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  1. Jun 2025
    1. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer #1 (Public review):

      Wang et al. investigated how sexual failure influences sweet taste perception in male Drosophila. The study revealed that courtship failure leads to decreased sweet sensitivity and feeding behavior via dopaminergic signaling. Specifically, the authors identified a group of dopaminergic neurons projecting to the suboesophageal zone that interacts with sweet-sensing Gr5a+ neurons. These dopaminergic neurons positively regulate the sweet sensitivity of Gr5a+ neurons via DopR1 and Dop2R receptors. Sexual failure diminishes the activity of these dopaminergic neurons, leading to reduced sweet-taste sensitivity and sugar-feeding behavior in male flies. These findings highlight the role of dopaminergic neurons in integrating reproductive experiences to modulate appetitive sensory responses.

      Previous studies have explored the dopaminergic-to-Gr5a+ neuronal pathways in regulating sugar feeding under hunger conditions. Starvation has been shown to increase dopamine release from a subset of TH-GAL4 labeled neurons, known as TH-VUM, in the suboesophageal zone. This enhanced dopamine release activates dopamine receptors in Gr5a+ neurons, heightening their sensitivity to sugar and promoting sucrose acceptance in flies. Since the function of the dopaminergic-to-Gr5a+ circuit motif has been well established, the primary contribution of Wang et al. is to show that mating failure in male flies can also engage this circuit to modulate sugar-feeding behavior. This contribution is valuable because it highlights the role of dopaminergic neurons in integrating diverse internal state signals to inform behavioral decisions.

      An intriguing discrepancy between Wang et al. and earlier studies lies in the involvement of dopamine receptors in Gr5a+ neurons. Prior research has shown that Dop2R and DopEcR, but not DopR1, mediate starvation-induced enhancement of sugar sensitivity in Gr5a+ neurons. In contrast, Wang et al. found that DopR1 and Dop2R, but not DopEcR, are involved in the sexual failure-induced decrease in sugar sensitivity in these neurons. I wish the authors had further explored or discussed this discrepancy, as it is unclear how dopamine release selectively engages different receptors to modulate neuronal sensitivity in a context-dependent manner.

      Our immunostaining experiments showed that three dopamine receptors, Dop1R1, Dop2R, and DopEcR were expressed in Gr5a<sup>+</sup> neurons in the proboscis, which was consistent with previous findings by using RT-PCR (Inagaki et al 2012). As the reviewer pointed out, we found that Dop1R1 and Dop2R were required for courtship failure-induced suppression of sugar sensitivity, whereas Marella et al 2012 and Inagaki et al 2012 found that Dop2R and DopEcR were required for starvation-induced enhancement of sugar sensitivity. These results may suggest that different internal states (courtship failure vs. starvation) modulate the peripheral sensory system via different signaling pathways (e.g. different subsets of dopaminergic neurons; different dopamine release mechanisms; and different dopamine receptors). We have discussed these possibilities in the revised manuscript.

      The data presented by Wang et al. are solid and effectively support their conclusions. However, certain aspects of their experimental design, data analysis, and interpretation warrant further review, as outlined below.

      (1) The authors did not explicitly indicate the feeding status of the flies, but it appears they were not starved. However, the naive and satisfied flies in this study displayed high feeding and PER baselines, similar to those observed in starved flies in other studies. This raises the concern that sexually failed flies may have consumed additional food during the 4.5-hour conditioning period, potentially lowering their baseline hunger levels and subsequently reducing PER responses. This alternative explanation is worth considering, as an earlier study demonstrated that sexually deprived males consumed more alcohol, and both alcohol and food are known rewards for flies. To address this concern, the authors could remove food during the conditioning phase to rule out its influence on the results.

      This is an important consideration. To rule out potential confound from food intake during courtship conditioning, we have now also conducted courtship conditioning in vials absent of food. In the absence of any feeding opportunity over the 4.5-hour courtship conditioning period, sexually rejected males still exhibited a robust decrease in sweet taste sensitivity compared with Naïve and Satisfied controls (Figure 1-supplement 1C). These data confirm that the suppression of PER is driven by courtship failure per se, rather than by differences in feeding during the conditioning phase.

      (2) Figure 1B reveals that approximately half of the males in the Failed group did not consume sucrose yet Figure 1-S1A suggests that the total volume consumed remained unchanged. Were the flies that did not consume sucrose omitted from the dataset presented in Figure 1-S1A? If so, does this imply that only half of the male flies experience sexual failure, or that sexual failure affects only half of males while the others remain unaffected? The authors should clarify this point.

      Our initial description of the experimental setup might be a bit confusing. Here is a brief clarification of our experimental design and we have further clarified the details in the revised manuscript, which should resolve the reviewer’s concerns:

      After the behavioral conditioning, male flies were divided for two assays. On the one hand, we quantified PER responses of individual flies. As shown in Figure 1C, Failed males exhibited decreased sweet sensitivity (as demonstrated by the right shift of the dose-response curve). On the other hand, we sought to quantify food consumption of individual flies by using the MAFE assay (Qi et al 2005).

      In the initial submission, we used 400 mM sucrose for the MAFE assay. When presented with 400 mM sucrose, approximately 100% of the flies in the Naïve and Satisfied groups, and 50% of the flies in the Failed group, extended their proboscis and started feeding, as a natural consequence of decreased sugar sensitivity (Figure 1B). We were able to quantify the actual volume of food consumed of these flies showing PER responses towards 400 mM sucrose and observed no change (Figure 1-supplement 1A, left). To avoid potential confusion, we have now repeated the MAFE assay with 800 mM sucrose, which elicited feeding in ~100% of flies among all three groups, as shown in Figure 1C. Again, we observed no change in food intake (Figure 1-supplement 1A, right).

      These experiments in combination suggest that sexual failure suppresses sweet sensitivity of the Failed males. Meanwhile, as long as they still responded to a certain food stimulus and initiated feeding, the volume of food consumption remained unchanged. These results led us to focus on the modulatory effect of sexual failure on the sensory system, the main topic of this present study.

      (3) The evidence linking TH-GAL4 labeled dopaminergic neurons to reduced sugar sensitivity in Gr5a+ neurons in sexually failed males could be further strengthened. Ideally, the authors would have activated TH-GAL4 neurons and observed whether this restored GCaMP responses in Gr5a+ neurons in sexually failed males. Instead, the authors performed a less direct experiment, shown in Figures 3-S1C and D. The manuscript does not describe the condition of the flies used in this experiment, but it appears that they were not sexually conditioned. I have two concerns with this experiment. First, no statistical analysis was provided to support the enhancement of sucrose responses following activation of TH-GAL4 neurons. Second, without performing this experiment in sexually failed males, the authors lack direct evidence to confirm that the dampened response of Gr5a+ neurons to sucrose results from decreased activity in TH-GAL4 neurons.

      We have now quantified the effect of TH<sup>+</sup> neuron activation on Gr5a<sup>+</sup> neuron calcium responses. in Naïve males, dTRPA1-mediated activation of TH<sup>+</sup> cells significantly enhanced sucrose-induced calcium responses (Figure 3-supplement 1C); while in Failed males, the baseline activity of Gr5a<sup>+</sup> neurons was lower (Figure 3C), the same activation also produced significant (even slightly larger) effect on the calcium responses of Gr5a<sup>+</sup> neurons (Figure 3-supplement 1D).

      Taken together, we would argue that these experiments using both Naïve and Failed males were adequate to show a functional link between TH<sup>+</sup> neurons and Gr5a<sup>+</sup> neurons. Combining with the results that these neurons form active synapses (Figure 3-supplement 1B) and that the activity of TH<sup>+</sup> neurons was dampened in sexually failed males (Figure 3G-I), our data support the notion that sexual failure suppresses sweet sensitivity via TH-Gr5a circuitry.

      (4) The statistical methods used in this study are poorly described, making it unclear which method was used for each experiment. I suggest that the authors include a clear description of the statistical methods used for each experiment in the figure legends. Furthermore, as I have pointed out, there is a lack of statistical comparisons in Figures 3-S1C and D, a similar problem exists for Figures 6E and F.

      We have added detailed information of statistical analysis in each figure legend.

      (5) The experiments in Figure 5 lack specificity. The target neurons in this study are Gr5a+ neurons, which are directly involved in sugar sensing. However, the authors used the less specific Dop1R1- and Dop2R-GAL4 lines for their manipulations. Using Gr5a-GAL4 to specifically target Gr5a+ neurons would provide greater precision and ensure that the observed effects are directly attributable to the modulation of Gr5a+ neurons, rather than being influenced by potential off-target effects from other neuronal populations expressing these dopamine receptors.

      We agree with the reviewer that manipulating Dop1R1 and Dop2R genes (Figure 4) and the neurons expressing them (Figure 5) might have broader impacts. For specificity, we have also tested the role of Dop1R1 and Dop2R in Gr5a<sup>+</sup> neurons by RNAi experiments (Figure 6). As shown by both behavioral and calcium imaging experiments, knocking down Dop1R1 and Dop2R in Gr5a<sup>+</sup> neurons both eliminated the effect of sexual failure to dampen sweet sensitivity, further confirming the role of these two receptors in Gr5a<sup>+</sup> neurons.

      (6) I found the results presented in Fig. 6F puzzling. The knockdown of Dop2R in Gr5a+ neurons would be expected to decrease sucrose responses in naive and satisfied flies, given the role of Dop2R in enhancing sweet sensitivity. However, the figure shows an apparent increase in responses across all three groups, which contradicts this expectation. The authors may want to provide an explanation for this unexpected result.

      We agree that there might be some potential discrepancies. We have now addressed the issues by re-conducting these calcium imaging experiments again with a head-to-head comparison with the controls (Gr5a-GCaMP, +/- Dop1R1 and Dop2R RNAi).

      In these new experiments, Dop1R1 or Dop2R knockdown completely prevented the suppression of Gr5a<sup>+</sup> neuron responsiveness by courtship failure (Figure 6E), whereas the activities of Gr5a<sup>+</sup> neurons in Naïve/Satisfied groups were not altered. These results demonstrate that Dop1R1 and Dop2R are specifically required to mediate the decrease in sweet sensitivity following courtship failure.

      (7) In several instances in the manuscript, the authors described the effects of silencing dopamine signaling pathways or knocking down dopamine receptors in Gr5a neurons with phrases such as 'no longer exhibited reduced sweet sensitivity' (e.g., L269 and L288), 'prevent the reduction of sweet sensitivity' (e.g., L292), or 'this suppression was reversed' (e.g. L299). I found these descriptions misleading, as they suggest that sweet sensitivity in naive and satisfied groups remains normal while the reduction in failed flies is specifically prevented or reversed. However, this is not the case. The data indicate that these manipulations result in an overall decrease in sweet sensitivity across all groups, such that a further reduction in failed flies is not observed. I recommend revising these descriptions to accurately reflect the observed phenotypes and avoid any confusion regarding the effects of these manipulations.

      We have changed the wording in the revised manuscript. In brief, we think that these manipulations have two consequences: suppressing the overall sweet sensitivity, and eliminating the effect of sexual failure on sweet sensitivity.

      Reviewer #2 (Public review):

      Summary:

      The authors exposed naïve male flies to different groups of females, either mated or virgin. Male flies can successfully copulate with virgin females; however, they are rejected by mated females. This rejection reduces sugar preference and sensitivity in males. Investigating the underlying neural circuits, the authors show that dopamine signaling onto GR5a sensory neurons is required for reduced sugar preference. GR5a sensory neurons respond less to sugar exposure when they lack dopamine receptors.

      Strengths:

      The findings add another strong phenotype to the existing dataset about brain-wide neuromodulatory effects of mating. The authors use several state-of-the-art methods, such as activity-dependent GRASP to decipher the underlying neural circuitry. They further perform rigorous behavioral tests and provide convincing evidence for the local labellar circuit.

      Weaknesses:

      The authors focus on the circuit connection between dopamine and gustatory sensory neurons in the male SEZ. Therefore, it is still unknown how mating modulates dopamine signaling and what possible implications on other behaviors might result from a reduced sugar preference.

      We agree with the reviewer that in the current study, we did not examine the exact mechanism of how mating experience suppressed the activity of dopaminergic neurons in the SEZ. The current study mainly focused on the behavioral characterization (sexual failure suppresses sweet sensitivity) and the downstream mechanism (TH-Gr5a pathway). We think that examining the upstream modulatory mechanism may be more suitable for a separate future study.

      We believe that a sustained reduction in sweet sensitivity (not limited to sucrose but extend to other sweet compounds Figure 1-supplement 1D-E) upon courtship failure suggests a generalized and sustained consequence on reward-related behaviors. Sexual failure may thus resemble a state of “primitive emotion” in fruit flies. We have further discussed this possibility in the revised manuscript.

      Reviewer #3 (Public review):

      Summary

      In this work, the authors asked how mating experience impacts reward perception and processing. For this, they employ fruit flies as a model, with a combination of behavioral, immunostaining, and live calcium imaging approaches.

      Their study allowed them to demonstrate that courtship failure decreases the fraction of flies motivated to eat sweet compounds, revealing a link between reproductive stress and reward-related behaviors. This effect is mediated by a small group of dopaminergic neurons projecting to the SEZ. After courtship failure, these dopaminergic neurons exhibit reduced activity, leading to decreased Gr5a+ neuron activity via Dop1R1 and Dop2R signaling, and leading to reduced sweet sensitivity. The authors therefore showed how mating failure influences broader behavioral outputs through suppression of the dopamine-mediated reward system and underscores the interactions between reproductive and reward pathways.

      Concern

      My main concern regarding this study lies in the way the authors chose to present their results. If I understood correctly, they provided evidence that mating failure induces a decrease in the fraction of flies exhibiting PER. However, they also showed that food consumption was not affected (Fig. 1, supplement), suggesting that individuals who did eat consumed more. This raises questions about the analysis and interpretation of the results. Should we consider the group as a whole, with a reduced sensitivity to sweetness, or should we focus on individuals, with each one eating more? I am also concerned about how this could influence the results obtained using live imaging approaches, as the flies being imaged might or might not have been motivated to eat during the feeding assays. I would like the authors to clarify their choice of analysis and discuss this critical point, as the interpretation of the results could potentially be the opposite of what is presented in the manuscript.

      Please refer to our responses to the Public Review (Reviewer 1, Point 2) for details.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      (1) The label for the y-axis in Figure 1B should be "fraction", not "percentage".

      We have revised the figure as suggested.

      (2) I suggest that the authors indicate the ROIs they used to quantify the signal intensity in Figure 3E and G.

      We have revised the figures as suggested.

      (3) There is a typo in Figure 4A: it should be "Wilde type", not "Wide type".

      We have revised the figure as suggested.

      (4) The elav-GAL4/+ data in Figure 4-S1B, C, and D appears to be reused across these panels. However, the number of asterisks indicating significance in the MAT plots differs between them (three in panels B and C, and four in panel D). Is this a typo?

      It is indeed a typo, and we have revised the figure accordingly.

      Reviewer #2 (Recommendations for the authors):

      Additional comments:

      The authors should add this missing literature about dopamine and neuromodulation in courtship:

      Boehm et al., 2022 (eLife) - this study shows that mating affects olfactory behavior in females.

      Cazalé-Debat et al., 2024 (Nature) - Mating proximity blinds threat perception.

      Gautham et al., 2024 (Nature) - A dopamine-gated learning circuit underpins reproductive state-dependent odor preference in Drosophila females.

      We have added these references in the introduction section.

      Has the mating behavior been quantified? How often did males copulate with mated and virgin females?

      We tried to examine the copulation behavior based on our video recordings. In the “Failed” group (males paired with mated females), we observed virtually no successful copulation events at all, confirming that nearly 100% of those males experienced sexual failure. In contrast, males in the “Satisfied” group (paired with virgin females) mated on average 2-3 times during the 4.5-hour conditioning period. We have added some explanations in the manuscript.

      Do the rejected males live shorter? Is the effect also visible when they are fed with normal fly food, or is it only working with sugar?

      We did not directly measure the lifespan of these males. But we conducted a relevant assay (starvation resistance), in which “Failed” males died significantly faster than both Naïve and Satisfied controls, indicating a clear reduction in their ability to endure food deprivation (Figure 1-supplement 1B). Since sweet taste is a primary cue for food detection in Drosophila, and sugar makes up a large portion of their standard diet, the drop in sugar sensitivity we observed in Failed males could likewise impair their perception and consumption of regular fly food, hence their resistance to starvation.

      Also, the authors mention that the reward pathway is affected, this is probably the case as sugar sensation is impaired. One interesting experiment would be (and maybe has been done?) to test rejected males in normal odor-fructose conditioning. The data would suggest that they would do worse.

      We have already measured how courtship failure affected fructose sensitivity (Figure 1 supplement 1D), and we found that the reduction in fructose perception was even more profound than for sucrose. We have not yet tested whether Failed males showed deficits in odor-fructose associative conditioning. That was indeed a very interesting direction to explore. But olfactory reward learning relies on molecular and circuit mechanisms distinct from those governing taste. We therefore argue such experiments would be more suitable in a separate, follow up study.

      The authors could have added another group where males are exposed to other males. It would be interesting if this is also a "stressful" context and if it would also reduce sugar preference - probably beyond the scope of this paper.

      In our experiments, all flies, including those in the Naïve, Failed, and Satisfied groups, were housed in groups of 25 males per vial before the conditioning period (and the Naïve group remained in the same group housing until PER testing). This means every cohort experienced the same level of “social stress” from male-male interactions. While it would indeed be interesting to compare that to solitary housing or other male-only exposures, isolation itself imposes a different kind of stress, and disentangling these effects on sugar preference would require a separate, dedicated study beyond the scope of the present work.

      Would the behavior effect also show up with experienced males? Maybe this has been tested before. Does mating rejection in formerly successful males have the same impact?

      As suggested by the reviewer, we performed an additional experiment in which males that had previously mated successfully were subsequently subjected to courtship rejection. As shown in Figure 1 supplement 1F, prior successful mating did not prevent the decline in sweet sensitivity induced by subsequent mating failure, indicating that even experienced males exhibit the reduction in sugar sensitivity after rejection.

      Is the same circuit present and functioning in females? Does manipulating dopamine receptors in GR5a neurons in females lead to the same phenotype? This would suggest that different internal states in males and females could lead to the same phenotype and circuit modulations.

      This is indeed a very interesting suggestion. In male flies, Gr5a-specific knockdown of dopamine receptors did not alter baseline sweet sensitivity, but it selectively prevented the reduction in sugar perception that followed mating failure (Figure 6C-D), indicating that this dopaminergic pathway is engaged only in the context of courtship rejection. By extension, knocking down the same receptors in female GR5a neurons would likewise be expected to leave their basal sugar sensitivity unchanged. Moreover, because there is currently no established paradigm for inducing mating failure in female flies, we cannot yet test whether sexual rejection similarly modulates sweet taste in females, or whether it operates via the same circuit.

      Reviewer #3 (Recommendations for the authors):

      Suggestions to the authors:

      Introduction, line 61. I suggest the authors add references in fruit flies concerning the rewarding nature of mating. For example, the paper from Zhang et al, 2016 "Dopaminergic Circuitry Underlying Mating Drive" demonstrates the role of the dopamine rewarding system in mating drive. There is a large body of literature showing the link between dopamine and mating.

      We have added this literature in the introduction section.

      Figure 1B and Figure Supplement 1: If I understood correctly, Figure Supplement 1A shows that the total food consumption across all tested flies remains unchanged. However, fewer flies that failed to mate consumed sucrose. I would be curious to see the results for sucrose consumption per individual fly that did eat. According to their results, individual flies that failed to mate should consume more sucrose. This would change the conclusion. The authors currently show that a group of flies that failed to mate consumed less sucrose overall, but since fewer males actually ate, those that failed to mate and did eat consumed more sucrose. The authors should distinguish between failed and satisfied flies in two groups: those that ate and those that did not.

      Please see our responses to the Public Review for details (Reviewer 1, Point 2).

      Figure 1C, right: For a better understanding of all the "MAT" figures, I suggest the authors start the Y axis with the unit 25 and increase it to 400. This would match better the text (line 114) saying that it was significantly elevated in the failed group. As it is, we have the impression of a decrease in the graph.

      We have revised the figures accordingly.

      Line 103: When suggesting a reduced likelihood of meal initiation of these males, do these males take longer to eat when they did it? In other words, is the latency to eat increased in failed males? That would be a good measure of motivational state.

      We tried to analyze feeding latency in the MAFE assay by measuring the time from sucrose presentation to the first proboscis extension, but it was too short to be accurately accounted. Nevertheless, when conducting the experiments, we did not feel/observe any significant difference in the feeding latency between Failed males and Naïve or Satisfied controls.

      Line 117. I don't understand which results the authors refer to when writing "an overall elevation in the threshold to initiate feeding upon appetitive cues". Please specify.

      This phrase refers to the fact that for every sweet tastant we tested, including sucrose (Figure 1C), fructose and glucose (Figure 1 supplement 1D-E), the concentration-response curve in Failed males shifted to the right, and the Mean Acceptance Threshold (MAT) was significantly higher. In other words, for these different appetitive cues, mating failure raised the concentration of sugar required to trigger a proboscis extension, indicating a general elevation in the threshold to initiate feeding upon an appetitive cue.

      Figure 1D. Please specify the time for the satisfied group.

      For clarity, the Naïve and Satisfied groups in Figure 1D each represent pooled data from 0 to 72 hours post-treatment, as their sweet sensitivity remained stable throughout this period. Only the Failed group was shown with time-resolved data, since it was the only group exhibiting a dynamic change in sugar sensitivity over time. We have now specified this in the figure legend.

      Figure 1F. The phenotype was not totally reversed in failed-re-copulated males. Could it be due to the timing between failure and re-copulation? I suggest the authors mention in the figure or in the text, the time interval between failure and re-copulation.

      We’d like to clarify that the interval between the initial treatment (“Failed”) and the opportunity for re copulation was within 30 minutes. The incomplete reversal in the Failed-re-copulated group indeed raised interesting questions. One possible explanation is that mating failure reduces synaptic transmissions between the SEZ dopaminergic neurons and Gr5a<sup>+</sup> sweet sensory neurons (Figure 3), and the regeneration of these transmissions takes a longer time. We have added this information to the figure legend and the Method section.

      Line 227-228 and Figure 3E. The authors showed that the synaptic connections between dopaminergic neurons and Gr5a+ GRNs were significantly weakened. I am wondering about the delay between mating failure and the GFP observation. It would be informative to know this timing to interpret this decrease in synaptic connections. If the timing is relatively long, it is possible that we can observe a neuronal plasticity. However, if this timing is very short, I would not expect such synaptic plasticity.

      The interval between the behavioral treatment and the GRASP-GFP experiment was approximately 20 hours. We chose this time window because it was sufficient for both GFP expression and accumulation. Therefore, the observed reduction in synaptic connections between dopaminergic neurons and Gr5a<sup>+</sup> GRNs likely reflects a genuine, experience-induced structural and functional change rather than an immediate, transient effect. We have added this information to the revised manuscript for clarity in the Method section.

      Line 240-243: The authors demonstrated that there is a reduction of CaLexA-mediated GFP signals in dopaminergic neurons in the SEZ after mating failure, but not a reduction in Gr5a+ GRNs. I suggest replacing "indicate" with "suggest' in line 240.

      We have made the change accordingly. Meanwhile, we would like to clarify that while we observed a reduction of NFAT signal in SEZ dopaminergic neurons (Figure 3G), we did not directly test NFAT signal in Gr5a<sup>+</sup> neurons. Notably, the results that the synaptic transmissions from SEZ dopaminergic neurons to Gr5a<sup>+</sup> neurons were weakened (Figure 3E-F), and the reduction of NFAT signal in SEZ dopaminergic neurons (Figure 3G-I), were in line with a reduction in sweet sensitivity of Gr5a<sup>+</sup> neurons upon courtship failure (Figure 3B-D).

      Line 243: replace "consecutive" with "constitutive".

      We have revised it accordingly.

      Figure 5: I have trouble understanding the results obtained in Figure 5. Both constitutive activation and inhibition of Dop1R1 and Dop2R neurons lead to the same results, knowing that males who failed mating no longer exhibit decreased sweet sensitivity. I would have expected contrary results for both experimental conditions. I suggest the author to discuss their results.

      Both activation and inhibition of Dop1R1 and Dop2R neurons eliminated the effect of courtship failure on sweet sensitivity (Figure 5). These results are in line with our hypothesis that courtship failure leads to changes in dopamine signaling and hence sweet sensitivity. If dopamine signaling via Dop1R1 and Dop2R was locked, either to a silenced or a constitutively activated state, the effect of courtship failure on sweet sensitivity was eliminated.

      Nevertheless, as the reviewer pointed out, constitutive activation/inhibition should in principle lead to the opposite effect on Naïve flies. In fact, when Dop1R1<sup>+</sup>/Dop2R<sup>+</sup> neurons were silenced in Naïve flies, PER to sucrose was significantly reduced (Figure 5C-D), confirming that these neurons normally facilitate sweet sensation. Meanwhile, while neuronal activation by NaChBac did show a trend towards enhanced PER compared to the GAL4/+ controls, it did not exhibit a difference compared to +>UAS-NaChBac controls that showed a high PER level, likely due to a potential ceiling effect. We have added the discussions to the manuscript.

      Figure 7: I suggest the authors modify their figure a bit. It is not clear why in failed mating, the red arrow in "behavioral modulation" goes to the fly. The authors should find another way to show that mating failure decreased the percentage of flies that are motivated to eat sugar.

      We have modified the figure as suggested.

      Overall, I would suggest the authors be precautious with their conclusion. For example, line 337= "sexual failure suppressed feeding behavior". This is not what is shown by this study. Here, the study shows that mating failure decreases the fraction of flies to eat sucrose. Unless the authors demonstrate that this decrease is generalizable to other metabolites, I suggest the authors modify their conclusion.

      While we primarily used sucrose as the stimulant in our experiments, we also tested responses to two other sugars: fructose and glucose (Figure 1 supplement 1D-E). In all three cases, mating failure led to a significant reduction in sweet perception, suggesting that the effect of courtship failure is not limited to a single metabolite but rather reflects a general decrease in sweet sensitivity. Meanwhile, reduced sweet sensitivity indeed led to a reduction of feeding initiation (Figure 1).

    1. This stackup places power and ground planes adjacent to each other (Layers 2–3 and 6–7), maximizing interplane capacitance and minimizing impedance. A thinner dielectric (e.g., 4 mils) between these planes further increases capacitance, reducing the voltage drop caused by displacement current.

      Layer 1: Signal

      Layer 2: Ground

      Layer 3: Power

      Layer 4: Signal

      Layer 5: Signal

      Layer 6: Power

      Layer 7: Ground

      Layer 8: Signal

    2. In this stackup, the power plane on Layer 5 is separated from the ground planes on Layers 2 and 7 by multiple signal layers and dielectric layers. This configuration is common in designs where cost or layer count constraints limit the number of ground planes or dictate plane placement. However, it amplifies the challenges of using power planes as reference planes, as the increased interplane distance reduces capacitance and increases impedance.

      Layer 1: Signal

      Layer 2: Ground

      Layer 3: Signal

      Layer 4: Signal

      Layer 5: Power

      Layer 6: Signal

      Layer 7: Ground

      Layer 8: Signal

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      In their comprehensive analysis Diallo et al. deorphanise the first olfactory receptor of a nonhymenopteran eusocial insect - a termite and identified the well-established trail pheromone neocembrene as the receptor's best ligand. By using a large set of odorants the authors convincingly show that, as expected for a pheromone receptor, PsimOR14 is very narrowly tuned. While the authors first make use of an ectopic expression system, the empty neuron of Drosophila melanogaster, to characterise the receptor's responses, they next perform single sensillum recordings with different sensilla types on the termite antenna. By that, they are able to identify a sensillum that houses three neurons, of which the B neuron exhibits the narrow responses described for PsimOR14. Hence the authors do not only identify the first pheromone receptor in a termite but can even localize its expression on the antenna. The authors in addition perform a structural analysis to explain the binding properties of the receptor and its major and minor ligands (as this is beyond my expertise, I cannot judge this part of the manuscript). Finally, they compare expression patterns of ORs in different castes and find that PsimOR14 is more strongly expressed in workers than in soldier termites, which corresponds well with stronger antennal responses in the worker caste.

      Strengths:

      The manuscript is well-written and a pleasure to read. The figures are beautiful and clear. I actually had a hard time coming up with suggestions.

      We thank the reviewer for the positive comments.

      Weaknesses:

      Whenever it comes to the deorphanization of a receptor and its potential role in behaviour (in the case of the manuscript it would be trail-following of the termite) one thinks immediately of knocking out the receptor to check whether it is necessary for the behaviour. However, I definitely do not want to ask for this (especially as the establishment of CRISPR Cas-9 in eusocial insects usually turns out to be a nightmare). I also do not know either, whether knockdowns via RNAi have been established in termites, but maybe the authors could consider some speculation on this in the discussion.

      We agree that a functional proof of the PsimOR14 function using reverse genetics would be a valuable addition to the study to firmly establish its role in trail pheromone sensing. Nevertheless, such a functional proof is difficult to obtain. Due to the very slow ontogenetic development inherent to termites (several months from an egg to the worker stage) the CRISPR Cas-9 is not a useful technique for this taxon. By contrast, termites are quite responsive to RNAimediated silencing and RNAi has previously been used for the silencing of the ORCo co-receptor in termites resulting in impairment of the trail-following behavior (DOI: 10.1093/jee/toaa248). Likewise, our previous experiments showed a decreased ORCo transcript abundance, lower sensitivity to neocembrene and reduced neocembrene trail following upon dsPsimORCo administration to P. simplex workers, while we did not succeed in reducing the transcript abundance of PsimOR14 upon dsPsimOR14 injection. We do not report these negative results in the present manuscript so as not to dilute the main message. In parallel, we are currently developing an alternative way of dsRNA delivery using nanoparticle coating, which may improve the RNAi experiments with ORs in termites.

      Reviewer #2 (Public review):

      Summary:

      In this manuscript, the authors performed the functional analysis of odorant receptors (ORs) of the termite Prorhinotermes simplex to identify the receptor of trail-following pheromone. The authors performed single-sensillum recording (SSR) using the transgenic Drosophila flies expressing a candidate of the pheromone receptor and revealed that PsimOR14 strongly responds to neocembrene, the major component of the pheromone. Also, the authors found that one sensillum type (S I) detects neocembrene and also performed SSR for S I in wild termite workers. Furthermore, the authors revealed the gene, transcript, and protein structures of PsimOR14, predicted the 3D model and ligand docking of PsimOR14, and demonstrated that PsimOR14 is higher expressed in workers than soldiers using RNA-seq for heads of workers and soldiers of P. simplex and that EAG response to neocembrene is higher in workers than soldiers. I consider that this study will contribute to further understanding of the molecular and evolutionary mechanisms of the chemoreception system in termites.

      Strength:

      The manuscript is well written. As far as I know, this study is the first study that identified a pheromone receptor in termites. The authors not only present a methodology for analyzing the function of termite pheromone receptors but also provide important insights in terms of the evolution of ligand selectivity of termite pheromone receptors.

      We thank the reviewer for the overall positive evaluation of the manuscript.

      Weakness:

      As you can see in the "Recommendations to the Authors" section below, there are several things in this paper that are not fully explained about experimental methods. Except for this point, this paper appears to me to have no major weaknesses.

      We address point by point the specific comments listed in the Recommendation to the authors chapter below.

      Reviewer #3 (Public review):

      Summary:

      Chemical communication is essential for the organization of eusocial insect societies. It is used in various important contexts, such as foraging and recruiting colony members to food sources. While such pheromones have been chemically identified and their function demonstrated in bioassays, little is known about their perception. Excellent candidates are the odorant receptors that have been shown to be involved in pheromone perception in other insects including ants and bees but not termites. The authors investigated the function of the odorant receptor PsimOR14, which was one of four target odorant receptors based on gene sequences and phylogenetic analyses. They used the Drosophila empty neuron system to demonstrate that the receptor was narrowly tuned to the trail pheromone neocembrene. Similar responses to the odor panel and neocembrene in antennal recordings suggested that one specific antennal sensillum expresses PsimOR14. Additional protein modeling approaches characterized the properties of the ligand binding pocket in the receptor. Finally, PsimOR14 transcripts were found to be significantly higher in worker antennae compared to soldier antennae, which corresponds to the worker's higher sensitivity to neocembrene.

      Strengths:

      The study presents an excellent characterization of a trail pheromone receptor in a termite species. The integration of receptor phylogeny, receptor functional characterization, antennal sensilla responses, receptor structure modeling, and transcriptomic analysis is especially powerful. All parts build on each other and are well supported with a good sample size.

      We thank the reviewer for these positive comments.

      Weaknesses:

      The manuscript would benefit from a more detailed explanation of the research advances this work provides. Stating that this is the first deorphanization of an odorant receptor in a clade is insufficient. The introduction primarily reviews termite chemical communication and deorphanization of olfactory receptors previously performed. Although this is essential background, it lacks a good integration into explaining what problem the current study solves.

      We understand the comment about the lack of an intelligible cue to highlight the motivation and importance of the present study. In the current version of the manuscript the introduction has been reworked. As suggested by Reviewer 3 in the Recommendations section below, the introduction now integrates some parts of the original discussion, especially the part discussing the OR evolution and emergence of eusociality in hymenopteran social insects and in termites, while underscoring the need of data from termites to compare the commonalities and idiosyncrasies in neurophysiological (pre)adaptations potentially linked with the independent eusociality evolution in the two main social insect clades.

      Selecting target ORs for deorphanization is an essential step in the approach. Unfortunately, the process of choosing these ORs has not been described. Were the authors just lucky that they found the correct OR out of the 50, or was there a specific selection process that increased the probability of success?

      Indeed, we were extremely lucky. Our strategy was to first select a modest set of ORs to confirm the feasibility of the Empty Neuron Drosophila system and newly established SSR setup, while taking advantage of having a set of termite pheromones, including those previously identified in the P. simplex model, some of them de novo synthesized for this project. The selection criteria for the first set of four receptors were (i) to have full-length ORF and at least 6 unambiguously predicted transmembrane regions, and (ii) to be represented on different branches (subbranches) of the phylogenetic tree. Then it was a matter of a good luck to hit the PsimOR14 selectively responding to the genuine P. simplex trail-following pheromone main component. In the revised version, we state these selection criteria in the results section (Phylogenetic reconstruction and candidate OR selection).

      The deorphanization attempts of additional P. simplex ORs are currently running.

      The authors assigned antennal sensilla into five categories. Unfortunately, they did not support their categories well. It is not clear how they were able to differentiate SI and SII in their antennal recordings.

      We agree that the classification of multiporous sensilla into five categories lacks robust discrimination cues. The identification of the neocembrene-responding sensillum was initially carried out by SSR measurements on individual olfactory sensilla of P. simplex workers one-by-one and the topology of each tested sensillum was recorded on optical microscope photographs taken during the SSR experiment. Subsequently, the SEM and HR-SEM were performed in which we localized the neocembrene sensillum and tried to find distinguishing characters. We admit that these are not robust. Therefore, in the revised version of the manuscript we decided to abandon the attempt of sensilla classification and only report the observations about the specific sensillum in which we consistently recorded the response to neocembrene (and geranylgeraniol). The modifications affect Fig. 4, its legend and the corresponding part of the results section (Identification of P. simplex olfactory sensillum responding to neocembrene).

      The authors used a large odorant panel to determine receptor tuning. The panel included volatile polar compounds and non-volatile non-polar hydrocarbons. Usually, some heat is applied to such non-volatile odorants to increase volatility for receptor testing. It is unclear how it is possible that these non-volatile compounds can reach the tested sensilla without heat application.

      The reviewer points at an important methodological error we made while designing the experiments. Indeed, the inclusion of long-chain hydrocarbons into Panel 1 without additional heat applied to the odor cartridges was inappropriate, even though the experiments were performed at 25–26 °C. We carefully considered the best solution to correct the mistake and finally decided to remove all tested ligands beyond C22 from Panel 1, i.e. altogether five compounds. These changes did not affect the remaining Panels 2-4 (containing compounds with sufficient volatility), nor did they affect the message of the manuscript on highly selective response of PsimOR14 to neocembrene (and geranylgeryniol). In consequence, Figures 2, 3 and 5 were updated, along with the supplementary tables containing the raw data on SSR measurements. In addition, the tuning curve for PsimOR14 was re-built and receptor lifetime sparseness value re-calculated (without any important change). We also exchanged squalene for limonene in the docking and molecular dynamics analysis and made new calculations.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      (1) L 208: "than" instead of "that"

      Corrected.

      (2) L 527+527 strange squares (•) before dimensions

      Apparently an error upon file conversion, corrected.

      (3) L553 "reconstructing" instead of "reconstruct"

      Corrected.

      (4) Two references (Chahda et al. and Chang et al. appear too late in the alphabet.

      Corrected. Thank you for spotting this mistake. Due to our mistake the author list was ordered according to the alphabet in Czech language, which ranks CH after H.

      Reviewer #2 (Recommendations for the authors):

      (1) L148: Why did the authors select only four ORs (PsimOR9, 14, 30, and 31) though there are 50 ORs in P. simplex? I would like you to explain why you chose them.

      Our strategy was to first select a modest set of ORs to confirm the feasibility of the Empty Neuron Drosophila system and newly established SSR setup, while taking advantage of having a set of termite pheromones, including those previously identified in the P. simplex model, some of them de novo synthesized for this project. Then, it was a matter of a good luck to hit the PsimOR14 selectively responding to the genuine P. simplex trail-following pheromone main component, while the deorphanization attempts of a set of additional P. simplex ORs is currently running. In the revised version of the manuscript, we state the selection criteria for the four ORs studied in the Results section (Phylogenetic reconstruction and candidate OR selection).

      (2) L149: Where is Figure 1A? Does this mean Figure 1?

      Thank you for spotting this mistake. Fig. 1 is now properly labelled as Fig. 1A and 1B in the figure itself and in the legend. Also the text now either refers to either 1A or 1B.

      (3) Figure 1: The authors also showed the transcription abundance of all 50 ORs of P. simplex in the right bottom of Figure 1, but there is no explanation about it in the main text.

      The heatmap reporting the transcript abundances is now labelled as Fig. 1B and is referred to in the discussion section (in the original manuscript it was referred to on the same place as Fig. 1).

      (4) L260-265: The authors confirmed higher expression of PsimOR14 in workers than soldiers by using RNA-seq data and stronger EAG responses of PsimOR14 to neocembrene in workers than soldiers, but I think that confirming the expression levels of PsimOR14 in workers and soldiers by RT-qPCR would strengthen the authors' argument (it is optional).

      qPCR validation is a suitable complement to read count comparison of RNA Seq data, especially when the data comes from one-sample transcriptomes and/or low coverage sequencing. Yet, our RNA Seq analysis is based on sequencing of three independent biological replicates per phenotype (worker heads vs. soldier heads) with ~20 millions of reads per sample. Thus, the resulting differential gene expression analysis is a sufficient and powerful technique in terms of detection limit and dynamic range.

      We admit that the replicate numbers and origin of the RNA seq data should be better specified since the Methods section only referred to the GenBank accession numbers in the original manuscript. Therefore, we added more information in the Methods section (Bioinformatics) and make clear in the Methods that this data comes from our previous research and related bioproject.

      (5) L491: I think that "The synthetic processes of these fatty alcohols are ..." is better.

      We replaced the sentence with “The de novo organic synthesis of these fatty alcohols is described …”

      (6) L525 and 527: There are white squares between the number and the unit. Perhaps some characters have been garbled.

      Apparently an error upon file conversion, corrected.

      (7) L795: ORCo?

      Corrected.

      (8) L829-830 & Figure 4: Where is Figure 4D?

      Thank you for spotting this mistake from the older version of Figure 4. The SSR traces referred to in the legend are in fact a part of Figure 5. Moreover, Figure 4 is now reworked based on the comments by Reviewer 3.

      (9) L860-864: Why did the authors select the result of edgeR for the volcano plot in Figure 7 although the authors use both DESeq2 and edgeR? An explanation would be needed.

      Both algorithms, DESeq2 and EdgeR, are routinely used for differential gene expression analysis. Since they differ in read count normalization method and statistical testing we decided to use both of them independently in order to reduce false positives. Because the resulting fold changes were practically identical in both algorithms (results for both analyses are listed in Supplementary table S15), we only reported in Fig. 7 the outputs for edgeR to avoid redundancies. We added in the Results section the information that both techniques listed PsimOR14 among the most upregulated in workers.

      Reviewer #3 (Recommendations for the authors):

      The discussion contains many descriptions that would fit better into the introduction, where they could be used to hint at the study's importance (e.g., 292-311, 381-412). The remaining parts often lack a detailed discussion of the results that integrates details from other insect studies. Although references were provided, no details were usually outlined. It would be helpful to see a stronger emphasis on what we learn from this study.

      Along with rewriting the introduction, we also modified the discussion. As suggested, the lines 292-311 were rewritten and placed in the introduction. By contrast, we preferred to keep the two paragraphs 381-412 in the discussion, since both of them outline the potential future interesting targets of research on termite ORs.

      As suggested, the discussion has been enriched and now includes comparative examples and relevant references about the broad/narrow selectivity of insect ORs, about the expected breadth of tuning of pheromone receptors vs. ORs detecting environmental cues, about the potential role of additional neurons housed in the neocembrene-detecting sensillum of P. simplex workers, etc. From both introduction and discussion the redundant details on the chemistry of termite communication have been removed.

      This includes explanations of the advantages of the specific methodologies the authors used and how they helped solve the manuscript's problem. What does the phylogeny solve? Was it used to select the ORs tested? It would be helpful to discuss what the phylogeny shows in comparison to other well-studied OR phylogenies, like those from the social Hymenoptera.

      We understand the comment. In fact, our motivation to include the phylogenetic tree of termite ORs was essentially to demonstrate (i) the orthologous nature of OR diversity with few expansions on low taxonomic levels, and (ii) to demonstrate graphically the relationship among the four selected sequences. We do not attempt here for a comprehensive phylogenetic analysis, because it would be redundant given that we recently published a large OR phylogeny which includes all sequences used in the present manuscript and analysed them in the proper context of related (cockroaches) and unrelated insect taxa (Johny et al., 2023). This paper also discusses the termite phylogenetic pattern with those observed in other Insecta. This paper is repeatedly cited on appropriate places of the present manuscript and its main observations are provided in the Introduction section. Therefore, we feel that thorough discussion on termite phylogeny would be redundant in the present paper.

      The authors categorized the sensilla types. Potential problems in the categorization aside, it would be helpful to know if it is expected that you have sensilla specialized in perceiving one specific pheromone. What is known about sensilla in other insects?

      We understand. In the discussion of the revised version, we develop more about the features typical/expected for a pheromone receptor and the sensillum housing this receptor together with two other olfactory sensory neurons, including examples from other insects.

      As the manuscript currently stands, specialist readers with their respective background knowledge would find this study very interesting. In contrast, the general reader would probably fail to appreciate the importance of the results.

      We hope that the re-organized and simplified introduction may now be more intelligible even for non-specialist readers.

      (1) L35: Should "workers" be replaced with "worker antennae"?

      Corrected.

      (2) L62: Should "conservativeness" be replaced by "conservation"?

      Replaced with “parsimony”.

      (3) L129: How and why did the authors choose four candidate ORs? I could not find any information about this in the manuscript. I wondered why they did not pick the more highly expressed PsimOr20 and 26 (Figure 7).

      As already replied above in the Weaknesses section, we selected for the first deorphanization attempts only a modest set of four ORs, while an additional set is currently being tested. We also explained above the inclusion criteria, i.e. (i) full-length ORF and at least 6 unambiguously predicted transmembrane regions, and (ii) presence on different branches (subbranches) of the OR phylogeny. For these reasons, we did not primarily consider the expression patterns of different ORs. As for Fig. 7, it shows differential expression between soldiers and workers, which was not the primary guideline either and the data was obtained only after having the ORs tested by SSR. Yet, even though we had data on P. simplex ORs expression (Fig. 1B), we did not presume that pheromone receptors should be among the most expressed ORs, given the richness of chemical cues detected by worker termites and unlike, e.g., male moths, where ORs for sex pheromones are intuitively highly expressed.

      The strategy of OR selection is specified in the results section of the revised manuscript under “Phylogenetic reconstruction and candidate OR selection”.

      (4) 198 to 200: SI, II, and III look very similar. Additional measurements rather than qualitative descriptions are required to consider them distinct sensilla. The bending of SIII could be an artifact of preparation. I do not see how the authors could distinguish between SI and SII under the optical microscope for recordings. A detailed explanation is required.

      As we responded above in “Weaknesses” chapter, we admit that the sensilla classification is not intelligible. Therefore, we decided in the revised version to abandon the classification of sensilla types and only focus on the observations made on the neocembreneresponding sensillum. To recognize the specific sensillum, we used its topology on the last antennal segment. Because termite antennae are not densely populated with sensilla, it is relatively easy to distinguish individual sensilla based on their topology on the antenna, both in optical microscope and SEM photographs. The modifications affect Fig. 4, its legend and the corresponding part of the results section (Identification of P. simplex olfactory sensillum responding to neocembrene).

      (5) 208: "Than" instead of "that"

      Corrected.

      (6) 280: I suggest replacing "demand" with "capabilities"

      Corrected.

      (7) 312: Why "nevertheless? It sounds as if the authors suggest that there is evidence that ORs are not important for communication. This should be reworded.

      We removed “Nevertheless” from the beginning of the sentence.

      (8) 321 to 323: This sentence sounds as if something is missing. I suggest rewriting it.

      This sentence simply says that empty neuron Drosophila is a good tool for termite OR deorphanization and that termite ORs work well Drosophila ORCo. We reworded the sentence.

      (9) 323: I suggest starting a new paragraph.

      Corrected.

      (10) 421: How many colonies were used for each of the analyses?

      The data for this manuscript were collected from three different colonies collected in Cuba. We now describe in the Materials and Methods section which analyses were conducted with each of the colonies.

      (11) 430: Did the termites originate from one or multiple colonies and did the authors sample from the Florida and Cuba population?

      The data for this manuscript were collected from three different colonies collected in Cuba. We now describe in the Materials and Methods section which analyses were conducted with each of the colonies.

      (12) 501: How was the termite antenna fixated? The authors refer to the Drosophila methods, but given the large antennal differences between these species, more specific information would be helpful.

      Understood. We added the following information into the Methods section under “Electrophysiology”: “The grounding electrode was carefully inserted into the clypeus and the antenna was fixed on a microscope slide using a glass electrode. To avoid the antennal movement, the microscope slide was covered with double-sided tape and the three distal antennal segments were attached to the slide.”

      (13)509: I want to confirm that the authors indicate that the outlet of the glass tube with the airstream and odorant is 4 cm away from the Drosophila or termite antenna. The distance seems to be very large.

      Thank you for spotting this obvious mistake. The 4 cm distance applies for the distance between the opening for Pasteur pipette insertion into the delivery tube, the outlet itself is situated approx. 1 cm from the antenna. This information is now corrected.

      (14) 510/527: It looks like all odor panels were equally applied onto the filter paper despite the difference in solvent (hexane and paraffin oil). How was the solvent difference addressed?

      In our study we combine two types of odorant panels. First, we test on all four studied receptors a panel containing several compounds relevant for termite chemical communication including the C12 unsaturated alcohols, the diterpene neocembrene, the sesquiterpene (3R,6E)-nerolidol and other compounds. These compounds are stored in the laboratory as hexane solutions to prevent the oxidation/polymerization and it is not advisable to transfer them to another solvent. In the second step we used three additional panels of frequently occurring insect semiochemicals, which are stored as paraffin oil solutions, so as to address the breadth of PsimOR14 tuning. We are aware that the evaporation dynamics differ between the two solvents but we did not have any suitable option how to solve this problem. We believe that the use of the two solvents does not compromise the general message on the receptor specificity. For each panel, the corresponding solvent is used as a control. Similarly, the use of two different solvents for SSR can be encountered in other studies, e.g. 10.1016/j.celrep.2015.07.031.

      (15) 518: delta spikes/sec works for all tables except for the wild type in Table S5. I could not figure out how the authors get to delta spikes/sec in that table.

      Thank you for your sharp eye. Due to our mistake, the values of Δ spikes per second reported in Table S5 for W1118 were erroneously calculated using the formula for 0.5 sec stimulation instead of 1 sec. We corrected this mistake which does not impact the results interpretation in Table S5 and Fig. 2.

      522: Did the workers and soldiers originate from different colonies or different populations?

      We now clearly describe in the Material and Methods section the origin of termites for different experiments. EAG measurements were made using individuals (workers, soldiers) from one Cuban colony.

      (16) Figure 6C/D: I suggest matching colors between the two figures. For example, instead of using an orange circle in C and a green coloration of the intracellular flap in D, I recommend using blue, which is not used for something else. In addition, the binding pocket could be separated better from anything else in a different color.

      We agree that the color match for the intracellular flap was missing. This figure is now reworked and the colors should have a better match and the binding region is better delineated.

      (17) Figure 7/Table S15: It is unclear where the transcriptome data originate and what they are based on. Are these antennal transcriptomes or head transcriptomes? Do these data come from previous data sets or data generated in this study? Figure 7 refers to heads, Table S15 to workers and soldiers, and the methods only refer to antennal extractions. This should be clarified in the text, the figure, and the table.

      We admit that the replicate numbers and origin of the RNA seq data should be better specified and that the information that the RNASeq originated from samples of heads+antennae of workers and soldiers should be provided at appropriate places. Therefore, we added more information on replicates and origin of the data in the Methods section (Bioinformatics) and make clear that this data comes from our previous research and refer to the corresponding bioproject. Likewise, the Figure 7 legend and Table S15 heading have been updated.

    1. Compte rendu détaillé : La justice face aux violences sexuelles, entre tradition punitive et voie restaurative

      • Ce compte rendu explore les principaux thèmes et idées abordés lors de l'émission "Les matins de France Culture" avec Antoine Garapon, magistrat honoraire et président de la commission reconnaissance et réparation, et Aude Douinge, chargée de plaidoyer et de communication de l'association "Face à l'Inceste".

      La discussion se focalise sur les limites de la justice punitive traditionnelle face aux crimes de violences sexuelles, en particulier l'inceste, et propose des alternatives telles que la justice restaurative et des évolutions législatives.

      1. La nature et l'ampleur des crimes sexuels, en particulier l'inceste

      • Les intervenants soulignent l'ampleur effrayante des violences sexuelles, notamment sur les enfants.

      Antoine Garapon mentionne le chiffre de "160 000 enfants subissent des violences sexuelles chaque année" en France, une statistique qu'il met en perspective avec les 1600 homicides annuels, soulignant que les violences sexuelles sont "10 000 fois plus" fréquentes.

      Ces crimes sont caractérisés par :

      • L'identité de l'agresseur : Majoritairement des hommes, souvent majeurs. Les pères (27%), les frères (19%) et les oncles (13%) sont fréquemment cités comme agresseurs.

      • Leur nature "fondatrice" et paradoxale : Antoine Garapon les décrit comme des crimes "réputés les plus graves, les plus fondateurs", mais paradoxalement "les moins condamnés, étaient même les moins dénoncés".

      L'exemple des crimes sexuels commis par des prêtres est particulièrement mis en avant, car une institution qui doit annoncer le salut "sème la mort", ce qui est une contradiction totale.

      • L'inimaginable et le "système du silence" : Pendant longtemps, ces crimes étaient considérés comme "au-delà du périmètre de ce qu'on était prêt à croire".

      Un "système du silence" prévalait, souvent lié à un "conflit de loyauté", où la loyauté envers l'institution (comme l'Église) ou la famille était "supérieure à au crédit porté à un enfant".

      L'affaire de l'Abbé Pierre est citée comme un exemple criant où "tout le monde savait" mais les autorités n'ont pas agi, abordant le crime uniquement par rapport à la loi morale, "pas un mot pour les victimes".

      • La notion de "pharmakos" : La victime, appartenant au vocabulaire sacrificiel, était perçue comme "l'objet du sacrifice".

      La thèse audacieuse de Dorothée Dussy, partagée par Garapon, suggère que les enfants victimes étaient en quelque sorte "le prix de l'ordre familial, de l'ordre ecclésial", participant par leur silence à l'ordre social général.

      2. L'évolution de la "conscience commune" et le rôle du mouvement #MeToo

      La perception de ces crimes a radicalement évolué. Reprenant la définition de Durkheim, qui définit le crime comme "ce qui choque la conscience commune", Antoine Garapon affirme qu'aujourd'hui, "ces crimes sont considérés comme étant les plus choquants dans la conscience générale. Peut-être même plus que les homicides".

      • Cette évolution est attribuée à une période de "rêve d'une société postsacrificielle" et, de manière significative, au mouvement " #MeToo" qui a marqué "un grand tournant" en montrant une évolution de la sensibilité.

      La société ne supporte plus que des dominés (enfants, femmes) soient l'objet de violences impunies, d'autant plus que le viol est quasi équivalent au crime en termes de répression pénale.

      3. Les limites de la justice pénale traditionnelle et les souffrances des victimes

      La justice pénale traditionnelle, bien qu'essentielle, montre ses limites :

      • Centrée sur le coupable et l'ordre public : Elle est "très centrée sur le coupable, sur l'ordre public", plutôt que sur la victime.
      • La "thérapie judiciaire" : L'expression "c'est de la thérapie judiciaire" était utilisée par certains magistrats pour déprécier l'intérêt porté aux victimes, sous-entendant que le rôle du juge n'était pas de s'occuper du rétablissement des personnes.

      Cependant, Antoine Garapon soutient que "s'intéresser au rétablissement des personnes à commencer par celui de la victime, c'est de la justice".

      • Difficulté d'accès à la plainte et amnésie traumatique : Les victimes souffrent d'un "empêchement d'être" et d'une "impossibilité même d'accéder à la plainte, même d'accéder à son propre souvenir".

      L'"amnésie traumatique" peut durer des années, empêchant même la conscience des faits.

      • Le fardeau de la preuve : Il est "très difficile de savoir ce qui s'est passé dans un collège, dans un dortoir d'un collège, dans un confessionnal, dans une famille il y a 30 ou 40 ans".

      Les aveux de l'auteur restent souvent la preuve maîtresse.

      • Impact dévastateur sur les victimes : Une agression sexuelle peut "détruire" une victime, et savoir que son agresseur est "couvert de gloire", "un saint homme", révolte encore plus.
      • La reproduction des violences : Les auteurs de violences incestueuses ou sexuelles ont souvent eux-mêmes été abusés (au minimum la moitié des cas), créant un "engrenage" et un "climat incestuel" dans certaines familles.
      • Santé mentale et espérance de vie : Aude Douinge souligne que l'inceste est "profondément traumatisant" et se cumule en moyenne avec "trois ou quatre autres traumatismes dans l'enfance".

      Plus le nombre de traumatismes est élevé, plus les conséquences à l'âge adulte sont graves.

      Une personne ayant subi deux traumatismes majeurs dans l'enfance a "20 ans d'espérance de vie de moins que la population générale".

      Plus de la moitié des victimes d'inceste font ou ont fait une tentative de suicide.

      4. La justice restaurative : une alternative centrée sur la victime

      Antoine Garapon promeut la justice restaurative comme une "alternative" ou un complément à la justice pénale :

      • Centrée sur la victime : Son but est de "rétablir, de réhabiliter la victime" et de lui "restituer sa parole, lui restituer une parole propre et pas une parole toujours déléguée ou substituée comme dans le procès ordinaire".
      • Nomination et reconnaissance : Elle vise à ce qu'il y ait une "nomination, c'est-à-dire qu'on nomme les choses. Oui, c'était une reconnaissance. Oui, c'est bien. Le premier des besoins des victimes, c'est que la société reconnaisse". Il s'agit d'une "validation sociale de ce qui s'est passé".
      • Objectif de "restituer à une victime l'énergie de vivre" : La justice restaurative est "beaucoup plus dynamique" et vise à libérer la victime de la solitude paralysante.
      • Importance de la parole : Elle ne se caractérise pas par la "mise en suspicion systématique de la parole" de la victime, contrairement au processus pénal.
      • Non-obligatoire : Aude Douinge insiste sur le fait que la justice restaurative "ne peut être obligatoire", car "on ne peut obliger les victimes au pardon".

      5. Les évolutions législatives et les défis de la prescription

      Les intervenants abordent les débats actuels autour de la prescription des crimes sexuels :

      • L'imprescriptibilité : L'association "Face à l'Inceste" milite pour l'"imprescriptibilité pour les crimes d'inceste et la protection immédiate des enfants". Actuellement, le délai de prescription est de 30 ans après les 18 ans de la victime, soit jusqu'à 48 ans.
      • Distinction pénal/civil : Le gouvernement réfléchit à une imprescriptibilité pour la justice civile, permettant des réparations financières, mais à charge pour la victime d'apporter des preuves. Les intervenants estiment que cela ne "prend pas le problème de face" en raison des difficultés de preuve et du risque d'aggraver la souffrance de la victime par un non-lieu.
      • La procédure pénale est fondamentale : Aude Douinge souligne que la "réponse pénale reste extrêmement importante et elle doit pouvoir être offerte aux victimes puisqu'il faut rappeler que la prescription, c'est aussi le droit à l'oubli pour l'agresseur".

      Elle ajoute que "le sentiment d'intranquillité qui habite la victime lui est à vie" et qu'il devrait "venir hanter l'agresseur".

      • Départ de la prescription à la "consolidation" : Une solution juridique proposée serait de faire partir le délai de prescription de la date de "consolidation", c'est-à-dire le moment où le traumatisme est estimé ne plus évoluer, plutôt que de la date des faits. Cependant, la blessure psychique est fluctuante.
      • L'abus de bien social comme exemple : L'exemple de l'abus de bien social, imprescriptible à partir de la découverte du délit, est donné comme modèle pour les crimes sexuels.

      6. Le rôle des associations et les besoins des victimes

      L'association "Face à l'Inceste", créée il y a 25 ans par une victime, Isabelle Aubry, joue un rôle crucial :

      • Visibilisation de l'inceste : Leurs sondages ont révélé que "trois enfants par classe ont subi l'inceste" et que cela touche "un Français sur 10, 7,4 millions de Français".
      • Combats législatifs : Ils ont milité pour la réintégration du crime d'inceste au code pénal en 2016 et la notion de "solidarité".
      • Besoins des victimes : Au-delà de la réponse pénale, les victimes réclament "un soutien psychologique et un soutien indéniablement financier". La prise en charge psychologique est souvent peu soutenue et l'arrêt des thérapies est souvent dû à des raisons financières. Un formulaire pour le remboursement à 100% des soins pour les victimes d'inceste par la sécurité sociale existe mais est "trop peu connu".
      • Reconnaissance et réparation : Les victimes ont besoin d'abord et avant tout de "cette reconnaissance et que la société légitime ce qu'elles ont vécu et viennent leur dire oui, ce qui vous est arrivé et a existé et on va le reconnaître".

      7. Vers une "autre justice" et la "politisation de l'intime"

      Antoine Garapon plaide pour une "autre justice", plus "accomplie", qui intègre différentes facettes :

      • Réarticulation des justices : Il appelle à une "réarticulation entre la justice civile, la justice restaurative et la justice pénale".
      • "Politisation de l'intime" : Le défi est de savoir "comment les pouvoirs publics vont pouvoir s'emparer de relations intimes intelligemment pour mettre fin à cette ce très très grand nombre, ce trop grand nombre de violences sexuelles".
      • Respect des désirs de la victime : Il est crucial de "respecter les désirs de la victime", qu'il s'agisse d'une demande de punition, d'une demande protectrice pour se dégager et vivre dans l'anonymat.
      • Les droits de l'auteur : Tout en se concentrant sur la victime, il est rappelé que "l'auteur aussi a des droits" et bénéficie de la présomption d'innocence.

      En conclusion, la discussion met en lumière la nécessité d'une approche plus globale et empathique face aux violences sexuelles, qui ne se limite pas à la seule punition de l'agresseur mais qui inclut une reconnaissance profonde de la souffrance des victimes, un soutien adapté, et des mécanismes de réparation qui favorisent leur reconstruction et leur capacité à vivre.

    1. Synthèse : Le Consentement au Cœur du Débat en France

      • Ce document explore la notion de consentement, en soulignant son émergence comme un concept central dans le débat public français, notamment sous l'impulsion de mouvements féministes et de procès emblématiques.

      Il met en lumière la complexité de cette notion, les défis liés à sa compréhension et son application, ainsi que les efforts déployés pour l'intégrer pleinement dans la loi et les mentalités.

      1. Le Consentement : Une Notion Émergente et Centralisée

      • Le mouvement féministe et des affaires judiciaires retentissantes ont placé le consentement au premier plan des préoccupations sociétales.

      Le procès des viols de Mazan, avec la condamnation de Dominique Pélico pour avoir drogué et violé sa femme pendant dix ans, a été un catalyseur majeur.

      Une des personnes interrogées souligne la simplicité apparente mais la profondeur de la notion :

      "Quand une fille dit non, j'ai l'impression quand même que souvent ça sous-entend que c'est c'est non. Non.

      D'accord. Ah ouais. Ah faut bien c'est pas si simple. Faut bien choper le truc hein. Oui ou non ? Deux petits mots de trois lettres. Mais qui change absolument tout."

      Cette prise de conscience a conduit à des appels à inscrire le consentement dans la loi, exigeant que les agresseurs présumés prouvent avoir obtenu un accord explicite avant tout acte sexuel.

      Le slogan "Jamais sans mon consentement" est devenu un cri de ralliement dans les cortèges féministes.

      2. La Compréhension du Consentement : Défis et Manques

      • Malgré son importance croissante, la compréhension du consentement reste un défi, en particulier chez les jeunes.

      Pauline, victime de viol à 14 ans par son premier petit ami, témoigne de la difficulté à identifier le viol et à en parler, d'autant plus en l'absence d'éducation sexuelle adéquate : "Je savais pas ce que c'était les rapports.

      Donc pour moi c'était un peu la norme entre guillemets... je savais pas trop comment en parler et après j'ai mis du temps avant de d'accepter aussi le terme viol parce que c'est un mot quand même très fort."

      Elle évoque aussi l'influence de la pornographie, qui "ne parle pas du tout" du consentement à cet âge.

      Les témoignages révèlent que le "non" n'est pas toujours respecté, et que la peur peut paralyser les victimes, comme Elodie qui a été agressée sexuellement à 17 ans : "J'étais tellement peur que c'est comme si j'étais paralysée. J'arrivais pas à crier. J'étais vraiment tétanisée."

      3. L'Éducation et la Prévention : Des Outils Essentiels

      Face à ces lacunes, des interventions en milieu scolaire se multiplient. Une gendarme intervient dans un collège pour expliquer le consentement aux élèves de 3ème.

      Elle définit l'agression sexuelle comme "le fait de toucher les parties intimes sans consentement, sans son autorisation."

      Elle insiste sur la clarté du "oui" ou du "non", verbal ou par des gestes, et surtout, sur le fait qu'en l'absence de réponse, il faut considérer que c'est un "non".

      L'importance de parler "sans cacher les mots" est soulignée par la gendarme, car "on a beau dire non du plus plus fort qu'on peut, si l'autre en face n'entend pas, il fera quand même ce qu'il a envie de faire qui est illégal."

      Ces interventions sont jugées cruciales, car la discussion sur le consentement est "très peu abordée aussi bien par les parents à la maison qui peuvent être embarrassés... et même les établissements scolaires sont parfois dépourvus de moyens."

      4. La Réalité des Violences Sexuelles : Souvent le Fait de Proches

      Un point crucial est la démystification de l'image de l'agresseur. Contrairement à l'imaginaire collectif, un violeur n'est pas toujours un inconnu armé : "Dans 90 % des cas, l'agresseur connaît sa victime.

      Dans la moitié des cas, c'est son partenaire ou un ex amoureux." De plus, les femmes sont majoritairement les victimes, avec 91% des auteurs de violences sexuelles étant des hommes.

      5. La Complexité Juridique et la Subjectivité du Consentement

      • Les affaires de viol sont souvent complexes, mêlant souffrances et ressentiments. L'avocat Robin Binsard souligne que la "question de la preuve est toujours au centre des débats" et que la "vérité est parfois plurielle".

      Un accusé, qui nie les viols dont il est accusé malgré la condamnation à 7 ans de prison, exprime cette ambiguïté : "La notion de consentement est pour moi acquise...

      À aucun moment, ell m'ont elles m'ont dit non clairement." Il ajoute avoir dit à une victime "C'est comme un viol, ce n'en est pas un," illustrant la "limite très fine" de la compréhension.

      • La magistrate Genola Jolicose récuse la notion de "parole contre parole", affirmant que le rôle de la cour est de "contextualiser, de comprendre que ça n'est pas simplement une situation qui nous est décrite mais en réalité un système.

      Tout ça est adossé à la culture du viol, au patriarcat, à la domination des femmes et c'est ça qui change tout."

      6. L'Inscription Légale du Consentement : L'Exemple International

      Le débat sur l'inscription du consentement dans la loi française s'inspire de législations étrangères :

      • Suède (2018) : Nécessité d'un consentement verbal ou physique.
      • Espagne (2022) : Un rapport sexuel sans consentement explicite est un viol ("solo sí es sí").
      • Canada : Premier pays à définir le consentement pénalement comme donné "librement et avec enthousiasme, continu, précis, requis pour chaque activité et éclairé". Éléonore Noël, chercheuse en sciences sociales au Canada, explique que cela change tout car l'enjeu principal n'est plus la violence ou la contrainte, mais l'absence de consentement.

      7. Changer l'Imaginaire Collectif pour une Culture du Consentement

      • Pour lutter contre la "culture du viol" et promouvoir une "culture de consentement", il est essentiel de "développer un imaginaire positif autour du consentement".

      Les films et les médias sont critiqués pour leurs représentations stéréotypées où l'insistance masculine est glorifiée et le "non" féminin est souvent interprété comme un "oui" latent.

      Des initiatives, comme l'association Sex et Consentement, proposent des supports (cartes postales, préservatifs) avec des messages explicites pour normaliser la demande de consentement.

      Les jeunes interrogés y voient un moyen de "nous forcer à réfléchir et à demander à l'autre aussi si elle est d'accord oui ou non."

      En conclusion, l'émission souligne une transformation profonde des mentalités et du cadre légal autour du consentement en France, tirant des leçons des expériences individuelles et des législations internationales pour mieux protéger les victimes et éduquer les nouvelles générations.

    1. Reviewer #1 (Public review):

      Summary:

      In this study, Bonnifet et al. profile the presence of L1 ORF1p in the mouse and human brain and report that ORF1p is expressed in the human and mouse brain specifically in neurons at steady state and that there is an age-dependent increase in expression. This is a timely report as two recent papers have extensively documented the presence of full-length L1 transcripts in the mouse and human brain (PMID: 38773348 & PMID: 37910626). Thus, the finding that L1 ORF1p is consistently expressed in the brain is important to document and will be of value to the field.

      Strengths:

      Several parts of this manuscript appear to be well done and include the necessary controls. In particular, the documentation of neuron-specific expression of ORF1p in the mouse brain is an interesting finding with nice documentation. This will be very useful information for the field.

      Weaknesses:

      Several parts of the manuscript appear to be more preliminary and need further experiments to validate their claims. In particular, the data suggesting expression of L1 ORF1p in the human brain and the data suggesting increased expression in the aged brain need further validation. Detailed comments:

      (1) The expression of ORF1p in the human brain shown in Fig. 1j is puzzling. Why are there two strong bands in the WB? How can the authors be sure that this signal represents ORF1p expression and not non-specific labelling? While the authors discuss that others have found double bands when examining human ORF1p, there are also several labs that report only one band. This discrepancy in the field should at least be discussed and the uncertainties with their findings should be acknowledged.

      (2) The data showing a reduction in ORF1p expression in the aged mouse brain is an interesting observation, but the effect magnitude of effect is very limited and somewhat difficult to interpret. This finding should be supported by orthogonal methods to strengthen this conclusion. For example, by WB and by RNA-seq (to verify that the increase in protein is due to an increase in transcription).

      (3) The transcriptomic data using human postmortem tissue presented in Figure 4 and Figure 5 are not convincing. Quantification of transposon expression on short read sequencing has important limitations. Longer reads and complementary approaches are needed to study the expression of evolutionarily young L1s (see PMID: 38773348 & PMID: 37910626 for examples of the current state of the art). As presented, the human RNA data is inconclusive due to the short read length and small sample size. The value of including an inconclusive analysis in the manuscript is difficult to understand. With this data set, the authors cannot investigate age-related changes in L1 expression in human neurons.

      (4) In line with these comments, the title should be changed to better reflect the findings in the manuscript. A title that does not mention "L1 increase with aging" would be better.

    1. Compte-rendu détaillé : Éducation Populaire et Liens avec l'École

      Source : Extraits de "France culture être et savoir Tuerie dans un lycée de Nantes L'éducation populaire, quelles relations avec l'école 11192-28.04.2025-ITEMA_24116950-2025C14993S0118-NET_MFC_1282E914-3484-4849-8E09-1FE806076BE5-21.mp3"

      Introduction : Un événement tragique comme point de départ et la nécessité de l'éducation populaire

      L'émission s'ouvre sur le rappel d'une attaque au couteau survenue le 24 avril dans un lycée privé de Nantes, Notre Dame de toutes aide, où un élève de seconde a poignardé quatre camarades, causant la mort d'une lycéenne.

      L'agresseur, Justin P., 16 ans, était inconnu des services de police et ses camarades le décrivent comme "un jeune homme perturbé".

      Suite à cet événement, la sociologue Nathalie Paton, spécialiste des school shootings aux États-Unis, intervient pour commenter les réactions politiques, notamment la proposition du Premier ministre d'installer des portiques de sécurité.

      Elle juge cette mesure "démesurée et presque légèrement délirante" dans le contexte français, soulignant que les school shootings sont un phénomène isolé en France, contrairement aux États-Unis où ils sont quotidiens et où de telles mesures n'ont pas prouvé leur efficacité, pouvant même générer un sentiment d'insécurité.

      L'analyse des motivations de l'agresseur tend vers une "belle psychose" et un "délire", comme en témoigne un manifeste mêlant des références disparates (Hitler, Écoid).

      Nathalie Paton souligne l'importance d'une approche psychiatrique pour comprendre cet acte, soulignant que le jeune homme était "clairement très mal, très délirant" et que son acte a été un "passage à l'acte" débordant d'une "grande angoisse".

      Thème central : Le sous-financement de la pédopsychiatrie et de la médecine scolaire

      Le cas de Nantes met en lumière les graves lacunes de la prise en charge de la santé mentale des jeunes en France. Nathalie Paton insiste sur l'état "extrêmement préoccupant" de la pédopsychiatrie française et le "délaiement" de la médecine scolaire.

      Elle s'interroge sur l'absence de repérage et de prise en charge préalable de l'agresseur : "Qu'est-ce qui fait que il n'avait pas été pris en charge avant ?

      Ça ça paraît difficile de penser que ça allait déborder pour la première fois ce jour-là."

      Elle dénonce le manque de psychologues scolaires et le fait que la psychiatrie soit considérée comme une "médecine pauvre" par les politiques publiques, manquant cruellement de "politiques et d'investissements".

      Cette première partie de l'émission sert de tremplin pour aborder le rôle crucial de l'éducation populaire dans la construction du lien social et la prévention, en complément de l'école.

      L'Éducation Populaire : Histoire, Valeurs et Fonctions L'émission explore ensuite en détail le monde de l'éducation populaire, souvent invisible mais pourtant essentiel pour deux tiers des enfants et adolescents français (périscolaire, centres de loisirs, colonies de vacances, activités sportives et artistiques).

      1. Fondements et mission historique : Former le citoyen éclairé

      • Hélène Lacassagne, présidente de la Ligue de l'enseignement (créée en 1866 par Jean Macé), souligne la vocation profondément politique et républicaine de l'éducation populaire : "Les fondements même sont des fondements tout à fait républicains.

      Il s'agit de faire en sorte que le vote populaire soit pas ne soit pas détourné parce que parce que ce vote populaire ne serait pas éclairé."

      L'objectif est de "favoriser la création d'une école d'une école publique laïque" et de "former les citoyens pour que la démocratie s'exerce vraiment dans la République."

      La Ligue agit "un mouvement complémentaire de l'école publique et elle agit y compris au sein de l'école publique."

      2. Une éducation "au côté ou à côté de l'école" : Complémentarité et différences

      L'éducation populaire se positionne en complément de l'école, mais avec des approches différentes. Wahid Ben Hamed, directeur du centre de formation des CEMÉA Île-de-France, insiste sur la nature des métiers de l'éducation populaire : "C'est des métiers du lien social.

      C'est des métiers de la cohésion sociale." Il met en avant la dimension collective de l'apprentissage : "On apprend ensemble on apprend lorsqu'on se met autour d'objets communs."

      Distinction fondamentale : L'absence de jugement et de compétition

      Une différence majeure avec l'école est l'absence de jugement et d'évaluation. Laurent Bess, maître de conférence en histoire contemporaine, explique que "les animateurs par principe refusent de juger que ce soit les pratiques ou les réalisations des enfants alors que bah l'enseignant, il dit ce qui est vrai, ce qui est faux, ce qui est juste, ce qui est bon."

      Cette approche favorise une "volonté de conserver la cohérence du groupe" en "abolissant ce jugement qui crée effectivement des différences entre les enfants."

      Wahid Ben Hamed renchérit en affirmant : "C'est pas un concours, c'est jamais c'est ce qui différencie par exemple de la profession d'enseignant."

      Pour lui, l'enjeu est de "réinterroger les représentations du groupe" pour "favoriser l'émancipation".

      Il cite l'exemple du sport où l'on peut "imaginer autre chose" que le simple fait de gagner ou de perdre.

      3. L'évolution de l'éducation populaire : Des cours du soir aux loisirs émancipateurs

      Laurent Bess retrace l'histoire de l'éducation populaire, situant son "âge d'or" entre l'entre-deux-guerres et les années 1970.

      Si au 19ème siècle, elle était davantage centrée sur des modèles scolaires (cours du soir), elle se transforme dans l'entre-deux-guerres autour de la "démocratisation des loisirs", visant à permettre aux enfants des milieux populaires d'accéder à de nouvelles pratiques (artistiques, sportives, plein air).

      Des instituteurs ont d'abord encadré ces activités via les "œuvres laïques", avant d'être progressivement remplacés par des professionnels, les "animateurs socioculturels".

      Aujourd'hui, l'accent est mis sur "l'aspect non scolaire de l'éducation populaire sur la reconnaissance des individus l'accent mis sur des relations qui se veulent horizontales des pratiques qui se veulent ludiques qui visent à former toujours."

      Bien que l'ambition de former le citoyen demeure, le contenu politique est "moins mise en avant".

      4. Le rôle crucial du "vivre ensemble" et de la "transformation sociale"

      Patricia Ménard, directrice du périscolaire pour l'école du Four au sein de la Fondation Léo Lagrange (fondée en 1936), insiste sur les valeurs de son institution : "le vivre ensemble, la découverte et l'épanouissement de l'enfant et la mixité culturelle."

      Elle définit le "vivre ensemble" comme "partager, c'est être ensemble, essayer de comprendre les autres, c'est vivre ensemble en tant que citoyen aussi sur un dans le loisir au sein de l'école, d'avoir les mêmes règles de l'école et du loisir, c'est être un enfant parmi toute une collectivité et être à plusieurs pour être bien en fait."

      • Mohamed Magassa, coordinateur au centre de ressources documentaires des CEMÉA Île-de-France et président de l'association Reconnectus, met en avant l'importance de "rendre acteurs" les jeunes, de les "accompagner sur ces actions" pour qu'ils "s'approprient l'émancipation".

      Il souligne que l'éducation populaire vise la "transformation sociale", en "essayant d'ouvrir une porte et de s'approprier en fait ce qu'on lui propose."

      Défis et Perspectives de l'Éducation Populaire

      1. La précarité des financements et ses conséquences

      La question du financement est jugée "cruciale" par Hélène Lacassagne. Mohamed Magassa explique que son association dépend "systématiquement" de "subventions" et "d'appels à projet".

      Hélène Lacassagne déplore que les appels à projet et les marchés publics se soient "substitués à la subvention", ce qui pose un "une vraie difficulté parce que le diagnostic n'est plus porté par l'association."

      Elle regrette que cela mette en danger la "capacité d'innovation" des associations, autrefois moteurs de dispositifs comme les bibliobus.

      • Elle critique également le fait que le système actuel "met en concurrence les associations là où naturellement quand on travaille sur un territoire... le travail de l'éducation populaire, c'est de mettre en réseau, c'est de construire du projet sur un diagnostic partagé avec d'autres associations, d'autres acteurs."

      Ce modèle, qui exige du temps, est menacé par des politiques publiques qui ne "rencontrent pas les personnes pour lesquelles elle a été inventée", car le "dernier kilomètre, c'est le premier" pour les acteurs de terrain.

      2. Le défi de l'attractivité des métiers et de l'innovation pédagogique

      Les métiers de l'éducation populaire sont "pas très bien payés".

      La motivation des professionnels comme Cyriel, une animatrice Léo Lagrange qui a créé l'atelier "raconte-toi", réside dans le sens de leur travail : "Je n'ai pas l'impression d'aller au travail.

      En fait tous les jours, on a une situation différente et moi je trouve que c'est une chance de pouvoir leur transmettre des valeurs et les écouter."

      Wahid Ben Hamed insiste sur "l'innovation pédagogique" au sein des centres de formation des CEMÉA, qui accueillent de nombreux jeunes ayant "une méfiance et une réticence au fait d'apprendre" suite à un "échec" ressenti vis-à-vis de l'Éducation Nationale.

      L'approche des CEMÉA est non-verticale : "on part du principe que les gens qui sont ici et les apprenants ont des choses à nous apprendre nous à formateur en tant que formateur. Ils ont des des choses à apprendre au groupe qui est là."

      L'exemple de la "Newton Room" au collège Jean-Mermoz d'Angers, un atelier scientifique scandinave, illustre cette volonté d'innover pour rendre les mathématiques "concrètes" et offrir des outils de qualité.

      Ce type de partenariat vise à valoriser l'école publique et à lui donner une "étiquette" pour "exister sur des des établissements qui ont pignon sur rue" (privés).

      3. Accueillir tous les publics et déconstruire les sujets sensibles

      • L'éducation populaire s'adresse à l'ensemble de la population, y compris les "milieux populaires" qui ressentent un fort "sentiment de relégation".

      Hélène Lacassagne souligne la nécessité d'une approche qui ne soit pas seulement "prestataire" mais qui permette de "recréer une relation, de remettre les de faire vraiment éducation populaire, c'est-à-dire de mettre les personnes en situation, de porter l'action, d'être non pas dans une relation de de consommation d'une action, mais d'être associé au diagnostic, au faire et à l'évaluation de la chose de façon à ce que les personnes se sentent reconnu en égale dignité avec les autres citoyennes, les autres citoyens."

      Mohamed Magassa explique comment son association Reconnectus aborde les "questions vives" avec les jeunes.

      Ces derniers "ramènent en fait les sujets qu'ils avaient entendu à l'école pour les déconstruire avec nous", abordant par exemple la discrimination avant la laïcité.

      Leur propre expérience de la discrimination leur permet de mieux accompagner les jeunes : "le sujet de la laïcité s'impose à travers la discrimination."

      Conclusion

      • L'émission met en lumière la fragilité de la pédopsychiatrie et de la médecine scolaire en France, des lacunes qui peuvent avoir des conséquences dramatiques comme le cas de Nantes.

      Face à cela, l'éducation populaire apparaît comme un pilier essentiel, bien que souvent sous-estimé et sous-financé.

      Son rôle complémentaire de l'école, axé sur le lien social, l'émancipation individuelle et collective, et l'absence de jugement, en fait un acteur clé pour répondre aux besoins des jeunes et des familles.

      Cependant, la pérennité et la capacité d'innovation de l'éducation populaire sont menacées par les modes de financement actuels, qui entravent la co-construction de projets adaptés aux réalités du terrain et au "premier kilomètre" des citoyens.

      Le plaidoyer des intervenants est clair : reconnaître et soutenir davantage ce secteur pour qu'il puisse continuer à former des citoyens éclairés et à renforcer le tissu social.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer 1:

      Comment 1: Indirect Estimates of White Matter Connections: While dMRI is a valuable tool, it inherently provides indirect and inferred information about neural pathways. The accuracy and specificity of tractography can be influenced by various factors, including fiber crossing, partial volume effects, and algorithmic assumptions. A potential limitation in the accuracy of indirect estimates might affect the precision of spatial extent measurements, introducing uncertainty in the interpretation of cortico-thalamic connectivity patterns. Addressing the methodological limitations associated with indirect estimates and considering complementary approaches could strengthen the overall robustness of the findings.

      We appreciate the reviewer’s comment and agree tractography is an indirect estimate and subject to limitations. Regarding this manuscript, the key question is not whether the anatomical tracts are without false positives or negatives, and in fact we argue that this question is outside the scope of this manuscript and has been addressed in several previous studies (e.g. Thomas et al. 2015, Schilling et al., 2020, Grisot et al. 2021, and many others). Instead, the key question for this manuscript is whether the focality of termination patterns within the thalamus is systematically biased in a way that the observation of a hierarchy effect is artifactual. The many supplementary analyses in this manuscript do help address this question and increase our confidence that the indirect nature of tractography does not systematically bias the EDpc1 measure such that association areas only appear to have more diffuse connectivity patterns relative to sensorimotor areas.

      Comment 2: An over-arching theme of my review is that, each time I found myself wondering about a detail, a null, or a reference, I had only to read the next sentence or paragraph to find my concern handled in a clear and concise fashion. This is, in my opinion, the mark of work of the highest order. I congratulate the authors on their excellent work, which I believe will be impactful and well-received.

      I have no notes that I feel can help improve what is already an impeccable piece of work.

      We thank the reviewer for the kind comment.

      Reviewer #2:

      Comment 1: Structural thalamocortical connectivity was estimated from diffusion imaging data obtained from the HCP dataset. Consequently, the robustness and accuracy of the results depend on the suitability of this data for such a purpose. Conducting tractography on the cortical-thalamic system is recognized as a challenging endeavor for several reasons. First, diffusion directions lose their clearly defined principal orientations once they reach the deep thalamic nuclei, rendering the tracking of structures on the medial side, such as the medial dorsal (MD) and pulvinar nuclei difficult. Somewhat concerning is those are regions that authors found to show diffuse connectivity patterns. Second, the thalamic radiata diverge into several directions, and routes to the lateral surface often lack the clarity necessary for successful tracking. It is unclear if all cortical regions have similar levels of accuracy, and some of the lateral associative regions might have less accurate tracking, making them appear to be more diffuse, biasing the results.

      As mentioned in the weakness section, it is crucial to address the need for better validation or the inclusion of control analyses to ensure that the results are not systematically biased due to known issues, such as the difficulty in tracking the medial thalamus and the potential for higher false positives when tracking the lateral frontal cortex.

      We thank that reviewer for bringing up an important point. To determine if some areas of the thalamus were more difficult to track and, in turn, biased the EDpc1 measure we added an additional supplemental figure (S31). In this figure, shown below, we calculate the total SC of all ipsilateral cortical areas to each thalamic voxel. We show that, indeed, medial thalamic voxels have a lower total streamline count to ipsilateral cortex, and we see reduced total streamline counts to lateral thalamic areas and the very posterior end of the thalamus. We determined if some cortical areas preferentially projected to parts of the thalamus with lower ipsilateral total SC (i.e. by calculating the overlap between SC and total cortical SC for each thalamic voxel) and found only a weak relationship with our measure. Furthermore, we regressed each voxel’s mean ipsilateral cortical SC from streamline count matrix. We found that the EDpc1 measure didn’t significantly change after the regression.

      Additionally, we note that this analysis assumes that all thalamic voxels should have equal strength of connectivity (i.e., total SC) to the ipsilateral cortex and that such a measure is a proxy for “accuracy.” While both of these assumptions may not be entirely valid, this figure does demonstrate that potential reductions in tracking from the medial thalamus does not significantly affect the EDpc1 measure.

      Comment 2: While the methodology employed by the authors appears to be state-of-the-art, there exists uncertainty regarding its appropriateness for validation, given the well-documented issues of false positives and false negatives in probabilistic diffusion tractography, as discussed by Thomas et al. 2014 PNAS. Although replicating the results in both humans and non-human primates strengthens the study, a more compelling validation approach would involve demonstrating the method's ability to accurately trace known tracts from established tracing studies or, even better, employing phantom track data. Many of the control analyses the authors presented, such as track density, do not speak to accuracy.

      In addition to or response to Reviewer 1 Comment 1, we would like to add the following:

      We agree with the reviewer that tractography methods have known limitations. We would also like to point out that several studies have already performed the studies suggested by the reviewer. Many studies have compared tracts reconstructed from diffusion data using tractography methods to tracer-derived connections (eg. Thomas et al., 2014, as mentioned by the reviewer; Donahue et al., 2016, J Neurosci; Dauguet et al., 2007 NeuroImage; Gao et al., 2013 PloS One; van den Heuvel et al., 2015, Hum Brain Map; Azadbakht et al., 2015 Cereb Cortex; Ambrosen et al., 2020 NeuroIamge). Notably, studies comparing tractography and tracer-derived white matter tracts in the same animal (e.g. Grisot et al., 2021; Gao et al., 2013 PloS One) have demonstrated that tractography errors may be inflated in studies comparing tractography and tracer-derived connections in different animals.

      Additionally, others have employed phantoms to assess the validity of tractography methods (e.g. Drobnjak et al., 2021). For the purposes of this manuscript, phantom data would not be an adequate control because phantom data would likely not capture the biological complexities of tracking subcortical white matter tracts and identifying projections within subcortical grey matter.

      While a comparison of our tractography-derived ED measure to ED calculated on terminations from tracer studies within the thalamus from several somatomotor and associative regions in macaques would provide additional confidence for our results, such a control is certainly outside the scope of this study. Additionally, such a study would not provide a ground truth comparison for the human data. Even if this hypothetical experiment was performed, a negative finding would not refute our results, as any differences could be attributed to evolutionary differences. Unfortunately, there exists no ground truth to compare human white matter connectivity patterns to, which is why we stress-tested our results in as many ways as possible. These stress tests revealed that our main findings are very robust.

      Specifically, as the key validity question of our study was whether there was a confound that systematically biased the ED measure as to make the hierarchy effect artifactual, the control analyses we performed to determine if track density, cortical geometry, bundle integrity, etc in fact do speak the robustness of the results. Regarding the track density analyses we argue that these control analyses do speaks to accuracy. The reviewer mentioned above that some cortical areas may be biased because their anatomical tracts may be more difficult to reconstruct using tractography. The mean streamline count is meant to reflect the density of a fiber bundle, but corticothalamic tracts that are more difficult to track will, by nature, have fewer streamline counts. So, the mean streamline not only reflects the density of a fiber bundle but also how easily that tract is to reconstruct. Therefore, if it was the case that cortical areas with more difficult to reconstruct white matter tracts to the thalamus are also more diffuse, then we should observe a strong positive correlation between the ED measure and the mean streamline count, which we tested directly and found only a weak correlation (Fig. S11). This is true for tracking to the entire thalamus, and the additional supplemental Figure S31 shows that reduced tracking to specific parts of the thalamus (e.g. the medial portion) also does not strongly relate to the ED measure. So, tracts that are more difficult to reconstruct may also be more diffuse, but this seems to add only a little noise and does not account for the strong relationship between the ED measure and T1w/T2w and RSFCpc1 measures the reflect the cortical hierarchy.

      Comment 3: If tracking the medial thalamus is indeed less accurate, characterized by higher false positives and false negatives, it could potentially lead to increased variability among individual subjects. In cases where results are averaged across subjects, as the authors have apparently done, this could inadvertently contribute to the emergence of the "diffuse" motif, as described in the context of the associative cortex. This presents a critical issue that requires a more thorough control analysis and validation process to ensure that the main results are not artifacts resulting from limitations in tractography.

      Additionally, conducting a control analysis to demonstrate that individual variability in tracking endpoints within the thalamus, when averaged across subjects, does not artificially generate a more diffuse connectivity pattern, is essential.

      We thank the reviewer for bringing up this point, and the reviewer is correct that a simple group average of streamline counts across that thalamus could make some thalamic patterns appear more diffuse if those patterns vary slightly in location across people. The simplest way to address this concern is to show that diffuse patterns are present in individual subjects. Fig. 2 panels B, C, H, and I are all subject-level figures, which show that we can replicate the group level findings in Fig. 2 panels F, G. Specifically, Fig 2. Panels H and I show that the effect of association areas exhibiting more diffuse connectivity patterns within the thalamus relative to sensorimotor areas is generalizable across subjects.

      To the reviewer’s point, the other way that averaged streamline counts could make focal connections seem diffuse is by averaging within cortical areas (e.g. to test the possibility that association areas may have highly variability focal patterns, and when averaged within the cortical area it makes these focal patterns appear more diffuse). To test this, we show that we can replicate the hierarchy effect at the vertex level, by calculating the extent of connectivity patterns for every cortical vertex and correlated vertex-level EDpc1 values to vertex-level T1w/T2w and RSFC_pc1 values (Fig S20).

      Hopefully the data shown in Fig. 2 (replication at the individual level) and Fig. S20 (replication at the vertex level) ameliorate the reviewer’s concerns that averaging highly variable focal connectivity patterns within the thalamus (either across people or across vertices) does not artifactually produce diffuse thalamic connectivity patterns for associative cortical areas.

      Comment 4: Because the authors included data from all thresholds, it seems likely that false positive tracks were included in the results. The methodology described seems to unavoidably include anatomically implausible pathways in the spatial extent analyses.

      The thresholding approach taken in the manuscript aimed to control for inter-areal differences in anatomical connection strength that could confound the ED estimates. Here I am not quite clear why inter-areal differences in anatomical connection strength have to be controlled. A global threshold applied on all thalamic voxels might kill some connections that are weak but do exist. Those weak pathways are less likely to survive at high thresholds. In the meantime, the mean ED is weighted, with more conservative thresholds having higher weights. That being said, isn't it possible that more robust pathways might contribute more to the mean ED than weaker pathways?

      This is a good point from the reviewer, and we appreciate them bringing up these points about our thresholding rationale. We would like to clarify two points: why it was appropriate for our question to threshold thalamic voxels for each cortical area separately and why we iteratively thresholded thalamic voxels.

      Regarding thalamic connectivity differences between cortical areas: a global threshold would indeed exclude weak, but potentially true, connections. This was part of our rationale for thresholding thalamic voxels for each cortical area separately. Too conservative of a global threshold would exclude all thalamic voxels for some cortical areas and too liberal of a threshold would include many potentially false positive connections for other cortical areas. Our method of thresholding each cortical area’s thalamic voxels separately ensured that we were sampling thalamic voxels in an equitable manner across cortical areas. We updated the text to clarify this:

      Methods section, pg. 11, section Framework to quantify the extent of thalamic connectivity patterns via Euclidean distance (ED)

      “We used Euclidean distance (ED) to quantify the extent of each cortical area's thalamic connectivity patters. Probabilistic tractography data require thresholding before the ED calculation. To avoid the selection of an arbitrary threshold (Sotiropoulos et al., 2019, Zhang et al., 2022), we calculated ED for a range of thresholds (Figure 1a). Our thresholding framework uses a tractography-derived connectivity matrix as input. We iteratively excluded voxels with lower streamline counts for each cortical parcel such that the same number of voxels was included at each threshold. At each threshold, ED was calculated between the top x\% of thalamic voxels with the highest streamline counts. This produced a matrix of ED values (360 cortical parcels by 100 thresholds). This matrix was used as input into a PCA to derive a single loading for each cortical parcel. While alternative thresholding approaches have been proposed, this framework optimizes the examination of spatial patterns by proportionally thresholding the data, enabling equitable sampling of each cortical parcel's streamline counts within the thalamus.

      This approach controlled for inter-areal differences in anatomical connection strength that could confound the ED estimates. In contrast, a global threshold, which is applied to all cortical areas, may exclude all thalamic streamline counts for some cortical areas that are more difficult to reconstruct, thus making it impossible to calculate ED for that cortical area, as there are no surviving thalamic voxels from which to calculate ED. This would be especially problematic for white matter tracts are more difficult to reconstruct (e.g. the auditory radiation), and cortical areas connected to the thalamus by those white matter tracts would have a disproportionate number of thalamic voxels excluded when using a global threshold.”

      Regarding thalamic connectivity differences across the thalamus for a given cortical area, the thresholding method we use does include anatomically implausible connections in the ED calculation because we sample voxels iteratively, and as more and more thalamic voxels are included in the ED analysis the likelihood that they reflect spurious connections increases. This approach made the most sense to us, because there is no way to identify a threshold that only includes true positive connections. And since this method does not exist, we sampled all thresholds and leveraged the behavior of the ED metric across thresholds to quantify the spread of a connectivity pattern. As the reviewer points out, since the measure is effectively “weighted,” more “robust” or anatomically plausible pathways should contribute more to the EDpc1 rather than weaker pathways. This is exactly the balanced approach we aimed for: a measure that is driven by connections that have the highest likelihood of being a true positive but does not rely on an arbitrary threshold.

      We did also replicate our main findings after thresholding and binarizing the data for separate thresholds, which show that our main effect was strongest only when thalamic voxels with the highest streamline counts (which are assumed to have a lower chance of being false positives) are included in the ED calculation (Fig. S5). This more traditional method of thresholding also supported our results, and increases our overall confidence that associative cortical areas have more diffuse connectivity patterns within the thalamus relative to somatomotor areas.

      Comment 5: In the introduction, there is a bit of ambiguity that needs clarification. The overall goal of the study appears to be the examination of anatomical connectivity from the cortex to the thalamus, specifically whether a cortical region projects to a single thalamic subregion or multiple thalamic subregions. However, certain parts of the introduction also suggest an exploration of the concept of thalamic integration, which typically means a single thalamic region integrating input from multiple cortical regions (converging input). These two patterns, many cortical regions to one thalamic region versus one cortical region to many different thalamic regions, represent distinct and fundamentally different concepts that should be clarified in the manuscript.

      We thank the reviewer for pointing out this ambiguity and have edited the introduction to clarify this point:

      Our argument for a potential mechanism for integration is the following: because corticothalamic connectivity is topographically organized, if a cortical area has a more diffuse anatomical projection across the thalamus that means its connections overlap with more cortical areas. To the reviewer’s point, our argument is simply that one cortical area targeting multiple thalamic nuclei inherently suggests that such a cortical area has overlapping connectivity patterns with many other cortical areas in the same thalamic subregion. We have updated the introduction to clarify this further.

      Intro, pg 1.

      “Studies of cortical-thalamic connectivity date back to the early 19th century, yet we still lack a comprehensive understanding of how these connections are organized (see 13 and 14 for review). The traditional view of the thalamus is based on its histologically-defined nuclear structure (6). This view was originally supported by evidence that cortical areas project to individual thalamic nuclei, suggesting that the thalamus primarily relays information (15). However, several studies have demonstrated that cortical connectivity within the thalamus is topographically organized and follows a smooth gradient across the thalamus (16–21). Additionally, some cortical areas exhibit extensive connections within the thalamus, which target multiple thalamic nuclei (22? ). These extensive connections may enable information integration within the thalamus through overlapping termination patterns from different cortical areas, a key mechanism for higher-order associative thalamic computations (23– 25). However, our knowledge of how thalamic connectivity patterns vary across cortical areas, especially in humans, remains incomplete. Characterizing cortical variation in thalamic connectivity patterns may offer insights into the functional roles of distinct cortico-thalamic loops (6, 7).”

      Discussion, pg 9. Section: The spatial properties of thalamic connectivity pat- terns provide insight into the role of the thalamus in shaping brain-wide information flow.

      “In this study, we demonstrate that association cortical areas exhibit diffuse anatomical connections within the thalamus. This may enable these cortical areas to integrate information from distributed areas across the cortex, a critical mechanism supporting higher-order neural computations. Specifically, because thalamocortical connectivity is organized topographically, a cortical area that projects to a larger set of thalamic subregions has the potential to communicate with many other cortical areas. We observed that anterior cingulate cortical areas had some of the most diffuse thalamic connections. This observation aligns with findings from Phillips et al. that area 24 exhibited the most diffuse anatomical terminations across the mediodorsal nucleus of the thalamus relative to other prefrontal cortical area…”

      Reviewer 3:

      Comment 1: Potential weaknesses of the study are that it seems to largely integrate aspects of the thalamus that have been already described before. The differentiation between sensory and association systems across thalamic subregions is something that has been described before (see: Oldham and Ball, 2023; Zheng et al., 2023; Yang et al., 2020 Mueller, 2020; Behrens, 2003).

      It is true that previous studies have shown that corticothalamic systems vary between sensory and associative cortical areas. Furthermore, there is much evidence that indicates that the sensory-association hierarchy is a major principle of brain organization in general. However, how and why these circuits are different is still not fully known, both across the whole brain and in corticothalamic circuits specifically.

      Our study is the first to compare patterns of anatomical connectivity within the thalamus and determine if cortical areas vary in the extent of those patterns. So our main finding isn't that sensory and association cortical areas show differences in thalamic connectivity, it is that they specifically show differences in their pattern of connectivity within the thalamus. This provides a unique insight into how sensory and associative systems differ in their thalamic connectivity in primates.

      Additionally, we show evidence that provides some insight into why these differences may exist. Although we cannot provide causal evidence, our data suggest that differences in patterns of anatomical connectivity within the thalamus were related to how different cortical areas process information via the thalamus, which aligns with speculations from Phillips et al 2021.

      So our main finding isn't that sensory and association cortical areas show differences in thalamic connectivity, is it that they specifically show differences in their pattern of connectivity within the thalamus and these differences may help us understand how these cortical areas process information and, in turn, how they may support different types of computations, both of which are major goals in neuroscience. To better clarify this in the manuscript, we made the following changes:

      Discussion, Paragraph 1, pg 8:

      “This study contributes to the rich body of literature investigating the organization of cortico-thalamic systems in human and non-human primates. Prior research has shown that features of thalamocortical connectivity differ between sensory and association systems, and our work advances this understanding by demonstrating that these systems also differ in the pattern and spatial extent of their anatomical connections within the thalamus. Using dMRI-derived tractography across species, we show that these connectivity patterns vary systematically along the cortical hierarchy in both humans and macaques. These findings are critical for establishing the anatomical architecture of how information flows within distinct cortico-thalamic systems. Specifically, we identify reproducible tractography motifs that correspond to sensorimotor and association circuits, which were consistent across individuals and generalize across species. Collectively, this study offers convergent evidence that the spatial pattern of anatomical connections within the thalamus differs between sensory and association cortical areas, which may support distinct computations across cortico-thalamic systems.”

      Comment 2: (1) Why not formally test the association between humans and macaques by bringing the brains to the same space?

      We thank the reviewer for this query. We were primarily interested in using the macaque data as a validation of the human data, because it was acquired at a much higher resolution, there are no motion confounds, and it provides a bridge with the tract tracing literature in macaques. We are currently studying interspecies differences in patterns of thalamic connectivity, as well as extensions of our approach into structure-function coupling, and we believe these topics warrant their own paper.

      Comment 3: (2) Possibly flesh out the differences between this study and other studies with related approaches a bit further.

      We updated the discussion section to better clarify the differences in this study from previous research. See response to Reviewer 3 Comment 1 for text changes.

      Comment 4: (3) The current title entails 'cortical hierarchy' but would 'differentiation between sensory and association regions' not be more correct? Or at least a reflection on how cortical hierarchy can be perceived?

      We treat these phrases as synonymous terms. Our definition of cortical hierarchy is a smooth transition in features between sensory and motor areas to higher-order associative areas. The use of cortical hierarchy is meant to reflect that our measure continuously varies across the cortex. We updated the manuscript to make this clearer:

      Abstract, pg 1.

      “Additionally, we leveraged resting-state functional MRI, cortical myelin, and human neural gene expression data to test if the extent of anatomical connections within the thalamus varied along the cortical hierarchy, from sensory and motor to multimodal associative cortical areas.”

      Comment 5: (4) For the core-matrix map, there is a marked left-right differences and also there are only two donors in the right hemisphere, possibly note this as a limitation?

      We thank the reviewer for this observation. We updated Fig. S28 Panel D to show that the correspondence between EDpc1 and the Core-Matrix (CPc) cortical maps holds when the correlation was done for left and right cortex, separately.

    1. Document d'information détaillé sur les études de genre :

      Ce document d'information examine les principales thématiques et les idées ou faits les plus importants concernant les études de genre, en s'appuyant sur les extraits de l'émission "France Culture Questions du soir : le débat Études de genre : pourquoi tant de polémiques".

      1. La nature controversée des études de genre :

      • Division de l'opinion : Les études de genre suscitent des réactions diverses.

      Certains les perçoivent comme une "remise en cause des repères", tandis que d'autres les considèrent comme un "outil utile pour penser les inégalités". * Controverses politiques et médiatiques : Aux États-Unis, des recherches ont été "freinées voire arrêtées sous l'administration Trump".

      En France, des "polémiques régulières alimentent la méfiance, même dans les sphères ministérielles".

      Le collectif "La Manif pour tous" s'oppose à l'intrusion du "gender à l'école", affirmant que cela "favoriserait l'indifférenciation entre les sexes et la théorie du genre", et que l'idéologie du genre à l'école "signifie propager l'idée aux enfants qu'ils peuvent changer d'identité sexuelle".

      • Menace perçue sur les repères anthropologiques : Pour les opposants, les études de genre menacent les "repères viscéraux auxquels nous sommes attachés en terme d'anthropologie, c'est-à-dire qu'est-ce que l'homme, qu'est-ce que la femme, de quoi a besoin un enfant".

      2. Qu'est-ce que les études de genre ?

      • Un champ d'étude multidisciplinaire : Éric Fassin, sociologue, décrit les études de genre comme un "champ d'étude" mobilisant "des disciplines différentes qui sont mobilisées.

      Ça va des sciences sociales, à la philosophie, mais aussi à la biologie ou à toutes sortes de disciplines."

      • Pluralité des théories : Il n'existe pas une "théorie du genre" monolithique, mais "des théories qui peuvent s'opposer". Sylviane Agacinski, philosophe, confirme qu'il s'agit d'une "caricature", d'une "simplification" de parler d'une idéologie monolithique, car "il y a plusieurs théories, c'est-à-dire il y a aussi plusieurs usages du mot genre."

      • Un concept central : le "genre" comme "sexe social" : Le concept de genre a été "approprié par le féminisme à partir des années 70" et s'est transformé. Il signifiait initialement le "sexe social", comme l'a utilisé Ann Oakley.

      Cette notion est cruciale pour comprendre que "quand on parle des femmes, on parle toujours à mon avis simultanément des femmes telles qu'elles sont dans telle ou telle société, dans telle ou telle culture.

      C'est-à-dire que en tant que sexe [...] elles sont toujours socialisées, de même que le masculin est toujours socialisé."

      • Origine dans les mouvements sociaux : Ce champ d'étude est né de "mouvements sociaux et en particulier du féminisme mais aussi des mouvements sociaux liés aux minorités sexuelles en général." Cela souligne le lien entre "le savoir et la politique".

      3. Le débat sur la biologie et le sexe :

      • Critique du "biologisme" : Le reproche courant est que les études de genre nieraient l'importance de la biologie. Cependant, Éric Fassin explique que ce qui est critiqué n'est pas la biologie en tant que fait, mais le "biologisme", c'est-à-dire "l'idée que nous serions tout entier posé par cette définition."

      • La perspective d'Anne Fausto-Sterling : Cette biologiste féministe utilise le concept de genre pour "déconstruire l'idée même de notre rapport à la biologie".

      Elle remet en question la dualité homme/femme, soulignant une "variété bien plus grande que le simple sexe mâle et femelle" et la possibilité de penser le sexe à "différents niveaux : chromosomal, hormonal, formation des organes génitaux, gonades, et développement humain".

      Elle propose que la discipline biologique propose "des manières d'organiser le réel" mais que cela "ne veut pas dire que c'est le réel".

      • Catégorisation et hiérarchie : Éric Fassin insiste sur le fait que "catégoriser, c'est-à-dire organiser le monde selon des catégories, c'est pas simplement décrire de manière neutre, c'est toujours déjà organiser des hiérarchies."

      • Le point de vue de Sylviane Agacinski sur la reproduction et le sexe : Agacinski rejette l'approche de Fausto-Sterling comme un "biologisme réductionnisme". Pour elle, "la définition du sexe se donne par la fécondité, par la reproduction".

      Elle considère que la distinction mâle/femelle est "universelle" et que les personnes intersexes, bien qu'humaines, sont des "exceptions" qui "confirment la règle".

      • Le sexe comme fait politique et d'état civil : Éric Fassin soutient que le sexe n'est pas "juste une donnée biologique, c'est un fait politique", citant la possibilité de "changer de sexe selon certaines conditions qui sont variables selon les pays et selon les époques".

      Il utilise l'exemple de Donald Trump qui veut "restaurer le sexe biologique", montrant que "c'est un fantasme la biologie" dans ce cas.

      La controverse sur "l'homme enceinte" découle de l'abandon de la stérilisation pour le changement de sexe, montrant que "c'est l'État, c'est la politique qui détermine le sexe." Sylviane Agacinski conteste l'idée que l'on puisse "changer de sexe" facilement, affirmant que les réalités physiologiques persistent.

      4. Les études de genre face à l'individualisme et aux normes sociales :

      • Critique de l'individualisme : Éric Marty suggère que les études de genre, avec leur aspiration à la "gender fluidité" et au "genderless", pourraient être en "parfaite harmonie avec le discours néolibéral" et le masque d'un "ordre social" ou une "idéologie".
      • Réponse des études de genre : Éric Fassin rejette cette critique comme un "contresens". Le féminisme et les études de genre ne visent pas à la disparition des normes, mais à questionner le fait que "ces normes, elles sont historiques et politiques, autrement dit, elles sont susceptibles de changer".
      • Renégociation des normes : Pour Fassin, il ne s'agit pas d'une "disparition des normes" mais d'une "renégociation des normes, les repenser, imaginer d'autres normes".

      Les violences sexuelles en sont un exemple, où il y a eu "une prise de conscience que il y a des normes démocratiques, c'est-à-dire de respecter la liberté, c'est-à-dire la capacité de consentir et l'égalité".

      • Asymétrie des sexes et violence : Sylviane Agacinski insiste sur l'asymétrie de force physique entre hommes et femmes, qui explique selon elle pourquoi les femmes "souffrent de violence sexuelle".

      5. Pourquoi les études de genre cristallisent-elles tant de polémiques ?

      • Touche à l'intimité et aux peurs : Éric Fassin explique que la controverse vient du fait que "ça touche à notre intimité et mobiliser l'intimité, les peurs sur l'intimité et sur les changements de l'ordre amoureux, de l'ordre sexuel et bien c'est politiquement efficace".

      • Un langage politique pour les rapports de pouvoir : Il souligne une deuxième partie de la définition des études de genre, telle que donnée par Joan Scott : "une manière de signifier les rapports de pouvoir".

      Cela signifie que le genre "ne parle pas seulement des hommes et des femmes", mais aussi d'"immigration, de laïcité, d'islam, d'identité nationale, etc."

      C'est un "langage politique pour mobiliser des troupes" et jouer sur des "questions raciales, sur des questions économiques". * Instrumentalisation politique : Sylviane Agacinski reconnaît une "instrumentalisation" et une "utilisation politique". Elle évoque des "violences activistes" qui peuvent se mêler à la "réflexion et la théorie", ce qu'elle déplore.

      • Lien entre féminisme et politique : Éric Fassin insiste sur le caractère "politique" de toutes ces questions, soulignant que "les féministes ne parlent pas d'une seule voix" et s'affrontent parce que ce sont des "enjeux démocratiques".

      Il alerte sur le fait que des leaders comme Trump, Milei, Orban et Poutine "défendent l'idée que l'ordre sexuel et bien ça ne doit pas bouger", ce qui a des "effets sur des gens bien réels et pas simplement sur des minorités sexuelles mais aussi sur des femmes."

      • En résumé, les études de genre sont un champ académique diversifié qui questionne les constructions sociales et politiques des catégories de sexe et de genre.

      Elles sont l'objet de vifs débats, souvent politisés, concernant la nature du sexe, la relativité des normes sociales et leur rôle dans la compréhension et la contestation des rapports de pouvoir.

    1. Note de synthèse : Les différences cognitives entre les sexes

      Source : Extraits de la conférence "Les différences cognitives entre les sexes : lesquelles ? pourquoi ? comment ?" animée par Franck Ramus.

      Cette conférence aborde la question complexe des différences cognitives entre les sexes, en s'appuyant sur des données scientifiques pour démystifier les idées reçues et explorer les diverses causes possibles (biologiques, environnementales, sociales).

      Thèmes principaux et idées clés :

      1. Existence de différences cognitives moyennes et leur nature :

      • Il existe des différences cognitives moyennes entre les sexes en langage, mathématiques, mémoire et attention.
      • Ces différences sont souvent commentées, exagérées ou niées, mais la science cherche à comprendre leur origine et leur ampleur.
      • Citation : "oui il existe des différences cognitives moyennes entre les sexes en langage en mathématiques en mémoire en attention mais ces différences sont-elles biologiques ?

      quel rôle a joué notre évolution dans cette différenciation ? sont-elles construites par l'éducation ? sont-elles universelles ou liées à une époque et une culture et un environnement ?

      et surtout que peut-on vraiment prouver aujourd'hui quand on interroge la réalité de ces écarts ?"

      2. Le cas des performances en mathématiques chez les filles et les garçons :

      • Les rapports officiels (ADEP, inspection générale) montrent que les filles sont minoritaires dans les options scientifiques au lycée et dans les filières scientifiques de l'enseignement supérieur, une situation stable depuis 20 ans après une progression.

      • Des évaluations nationales récentes ont révélé que les garçons sont en moyenne plus performants en mathématiques dès le milieu du CP.

      • Cet écart est spécifique aux mathématiques, car globalement, les filles ont de meilleurs résultats scolaires dans d'autres matières (français, langues, etc.).

      • Ce phénomène n'est pas franco-français et s'observe dans la plupart des pays de l'OCDE (évaluations PISA), à quelques exceptions près comme la Finlande où il n'y a pas de différence ou elle est inversée.

      • Citation : "dès le dès le milieu du CP il se passe quelque chose au cours du CP qui fait que tout d'un coup les filles commencent à perdre du terrain sur les garçons dans l'apprentissage des mathématiques et c'est assez spécifique aux mathématiques parce que finalement c'est dans un contexte où globalement les filles ont des meilleurs résultats scolaires que les garçons".

      3. Analyse des causes potentielles des différences : un modèle multifactoriel :

      • Le rapport de l'inspection générale écarte l'origine biologique des différences en mathématiques, privilégiant les causes psychologiques et sociologiques, notamment la menace du stéréotype.

      Franck Ramus propose un modèle causal hypothétique incluant :

      • Facteurs internes à l'individu : préférences, motivations, capacités cognitives.
      • Facteurs environnementaux : influences familiales et sociales (socialisation de genre, stéréotypes, modèles).
      • Facteurs biologiques précoces : génome (chromosomes sexuels), hormones sexuelles (testostérone).
      • Facteurs contextuels : peuvent biaiser la mesure des performances (ex: menace du stéréotype, compétitivité).

      4. Analyse critique des facteurs sociaux :

      • Menace du stéréotype :Des expériences (ex: tâche de Rey-Osterrieth présentée comme test de dessin vs. géométrie) montrent que le fales it de mentionner les mathématiques peut faire baisser la performance des filles.
      • Cependant, les méta-analyses et études à grande échelle récentes remettent en question sa réplicabilité et suggèrent que son effet est très faible (taille d'effet proche de 0,07 après correction des biais de publication).
      • Son rôle dans les situations d'évaluation réelles n'est pas clairement établi.
      • Socialisation de genre (activités genrées et organisation genrée de la famille) :Une étude sur la cohorte ELF (4000 enfants suivis de la naissance au CP) n'a trouvé aucun effet des "activités genrées" (choix de jeux, etc.) sur les performances en mathématiques.
      • En revanche, l'organisation genrée de la famille (répartition stéréotypique des tâches parentales) a un petit effet sur les performances en mathématiques des filles au CP (explique environ 7% de la différence garçons-filles).

      Les filles issues de familles plus stéréotypiques ont de moins bons scores.

      • Influence des enseignants :Les caractéristiques des enseignants (sexe, formation) peuvent moduler les performances des filles. Un écart plus important est observé chez les filles ayant un instituteur à formation scientifique.
      • Des études montrent que plus les enseignants ont des stéréotypes de genre (explicites ou implicites), plus les scores des filles en maths diminuent, sans effet sur les garçons.
      • Contexte de l'évaluation (compétitivité, pression temporelle) :Les filles ont tendance à moins bien performer dans les contextes d'évaluation compétitifs ou chronométrés.
      • Les garçons préfèrent davantage les tâches compétitives que les filles.
      • Cependant, ce n'est pas spécifique aux mathématiques et ne semble pas entièrement expliquer les écarts observés dans les évaluations nationales.

      5. La perspective évolutionnaire et les différences à travers les espèces :

      • Il existe de nombreuses différences entre les sexes observables dans toutes les espèces, souvent liées à la reproduction.
      • La reproduction sexuée anisogame (gamètes de tailles différentes) entraîne des stratégies reproductives différentes :
      • Investissement parental : plus important pour les femelles (grossesse, allaitement).
      • Potentiel reproductif : plus élevé chez les mâles (un homme peut potentiellement avoir beaucoup plus de descendants qu'une femme).
      • Compétition intrasexuelle : plus forte chez les mâles, menant à la sélection de traits (taille, force, agressivité).
      • Dimorphisme sexuel : différences de forme/taille (ex: mâles plus grands pour la lutte).
      • Ces prédictions de la théorie de l'évolution sont vérifiées chez l'humain (critères de choix du partenaire, agressivité, violence).
      • Citation : "Toutes ces prédictions de la théorie de l'évolution elles sont vérifiées non seulement dans plein d'espèces mais aussi chez l'être humain et chez la plupart des mammifères donc de ce point de vue on n'a pas l'air exceptionnel du tout".
      • L'hypothèse d'une origine 100% socioconstructiviste des différences humaines est jugée "peu plausible" car elle impliquerait une annulation de l'héritage évolutif et une émergence "par hasard" de différences qui correspondent exactement aux prédictions évolutionnaires.

      6. Lien entre la cognition, l'évolution et les mathématiques :

      • Les mathématiques ne sont pas une capacité cognitive primaire sélectionnée, mais un objet culturel complexe.

      • Capacités visuo-spatiales (rotation mentale 3D) : Les hommes sont en moyenne meilleurs.

      Des études chez les bébés (3-16 mois) et des "expériences de la nature" (filles avec hyperplasie congénitale des surrénales) suggèrent une origine biologique précoce, potentiellement liée à la testostérone prénatale/postnatale.

      • Citation : "c'est un indice possible que pour une capacité cognitive bien spécifique il pourrait y avoir un avantage au garçon qui soit observé dès la naissance et que peut-être il est là parce que il a été sélectionné".

      • Cependant, le lien entre ces capacités spécifiques et la performance globale en mathématiques est complexe et non linéaire, car les mathématiques sollicitent de nombreuses fonctions cognitives (mémoire, raisonnement, etc.) où les avantages sont répartis entre les sexes.

      • Les tests de compétences mathématiques précoces chez les bébés (dès 6 mois) ne montrent pas de différences entre garçons et filles.

      7. Différences de préférences et de variabilité :

      • Préférences :Les hommes ont un intérêt plus fort pour les objets et les systèmes matériels ("systématisation").
      • Les femmes ont un intérêt plus fort pour les personnes et les relations sociales ("empathisation").
      • Ces préférences sont observées dès le plus jeune âge (choix de jouets) avec des tailles d'effet très importantes.
      • Des indices suggèrent un rôle des facteurs biologiques précoces (filles avec hyperplasie, nouveau-nés).
      • Ces préférences peuvent entraîner un engagement différent dans les activités et, à terme, des différences de compétences.
      • Variabilité :Les garçons/hommes présentent une plus grande variabilité dans leurs scores en mathématiques et dans la plupart des traits cognitifs et cérébraux.
      • Citation : "toutes les barres qui sont au-dessus de la ligne zéro ici et ben elles disent que les garçons ont des scores de math plus variables que les filles".
      • Cette plus grande variabilité masculine est expliquée par la plus grande variabilité reproductive des mâles (potentiel de descendants extrêmes), ce qui favorise la sélection de phénotypes extrêmes (très bons ou très mauvais).

      • Conséquence : Même avec une moyenne égale, une plus grande variabilité masculine signifie qu'il y aura plus d'hommes aux extrêmes (à la fois les meilleurs et les moins bons), ce qui impacte les filières sélectives (ingénierie, sciences).

      Conclusion générale :

      • Les différences entre les sexes sont variées en ampleur et en niveaux de preuve.
      • Les différences liées à la reproduction et au comportement social sont importantes et bien étayées par des preuves biologiques précoces.
      • Les différences dans des capacités cognitives spécifiques sont plus petites et leurs preuves d'origine biologique précoce sont plus faibles (ex: rotation mentale 3D).
      • Il n'y a pas de différence significative d'intelligence générale entre les sexes.

      Concernant les différences en mathématiques :

      • Les différences cognitives innées spécifiques aux mathématiques ne sont pas clairement prouvées.
      • Les différences de préférence semblent être un facteur explicatif plus robuste, car elles sont précoces et peuvent influencer l'engagement et le développement des compétences.
      • La socialisation de genre (notamment l'organisation genrée de la famille et les stéréotypes des enseignants) a un effet causal prouvé, bien que modeste.
      • La menace du stéréotype a un effet très faible et sa réalité est débattue.
      • La plus grande variabilité masculine peut expliquer la surreprésentation des garçons aux extrêmes (donc dans les filières d'excellence) même si la moyenne est similaire.

      En somme, l'explication des différences en mathématiques est multifactorielle, impliquant des interactions complexes entre facteurs biologiques, environnementaux et sociaux, sans qu'aucune cause unique ne puisse tout expliquer.

      La focalisation sur les mathématiques est justifiée par leur lien avec les carrières rémunératrices, mais une attention similaire devrait être portée aux difficultés des garçons en français/langage.

    1. Synthèse des Thèmes et Idées Principales : La Grande Solitude des Adolescents et le Manque de Liens Sociaux

      L'émission "France culture être et savoir" aborde la problématique croissante de la solitude chez les adolescents, un phénomène qui dépasse même les questions de santé mentale, et ses conséquences sur la violence et le bien-être général des jeunes.

      Les intervenantes, Louia Bris (coordinatrice jeunesse), Laurence Touroude (spécialiste des sciences de l'éducation), Sophie Vénétitay (secrétaire générale du SNES FSU) et Marie-Rose Morau (pédopsychiatre), explorent les causes de cette solitude et les pistes pour recréer du lien social.

      1. La Solitude Existentielle et Banale des Adolescents

      Le thème central de l'émission est la "solitude immense et banale de nos enfants" (Introduction de l'émission).

      Marie-Rose Morau souligne que les adolescents d'aujourd'hui se sentent "isolé", ce qui est "la chose la plus grave et la plus importante qui arrive à nos adolescents aujourd'hui".

      Cette solitude est si prégnante que même une jeune stagiaire de seconde, Agathe, témoigne de classes où "on est tous restés inconnus les uns des autres", où "on se parlait pas tant que ça" et où elle ne connaissait pas "les prénoms des gens de ma classe".

      Ce manque de lien est perçu comme une "solitude existentielle" par les adolescents eux-mêmes, qui, une fois hospitalisés, apprécient les échanges mais craignent que "quand je vais sortir, ma solitude va recommencer."

      2. Le Manque de Liens Sociaux et la Difficulté à "Vivre Ensemble"

      Plusieurs facteurs sont identifiés comme contribuant à ce manque de lien social :

      • L'individualisation de la réussite scolaire et les réformes éducatives : Marie-Rose Morau critique la "stratégie même à l'intérieur des classes avec des options, avec des" spécialités qui, bien que liées à la "réforme du bac", encouragent les élèves à "réussir individuellement".

      Cela conduit à une méfiance entre eux car "ils se connaissent pas bien qui justement qui a pas ces liens de générosité de et de fraternité". L'école, qui devrait être un lieu collectif, a selon elle "renoncé à être ce lieu collectif".

      • L'impact des écrans et des réseaux sociaux : Louia Bris observe que "de plus en plus, les parents vont plutôt nous dire en fait, il préfère rester à la maison, il préfère être devant ses écrans". Agathe, la stagiaire, l'explique directement : "Les jeunes passent de nos jours beaucoup plus de temps sur les réseaux sociaux qu'en personne avec les gens parce que bah ils peuvent communiquer, ils peuvent s'envoyer des messages, des vocaux comme si c'était la vie réelle." Ce comportement entraîne un repli sur soi où des élèves "s'enferment, ils ont leur casques, leur téléphone, ils parlent à personne".

      • La disparition des espaces collectifs : Les intervenantes soulignent le manque de lieux où les adolescents peuvent se rassembler et construire ensemble. Marie-Rose Morau déplore l'absence de "lieux où ces adolescents construisent finalement contre nous, j'allais dire contre la génération d'avant qui a encore le pouvoir, construisent ses propres valeurs". Sophie Vénétitay ajoute que "la démocratie lycéenne, la démocratie collégienne, ça fait partie de tous ces espaces qui aujourd'hui nous manquent pour créer du collectif et créer du vivre ensemble aujourd'hui." Elle cite également la disparition progressive des "clubs, les associations, la maison des lycéens".

      • L'incapacité à décoder les émotions et interagir : Louia Bris, travaillant en centre social, constate une "incapacité à des moments à créer du lien avec les autres" et une difficulté à comprendre "ce que l'autre ressent".

      Ce constat est partagé par les écoles, centres de loisirs et clubs de sport locaux, tous d'accord sur le fait que les jeunes "ne savent vraiment plus communiquer".

      3. Les Conséquences du Manque de Lien : Violence, Souffrance Psychologique et Isolement du Personnel

      Le manque de liens a des répercussions graves :

      • Augmentation de la violence : L'émission s'ouvre sur les récents faits divers violents impliquant des adolescents, soulignant une "violente sidérante" et un "manque d'empathie" chez certains jeunes. Marie-Rose Morau relie ces violences à la souffrance des adolescents : "certains vont réagir en se faisant du mal à eux-mêmes, d'autres vont réagir en faisant du mal aux autres."
      • Souffrance psychologique et diagnostics précoces sans prise en charge : Marie-Rose Morau met en garde contre les politiques de "repérage ultra précoce" des fragilités, affirmant que "on peut pas prévenir [les passages à l'acte] sauf par des actions de société". Elle dénonce un système où des "diagnostics très précoces" sont faits (par exemple de troubles du neurodéveloppement), mais où les interventions sont retardées de "1 an, 2 ans, 3 ans" ou inexistantes, les familles étant "laissé à elle-même".
      • Fragilité du cadre institutionnel et isolement des adultes : Laurence Touroude met en lumière les dysfonctionnements du cadre institutionnel scolaire, notamment le "manque de circulation de l'information", l'"inconsistance du cadre" (règles fluctuantes), et le manque de soutien de la hiérarchie envers les Assistants d'Éducation (AED). Sophie Vénétitay souligne que les professionnels de l'éducation sont "par définition, par nature, par essence isolé et seul", gérant des situations complexes sans formation adéquate et sans le temps nécessaire pour un travail collectif.

      4. Pistes et Solutions : Recréer du Lien et du Collectif Malgré la gravité de la situation, des solutions sont esquissées :

      • Priorité à la construction de liens et de communautés : Marie-Rose Morau insiste sur la nécessité d'"aider ces adolescents tous à être en relation, à se sentir membre d'une communauté ici, la communauté scolaire mais aussi aussi autour de l'école et dans la famille".
      • Renforcer le rôle des professionnels de l'éducation et les soutenir : Les AED sont un personnel "hyper important" qui "peut avoir un lien très différent avec les élèves" car ils sont des "adultes auxquels on peut parler". Il est crucial qu'ils soient "soutenus" et non "discrédité" par leur hiérarchie, et qu'ils bénéficient de formations sur "l'accompagnement et sur le lien".
      • Accorder du temps et des espaces pour le collectif : Sophie Vénétitay déplore le manque de "temps et des espaces où on pourrait se retrouver pour faire du collectif". Agathe suggère des "temps d'échange", des "lieux d'échange" comme "une salle avec des canapés où tu peux te regrouper entre jeunes, parler et on n'est pas forcément sur nos téléphones".
      • Développer l'éducation populaire et l'autonomie : Les centres sociaux, comme celui de Louia Bris, offrent un "accompagnement global" en créant un cadre "un tout petit peu plus souple" et en incitant les jeunes à l'autonomie, par exemple en les accompagnant à des sorties culturelles pour leur donner "les codes de juste le truc de se dire 'On y va, on voit qu'on peut ça prend 20 minutes en transport, que du coup c'est accessible, que finalement personne ne demande rien au musée.'" Ces lieux démontrent qu'il est possible de "créer des liens" et que "nos lieux fonctionnent". Louia Bris évoque le succès de son centre qui a accueilli "160 jeunes de toute la France", prouvant que "on peut le faire et que les centres sociaux ont trouvé peut-être un bout de réponse qui pourrait être dupliqué dans d'autres structures."
      • Remettre en question la compétition et l'individualisme : Le dialogue doit s'élargir pour interroger "comment est-ce qu'on fait société dans l'école et en dehors ?" La compétition scolaire, la valorisation de l'individuel au détriment du collectif, et même l'idée que "le collectif était dangereux" pendant le Covid, sont des freins à la création de lien.

      En conclusion, l'émission met en lumière une crise profonde du lien social chez les jeunes, exacerbée par les évolutions sociétales et éducatives.

      Face à cette "angoisse de cette solitude" (Laurence Touroude), il est impératif de repenser collectivement les cadres et les espaces qui permettent la construction du "vivre ensemble" et le partage de la parole.

    1. Reviewer #3 (Public review):

      Summary:

      This manuscript by Toth et al reveals a conserved phosphorylation site within the RIN4 (RPM1-interacting protein 4) R protein that is exclusive to two of the four nodulating clades, Fabales and Rosales. The authors present persuasive genetic and biochemical evidence that phosphorylation at the serine residue 143 of GmRIN4b, located within a 15-aa conserved motif with a core five amino acids 'GRDSP' region, by SymRK, is essential for optimal nodulation in soybean. The experimental design and results are robust, the manuscript's discussion has been satisfactorily updated. Results described here are important to understand how the symbiosis signaling pathway prioritizes associations with beneficial rhizobia, while repressing immunity-related signals.

      Strengths:

      The manuscript asks an important question in plant-microbe interaction studies with interesting findings.

      Overall, the experiments are detailed, thorough and very well-designed. The findings appear to be robust.

      The authors provide results that are not overinterpreted and are instead measured and logical.

      Weaknesses:

      No major weaknesses.

    2. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public Review):

      The authors set out to illuminate how legumes promote symbiosis with beneficial nitrogen-fixing bacteria while maintaining a general defensive posture towards the plethora of potentially pathogenic bacteria in their environment. Intriguingly, a protein involved in plant defence signalling, RIN4, is implicated as a type of 'gatekeeper' for symbiosis, connecting symbiosis signalling with defence signalling. Although questions remain about how exactly RIN4 enables symbiosis, the work opens an important door to new discoveries in this area.

      Strengths:

      The study uses a multidisciplinary, state-of-the-art approach to implicate RIN4 in soybean nodulation and symbiosis development. The results support the authors' conclusions.

      Weaknesses:

      No serious weaknesses, although the manuscript could be improved slightly from technical and communication standpoints.

      Reviewer #2 (Public Review):

      Summary:

      The study by Toth et al. investigates the role of RIN4, a key immune regulator, in the symbiotic nitrogen fixation process between soybean and rhizobium. The authors found that SymRK can interact with and phosphorylate GmRIN4. This phosphorylation occurs within a 15 amino acid motif that is highly conserved in Nfixation clades. Genetic studies indicate that GmRIN4a/b play a role in root nodule symbiosis. Based on their data, the authors suggest that RIN4 may function as a key regulator connecting symbiotic and immune signaling pathways.

      Overall, the conclusions of this paper are well supported by the data, although there are a few areas that need clarification.

      Strengths:

      This study provides important insights by demonstrating that RIN4, a key immune regulator, is also required for symbiotic nitrogen fixation.

      The findings suggest that GmRIN4a/b could mediate appropriate responses during infection, whether it is by friendly or hostile organisms.

      Weaknesses:

      The study did not explore the immune response in the rin4 mutant. Therefore, it remains unknown how GmRIN4a/b distinguishes between friend and foe.

      Reviewer #3 (Public Review):

      Summary:

      This manuscript by Toth et al reveals a conserved phosphorylation site within the RIN4 (RPM1-interacting protein 4) R protein that is exclusive to two of the four nodulating clades, Fabales and Rosales. The authors present persuasive genetic and biochemical evidence that phosphorylation at the serine residue 143 of GmRIN4b, located within a 15-aa conserved motif with a core five amino acids 'GRDSP' region, by SymRK, is essential for optimal nodulation in soybean. While the experimental design and results are robust, the manuscript's discussion fails to clearly articulate the significance of these findings. Results described here are important to understand how the symbiosis signaling pathway prioritizes associations with beneficial rhizobia, while repressing immunity-related signals.

      Strengths:

      The manuscript asks an important question in plant-microbe interaction studies with interesting findings.

      Overall, the experiments are detailed, thorough, and very well-designed. The findings appear to be robust.

      The authors provide results that are not overinterpreted and are instead measured and logical.

      Weaknesses:

      No major weaknesses. However, a well-thought-out discussion integrating all the findings and interpreting them is lacking; in its current form, the discussion lacks 'boldness'. The primary question of the study - how plants differentiate between pathogens and symbionts - is not discussed in light of the findings. The concluding remark, "Taken together, our results indicate that successful development of the root nodule symbiosis requires cross-talk between NF-triggered symbiotic signaling and plant immune signaling mediated by RIN4," though accurate, fails to capture the novelty or significance of the findings, and left me wondering how this adds to what is already known. A clear conclusion, for eg, the phosphorylation of RIN4 isoforms by SYMRK at S143 modulates immune responses during symbiotic interactions with rhizobia, or similar, is needed.

      Recommendations for the authors:

      Reviewer #1 (Recommendations For The Authors):

      I have no major criticism of the work, although it could be improved by addressing the following minor points:

      (1) Page 8, Figure 2 legend. Consider changing "proper symbiosis formation" to "normal nodulation" or something that better reflects control of nodule development/number.

      We thank you for the suggestion, the legend was changed to “...required for normal nodule formation” (see Page 10, revised manuscript)

      (2) Page 9. Cut "newly" from the first sentence of paragraph 2, as S143 phosphorylation was identified previously.

      Thank you for the suggestion, we removed “newly” from the sentence.

      (3) Page 10, Figure 3. Panels B showing green-fluorescent nodules are unnecessary given the quantitative data presented in the accompanying panel A. This goes for similar supplemental figures later.

      We appreciate the comment; regarding Figure 3 (complementing rin4b mutant, we updated the figures according to the other reviewer’s comment) and Suppl Figure 6 (OE phenotype of phospho-mimic/negative mutants), we removed the panels showing the micrographs. At the same time, we did not modify Figure 2 (where micrographs showing transgenic roots carrying the silencing constructs) for the sake of figure completeness. (See Page 10, revised manuscript)

      (4) Consider swapping Figure 3 for Supplemental Figure S7, which I think shows more clearly the importance of RIN4 phosphorylation in nodulation.

      We appreciate the comment and have swapped the figures according to the reviewer’s suggestion. Legend, figure description, and manuscript text have been updated accordingly. (See page 12 and 38, revised manuscript)

      (5) Page 10. Replace "it will be referred to S143..." with "we refer to S143 instead of ....".

      We replaced it according to the comment.

      (6) Page 11, delete "While" from "While no interactions could be observed...".

      We deleted it according to the suggestion.

      (7) Page 33, Fig S5. How many biological replicates were performed to produce the data presented in panel C and what do the error bar and asterisk indicate? Check that this information is provided in all figures that show errors and statistical significance.

      Thank you for the remark. The experiment was repeated three times, and this note was added to the figure description. All the other figure legends with error bar(s) were checked whether replicates are indicated accordingly.

      (8) Page 37, Fig S11, panel B. Are averages of data from the 2 biological and 3 technical replicates shown? Add error bars and tests of significant difference.

      Averages of a total of 6 replicates (from 2 biological replicates, each run in triplicates) are shown. We thank the reviewer for pointing out the missing error bars and statistical test, we have updated the figure accordingly.

      (9) Fig S12. Why are panels A, C, E, and G presented? The other panels seem to show the same data more clearly- showing the linear relationship between peak area ratio and protein concentration.

      We have taken the reviewer’s comment into consideration and revised the figure, removing the calibration curves and showing only four panels. The figure legend has been corrected accordingly. (Please see page 43, revised masnuscript). The original figure (unlike other revised figures) had to be deleted from the revised manuscript,as it caused technical issues when converting the document into pdf.

      Reviewer #2 (Recommendations For The Authors):

      Some small suggestions:

      (1) It's good to include a protein schematic for RIN4 in Figure 1.

      We appreciate the reviewer’s suggestion and we have drawn a protein schematic and added it to Figure 1. The figure legend was updated accordingly.

      (2) There appears to be incorrect labeling in Figure 2c; please double-check and make the necessary corrections.

      With respect, we do not understand the comment about incorrect labeling. Would the reviewer please help us out and give more explanation? In Figure 2C, RIN4a and RIN4b expression was checked in transgenic roots expressing either EV (empty vector) or different silencing constructs targeting RIN4a/b.

      Reviewer #3 (Recommendations For The Authors):

      I enjoyed the level of detail and precision in experimental design.

      A discussion point could be - What does it mean that nodule number but not fixation is affected? Is RIN4 only involved in the entry stage of infection but not in nodules during N-fixation?

      Current/Our data suggest that RIN4 does indeed appear to be involved in infection. This hypothesis is supported by the findings that RIN4a/b was found phosphorylated in root hairs but not in root (or it was not detected in the root). The interaction with the early signaling RLKs also suggests that RIN4 is likely involved in the early stage of symbiosis formation.

      How would the authors explain their observation "However, the motif is retained in non-nodulating Fabales (such as C. canadensis, N. schottii; SI Appendix, Figure S2) and Rosales species as well." What does this imply about the role in symbiosis that the authors propose?

      We appreciate the reviewer’s question. The motif seems to be retained, however, it might be not only the motif but also the protein structure that in case of nodulating plants might be different. We have not investigated the structure of RIN4, how it would look based on certain features/upon interaction with another protein and/or post-translational modification(s). Griesman et al, (2018) showed the absence of certain genes within Fabales in non-nodulating species, we can speculate that these absent genes can’t interact with RIN4 in those species, therefore the lack of downstream signaling could be possible (in spite of the retained motif in non-nodulating species). At this point, there is not enough data or knowledge to further speculate.

      qPCR analysis of symbiotic pathway genes showed that both NIN-dependent and NIN-independent branches of the symbiosis signaling pathway were negatively affected in the rin4b mutant. Please derive a conclusion from this.

      We appreciate the comment, it also prompted us to correct the following sentence; original: “Since NIN is responsible for induction of NF-YA and ERN1 transcription factors, their reduced expression in rin4b plants was not unexpected (Fig. 5). “As ERN1 expression is independent of NIN (Kawaharada et al, 2017). The following sentences were also deleted as it represented a repetition of a statement above these sentences: “Soybean NF-YA1 homolog responded significantly to rhizobial treatment in rin4b plants, whereas NF-YA3 induction did not show significant induction (Fig. 5).“

      We added the following conclusion/hypothesis: “Based on the results of the expression data presented above, it seems that both NIN-dependent and NINindependent branches of the symbiotic signaling pathways are affected in the rin4b mutant background. This indicates that the role of RIN4 protein in the symbiotic pathway can be placed upstream of CYCLOPS, as the CYCLOPS transcription activating complex is responsible (directly or indirectly) for the activation of all TFs tested in our expression analysis (Singh et al, 2014/47, 48).” (Please see Page 16, revised manuscript)

      The authors are highly encouraged to write a thoughtful discussion that would accompany the detailed experimental work performed in this manuscript.

      We appreciate the comment, and we did some work on the discussion part of the document. (Please see Pages 17-19, revised manuscript)

      Some minor suggestions for overall readability are below.

      What about immune signaling genes? Given that authors hypothesize that "Absence of AtRIN4 leads to increased PTI responses and, therefore, it might be that GmRIN4b absence also causes enhanced PTI which might have contributed to significantly fewer nodules." Could check marker immune signaling gene expression FLS2 and others.

      We appreciate the reviewer’s comment, and while we believe those are very interesting questions/suggestions, answering them is out of the scope of the current manuscript. Partially because it has been shown that several defenseresponsive genes that were described in leaf immune responses could not be confirmed to respond in a similar manner in root (Chuberre et al., 2018). It was also shown that plant immune responses are compartmentalized and specialized in roots (Chuberre et al., 2018). If we were looking at immune-responsive genes, the signal might be diluted because of its specialized and compartmentalized nature. Another reason why these questions cannot be answered as a part of the current manuscript is because finding a suitable immune responsive gene would require rigorous experiments (not only in root, but also in root hair (over a timecourse) which would be a ground work for a separate study (root hair isolation is not a trivial experiment, it requires at least 250-300 seedlings per treatment/per time-point).

      Regarding FLS2, it is known in Arabidopsis that its expression is tissue-specific within the root, and it seems that FLS2 expression is restricted to the root vasculature (Wyrsch et al, 2015). In our manuscript, we showed that RIN4a/b is highly expressed in root hairs, as well as RIN4 phosphorylation was detectable in root hair but not in the root; therefore, we do not see the reason to investigate FLS2 expression.

      "in our hands only ERN1a could be amplified. One possible explanation for this observation is that primers were designed based on Williams 82 reference genome, while our rin4b mutant was generated in the Bert cultivar background." Is the sequence between the two cultivars and the primers that bind to ERN1b in both cultivars so different? If not, this explanation is not very convincing.

      At the time of performing the experiment the genomic sequence of the Bert cultivar (used for generating rin4b edited lines) was not publicly available. In accordance with the reviewer’s comment, we removed the explanation, as it does not seem to be relevant. (See page 16, revised manuscript)

      The figures are clear and there is a logical flow. The images of fluorescing nodules in Figure 2,3 panels with nodules are not informative or unbiased .

      We appreciate the comment, as for Figure 3 (complementing rin4b mutant), we updated the figures according to the other reviewer’s comment and Suppl. Figure 6 (OE phenotype of phospho-mimic/negative mutants) we removed the panels showing the micrographs. At the same time, we did not modify Figure 2 (where micrographs showing transgenic roots carrying the silencing constructs) for the sake of figure completeness. (See pages 10, 12 and 38, revised manuscript)

      What does the exercise in isolation of rin4 mutants in lotus tell us? Is it worth including?

      Isolation of the Ljrin4 mutant suggests that RIN4 carries such an importance that the mutant version of it is lethal for the plant (as in Arabidospis, where most of the evidence regarding the role of RIN4 has been described), and an additional piece of evidence that RIN4 is similarly crucial across most land plant species.

      Sentence ambiguous. "Co-expression of RIN4a and b with SymRKßΔMLD and NFR1α _resulted in YFP fluorescence detected by Confocal Laser Scanning Microscopy (SI Appendix, Figure S8) suggesting that RIN4a and b proteins closely associate with both RLKs." Were all 4 expressed together?

      Thank you for the remark. Not all 4 proteins were co-expressed together. We adjusted the sentence as follows: “Co-expression of RIN4a/ and b with SymRKßΔMLD as well as and NFR1α resulted in YFP fluorescence…” I hope it is phrased in a clearer way. (See page 13, revised manuscript)

      Minor spelling errors throughout.. Costume-made (custom made?)

      Thank you for noticing. According to the Cambridge online dictionary, it is written with a hyphen, therefore, we added a hyphen and corrected the manuscript accordingly.

      CRISPR-cas9 or CRISPR/Cas9? Keep it consistent throughout. CRISPR-cas9 is the latest consensus.

      We corrected it to “CRISPR-Cas9” throughout the manuscript.

      References are missing for several 'obvious statements' but please include them to reach a broader audience. For example the first 5 sentences of the introduction. Also, statements such as 'Root hairs are the primary entry point for rhizobial infection in most legumes.'.

      Thank you for the comment. To make it clearer, we also added reference #1, after the third sentence of the introduction, as well as we added an additional review as reference. This additional review was also cited as the source for the sentence “Root hairs are the primary…” (Please see page 2, revised manuscript)

      Can you provide a percent value? Silencing of RIN4a and RIN4b resulted in significantly reduced nodule numbers on soybean transgenic roots in comparison to transgenic roots carrying the empty vector control. Also, this wording suggests it was a double K.D. but from the images, it appears they were individually silenced.

      We appreciate the reviewer's comment. We observed a 50-70% reduction in the number of nodules. We adjusted the text according to the reviewer's remark. (See page 9, revised manuscript)

    1. Sean Michael Morris and Jesse Stommel’s ongoing critique of Turnitin, a plagiarism detection software, outlines exactly how this logic operates in ed-tech and higher education: 1) don’t trust students, 2) surveil them, 3) ignore the complexity of writing and citation, and 4) monetize the data.

      Now add AI into the mix. There will be even more detection software.

    1. Reviewer #2 (Public review):

      Oracová et al. present data supporting a role for SIMC1/SLF2 in silencing plasmid DNA via the SMC5/6 complex. Their findings are of interest, and they provide further mechanistic detail of how the SMC5/6 complex is recruited to disparate DNA elements. In essence, the present report builds on the author's previous paper in eLife in 2022 (PMID: 36373674, "The Nse5/6-like SIMC1-SLF2 complex localizes SMC5/6 to viral replication centers") by showing the role of SIMC1/SLF2 in localisation of the SMC5/6 complex to plasmid DNA, and the distinct requirements as compared to recruitment to DNA damage foci. Although the findings of the manuscript are of interest, we are not yet convinced that the new data presented here represents a compelling new body of work and would better fit the format of a "research advance" article. In their previous paper, Oracová et al. show that the recruitment of SMC5/6 to SV40 replication centres is dependent on SIMC1, and specifically, that it is dependent on SIMC1 residues adjacent to neighbouring SLF2.

      Other comments

      (1) The mutations chosen in Figure 1 are quite extensive - 5 amino acids per mutant. In addition, they are in many cases 'opposite' changes, e.g., positive charge to negative charge. Is the effect lost if single mutations to an alanine are made?

      (2) In Figure 2c, it isn't clear from the data shown that the 'SLF2-only' mutations in SMC6 result in a substantial reduction in SIMC1/SLF2 binding.

      (3) In the GFP reporter assays (e.g. Figure 3), median fluorescence is reported - was there any observed difference in the percentage of cells that are GFP positive?

      (4) The potential role of the large T antigen as an SMC5/6 evasion factor is intriguing. However, given the role of the large T antigen as a transcriptional activator, caution is required when interpreting enhanced GFP fluorescence. Antagonism of the SMC5/6 complex in this context might be further supported by ChIP experiments in the presence or absence of large T. Can large T functionally substitute for HBx or HIV-Vpr?

      (5) In Figure 5c, the apparent molecular weight of large T and SMC6 appears to change following transfection of GFP-SMC5 - is there a reason for this?

    2. Reviewer #3 (Public review):

      Summary:

      This study by the Boddy and Otomo laboratories further characterizes the roles of SMC5/6 loader proteins and related factors in SMC5/6-mediated repression of extrachromosomal circular DNA. The work shows that mutations engineered at an AlphaFold-predicted protein-protein interface formed between the loader SLF2/SIMC1 and SMC6 (similar to the interface in the yeast counterparts observed by cryo-EM) prevent co-IP of the respective proteins. The mutations in SLF2 also hinder plasmid DNA silencing when expressed in SLF2-/- cell lines, suggesting that this interface is needed for silencing. SIMC1 is dispensable for recruitment of SMC5/6 to sites of DNA damage, while SLF1 is required, thus separating the functions of the two loader complexes. Preventing SUMOylation (with a chemical inhibitor) increases transcription from plasmids but does not in SLF2-deleted cell lines, indicating the SMC5/6 silences plasmids in a SUMOylation dependent manner. Expression of LT is sufficient for increased expression, and again, not additive or synergistic with SIMC1 or SLF2 deletion, indicating that LT prevents silencing by directly inhibiting 5/6. In contrast, PML bodies appear dispensable for plasmid silencing.

      Strengths:

      The manuscript defines the requirements for plasmid silencing by SMC5/6 (an interaction of Smc6 with the loader complex SLF2/SIMC1, SUMOylation activity) and shows that SLF1 and PML bodies are dispensable for silencing. Furthermore, the authors show that LT can overcome silencing, likely by directly binding to (but not degrading) SMC5/6.

      Weaknesses:

      (1) Many of the findings were expected based on recent publications.

      (2) While the data are consistent with SIMC1 playing the main function in plasmid silencing, it is possible that SLF1 contributes to silencing, especially in the absence of SIMC1. This would potentially explain the discrepancy with the data reported in ref. 50. SLF2 deletion has a stronger effect on expression than SIMC1 deletion in many but not all experiments reported in this manuscript. A double mutant/deletion experiments would be useful to explore this possibility.

      (3) SLF2 is part of both types of loaders, while SLF1 and SIMC1 are specific to their respective loaders. Did the authors observe differences in phenotypes (growth, sensitivities to DNA damage) when comparing the mutant cell lines or their construction? This should be stated in the manuscript.

      (4) It would be desirable to have control reporter constructs located on the chromosome for several experiments, including the SUMOylation inhibition (Figures 5A and 5-S2) and LT expression (Figure 5D) to exclude more general effects on gene expression.

      (5) Figure 5A: There appears to be an increase in GFP in the SLF2-/- cells with SUMOi? Is this a significant increase?

      (6) The expression level of SFL2 mut1 should be tested (Figure 3B).

    1. Author response:

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      Syed et al. investigate the circuit underpinnings for leg grooming in the fruit fly. They identify two populations of local interneurons in the right front leg neuromere of ventral nerve cord, i.e. 62 13A neurons and 64 13B neurons. Hierarchical clustering analysis identifies 10 morphological classes for both populations. Connectome analysis reveals their circuit interactions: these GABAergic interneurons provide synaptic inhibition either between the two subpopulations, i.e., 13B onto 13A, or among each other, i.e., 13As onto other 13As, and/or onto leg motoneurons, i.e., 13As and 13Bs onto leg motoneurons. Interestingly, 13A interneurons fall into two categories, with one providing inhibition onto a broad group of motoneurons, being called "generalists", while others project to a few motoneurons only, being called "specialists". Optogenetic activation and silencing of both subsets strongly affect leg grooming. As well as activating or silencing subpopulations, i.e., 3 to 6 elements of the 13A and 13B groups, has marked effects on leg grooming, including frequency and joint positions, and even interrupting leg grooming. The authors present a computational model with the four circuit motifs found, i.e., feed-forward inhibition, disinhibition, reciprocal inhibition, and redundant inhibition. This model can reproduce relevant aspects of the grooming behavior.

      Strengths:

      The authors succeeded in providing evidence for neural circuits interacting by means of synaptic inhibition to play an important role in the generation of a fast rhythmic insect motor behavior, i.e., grooming. Two populations of local interneurons in the fruit fly VNC comprise four inhibitory circuit motifs of neural action and interaction: feed-forward inhibition, disinhibition, reciprocal inhibition, and redundant inhibition. Connectome analysis identifies the similarities and differences between individual members of the two interneuron populations. Modulating the activity of small subsets of these interneuron populations markedly affects the generation of the motor behavior, thereby exemplifying their important role in generating grooming.

      We thank the reviewer for their thoughtful and constructive evaluation of our work. We are encouraged by their recognition of the major contributions of our study, including the identification of multiple inhibitory circuit motifs and their contribution to organizing rhythmic leg grooming behavior. We also appreciate the reviewer’s comments highlighting our use of connectomics, targeted manipulations, and modeling to reveal how distinct subsets of inhibitory interneurons contribute to motor behavior.

      Weaknesses:

      Effects of modulating activity in the interneuron populations by means of optogenetics were conducted in the so-called closed-loop condition. This does not allow for differentiation between direct and secondary effects of the experimental modification in neural activity, as feedforward and feedback effects cannot be disentangled. To do so, open loop experiments, e.g., in deafferented conditions, would be important. Given that many members of the two populations of interneurons do not show one, but two or more circuit motifs, it remains to be disentangled which role the individual circuit motif plays in the generation of the motor behavior in intact animals.

      We appreciate the reviewer’s point regarding the role of sensory feedback in our experimental design. We agree that reafferent (sensory) input from ongoing movements could contribute to the behavioral outcomes of our optogenetic manipulations. However, our aim was not to isolate central versus peripheral contributions, but rather to assess the role of 13A/B neurons within the intact, operational sensorimotor system during natural grooming behavior.

      These inhibitory neurons form recurrent loops, synapse onto motor neurons, and receive proprioceptive input—placing them in a position to both shape central motor output and process sensory feedback. As such, manipulating their activity engages both central control and sensory consequences.

      The finding that silencing 13A neurons in dusted flies disrupts rhythmic leg coordination highlights their role in organizing grooming movements. Prior studies (e.g., Ravbar et al., 2021) show that grooming rhythms persist when sensory input is reduced, indicating a central origin, while sensory feedback refines timing, coordination, and long-timescale stability. We concluded that rhythmicity arises centrally but is shaped and stabilized by mechanosensory or proprioceptive feedback. Our current results are consistent with this view and support a model in which inhibitory premotor neurons participate in a closed-loop control architecture that generates and tunes rhythmic output.

      While we agree that fully removing sensory feedback and parsing distinct roles for neurons that participate in multiple circuit motifs would be desirable, we do not see a plausible experimental path to accomplish this - we would welcome suggestions!

      We considered the method used by Mendes and Mann (eLife 2023) to assess sensory feedback to walking, 5-40-GAL4, DacRE-flp, UAS->stop>TNT + 13A/B-spGAL4 X UAS-csChrimson. This would require converting one targeting system to LexA and presents significant technical challenges. More importantly, we believe the core interpretation issue would remain: broadly silencing proprioceptors would produce pleiotropic effects and impair baseline coordination, making it difficult to distinguish whether observed changes reflect disrupted rhythm generation or secondary consequences of impaired sensory input.

      We will clarify in the revised manuscript that our behavioral experiments were performed in freely moving flies under closed-loop conditions. We thank the reviewer for highlighting these important considerations and will revise the manuscript to better communicate the scope and interpretation of our findings.

      Reviewer #2 (Public review):

      Summary:

      This manuscript by Syed et al. presents a detailed investigation of inhibitory interneurons, specifically from the 13A and 13B hemilineages, which contribute to the generation of rhythmic leg movements underlying grooming behavior in Drosophila. After performing a detailed connectomic analysis, which offers novel insights into the organization of premotor inhibitory circuits, the authors build on this anatomical framework by performing optogenetic perturbation experiments to functionally test predictions derived from the connectome. Finally, they integrate these findings into a computational model that links anatomical connectivity with behavior, offering a systems-level view of how inhibitory circuits may contribute to grooming pattern generation.

      Strengths:

      (1) Performing an extensive and detailed connectomic analysis, which offers novel insights into the organization of premotor inhibitory circuits.

      (2) Making sense of the largely uncharacterized 13A/13B nerve cord circuitry by combining connectomics and optogenetics is very impressive and will lay the foundation for future experiments in this field.

      (3) Testing the predictions from experiments using a simplified and elegant model.

      We thank the reviewer for their thoughtful and encouraging evaluation of our work. We are especially grateful for their recognition of our detailed connectome analysis and its contribution to understanding the organization of premotor inhibitory circuits. We appreciate the reviewer’s comments highlighting the integration of connectomics with optogenetic perturbations to functionally interrogate the 13A and 13B circuits, as well as their recognition of our modeling approach as a valuable framework for linking circuit architecture to behavior.

      Weaknesses:

      (1) In Figure 4, while the authors report statistically significant shifts in both proximal inter-leg distance and movement frequency across conditions, the distributions largely overlap, and only in Panel K (13B silencing) is there a noticeable deviation from the expected 7-8 Hz grooming frequency. Could the authors clarify whether these changes truly reflect disruption of the grooming rhythm?

      We are re-analyzing the whole dataset in the light of the reviews (specifically, we are now applying LMM to these statistics). For the panels in question (H-J), there is indeed a large overlap between the frequency distributions, but the box plots show median and quartiles, which partially overlap. (In the current analysis, as it stands, differences in means were small yet significant.) However, there is a noticeable (not yet quantified) difference in variability between the frequencies (the experimental group being the more variable one). If the activations/deactivations of 13A/B circuits disrupt the rhythm, we would indeed expect the frequencies to become more variable. So, in the revised version we will quantify the differences in both the means and the variabilities, and establish whether either shows significance after applying the LMM.

      More importantly, all this data would make the most sense if it were performed in undusted flies (with controls) as is done in the next figure.

      In our assay conditions, undusted flies groom infrequently. We used undusted flies for some optogenetic activation experiments, where the neuron activation triggers behavior initiation, but we chose to analyze the effect of silencing inhibitory neurons in dusted flies because dust reliably activates mechanosensory neurons and elicits robust grooming behavior, enabling us to assess how manipulation of 13A/B neurons alters grooming rhythmicity and leg coordination.

      (2) In Figure 4-Figure Supplement 1, the inclusion of walking assays in dusted flies is problematic, as these flies are already strongly biased toward grooming behavior and rarely walk. To assess how 13A neuron activation influences walking, such experiments should be conducted in undusted flies under baseline locomotor conditions.

      We agree that there are better ways to assay potential contributions of 13A/13B neurons to walking. We intended to focus on how normal activity in these inhibitory neurons affects coordination during grooming, and we included walking because we observed it in our optogenetic experiments and because it also involves rhythmic leg movements. The walking data is reported in a supplementary figure because we think this merits further study with assays designed to quantify walking specifically. We will make these goals clearer in the revised manuscript and we are happy to share our reagents with other research groups more equipped to analyze walking differences.

      (3) For broader lines targeting six or more 13A neurons, the authors provide specific predictions about expected behavioral effects-e.g., that activation should bias the limb toward flexion and silencing should bias toward extension based on connectivity to motor neurons. Yet, when using the more restricted line labeling only two 13A neurons (Figure 4 - Figure Supplement 2), no such prediction is made. The authors report disrupted grooming but do not specify whether the disruption is expected to bias the movement toward flexion or extension, nor do they discuss the muscle target. This is a missed opportunity to apply the same level of mechanistic reasoning that was used for broader manipulations.

      While we know which two neurons are labeled based on confocal expression, assigning their exact identity in the EM datasets has been challenging. One of these neurons appears absent from our 13A reconstructions of the right T1 neuropil in FANC, although we did locate it in MANC. However, its annotation in MANC has undergone multiple revisions, making confident assignment difficult at this time. Since we can’t be sure which motor neurons and muscles are most directly connected, we did not want to predict this line’s effect on leg movements.

      (4) Regarding Figure 5: The 70ms on/off stimulation with a slow opsin seems problematic. CsChrimson off kinetics are slow and unlikely to cause actual activity changes in the desired neurons with the temporal precision the authors are suggesting they get. Regardless, it is amazing that the authors get the behavior! It would still be important for the authors to mention the optogenetics caveat, and potentially supplement the data with stimulation at different frequencies, or using faster opsins like ChrimsonR.

      We were also surprised - and intrigued - by the behavioral consequences of activating these inhibitory neurons with CsChrimson. We tried several different activation paradigms: pulsed from 8Hz to 500Hz and with various on/off intervals. Because several of these different stimulation protocols resulted in grooming, and with different rhythmic frequencies, we think the phenotypes are a specific property of the neural circuits we have activated, rather than the kinetics of CsChrimson itself.

      We will include the data from other frequencies in a new Supplementary Figure, we will discuss the caveats CsChrimson’s slow off-kinetics present to precise temporal control of neural activity, and we will try ChrimsonR in future experiments.

      Overall, I think the strengths outweigh the weaknesses, and I consider this a timely and comprehensive addition to the field.

      Thank you!

      Reviewer #3 (Public review):

      Summary:

      The authors set out to determine how GABAergic inhibitory premotor circuits contribute to the rhythmic alternation of leg flexion and extension during Drosophila grooming. To do this, they first mapped the ~120 13A and 13B hemilineage inhibitory neurons in the prothoracic segment of the VNC and clustered them by morphology and synaptic partners. They then tested the contribution of these cells to flexion and extension using optogenetic activation and inhibition and kinematic analyses of limb joints. Finally, they produced a computational model representing an abstract version of the circuit to determine how the connectivity identified in EM might relate to functional output. The study, in its current form, makes an important but overclaimed contribution to the literature due to a mismatch between the claims in the paper and the data presented.

      Strengths:

      The authors have identified an interesting question and use a strong set of complementary tools to address it:

      (1) They analysed serial‐section TEM data to obtain reconstructions of every 13A and 13B neuron in the prothoracic segment. They manually proofread over 60 13A neurons and 64 13B neurons, then used automated synapse detection to build detailed connectivity maps and cluster neurons into functional motifs.

      (2) They used optogenetic tools with a range of genetic driver lines in freely behaving flies to test the contribution of subsets of 13A and 13B neurons.

      (3) They used a connectome-constrained computational model to determine how the mapped connectivity relates to the rhythmic output of the behavior.

      We appreciate the reviewer’s thorough and constructive feedback on our work. We are encouraged by their recognition of the complementary approaches used in our study.

      Weaknesses:

      The manuscript aims to reveal an instructive, rhythm-generating role for premotor inhibition in coordinating the multi-joint leg synergies underlying grooming. It makes a valuable contribution, but currently, the main claims in the paper are not well-supported by the presented evidence.

      Major points

      (1) Starting with the title of this manuscript, "Inhibitory circuits generate rhythms for leg movements during Drosophila grooming", the authors raise the expectation that they will show that the 13A and 13B hemilineages produce rhythmic output that underlies grooming. This manuscript does not show that. For instance, to test how they drive the rhythmic leg movements that underlie grooming requires the authors to test whether these neurons produce the rhythmic output underlying behavior in the absence of rhythmic input. Because the optogenetic pulses used for stimulation were rhythmic, the authors cannot make this point, and the modelling uses a "black box" excitatory network, the output of which might be rhythmic (this is not shown). Therefore, the evidence (behavioral entrainment; perturbation effects; computational model) is all indirect, meaning that the paper's claim that "inhibitory circuits generate rhythms" rests on inferred sufficiency. A direct recording (e.g., calcium imaging or patch-clamp) from 13A/13B during grooming - outside the scope of the study - would be needed to show intrinsic rhythmogenesis. The conclusions drawn from the data should therefore be tempered. Moreover, the "black box" needs to be opened. What output does it produce? How exactly is it connected to the 13A-13B circuit?

      We will modify the title to better reflect our strongest conclusions: “Inhibitory circuits coordinate rhythmic leg movements during Drosophila grooming”

      Our optogenetic activation was delivered in a patterned (70 ms on/off) fashion that entrains rhythmic movements but does not rule out the possibility that the rhythm is imposed externally. In the manuscript, we state that we used pulsed light to mimic a flexion-extension cycle and note that this approach tests whether inhibition is sufficient to drive rhythmic leg movements when temporally patterned. While this does not prove that 13A/13B neurons are intrinsic rhythm generators, it does demonstrate that activating subsets of inhibitory neurons is sufficient to elicit alternating leg movements resembling natural grooming and walking.

      Our goal with the model was to demonstrate that it is possible to produce rhythmic outputs with this 13A/B circuit, based on the connectome. The “black box” is a small recurrent neural network (RNN) consisting of 40 neurons in its hidden layer. The inputs are the “dust” levels from the environment (the green pixels in Figure 6I), the “proprioceptive” inputs (“efference copy” from motor neurons), and the amount of dust accumulated on both legs. The outputs (all positive) connect to the 13A neurons, the 13B neurons, and to the motor neurons. We refer to it as the “black box” because we make no claims about the actual excitatory inputs to these circuits. Its function is to provide input, needed to run the network, that reflects the distribution of “dust” in the environment as well as the information about the position of the legs.

      The output of the “black box” component of the model might be rhythmic. In fact, in most instances of the model implementation this is indeed the case. However, as mentioned in the current version of the manuscript: “But the 13A circuitry can still produce rhythmic behavior even without those external sensory inputs (or when set to a constant value), although the legs become less coordinated.” Indeed, when we refine the model (with the evolutionary training) without the “black box” (using a constant input of 0.1) the behavior is still rhythmic and sustained. Therefore, the rhythmic activity and behavior can emerge from the premotor circuitry itself without a rhythmic input.

      The context in which the 13A and 13B hemilineages sit also needs to be explained. What do we know about the other inputs to the motorneurons studied? What excitatory circuits are there?

      We agree that there are many more excitatory and inhibitory, direct and indirect, connections to motor neurons that will also affect leg movements for grooming and walking. Our goal was to demonstrate what is possible from a constrained circuit of inhibitory neurons that we mapped in detail, and we hope to add additional components to better replicate the biological circuit as behavioral and biomechanical data is obtained by us and others. We will add this clarification of the limits of the scope to the Discussion.

      Furthermore, the introduction ignores many decades of work in other species on the role of inhibitory cell types in motor systems. There is some mention of this in the discussion, but even previous work in Drosophila larvae is not mentioned, nor crustacean STG, nor any other cell types previously studied. This manuscript makes a valuable contribution, but it is not the first to study inhibition in motor systems, and this should be made clear to the reader.

      We thank the reviewer for this important reminder and we will expand our discussion of the relevant history and context in our revision. Previous work on the contribution of inhibitory neurons to invertebrate motor control certainly influenced our research and we should acknowledge this better.

      (2) The experimental evidence is not always presented convincingly, at times lacking data, quantification, explanation, appropriate rationales, or sufficient interpretation.

      We are committed to improving the clarity, rationale, and completeness of our experimental descriptions. We will revisit the statistical tests applied throughout the manuscript and expand the Methods.

      (3) The statistics used are unlike any I remember having seen, essentially one big t-test followed by correction for multiple comparisons. I wonder whether this approach is optimal for these nested, high‐dimensional behavioral data. For instance, the authors do not report any formal test of normality. This might be an issue given the often skewed distributions of kinematic variables that are reported. Moreover, each fly contributes many video segments, and each segment results in multiple measurements. By treating every segment as an independent observation, the non‐independence of measurements within the same animal is ignored. I think a linear mixed‐effects model (LMM) or generalized linear mixed model (GLMM) might be more appropriate.

      We thank the reviewer for raising this important point regarding the statistical treatment of our segmented behavioral data. Our initial analysis used independent t-tests with Bonferroni correction across behavioral classes and features, which allowed us to identify broad effects. However, we acknowledge that this approach does not account for the nested structure of the data. To address this, we will re-analyze key comparisons using linear mixed-effects models (LMMs) as suggested by the reviewer. This approach will allow us to more appropriately model within-fly variability and test the robustness of our conclusions. We will update the manuscript based on the outcomes of these analyses.

      (4) The manuscript mentions that legs are used for walking as well as grooming. While this is welcome, the authors then do not discuss the implications of this in sufficient detail. For instance, how should we interpret that pulsed stimulation of a subset of 13A neurons produces grooming and walking behaviours? How does neural control of grooming interact with that of walking?

      We do not know how the inhibitory neurons we investigated will affect walking or how circuits for control of grooming and walking might compete. We speculate that overlapping pre-motor circuits may participate in walking and grooming because both behaviors have extension flexion cycles at similar frequencies, but we do not have hard experimental data to support. This would be an interesting area for future research. Here, we focused on the consequences of activating specific 13A/B neurons during grooming because they were identified through a behavioral screen for grooming disruptions, and we had developed high-resolution assays and familiarity with the normal movements in this behavior. We will clarify this rationale in the revised discussion.

      (5) The manuscript needs to be proofread and edited as there are inconsistencies in labelling in figures, phrasing errors, missing citations of figures in the text, or citations that are not in the correct order, and referencing errors (examples: 81 and 83 are identical; 94 is missing in text).

      We will carefully proofread the manuscript to fix all figure labeling, citation order, and referencing errors.

    2. Reviewer #2 (Public review):

      Summary:

      This manuscript by Syed et al. presents a detailed investigation of inhibitory interneurons, specifically from the 13A and 13B hemilineages, which contribute to the generation of rhythmic leg movements underlying grooming behavior in Drosophila. After performing a detailed connectomic analysis, which offers novel insights into the organization of premotor inhibitory circuits, the authors build on this anatomical framework by performing optogenetic perturbation experiments to functionally test predictions derived from the connectome. Finally, they integrate these findings into a computational model that links anatomical connectivity with behavior, offering a systems-level view of how inhibitory circuits may contribute to grooming pattern generation.

      Strengths:

      (1) Performing an extensive and detailed connectomic analysis, which offers novel insights into the organization of premotor inhibitory circuits.

      (2) Making sense of the largely uncharacterized 13A/13B nerve cord circuitry by combining connectomics and optogenetics is very impressive and will lay the foundation for future experiments in this field.

      (3) Testing the predictions from experiments using a simplified and elegant model.

      Weaknesses:

      (1) In Figure 4, while the authors report statistically significant shifts in both proximal inter-leg distance and movement frequency across conditions, the distributions largely overlap, and only in Panel K (13B silencing) is there a noticeable deviation from the expected 7-8 Hz grooming frequency. Could the authors clarify whether these changes truly reflect disruption of the grooming rhythm? More importantly, all this data would make the most sense if it were performed in undusted flies (with controls) as is done in the next figure.

      (2) In Figure 4-Figure Supplement 1, the inclusion of walking assays in dusted flies is problematic, as these flies are already strongly biased toward grooming behavior and rarely walk. To assess how 13A neuron activation influences walking, such experiments should be conducted in undusted flies under baseline locomotor conditions.

      (3) For broader lines targeting six or more 13A neurons, the authors provide specific predictions about expected behavioral effects-e.g., that activation should bias the limb toward flexion and silencing should bias toward extension based on connectivity to motor neurons. Yet, when using the more restricted line labeling only two 13A neurons (Figure 4 - Figure Supplement 2), no such prediction is made. The authors report disrupted grooming but do not specify whether the disruption is expected to bias the movement toward flexion or extension, nor do they discuss the muscle target. This is a missed opportunity to apply the same level of mechanistic reasoning that was used for broader manipulations.

      (4) Regarding Figure 5: The 70ms on/off stimulation with a slow opsin seems problematic. CsChrimson off kinetics are slow and unlikely to cause actual activity changes in the desired neurons with the temporal precision the authors are suggesting they get. Regardless, it is amazing that the authors get the behavior! It would still be important for the authors to mention the optogenetics caveat, and potentially supplement the data with stimulation at different frequencies, or using faster opsins like ChrimsonR.

      Overall, I think the strengths outweigh the weaknesses, and I consider this a timely and comprehensive addition to the field.

    3. Reviewer #3 (Public review):

      Summary:

      The authors set out to determine how GABAergic inhibitory premotor circuits contribute to the rhythmic alternation of leg flexion and extension during Drosophila grooming. To do this, they first mapped the ~120 13A and 13B hemilineage inhibitory neurons in the prothoracic segment of the VNC and clustered them by morphology and synaptic partners. They then tested the contribution of these cells to flexion and extension using optogenetic activation and inhibition and kinematic analyses of limb joints. Finally, they produced a computational model representing an abstract version of the circuit to determine how the connectivity identified in EM might relate to functional output. The study, in its current form, makes an important but overclaimed contribution to the literature due to a mismatch between the claims in the paper and the data presented.

      Strengths:

      The authors have identified an interesting question and use a strong set of complementary tools to address it:

      (1) They analysed serial‐section TEM data to obtain reconstructions of every 13A and 13B neuron in the prothoracic segment. They manually proofread over 60 13A neurons and 64 13B neurons, then used automated synapse detection to build detailed connectivity maps and cluster neurons into functional motifs.

      (2) They used optogenetic tools with a range of genetic driver lines in freely behaving flies to test the contribution of subsets of 13A and 13B neurons.

      (3) They used a connectome-constrained computational model to determine how the mapped connectivity relates to the rhythmic output of the behavior.

      Weaknesses:

      The manuscript aims to reveal an instructive, rhythm-generating role for premotor inhibition in coordinating the multi-joint leg synergies underlying grooming. It makes a valuable contribution, but currently, the main claims in the paper are not well-supported by the presented evidence.

      Major points

      (1) Starting with the title of this manuscript, "Inhibitory circuits generate rhythms for leg movements during Drosophila grooming", the authors raise the expectation that they will show that the 13A and 13B hemilineages produce rhythmic output that underlies grooming. This manuscript does not show that. For instance, to test how they drive the rhythmic leg movements that underlie grooming requires the authors to test whether these neurons produce the rhythmic output underlying behavior in the absence of rhythmic input. Because the optogenetic pulses used for stimulation were rhythmic, the authors cannot make this point, and the modelling uses a "black box" excitatory network, the output of which might be rhythmic (this is not shown). Therefore, the evidence (behavioral entrainment; perturbation effects; computational model) is all indirect, meaning that the paper's claim that "inhibitory circuits generate rhythms" rests on inferred sufficiency. A direct recording (e.g., calcium imaging or patch-clamp) from 13A/13B during grooming - outside the scope of the study - would be needed to show intrinsic rhythmogenesis. The conclusions drawn from the data should therefore be tempered. Moreover, the "black box" needs to be opened. What output does it produce? How exactly is it connected to the 13A-13B circuit? The context in which the 13A and 13B hemilineages sit also needs to be explained. What do we know about the other inputs to the motorneurons studied? What excitatory circuits are there? Furthermore, the introduction ignores many decades of work in other species on the role of inhibitory cell types in motor systems. There is some mention of this in the discussion, but even previous work in Drosophila larvae is not mentioned, nor crustacean STG, nor any other cell types previously studied. This manuscript makes a valuable contribution, but it is not the first to study inhibition in motor systems, and this should be made clear to the reader.

      (2) The experimental evidence is not always presented convincingly, at times lacking data, quantification, explanation, appropriate rationales, or sufficient interpretation.

      (3) The statistics used are unlike any I remember having seen, essentially one big t-test followed by correction for multiple comparisons. I wonder whether this approach is optimal for these nested, high‐dimensional behavioral data. For instance, the authors do not report any formal test of normality. This might be an issue given the often skewed distributions of kinematic variables that are reported. Moreover, each fly contributes many video segments, and each segment results in multiple measurements. By treating every segment as an independent observation, the non‐independence of measurements within the same animal is ignored. I think a linear mixed‐effects model (LMM) or generalized linear mixed model (GLMM) might be more appropriate.

      (4) The manuscript mentions that legs are used for walking as well as grooming. While this is welcome, the authors then do not discuss the implications of this in sufficient detail. For instance, how should we interpret that pulsed stimulation of a subset of 13A neurons produces grooming and walking behaviours? How does neural control of grooming interact with that of walking?

      (5) The manuscript needs to be proofread and edited as there are inconsistencies in labelling in figures, phrasing errors, missing citations of figures in the text, or citations that are not in the correct order, and referencing errors (examples: 81 and 83 are identical; 94 is missing in text).

    1. Reviewer #2 (Public review):

      Summary:

      This study examines whether the localization of endocytic proteins to presynaptic periactive zones depends on synaptic activity or active zone scaffolds. Using a combination of genetic and pharmacological perturbations in Drosophila and mouse neurons, the authors show that proteins such as Dynamin, Amphiphysin, AP-180, and others are still recruited to periactive zones even when evoked release or active zone architecture is disrupted. While the results are mostly negative, the study is methodologically solid and contributes to a more nuanced understanding of synaptic vesicle recycling machinery.

      Strengths:

      (1) The experimental design is careful and systematic, covering both fly and mammalian systems.

      (2) The use of advanced genetic models (e.g., Liprin-α quadruple knockout mice) is a notable strength.

      (3) High-resolution imaging (STED, Airyscan) is well used to assess spatial localization.

      (4) The findings clarify that certain core assumptions - such as strict activity dependence of endocytic recruitment - may not hold universally.

      Weaknesses:

      (1) The study would benefit from a clearer positive control to demonstrate activity-dependent recruitment (e.g., Endophilin).

      (2) The reliance on Tetanus toxin in the Drosophila NMJ experiments in my eyes is a limitation, as it does not block all presynaptic fusion events; this should be discussed more directly.

      (3) The potential role of Dynamin in organizing other periactive zone proteins is not addressed and could be an important next step.

      (4) Some small changes in protein levels upon silencing are reported; their biological meaning (e.g., compensation vs. variability) is not fully clarified.

      (5) While alternative organizing mechanisms (actin, lipids, adhesion molecules) are mentioned, a more forward-looking discussion of how to test these models would be helpful.

      (6) The authors should consider including, or at least discussing, a well-established activity-dependent endocytic protein (e.g., Endophilin) as a positive control to help contextualize the negative findings.

    1. Reviewer #1 (Public review):

      Summary:

      In this manuscript, the authors endeavor to capture the dynamics of emotion-related brain networks. They employ slice-based fMRI combined with ICA on fMRI time series recorded while participants viewed a short movie clip. This approach allowed them to track the time course of four non-noise independent components at an effective 2s temporal resolution at the BOLD level. Notably, the authors report a temporal sequence from input to meaning, followed by response, and finally default mode networks, with significant overlap between stages. The use of ICA offers a data-driven method to identify large-scale networks involved in dynamic emotion processing. Overall, this paradigm and analytical strategy mark an important step forward in shifting affective neuroscience toward investigating temporal dynamics rather than relying solely on static network assessments

      Strengths:

      (1) One of the main advantages highlighted is the improved temporal resolution offered by slice-based fMRI. However, the manuscript does not clearly explain how this method achieves a higher effective resolution, especially since the results still show a 2s temporal resolution, comparable to conventional methods. Clarification on this point would help readers understand the true benefit of the approach.

      (2) While combining ICA with task fMRI is an innovative approach to study the spatiotemporal dynamics of emotion processing, task fMRI typically relies on modeling the hemodynamic response (e.g., using FIR or IR models) to mitigate noise and collinearity across adjacent trials. The current analysis uses unmodeled BOLD time series, which might risk suffering from these issues.

      (3) The study's claims about emotion dynamics are derived from fMRI data, which are inherently affected by the hemodynamic delay. This delay means that the observed time courses may differ substantially from those obtained through electrophysiology or MEG studies. A discussion on how these fMRI-derived dynamics relate to - or complement - is critical for the field to understand the emotion dynamics.

      (4) Although using ICA to differentiate emotion elements is a convenient approach to tell a story, it may also be misleading. For instance, the observed delayed onset and peak latency of the 'response network' might imply that emotional responses occur much later than other stages, which contradicts many established emotion theories. Given the involvement of large-scale brain regions in this network, the underlying reasons for this delay could be very complex.

      Concerns and suggestions:

      However, I have several concerns regarding the specific presentation of temporal dynamics in the current manuscript and offer the following suggestions.

      (1) One selling point of this work regarding the advantages of testing temporal dynamics is the application of slice-based fMRI, which, in theory, should improve the temporal resolution of the fMRI time course. Improving fMRI temporal resolution is critical for a research project on this topic. The authors present a detailed schematic figure (Figure 2) to help readers understand it. However, I have difficulty understanding the benefits of this method in terms of temporal resolution.

      a) In Figure 2A, if we examine a specific voxel in slice 2, the slice acquisitions occur at 0.7s, 2.7s, and 4.7s, which implies a temporal resolution of 2s rather than 0.7s. I am unclear on how the temporal resolution could be 0.7s for this specific voxel. I would prefer that the authors clarify this point further, as it would benefit readers who are not familiar with this technology.

      b) Even with the claim of an increased temporal resolution (0.7s), the actual data (Figure 3) still appears to have a 2s resolution. I wonder what specific benefit slice-based fMRI brings in terms of testing temporal dynamics, aside from correcting the temporal distortions that conventional fMRI exhibits.

      (2) In task-fMRI, the hemodynamic response is usually estimated using a specific model (e.g., FIR, IR model; see Lindquist et al., 2009). These models are effective at reducing noise and collinearity across adjacent trials. The current method appears to be conducted on unmodeled BOLD time series.

      a) I am wondering how the authors avoid the issues that are typically addressed by these HRF modeling approaches. For example, if we examine the baseline period (say, -4 to 0s relative to stimulus onset), the activation of most networks does not remain around zero, which could be due to delayed influences from the previous trial. This suggests that the current time course may not be completely accurate.

      b) A related question: if the authors take the spatial map of a certain network and apply a modeling approach to estimate a time series within that network, would the results be similar to the current ICA time series?

      (3) Human emotion should be inherently fast to ensure survival, as shown in many electrophysiology and MEG studies. For example, the dynamics of a fearful face can occur within 100ms in subcortical regions (Méndez-Bértolo et al., 2016), and general valence and arousal effects can occur as early as 200ms (e.g., Grootswagers et al., 2020; Bo et al., 2022). In contrast, the time-to-peak or onset timing in the BOLD time series spans a much larger time range due to the hemodynamic delay. fMRI findings indeed add spatial precision to our understanding of the temporal dynamics of emotion, but could the authors comment on how the current temporal dynamics supplement those electrophysiology studies that operate on much finer temporal scales?

      (4) The response network shows activation as late as 15 to 20s, which is surprising. Could the authors discuss further why it takes so long for participants to generate an emotional response in the brain?

      (5) Related to 4. In many theories, the emotion processing stages-including perception, valuation, and response-are usually considered iterative processes (e.g., Gross, 2015), especially in real-world scenarios. The advantage of the current paradigm is that it incorporates more dynamic elements of emotional stimuli and is closer to reality. Therefore, one might expect some degree of dynamic fluctuation within the tested brain networks to reflect those potential iterative processes (input, meaning, response). However, we still do not observe much brain dynamics in the data. In Figure 5, after the initial onset, most network activations remain sustained for an extended period of time. Does this suggest that emotion processing is less dynamic in the brain than we thought, or could it be related to limitations in temporal resolution? It could also be that the dynamics of each individual trial differ, and averaging them eliminates these variations. I would like to hear the authors' comments on this topic.

      (6) The activation of the default mode network (DMN), although relatively late, is very interesting. Generally, one would expect a deactivation of this network during ongoing external stimulation. Could this suggest that participants are mind-wandering during the later portion of the task?

    1. Reviewer #2 (Public review):

      In this manuscript, Timblin et al provide a model where exogenous CoA is taken up by macrophages and utilized to support transcriptional events associated with activation. They provide a series of important findings, and for the most part, the data are clear and convincing. However, additional clarity on a few points would be helpful.

      First of all, the contention that endogenous TLR ligands from the bone marrow cultures are driving the tonic signaling that makes exogenous CoA beneficial in unstimulated cells seems counter to the well-described anergic state of myeloid cells derived from TLR-null mice. This reviewer's understanding was that myeloid cells in MyD88 nulls or similar are developmentally anergic due to the lack of TLR stimulation in vivo. The data here (Figure 5G, etc) show these cells have much lower TLR responses, but the authors attribute it to loss of response to endogenous ligands during the cultures rather than in vivo. Testing some of the phenotypes ex vivo, etc, might make this argument more compelling and rule out that this is an effect in vivo.

      Second, the data suggesting that CoA enhances anti-microbial activity via itaconate production needs additional context and/or clarification. Interactions between itaconate and CoA have been demonstrated. Itaconate exposure can deplete the CoA pool as it is converted into Itaconyl-CoA. The Irg-/- cells should not have reduced CoA due to the lack of the need to activate itaconate for metabolism. Has this been addressed by the authors? I believe that low levels of itaconate production have been shown in "resting" bone marrow cultures. The data show a full log of more bugs in the macs that lack Irg, confirming that endogenous itaconate is at work. In addition, itaconate, which is made very quickly and is likely there in considerable amounts in 4 hrs, is known to affect transcription via action on TET2. Perhaps this explains some of the connections to CoA?

      Lastly, the idea that Acetyl-CoA phenocopies CoA suggests that CoA is the effector is interesting but could be supported more. Did the authors do the "unlabeling" experiment with Acetyl-CoA to confirm that it is readily converted to the CoA pool?

      Do the ACLY inhibitors have the expected effects on the ChIP seq data?

    1. Reviewer #2 (Public review):

      The authors aimed to investigate whether gamma synchrony serves a functional role in figure-ground perception. They specifically sought to test whether the stimulus-dependence of gamma synchrony, often considered a limitation, actually facilitates perceptual grouping. Using the theory of weakly coupled oscillators (TWCO), they developed a framework wherein synchronization depends on both frequency detuning (related to contrast heterogeneity) and coupling strength (related to proximity between visual elements). Through psychophysical experiments with texture discrimination tasks and computational modeling, they tested whether human performance follows patterns predicted by TWCO and whether perceptual learning enhances synchrony-based grouping.

      Strengths:

      (1) The theoretical framework connecting TWCO to visual perception is innovative and well-articulated, providing a potential mechanistic explanation for how gamma synchrony might contribute to both feature binding and separation.

      (2) The methodology combines psychophysical measurements with computational modeling, with a solid quantitative agreement between model predictions and human performance.

      (3) In particular, the demonstration that coupling strengths can be modified through experience is remarkable and suggests gamma synchrony could be an adaptable mechanism that improves with visual learning.

      (4) The cross-validation approach, wherein model parameters derived from macaque neurophysiology successfully predict human performance, strengthens the biological plausibility of the framework.

      Weaknesses:

      (1) The highly controlled stimuli are far removed from natural scenes, raising questions about generalisability. But, of course, control (almost) excludes ecological validity. The study does not address the challenges of natural vision or leverage the rich statistical structure afforded by natural scenes.

      (2) The experimental design appears primarily confirmatory rather than attempting to challenge the TWCO framework or test boundary conditions where it might fail.

      (3) Alternative explanations for the observed behavioral effects are not thoroughly explored. While the model provides a good fit to the data, this does not conclusively prove that gamma synchrony is the actual mechanism underlying the observed effects.

      (4) Direct neurophysiological evidence linking the observed behavioral effects to gamma synchrony in humans is absent, creating a gap between the model and the neural mechanism.

      Achievement of Aims and Support for Conclusions:

      The authors largely achieved their primary aim of demonstrating that human figure-ground perception follows patterns predicted by TWCO principles. Their psychophysical results reveal a behavioral "Arnold tongue" that matches the synchronization patterns predicted by their model, and their learning experiment shows that perceptual improvements correlate with predicted increases in synchrony.

      The evidence supports their conclusion that gamma synchrony could serve as a viable neural grouping mechanism for figure-ground segregation. However, the conclusion that "stimulus-dependence of gamma synchrony is adaptable to the statistics of visual experiences" is only partially supported, as the study uses highly controlled artificial stimuli rather than naturalistic visual statistics, or shows a sensitivity to the structure of experience.

      Likely Impact and Utility:

      This work offers a fresh perspective on the functional role of gamma oscillations in visual perception. The integration of TWCO with perceptual learning provides a novel theoretical framework that could influence future research on neural synchrony.

      The computational model, with parameters derived from neurophysiological data, offers a useful tool for predicting perceptual performance based on synchronization principles. This approach might be extended to study other perceptual phenomena and could inspire designs for artificial vision systems.

      The learning component of the study may have a particular impact, as it suggests a mechanism by which perceptual expertise develops through modified coupling between neural assemblies. This could influence thinking about perceptual learning more broadly, but also raises questions about the underlying mechanism that the paper does not address.

      Additional Context:

      Historically, the functional significance of gamma oscillations has been debated, with early theories of temporal binding giving way to skepticism based on gamma's stimulus-dependence. This study reframes this debate by suggesting that stimulus-dependence is exactly what makes gamma useful for perceptual grouping.

      The successful combination of computational neuroscience and psychophysics is a significant strength of this study.

      The field would benefit from future work extending (if possible) these findings to more naturalistic stimuli and directly measuring neural activity during perceptual tasks. Additionally, studies comparing predictions from synchrony-based models against alternative mechanisms would help establish the specificity of the proposed framework.

    1. Résumé de la vidéo [00:00:00][^1^][1] - [00:24:29][^2^][2]:

      La vidéo présente une discussion approfondie sur la santé mentale au travail avec Samah Karaki. Elle aborde l'importance de traiter la santé mentale au travail de la même manière que dans d'autres domaines de la vie, en soulignant que le cerveau ne fait pas de distinction entre les différents environnements.

      Points forts: + [00:00:15][^3^][3] Santé mentale au travail * L'importance de prendre soin de sa santé mentale * Pas de différence entre le travail et la famille pour le cerveau * L'influence de toutes les expériences vécues sur la santé mentale + [00:01:17][^4^][4] Le rôle des 'happiness officers' * Questionnement sur leur efficacité * Les besoins humains fondamentaux doivent être satisfaits * La nécessité de créer un environnement de travail sain + [00:05:01][^5^][5] La séparation entre travail et vie personnelle * Discussion sur une série télévisée dystopique * Impossibilité de séparer complètement les deux domaines * L'impact de la charge mentale des deux environnements + [00:06:02][^6^][6] Les micro-traumatismes quotidiens * Comparaison avec le stress chronique chez les animaux * L'importance de la prévention avant le soin * Alignement des environnements avec les besoins humains + [00:07:12][^7^][7] Les besoins humains fondamentaux * Discussion sur l'évolution des besoins humains * L'importance de l'autonomie, la reconnaissance et la certitude * La nécessité d'un environnement de travail qui ne menace pas ces besoins + [00:11:00][^8^][8] La productivité et le bonheur au travail * La productivité comme objectif implicite ou explicite * La stabilité émotionnelle améliore la performance * La différence entre motivations intrinsèques et extrinsèques Résumé de la vidéo [00:24:33][^1^][1] - [00:47:23][^2^][2]:

      La vidéo aborde l'importance de trouver du sens dans son travail, indépendamment du poste ou de la mission. Elle souligne la nécessité d'une transparence sur les objectifs et l'utilité de chaque rôle au sein d'une entreprise. La discussion porte également sur la gestion de l'incertitude et l'importance de la reconnaissance et du respect des compétences individuelles pour prévenir le burn-out et le bore-out.

      Points forts: + [00:24:33][^3^][3] Trouver du sens au travail * Importance de la connexion avec la mission de l'entreprise * Nécessité de comprendre l'utilité de son travail * Exemple de la NASA pour illustrer le sens au travail + [00:35:05][^4^][4] Le bore-out et l'épuisement professionnel * Risque d'épuisement lorsque les compétences ne sont pas sollicitées * Concept de "flow" et équilibre entre compétences et défis * Impact du bore-out sur la santé mentale et le suicide professionnel + [00:43:46][^5^][5] Gérer l'incertitude et promouvoir la diversité * Approches pour faire face à l'incertitude dans le monde professionnel * Importance de la transparence et de la tolérance à l'erreur * Valeur des profils atypiques et de la diversité des perspectives Résumé de la vidéo 00:47:25 - 00:54:35: La vidéo traite de l'importance de la diversité des perspectives et de l'écoute équitable dans le milieu professionnel pour aborder la complexité croissante du monde. Elle souligne la nécessité d'inclure des profils atypiques et de valoriser chaque voix, indépendamment du genre ou de l'apparence physique, pour apprendre les uns des autres et mieux gérer l'incertitude.

      Points forts: + [00:47:25][^1^][1] Diversité des perspectives * La diversité est cruciale pour comprendre le monde complexe * Les profils atypiques apportent des vues uniques * Chaque trajectoire singulière a de la valeur + [00:48:37][^2^][2] Écoute équitable * Il est important que tous les profils se sentent légitimes à s'exprimer * L'écoute doit être sincère et non discriminatoire * L'apparence physique ne devrait pas influencer l'attention accordée + [00:50:22][^3^][3] Importance du collectif * Face à l'incertitude, la collaboration est essentielle * La discrimination positive est nécessaire mais insuffisante sans écoute active * Chaque personne a quelque chose à enseigner aux autres + [00:52:17][^4^][4] Conseils pour les leaders * Reconnaître que personne n'a toutes les réponses * Valoriser l'intelligence collective et l'expertise diverse * Encourager la formulation des bonnes questions par tous

    1. This internal blueprint, known as self-concept, acts as a filter through which we interpret the world and present ourselves

      Exercise to Consider: Set a timer for 1 minute. Then, write down any words that come to mind, that you believe describes yourself.. Once the timer ends, review the list of words, and then respond to the following reflective questions: 1. How many of the words you listed are subjective vs. objective? 2. How many of the words listed are things that you have said about yourself vs what others have said about you? 3. How many of the words listed are what you want to be vs. who you are? 4. Are there any words that you intentionally did not write down? If so, why? 5. How does the way you responded to the above questions reveal about your self-concept?

    1. Briefing : Révolutionner la productivité des associations grâce au No-Code et à l'IA

      Introduction

      Ce briefing récapitule les points clés abordés lors du webinaire organisé par Solidatech, en partenariat avec Contournement et Nocode Forgood.

      L'objectif principal de cette session était de démontrer comment les outils "no-code" et l'intelligence artificielle (IA) peuvent permettre aux associations de "gagner des dizaines d’heures par mois" et de renforcer leur impact numérique.

      1. Solidatech : Renforcer l'impact numérique des associations

      • Solidatech est une organisation française fondée en 2008, dédiée à l'accompagnement des associations dans leur transformation numérique.

      Composée d'une douzaine de personnes, elle opère depuis Paris et les Deux-Sèvres, où se situe sa coopérative d'insertion, les Ateliers du Bocage (mouvement Emmaüs), spécialisée dans le réemploi de matériel bureautique. Solidatech est également le satellite français du réseau international TechSoup.

      Public cible :

      Plus de 42 000 associations inscrites gratuitement. Divers statuts juridiques : associations (locales ou plus grandes), fondations, fonds de dotation, bibliothèques publiques. Toutes tailles d'organisations, avec ou sans employés (y compris celles composées uniquement de bénévoles).

      Piliers d'accompagnement :

      • Accès à des outils et matériels à tarifs réduits : Offre de logiciels et matériels reconditionnés (ordinateurs, écrans, smartphones, etc.) avec des remises allant de -30% à -90%, voire des gratuités. Exemples de partenaires : Cisco, Dell.
      • Développement des usages numériques :Centre de ressources gratuit.
      • Équipe support basée dans les Deux-Sèvres pour le conseil et le choix des licences.
      • Outil de diagnostic numérique pour évaluer la maturité numérique.
      • Étude nationale annuelle sur la place du numérique dans le milieu associatif.
      • Accompagnement et formation :Newsletters régulières.
      • Partenariat Prestatek (annuaire de prestataires de services).
      • Webinaires thématiques variés.
      • Formations certifiées Qualiopi sur des sujets comme la conformité RGPD, la communication digitale, la recherche de financement, la gestion de dons, et l'utilisation d'outils (Microsoft 365, Canva).
      • Impact : Solidatech aide les associations à réaliser des "économies monétaires [et] en temps", à gagner en maturité numérique et à se professionnaliser.

      2. Le No-Code et l'IA : Définitions et promesses

      Erwan Kezzard, cofondateur de Contournement, a introduit les concepts de no-code et d'IA générative comme des leviers majeurs pour optimiser le temps. Il souligne que "le temps... c'est une ressource extrêmement importante, notamment quand on travaille soit aux sources contraintes".

      Définition du No-Code :

      • "Le nocode comme son anxie son son les les l'exprime et l'exige ce sont des outils qui permettent de réaliser visuellement intuitivement des projets numériques sans forcément avoir de compétences informatiques en code."

      • Permet de créer des sites web, des petites applications, d'automatiser des tâches, de créer des solutions internes, etc., de manière visuelle et intuitive.

      • Exemple : Excel n'est pas du no-code ; le no-code permet de "créer ses propres outils".

      Définition de l'IA Générative :

      Il s'agit des IA accessibles comme "les Chat GPT, Mistral et autres qui sont euh bah des technologies auxquelles on peut assez rapidement demander des choses demander de retraiter du contenu demander de faire des recherches et elle nous répond".

      Potentiel et Bénéfices :

      • L'objectif est de "gagner des dizaines d'heures par mois" en évitant les "manipulations répétitives, des tâches non informatisées ou des tâches informatisées mal optimisées".
      • Principal usage : l'optimisation de la productivité, c'est-à-dire "travailler mieux pour faire autant ou faire moins". Cela concerne l'optimisation des "ops" (opérations quotidiennes) en administratif, RH, gestion de projet, etc.
      • Exemple de gain de temps : "si cinq fois par jour je passe 5 minutes à faire une tâche à la fin de l'année j'aurais passé 6 jours plein 6 jours de travail à ne faire que ça".

      3. Les Trois Briques Fondamentales du No-Code Erwan Kezzard a illustré les capacités du no-code à travers trois piliers principaux, souvent combinés :

      Bases de données visuelles :

      Outil clé : Airtable (alternative française : TimeTonic).

      • Fonctionnalité : Ressemble à Excel mais est une "base de données", où chaque ligne est une fiche. Les colonnes ont des types de données spécifiques (liens, sélecteurs, pièces jointes, dates).
      • Avantages : Création rapide de vues filtrées et segmentées ("vues" pour stagiaires, commerciaux, DG), gestion des accès, formulaires d'entrée de données (créé en "moins de 25 secondes").
      • Concept de "relations" : Possibilité de lier des entrées entre différentes tables (ex: lier des prospects à des entreprises), ce qui résout de nombreux problèmes de ressaisie et de cohérence des données. Permet de naviguer entre les données comme sur une application.
      • Permet de construire des "CRM que je me fais moi-même" et des "intranets".

      Automatisation et interconnexion :

      • Outil clé : Zapier (alternatives : Make, N8N - open source mais plus technique).
      • Fonctionnalité : Connecte différents outils pour automatiser des processus.
      • Exemple : "à chaque fois que dans Airtable il y a une nouvelle entrée dans la table entreprise alors automatiquement va dans le chat GPT demande-lui 'Tu es un expert en politique RSE...' puis prends cette convers enfin trouve la ligne dans Air Table et mets à jour cette ligne avec l'info directement ici".
      • Permet d'automatiser des notifications (Teams, Slack), des envois de mails personnalisés, la création de documents (PDF), etc.
      • L'IA "fait qu'un seul boulot" (poser la question), le no-code "fait le boulot" des tuyaux d'interconnexion.

      Interfaces (Sites web, applications mobiles/web) :

      • Outil clé : Glide (pour applications mobiles), Software (pour applications web / intranets).
      • Fonctionnalité : Permet de créer des applications mobiles ou web à partir d'une base de données existante (ex: Airtable).
      • Avantages : Ne nécessite aucune installation ni hébergement, permet de modifier l'apparence et les fonctionnalités intuitivement. "je peux modifier cette application mobile changer l'apparence changer l'info qui apparaît où et cetera".

      4. Philosophie et Positionnement de Contournement & Nocode Forgood

      Contournement :

      • Métier : "former les équipes et les individus au nos code et Alia pour leur permettre de travailler plus efficacement".
      • Ne vise pas à lancer la "prochaine start-up à la mode" mais à "gagner du temps", "digitaliser" et "fluidifier ses processus".
      • Offre de formations en présentiel, téléprésentiel, et e-learning (plateforme avec abonnement à coût accessible, réductions prochainement à 50-100€/mois).

      Accompagne aussi des publics éloignés de l'emploi.

      • Vision du no-code : une "compétence complémentaire" valorisable sur le marché de l'emploi ("je suis chargé de communication... je me forme quelques jours au nocode je sais digitaliser automatiser dans mon métier et ça m'apporte quelque chose").
      • Met en garde contre le "miroir aux alouettes" et le "charlatanisme" liés au no-code comme "nouveau métier".

      Nocode France :

      • "La communauté la plus active au monde dans le Nocode qui est française".
      • Composée de 15 000 personnes qui "s'entraident bénévolement", offrant conseils et orientations.

      Nocode Forgood :

      • Mission : "donner accès aux outils no code les plus démocratiques du numérique pour rendre la vie plus simple aux assos et leur permettre de démultiplier leur impact".
      • Fait découvrir le no-code (masterclass) et surtout met en relation des associations avec des "nocodeurs et des nocodeuses engagés".
      • Approche "MVP" (Minimum Viable Product) : "commencer petit", "réaliser le plus vite possible un morceau qui fonctionne et après de l'adapter". L'objectif est d'aider les associations à "faire leur skateboard" (amorce), puis de les accompagner.
      • Projets : les nocodeurs peuvent travailler bénévolement (avec contrepartie de formations Contournement) ou à "tarif solidaire".

      5. Exemples concrets de succès

      • Les Francofolies : "15 personnes un seul informaticien". En deux jours de formation Airtable, ils ont gagné "plusieurs dizaines d'heures par semaine" notamment sur le reporting carbone.

      Ils ont aussi fait appel à une experte Ania pour des projets plus complexes, mais ont aussi décidé de ne pas "nocoder" certains processus peu chronophages.

      • La MedNum : Coopérative qui gère son sociétariat, ses projets et son organisme de formation avec Airtable (base de données) et Make (automatisation).

      Gagne "énormément de temps". Utilise aussi Notion pour la documentation interne et les ressources textuelles.

      • Wildlife Impact Network (via Nocode Forgood) : Création d'un site avec Softer et d'une galerie de projets finançables avec Airtable en deux jours.
      • Naestan (via Nocode Forgood) : Création d'un outil de pilotage et de reporting interne pour une association d'aide aux jeunes Afghans, réalisé avec CODA.
      • Nocode Forgood (interne) : Automatisation de la génération de brouillons de posts LinkedIn à partir de retours d'expérience d'associations, via Make et l'IA.

      6. Bonnes pratiques et avertissements

      • Cartographier avant de se lancer : "Une bonne pratique c'est de cartographier avant de se lancer".
      • Ne pas tout no-coder à outrance : "pas besoin de tout nous coder les meilleurs outils ça peut être de trouver des outils spécialisés". Si un processus fonctionne bien, ne pas le modifier.
      • Outils modernes et interconnectables : Privilégier les outils qui peuvent se connecter entre eux (vérifier la compatibilité Zapier ou Make). Exemple : Assoconnect est intégrable avec Zapier et Make.
      • Collaboration avec l'IT et les juristes : "appuyez-vous toujours sur l'IT sur le juridique sur les décisionnaires ne faites pas du shadow IT dans votre coin sur le nocode s'il y a des gens qui doivent être décisionnaires avec vous ça peut exposer à des risques de données mal géré et cetera de sécurité".
      • Formation : Même si le no-code est accessible, un minimum de formation est nécessaire. "Au bout d'une journée ou de 2 à 5 jours de formation les gens peuvent commencer à faire des choses".
      • Appui sur des experts externes : Recommandé pour éviter les erreurs (ex: données publiques par erreur) et structurer des projets plus complexes.
      • Coût : "Un outil no code qui se respecte est payant déjà un dans un outil de code qui se respecte est fremium". Les tarifs commencent souvent entre 15 et 30€/mois. Il faut prévoir "entre 50 et 100 € de budget mensuel" pour faire beaucoup de choses. C'est un investissement rapidement amorti.
      • RGPD et stockage des données :L'hébergement aux États-Unis n'est pas intrinsèquement non-RGPD. De nombreux outils américains sont "RGPD compliant".
      • Il est crucial de consulter un juriste pour les données sensibles.
      • "Le RGPD rappelons que c'est un process où vous vous devez faire toute une démarche de nous par exemple contournement on a tout un registre où on dit où sont stocké quelle donné et on fait gaffe régulièrement à supprimer les données qui ont plus de 3 ans".
      • Les outils no-code payants ne "vendent" généralement pas vos données, leur modèle économique étant basé sur l'abonnement. Le risque principal est lié aux exigences gouvernementales (Cloud Act, Patriot Act).
      • Migration de bases de données : Simple via l'import CSV dans Airtable (ou TimeTonic, Notion). Possibilité de synchroniser des bases existantes (ex: Excel) avec Airtable via Zapier/Make.
      • Différence Notion vs. Airtable : Notion est "plus orienté je prends des notes", gestion de "contenu riche", "espace collaboratif tout en un" (wiki, documentation interne). Airtable est centré sur la "donnée" et sa structuration.

      7. Outils de productivité IA complémentaires

      Whisper Flow : Outil de dictée vocale permettant de "dicter et ne plus taper quasiment au clavier". Reconnaissance précise de la syntaxe et de la ponctuation. Dict AI : Application mobile française et souveraine pour "prendre en note les réunions automatiquement" et générer des comptes-rendus.

      Conclusion

      Le no-code et l'IA représentent une opportunité significative pour les associations de toutes tailles d'améliorer leur efficacité opérationnelle et de se professionnaliser.

      Des organisations comme Solidatech, Contournement et Nocode Forgood jouent un rôle essentiel dans la démocratisation de ces technologies, en offrant des ressources, des formations et un accompagnement adapté, tout en soulignant l'importance de l'éthique, de la sécurité des données et d'une approche pragmatique dans leur adoption.

    1. Briefing : Réussir son projet numérique associatif

      Ce document synthétise les points clés du webinaire "[Webinaire] De l'idée à la réalisation : comment réussir votre projet numérique associatif ?", animé par Gautier Jeanzac de Pastec et une représentante de Solidatech.

      Il vise à fournir une méthodologie claire et des conseils pratiques pour les associations souhaitant entreprendre un projet numérique.

      I. Solidatech : Un partenaire pour la transformation numérique des associations

      Solidatech est présenté comme un programme de solidarité numérique créé en 2008, porté par les Ateliers du Bocage (mouvement Emmaüs). Son objectif est de "renforcer l'impact des associations par le numérique" et "renforcer votre impact à travers une meilleure utilisation du numérique".

      1. Bénéficiaires et Éligibilité :

      • Principalement les associations loi 1901, mais aussi les fondations RUP, fonds de dotation, et bibliothèques publiques.
      • L'inscription est gratuite et ouverte "quel que soit votre secteur d'activité, que aussi vous vous soyez bah voilà vous fonctionnez entièrement avec que des bénévoles ou au contraire des des centaines de salariés".
      • Plus de 42 000 associations sont déjà inscrites.

      2. Modes d'action pour accompagner les associations :

      • Faciliter l'accès au numérique :Logiciels à tarifs réduits (Microsoft, Adobe, Zoom, ainsi que des solutions françaises comme Assoctoc, Spirit, Net Explorer, Insia).
      • Matériel informatique reconditionné (par les Ateliers du Bocage) et neuf (grâce à des partenaires comme Cisco et Dell).
      • Accompagnement au développement des usages du numérique :Centre de ressources et outil d'autodiagnostic.
      • Formations (Solidatech est un organisme de formation certifié Qualiopi), webinaires thématiques mensuels.
      • Newsletters.

      Prestations de conseil sur mesure.

      Coproduction et diffusion de savoirs :Réalisation d'une étude nationale sur la place du numérique dans le projet associatif tous les 3 ans (5e édition lancée mi-avril 2025, dernière en 2022).

      II. Pastec : Expertise en conseil et développement informatique pour les projets à impact

      • Gautier Jeanzac représente Pastec, une société coopérative qui est une "agence de conseil et développement en informatique" spécialisée dans l'accompagnement de "projets à impact social et ou environnemental", travaillant "beaucoup avec des associations".

      1. Expertises Métiers de Pastec :

      • Conseil et gestion de projet / Direction technique partagée : Aide à la conception (architecture, planning) et au pilotage du développement produit.
      • Développement de produits numériques : Basé sur un cahier des charges, en "code traditionnel" ou "no code".
      • Numérique responsable : Conception de services "éco-conçus", "accessibles" et "respectueux du RGPD" (Règlement Général sur la Protection des Données).

      2. Rôle du Chef de Produit (Gautier Jeanzac) :

      Point de convergence entre la vision du client, les attentes des utilisateurs et les possibilités techniques. Aide à piloter la vie du produit en intégrant ces différentes perspectives.

      III. La formalisation du besoin : Clé de voûte du projet numérique

      La transformation numérique est définie comme "l'idée d'intégrer des technologies numériques dans l'ensemble des activités de l'association".

      1. Freins et Opportunités de la transformation numérique :

      • Freins majeurs dans les associations : "le coût, le temps et les compétences".
      • Opportunités : "améliorer l'efficacité opérationnelle, moderniser des services pour les bénéficiaires, renforcer l'impact des associations".
      • Exemple : Numérisation de processus administratifs chronophages (ex: suivi des bénévoles via fichiers Excel) pour gagner du temps et "passer ce temps-là du coup on peut le passer sur ces métiers".

      2. Du besoin métier au produit numérique :

      • Identifier un besoin métier : Souvent issu d'un "point de douleur" (ex: "processus d'adhésion très complexe", "beaucoup de saisies manuelles").
      • Question clé : "où est-ce qu'on dépense trop d'énergie et de temps ?"
      • Rédiger un cahier des charges : Document "de synthèse en fait de tous ces besoins", permettant de "prendre du recul avant de vous lancer dans la dans le développement".
      • C'est "le document qui vous permet d'expliquer et d'expliciter le ou les objectifs à atteindre de votre service ou de votre outil numérique".
      • Sert de référence pour le développement, que ce soit avec un prestataire ou en interne.

      3. Structure recommandée d'un cahier des charges (6 parties) :

      • Contexte : Qui est l'association, son histoire, ses objectifs, l'origine du besoin numérique (passé, présent, futur du projet).
      • Lexique : Définir les termes et acronymes propres à l'association pour une compréhension externe.
      • Technique : Préciser les éléments techniques existants (langage, hébergement, développeur précédent, contraintes spécifiques, migration des données, contrat de maintenance, RGPD).
      • Règles d'utilisation (User Stories) : Décrire les interactions des utilisateurs avec le service sous forme de "petites histoires". Ex: "En tant que bénévole de l'association, je souhaite pouvoir me connecter à un espace membre qui m'indique depuis combien de temps je suis bénévole". Inclure le résumé, les détails et les critères d'acceptation.
      • UX (User Experience) et UI (User Interface) :UX : "la capacité à concevoir ce qu'on un parcours utilisateur" (comment l'utilisateur interagit avec le logiciel et ses différentes étapes).
      • UI : "l'interface utilisateur" (ce que l'utilisateur va voir, l'aspect visuel, les maquettes, les wireframes - schémas d'écran).
      • Annexes : Tout document complémentaire pertinent.

      4. Exemple de CRM pour une association d'entrepreneuriat :

      Le cahier des charges a permis de suivre les interactions avec les parties prenantes. Le besoin de CRM est venu d'un "audit qui a fait remonter le besoin". Illustration concrète des user stories et des contraintes techniques (intégration dans un SI global, respect RGPD).

      IV. La construction du produit : Intégrer les utilisateurs et itérer

      La phase de construction insiste sur l'importance d' "intégrer en fait les équipes les bénévoles vos utilisateurs et vos utilisatrices dans la réflexion de ce à quoi va ressembler votre produit".

      1. Mener des actions terrain (Interviews Utilisateurs) :

      • Objectif : Comprendre les points de douleur et les besoins des utilisateurs (ce qu'ils veulent, ce qu'ils pensent de l'existant, comment améliorer).
      • Cinq grandes étapes :Préparation efficace : Définir les informations à recueillir et le "fil rouge" de l'entretien.
      • Début d'entretien : Poser le cadre, mais surtout insister sur le fait qu'il n'y a "pas de bonnes réponses" pour encourager l'honnêteté.
      • Pendant l'entretien : Parler "20%" et écouter "80% du temps". Privilégier les "questions ouvertes".
      • Après l'entretien : Traduire les besoins en fonctionnalités.
      • Priorisation : Développer en priorité ce qui "coûte le moins de temps et qui apporte le plus pour mes utilisateurs" (les "victoires rapides").

      2. Méthodologie Agile et "Petits Pas" :

      • Mettre l'utilisateur au cœur de la réflexion.
      • Commencer par un "plus petit lot possible de fonctionnalité à développer" (un "skateboard" avant la "voiture").
      • Processus itératif : Proposer de nouvelles fonctionnalités, les utilisateurs les utilisent, remontent de nouveaux besoins, et le cycle recommence.
      • Exemple : Formulaire d'adhésion simple (nom, email) puis ajout progressif de champs (adresse, région) basés sur les retours des équipes.
      • Avantages de l'approche itérative : Développer uniquement les fonctionnalités demandées, éviter le budget inutile, créer des outils adaptés aux besoins.
      • Observation d'usage : Observer physiquement les utilisateurs pour comprendre leurs interactions et ajuster le produit.

      V. Le développement : Code traditionnel vs No Code Deux grandes familles de développement sont présentées :

      1. Code traditionnel :

      Avantages : Peu ou pas de limites, possibilité de "tout faire" pour répondre à des besoins très précis. Inconvénients : Plus long et donc plus cher (coût basé sur le temps de développement), "complicité technique" qui rend la compréhension difficile pour les non-initiés (nécessite un bon partenaire pour "vulgariser les points techniques").

      2. No Code :

      • Définition : Outils pour créer des applications ou sites sans coder, comme des "Legos" (assemblage de blocs).
      • Avantages : "Rapidement mettre une solution en place", itérer vite, coût "un petit peu moins cher".
      • Inconvénients : "Moins personnalisable", nécessite une grande vigilance sur "l'écoconception, l'accessibilité et parfois du RGPD", outils propriétaires (la solution ne vous appartient pas).

      3. Exemples d'outils No Code :

      • CRM : Monday, Airtable (attention au RGPD car hébergement aux USA, lié au Patriot Act), Grist (alternative RGPD, hébergeable où l'on veut).
      • Formulaires : Type Form, Tally (version hébergée en Europe, plus RGPD).
      • Sites vitrines : Wix, Webflow, Bubble (Canva peut être une alternative si l'association est à l'aise avec l'outil, car il existe des versions premium gratuites pour les associations).
      • Applications web : Bubble, XAR.
      • Automatisation : Make, Zapper.
      • Wireframes : wireframe.cc (gratuit, simple), Canva, Paint, PowerPoint. Pour des maquettes plus complexes : Figma, suite Adobe (Adobe Express est gratuit en version premium pour les associations).

      VI. Travailler avec une agence et derniers conseils

      Le développement d'outils numériques, qu'il soit en code ou no code, "demande du temps et des compétences techniques".

      Si une association n'a pas le temps et préfère passer par une agence, plusieurs conseils sont donnés :

      • Équipe interne dédiée au pilotage : Avec "un pouvoir décisionnel" pour faciliter les évolutions.
      • Approche collaborative et construite : Intégrer toutes les parties prenantes, surtout les utilisateurs finaux.
      • Ne pas hésiter à demander et exiger la vulgarisation : S'assurer de comprendre ce qui se passe techniquement pour pouvoir reprendre la main si besoin.
      • Adopter la stratégie des petits pas : Éviter de développer des fonctionnalités inutiles et optimiser le budget.
      • Être adaptable : Trouver le juste milieu entre la vision initiale et les retours des utilisateurs.
      • Garder du temps pour se former : Comprendre les aspects techniques du produit.

      Concernant l'utilisation de l'IA pour le développement :

      Réponse nuancée : "J'en sais rien". * Vigilance : Dépend des outils et modèles utilisés. * Prudence : Ne pas déployer des choses non maîtrisées pour éviter les erreurs ou des problèmes ingérables.

      • Ce briefing offre une feuille de route complète, de l'identification du besoin à la concrétisation du projet, en soulignant l'importance de l'écoute des utilisateurs et d'une approche itérative et adaptable.
    1. Note d'information : L'engouement des jeunes pour les soins de la peau (Skincare) et ses implications

      • Ce document de synthèse examine la tendance croissante des jeunes, en particulier la "génération Alpha" (née après 2010), à adopter des routines de soins de la peau complexes, souvent inspirées par les médias sociaux.

      Il met en lumière les motivations de cette tendance, les risques potentiels pour la santé et les mesures prises ou recommandées par les professionnels de la santé et l'industrie.

      Thèmes Principaux :

      • L'adoption précoce des routines de soins par les enfants et préadolescents : Une tendance omniprésente, alimentée par les réseaux sociaux et l'influence des pairs.

      • Les risques pour la santé dermatologique et hormonale : L'utilisation de produits non adaptés aux peaux jeunes peut entraîner irritations, allergies, et des effets synergiques potentiellement dangereux à long terme.

      • L'impact de l'industrie cosmétique et des influenceurs : Les marques ciblent spécifiquement ce nouveau public, créant des produits attrayants mais parfois inappropriés.

      • La réaction des professionnels et les tentatives de régulation : Dermatologues, cosmétologues, et pharmaciens expriment leur inquiétude et appellent à une meilleure information et à des restrictions.

      Synthèse Détaillée :

      1. L'engouement généralisé pour le "Skincare" chez les jeunes

      • Une routine complexe dès le plus jeune âge : Charlotte, 12 ans, décrit une routine typique de "skincare" incluant nettoyage, lotion, masques et crèmes hydratantes. Elle affirme que "90% [des filles de sa classe] en font [du skincare], il y en a même qui en font beaucoup plus que moi qui mettent énormément de produits".

      • Influence des pairs et des réseaux sociaux : Charlotte a découvert cette tendance par ses amis et "en regardant internet aussi il y avait plein de gens qui commençaient à parler de ça". TikTok est devenu "un réseau où l'on expose sa skinc routine sa collection de crème et de lotion". La génération Alpha "copie leurs aîné influenceuses leur style leur vocabulaire".

      • Perception du "skincare" comme un jeu : À 10-12 ans, "prendre soin de sa peau c'est devenu un jeu qu'on expose".

      • Obsession pour la prévention du vieillissement : Des enfants "vantaient de la crème anti-ride persuadé que plus on commence tôt moins on aura de ride". Une fillette de 7 ans s'inquiétait de son "stock d'acide hyaluronique" qui disparaissait.

      • Stratégies d'acquisition : Pour gérer le "sacré budget" des produits, les jeunes utilisent des "techniques avec mes amis" pour obtenir des échantillons gratuits dans des grands magasins comme Globus et Manor, se faisant connaître comme "très connu" par les vendeuses.

      2. Les dangers et préoccupations des professionnels

      • Produits inadaptés aux peaux jeunes : La dermatologue pédiatre constate que "ce qu'elles utilisent ne sont pas des produits adaptés à leur peau qu'en plus d'habitude elles n'ont pas besoin de crème ni de quoi que ce soit à cet âge là".

      • Risques d'irritations et d'allergies : Des amies de Charlotte ont déjà eu "plein de boutons ou des rougeurs" suite à l'utilisation de produits. La dermatologue s'inquiète de savoir "est-ce qu'il va y avoir des irritations est-ce qu'il va y avoir des allergies est-ce que ça peut être plus grave".

      • Effet "cocktail" et perturbations hormonales : L'utilisation de multiples produits crée un "effet de cocktail" ou "synergique" où "chacun va influencer l'autre", ce qui "semble qu'à long terme ce soit plus dangereux qu'on l'avait penser au départ". Il y a une inquiétude quant à la "perturber [des] hormones à long terme".

      • Ingrédients problématiques pour les enfants :Rétinol : "Le rétinol par exemple peut irriter les peaux d'enfant". Un masque testé contenait du rétinol et un dérivé se transformant en "acide rétinoïque qui est interdit dans le domaine cosmétique".

      • Pellings à pH très acide : Peuvent provoquer "des picotements", "des rougeurs", et même "des brûlures".

      • Perturbateurs endocriniens : Certains masques en contiennent, comme le produit Skin Republic.

      • Extraits éclaircissants : Utilisés pour l'éclaircissement, alors que les jeunes n'ont pas de problèmes de tâches cutanées ("on va pas aller essayer d'éclaircir des tâches qui n'existent pas").

      • Molécules toxiques ou à effet "Botox végétal" : Le spilantol (extrait d'acmella) est "vraiment à éviter chez l'enfant" en raison de son "profil toxicologique qui n'est pas forcément très rassurant".

      • Ingrédients œstrogéniques ou corticomimétiques : Un masque "le pire" contenait de l'origan à caractère œstrogénique et des extraits à effet corticomimétique.

      • Allergènes interdits : Un masque liquide contenait un allergène parfumé ("hydroxy isoexyl 3 cycloexène carboxaldéide") désormais "interdit par la réglementation européenne et donc en Suisse aussi".

      • Masques peel-off : Contiennent des "matières plastiques" pour obtenir l'effet pelable, en plus de générer "beaucoup de déchets" avec les emballages à usage unique.

      3. Le rôle de l'industrie cosmétique

      • Ciblage des jeunes : L'industrie cosmétique voit cette génération comme "le nouveau public cible". De "nouvelles marques qui ressemblent à des bonbons naissent chaque mois".

      • Marketing trompeur : Les jeunes sont "finalement victimes des publicités puisque l'industrie cherche à agrandir son cercle de clientèle donc il faut toujours consommer plus".

      • Manque d'information : Les très jeunes filles connaissent "un rayon sur les crèmes leurs effets leurs indications mais qui n'ont pas conscience que certains contenus ne sont pas adaptés".

      • Absence de mention d'âge recommandé : "Légalement les fabricants n'en ont pas l'obligation", mais ils "réalisent maintenant que leurs produits ne sont pas toujours utilisés par le public qui était visé".

      4. Réactions et recommandations

      • Restrictions en Suède : La principale chaîne de pharmacies en Suède a décidé de "ne plus vendre certains produits au moins de 15 ans des antirides notamment", suite à l'augmentation des demandes de "produits skinc avancés" par des enfants de 8 à 10 ans. La réaction du public a été "très très nombreuses... toutes positives".

      • Appel à la prudence en Suisse : L'association des cosmétiques et détergents en Suisse a publié un communiqué précisant que "les produits cosmétiques anti-âge n'ont pas vocation à être utilisés sur des pots d'enfants" et que "les parents doivent veiller à ce que des produits cosmétiques adaptés au besoins de la peau des enfants et des adolescents soient utilisés".

      • Sensibilisation des vendeuses : Des tests réalisés par Inès et Lia (10 et 11 ans) ont montré que les vendeuses dans des enseignes comme Douglas, Kiko et Marionnaud sont désormais sensibilisées, déconseillant l'achat de produits inadaptés en raison de l'âge ("trop forte et que ça pouvait nous brûler la peau") et les mettant en garde contre "ce qu'on avait vu sur Youtube".

      • Vente libre problématique : Cependant, ces mêmes produits peuvent être achetés en "se servant directement sur l'étalage sans passer par le conseil d'une vendeuse", ce qui n'est "rien d'illégal".

      • Nécessité de ralentir la création de marques : La professeur de cosmétologie estime qu'il faut "arrêter... qu'il y ait moins de marque mais de meilleure qualité".

      • Recommandation d'éviter le "layering" : La superposition de cosmétiques ("layering") est "aberrant" même pour l'adulte car cela crée un "effet occlusif" et "accumulation qui n'est pas bon pour la peau", et "encore moins pour l'enfant".

      • Interdiction des ingrédients dangereux : Une analyse en laboratoire a révélé que 10 des 15 masques testés contenaient des "ingrédients problématiques pour des peaux jeunes" et ne devraient "pas être utilisé par des enfants ou des adolescentes", avec un cas de produit "illégal" car contenant un allergène interdit par la réglementation européenne.

      En conclusion, l'engouement des jeunes pour le "skincare" est une tendance préoccupante en raison des risques potentiels pour leur santé dermatologique et hormonale, liés à l'utilisation de produits inadaptés et à des pratiques excessives.

      L'industrie est invitée à davantage de responsabilité, et les parents sont appelés à une vigilance accrue, tandis que des mesures restrictives, comme celles prises en Suède, pourraient être envisagées plus largement.

    1. Synthèse Détaillée : Comprendre et Combattre les Préjugés

      Ce document explore en profondeur la nature des préjugés, des stéréotypes et de la discrimination, leurs origines, leurs manifestations subtiles et leurs impacts.

      Il propose également des stratégies concrètes pour les identifier, les mesurer et les réduire, soulignant l'importance de la conscience de soi et de l'éducation.

      1. Distinction des Concepts : Stéréotypes, Préjugés et Discrimination

      Le document établit une distinction claire entre trois concepts souvent confondus :

      • Stéréotype : Défini comme "une croyance, une opinion, où l’on plaque des caractéristiques à tout un groupe social".

      Ces croyances peuvent être personnelles ou, plus souvent, "des croyances partagées qu'on a apprises sans s’en rendre compte, via nos proches, nos environnements sociaux, les médias, etc."

      Les stéréotypes peuvent être "positifs" (ex: "les garçons sont généralement doués en maths") ou "négatifs" (ex: "les filles seraient moins douées en maths").

      Il est crucial de noter que les stéréotypes ne sont pas seulement descriptifs mais aussi prescriptifs, créant des attentes.

      • Préjugé : Représente "l’émotion, le sentiment, les attitudes négatives qu’on peut avoir vis-à-vis d’un groupe social", souvent associées à des stéréotypes.

      Les préjugés sont renforcés dans des contextes où l'on se sent menacé par un groupe, que ce sentiment soit fondé ou non.

      Une personne confrontée à une réalité qui contredit ses stéréotypes peut générer une "réaction négative : un préjugé."

      • Discrimination : Désigne des "comportements spécifiques où l’on traite différemment les individus selon leur groupe social perçu".

      Cela peut se manifester par des "remarques déplacées, ou encore ignorer ou désavantager volontairement quelqu’un."

      • Il est souligné que ces concepts ne sont pas toujours interconnectés de manière linéaire :

      "On peut avoir connaissance des stéréotypes, même les plus négatifs, sans que cela génère en nous des préjugés.

      On peut aussi avoir des préjugés, sans que cela aboutisse à des comportements discriminants."

      La conscience de ses propres préjugés peut même permettre de s'ajuster pour éviter les comportements discriminants.

      2. Le Masque des Préjugés et les Stratégies de Dissimulation

      Les préjugés sont souvent dissimulés ou exprimés de manière détournée, car "nos préjugés avancent masqués."

      • Humour de dénigrement : Une stratégie courante est l'utilisation de l'humour, où "une remarque sexiste, suivie d'un « Oh mais ça va, c'est une blague ! »" sert de "couverture" pour "rendre socialement plus acceptable l’expression de préjugés, tout en pouvant se défendre qu’il s’agit là de préjugés."

      • Rhétorique pseudodémocratique : Dès les années 40, Adorno et ses collègues ont étudié cette stratégie où les personnes "préfèrent atténuer l’expression de leur préjugé en utilisant le conditionnel, ou des conjonctions comme mais."

      L'exemple classique est "Je ne suis pas raciste, mais..." ou "Ce n'est pas que j'ai des préjugés, mais...". Ces discours à forts préjugés sont "déguisé[s] sous l’apparence d’ouverture et de tolérance."

      • Déni et sous-estimation : Paradoxalement, "on peut avoir tendance à sous-estimer ses propres préjugés, à croire qu’on n’en a pas, et paradoxalement, c'est ce qui peut alimenter des stéréotypes et conduire à des discriminations."

      Les personnes ayant des préjugés se répètent, à elles-mêmes et aux autres, "ne pas en avoir, comme s’il suffisait de dire Je ne suis absolument pas raciste. Pour annuler le reste du propos."

      3. Préjugés Implicites et Leurs Origines

      Le document introduit la notion de préjugés implicites : "Oui. Et on parle dès lors de préjugés implicites."

      • Nature des préjugés implicites : Contrairement aux préjugés explicites (conscients), les préjugés implicites sont "inaccessibles, automatiques, omniprésents, et influencent d’une manière unique nos jugements et comportements."

      Ils agissent "comme des tâches en arrière plan" de notre conscience, influençant nos interactions sans que nous nous en rendions compte.

      "Autrement dit, on peut sincèrement penser ne pas avoir de préjugés et pourtant en avoir en toile de fond."

      • Sources des préjugés : Qu'ils soient implicites ou non, les stéréotypes et préjugés sont "construits, appris très tôt dès notre enfance auprès de nos parents, de notre famille, de nos environnements sociaux, à partir de certains évènements vécus, ou encore à travers les médias de masse."

      L'exemple donné est celui de la télévision dans les années 80, où "plus les gens regardaient la télévision, plus leurs préjugés racistes et sexistes se retrouvaient fortifiés" à force de voir des "représentations stéréotypées."

      4. Les Microagressions : Manifestations Subtiles de la Discrimination

      Le document met en lumière les "microagressions" comme des "comportements plus subtils et bien plus présents au quotidien."

      Ces comportements, bien que peu visibles, ont des conséquences préjudiciables lorsqu'ils sont répétés :

      • Exemples : "faire des blagues sexistes, avoir tendance à couper la parole et à la monopoliser, mépriser l’identité d’une personne, par exemple en la mégenrant, ne pas tenir compte de l’avis d’une personne en raison de sa couleur de peau, de son genre, orientation sexuelle, handicap, etc."

      • Impact : Elles entraînent une "diminution de l’estime personnelle, dépression, anxiété, sentiment d’impuissance, culpabilisation" chez les victimes, et contribuent à "maintenir et renforcer les inégalités dans la société."

      5. Mesurer les Préjugés : Les Méthodes des Psychologues

      Les psychologues utilisent diverses méthodes pour étudier les préjugés, notamment :

      • Questionnaires d'auto-évaluation : Simples, mais sujets au "biais de désirabilité sociale", où les gens modifient leurs réponses pour être bien perçus. L'anonymat peut atténuer ce biais.

      • Observation comportementale : Des situations mises en scène permettent d'observer les comportements des gens sans qu'ils sachent qu'ils sont testés.

      L'exemple donné est celui de l'aide apportée à des personnes hétérosexuelles ou homosexuelles, montrant un "pourcentage plus élevé d’aide dans la condition “hétérosexuel”."

      • Mesures physiologiques : Fréquence cardiaque, activité électrique du cerveau (IRM fonctionnelle).

      Il est mentionné que "lorsqu’on présente à des personnes blanches sous IRM fonctionnelle des photos d’hommes noirs, ils auront une réponse émotionnelle négative, ce qui n’est pas le cas devant la photo d’un homme blanc," interprétée comme une "perception de menace."

      • Tests d'association implicites (IAT) : Mesurent le temps de réaction entre des catégories de groupes sociaux et des mots à valence positive ou négative, révélant des "associations automatiques, des attitudes implicites."

      • La combinaison de plusieurs méthodes permet de "capturer nos préjugés à plusieurs niveaux, des plus explicites aux plus implicites."

      6. Les Motivations Derrière la Dissimulation des Préjugés

      Le conflit intérieur entre le désir d'exprimer des émotions et le maintien de valeurs contradictoires explique pourquoi les préjugés sont cachés. Deux types de motivations sont identifiés :

      • Motivations internes : Liées aux "valeurs personnelles, telles que l’altruisme, la tolérance ou l’égalité."

      Ceux qui sont animés par ces motivations "lutter[ont] contre eux [leurs préjugés]" et "travailler[ont] sur moi-même, en diminuant mes propres préjugés de manière autonome." Ils ont effectivement de plus faibles préjugés.

      • Motivations externes : Dictées par "des motifs extérieurs, sociaux, normatifs," comme la "crainte par exemple d’être socialement mal perçus" (biais de désirabilité sociale).

      Ces personnes "tenter[ont] de résoudre ce conflit en évitant d’exprimer mes préjugés sans vraiment travailler à les diminuer."

      Leurs préjugés sont généralement plus forts et ils les déguisent par "des blagues dégradantes, des rhétoriques pseudo-démocratiques ou diverses justifications tel que des arguments naturalistes : « ce sont les faits », « c’est la biologie », « c’est la nature »."

      7. L'Impact des Normes Sociales et de la Rhétorique Politique

      Le document aborde la manière dont les normes sociales influencent l'expression des préjugés :

      • Changement des normes : Si les normes sociales deviennent plus permissives envers l'expression des préjugés, "les personnes qui jusqu’ici cachaient leurs préjugés risquent de les exprimer davantage, parfois avec force, comme un barrage qui vient de céder."

      • L'effet d'encouragement ("effet Trump") : La rhétorique de figures politiques, comme celle de Donald Trump en 2016, "participe à banaliser l’expression de préjugés, à les rendre comme socialement plus acceptable."

      Cela déplace les normes sociales, autorisant "les personnes qui jusqu’ici réprimaient leurs préjugés selon des motivations externes" à "exprimer le fond de leur pensée, parfois avec grande violence."

      8. L'Héritage des Stéréotypes et Préjugés : L'Exemple de "Couleur Café"

      Le document utilise la chanson "Couleur Café" de Serge Gainsbourg pour illustrer comment les stéréotypes implicites et les préjugés coloniaux peuvent être ancrés dans la culture populaire :

      • Interprétation contrastée : Alors que pour beaucoup, c'est une chanson qui "célèbre la diversité," pour les personnes de couleur, elle "réduit [notre identité] à une couleur et à un produit colonial, le café."

      • Clichés coloniaux : La chanson réactive "tout un imaginaire et des préjugés coloniaux," associant "femmes noires, produits coloniaux et sexualité."

      Le texte explique l'origine de l'image de la femme métisse "dansante, au service de l’homme blanc," créée par la "propagande coloniale" pour attirer de jeunes colons.

      • Persistance et déconstruction : Aujourd'hui, les femmes noires et métisses "essayent de se débarrasser de ce cliché," ce qui est difficile car "les gens pensent que c’est un cliché positif."

      Le document appelle non pas à la censure, mais à "écouter les paroles et essayer de comprendre l’histoire des symboles et des préjugés," utilisant la chanson comme un "outil parfait pour analyser les stéréotypes et faire de la pédagogie antiraciste."

      9. Stratégies pour Réduire et "Hacker" les Préjugés

      Malgré leur omniprésence, il est affirmé que les préjugés "peuvent être diminués, voire hackés, y compris quand ils sont implicites."

      • Auto-régulation et reconnaissance : "Apprendre à reconnaître ses préjugés, à ne pas les nier, sans se juger sévèrement," en voyant cela comme une "occasion de les travailler pour s’en débarrasser."

      Avec l'entraînement, cela peut devenir automatique.

      • Aider autrui : En évitant les jugements sévères, "poser des questions, sur ses émotions, l’amener à prendre conscience par lui-même que certaines attitudes et comportements peuvent être problématiques."

      • Développer des valeurs : Cultiver des "valeurs d’égalité et de tolérance de manière autonome," issues de motivations internes.

      • Prise de perspective et empathie : "Imaginer le monde du point de vue d’une autre personne, se mettre à sa place," par l'écoute de témoignages ou la fiction.

      • Éviter le déni des inégalités : Refuser la croyance que "les préjugés et les discrimination n’auraient plus vraiment cours," car cela "favorise les préjugés" en rendant aveugle à leur gravité et aux microagressions. Préférer une "approche multi culturelle qui valorise les différences."

      • Environnements diversifiés et inclusifs : Favoriser dès l'enfance des "environnements sociaux diversifiés et inclusifs" (théorie du contact intergroupe).

      • Représentations positives dans les médias : Promouvoir une meilleure image des divers groupes sociaux.

      • Éviter les cadres compétitifs : Limiter les situations qui renforcent le clivage "nous contre eux."

      • Programmes de sensibilisation et de formation : Dans les écoles et sphères professionnelles, "sensibiliser à la diversité, en expliquant ce que sont les stéréotypes, les préjugés, et les moyens de lutter contre," et "exposer des récits contre-stéréotypés, de proposer des prises de perspectives."

      • En résumé, le document offre un aperçu complet de la complexité des préjugés, allant de leur définition conceptuelle à leurs manifestations les plus subtiles, et propose des voies claires pour leur réduction individuelle et sociétale.

    1. Chapter 5: Identifying Quality Indicators: Ensuring Excellence in Early Childhood Education Programs Mary Beth Boettcher, MSEd Course Competency: Identify quality indicators in early childhood education programs Learning Objectives: Understand and articulate the principles of developmentally appropriate practices (DAP) Explain the accreditation process and its importance in maintaining high standards of quality in early childhood programs Explain how YoungStar criteria are used to assess and improve the quality of childcare programs Understand the role of environmental rating scales (ERS) in guiding improvements to early childhood education environments 5.1 Introduction To ensure that early childhood education programs provide the best possible environment for young learners, it is important to not only recognize but also understand the quality indicators that define exceptional early childhood settings. These indicators, which span across various domains such as curriculum, teacher-child interactions, family engagement, and physical space, serve as the foundation for creating environments where children can thrive. This chapter will guide you through the quality indicators so that we can ensure that each child has access to an environment that promotes their growth and well-being. 5.2 Developmentally Appropriate Practices Developmentally appropriate practice (DAP) is a teaching approach in early childhood education that focuses on meeting children where they are developmentally, contextually, and individually. Here’s a simple breakdown to help you see it from a bird’s eye view: Understanding Developmental Stages: DAP is based on the idea that children grow and learn at different rates. Educators use their knowledge of child development to create activities that are suitable for the age and stage of each child. Individual Needs and Interests: Every child is unique, with their own strengths, interests, and needs. DAP encourages teachers to get to know each child and tailor their teaching methods to support each child’s individual journey. Creating Engaging Learning Experiences: DAP emphasizes making learning fun and engaging. Activities are designed to be hands-on and interactive, helping children explore and discover through play and exploration. Holistic Development: DAP supports all areas of a child’s development—cognitive (thinking), social (interacting with others), emotional (understanding and expressing feelings), and physical (movement and coordination). Responsive Teaching: Teachers using DAP are flexible and responsive. They observe children closely and adjust their teaching strategies to better support each child’s learning and development. In essence, DAP is about creating a nurturing and supportive environment where every child can thrive and develop a love for learning. “Educators who engage in developmentally appropriate practice foster young children’s joyful learning and maximize the opportunities for each and every child to achieve their full potential” (National Association for the Education of Young Children, DAP Position Statement, n.d.). The National Association for the Education of Young Children (NAEYC) defines developmentally appropriate practice (DAP) as methods that promote each child’s optimal development and learning through a strengths-based, play-based approach. DAP emphasizes creating joyful, engaged learning experiences that are tailored to the individual needs, cultural backgrounds, and developmental stages of each child. It supports educators in making intentional, informed decisions to foster children’s growth across all domains—cognitive, social, emotional, and physical. 1. https://www.naeyc.org/resources/position-statements/dap/contents The three core considerations of developmentally appropriate practice (DAP), as outlined by the National Association for the Education of Young Children (NAEYC), are described in Table 5a below. Table 5a: Three Core Considerations Three Core Considerations of Developmentally Appropriate Practice Commonality in Child Development and Learning Understanding what is generally true about how children develop and learn at different ages and stages. This includes recognizing patterns of growth in all developmental domains—cognitive, social, emotional, and physical—based on research and child development theories. Individuality of Each Child Recognizing that each child is unique, with their own interests, abilities, and developmental progress. Educators must observe and assess children to tailor experiences that meet their specific strengths, needs, and learning styles. Cultural and Social Context Acknowledging that a child’s development is influenced by their family, culture, community, and lived experiences. Teachers must create inclusive environments that respect and reflect diverse backgrounds while ensuring equitable learning opportunities for all children. By considering these three factors, educators can implement practices that truly support the needs of every child in a developmentally appropriate way. Educators that engage in developmentally appropriate practices foster joyful learning, which helps to maximize each child’s full potential. Children are born eager to learn and as Figure 5a depicts, the child has made a connection to reading and exploring his grandmother’s books and learning materials. Figure 5a: Child playing Additional Resources DAP Video 1 created by MBB using an AI source Unlocking Young Minds: DAP Video 1 Unlocking Young Minds: DAP Video 2 NAEYC Resources: The National Association for the Education of Young Children (NAEYC) offers a wealth of information on DAP, including position statements, articles, and guidelines. Their website is a great starting point for understanding the principles and applications of DAP12. Reflect How do the three core considerations of developmentally appropriate practice (DAP)—commonality, individuality, and cultural context—show up in your current or future work with children? Can you think of a time when considering one of these helped support a child’s development? 5.3 Accreditation Accreditation in early childhood education is a voluntary process through which programs demonstrate their commitment to high-quality standards that promote the well-being and development of young children. It involves an in-depth evaluation of various aspects of a program, including its curriculum, teaching practices, staff qualifications, and environment. Achieving accreditation ensures that a program meets or exceeds established benchmarks, providing families with confidence that their children are receiving the best care and educational experiences. There are a variety of accrediting bodies in early childhood education in addition to the two described below. NAEYC Accreditation The National Association for the Education of Young Children (NAEYC) is a professional organization that sets high standards for early childhood education programs. NAEYC accreditation ensures that early childhood programs provide high-quality care and education. It shows that a program meets rigorous standards in areas like curriculum, teaching, health, safety, and family engagement. The Accreditation Process Self-Study: Programs start by evaluating their own practices against NAEYC standards. Application: They submit an application to NAEYC, showing their commitment to meeting these standards. Site Visit: NAEYC sends trained assessors to visit the program, observe classrooms, and review documentation. Decision: Based on the visit and the program’s documentation, NAEYC decides whether to grant accreditation. Benefits of Accreditation Quality Assurance: Accreditation confirms that the program provides a safe, nurturing, and effective learning environment. Continuous Improvement: Accredited programs commit to ongoing improvement and professional development. Trust and Recognition: Families can trust that accredited programs meet high standards, and programs gain recognition for their quality. Early Learning Program Accreditation | NAEYC As you can see, NAEYC accreditation is a way for early childhood programs to demonstrate their dedication to providing excellent care and education for young children. In addition to NAEYC, several other organizations offer accreditation to ensure high-quality standards in early childhood education. These accrediting bodies assess programs based on research-based best practices, emphasizing child development, curriculum, teacher qualifications, and family engagement. National Association for Family Childcare (NAFCC) Accreditation The National Association for Family Child Care (NAFCC) provides accreditation for home-based childcare providers. It ensures that family childcare homes meet high standards of care, learning, and professionalism. The Accreditation Process Self-Study & Application: Providers assess their program and submit an application. Observation Visit: A trained observer evaluates interactions, learning materials, and the home environment. Accreditation Decision: Providers meeting NAFCC’s high-quality standards receive accreditation. Benefits of NAFCC Accreditation Validates the quality of family childcare programs. Enhances professional credibility and career growth. Provides families with assurance of a nurturing and educational home-based setting. Accreditation from organizations like NAEYC, NAFCC, and others ensures that early childhood education programs maintain high-quality standards that promote child development, safety, and learning. These accreditations give families confidence in the care their children receive while encouraging programs to engage in continuous improvement and professional excellence. Additional Resources View on video on NAEYC accreditation: NAEYC Accreditation. A: NAEYC. (2019, October 15). NAEYC accreditation [Video]. YouTube. All rights reserved. https://www.youtube.com/watch?v=zjMumYJl4Og Reflect Why do you think some early childhood programs choose to pursue accreditation while others do not? How might accreditation impact a family’s decision when choosing a care or education program? 5.4 YoungStar YoungStar is Wisconsin’s childcare quality rating and improvement system. It is designed to help providers improve the quality of their business and program practices. It evaluates and rates childcare programs to help parents choose the best options for their children. YoungStar – Wisconsin’s Child Care Quality Rating and Improvement System YoungStar has a website where parents can search for childcare called Child Care Finder. The goal of the website is for parents to have access to high-quality childcare, so parents can make informed childcare decisions and identify quality standards that meet the unique needs of their children and families. Youngstar also helps to support Wisconsin’s early educators by offering a variety of low-cost or free training programs covering key topics in early childhood education. The goal with this and technical assistance is to improve the quality of childcare in Wisconsin. How Does It Work? YoungStar is a Quality Rating System: Childcare programs are rated on a scale from 1 to 5 stars, with 5 stars indicating the highest quality. These ratings are based on several factors, including the learning environment, staff qualifications, and business practices. Parents can see at a glance how a particular program is meeting the quality standards. Assessment: Programs undergo a comprehensive assessment to determine their rating. This includes observations and reviews of their practices and policies. Each provider is rated around four important areas of care: The childcare staff’s education and training The learning environment and curriculum The program’s business and professional practices The child’s health and well-being Improvement Support: YoungStar provides resources, training, and technical assistance to help childcare providers improve their quality. This support helps programs move up the rating scale. YoungStar For Providers – Rating Criteria and Tips for Achieving Highest Possible Rating Why Does It Matter? High-quality childcare positively impacts children’s development, including their cognitive, social, and emotional well-being. See the benefits for both parents and providers in Table 5a below. Table 5b: YoungStar Benefits Benefits for Parents and Providers For Parents YoungStar ratings make it easier for parents to find high-quality childcare that fits their needs. The ratings provide a clear, objective measure of a program’s quality. For Providers Childcare providers receive guidance and support to enhance their services. This can lead to better outcomes for children and increased trust from families. In Wisconsin, YoungStar is a valuable tool for both parents and childcare providers, promoting high standards and continuous improvement in early childhood education. Additional Resources YoungStar101 PP Find Your Local YoungStar Office 5.5 Environmental Rating Scales Environmental rating scales (ERS) are standardized tools designed to evaluate various aspects of early childhood settings, such as classrooms and child care centers. They help ensure that these environments are conducive to children’s learning and development. What Are the Types ERS? Infant/Toddler Environment Rating Scale (ITERS): Used for settings with children from birth to 2.5 years old. Early Childhood Environment Rating Scale (ECERS): Used for preschool and kindergarten settings, typically for children aged 2.5 to 5 years. School-Aged Care Environment Rating Scale (SACERS): Used for programs serving school-aged children1. Remove this. It is covered by reference below. Family Child Care Environment Rating Scale (FCCERS): Used for home-based childcare settings. What Do They Measure? Early Childhood Environment Rating Scale®, Third Edition | Environment Rating Scales® ERS tools assess various components of the learning environment, including the following: Space and Furnishings: The physical setup and materials available such as indoor space; furnishings for care, play, and learning; room arrangements for play and learning; space for privacy, child-related display; space for gross motor play; and gross motor equipment Personal Care Routines: Meals/snacks, toileting/diapering, health practices, and safety practices Language and Literacy: Opportunities for language development and literacy activities such as helping children expand vocabulary, encouraging children to use language, staff using books with children, encouraging children’s use of books, and becoming familiar with print Learning Activities: Variety and appropriateness of activities offered such as fine motor, art, music and movement, blocks, dramatic play, nature/science, math materials and activities, math in daily events, understanding written numbers, promoting acceptance of diversity, and appropriate use of technology. Interactions: Quality of interactions between children and teachers such as supervision of gross motor, individualized teaching and learning, staff-child interaction, peer interaction, and discipline. Program Structure: Daily schedule and organization such as transitions and waiting times, free play, whole-group activities for play and learning, daily schedule, and balance of activities. Why Are They Important? Quality Assurance: ERSs provide a reliable way to measure the quality of early childhood environments, ensuring they meet high standards. Guidance for Improvement: The results from ERS assessments help educators identify strengths and areas for improvement, guiding them to enhance their programs. Support for Development: High-quality environments, as measured by ERS, support children’s overall development, including their cognitive, social, emotional, and physical growth. As you can see, environmental rating scales are valuable tools that help ensure early childhood education environments are high-quality and supportive of children’s development. Additional Resources Environmental Rating Scales ECERS – Third Edition ITERS-3 SACERS-U FCCERS-3 Relationship between ECERS and Child Outcomes 5.6 Conclusion In conclusion, this chapter has provided a comprehensive overview of the essential quality indicators in early childhood education programs. By understanding and implementing developmentally appropriate practices (DAP), recognizing the importance of accreditation, utilizing the YoungStar criteria, and applying environmental rating scales (ERS), educators can significantly enhance the quality of early childhood education environments. These practices and standards ensure that programs are not only safe and nurturing but also developmentally appropriate, fostering the holistic development and well-being of young children. As you move forward, applying these principles will help create enriching and supportive learning experiences that lay a strong foundation for children’s future success. Learning Activities 5.7 References National Association for the Education of Young Children. (n.d.). Developmentally appropriate practice (DAP) position statement. NAEYC. https://www.naeyc.org/resources/position-statements/dap/contents National Association for the Education of Young Children. (n.d.). Early learning program quality assessment & accreditation. NAEYC. https://www.naeyc.org/accreditation/quality-assessment-and-accreditation National Association for Family Child Care. (2024). About us. https://nafcc.org/about-us/ UNC-Chapel Hill. (n.d.). Early Childhood Environment Rating Scale®, Third Edition. Frank Porter Graham Child Development Institute: Environment Rating Scales. https://ers.fpg.unc.edu/scales-early-childhood-environment-rating-scale-third-edition.html Wisconsin Department of Children and Families. (n.d.). YoungStar. https://dcf.wisconsin.gov/youngstar Wisconsin Department of Children and Families. (n.d.). YoungStar for providers. dcf.wisconsin.gov. https://dcf.wisconsin.gov/youngstar/providers Images: “untitled” by Mary Beth Boettcher is used with permission. Previous/next navigation Previous: Chapter 4: Exploring Regulatory Requirements: Early Childhood Education Programs in Wisconsin Next: Chapter 6: Summarizing the Responsibilities: Early Childhood Education Pr

      Well laid out/easy to follow.

    1. Synthèse et Analyse Approfondie des Cancers Professionnels et de leur Invisibilité en France

      Ce document de synthèse explore les multiples facettes de l'invisibilité des cancers professionnels en France, s'appuyant sur les travaux du Giscope (Groupe d'Intérêt Scientifique de recherche sur les cancers professionnels) en Seine-Saint-Denis, notamment les recherches d'Anne Marchand, sociologue et historienne, et les commentaires de Nathalie Bajos.

      Il met en lumière les mécanismes institutionnels, scientifiques, sociaux et culturels qui contribuent à cette invisibilité, malgré une prévalence significative et des conséquences humaines et sociales dramatiques.

      1. Le Cloisonnement Historique et Institutionnel entre Santé au Travail et Santé Publique

      • Un thème central est le cloisonnement historique et persistant entre l'espace du travail et l'espace de vie en matière de santé. Ce cloisonnement, analysé par l'historien Thomas Lerou, a conduit à "l'effacement progressif du corps ouvrier dans les préoccupations sanitaires et politiques" dès les 18e et 19e siècles. Il a créé une séparation artificielle entre l'hygiène industrielle et l'hygiène publique, cette dernière devenant "l'hygiène d'une partie seulement du public ignorant ce qui se déroule dans l'espace de travail".

      Cette dichotomie a des conséquences majeures :

      • Approche fragmentée de la santé : Elle empêche de "penser la santé des individus et des populations dans leur globalité" et "laisse dans l'ombre de nombreux facteur d'inégalité sociale".
      • Campagnes de prévention inadaptées : Les campagnes de prévention contre le cancer sont "exclusivement centrées (...) sur la modification des comportements dits individuels", ignorant le rôle des conditions de travail et la responsabilité de l'État et des employeurs. Cela conduit à une approche qui "pointe la responsabilité des seuls individus" tout en laissant dans l'ombre les "cancérogènes présents dans le monde du travail".
      • Angle mort de la recherche en santé publique : Le travail est souvent "un angle mort des approches en santé", comme si les lieux de travail n'étaient pas aussi des lieux de vie où l'on passe une grande partie de son temps.

      • L'Épidémie Cachée : La Sous-Estimation et la Sous-Déclaration des Cancers Professionnels

      • Les sources révèlent une sous-estimation et une sous-déclaration massives des cancers d'origine professionnelle, contrastant avec l'augmentation constante de l'incidence du cancer en France (doublée depuis les années 1990).

      • Disparité Chiffrée : En 2023, seules 1452 reconnaissances de cancers professionnels ont été enregistrées, majoritairement liées à l'amiante. Or, les estimations épidémiologiques consensuelles indiquent que "4 à 8 % des nouveaux cas de cancer seraient d'origine professionnelle", soit "jusqu'à 34 644 cas par an". Cette énorme divergence crée un "phénomène un peu circulaire : moins il y a de cancer professionnel reconnus moins les personnes atteintes de cancer seront en mesure de penser le lien entre leur travail et leur maladie moins elles le déclareront en maladie professionnelle".

      • Exposition Généralisée : L'étude Sumi révèle que "11 % des salariés en moyenne des secteurs publics et privés (...) sont exposés à au moins un cancérogène dans leur activité habituelle de travail". Ces expositions sont fortement inégalitaires, touchant particulièrement les ouvriers qualifiés de l'industrie automobile (90% exposés), les intérimaires, et les jeunes de moins de 25 ans.
      • Polyexposition : La "poliexposition", c'est-à-dire l'exposition simultanée ou successive à différents cancérogènes, "démultiplie le risque de contracter un cancer". Un exemple frappant est celui d'un homme exposé à 17 cancérogènes identifiés au cours de son parcours professionnel.
      • Longue Latence : Le caractère différé des effets des cancérogènes (20 à 50 ans après l'exposition) rend le lien causal difficile à établir pour les victimes et le corps médical. De plus, il est "impossible scientifiquement et médicalement de distinguer un facteur sur l'autre dans sa survenue" (ex: amiante vs tabac pour le cancer du poumon).

      • Les Mécanismes d'Invisibilisation des Cancers Professionnels

      • Plusieurs facteurs, imbriqués et complexes, contribuent à cette invisibilité :

      3.1. Les Données Officielles et la Prévalence de l'Amiante

      • Loupe déformante : Les chiffres de reconnaissance de l'Assurance Maladie sont le "premier facteur de cette invisibilité sociale", donnant l'impression que les cancers professionnels sont rares et majoritairement liés à l'amiante. L'amiante est "l'arbre qui cache la forêt des autres cancérogènes".
      • Maladies "signatures" et droits spécifiques : L'existence de maladies "signature" (mésothéliome) et de droits spécifiques (retraite anticipée, FIVA) pour les victimes de l'amiante a paradoxalement renforcé cette perception limitée des cancers professionnels.

      3.2. Le Cadre Juridique et Administratif : Les Tableaux de Maladies Professionnelles

      • Objet de négociation et de rapport de force : Les tableaux de maladies professionnelles, créés par le Code de la Sécurité Sociale, sont le "résultat de négociation entre représentant de syndicat de salariés et représentant de syndicat d'employeur". Chaque terme choisi est le fruit de "rapports de force", ouvrant ou fermant les conditions de reconnaissance.
      • Restrictions et obsolescence : Ces tableaux sont des "objets mouvants du droit" mais leur contenu est souvent "très en deçà des connaissances scientifiques". L'exemple du cancer de la vessie lié aux amines aromatiques, dont le "titre" nécessite "un bac + 12 en chimie pour arriver à relier son travail à ce cancer", illustre la complexité et l'inadéquation.
      • Cancer du sein : un exemple d'invisibilité levée : L'absence de tableau pour le cancer du sein a longtemps masqué son origine professionnelle, le cantonnant à une "certaine fatalité". Les efforts de syndicats et de recherches ont permis de "rendre visible le facteur professionnel dans cette épidémie", montrant l'impact potentiel de l'inscription dans un tableau.
      • La "maladie négociée" : La maladie professionnelle n'est pas une catégorie médicale mais "une catégorie juridico-politique", une "maladie négociée", ce qui la rend distincte de la causalité médicale.

      3.3. L'Ignorance des Expositions et le Sentiment de Protection des Salariés

      • Manque d'information : La plupart des personnes touchées "ignoraient avoir été exposées à des substances cancérogènes". Cette ignorance peut venir de la méconnaissance des dangers de substances (comme l'amiante dans les années 80) ou de leur présence insidieuse et imperceptible (rayonnements ionisants, produits chimiques sans odeur ni effet immédiat).
      • Fausse impression de sécurité : Les salariés ont le "sentiment d'avoir été protégés" car ils imaginent que "sauf situation accidentelle tout est maîtrisé dans l'entreprise" ou que les substances dangereuses seraient interdites.
      • Dispositifs trompeurs :Valeurs Limites d'Exposition Professionnelle (VLEP) : Les VLEP sont le "fruit de compromis sociaux" et ne signifient pas l'absence de risque, car "la plupart des cancérogènes sont sans effet de seuil".
      • Surveillance Médicale Renforcée (SMR) : La SMR, bien que réservée aux salariés exposés, "ne protège en rien" mais peut créer l'illusion de protection ("Il pensait qu'on le protégeait en fait on l'endormait").
      • Équipements de Protection Individuelle (EPI) : Les EPI sont souvent inefficaces ou utilisés pour d'autres raisons (protection du produit), brouillant la perception du risque (ex: gants en salle blanche).

      3.4. Le Manque d'Intérêt pour la Déclaration et l'Indemnisation Insuffisante

      • L'horizon indemnitaire : Le "montant proposé au mieux (...) ne peut dépasser le montant mensuel des derniers salaires", ce qui est souvent "pas assez pour devenir moteur d'engagement". L'indemnisation est "forfaitaire" et très éloignée de ce qu'une victime obtiendrait devant un tribunal.
      • Dispositifs concurrents : Le dispositif d'invalidité est perçu comme "plus facile et plus rémunérateur", orientant les victimes loin de la reconnaissance en maladie professionnelle. Cette stratégie "contribue largement à rendre invisible les effets du travail sur la santé et donc les cancers professionnels" et "socialise le coût de ces maladies à l'ensemble de la collectivité" au lieu qu'il soit financé par les employeurs.
      • Signification de l'argent : L'argent de l'indemnisation revêt différentes significations culturelles. L'ignorance du principe "pollueur-payeur" fait que certains ne veulent pas "coûter davantage à la Sécu", ou ressentent de la "honte" à "assimiler cette démarche à une demande d'aide sociale". Pour les veuves, l'argent peut "brûler les doigts", générant une stigmatisation sociale.

      3.5. Le Rôle Déterminant et les Lacunes du Corps Médical

      • Formation insuffisante : Les médecins sont "très peu formés sur ce volet très spécifique du droit de la sécurité sociale" (environ "une dizaine d'heures sur leurs dizaines années d'études").
      • Difficulté à établir le lien : Formés à la causalité médicale, ils "appréhendent avec beaucoup de circonspection cette catégorie médico-administrative" et sont nombreux à refuser de rédiger un certificat médical pour des patients fumeurs, ignorant ou refusant d'admettre la présomption d'origine professionnelle.
      • Crainte du conflit : Le certificat médical initial (CMI) est un "espace de conflit" et peut entraîner des convocations devant le Conseil de l'Ordre à la demande d'employeurs. La tâche de "certifier" une origine professionnelle les éloigne de leur cœur de métier, le soin.
      • Manque d'interrogatoire : Dans l'ensemble, les médecins "interrogent très peu les activités exercées et encore moins les conditions de travail" de leurs patients.

      3.6. Les Inégalités d'Accès à la Reconnaissance et les Transformations du Travail

      • Charge de la preuve : La présomption d'origine professionnelle des tableaux est limitée, et le salarié doit souvent "apporter des preuves de la maladie", "des preuves de l'emploi" (certificats de travail, fiches de paye) et surtout "des preuves de l'activité habituelle de travail de l'activité exposante jusqu'à 40 ans en amont de la survenue de la maladie".
      • Fragilité des parcours : Cette capacité à prouver les activités exposantes est "très inégalement distribuée". Elle est plus facile pour les salariés avec une "stabilité professionnelle" ou qui peuvent compter sur un "réseau syndical ou de retraités dynamiques" (mineurs, dockers).
      • Travail morcelé et sous-traitance : La situation est "bien plus dur pour des salariés isolés", ceux "qui ont connu des parcours très morcelés" (jusqu'à 35-40 employeurs), et surtout pour les "salariés des entreprises sous-traitantes", qui sont à la fois "parmi les plus exposés et les moins reconnus". La sous-traitance, légalisée dans les années 70, est devenue un moyen de "contourner leurs obligations" et d'"externaliser des activités qui étaient les plus pénibles et les plus exposantes", renforçant l'invisibilité.
      • Intérimaires et travailleurs migrants : Les intérimaires, dont les documents ne disent "absolument rien du site sur lequel ils ont travaillé", et les "migrants travailleurs agricoles saisonniers", souvent "affectés au traitement chimique là où les risques toxiques sont les plus importants mais dont la maladie si elle survient ne sera pas visible en France ni reliée au travail", sont particulièrement vulnérables.

      3.7. Le Manque de Traçabilité Institutionnelle

      • Volatilité réglementaire : La "valse des réglementations" empêche la mise en place d'un dispositif stable garantissant une "traçabilité rigoureuse dans le temps des expositions cancérogènes" sur de longues périodes (20, 30, 40 ans).

      • Le Caractère Structurel de l'Invisibilité et l'Enjeu de Justice Sociale

      • L'analyse de la genèse de la catégorie "cancer professionnel" révèle une "certaine récurrence dans les obstacles à la construction de la connaissance". Dès le début du 20e siècle, malgré une identification précoce des cancers liés à des industries spécifiques (houille, colorants, rayons X), les mêmes constats d'échec de déclaration et de reconnaissance se répètent. Les affiches de 1938 exhortant les médecins à déclarer les maladies professionnelles témoignent de cette problématique ancienne.

      • Absence de données fiables : Les données sur le cancer sont "incomplètes", avec des registres qui ne couvrent "moins d'un quart de la population en France", et qui présentent des biais (population plus rurale, plus âgée, plus favorisée, moins de personnes d'origine étrangère). Les zones les plus polluées (sites Seveso) sont souvent non couvertes. La proposition de loi pour créer un registre national des cancers est une étape "indispensable".

      • Fabrication de "non-problèmes" : L'invisibilité des cancers professionnels s'inscrit dans une dynamique de "fabrique des non-problèmes ou comment éviter que la politique s'emmêle".
      • Question de justice sociale : En définitive, cette invisibilité pose la "question de la valeur différentielle des vies" et constitue une "question de justice sociale", comme le souligne Nathalie Bajos.

      En conclusion, la lutte contre les cancers professionnels exige bien plus que des campagnes de prévention individuelles.

      Elle nécessite une réforme profonde des mécanismes de reconnaissance, une formation accrue du corps médical, une meilleure traçabilité des expositions, une indemnisation plus juste, et surtout, un changement de paradigme qui intègre pleinement la santé au travail dans la santé publique, reconnaissant le lieu de travail comme un lieu de vie essentiel.

    1. Note de synthèse : La sous-reconnaissance des maladies professionnelles en France : un problème de santé publique et de justice sociale

      Ce briefing documente l'ampleur et les causes de la sous-déclaration et de la sous-reconnaissance des maladies professionnelles en France. Il s'appuie sur une analyse processuelle et met en lumière les multiples obstacles rencontrés par les victimes, ainsi que les lacunes du système juridique et médical actuel.

      1. Ampleur et enjeu de la sous-reconnaissance

      Les maladies professionnelles (MP) représentent un problème de santé publique majeur et invisible en France, exacerbant les inégalités sociales de santé.

      • Chiffres alarmants : En 2022, on estime à plusieurs centaines de milliers le nombre de maladies professionnelles non déclarées. Concernant spécifiquement les cancers professionnels, la fourchette est estimée entre 67 000 et 99 000 cas, dont seulement 4 000 sont déclarés.
      • Coût financier et social : La sous-déclaration transfère le coût de ces maladies de la branche « Accidents du Travail et Maladies Professionnelles » (AT/MP), financée par les cotisations patronales, vers la branche « Maladie » du régime général, désavantageant financièrement les victimes qui ne bénéficient pas des indemnisations plus favorables (prise en charge des frais de santé, indemnités journalières, rentes viagères). Au-delà de l'enjeu financier, il existe un enjeu symbolique fort pour les victimes.
      • Inégalités sociales : L'exposition aux risques professionnels est fortement inégalitaire. Les ouvriers sont nettement plus exposés aux contraintes physiques intenses et aux cancérogènes que les cadres ou les professions intermédiaires, soulignant un lien direct entre position sociale et risques pour la santé au travail.

      2. Cadre juridique et ses limites

      • Le droit à la santé et à la sécurité au travail repose sur deux principes : la responsabilité de l'employeur et la réparation des atteintes à la santé. La loi de 1898 (étendue en 1919 aux MP) a instauré un système d'assurance forfaitaire, supprimant la nécessité de prouver la faute de l'employeur, mais en contrepartie, le droit à poursuivre pénalement l'employeur a été perdu.

      • Les tableaux de maladies professionnelles : Créés pour identifier les pathologies éligibles à la reconnaissance et à l'indemnisation, ils sont aujourd'hui considérés comme obsolètes et incomplets. Leur création est le fruit de négociations entre l'État, les syndicats de salariés et d'employeurs, où les considérations économiques et les arguments patronaux ont historiquement pesé lourd.

      • Critiques de l'ANSES (2024) : Les tableaux sont jugés "incomplets", "loins" de la réalité des expositions et "hétérogènes". Les diagnostics d'exclusion méconnaissent le principe de présomption d'origine.
      • Ralentissement de l'actualisation : Seulement 2 créations et 5 révisions de tableaux sont intervenues au régime général entre 2010 et 2018. Ce ralentissement est dû à la divergence des intérêts patronaux (financeurs uniques de la branche AT/MP), l'absence de consensus sur la présomption d'imputabilité, et le caractère plurifactoriel des pathologies.

      3. Le processus de reconnaissance : une "course d'obstacles"

      • La reconnaissance d'une maladie professionnelle est un processus complexe, jalonné d'obstacles à chaque étape :
      • Exposition au risque : Les contraintes et expositions physiques varient considérablement selon le sexe et la position sociale. Par exemple, les ouvriers sont majoritairement plus exposés aux risques cancérogènes. Le cas de l'amiante est emblématique : classé cancérogène en 1977, son usage n'a été interdit qu'en 1997, et il reste présent dans de nombreux matériaux, exposant encore des travailleurs.
      • Reconnaissance par le salarié de l'origine professionnelle :
      • Méconnaissance des maladies : De nombreuses MP restent mal connues, notamment les troubles psychiques qui représentent un "angle mort très important".
      • Difficulté à établir le lien travail-maladie : Il est souvent "pas évident pour un individu de faire le lien entre sa maladie et son travail, de considérer que le travail puisse être pathogène". Cette démarche est source de "tension normative".
      • Déni du danger : Dans certains métiers, des salariés développent une "attitude de déni du danger pour tenter d'y faire face", comme le montre le travail de Christophe Dejours sur les ouvriers du bâtiment ou l'exemple des coiffeuses.
      • Méconnaissance des droits : Même en ayant conscience du lien travail-maladie, de nombreux salariés ignorent les droits qui leur sont ouverts.
      • Absence de perception d'intérêt : Certains ne perçoivent pas d'intérêt matériel, financier, ni même symbolique à la déclaration, surtout en cas de traitements lourds où "les démarches de réparation sont vues comme secondaires par rapport aux enjeux de soins, voire inutiles ou même néfastes".
      • Peur des représailles : La crainte de perdre son emploi ou de subir des représailles de l'employeur ou des collègues est un frein majeur.
      • Déclaration de la maladie professionnelle :
      • Responsabilité de la victime : Contrairement aux accidents du travail, c'est la victime elle-même (ou ses ayants droit) qui doit effectuer la demande, nécessitant un certificat médical initial.
      • Complexité administrative et juridique : La procédure est "compliquée" et "complexe", décourageant de nombreux potentiels bénéficiaires.
      • Manque d'information et de soutien des médecins : La formation des professionnels de santé sur les MP est insuffisante (environ 10h en 2e cycle des études médicales, contre une moyenne européenne de 25h). Certains médecins du travail sont réticents à accompagner les démarches, parfois par méconnaissance des avantages financiers pour le salarié ou par crainte de l'impact négatif sur l'emploi du patient.
      • Obstruction des employeurs : Les employeurs n'ont "évidemment pas d'intérêt financier à ce qu'il y ait des maladies professionnelles déclarées". Ils peuvent exercer des pressions, proposer des ruptures conventionnelles en échange de la renonciation, ou contester le lien avec l'accident/la maladie.
      • Reconnaissance administrative et médico-légale :
      • Obstruction des caisses primaires d'assurance maladie (CPAM) : Des "obstructions importantes" sont documentées, se manifestant par une "très forte hétérogénéité entre les caisses dans les délais de traitement des dossiers".
      • Caractère différé des maladies : Le "temps de latence" entre l'exposition et l'apparition des symptômes (plusieurs années, voire décennies pour certains cancers) rend difficile la traçabilité des expositions passées.
      • Ressources inégales face à la contestation : Les "grandes entreprises qui ont les moyens de recourir à des cabinets d'avocats spécialisés" peuvent manipuler les données et "mettre en scène l'ignorance pour contester la parole des travailleurs et limiter le coût de la reconnaissance". La stratégie de certains avocats est de "repérer un bon cas" pour créer une jurisprudence favorable.

      4. Perspectives et recommandations

      • La situation est marquée par une "stabilité" voire une "inertie" des logiques sociales et institutionnelles qui construisent la non-reconnaissance. Des "petites mesures" ne suffiront pas ; une "modification de la loi" est nécessaire.
      • Manque de connaissance et biais dans la recherche :
      • Analyses genrées : Il y a un "manque de connaissance" et une "absence particulière" des analyses genrées en santé publique sur les MP, malgré leur pertinence. Les études épidémiologiques sur les cancers professionnels ont historiquement porté majoritairement sur les hommes, sous-estimant les expositions et les cancers chez les femmes (ex: agentes de nettoyage).
      • Populations vulnérables : Les travailleurs étrangers ou d'origine étrangère, et les personnes en situation de précarité, sont confrontés à des obstacles particuliers et sont "pas du tout assez étudiées". Une approche intersectionnelle est nécessaire pour articuler les rapports sociaux de domination (classe, genre, race).
      • Facteurs de risque et multiexpositions : La recherche doit continuer à identifier les facteurs de risque, notamment pour les maladies plurifactorielles (expositions professionnelles et environnementales simultanées). L'idée qu'on puisse isoler une cause unique est une "illusion épidémiologique". La question est de savoir si une exposition professionnelle favorise ou aggrave la maladie, indépendamment d'autres causes (ex: tabac, environnement).
      • Nécessité de modifier la loi et le système de reconnaissance :
      • Formation des professionnels de santé : Renforcer la formation des médecins sur les MP, même si cela ne suffit pas sans mesures structurelles.
      • Traçabilité et information : Améliorer la traçabilité des expositions et l'information des salariés sur leurs droits.
      • Contrôle et sanctions : Renforcer l'arsenal de contrôle et de sanction des entreprises qui procèdent à des déclarations incomplètes.
      • Actualisation et refonte des tableaux : Actualiser les tableaux de maladies professionnelles, voire en modifier l'objectivation des pathologies en se basant sur les examens recommandés par les sociétés savantes ou la Haute Autorité de Santé.
      • Refonte globale du système : La loi elle-même est interrogée pour sa capacité à produire la non-déclaration. Une refonte du système de reconnaissance est indispensable pour tenir compte :
      • De l'évolution des modes de management.
      • De la plus grande discontinuité des carrières professionnelles.
      • De l'augmentation des produits dangereux et de la reconnaissance de leur dangerosité.
      • Des multiexpositions.
      • De la "question fondamentale de la reconnaissance des troubles psychiques qui ne font toujours pas l'objet d'un tableau de maladie professionnelle".
      • De l'exclusion de certains travailleurs.
      • En conclusion, la reconnaissance des maladies professionnelles est un "enjeu majeur de santé publique" qui contribue aux inégalités de santé. C'est un enjeu "politique", "scientifique" et "éthique" qui nécessite des changements profonds pour sortir de l'inertie actuelle. Les expériences de terrain, comme celle du GISCOPE, peuvent dessiner des pistes concrètes pour une transformation fondamentale.
    1. Compte rendu détaillé : La soumission chimique – Comprendre, Identifier et Lutter

      Ce document de briefing est basé sur la conférence de Juliette Descœurs, praticien hospitalier et biologiste au laboratoire de toxicologie de la Péronie, et experte près la cour d'appel de Montpellier, axée sur le phénomène de la "soumission chimique".

      Il vise à synthétiser les concepts clés, les substances impliquées, les méthodes d'analyse et les stratégies de prévention.

      1. Définition et Distinction de la Soumission Chimique

      Juliette Descœurs débute par une définition précise de la soumission chimique : « l'administration volontaire de substances psycho-actives à l'insu de la victime ou sous la menace à des fins à la fois soit délictuelles pour des vols des signatures de documents par exemple ou à des fins criminelles pour faire des agressions sexuelles des viols de la pédophilie ou des affaires que l'on retrouve dans des maisons de retraite ou même intrafamiliales ».

      Elle établit une distinction cruciale avec la "vulnérabilité chimique". Cette dernière désigne la « consommation volontaire par une personne de substance psychoactive qui conduirait à un état de vulnérabilité », où les agressions sont majoritairement perpétrées sur des victimes ayant consommé de l'alcool et/ou du cannabis.

      • Un point important soulevé est l'utilisation des substances comme « une stratégie pour instaurer une genre d'emprise par addiction à des psychotropes provoqués et alimentés par l'exploiteur ».

      Cette emprise est renforcée par le fait que « l'obtention de ces substances est réalisée par l'exploiteur lui-même », transformant l'emprise chimique en un moyen de « contraindre des personnes en situation de vulnérabilité à commettre des délits des crimes ou même à se mettre en danger ».

      2. Le "Produit Idéal" pour la Soumission Chimique

      Pour un agresseur, le produit idéal de soumission chimique présente plusieurs caractéristiques :

      Facilité d'obtention. Goût agréable ou sans goût. Forme liquide ou soluble, facilement dissoluble dans un milieu aqueux. Invisible. Actif à faible dose et à action rapide. Deux critères principaux sont recherchés pour classer ces substances :

      Vitesse d'élimination : « rapide ».

      Mécanisme d'action : « sédation, un effet amnésiant, une stimulation sexuelle, une action myorelaxante pour pouvoir faire un peu ce qu'on veut de la victime, une diminution de ces des réactions de défense ».

      3. Substances Utilisées dans la Soumission Chimique

      Les substances sont classées en deux catégories principales :

      3.1. Substances Non Médicamenteuses :

      • GHB (Gamma-Hydroxybutyrate) : Surnommé "liquide extasie" ou "drogue du violeur".
      • Forme : Poudre blanche soluble, liquide inodore et incolore.

      • Utilisation : Principalement dans les milieux festifs à des fins illégales en raison de son « effet amnésiant et inducteur de sommeil ». Souvent consommé avec de l'alcool.

      • Effets : Forte sensation de chaleur et d'ivresse (comparable à l'alcool) à faibles doses, puis quiétude, légère euphorie, désinhibition. À fortes doses : vertiges, perte de coordination, nausées, vomissements, coma, dépression respiratoire.

      • Furtivité : Qualifié de "furtif" car il disparaît rapidement du sang (jusqu'à 5-6h) et des urines (jusqu'à 10-12h). Sa particularité est sa double production : physiologique (taux basal de 2 à 3 mg/L) et in vitro (formation dans les échantillons mal conservés), rendant l'analyse complexe et nécessitant de prendre en compte la conservation, le seuil physiologique et les délais de prélèvement.

      • Alcool : Souvent le "numéro 1" des substances retrouvées, agissant comme un "alter ego du GHB" avec des effets euphorisants, désinhibants, stimulants et amnésiques. Les cas suspects de GHB se révèlent souvent être des intoxications alcooliques sévères (3 à 4 g/L).

      • Extasie (MDMA) : Mentionnée en lien avec l'affaire du sénateur Joël Guerriot. Présente une forte prévalence dans ce type de situations.

      • Effet : Antactogène, c'est-à-dire qu'il « altère le consentement de la victime » et provoque une « amnésie antérograde ». Bien que stimulant, il est un bon candidat pour la soumission chimique car il agit comme « un adjuvant de l'humeur par effet euphorisant et en abolissant la méfiance », rendant la victime « participative ».

      • Catinones de synthèse, cannabis, cocaïne.

      • Hallucinogènes :Scopolamine : Action sédative, provoque hallucinations, amnésie et pertes de conscience.

      • Ayahuasca (dérivé de la diméthyltriptamine) : Souvent associée aux rituels chamaniques, la littérature montre que les victimes se retrouvent souvent dans un « état second avec une impossibilité de s'opposer à des agressions sexuelles ».

      3.2. Substances Médicamenteuses :

      • Benzodiazépines et "Z-drugs" (hypnotiques apparentés) : (Bromazépam, diazépam, alprazolam, zolpidem, zopiclone). Mentionnées en écho au procès de Mazan (affaire Gisèle Pélico). Des langues bleues (additif du clonazépam) ont été observées dans des vidéos.

      • Propriétés : Anxiolytiques, anticonvulsivantes, sédatives, myorelaxantes et surtout « amnésiantes très recherchées par les agresseurs ». L'« amnésie antérograde et lacunaire » est particulièrement retrouvée avec les benzodiazépines hypnotiques sédatives à demi-vie courte, permettant aux agresseurs de faire accomplir des actes dont la victime ne gardera aucun souvenir.

      • Antihistaminiques (H1) : (Atarax, désloratadine, Aérius).

      • Effets : Sédation, somnolence, étourdissement, ralentissement des réflexes.

      • Neuroleptiques : Souvent détournés de leur usage, retrouvés dans des cas de maisons de retraite où des personnes âgées sont en état léthargique après administration à leur insu.

      4. Statistiques et Prévalence (Enquête CEIP-A 2022)

      En 2022, sur 1229 signalements suspects, 97 cas de soumission chimique ont été jugés vraisemblables. Les victimes étaient « essentiellement des femmes et dans des milieux festifs ».

      La majorité des substances impliquées étaient médicamenteuses, mais une part non négligeable de substances non médicamenteuses était également présente.

      Top 1 non médicamenteuses : MDMA (extasie), cocaïne, cannabis. Top 1 médicamenteuses : Benzodiazépines (bromazépam, zopiclone, hydroxyzine) et tramadol.

      5. Prise en Charge en Laboratoire (CHU La Péronie)

      Le laboratoire du CHU La Péronie a mis en place un protocole avec les urgences, l'Institut de Médecine Légale et la pharmacologie pour la prise en charge des cas suspects de soumission chimique.

      • Circuits de prélèvement :

      • Conservation : Demande de 4 tubes minimum (hépariné, fluoré, EDTA, urine).

      • Clinique : Demande de tubes supplémentaires si nécessaire pour des analyses complémentaires.

      • Gestion des échantillons : Détruits après 3 ans sans saisie de justice ; traités en cas de réquisition judiciaire.

      • Formulaire de réception des prélèvements : Essentiel pour compiler un maximum d'informations rapidement.

      • Informations clés : Date/heure supposée des faits, date/heure des prélèvements, prise en charge thérapeutique, traitement habituel de la victime, consommation éventuelle de stupéfiants.

      • Signes non cliniques : Agression physique (signes de violence), préjudice matériel (perte de carte bancaire, chéquier), découverte de substances sur les lieux.

      • Signes cliniques (neuropsychiques) :Durée de la phase léthargique et qualité du réveil : Différents selon les molécules (ex: GHB : sédation courte, réveil rapide et complet ; benzodiazépines : somnolence prolongée, réveils difficiles).

      • Troubles de la vigilance, propos désorganisés, troubles du comportement, hallucinations.

      • Amnésie : Classiquement « antérograde » (empêche l'enregistrement de nouveaux souvenirs) et « lacunaire » (absence de souvenir d'un moment de la vie).

      • Autres symptômes : Vomissements (GHB, absents avec antihistaminiques H1), sécheresse buccale marquée (effets anticholinergiques des antihistaminiques).

      • Types de prélèvements pour l'analyse :

      • Sang : Permet de remonter à la quantité prise, mais fenêtre de détection courte (quelques heures).

      • Urine : Fenêtre de détection plus large grâce à la présence de métabolites.

      • Cheveux : « Stabilité exceptionnelle » car matrice biologique non biodégradable.

      • Principe : 1 cm de cheveux correspond à environ un mois de condition de vie.

      • Avantages : Constitue une « sauvegarde des molécules » avec lesquelles le sujet a été en contact, documente un usage répété ou une exposition unique. Réalisé en zone de confidentialité et conservé à température ambiante.

      6. Moyens de Lutte et de Prévention

      • Mission gouvernementale sur la soumission chimique (rapport du 12 mai 2025) : Juliette Descœurs met l'accent sur la recommandation 43 : « un soutien à la recherche scientifique en galénique et en toxicologie qui permettra d'entraver la lutte contre le détournement criminel de médicaments ».

      • L'Agence du Médicament demande aux laboratoires titulaires d'une AMM de « modifier l'aspect visuel de tels médicaments en ajoutant par exemple des colorants (...) un goût, une odeur facilement identifiable et peut-être une texture aussi inhabituelle (faire des grumeaux à la surface) », pour permettre aux victimes de repérer un éventuel détournement.

      • Mouvement #metoo et visibilisation : Les agressions sexistes et sexuelles facilitées par l'absorption non consentie de substances psychoactives ont été mises en lumière dans le cadre d'événements festifs (#balancetonbar) et de la sphère privée (affaires Sandrine Josu et Gisèle Pécelico).

      • Campagne de sensibilisation (mai 2023) : Lancée par le CRAFS (Société Francophone des Sciences Pharmaceutiques Officinales), l'Ordre National des Pharmaciens, et l'association #Mandorpa, avec le soutien du Secrétaire d'État à l'égalité entre les femmes et les hommes. Le CRAFS est la « plateforme référente de santé publique qui informe sur les substances actuellement de soumission chimique ».

      • Ce briefing souligne l'importance d'une approche multidisciplinaire pour comprendre, identifier et combattre la soumission chimique, impliquant à la fois la recherche scientifique, l'adaptation des médicaments, la sensibilisation du public et une prise en charge médico-légale rigoureuse.

    1. Compte-rendu détaillé du Séminaire International sur le Travail Collaboratif à l’École

      Ce compte-rendu explore les thèmes principaux et les idées essentielles abordées lors du séminaire international sur le travail collaboratif à l’école, organisé par France Éducation Internationale (FEI).

      Il met en lumière la philosophie de la co-construction, l'importance des initiatives de terrain, les défis de la généralisation des bonnes pratiques et le rôle crucial de l'inclusion et de la diversité dans l'éducation.

      1. France Éducation Internationale : Un Opérateur de Coopération Éducative axé sur la Co-construction

      France Éducation Internationale (FEI), anciennement CIEP, se positionne comme l'opérateur clé du Ministère de l'Éducation Nationale et de la Jeunesse pour la coopération éducative mondiale.

      Sa philosophie centrale est la "co-construction", qui rejette l'exportation unilatérale du savoir-faire français au profit d'une collaboration adaptée aux contextes locaux.

      • Rôle et Mission de FEI : FEI englobe diverses activités, de l'aide au développement à la mobilité (assistants de langue), en passant par la reconnaissance des diplômes et la recherche pédagogique.
      • Approche Comparatiste : Le séminaire lui-même illustre cette approche, comme le souligne le représentant de FEI : « le séminaire d'aujourd'hui a été conçu dans cet esprit avec une approche volontairement comparatiste qui est celle de notre revue internationale d'éducation de Sèvres ». Cette méthode permet d'apprendre des expériences diversifiées, avec des études de cas en France (Creuse, Aube), en Inde, au Royaume-Uni et au Mexique.
      • Héritage et Vision : L'ambition de FEI, héritée de la vision de Gustave Monod lors de la création du Centre International d'Études Pédagogiques en 1945, reste inchangée : « établir et maintenir des liens à l'international et bénéficier de ces échanges pour alimenter les travaux de recherche en vue de méthode plus active d'enseignement ». L'idée fondatrice est que « on travaille avec les autres on aide les autres mais les autres nous instruisent ».

      2. Le Conseil National de la Refondation (CNR) – Volet Éducatif : "Notre école, faisons-la ensemble"

      Le lancement du volet éducatif du CNR, baptisé "Notre école, faisons-la ensemble", représente une approche "révolutionnaire" pour le système éducatif français, historiquement très centralisé.

      • Confiance aux Acteurs de Terrain : Plutôt que des injonctions verticales, la démarche repose sur la confiance accordée aux équipes pédagogiques locales. Le ministre souligne : « non par je ne sais quel injonction verticale venue du ministère mais par autant de dynamiques collective locale autour de l'école d'initiative et d'innovation portée par les équipes pédagogiques de confiance donnée aux acteurs de terrain ».
      • Dynamique Collective Locale : Plus de 17 000 écoles et établissements (près d'un tiers du total) se sont engagés dans des concertations locales impliquant toutes les parties prenantes (enseignants, élèves, parents, collectivités). Cela a déjà abouti au dépôt de plus de 5 500 projets pédagogiques.
      • Soutien Financier et Accompagnement : Ces projets bénéficient d'un soutien financier via le fonds d'innovation pédagogique, permettant de lever les freins liés au transport et au financement, notamment dans les zones rurales isolées. Comme l'indique l'une des présentatrices : « grâce au fond cette barrière peut être levée et là la démarche de notre école faisons là ensemble est une véritable aide à la réussite des élèves et à la lutte contre les inégalités ».

      3. Études de Cas Françaises : Illustrations du Travail Collaboratif

      Deux projets français, issus du CNR, sont présentés comme des exemples concrets de travail collaboratif :

      • Collège de Parsac (Creuse) : Améliorer la lecture et l'orthographe
      • Objectifs : Améliorer la lecture à haute voix et la fluence, ainsi que l'orthographe et l'expression écrite, de la maternelle à la troisième.
      • Démarche : Né d'un diagnostic local basé sur les résultats des tests nationaux, le projet a impliqué des concertations avec les enseignants, les élèves, les parents et les collectivités locales.
      • Actions : Incluent des ateliers d'écriture avec le groupe "Les Goguettes", la lecture d'albums par les élèves de 6ème aux maternelles ("Les Grands chez les Petits"), des nuits de la lecture, la rédaction d'un journal inter-degrés et un projet d'observation d'abeilles solitaires. L'élève Apolline témoigne : « J'aime lire des livres aux enfants de l'école ».
      • Impact : Création d'un continuum pédagogique et interdisciplinaire, renforcement des liens entre le collège et les écoles, et une dynamique de confiance accordée au terrain.
      • École Primaire de Mézières-lès-Briennes (Aube) : Parcours linguistique en allemand
      • Objectif : Mettre en place un parcours linguistique cohérent en allemand dès l'école maternelle, visant le niveau A1+ à la fin du cycle 3.
      • Contexte : Fortement motivé par le faible niveau en langues vivantes (notamment révélé par les tests Eva Langues) et un jumelage actif avec une ville allemande.
      • Acteurs Impliqués : Enseignantes aux compétences en allemand, professeur agrégé d'allemand du collège, comité de jumelage, collectivités locales, parents d'élèves.
      • Actions : Sensibilisation précoce à la diversité linguistique (dispositif Élysée), enseignement bilingue (dispositif Émile), correspondance avec une Kita allemande, mobilités d'élèves et d'enseignants, et à terme, une heure d'histoire en allemand au collège.
      • Philosophie : « une approche méthodologique innovante qui va bien au-delà de l'enseignement des langues vivantes visant la citoyenneté la curiosité des élèves l'engagement de tous partenaire et acteurs l'interculturalité et la motivation ».

      4. Perspectives Internationales sur le Travail Collaboratif

      Les études de cas du Mexique et de l'Inde soulignent la portée universelle et l'adaptabilité du travail collaboratif.

      • Mexique (Carlos Ornellas) : Le travail collaboratif est une réponse essentielle dans des contextes difficiles, marqués par la violence sociale et les inégalités. Des initiatives simples, émanant du terrain, permettent aux enfants de sortir de situations de violence et de misère. Comme le souligne M. Ornellas, cela met en évidence que « les initiatives viennent du terrain et c'est que là que c'est là que se construisent la véritable expertise ».
      • Inde (Salini Borka) : Une initiative dans un État indien, mobilisant un ensemble d'acteurs éducatifs autour d'un syndicat, a permis d'inventer de nouvelles méthodes. Cela prouve qu'« un collectif qui connaît le terrain et beaucoup plus performant que toute idée qui peuvent qui peut qui peut surnager sans avoir cette connaissance fine du terrain et des ajustements nécessaires pour pour une meilleure éducation ».

      5. Caractéristiques Clés du Travail Collaboratif et Conditions de Succès

      Plusieurs intervenants ont identifié des principes fondamentaux pour la réussite et la généralisation du travail collaboratif :

      • Intelligence Collective et Engagement : Le travail collaboratif repose sur la mobilisation de « l'intelligence collective », mutualisant les compétences des élèves, des équipes pédagogiques, et de l'environnement extérieur. Il nécessite un « engagement basé sur une motivation » (M. Ndoy).
      • Dialogue Inclusif basé sur l'Évaluation : Le dialogue doit être « inclusif » et fondé sur « l'évaluation des résultats de l'apprentissage », permettant d'identifier des problèmes concrets à résoudre.
      • Changement Culturel et Renouvellement des Pratiques : Le travail collaboratif bouleverse l'organisation pédagogique traditionnelle et conduit à un changement culturel chez les enseignants, les incitant à considérer que « tout enfant est éducable » (M. Ndoy) et à s'intéresser aux apprenants en difficulté.
      • La Question de la "Réforme" vs. "Initiative" : Le professeur Antonio Nóvoa remet en question la pertinence du terme "réforme" au profit d'"initiative", de "partage" et de "collaboration".

      Il met en garde contre les projets qui restent « une exception à la au quotidien scolaire » et ne touchent pas le « corps le centre du travail scolaire ». Il insiste sur la nécessité d'une nouvelle organisation de l'école (emploi du temps, organisation des classes, curriculums) pour que le travail soit au cœur du processus. * Optimisme et "Agir Ensemble" : La rectrice Carole Drucker Godard met en avant l'« optimisme » et l'« envie » générés par ces projets. Elle souligne que l'« agir ensemble est fédéré par des valeurs partagées » et que l'effort doit être partagé. * Les Facteurs de Réussite de la Rectrice :Communication : Essentielle pour expliquer les bienfaits des pratiques innovantes et « transmettre l'envie ». * Auto-évaluation et Rétroaction : Pour ajuster et améliorer continuellement les projets. * Formation des Enseignants : Développer la culture du travail collaboratif, notamment via des formations continues comme les "constellations". * Accompagnement des Projets : Par les chefs d'établissement et les services académiques. * Incitation à la Dynamique de Projet : Être attentif aux appels à projets pertinents. * Lien avec la Recherche : Impliquer des chercheurs pour enrichir la réflexion et l'action. * Reproductibilité vs. Reproduction (M. Ndoy) : Pour la généralisation, il ne s'agit pas de reproduire une expérience telle quelle, mais de comprendre et recréer les « facteurs qui ont conduit à la réussite » dans de nouveaux contextes. L'« analyse diagnostic » est primordiale. * Créer les Conditions de la Collaboration (M. Nóvoa) : La collaboration n'est pas automatique. Elle nécessite des « espaces ouverts », une autre « organisation des temps de l'école » et des « environnements éducatifs » qui favorisent la diversité et le travail conjoint. « Il n'y a pas d'inclusion sans diversité ». * La "Publication de l'Âme" (M. Nóvoa citant Steiner) : La communication ne se limite pas au journalisme ; il s'agit de "publier les innovations", de les partager, pour créer une "action commune".

      En conclusion, le séminaire a souligné que le travail collaboratif à l'école est bien plus qu'une simple méthode pédagogique.

      Il représente une transformation profonde des pratiques, des cultures et des organisations scolaires, enracinée dans la confiance envers les acteurs de terrain, la mutualisation des intelligences et un engagement commun pour la réussite et l'épanouissement de tous les élèves.

      Bien que des défis subsistent, notamment la systématisation des changements, l'optimisme quant à la capacité des acteurs à innover est palpable.

    1. Author response:

      Public Review

      Joint Public Review:

      This manuscript presents an algorithm for identifying network topologies that exhibit a desired qualitative behaviour, with a particular focus on oscillations. The approach is first demonstrated on 3-node networks, where results can be validated through exhaustive search, and then extended to 5-node networks, where the search space becomes intractable. Network topologies are represented as directed graphs, and their dynamical behaviour is classified using stochastic simulations based on the Gillespie algorithm. To efficiently explore the large design space, the authors employ reinforcement learning via Monte Carlo Tree Search (MCTS), framing circuit design as a sequential decision-making process.

      This work meaningfully extends the range of systems that can be explored in silico to uncover non-linear dynamics and represents a valuable methodological advance for the fields of systems and synthetic biology.

      Strengths

      The evidence presented is strong and compelling. The authors validate their results for 3-node networks through exhaustive search, and the findings for 5-node networks are consistent with previously reported motifs, lending credibility to the approach. The use of reinforcement learning to navigate the vast space of possible topologies is both original and effective, and represents a novel contribution to the field. The algorithm demonstrates convincing efficiency, and the ability to identify robust oscillatory topologies is particularly valuable. Expanding the scale of systems that can be systematically explored in silico marks a significant advance for the study of complex gene regulatory networks.

      Weaknesses

      The principal weakness of the manuscript lies in the interpretation of biological robustness. The authors identify network topologies that sustain oscillatory behaviour despite perturbations to the system or parameters. However, in many cases, this persistence is due to the presence of partially redundant oscillatory motifs within the network. While this observation is interesting and of clear value for circuit design, framing it as evidence of evolutionary robustness may be misleading. The "mutant" systems frequently exhibit altered oscillatory properties, such as changes in frequency or amplitude. From a functional cellular perspective, mere oscillation is insufficient - preservation of specific oscillation characteristics is often essential. This is particularly true in systems like circadian clocks, where misalignment with environmental cycles can have deleterious effects. Robustness, from an evolutionary standpoint, should therefore be framed as the capacity to maintain the functional phenotype, not merely the qualitative behaviour.

      A secondary limitation is that, despite the methodological advances, the scale of the systems explored remains modest. While moving from 3- to 5-node systems is non-trivial, five elements still represent a relatively small network. It is somewhat surprising that the algorithm does not scale further, particularly when considering the performance of MCTS in other domains - for instance, modern chess engines routinely explore far larger decision trees. A discussion on current performance bottlenecks and potential avenues for improving scalability would be valuable.

      Finally, it is worth noting that the emergence of oscillations in a model often depends not only on the topology but also critically on parameter choices and the nature of the nonlinearities. The use of Hill functions and high Hill coefficients is a common strategy to induce oscillatory dynamics. Thus, the reported results should be interpreted within the context of the modelling assumptions and parameter regimes employed in the simulations.

      We thank the reviewers for their careful consideration of our work and for the interesting feedback and scientific discussion. We are working on a revised text based on their recommendations, which will include some of the discussion below.

      This work meaningfully extends the range of systems that can be explored in silico to uncover non-linear dynamics and represents a valuable methodological advance for the fields of systems and synthetic biology.

      We thank the reviewers for their positive assessment of our work’s impact!

      The use of reinforcement learning to navigate the vast space of possible topologies is both original and effective, and represents a novel contribution to the field. The algorithm demonstrates convincing efficiency, and the ability to identify robust oscillatory topologies is particularly valuable. Expanding the scale of systems that can be systematically explored in silico marks a significant advance for the study of complex gene regulatory networks.

      We appreciate these kind comments about our work’s merits. We are excited to share our reinforcement learning (RL) based method with the fields of systems and synthetic biology, and we consider it a valuable tool for the systematic analysis and design of larger-scale regulatory networks!

      The principal weakness of the manuscript lies in the interpretation of biological robustness. The authors identify network topologies that sustain oscillatory behaviour despite perturbations to the system or parameters… [However, these] "mutant" systems frequently exhibit altered oscillatory properties, such as changes in frequency or amplitude. From a functional cellular perspective, mere oscillation is insufficient - preservation of specific oscillation characteristics is often essential. This is particularly true in systems like circadian clocks, where misalignment with environmental cycles can have deleterious effects. Robustness, from an evolutionary standpoint, should therefore be framed as the capacity to maintain the functional phenotype, not merely the qualitative behaviour.

      We thank the reviewers for their attention to this point. In the large-scale circuit search, summarized in Figures 4A and 4B, we ran a search for 5-component oscillators that can spontaneously oscillate even when subjected to the deletion of a random gene. Some of the best performing circuits under these conditions exhibited a design feature we call “motif multiplexing,” in which multiple smaller motifs are interleaved in a way that makes oscillation possible under many different mutational scenarios. Interestingly, despite not selecting for preservation of frequency, the 3Ai+3Rep circuit (a 5-gene circuit highlighted in Figure 5) anecdotally appears to have a natural frequency that is robust to partial gene knockdowns, although not to complete gene deletions. As shown in Figure 5C, this circuit has a natural frequency of 6 cycles/hr (with one particular parameterization), and it can sustain a knockdown of any of its 5 genes to 50% of the wild-type transcription rate without altering the natural frequency by more than 20%.

      However, we agree that there are salient differences between this training scenario and natural evolution. The revised text will clarify that these differences limit what conclusions can be drawn about biological evolution by analogy. As the reviewers point out, we use the presence of spontaneous oscillations (with or without the deletion) as a measure of fitness, regardless of frequency, so as to screen for designs with promising behavior. Also, the deletion mutations introduced during training likely represent larger perturbations to the system than a typical mutation encountered during genome replication (for example, a point mutation in a response element leading to a moderate change in binding affinity). Finally, we do not introduce any entrainment. Real circadian oscillators are aligned to a 24-hour period (“entrained”) by environmental inputs such as light and temperature. For this reason, natural circadian clocks may have natural frequencies that are slightly shorter or longer than 24 hours, although a close proximity to the 24-hour period does seem to be an important selective factor [1].

      ...despite the methodological advances, the scale of the systems explored remains modest. While moving from 3- to 5-node systems is non-trivial, five elements still represent a relatively small network. It is somewhat surprising that the algorithm does not scale further, particularly when considering the performance of MCTS in other domains - for instance, modern chess engines routinely explore far larger decision trees. A discussion on current performance bottlenecks and potential avenues for improving scalability would be valuable.

      We thank the reviewers for their attention to this point. The main limitation we encountered to exploring circuits with more than 5 nodes in this work was the poor computational scaling of the Gillespie stochastic simulation algorithm, rather than a limitation of MCTS itself. While the average runtime of a 3-node circuit simulation was roughly 7 seconds, this number increased to 18-20 seconds with 5-node circuits. For this reason, we limited the search to topologies with ≤15 interaction arrows (15 sec/simulation). In general, the simulation time was proportional to the square of the number of transcription factors (TFs). We will revise the text to include the reason for stopping at 5 nodes, which is significant for understanding CircuiTree’s scaling properties.

      With regards to scaling, an important advantage of CircuiTree is its ability to generate useful candidate designs after exploring only a portion of the search space. Like exhaustive search, given enough time, MCTS will comprehensively explore the search space and find all possible solutions. However, for large search spaces, RL-based agents are generally given a finite number of simulations (or time) to learn as much as possible.

      Across machine learning (ML) applications [2] and particularly with RL models [3], this training time tends to obey a power law with respect to the underlying complexity of the problem. Thus we can use the complexity of the 3-node and 5-node searches to infer the current scaling limits of CircuiTree. The first oscillator topology was discovered after 2,280 simulations for the 3-node search, and in the 5-node search, the first oscillator using 5 nodes appeared at ~8e5 simulations, resulting in a power law of Y ~ 84.4 X<sup>0.333</sup>. Thus, useful candidate designs may be found for 6-node and 7-node searches after 4.5e7 and 5.26e9 simulations, respectively, even though these spaces contain 1.5e17 and 2.5e23 topologies, respectively. Thus, running a 7-node search with the current implementation of CircuiTree would require resources close to the current boundaries of computation, requiring roughly 1.8 million CPU-hours, or 2 weeks on 5,000 CPUs, assuming a 1-second simulation. These points will be incorporated into both the results and discussion sections in our revised text.

      However, we are optimistic about CircuiTree’s potential to scale to much larger circuits with modifications to its algorithm. CircuiTree uses the original (so-called “vanilla”) implementation of MCTS, which has not been used in professional game-playing AIs in over a decade. Contemporary RL-based game-playing engines leverage deep neural networks to dramatically reduce the training time, using value networks to identify game-winning positions and policy networks to find game-winning moves. AlphaZero, developed by Google DeepMind to learn games by self-play and without domain knowledge, outperformed all other chess AIs after 44 million training games, much smaller than the 10^43 possible chess states [4]. Similarly, the game of go has 10<sup>170</sup> possible states, but AlphaZero outperformed other AIs after only 140 million games [4]. Large circuits live in similarly large search spaces; for example, 19-node and 20-node circuits represent spaces of 10<sup>172</sup> and 10<sup>190</sup> possible topologies. The revised text will include this discussion and identify value and policy networks, as well as more scalable simulation paradigms such as ODEs and neural ODEs, as our future directions for improving CircuiTree’s scalability.

      Finally, our revised discussion will note some important differences between game-playing and biological circuit design. Unlike deterministic games like chess, the final value of a circuit topology is determined stochastically, by running a simulation whose fitness depends on the parameter set and initial conditions. Thus, state-for-state, it is possible that training an agent for circuit design may inherently require more simulations to achieve the same level of certainty compared to classical games. Additionally, while we often possess a priori knowledge about a game such as its overall difficulty or certain known strategies, we lack this frame of reference when searching for circuit designs. Thus, it remains challenging to know if and when a large space of designs has been “satisfactorily” or “comprehensively” searched, since the answer depends on data that are unknown, namely the quantity, quality, and location of solutions residing in the search space.

      Not accounting for redundancy due to structural symmetries

      Finally, it is worth noting that the emergence of oscillations in a model often depends not only on the topology but also critically on parameter choices and the nature of the nonlinearities. The use of Hill functions and high Hill coefficients is a common strategy to induce oscillatory dynamics. Thus, the reported results should be interpreted within the context of the modelling assumptions and parameter regimes employed in the simulations.

      In our dynamical modeling of transcription factor (TF) networks, we do not rely on continuum assumptions about promoter occupancy such as Hill functions. Rather, we model each reaction - transcription, translation, TF binding/unbinding, and degradation - explicitly, and individual molecules appear and disappear via stochastic birth and death events. Many natural TFs are homodimers that bind cooperatively to regulate transcription; similarly, we assume that pairs of TFs bind more stably to their response element than individual TFs. Thus, our model has similar cooperativity to a Hill function, and it can be shown that in the continuum limit, the effective Hill coefficient is always ≤2. Our revision will clarify this aspect of the modeling and include a derivation of this property. Currently, the parameter values used in the figures are shown in Table 2. In the revised text, these will be displayed in the body of the text as well for clarity.

      Bibliography (1) Spoelstra, K., Wikelski, M., Daan, S., Loudon, A. S. I., & Hau, M. (2015). Natural selection against a circadian clock gene mutation in mice. PNAS, 113(3), 686–691. https://doi.org/https://doi.org/10.1073/pnas.1516442113<br /> (2) Neumann, O., & Gros, C. (2023). Scaling Laws for a Multi-Agent Reinforcement Learning Model. The Eleventh International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=ZrEbzL9eQ3W (3) Jones, A. L. (2021). Scaling Scaling Laws with Board Games. arXiv [Cs.LG]. Retrieved from http://arxiv.org/abs/2104.03113 (4) Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., Lillicrap, T., Simonyan, K., & Hassabis, D. (2018). A general reinforcement learning algorithm that Masters Chess, Shogi, and go through self-play. Science, 362(6419), 1140–1144. https://doi.org/10.1126/science.aar6404

    1. Author response:

      Reviewer #1 (Public Review):

      Summary: 

      BMP signaling is, arguably, best known for its role in the dorsoventral patterning, but not in nematodes, where it regulates body size. In their paper, Vora et al. analyze ChIP-Seq and RNA-Seq data to identify direct transcriptional targets of SMA-3 (Smad) and SMA-9 (Schnurri) and understand the respective roles of SMA-3 and SMA-9 in the nematode model Caenorhabditis elegans. The authors use publicly available SMA-3 and SMA-9 ChIP-Seq data, own RNA-Seq data from SMA-3 and SMA-9 mutants, and bioinformatic analyses to identify the genes directly controlled by these two transcription factors (TFs) and find approximately 350 such targets for each. They show that all SMA-3-controlled targets are positively controlled by SMA-3 binding, while SMA-9-controlled targets can be either up or downregulated by SMA-9. 129 direct targets were shared by SMA-3 and SMA-9, and, curiously, the expression of 15 of them was activated by SMA-3 but repressed by SMA-9. Since genes responsible for cuticle collagen production were eminent among the SMA-3 targets, the authors focused on trying to understand the body size defect known to be elicited by the modulation of BMP signaling. Vora et al. provide compelling evidence that this defect is likely to be due to problems with the BMP signaling-dependent collagen secretion necessary for cuticle formation. 

      We thank the reviewer for this supportive summary. We would like to clarify the status of the publicly available ChIP-seq data. We generated the GFP tagged SMA-3 and SMA‑9 strains and submitted them to be entered into the queue for ChIP-seq processing by the modENCODE (later modERN) consortium. Due to the nature of the consortium’s funding, the data were required to be released publicly upon completion. Nevertheless, we have provided the first comprehensive analysis of these datasets.

      Strengths: 

      Vora et al. provide a valuable analysis of ChIP-Seq and RNA-Seq datasets, which will be very useful for the community. They also shed light on the mechanism of the BMP-dependent body size control by identifying SMA-3 target genes regulating cuticle collagen synthesis and by showing that downregulation of these genes affects body size in C. elegans. 

      Weaknesses: 

      (1) Although the analysis of the SMA-3 and SMA-9 ChIP-Seq and RNA-Seq data is extremely useful, the goal "to untangle the roles of Smad and Schnurri transcription factors in the developing C. elegans larva", has not been reached. While the role of SMA-3 as a transcriptional activator appears to be quite straightforward, the function of SMA-9 in the BMP signaling remains obscure. The authors write that in SMA-9 mutants, body size is affected, but they do not show any data on the mechanism of this effect. 

      We thank the reviewer for directing our attention to the lack of clarity about SMA-9’s function. We will revise the text to highlight what this study and others demonstrate about SMA-9’s role in body size. We also plan to analyze additional target genes to deepen our model for how SMA-3 and SMA-9 interact functionally to produce a given transcriptional response.

      (2) The authors clearly show that both TFs can bind independently of each other, however, by using distances between SMA-3 and SMA-9 ChIP peaks, they claim that when the peaks are close these two TFs act as complexes. In the absence of proof that SMA-3 and SMA-9 physically interact (e.g. that they co-immunoprecipitate - as they do in Drosophila), this is an unfounded claim, which should either be experimentally substantiated or toned down. 

      A physical interaction between Smads and Schnurri has been amply demonstrated in other systems. The limitation in the previous work is that only a small number of target genes was analyzed. Our goal in this study was to determine how widespread this interaction is on a genomic scale.  Our analyses demonstrate for the first time that a Schnurri transcription factor has significant numbers of both Smad-dependent and Smad-independent target genes. We will revise the text to clarify this point.

      (3) The second part of the paper (the collagen story) is very loosely connected to the first part. dpy-11 encodes an enzyme important for cuticle development, and it is a differentially expressed direct target of SMA-3. dpy-11 can be bound by SMA-9, but it is not affected by this binding according to RNA-Seq. Thus, technically, this part of the paper does not require any information about SMA-9. However, this can likely be improved by addressing the function of the 15 genes, with the opposing mode of regulation by SMA-3 and SMA-9. 

      We appreciate this suggestion and will clarify how SMA-9 and its target genes contribute to collagen organization and body size regulation.

      (4) The Discussion does not add much to the paper - it simply repeats the results in a more streamlined fashion. 

      We thank the reviewer for this suggestion. We will add more context to the Discussion.

      Reviewer #2 (Public Review): 

      In the present study, Vora et al. elucidated the transcription factors downstream of the BMP pathway components Smad and Schnurri in C. elegans and their effects on body size. Using a combination of a broad range of techniques, they compiled a comprehensive list of genome-wide downstream targets of the Smads SMA-3 and SMA-9. They found that both proteins have an overlapping spectrum of transcriptional target sites they control, but also unique ones. Thereby, they also identified genes involved in one-carbon metabolism or the endoplasmic reticulum (ER) secretory pathway. In an elaborate effort, the authors set out to characterize the effects of numerous of these targets on the regulation of body size in vivo as the BMP pathway is involved in this process. Using the reporter ROL-6::wrmScarlet, they further revealed that not only collagen production, as previously shown, but also collagen secretion into the cuticle is controlled by SMA-3 and SMA-9. The data presented by Vora et al. provide in-depth insight into the means by which the BMP pathway regulates body size, thus offering a whole new set of downstream mechanisms that are potentially interesting to a broad field of researchers. 

      The paper is mostly well-researched, and the conclusions are comprehensive and supported by the data presented. However, certain aspects need clarification and potentially extended data. 

      (1) The BMP pathway is active during development and growth. Thus, it is logical that the data shown in the study by Vora et al. is based on L2 worms. However, it raises the question of if and how the pattern of transcriptional targets of SMA-3 and SMA-9 changes with age or in the male tail, where the BMP pathway also has been shown to play a role. Is there any data to shed light on this matter or are there any speculations or hypotheses? 

      We agree that these are intriguing questions and we are interested in the roles of transcriptional targets at other developmental stages and in other physiological functions, but these analyses are beyond the scope of the current study.

      (2) As it was shown that SMA-3 and SMA-9 potentially act in a complex to regulate the transcription of several genes, it would be interesting to know whether the two interact with each other or if the cooperation is more indirect. 

      A physical interaction between Smads and Schnurri has been amply demonstrated in other systems. Our goal in this study was not to validate this physical interaction, but to analyze functional interactions on a genome-wide scale.

      (3) It would help the understanding of the data even more if the authors could specifically state if there were collagens among the genes regulated by SMA-3 and SMA-9 and which. 

      We thank the reviewer for this suggestion and will add the requested information in the text.

      (4) The data on the role of SMA-3 and SMA-9 in the regulation of the secretion of collagens from the hypodermis is highly intriguing. The authors use ROL-6 as a reporter for the secretion of collagens. Is ROL-6 a target of SMA-9 or SMA-3? Even if this is not the case, the data would gain even more strength if a comparable quantification of the cuticular levels of ROL-6 were shown in Figure 6, and potentially a ratio of cuticular versus hypodermal levels. By that, the levels of secretion versus production can be better appreciated. 

      rol-6 has been identified as a transcriptional target of this pathway. The level of ROL-6 protein, however, is not changed in sma-3 and sma-9 mutants, indicating that there is post-transcriptional compensation. We will include these data in the revised manuscript.

      (5) It is known that the BMP pathway controls several processes besides body size. The discussion would benefit from a broader overview of how the identified genes could contribute to body size. The focus of the study is on collagen production and secretion, but it would be interesting to have some insights into whether and how other identified proteins could play a role or whether they are likely to not be involved here (such as the ones normally associated with lipid metabolism, etc.). 

      We will add this information to the Discussion.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      Work by Brosseau et. al. combines NMR, biochemical assays, and MD simulations to characterize the influence of the C-terminal tail of EmrE, a model multi-drug efflux pump, on proton leak. The authors compare the WT pump to a C-terminal tail deletion, delta_107, finding that the mutant has increased proton leak in proteoliposome assays, shifted pH dependence with a new titratable residue, faster-alternating access at high pH values, and reduced growth, consistent with proton leak of the PMF.

      Strengths:

      The work combines thorough experimental analysis of structural, dynamic, and electrochemical properties of the mutant relative to WT proteins. The computational work is well aligned in vision and analysis. Although all questions are not answered, the authors lay out a logical exploration of the possible explanations.

      Weaknesses:

      There are a few analyses that are missing and important data left out. For example, the relative rate of drug efflux of the mutant should be reported to justify the focus on proton leak. Additionally, the correlation between structural interactions should be directly analyzed and the mutant PMF also analyzed to justify the claims based on hydration alone. Some aspects of the increased dynamics at high pH due to a potential salt bridge are not clear.

      Reviewer #2 (Public review):

      Summary:

      This manuscript explores the role of the C-terminal tail of EmrE in controlling uncoupled proton flux. Leakage occurs in the wild-type transporter under certain conditions but is amplified in the C-terminal truncation mutant D107. The authors use an impressive combination of growth assays, transport assays, NMR on WT and mutants with and without key substrates, classical MD, and reactive MD to address this problem. Overall, I think that the claims are well supported by the data, but I am most concerned about the reproducibility of the MD data, initial structures used for simulations, and the stochasticity of the water wire formation. These can all be addressed in a revision with more simulations as I point out below. I want to point out that the discussion was very nicely written, and I enjoyed reading the summary of the data and the connection to other studies very much.

      Strengths:

      The Henzler-Wildman lab is at the forefront of using quantitative experiments to probe the peculiarities in transporter biophysics, and the MD work from the Voth lab complements the experiments quite well. The sheer number of different types of experimental and computational approaches performed here is impressive.

      Weaknesses:

      The primary weaknesses are related to the reproducibility of the MD results with regard to the formation of water wires in the WT and truncation mutant. This could be resolved with simulations starting from structures built using very different loops and C-terminal tails.

      The water wire gates identified in the MD should be tested experimentally with site-directed mutagenesis to determine if those residues do impact leak.

      We appreciate the reviewers thoughtful consideration of our manuscript, and their recognition of the variety of experimental and computational approaches we have brought to bear in probing the very challenging question of uncoupled proton leak through EmrE.

      We did record SSME measurements with MeTPP+, a small molecule substrate at two different protein:lipid ratios. These experiments report the rate of net flux when both proton-coupled substrate antiport and substrate-gated proton leak are possible. We will add this data to the revision, including data acquired with different lipid:protein ratio that confirms we are detecting transport rather than binding. In brief, this data shows that the net flux is highly dependent on both proton concentration (pH) and drug-substrate concentration, as predicted by our mechanistic model. This demonstrates that both types of transport contribute to net flux when small molecule substrates are present.

      In the absence of drug-substrate, proton leak is the only possible transport pathway. The pyranine assay directly assesses proton leak under these conditions and unambiguously shows faster proton entry into proteoliposomes through the ∆107-EmrE mutant than through WT EmrE, with the rate of proton entry into ∆107-EmrE proteoliposomes matching the rate of proton entry achieved by the protonophore CCCP. We have revised the text to more clearly emphasize how this directly measures proton leak independently of any other type of transport activity. The SSME experiments with a proton gradient only (no small molecule substrate present) provide additional data on shorter timescales that is consistent with the pyranine data. The consistency of the data across multiple LPRs and comparison of transport to proton leak in the SSME assays further strengthens the importance of the C-terminal tail in determining the rate of flux.

      None of the current structural models have good resolution (crystallography, EM) or sufficient restraints (NMR) to define the loop and tail conformations sufficiently for comparison with this work. We are in the process of refining an experimental structure of EmrE with better resolution of the loop and tail regions implicated in proton-entry and leak. Direct assessment of structural interactions via mutagenesis is complicated because of the antiparallel homodimer structure of EmrE. Any point mutation necessarily affects both subunits of the dimer, and mutations designed to probe the hydrophobic gate on the more open face of the transporter also have the potential to disrupt closure on the opposite face, particularly in the absence of sufficient resolution in the available structures. Thus, mutagenesis to test specific predicted structural features is deferred until our structure is complete so that we can appropriately interpret the results.

      In our simulation setup, the MD results can be considered representative and meaningful for two reasons. First, the C-terminal tail, not present in the prior structure and thus modeled by us, is only 4 residues long. We will show in the revision and detailed response that the system will lose memory of its previous conformation very quickly, such that velocity initialization alone is enough for a diverse starting point. Second, our simulation is more like simulated annealing, starting from a high free energy state to show that, given such random initialization, the tail conformation we get in the end is consistent with what we reported. It is also difficult to sample back-and-forth tail motion within a realistic MD timescale. Therefore, it can be unconclusive to causally infer the allosteric motions with unbiased MD of the wildtype alone. The best viable way is to look at the equilibrium statistics of the most stable states between WT- and ∆107-EmrE and compare the differences.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      The work is well done and well presented. In my opinion, the authors must address the following questions.

      (1) It is unclear to a non-SSME-expert, why the net charge translocated in delta_107 is larger than in WT. For such small pH gradients (0.5-1pH unit), it seems that only a few protons would leave the liposome before the internal pH is adjusted to be the same as the external. This number can be estimated given the size of the liposomes. What is it? Once the pH gradient is dissipated, no more net proton transport should be observed. So, why would more protons flow out of the mutant relative to WT?

      We appreciate the complexity of both the system and assay and have made revisions to both the main text and SI to address these points more clearly. While we can estimate liposomes size, we cannot easily quantify the number of liposomes on the sensor surface so cannot calculate the amount of charge movement as suggested by the reviewer. We have revised Fig. 3.2 and added additional data at low and high pH with different lipid to protein ratios to distinguish pre-steady state (proton release from the protein) and steady state processes (transport). An extended Fig. 3.2 caption and revised discussion in the main text clarify these points.

      We have also revised SI figure 3.2 to include an example of transport driven by an infinite drug gradient. Drug-proton antiport results in net charge build-up in the liposome since two protons will be driven out for every +1 drug transported in. This also creates a pH gradient is created (higher proton concentration outside). The negative inside potential inhibits further antiport of drug. However, both the negative-inside potential and proton gradient will drives protons back into the liposome if there is a leak pathway available. This is clearly visible with a reversal of current negative (antiport) to positive (proton backflow), and the magnitude of this back flow is larger for ∆107-EmrE which lacks the regulatory elements provided by the C-terminal tail. We have amended the main text and SI to include this discussion.

      (2) Given the estimated rate of transport, size of liposomes, and pH gradient, how quickly would the SSME liposomes reach pH balance?

      Since SSME measurements are due to capacitive coupling and will represent the net charge movement, including pre-steady state contributions, the current values will be incredibly sensitive to individual rates of alternating access, proton and drug on- and off-rates. Time to pH balance would, therefore, differ based on the construct, LPR, absolute pH or drug concentrations as well as the magnitude of the given gradients. For this reason, we necessarily use integrated currents (transported charge over time) when comparing mutants as it reflects kinetic differences inherent to the mutant without over-processing the data, for example, by normalizing to peak currents which would over emphasize certain properties that will differ across mutants. This process allows for qualitative comparisons by subjecting mutants to the same pH and substrate gradients when the same density of transporter construct is present, and care is given to not overstate the importance of the actual quantities of charges that are moving as they will be highly context dependent. This is clearly seen in Fig 3.2 where the current is not zero and the net transported charge is still changing at the end of 1 second. We have amended SI figure 3.2 and the main text to include this discussion.

      (3) Given that H110 and E14 would deprotonate when the external pH is elevated above 7 and that these protons would be released to external bulk, the external bulk pH would decrease twice as much for WT compared to delta107. This would decrease the pH gradient for WT relative to the mutant. Can these effects be quantified and accounted for? Would this ostensibly decrease the amount of charge that transfers into the liposomes for WT? How would this impact the current interpretation that the two systems are driven by the same gradient?

      The reviewer is correct that there will be differences in deprotonation of WT and ∆107 and the amount of proton release will also change with pH. We have amended Figure 3.2 to clarify this difference and its significance. For the proton gradient only conditions in Figure 3, each set of liposomes were equilibrated to the starting pH by repeated washings and incubation before measurement occurred. For example, for the pH 6.5 inside, pH 7 outside condition, both the inside and outside pH were equilibrated at 6.5, and both E14 residues will be predominantly protonated in WT and ∆107, and H110 will be predominantly protonated in WT-EmrE. Upon application of the external pH 7 solution, protons will be released from the E14 of either construct, with additional proton being released from H110 for WT-EmrE causing a large pre-steady state negative contribution to the signal (Fig. 3.2A). Under this pH condition, we the peak current correlates with the LPR, as this release of protons will depend on density of the transporter. However, we also see that the longer-time decay of the signal correlates with the construct (WT or ∆107) and is relatively independent of LPR, consistent with a transport process rather than a rapid pre-steady state release of protons. Therefore, when we look at the actual transported charge over time, despite the higher contribution of proton release to the WT-EmrE signal, the significant increase in uncoupled proton transport for the C-terminal deletion mutant dominates the signal.

      As a contrast, we apply this same analysis to the pH 8 inside, pH 8.5 outside condition where both sets of transports will be deprotonated from the start (Fig. 3.2B). Now the peak currents, decay rates, and transported charge over time are all consistent for a given construct (WT or ∆107). The two LPRs for an individual construct match within error, as the differences in overall charge movement and transported charge over time are independent of pre-steady-state proton release from the transporter at high pH.

      (4) A related question, how does the protonation of H110 influence the potential rate of proton transport between the two systems? Does the proton on H110 transfer to E14?

      The protonation of H110 will only influence the rate of transport of WT-EmrE as its protonation is required for formation of the hydrogen bonding network that coordinates gating. However, protonation of both E14s will influence the rate of proton transport of both systems as protonation state affects the rate of alternating access which is necessary for proton turnover. This is another reason we use the transported charge over time metric to compare mutants as it allows for a common metric for mutants with altered rates which are present in the same density and under the same gradient conditions. We do not have any evidence to support transfer of proton from H110 to E14, but there is also no evidence to exclude this possibility. We do not discuss this in the manuscript because it would be entirely speculative.

      (5) Is the pKa in the simulations (Figure 6B) consistent with the experiment?

      We calculated the pKa from this WT PMF and got a pKa of 7.1, which is in close proximity of the experimental value of 6.8

      (6) Why isn't the PMF for delta_107 compared to WT to corroborate the prediction that hydration sufficiently alters both the rate and pKa of E14?

      We appreciate the reviewer’s suggestion and agree that a direct comparison would be valuable. However, several factors limit the interpretability of such an analysis in this context:

      (a) Our data indicate that the primary difference in free energy barriers between WT and Δ107 lies in the hydration step rather than proton transport itself. To fully resolve this, a 2D PMF calculation via 2D umbrella sampling would be required which can be very expensive. Solely looking at the proton transport side of this PMF will not give much difference.

      (b) Given this, the aim for us to calculate this PMF is to support our conjecture that the bottleneck for such transport is the hydrophobic gate.

      (7) The authors suggest that A61 rotation 'controls the water wire formation' by measuring the distribution of water connectivity (water-water distances via logS) and average distances between A61 and I68/I67. Delta_107 has a larger inter-residue distance (Figure 6A) more probable small log S closer waters connecting E14 and two residues near the top of the protein (Figure 5A). However, it strikes me that looking at average distances and the distribution of log S is not the best way to do this. Why not quantify the correlation between log S and A61 orientation and/or A61-I68/I71 distances as well as their correlation to the proposed tail interactions (D84-R106 interactions) to directly verify the correlation (and suggest causation) of these interactions on the hydration in this region. Additionally, plotting the RMSD or probability of waters below I68 and I171 as a function of A61-I68 distances and/or numbers over time would support the log S analysis.

      The reviewer requested that we provide direct correlation analyses between A61 orientation, residue distances (A61-I68/I71), and water connectivity (logS) to better support the claim about water wire formation, rather than relying solely on average distances and distributions.

      We appreciate the reviewer’s suggestion to strengthen our analysis with direct correlations. However, due to the slow kinetics of hydration/dehydration events, unbiased simulation timescales do not permit sufficient sampling of multiple transitions to perform statistically robust dynamic correlation analyses. Instead, our approach focuses on equilibrium statistics, which reveal the dominant conformational states of WT- and Δ107-EmrE and provide meaningful insights into shifts in hydration patterns.

      (8) It looks like the D84-R106 salt bridge controls this A61-I68 opening. Could this also be quantifiably correlated?

      As discussed in response to the previous question, the unbiased simulation timescales do not permit sufficient sampling of multiple transitions to perform statistically robust dynamic correlation analyses.

      (9) The NMR results show that alternating access increases in frequency from ~4/s for WT at low and high pH to ~17/s for delta_107 only at high pH. They then go on to analyze potential titration changes in the delta_107 mutant, finding two residues with approximate pKa values of 5.6 and 7.1. The former is assigned to E14, consistent with WT. But the latter is suggested to be either D84, which salt bridges to R106, or the C-terminal carboxylate. If it is D84, why would deprotonation, which would be essential to form the salt bridge, increase the rate of alternating access relative to WT?

      We note that the faster alternating access rate was observed for TPP+-bound ∆107-EmrE, not the transporter in the absence of substrate. In the absence of substrate the relatively broad lines preclude quantitative determination of the alternating access rate by NMR making it difficult to judge the validity of the reviewers reasoning. Identification of which residue (D84 or H110) corresponds to the shifted pKa is ultimately of little consequence as this mutant does not reflect the native conditions of the transporter. It is far more important to acknowledge that both R106 and D84 are sensitive to this deprotonation as it indicates these residues are close in space and provides experimental support for the existence of the salt bridge identified in the MD simulations, as discussed in the manuscript.

      (10) In a more general sense, can the authors speculate why an efflux pump would evolve this type of secondary gate that can be thrown off by tight binding in the allosteric site such as that demonstrated by Harmane? What potential advantage is there to having a tail-regulated gate?

      This was likely a necessity to allow for better coupling as these transporters evolved to be more promiscuous. The C-terminal tail is absent in tightly coupled family members such as Gdx who are specific for a single substrate and have a better-defined transport stoichiometry. We have included this discussion in the main text and are currently investigating this phenomenon further. Those experiments are beyond the scope of the current manuscript.

      (11) It is hard to visualize the PT reaction coordinate. Is the e_PT unit vector defined for each window separately based on the initial steered MD pathway? If so, how reliant is the PT pathway on this initial approximate path? Also, how does this position for each window change if/when E14 rotates? This could be checked by plotting the x,y,z distributions for each window and quantifying the overlap between windows in cartesian space. These clouds of distributions could also be plotted in the protein following alignment so the reader can visualize the reaction coordinate. Does the CEC localization ever stray to different, disconnected regions of cartesian phase space that are hidden by the reaction coordinate definition?

      The unit vector e_PT is the same across all windows based on unbiased MD. Therefore, the reaction coordinate (a scalar) is the vector from the starting point to the CEC, projected on this unit vector. E14 rotation does not significantly change the window definition a lot unless the CEC is very close to E14, where we found this to be a better CV. For detailed discussions about this CV, especially a comparison between a curvilinear CV, please see J. Am. Chem. Soc. 2018, 140, 48, 16535–16543 “Simulations of the Proton Transport” and its SI Figure S1.In the Supplementary Information, we added figure 6.1 to show the average X, Y, Z coordinates of each umbrella window.

      (12) Lastly, perhaps I missed it, but it's unclear if the rate of substrate efflux is also increased in the delta_107 mutant. If this is also increased, then the overall rate of exchange is faster, including proton leak. This would be important to distinguish since the focus now is entirely on proton leaks. I.e., is it only leak or is it overall efflux and leak?

      We have amended SI figure 3.2 to include a gradient condition where an infinite drug gradient is created across the liposome. The infinite gradient allows for rapid transport of drug into the liposomes until charge build-up opposes further transport. This peak is at the same time for both LPRs of WT- and ∆107-EmrE suggesting the rate of substrate transport is similar. Differences in the peak heights across LPRs can be attributed to competition between drug and proton for the primary binding site such that more proton will be released for the higher density constructs as described above. This process does also create a proton gradient as drug moving in is coupled to two protons moving out so as charge build-up inhibits further drug movement, the building proton gradient will also begin to drive proton back in which is another example of uncoupled leak. Here, again we see that this back-flow of protons or leak is of greater magnitude for ∆107-EmrE proteoliposomes that for those with WT-EmrE. We have included this discussion in the SI and main text.

      Minor

      (1) Introduction - the authors describe EmrE as a model system for studying the molecular mechanism of proton-coupled transport. This is a rather broad categorization that could include a wide range of phenomena distal from drug transport across membranes or through efflux pumps. I suggest further specifying to not overgeneralize.

      We revised to note the context of multidrug efflux.

      Reviewer #2 (Recommendations for the authors):

      Simulations. The initial water wire analysis is based on 4 different 1 ms simulations presented in Figure 5. The 3 WT replicates show similar results for the tail-blocking water wire formation, but the details of the system build and loop/C-terminal tail placement are not clear. It does appear that a single C-terminal tail model was created for all WT replicates. Was there also modeling for any parts of the truncation mutant? Regardless, since these initial placements and uncertainties in the structures may impact the results and subsequent water wire formation, I would like a discussion of how these starting structures impacted the formation or not of wires. I think that another WT replicate should be run starting from a completely new build that places the tail in a different (but hopefully reasonable location). This could be built with any number of tools to generate reasonable starting structures. It's critical to ensure that multiple independent simulations across different initial builds show the same water wire behavior so that we know the results are robust and insensitive to the starting structure and stochastic variation.

      We thank Reviewer 2 for their suggestion regarding the discussion of the initial structure. In our simulations, the C-terminal tail was initially modeled in an extended conformation (solvent-exposed) to mimic its disordered state prior to folding. This approach resembles an annealing process, where the system evolves from a higher free-energy state toward equilibrium. Notably, across all three replicas, we observed consistent folding of the tail onto the protein surface, supporting the robustness of this conformational preference.

      For the Δ107 truncation mutant, minimal modeling was required, as most experimental structures resolve residues up to S105 or R106. To rigorously assess the influence of the starting configuration, we analyzed the tail’s dynamics using backbone dihedral angle auto- and cross-correlation functions (new Supplementary Figures 10.1 and 10.2). These analyses reveal rapid decay of correlations—consistent with the tail’s short length (5 residues) and high flexibility—indicating that the system "forgets" its initial configuration well within the simulation timescale. Thus, we conclude that our sampling is sufficient to capture equilibrium behavior, independent of the starting structure.

      What does the size of the barrier in the PMF (Figure 6B) imply about the rate of proton transfer/leak and can the pKa shift of the acidic residue be estimated with this energy value compared to bulk?

      We noticed this point aligns with a related concern raised by Reviewer 1. For a detailed discussion please refer to Point 5 in our response to Reviewer 1.

      Experimental validation. The hypotheses generated by this work would be better buttressed if there were some mutation work at the hydrophobic gate (61, 68, 71) to support it. I realize that this may be hard, but it would significantly improve the quality.

      Due to the small size of the transporter, any mutagenesis of EmrE should necessarily be accompanied by functional characterization to fully assess the effects of the mutation on rate-limiting steps. We have revised the manuscript to add a discussion of the challenges with analyzing simple point mutants and citing what is known from prior scanning mutagenesis studies of EmrE.

    1. Reviewer #1 (Public review):

      Summary:

      This study addresses the roles of polyunsaturated fatty acids (PUFAs) in animal physiology and membrane function. A C. elegans strain carrying the fat-2(wa17) mutation possesses a very limited ability to synthesize PUFAs and there is no dietary input because the E. coli diet consumed by lab grown C. elegans does not contain any PUFAs. The fat-2 mutant strain was characterized to confirm that the worms grow slowly, have rigid membranes, and have a constitutive mitochondrial stress response. The authors showed that chemical treatments or mutations known to increase membrane fluidity did not rescue growth defects. A thorough genetic screen was performed to identify genetic changes to compensate for the lack of PUFAs. The newly isolated suppressor mutations that compensated for FAT-2 growth defects included intergenic suppressors in the fat-2 gene, as well as constitutive mutations in the hypoxia sensing pathway components EGL-9 and HIF-1, and loss of function mutations in ftn-2, a gene encoding the iron storage protein ferritin. Taken together, these mutations lead to the model that increased intracellular iron, an essential cofactor for fatty acid desaturases, allows the minimally functional FAT-2(wa17) enzyme to be more active, resulting in increased desaturation and increased PUFA synthesis.

      Strengths:

      (1) This study provides new information further characterizing fat-2 mutants. The authors measured increased rigidity of membranes compared to wild type worms, however this rigidity is not able to be rescued with other fluidity treatments such as detergent or mutants. Rescue was only achieved with polyunsaturated fatty acid supplementation.

      (2) A very thorough genetic suppressor screen was performed. In addition to some internal fat-2 compensatory mutations, the only changes in pathways identified that are capable of compensating for deficient PUFA synthesis was the hypoxia pathway and the iron storage protein ferritin. Suppressor mutations included an egl-9 mutation that constitutively activates HIF-1, and Gain of function mutations in hif-1 that are dominant. This increased activity of HIF conferred by specific egl-9 and hif-1 mutations lead to decreased expression of ftn-2. Indeed, loss of ftn-2 leads to higher intracellular iron. The increased iron apparently makes the FAT-2 fatty acid desaturase enzyme more active, allowing for the production of more PUFAs.

      (3) The mutations isolated in the suppressor screen show that the only mutations able to compensate for lack of PUFAs were ones that increased PUFA synthesis by the defective FAT-2 desaturase, thus demonstrating the essential need for PUFAs that cannot be overcome by changes in other pathways. This is a very novel study, taking advantage of genetic analysis of C. elegans, and it confirms the observations in humans that certain essential PUFAs are required for growth and development.

      (4) Overall, the paper is well written, and the experiments were carried out carefully and thoroughly. The conclusions are well supported by the results.

      Weaknesses:

      Overall, there are not many weaknesses. The main one I noticed is that the lipidomic analysis shown in Figs 3C, 7C, S1 and S3. While these data are an essential part of the analysis and provide strong evidence for the conclusions of the study, it is unfortunate that the methods used did not enable the distinction between two 18:1 isomers. These two isomers of 18:1 are important in C. elegans biology, because one is a substrate for FAT-2 (18:1n-9, oleic acid) and the other is not (18:1n-7, cis vaccenic acid). Although rarer in mammals, cis-vaccenic acid is the most abundant fatty acid in C. elegans and is likely the most important structural MUFA. The measurement of these two isomers is not essential for the conclusions of the study.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      In this manuscript, the authors present a novel CRISPR/Cas9-based genetic tool for the dopamine receptor dop1R2. Based on the known function of the receptor in learning and memory, they tested the efficacy of the genetic tool by knocking out the receptor specifically in mushroom body neurons. The data suggest that dop1R2 is necessary for longer-lasting memories through its action on ⍺/ß and ⍺'/ß' neurons but is dispensable for short-term memory and thus in ɣ neurons. The experiments impressively demonstrate the value of such a genetic tool and illustrate the specific function of the receptor in subpopulations of KCs for longer-term memories. The data presented in this manuscript are significant.

      Reviewer #2 (Public Review):

      Summary:

      This manuscript examines the role of the dopamine receptor, Dop1R2, in memory formation. This receptor has complex roles in supporting different stages of memory, and the neural mechanisms for these functions are poorly understood. The authors are able to localize Dop1R2 function to the vertical lobes of the mushroom body, revealing a role in later (presumably middle-term) aversive and appetitive memory. In general, the experimental design is rigorous, and statistics are appropriately applied. While the manuscript provides a useful tool, it would be strengthened further by additional mechanistic studies that build on the rich literature examining the roles of dopamine signaling in memory formation. The claim that Dop1R2 is involved in memory formation is strongly supported by the data presented, and this manuscript adds to a growing literature revealing that dopamine is a critical regulator of olfactory memory. However, the manuscript does not necessarily extend much beyond our understanding of Dop1R2 in memory formation, and future work will be needed to fully characterize this reagent and define the role of Dop1R2 in memory.

      Strengths:

      (1) The FRT lines generated provide a novel tool for temporal and spatially precise manipulation of Dop1R2 function. This tool will be valuable to study the role of Dop1R2 in memory and other behaviors potentially regulated by this gene.

      (2) Given the highly conserved role of Dop1R2 in memory and other processes, these findings have a high potential to translate to vertebrate species.

      Weaknesses:

      (1) The authors state Dop1R2 associates with two different G-proteins. It would be useful to know which one is mediating the loss of aversive and appetitive memory in Dop1R2 knockout flies.

      We thank you for the insightful comment. We agree that it would be very useful to know which G-proteins are transmitting Dop1R2 signaling. To that extent, we examined single-cell transcriptomics data to check the level of co-expression of Dop1R2 with G-proteins that are of interest to us. (Figure 1 S1)

      Lines 312-325

      “Some RNA binding proteins and Immediate early genes help maintain identities of Mushroom body cells and are regulators of local transcription and translation (de Queiroz et al., 2025; Raun et al., 2025). So, the availability of different G-proteins may change in different lobes and during different phases of memory. The G-protein via which GPCRs signal, may depend on the pool of available G-proteins in the cell/sub-cellular region (Hermans, 2003)., Therefore, Dop1R2 may signal via different G-proteins in different compartments of the Mushroom body and also different compartments of the neuron. We looked at Gαo and Gαq as they are known to have roles in learning and forgetting (Ferris et al., 2006; Himmelreich et al., 2017). We found that Dop1R2 co-expresses more frequently with Gαo than with Gαq (Figure 1 S1). While there is evidence for Dop1R2 to act via Gαq (Himmelreich et al., 2017). It is difficult to determine whether this interaction is exclusive, or if Dop1R2 can also be coupled to other G-proteins. It will be interesting to determine the breadth of G-proteins that are involved in Dop1R2 signaling.”

      (2) It would be interesting to examine 24hr aversive memory, in addition to 24hr appetitive memory.

      This is indeed an important point and we agree that it will complete the assessment of temporally distinct memory traces. We therefore performed the Aversive LTM experiments and include them in the results.

      Lines 208-228

      “24h memory is impaired by loss of Dop1R2

      Next, we wanted to see if later memory forms are also affected. One cycle of reward training is sufficient to create LTM (Krashes & Waddell, 2008), while for aversive memory, 5-6 cycles of electroshock-trainings are required to obtain robust long-term memory scores (Tully et al., 1994). So, we looked at both, 24h aversive and appetitive memory. For aversive LTM, the flies were tested on the Y-Maze apparatus as described in (Mohandasan et al., (2022).

      Flipping out Dop1R2 in the whole MB causes a reduced 24h memory performance (Figure 4A, E). No phenotype was observed when Ddop1R2 was flipped out in the γ-lobe (Figure 4B, F). However, similar to 2h memory, loss of Ddop1R2 in the α/β-lobes (Figure 4C, G) or the α’/β’-lobes (Figure 4D, H) causes a reduction in memory performance. Thus, Dop1R2 seems to be involved in aversive and appetitive LTM in the α/β-lobes and the α’/β’-lobes.

      Previous studies have shown mutation in the Dop1R2 receptor leads to improvement in LTM when a single shock training paradigm is used (Berry et al., 2012). As we found that it disrupts LTM, we wanted to verify if the absence of Dop1R2 outside the MB is what leads to an improvement in memory. To that extent, we tested panneuronal flip-out of Dop1R2 flies for 6hr and 24hr memory upon single shock using the elav-Gal4 driver. We found that it did not improve memory at both time points (Figure 4 S1). Confirming that flipping out Dop1R2 panneuronally does not improve LTM (Figure 4 S1C) and highlighting its irrelevance in memory outside the MB.”

      (3) The manuscript would be strengthened by added functional analysis. What are the DANs that signal through Dop1R. How do these knockouts impact MBONs?

      We thank you for this question. We indeed agree that it is a highly relevand and open question, how distinct DANs signal via distinct Dopamine receptors. Our work here uniquely focusses on Dop1R2 within the MB. We aim to investigate other DopRs and the connection between DANs in the future using similar approaches.

      (4) Also in Figure 2, the lobe-specific knockouts might be moved to supplemental since there is no effect. Instead, consider moving the control sensory tests into the main figure.

      We thank you for this suggestion and understand that in Figure 2 no significant difference is seen. However, we have emphasized in the text that the results from the supplementary figures are just to confirm that the modifications made at the Dop1R2 locus did not alter its normal function.

      Lines 156-162

      “We wanted to see if flipping out Dop1R2 in the MB affects memory acquisition and STM by using classical olfactory conditioning. In short, a group of flies is presented with an odor coupled to an electric shock (aversive) or sugar (appetitive) followed by a second odor without stimulus. For assessing their memory, flies can freely choose between the odors either directly after training (STM) or at a later timepoint.

      To ensure that the introduced genetic changes to the Dop1R2 locus do not interfere with behavior we first checked the sensory responses of that line”

      (5) Can the single-cell atlas data be used to narrow down the cell types in the vertical lobes that express Dop1R2? Is it all or just a subset?

      This is indeed an interesting question, and we thank you for mentioning it. To address this as best as we could, we analyzed the single cell transcriptomic data from (Davie et al., 2018) and presented it in Figure 1 S1.

      Reviewer #3 (Public Review):

      Summary:

      Kaldun et al. investigated the role of Dopamine Receptor Dop1R2 in different types and stages of olfactory associative memory in Drosophila melanogaster. Dop1R2 is a type 1 Dopamine receptor that can act both through Gs-cAMP and Gq-ERCa2+ pathways. The authors first developed a very useful tool, where tissue-specific knock-out mutants can be generated, using Crispr/Cas9 technology in combination with the powerful Gal4/UAS gene-expression toolkit, very common in fruit flies.

      They direct the K.O. mutation to intrinsic neurons of the main associative memory centre fly brain-the mushroom body (MB). There are three main types of MB-neurons, or Kenyon cells, according to their axonal projections: a/b; a'/b', and g neurons.

      Kaldun et al. found that flies lacking dop1R2 all over the MB displayed impaired appetitive middle-term (2h) and long-term (24h) memory, whereas appetitive short-term memory remained intact. Knocking-out dop1R2 in the three MB neuron subtypes also impaired middle-term, but not short-term, aversive memory.

      These memory defects were recapitulated when the loss of the dop1R2 gene was restricted to either a/b or a'/b', but not when the loss of the gene was restricted to g neurons, showcasing a compartmentalized role of Dop1R2 in specific neuronal subtypes of the main memory centre of the fly brain for the expression of middle and long-term memories.

      Strengths:

      (1) The conclusions of this paper are very well supported by the data, and the authors systematically addressed the requirement of a very interesting type of dopamine receptor in both appetitive and aversive memories. These findings are important for the fields of learning and memory and dopaminergic neuromodulation among others. The evidence in the literature so far was generated in different labs, each using different tools (mutants, RNAi knockdowns driven in different developmental stages...), different time points (short, middle, and long-term memory), different types of memories (Anesthesia resistant, which is a type of protein synthesis independent consolidated memory; anesthesia sensitive, which is a type of protein synthesis-dependent consolidated memory; aversive memory; appetitive memory...) and different behavioral paradigms. A study like this one allows for direct comparison of the results, and generalized observations.

      (2) Additionally, Kaldun and collaborators addressed the requirement of different types of Kenyon cells, that have been classically involved in different memory stages: g KCs for memory acquisition and a/b or a'/b' for later memory phases. This systematical approach has not been performed before.

      (3) Importantly, the authors of this paper produced a tool to generate tissue-specific knock-out mutants of dop1R2. Although this is not the first time that the requirement of this gene in different memory phases has been studied, the tools used here represent the most sophisticated genetic approach to induce a loss of function phenotypes exclusively in MB neurons.

      Weaknesses:

      (1) Although the paper does have important strengths, the main weakness of this work is that the advancement in the field could be considered incremental: the main findings of the manuscript had been reported before by several groups, using tissue-specific conditional knockdowns through interference RNAi. The requirement of Dop1R2 in MB for middle-term and long-term memories has been shown both for appetitive (Musso et al 2015, Sun et al 2020) and aversive associations (Plaçais et al 2017).

      Thank you for this comment. We believe that the main takeaway from the paper is the elegant tool we developed, to study the role of Dop1R2 in fruit flies by effectively flipping it out spatio-temporally. Additionally, we studied its role in all types of olfactory associative memory to establish it as a robust tool that can be used for further research in place of RNAi knockouts which are shown to be less efficient in insects as mentioned in the texts in line 394-398.

      “The genetic tool we generated here to study the role of the Dop1R2 dopamine receptor in cells of interest, is not only a good substitute for RNAi knockouts, which are known to be less efficient in insects (Joga et al., 2016), but also provides versatile possibilities as it can be used in combination with the powerful genetic tools of Drosophila.”

      (2) The approach used here to genetically modify memory neurons is not temporally restricted. Considering the role of dopamine in the correct development of the nervous system, one must consider the possible effects that this manipulation can have in the establishment of memory circuits. However, previous studies addressing this question restricted the manipulation of Dop1R2 expression to adulthood, leading to the same findings than the ones reported in this paper for both aversive and appetitive memories, which solidifies the findings of this paper.

      We thank you for this comment and we agree that it would be important to show a temporally restricted effect of Dop1R2 knockout. To assess this and rule out potential developmental defects we decided to restrict the knockout to the post-eclosion stage and to include these results.

      Lines 230-250

      “Developmental defects are ruled out in a temporally restricted Dop1R2 conditional knockout.

      To exclude developmental defects in the MB caused by flip-out of Dop1R2, we stained fly brains with a FasII antibody. Compared to genetic controls, flies lacking Dop1R2 in the mushroom body had unaltered lobes (Figure 4 S2C).

      Regardless, we wanted to control for developmental defects leading to memory loss in flip-out flies. So, we generated a Gal80ts-containing line, enabling the temporal control of Dop1R2 knockout in the entire mushroom body (MB). Given that the half-life of the receptor remains unknown, we assessed both aversive short-term memory (STM) and long-term memory (LTM) to determine whether post-eclosion ablation of Dop1R2 in the MB produced differences compared to our previously tested line, in which Dop1R2 was constitutively knocked out from fertilization. To achieve this, flies were maintained at 18°C until eclosion and subsequently shifted to 30°C for five to seven days. On the fifth day, training was conducted, followed by memory testing. Our results indicate that aversive STM was not significantly impaired in Dop1R2-deficient MBs compared to control flies (Figure 4 S3), consistent with our previous findings (Figure 2). However, aversive LTM was significantly impaired relative to control lines (Figure 4 S3), which also aligned with prior observations. These findings strongly indicate that memory loss caused by Dop1R2 flip-out is not due to developmental defects.”

      (3) The authors state that they aim to resolve disparities of findings in the field regarding the specific role of Dop1R2 in memory, offering a potent tool to generate mutants and addressing systematically their effects on different types of memory. Their results support the role of this receptor in the expression of long-term memories, however in the experiments performed here do not address temporal resolution of the genetic manipulations that could bring light into the mechanisms of action of Dop1R2 in memory. Several hypotheses have been proposed, from stabilization of memory, effects on forgetting, or integration of sequences of events (sensory experiences and dopamine release).

      We thank you for this comment. We agree that it would be interesting to dissect the memory stages by knocking out the receptor selectively in some of them (encoding, consolidation, retrieval). However, our tool irreversibly flips out Dop1R2 preventing us from investigating the receptor’s role in retrieval. Our results show that the receptor is dispensable for STM formation (Figure 2, Figure 4 Supplement 3), suggesting that it is not involved in encoding new information. On the other hand, it is instead involved in consolidation and/or retrieval of long-term and middle-term memories (Figure 3, Figure 4, Figure 5B).

      Overall, the authors generated a very useful tool to study dopamine neuromodulation in any given circuit when used in combination with the powerful genetic toolkit available in Drosophila. The reports in this paper confirmed a previously described role of Dop1R2 in the expression of aversive and appetitive LTM and mapped these effects to two specific types of memory neurons in the fly brain, previously implicated in the expression and consolidation of long-term associative memories.

      Recommendations for the authors:

      Reviewer #1 (Recommendations For The Authors):

      (1) On the first view, the results shown here are different from studies published earlier, while in the same line with others (e.g. Sun et al, for appetitive 24h memories). For example, Berry et al showed that the loss of dop1R2 impairs immediate memory, while memory scores are enhanced 3h, 6h, and 24h after training. Further, they showed data that shock avoidance, at least for higher shock intensities, is reduced in mutant (damb) flies. All in all, this favors how important it is to improve the genetic tools for tissue-specific manipulation. Despite the authors nicely discussing their data with respect to the previous studies, I wondered whether it would be suitable to use the new tool and knock out dop1R2 panneuronally to see whether the obtained data match the results published by Berry et al.. Further, as stated in line 105ff: "As these studies used different learning assays - aversive and appetitive respectively as well as different methods, it is unclear if Dop1R2 has different functions for the different reinforcement stimulus" I wondered why the authors tested aversive and appetitive learning for STM and 2h memory, but only appetitive memory for 24h.

      Thank you for this comment. To that extent, as mentioned above in response to reviewer #2, we included in the results the aversive LTM experiment (Figure 4). Moreover, we performed experiments along the line of Berry et al. using our tool as shown in Figure 4 S1. Our results support that Dop1R2 is required for LTM, rather than to promote forgetting.

      (2) Line 165ff: I can´t find any of the supplementary data mentioned here. Please add the corresponding figures.

      Thank you for pointing this out. In that line we don’t refer to any supplementary data, but to the Figure 1F, showing the absence of the HA-tag in our MB knock-out line. We have clarified this in the text (lines 151-153)

      (3) I can't imagine that the scale bar in Figure 1D-F is correct. I would also like to suggest to show a more detailed analysis of the expression pattern. For example, both anterior and posterior views would be appropriate, perhaps including the VNC. This would allow the expression pattern obtained with this novel tool to be better compared with previously published results. Also, in relation to my comment above (1), it may help to understand the functional differences with previous studies, especially as the authors themselves state that the receptor is "mainly" expressed in the mushroom body (line 99). It would be interesting to see where else it is expressed (if so). This would also be interesting for the panneuronal knockdown experiment suggested under (1). If the receptor is indeed expressed outside the mushroom body, this may explain the differences to Berry et al.

      Thank you for noting this, there was indeed a mistake in the scale bar which we now fixed. Since with our HA-tag immunostaining we could not detect any noticeable signal outside of the MB, we decided to analyze previously existing single cell transcriptomics data that showed expression of the receptor in 7.99% of cells in the VNC and in 13.8% of cells outside the MB (lines 98-100) confirming its sparse expression in the nervous system. The lack of detection of these cells is likely due to the sparse and low expression of the protein. The HA-tag allows to detect the endogenous level of the locus (it is possible that a Gal4/UAS amplification of the signal might allow to detect these cells).

      Regarding the panneuronal knockout, we decided to try to replicate the experiment shown in Berry et al. in Figure 4 S1 and found that Dop1R2 is required for LTM.

      (4) Related to learning data shown in Figures 2-4, the authors should show statistical differences between all groups obtained in the ANOVA + PostHoc tests. Currently, only an asterisk is placed above the experimental group, which does not adequately reflect the statistical differences between the groups. In addition, I would like to suggest adding statistical tests to the chance level as it may be interesting to know whether, for example, scores of knockout flies in 3C and 3D are different from the chance level.

      Many thanks for this correction, we agree with the fact that the way significance scores were shown was not informative enough. We fixed the point by now showing significance between all the control groups and the experimental ones. We also inserted the chance level results in the figure legends.

      (5) Unfortunately, the manuscript has some typing errors, so I would like to ask the authors to check the manuscript again carefully.

      Some Examples:

      Line 31: the the

      Line 56: G-Protein

      Line 64: c-AMP

      Line 68: Dopamine

      Line 70: G-Protein (It alternates between G-protein and G-Protein)

      Line 76: References are formatted incorrectly

      Line 126: Ha-Tag (It alternates between Ha and HA)

      Line 248: missing space before the bracket...is often found

      Thank you for noticing these errors, we have now corrected the spelling throughout the manuscript.

      (6) In the figures the axes are labelled Preference Index (Pref"I"). In the methods, however, the calculation formula is defined as "PREF".

      We thank you for drawing attention to this. To avoid confusion, we changed the definition in the methods section so that it could be clear and coherent (“Memory tests” paragraph in the methods section).

      “PREF = ((N<sub>arm1</sub> - N<sub>arm2</sub>) 100) / N<sub>total</sub> the two preference indices were calculated from the two reciprocal experiments. The average of these two PREFs gives a learning index (LI). LI = (PREF<sub>1</sub> + PREF<sub>2</sub>) / 2.

      In case of all Long-term Aversive memory experiments, Y-Maze protocol was adapted to test flies 24 hours post training. Testing using the Y-Maze was done following the protocol as described in (Mohandasan et al., 2022) where flies were loaded at the bottom of 20-minutes odorized 3D-printed Y-Mazes from where they would climb up to a choice point and choose between the two odors. The learning index was then calculated after counting the flies in each odorized vial as follows: LI = ((N<sub>CS-</sub> - N<sub>CS+</sub>) 100) / N<sub>total</sub>. Where NCS- and NCS+ are the number of flies that were found trapped in the untrained and trained odor tube respectively.

      Reviewer #2 (Recommendations For The Authors):

      (1) In Figures 2 and 3, the legends running two different subfigures is confusing. Would be helpful to find a different way to present.

      Thank you for your suggestion. We modified how we present legends, placing them vertically so that it is clearer.

      (2) Use additional drivers to verify middle and long-term memory phenotypes.

      We agree that it would be interesting to see the role of Dop1R2 in other neurons. To that extent, we looked at long term aversive memory in flies where the receptor was panneuronaly flipped out, and did not find evidence that suggested involvement of Dop1R2 in memory processes outside the MB. (Figure 4 S1)

      (3) Additional discussion of genetic background for fly lines would be helpful.

      Thank you for your advice. We have mentioned the genetic background of flies in the key resources table of the methods sections. Additionally, we also included further explanation on how the lines were created and their genetic background (see “Fly Husbandry” paragraph in the methods section).

      “UAS-flp;;Dop1R2 cko flies and Gal4;Dop1R2<sup>cko</sup> flies were crossed back with ;;Dop<sup>cko</sup> flies to obtain appropriate genetic controls which were heterozygous for UAS and Gal4 but not Dop1R2<sup>cko</sup>.”

      Reviewer #3 (Recommendations For The Authors):

      Line 109 states that to resolve the problem a tool is developed to knock down Dop1R2 in s spatial and temporal specific manner- while I agree that this is within the potential of the tool, there is no temporal control of the flipase action in this study; at least I cannot find references to the use of target/gene switch to control stages of development or different memory phases. However the version available for download is missing supplementary information, so I did not have access to supplementary figures and tables.

      Thank you for the comment, as mentioned before it would be great to be able to dissect the memory phases. We show in lines 232 – 250 and Figure 4 S3 that the temporally restricted flip-out to the post-eclosion life stage gave us coherent results with the previous findings, ruling out potential developmental defects.

      In relation to my comment on the possible developmental effects of the loss of the gene, Figure 1F could showcase an underdeveloped g lobe when looking at the lobe profiles. I understand this is not within the scope of the figure, but maybe a different z projection can be provided to confirm there are no obvious anatomical alterations due to the loss of the receptor.

      We understand the doubt about the correct development of the MB and we thank you for your insightful comment. To that extent we decided to perform a FasII immunostaining that could show us the MB in the different lines (Figure 4 S2) and it appears that there are no notable differences in the lobes development in our knockout line.

      It seems that the obvious missing piece of the puzzle would be to address the effects of knocking out Dop1R2 in aversive LTM. The idea of systematically addressing different types of memory at different time points and in different KCs is the most attractive aspect of this study beyond the technical sophistication, and it feels that the aim of the study is not delivered without that component.

      We agree and we thank you for the clarification. As mentioned above in response to Reviewer #2, we decided to test aversive LTM as described in lines –208-228, Figure 4, Figure 4 S1.

      Some statements of the discussion seem too vague, and I think could benefit from editing:

      Line 284 "however other receptors could use Gq and mediate forgetting"- does this refer to other dopamine receptors? Other neuromodulators? Examples?

      Thank you for pointing this out. We Agree and therefore decided to omit this line.

      Line 289 "using a space training protocol and a Dop1R2 line" - this refers to RNAi lines, but it should be stated clearly.

      That is correct, we thank you for bringing attention to this and clarified it in the manuscript.

      –Lines 329-330

      “Interestingly, using a spaced training protocol and a Dop1R2 RNAi knockout line another study showed impaired LTM (Placais et al., 2017).”

      The paragraph starting in line 305 could be re-written to improve clarity and flow. Some statements seem disconnected and require specific citations. For example "In aversive memory formation, loss of Dop1R2 could lead to enhanced or impaired memory, depending on the activated signaling pathways and the internal state of the animal...". This is not accurate. Berry et al 2012 report enhanced LTM performance in dop1R2 mutants whereas Plaçais et al 2017 report LTM defects in Dop1R2 knock-downs, but these different findings do not seem to rely on different internal states or signaling pathways. Maybe further elaboration can help the reader understand this speculation.

      We agree and we thank you for this advice. We decided to add additional details and citations to validate our speculation

      Lines 350-353

      “In aversive memory formation, loss of Dop1R2 could lead to enhanced or impaired memory, depending on the activated signaling pathways. The signaling pathway that is activated further depends on the available pool of secondary messengers in the cell (Hermans, 2003) which may be regulated by the internal state of the animal.”

      "...for reward memory formation, loss of Dop1R2 seems to impair memory", this seems redundant at this point, as it has been discussed in detail, however, citations should be provided in any case (Musso 2015, Sun 2020)

      Thank you for noting this. We recognize the redundancy and decided to exclude the line.

      Finally, it would be useful to additionally refer to the anatomical terminology when introducing neuron names; for example MBON MVP2 (MBON-g1pedc>a/b), etc.

      Thank you for this suggestion. We understand the importance of anatomical terminologies for the neurons. Therefore, we included them when we introduce neurons in the paper.

      We thank you for your observations. We recognize their value, so we have made appropriate changes in the discussion to sound less vague and more comprehensive.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Reviewer #1 (Public review):

      Summary:

      Using highly specific antibody reagents for biological research is of prime importance. In the past few years, novel approaches have been proposed to gain easier access to such reagents. This manuscript describes an important step forward toward the rapid and widespread isolation of antibody reagents. Via the refinement and improvement of previous approaches, the Perrimon lab describes a novel phage-displayed synthetic library for nanobody isolation. They used the library to isolate nanobodies targeting Drosophila secreted proteins. They used these nanobodies in immunostainings and immunoblottings, as well as in tissue immunostainings and live cell assays (by tethering the antigens on the cell surface).

      Since the library is made freely available, it will contribute to gaining access to better research reagents for non-profit use, an important step towards the democratisation of science.

      Strengths:

      (1) New design for a phage-displayed library of high content.

      (2) Isolation of valuble novel tools.

      (3) Detailed description of the methods such that they can be used by many other labs.

      We are grateful for these supportive comments.

      Weaknesses:

      My comments largely concentrate on the representation of the data in the different Figures.

      We have made adjustments according to the reviewer’s recommendations.

      Reviewer #2 (Public review):

      Summary:

      In this study, the authors propose an alternative platform for nanobody discovery using a phage-displayed synthetic library. The authors relied on DNA templates originally created by McMahon et al. (2018) to build the yeast-displayed synthetic library. To validate their platform, the authors screened for nanobodies against 8 Drosophila secreted proteins. Nanobody screening has been performed with phage-displayed nanobody libraries followed by an enzyme-linked immunosorbent assay (ELISA) to validate positive hits. Nanobodies with higher affinity have been tested for immunostaining and immunoblotting applications using Drosophila adult guts and hemolymph, respectively.

      Strengths:

      The authors presented a detailed protocol with various and complementary approaches to select nanobodies and test their application for immunostaining and immunoblotting experiments. Data are convincing and the manuscript is well-written, clear, and easy to read.

      We thank the reviewer for these supportive comments.

      Weaknesses:

      On the eight Drosophila secreted proteins selected to screen for nanobodies, the authors failed to identify nanobodies for three of them. While the authors mentioned potential improvements of the protocol in the discussion, none of them have been tested in this manuscript.

      We prepared all eight antigens by single-step IgG purification (see Materials and Methods) without additional biophysical quality control (e.g., size-exclusion chromatography). Consequently, we cannot definitively determine whether the three “no-binder” cases resulted from the aggregation or misfolding of the antigens, versus gaps in our naive library’s sequence space. While approaches such as additional purification steps or affinity maturation of weak binders would likely rescue these difficult targets, comprehensive pipeline optimization is beyond the scope of establishing and validating the phage-displayed nanobody platform. We have clarified this limitation and suggested these strategies in third paragraph of the Discussion.

      The same comment applies to the experiments using membrane-tethered forms of the antigens to test the affinity of nanobodies identified by ELISA. Many nanobodies fail to recognize the antigens. While authors suggested a low affinity of these nanobodies for their antigens, this hypothesis has not been tested in the manuscript.

      We observed that several nanobodies with strong ELISA signals showed reduced binding to membrane-displayed antigens. This discrepancy may result from low affinity of the nanobodies or differences in post-translational modifications (e.g., glycosylation) and antigen context between secreted IgG-fusion proteins (used for panning/ELISA) and GPI- or mCD8-anchored proteins. In an ongoing work, we have performed affinity maturation of the nanobodies and successfully increased the affinity toward the target antigen. These results will be reported separately.

      Improving the protocol at each step for nanobody selection would greatly increase the success rate for the discovery of nanobodies with high affinity.

      We fully agree that systematic optimization—from antigen preparation (e.g., additional purification steps) through screening conditions (e.g., buffer composition, additional affinity-maturation steps)—could substantially increase the success rate and nanobody affinity. These represent important directions for future work.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      (1) Figure 3. The merge of two GFP channels does not make much sense. Can the authors not use artificial colours? And show the panels at higher resolution, such that a viewer can really see and judge what they are seeing? The same comments apply to all Supplementary Figures.

      We appreciate the reviewer’s comment. In the revised Figure 3, we have replaced the cyan/green overlay with red/green overlay and used enlarged pictures so that GFP-positive cells and corresponding nanobody staining are clearly visible. We applied the same layout to all relevant Supplementary Figures.

      (2) Figure 4. Also, in this Figure, it is not really possible to see what the authors say one should see. The resolution should be higher, and arrows or arrowheads should point to important structures.

      We appreciate the reviewer’s comment. In the revised Figure 4A, we have added arrows to point to the immunostaining signal in cells with smaller nuclei and added inset panels to show a closer view of representative NbMip-4G staining.

      Reviewer #2 (Recommendations for the authors):

      (1) Images are sometimes quite small and difficult to interpret. For example, Figures S2C-D.

      We thank the reviewer for this suggestion. In the revised figures, we have replaced the cyan/green overlay with red/green overlay and used enlarged pictures that clearly show GFP-positive cells alongside their corresponding nanobody staining.

      (2) Supplemental figures are not always cited in the text.

      Thank you for the comment. To eliminate this misunderstanding, we have updated the Nesfatin1 nanobody screen data as Supplementary Figure 1 and Mip nanobody screen data as Supplementary Figure 2. We have made the corresponding changes in the Results section.

    1. Reviewer #1 (Public review):

      Summary:

      Participants in this study completed three visits. In the first, participants received experimental thermal stimulations which were calibrated to elicit three specific pain responses (30, 50, 70) on a 0-100 visual analogue scale (VAS). Experimental pressure stimulations were also calibrated at an intensity to the same three pain intensity responses. In the subsequent two visits, participants completed another pre-calibration check (Visit 2 of 3 only). Then, prior to the exercise NALOXONE or a SALINE placebo-control was administered intravenously. Participants then completed 1 of 4 blocks of HIGH (100%) or LOW (55%) intensity cycling which was tailored according to a functional threshold power (FTP) test completed in Visit 1. After each block of cycling lasting 10 minutes, participants entered an MRI scanner and were stimulated with the same thermal and pressure stimulations that corresponded to 30, 50, and 70 pain intensity ratings from the calibration stage. Therefore, this study ultimately sought to investigate whether aerobic exercise does indeed incur a hypoalgesia effect. More specifically, researchers tested the validity of the proposed endogenous pain modulation mechanism. Further investigation into whether the intensity of exercise had an effect on pain and the neurological activation of pain-related brain centres were also explored. Results show that in the experimental visits (Visit 2 and 3), when participants exercised at two distinct intensities as intended. Power output, heart rate, and perceived effort ratings were higher during the HIGH versus LOW intensity cycling. In particular. HIGH intensity exercise was perceived as "hard" / ~15 on the Borg (1974, 1998) scale, whereas LOW intensity exercise was perceived as "very light" / ~9 on the same scale.

      The fMRI data from Figure 1 indicates that the anterior insula, dorsal posterior insula and middle cingulate cortex show pronounced activation as stimulation intensity and subsequent pain responses increased, thus linking these brain regions with pain intensity and corroborating what many studies have shown before.

      Results also showed that participants rated a higher pain intensity in the NALOXONE condition at all three stimulation intensities compared to the SALINE condition. Therefore, the expected effect of NALOXONE in this study seemed to occur whereby opioid receptors were "blocked" and thus resulted in higher pain ratings compared to a SALINE condition where opioid receptors were "not blocked". When accounting for participant sex, NALOXONE had negligible effects at lower experimental nociceptive stimulations for females compared to males who showed a hyperalgesia effect to NALOXONE at all stimulation intensities (peak effect at 50 VAS). Females did show a hyperalgesia effect at stimulation intensities corresponding to 50 and 70 VAS pain ratings. The fMRI data showed that the periaqueductal gray (PAG) showed increased activation in the NALOXONE versus SALINE condition at higher thermal stimulation intensities. The PAG is well-linked to endogenous pain modulation.

      When assessing the effects of NALOXONE and SALINE after exercise, results showed no significant differences in subsequent pain intensity ratings.

      When assessing the effect of aerobic exercise intensity on subsequent pain intensity ratings, authors suggested that aerobic exercise in the form of a continuous cycling exercise tailored to an individual's FTP is not effective at eliciting an exercise-induced hypoalgesia response -irrespective of exercise intensity. This is because results showed that pain responses did not differ significantly between HIGH and LOW intensity exercise with (NALOXONE) and without (SALINE) an opioid antagonist. Therefore, authors have also questioned the mechanisms (endogenous opioids) behind this effect.

      Strengths:

      Altogether, the paper is great piece of work that has provided some truly useful insight into the neurological and perceptual mechanisms associated with pain and exercise-induced modulation of pain. The authors have gone to great lengths to delve into their research question(s) and their methodological approach is relatively sound. The study has incorporated effective pseudo-randomisation and conducted a rigorous set of statistical analysis to account for as many confounds as possible. I will particularly credit the authors on their analysis which explores the impact of sex and female participants' stage of menses on the study outcomes. It would be particularly interesting for future work to pursue some of these lines of research which investigate the differences in the endogenous opioid mechanism between sexes and the added interaction of stage of menses or training status - all of which the authors point out in their discussion.

      There are certainly many other areas that this article contributes to the literature due to the depth of methods the research team have used. For example, the authors provide much insight into: the impact of exercise intensity on the exercise-induced hypoalgesia effect; the impact of sex on the endogenous opioid modulation mechanism; and the impact of exercise intensity on the neurological indices associated with endogenous pain modulation and pain processing. All of which, the researchers should be credited for due to the time and effort they have spent completing this study. Indeed, their in-depth analysis of many of these areas provides ample support for the claims they make in relation to these specific questions. As such, I consider their evidence concerning the fMRI data to be very convincing (and interesting).

      Weaknesses:

      Although the authors have their own view of their results, I, however, do still maintain a slightly different take on what the post-exercise pain ratings seem to show and its implications for judging whether an exercise-induced hypoalgesia effect is present or not and whether this is related to the opioid system.

      For example, my basic assumptions relate to data which appears to show that there is an exercise-induced hypoalgesia effect as average pain ratings are ~30% lower than pre-calibrated/resting pain ratings within the SALINE condition at the same temperature of stimulation. Then, it appears there is evidence for the endogenous opioid mechanism as the NALOXONE condition demonstrates a minimal hypoalgesia effect after exercise. I.e., NALOXONE indeed blocked the opioid receptors, and such inhibition prevented the endogenous opioid system from taking effect.

      However, through a comprehensive revision of their work, the authors have addressed many areas that myself and my fellow reviewer have questioned and provided a comprehensive set of responses and edits about this. So while I may have some opposing views on the mechanisms at play, I believe that each reader can decide and interpret the data for themselves which has been presented well by the authors.

    1. Reviewer #1 (Public review):

      Summary:

      An interesting manuscript from the Carrington lab is presented investigating the behavior of single vs double GPI-anchored nutrient receptors in bloodstream form (BSF) T. brucei. These include the transferrin receptor (TfR), the HpHb receptor (HpHbR), and the factor H receptor (FHR). The central question is why these critical proteins are not targeted by host-acquired immunity. It has generally been thought that they are sequestered in the flagellar pocket (FP), where they are subject to rapid endocytosis - any Ab:receptor complexes would be rapidly removed from the cell surface. This manuscript challenges that assumption by showing that these receptors can be found all over the outer cell body and flagella surfaces, if one looks in an appropriate manner (rapid direct fixation in culture media).

      The main part of the manuscript focuses on TfR, typically a GPI1 heterodimer of very similar E6 (GPI anchored) and E7 (truncated, no GPI) subunits. These are expressed coordinately from 15 telomeric expression sites (BES), of which only one can be transcribed at a time. The authors identify a native E6:E7 pair in BES7 in which E7 is not truncated and therefore forms a GPI2 heterodimer. By in situ genetic manipulation, they generate two different sets of GPI1:GPI2 TfR combinations expressed from two different BESs (BES1 and BES7). Comparative analyses of these receptors form the bulk of the data.

      The main findings are:

      (1) Both GPI1 and GPI2 TfR can be found on the cell body/flagellar surface. (2) Both are functional for Tf binding and uptake. (3) GPI2 TfR is expressed at ~1.5x relative to GPI1 TfR. (4) Ultimate TfR expression level (protein) is dependent on the BES from which it is expressed.

      Most of these results are quite reasonably explained in light of the hydrodynamic flow model of the Engstler lab and the GPI valence model of the Bangs lab. Additional experiments, again by rapid fixation, with HpHbR and FHR, show that these GPI1 receptors can also be seen on the cell surface, in contrast to published localizations.

      It is quite interesting that the authors have identified a native GPI2 TfR. However, essentially all of the data with GPI2 TfR are confirmatory for the prior, more detailed studies of Tiengwe et al. (2017). That said, the suggestion that GPI2 was the ancestral state makes good evolutionary sense, and begs the question of why trypanosomes prefer GPI1 TfR in 14 of 15 ESs (i.e., what is the selection pressure?).

      Strengths and weaknesses:

      (1) BES7 TfR subunit genes (BES7_Tb427v10): There are actually three (in order 5'-3'): E7gpi, E6.1 and E6.2. E6.1 and E6.2 have a single nucleotide difference. This raises the issue of coordinate expression. If overall levels of E6 (2 genes) are not down-regulated to match E7 (1 gene), this will result in a 2x excess of E6 subunits. The most likely fate of these is the formation of non-functional GPI2 homodimers on the cell surface, as shown in Tiengwe et al. (2017), which will contribute to the elevated TfR expression seen in BES7.

      (2) Surface binding studies: This is the most puzzling aspect of the entire manuscript. That surface GPI2 TfR should be functional for Tf binding and uptake is not surprising, as this has already been shown by Tiengwe et al. (2017), but the methodology for this assay raises important questions. First, labeled Tf is added at 500 nM to live cells in complete media containing 2.5 uM unlabeled Tf - a 5x excess. It is difficult to see how significant binding of labeled TfR could occur in as little as 15 seconds under these conditions. Second, Tiengwe et al. (2017) found that trypanosomes taken directly from culture could not bind labeled Tf in direct surface labeling experiments. To achieve binding, it was necessary to first culture cells in serum-free media for a sufficient time to allow new unligated TfR to be synthesized and transported to the surface. This result suggests that essentially all surface TfR is normally ligated and unavailable to the added probe. Third, the authors have themselves argued previously, based on binding affinities, that all surface-exposed TfR is likely ligated in a natural setting (DOI: 10.1002/bies.202400053). Could the observed binding actually be non-specific due to the high levels of fixative used?

      (3) Variable TfR expression in different BESs: It appears that native TfR is expressed at higher levels from BES7 compared to BES1, and even more so when compared to BES3. This raises the possibility that the anti-TfR used in these experiments has differential reactivity with the three sets of TfRs. The authors discount this possibility due to the overall high sequence similarities of E6s and E7s from the various ESs. However, their own analyses show that the BES1, BES3, and BES7 TfRs are relatively distal to each other in the phylogenetic trees, and this Reviewer strongly suspects that the apparent difference in expression is due to differential reactivity with the anti-TfR used in this work. In the grand scheme, this is a minor issue that does not impact the other major conclusions concerning TfR localization and function, nor the behavior of HpHbR and FHR. However, the authors make very strong conclusions about the role of BESs in TfR expression levels, even claiming that it is the 'dominant determinant' (line 189).

      (4) Surface immuno-localization of receptors: These experiments are compelling and useful to the field. To explain the difference with essentially all prior studies, the authors suggest that typical fixation procedures allow for clearance of receptor:ligand complexes by hydrodynamic flow due to extended manipulation prior to fixation (washing steps). Despite the fact that these protocols typically involve ice-cold physiological buffers that minimize membrane mobility, this is a reasonable possibility. Have the authors challenged their hypothesis by testing more typical protocols themselves? Other contributing factors that could play a role are the use of deconvolution, which tends to minimize weak signals, and also the fact that investigators tend to discount weak surface signals as background relative to stronger internal signals.

      (5) Shedding: A central aspect of the GPI valence model (Schwartz et al., 2005, Tiengwe et al., 2017) is that GPI1 reporters that reach the cell body surface are shed into the media because a single dimyristoylglycerol-containing GPI anchor does not stably associate with biological membranes. As the authors point out, this is a major factor contributing to higher steady-state levels of cell-associated GPI2 TfR relative to GPI1 TfR. Those studies also found that the size/complexity of the attached protein correlated inversely with shedding, suggesting exit from the flagellar pocket as a restricting factor in cell body surface localization. The amount of newly synthesized TfR shed into the media was ~5%, indicating that very little actually exits the FP to the outer surface. In this regard, is it possible to know the overall ratio of cell surface:FP:endosomal localized receptors? Could these data not be 'harvested' from the 3D structural illumination imaging?

    1. Reviewer #1 (Public review):

      Summary:

      In the manuscript by Winke et al, the authors present evidence that fear-induced analgesia is mediated by somatostatin projection cells from the vlPAG to the RVM. This study uses a mouse model of fear-induced analgesia, and incorporates optogenetic circuit manipulation with behaviour and electrophysiology to gain a meaningful insight into a novel circuit involved in fear-induced analgesia.

      Strengths:

      (1) This is a well-constructed study with appropriate controls and analyses.

      (2) Alternative interpretations of the data are systematically considered and eliminated via rational experiments. The authors are commended for a nice piece of experimental work.

      (3) The vlPAG is a known region of pain modulation, and this study adds valuable insight to the circuit involved in fear-associated analgesia.

      Weaknesses:

      (1) Only male mice are included in this study.

      (2) Animals are excluded from analyses based on clearly defined criteria, but it is not clear how many mice were excluded from each group.

      (3) The authors implement a pain sensitivity assay that involves a hot plate with progressively increasing temperature. The time to nociceptive responses is reported. Without reporting the actual temperature at which the mice respond, it makes it difficult to compare nociceptive responses to previously published work (which typically use a defined and static hotplate temperature).

      (4) The authors present evidence that inhibition of SST vlPAG cells enhances spinal nociceptive electrophysiological responses, but the corresponding pain sensitivity is not altered (Figure 2, CS- condition). The reason for the discrepancy between electrophysiological and behavioural responses is not clear.

    2. Reviewer #3 (Public review):

      Summary:

      Conditioned analgesia refers to the ability of a learned fear cue to suppress pain-related behavior and neural activity. Understudied, the authors developed a novel conditioned analgesia procedure in which a cue that had been paired or unpaired with shock was played while a hot plate increased temperature. Compared to several control conditions, the authors found increased latency to a nociceptive response (paw licking). The authors identified somatostatin neurons in the periaqueductal gray as a likely mediator of the behavior. They then showed that: (1) stimulating vlPAG-SST neurons blocked nociceptive response latency increases to the CS+, (2) stimulating vlPAG-SST neurons suppressed fear retrieval freezing, (3) stimulating vs. inhibiting vlPAG-SST neurons drove opposing modulation of c-fibers and Aδ-fibers, (4) direct-projecting vlPAG SST neurons modulate freezing while RVM-projecting vlPAG SST neurons modulate conditioned analgesia.

      Strengths:

      These experiments have many strengths. The behavioral assay is chief among them. The assay is robust and controls for confounding factors to reveal a repeatable effect of a shock-paired cue to delay nociceptive responding. The optogenetic experiments provide the correct level of temporal precision, given the authors' time-specific interest in cued responding. Combining neuronal manipulations with spinal recordings is particularly innovative, especially in the context of more behavioral neuroscience-based assays. All-in-all, I found this to be an exceptionally strong set of experiments.

      Weaknesses:

      No obvious weaknesses were identified by this Reviewer.

    1. Document de Synthèse : "Genre et torts épistémiques" - Camille Zimmerman Introduction : Présentation de Camille Zimmerman et de ses recherches

      Camille Zimmerman est une doctorante dont les recherches se situent à l'intersection de la philosophie et des arts de la scène, co-dirigée par Amandine Catala (Université du Québec à Montréal - UQAM, Chaire de recherche du Canada sur l'injustice et l'agentivité épistémique) et Grégory Schiller (UGA, Laboratoire Litt&Arts, co-directeur du Performance Lab).

      Son travail vise à développer une "pédagogie des corps" pour mieux comprendre l'aspect incarné de l'agentivité épistémique, un concept initialement élaboré par Miranda Fricker en 2007 dans son ouvrage Epistemic Injustice: Power and the Ethics of Knowing.

      La question centrale qui l'anime est de savoir "en quoi et comment notre capacité à utiliser, générer et communiquer du savoir sollicite-t-elle notre corps, nos sensibilités, nos gestes, nos actions, et pas seulement, comme le défend la tradition dominante en philosophie, notre raison ?"

      Plus encore, elle s'interroge sur ce que cette incarnation de l'agentivité épistémique nous apprend sur "les mécanismes tacites de l'oppression, notamment de genre, c'est-à-dire sur leur fonctionnement comme sur les stratégies que nous pouvons développer pour résister à ces mécanismes."

      Son objectif est de donner aux corps un rôle émancipateur dans l'échange des savoirs, malgré ou grâce à leur vulnérabilité.

      Ses travaux s'inscrivent dans l'épistémologie sociale, reconnaissant que la connaissance n'est pas produite de manière isolée mais à travers des relations sociales où des "torts" peuvent se manifester.

      1. Biais Sexistes, Stéréotypes et Menaces du Stéréotype dans le Partage du Savoir

      Camille Zimmerman commence par clarifier les distinctions entre stéréotypes, préjugés et biais, soulignant leur impact sur la perception de soi et des autres dans le partage du savoir.

      Stéréotypes, Préjugés et Biais :

      • Un stéréotype est un raccourci cognitif qui simplifie le traitement de l'information quotidienne. Il peut être utile mais devient problématique lorsqu'il est "trop réducteur" et "négatif", menant à des préjugés.

      • Les préjugés sont des jugements ou des croyances négatives envers des groupes sociaux.

      • Les biais sont des associations néfastes qui accentuent les préjugés et affectent la perception des personnes.

      • Menace du Stéréotype : Introduit par Steele et Aronson (1995) pour comprendre l'échec scolaire des minorités ethniques, ce concept décrit comment, en tant que membre d'un groupe marginalisé, la conscience des stéréotypes négatifs à son égard génère un climat de stress ou d'anxiété.

      Cette anxiété peut paradoxalement "rejouer" et confirmer le stéréotype (ex: "les femmes sont trop émotionnelles", "pas bonnes en maths").

      La menace du stéréotype "impacte vraiment la manière dont on va nous-même agir dans la situation et rejouer et confirmer en fait les stéréotypes négatifs à notre égard."

      Application au Genre et à la Philosophie :

      • Une sous-représentation des femmes en philosophie (peu de philosophes femmes citées dans le canon, peu d'enseignantes) renforce la menace du stéréotype. Les étudiantes manquent de modèles et peuvent internaliser l'idée qu'elles "ne sont pas faites pour ça", ce qui accroît la peur de mal performer.

      • Les biais sexistes se manifestent par des réflexions associant les femmes à l'émotion (les rendant "pas crédibles"), par une attention portée à leur apparence plutôt qu'à leur propos, ou par une réduction de leur espace de parole, exacerbant le stress et la pression lors de l'expression.

      • Stratégies de Déconstruction : Pour contrer ces biais, il est proposé d'augmenter la représentation des femmes en philosophie (inviter des conférencières, afficher des portraits), et de diversifier le canon philosophique.

      L'intervenante cite des initiatives comme le groupe "Philo Situé" (anciennement "Philo-Sophia") et le Symposium de philosophie féministe au Québec, qui visent à créer des espaces de reconnaissance professionnelle pour les femmes en philosophie.

      2. Les Injustices Épistémiques : Cadre Théorique et Manifestations

      Les recherches de Camille Zimmerman s'appuient sur le concept d'injustice épistémique, issu de l'épistémologie sociale, qui étudie les "torts" commis dans les relations de partage du savoir.

      • Définition et Origines : L'injustice épistémique concerne les torts éthiques commis à l'égard de notre "agentivité épistémique", c'est-à-dire notre droit à développer notre capacité à utiliser, communiquer et transmettre du savoir.

      Ces torts minent la confiance en soi. Le concept a été formellement introduit par Miranda Fricker en 2007, mais ses racines se trouvent dans les théories du Black Feminism et du standpoint theory (années 60-70), soulignant d'emblée une dimension intersectionnelle des oppressions (genre, race, classe sociale).

      Les Deux Formes Majeures d'Injustice Épistémique (selon Fricker) :

      • L'Injustice Testimoniale : Concerne la crédibilité du témoignage. Lorsqu'une personne appartenant à un groupe social non dominant (basé sur le genre, la race, la classe, les capacités, l'orientation sexuelle, etc.) partage du savoir, on va "arbitrairement [lui] donner ou pas du crédit".

      Ce n'est pas lié à la véracité du propos, mais à l'identité de la personne.

      C'est une situation "systématique" et non accidentelle, qui "mine [la] confiance" de la personne.

      L'accent est mis sur le "contexte social" plutôt que sur un coupable individuel.

      • L'Injustice Herméneutique : Caractérisée par un "déficit d'intelligibilité" ou un "manque d'intelligibilité".

      Elle se produit lorsque les termes ou les concepts utilisés par une personne appartenant à un groupe non dominant ne sont pas compris ou reconnus par le groupe dominant, qui impose ses propres "ressources herméneutiques" (langage, concepts).

      Cela conduit à une "marginalisation" et une "exclusion" du partage du savoir.

      L'exemple emblématique est celui du harcèlement sexuel avant que le terme n'existe, où l'absence de mot pour nommer une expérience vécue empêche sa reconnaissance juridique et sociale (exemple de Suzanne Brer).

      L'exploitation herméneutique est "un vrai enjeu politique" car elle maintient les groupes marginalisés "en marge".

      3. La Conception Pluraliste de l'Agentivité Épistémique et la Place de l'Affect

      La critique de la définition traditionnelle (logocentrique et rationnelle) de l'agentivité épistémique est au cœur des recherches de Camille Zimmerman et de sa directrice, Amandine Catala.

      • Critique du Logocentrisme : La définition de Fricker, basée sur la rationalité, réduit l'intelligence et exclut ceux qui ne s'expriment pas verbalement ou rationnellement (ex: personnes en situation de handicap, neurodiverses).

      Cela pose problème car si une personne n'est pas considérée comme un agent épistémique, elle ne peut pas défendre le fait qu'elle subit des injustices épistémiques. * Les Cinq Caractéristiques de l'Agentivité Épistémique Pluraliste (selon Alexis Shotwell) : Cette nouvelle approche élargit la définition de la connaissance au-delà du "savoir propositionnel" (basé sur le langage et la vérifiabilité logique) pour inclure d'autres formes de savoir cruciales pour comprendre l'expérience humaine, notamment les expériences d'oppression.

      • Savoir Propositionnel : Formulation verbale, vérifiable (le "know that" en anglais).
      • Savoir-faire : Connaissance pratique acquise par l'expérience corporelle (ex: faire du vélo), irréductible à un manuel.
      • Savoir Incarné : Intégration des codes sociaux et adaptation corporelle aux normes (ex: posture, ton de voix, performance du genre). Non verbal, implicite, et pourtant crucial pour la crédibilité sociale.
      • Savoir Tacite : Ce qui n'a pas besoin d'être explicité par le langage (sens commun, stéréotypes), permettant les raccourcis dans l'interaction.
      • Savoir Affectif : La manière dont on vit, éprouve, ressent les choses. "Disent aussi quelque chose par rapport à mon identité." C'est une "forme de compréhension des choses, des sens."
      • L'Affect comme Ressource Épistémique : La conception pluraliste réhabilite l'affect, souvent dévalorisé et associé aux femmes, comme une source de connaissance.
      • Dans la Marginalisation Herméneutique : Le vécu corporel, émotionnel et sensible, même sans mots, "nous révèle une importance par rapport à ce qui se passe." Il peut catalyser la recherche de termes ou de reconnaissance (ex: Saraha Ahmed et la violence subie à vélo, dont le corps garde la mémoire).
      • Dans la Menace du Stéréotype : Le "climat de stress", l'anxiété et la fatigue ne sont pas neutres et affectent la performance épistémique. Reconnaître l'impact de l'environnement (ex: salles de conférence avec portraits d'hommes blancs) permet de comprendre comment l'affect mine l'agentivité.
      • L'Exploitation Épistémique (Nora Berenstein) : Ce concept, mis en lumière par des chercheur·es racisé·es, montre comment les groupes privilégiés, face aux explications des marginalisé·es sur leur oppression, "discréditent les ressources épistémiques qu'ils apportent et les force[nt] à produire un travail cognitif et émotionnel supplémentaire." La personne opprimée est contrainte de s'expliquer, malgré l'effort physique et émotionnel que cela représente, car son expérience n'est pas reconnue si elle n'est pas "adéquatement expliquée".

      L'ignorance active du privilégié est ainsi reproduite.

      Ce phénomène met clairement en évidence l'importance du corps et de l'affect dans les injustices épistémiques.

      4. Pédagogies de l'Inconfort et Vulnérabilité Épistémique

      Pour faire face à ces injustices et valoriser l'affect, Camille Zimmerman propose d'explorer les pédagogies de l'inconfort.

      • Bell Hooks et l'Intégrité en Éducation : Inspirée par Paulo Freire, Bell Hooks soutient que la salle de classe n'est pas un espace neutre politiquement.

      Les rapports de pouvoir et les identités sociales influencent l'expérience de l'enseignement et de l'apprentissage.

      Elle promeut l'enseignement avec "intégrité", en intégrant le corps et l'esprit, cherchant le "désir d'apprendre" des étudiant·es et la connexion avec leurs vécus.

      L'enseignant·e doit également considérer son "état émotionnel" et la place de l'affect dans son propre enseignement.

      • Megan Boler et le Sentiment d'Appartenance : Boler, spécialiste des pédagogies féministes, insiste sur l'importance de créer un "sentiment d'appartenance" en classe.

      Elle reconnaît que l'espace n'est pas intrinsèquement sécuritaire pour tou·tes et qu'il peut devenir insécuritaire. Il s'agit de travailler à partir du ressenti des étudiant·es pour améliorer l'espace et discuter ouvertement des rapports de pouvoir.

      Boler explore également comment les normes sociales (liées au genre, par exemple) influencent l'expression des émotions et peuvent desservir les individus dans certains contextes (ex: l'injonction à "combattre son idée" en philosophie).

      • La Vulnérabilité Épistémique (Erin Gilson) : Ce concept est proposé comme une "vertu" en opposition à l'ignorance active.

      Il s'agit d'accepter d'être vulnérable, de reconnaître que nos propres croyances ne sont pas les seules valides, et que l'écoute des croyances d'une personne issue d'une identité sociale différente peut "déconstruire ma propre croyance."

      Cette démarche, bien que "déstabilisante", est essentielle pour une "ouverture des esprits" et pour ne pas "résister à ne pas comprendre".

      Elle permet de reconnaître l'importance des affects dans la capacité à utiliser, partager et générer du savoir.

      Conclusion Générale

      La présentation de Camille Zimmerman propose une exploration approfondie des injustices épistémiques, en particulier celles liées au genre, en insistant sur le rôle central de l'incarnation et des affects.

      Le cheminement s'articule comme suit :

      • Identification des Problèmes : Les biais sexistes et la menace du stéréotype influencent négativement le partage du savoir.
      • Cadre Théorique : Les injustices épistémiques (testimoniale et herméneutique) décrivent les torts subis, souvent invisibles et liés à l'identité sociale.
      • Refonte Conceptuelle : La conception pluraliste de l'agentivité épistémique, intégrant le savoir incarné, tacite et affectif, déconstruit les limites du logocentrisme et valorise les affects comme sources de connaissance.
      • Stratégies Pédagogiques : Les pédagogies de l'inconfort (Bell Hooks, Megan Boler) et le développement de la vulnérabilité épistémique (Erin Gilson) sont des approches concrètes pour transformer les espaces d'apprentissage et de partage du savoir, en reconnaissant et en travaillant avec le vécu émotionnel et corporel.
      • L'objectif final est de créer des environnements où l'inconfort (lorsqu'il est géré constructivement) peut devenir "un indicateur dans ma propre éducation à accepter la croyance de l'autre ou à rentrer dans une collaboration plutôt que de maintenir ma propre croyance", ouvrant ainsi la voie à une compréhension plus riche et équitable du savoir.
    1. Briefing sur la Cohérence Cardiaque : Gestion du Stress et Au-delà

      Ce document de briefing vise à synthétiser les concepts clés, les mécanismes physiologiques, les bénéfices et les applications pratiques de la cohérence cardiaque, tels que présentés par Caroline Sévoz-Couche, neuropharmacologue et chercheuse à l'Inserm, spécialiste du nerf vague.

      1. Qu'est-ce que la Cohérence Cardiaque ?

      La cohérence cardiaque est une technique de respiration contrôlée qui vise à harmoniser les variations de la fréquence cardiaque avec la fréquence respiratoire.

      Bien que popularisée en Occident plus récemment, ses principes sont connus et pratiqués depuis des millénaires dans les civilisations orientales, notamment à travers le Pranayama du yoga.

      • Définition et Historique : C'est une technique simple et rapide, souvent associée à une origine américaine récente. Cependant, la régulation de la fréquence respiratoire est connue depuis des milliers d'années dans les civilisations orientales.

      "L'expire produit la stabilité du mental", une phrase écrite il y a près de 2000 ans, souligne l'importance de l'expiration contrôlée.

      En Occident, elle est apparue au 18ème siècle et a été popularisée en France par le Dr. David Servan-Schreiber.

      • Non une Simple Relaxation : Il est crucial de comprendre que la cohérence cardiaque n'est pas une simple relaxation menant à l'endormissement. Au contraire, elle prépare l'esprit aux actes d'attention, augmentant la concentration et la rapidité de prise de décision.

      "Ce n'est pas une relaxation où on s'endort... c'est-à-dire qu'en fait quand on va faire la cohérence cardiaque on va être beaucoup plus sensible à tout ce qui va se passer autour à l'environnement on va être beaucoup plus concentré on va avoir des prises de décisions beaucoup plus rapide".

      Elle peut être pratiquée avant une compétition sportive ou une tâche nécessitant une grande vigilance.

      2. Le Mécanisme Physiologique Clé : La Variabilité Cardiaque et la Fréquence de Résonance

      Le cœur ne bat pas à une fréquence parfaitement régulière ; il présente une variabilité constante, essentielle pour s'adapter aux stimuli internes et externes.

      La cohérence cardiaque vise à optimiser cette variabilité.

      • Variabilité Cardiaque (VFC) : Un cœur en bonne santé présente des oscillations rapides de sa fréquence. Une faible variabilité est souvent associée à une pathologie. Lors d'une respiration spontanée (environ 15 cycles/minute), ces oscillations sont de faible amplitude.

      • Optimisation à 6 cycles/minute : La pratique de la cohérence cardiaque à 6 respirations par minute (soit un cycle respiratoire de 10 secondes) maximise l'amplitude des oscillations cardiaques.

      Cette fréquence est la plus efficace car elle entre en résonance avec les oscillations automatiques naturelles du corps, qui sont également de 6 par minute.

      "Ces amplitudes sont maximales avec une fréquence respiratoire spécifique de 6 par minute".

      • Analogie de la Balançoire : Le principe est similaire à celui d'une balançoire : si l'on pousse la balançoire à sa fréquence naturelle, l'amplitude de son mouvement augmente considérablement. De même, en synchronisant la respiration avec les fréquences oscillatoires naturelles du corps, on amplifie la variabilité cardiaque.

      • Cohérence des Oscillations, pas des Fréquences : Il est important de noter que ce ne sont pas les fréquences cardiaques (ex: 60-80 battements/minute) et respiratoires (6 cycles/minute) qui sont mises en cohérence, mais le nombre d'oscillations cardiaques par minute induites par la respiration et celles produites automatiquement par le corps, qui se synchronisent à 6 par minute.

      3. Aspects Techniques de la Respiration en Cohérence Cardiaque

      Pour maximiser les bénéfices, certaines pratiques respiratoires sont recommandées :

      • Ratio Inspiration/Expiration : Le ratio idéal est de 5 secondes d'inspiration et 5 secondes d'expiration pour un cycle de 10 secondes (6 cycles/minute).
      • Un léger allongement de l'expiration (ex: 4 sec inspiration / 6 sec expiration) est acceptable et conserve une bonne amplitude.
      • Un allongement excessif de l'expiration (ex: 3 sec inspiration / 7 sec expiration) ou une inspiration plus longue que l'expiration réduit significativement l'amplitude des oscillations et peut être contre-productif ("on perd la cohérence").
      • Volume Thoracique : Il est crucial d'augmenter le volume thoracique pour maintenir une bonne ventilation. "Il faut penser à avoir une grande amplitude thoracique quand on fait la cohérence cardiaque".
      • Respiration Nasale : L'inspiration par le nez est fortement recommandée car elle active davantage les ondes cérébrales bénéfiques (ondes thêta) et apporte d'autres avantages physiologiques (filtration de l'air, humidification, meilleure oxygénation, réduction des ronflements).

      "Si vous voulez avoir des effets au niveau central il faut penser à l'inspiration il faut respirer par le nez". L'expiration peut se faire par la bouche ou le nez.

      4. Le Rôle Central du Nerf Vague

      La cohérence cardiaque stimule de manière maximale le nerf vague, un nerf cranien crucial pour le système nerveux parasympathique.

      • Le Nerf Vague : Un "Vagabond" : Nommé d'après le latin "vagare" (errer, vagabonder), le nerf vague innerve de nombreux organes depuis le cerveau (cœur, poumons, tube digestif, etc.).
      • Effets sur les Organes Périphériques : Sa stimulation a des effets positifs variés :
      • Cardiaques : Amélioration de la variabilité cardiaque.
      • Digestifs : Amélioration des sensations de goût, augmentation de la sécrétion des sucs gastriques, amélioration de la motilité gastro-intestinale.
      • Anti-inflammatoires : Libération de neurotransmetteurs qui réduisent l'inflammation systémique et organique (ex: poumons chez les asthmatiques).
      • Boucle Vago-vagale et Effets Cérébraux : Seulement 20% des fibres du nerf vague descendent du cerveau vers les organes, tandis que 80% remontent. Cette boucle vagale permet une influence bidirectionnelle. La stimulation du nerf vague par la cohérence cardiaque active des structures cérébrales clés :
      • Cortex insulaire et cingulaire : Impliqués dans l'intéroception (perception des signaux internes du corps) et la prise de décision.
      • Amygdale : Régulation du stress.
      • Hippocampe : Mémoire et cognition.
      • Modulation du Système Limbique : Cette activation cérébrale conduit à une amélioration de :
      • La concentration, la mémoire de travail et l'apprentissage.
      • La prise de décision et le contrôle de l'impulsivité (réduction des comportements impulsifs liés à l'alimentation, l'alcool, la drogue, augmentant le temps d'abstinence).
      • Le seuil de la douleur (augmentation).
      • La gestion du stress et la diminution des symptômes anxieux et dépressifs.

      5. Bénéfices et Applications Prouvées Scientifiquement

      De nombreuses études scientifiques, incluant des groupes placebo, ont démontré l'efficacité de la cohérence cardiaque.

      • Réduction Immédiate du Stress et de l'Anxiété : Une session de 5 minutes chez des volontaires sains (musiciens avant un concert, sportifs avant une compétition) réduit significativement l'anxiété et le niveau de stress.

      Effets à Long Terme et Persistance :

      • Basketballeurs : 20 minutes/jour pendant 10 jours ont montré une diminution de l'anxiété qui persiste pendant au moins un mois après l'arrêt de la pratique, contrairement aux groupes contrôle.
      • Vétérans atteints de SSPT : 20 minutes/jour pendant 4 semaines ont significativement diminué la perception du stress, de la douleur et des émotions négatives.
      • Patients déprimés résistants aux traitements : Sessions hebdomadaires de 20 minutes pendant 10 semaines, combinées à 20 minutes quotidiennes non supervisées, ont entraîné une diminution "très importante" de la dépression et de l'anxiété, visible dès 4 semaines.
      • Pression Artérielle : Une étude a montré une diminution de la pression artérielle qui persistait 6 mois après l'arrêt de la pratique chez ceux qui l'avaient faite sur le long terme.
      • Adaptation à l'Âge et aux Pathologies :
      • Bien que l'amplitude des oscillations puisse être légèrement moindre après 40 ans ou chez des patients atteints de diabète, la cohérence cardiaque augmente toujours cette amplitude par rapport à la respiration spontanée, offrant des bénéfices à tous.

      "Quel que soit l'âge quel que soit la condition il tout le monde peut faire la cohérence cardiaque et avoir un effet bénéfique".

      • Gestion de la Douleur : Des sessions courtes (5 minutes) avant un événement douloureux (ex: prise de sang) peuvent réduire la sensation de douleur.
      • Sommeil : Améliore le temps d'endormissement (latence d'endormissement). Il est plus efficace de la pratiquer juste avant de se coucher.

      6. Protocoles de Pratique Recommandés

      La durée et la fréquence de la pratique varient en fonction des objectifs :

      • "Traitement Ponctuel" / Avant un Événement : 5 minutes (5 secondes inspiration, 5 secondes expiration, inspiration nasale).
      • "Traitement de Fond" Léger (Concentration, Mémoire, Stress ponctuel) : 10 minutes par jour pendant au moins 2-3 semaines.
      • "Traitement de Fond" Important (Anxiété, Dépression, Douleur Chronique) : 20 minutes par jour pendant 4 à 8 semaines et au-delà.
      • Il est préférable de faire des sessions de 10 minutes plutôt que de multiples sessions de 5 minutes pour un effet plus rémanent.
      • Les effets peuvent persister au moins un mois après l'arrêt pour une pratique prolongée.

      7. Outils et Aides à la Pratique

      De nombreuses ressources facilitent la pratique de la cohérence cardiaque :

      • Vidéos et Applications :
      • Sites web : vimeo.com, onedeepbreath.
      • Chaînes YouTube avec animations visuelles (ex: celle de Caroline Sévoz-Couche avec nuages ou flèches).
      • Applications mobiles (iOS/Android) : "Cardia", "Breathing App", "Breath+ (permet de visualiser la fréquence cardiaque en direct et la calque sur la respiration idéale)".
      • Montres Connectées : Certaines montres proposent des fonctionnalités de cohérence cardiaque.
      • Pratique sans Outil : Il est possible de la pratiquer n'importe où en comptant mentalement 5 secondes d'inspiration nasale et 5 secondes d'expiration.

      8. Questions et Remarques Importantes

      • Différence avec d'autres Techniques de Respiration : La respiration carrée (inspiration-pause-expiration-pause) peut être utilisée pour d'autres objectifs (relaxation), mais elle n'est pas optimale pour la cohérence cardiaque car les pauses interrompent la "cohérence" des oscillations et réduisent l'amplitude.

      Pour la cohérence cardiaque, l'absence de pause ou de très courtes pauses (0,5 sec) est préférable. * Complémentarité avec d'autres Thérapies : La cohérence cardiaque est reconnue par certains professionnels de la santé, notamment en psychiatrie et psychologie positive, comme un outil efficace et complémentaire à d'autres techniques (hypnose clinique, EMDR), car elle active des structures cérébrales similaires. * Contre-indications ou Effets Indésirables : Très rares. La seule prudence concerne les personnes sujettes aux malaises vagaux très prononcés. Certains moments de vie (ex: 3ème trimestre de grossesse) peuvent rendre la pratique plus difficile en raison de contraintes physiques. * Cohérence Cardiaque et Effort Sportif : Non indiquée pendant un effort sportif intense, car celui-ci active le système nerveux sympathique, qui s'oppose à l'action du nerf vague (parasympathique). * L'objectif et la concentration : Il ne faut pas trop se concentrer sur un objectif pendant la pratique elle-même, car cela peut augmenter la partie sympathique et réduire les effets bénéfiques. L'important est de se concentrer sur la technique respiratoire. * Processus d'Habituation à l'Anxiété : Bien que ce ne soit pas directement un processus d'habituation, la stimulation vagale par la cohérence cardiaque peut aider le cerveau des patients déprimés (et potentiellement anxieux) à mieux accepter les nouvelles informations et à sortir des ruminations, en réactivant les systèmes inhibiteurs de l'impulsivité.

      En conclusion, la cohérence cardiaque est une pratique basée sur des mécanismes physiologiques solides, facilement accessible et aux bénéfices avérés sur la gestion du stress, l'anxiété, la dépression, la douleur, la concentration, la mémoire et le sommeil, quel que soit l'âge ou la condition de santé.

      Sa simplicité et son efficacité en font un outil précieux pour le bien-être général.

    1. Four Goals of Anti-Bias Education

      What really resonates with my students is the addition of the following to each goal: Goal 1: "I'm ok" Goal 2: "You're ok" Goal 3: "That's not ok" Goal 4: Let's do something about it"

    1. Synthèse de la Conférence : "A la recherche du temps perdu, les enfants face aux écrans" - Grégoire Borst

      Cette conférence de Grégoire Borst, professeur de psychologie du développement et chercheur en neurosciences cognitives, vise à démystifier et nuancer le débat public autour de l'impact des écrans sur les enfants et adolescents, en s'appuyant sur des données scientifiques.

      Il met en lumière les idées fausses véhiculées et propose une approche plus complexe et contextuelle de la problématique, notamment à travers le prisme du rapport "À la recherche du temps perdu" auquel il a contribué.

      1. Démystification des Idées Reçues sur les Écrans

      Grégoire Borst commence par interroger l'audience sur des affirmations courantes concernant les écrans, pour ensuite les déconstruire systématiquement :

      • Baisse de l'intelligence des nouvelles générations : "il y a aucune de ces informations qui n'est vraie qui est vraie en tout cas pas posé comme cela il y a nécessité d'avoir d'introduire un peu plus de complexité làdessus".
      • Troubles neurodéveloppementaux (troubles des apprentissages, TSA, TDAH) : Les écrans ne peuvent pas en être la cause. "par définition les troubles du neurodéveloppement ne peuvent pas avoir comme cause l'exposition aux écrans". Il insiste sur la fausse information concernant "l'autisme virtuel", qui est une "fake news" nuisible, surtout dans un pays ayant déjà une prise en charge déficitaire des TSA.
      • Symptômes dépressifs des adolescents : "il y a aucune donnée qui suggère ça la dépression c'est multifactoriel et les les réseaux sociaux en tant que tel ça peut pas être la cause de la dépression".
      • Dépendance/Addiction : La communauté médicale n'a pas reconnu d'addiction aux jeux vidéo, aux réseaux sociaux ou à l'usage des écrans en général, "pour l'instant en tout cas en l'état actuel de nos connaissances la communauté médicale a décidé que il n'y avait pas d'addiction ni au jeux vidéos ni aux réseaux sociaux ni à un ensemble d'usages qui peut être fait des des écrans".

      2. Statistiques Clés sur l'Équipement et le Temps d'Écran

      Borst souligne l'importance de s'appuyer sur des données fiables et met en garde contre les sondages peu rigoureux.

      • Difficulté d'évaluation : Il est intrinsèquement difficile d'évaluer le temps d'écran réel des enfants et adolescents.
      • Taux d'exposition : Augmente avec l'âge. La dernière cohorte consolidée pour l'ensemble des enfants et adolescents date de 2017, donc les chiffres actuels sont probablement plus élevés.
      • Équipement personnel (hors smartphone) :7-12 ans : environ 1,6 écran personnel (console, etc.).
      • 13-19 ans : 2,9 écrans personnels.
      • Smartphones :Seulement 35% des 7-12 ans ont un smartphone (contre une idée répandue de 90% ou 100% au collège).
      • L'âge moyen d'acquisition pour ceux qui en possèdent un est de 9 ans et 8 mois.
      • Il est crucial de comprendre que ce chiffre s'applique à une sous-population spécifique, pas à la moyenne générale.
      • Ordinateurs personnels :19% des 7-12 ans.
      • 60% des 13-19 ans.
      • Consoles de jeu :58% des 7-12 ans.
      • 63% des 13-19 ans.
      • Utilisation des smartphones (15-17 ans) : Sur 4h43 d'utilisation déclarée par jour, 2h43 sont consacrées à des activités liées à l'école. Cela "permet de relativiser considérablement je dirais la variable temps d'écran c'est évidemment ça dépend de ce que vous y faites".
      • Accès aux réseaux sociaux :63% des 7-10 ans déclarent être inscrits sur les réseaux sociaux (contre 49% déclaré par les parents), alors que l'âge légal est 13 ans.
      • 91% des 11-14 ans ont accès aux réseaux sociaux.

      3. La Complexité des Effets des Écrans : Corrélation vs. Causalité

      Grégoire Borst insiste sur la distinction fondamentale entre corrélation et causalité, illustrant son propos avec l'exemple humoristique de la consommation de margarine et des taux de divorce.

      • Piège de l'association : De nombreuses études montrent des associations entre le temps d'écran et des effets sur le développement, mais cela ne prouve pas un lien de causalité direct. "on a beaucoup plus de mal à mettre en évidence des liens de causalité".
      • Directionnalité : Une association peut signifier que le temps d'écran affecte le développement, ou que des vulnérabilités préexistantes (liées au développement cognitif et socio-émotionnel) conduisent à une plus grande consommation d'écrans. Seules les études longitudinales peuvent commencer à établir une directionnalité.
      • Variables tierces : L'importance cruciale de contrôler les variables comme le "milieu social d'origine des familles". "Toute étude pour faire simple prochaine étude que vous regardez sur cette questionl si dans le modèle statistique on a va pas contrôler pour le milieu social d'origine vous prenez l'étude vous l'achetez à la poubelle elle veut rien dire en soi".

      4. Effets Spécifiques Documentés et Nuances

      • Développement langagier :
      • Une étude française (coHorte Eden) montre qu'il n'y a pas d'effet du temps global d'exposition à 2 ans sur les compétences langagières à 5-6 ans.
      • Cependant, "quand on a la télé allumée pendant les repas on a des effets négatifs sur le développement langengagé de l'enfant à 5 ou 6 ans".
      • Méta-analyses : Confirment un effet négatif du temps d'écran sur le développement langagier (taille d'effet faible, 16% d'écart-type). Le "bruit de fond" de la télévision a un effet négatif similaire.
      • Co-visionnage et programmes ludo-éducatifs : Des effets positifs sont observés. "le simple covisionnage avec un enfant d'un contenu audiovisuel a un effet positif sur le développement Lang langagé de l'enfant qui est de la même taille que les effets négatifs observés pour le temps d'exposition global".
      • Qualité du contenu : L'enjeu est de sortir de la "question du temps d'écran et qu'on rentre dans quelque chose de beaucoup plus complexe qui est la question de la qualité du contenu et des interactions qui peuvent exister des interactions sociales autour du contenu audiovisuel". Éviter les contenus pauvres en langage oral (ex: Télétubbies).
      • Sommeil : C'est un domaine où "toutes les études sont concordantes globalement" sur l'impact négatif des écrans.
      • Adolescents : impact négatif si utilisé dans l'heure précédant le coucher.
      • Jeunes enfants : impact à tout moment de la journée.
      • Impact en cascade : Le sommeil étant crucial pour le développement cérébral et l'apprentissage, des perturbations peuvent affecter d'autres fonctions cognitives comme le langage.
      • Sensibilisation parentale : 49% des parents d'enfants de moins de 11 ans ignorent l'impact des écrans sur le sommeil de leurs enfants.
      • Facteurs multiples : Le déficit de sommeil des adolescents n'est pas uniquement dû aux écrans ; la structure du système éducatif (heures de cours tôt le matin) y contribue également.
      • Sédentarité : 33% des enfants de moins de 3 ans ne pratiquent aucune activité physique. La sédentarité est liée à l'obésité et aux risques de maladies cardiovasculaires. "C'est un vrai enjeu de santé publique".
      • Réseaux Sociaux et Bien-être Adolescent :
      • Il existe un lien statistique entre le temps passé sur les réseaux sociaux et le bien-être, mais la taille de l'effet est très faible (0,4% du bien-être).
      • Il existe des facteurs de vulnérabilité individuels où l'usage peut avoir des effets négatifs.
      • Effets positifs : Une étude (2016) suggère que le temps passé sur les réseaux sociaux à 10 ans peut avoir un effet positif sur le développement de l'empathie affective et cognitive.

      "les réseaux sociaux ça rend pas les adolescents moins empathiqu de façon générale ça peut même avoir des effets positifs y compris sur des domaines qui relèvent des compétences psychosociales ou socioémotionnelles".

      5. La Place du Numérique à l'École

      Faible équipement en France : Le taux d'équipement numérique des élèves français est "très très faible" comparé à d'autres pays comme la Suède. "on est très en retard sur le numérique éducatif".

      Effets positifs : La mise à disposition d'équipements mobiles individuels (tablettes) à l'école peut avoir "des effets positifs y compris sur les apprentissages scolaires fondamentaux que ce soit en 5e ouou en 4e on a des effets positifs sur les compétences mathématiques sur la compréhension de l'oral et sur la compréhension de l'écrit".

      6. Recommandations et Conclusion

      Le rapport de la commission sur les écrans (disponible sur le site de l'Élysée) propose un ensemble de recommandations, mettant l'accent sur la complexité des enjeux et la nécessité d'une action publique nuancée et informée par la science.

      La conférence souligne l'importance d'un discours mesuré, basé sur des preuves solides, pour éviter les alarmismes infondés et orienter efficacement les politiques publiques.

      L'accent doit être mis sur la qualité des interactions et des contenus, ainsi que sur l'environnement global de développement de l'enfant (sommeil, activité physique, milieu social), plutôt que sur une simple restriction du temps d'écran.

    1. Note de synthèse : Comprendre l'Adolescence à travers le Prisme des Neurosciences et de la Psychologie du Développement (Mathieu Cassotti)

      Cette synthèse est basée sur les extraits de la conférence "C'est pas moi, c'est mon cerveau" de Mathieu Cassotti, Professeur en psychologie du développement à l'Université Paris Cité.

      L'objectif principal de cette intervention est de déconstruire les perceptions souvent négatives et biaisées de l'adolescence pour proposer une compréhension plus nuancée, fondée sur les spécificités du développement cérébral et les interactions avec l'environnement social.

      1. La Perception Biaisée de l'Adolescence

      Traditionnellement, l'adolescence est perçue sous l'angle de la prise de risque, des difficultés et de la vulnérabilité. Les adultes ont du mal à comprendre le fonctionnement des adolescents, et cette incompréhension est réciproque.

      Les adolescents, malgré les cours de biologie, ont peu d'informations sur leur propre cerveau et ses spécificités. La psychologie a souvent abordé l'adolescence sous l'angle des psychopathologies.

      Cassotti et son collègue Grégoire Bord ont cherché à changer cette perspective, arguant que notre perception est souvent biaisée par un "biais de génération" : "on a tendance à considérer que les générations d'après les nôtres sont d'après la nôtre est toujours moins bien que la nôtre les générations d'après sont toujours moins bien ah bah de mon temps on était meilleur".

      Ce biais nous pousse à ne pas suffisamment explorer les aspects positifs de cette période. L'engagement des adolescents pour des causes comme la justice sociale ou le climat est souvent minimisé ou dévalorisé par les adultes.

      Le livre "C'est pas moi, c'est mon cerveau" vise à vulgariser le fonctionnement du cerveau adolescent pour les adolescents eux-mêmes, afin qu'ils "comprennent un petit peu mieux leur fonctionnement pour qu'ils puissent à partir de cette compréhension euh soit euh faire en sorte de changer un certain nombre de comportements soit au contraire de se sentir légitime de pouvoir essayer de de faire quelque chose et d'essayer de le changer".

      2. Le Cerveau Adolescent : Une Période de Développement et de Plasticité

      Le cerveau adolescent, bien que similaire en forme à celui de l'adulte, est encore en plein développement, une période qui peut s'étendre "jusqu'à 25 ans".

      Cette immaturité n'est pas uniquement biologique mais est fortement influencée par l'environnement.

      L'adolescence est une "fenêtre de plasticité particulière" avec des changements tardifs et d'importantes différences interindividuelles (par exemple, le début de la puberté).

      Une découverte clé des 20 dernières années en neurosciences, notamment grâce aux travaux de Bétio Ky, est la maturation progressive et hétérogène du cerveau :

      Les régions impliquées dans la réactivité émotionnelle (système limbique) maturent beaucoup plus rapidement. Les régions impliquées dans la régulation et le contrôle (cortex préfrontal) maturent plus tardivement.

      Ce décalage explique en partie la spécificité de l'adolescence : une "maturation fonctionnelle des systèmes de la réactivité émotionnelle mais pas encore c'est du contrôle".

      Cela conduit à une "hypersensibilité émotionnelle" observée dans de nombreuses recherches, notamment face aux stimuli positifs comme les visages exprimant la joie, qui activent fortement le réseau de la récompense.

      Cependant, cette immaturité n'est pas une "incapacité" mais plutôt une période "en cours d'apprentissage". L'environnement joue un rôle crucial dans le développement de l'autorégulation émotionnelle.

      L'apprentissage de la verbalisation, de l'identification et de la gestion des émotions est essentiel et "très peu enseigné de façon explicite aux adolescents".

      3. Émotions Complexes et Prise de Décision

      L'hypersensibilité émotionnelle des adolescents n'est pas uniforme pour toutes les émotions.

      Si elle est bien établie pour la joie et la peur, les émotions sociales comme la honte, la culpabilité ou la jalousie, ainsi que le regret et le soulagement, sont plus complexes.

      Le Regret : Les adolescents ressentent moins de regret que les adultes et l'anticipent moins.

      Le regret, défini comme la différence entre le résultat obtenu et ce qui aurait pu être obtenu avec un autre choix, est soutenu par le cortex préfrontal, qui est encore immature. Cela peut expliquer une moindre capacité à apprendre de leurs erreurs dans des situations où le regret est un signal d'apprentissage clé.

      Prise de Risque : Concernant la prise de décision et de risque, les adolescents sont "aussi bons que les adultes" à partir de 15 ans lorsqu'ils disposent de toutes les informations nécessaires.

      Cependant, leur capacité à apprendre des feedbacks de l'environnement (positifs ou négatifs) est plus difficile que chez les adultes, en particulier lorsque l'information sur le risque n'est pas explicite et doit être extraite de l'expérience.

      "ce n'est pas uniquement une question de contrôle c'est aussi parce que ils sont pas des preneurs de risque complètement fous c'est c'est aussi parfois une capacité à apprendre de des feedback qu'il vont avoir de leur environnement positif et négatif et donc là c'est plus difficile que chez les adultes".

      4. Influence Sociale et Conformisme

      Contrairement à l'idée répandue, les adolescents ne sont pas "davantage des moutons que nous le sommes nous en tant qu'adultes".

      Les adultes sont également très sensibles au conformisme social, même dans des situations où la bonne réponse est évidente.

      Les études montrent que le conformisme social est maximal chez les enfants et "minimal à l'adolescence à l'âge de 17 ans".

      Cependant, cette tendance s'inverse dans les situations d'incertitude et surtout en contexte social, où les adolescents peuvent montrer une "hypersensibilité au contexte social", particulièrement dans les situations de prise de risque.

      En présence de leurs pairs, ils sont enclins à prendre plus de risques.

      L'imagerie cérébrale révèle que cette influence sociale n'affecte pas le contrôle mais stimule le réseau de la récompense. Deux interprétations sont proposées :

      • Le contexte social stimule la sensibilité aux récompenses immédiates.

      • La "représentation qu'ils ont de la norme sociale de ce qui est valorisé par leur père" inclut la prise de risque, menant à une récompense sociale. Cette seconde interprétation est privilégiée par Cassotti, d'autant plus que l'effet est plus prononcé chez les garçons que chez les filles, reflétant des normes sociales différentes.

      • Lorsque l'observateur change (par exemple, la mère au lieu des pairs), l'activation du striatum ventral (récompense) diminue et les régions de contrôle s'activent, réduisant la prise de risque.

      Cela souligne l'importance des "normes sociales et l'impact en vérité de ces normes sociales sur les adolescents sont sont différentes".

      Il est crucial de travailler sur le conformisme social avec les adolescents, non pour le supprimer (ce qui est impossible), mais pour les aider à "comprendre cette dynamique avoir une vraie représentation explicite du fait qu'il existe ce conformisme social et détecter dans certaines situations où il faut pas se conformer".

      La peur de l'exclusion est un moteur puissant du conformisme, et il est important d'aider les adolescents à relativiser ce "coût affectif".

      5. Écouter et Soutenir les Adolescents : La Créativité comme Moteur

      Cassotti insiste sur l'importance d'écouter davantage les adolescents et de ne pas se contenter de leur dicter des solutions.

      Il propose un "changement de paradigme" où les adolescents deviennent "acteurs de la façon de résoudre les problèmes", en particulier pour des défis complexes comme la transition écologique, pour lesquels les adultes n'ont pas toujours les solutions.

      Le laboratoire de Cassotti s'engage dans la co-conception de recherche avec les adolescents, leur fournissant des "outils pour penser, les outils pour réfléchir par eux-mêmes et proposer les solutions par eux-mêmes".

      La Réactivité Émotionnelle comme Moteur d'Engagement : L'hypersensibilité émotionnelle des adolescents aux injustices sociales peut être un puissant moteur d'exploration et d'engagement.

      Cette réactivité émotionnelle est non seulement plus forte mais "dure plus longtemps dans le temps" que chez les adultes, qui ont tendance à diluer leurs émotions, à utiliser des mécanismes de coping pour réguler les affects négatifs, ou à ne pas savoir quoi faire.

      Cette "spécificité de l'adolescence qu'on peut documenter d'un point de vue neuro" peut être utilisée comme un élément de stimulation pour "une volonté d'agir et de changer les choses".

      Créativité : Les adultes ont souvent des "blocages cognitifs" qui les empêchent de proposer des solutions créatives, retombant au niveau d'enfants de CM1/CM2 pour des problèmes complexes.

      Le cerveau a tendance à rechercher des solutions par analogie, ce qui mène souvent à des réponses convenues et peu originales.

      Par exemple, pour le problème de l'œuf lâché de 10m, la plupart des solutions se regroupent en trois catégories : ralentir la chute, amortir la chute, ou protéger l'œuf.

      Il est essentiel de "sortir de ce cadre là" en explorant de nouvelles connaissances (par exemple, les propriétés naturelles de l'œuf, jouer sur le problème lui-même).

      Même les idées "farfelues" peuvent être précieuses car elles "déclenchent comme activation de connaissance pour pouvoir ensuite aller explorer des solutions nouvelles".

      Il y a un "vrai enjeu à travailler avec les adolescents pour les aider et les soutenir dans leur démarche plutôt que pour les enfermer".

      En somme, Mathieu Cassotti invite à reconsidérer l'adolescence non pas comme une période de problèmes à gérer, mais comme une phase de développement unique avec des spécificités neurologiques et psychologiques qui, si elles sont comprises et soutenues, peuvent devenir de puissants atouts pour l'innovation, l'engagement social et la résolution de problèmes complexes.

    1. Note de synthèse : "Le Gaslighting, outil de pensée et arme d’émancipation" - Hélène Frappat

      • Cette note de synthèse s'appuie sur une retranscription d'une conférence donnée par Hélène Frappat, philosophe, traductrice et écrivaine, autour de son essai "Le Gaslighting ou l'art de faire taire les femmes" (2023).

      L'intervention explore la notion de "gaslighting" non seulement comme concept psychologique, mais aussi comme outil philosophique et politique pour comprendre les mécanismes de manipulation, de déshumanisation et de destruction du langage.

      Thèmes principaux et idées clés :

      1. Le Gaslighting : Un concept philosophique et politique issu du cinéma

      • Origine du terme : Le terme "gaslighting" provient directement du film éponyme de George Cukor (1944), lui-même une adaptation d'une pièce de théâtre. Le film met en scène la manipulation d'une femme par son mari qui la convainc qu'elle est folle, notamment en abaissant l'intensité des lampes à gaz (d'où le nom) et en niant la réalité de ses perceptions.
      • Fonctionnement du gaslighting : Il s'agit d'une destruction du langage humain et du sens commun, une "déliaison" du langage. Le but est de "tuer l'autre dans le langage", de le faire douter de sa propre perception du réel, de le rendre fou ou docile. Frappat souligne que le gaslighting n'est pas tant une question d'intentionnalité psychologique que de mécanismes de pouvoir.
      • Dimension politique du gaslighting : Hélène Frappat étend le concept au-delà des relations interpersonnelles pour l'appliquer à la sphère politique. Elle cite des exemples contemporains comme le macronisme ("bienveillance" détournée de son sens) ou le négationnisme ("qui se souvient des Arméniens ?"), où des mots sont volés, des faits niés, et des réalités alternatives imposées. Elle affirme que le négationnisme est une forme de gaslighting.

      2. Le cinéma comme outil de pensée et de révélation

      • Le cinéma comme "thatrum" : Reprenant l'étymologie du mot "théâtre" (le lieu où l'on regarde), Frappat insiste sur le cinéma comme "lieu du regard", de la "convergence des regards", et donc comme lieu de la pensée et du désir. Elle critique l'utilisation réductrice du cinéma comme simple illustration d'idées.
      • "Les films nous regardent" : Le cinéma n'est pas passif ; il nous confronte, nous interroge et révèle des enjeux très contemporains. Elle analyse le film Gaslight de Cukor comme une réflexion sur le mariage traditionnel comme "maison de l'horreur" et un "manuel de déshumanisation" de la femme.
      • Révolutionner le regard : Le film Basic Instinct de Paul Verhoeven est présenté comme un contrepoint à Vertigo d'Hitchcock. Si dans Vertigo, l'héroïne est "regardée" (et tuée), dans Basic Instinct, l'héroïne "regarde" (et tue), incarnant l'émancipation par le regard et la voix. La "chatte" de Sharon Stone devient un "regard qui nous regarde", un lieu de subjectivité qui tue, une subversion de la prédation du regard masculin.

      3. Le lien entre violence conjugale et violence politique : La voix de la femme niée et réappropriée

      • La voix comme enjeu de pouvoir : L'étranglement de la voix est un thème central. Le film Gaslight montre comment la voix d'Ingrid Bergman est progressivement éteinte, du contenu de ses phrases à la tonalité de son son. Ce mécanisme d'étouffement de la voix féminine est historique.
      • La généalogie de la voix féminine répugnante : S'appuyant sur les travaux d'Anne Carson (The Gender of Sound), Frappat retrace la longue histoire de la dénégation de la voix féminine dans la philosophie grecque, notamment chez Aristote. Celui-ci, par une "pseudo-analogie" absurde entre la machine à tisser et les testicules, lie la voix grave (masculine) à la suprématie politique et la voix aiguë (féminine, homosexuelle, des "calamites") à l'absence d'autorité. La voix de la femme est perçue comme un "flux" lié au corps (utérus, menstruations, larmes), donc impur et répugnant, devant être verrouillé.
      • Le silence comme "cosmos" de la femme : Citant Sophocle ("le silence est le cosmos de la femme"), Frappat souligne que le silence a longtemps été la "loi" imposée aux femmes.
      • L'acte de "pleurer à la place de" : L'écrivaine se voit comme celle qui "pleure à la place de" (référence à Something's Got to Give de Cukor), non pas pour une écriture larmoyante, mais pour incarner un travail d'empathie, de se mettre à la place de l'autre, dévoyé par des discours politiques comme celui de Macron sur la "bienveillance".

      4. La méthode d'écriture : La "nonfiction" et l'analogie comme mode de pensée

      • La forme comme méthode : Pour Hélène Frappat, la méthode d'écriture est intrinsèquement liée à la forme. Elle se reconnaît dans le genre de la "nonfiction" (Rebecca Solnit, Anne Carson), qui transgresse les frontières des genres littéraires et mélange roman, essai, traduction, et critique cinématographique.
      • La démarche analogique : Sa pensée est profondément analogique, cherchant à "faire le lien" entre des domaines, des époques et des œuvres apparemment disparates (philosophie de Kant, tragédie grecque, films hollywoodiens, littérature enfantine comme Fantomette). Elle rejette les hiérarchies bourgeoises du "bon goût" et la chronologie linéaire.
      • L'écriture comme acte de résistance : L'écriture, en particulier le fait de "dire la vérité" et de "témoigner" (comme le journal dans 1984 d'Orwell), est une arme contre le gaslighting. La "suspension consentie de la croyance" (Coleridge), permise par l'ironie, est une manière de ne plus consentir aux récits qui nous nient.
      • L'incarnation et le présent de l'œuvre : Les œuvres, qu'elles soient antiques ou contemporaines, existent au présent pour le lecteur. L'écrivain donne corps aux personnages, les rendant plus réels que certaines personnes.

      Citations marquantes :

      • "Le gaslighting, c'est l'art de faire taire les femmes."
      • "Les films nous regardent."
      • "Le livre [Gaslighting] est autant une enquête qu'une méthode de combat contre les pratiques de gaslighting contemporaines."
      • "La question c'est pas Célan et ce poète grec, la question c'est le lien en fait." (Anne Carson)
      • "Est-ce que je peux pleurer pour toi ?" (Something's Got to Give) – l'épigraphe de Trois femmes disparaissent.
      • "La voix d'une femme est une partie intime." (Les talibans, écho à Aristote)
      • "Le silence est le cosmos de la femme." (Sophocle)
      • "Le plus grand film jamais réalisé sur le mariage, c'est un film d'horreur." (Sur Gaslight de Cukor)
      • "L'intentionnalité, ça nourrit des pensées du péché, c'est pas mon sujet. Et par ailleurs, je ne m'intéresse pas à la psychologie, et George Cukor non plus. Parce que la psychologie nous éloigne de la politique."
      • "Il faut être deux pour commencer à parler, sinon on est fou." (Wittgenstein)
      • "Écrire c'est pas mettre des mots les uns à côté des autres comme on tisse un collier de perles." (Henry James)
      • "La question c'est est-ce que ce qu'elle [Monique Wittig] va dire est intéressant ou pas." (Deleuze)

      En résumé, Hélène Frappat propose une exploration riche et transversale du gaslighting, en le dépeignant comme une violence fondamentale qui s'exerce sur le langage, la perception du réel et la subjectivité, particulièrement celle des femmes.

      Son approche, qui embrasse philosophie, cinéma, littérature et histoire, vise à déconstruire ces mécanismes pour mieux les combattre, en plaçant la forme, le lien, l'empathie et la résistance de la voix au cœur de sa démarche intellectuelle et créative.

    1. Document de Synthèse : Sociologie de la Défiance et de l'Adhésion aux Croyances dans le Domaine Scientifique

      Ce document explore la sociologie de la défiance et de l'adhésion aux croyances scientifiques, en se concentrant sur l'affaire Wakefield et ses répercussions sur la confiance vaccinale.

      L'analyse met en lumière le rôle des médias, les normes scientifiques, le contexte social et la diffusion des informations sur internet.

      1. Cadre Sociologique et Point de Vue de l'Auteure

      • Romy Sauvayre, l'auteure, se positionne dans une approche sociologique qui étudie "les raisons pour lesquelles les acteurs sociaux vont faire ce qu'ils font, croire ce qu'ils croient".

      Elle ne cherche pas à déterminer ce qui est "vrai" ou "faux" en soi, mais plutôt ce que les scientifiques considèrent comme tel à un moment donné, reconnaissant que cette perception peut évoluer.

      Son analyse se concentre sur "la relation entre empirique et perception qu'on a de recherche scientifique". * 2. L'Affaire Wakefield : Une Chronologie et ses Effets

      L'affaire Wakefield est un cas d'étude central pour comprendre la défiance vaccinale.

      • Origine (1998) : Le Dr. Andrew Wakefield, gastro-entérologue, publie un article dans la revue The Lancet suggérant un lien entre le vaccin ROR (rougeole, oreillons, rubéole) et l'inflammation intestinale, et potentiellement l'autisme. Il est important de noter que l'article était publié sous l'étiquette "article de prévention", indiquant qu'il s'agissait d'une recherche préliminaire et non d'une preuve définitive. Les co-auteurs eux-mêmes n'ont pas établi de lien direct entre l'autisme et les vaccins, seulement entre le vaccin et la maladie intestinale.
      • Contexte Préexistant à la Publication :
      • Crise de la Vache Folle (ESB) : De 1985 à 2000, la crise de la vache folle a fortement érodé la confiance du public britannique envers les scientifiques et le gouvernement. "La science elle dit soyez sûrs c'est un cas de déviation britannique qui est appelé chance dans la science". Cela a créé un terrain fertile pour la méfiance envers les déclarations scientifiques officielles.
      • Retrait de Vaccins ROR (1992) : Deux vaccins ROR avaient déjà été retirés du marché six ans plus tôt en raison d'effets secondaires, renforçant les craintes préexistantes.
      • Rôle des Médias (1998-2004) :
      • Soutien Initiale : Les médias britanniques, en particulier le Sunday Times et le Panorama de la BBC (émission "MMR: What The Doctors Won't Tell You" en 2002), ont "promptement soutenu la thèse de Wakefield". Ils ont accordé une grande visibilité à Wakefield, en partie parce qu'il était un expert reconnu et avait un statut académique important (76 publications, senior researcher).
      • Biais de Diffusion : Les journalistes ont "davantage diffusé la thème de Wakefield que toute autre thèse", en privilégiant les études qui abondaient dans son sens et en "ne médiatisant pas" les études remettant en cause son hypothèse. Le pic de médiatisation a eu lieu en 2002, suite au documentaire de la BBC.
      • Conséquence Directe : Cette médiatisation a eu un "impact énorme sur la vaccination des génies". On observe une "chute conséquente du taux de vaccination" après la publication de l'article de Wakefield en février 1998, et pendant toute la période de médiatisation. Le taux de vaccination ROR est passé de 92% à 83% dans certaines régions du Royaume-Uni.

      3. Point de Vue des Scientifiques et Contestations

      Bien que les médias aient initialement soutenu Wakefield, la communauté scientifique n'était "pas unanime" et des contestations ont rapidement émergé.

      • Critiques Méthodologiques (Dès 1998) :
      • Taille de l'Échantillon : L'étude de Wakefield portait sur seulement 12 enfants, un nombre jugé insuffisant pour tirer des conclusions générales. "12 c'est quand même pas bon".
      • Manque de Groupe Témoin et de Double Aveugle : La méthodologie ne comprenait pas de groupe de contrôle ni de protocole en double aveugle, des normes aujourd'hui "très valorisée" en recherche médicale.
      • Biais de Sélection et Conflits d'Intérêts : Le recrutement des enfants s'est fait via un "réseau d'association de personnes plaignantes qui pensaient que le vaccin contre la rougeole posait l'autisme", suggérant un biais de sélection. Il a été révélé plus tard que Wakefield avait des "conflits d'intérêt" et des "fins pour pouvoir apporter des preuves en faveur de son hypothèse".
      • Données Partielles et Antécédents : Les données rapportées étaient partielles, et les travaux précédents de Wakefield, bien que reçus, contenaient déjà des "problèmes méthodologiques" qui rendaient difficile la détection d'un virus dans l'intestin.
      • Réponse des Institutions Scientifiques :
      • Académie des Sciences : L'Académie des Sciences a initialement déclaré ne pas avoir "les moyens de falsifier l'hypothèse de Wakefield", ce qui, selon l'auteure, n'aurait pas dû être interprété comme une validation. En sciences médicales, on ne se prononce qu'avec des preuves suffisantes.
      • Institute of Medicine (2004) : En 2004, l'Institute of Medicine a publié un rapport concluant qu'il n'y avait "pas de danger à inoculer le vaccin ROR", marquant un tournant.

      4. Le Rôle de l'Investigation Journalistique et la Rétractation

      Le changement de perception médiatique est dû à une enquête journalistique approfondie.

      • Enquête du Sunday Times (2004) : Brian Deer, un journaliste d'investigation du Sunday Times, a mené une enquête minutieuse, rencontrant tous les acteurs et consultant les dossiers d'éthique. Il a "constaté qu'il y a des examens invasifs sur les enfants" (colonoscopies, fonctions d'anglais) qui n'étaient "pas possibles" ou "inacceptables" d'un point de vue éthique. Cette révélation a alerté le conseil de l'ordre.
      • Arrêt du Soutien Médiatique : Suite à ces révélations, "les médias arrêtent de soutenir" Wakefield.
      • Radiation de Wakefield (2010) : Le Conseil Général Médical (General Medical Council) a mené une longue enquête (2004-2010), culminant par le "retrait le droit d'exercer" à Wakefield en 2010. L'article original a été "retiré en 2010" par The Lancet. Les motifs incluaient des "conflits d'intérêt" et la réalisation d'"examens organisés pour les fonds et sur le peuple sans collectivité".

      5. L'Ère d'Internet et la Persistance de la Défiance

      Malgré la radiation de Wakefield et le retrait de son article, la défiance vaccinale a persisté, amplifiée par les plateformes numériques.

      • Diffusion de Théories Conspirationnistes : Wakefield a "publié un qui s'appelle conspirationnisme" après sa radiation. Il a affirmé que ses découvertes étaient si importantes que l'industrie pharmaceutique tentait de le "faire taire". "Bref il était donc sur le groupe d'une machination pour le feu terre".
      • Documentaire "Vaxxed" (2016) : En 2016, Wakefield a publié un documentaire "Vaxxed" sur les réseaux sociaux, qui "tient pour consiste le conspirationnisme de santé CDC", affirmant que le CDC (Centers for Disease Control and Prevention) aurait "caché des dans son et il continue à diffuser ça".
      • Rôle des Réseaux Sociaux : Les réseaux sociaux ont permis une "division très massive de ces antivaccinisme". La défiance vaccinale a été "d'abord puis sur les différentes réseaux sociaux". L'auteure souligne que le manque de validation scientifique ne freine pas la diffusion : "On est tous des cobages, c'est un maxin expérimental voilà ce qui se sur les réseaux sociaux".
      • Influence sur la Perception : La persistance de l'antivaccinisme est également liée à des mécanismes psychologiques : "si quelqu'un est gentil avec vous curieusement vous lui faites" confiance. La diffusion de ces idées est alimentée par des "personnes" qui "disent des choses comme ça affirmative", tandis que les scientifiques, dans leur rôle, "doivent toujours parler avec précaution" car les preuves sont "toujours sous une" incertitude jusqu'à confirmation par de multiples études.
      • Conséquences Durables : Malgré les efforts pour rétablir la confiance, "la défiance qu'il n'y avait à monde se sur les réseaux sociaux se retrouve avec une plus grande population de défis qui n'ont pas". En France, une partie de la population (environ 35%) "continue à marquer vacc".

      6. Leçons Apprises et Précautions

      Nécessité de la Précaution Scientifique : "Il est nécessaire d'être près que pressionner avec des études". La science exige une multiplicité de preuves et des méta-analyses pour valider les conclusions. Critique des Sources : L'auteure conseille de se méfier des informations sur les réseaux sociaux et de privilégier les sources fiables comme Google Scholar pour les questions médicales, qui "font des analyses sur plein de sujets libres" et permettent d'"assurer d'avoir une information juste".

      Responsabilité des Journalistes : Les journalistes ont une "part de responsabilité" dans la diffusion d'études minoritaires et contestées. Ils devraient "diffuser davantage l'information que la précaution" quand ils se basent sur un consensus scientifique majoritaire.

      En conclusion, l'affaire Wakefield illustre la complexité de la diffusion des croyances scientifiques, l'impact majeur du contexte socio-historique, le rôle ambivalent des médias (initialement facilitateurs de la désinformation, puis correcteurs par l'investigation), et la capacité d'internet à perpétuer et amplifier la défiance, même face à un consensus scientifique établi.

    1. Compte-rendu détaillé : Labels et marques - leviers de différenciation

      • Contexte du Webinaire : Ce webinaire, animé par Débora Récher de Logitourisme, s'inscrit dans le parcours "Expérience client" pour Moselle Académie.

      L'objectif est d'éclairer les professionnels du tourisme, de la culture et de la gastronomie sur la distinction et les bénéfices des labels et marques comme outils de différenciation dans un marché concurrentiel.

      1. Distinction entre Labels et Marques

      Il est crucial de bien différencier un label d'une marque, car ils remplissent des fonctions distinctes :

      • Label : Un label est un "signe officiel ou privé... reconnaissant une qualité ou un engagement selon un cahier des charges bien précis." (Débora Récher). Il certifie le respect de critères spécifiques.
      • Exemples cités : Gîtes de France, Clé Vacances (hébergement), Qualité Tourisme (qui deviendra Destination d'Excellence), Accueil Vélo, Tourisme et Handicap.
      • Caractéristique clé : Basé sur une grille de critères, il permet ou non d'être labellisé.
      • Marque : Une marque est "une identité d'une organisation, c'est d'un territoire, c'est porteuse de valeur et d'image. Très souvent la marque c'est du marketing, c'est ce qui permet d'être d'être clairement identifié." (Débora Récher). Elle représente une identité forte, souvent déposée auprès de l'INPI pour se protéger de la concurrence.
      • Exemples cités : Nike (marque de consommation courante), Esprit Parc National, Moselle (marque territoriale), Normandie Impressionniste.
      • Caractéristique clé : Axée sur le marketing et la communication de valeurs et d'une image.

      2. Pourquoi choisir un Label ou une Marque ?

      Le choix d'un label ou d'une marque est volontaire et vise à :

      • Se différencier dans un marché concurrentiel : Le tourisme en France est un secteur "extrêmement concurrentiel" (Débora Récher), avec une offre pléthorique. Labels et marques permettent de se distinguer.
      • Garantir le sérieux et la qualité : Ils offrent "une gage de sérieux et de qualité" pour le consommateur, qui doit "avoir compris ce qu'il y avait derrière ce label et que ce label a du sens." (Débora Récher).
      • Bénéficier d'une reconnaissance :Officielle/Institutionnelle : Comme l'aide à la création d'hébergements conditionnée à l'affiliation à un label.
      • Territoriale : Une marque territoriale partagée et connue, pouvant être "prescripteur, ambassadeur et fasse vivre une marque" (Débora Récher).
      • Valoriser des engagements spécifiques : Qualité, durabilité, accueil spécifique (ex: Accueil Vélo pour la clientèle cycliste, Tourisme et Handicap pour l'inclusivité). Cela "rassure" le client.
      • Profiter d'un réseau et d'une promotion collective : Travailler en réseau est "beaucoup plus simple que travailler tout seul dans son dans son coin" (Débora Récher), offrant une dynamique collective, promotion et parfois formations.
      • Renforcer la confiance des clientèles : C'est un objectif primordial.

      3. Pièges à éviter et Précautions

      • Ne pas accumuler les labels : "Plus c'est pas parce que plus vous en avez que plus vous serez visible, parfois ça brouille complètement la lisibilité on ne sait plus qui vous êtes et ce que vous êtes." (Débora Récher).
      • Cohérence avec les valeurs et la clientèle cible : Un label doit être "cohérent avec vos valeurs et votre clientèle cible" (Débora Récher). Une communication "qui va pour tout le monde à tout va... vous communiquez dans le vide." (Débora Récher).
      • Engagement sincère : Au-delà de l'opportunisme, il doit y avoir un "engagement sincère". Si les clients ne retrouvent pas les engagements du label (ex: écolabels), cela sera "contreproductif" et entraînera insatisfaction, notamment via les réseaux sociaux.

      4. Comment choisir son Label ou sa Marque ?

      • Le choix doit être stratégique et réfléchi :
      • Définir les objectifs : Qualité, visibilité, accompagnement.
      • Identifier les valeurs à mettre en avant : "Les valeurs que vous voulez vous mettre en avant on en a parlé ça c'est très important" (Débora Récher).
      • Cibler la clientèle : À qui s'adresse le produit ou le service ?
      • Évaluer la notoriété et le dynamisme du label/marque : Est-il reconnu par la clientèle ? Quelles sont les actions menées par les porteurs du label ?
      • Estimer l'effort et l'engagement requis : Êtes-vous prêt à modifier des pratiques ou des équipements ?
      • Le coût de la cotisation : Ne doit pas être le facteur de choix principal, car "le prix est une notion relative pour peu que derrière vous ayez le service attendu." (Débora Récher). L'important est la stratégie et le bénéfice escompté.

      5. Exemples Inspirants par Secteur

      Débora Récher a présenté de nombreux exemples de labels et marques, illustrant leur diversité et leur pertinence :

      • Tourisme :Qualité d'accueil : Qualité Tourisme, Gîtes de France, Clé Vacances.
      • Thématiques : Accueil Vélo, Tourisme et Handicap (inclusif, pour différents types de handicaps, personnes âgées, familles avec poussettes).
      • Marques de territoire/destination : OnlyLyon, Esprit Parc, Valeurs Parc, Alsace (avec son logo en forme de bretzel).
      • Spécifiques : Famille Plus (destinations adaptées aux familles), Pavillon Bleu (plages et ports propres), Jardin Remarquable (jardins d'exception), Entreprise du Patrimoine Vivant (savoir-faire artisanaux et industriels d'excellence).
      • Culture et Patrimoine :Généralistes : Ville et Pays d'Art et d'Histoire (valorise politique culturelle ambitieuse), UNESCO (sites culturels/naturels d'exception).
      • Spécifiques : Patrimoine du 20e Siècle (architectures modernes/post-industrielles), Maison des Illustres (lieux liés à personnages célèbres).
      • Équipements culturels : Scène Nationale, Musées de France (garantissent conservation, valorisation, expertise scientifique), France Muséum (exportation savoir-faire muséal français).
      • Événements : Festivals de musique labellisés, événements éco-engagés (réduction déchets, etc.).
      • Itinéraires : Itinéraires culturels européens (ex: Route des Abbayes Cisterciennes).
      • Artisanat (compléments) : Qualités Artisan Métier d'Art, MOF, Maître Artisan, France Terre Textile (pour les Vosges).
      • Gastronomie et Terroir :Produits : AOP, AOC, IGP (ex: Mirabelle de Lorraine, Vin de Moselle, Quiche Lorraine), Label Rouge (produits de qualité supérieure), Agriculture Biologique.
      • Tourisme œnologique et circuits gourmands : Vignobles et Découvertes, Route des Vins de Moselle, Vallée de la Gastronomie.
      • Accueil à la ferme : Bienvenue à la Ferme (favorise vente directe et accueil touristique, répond à la demande de "circuit court" et consommation locale).
      • Restauration : Collège Culinaire de France, Tables Distinguées, Bistrot de Pays, Écotable (restauration durable et responsable).

      6. Le Cas Spécifique de la Moselle

      La Moselle offre un exemple intéressant d'imbrication entre marque et label :

      • La marque "Moselle" (Moselle Sans Limite) : Lancée par le département en 2017, c'est une "marque territoriale" qui vise à "valoriser l'attractivité globale du territoire" (Débora Récher), incluant le tourisme, l'économie, la gastronomie, l'artisanat et la culture. C'est une bannière pour tous.
      • Le label "Qualité Moselle" : Attribué aux produits, savoir-faire, hébergements, artisans et restaurateurs qui respectent un cahier des charges de qualité et ont un "ancrage local fort." (Débora Récher).
      • L'un soutient l'autre : on peut utiliser le logo de la marque Moselle sur son site pour communiquer l'identité globale, et aller plus loin en obtenant le label Qualité Moselle pour valoriser un savoir-faire précis et gagner en visibilité commerciale. Cette synergie locale est essentielle : "Plus elle est partagée par tous, c'est-à-dire les prestataires, les professionnels, plus elle va être visible." (Débora Récher). Cela garantit "qualité et identité locale", rassure le client sur l'authenticité et la provenance locale des produits et services.

      7. Bilan et Recommandations Clés

      • Choisir 1 à 3 labels/marques maximum : Pour maintenir une stratégie "lisible".
      • Intégrer la stratégie de labellisation : Le choix doit être intégré à l'offre, la communication et l'équipe. "Travaillez votre marque et travaillez votre label pour en tirer le meilleur profit." (Débora Récher).
      • Utiliser les labels/marques dans la communication : Les intégrer dans les supports de communication et la stratégie marketing.
      • Suivre les résultats : Ne pas se limiter au retour sur investissement direct. Surveiller l'image améliorée, la notoriété accrue, la visibilité, l'acquisition de nouvelles clientèles et la satisfaction client. Les avis clients en ligne sont des indicateurs "très forts" (Débora Récher), et un label reconnu peut "impacter directement l'image de votre établissement d'un point de vue positif".
      • Un label est un outil, pas une fin en soi : "Le label doit servir votre stratégie marketing, votre stratégie de communication." (Débora Récher). Ne pas être déçu si un label n'est pas obtenu, d'autres options peuvent être plus adaptées.
      • Nécessité d'une présence en ligne : Un site internet est "rigoureusement nécessaire pour démarrer" (Débora Récher). 80% des touristes préparent leur séjour en ligne et près de la moitié réservent directement. Les clients croisent les informations (ex: Airbnb et site internet propre) pour se rassurer.

      Conseils supplémentaires :

      Demander les cahiers des charges des labels pertinents. Contacter les institutions (Moselle Attractivité, labels nationaux) pour des renseignements et un accompagnement.

      Évaluer les services d'accompagnement individuels souvent proposés par les labels.

      Faire du benchmarking : consulter les expériences d'autres professionnels labellisés.

    1. Reviewer #2 (Public review):

      Summary:

      The manuscript by Jia and Chen addresses the structural basis of voltage-activation of BK channels using computational approaches. Although a number of experimental studies using gating current and patch-clamp recording have analyzed voltage-activation in terms of observed charge movements and the apparent energetic coupling between voltage-sensor movement and channel opening, the structural changes that underlie this phenomenon have been unclear. The present studies use a reduced molecular system comprising the transmembrane portion of the BK channel (i.e. the cytosolic domain was deleted), embedded in a POPC membrane, with either 0 or 750 mV applied across the membrane. This system enabled acquisition of long simulations of 10 microseconds, to permit tracking of conformational changes of the channel. The authors principal findings were that the side chains of R210 and R213 rapidly moved toward the extracellular side of the membrane (by 8 - 10 Å), with greater displacements than any of the other charged transmembrane residues. These movements appeared tightly coupled to movement of the pore-lining helix, pore hydration, and ion permeation. The authors estimate that R210 and R213 contribute 0.25 and 0.19 elementary charges per residue to the gating current, which is roughly consistent with estimates based on electrophysiological measurements that used the full-length channel.

      Strengths:

      The methodologies used in this work are sound, and these studies certainly contribute to our understanding of voltage-gating of BK channels. An intriguing observation is the strongly coupled movement of the S4, S5, and S6 helices that appear to underlie voltage-dependent opening. Based on Fig 2a-d, the substantial movements of the R210 and R213 side chains occur nearly simultaneously to the S6 movement (between 4 - 5 usec of simulation time). This seems to provide support for a "helix-packing" mechanism of voltage gating in the so-called "non-domain-swapped" voltage-gated K channels.

      Weaknesses:

      The main limitation is that these studies used a truncated version of the BK channel, and there are likely to be differences in VSD-pore coupling in the context of the full-length channels that will not be resolved in the present work. Nonetheless, the authors provide a strong rationale for their use of the truncated channel, and the results presented will provide a good starting point for future computational studies of this channel.

    2. Author response:

      The following is the authors’ response to the original reviews.

      Recommendations for the authors:

      Reviewing Editor Comments:

      The resubmitted version of the manuscript adequately addressed several initial comments made by reviewing editors, including a more detailed analysis of the results (such as those of bilayer thickness). This version was seen by 2 reviewers. Both reviewers recognize this work as being an important contribution to the field of BK and voltage-dependent ion channels in general. The long trajectories and the rigorous/novel analyses have revealed important insights into the mechanisms of voltage-sensing and electromechanical coupling in the context of a truncated variant of the BK channel. Many of these observations are consistent with structural and functional measurements of the channel, available thus far. The authors also identify a novel partially expanded state of the channel pore that is accessed after gating-charge displacement, which informs the sequence of structural events accompanying voltage-dependent opening of BK.

      However, there are key concerns regarding the use of the truncated channel in the simulations. While many gating features of BK are preserved in the truncated variant, studies have suggested that opening of the channel pore to voltage-sensing domain rearrangement is impaired upon gating-ring deletion. So the inferences made here might only represent a partial view of the mechanism of electromechanical coupling.

      It is also not entirely clear whether the partially expanded pore represents a functionally open, sub-conductance, or another closed state. Although the authors provide evidence that the inner pore is hydrated in this partially open state, in the absence of additional structural/functional restraints, a confident assignment of a functional state to this structure state is difficult. Functional measurements of the truncated channel seem to suggest that not only is their single channel conductance lower than full-length channels, but they also appear to have a voltage-independent step that causes the gates to open. It is unclear whether it is this voltage-independent step that remains to be captured in these MD trajectories. A clean cut resolution of this conundrum might not be feasible at this time, but it could help present the various possibilities to the readers.

      We appreciate the positive comments and agree that there will likely be important differences between the mechanistic details of voltage activation between the Core-MT and full-length constructs of BK channels. We also agree that the dilated pore observed in the simulation may not be the fully open state of Core-MT.

      Nonetheless, the notion that the simulation may not have captured the full pore opening transition or the contribution of the CTD should not render the current work “incomplete”, because a complete understanding of BK activation would be an unrealistic goal beyond the scope of this work. We respectfully emphasize that the main insights of the current simulations are the mechanisms of voltage sensing (e.g., the nature of VSD movements, contributions of various charged residues, how small charge movements allow voltage sensing, etc.) as well as the role of the S4-S5-S6 interface in VSD-pore coupling. As noted by the Editor and reviewers, these insights represent important steps towards establishing a more complete understanding of BK activation.

      Below are the specific comments of the two experts who have assessed the work and made specific suggestions to improve the manuscript.

      Reviewer #1 (Recommendations for the authors):

      (1) Although the successful simulation of V-dependent K+ conduction through the BK channel pore and analysis of associated state dependent VSD/pore interactions and coupling analysis is significant, there are two related questions that are relevant to the conclusions and of interest to the BK channel community which I think should be addressed or discussed.

      One key feature of BK channels is their extraordinarily large conductance compared to other K+ selective channels. Do the simulations of K+ conductance provide any insight into this difference? Is the predicted conductance of BK larger than that of other K+ channels studied by similar methods? Is there any difference in the conductance mechanism (e.g., the hard and soft knock-on effects mentioned for BK)?

      The molecular basis of the large conductance of BK channels is indeed an interesting and fundamental question. Unfortunately, this is beyond the scope of this work and the current simulation does not appear to provide any insight into the basis of large conductance. It is interesting to note, though, the conductance is apparently related to the level of pore dilation and the pore hydration level, as increasing hydration level from ~30 to ~40 waters in the pore increases the simulated conductance from ~1.5 to 6 pS (page 8). This is consistent with previous atomistic simulations (Gu and de Groot, Nature Communications 2023; ref. 33) showing that the pore hydration level is strongly correlated with observed conductance. As noted in the manuscript, the conductance mechanism through the filter appears highly similar to previous simulations of other K+ channels (Page 8). Given the limit conductance events observed in the current simulations, we will refrain from discussing possible basis of the large conductance in BK channels except commenting on the role of pore hydration (page 8; also see below in response to #5).

      The pore in the MD simulations does not open as wide as the Ca-bound open structure, which (as the authors note) may mean that full opening requires longer than 10 us. I think that is highly likely given that the two 750 mV simulations yielded different degrees of opening and that in BK channels opening is generally much slower than charge movement. Therefore, a question is - do any of the conclusions illustrated in Figures 6, S5, S6 differ if the Ca-bound structure is used as the open state? For example, I expect the interactions between S5 and S6 might at least change to some extent as S6 moves to its final position. In this case, would conclusions about which residues interact, and get stronger or weaker, be the same as in Figures S6 b,c? Providing a comparison may help indicate to what extent the conclusions are dependent on achieving a fully open conformation.

      We appreciate the reviewer’s suggestion and have further analyzed the information flow and coupling pathways using the simulation trajectory initiated from the Ca2+-bound cryo-EM structure (sim 7, Table S1). The new results are shown in two new SI Figures S7 and S8, and new discussion has been added to pages 14-15. Comparing Figures 5 and S7, we find that dynamic community, coupling pathways, and information flow are highly similar between simulation of the open and closed states, even though there are significant differences in S5 contacts in the simulated open state vs Ca2+-bound open state (Figure S8). Interestingly, there are significant differences in S4-S5 packing in the simulated and Ca2+-bound open states (Figure S8 top panel), which likely reflect important difference in VSD/pore interactions during voltage vs Ca2+ activation.

      (2) P4 Significance -"first, successful direct simulation of voltage-activation"

      This statement may need rewording. As noted above Carrasquel-Ursulaez et al.,2022 (reference 39) simulated voltage sensor activation under comparable conditions to the current manuscript (3.9 us simulation at +400 mV), and made some similar conclusions regarding R210, R213 movement, and electric field focusing within the VSD. However, they did not report what happens to the pore or simulate K+ movement. So do the authors here mean something like "first, successful direct simulation of voltage-dependent channel opening"?

      We agree with the reviewer and have revised the statement to “ … the first successful direct simulation of voltage-dependent activation of the big potassium (BK) channel, ..”

      (3) P5 "We compare the membrane thickness at 300 and 750 mV and the results reveal no significant difference in the membrane thickness (Figure S2)" The figure also shows membrane thickness at 0 mV and indicates it is 1.4 Angstroms less than that at 300 or 750 mV. Whether or not this difference is significant should be stated, as the question being addressed is whether the structure is perturbed owing to the use of non-physiological voltages (which would include both 300 and 750 mV).

      We have revised the Figure S2 caption to clarify that one-way ANOVA suggest the difference is not significant.

      (4) P7 "It should be noted that the full-length BK channel in the Ca2+ bound state has an even larger intracellular opening (Figure 2f, green trace), suggesting that additional dilation of the pore may occur at longer timescales."

      As noted above, I agree it is likely that additional pore dilation may occur at longer timescales. However, for completeness, I suppose an alternative hypothesis should be noted, e.g. "...suggesting that additional dilation of the pore may occur at longer timescales, or in response to Ca-binding to the full length channel."

      This is a great suggestion. Revised as suggested.

      (5) Since the authors raise the possibility that they are simulating a subconductance state, some more discussion on this point would be helpful, especially in relation to the hydrophobic gate concept. Although the Magleby group concluded that the cytoplasmic mouth of the (fully open) pore has little impact on single channel conductance, that doesn't rule out that it becomes limiting in a partially open conformation. The simulation in Figure 3A shows an initial hydration of the pore with ~15 waters with little conductance events, suggesting that hydration per se may not suffice to define a fully open state. Indeed, the authors indicate that the simulated open state (w/ ~30-40 waters) has 1/4th the simulated conductance of the open structure (w/ ~60 waters). So is it the degree of hydration that limits conductance? Or is there a threshold of hydration that permits conductance and then other factors that limit conductance until the pore widens further? Addressing these issues might also be relevant to understanding the extraordinarily large conductance of fully open BK compared to other K channels.

      We agree with the reviewer’s proposal that pore hydration seems to be a major factor that can affect conductance. This is also well in-line with the previous computational study by Gu and de Groot (2023). We have now added a brief discussion on page 8, stating “Besides the limitation of the current fixed charge force fields in quantitively predicting channel conductance, we note that the molecular basis for the large conductance of BK channels is actually poorly understood (78). It is noteworthy that the pore hydration level appears to be an important factor in determining the apparent conductance in the simulation, which has also been proposed in a previous atomistic simulation study of the Aplysia BK channel (33).”

      Minor points

      (1) P5 "the fully relaxed pore profile (red trace in Figure S1d, top row) shows substantial differences compared to that of the Ca2+-free Cryo-EM structure of the full-length channel." For clarity, I suggest indicating which is the Ca-free profile - "... Ca2+-free Cryo-EM structure of the full-length channel (black trace)."

      We greatly appreciate the thoughtful suggestion. Revised as suggested.

      (2) P8 "Consistent with previous simulations (78-80), the conductance follows a multi-ion mechanism, where there are at least two K+ ions inside the filter" For clarity, I suggest indicating these are not previous simulations of BK channels (e.g., "previous simulations of other K+ channels ...").

      Revised as suggested. Thank you.

      (3) Figure 2, S1 - grey traces representing individual subunits are very difficult to see (especially if printed). I wonder if they should be made slightly darker. Similar traces in Figure 3 are easier to see.

      The traces in Figure S1 are actually the same thickness in Figure 3 and they appear lighter due to the size of the figure. Figure 2 panels a-c have been updated to improve the resolution.

      (4) Figure 2 - suggest labeling S6 as "S6 313-324" (similar to S4 notation) to indicate it is not the entire segment.

      Figure 2 panel d) has been updated as suggested.

      (5) Figure 2 legend - "Voltage activation of Core-MT BK channels. a-d)..."

      It would be easier to find details corresponding to individual panels if they were referenced individually. For example:

      "a-d) results from a 10-μs simulation under 750 mV (sim2b in Table S1). Each data point represents the average of four subunits for a given snapshot (thin grey lines), and the colored thick lines plot the running average. a) z-displacement of key side chain charged groups from initial positions. The locations of charged groups were taken as those of guanidinium CZ atoms (for Arg) and sidechain carboxyl carbons (for Asp/Glu) b) z-displacement of centers-of-mass of VSD helices from initial positions, c) backbone RMSD of the pore-lining S6 (F307-L325) to the open state, and d) tilt angles of all TM helices. Only residues 313-324 of S6 were included inthe tilt angle calculation, and the values in the open and closed Cryo-EM structures are marked using purple dashed lines. "

      We appreciate the thoughtful suggestion and have revised the caption as suggested.

      (6) Figure S1 - column labels a,b,c, and d should be referenced in the legend.

      The references to column labels have been added to Figure S1 caption.

      (7) References need to be double-checked for duplicates and formatting.

      a) I noticed several duplicate references, but did not do a complete search: Budelli et al 2013 (#68, 100), Horrigan Aldrich 2002 (#22,97), Sun Horrigan 2022 (#40, 86), Jensen et al 2012 (#56,81).

      b) Reference #38 is incorrectly cited with the first name spelled out and the last name abbreviated.

      We appreciate the careful proofreading of the reviewer. The duplicated references were introduced by mistake due to the use of multiple reference libraries. We have gone through the manuscript and removed a total of 5 duplicated references.

      Reviewer #2 (Recommendations for the authors):

      This manuscript has been through a previous level of review. The authors have provided their responses to the previous reviewers, which appear to be satisfactory, and I have no additional comments, beyond the caveats concerning interpretations based on the truncated channel, which are noted above.

      We greatly appreciate the constructive comments and insightful advice. Please see above response to the Reviewing Editor’s comments for response and changes regarding the caveats concerning interpretations of the current simulations.

    1. Reviewer #2 (Public review):

      This study aims to elucidate the role of fibroblasts in regulating myocardium and vascular development through signaling to cardiomyocytes and endothelial cells. This focus is significant, given that fibroblasts, cardiomyocytes, and vascular endothelial cells are the three primary cell types in the heart. The authors employed a Pdgfra-CreER-controlled diphtheria toxin A (DTA) system to ablate fibroblasts at various embryonic and postnatal stages, characterizing the resulting cardiac defects, particularly in myocardium and vasculature development. Single-cell RNA sequencing (scRNA-seq) analysis of the ablated hearts identified collagen as a crucial signaling molecule from fibroblasts that influences the development of cardiomyocytes and vascular endothelial cells.

      This is an interesting manuscript; however, there are several major issues, including an over-reliance on the scRNA-seq data, which shows inconsistencies between replicates.

      Some of the major issues are described below.

      (1) The CD31 immunostaining data (Figure 3B-G) indicate a reduction in endothelial cell numbers following fibroblast deletion using PdgfraCreER+/-; RosaDTA+/- mice. However, the scRNA-seq data show no percentage change in the endothelial cell population (Figure 4D). Furthermore, while the percentage of Vas_ECs decreased in ablated samples at E16.5, the results at E18.5 were inconsistent, showing an increase in one replicate and a decrease in another, raising concerns about the reliability of the RNA-seq findings.

      (2) Similarly, while the percentage of Ven_CMs increased at E18.5, it exhibited differing trends at E16.5 (Fig. 4E), further highlighting the inconsistency of the scRNA-seq analysis with the other data.

      (3) Furthermore, the authors noted that the ablated samples had slightly higher percentages of cardiomyocytes in the G1 phase compared to controls (Fig. 4H, S11D), which aligns with the enrichment of pathways related to heart development, sarcomere organization, heart tube morphogenesis, and cell proliferation. However, it is unclear how this correlates with heart development, given that the hearts of ablated mice are significantly smaller than those of controls (Figure 3E). Additionally, the heart sections from ablated samples used for CD31/DAPI staining in Figure 3F appear much larger than those of the controls, raising further inconsistencies in the manuscript.

      (4) The manuscript relies heavily on the scRNA-seq dataset, which shows inconsistencies between the two replicates. Furthermore, the morphological and histological analyses do not align with the scRNA-seq findings.

      (5) There is a lack of mechanistic insight into how collagen, as a key signaling molecule from fibroblasts, affects the development of cardiomyocytes and vascular endothelial cells.

      (6) In Figure 1B, Col1a1 expression is observed in the epicardial cells (Figure 1A, E11.5), but this is not represented in the accompanying cartoon.

      (7) Do the PdgfraCreER+/-; RosaDTA+/- mice survive after birth when induced at E15.5, and do they exhibit any cardiac defects?

      Comments on Revised Version (from BRE):

      The manuscript has greatly improved following the revision, and I have no additional comments to offer.

    2. Reviewer #3 (Public review):

      Summary:

      The authors investigated fibroblasts' communication with key cell types in developing and neonatal hearts, with focus on critical roles of fibroblast-cardiomyocyte and fibroblast-endothelial cells network in cardiac morphogenesis. They tried to map the spatial distribution of these cell types and reported the major pathways and signaling molecules driving the communication. They also used Cre-DTA system to ablate Pdgfra labeled cells and observed myocardial and endothelial cell defects at development. They screened the pathways and genes using sequencing data of ablated heart. Lastly they reported a compensatory collagen expression in long term ablated neonate heart. Overall, this study provides us with important insight on fibroblasts' roles in cardiac development and will be a powerful resource for collagens and ECM focused research.

      Strengths:

      The authors utilized good analyzing tools to investigate on multiple database of single cell sequencing and Multi-seq. They identified significant pathways, cellular and molecular interactions of fibroblasts. Additionally, they compared some of their analytic findings with human database, and identified several groups of ECM genes with varying roles in mice.

      Weaknesses:

      This study is majorly based on sequencing data analysis. At the bench, they used very strident technique to study fibroblast functions by ablating one of the major cell population of heart. Also, experimental validation of their analyzed downstream pathways will be required eventually.

      Comments on Revised Version (from BRE):

      The authors did a good job addressing the questions asked at first review. However, I have some minor concerns.

      (1) The paper notes that collagen signaling is observed in FB-VasEC in humans, but not in FB-VenCM, unlike mice. Did the authors analyze predictive ligand receptor interaction as they did with control and ablated mice heart? This could add valuable new insights that how FB regulate ventricular CM in human heart.

      (2) The authors provided data on Defect in CD31 expression in several models. Did they observe any other phenotypes associated with defective endothelial or vascular system? Such as, blood accumulation in pericardium, larger/smaller capillaries? Did they also examine percentage of Cdh5+ cells?

      (3) Please mention the sample age of Figure 2A-C.

      (4) Please follow the same style to describe X axis in graphs in Figure 3D (and all similar graphs in the manuscript) as followed in 3G.

      (5) It is important to provide echocardiographic M mode images with a comparable number of cardiac cycles in control and ablated (Fig. 6H).

      (6) In the long-term neonatal ablation experiments, collagen expressions return to normal. The manuscript attributes this to possible "compensatory expression," Do they have any thoughts how this is regulated? Are other cell types stepping in, or are surviving FBs proliferating?

      (7) While collagen is shown to be a dominant signaling molecule, its centrality is inferred primarily from scRNA-seq and ligand-receptor predictions. Did authors try any functional rescue experiment (e.g., exogenous collagen supplementation or receptor blockade) to directly validate this pathway's role in vivo?

    3. Author response:

      The following is the authors’ response to the previous reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The study by Deng et al reports single cell expression analysis of developing mouse hearts and examines the requirements for cardiac fibroblasts in heart maturation. The work includes extensive gene expression profiling and bioinformatic analysis. The prenatal fibroblast ablation studies show new information on the requirement of these cells on heart maturation before birth.

      The strengths of the manuscript are the new single cell datasets and comprehensive approach to ablating cardiac fibroblasts in pre and postnatal development in mice. Extensive data are presented on mouse embryo fibroblast diversity and morphology in response to fibroblast ablation. Histological data support localization of major cardiac cell types and effects of fibroblast ablation on cardiac gene expression at different times of development.

      A weakness of the study is that the major conclusions regarding collagen signaling and heart maturation are based on gene expression patterns and are not functionally validated.

      Reviewer #2 (Public review):

      This study aims to elucidate the role of fibroblasts in regulating myocardium and vascular development through signaling to cardiomyocytes and endothelial cells. This focus is significant, given that fibroblasts, cardiomyocytes, and vascular endothelial cells are the three primary cell types in the heart. The authors employed a Pdgfra-CreER-controlled diphtheria toxin A (DTA) system to ablate fibroblasts at various embryonic and postnatal stages, characterizing the resulting cardiac defects, particularly in myocardium and vasculature development. Single-cell RNA sequencing (scRNA-seq) analysis of the ablated hearts identified collagen as a crucial signaling molecule from fibroblasts that influences the development of cardiomyocytes and vascular endothelial cells.

      This is an interesting manuscript; however, there are several major issues, including an over-reliance on the scRNA-seq data, which shows inconsistencies between replicates.

      We thank the reviewer for carefully reading our revised manuscript. All of the questions listed below were raised in the previous round and have been addressed in the current revision. As noted in the “Recommendations for the Authors” section, the reviewer has no additional comments at this time.

      Some of the major issues are described below.

      (1) The CD31 immunostaining data (Figure 3B-G) indicate a reduction in endothelial cell numbers following fibroblast deletion using PdgfraCreER+/-; RosaDTA+/- mice. However, the scRNA-seq data show no percentage change in the endothelial cell population (Figure 4D). Furthermore, while the percentage of Vas_ECs decreased in ablated samples at E16.5, the results at E18.5 were inconsistent, showing an increase in one replicate and a decrease in another, raising concerns about the reliability of the RNA-seq findings.

      (2) Similarly, while the percentage of Ven_CMs increased at E18.5, it exhibited differing trends at E16.5 (Fig. 4E), further highlighting the inconsistency of the scRNA-seq analysis with the other data.

      (3) Furthermore, the authors noted that the ablated samples had slightly higher percentages of cardiomyocytes in the G1 phase compared to controls (Fig. 4H, S11D), which aligns with the enrichment of pathways related to heart development, sarcomere organization, heart tube morphogenesis, and cell proliferation. However, it is unclear how this correlates with heart development, given that the hearts of ablated mice are significantly smaller than those of controls (Figure 3E). Additionally, the heart sections from ablated samples used for CD31/DAPI staining in Figure 3F appear much larger than those of the controls, raising further inconsistencies in the manuscript.

      (4) The manuscript relies heavily on the scRNA-seq dataset, which shows inconsistencies between the two replicates. Furthermore, the morphological and histological analyses do not align with the scRNA-seq findings.

      (5) There is a lack of mechanistic insight into how collagen, as a key signaling molecule from fibroblasts, affects the development of cardiomyocytes and vascular endothelial cells.

      (6) In Figure 1B, Col1a1 expression is observed in the epicardial cells (Figure 1A, E11.5), but this is not represented in the accompanying cartoon.

      (7) Do the PdgfraCreER+/-; RosaDTA+/- mice survive after birth when induced at E15.5, and do they exhibit any cardiac defects?

      Reviewer #3 (Public review):

      Summary:

      The authors investigated fibroblasts' communication with key cell types in developing and neonatal hearts, with focus on critical roles of fibroblast-cardiomyocyte and fibroblast-endothelial cells network in cardiac morphogenesis. They tried to map the spatial distribution of these cell types and reported the major pathways and signaling molecules driving the communication. They also used Cre-DTA system to ablate Pdgfra labeled cells and observed myocardial and endothelial cell defects at development. They screened the pathways and genes using sequencing data of ablated heart. Lastly they reported a compensatory collagen expression in long term ablated neonate heart. Overall, this study provides us with important insight on fibroblasts' roles in cardiac development and will be a powerful resource for collagens and ECM focused research.

      Strengths:

      The authors utilized good analyzing tools to investigate on multiple database of single cell sequencing and Multi-seq. They identified significant pathways, cellular and molecular interactions of fibroblasts. Additionally, they compared some of their analytic findings with human database, and identified several groups of ECM genes with varying roles in mice.

      Weaknesses:

      This study is majorly based on sequencing data analysis. At the bench, they used very strident technique to study fibroblast functions by ablating one of the major cell population of heart. Also, experimental validation of their analyzed downstream pathways will be required eventually.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      Most of my comments have been adequately addressed. Additional comments on new data in the revised manuscript are below.

      (1) In the new figure S11, it is not really possible to draw major conclusions on mitral valve morphology and maturation since the planes of sections to not seem comparable. Observations regarding attachment to the papillary muscle might be dependent on the particular section being evaluated. However, it is useful to see that the valves are not severely affected in the ablated animals.

      We appreciate the reviewer’s comment and agree with the reviewer’s observation. Accordingly, we have updated the manuscript by removing the original conclusion-related statement and instead highlighting that the valves were not severely affected in the ablated animals (page 6).

      (2) In the last supplemental figure S19, it is not possible to determine if results are or are not statistically significant for n=2 as shown for FS and EF for the ablated animals and controls. The text says that there is a trend of improved heart function, but evaluation of additional animals is needed to support this conclusion.

      We thank the reviewer for the comment and agree that a sample size of n = 2 is too small to draw meaningful conclusions. As previously suggested by the reviewer, we have removed this result from the manuscript (page 10).

      Reviewer #2 (Recommendations for the authors):

      The manuscript has greatly improved following the revision, and I have no additional comments to offer.

      Thanks!

      Reviewer #3 (Recommendations for the authors):

      Authors did a good job addressing questions asked at first review. However, I have some minor concerns.

      (1) The paper notes that collagen signaling is observed in FB-VasEC in humans, but not in FB-VenCM, unlike mice. Did authors analyze predictive ligand receptor interaction as they did with control and ablated mice heart? This could add valuable new insights that how FB regulate ventricular CM in human heart.

      Thank you. We have analyzed the predicted ligand-receptor interactions between Fb and Ven_CM, as well as between Fb and Vas_EC, using human scRNA-seq data. The results are provided as a supplemental figure (Fig. S8C).

      (2) The authors provided data on Defect in CD31 expression in several models. Did they observed any other phenotypes associated with defective endothelial or vascular system? Such as, blood accumulation in pericardium, larger/smaller capillaries? Did they also examined percentage of Cdh5+ cells?

      We thank the reviewer for the questions. We did not observe clear evidence of blood accumulation in the pericardium of the ablated hearts, as shown in figure 3B, 3E, 6B, and 6F. Additionally, we did not perform Cdh5 staining in either the control or ablated hearts.

      (3) Please mention the sample age of Figure 2A-C.

      These are single-cell mRNA sequencing data from CD1 mice across 18 developmental stages, ranging from E9.5 to P9. We have added this information to the manuscript (page 4).

      (4) Please follow the same style to describe X axis in graphs in Figure 3D (and all similar graphs in manuscript) as followed in 3G.

      Thank you. We assume the reviewer was referring to the descriptions in the relevant figure legends. We have updated the legend for Figure 3D to ensure consistency with the description provided for Figure 3G (page 15).

      (5) It is important to provide echocardiographic M mode images with a comparable number of cardiac cycles in control and ablated (Fig. 6H).

      We thank the reviewer for the comment. As explained in our previous response, the echocardiographic data for both control and mutant mice were collected in conscious animals. The differences in their cardiac cycles reflect variations in heart rate, which represent a disease phenotype and cannot be altered. Therefore, we are unable to provide M-mode images with a similar number of cardiac cycles for control and ablated mice.

      (6) In the long-term neonatal ablation experiments, collagen expressions return to normal. The manuscript attributes this to possible "compensatory expression," Do they have any thoughts how this is regulated? Are other cell types stepping in, or are surviving FBs proliferating?

      We thank the reviewer for the question. As suggested, the compensatory collagen expression could be driven by surviving fibroblasts or other cell types. Since we currently lack evidence to exclude either possibility, we believe both could be contributing factors.

      (7) While collagen is shown to be a dominant signaling molecule, its centrality is inferred primarily from scRNAseq and ligand-receptor predictions. Did authors try any functional rescue experiment (e.g., exogenous collagen supplementation or receptor blockade) to directly validate this pathway's role in vivo?

      We thank the reviewer for the comment. As noted in our previous revision in response to similar questions from the other two reviewers, we agree that these rescue experiments are of interest but are beyond the scope of the current study. We plan to pursue these investigations in future work and share our findings when available.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The manuscript "Rho-ROCK liberates sequestered claudin for rapid de novo tight junction formation" by Cho and colleagues investigates de novo tight junction formation during the differentiation of immortalized human HaCaT keratinocytes to granular-like cells, as well as during epithelial remodeling that occurs upon the apoptotic of individual cells in confluent monolayers of the representative epithelial cell line EpH4. The authors demonstrate the involvement of Rho-ROCK with well-conducted experiments and convincing images. Moreover, they unravel the underlying molecular mechanism, with Rho-ROCK activity activating the transmembrane serine protease Matriptase, which in turn leads to the cleavage of EpCAM and TROP2, respectively, releasing Claudins from EpCAM/TROP2/Claudin complexes at the cell membrane to become available for polymerization and de novo tight junction formation. These functional studies in the two different cell culture systems are complemented by localization studies of the according proteins in the stratified mouse epidermis in vivo.

      In total, these are new and very intriguing and interesting findings that add important new insights into the molecular mechanisms of tight junction formation, identifying Matriptase as the "missing link" in the cascade of formerly described regulators. The involvement of TROP2/EpCAM/Claudin has been reported recently (Szabo et al., Biol. Open 2022; Bugge lab), and Matriptase had been formerly described to be required for in tight junction formation as well, again from the Bugge lab. Yet, the functional correlation/epistasis between them, and their relation to Rho signaling, had not been known thus far.

      However, experiments addressing the role of Matriptase require a little more work.

      Strengths:

      Convincing functional studies in two different cell culture systems, complemented by supporting protein localization studies in vivo. The manuscript is clearly written and most data are convincingly demonstrated, with beautiful images and movies.

      Weaknesses:

      The central finding that Rho signaling leads to increased Matriptase activity needs to be more rigorously demonstrated (e.g. western blot specifically detecting the activated version or distinguishing between the full-length/inactive and processed/active version).

      First, we thank the reviewer for their fair evaluation of our manuscript and for providing constructive feedback. Regarding the detection of matriptase activation—which Reviewer 1 identified as a weakness—we fully agree that direct validation is crucial. Therefore, in this revision we have carried out additional experiments using the M69 antibody, which specifically recognizes the activated form of matriptase. Details of these new experiments are provided in our point-by-point responses below.

      Reviewer #2 (Public review):

      Summary:

      In this manuscript, the authors investigate how epithelia maintain intercellular barrier function despite and during cellular rearrangements upon e.g. apoptotic extrusion in simple epithelia or regenerative turnover in stratified epithelia like this epidermis. A fundamental question in epithelial biology. Previous literature has shown that Rho-mediated local regulation of actomyosin is essential not only for cellular rearrangement itself but also for directly controlling tight junction barrier function. The molecular mechanics however remained unclear. Here the authors use extensive fluorescent imaging of fixed and live cells together with genetic and drug-mediated interference to show that Rho activation is required and sufficient to form novo tight junctional strands at intercellular contacts in epidermal keratinocytes (HaCat) and mammary epithelial cells. After having confirmed previous literature they then show that Rho activation activates the transmembrane protease Matriptase which cleaves EpCAM and TROP2, two claudin-binding transmembrane proteins, to release claudins and enable claudin strand formation and therefore tight junction barrier function.

      Strengths:

      The presented mechanism is shown to be relevant for epithelial barriers being conserved in simple and stratifying epithelial cells and mainly differs due to tissue-specific expression of EpCAM and TROP2. The authors present careful state-of-the-art imaging and logical experiments that convincingly support the statements and conclusion. The manuscript is well-written and easy to follow.

      Weaknesses:

      Whereas the in vitro evidence of the presented mechanism is strongly supported by the data, the in vivo confirmation is mostly based on the predicted distribution of TROP2. Whereas the causality of Rho-mediated Matriptase activation has been nicely demonstrated it remains unclear how Rho activates Matriptase.

      Thank you for your valuable feedback on our manuscript. As Reviewer 2 points out, the precise mechanism by which the Rho/ROCK pathway activates matriptase remains unclear. We have discussed the possible molecular mechanisms in the Discussion section. Elucidating the detailed mechanism of matriptase activation will be the focus of our future work.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      Comment 1-1 - Matriptase activation by Rho: The authors show activation of Matriptase in western blots by the simple reduction of (full-length?) protein level in Figures 5 and 7. Most publications however show activated Matriptase either by antibodies detecting specifically the active form (including the publication referenced in this manuscript), or the appearance of the activated form next to the inactive form (based on different molecular weights). Therefore, it is not completely clear whether the treatment with Rho activators (Figure 5) results in an overall decrease of Matriptase, or really in an increase in the activated form. Therefore, the authors should show the actual increase of the active form. As a control, the impact of camostat treatment and overexpression of Hai1 on the active form of Matriptase could be included. It also should be indicated in the figure legend how long cells had been treated with the drugs before being subjected to lysis. Moreover, the western blots need to be quantified.

      We performed a more rigorous analysis using the M69 antibody, which specifically recognizes the activated form of matriptase and has been widely used in previous studies(e.g. Benaud et al., 2001; Hung et al., 2004; Wang et al., 2009). We likewise confirmed a significant increase in M69 signals by both western blotting and immunostaining from samples in which matriptase was activated by acid medium treatment (Figure 5A). Crucially, we also observed matriptase activation with the M69 antibody both in Rho/ROCK activator-treated cells (Figure 5A) and in differentiated granular-layer-like cells (Figures 7A and 7D). These findings strongly support the conclusion that matriptase is activated downstream of the Rho/ROCK pathway.

      Comment 1-2 - Based on their results, the authors conclude that Matriptase cleaves TROP2 in the SG2 layer of the epidermis, which is a little contradictory to former studies, which have shown Matriptase to be most prominently expressed and active in the basal layer and only little in the spinous layer (e.g Chen et al., Matriptase regulates proliferation and early, but not terminal, differentiation of human keratinocytes. J Invest Dermatol.2013). In this light, one could also argue that inhibiting Matriptase "simply" reduces epidermal differentiation. Can other differentiation markers be tested to rule that the effects on tight junctions are secondary consequences of interferences with earlier / more global steps of keratinocyte differentiation?

      As the reviewer noted, previous studies have demonstrated that matriptase is essential for keratinocyte differentiation, and that it cleaves substrates beyond EpCAM and TROP2—any of which could potentially influence the differentiation process. To test this possibility, we chose to monitor maturation of adherens junction (AJ) as an indicator of keratinocyte differentiation into granular-layer cells. Prior work has shown that during differentiation into granular-layer cells, AJs develop and experience increased intercellular mechanical tension, and that this rise in mechanical tension at AJs is critical for subsequent TJ formation (Rübsam et al., 2017). To assess AJ tension, we stained with the α-18 monoclonal antibody, which specifically recognizes the tension-dependent conformational change of α-catenin, a core AJ component. In control cells, differentiation into granular-layer like cells led to a marked increase in α-18 signal at cell–cell adhesion sites. Importantly, when HaCaT cells were treated with Camostat to inhibit matriptase and then induced to differentiate, we observed an equivalent increase in α-18 signal at AJs (Figure 7F). However, we did not detect claudin enrichment at cell-cell contacts under these conditions (Figures 7F and 7H). These results suggest that matriptase inhibition does not impair AJ maturation during granular-layer differentiation, but does profoundly disrupt TJ formation. While we cannot rule out the possibility that matriptase acts more broadly from these results, we judged that a comprehensive substrate survey lies outside the scope of the present manuscript.

      Comment 1-3 - In addition, as in Figure 5, full-length levels of Matriptase in Figure 7A need to be complemented by the active version to demonstrate more convincingly that TROP2 processing coincides with (and is most likely caused by) increased Matriptase activation. In the quantification in 7B, levels actually go up again after 2 and 4 hours. How is that explained, and what would this mean with respect to tight junction formation seen at 24 h of differentiation? The TROP2 cleavage shown in Figure 7A should be quantified.

      This comment is related to Comment 1-1. Using the M69 antibody, which specifically recognizes the activated matriptase, we directly demonstrated that matriptase activation occurs during the differentiation of granular layer-like cells (Figures 7A and 7D). Furthermore, we performed quantitative analysis of TROP2 cleavage and found that, compared with undifferentiated cells, differentiation into granular-layer like cells was accompanied by an increase in the cleaved TROP2 fragments (Figures 7A and 7B).

      Minor points:

      Comment 1-4 - Figure 1B and C: Including orthogonal views would be a nice add-on to appreciate the findings.

      In the revised version, we have added the corresponding orthogonal views to Figure 1B and Figure 1C.

      Comment 1-5 - Figure 2D: last row: indication of orthogonal view.

      We stated that the bottom panels are orthogonal views in the figure legend of Figure 2D.

      Comment 1-6 - Figure 3A: quantification is missing. GST-Rhotekin assay is missing in methods.

      In the revised manuscript, we have added quantitative analysis for Figure 3A. We have also supplemented the Materials and Methods section with detailed information on the GST–Rhotekin assay used to quantify levels of active RhoA.

      Comment 1-7 - Figure 4H: quantification of the Western blot is missing.

      In the revised manuscript, we have added quantitative analysis for Figure 4H as Figure 4I.

      Comment 1-8 - Figure 5 and 6: Quantifications of Western blots are missing.

      In the revised manuscript, we have added quantitative analyses for Figure 5D as Figure 5F and for Figure 6A as Figure 6B.

      Comment 1-9 - Figure 7C: quantification of the Western blot is missing.

      Figure 7C does not present western blotting data. For the other western blotting results, we have added quantitative analyses as suggested by Reviewer 1.

      Comment 1-10 - Figure 8I: Including Hai1 overexpression would be good for a complete picture.

      Following Reviewer 1’s suggestion, we have added staining data for Hai1-overexpressing cells to Figure 8J.

      Comment 1-11 - Line 377: The authors say they found Matriptase always present in lateral membranes. I did not find evidence for this in the manuscript.

      Previous studies have demonstrated that in polarized epithelial cells, matriptase is localized to the basolateral membrane below TJs (Buzza et al., 2010; Wang et al., 2009). We also found that matriptase consistently localizes to the basolateral membrane but more crucially that it becomes activated there during differentiation into granular layer cells. We added these new data as Figures 7C-7E in the revised manuscript. These findings suggest that matriptase activation occurs without a change in its subcellular localization.

      Comment 1-12 - Line 381: should most likely say: and ADAM17 but it is not known whether...

      We corrected the sentence in the revised manuscript.

      Reviewer #2 (Recommendations for the authors):

      The authors have added a significant number of quantifications verifying their observations, which was a major comment in a previous version of the manuscript and thus I have only a few minor comments which should be addressed.

      Comment 2-1 - It is not required to have scale bars in every image of a panel if the same scale is used.

      Unnecessary scale bars were removed. Specifically, scale bars were removed from Figure 1B, 1C, 1F, 8F, 8G, and 8H.

      Comment 2-2 - Throughout all figures: Please state for non-quantified images whether this is a representative example and for how many technical or biological repeats this is representative. Also for "N" number, state what the N stands for and if this is what the dots in the graph represent. Are these the number of junctions or technical, experimental or biological repeats?

      In the revised manuscript, we have added the number of independent experiments and corresponding “N” values to the Quantification and Statistical Analysis subsection of the Materials and Methods.

      Comment 2-3 - Some Zooms have a scale bar (6d), and some do not (e.g. 5b).

      The scale bar was removed from the magnified image in Figure 6D.

    1. Reviewer #3 (Public review):

      Summary:

      The authors investigated the assembly and polar localization of the chemosensory cluster in P. aeruginosa. They discovered that a certain protein (FlhF) is required for the polar localization of the chemosensory cluster while a fully-assembled motor is necessary for the assembly of the cluster. They found that flagella and chemosensory clusters always co-localize in the cell; either at the cell pole in wild type cells or randomly-located in the cell in FlhF mutant cells. They hypothesize that this co-localization is required to keep the level of another protein (CheY-P), which controls motor switching, at low levels as the presence of high-levels of this protein (if the flagella and chemosensory clusters were not co-localized) is associated with high-levels of c-di-GMP and cell aggregations.

      Strengths:

      The manuscript is clearly written and straightforward. The authors applied multiple techniques to study the bacterial motility system including fluorescence light microscopy and gene editing. In general, the work enhances our understanding of the subtlety of interaction between the chemosensory cluster and the flagellar motor to regulate cell motility.

      Weaknesses:

      The major weakness for me in this paper is that the authors never discussed how the flagellar genes expression is controlled in P. aeruginosa. For example, in E. coli there is a transcriptional hierarchy for the flagellar genes (early, middle, and late genes, see Chilcott and Hughes, 2000). Similarly, Campylobacter and Helicobacter have a different regulatory cascade for their flagellar genes (See Lertsethtakarn, Ottemann, and Hendrixson, 2011). How does the expression of flagellar genes in P. aeruginosa compare to other species? how many classes are there for these genes? is there a hierarchy in their expression and how does this affect the results of the FliF and FliG mutants? In other words, if FliF and FliG are in class I (as in E. coli) then their absence might affect the expression of other later flagellar genes in subsequent classes (i.e., chemosensory genes). Also, in both FliF and FliG mutants no assembly intermediates of the flagellar motor are present in the cell as FliG is required for the assembly of FliF (see Hiroyuki Terashima et al. 2020, Kaplan et al. 2019, Kaplan et al. 2022). It could be argued that when the motor is not assembled then this will affect the expression of the other genes (e.g., those of the chemosensory cluster) which might play a role in the decreased level of chemosensory clusters the authors find in these mutants.

      Comments on revisions:

      I believe the authors have performed additional experiments that improved their manuscript and they have answered many of my comments and those of the other reviewers. I am supportive of publishing this manuscript, but I still find the following points that are not clear to me (probably I am misunderstanding some points; the authors can clarify).

      (1) In response to reviewer 1, the authors say that they "analyzed and categorized the distribution of the chemotaxis complex in both wild-type and flhF mutant strains into three patterns: precise-polar, near-polar, and mid-cell localization." I can see what they mean by polar and mid-cell, but near-polar sounds a bit elusive? Can they provide examples of this stage and mention how accurately they can identify it? Also, do the pie charts they show in Figure S4 really show "significant alterations"? There is a difference between 98% and 85% as they mention in their response to reviewer 1, but I am not sure that this is significant? Probably they can explain/change the language in the text? Also, the number of cells they counted for FlhF mutant is more than the double of other strains (WT and FlhF FliF mutant)?

      (2) One thing that also confused me is the following: One point that the authors stress is that FlhF localizes both the flagellum and the chemoreceptors to the pole. However, if I look at Figure 2B, the flagellum and the chemoreceptors still co-localize together (although not at the pole). If FlhF was responsible for co-localizing both of them to the pole, then wouldn't one expect them to be randomly localized in this mutant and by that I mean that they do not co-localize but that each of them (the flagellum and the chemoreceptors) are located in a different random location of the cell (not co-localized). The fact that they are still co-localized together in this mutant could also be interpreted by, for example, that FlhF localizes the flagellum to the pole and another mechanism localizes the chemoreceptors to the flagellum, hence, they still co-localize in this mutant because the chemoreceptors follow the flagellum by another mechanism to wherever it goes?

      (3) In the response to reviewers, the authors mention "suggesting that the assembly of the receptor complex is likely influenced mainly by the C-ring and MS-ring structures rather than by the P ring" . However, in the article, they still write "The complete assembly of the motor serves as a partial prerequisite for the assembly of the chemotaxis complex, and its assembly site is also regulated by the polar anchor protein FlhF" despite their FlgI results which is not in accordance with this statement? Also, As I mentioned in my previous report, in FliG and FliF mutant the motor does not assemble (see Hiroyuki Terashima et al. 2020., and Kaplan et al., 2022).

      (4) The authors have said in their response to my point "and currently, there is no evidence that FliA activity is influenced by proteins like FliG". I just want to clarify what I meant in my previous report: In E. coli, FliA binds to FlgM, and when the hook is assembled FlgM is secreted outside the cell allowing FliA to trigger the transcription of class III genes, which include the chemosensory genes (see Figure 5 in Beeby et al, 2020 in FEMS Microbiology, and Chilcott and Hughes, 2000). This implies that if the hook is not built, then late genes (including the chemoreceptors) should not be present. However, in Kaplan et al., 2019, the authors imaged a FliF mutant in Shewanella oneidensis (Figure S3) and still saw that chemoreceptors are present (I believe the authors must highlight this). This suggests that species such as Shewanella and Pseudomonas have a different assembly process than that E. coli, and although the authors say that in the text, I believe they still can refine this part more in the spirit of what I wrote here.

      I do not like to ask for additional experiments in the second round of review, so for me if the authors modify the text to tackle these points and allow for probable alternative explanations/ highlight gaps/ modify language used for some claims, then that is fine with me.

    2. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      The study by Wu et al presents interesting data on bacterial cell organization, a field that is progressing now, mainly due to the advances in microscopy. Based mainly on fluorescence microscopy images, the authors aim to demonstrate that the two structures that account for bacterial motility, the chemotaxis complex and the flagella, colocalize to the same pole in Pseudomonas aeruginosa cells and to expose the regulation underlying their spatial organization and functioning.

      Strengths:

      The subject is of importance.

      Weaknesses:

      The conclusions are too strong for the presented data. The lack of statistical analysis makes this paper incomplete. The novelty of the findings is not clear.

      We have strengthened the data analysis by including appropriate statistical tests to support our conclusions more convincingly. Additionally, we have refined the description of the research background to better emphasize the novelty and significance of our findings. Please see the detailed responses below for further information.

      Major issues:

      (1) The novelty is in question since in the Abstract the authors highlight their main finding, which is that both the chemotaxis complex and the flagella localize to the same pole, as surprising. However, in the Introduction they state that "pathway-related receptors that mediate chemotaxis, as well as the flagellum are localized at the same cell pole17,18". I am not a pseudomonas researcher and from my short glance at these references, I could not tell whether they report colocalization of the two structures to the same pole. However, I trust the authors that they know the literature on the localization of the chemotaxis complex and flagella in their organism. See also major issue number 5 on the novelty regarding the involvement of c-di-GMP.

      We thank the reviewer for this valuable comment and appreciate the opportunity to clarify our statements.

      Kazunobu et al. (ref. 18) used scanning electron microscopy to preliminarily characterize the flagellation pattern of Pseudomonas aeruginosa during cell division, showing that existing flagella are located at the old pole. Zehra et al. (ref. 17), through fluorescence microscopy, observed that CheA and CheY proteins in dividing cells are typically also present at the old pole. Based on these observations, we inferred in the Introduction that the chemotaxis complex and flagellum may localize to the same cell pole.

      However, this inference is indirect and lacks direct live-cell evidence of colocalization, leaving its validity to be confirmed. This uncertainty was indeed the starting point and motivation for our study.

      In our work, we simultaneously visualized flagellar filaments and core chemoreceptor proteins at the single-cell level in P. aeruginosa. We characterized the assembly and spatial coordination of the chemotaxis network and flagellar motor throughout the cell cycle, providing direct evidence of their colocalization and coordinated assembly. This represents a significant advance beyond prior indirect observations and supports the novelty of our study.

      Accordingly, we have revised the relevant statements in lines 71-75 of the manuscript to better reflect the current state of the literature and emphasize the novelty of our direct observations.

      (2) Statistics for the microscopy images, on which most conclusions in this manuscript are based, are completely missing. Given that most micrographs present one or very few cells, together with the fact that almost all conclusions depend on whether certain macromolecules are at one or two poles and whether different complexes are in the same pole, proper statistics, based on hundreds of cells in several fields, are absolutely required. Without this information, the results are anecdotal and do not support the conclusions. Due to the importance of statistics for this manuscript, strict statistical tests should be used and reported. Moreover, representative large fields with many cells should be added as supportive information.

      We thank the reviewer for this important comment, which significantly improves the rigor and persuasiveness of our manuscript.

      For the colocalization analyses presented in Fig. 1D and Fig. 2B, we quantified 145 and 101 cells with fluorescently labeled flagella, respectively, and observed consistent colocalization of the chemoreceptor complexes and flagella in all examined cells (now added in the figure legends). Regarding the distribution patterns of chemoreceptors shown in Fig. 3A, we have now included comprehensive statistical analyses for both wild-type and mutant strains. For each strain, more than 300 cells were analyzed across at least three independent microscopic fields, providing robust statistical power (detailed data are presented in Fig. 3C).

      To further strengthen the evidence, statistical tests were applied to confirm the significance and reproducibility of our findings (Fig. 3C). In addition, representative large-field fluorescence images containing numerous cells have been added to the supplementary materials (Fig. S1 and Fig. S3).

      The problem is more pronounced when the authors make strong statements, as in lines 157-158: "The results revealed that the chemoreceptor arrays no longer grow robustly at the cell pole (Figure 2A)". Looking at the seven cells shown in Figure 2A, five of them show polar localization of the chemoreceptors. The question is then: what is the percentage of cells that show precise polar, near-polar, or mid cell localization (the three patterns shown here) in the mutant and in the wild type? Since I know that these three patterns can also be observed in WT cells, what counts is the difference, and whether it is statistically significant.

      We thank the reviewer for raising this important point. Following the reviewer's suggestion, we have now analyzed and categorized the distribution of the chemotaxis complex in both wild-type and flhF mutant strains into three patterns: precise-polar, near-polar, and mid-cell localization. For each strain, more than 200 cells across three independent fields of view were quantified.

      Our statistical analysis shows that in the wild-type strain, approximately 98% of cells exhibit precise polar localization of the chemotaxis complex. In contrast, the ΔflhF mutant displays a clear shift in distribution, with about 5% of cells showing mid-cell localization and 9.5% showing near-polar localization. These differences demonstrate a significant alteration in the spatial pattern upon flhF deletion.

      We have revised the relevant text in lines 166-170 accordingly and included the detailed statistical data in the newly added Fig. S4.

      Even for the graphs shown in Figures 3C and 3D, where the proportion of cells with obvious chemoreceptor arrays and absolute fluorescence brightness of the chemosensory array are shown, respectively, the questions that arise are: for how many individual cells these values hold and what is the significance of the difference between each two strains?

      The number of cells analyzed for each strain is indicated in the original manuscript: 372 wild-type cells (line 123), 221 ΔflhF cells (line 172), 234 ΔfliG cells (line 197), 323 ΔfliF cells (line 200), 672 ΔflhFΔfliF cells (line 202), and 242 ΔmotAΔmotCD cells (line 207). For each strain, data were collected from three independent fields of view. We have now also provided the number of cells in Fig. 3 legend.

      We have now performed statistical comparisons using t-tests between strains. Notably, the measured values in Fig. 3C exhibit a clear, monotonic decrease with successive gene knockouts, supporting the robustness of the observed trend.

      Regarding the absolute fluorescence intensity shown in the original Fig. 3D, the mutants did not display consistent directional changes compared to the wild type. Reliable comparison of absolute fluorescence intensity requires consistent fluorescent protein maturation levels across strains. Given the likely variability in maturation levels between strains, we concluded that this data may not accurately reflect true differences in protein concentrations. Therefore, we have removed the fluorescence intensity graph from the revised manuscript to avoid potential misinterpretation.

      (3) The authors conclude that "Motor structural integrity is a prerequisite for chemoreceptor self-assembly" based on the reduction in cells with chemoreceptor clusters in mutants deleted for flagellar genes, despite the proper polar localization of the chemotaxis protein CheY. They show that the level of CheY in the WT and the mutant strains is similar, based on Western blot, which in my opinion is over-exposed. "To ascertain whether it is motor integrity rather than functionality that influences the efficiency of chemosensory array assembly", they constructed a mutant deleted for the flagella stator and found that the motor is stalled while CheY behaves like in WT cells. The authors further "quantified the proportion of cells with receptor clusters and the absolute fluorescence intensity of individual clusters (Figures 3C-D)". While Figure 3DC suggests that, indeed, the flagella mutants show fewer cells with a chemotaxis complex, Figure 3D suggests that the differences in fluorescence intensity are not statistically significant. Since it is obvious that the regulation of both structures' production and localization is codependent, I think that it takes more than a Western blot to make such a decision.

      We thank the reviewer for the suggestions. To further clarify that the assembly of flagellar motors and chemoreceptor clusters occurs in an orderly manner rather than being merely codependent, we performed additional experiments. Specifically, we constructed a ΔcheA mutant strain, in which chemoreceptor clusters fail to assemble. Using in vivo fluorescent labeling of flagellar filaments, we observed that the proportion of cells with flagellar filaments in the ΔcheA strain was comparable to that of the wild type (Fig. S5).

      In contrast, mutants lacking complete motor structures, such as ΔfliF and ΔfliG, showed a significant reduction in the proportion of cells with obvious receptor clusters (Fig. 3C). Based on these results, we conclude that the structural integrity of the flagellar motor is, to a certain extent, a prerequisite for the self-assembly of chemoreceptor clusters.

      Accordingly, we have revised the relevant statement in lines 213-217 of the manuscript to reflect this clarification.

      (4) I wonder why the authors chose to label CheY, which is the only component of the chemotaxis complex that shuttles back and forth to the base of the flagella. In any case, I think that they should strengthen their results by repeating some key experiments with labeled CheW or CheA.

      We thank the reviewer for this valuable suggestion. In our study, we initially focused on the positional relationship between chemoreceptor clusters and flagella, then investigated factors influencing cluster distribution and assembly efficiency. The physiological significance of motor and cluster co-localization was ultimately proposed with CheY as the starting point.

      Previous work by Harwood's group demonstrated that both CheY-YFP and CheA-GFP localize to the old poles of dividing Pseudomonas aeruginosa cells. Since our physiological hypothesis centers on CheY, we chose to label CheY-EYFP in our experiments.

      To further strengthen our conclusions, we constructed a plasmid expressing CheA-CFP and introduced it into the cheY-eyfp strain via electroporation. Fluorescence imaging revealed a high degree of spatial overlap between CheA-CFP and CheY-EYFP (Fig. S2), confirming that CheY-EYFP accurately marks the location of the chemoreceptor complex.

      We have revised the manuscript accordingly (lines 119-123) and added these data as Fig. S2.

      (5) The last section of the results is very problematic, regarding the rationale, the conclusions, and the novelty. As far as the rationale is concerned, I do not understand why the authors assume that "a spatial separation between the chemoreceptors and flagellar motors should not significantly impact the temporal comparison in bacterial chemotaxis". Is there any proof for that?

      We apologize for the lack of clarity in our original explanation. The rationale behind the statement was initially supported by comparing the timescales of CheY-P diffusion and temporal comparison in chemotaxis. Specifically, the diffusion time for CheY-P to traverse the entire length of a bacterial cell is approximately 100 ms (refs 39&40), whereas the timescale for bacterial chemotaxis temporal comparison is on the order of seconds (ref 41).

      To clarify and strengthen this argument, we have expanded the discussion as follows:

      The diffusion coefficient of CheY in bacterial cells is about 10 µm2/s, which corresponds to an estimated end-to-end diffusion time on the order of 100 ms (refs 40&41). If the chemotaxis complexes were randomly distributed rather than localized, diffusion times would be even shorter. In contrast, the timescale for the chemotaxis temporal comparison is on the order of seconds (ref. 42). Additionally, a study by Fukuoka and colleagues reported that intracellular chemotaxis signal transduction requires approximately 240 ms beyond CheY or CheY-P diffusion time (ref. 41). Moreover, the intervals of counterclockwise (CCW) and clockwise (CW) rotation of the P. aeruginosa flagellar motor under normal conditions are 1-2 seconds, as determined by tethered cell or bead assays (refs. 30&43).

      Taken together, these indicate that for P. aeruginosa, which moves via a run-reverse mode, the potential 100 ms reduction in response time due to co-localization of the chemotaxis complex and motor has a limited effect on overall chemotaxis timing.

      We have revised the corresponding text accordingly (lines 238-245) to better explain this rationale.

      More surprising for me was to read that "The signal transduction pathways in E. coli are relatively simple, and the chemotaxis response regulator CheY-P affects only the regulation of motor switching". There are degrees of complexity among signal transduction pathways in E. coli, but the chemotaxis seems to be ranked at the top. CheY is part of the adaptation. Perfect adaptation, as many other issues related to the chemotaxis pathway, which include the wide dynamic range, the robustness, the sensitivity, and the signal amplification (gain), are still largely unexplained. Hence, such assumptions are not justified.

      We apologize for the confusion and imprecision in our original statements. Our intention was to convey that the chemotaxis pathway in E. coli is relatively simple compared to the more complex chemosensory systems in P. aeruginosa. We did not mean to generalize this simplicity to all signal transduction pathways in E. coli.

      We acknowledge that E. coli chemotaxis is a highly sophisticated system, involving processes such as perfect adaptation, wide dynamic range, robustness, sensitivity, and signal amplification, many aspects of which remain incompletely understood. CheY indeed plays a crucial role in adaptation and motor switching regulation.

      Accordingly, we have revised the original text (lines 249-255) to avoid any misunderstanding.

      More perplexing is the novelty of the authors' documentation of the effect of the chemotaxis proteins on the c-di-GMP level. In 2013, Kulasekara et al. published a paper in eLife entitled "c-di-GMP heterogeneity is generated by the chemotaxis machinery to regulate flagellar motility". In the same year, Kulasekara published a paper entitled "Insight into a Mechanism Generating Cyclic di-GMP Heterogeneity in Pseudomonas aeruginosa". The authors did not cite these works and I wonder why.

      We apologize for having been unaware of these important references and thank the reviewer for bringing them to our attention. We have now cited the eLife paper and the PhD thesis titled "Insight into a Mechanism Generating Cyclic di-GMP Heterogeneity in Pseudomonas aeruginosa" by Kulasekara et al.

      Regarding novelty, there are key differences between our findings and those reported by Kulasekara et al. While they proposed that CheA influences c-di-GMP heterogeneity through interaction with a specific phosphodiesterase (PDE), our results demonstrate that overexpression of CheY leads to an increase in intracellular c-di-GMP levels.

      We have revised the original text accordingly (lines 358-362) to clarify these distinctions.

      (6) Throughout the manuscript, the authors refer to foci of fluorescent CheY as "chemoreceptor arrays". If anything, these foci signify the chemotaxis complex, not the membrane-traversing chemoreceptors.

      We thank the reviewer for this clarification. We have revised the manuscript accordingly to refer to the fluorescent CheY foci as representing the chemotaxis complex rather than the chemoreceptor arrays.

      Conclusions:

      The manuscript addresses an interesting subject and contains interesting, but incomplete, data.

      Reviewer #2 (Public Review):

      Summary:

      Here, the authors studied the molecular mechanisms by which the chemoreceptor cluster and flagella motor of Pseudomonas aeruginosa (PA) are spatially organized in the cell. They argue that FlhF is involved in localizing the receptors-motor to the cell pole, and even without FlhF, the two are colocalized. FlhF is known to cause the motor to localize to the pole in a different bacterial species, Vibrio cholera, but it is not involved in receptor localization in that bacterium. Finally, the authors argue that the functional reason for this colocalization is to insulate chemotactic signaling from other signaling pathways, such as cyclic-di-GMP signaling.

      Strengths:

      The experiments and data look to be high-quality.

      Weaknesses:

      However, the interpretations and conclusions drawn from the experimental observations are not fully justified in my opinion.

      I see two main issues with the evidence provided for the authors' claims.

      (1) Assumptions about receptor localization:

      The authors rely on YFP-tagged CheY to identify the location of the receptor cluster, but CheY is a diffusible cytoplasmic protein. In E. coli, CheY has been shown to localize at the receptor cluster, but the evidence for this in PA is less strong. The authors refer to a paper by Guvener et al 2006, which showed that CheY localizes to a cell pole, and CheA (a receptor cluster protein) also localizes to a pole, but my understanding is that colocalization of CheY and CheA was not shown. My concern is that CheY could instead localize to the motor in PA, say by binding FliM. This "null model" would explain the authors' observations, without colocalization of the receptors and motor. Verifying that CheY and CheA are colocalized in PA would be a very helpful experiment to address this weakness.

      We thank the reviewer for this valuable suggestion. We agree that verifying the colocalization of CheY and CheA would strengthen our conclusions. To address this, we constructed a plasmid expressing CheA-CFP and introduced it into the CheY-EYFP strain by electroporation. Fluorescence imaging revealed a high degree of spatial overlap between CheA-CFP and CheY-EYFP signals, indicating that CheY-EYFP indeed marks the location of the chemoreceptor complex rather than the flagellar motor.

      We have revised the manuscript accordingly (lines 118-123) and included these results in the new Fig. S2.

      (2) Argument for the functional importance of receptor-motor colocalization at the pole:

      The authors argue that colocalization of the receptors and motors at the pole is important because it could keep phosphorylated CheY, CheY-p, restricted to a small region of the cell, preventing crosstalk with other signaling pathways. Their evidence for this is that overexpressing CheY leads to higher intracellular cdG levels and cell aggregation. Say that the receptors and motors are colocalized at the pole. In E. coli, CheY-p rapidly diffuses through the cell. What would prevent this from occurring in PA, even with colocalization?

      We appreciate the reviewer's insightful question. The colocalization of both the signaling source (the kinase) and sink (the phosphatase) at the chemoreceptor complex at the cell pole results in a rapid decay of CheY-P concentration within approximately 0.2 µm from the cell pole, leading to a nearly uniform distribution elsewhere in the cell, as demonstrated by Vaknin and Berg (ref. 46). This spatial arrangement effectively confines high CheY-P levels to the pole region. When the motor is also localized at the cell pole, this reduces the need for elevated CheY-P concentrations throughout the cytoplasm, thereby minimizing potential crosstalk with other signaling pathways.

      We have revised the manuscript accordingly (lines 280-286) to clarify this point.

      Elevating CheY concentration may increase the concentration of CheY-p in the cell, but might also stress the cells in other unexpected ways. It is not so clear from this experiment that elevated CheY-p throughout the cell is the reason that they aggregate, or that this outcome is avoided by colocalizing the receptors and motor at the same pole. If localization of the receptor array and motor at one pole were important for keeping CheY-p levels low at the opposite pole, then we should expect cells in which the receptors and motor are not at the pole to have higher CheY-p at the opposite pole. According to the authors' argument, it seems like this should cause elevated cdG levels and aggregation in the delta flhF mutants with wild-type levels of CheY. But it does not look like this happened. Instead of varying CheY expression, the authors could test their hypothesis that receptor-motor colocalization at the pole is important for preventing crosstalk by measuring cdG levels in the flhF mutant, in which the motor (and maybe the receptor cluster) are no longer localized in the cell pole.

      We thank the reviewer for raising the important point regarding potential cellular stress caused by elevated CheY concentrations, as well as for the suggestion to test the hypothesis using ΔflhF mutants.

      First, as noted above, CheY-P concentration rapidly decreases away from the receptor complex. While deletion of flhF alters the position of the receptor complex, thereby shifting the region of high CheY-P concentration, it does not increase CheY-P levels elsewhere in the cell. Importantly, in the ΔflhF strain, the receptor complex and the motor still colocalize, so this mutant may not effectively test the role of receptor-motor colocalization in preventing crosstalk as suggested.

      Regarding the possibility that elevated CheY levels stress the cells independently of CheY-P signaling, prior work in <i.E. coli by Cluzel et al. (ref. 11) showed that overexpressing CheY several-fold did not cause phenotypic changes, indicating that simple CheY overexpression alone may not be generally stressful. Furthermore, our data indicate that the increase in c-di-GMP levels and subsequent cell aggregation upon CheY overexpression is not an all-or-none switch but occurs progressively as CheY concentration rises.

      To further confirm that CheY overexpression promotes aggregation through increased c-di-GMP levels, we performed additional experiments co-overexpressing CheY and a phosphodiesterase (PDE) from E. coli to reduce intracellular c-di-GMP. These experiments showed that PDE expression mitigates cell aggregation caused by CheY overexpression (Fig. S8).

      We have revised the manuscript accordingly (lines 290-294) and added these new results in Fig. S8.

      Reviewer #3 (Public Review):

      Summary:

      The authors investigated the assembly and polar localization of the chemosensory cluster in P. aeruginosa. They discovered that a certain protein (FlhF) is required for the polar localization of the chemosensory cluster while a fully-assembled motor is necessary for the assembly of the cluster. They found that flagella and chemosensory clusters always co-localize in the cell; either at the cell pole in wild-type cells or randomly-located in the cell in FlhF mutant cells. They hypothesize that this co-localization is required to keep the level of another protein (CheY-P), which controls motor switching, at low levels as the presence of high levels of this protein (if the flagella and chemosensory clusters were not co-localized) is associated with high-levels of c-di-GMP and cell aggregations.

      Strengths:

      The manuscript is clearly written and straightforward. The authors applied multiple techniques to study the bacterial motility system including fluorescence light microscopy and gene editing. In general, the work enhances our understanding of the subtlety of interaction between the chemosensory cluster and the flagellar motor to regulate cell motility.

      Weaknesses:

      The major weakness in this paper is that the authors never discussed how the flagellar gene expression is controlled in P. aeruginosa. For example, in E. coli there is a transcriptional hierarchy for the flagellar genes (early, middle, and late genes, see Chilcott and Hughes, 2000). Similarly, Campylobacter and Helicobacter have a different regulatory cascade for their flagellar genes (See Lertsethtakarn, Ottemann, and Hendrixson, 2011). How does the expression of flagellar genes in P. aeruginosa compare to other species? How many classes are there for these genes? Is there a hierarchy in their expression and how does this affect the results of the FliF and FliG mutants? In other words, if FliF and FliG are in class I (as in E. coli) then their absence might affect the expression of other later flagellar genes in subsequent classes (i.e., chemosensory genes). Also, in both FliF and FliG mutants no assembly intermediates of the flagellar motor are present in the cell as FliG is required for the assembly of FliF (see Hiroyuki Terashima et al. 2020, Kaplan et al. 2019, Kaplan et al. 2022). It could be argued that when the motor is not assembled then this will affect the expression of the other genes (e.g., those of the chemosensory cluster) which might play a role in the decreased level of chemosensory clusters the authors find in these mutants.

      We thank the reviewer for the insightful comments. P. aeruginosa possesses a four-tiered transcriptional regulatory hierarchy controlling flagellar biogenesis. Within this system, fliF and fliG belong to class II genes and are regulated by the master regulator FleQ. In contrast, chemotaxis-related genes such as cheA and cheW are regulated by intracellular free FliA, and currently, there is no evidence that FliA activity is influenced by proteins like FliG.

      To verify that the expression of core chemotaxis proteins was not affected by deletion of fliG, we performed Western blot analyses to compare CheY levels in wild-type, ΔfliF, and ΔfliG strains. We observed no significant differences, indicating that the reduced presence of receptor clusters in these mutants is not due to altered expression of chemotaxis proteins.

      Accordingly, we have revised the manuscript (lines 341-348) and updated Fig. 3B to reflect these findings.

      Recommendations for the authors:

      Reviewing Editor (Recommendations For The Authors):

      The reviewers comment on several important aspects that should be addressed, namely: the lack of statistical analysis; the need for clarifications regarding assumptions made regarding receptor localization; the functional importance of receptor-motor colocalization; and the need for an elaborate discussion of flagellar gene expression. Also, two reviewers pointed out the need to prove the co-localization of CheY and CheA; This is important since CheY is dynamic, shuttling back and forth from the chemotaxis complex to the base of the flagella, whereas CheA (or cheW or, even better, the receptors) is considered less dynamic and an integral part of the chemotaxis complex.

      Reviewer #1 (Recommendations For The Authors):

      Minor points:

      Line 43: "ubiquitous" - I would choose another word.

      We changed "ubiquitous" to "widespread".

      Line 49: "order" - change to organize.

      We changed "order" to "organize".

      Line 52: "To grow and colonize within the host, bacteria have evolved a mechanism for migrating...". Motility "towards more favorable environments" is an important survival strategy of bacteria in various ecological niches, not only within the host.

      We revised it to "grow and colonize in various ecological niches".

      Line 72: Define F6 in "F6 pathway-related receptors".

      The proteins encoded by chemotaxis-related genes collectively constitute the F6 pathway, which we have now explained in the manuscript text.

      Line 72-73: Do references 17 &18 really report colocalization of the chemotaxis receptor and flagella to the same pole? If these or other reports document such colocalization, then the sentence in the Abstract "Surprisingly, we found that both are located at the same cell pole..." is not correct.

      Kazunobu et al. (ref. 18) used scanning electron microscopy to preliminarily characterize the flagellation pattern of Pseudomonas aeruginosa during cell division, showing that existing flagella are located at the old pole. Zehra et al. (ref. 17), through fluorescence microscopy, observed that CheA and CheY proteins in dividing cells are typically also present at the old pole. Based on these observations, we inferred in the Introduction that the chemotaxis complex and flagellum may localize to the same cell pole.

      However, this inference is indirect and lacks direct live-cell evidence of colocalization, leaving its validity to be confirmed. This uncertainty was indeed the starting point and motivation for our study.

      In our work, we simultaneously visualized flagellar filaments and core chemoreceptor proteins at the single-cell level in P. aeruginosa. We characterized the assembly and spatial coordination of the chemotaxis network and flagellar motor throughout the cell cycle, providing direct evidence of their colocalization and coordinated assembly. This represents a significant advance beyond prior indirect observations and supports the novelty of our study.

      Accordingly, we have revised the relevant statements in lines 71-75 of the manuscript to better reflect the current state of the literature and emphasize the novelty of our direct observations.

      Line 108: "CheY has been shown to colocalize with chemoreceptors". The authors rely here (reference 29) and in other places on findings in E. coli. However, in the Introduction, they describe the many differences between the motility systems of P. aeruginosa and E. coli, e.g., the number of chemosensory systems and their spatial distribution (E. coli is a peritrichous bacterium, as opposed to the monotrichous bacterium P. aeruginosa). There seem to be proofs for colocalization of the Che and MCP proteins in P. aeruginosa, which should be cited here.

      Thank you for pointing this out. Harwood's group reported that a cheY-YFP fusion strain exhibited bright fluorescent spots at the cell pole, which disappeared upon knockout of cheA or cheW-genes encoding structural proteins of the chemotaxis complex. This strongly suggests colocalization of CheY with MCP proteins in P. aeruginosa. We have now cited this study as reference 17 in the manuscript.

      Figure 1B: Please replace the order of the schematic presentations, so that the cheY-egfp fusion, which is described first in the text, is at the top.

      We have modified the order of related images in Fig. 1B.

      Line 127: "by introducing cysteine mutations". Replace either by "by introducing cysteines" or by "by substituting several residues with cysteines".

      We changed the relevant statement to "by introducing cysteines".

      Line 144-145: "Given that the physiological and physical environments of both cell poles are nearly identical.". I think that also the physical, but certainly the physiological environment of the two poles is not identical. First, one is an old pole, and the other a new pole. Second, many proteins and RNAs were detected mainly or only in one of the poles of rod-shaped Gram-negative bacteria that are regarded as symmetrically dividing. Although my intuition is that the authors are correct in assuming that "it is unlikely that the unipolar distribution of the chemoreceptor array can be attributed to passive regulatory factors", relating it to the (false) identity between the poles is incorrect.

      We thank the reviewer for this important correction. We agree that the physiological environments of the two poles are not identical, given that one is the old pole and the other the new pole, and that many proteins and RNAs show polar localization in rod-shaped Gram-negative bacteria. Accordingly, we have revised the original text (lines 150-152) to read:

      “Despite potential differences in the physical and especially physiological environments at the two cell poles, it is unlikely that the unipolar distribution of the chemotaxis complex can be attributed to passive regulatory factors.”

      Lines 151-154: "Considering the consistent colocalization pattern between chemosensory arrays and flagellar motors in P. aeruginosa". Does the word consistent relate to different reports on such colocalization or to the results in Figure 1D? In case it is the latter, then what is the word consistent based on? All together only 7 cells are presented in the 5 micrographs that compose Figure 1D (back to statistics...).

      We thank the reviewer for raising this point. To clarify, the word "consistent" refers to the observation of colocalization shown in Figure 1D & Figure S3. As noted in the revised figure legend for Figure 1D, a total of 145 cells with labeled flagella were analyzed, all exhibiting consistent colocalization between flagella and chemosensory arrays. Additionally, we have included a new image showing a large field of co-localization in the wild-type strain as Figure S3 to better illustrate this consistency.

      Figure 2A: Omit "Subcellular localization of" from the beginning of the caption.

      We removed the relevant expression from the caption.

      Reviewer #2 (Recommendations For The Authors):

      I strongly recommend checking that CheY localizes to the receptor cluster in PA. This could be done by tagging cheA with a different fluorophore and demonstrating their colocalization. It would also be helpful to check that they are colocalized in the delta flhF mutant.

      We thank the reviewer for this valuable suggestion. We constructed a plasmid expressing CheA-CFP and introduced it into the CheY-EYFP strain by electroporation. Fluorescence imaging revealed a high degree of spatial overlap between CheA-CFP and CheY-EYFP signals, indicating that CheY-EYFP indeed marks the location of the chemoreceptor complex.

      We have revised the manuscript accordingly (lines 118-123) and included these results in the new Fig. S2.

      The experiments under- and over-expressing CheY part seemed too unrelated to receptor-motor colocalization. I think the authors should think about a more direct way of testing whether colocalization of the motor and receptors is important for preventing signaling crosstalk. One way would be to measure cdG levels in WT and in delta flhF mutants and see if there is a significant difference.

      We thank the reviewer for raising the important point regarding potential cellular stress caused by elevated CheY concentrations, as well as for the suggestion to test the hypothesis using flhF mutants.

      First, as noted in the response to your 2nd comment in Public Review, CheY-P concentration rapidly decreases away from the receptor complex. While deletion of flhF alters the position of the receptor complex, thereby shifting the region of high CheY-P concentration, it does not increase CheY-P levels elsewhere in the cell. Importantly, in the ΔflhF strain, the receptor complex and the motor still colocalize, so this mutant may not effectively test the role of receptor-motor colocalization in preventing crosstalk as suggested.

      Regarding the possibility that elevated CheY levels stress the cells independently of CheY-P signaling, prior work in E. coli by Cluzel et al. (ref. 11) showed that overexpressing CheY several-fold did not cause phenotypic changes, indicating that simple CheY overexpression alone may not be generally stressful. Furthermore, our data indicate that the increase in c-di-GMP levels and subsequent cell aggregation upon CheY overexpression is not an all-or-none switch but occurs progressively as CheY concentration rises.

      To further confirm that CheY overexpression promotes aggregation through increased c-di-GMP levels, we performed additional experiments co-overexpressing CheY and a phosphodiesterase (PDE) from E. coli to reduce intracellular c-di-GMP. These experiments showed that PDE expression mitigates cell aggregation caused by CheY overexpression (Fig. S8).

      We have revised the manuscript accordingly (lines 290-294) and added these new results in Fig. S8.

      Reviewer #3 (Recommendations For The Authors):

      (1) Can the authors elaborate more on the hierarchy of flagellar gene expression in P. aeruginosa and how this relates to their work?

      We thank the reviewer for the suggestion. We have now described the hierarchy of flagellar gene expression in P. aeruginosa in lines 341-348.

      (2) I would suggest that the authors check other flagellar mutants (than FliF and FliG) where the motor is partially assembled (e.g., any of the rod proteins or the P-ring protein), together with FlhF mutant, to see how a partially assembled motor affects the assembly of the chemosensory cluster.

      We thank the reviewer for this valuable suggestion. The P ring, primarily composed of FlgI, acts as a bushing for the peptidoglycan layer, and its absence leads to partial motor assembly. We constructed a ΔflgI mutant and observed that the proportion of cells exhibiting distinct chemotactic complexes was similar to that of the wild-type strain, suggesting that the assembly of the receptor complex is likely influenced mainly by the C-ring and MS-ring structures rather than by the P ring. We have revised the original text accordingly (lines 217-220) and added the corresponding data as Figure S6.

      (3) I would suggest that the authors check the levels of CheY in cells induced with different concentrations of arabinose (i.e., using western blotting just like they did in Figure 3B).

      We have assessed the levels of CheY in cells induced with different concentrations of arabinose using western blotting, as suggested. The results have been incorporated into the manuscript (lines 274-275) and are presented in Figure S7.

      (4) To my eyes, most of the foci in FliF-FlhF mutant in Figure 3A are located at the pole (which is unlike the FlhF mutant in Figure 2). Is this correct? I would suggest that the authors also investigate this to see where the chemosensory cluster is located.

      We thank the reviewer for pointing this out. The distribution of the chemotaxis complex in the ΔflhFΔfliF strain was investigated and showed in Fig. S4. Indeed, most of the chemoreceptor foci in this mutant are located at the pole. This probably suggests that, in the absence of both FlhF and an assembled motor, the position of the receptor complex may be largely influenced by passive factors such as membrane curvature. This interesting possibility warrants further investigation in future studies.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary

      In this work, the authors recorded the dynamics of the 5-HT with fiber photometry from CA1 in one hemisphere and LFP from CA1 in the other hemisphere. They observed an ultra-slow oscillation in the 5-HT signal during both wake fulness and NREM sleep. The authors have studied different phases of the ultra-slow oscillation to examine the potential difference in the occurrence of some behavioral state-related physiological phenomena hippocampal ripples, EMG, and inter-area coherence).

      Strengths

      The relation between the falling/rising phase of the ultra-slow oscillation and the ripples is sufficiently shown. There are some minor concerns about the observed relations that should be addressed with some further analysis.

      Systematic observations have started to establish a strong relation between the dynamics of neural activity across the brain and measures of behavioral arousal. Such relations span a wide range of temporal scales that are heavily inter-related. Ultra-slow time-scales are specifically under-studied due to technical limitations and neuromodulatory systems are the strongest mechanistic candidates for controlling/modulating the neural dynamics at these time-scales. The hypothesis of the relation between a specific time-scale and one certain neuromodulator (5-HT in this manuscript) could have a significant impact on the understanding of the hierarchy in the temporal scales of neural activity.

      Weaknesses:

      One major caveat of the study is that different neuromodulators are strongly correlated across all time scales and related to this, the authors need to discuss this point further and provide more evidence from the literature (if any) that suggests similar ultra-slow oscillations are weaker or lack from similar signals recorded for other neuromodulators such as Ach and NA.

      The reviewer is correct to point out that the levels of different neuromodulators are often correlated. For example, most monoaminergic neurons, including serotonergic neurons of the raphe nuclei, show similar firing rates across behavioral states, firing most during wake behavior, less during NREM, and ceasing firing during ‘paradoxical sleep’ or REM (Eban-Rothschild et al 2018). Notably, other neuromodulators, such as acetylcholine (ACh), show the opposite pattern across states, with highest levels observed during REM, an intermediate level during wake behavior, and the lowest level during NREM (Vazquez et al. 2001). Despite these differences, ultraslow oscillations of both monoaminergic and non-monoaminergic neuromodulators, have been described, albeit only during NREM sleep (Zhang et al. 2021, Zhang et al. 2024, Osorio-Ferero et al. 2021, Kjaerby et al. 2022). How ultraslow oscillations of different neuromodulators are related has been only recently explored (Zhang et al. 2024). In this study, dual recording of oxytocin (Oxt) and ACh with GRAB sensors showed that the levels of the two neuromodulators were indeed correlated at ultraslow frequencies with a 2 s temporal shift. Furthermore, this shift could be explained by a hippocampal-to-lateral septum intermediate pathway, in which the level of ACh causally impacts hippocampal activity, which then in turn controls Oxt levels. Given the known temporal relationship between ripples, ACh and Oxt, and now with our work, between ripples and 5-HT, one could infer the relative timing of ultraslow oscillations of ACh, Oxt and 5-HT. While dual recordings of norepinephrine (NE) and 5-HT have not been performed, a similar correlation with temporal shift could be hypothesized given the parallel relationships between NE and spindles (OsorioFerero et al. 2021), and 5-HT and ripples, with the known temporal delay between ripples and spindles (Staresina et al. 2023). The fact that the locus coerulus receives particularly dense projections from the dorsal raphe nucleus (Kim et al. 2004) further suggests that 5-HT ultraslow oscillations could drive NE oscillations. How exactly ultraslow oscillations of serotonin are related to ultraslow oscillations of different neuromodulators in different brain regions remains to be studied.

      We have further addressed this question and how it relates to the issue of causality in the Discussion section of the manuscript (p. 13):

      “In addition to the difficulties involved with typical causal interventions already mentioned, the fact that the levels of different neuromodulators are interrelated and affected by ongoing brain activity makes it very hard to pinpoint ultraslow oscillations of one specific neuromodulator as controlling specific activity patterns, such as ripple timing. While a recent paper purported to show a causative effect of norepinephrine levels on ultraslow oscillations of sigma band power, the fact that optogenetic inhibition of locus coerulus (LC) cells, but also excitation, only caused a minor reduction of the ultraslow sigma power oscillation suggests that other factors also contribute (Osorio-Forero et al., 2021). Generally, it is thought that many neuromodulators together determine brain states in a combinatorial manner, and it is probable that the 5-HT oscillations we measure, like the similar oscillations in NE, are one factor among many.

      Nevertheless, given the known effects of 5-HT on neurons, it is not unlikely that the 5-HT fluctuations we describe have some impact on the timing of ripples, MAs, hippocampal-cortical coherence, or EMG signals that correlate with either the rising or descending phase. In fact, causal effects of 5-HT on ripple incidence (Wang et al. 2015, ul Haq et al. 2016 and Shiozaki et al. 2023), MA frequency (Thomas et al. 2022), sensory gating (Lee et al. 2020), which is subserved by inter-areal coherence (Fisher et al. 2020), and movement (Takahashi et al. 2000, Alvarez et al. 2022, Jacobs et al. 1991 and Luchetti et al. 2020) have all been shown. Our added findings that serotonin affects ripple incidence in hippocampal slices in a dose-dependent manner (Figure S1) further suggests that the relationship between ultraslow 5-HT oscillations and ripples we report may indeed result, at least in part, from a direct effect of serotonin on the hippocampal network.

      Whether these ‘causal’ relationships between 5-HT and the different activity measures we describe can be used to support a causal link between ultraslow 5-HT oscillations and the correlated activity we report remains an open question. To that point, some studies have described changes in ultraslow oscillations due to manipulation of serotonin signaling. Specifically, reduction of 5-HT1a receptors in the dentate gyrus was recently shown to reduce the power of ultraslow oscillations of calcium activity in the same region (Turi et al. 2024). Furthermore, psilocin, which largely acts on the 5-HT2a receptor, decreased NREM episode length from around 100 s to around 60 s, and increased the frequency of brief awakenings (Thomas et al. 2022). While ultraslow oscillations were not explicitly measured in this study, the change in the rhythmic pattern of NREM sleep episodes and brief awakenings, or microarousals, suggests an effect of psilocin on ultraslow oscillations during NREM. Although these studies do not necessarily point to an exclusive role for 5-HT in controlling ultraslow oscillations of different brain activity patterns, they show that changes in 5-HT can contribute to changes in brain activity at ultraslow frequencies.”

      A major question that has been left out from the study and discussion is how the same level of serotonin before and after the peak could be differentially related to the opposite observed phenomenon. What are the possible parallel mechanisms for distinguishing between the rising and falling phases? Any neurophysiological evidence for sensing the direction of change in serotonin concentration (or any other neuromodulator), and is there any physiological functionality for such mechanisms?

      We have added a paragraph in the discussion to address how this differentiation of the 5-HT signal may be carried out (Discussion, paragraph #3, p. 10):

      “In order for the ultraslow oscillation phase to segregate brain activity, as we have observed, the hippocampal network must somehow be able to sense the direction of change of serotonin levels. While single-cell mechanisms related to membrane potential dynamics are typically too fast to explain this calculation, a theoretical work has suggested that feedback circuits can enable such temporal differentiation, also on the slower timescales we observe (Tripp and Eliasmith, 2010). Beyond the direction of change in serotonin levels, temporal differentiation could also enable the hippocampal network to discern the steeper rising slope versus the flatter descending slope that we observe in the ultraslow 5-HT oscillations (Figure S2), which may also be functionally relevant (Cole and Voytek, 2017). The distinction between the rising and falling phase of ultraslow oscillations is furthermore clearly discernible at the level of unit responses, with many units showing preferences for either half of the ultraslow period (Figure S6). Another factor that could help distinguish the rising from the falling phase is the level of other neuromodulators, as it is likely the combination of many neuromodulators at any given time that defines a behavioral substate. Given the finding that ACh and Oxt exhibit ultraslow oscillations with a temporal shift (Zhang et al. 2024), one could posit that distinct combinations of different levels of neuromodulators could segregate the rising from the falling phase via differential effects of the combination of neuromodulators on the hippocampal network.”

      Functionally, the ability to distinguish between the rising and falling phases of an oscillatory cycle is a form of phase coding. A well-known example of this can be seen in hippocampal place cells, which fire relative to the ongoing theta oscillations. The key advantage of phase coding is that it introduces an additional dimension, i.e. phase of firing, beyond the simple rate of neural firing. This allows for the multiplexing of information (Panzeri et al., 2010), enabling the brain to encode more complex patterns of activity. Moreover, phase coding is metabolically more efficient than traditional spike-rate coding (Fries et al., 2007).

      Reviewer #2 (Public review):

      Summary:

      In their study, Cooper et al. investigated the spontaneous fluctuations in extracellular 5-HT release in the CA1 region of the hippocampus using GRAB5-HT3.0. Their findings revealed the presence of ultralow frequency (less than 0.05 Hz) oscillations in 5-HT levels during both NREM sleep and wakefulness. The phase of these 5-HT oscillations was found to be related to the timing of hippocampal ripples, microarousals, electromyogram (EMG) activity, and hippocampal-cortical coherence. In particular, ripples were observed to occur with greater frequency during the descending phase of 5-HT oscillations, and stronger ripples were noted to occur in proximity to the 5-HT peak during NREM. Microarousal and EMG peaks occurred with greater frequency during the ascending phase of 5-HT oscillations. Additionally, the strongest coherence between the hippocampus and cortex was observed during the ascending phase of 5-HT oscillations. These patterns were observed in both NREM sleep and the awake state, with a greater prevalence in NREM. The authors posit that 5-HT oscillations may temporally segregate internal processing (e.g., memory consolidation) and responsiveness to external stimuli in the brain.

      Strengths:

      The findings of this research are novel and intriguing. Slow brain oscillations lasting tens of seconds have been suggested to exist, but to my knowledge they have never been analyzed in such a clear way. Furthermore, although it is likely that ultra-slow neuromodulator oscillations exist, this is the first report of such oscillations, and the greatest strength of this study is that it has clarified this phenomenon both statistically and phenomenologically.

      Weaknesses:

      As with any paper, this one has some limitations. While there is no particular need to pursue them, I will describe ten of them below, including future directions:

      (1) Contralateral recordings: 5-HT levels and electrophysiological recordings were obtained from opposite hemispheres due to technical limitations. Ipsilateral simultaneous recordings may show more direct relationships.

      Although we argue that bilateral symmetry defines both the serotonin system and many hippocampal activity patterns (Methods: Dual fiber photometry and silicon probe recordings), we agree that ipsilateral recordings would be superior to describe the link between serotonin and electrophysiology in the hippocampus. In addition to noting that a recent study has adopted the same contralateral design (Zhang et al. 2024), we add a reference further supporting bilateral hippocampal synchrony, specifically of dentate spikes (Farrell et al. 2024). However, as functional lateralization has been recently proposed to underlie certain hippocampal functions in the rodent (Jordan 2020), future studies should ideally include both imaging and electrophysiology in a single hemisphere to guarantee local correlations rather than assuming inter-hemispheric synchrony. This could be accomplished using an integrated probe with attached optical fibers, as described in Markowitz et al. 2018, which is however technically more challenging and has, to our knowledge, not yet been implemented with fiber photometry recordings with GRAB sensors. Given the required separation of a few hundred micrometers between the probe shanks and the optical fiber cannula, it is important to consider whether the recordings are capturing the same neuronal populations. For example, there is a risk of recording electrical activity from dorsal hippocampal neurons while simultaneously measuring light signals from neurons in the intermediate hippocampus, which are functionally distinct populations (Fanselow and Dong 2009).

      (2) Sample size: The number of mice used in the experiments is relatively small (n=6). Validation with a larger sample size would be desirable.

      While larger sample sizes generally reduce the influence of random variability and minimize the impact of outliers on conclusions, our use of mixed-effects models mitigates these concerns by accounting for both inter-session and inter-mouse variability. With this approach, we explicitly model random effects, such as the variability between individual mice and sessions, alongside fixed effects (such as treatment), which ensures that our results are not driven by random fluctuations in a few individual mice or sessions. Furthermore, the inclusion of random intercepts and slopes in the models allows for the possibility that different animals and/or sessions have different baseline characteristics and respond to different degrees of magnitude to the treatment. In summary, while validating these findings with a larger sample size would certainly help detect more subtle effects, we are confident in the robustness of the conclusions presented.

      (3) Lack of causality: The observed associations show correlations, not direct causal relationships, between 5-HT oscillations and neural activity patterns.

      We agree that the data we present in this study is largely correlational and generally avoid claims of causality in the manuscript. In the Discussion section, we discuss barriers to interpreting typical causal interventions in vivo, such as optogenetic activation of raphe nuclei: “The two previously mentioned in vivo studies showing reduced ripple incidence…”(paragraph #10, pg. 12), as well as an added section on further causality considerations in the Discussion section of the manuscript (paragraph #12, pg. 13): “In addition to the difficulties involved with…”

      Due to these barriers, as a first step, we wanted to describe how physiological changes in serotonin levels are correlated to changes in the hippocampal activity. Equipped with a deeper understanding of physiological serotonin dynamics, future studies could explore interventions that modulate serotonin in keeping with the natural range of serotonin fluctuations for a given state. On that point, another challenge which we have not mentioned in the manuscript is that modulating serotonin, or any neuromodulator’s levels, has the potential, depending on the degree of modulation, to transition the brain to an entirely different behavioral state. This then complicates interpretation, as one is not sure whether effects observed are due to the changes in the neuromodulator itself, or secondary to changes in state. At the same time, 5-HT activity drives networks which in return can change the release of other neurotransmitters, leading to indirect effects.

      The results of our in vitro experiments suggest that a causal relationship between serotonin and ripples is possible (Figure S1). Though the hippocampal slice preparation is clearly an artificial model, it provides a controlled environment to isolate the effects of serotonin manipulation on the hippocampal formation, without the confounding influence of systemic 5-HT fluctuations in other brain regions. Notably, the dose-dependent effects of serotonin (5-HT) wash-in on ripple incidence observed in vitro closely mirror the inverted-U dose-response curve seen in our in vivo experiments across states, where small increases in serotonin lead to the highest ripple incidence, and both lower and higher levels correspond to reduced ripple activity. This parallel suggests that the gradual washing of serotonin in our in vitro system may mimic the tonic firing changes in serotonergic neurons that occur during state transitions in vivo. These findings underscore the importance of studying how different dynamics of serotonin modulation can differentially affect hippocampal network activity.

      (4) Limited behavioral states: The study focuses primarily on sleep and quiet wakefulness. Investigation of 5-HT oscillations during a wider range of behavioral states (e.g., exploratory behavior, learning tasks) may provide a more complete understanding.

      We agree that future studies should investigate a broader range of behavioral states. For this study, as we were focused on general sleep and wake patterns, our recordings were done in the home cage, and we limited ourselves to the basic behavioral states described in the paper. Future studies should be designed to investigate ultraslow 5-HT oscillations during different behaviors, such as continuous treadmill running. Specifically, a finer segregation of extended wake behaviors by level of arousal could greatly add to our understanding of the role of ultraslow serotonin oscillations.

      (5) Generalizability to other brain regions: The study focuses on the CA1 region of the hippocampus. It's unclear whether similar 5-HT oscillation patterns exist in other brain regions.

      Given the reported ultraslow oscillations of population activity in serotonergic neurons of the dorsal raphe nucleus (Kato et al. 2022) as well as the widespread projections of the serotonergic nuclei, we would expect a broad expression of ultraslow 5-HT oscillations throughout the brain. So far, ultraslow 5-HT oscillations have been described in the basal forebrain, as well as in the dentate gyrus, in addition to what we have shown in CA1 (Deng et al. 2024 and Turi et al. 2024). Furthermore, our results showing that hippocampal-cortical coherence changes according to the phase of hippocampal ultraslow 5-HT oscillations suggests that 5-HT can affect oscillatory activity either indirectly by modulating hippocampal cells projecting to the cortical network or directly by modulating the cortical postsynaptic targets. Given the heterogeneity in projection strength, as well as in pre- and postsynaptic serotonin receptor densities across brain regions (de Filippo & Schmitz, 2024), it would be interesting to see whether local ultraslow 5-HT oscillations are differentially modulated, e.g. in terms of oscillation power. Future studies investigating different brain regions via implantation of multiple optic fibers in different brain areas or using the mesoscopic imaging approach adopted in Deng et al. 2024, will be needed to examine the extent of spatial heterogeneity in this ultraslow oscillation.

      (6) Long-term effects not assessed: Long-term effects of ultra-low 5-HT oscillations (e.g., on memory consolidation or learning) were not assessed.

      While beyond the scope of our current study, we agree that an important next step would involve modulating the ultraslow serotonin oscillation after learning, and then examining potential effects on memory consolidation, presumably via changes in ripple dynamics, though many possibilities could explain potential effects. There, our results suggest it would be important to isolate effects due to the change in ultraslow oscillation features, rather than simply overall levels of 5-HT. To that end, it would be important to test different modulation dynamics, specifically modulating the oscillation strength, around a constant mean 5-HT level by carefully timed optogenetic stimulation/inhibition. Afterwards, showing a clear correlation between the strength of the 5-HT modulation and memory performance would be important to establishing the relationship, as done in Lecci et al 2017, where more prominent ultraslow oscillations of sigma power in the cortex during sleep, alongside a higher density of spindles, were correlated with better memory consolidation. Given the tight coupling of spindles and ripples during sleep, it is possible that a similar effect on memory consolidation would be observed following changes in ultraslow 5-HT oscillation power.

      (7) Possible species differences: It's uncertain whether the findings in mice apply to other mammals, including humans.

      We agree that the experiments should ultimately be replicated in humans. In the 2017 study by Lecci et al., the authors highlighted the shared functional requirements for sleep across species, despite apparent differences, such as variations in sleep volume. To explore these commonalities, the researchers conducted parallel experiments in both mice and humans, aiming to identify a universal organizing structure. They discovered that the ultraslow oscillation of sigma power serves this role, enabling both species to balance the competing demands of arousability and sleep imperviousness. Based on this finding, it is plausible that ultraslow oscillations of serotonin, which similarly modulate activity according to arousal levels, would serve a comparable function in humans.

      (8) Technical limitations: The temporal resolution and sensitivity of the GRAB5-HT3.0 sensor may not capture faster 5-HT dynamics.

      The kinetics of the GRAB5-HT3.0 sensor used in this study limit the range of serotonin dynamics we can observe. However, the ultraslow oscillations we measure reflect temporal changes on the scale of 20 s and greater, whereas the GRAB sensor we use has sub-second on kinetics and below 2 s off kinetics (Deng et al. 2024). Therefore, the sensor is capable of reporting much faster activity than the ultraslow oscillations we observe, indicating that the ultraslow 5-HT signal accurately reflects the dynamics on this time scale. Furthermore, the presence of ultraslow oscillations in spiking activity—observed in the hippocampal formation (Gonzalo Cogno et al., 2024; Aghajan et al., 2023; Penttonen et al., 1999) and in the dorsal raphe (Mlinar et al., 2016), which are not affected by the same temporal smoothing, suggests that the oscillations we record are not likely due to signal aliasing, but instead reflect genuine oscillatory activity. Of course, this does not preclude that other, faster serotonin dynamics are also present in our signal, some of which may be too fast to be observed. For instance, rapid serotonin signaling via the ionotropic 5-HT3a receptors could be missed in our recordings. Additionally, with the fiber photometry approach we adopted, we are limited to capturing spatially broad trends in serotonin levels, potentially overlooking more localized dynamics.

      (9) Interactions with other neuromodulators: The study does not explore interactions with other neuromodulators (e.g., norepinephrine, acetylcholine) or their potential ultraslow oscillations.

      We agree that the interaction between neuromodulators in the context of ultraslow oscillations is an important issue, which we have addressed in our response to reviewer #1 under ‘Weaknesses.’

      (10) Limited exploration of functional significance: While the study suggests a potential role for 5-HT oscillations in memory consolidation and arousal, direct tests of these functional implications are not included.

      We agree and reference our answer to (6) regarding memory consolidation. Regarding arousal, direct tests of arousability to different sensory stimuli during different phases of the ultraslow 5-HT oscillation during sleep would be beneficial, in addition to the indirect measures of arousal we examine in the current study, e.g. degree of movement (icEMG) and long range coherence. In line with what we have shown, Cazettes et al. (2021) has demonstrated a direct relationship between 5-HT levels and pupil size, an indicator of arousal level, which like our findings, is consistent across behavioral states.

      Reviewer #3 (Public review):

      Summary:

      The activity of serotonin (5-HT) releasing neurons as well as 5-HT levels in brain structures targeted by serotonergic axons are known to fluctuate substantially across the animal's sleep/wake cycle, with high 5-HT levels during wakefulness (WAKE), intermediate levels during non-REM sleep (NREM) and very low levels during REM sleep. Recent studies have shown that during NREM, the activity of 5HT neurons in raphe nuclei oscillates at very low frequencies (0.01 - 0.05 Hz) and this ultraslow oscillation is negatively coupled to broadband EEG power. However, how exactly this 5-HT oscillation affects neural activity in downstream structures is unclear.

      The present study addresses this gap by replicating the observation of the ultraslow oscillation in the 5-HT system, and further observing that hippocampal sharp wave-ripples (SWRs), biomarkers of offline memory processing, occur preferentially in barrages on the falling phase of the 5-HT oscillation during both wakefulness and NREM sleep. In contrast, the raising phase of the 5-HT oscillation is associated with microarousals during NREM and increased muscular activity during WAKE. Finally, the raising 5-HT phase was also found to be associated with increased synchrony between the hippocampus and neocortex. Overall, the study constitutes a valuable contribution to the field by reporting a close association between raising 5-HT and arousal, as well as between falling 5-HT and offline memory processes.

      Strengths:

      The study makes compelling use of the state-of-the-art methodology to address its aims: the genetically encoded 5-HT sensor used in the study is ideal for capturing the ultraslow 5-HT dynamics and the novel detection method for SWRs outperforms current state-of-the-art algorithms and will be useful to many scientists in the field. Explicit validation of both of these methods is a particular strength of this study.

      The analytical methods used in the article are appropriate and are convincingly applied, the use of a general linear mixed model for statistical analysis is a particularly welcome choice as it guards against pseudoreplication while preserving statistical power.

      Overall, the manuscript makes a strong case for distinct sub-states across WAKE and NREM, associated with different phases of the 5-HT oscillation.

      Weaknesses:

      All of the evidence presented in the study is correlational. While the study mostly avoids claims of causality, it would still benefit from establishing whether the 5-HT oscillation has a direct role in the modulation of SWR rate via e.g. optogenetic activation/inactivation of 5-HT axons. As it stands, the possibility that 5-HT levels and SWRs are modulated by the same upstream mechanism cannot be excluded.

      We agree that causality claims cannot be made with our data, and acknowledge the interest in exploring causal interactions between ultraslow serotonin oscillations and the correlated activity we measure. We address this point in depth in our answer to Reviewer #2, Weaknesses #3.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      One major question in the presented data is the nature of the asymmetrical shape of the targeted slow events. How much does it reflect the 5-HT concentration and how much is this shape affected by the dynamics of the designed 5-HT sensor? This needs to be addressed in more detail referencing the original paper for the used sensor.

      We have added a paragraph in the Results section of the manuscript to address the asymmetric waveform of the ultraslow 5-HT oscillations and whether it could be affected by the asymmetric kinetics of the GRAB sensor we use: “The waveform of these ultraslow 5-HT oscillations…” (Results, paragraph #4, pg. 5). We include an extended answer to the question here:

      Indeed, the GRAB5-HT3.0 sensor we use in the study shows activation response kinetics which are faster than their deactivation time, with time constants at 0.25 s and 1.39 s, respectively (Deng et al. 2024). Likewise, the slope of the rising phase of the ultraslow serotonin oscillation we measure is faster than the slope of the falling phase, and the ratio of time spent in the rising phase versus the falling phase is less than 1, indicating longer falling phases (Figure S2). Although we cannot completely rule out that the asymmetric shape of the ultraslow serotonin oscillations we record is affected by this asymmetry in the 5-HT sensor kinetics, we believe this is unlikely, as the 5-HT signal clearly contains reductions in 5-HT levels that are much faster than the descending phase of the ultraslow oscillation. Although it is difficult to directly compare the different-sized signals, the reported timescales of off kinetics, on the order of a few seconds (Deng et al. 2024), are far below the tens of seconds timescale of the ultraslow oscillation. Furthermore, the finding that some dorsal raphe neurons modulate their firing rate at ultraslow frequencies, and moreover that all examples of such ultraslow oscillations shown display clear asymmetry in rising time versus decay, suggests that the asymmetry we observe in our data could be due to neural activity rather than temporal smoothing by the sensor (Mlinar et al. 2016). In this same direction, another study found similar asymmetry in extracellular 5-HT levels measured with fast scan cyclic voltammetry (FSCV), a technique with greater temporal resolution (sampling rate of 10 Hz) than GRAB sensors, after single pulse stimulation (Bunin and Wightman 1998). In this study, 5-HT was shown to be released extrasynaptically, making the longer clearing time compared to the release time intuitive. Finally, the observation that the onsets and offsets of ripple clusters, recorded with a sampling rate of 20 kHz, are precisely aligned with the peaks and troughs of ultraslow serotonin oscillations (Figure 1, H1-2, columns 2-3) suggests that the duration of the falling phase is not artificially distorted by the temporal smoothing of the sensor dynamics.

      Regardless of the dynamics of the serotonin concentration, it should be noted that the elicited neuronal effect might have different dynamics compared to the 5-HT concentration that need to be more studied: to address this one can either examine the average of the broadband LFP (not high passfiltered by the amplifier) or the distribution of simultaneously recorded spiking activity around the peak of ultra-slow oscillations.

      We have added Figure S6, showing unit activity relative to the phase of ultraslow serotonin oscillations.

      From this analysis, we uncover three groups of units which are largely preserved across states (Figure S6, E vs. F), albeit with a slight temporal shift rightward from NREM to WAKE (Figure S6, C vs. D). Namely, some units spike preferentially during the rising phase, some during the falling phase, and a third group have no clear phase preference. Unit activity during the falling phase is unsurprising, as it is where ripples largely occur, which themselves are associated with spike bursts. During the rising phase, the unit activity we observe could correspond to firing of the hippocampal subpopulation known to be active during NREM interruption states (Jarosiewicz et al. 2002, Miyawaki et al. 2017). While the units’ phase preference was tested based on the category of rising vs. falling phase, as this division described most variation in the data, a few units in the ‘No preference’ group showed heightened activity near the oscillation peak. However, given the very small number of units with this preference, more unit data is needed to describe this group, ideally with high-density recordings. Overall, most units showed a falling vs. rising phase preference, indicating a phase coding of hippocampal activity by 5-HT ultraslow oscillations.

      Related to the previous point, it would be helpful to show the average cycle shape of these oscillations (relative to the phase 0 extracted in Figure 3) and do the shape comparison across sessions and also wake/NREM

      We agree, and to this end we have added Figure S2. From this waveform analysis, we show that the ultraslow serotonin oscillation is asymmetric, with the rising phase having a greater slope, but shorter length, than the falling phase. While this asymmetry is observed both in NREM and WAKE, the slope difference and length ratio difference in rising vs. falling phase is greater in NREM (Figure S2. B).

      In Figure 3D, there seem to be oscillatory rhythms with faster cycles on top of the targeted oscillations. That would make the phase estimation less accurate, e.g. in the left panel, in the second cycle, it is not clear if there are two faster cycles or it is one slow cycle as targeted, and if noted in the rising phase of the second fast cycle there are no ripples. This might suggest that regardless of specific oscillation frequency whenever 5-HT is started to get released, the ripples are suppressed and once the 5-HT is not synaptically effective anymore the ripples start to get generated while the photometry signal starts to wane with the serotonin being cleared. Still, if there is any rhythmicity between bouts of no ripple, it would suggest an ultra-slow regularity in the 5-HT release.

      The reviewer is correct to point out that some faster increases in serotonin, which occur on top of the ultraslow oscillations we measure, seem to be associated with decreased ripple incidence, as in the example referenced. The dominance of ultraslow frequencies in the power spectrum of the 5-HT signal suggests, however, that oscillations faster than the ultraslow oscillations we describe are far less prevalent in the data. While there may be some coupling of ripples and other measures to serotonin oscillations of different frequencies, this may be hard or impossible to detect with phase analysis based on their infrequent occurrence and nonstationary nature. In fact, we show in Figure S3 that the strongest phase modulation of ripples by ultraslow serotonin oscillations is observed in the frequencies we use (0.01-0.06 Hz). Methodologically, phase analysis indeed assumes stationary signals, which are rare if not absent in physiological data (Lo et al. 2009), however generally the narrower the frequency band, the better the phase estimation. The narrow frequency band we use provides phase estimates that are largely robust and unaffected by the presence of faster oscillations, as can be seen in the example phase traces shown in Figure 4.

      The hypothesis that the rising phase burst of synaptic serotonin is what silences ripples, and that with the clearing of serotonin from the synapses, ripples recover, is a possible explanation of our findings. However, if this were the case, one could expect the ripple rate to increase over the course of the falling phase of ultraslow 5-HT oscillations, as 5-HT decreases, and peak at the trough. This is at odds with what we observe, namely a fairly uniform distribution of ripples along the falling phase (Figure 3F2,F4). Furthermore, the Mlinar et al. 2016 study describes a subpopulation of raphe neurons whose firing rates themselves oscillate at ultraslow frequencies, rather than on-off bursting at ultraslow frequencies, which would argue against this hypothesis. However, as this study looks at a small number of neurons in slices, further in vivo experiments examining firing rates of median raphe neurons are required to understand how the ultraslow oscillation of extracellular serotonin that we measure is generated as well as how it is related to ripple rates.

      In Figure 3B, it is not clear why IRI is z-scored. It would be informative to have the actual value of IRI. What is the z relative to? Is it the mean value of IRI in each recording session? Is this to reduce the variability across sessions?

      We have now included in Figure 3D a box plot displaying the IRI distributions across different states and sessions. To minimize inter-session variability, data were z-scored within each session for visualization purposes. However, all general linear models were based on raw data, and as a result, the raw differences in IRI are shown in Figure 3C.

      Figure 3E, panel labels don't match with the caption

      We are grateful to the reviewer for pointing out this mistake, which we have corrected in the updated version of the manuscript.

      In the text related to Figure 3E, the related analysis can be more clearly described. "phase preference of individual ripples" does not immediately suggest that the occurring phase of each ripple relative to the targeted oscillation is extracted. I suggest performing this analysis individually for each session and summarizing the results across the sessions.

      We have reworded the sentence in Results: 5-HT and ripples to better reflect the analysis performed: “Next, we calculated the ultraslow 5-HT phases at which individual ripples occurred during both NREM and WAKE (3E-F) ...”. Regarding session-level data, we have added Figure S3, which shows session level mean phase vectors, as well as the grand mean across sessions for both NREM and WAKE. Included in this figure are session level means for frequency bands outside of the ultraslow band we used in our study, intended to show that ripples are most strongly timed by the ultraslow band (0.01-0.06 Hz), reflected by the greater amplitude of the mean phase vector for this band.

      Figure 3E2, based on the result of ripple-triggered 5-HT in left panels of 2H1-2, one would expect to see a preferred phase closer to 180 (toward the end of the falling phase), it would be helpful to compare and discuss the results of these two analyses.

      The reviewer is correct to point out the apparent discrepancy in where the mean ripple falls with respect to the ongoing serotonin oscillation between the two figures mentioned. We have addressed this point in Results: 5-HT and ripples, paragraph #4: “This result appear to be at odds with…”.

      Regarding the analysis in 3F, please also compare the power distribution of ripples between NREM and wake. This will help to better understand the potential difference behind the observed difference: how much the strong ripples are comparable between wake and NREM. It is also necessary to report the ripple detection failure rate across ripples with different strengths.

      We have added a figure showing analysis done on a subset of the data in which ripples were manually curated in order to evaluate the performance of the ripple detection model (Figure S7) and explanatory text in Methods: Model performance: ‘To ensure that our model …’. In summary, while missed ripples did tend to have lower power than correctly detected ripples, including them did not change the distribution of ripples by the phase of the ultraslow serotonin oscillation (Figure S7C). We would also note that while the phase preference is noisier than what is presented in Figure 3F because this analysis was done with a small subset of all recorded ripples, the fact that ripples occur more clearly on the falling phase is visible for both detected ripples and detected + false negative ripples.

      The mixed-effects model examining the influence of 5-HT ultraslow oscillation phase on ripple power revealed no significant effect of state (p = 0.088). This indicates that whether the data were collected during NREM or wake periods did not significantly impact ripple power and that the lack of a significant effect (in Figure 3G,H) in WAKE is probably not due to a difference in the distribution of ripple power between states.

      4D, y label is z?

      We are grateful for the reviewer to point that out, yes, the y label should be ‘z-score’, as the two traces represent z-scored 5-HT (blue) and z-scored shuffled data (orange). Figure 4D2 and Figure 2H1-2, which show similar data, have been corrected to address this oversight.

      Relating to Figure 4, EMG comparison across phases of the oscillations is insightful. Two related and complementary analyses are to compare the theta and gamma power between the falling and rising phases.

      We have addressed this suggestion in Figure S5 A-C. While low gamma, high gamma and theta power are modulated identically in NREM, with higher power observed during the falling phase than the rising phase, during WAKE, different patterns can be seen. Specifically, low gamma power shows no phase preference, while high gamma shows a peak near the center of the ultraslow 5-HT oscillation. Theta power, as in NREM, is higher during the falling phase of ultraslow 5-HT oscillations. Increased power across many frequency bands was shown to coincide with decreases in DRN population activity during NREM, which matches with what we report here (Kato et al. 2022). In summary, while NREM patterns are consistent in all frequency bands tested, aligning with the pattern of ripple incidence, in WAKE low and high gamma power show different relationships to ultraslow 5-HT phase.

      In the manuscript, we have used the data in both Figure S5 and S6 (unit activity relative to ultraslow 5-HT oscillations), to argue against the idea that our coherence findings result from a lack of activity in the rising phase (see next question), which would have the effect of ‘artificially’ reducing coherence in the falling phase relative the rising phase. The text can be found in Results: 5-HT and hippocampal cortical coherence, paragraph #2.

      The results presented in Figure 5 could be puzzling and need to be further discussed: if the ripple band activity is weak during the rising phase, in what circumstances the coherence between cortex and CA1 is specifically very strong in this band?

      As mentioned in the previous answer, we have addressed this concern in Results: 5-HT and hippocampal-cortical coherence, paragraph #2. In summary, it is true that the higher coherence in rising phase than in the falling phase for the highest frequency band (termed ‘high frequency oscillation’ (HFO), 100-150 Hz) could be unexpected, given that ripples occur largely during the falling phase. A few points could help explain this finding. Firstly, it should be noted that power in the 100-150 Hz band can arise from physiological activity outside of ripples, such as filtered non-rhythmic spike bursts (Liu et al. 2022), whose coherent occurrence in the rising phase could explain the coherence findings. Secondly, coherence is a compound measure which is affected by both phase consistency and amplitude covariation (Srinath and Ray 2014), thus from only amplitude one cannot predict coherence. Furthermore, HFO power in the cortex is highest near the peak of ultraslow 5-HT oscillations (Figure S5D), as opposed to the falling phase peak in the hippocampus. This shows a lack of covariation in amplitude by phase between the hippocampus and cortex at this frequency band. An alternative explanation of our findings regarding coherence could be that in the rising phase, there is simply little to no activity, which is easier to ‘synchronize’ than bouts of high activity. Hippocampal unit activity in the rising phase (Figure S6) suggests however, that it is not likely to be the absence of activity supporting higher coherence in the rising phase across frequencies. Additional experiments using high density recordings should be conducted to examine 5-HT ultraslow oscillations and their role in gating activity across brain regions, though these results strongly suggest some role exists.

      Reviewer #2 (Recommendations for the authors):

      I would like to offer two comments. I believe that these are not unusual requests, and thus I would like the authors to respond.

      (1) It would be prudent to investigate the possibility that the observed correlation between ultraslow and hippocampal ripples/microarousals is merely superficial and that there are unidentified confounding factors at play. For example, it would be beneficial to provide evidence that administering a serotonin receptor inhibitor result in the disappearance of the slow oscillation of ripples and microarousals, or that the correlation with ultraslow is no longer present. Please note that the former experiments do not require GRAB5-HT3.0 imaging.

      We agree that causality claims cannot be made with our data and acknowledge the interest in exploring causal interactions between ultraslow serotonin oscillations and the correlated activity we measure. We address this point in depth in our answer to Reviewer #2, Weaknesses #3. We would further like to note that given the large number of serotonin receptors and the lack of selectivity of many serotonin receptor antagonists, a pharmacological approach would be difficult, though the results certainly useful. Finally, we highlight the psilocin study, which reported changes in the rhythmic occurrence of microarousals, and therefore likely ultraslow oscillations, after administering a 5-HT2a receptor agonist, suggesting a potential causal effect of 5-HT (via 5-HT2a receptor) on MA occurrence (Thomas et al. 2022).

      (2) The slow frequency appears to be associated with the default mode network as observed in fMRI signals. The neural basis of the default mode network remains unclear; therefore, a more detailed examination of this possibility would be beneficial.

      We agree that it would be interesting to investigate the role of 5-HT in the neural basis of the DMN.

      The DMN as described in humans (Raichle et al. 2001) and rodents (Lu et al. 2012) may indeed include some parts of the hippocampus and perhaps some of our neocortical recordings could also be considered part of the DMN. The fact that the activity across the inter-connected brain structures of the DMN is correlated at ultraslow time scales (Gutierrez-Barragan et al. 2019, Mantini et al. 2007), as well as serotonin’s ability to modulate the DMN is intriguing (Helmbold et al. 2016). Further studies simultaneously recording DMN activity via fMRI and electrical activity via silicon probes, as done in Logothetis et al. 2001, could elucidate further a potential link between ultraslow oscillations and the DMN, with serotonergic modulation as a means to understand any potential contribution of serotonin.

      Reviewer #3 (Recommendations for the authors):

      (1) The impact of the study would benefit from an experiment causally testing the effect of hippocampal 5-HT levels on hippocampal physiology, e.g. using optogenetic manipulations.

      We agree that causality claims cannot be made with our data and acknowledge the interest in exploring causal interactions between ultraslow serotonin oscillations and the correlated activity we measure. We address this point in depth in our answer to Reviewer #2, Weaknesses #3.

      (2) Data presentation: the figures are of poor resolution, making some diagram details and, more importantly, some example traces (e.g. Figure 1A, right) impossible to see. This should be corrected by either increasing figure resolution or making important figure elements large enough to be readable.

      We apologize for the poor resolution and have corrected it in the updated version of the manuscript.

      (3) Differences in some figure panels are not statistically assessed: Figure 1H (differences in spectrum peak power), Figure 3E1 & Figure 3E3 (directional bias of the circular distributions), Figure 4C (difference from 0 mean).

      We acknowledge this oversight and have added statistical tests for all three figures, as well as further information regarding the models used in Methods: Statistics.

      (4) Lines 279-280: the claim that the study shows "organization of activity by ultraslow oscillations of 5-HT" implies a causal role of 5-HT in organizing hippocampal activity. I suggest that this statement be toned down to reflect the correlational nature of the presented evidence.

      We have rephrased the sentence in question to the following: “In our study, including both NREM and WAKE periods allowed us to additionally show that the temporal organization of activity relative to ultraslow 5-HT oscillations operates according to the same principles in both states...”, which we believe better reflects the temporal correlation we describe.

      (5) While the study claims to use the EMG (i.e. electromyograph) signal, it does not describe any electrodes placed inside the muscle in the methods section. The SleepScoreMaster toolbox used in the study estimates the EMG using high-frequency activity correlated across recording channels, so I assume this is how this signal was obtained. While such activity may well reflect muscular noise to some degree, it is an indirect measure as the electrodes are not in the muscle. Since the EMG signal is central to the message of the manuscript, the method for calculating it should be described in the methods section and it should be explicitly labelled as an indirect measure in the main text, e.g. by referring to this signal as pseudo-EMG.

      We agree and have added explanatory text to the State Scoring subsection in Methods. Given that the EMG we refer to is derived from intracranial data, and not from traditional EMG probes, we now refer to the EMG as intracranial EMG, or icEMG for short, throughout the main text.

      (6) Is ripple frequency or ripple duration different across the rising and falling phases of the ultraslow oscillation?

      We have now investigated this suggestion in Figure S4, where we show that ripple frequency is higher in the falling phase than rising phase, while ripple duration appears to show no phase preference.

      (7) Lines 315-317: I am not sure why the manuscript refers to the coupling between EMG and 5-HT levels as 'puzzling' given that, as stated, the locomotion-inducing effects of 5-HT are well documented. While the fact that even non-locomotory motor activity may be associated with 5-HT rise is certainly interesting (although not sure if 'puzzling'), the manuscript does not directly compare the association of 5-HT levels with locomotory and non-locomotory EMG spikes. Thus, I think this discussion point is not fully warranted.

      We agree and have rephrased the discussion point in question to reflect that the EMG link to serotonin oscillations is not necessarily surprising, given both the literature linking 5-HT and spontaneous movement in the hippocampus, as well as the involvement of 5-HT in repetitive movements, where the role for a regularly-occurring oscillation is perhaps more intuitive.

      (8) Line 441: Reference #67 does not describe the use of fiber photometry.

      The reviewer is to correct to point out this typo, which has been now corrected. The reference in question should be 64, where fiber photometry experiments are described. For further clarity, we have changed our referencing scheme to include authors and years in in-text references.

      (9) In Figures 3E1-3, the phase has different bounds than in the other Figures in the manuscript (0:360 vs -180:180), this should be corrected for consistency.

      We agree and have made changes so that all figures have a phase range of -180 to 180°.

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    1. Note de synthèse détaillée : L'Enseignement Explicite pour la Réussite Scolaire et la Gestion de Classe

      Cette note de synthèse s'appuie sur la conférence "Enseignement explicite : des pistes pour gérer les apprentissages et les comportements des élèves" pour présenter les thèmes principaux, les idées clés et les faits importants concernant l'enseignement explicite, en incluant des citations pertinentes.

      1. Introduction : Une double problématique et un enjeu sociétal

      La conférence aborde une double problématique touchant les élèves et les enseignants :

      Pour les élèves : Les difficultés scolaires et comportementales peuvent entraîner des problèmes d'apprentissage et un risque d'abandon scolaire sans qualification.

      Pour les enseignants : La gestion des apprentissages et la gestion de classe sont des défis majeurs, même pour les expérimentés, contribuant à la pénurie d'enseignants.

      Dans ce contexte, "la mise en œuvre de pratiques efficaces ça représente finalement un enjeu sociétal majeur pour favoriser la réussite du plus grand nombre d'élèves mais aussi la rétention des enseignants".

      L'enseignement explicite est présenté comme un cadre pertinent pour adresser ces deux facettes inséparables : la gestion des apprentissages et la gestion des comportements.

      "La gestion des apprentissages et la gestion des comportements représentent les deux phases d'une même pièce".

      2. Qu'est-ce que l'efficacité en éducation ?

      L'efficacité en éducation est définie non pas comme un gros mot, mais comme la capacité à atteindre un objectif. Se basant sur la définition de Bloom, l'efficacité de l'enseignement va au-delà de la simple sélection des talents.

      Pour Bloom, "les sociétés modernes optent pour le développement éducatif d'un plus grand nombre de personnes et toute société qui accorde une telle valeur à l'éducation ou à la scolarité jusqu'à obliger tout individu à consacrer à l'école une partie importante de sa vie elle ne peut se contenter de sélectionner des talents elle doit les développer".

      Un enseignement efficace, selon Bloom, doit :

      • Augmenter la moyenne des élèves de la classe.
      • Réduire la variance (différences de résultats) entre les élèves.
      • Diminuer la corrélation entre les résultats et les caractéristiques initiales (ex: origine sociale), rendant ainsi l'enseignement équitable.

      Pour la gestion de classe, l'efficacité est mesurée différemment : elle vise "à instaurer les conditions propices pour que les apprentissages puissent se réaliser", en augmentant l'attention des élèves et en diminuant les écarts de conduite.

      C'est la conjonction des stratégies d'apprentissage et de gestion de classe qui permet d'améliorer les apprentissages et le cadre d'apprentissage.

      3. Les fondements de l'enseignement explicite : Une approche basée sur la recherche

      L'enseignement explicite n'est pas une théorie isolée, mais le fruit de décennies de recherches :

      • Recherches corrélationnelles : Observation des comportements des enseignants et des résultats des élèves, identifiant des pratiques liées à une meilleure réussite (ex: révisions, démonstration, pratique guidée).

      • Recherches expérimentales : Formation d'un groupe d'enseignants à ces pratiques prometteuses et comparaison avec un groupe contrôle, démontrant un lien de cause à effet.

      • Méta et méga-analyses : Synthèse de nombreuses recherches expérimentales, confirmant "l'efficacité d'un enseignement explicite pour aider les élèves et en particulier ce en difficulté", mais aussi pour les élèves ayant plus de facilité, et ce, à tous les âges.

      L'enseignement explicite est une "importante base de connaissance qui a été minutieusement conçue", s'étendant des années 70-80 jusqu'à nos jours, et aucune recherche n'a fondamentalement remis en cause son efficacité.

      Il repose sur une triple concordance :

      • Efficacité démontrée par les recherches pédagogiques.

      Recherches en psychologie cognitive :

      • Distinction apprentissages naturels/secondaires : Certains apprentissages (lire, calculer, écrire) sont "secondaires" et nécessitent un enseignement formel et explicite, contrairement aux apprentissages naturels (marcher, reconnaître des visages).

      • Charge cognitive : L'enseignement explicite tient compte de la charge cognitive.

      L'effet du problème résolu (Cooper et Swiller, 1987) montre que les élèves étudiant un problème résolu performant mieux et peuvent expliquer leur démarche, contrairement à ceux en résolution de problèmes classique qui peuvent réussir sans comprendre le cheminement.

      • Définition conceptuelle robuste : Les concepts et stratégies sont concrets, opérationnels et réplicables.

      4. Clarifications et définitions de l'enseignement explicite

      Le terme "explicite" signifie "ouvert à la compréhension, pas obscur ni ambigu".

      John Hattie utilise les termes "visible teaching" et "visible learning", soulignant que l'enseignement doit être visible pour les élèves et que leur apprentissage doit être rendu visible pour l'enseignant.

      L'enseignement explicite est "une combinaison de comportements conçus pour promouvoir l'apprentissage des élèves".

      Il est important de ne pas le confondre avec d'autres terminologies :

      • "Instruction directe" (minuscules) : Peut désigner l'enseignement explicite ou d'autres approches, voire tout enseignement mené par le maître.

      • "Direct Instruction" (majuscules ou DI) : Approche très formalisée créée par Engelmann où les enseignants suivent un script, différente de l'enseignement explicite où les enseignants conçoivent leurs leçons.

      Le terme "enseignement explicite" est utilisé depuis 1986 par Rosensteine, formalisant l'approche à partir des recherches.

      Un synonyme apprécié est "Active Teaching", soulignant une approche très active pour l'enseignant et les élèves.

      5. Stratégies de gestion des apprentissages : Les cinq étapes de la leçon explicite

      L'enseignement explicite s'inscrit dans le modèle de réponse à l'intervention (RTI), qui propose des stratégies universelles (palier 1) bénéficiant à 80% des élèves.

      Il met l'accent sur la phase d'interaction et la planification, ainsi que la consolidation (pour contrer la courbe de l'oubli).

      Les cinq étapes fondamentales d'une leçon d'enseignement explicite sont :

      Ouverture de la leçon :

      • But : Capter l'attention, présenter les objectifs et leur utilité, rappeler les connaissances préalables.

      • Stratégies : Signal non verbal, énoncé clair de l'objectif, explication de l'utilité dans la vie quotidienne et future scolarité (ex: inférences en lecture). Vérification fine de la compréhension et rétroactions de qualité. Réenseignement des prérequis si nécessaire.

      Modelage (Je te montre) :

      • But : Montrer et expliquer comment réaliser la tâche, en "mettant un haut-parleur sur sa pensée".

      • Stratégies : Verbaliser le raisonnement (étapes, questions, pièges à éviter). Montrer des exemples et contre-exemples. C'est une étape riche qui développe la métacognition. "Elle est parfois mal comprise et assimilée à tort à une sorte uniquement d'exposé". C'est une étape brève (quelques minutes).

      Pratique guidée (On le fait ensemble) :

      • But : Les élèves réalisent des tâches similaires sous la supervision active de l'enseignant, dialoguent et explicitent leur cheminement.

      • Modalités :Collective : Choisir des élèves au hasard pour refaire la tâche en explicitant.

      • En binômes (enseignement réciproque) : Les élèves s'expliquent mutuellement comment ils ont fait.

      • Stratégies clés :Consignes claires.

      • Vérification de la compréhension (plus pertinente que "avez-vous compris ?" : "si je prenais le temps maintenant de m'arrêter de choisir quelqu'un et lui demander de me reformuler ce qui est une métaanalyse ben là j'aurai beaucoup plus d'informations sur sa compréhension").

      • Désignation aléatoire des élèves : Pour augmenter l'attention et répartir équitablement la parole.

      • Rétroactions de qualité : Fournir des informations sur la production et comment l'améliorer, et former les élèves à l'auto-feedback et au feedback mutuel (métacognition).

      • Aide si besoin : Rappels, listes d'étapes.

      • Test formatif : Avant de passer à la pratique autonome, s'assurer que les élèves ont atteint un seuil de réussite (80%). Les autres restent en pratique guidée ou reçoivent un réenseignement.

      Pratique autonome (Tu le fais seul) :

      • But : Consolider les nouvelles connaissances en mémoire. L'aide de l'enseignant est réduite mais il continue de vérifier la compréhension et de fournir de l'aide.

      • Stratégies : Suffisamment d'exercices variés, incluant des exercices de transfert. Le seuil de réussite visé est de 90 à 95% de réponses correctes.

      Clôture :

      • But : Synthétiser les apprentissages, prendre du recul, poursuivre la pratique et introduire la prochaine leçon en explicitant les liens.

      • Stratégies : Questions métacognitives ("Qu'a-t-on appris aujourd'hui ?", "À quoi ça sert ?"), rétroactions riches, introduction de l'objectif de la prochaine leçon.

      • Différenciation : Ces étapes ne sont pas linéaires mais itératives. L'enseignant peut revenir à une étape précédente si nécessaire (ex: refaire un modelage ou une pratique guidée pour des élèves en difficulté).

      Cela permet une différenciation basée sur l'observation objective des besoins des élèves, rendant l'approche "beaucoup plus réaliste que l'idée de se dire qu'on va différencier de manière un peu finalement même à l'aveugle".

      6. Stratégies de gestion des comportements : Mieux vaut prévenir que guérir

      Le principe fondamental est que "mieux vaut prévenir que guérir".

      Les enseignants efficaces mettent en œuvre environ 80% d'interventions préventives et seulement 20% d'interventions réactives.

      La punition n'est pas la seule option corrective, et d'autres stratégies sont à privilégier.

      Les gestes professionnels fondamentaux incluent :

      Relations positives :

      • Stratégies concrètes : S'intéresser aux élèves, discuter avec eux, les accueillir. "Le positif finalement attire le positif".

      • Attentes élevées : Croire au potentiel de tous les élèves, sans se fier aux préjugés.

      • Outil "Efforts et stratégies" : La réussite dépend des efforts des élèves et des stratégies fournies par l'enseignant. "Je bannis de mon vocabulaire les mots faciles et difficiles".

      • Environnement sécurisant et enseignement explicite des comportements :

      • Justification : L'éducation aux comportements est aussi le rôle de l'école, car tous les élèves n'ont pas appris ces codes à la maison.

      Cela fait gagner du temps à long terme en réduisant les problèmes. "Si un élève ne sait pas lire, on va lui apprendre à lire... mais s'il ne sait pas se comporter, est-ce qu'on va lui apprendre ou est-ce qu'on va le punir ?".

      • Matrice comportementale : Choisir 3 valeurs (ex: respect, responsabilité, solidarité) et identifier les comportements positifs attendus dans les différentes activités/lieux (formuler en "je" et de manière positive).

      • Enseigner les comportements : Appliquer les cinq étapes de l'enseignement explicite pour les comportements, en contexte réel (ex: dans le couloir, dans le bus).

      • Ouverture : Présenter la valeur et la règle, son importance.

      • Modelage : Montrer le comportement attendu (ex: marcher calmement, donner une rétroaction). Inclure des contre-exemples humoristiques.
      • Pratique guidée : Les élèves pratiquent les comportements attendus devant l'enseignant, qui donne des rétroactions sur leur comportement par rapport aux valeurs.
      • Pratique autonome : Non explicitée mais implicite dans la consolidation.
      • Clôture : Non explicitée.

      Encadrement et supervision des élèves :

      • Stratégies : Superviser constamment du regard, "marcher la classe de manière imprévisible" pour augmenter la prévention des écarts de conduite.

      Renforcement positif :

      • Importance : Dire aux élèves que leur comportement est bon est essentiel pour le maintenir. Le renforcement verbal est prioritaire, mais des renforcements tangibles (étiquettes, jetons échangeables contre des privilèges) sont aussi efficaces.
      • Principe : "On ne retire jamais de points on s'en sert uniquement pour dire aux élèves ce qui est bien". Les écarts de conduite sont gérés par un autre système.
      • Organisation de la classe :
      • Stratégies : Disposer le mobilier pour une visibilité et une circulation aisées, préparer le matériel à l'avance. "Au plus ma classe est organisée au moins aussi il va y avoir de de place pour des écarts de conduite".

      • Enseignement efficace (en tant que stratégie préventive) :

      • Les cinq étapes de l'enseignement explicite, lorsqu'appliquées aux matières académiques, "augmentent l'attention des élèves parce que c'est une approche qui les sollicite constamment".

      Cela contribue directement à une meilleure gestion de classe.

      7. Gestion des écarts de conduite : Interventions correctives

      Les interventions correctives sont hiérarchisées et visent à être les plus discrètes et à moindre coût.

      Une distinction est faite entre :

      • Écart de conduite mineur : Ne perturbe pas l'enseignement ni l'apprentissage des autres (ex: bavardage léger).

      • Écart majeur : Nécessite une intervention plus forte, potentiellement le retrait temporaire de l'élève (ex: bagarre).

      Stratégies pour les écarts mineurs (du plus discret au plus direct) :

      • Proximité physique.

      • Contact physique (ex: main sur le bureau).

      • Signal sonore (ex: raclement de gorge).

      • Ignorer momentanément et féliciter un autre élève ayant un bon comportement ("quatre interventions positives si possible pour une négative").

      • Rediriger : Rappeler brièvement le comportement attendu.

      • Réenseigner le comportement (avec les 5 étapes).

      • Offrir un choix (ex: écouter ou conséquence).

      • Conséquences formatives : Réparer (ex: nettoyer ce qui a été sali, s'excuser).

      • Isolement avec activité réflexive : Demander à l'élève d'observer et de décrire les bons comportements de ses pairs.

      • Rencontre en face-à-face hors du cours pour comprendre les raisons du comportement.

      • La punition (ex: recopier un texte) est une option si aucune stratégie constructive n'est trouvée, mais elle "n'apprend nullement le comportement qui est attendu de lui". L'objectif est d'apprendre à l'élève le comportement attendu.

      Gestion des écarts majeurs : Dépend fortement de la politique d'école (plan d'intervention, schéma de procédure) car l'enseignant seul est limité.

      Un exemple d'étude récente sur le soutien au comportement positif (PBIS) montre une diminution significative des écarts de conduite majeurs dans les écoles appliquant ce système sur plusieurs années.

      8. Conclusion

      L'enseignement explicite est une "approche pédagogique concrète qui favorise la réussite des élèves et la mise en place d'un climat propice aux apprentissages".

      C'est une série de stratégies concrètes pour la gestion des apprentissages et des comportements, pour lesquelles il est possible de se former.

    1. Compte-rendu : L'Évolution du Rôle des Directions d'Établissement et la Formation au Pilotage

      Ce document de synthèse est basé sur l'épisode 54 des "Cafés de l'INAS", qui poursuit la réflexion amorcée lors de la journée d'étude marquant les 10 ans du "Pacte pour un enseignement d'excellence".

      Il met en lumière les discussions avec des acteurs impliqués dans la formation des directions d'école en Belgique francophone, notamment Christine Joris (référente de la cellule d'appui pédagogique au CECP) et Jean Castin (chercheur, formateur, accompagnateur à l'Université de Mons et l'INAS).

      1. Contexte et Objectifs

      L'émission s'inscrit dans un contexte de profonde transformation du paysage éducatif belge francophone, où les politiques de pilotage redéfinissent le rôle des directions d'établissement.

      L'objectif est de comprendre les liens entre les directions d'école et de recueillir leurs perceptions sur un métier devenu "plus exigeant et plus complexe".

      2. Types de Formation des Directions d'École

      Les formations se déclinent en deux grands types :

      • Formation initiale des directeurs : Composée de trois volets, elle inclut des modules pédagogiques, relationnels et un module d'intégration/accompagnement à l'entrée en fonction. Jean Castin est particulièrement investi dans ces modules à l'Université de Mons.

      • Formation continue : Destinée aux directeurs en cours de carrière.

      Christine Joris est concernée par le volet réseau et l'axe pédagogique de la formation initiale.

      3. L'Intégration du Pilotage dans les Formations

      Depuis 2018, la formation pédagogique a été profondément revue pour axer les modules sur le modèle du pilotage.

      • Approche interactive et contextualisée : Les modules partent d'"analyse de cas", d'"analyse de données" et sont "très interactifs", rompant avec la "formation descendante".

      L'objectif est de "donner du sens à toute cette réforme" en liant les actions pédagogiques au plan de pilotage de l'établissement.

      • Développement de la capacité d'analyse et de la réflexion systémique : Un axe majeur est d'apprendre aux directions à "s'arrêter, à regarder la situation, à l'évaluer, à essayer de comprendre ce qui se passe avant de poser des axes". Il s'agit de les aider à "aller au-delà de ce qui de ce qu'on voit en premier lieu".

      • Positionnement et leadership : Les formations travaillent sur la manière dont le directeur "se positionne dans le système", notamment à travers l'exercice de son leadership.

      L'objectif est de le rendre capable de "mobiliser son équipe et faire en sorte que ben il ne soit pas le seul acteur de l'école mais que son équipe soit partie prenante du travail".

      4. L'Évolution vers un Leadership Partagé et Distribué

      Le leadership partagé est une "demande institutionnelle" et une nécessité sur le terrain.

      Injonction institutionnelle et adaptation : Il est attendu des directeurs qu'ils exercent un "leadership partagé distribué".

      Les formations les aident à "réfléchir à la manière dont ils exercent naturellement leur leadership et aussi de pouvoir on va dire adapter leur leadership aux situations qu'ils rencontrent".

      Nécessité pragmatique : Christine Joris souligne que "le directeur ne peut plus être à la barre de tout au niveau de du pilotage de son école et donc forcément effectivement il distribue enfin ce leadership partagé se met en place et se distribue".

      Cette évolution a donné du sens à la demande institutionnelle pour les directeurs.

      5. Surprises et Évolutions dans l'Approche des Directeurs

      Au fil des dix dernières années, l'approche des directeurs a évolué positivement.

      Passage de la conformité au besoin : Initialement, la demande institutionnelle était très présente et les directeurs cherchaient à être conformes.

      Aujourd'hui, on observe un passage à une motivation intrinsèque : "maintenant on est plus dans une on y va parce qu'on en a besoin".

      Prise de sens et confortement : Jean Castin note que "beaucoup de directions maintenant mettent beaucoup plus de sens dans ce qu'ils font" et ont compris que le travail demandé "pouvait les aider les servir et pouvait cadrer la manière dont ils pilotaient leur école avec leurs équipes".

      L'idée d'un "sens plus construit et partagé avec les autres de leur équipe" conforte les choix institutionnels.

      6. Besoins Particuliers des Directions en Formation La formation actuelle est jugée insuffisante pour couvrir tous les besoins des directeurs.

      • Accompagnement au transfert et temps : Il existe un besoin d'accompagnement pour "faire ce transfert" entre la formation et la réalité du terrain, et un besoin de "temps pour installer les choses" car les transformations ne se font pas du jour au lendemain.

      • Difficultés relationnelles et communication : Un besoin majeur identifié par Jean Castin concerne les "difficultés relationnelles" (parents, élèves, équipe, extérieur) auxquelles les directeurs sont confrontés sans prévenir.

      D'où un besoin de "continuer à se former au niveau du développement de leurs compétences relationnelles" et de la "communication" pour "pacifier les choses à certains moments". Ce besoin est généralisé à toutes les directions.

      • Temps réflexif et analyse de pratique : Les directeurs apprécient énormément les "temps de s'asseoir, un temps d'arrêt de réfléchir à leur pratique, d'avoir ce temps réflexif sur leur manière d'agir". Ce temps d'analyse de pratique est considéré comme manquant dans le système.

      • Codéveloppement et communautés de pratique : Les ateliers de codéveloppement, où les directions se réunissent et choisissent leur thématique, rencontrent un grand succès. Ils répondent au besoin d'être "un peu moins isolés", constituant des "communautés de pratique professionnelle".

      7. Frustrations et Défis des Directions

      Le principal défi est le manque de temps et la surcharge de travail, qui entravent le pilotage réel.

      • Surcharge et "lasagne des injonctions institutionnelles" : Les directeurs se disent "noyés" par les "injonctions institutionnelles" et les "interactions" quotidiennes. Jean Castin parle de "lasagne des injonctions institutionnelles".

      • Gestion à court terme vs. pilotage : Cette surcharge conduit les directeurs à ne faire que "ce qu'on leur demande de faire, de la gestion à très court terme", ce qui n'est pas du pilotage. Il y a "très peu de vue à moyen terme, à long terme, de régulation, d'une mise en projet".

      • Impossibilité de piloter : Pour Jean Castin et ses collègues chercheurs, les directions sont "dans l'impossibilité de piloter" compte tenu du contexte et de la situation actuelle.

      Christine Joris confirme qu'ils sont "tout le temps dans la réponse, dans l'action-réponse" et n'ont plus "ce temps de recul pour pouvoir se poser" et avoir des "temps de réflexion, des temps d'analyse".

      8. Évolutions Positives et Tendances Encourageantes

      Malgré les défis, des évolutions positives sont observées chez les directions.

      • Volonté et motivation : Les directeurs sont jugés "très volontaires et très motivés" en formation initiale, avec une "prise de conscience de toute l'étendue" de leur nouveau métier et une "vraie volonté de bien faire les choses".

      • Nécessité du pilotage : Il y a une prise de conscience accrue de la "nécessité de piloter l'établissement", d'avoir "réellement un pilote dans l'avion de l'école". Par le passé, les directeurs étaient plus "purement dans l'organisationnel".

      • Développement de la réflexion pédagogique : Jean Castin observe avec satisfaction que les directeurs "développent une réflexion pédagogique".

      Ils "remettent l'enfant au cœur de leur réflexion et ils emmènent leur équipe à réfléchir à remettre en question leur pédagogie, à évoluer".

      Cette évolution, bien qu'ils ne puissent abandonner totalement l'obsession organisationnelle, est un point positif majeur.

      • En conclusion, si le métier de direction d'école est devenu plus exigeant et complexe, notamment en raison de la surcharge de travail et des injonctions, les formations ont permis une meilleure appropriation du concept de pilotage et une évolution positive des directeurs vers un leadership partagé et une réflexion davantage axée sur le pédagogique.

      Cependant, des besoins importants subsistent, notamment en matière d'accompagnement, de gestion relationnelle et de temps dédié à la réflexion et au pilotage stratégique.

    1. Compte Rendu Détaillé : Les Niveaux d'Explication et les Levers de Changement Comportemental face à la Crise Climatique (d'après le neuroscientifique Moukheiber à l'Académie du Climat)

      • Ce document de briefing synthétise les points clés et les arguments principaux développés par le neuroscientifique Moukheiber lors de son intervention à l'Académie du Climat, en se concentrant sur les niveaux d'explication des phénomènes et les stratégies efficaces pour induire un changement comportemental, notamment en lien avec la transition écologique.

      1. La Faillite du Niveau d'Explication Cérébral et Individualiste pour les Problèmes Sociétaux

      Moukheiber insiste sur la nécessité de choisir le "bon niveau explicatif" pour comprendre un phénomène.

      Il utilise l'analogie d'un accident de voiture : chercher la cause au niveau atomique de la carrosserie est absurde si la cause réelle est le verglas ou l'alcoolémie du conducteur.

      De même, réduire des comportements complexes, comme ceux liés à la transition écologique, au seul fonctionnement du cerveau est une erreur fondamentale.

      • Le Mythe du "Cerveau Seul" et la Cognition Incarnée : Le neuroscientifique critique le "tour de passe-passe cognitif" qui a remplacé l'esprit par le cerveau, traitant ce dernier comme une entité isolée.

      Il promeut le concept de cognition incarnée, un courant majeur en neuroscience qui stipule que le comportement humain doit être analysé à travers un "triptyque" : le cerveau, l'état du corps (sommeil, faim, douleurs, etc.), et l'environnement/contexte.

      • Citation : "On pourra jamais expliquer le comportement d'un humain juste en regardant son cerveau

      Il faut regarder tout le temps un triptique le cerveau l'état du corps... et l'environnement le contexte dans lequel cet agent incarné qui est l'humain est en train d'évoluer."

      • L'Exemple des Fast-Foods : Plutôt que d'expliquer la consommation de fast-food par le cerveau des jeunes, le bon niveau explicatif est "l'organisation des villes qui ont mis des McDo à chaque coin de rue."

      Cela illustre que des phénomènes comme l'anxiété sociale peuvent relever du cerveau, mais d'autres, comme la surconsommation, sont des "propriétés émergentes" liées à des facteurs macro.

      • Le Refus de la Réduction au Cerveau : La complexité de nos rapports à la transition écologique ne peut être attribuée "simplement au fonctionnement de nos cerveaux."

      Il remet en question la tendance à sur-responsabiliser l'individu et son cerveau pour des problèmes systémiques.

      2. Le Modèle du Déficit Informationnel est "Profondément Fallacieux"

      Moukheiber dénonce avec force l'idée que les gens n'agissent pas pour le climat par manque d'information, qu'il nomme le modèle du déficit informationnel.

      • L'Inefficacité de la Pédagogie Seule : Des milliards ont été dépensés en campagnes de sensibilisation, notamment sur la cigarette ou le climat, avec des résultats limités.

      • Citation : "On a dépensé des milliards... Les hommes et les femmes politiques [disent] que si on s'oppose à une loi c'est qu'on a c'est qu'il faut faire de la pédagogie

      Les Français n'ont pas compris C'est vraiment l'arbre qui cache la forêt c'est ça revient tout le temps à une cette sorte de surres de l'individu

      Si les gens ne sont pas en train de prendre moins à l'avion c'est parce qu'ils ont pas compris S'ils sont encore en train de manger de la viande c'est parce qu'ils ont pas compris Alors que c'est pas vrai."

      • La Dissonance Cognitive : Bien que la dissonance cognitive (savoir qu'une action est mauvaise mais la faire quand même) soit un phénomène réel, les neurosciences, au travers du cadre de la cognition incarnée, ne suggèrent pas que la solution réside dans plus de pédagogie individuelle.

      3. L'Importance des "Conditions Facilitantes" et des Actions Systémiques

      Le neuroscientifique met en lumière le pouvoir des "conditions facilitantes" (enabling conditions) et des "propriétés émergentes" pour modifier les comportements à grande échelle.

      • L'Exemple du Tabac : L'interdiction de fumer en intérieur et l'augmentation des prix ont eu un impact bien plus significatif sur la consommation de tabac que des années de campagnes de sensibilisation.

      • Citation : "À un moment on a fait quelque chose à un niveau supérieur dans ces niveaux explicatifs On a passé une loi deux lois principalement une loi qui a augmenté le le prix une deuxième loi qui a interdit de fumer en intérieur

      Et là tout d'un coup le taux de nouveau fumeur à toutes les tranches d'âge commença à diminuer."

      • Le Climat : Une Problématique Systémique : Les comportements néfastes pour le climat ne relèvent pas du niveau individuel, mais de l'organisation des villes, des tarifs, des salaires, et des lois.

      • Citation : "Les comportements qu'on a qui sont délétaires pour la transition écologique ne se jouent pas au niveau de l'individu il se joue au niveau de l'organisation des villes des tarifs des salaires des lois qu'on est en train de faire passer

      Et tant qu'on va essayer de tout toute la pédagogie du monde tout l'esprit critique du monde ne suffira pas à inverser la tendance tant qu'on veut juste agir au niveau de l'individu."

      • Le Conseil aux Partis Écologistes : Moukheiber conseillerait d'« arrêter d'avoir une grille de lecture individualiste ». Les initiatives individuelles sont une "goutte d'eau dans l'océan" face à un problème systémique.

      L'impact réel vient de l'influence sur des acteurs systémiques (ex: convaincre Tim Cook de modifier le cycle de vie des iPhones plutôt que 300 000 individus).

      4. La Nuance de la Dérégulation et de la Responsabilité Individuelle

      Moukheiber anticipe l'objection de la "déresponsabilisation" de l'individu.

      • Une Part de Responsabilité Individuelle Minime : Il reconnaît qu'il y a une part de responsabilité individuelle (trier ses déchets, moins prendre l'avion, moins manger de viande, consommer local).

      • Citation : "Il y a comme une part des choses qui est de ma responsabilité Trier c'est c'est minime C'est c'est c'est une goutte d'eau dans l'océan de ce qu'on doit faire."

      • Le But du Comportement Individuel : Un Signal Social : Le but de ces actions individuelles n'est pas d'inverser directement la tendance de la destruction climatique, mais d'envoyer un "signal social pour qu'il y ait systématisation", de créer une "norme sociale" qui puisse ensuite se traduire par des changements plus macro (ex: interdire la pub pour le tabac).

      5. Stratégies de Changement Comportemental : Au-delà de l'Explication Rationnelle

      Face au déni ou à la résistance, Moukheiber suggère des approches alternatives à la seule explication rationnelle.

      • Questionner la Motivation : Avant d'expliquer, il faut se demander "pourquoi vous voulez leur expliquer ?" Si l'objectif est un changement de comportement, l'explication seule est souvent inefficace.

      • L'Action Avant la Compréhension : Il a réussi à changer des comportements sans mentionner le climat, en proposant des alternatives attrayantes.

      • Exemple : Emmener un ami dans un restaurant végétarien sans dire que c'est végétarien, le laissant découvrir et apprécier par lui-même.

      • Adapter le Message : L'approche doit être différente selon la personne (expliquer le cycle de l'eau à un enfant vs. parler politique à un oncle de 65 ans).

      • Le Rôle des Normes Sociales et des Tendances : Une grande partie de nos comportements ne découlent pas d'un fonctionnement rationnel ("homo économicus") mais de ce que font nos pairs, de la disponibilité, et des effets de mode (ex: la quinoa, le chou kale).

      • Citation : "Une grande partie de nos comportements ne viennent pas d'un fonctionnement rationnel... On fonctionne selon ce que font les les nos potes Euh qu'est-ce qui est disponible."

      • La "Manipulation" comme Levier (non péjoratif) : Le neuroscientifique conclut que parfois, il suffit de "manipuler" les conditions ou les choix pour modifier les comportements, reconnaissant que nous nous "manipulons les uns les autres" constamment.

      Cela implique de créer les environnements et les incitations qui favorisent les comportements souhaités, plutôt que de s'appuyer uniquement sur la conviction intellectuelle.

      • Citation : "Il suffit de manipuler Vous avez bien compris ouais On est tous en train de se manipuler de toute façon les uns les autres."

      En somme, Moukheiber plaide pour un changement de paradigme dans l'approche de la transition écologique, délaissant l'individualisme et la survalorisation de la pédagogie au profit d'une compréhension plus nuancée des niveaux d'explication et d'une action prioritairement orientée vers les leviers systémiques et les "conditions facilitantes".

    1. Author response:

      The following is the authors’ response to the previous reviews.

      Reviewer 1:

      We would like to thank Reviewer 1 for recognising the importance of our findings on the heterogeneity in bacterial responses to tachyplesin.

      (1) A double deletion of acrA and tolC (two out of the three components of the major constitutive RND efflux pump) reduces the appearance of the low accumulator phenotype, but interestingly, the single deletions have no effect, and a well-characterised inhibitor of RND efflux pumps also has no effect. The authors identify a two-component system, qseCB, that appears necessary for the appearance of low accumulators, but this system has pleiotropic effects on many cellular systems, with only tenuous connections to efflux. The selected pharmacological agents that could prevent the appearance of low accumulators do not offer clear insight into the mechanism by which low accumulators arise, because they have diverse modes of action.

      We have added that “QseBC, was previously inferred to mediate resistance to a tachyplesin analogue by upregulating efflux genes based on transcriptomic analysis and hyper susceptibility of ΔqseBΔqseC mutants[113]”. However, we have also acknowledged that “it is conceivable that the deletion of QseBC has pleiotropic effects on other cellular mechanisms involved in tachyplesin accumulation.” and that “it is also conceivable that sertraline prevented the formation of the low accumulator phenotype via efflux independent mechanisms”

      These amendments are reported on lines 525-527, 532-534 and 539-541 of our revised manuscript.

      (2) The transcriptomics data collected for low and high accumulator sub-populations are interesting, but in my opinion, the conclusions that can be drawn from these data remain overstated. It is not possible to make any claims about the total amount of "protein synthesis, energy production, and gene expression" on the basis of RNA-Seq data. The reads from each sample are normalised, so there is no information about the total amount of transcript. Many elements of total cellular activity are post-transcriptionally regulated, so it is impossible to assess from transcriptomics alone. Finally, the transcriptomic data are analysed in aggregated clusters of genes that are enriched for biological processes, for example: "Cluster 2 included processes involved in protein synthesis, energy production, and gene expression that were downregulated to a greater extent in low accumulators than high accumulators". However, this obscures the fact that these clusters include genes that are generally inhibitory of the process named, as well as genes that facilitate the process.

      We have now acknowledged that “that our data do not take into account post-transcriptional modifications that represent a second control point to survive external stressors.”

      These amendments are reported on lines 534-535 of our revised manuscript.

      The raw transcript counts can be found in Figure 3 – Source Data, we had added these data in our previous manuscript as requested by this reviewer.

      We would also like to clarify that we have analysed our transcriptomic data via both clustering (i.e. Figure 3) and direct comparison of genes of interest (Table S1) and transcription factors (i.e. genes that are generally inhibitory of the process named, as well as genes that facilitate the process, Figure S12).

      Finally, we would like to point out that in our revised manuscript (both this and its previous version) we are stating “Cluster 2 included processes involved in protein synthesis, energy production, and gene expression that were downregulated to a greater extent in low accumulators than high accumulators”. We do not think this is an overstatement, we do not use these data to make conclusions on the total amount of "protein synthesis, energy production, and gene expression".

      (3) The authors have added an experiment to attempt to assess overall metabolic activity in the low accumulator and high accumulator populations, which is a welcome addition. They apply the redox dye resazurin and observe lower resorufin (reduced form) fluorescence in the low accumulator population, which they take to indicate a lower respiration rate. This seems possible, however, an important caveat is that they have shown the low accumulator population to retain substantially lower amounts of multiple different fluorescent molecules (tachyplesin-NBD, propidium iodide, ethidium bromide) intracellularly compared to the high accumulator population. It seems possible that the low accumulator population is also capable of removing resazurin or resorufin from the intracellular space, regardless of metabolic rate. Indeed, it has previously been shown that efflux by RND efflux pumps influences resazurin reduction to resorufin in both P. aeruginosa and E. coli. By measuring only the retained redox dye using flow cytometry, the results may be confounded by the demonstrated ability of the low accumulator population to remove various fluorescent dyes. More work is needed to strongly support broad conclusions about the physiological states of the low and high accumulator populations. The phenomenon of the emergence of low accumulators, which are phenotypically tolerant to the antimicrobial peptide tachyplesin, is interesting and important even if there is still work to be done to understand the mechanism by which it occurs.

      We have now clarified that these assays were performed in the presence of 50 μM CCCP and that “CCCP was included to minimise differences in efflux activity and preserve resorufin retention between low and high accumulators, though some variability in efflux may still persist.” We have now added this information on lines 401-406. This information was only present in the caption of Figure S16 of our previous version of this manuscript.

      We agree with the reviewers that more work needs to be done to fully understand this new phenomenon and we had already acknowledged in our previous version of this manuscript that other mechanisms could play a role in this new phenomenon, see lines 489-517 of the current manuscript.

      Reviewer 2:

      We would like to thank the reviewer for recognising that all their previous comments have now been satisfactorily addressed.

      (1) Some mechanistic questions regarding tachyplesin-accumulation and survival remain. One general shortcoming of the setup of the transcriptomics experiment is that the tachyplesin-NBD probe itself has antibiotic efficacy and induces phenotypes (and eventually cell death) in the ´high accumulator´ cells. As the authors state themselves, this makes it challenging to interpret whether any differences seen between the two groups are causative for the observed accumulation pattern of if they are a consequence of differential accumulation and downstream phenotypic effects.

      We agree with the reviewer and we had explicitly acknowledged this possibility on lines 281-285 (of the previous and current version of this manuscript).

      (2) The statement ´ Moreover, we found that the fluorescence of low accumulators decreased over time when bacteria were treated with 20 μg mL´ is, in my opinion, not supported by the data shown in Figure S4C. That figure shows that the abundance of ´low accumulator´ cells decreases over time. Following the rationale that protease K treatment may cleave surface associated/ extracellular tachyplesin-NDB, this should lead to a shift of ´low accumulator´ population to the left, indicating reduced fluorescence intensity per cell. This is not so case, but the population just disappears. However, after 120 min of treatment more cells appear in the ´high accumulator´ state. This result is somewhat puzzling.

      We agree with the reviewer that our previous discussion of this data could have been misleading. We have now reworded this part of the text as following: “We found that the fluorescence of high accumulators did not decrease over time when tachyplesin-NBD was removed from the extracellular environment and bacteria were treated with 20 μg mL<sup>-1</sup> (0.7 μM) proteinase K, a widely-occurring serine protease that can cleave the peptide bonds of AMPs [43–45] (Figure S4B and C). These data suggest that tachyplesin-NBD primarily accumulates intracellularly in high accumulators.”

      It is conceivable that extended exposure to proteinase K (i.e. we see a decrease in the abundance of low accumulators after 90 min treatment with proteinase K) increased the permeability to tachyplesin-NBD of low accumulators allowing tachyplesin-NBD to move from either the extracellular space or the membrane to the cell interior. However, we do not have data to prove this point.

      Therefore, we have now removed our claim that the data obtained using proteinase K suggest that tachyplesin-NBD accumulates primarily in the membranes of low accumulators. We believe that our two separate microscopy analyses provide more direct, stronger and less ambiguous evidence that tachyplesin-NBD accumulates primarily in the membranes of low accumulators.

      (3) The authors used the metabolic dye resazurin to measure the metabolic activity of low vs. high accumulators. I am not entirely convinced that the lower fluorescence resorufin fluorescence in tachyplesin-NBD accumulators really indicates lower metabolic activity, since a cell's fluorescence levels would also be affected by the cellular uptake and efflux. It appears plausible that the lower resorufin-fluorescence may result from reduced accumulation/increased efflux in the ‘low-tachyplesin NBD´ population.

      We have now clarified that these assays were performed in the presence of 50 μM CCCP and that “CCCP was included to minimise differences in efflux activity and preserve resorufin retention between low and high accumulators, though some variability in efflux may still persist.” We have now added this information on lines 401-406. This information was only present in the caption of Figure S16 of our previous version of this manuscript.

      (4) P8 line 343. The text should refer to Figure. 13B, instead of 14B

      We have now changed the text accordingly on line 337.

      Reviewer 3:

      We would like to thank the reviewer for recognising that we have done a very impressive job in taking care of their comments.

      (1) Despite these advances, the contribution of efflux may require more direct evidence to further dissect whether efflux is necessary, sufficient, or contributory. The facts that the key low efflux mutant still retains a small fraction of survivors and that the inhibitors used may cause other physiological changes leading to higher efflux are still unaccounted for. The lipidomic and vesicle findings, while intriguing, remain descriptive, and direct tests of their functional relevance would further solidify the mechanistic models.

      We agree with the reviewers that more work needs to be done to fully understand this new phenomenon and we had already acknowledged in our previous version of this manuscript that other mechanisms could play a role in this new phenomenon, see lines 489-517 of the current manuscript.

    1. Compte rendu détaillé : Agir pour l'Éducation

      Ce document de synthèse présente les thèmes principaux et les faits les plus importants abordés lors du webinaire "Agir pour l'éducation", une initiative des professeurs du Collège de France.

      Il vise à récapituler les défis identifiés, les approches proposées et les discussions clés concernant l'amélioration du système éducatif français.

      1. Introduction et Objectifs de l'Initiative

      L'initiative "Agir pour l'éducation" est née d'une prise de conscience collective des professeurs du Collège de France face aux défis du système éducatif français. Comme l'a souligné Stanislas Dehaene, titulaire de la chaire de psychologie cognitive expérimentale et président du Conseil Scientifique de l'Éducation Nationale :

      "Nous nous sommes mobilisés collectivement pour répondre à l'un des grands défis auxquels la France est confrontée actuellement : les difficultés que rencontre notre système éducatif."

      La Fondation UK, dont la création a été récemment finalisée, a pour but de "faire rayonner le Collège de France Royaume-Uni, de soutenir la recherche française et des projets communs entre nos deux pays.

      Le Brexit nous encourage plus que jamais à créer des ponts ou les échanges intellectuels pour que les échanges intellectuels perdurent."

      2. Les Défis Majeurs du Système Éducatif Français Plusieurs points de faiblesse sont mis en évidence, témoignant d'une dégradation de la performance éducative en France :

      • Baisse du niveau dans les fondamentaux, notamment en mathématiques : La France a été classée "derniers d'Europe en mathématiques" lors de l'enquête PISA de l'OCDE en décembre 2020.

      Stanislas Dehaene note une "baisse continue des performances depuis trente ans, on perd à peu près un demi écart-type tous les dix ans, ce qui veut dire que les élèves d'aujourd'hui sont les meilleurs d'aujourd'hui sont au niveau des moyens avoir des médiocres d'il y a 30 ans." Serge Haroche, Prix Nobel de Physique, a trouvé cela "assez inquiétant".

      Un chiffre frappant est qu'environ "trois quarts des élèves de 6ème à l'entrée en 6ème n'ont pas su placer la fraction 1/2 au bon endroit sur une ligne numérique."

      • Accroissement des inégalités : Cette baisse des performances affecte particulièrement les élèves issus de milieux socio-économiques défavorisés.

      Malgré des efforts comme le dédoublement des classes en réseaux d'éducation prioritaire, cela reste insuffisant pour compenser des inégalités plus fortes qu'ailleurs.

      Philippe Aghion, titulaire de la chaire d'économie de l'innovation, souligne que "le revenu des parents compte énormément... les parents qui gagnent davantage sont en général plus éduqués et donc ils transmettent à leurs enfants pas seulement du savoir mais également ce qu'on appelle en anglais aspirations, des perspectives, des ambitions."

      Il insiste sur l'importance d'un système éducatif de qualité et accessible à tous pour stimuler la mobilité sociale et réduire la dépendance à l'origine sociale pour devenir innovateur. * Déficit en "soft skills" (compétences socio-comportementales) : Les élèves français sont "au plus bas de l'échelle" concernant des compétences telles que la collaboration, la persévérance, la confiance en soi et le contrôle de leur propre apprentissage. Il y a une "perte de confiance à l'école". * Formation des enseignants insuffisante : La France est "au bas de l'échelle" en termes de formation, notamment continue, de ses enseignants. Serge Haroche compare la France à des pays comme la Corée du Sud et Singapour, qui ont investi massivement dans le statut et la formation des enseignants pour améliorer drastiquement leur système éducatif. Il déplore que "le statut social qui est donné dans l'autre société différencie de façon excessive les ingénieurs par exemple des enseignants. Il est clair qu'au niveau de la rémunération, il n'y a pas de comparaison possible."

      Stanislas Dehaene mentionne qu'en France, la formation continue est de 18 heures par an, contre plusieurs semaines dans d'autres pays.

      • Sous-représentation des femmes dans les carrières scientifiques et techniques : Notamment en informatique (92% de garçons, 8% de femmes) et en mathématiques pures. Des études menées par le Conseil Scientifique de l'Éducation Nationale (EVA-LCP) montrent que "il n'y a pas de différences entre garçons et filles à l'entrée au CP... et au bout d'un an la différence est très importante."

      3. Axes d'Action Proposés par le Collège de France

      • Les professeurs du Collège de France entendent se mobiliser autour de quatre piliers :

      • Comprendre : Recenser les connaissances, notamment internationales, sur les causes des difficultés françaises, la sociologie des enseignants, et les réactions d'autres pays.

      Pierre-Michel Menger, sociologue, dont la chaire porte sur la dimension créatrice du travail, insiste sur l'étude des trajectoires scolaires en mathématiques et l'analyse fine des facteurs (milieux sociaux, composition des classes, caractéristiques des enseignants) influençant les performances.

      Il propose d' "ouvrir la boîte noire" du monde scolaire et périscolaire.

      • Inspirer : Utiliser les connaissances disciplinaires des professeurs pour conseiller, enthousiasmer et orienter les élèves, notamment les jeunes femmes vers les filières scientifiques. Philippe Aghion a développé le "Campus de l'Innovation pour les Lycées" en partenariat avec le Ministère de l'Éducation Nationale pour permettre aux lycéens de zones prioritaires d'accéder à la recherche en train de se faire et d'éveiller des vocations.

      • Outiller : Développer et diffuser des outils pour mieux apprendre et enseigner. Stanislas Dehaene et son équipe ont créé des logiciels comme "Kalulu" pour aider à automatiser le décodage en lecture et développer des tests de diagnostic des difficultés en mathématiques, notamment concernant les fractions. L'objectif est de les rendre "disponibles dans toutes les classes gratuitement".

      • Expérimenter : Mettre en place des "expérimentations randomisées contrôlées" (RCTs) pour vérifier l'efficacité des propositions, à l'image des travaux d'Esther Duflo (Prix Nobel d'Économie).

      Il est crucial de "vérifier ce qui marche et ce qui ne marche pas" plutôt que de se fier aux convictions.

      4. Projets Spécifiques et Innovations

      • Stanislas Dehaene (Psychologie Cognitive Expérimentale) :
      • Recherche sur l'organisation cérébrale pour les mathématiques et la lecture (25 ans de recherche).
      • Développement d'outils de mesure des performances de lecture et de diagnostic des types de dyslexie.
      • Conception de logiciels d'entraînement pour les élèves (ex: Kalulu pour le décodage en lecture), avec des résultats positifs prouvés par des expérimentations.
      • Volonté de diffuser gratuitement ces outils de diagnostic et d'intervention, notamment pour le premier degré et les mathématiques (ex: test sur les fractions en 6ème).
      • Philippe Aghion (Économie de l'Innovation) :
      • Axé sur la création d'une économie plus innovante et inclusive. L'éducation est un vecteur clé pour l'innovation et la mobilité sociale.
      • Campus de l'Innovation pour les Lycées : Initié en 2016, ce partenariat avec le Ministère de l'Éducation Nationale a touché 4500 lycéens et 900 enseignants entre 2016 et 2021 dans 40 villes. Il vise à apporter le "savoir en train de se faire" aux élèves et enseignants de zones prioritaires.
      • Réforme des programmes SES : Co-création avec Pierre-Michel Menger d'une approche pédagogique pour les sciences économiques et sociales, axée sur l'acquisition de concepts fondamentaux en microéconomie avant la macroéconomie, et le croisement des disciplines.

      Ce programme est devenu le plus choisi après les mathématiques en première et seconde. Extension prévue aux sciences de la vie et aux mathématiques.

      Pierre-Michel Menger (Sociologie du Travail) :

      • Étudie le "learning content" du travail et la relation entre travail et éducation.
      • Travaux sur l'organisation et la compétition dans l'enseignement supérieur et la recherche, la diffusion de la sémantique du talent et la méritocratie.
      • Recherche sur les trajectoires scolaires en mathématiques (primaire aux classes préparatoires), utilisant de vastes enquêtes (PISA, enquêtes nationales).
      • Aborde trois défis majeurs en mathématiques :
      • Élever le niveau moyen et médian des élèves en numératie, en corrigeant les inégalités de départ ("dimension inclusive"). Il insiste sur la transversalité des mathématiques comme "socle indispensable pour s'orienter et pour agir et pour travailler dans le monde".
      • Assurer l'excellence mathématique et l'attractivité pour les chercheurs et doctorants, alors que des signes d'érosion apparaissent (départ de brillants mathématiciens à l'étranger).
      • Lutter contre la "surreprésentation absolument persistante des femmes" en mathématiques.
      • Propose d' "ouvrir la boîte noire" en enquêtant sur le terrain (monde scolaire et périscolaire, clubs de mathématiques) et en mobilisant les parents, les enseignants et les élèves.
      • Serge Haroche (Physique Quantique, Prix Nobel) :
      • Élargit la discussion au contexte international (Brésil, Corée du Sud, Singapour).
      • Souligne la nécessité de donner aux citoyens les moyens d' "apprendre à apprendre" et de développer l'esprit critique.
      • Insiste sur la consolidation des bases (lecture, calcul) comme préalable.
      • Propose d'améliorer le statut et la formation des enseignants pour rendre la profession plus attractive, s'inspirant des exemples coréen et singapourien.
      • Remarque la baisse de l'intérêt pour les sciences chez les jeunes au passage du primaire au collège, en partie due à une formation insuffisante des enseignants dans les matières scientifiques.
      • Suggère d'intégrer l'histoire des sciences dans l'enseignement pour montrer son importance civilisationnelle et inspirer les jeunes.

      5. Débats et Questions Clés

      • Innovation et égalité : La France est égalitaire en termes de revenus après impôts, mais moins en termes de mobilité sociale. L'éducation est un levier essentiel pour stimuler cette mobilité et créer une économie plus innovante et inclusive.

      • Formation des enseignants : Le manque de formation continue (18h/an en France vs plusieurs semaines ailleurs) et le besoin d'actualiser les connaissances pédagogiques sont cruciaux. Il faut s'inspirer de modèles comme l'Education Endowment Foundation (EEF) britannique pour diffuser les recherches sur les stratégies pédagogiques efficaces et déconstruire les "neuromythes" (ex: intelligences multiples).

      • Place de la philosophie : La philosophie, comme les mathématiques, est une "méta-compétence" fondamentale pour le raisonnement logique et l'esprit critique. Son enseignement pourrait être élargi, pas nécessairement comme une spécialité, mais par des approches pédagogiques qui valorisent le débat et la logique.

      • Disparité de genre en sciences : Des études montrent que la différence de niveau en mathématiques entre garçons et filles apparaît très tôt à l'école. Les pistes incluent la présentation de "role models" (femmes scientifiques), une redéfinition de la compétition (favorisant la coopération), et la prise en compte des choix de carrière liés aux perspectives d'épanouissement.

      L'expérimentation de la pédagogie par le jeu en mathématiques est aussi envisagée pour réduire les inégalités.

      • Impact de l'appréciation des professeurs : Des commentaires trop "incisifs" peuvent freiner l'enthousiasme. Un changement d'attitude vers une valorisation des efforts, une positivité et la déculpabilisation de l'échec est nécessaire, s'inspirant des systèmes qui encouragent la "deuxième chance".

      Le concept de "growth mindset" (tout le monde apprend) de Carole Dweck est un modèle à diffuser.

      • Décrochage en mathématiques et sens : La difficulté vient souvent d'un apprentissage par cœur des algorithmes sans connexion profonde avec le "sens" des concepts (ex: ligne numérique pour les fractions).

      Le manque de formation des professeurs du primaire en mathématiques et la difficulté à gérer l'hétérogénéité des classes sont aussi des facteurs.

      • Rôle de l'investissement et de l'autonomie des établissements : Il est souligné que "sans investissement, on ne pourra pas améliorer le système". Les salaires des enseignants sont jugés trop bas, ne valorisant pas suffisamment la profession.

      La Finlande est citée comme exemple pour avoir su réconcilier "standards nationaux et autonomie des chefs d'établissement", permettant des projets pédagogiques innovants et un meilleur encadrement des élèves.

      • Culture de l'effort : Il est important de réintroduire la "culture de l'effort" dans l'enseignement, car "on n'apprend pas sans y mettre une certaine intensité". Il faut que cet effort "paie" et que le système valorise le travail et les compétences.

      En conclusion, le webinaire met en lumière l'urgence d'une mobilisation collective pour transformer le système éducatif français.

      Les professeurs du Collège de France proposent une approche scientifique et expérimentale pour comprendre les problèmes, inspirer les élèves, outiller les enseignants et vérifier l'efficacité des solutions, avec l'ambition de construire une nation plus innovante et inclusive.

    1. Note de synthèse : Le rôle du Replay et de la Connaissance Structurelle dans l'Apprentissage et la Cognition

      Cette note de synthèse explore les idées principales présentées par le Professeur Tim Behrens sur la manière dont le cerveau construit des modèles du monde, en mettant l'accent sur le rôle du "replay" (rejeu) et des représentations structurelles dans l'apprentissage et l'inférence.

      1. Le Débat Fondamental en Psychologie : Skinner vs. Tolman L'exposé de Behrens débute par une rétrospective historique du débat entre deux figures majeures de la psychologie du milieu du XXe siècle :

      • B.F. Skinner (Behaviorisme) : Skinner soutenait que tout comportement est contrôlé par la récompense et la punition, à travers un processus de "conditionnement".

      Il affirmait qu'un comportement sophistiqué pouvait être créé en "assemblant" des comportements prédisant une récompense, même à long terme.

      Sa célèbre citation, "The real problem is not where the machines think but whether men do," illustre sa vision externaliste du contrôle du comportement.

      Ses idées ont eu une influence notable sur le système éducatif américain des années 60 et 70.

      • Edward Tolman (Cognitivisme) : À l'opposé, Tolman, étudiant les rats dans des labyrinthes, a démontré que les animaux apprenaient la structure du labyrinthe même en l'absence de récompense.

      Les rats pouvaient trouver des raccourcis plus tard lorsque des récompenses étaient introduites, ce qui suggère l'existence d'une "carte cognitive" interne ou d'un "modèle interne du monde".

      Sa métaphore était que "the central office itself is far more like a map controll room than it is like an oldfashioned telephone exchange."

      • Behrens conclut que "obviously like all debates in the history of science both of them are right to some extent or the other both of these processes exist in the brain", mais que la "knowledge structure process is a very interesting one and certainly has an increasing reliance as you get higher up The evolutionary chain towards primates and humans." Le cœur de la présentation est de comprendre à quoi ressemble cette "carte" et comment elle est construite dans le cerveau.

      2. La Représentation des Relations et la Généralisation

      • La construction d'un modèle du monde repose sur la compréhension des relations entre les choses. Behrens propose deux manières pour le cerveau de représenter ces liens :

      • Liaisons synaptiques directes : Des neurones associés à deux concepts (ex: Starbucks et café) pourraient former de nouvelles synapses pour s'activer mutuellement. C'est le principe de l'apprentissage associatif.

      • Neurones représentant explicitement les relations : Une approche plus sophistiquée implique des populations distinctes de neurones qui encodent la structure des relations elles-mêmes. L'avantage crucial de cette méthode est la capacité d'inférence et de généralisation.

      Si la relation entre la fée Starbucks et le café est encodée explicitement, le même mécanisme neuronal peut être utilisé pour comprendre la relation entre le "whoosh" de Nike et une chaussure, permettant une inférence comme "I can buy the shoe wherever I see the Nike whoosh."

      3. Les Cellules de Grille et de Lieu : Les Fondements des Cartes Cognitives

      • La démonstration de la représentation structurelle débute avec les découvertes en neurosciences spatiales chez les rongeurs :

      • Cellules de Lieu (Hippocampe) : Ces neurones s'activent lorsque l'animal se trouve dans une position spécifique de l'environnement.

      • Cellules de Grille (Cortex Entorhinal) : Ces cellules sont "super cool cells" qui s'activent selon un motif hexagonal régulier et "understand the structure of the problem that you're talking about". Elles fournissent un système de coordonnées pour la navigation spatiale. Il n'y aurait "no reason to have such a cell if you were not optimized for running around a two-dimensional plane."

      • Cellules de Vecteur d'Objet : Ces neurones représentent un vecteur entre la position actuelle de l'animal et un objet intéressant (ex: "I'm this Vector away from something interesting like a piece of cheese").

      • L'existence de ces cellules permet des inférences spatiales complexes, comme trouver un raccourci vers la récompense, au lieu de simplement reproduire le chemin appris (comme le prédirait Skinner).

      4. La Généralisation des Cellules de Grille aux Domaines Non-Spatiaux

      • Une idée centrale de l'équipe de Behrens est que ces "types of solutions are general types of solutions for many of the problems". Des preuves s'accumulent que les cellules de grille et des systèmes de coordonnées similaires peuvent être utilisés pour des problèmes non-spatiaux :

      • Espace de Fréquence : Des cellules de grille ont été observées chez les rats naviguant dans un espace de fréquence tonale, se comportant "as if you're moving through real space".

      • Dimensions Sémantiques : Dans des études sur les humains (via des "smoke signals" ou des signaux indirects détectés par MEG), des activités similaires aux cellules de grille ont été observées pour des problèmes à deux dimensions non spatiales, comme la longueur des pattes et du cou des oiseaux.

      Plus récemment, des cellules de grille non spatiales ont été enregistrées directement chez le singe, ce qui est "very exciting for me because I started this this thing I guess 12 15 years ago and now we can really see them."

      • Hiérarchies de Séquences : Même pour des structures non bidimensionnelles, comme les hiérarchies temporelles (jours, semaines, mois, années), des preuves indirectes de systèmes de coordonnées similaires ont été trouvées chez l'homme.

      • Ces découvertes renforcent l'idée que ces représentations structurelles sont des "General structural representations of the relationships between objects in your brain."

      5. Le Phénomène de Replay et son Rôle dans l'Inférence

      • Le "replay" est un phénomène d'activité neuronale rapide qui récapitule des séquences d'événements, se produisant souvent pendant le repos ou le sommeil. Behrens soutient que le replay n'est pas seulement une consolidation passive de la mémoire, mais un processus actif d'inférence sur des futurs possibles :

      • Décodage du Replay chez l'Humain : En utilisant la magnétoencéphalographie (MEG), les chercheurs peuvent décoder l'activité cérébrale pendant le repos et voir quelles séquences de stimuli sont "rejouées".

      • Replay Inférentiel : Dans une expérience inspirée de Kill Bill de Tarantino (où l'ordre des chapitres est jumbé), les sujets humains apprenaient des séquences d'événements dans le désordre.

      Pendant les périodes de repos, le replay ne montrait pas la séquence désordonnée vécue, mais la séquence "désembrouillée" et logiquement correcte.

      "What's happening in this rest period after we show subjects the jumbled up sequences... their brain in this rest period is going ABCD ABCD ABCD ABCD with like 40 milliseconds between them and these little packets the little packets being played out doing an inference over what's what's happened."

      Ce processus se produit rapidement (environ 40-50 millisecondes par élément).

      • Lien avec la Structure : Le replay utilise la connaissance structurelle préexistante (par exemple, l'ordre causal des événements) pour réorganiser et inférer des relations non directement vécues.

      • Replay dans la Vie Quotidienne : Des études montrent que le replay se produit "whenever the movie pauses at a scene boundary doing all all sorts of reorganization."

      Ce qui suggère aux éducateurs de "pause regularly when you're trying to explain something to give the opportunity for lots of Replay packets to be to be reorganized in your in your other people's brains."

      6. Mécanismes Cellulaires du Replay Inférentiel

      • Behrens explique comment le replay pourrait permettre la construction de cartes et l'inférence au niveau neuronal :

      • Construction de Cartes à partir de la Récompense :

      L'argument est que l'animal ne planifie pas seulement au moment de l'action, mais que le fait de trouver une récompense déclenche des paquets de replay qui construisent une carte de directions vers cette récompense depuis d'autres endroits de l'environnement. Ces replays "build an entire map to get to that cheese."

      • Association Coordonnée-Vecteur : Le replay lierait la position actuelle (coordonnée) avec un "neurone vecteur" (ex: "cheese over there neuron") pour créer une nouvelle "place field" (champ de lieu) ou modifier une existante. Si le point de récompense se déplace, le replay désassocie l'ancien vecteur et l'associe au nouveau.

      "The replay is taking the neuron that says cheese over here and it's moving it to say cheese is over there now right and so that's what the replay is doing and it's doing this throughout the whole map it's just going around the whole map organizing your representations to point you towards the cheese doing this inference in rest not at the time when you're going to need it when you need it but doing it way before you need it so that it's much quicker when you need it."

      • Surreprésentation des Neurones Vecteurs : Les neurones de vecteur seraient particulièrement représentés dans ces replays, suggérant qu'ils sont la cible principale de cette réorganisation.

      7. Replay Rapide vs. Replay Lent et leur Impact sur la Performance

      • Dans des tâches cognitives plus complexes chez l'humain (comme un jeu de cartes avec des dimensions d'attaque/défense), deux types de replay sont observés :

      • Replay Rapide (Fast Replay, ~50 ms) : Associé à une meilleure performance et à l'utilisation du système de coordonnées interne.

      Plus on a de replay rapide, moins on a besoin de "réfléchir" consciemment.

      Il se situe dans les zones du lobe temporal médian (hippocampe, cortex entorhinal).

      • Replay Lent (Slow Replay, ~150 ms) : Associé à une performance plus faible et à la nécessité de la "pensée" consciente. Il semble provenir davantage du cortex frontal.

      • Ces résultats suggèrent que le replay rapide, qui construit des cartes en mode hors ligne, "is preventing you from having to do this rapid thinking online."

      8. L'Importance du Repos et du Sommeil pour la Construction de Connaissances Structurelles

      • Behrens insiste sur le fait que le cerveau continue de "remplir la carte" pendant les périodes de repos :

      • Construction Hors Ligne de la Carte : Même lorsque les informations sont apprises de manière unidimensionnelle, le cerveau utilise le replay pendant le repos pour construire la carte complète bidimensionnelle.

      "It replays in the two- dimensional in the full two two Dimensions during rest when there's no inferences going on in in their behavior they're just sitting there the brain in the background is is sending these little packets filling out the map building in the two-dimensional replay."

      • Impact sur la Performance Future : "If you do that offline then later online you have more grid cell activity and you're better at the task."

      • Conseil Pratique : "All the time when you're just sitting around having a cup of tea what you should be doing what your brain is doing is filling in all the experiences that you've had that day and making them all match up with each other so that you um so so that you when you get asked a question later you know the answer already you don't have to think about it there and then so get lots of rest and have lots of Cups of Tea."

      • Lien avec l'Éducation et le QI : Les signaux de replay et de structure se développent "in the school time in the age of of school from 8 to 18 and they predict measures real world measures like IQ much better than things like age do."

      Ceci soutient l'idée que les programmes éducatifs devraient se concentrer sur le "developing Rich structural knowledge" plutôt que sur le conditionnement par récompense/punition ("take that Skinner!").

      • Replay et Sommeil Lent : Ces paquets d'activité sont les plus forts pendant le sommeil à ondes lentes, soulignant l'importance du sommeil pour l'organisation des connaissances.

      9. Discussion : Homme vs. Rongeur et Spécialisation Corticale

      • Similarité des Principes Mécanistiques : Behrens reconnaît que le répertoire structurel est "much richer in humans than it is in other species" mais pense que "the principles by which they mechanistically operate are the same." Cela justifie l'étude des mécanismes de base chez les rongeurs.

      • Transfert de Connaissances Hippocampe-Cortex : Il y a "definitely such a transfer" d'informations de l'hippocampe vers le reste du cortex pendant le sommeil.

      Une "onde d'activité" se propage de l'hippocampe vers le cortex entorhinal, puis le cortex préfrontal médian et pariétal médian, avant d'atteindre les cortex associatifs et sensorimoteurs. Ces régions médianes pourraient "mediate the communication of hippocampus to the rest of Cortex."

      • Le Modèle en "Anneaux d'Oignon" (Onion Rings) : Behrens propose une métaphore où les structures les plus universelles et fréquemment utilisées (comme l'espace ou les hiérarchies) seraient représentées "closest to the hippocampus", tandis que les structures plus spécialisées (comme la grammaire du langage) seraient plus éloignées, dans les systèmes corticaux dédiés.

      L'objectif est de construire les souvenirs avec le moins de nouvelles synapses possible, en utilisant au maximum les connaissances antérieures.

    1. Exposé Détaillé : Les États Hybrides Veille-Sommeil et les Fonctions Cognitives du Sommeil

      Ce document de synthèse présente les thèmes principaux, les idées essentielles et les faits marquants issus des extraits de la conférence de Stanislas Dehaene et de la présentation d'Isabelle Arnulf intitulée "Les états hybrides veille sommeil une fenêtre sur les fonctions cognitives du sommeil".

      1. Introduction : L'accès au Rêve et la Notion d'États Hybrides

      Isabelle Arnulf, Professeur de neurologie et chef de service des pathologies du sommeil à l'hôpital de la Pitié-Salpêtrière, souligne la difficulté majeure d'étudier les fonctions cognitives du sommeil : l'accès au rêve.

      Elle définit le rêve non seulement comme les "grands scénarios immersifs" mais aussi comme "tout ce qui est pensée, émotion, sensation, ressenti pendant le sommeil".

      Le défi réside dans le fait que le contenu cognitif est vécu pendant le sommeil, et l'approche traditionnelle de réveil du dormeur pour recueillir des souvenirs présente des biais significatifs :

      Oubli massif : "plus de 99 % de nos rêves soient oubliés à partir du moment où on se réveille". Distorsion du récit : La transformation du rêve en récit peut être inexacte en raison de la reconstruction difficile et de l'auto-censure.

      Manque de temporalité : L'incapacité de situer précisément le rêve par rapport au moment du réveil. Pour pallier ces difficultés, la recherche s'est orientée vers l'obtention de "marqueurs du rêve au moment où il se passe pendant le sommeil", notamment grâce aux "états hybrides" entre veille et sommeil.

      Ces états sont des zones frontalières où le cerveau n'est ni totalement éveillé ni totalement endormi, donnant lieu à des comportements ou des expériences particulières.

      2. Les États Hybrides Veille-Sommeil comme Fenêtre sur le Rêve

      Isabelle Arnulf identifie plusieurs états hybrides, qu'elle classe selon qu'ils se produisent entre :

      Veille et sommeil lent profond : somnambulisme, terreurs nocturnes, parler dans le sommeil (somniloquie), éveils confusionnels.

      Veille et sommeil paradoxal : cataplexie, troubles comportementaux en sommeil paradoxal (TCSP), parler en sommeil paradoxal, rêve lucide, hypnagogies (entre veille et sommeil lent léger).

      La présentation se focalise sur les TCSP, le somnambulisme, les terreurs nocturnes, la somniloquie et le rêve lucide, car ils offrent des pistes directes pour l'étude des rêves.

      2.1. Les Troubles Comportementaux en Sommeil Paradoxal (TCSP)

      Définition : Rêves et cauchemars agités, survenant généralement chez les personnes de plus de 50 ans.

      Le dormeur "va souvent donner des coups de poing, des coups de pied, parler, insulter dans son sommeil".

      Congruence avec le rêve : Le contenu mental rapporté au réveil est "congruent et isomorphe au comportement qu'on a vu avant", ce qui en fait un "outil assez extraordinaire pour voir les rêves en comportement". Physiologie : Normalement, le sommeil paradoxal est caractérisé par une atonie musculaire (paralysie).

      Chez les patients TCSP, le "verrou qui nous paralyse dans la phase paradoxale n'est pas complètement effectif", permettant l'expression physique des rêves.

      Conséquences : Les comportements violents peuvent entraîner des blessures pour le dormeur ou son conjoint.

      La paralysie pendant le sommeil paradoxal est donc cruciale pour la sécurité.

      Variété des comportements : Au-delà des violences, la perte de l'atonie musculaire peut révéler des comportements non-violents, mais toujours associés à des souvenirs de rêve congruents, comme chanter ou mimer des actions.

      Analogie animale : Michel Jouvet a pu déclencher des comportements oniriques chez les chats en ciblant la zone du tronc cérébral responsable de l'atonie, confirmant l'existence d'une dégénérescence similaire chez les patients TCSP.

      Marqueur précoce de maladies neurodégénératives : Le TCSP est un "très haut risque" de développer dans les années qui suivent une maladie de Parkinson ou des corps de Lewy.

      La dégénérescence d'une région focale du cerveau (locus coeruleus et subcoeruleus) est associée à ce trouble. Cela en fait un sujet de recherche majeur pour le prodrome de ces maladies.

      2.2. Les Parasomnies de Sommeil Lent Profond (Somnambulisme, Terreurs Nocturnes)

      Définition : Comportements anormaux (marche, fuite, cris) observés à la lisière de l'éveil et du sommeil lent profond.

      Cerveau hybride : Pendant ces épisodes, le "la partie postérieure du cerveau est réveillé la partie antérieure est encore dans du sommeil profond".

      Contenu onirique : Contrairement à l'idée reçue, les somnambules peuvent rêver. "76 % des adultes avec ces phénomènes là [...] ont occasionnellement le rappel d'un contenu de rêve qui est associé à l'épisode et qui une fois de plus est isomorphe au comportement qu'on a vu avant". Ces rêves sont souvent plus brefs et liés à des "catastrophes imminentes".

      Perception de l'environnement : À la différence des TCSP où le dormeur est dans un autre monde, les somnambules et sujets aux terreurs nocturnes ont une "perception de la chambre et de leur contenu de rêve qui apparaît comme une sorte d'hologramme dans la chambre".

      Origine des rêves : L'accélération cardiaque et l'activation des régions postérieures du cerveau jusqu'à 20 secondes avant le début du comportement suggèrent que l'expérience mentale commence avant le réveil moteur, et n'est pas simplement une création au moment de l'éveil partiel.

      3. Les Fonctions Cognitives du Sommeil et du Rêve

      La recherche utilise ces états hybrides pour "mieux décrire le contenu mental" et "tester des hypothèses sur les fonctions cognitives du sommeil et du rêve".

      3.1. La Simulation de la Menace (Théorie de Revonsuo) Hypothèse : La théorie de Revonsuo (2000) suggère que le rêve permet de "s'entraîner à faire face à la menace" et aurait une fonction darwinienne.

      Corrélation avec les TCSP et le somnambulisme : "60 à 70 % se rappelle que c'était un scénario de menace" dans les rêves des patients TCSP et des somnambules.

      Somnambules (sommeil lent profond) : Majoritairement des catastrophes (inondation, murs qui s'écroulent) avec une réponse de fuite ("100 % [...] fuit hors du lit"). TCSP (sommeil paradoxal) : Plus d'agressions par des personnes et des animaux avec une réponse de contre-attaque ("75 % [...] contre-attaque dans le lit"). Rêves des étudiants en médecine avant le concours : Une étude auprès de 2324 étudiants a montré que 171 sur 188 qui se souvenaient d'un rêve la veille de l'examen avaient "rêvé de l'examen" et l'avaient "raté de toutes les manières possibles". Le fait de rêver du concours, même négativement, "donne un demi-point de plus" à la note, suggérant un "gain cognitif" et corroborant la théorie de Revonsuo sur l'entraînement face à des situations stressantes.

      3.2. Le Langage pendant le Sommeil (Somniloquie) Méthodologie : Enregistrement et transcription de 883 vocalisations (dont 703 phrases complètes) sur environ 200 personnes.

      Caractéristiques du langage nocturne :Négativité : Le mot le plus fréquent est "non", et les tournures négatives représentent plus de 9 % des énoncés, bien plus que dans la conversation éveillée. Vulgarité : "les mots vulgaires sont beaucoup plus fréquents que dans la conversation d'éveil". Ils sont plus fréquents en sommeil lent qu'en sommeil paradoxal (où ce sont plutôt des insultes). Structure : Le langage est "adressé à une personne", respecte la grammaire, le tour de parole, et peut être complexe. Les gestes co-verbaux sont également "parfaitement conservés". Différences avec l'éveil : Plus de marmonnements, une parole "plus négative, plus répétée" et "plus vulgaire", suggérant une expression moins censurée ou plus primitive du contenu mental.

      3.3. La Consolidation de la Mémoire et la Réexécution des Apprentissages

      • Hypothèse : Le sommeil consolide la mémoire. La question est de savoir si les apprentissages récents sont réexécutés dans les rêves.
      • Expérience : Des patients somnambules et TCSP ont appris une chorégraphie ou un texte avant de dormir.
      • Résultats : La mémoire procédurale (chorégraphie) et verbale (texte) était bien consolidée. Cependant, la réexécution des comportements appris pendant le sommeil était "une grande déception" et "assez rare", suggérant que la fenêtre d'observation est trop étroite.
      • Cas anecdotique : Un patient TCSP a reproduit des mouvements de "taping" (examen neurologique) pendant son sommeil paradoxal, montrant une certaine transparence de l'apprentissage dans le rêve.

      3.4. La Régulation des Émotions

      • Fonction connue : Le sommeil aide à "digérer les émotions négatives", comme le montre le fait qu'une nuit de sommeil permet de répondre de manière plus rationnelle à un e-mail agressif.
      • Expression faciale des émotions pendant le sommeil :Sourires : Les adultes, y compris les personnes normales, sourient pendant leur sommeil (sommeil lent léger et paradoxal). 52 % de ces sourires sont des "sourires de Duchène", associés à de "vraies émotions positives".
      • Émotions négatives : Les froncements de sourcils (corrugator) sont fréquents dans tous les sujets. Les expressions complètes de mécontentement, peur ou colère sont observées "uniquement les troubles comportementaux en sommeil paradoxal".
      • Lien avec les mouvements oculaires rapides (MOR) : Les émotions négatives sont "très fortement associées [...] aux bouffées de mouvement oculaire" en sommeil paradoxal. Cela rappelle la technique de l'EMDR (Eye Movement Desensitization and Reprocessing) utilisée pour digérer les traumatismes, suggérant que les MOR rapides pourraient aider à traiter les émotions négatives pendant le sommeil paradoxal.
      • Dynamique des émotions pendant le sommeil paradoxal : Les émotions négatives apparaissent plus tôt (pic autour de 10 minutes) et sont plus présentes au début de la phase. Le cerveau semble traiter les émotions "à très haute vitesse", passant rapidement du positif au négatif, ce qui pourrait "éviter trop d'émotions négatives si elle se suivait sans arrêt".

      3.5. La Créativité et les Hypnagogies

      • Anectodes de chercheurs et artistes : Einstein et Mendeleïev auraient eu des intuitions créatives en rêve.
      • Méthode d'Edison : Thomas Edison utilisait une méthode pour se réveiller au début de l'endormissement (hypnagogies) pour capturer des "bonnes idées". Kekulé aurait découvert la structure du benzène lors d'une rêverie hypnagogique.
      • Expérience sur la résolution de problèmes : Des participants ont tenté de résoudre une tâche de réduction de nombres (avec une règle cachée) avant de dormir, puis se sont reposés avec une bouteille à la main (méthode d'Edison).
      • Résultats : Ceux qui se sont réveillés après 30 à 60 secondes de sommeil lent léger (stade N1) grâce à la chute de la bouteille ont eu un taux de réussite de 83 % pour trouver la solution cachée. Ceux qui sont restés éveillés ou qui sont passés en sommeil N2 n'ont pas trouvé la solution.
      • Explication : La résolution du problème semble nécessiter un "cocktail EEG favorable", un mélange de "réflexion de l'éveil et de déjà l'imagination la pensée un peu métaphorique en image du sommeil". Les hypnagogies, images et petits scénarios qui apparaissent à l'endormissement, sont clés pour cette créativité.

      4. Conclusion : Le Sommeil comme "Boîte Noire" du Contenu Mental

      Isabelle Arnulf conclut que "il y a une activité mentale dans tous les stades de sommeil" avec des fonctions potentielles de "mémoriser de simuler les menaces de réguler les émotions peut-être de développer la créativité peut-être peut-être aussi l'empathie". Les parasomnies (états hybrides) sont des "fenêtres directes étroites [...] mais riches sur ces conditions et ses émotions pendant le sommeil". Le sommeil est une "boîte noire" que ces "fragmentations" permettent d'explorer, révélant le "cristal qui est à l'intérieur qui est ce contenu mental".

      Enfin, elle mentionne l'importance clinique de cette recherche, notamment la capacité de modifier les cauchemars récurrents par la "répétition d'image mentale" (Image Rehearsal Therapy), soulignant comment la compréhension du traitement cognitif pendant le sommeil peut être utilisée pour des interventions thérapeutiques.

    1. Author response:

      The following is the authors’ response to the original reviews.

      eLife Assessment

      This valuable study reports the development of a novel organoid system for studying the emergence of autorhythmic gut peristaltic contractions through the interaction between interstitial cells of Cajal and smooth muscle cells. While the utility of the organoids for studying hindgut development is well illustrated by showing, for example, a previously unappreciated potential role for smooth muscle cells in regulating the firing rate of interstitial cells of Cajal, some of the functional analyses are incomplete. There are some concerns about the specificity and penetrance of perturbations and the reproducibility of the phenotypes. With these concerns properly addressed, this paper will be of interest to those studying the development and physiology of the gut.

      We greatly appreciate constructive comments raised by the Editors and all the Reviewers. We have newly conducted pharmacological experiments using Nifedipine, a L-type Ca<sup>2+</sup> blocker known to operate in smooth muscles (new Fig 7). The treatment abrogated not only the oscillation of SMCs but also that in ICCs, further corroborating our model that not only ICC-to-SMC interactions but also the reverse direction, namely SMC-to-ICC feedback signals, are operating to achieve coordinated/stable rhythm of gut contractile organoids.

      Concerning the issues of the specificity and penetrance in pharmacological experiments with gap junction inhibitors, we have carefully re-examined effects by multiple blockers (CBX and 18b-GA) at different concentrations (new Fig 5D and Fig. S3B).We have newly found that: (1) the effects observed by CBX (100 µM) that the latency of Ca<sup>2+</sup> peaks between ICCs (preceding) and SMCs (following) was abolished are not seen by 18b-GA at any concentrations including 100 µM, implying that the latency of Ca<sup>2+</sup> peaks between these cells is governed by connexin(s) that are not inhibited by18bGA. Such difference in inhibiting effects by these two drugs were previously reported in multiple model systems including guts (Daniel et al., 2007; Parsons & Huizinga, 2015; Schultz et al., 2003).

      Regarding the penetrance of the drugs, we have carried out earlier administration (Day 3) of the gap junction inhibitor, either CBX (100 µM) or 18b-GA (100 µM), in the course of organoidal formation in culture when cells are still at 2D to exclude a possible penetrance problem (new Fig. S3C). There treatments render no or little effects to the patterns of organoidal contractions in a way similar to the drug administration at Day 7. As already shown in the first version, CBX (100 µM) eliminates the latency of Ca<sup>2+</sup> peaks, we believe that this drug successfully penetrates into the organoid and exerts its specific effects.

      Unfortunately, due to very unstable condition in climate including extreme heat and sporadically occurring bird flu epidemic since the last summer in Japan, the poultry farm must have faced problems. In the course of revision experiments, we got in a serious trouble at multiple times with unhealthy eggs/embryos lasting from last summer until present. These unfortunate incidents did not allow us to engage in the revision experiments as fully as we originally planned. Nevertheless, we did our very best within a limited time fame, and we believe that the revised version is suitable as a final version of an eLife article.

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      In this study, the authors developed an organoid system that contains smooth muscle cells (SMCs) and interstitial cells of Cajal (ICCs; pacemaker) but few enteric neurons, and generates rhythmic contractions as seen in the developing gut. The stereotypical arrangements of SMCs and ICCs in the organoid allowed the authors to identify these cell types in the organoid without antibody staining. The authors took advantage of this and used calcium imaging and pharmacology to study how calcium transients develop in this system through the interaction between the two types of cells. The authors first show that calcium transients are synchronized between ICC-ICC, SMC-SMC, and SMC-ICC. They then used gap junction inhibitors to suggest that gap junctions are specifically involved in ICC-to-SMC signaling. Finally, the authors used an inhibitor of myosin II to suggest that feedback from SMC contraction is crucial for the generation of rhythmic activities in ICCs. The authors also show that two organoids become synchronized as they fuse and SMCs mediate this synchronization.

      Strengths:

      The organoid system offers a useful model in which one can study the specific roles of SMCs and ICCs in live samples.

      Thank you very much for the constructive comments.

      Weaknesses:

      Since only one blocker each for gap junction and myosin II was used, the specificities of the effects were unclear.

      We appreciate these comments. We have addressed those of “weaknesses” as described in “Responses to the eLife assessment” (please see above).

      Reviewer #2 (Public Review):

      Summary:

      In this study, Yagasaki et al. describe an organoid system to study the interactions between smooth muscle cells (SMCs) and interstitial cells of Cajal (ICCs). While these interactions are essential for the control of rhythmic intestinal contractility (i.e., peristalsis), they are poorly understood, largely due to the complexity of and access to the in vivo environment and the inability to co-culture these cell types in vitro for long term under physiological conditions. The "gut contractile organoids" organoids described herein are reconstituted from stromal cells of the fetal chicken hindgut that rapidly reorganize into multilayered spheroids containing an outer layer of smooth muscle cells and an inner core of interstitial cells. The authors demonstrate that they contract cyclically and additionally use calcium imagining to show that these contractions occur concomitantly with calcium transients that initiate in the interstitial cell core and are synchronized within the organoid and between ICCs and SMCs. Furthermore, they use several pharmacological inhibitors to show that these contractions are dependent upon non-muscle myosin activity and, surprisingly, independent of gap junction activity. Finally, they develop a 3D hydrogel for the culturing of multiple organoids and found that they synchronize their contractile activities through interconnecting smooth muscle cells, suggesting that this model can be used to study the emergence of pacemaking activities. Overall, this study provides a relatively easy-to-establish organoid system that will be of use in studies examining the emergence of rhythmic peristaltic smooth muscle contractions and how these are regulated by interstitial cell interactions. However, further validation and quantification will be necessary to conclusively determine show the cellular composition of the organoids and how reproducible their behaviors are.

      Strengths:

      This work establishes a new self-organizing organoid system that can easily be generated from the muscle layers of the chick fetal hindgut to study the emergence of spontaneous smooth muscle cell contractility. A key strength of this approach is that the organoids seem to contain few cell types (though more validation is needed), namely smooth muscle cells (SMCs) and interstitial cells of Cajal (ICCs). These organoids are amenable to live imaging of calcium dynamics as well as pharmacological perturbations for functional assays, and since they are derived from developing tissues, the emergence of the interactions between cell types can be functionally studied. Thus, the gut contractile organoids represent a reductionist system to study the interactions between SMCs and ICCs in comparison to the more complex in vivo environment, which has made studying these interactions challenging.

      Thank you very much for the constructive comments.

      Weaknesses:

      The study falls short in the sense that it does not provide a rigorous amount of evidence to validate that the gut organoids are made of bona fide smooth muscle cells and ICCs. For example, only two "marker" proteins are used to support the claims of cell identity of SMCs and ICCs. At the same time, certain aspects of the data are not quantified sufficiently to appreciate the variance of organoid rhythmic contractility. For example, most contractility plots show the trace for a single organoid. This leads to a concern for how reproducible certain aspects of the organoid system (e.g. wavelength between contractions/rhythm) might be, or how these evolve uniquely over time in culture. Furthermore, while this study might be able to capture the emergence of ICC-SMC interactions as they related to muscle contraction and pacemaking, it is unclear how these interactions relate to adult gastrointestinal physiology given that the organoids are derived from fetal cells that might not be fully differentiated or might have distinct functions from the adult. Finally, despite the strength of this system, discoveries made in it will need to be validated in vivo. Thank you very much for the comments, which are helpful to improve our MS. In the revised version, we have additionally used antibody against desmin, known to be a maker for mature SMCs (new Fig 3B). The signal is seen only in the peripheral cells overlapping with the αSMA staining (line 169-170).

      Concerning the reproducibility, while contractility changes were shown for a representative organoid in the original version, experiments had been carried out multiple times, and consistent data were reproduced as already mentioned in the text of the first version of MS. However, we agree with this reviewer that it must be more convincing if we assess quantitatively. We have therefore conducted quantitative assessments of organoidal contractions and Ca<sup>2+</sup> transients (new Fig. 2B, new Fig. 4D, new Fig 5D, E, new Fig. 6B, new Fig. 7B, new Fig. 8C, new Fig. S2, S3). Details such as repeats of experiments and size of specimens are carefully described in the revised version (Figure legends)

      In particular, in place of contraction numbers/time, we have plotted “contraction intervals” between two successive peaks (Fig. 2B and others). Actually, with your suggestion, we have tried to perform a periodicity analysis of organoid contractions. Unfortunately, no clear value has been obtained, probably because the contractions/Ca<sup>2+</sup> transitions are not as “regularly periodical” as seen in conventional physics. This led us to perform the peak-interval analysis. Methods to quantify the contraction intervals are carefully explained in the revised version.

      As already mentioned in the “Our provisional responses” following the receipt of Reviewers’ comments, we agree that our organoids derived from embryonic hind gut (E15) might not necessarily recapitulate the full function of cells in adult. However, it has well been accepted in the field of developmental biology that studies with embryonic tissue/cells make a huge contribution to unveil complicated physiological cell functions. Nevertheless, we have carefully considered in the revised version so that the MS would not send misleading messages. We agree that in vivo validation of our gut contractile organoid must be wonderful, and this is a next step to go.

      Reviewer #3 (Public Review):

      Summary:

      The paper presents a novel contractile gut organoid system that allows for in vitro studying of rudimentary peristaltic motions in embryonic tissues by facilitating GCaMPlive imaging of Ca<sup>2+</sup> dynamics, while highlighting the importance and sufficiency of ICC and SMC interactions in generating consistent contractions reminiscent of peristalsis. It also argues that ENS at later embryonic stages might not be necessary for coordination of peristalsis.

      Strengths:

      The manuscript by Yagasaki, Takahashi, and colleagues represents an exciting new addition to the toolkit available for studying fundamental questions in the development and physiology of the hindgut. The authors carefully lay out the protocol for generating contractile gut organoids from chick embryonic hindgut, and perform a series of experiments that illustrate the broader utility of these organoids for studying the gut. This reviewer is highly supportive of the manuscript, with only minor requests to improve confidence in the findings and broader impact of the work. These are detailed below.

      Thank you very much for the constructive comments.

      Weaknesses:

      (1) Given that the literature is conflicting on the role GAP junctions in potentiating communication between intestinal cells of Cajal (ICCs) and smooth muscle cells (SMCs), the experiments involving CBX and 18Beta-GA are well-justified. However, because neither treatment altered contractile frequency or synchronization of Ca++ transients, it would be important to demonstrate that the treatments did indeed inhibit GAP junction function as administered. This would strengthen the conclusion that GAP junctions are not required, and eliminate the alternative explanation that the treatments themselves failed to block GAP junction activity.

      Thank you for these comments, and we agree. In the revised version, we have verified the drugs, CBX and 18b-GA, using dissociated embryonic heart cells in culture, a well-established model for the gap junction study (new Fig. S3D, line 237-239). Expectedly, both inhibitors abrogate the rhythmic beats of heart cells, and importantly, cells’ beats resume after wash-out of the drug.

      (2) Given that 5uM blebbistatin increases the frequency of contractions but 10uM completely abolishes contractions, confirming that cell viability is not compromised at the higher concentration would build confidence that the phenotype results from inhibition of myosin activity. One could either assay for cell death, or perform washout experiments to test for recovery of cyclic contractions upon removal of blebbistatin. The latter may provide access to other interesting questions as well. For example, do organoids retain memory of their prior setpoint or arrive at a new firing frequency after washout?

      We greatly appreciate these suggestions and also interesting ideas to explore! In the revised version, we have newly conducted washout experiments (new Fig. 6B) (10 µM drug is washed-out from culture medium), and found that contractions resume, showing that cell viability is not compromised at 10 µM concentration (line 257-259). Intriguingly, the resumed rhythm appears more regular than that before drug administration. Thus, the contraction rhythm of the organoid might be determined by cellcell interactions at any given time rather than by memory of their prior setpoint. This is an interesting issue we would like to further explore in the future. These issues, although potentially interesting, are not mentioned in the text of the revised version, since it is too early to interpret there observations.

      (3) Regulation of contractile activity was attributed to ICCs, with authors reasoning that Tuj1+ enteric neurons were only present in organoids in very small numbers (~1%).

      However, neuronal function is not strictly dependent on abundance, and some experimental support for the relative importance of ICCs over Tuj1+ cells would strengthen a central assumption of the work that ICCs the predominant cell type regulating organoid contraction. For example, one could envision forming organoids from embryos in which neural crest cells have been ablated via microdissection or targeted electroporation. Another approach would be ablation of Tuj1+ cells from the formed organoids via tetrodotoxin treatment. The ability of organoids to maintain rhythmic contractile activity in the total absence of Tuj1+ cells would add confidence that the ICCs are indeed the driver of contractility in these organoids.

      We agree. In the revised version, we have conducted TTX administration (new Fig. S2C). Changes in contractility by this treatment is not detected, supporting the argument that neural cells/activities are not essential for rhythmic contractions of the organoid (line 178-181).

      (4) Given the implications of a time lag between Ca++ peaks in ICCs and SMCs, it would be important to quantify this, including standard deviations, rather than showing representative plots from a single sample.

      In the revised version, we have elaborated a series of quantitative assessments as mentioned above (please see our responses to the “eLife assessments” at the beginning of these correspondences). The latency between Ca<sup>2+</sup> peaks in ICCs and SMCs is shown in new Fig. 4D, in which measured value is 700 msec-terraced since the time-lapse imaging was performed with 700 msec intervals (as already described in the first version).

      117 peaks for 14 organoids have been assessed (line 218).

      (5) To validate the organoid as a faithful recreation of in vivo conditions, it would be helpful for authors to test some of the more exciting findings on explanted hindgut tissue. One could explant hindguts and test whether blebbistatin treatment silences peristaltic contractions as it does in organoids, or following RCAS-GCAMP infection at earlier stages, one could test the effects of GAP junction inhibitors on Ca++ transients in explanted hindguts. These would potentially serve as useful validation for the gut contractile organoid, and further emphasize the utility of studying these simplified systems for understanding more complex phenomena in vivo.

      Thank you very much for insightful comments. We would love to explore these issues in near future. Just a note is that it was previously reported that Nifedipine silences peristaltic contractions in ex-vivo cultured gut (Chevalier et al., 2024; Der et al., 2000).

      (6) Organoid fusion experiments are very interesting. It appears that immediately after fusion, the contraction frequency is markedly reduced. Authors should comment on this, and how it changes over time following fusion. Further, is there a relationship between aggregate size and contractile frequency? There are many interesting points that could be discussed here, even if experimental investigation of these points is left to future work.

      It would indeed be interesting to explore how cell communications affect/determine the contraction rhythm, and our novel organoids must serve as an excellent model to address these fundamental questions. We have observed multiple times that when two organoids fuse, they undergo “pause”, and resume coordinated contractions as a whole, and we have mentioned such notice briefly in the revised version (line 282). To know what is going on during this pause time should be tempting. In addition, we have an impression that the larger in size organoids grow, the slower rhythm they count. We would love to explore this in near future.

      (7) Minor: As seen in Movie 6 and Figure 6A, 5uM blebbistatin causes a remarkable increase in the frequency of contractions. Given the regular periodicity of these contractions, it is a surprising and potentially interesting finding, but authors do not comment on it. It would be helpful to note this disparity between 5 and 10 uM treatments, if not to speculate on what it means, even if it is beyond the scope of the present study to understand this further.

      We assume that the increase in the frequency of contractions at 5 µM might be due to a shorter refractory period caused by a decreasing magnitude (amplitude) of contraction. We have made a short description in the revised text (line 256-257).

      (8) Minor: While ENS cells are limited in the organoid, it would be helpful to quantify the number of SMCs for comparison in Supplemental Figure S2. In several images, the number of SMCs appears quite limited as well, and the comparison would lend context and a point of reference for the data presented in Figure S2B.

      In the revised version, the number of SMCs has been counted and added in Fig. S2B. Contrary to that SMCs are more abundant than ICCs in an intact gut, the proportion is reversed in our organoid (line 181-183). It might due to treatments during cell dissociation/plating.

      (9) Minor: additional details in the Figure 8 legend would improve interpretation of these results. For example, what is indicated in orange signal present in panels C, G and H? Is this GCAMP?

      We apologize for this confusion. In the revised version, we have added labeling directly in the photos of new Fig. 9 (old Fig. 8). For C, G and H, the left photo is mRuby3+GCaMP6s, and the right one is GCaMP6s only.

      Recommendations for the authors:

      Reviewer #1 (Recommendations For The Authors):

      I have a few comments for the authors to consider:

      (1) Figure 4C: The authors propose that calcium signals propagate from ICC to SMC based on the results presented in this figure. While it is observed that the peak of the calcium signal in ICC precedes that in SMC, it's worth noting that the onset of the rise in calcium signals occurs simultaneously in ICC and SMC. Doesn't this suggest that they are activated simultaneously? The latency observed for the peaks of calcium signals could reflect different kinetics of the rise in calcium concentration in the two types of cells rather than the order of calcium signal propagation.

      We greatly appreciate these comments. We have re-examined kinetics of GCaMP signals in ICC and SMC, but we did not succeed in validating rise points precisely. We agree that the possibility that the rise in calcium signals could be occurring simultaneously. To clarify these issues, analyses with higher resolution is required, such as using GCaMP6f or GCaMP7/8. Nevertheless, the disappearance of the latency of Ca<sup>2+</sup> peak by CBX implies a role of gap junction in ICC to SMC signaling. In the revised version, we replaced the wording “rise” by “peak” when the latency is discussed.

      (2) Figure 5C: The specific elimination of the latency in the calcium signal peaks between ICC and SMC is interesting. However, I am curious about how gap junction inhibitors specifically eliminate the latency between ICC and SMC without affecting other aspects of calcium transients in these cells, such as amplitude and synchronization among ICCs and/or SMCs. Readers of the manuscript would expect some discussion on possible mechanisms underlying this specificity. Additionally, I wonder if the elimination of the latency was observed consistently across all samples examined. The authors should provide information on the frequency and number of samples examined, and whether the elimination occurs when 18-beta-GA is used.

      In the revised version, we have elaborated quantitative demonstration. For the effects by CBX on latency or Ca<sup>2+</sup> peaks, a new graph has been added to new Fig 5, in which 100 µM eliminated the latency. Intriguingly, the latency appears to be attributed to a gap junction that is not inhibited by18-beta-GA (please see new Fig. S3E). As already mentioned above, inhibiting activity of both CBX and 18-beta-GA has been verified using dissociated cells of embryonic heart, a popular model for gap junction studies.

      At present, we do not know how gap junction(s) contribute to the latency of Ca<sup>2+</sup> peaks without affecting synchronization among ICCs and/or SMCs (we have not addressed amplitude of the oscillation in this study). Actually, it was surprising to us to find that GJ’s contribution is very limited. We do not exclude the importance of GJs, and currently speculate that GJs might be important for the initiation of contraction/oscillation signals, whereas the requirement of GJs diminishes once the ICC-SMC interacting rhythm is established. What we observed in this study might be the synchronization signals AFTER these interactions are established (Day 7 of organoidal culture). Upon the establishment, it is possible that mechanical signaling elicited by smooth muscles’ contraction might become prominent as a mediator for the (stable) synchronization, as implicated by experiments with blebbistatin and Nifedipin, the latter being newly added to the revised version (new Fig. 7). We have added such speculation, although briefly in Discussion (line 374-377)

      (3) Figure 6: The significant effects of blebbistatin on calcium dynamics in both ICC and SMC are intriguing. However, since only one blocker is utilized, the specificity of the effects is unclear. If other blockers for muscle contraction are available, they should be employed. Considering that a rise in calcium concentration precedes contraction, calcium transients should persist even if muscle contraction is inhibited. One concern is whether blebbistatin inadvertently rendered the cells unhealthy. The authors should demonstrate at least that contraction and calcium transients recover after removal of the drug. The frequency and number of samples examined should be shown, as requested for Figure 5C above.

      Thank you for these critical comments. A possible harmfulness of the drugs was also raised by other reviewers, and we have therefore conducted wash-out experiments in the revised version (new Fig. 6B). Contractions resume after wash-out showing that cell viability is not compromised at 10 µM concentration. The number of samples examined has been described more explicitly in the revised version. Regarding the blocker of SMC, we have newly carried out pharmacological assays using nifedipine, a blocker of a L-type Ca<sup>2+</sup> channel known to operate in smooth muscle cells (new Fig 7) (Chevalier et al., 2024; Der et al., 2000). As already explained in the “Responses to eLife assessment”, the treatment abrogated ICCs’ rhythm and synchronous Ca<sup>2+</sup> transients between ICCs and SMCs, further corroborating our model that not only ICC-to-SMC interactions but also SMC-to-ICC feedback signals are operating to achieve coordinated/stable rhythm of gut contractile organoids of Day 7 culture (please also see our responses shown above for Comment (2)).

      Reviewer #2 (Recommendations For The Authors):

      Major:

      (1) The claim that organoids contain functional SMCs and ICCs is insufficient as it currently relies on only c-Kit and aSMA antibodies. This conclusion could be additionally supported by staining with other markers of contractile smooth muscle (e.g. TAGLN and MYH14) and an additional accepted marker of ICCs (e.g. ANO1/TMEM16). Moreover, it should be demonstrated whether these cells are PDGFRA+, as PDGFRA is a known marker of other mesenchymal fibroblast cell types. These experiments would additionally rule out whether these cells were simply less differentiated myofibroblasts. Given that there might not be available antibodies that react with chicken protein versions, the authors could support their conclusions using alternative approaches, such as fluorescent in situ hybridization. A more thorough approach, such as single-cell RNA sequencing to compare the cell composition of the in vitro organoids to the in vivo colon, would fully justify the use of these organoids as a system for studying in vivo cell physiology.

      With these suggestions provided, we have newly stained contractile organoids with anti-desmin antibody, known to be a marker for differentiated SMCs. As shown in new Fig. 3B, desmin-positive cells perfectly overlapped with aSMA-staining, indicating that the peripherally enclosing cells are SMCs. Regarding the interior cells, as this Reviewer concerned, there are no antibodies against ANO1/TMEM16 which are available for avian specimens. The anti- c-Kit antibody used in this study is what we raised in our hands by spending years (Yagasaki et al., 2021)), in which the antibody was carefully validated in intact guts of chicken embryos by multiple methods including Western Blot analyses, immunostaining, and in situ hybridization. We have attempted several times to perform organoidal whole-mount in situ hybridization for expression of PDGFRα, but we have not succeeded so far. In addition, as explained to the Editor, the very unhealthy condition of purchased eggs these past 7 months did not allow us to continue any further. We are planning to interrogate cell types residing in the central area of the organoid, results of which will be reported in a separate paper in near future.

      (2) The key ICC-SMC relationship and physiological interaction seems to arise developmentally, but the mechanisms of this transition are not well defined (Chevalier 2020). To further support the claim that ICC-SMC interactions can be interrogated in this system, this study would benefit from establishing organoids at distinct developmental stages to (a) show that they have unique contractile profiles, and (b) demonstrate that they evolve over time in vitro toward an ICC-driven mechanism.

      We agree with these comments. We tried to prepare gut contractile organoids derived from different stages of development, and we had an impression that slightly younger hindguts are available for the organoid preparations. In addition, not only the hindgut, but also midgut and caecum also yield organoids. However, since formed organoids derived from these “non-E15 hindgut” vary substantially in shapes, contraction frequencies/amplitudes etc., we are currently not ready to report these preliminary observations. Instead, we decided to optimize and elaborate in vitro culture conditions by focusing on the E15 hindgut, which turned out to be most stable in our hands. Nevertheless, it is tempting to see how organoid evolves over time during gut development.

      (3) This manuscript would be greatly enhanced by a functional examination of the prospective organoid ICCs. For example, the authors could test whether the c-Kit inhibitor Imatinib, which has previously been used to impair ICC differentiation and function in the developing chick gut (Chevalier 2020), has an effect on contractility at different stages.

      Following the paper of (Chevalier 2020), we had already conducted similar experiments with Imatinib in the culture with our organoids, but we did not see detectable effects. In that paper, the midgut of younger embryos was used, whereas we used E15 hindgut to prepare organoids. It would be interesting to see if we add Imanitib earlier during organoidal formation, and this is a next step to go.

      (4) It is claimed that there is a 690s msec delay in SMC spike relative to ICC spike, however, it is unclear where this average is derived from and whether the organoid calcium trace shown in Figure 4C is representative of the data. The latency quantification should be shown across multiple organoids, and again in the case of carbenoxolone treatment, to better understand the variations in treatment.

      We apologize that the first version failed to clearly demonstrate quantitative assessments. In the revised version, we have elaborated quantitative assessments (117 peaks for 14 organoids) (line 216-218). In new Fig. 4D, measured value is 700 msecterraced since as already mentioned in the first version, the time-lapse imaging was performed with 700 msec intervals.

      (5) As above, a larger issue is that only single traces are shown for each organoid. This makes it challenging to understand the variance in contractile properties across multiple organoids. While contraction frequencies are shown several times, the manuscript would benefit from additional quantifications, such as rhythm (average wavelength between events) in control and perturbed conditions.

      We have substantially elaborated quantitative assessments (please also see our responses to the “Public Review”). In particular, in place of contraction numbers/time, we have plotted “contraction intervals” between two successive peaks (Fig. 2B and others). Actually, we have tried to perform a periodicity analysis of organoid contractions. Unfortunately, no clear value has been obtained, probably because the contractions/Ca<sup>2+</sup> transitions are not as “regularly periodical” as seen in conventional physics. This led us to perform the peak-interval analysis. Methods to quantify the contraction intervals are carefully explained in the revised version.

      (6) The synchronicity observed between ICCs and SMCs within the organoid is interesting, and should be emphasized by making analyses more quantitative so as to understand how consistent and reproducible this phenomenon is across organoids. Moreover, one of the most exciting parts of the study is the synchronicity established between organoids in the hydrogel system, but it is insufficiently quantified. For example, how rapidly is pacemaking synchronization achieved?

      As we replied above to (5), and described in the responses to the “Public Review”, we have substantially elaborated quantitative assessments in the revised version. Concerning the synchronicity between ICCs and SMCs, our data explicitly show that as long as the organoid undergoes healthy contraction, they perfectly match their rhythm (Fig. 4) making it difficult to display quantitatively. Instead, to demonstrate such synchronicity more convincingly, we have carefully described the number of peaks and the number of independent organoids we analyzed in each of Figure legends. In the experiments with hydrogels, the time required for two organoids to start/resume synchronous contraction varies greatly. For example, for the experiment shown in new Fig 9F, it takes 1 day to 2 days for cells crawling out of organoids and cover the surface of the hydrogel. In the experiments shown in new Fig. 8, two organoids undergo “pause” before resuming contractions. In the revised version, we have briefly mentioned our notice and speculation that active cell communications take place during this pausing time, (line 282-283 in Result and line 437-439 in Discussion). We agree with this reviewer saying that the pausing time is potentially very interesting. However, it is currently difficult to quantify these phenomena. More elaborate experimental design might be needed.

      (7) Smooth muscle layers in vivo are well organized into circular and longitudinal layers. To establish physiological relevance, the authors should demonstrate if these organoids have multiple layers (though it looks like just a single outer layer) and if they show supracellular organization across the organoid.

      The immunostaining data suggest that peripherally lining cells are of a single layer, and we assume that they might be aligned in register with contracting direction. However, to clarify these issues, observation with higher resolution would be required.

      (8) To further examine whether the organoids contain true functional ICCs, the authors should test whether their calcium transients are impacted by inhibitors of L-type calcium channels, such as nifedipine and nicardipine. These channels have been demonstrated to be important for SMCs but not ICCs, so one might expect to see continued transients in the core ICCs but a loss of them in SMCs (Lee et al., 1999; PMID: 10444456)

      We appreciate these comments. We have accordingly conducted new experiments with Nifedipine. Contrary to the expectation, Nifedipine ceases not only organoidal contractions, but also ICC activities (and its resulting synchronization) (new Fig. 7). These findings actually corroborate our model already mentioned in the first version that ICCs receive mechanical feedback from SMC’s contraction to stably maintain their oscillatory rhythm. We believe that the additional findings with Nifedipine have improved the quality of our paper. Concerning the central cells in the organoid, we have additionally used anti-desmin antibody known to mark differentiated SMCs. Desmin signals perfectly overlap with those of aSMA in the peripheral single layer, supporting that the peripheral cells are SMCs and central cells are ICCs. The anti c-Kit antibody used in this study is what we raised in our hands by spending years (Yagasaki et al., 2021)), in which the antibody was carefully validated in intact guts of chicken embryos by multiple methods including Western Blot analyses, immunostaining, and in situ hybridization.

      ANO1/TMEM16 are known to stain ICCs in mice. Antibodies against ANO1/TMEM16 available for avian specimens are awaited.

      (9) Despite Tuj1+ enteric neurons only making up a small fraction of the organoids, the authors should still functionally test whether they regulate any aspect of contractility by treating organoids with an inhibitor such as tetrodotoxin to rule out a role for them.

      Thank you for these advices, which are also raised by other reviewers. We have conducted TTX administration (new Fig. S2C). Changes in contractility by this treatment is not detected, supporting the argument that neural cells/activities are not essential for rhythmic contractions of the organoid (line 178-181).

      (10) Finally, the manuscript is written to suggest that the focus of the study is to establish a system to interrogate ICC-SMC interactions in gut physiology and peristalsis. However, the organoids designed in this study are derived from the fetal precursors to the adult cell types. Thus, they might not accurately portray the adult cell physiology. I don't believe that this is a downfall, but rather a strength of the study that should be emphasized. That is, the focus could be shifted toward stressing the power of this new system as a reductionist, self-organizing model to examine the developmental emergence of contractile synchronization in the intestine - in particular that arising through ICC-SMC interactions.

      We appreciate these advices. In the revised MS, we are careful so that our findings do not necessarily portray the physiological functions in adult gut.

      Minor:

      More technical information could be used in the methods:

      (1) What concentration of Matrigel is used for coating, and what size were the wells that cells were deposited into?

      We have added, “14-mm diameter glass-bottom dishes (Matsunami, D11130H)” and “undiluted Matrigel (Corning, 354248) at 38.5°C for 20 min” (line 471473).

      (2) How were organoids transferred to the hydrogels? And were the hydrogels coated?

      We have added “Organoids were transferred to the hydrogel using a glass capillary” (line 560-561).

      (3) Tests for significance and p values should be added where appropriate (e.g. Figure S3B).

      We have added these in Figure legend of new Fig. S3.

      Reviewer #3 (Recommendations For The Authors):

      This is an exciting study, and while the majority of our comments are minor suggestions to improve the clarity and impact of findings, it would be important to verify the effective disruption of GAP junction function with CBX or 18Beta-GA treatments before concluding they are not required for coordination of contractility and initiation by ICCs. It is possible that sufficient contextual support exists in the literature for the nature of treatments used, but this may need to be conveyed within the manuscript to allay concerns that the results could be explained by ineffective inhibition of GAP junctions.

      Thank you very much for these advices. In the revised version, we have newly carried out experiments with dissociated embryonic heart cells cultured in vitro, a model widely used for gap junction studies (Fig. S3D). Both CBX or 18b-GA exert efficient inhibiting activity on contractions of heart cells. We have added the following sentence, “The inhibiting activity of the drugs used here was verified using embryonic heart culture (line 237-239)”.

    1. Reviewer #2 (Public review):

      Summary:

      By measuring intracellular changes in membrane voltage from a single neuron of the medulla the authors attempted to develop a method for determining the balance of excitatory and inhibitory synaptic drive onto a single neuron.

      Strengths:

      This data-driven approach to explore neural circuits is described well in this study and could be valuable in identifying microcircuits that generate rhythms. Importantly, perhaps, this inference method could enable microcircuits to be studied without the need for time-consuming anatomical tracing or other more involved electrophysiological techniques. Therefore, I can see the value in developing an approach of this type.

      Weaknesses:

      The implications of several assumptions associated with this inference technique have been considered by the authors.

      Most importantly, it is my understanding that this approach assumes a linear I-V when extracting information about the excitatory and inhibitory synaptic conductances (see equations 6 and 7). In Figure 6, the authors explore the impact of varying the reversal potential for the extraction of information about synaptic drive, but this still assumes that the underlying conductance is linear. However, open rectification will be a feature of any conductance generated by asymmetric distributions of ions (see the GHK current equation) and will therefore be a particular issue for the inhibition resulting from asymmetrical Cl- ion gradients across GABA-A receptors as well as the K+ conductance indirectly activated by GABA-B receptor activation. The mixed cation conductance that underlies most synaptic excitation will also generate a non-linear I-V relationship due to the inward rectification associated with polyamine block of AMPA receptors. The authors present evidence that the I-V relationship is linear over most of the voltage range examined, and this is a helpful addition. The authors have discussed the absence of active conductances contributing to the I-V, but I still wonder how the extraction of information concerning the excitatory and inhibitory conductances relies on the assumption of a linear I-V for these conductances.

      This approach has similarities to earlier studies undertaken in the visual cortex that estimated the excitatory and inhibitory synaptic conductance changes that contributed to membrane voltage changes during receptive field stimulation. However, these approaches also involved the recording of transmembrane current changes during visual stimulation that were undertaken in voltage-clamp at various command voltages to estimate the underlying conductance changes. Molkov et al have attempted to essentially deconvolve the underlying conductance changes without this information and I am concerned that this simply may not be possible. However, I appreciate the efforts taken by the authors to address this issue.

      The current balance equation (1) cited in this study is based upon the parallel conductance model developed by Hodgkin & Huxley. One key element of the HH equations is the inclusion of an estimate of the capacitive current generated due to the change in voltage across the membrane capacitance. While the present study considers the impact of membrane capacitance, a deeper discussion on how variations in capacitance across different neuron types might affect inference accuracy would be useful. Differences in capacitance could introduce variability in inferred conductances, potentially influencing model predictions.

      Studies using acute slicing preparations to examine circuit effects have often been limited to the study of small microcircuits, especially feedforward and feedback interneuron circuits. It is widely accepted that any information gained from this approach will always be compromised by the absence of patterned afferent input from outside the brain region being studied. In this study, descending control from the Pons and the neocortex will not be contributing much to the synaptic drive and ascending information from respiratory muscles will also be absent completely. This may not have been such a major concern if this study had been limited to demonstrating the feasibility of a methodological approach. However, this limitation does need to be considered when using an approach of this type to speculate on the prevalence of specific circuit motifs within the medulla (Figure 4). Therefore, I would argue that some discussion of this limitation should be included in this manuscript.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The study aims to create a comprehensive repository about the changes in protein abundance and their modification during oocyte maturation in Xenopus laevis.

      Strengths:

      The results contribute meaningfully to the field.

      Weaknesses:

      The manuscript could have benefitted from more comprehensive analyses and clearer writing. Nonetheless, the key findings are robust and offer a valuable resource for the scientific community.

      We would like to thank the reviewer for his/her positive feedback on our article. The public review points out that "The manuscript could have benefitted from more comprehensive analyses and clearer writing." We have rewritten several sections and provided more detailed explanations of the analysis and interpretation of some data (see below for details). We have also followed all of the reviewer's recommendations, some of which specifically highlighted areas lacking clarity. We would also like to thank the reviewer for pointing out some errors, for which we apologize, and which have now been corrected. We sincerely appreciate the reviewer's thorough work, as it has greatly enhanced the clarity and precision of the manuscript.

      Reviewer #2 (Public review):

      Summary:

      The authors analyzed Xenopus oocytes at different stages of meiosis using quantitative phosphoproteomics. Their advanced methods and analyses revealed changes in protein abundances and phosphorylation states to an unprecedented depth and quantitative detail. In the manuscript they provide an excellent interpretation of these findings putting them in the context of past literature in Xenopus as well as in other model systems.

      Strengths:

      High quality data, careful and detailed analysis, outstanding interpretation in the context of the large body of the literature.

      Weaknesses:

      Merely a resource, none of the findings are tested in functional experiments.

      I am very impressed by the quality of the data and the careful and detailed interpretation of the findings. In this form the manuscript will be an excellent resource to the cell division community in general, and it presents a very large number of hypotheses that can be tested in future experiments. Xenopus has been and still is a popular and powerful model system that led to critical discoveries around countless cellular processes, including the spindle, nuclear envelope, translational regulation, just to name a few. This also includes a huge body of literature on the cell cycle describing its phosphoregulation. It is indeed somewhat frustrating to see that these earlier studies using phosphomutants and phospho-antibodies were just scratching the surface. The phosphoproteomics analysis presented here reveals much more extensive and much more dynamic changes in phosphorylation states. Thereby, in my opinion, this manuscript opens a completely new chapter in this line of research, setting the stage for more systematic future studies.

      We thank the reviewer for his/her extremely positive comments. The public review points out that "none of the findings are tested in functional experiments." This is entirely accurate. We focused our work on obtaining the highest quality proteomic and phosphoproteomic data possible, and then sought to highlight these data by connecting them with existing functional data from the literature. This approach has opened up research avenues with enormous, previously unforeseen potential, in a wide range of biological fields (cell cycle, meiosis, oogenesis, embryonic development, cell biology, cellular physiology, signaling, evolution, etc.). We chose not to delay publication by experimentally investigating the narrow area in which we are specialists (meiotic maturation), while our data offer a vast array of research opportunities across various fields. Our goal was, therefore, to present this extensive dataset as a resource for different scientific communities, who can explore their specific biological questions using our data. This is why we submitted our article to the "Repository" section of eLife. Nevertheless, in the context of the comparative analysis of the mouse and Xenopus phosphoproteomes performed at the reviewer’s request, we felt it was important to complement this new section with functional experiments that not only validate the proteomic data but also provide new insights into certain proteins and their regulation by Cdk1 (new paragraph lines 824-860 and new Figure 9).

      We are also grateful to the reviewer for the recommendation to improve the manuscript by including more comparisons between our Xenopus data and those from other systems. We have followed this suggestion (see below), which has significantly enriched the article (new paragraph lines 824-860 and new Figure 9).

      Reviewer #3 (Public review):

      Summary:

      The authors performed time-resolved proteomics and phospho-proteomics in Xenopus oocytes from prophase I through the MII arrest of the unfertilized egg. The data contains protein abundance and phosphorylation sites of a large number set of proteins at different stages of oocyte maturation. The large sets of the data are of high quality. In addition, the authors discussed several key pathways critical for the maturation. The data is very useful for the researchers not only researchers in Xenopus oocytes but also those in oocyte biology in other organisms.

      Strengths:

      The data of proteomics and phospho-proteomics in Xenopus oocyte maturation is very useful for future studies to understand molecular networks in oocyte maturation.

      Weaknesses:

      Although the authors offered molecular pathways of the phosphorylation in the translation, protein degradation, cell cycle regulation, and chromosome segregation. The author did not check the validity of the molecular pathways based on their proteomic data by the experimentation.

      We thank the reviewer for his/her positive comments. The public review points out that "The author did not check the validity of the molecular pathways based on their proteomic data by the experimentation." This is entirely accurate. We focused our work on obtaining the highest quality proteomic and phosphoproteomic data possible, and then sought to highlight these data by connecting them with existing functional data from the literature. This approach has opened up research avenues with enormous, previously unforeseen potential, in a wide range of biological fields (cell cycle, meiosis, oogenesis, embryonic development, cell biology, cellular physiology, signaling, evolution, etc.). We chose not to delay publication by experimentally investigating the very narrow area in which we are specialists (meiotic maturation), while our data offer a vast array of research opportunities across various fields. Our goal was, therefore, to present this extensive dataset as a resource for different scientific communities, who can explore their specific biological questions using our data. This is why we submitted our article to the "Repository" section of eLife. Nevertheless, in the context of the comparative analysis of the mouse and Xenopus phosphoproteomes performed at the reviewer’s request, we felt it was important to complement this new section with functional experiments that not only validate the proteomic data but also provide new insights into certain proteins and their regulation by Cdk1 (new paragraph lines 824-860 and new Figure 9).

      We have also followed all of the reviewer's recommendations and thank him/her, as the suggestions have significantly enhanced the manuscript.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      (1) Fig. 1 -> In the Figure legend "mPRβ" is called "mPRb". In the Figure, it is indicated that PKA substrates are always activated by the phosphorylation. As the relevant substrates and the mode-of-action of the Arpp19 phosphorylation are not clear at the moment, this seems to be preliminary. It could for example also be conceivable that PKA phosphorylation inhibits a translation activator. In addition, the PG-dependent translation of RINGO/Speedy should be included in the model.

      We fully agree with the reviewer. PKA substrates can either be activators of the Cdk1 activation pathway, which are inhibited by phosphorylation by PKA, or repressors of the same pathway, which are activated by phosphorylation by PKA. This is now illustrated in the new Fig. 1. In addition, we have also included RINGO/Speedy in the model and in the text (lines 78-79) and corrected "mPRb" in the legend.

      (2) Lane 51-52 -> it is questionable if the meiotic divisions can be called "embryonic processes"

      We agree with the reviewer comment, and we have removed the word “embryonic”.

      (3) Lane 53 and lane 106-107 -> recent data have indicated that transcription already starts during cell cycle 12 and 13 in most cells (e.g. Blitz and Cho: Control of zygotic genome activation in Xenopus (2021))

      We apologize for this mistake. The text has been corrected and the reference added (lines 53 and 107).

      (4) Lane 61-62 -> "MI" and "MII" are given as abbreviation for "first and second meiotic spindle"

      The text has been clarified to explain that MI is referred to metaphase I and MII stands for metaphase II (lines 61-64).

      (%) Lane 131-132 -> "single-cell" is mentioned redundantly in this sentence.

      The sentence has been corrected (lines 131-132).

      (6) Fig. 2B -> it is not explained what is plotted as "Average levels" on the x-Axis. Is it the average of expression over all samples or at a given time point? Are the values given as a concentration or are the values normalized? If so, how were they normalized?

      We agree with the reviewer comment that “Average levels” may have been unclear. In the new Fig. 2B, we have re-plotted the graph using the average protein concentration during meiosis, measured as described in the Methods section.

      (7) In Fig. 2-supplement 3E -> from the descriptions it is not entirely clear to me what the difference to the data in Fig. 2B is?

      We thank the reviewer for his/her question regarding the relationship between the data in Fig. 2B and Fig. 2-supplement 3E. We confirm that the raw data visualized in Fig. 2-supplement 3E are the same as those in Fig. 2B. However, in Fig. 2-supplement 3E, the data are color-coded differently to highlight the number of proteins whose concentrations change during meiotic divisions, based on the threshold adopted. The legend of Fig. 2-supplement 3E has been modified to clarify this point.

      (8) Lane 225-226 -> Kifc1 is a minus-end directed motor

      This mistake has been corrected (lines 232-233).

      (9) Lane 271 -> Serbp1, here mentioned to be involved in stabilization of mRNAs, has also been implicated in the regulation of ribosomes (e.g. Leesch et al. 2023). Regarding the overall topic of this manuscript, this could be mentioned as well.

      We agree with the referee that the important role of Serbp1 in the control of ribosome hibernation needs to be mentioned. We have included this point in the revised manuscript together with the reference (lines 277-279).

      (10) Lane 360-363 -> it is mentioned that APPL1 and Akt2 act "to induce meiosis". Furthermore, in the Nader et al. 2020 paper, Akt2 phosphorylation is reported to happen within 30min after PG treatment. In the present work, they only seem to get phosphorylated when Cdk1 is activated. Is there an explanation for this discrepancy?

      Indeed, Nader et al. (2020) indicate that Akt2 is phosphorylated on Ser473 (actually, they should have mentioned Ser474, which is the phosphorylated residue on Akt2; Ser473 corresponds to the numbering of Akt1) between 5 and 30 minutes post-Pg, which supports their hypothesis of an early role for this kinase. However, these conclusions should be taken with caution, considering that their functional experiment using antisense against Akt2 depletes only 25% of the protein, the antibody used to visualize Akt2 phosphorylation also recognizes phosphorylated Akt1 and Akt3, and they did not analyze phosphorylation of the protein after 30 minutes. Therefore, we cannot determine whether the level observed at 30 minutes represents a maximum or if it is just the onset of the phosphorylation that peaks later, possibly after activation of Cdk1, for example.

      Regarding our measurements: we clearly observe phosphorylation of Akt2 following Cdk1 activation on Ser131. We did not detect Akt2 phosphorylation on Ser474, but since our measurements started 1 hour post-Pg, this protein may have returned to a dephosphorylated state on Ser474.

      Therefore, the observations of Nader et al. and ours involve different residues and different phosphorylation kinetics, Nader et al. limiting their analysis to the first 30 minutes, whereas we started at 1 hour.

      We have revised the manuscript text to make these aspects clearer (lines 387-392).

      (11) Fig. 3B -> it could be made clearer in the Figure that all these sites belong to class I

      A title “Class I proteins” has been added in Fig. 3B to clarify it.

      (12) Lane 433-434 -> the authors write that the proteomic data of this study confirm that PATL1 is accumulating during meiotic maturation. However, in Fig. 2B PATL1 is not among the significantly enriched proteins.

      We apologize for this error. Indeed, PATL1 protein is not significantly enriched. The text has been corrected (lines 461-465).

      (13) Fig. 4B -> Zar2 is color-coded to increase in abundance. This is clearly different to published results and what is shown in Fig. 2B of this manuscript.

      Indeed, our dataset shows that the quantity of Zar2 decreases. This does not appear anymore in Figure 2B since Zar2 average concentration cannot be estimated. We made an error in the color coding, which has now been corrected in Figure 4B.

      (14) Lane 442-444 -> it might be worth mentioning that the interaction between CPEB1 and Maskin, and thus probably its role in regulation of translation, could not be reproduced in other studies (Minshall et al.: CPEB interacts with an ovary-specific eIF4E and 4E-T in early Xenopus oocytes (2007) or Duran-Arque et al.: Comparative analyses of vertebrate CPEB proteins define two subfamilies with coordinated yet distinct functions in post-transcriptional gene regulation (2022)).

      This clarification is now mentioned in the text, supported by the two references that have been added (lines 471-477).

      (15) Lane 483-485 -> The meaning of these sentences is not entirely clear to me. What exactly is the similarity with the function of Emi1? What does "...binding of Cyclin B1..." mean (binding to which other protein?). What is the similarity between Emi1 and CPEB1/BTG4, both of which are regulators of mRNA stability/polyadenylation?

      We apologize if these sentences were unclear. Our intention was to emphasize the central role of ubiquitin ligases in regulating multiple events during meiotic divisions. We used SCF<sup>βTrCP</sup>, a wellstudied ubiquitin ligase in Xenopus and mouse oocytes during meiosis, as an example. SCF<sup>βTrCP</sup> regulates the degradation of several substrates, including Emi1, Emi2, CPEB1, and Btg4, whose degradation or stabilization is essential for the proper progression of meiosis. Lastly, we highlighted that these regulatory processes, mediated by protein degradation, may be conserved in mitosis, as for example the destruction of Emi1. We have rewritten this paragraph for clarity (lines 513-518).

      (16) Lane 521-522 and 572-573 -> the authors write that Myt1 was not detected in their proteome. However, in Fig. 6A they list "pkmyt1" as a class II protein. On Xenbase, "pkmyt1" is the Cdk1 kinase, "Myt1" is a transcription factor, so the authors might have been looking for the wrong protein.

      We thank the reviewer for this accurate observation. We have modified the text to correct this error (lines 554 and 607).

      (17) Lane 564-565 -> The authors state that Cdk1 activity can be measured by analyzing Cdc27 S428 phosphorylation. However, in vivo the net phosphorylation of a site is always depending on the relevant kinase and phosphatase activities. As S428 is a Cdk1 site, it is not unlikely that it is dephosphorylated by PP2A-B55, which by itself is under the control of Cdk1. Do the authors have direct evidence that the change in phosphorylation of S428 can only be attributed to the changes in Cdk1 activity?

      There is evidence in the literature that Cdc27 is dephosphorylated by PP2A (Torres et al., 2010). In Xenopus oocytes, PP2A activity is high during prophase (Lemonnier et al., 2021) and decreases at the time of Cdk1 activation, mediated by the Greatwall-ENSA/Arpp19 system, remaining low until MII (Labbé et al., 2021). Therefore, the period where fluctuations in Cdk1 activity are difficult to assess, from NEBD to MII, corresponds to a phase of inhibited PP2A activity. As a result, the phosphorylation level of Cdc27 reflects primarily the activity of Cdk1. We have added this clarification in the text (lines 597-600).

      (18) Fig. 7C and 7D -> in 7C, for Nup35/Nup53 there is a phospho-peptide GIMEVRS(60)PPLHSGG. In Fig. 7D phosphorylation of GVMEMRS(59)PLFSGG is analyzed. Is this the same phosphosite/region of Nup35/Nup53? How can there be a slightly different version of the same peptide in one protein? Are these the L- and S-version of Nup35/Nup53? It is also very surprising that the two phosphosites belong to different classes, class III and class II, respectively.

      We thank the reviewer for this observation. The peptides GIMEVRS(60)PPLHSGG and GVMEMRS(59)PLFSGG correspond to the same phosphorylation site in the L and S versions of Xenopus laevis Nup35, respectively. The L version peptide was classified as Class III, while the S version was not assigned to any class due to its high phosphorylation level in prophase, which prevented it from meeting the log<sub>2</sub> fold-change threshold of 1 required by our analysis to detect significant differences.

      (19) Table 1 -> second last column is headed "Whur, 2014"

      The typo has been corrected.

      (20) Fig. 8 -> Why are all the traces starting at t=1h after PG?

      The labeling of the graphs in Fig. 8 has been corrected, and the traces now begin at t0.

      (21) Lane 754 -> Although a minority, there are also some minus-end directed kinesins, e.g. Kifc1

      We agree with the reviewer. We should have mentioned that, in addition to dyneins, some kinesins are minus-end directed motors, especially since one of them, Kifc1, is regulated at the level of its accumulation. We have rephrased the relevant sentences to incorporate this observation (lines 790-793).

      (22) Section "Assembly of microtubule spindles and microtubule dynamics" -> Although this section clearly has a strong focus on phosphorylation, it might be worth mentioning again that many regulators of the microtubule spindle, e.g. TXP2, are among the upregulated proteins in Fig. 2B/C

      We have already discussed that the protein levels of certain key regulators of the mitotic spindle (Tpx2, PRC1, SSX2IP, Kif11/Eg5 among others) are subject to control during meiotic maturation in a previous chapter “Protein accumulation: the machinery of cell division and DNA replication” (lines 230-239). We agree with the reviewer that this important observation can be mentioned again at the beginning of this chapter on phosphorylation control. We have added a sentence regarding this at the start of the paragraph (lines 774-775).

      Reviewer #2 (Recommendations for the authors):

      While I find the manuscript excellent and detailed already in its current form, I would appreciate including even more comparisons to other systems. In particular, a similar phosphoproteomics experiment has been performed in starfish oocytes undergoing meiosis (Swartz et al, eLife, 2021), and there are several studies on mitosis of diverse mammalian cells. It would be very exciting to see to what extent changes are conserved.

      We thank the reviewer for this recommendation, which we have attempted to follow. We have matched our dataset of mass spectrometry using the the phosphor-occupancy_matlab package, available as part of our code repository (https://github.com/elizabeth-van-itallie) previously described in (Van Itallie et al, 2025). Unfortunately, we were unable to match our dataset with the data from Swartz et al. (2021) on starfish oocyte due to the low sequence conservation. However, we have compared our dataset with the dataset from Sun et al. (2024) on mouse oocyte maturation. We identified a total of 408 conserved phosphorylation sites, which mapped to 320 proteins in Xenopus and 277 in mice (refer to a new paragraph: lines 824-860, new Figure 9, Methods: lines 1011-1032 and 1060-1065, and Appendix 7). The phosphorylation patterns during meiosis showed a significant crossspecies correlation (Pearson r = 0.39, p < 0.0001; see new Figure 9A), demonstrating the evolutionary conservation of phosphoproteomic regulation. Important phosphorylation events, including Plk1 at T201, Gwl at S467, and Erk2 at T188, were upregulated in both species, in line with the activation of the Cdk1 and MAPK signaling cascades (Figure 6B, new Figure 9A-B). We validated several of these phosphorylation sites by western blotting and demonstrated their dependency on Cdk1 activation (new Figure 9C). Together, these findings reinforce the notion that fundamental phospho-regulatory pathways are conserved during oocyte maturation in vertebrates.

      Reviewer #3 (Recommendations for the authors):

      (1) Page 6, the first paragraph of Results section: Please describe the method on how the authors measured and quantified the proteomes in different stages of Xenopus oocyte maturation briefly. Without the experimental design, it is very hard to evaluate the results in the following paragraphs.

      As requested by the reviewer, we added a few sentences describing the method of proteomics and phosphoproteomics measurements in oocytes resuming meiosis (lines 151-158).

      (2) In the phospho-proteome, it is better to classify the amino acids for the phosphorylation such as Ser, Thr, and Tyr. Particularly how many tyrosine phosphorylations are in the list.

      Our phosphosites dataset contains 80% Ser, 19.9% Thr, and 0.01% Tyr. Phospho-Tyr are slightly less abundant than what has been described in the literature (in most cells “roughly 85-90% of protein phosphorylation happens on Ser, ~10% on Thr, and less than 0.05% on Tyr" after Sharma et al., 2014. The same observation was made regarding the distribution of phosphorylated amino acids in mouse oocytes, where phospho-Tyr abundance is relatively diminished in oocytes compared to mouse organs (Sun et al., 2024). These observations are now reported in the manuscript (lines 309-313).

      (3) In class II (Figure 3), when Cdk1 (line 326) is a major kinase, how many phosphorylation sites are a target of Cdk1 (with the Cdk1-motif)? Moreover, do the authors find any other consensus sequences for the phosphorylation? Those are either known or unknown. This information would be useful for the readers.

      We thank the reviewer for this valuable comment. To address it, we used the kinase prediction server (https://kinase-library.phosphosite.org/kinase-library/score-site) to analyze Class II phosphosites. These new results are mentioned in lines 340-349 and illustrated in a new Figure (Figure 3—figure supplement 1A). We identified 303 sites predicted to be phosphorylated by Cdk1. Of these, 166 were also predicted as Erk1/2 targets, reflecting the similarity between Cdk1 and Erk1/2 consensus motifs.

      Cdk1 substrate phosphorylation is governed by more than just the presence of a consensus sequence. In addition to its preference for the (S/T)P×(K/R) motif, Cdk1/cyclin complexes achieve specificity through docking interactions with short linear motifs (SLiMs) recognized by the cyclin subunit (as LxF motifs)(Loog & Morgan, 2005), and via the Cdk-binding subunits Cks1 or Cks2, which interact with phosphorylated threonine residues in primed substrates (Örd et al, 2019). These mechanisms promote processive multisite phosphorylation and allow Cdk1 to target substrates even at non-canonical sites. Our motif-based analysis captures only part of this complexity and may underestimate the number of true Cdk1 targets.

      To further explore kinase involvement across phosphosite classes, we extended the analysis to all clusters and identified the most enriched kinase predictions for each (lines 360-365, new Figure 3— figure supplement 1B). In Class II, the most enriched kinases included Cdk1, Erk2, and Plk1, supporting the conclusions derived from the identification of the phosphosites of this Class. But others such as Cdk2, Cdk3, Cdk5, Cdk16, KIS, JNK1, and JNK3 were also identified.

      (4) Figure 3B: Why do the authors show this kind of Table only for Class I, not Classes II-V? It would be informative to show candidate proteins in other classes.

      We chose to present the candidate proteins from Class I in a table format because the number of phosphosites (136) was too small to allow a meaningful Gene Ontology (GO) enrichment analysis. Therefore, we manually curated the data and highlighted proteins whose Class I phosphosites are associated with specific biological processes. For Classes II–V, the higher number of phosphosites allowed us to perform GO enrichment analyses. Since several of the enriched processes were shared across different classes, and some proteins have phosphosites in multiple classes, we opted to organize the results by biological processes rather than by class. We agree with the reviewer that it is indeed valuable to highlight interesting proteins with Class II–V phosphosites. We have done so in Figures 4 through 8, using graphical representations instead of tables, in order to make the data more accessible and avoid long tables. Additionally, the Supplementary Figures provide detailed phosphorylation trends for many of the proteins discussed in the main figures.

      (5) It would be nice if the authors compare this phospho-proteome in Xenopus oocyte maturation with that in mouse oocyte maturation (Sun et al. 2024) in terms of evolutional conservation of the phospho-proteomes.

      We thank the reviewer for this suggestion. As now detailed in the manuscript, we compared our Xenopus phosphoproteome with the dataset from Sun et al. (2024) on mouse oocyte maturation using the the phospho_occupancy_matlab package, available as part of our code repository (https://github.com/elizabeth-van-itallie) previously described in (Van Itallie et al, 2025). We identified 408 conserved phosphorylation sites corresponding to 320 Xenopus and 277 mouse proteins (see new paragraph: lines 824-860, new Figure 9, Methods: lines 1011-1032 and 1060-1065, and Appendix 7). Phosphorylation dynamics across meiosis were significantly correlated between the species (Pearson r = 0.39, p < 0.0001; new Figure 9A), highlighting evolutionary conservation of the phosphoproteomes. Key phosphorylation events such as Plk1 at T201, Gwl at S467, and Erk2 at T188 increased in both species, consistent with activation of the Cdk1 and MAPK pathways (Figure 6B, new Figure 9A–B). We validated experimentally several of these phosphorylation sites by western blot (Erk2, Plk1, Fak1 and Akts1) and demonstrated their dependency on Cdk1 activation (new Figure 9C). Together, these new findings support the conservation of key phospho-regulatory mechanisms across vertebrate oocyte maturation.

      Minor points:

      (1) Reference lists: Please add Sun et al (2024) shown in line 115.

      This important reference has been added (lines 115, 134, 313 and 826).

      (2) Figure 1, red arrows for the inhibition: This should be "T" shape for a better understanding of these complicated pathways.

      We agree with the reviewer’s remark, and we have modified Figure 1.

      (3) Line 236-238: The authors referred to the absence of Cdc6 in oocyte maturation in Xenopus. However, Figure 2C shows that Cdc6 belongs to a list of accumulating proteins with Orc1 and Ocr2 etc. and the authors did not discuss this discrepancy in the text. Please clarity the claim.

      We apologize for the unclear wording in our text. The section of the manuscript regarding the pre-RC components may have been misleading. The text has been revised to clarify that Cdc6 was not detected in prophase-arrested oocytes by western blot and that it accumulates during meiotic maturation after MI, enabling oocytes to replicate DNA (lines 243-250).

      (4) Line 306: Please add the link to phosphosite.org.

      The link has been added (line 319).

    1. The stomach releases gastric juices containing hydrochloric acid and the enzyme, pepsin, which initiate the breakdown of the protein. The acidity of the stomach facilitates the unfolding of the proteins that still retain part of their three-dimensional structure after cooking and helps break down the protein aggregates formed during cooking. Pepsin, which is secreted by the cells that line the stomach, dismantles the protein chains into smaller and smaller fragments.

      Step 2 of Digestion

    1. Reviewer #1 (Public review):

      Summary:

      This manuscript presents a compelling study identifying RBMX2 as a novel host factor upregulated during Mycobacterium bovis infection.

      The study demonstrates that RBMX2 plays a role in:

      (1) Facilitating M. bovis adhesion, invasion, and survival in epithelial cells.

      (2) Disrupting tight junctions and promoting EMT.

      (3) Contributing to inflammatory responses and possibly predisposing infected tissue to lung cancer development.

      By using a combination of CRISPR-Cas9 library screening, multi-omics, coculture models, and bioinformatics, the authors establish a detailed mechanistic link between M. bovis infection and cancer-related EMT through the p65/MMP-9 signaling axis. Identification of RBMX2 as a bridge between TB infection and EMT is novel.

      Strengths:

      This topic and data are both novel and significant, expanding the understanding of transcriptomic diversity beyond RBM2 in M. bovis responsive functions.

      Weaknesses:

      (1) The abstract and introduction sometimes suggest RBMX2 has protective anti-TB functions, yet results show it facilitates pathogen adhesion and survival. The authors need to rephrase claims to avoid contradiction.

      (2) While p65/MMP-9 is convincingly implicated, the role of MAPK/p38 and JNK is less clearly resolved.

      (3) Metabolomics results are interesting but not integrated deeply into the main EMT narrative.

      (4) A key finding and starting point of this study is the upregulation of RBMX2 upon M. bovis infection. However, the authors have only assessed RBMX2 expression at the mRNA level following infection with M. bovis and BCG. To strengthen this conclusion, it is essential to validate RBMX2 expression at the protein level through techniques such as Western blotting or immunofluorescence. This would significantly enhance the credibility and impact of the study's foundational observation.

      (5) The manuscript would benefit from a more in-depth discussion of the relationship between tuberculosis (TB) and lung cancer. While the study provides experimental evidence suggesting a link via EMT induction, integrating current literature on the epidemiological and mechanistic connections between chronic TB infection and lung tumorigenesis would provide important context and reinforce the translational relevance of the findings.

    2. Author response:

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      This manuscript presents a compelling study identifying RBMX2 as a novel host factor upregulated during Mycobacterium bovis infection.

      The study demonstrates that RBMX2 plays a role in:

      (1) Facilitating M. bovis adhesion, invasion, and survival in epithelial cells.

      (2) Disrupting tight junctions and promoting EMT.

      (3) Contributing to inflammatory responses and possibly predisposing infected tissue to lung cancer development.

      By using a combination of CRISPR-Cas9 library screening, multi-omics, coculture models, and bioinformatics, the authors establish a detailed mechanistic link between M. bovis infection and cancer-related EMT through the p65/MMP-9 signaling axis. Identification of RBMX2 as a bridge between TB infection and EMT is novel.

      Strengths:

      This topic and data are both novel and significant, expanding the understanding of transcriptomic diversity beyond RBM2 in M. bovis responsive functions.

      Weaknesses:

      (1) The abstract and introduction sometimes suggest RBMX2 has protective anti-TB functions, yet results show it facilitates pathogen adhesion and survival. The authors need to rephrase claims to avoid contradiction.

      We sincerely appreciate the reviewer's valuable feedback regarding the need to clarify RBMX2's role throughout the manuscript. We have carefully revised the text to ensure consistent messaging about RBMX2's function in promoting M. bovis infection. Below we detail the specific modifications made:

      (1) Introduction Revisions:

      Changed "The objective of this study was to elucidate the correlation between host genes and the susceptibility of M.bovis infection" to "The objective of this study was to identify host factors that promote susceptibility to M.bovis infection"

      Revised "RBMX2 polyclonal and monoclonal cell lines exhibited favorable phenotypes" to "RBMX2 knockout cell lines showed reduced bacterial survival"

      Replaced "The immune regulatory mechanism of RBMX2" with "The role of RBMX2 in facilitating M.bovis immune evasion"

      (2) Results Revisions:

      Modified "RBMX2 fails to affect cell morphology and the ability to proliferate and promotes M.bovis infection" to "RBMX2 does not alter cell viability but significantly enhances M.bovis infection"

      Strengthened conclusion in Figure 4: "RBMX2 actively disrupts tight junctions to facilitate bacterial invasion"

      (3) Discussion Revisions:

      Revised screening description: "We screened host factors affecting M.bovis susceptibility and identified RBMX2 as a key promoter of infection"

      Strengthened concluding statement: "In summary, RBMX2 drives TB pathogenesis by compromising epithelial barriers and inducing EMT"

      These targeted revisions ensure that:

      All sections consistently present RBMX2 as promoting infection; the language aligns with our experimental finding; potential protective interpretations have been eliminated. We believe these modifications have successfully addressed the reviewer's concern while maintaining the manuscript's original structure and scientific content. We appreciate the opportunity to improve our manuscript and thank the reviewer for this constructive suggestion.

      (2) >While p65/MMP-9 is convincingly implicated, the role of MAPK/p38 and JNK is less clearly resolved.

      We sincerely appreciate the reviewer's insightful comment regarding the roles of MAPK/p38 and JNK in our study. Our experimental data clearly demonstrated that RBMX2 knockout significantly reduced phosphorylation levels of p65, p38, and JNK (Fig. 5A), indicating potential involvement of all three pathways in RBMX2-mediated regulation.

      Through systematic functional validation, we obtained several important findings:

      In pathway inhibition experiments, p65 activation (PMA treatment) showed the most dramatic effects on both tight junction disruption (ZO-1, OCLN reduction) and EMT marker regulation (E-cadherin downregulation, N-cadherin upregulation);

      p38 activation (ML141 treatment) exhibited moderate effects on these processes;

      JNK activation (Anisomycin treatment) displayed minimal impact.

      Most conclusively, siRNA-mediated silencing of p65 alone was sufficient to:

      Restore epithelial barrier function

      Reverse EMT marker expression

      Reduce bacterial adhesion and invasion

      These results establish a clear hierarchy in pathway importance: p65 serves as the primary mediator of RBMX2's effects, while p38 plays a secondary role and JNK appears non-essential under our experimental conditions. We have now clarified this relationship in the revised Discussion section to strengthen this conclusion.

      This refined understanding of pathway hierarchy provides important mechanistic insights while maintaining consistency with all our experimental data. We thank the reviewer for this valuable suggestion that helped improve our manuscript.

      (3) Metabolomics results are interesting but not integrated deeply into the main EMT narrative.

      Thank you for this constructive suggestion. In this article, we detected the metabolome of RBMX2 knockout and wild-type cells after Mycobacterium bovis infection, which mainly served as supporting evidence for our EMT model. However, we did not conduct an in-depth discussion of these findings. We have now added a detailed discussion of this section to further support our EMT model.

      ADD:Meanwhile, metabolic pathways enriched after RBMX2 deletion, such as nucleotide metabolism, nucleotide sugar synthesis, and pentose interconversion, primarily support cell proliferation and migration during EMT by providing energy precursors, regulating glycosylation modifications, and maintaining redox balance; cofactor synthesis and amino sugar metabolism participate in EMT regulation through influencing metabolic remodeling and extracellular matrix interactions; chemokine and cGMP-PKG signaling pathways may further mediate inflammatory responses and cytoskeletal rearrangements, collectively promoting the EMT process.

      (4) A key finding and starting point of this study is the upregulation of RBMX2 upon M. bovis infection. However, the authors have only assessed RBMX2 expression at the mRNA level following infection with M. bovis and BCG. To strengthen this conclusion, it is essential to validate RBMX2 expression at the protein level through techniques such as Western blotting or immunofluorescence. This would significantly enhance the credibility and impact of the study's foundational observation.

      Thank you for your comment. We have supplemented the experiments in this part and found that Mycobacterium bovis infection can significantly enhance the expression level of RBMX2 protein.

      (5) The manuscript would benefit from a more in-depth discussion of the relationship between tuberculosis (TB) and lung cancer. While the study provides experimental evidence suggesting a link via EMT induction, integrating current literature on the epidemiological and mechanistic connections between chronic TB infection and lung tumorigenesis would provide important context and reinforce the translational relevance of the findings.

      We sincerely appreciate the valuable comments from the reviewer. We fully agree with your suggestion to further explore the relationship between tuberculosis (TB) and lung cancer. In the revised manuscript, we will add a new paragraph in the Discussion section to systematically integrate the current literature on the epidemiological and mechanistic links between chronic tuberculosis infection and lung cancer development, including the potential bridging roles of chronic inflammation, tissue damage repair, immune microenvironment remodeling, and the epithelial-mesenchymal transition (EMT) pathway. This addition will help more comprehensively interpret the clinical implications of the observed EMT activation in the context of our study, thereby enhancing the biological plausibility and clinical translational value of our findings.

      ADD:There is growing epidemiological evidence suggesting that chronic TB infection represents a potential risk factor for the development of lung cancer. Studies have shown that individuals with a history of TB exhibit a significantly increased risk of lung cancer, particularly in areas of the lung with pre-existing fibrotic scars, indicating that chronic inflammation, tissue repair, and immune microenvironment remodeling may collectively contribute to malignant transformation 74. Moreover, EMT not only endows epithelial cells with mesenchymal features that enhance migratory and invasive capacity but is also associated with the acquisition of cancer stem cell-like properties and therapeutic resistance 75. Therefore, EMT may serve as a crucial molecular link connecting chronic TB infection with the malignant transformation of lung epithelial cells, warranting further investigation in the intersection of infection and tumorigenesis.

      Reviewer #2 (Public review):

      Summary:

      I am not familiar with cancer biology, so my review mainly focuses on the infection part of the manuscript. Wang et al identified an RNA-binding protein RBMX2 that links the Mycobacterium bovis infection to the epithelial-Mesenchymal transition and lung cancer progression. Upon mycobacterium infection, the expression of RBMX2 was moderately increased in multiple bovine and human cell lines, as well as bovine lung and liver tissues. Using global approaches, including RNA-seq and proteomics, the authors identified differential gene expression caused by the RBMX2 knockout during M. bovis infection. Knockout of RBMX2 led to significant upregulations of tight-junction related genes such as CLDN-5, OCLN, ZO-1, whereas M. bovis infection affects the integrity of epithelial cell tight junctions and inflammatory responses. This study establishes that RBMX2 is an important host factor that modulates the infection process of M. bovis.

      Strengths:

      (1) This study tested multiple types of bovine and human cells, including macrophages, epithelial cells, and clinical tissues at multiple timepoints, and firmly confirmed the induced expression of RBMX2 upon M. bovis infection.

      (2) The authors have generated the monoclonal RBMX2 knockout cell lines and comprehensively characterized the RBMX2-dependent gene expression changes using a combination of global omics approaches. The study has validated the impact of RBMX2 knockout on the tight-junction pathway and on the M. bovis infection, establishing RBMX2 as a crucial host factor.

      Weaknesses:

      (1) The RBMX2 was only moderately induced (less than 2-fold) upon M. bovis infection, arguing its contribution may be small. Its value as a therapeutic target is not justified. How RBMX2 was activated by M. bovis infection was unclear.

      Thank you for your valuable and constructive comments. In this study, we primarily utilized the CRISPR whole-genome screening approach to identify key factors involved in bovine tuberculosis infection. Through four rounds of screening using a whole-genome knockout cell line of bovine lung epithelial cells infected with Mycobacterium bovis, we identified RBMX2 as a critical factor.

      Although the transcriptional level change of RBMX2 was less than two-fold, following the suggestion of Reviewer 1, we examined its expression at the protein level, where the change was more pronounced, and we have added these results to the manuscript.

      Regarding the mechanism by which RBMX2 is activated upon M. bovis infection, we previously screened for interacting proteins using a Mycobacterium tuberculosis secreted and membrane protein library, but unfortunately, we did not identify any direct interacting proteins from M. tuberculosis (https://doi.org/10.1093/nar/gkx1173).

      (2) Although multiple time points have been included in the study, most analyses lack temporal resolution. It is difficult to appreciate the impact/consequence of M. bovis infection on the analyzed pathways and processes.

      We appreciate the valuable comments from the reviewers. Although our study included multiple time points post-infection, in our experimental design we focused on different biological processes and phenotypes at distinct time points:

      During the early phase (e.g., 2 hours post-infection), we focused on barrier phenotypes; during the intermediate phase (e.g., 24 hours post-infection), we concentrated more on pathway activation and EMT phenotypes;

      And during the later phase (e.g., 48–72 hours post-infection), we focused more on cell death phenotypes, which were validated in another FII article (https://doi.org/10.3389/fimmu.2024.1431207).

      We also examined the impact of varying infection durations on RBMX2 knockout EBL cellular lines via GO analysis. At 0 hpi, genes were primarily related to the pathways of cell junctions, extracellular regions, and cell junction organization. At 24 hpi, genes were mainly associated with pathways of the basement membrane, cell adhesion, integrin binding and cell migration By 48 hpi, genes were annotated into epithelial cell differentiation and were negatively regulated during epithelial cell proliferation. This indicated that RBMX2 can regulate cellular connectivity throughout the stages of M. bovis infection.

      For KEGG analysis, genes linked to the MAPK signaling pathway, chemical carcinogen-DNA adducts, and chemical carcinogen-receptor activation were observed at 0 hpi. At 24 hpi, significant enrichment was found in the ECM-receptor interaction, PI3K-Akt signaling pathway, and focal adhesion. Upon enrichment analysis at 48 hpi, significant enrichment was noted in the TGF-beta signaling pathway, transcriptional misregulation in cancer, microRNAs in cancer, small cell lung cancer, and p53 signaling pathway.

      Reviewer #3 (Public review):

      Summary:

      This study investigates the role of the host protein RBMX2 in regulating the response to Mycobacterium bovis infection and its connection to epithelial-mesenchymal transition (EMT), a key pathway in cancer progression. Using bovine and human cell models, the authors have wisely shown that RBMX2 expression is upregulated following M. bovis infection and promotes bacterial adhesion, invasion, and survival by disrupting epithelial tight junctions via the p65/MMP-9 signaling pathway. They also demonstrate that RBMX2 facilitates EMT and is overexpressed in human lung cancers, suggesting a potential link between chronic infection and tumor progression. The study highlights RBMX2 as a novel host factor that could serve as a therapeutic target for both TB pathogenesis and infection-related cancer risk.

      Strengths:

      The major strengths lie in its multi-omics integration (transcriptomics, proteomics, metabolomics) to map RBMX2's impact on host pathways, combined with rigorous functional assays (knockout/knockdown, adhesion/invasion, barrier tests) that establish causality through the p65/MMP-9 axis. Validation across bovine and human cell models and in clinical tissue samples enhances translational relevance. Finally, identifying RBMX2 as a novel regulator linking mycobacterial infection to EMT and cancer progression opens exciting therapeutic avenues.

      Weaknesses:

      Although it's a solid study, there are a few weaknesses noted below.

      (1) In the transcriptomics analysis, the authors performed (GO/KEGG) to explore biological functions. Did they perform the search locally or globally? If the search was performed with a global reference, then I would recommend doing a local search. That would give more relevant results. What is the logic behind highlighting some of the enriched pathways (in red), and how are they relevant to the current study?

      We appreciate the reviewer's thoughtful questions regarding our transcriptomic analysis. In this study, we employed a localized enrichment approach focusing specifically on gene expression profiles from our bovine lung epithelial cell system. This cell-type-specific analysis provides more biologically relevant results than global database searches alone.

      Regarding the highlighted pathways, these represent:

      (1) Temporally significant pathways showing strongest enrichment at each stage:

      • 0h: Cell junction organization (immediate barrier response)

      • 24h: ECM-receptor interaction (early EMT initiation)

      • 48h: TGF-β signaling (chronic remodeling)

      (2) Mechanistically linked to our core findings about RBMX2's role in:

      • Epithelial barrier disruption

      • Mesenchymal transition

      • Chronic infection outcomes

      We selected these particular pathways because they:

      (1) Showed the most statistically significant changes (FDR <0.001)

      (2) Formed a coherent biological narrative across infection stages

      (3) Were independently validated in our functional assays

      This targeted approach allows us to focus on the most infection-relevant pathways while maintaining statistical rigor.

      (2) While the authors show that RBMX2 expression correlates with EMT-related gene expression and barrier dysfunction, the evidence for direct association remains limited in this study. How does RBMX2 activate p65? Does it bind directly to p65 or modulate any upstream kinases? Could ChIP-seq or CLIP-seq provide further evidence for direct RNA or DNA targets of RBMX2 that drive EMT or NF-κB signaling?

      We sincerely appreciate the reviewer's in-depth questions regarding the mechanisms by which RBMX2 activates p65 and its association with EMT. Although the molecular mechanism remains to be fully elucidated, our study has provided experimental evidence supporting a direct regulatory relationship between RBMX2 and the p65 subunit of the NF-κB pathway. Specifically, we investigated whether the transcription factor p65 could directly bind to the promoter region of RBMX2 using CHIP experiments. The results demonstrated that the transcription factor p65 can physically bind to the RBMX2 region.

      Furthermore, dual-luciferase reporter assays were conducted, showing that p65 significantly enhances the transcriptional activity of the RBMX2 promoter, indicating a direct regulatory effect of RBMX2 on p65 expression.

      These findings support our hypothesis that RBMX2 activates the NF-κB signaling pathway through direct interaction with the p65 protein, thereby participating in the regulation of EMT progression and barrier function.

      In our subsequent work papers, we will also employ experiments such as CLIP to further investigate the specific mechanisms through which RBMX2 exerts its regulatory functions.

      (3) The manuscript suggests that RBMX2 enhances adhesion/invasion of several bacterial species (e.g., E. coli, Salmonella), not just M. bovis. This raises questions about the specificity of RBMX2's role in Mycobacterium-specific pathogenesis. Is RBMX2 a general epithelial barrier regulator or does it exhibit preferential effects in mycobacterial infection contexts? How does this generality affect its potential as a TB-specific therapeutic target?

      Thank you for your valuable comments. When we initially designed this experiment, we were interested in whether the RBMX2 knockout cell line could confer effective resistance not only against Mycobacterium bovis but also against Gram-negative and Gram-positive bacteria. Surprisingly, we indeed observed resistance to the invasion of these pathogens, albeit weaker compared to that against Mycobacterium bovis.

      Nevertheless, we believe these findings merit publication in eLife. Moreover, RBMX2 knockout does not affect the phenotype of epithelial barrier disruption under normal conditions; its significant regulatory effect on barrier function is only evident upon infection with Mycobacterium bovis.

      Importantly, during our genome-wide knockout library screening, RBMX2 was not identified in the screening models for Salmonella or Escherichia coli, but was consistently detected across multiple rounds of screening in the Mycobacterium bovis model.

      (4) The quality of the figures is very poor. High-resolution images should be provided.

      Thank you for your feedback; we provided higher-resolution images.

      (5) The methods are not very descriptive, particularly the omics section.

      Thank you for your comments; we have revised the description of the sequencing section.

      (6) The manuscript is too dense, with extensive multi-omics data (transcriptomics, proteomics, metabolomics) but relatively little mechanistic integration. The authors should have focused on the key mechanistic pathways in the figures. Improving the narratives in the Results and Discussion section could help readers follow the logic of the experimental design and conclusions.

      Thank you for your valuable comments. We have streamlined the figures and revised the description of the results section accordingly.

    3. Reviewer #3 (Public review):

      Summary:

      This study investigates the role of the host protein RBMX2 in regulating the response to Mycobacterium bovis infection and its connection to epithelial-mesenchymal transition (EMT), a key pathway in cancer progression. Using bovine and human cell models, the authors have wisely shown that RBMX2 expression is upregulated following M. bovis infection and promotes bacterial adhesion, invasion, and survival by disrupting epithelial tight junctions via the p65/MMP-9 signaling pathway. They also demonstrate that RBMX2 facilitates EMT and is overexpressed in human lung cancers, suggesting a potential link between chronic infection and tumor progression. The study highlights RBMX2 as a novel host factor that could serve as a therapeutic target for both TB pathogenesis and infection-related cancer risk.

      Strengths:

      The major strengths lie in its multi-omics integration (transcriptomics, proteomics, metabolomics) to map RBMX2's impact on host pathways, combined with rigorous functional assays (knockout/knockdown, adhesion/invasion, barrier tests) that establish causality through the p65/MMP-9 axis. Validation across bovine and human cell models and in clinical tissue samples enhances translational relevance. Finally, identifying RBMX2 as a novel regulator linking mycobacterial infection to EMT and cancer progression opens exciting therapeutic avenues.

      Weaknesses:

      Although it's a solid study, there are a few weaknesses noted below.

      (1) In the transcriptomics analysis, the authors performed (GO/KEGG) to explore biological functions. Did they perform the search locally or globally? If the search was performed with a global reference, then I would recommend doing a local search. That would give more relevant results. What is the logic behind highlighting some of the enriched pathways (in red), and how are they relevant to the current study?

      (2) While the authors show that RBMX2 expression correlates with EMT-related gene expression and barrier dysfunction, the evidence for direct association remains limited in this study. How does RBMX2 activate p65? Does it bind directly to p65 or modulate any upstream kinases? Could ChIP-seq or CLIP-seq provide further evidence for direct RNA or DNA targets of RBMX2 that drive EMT or NF-κB signaling?

      (3) The manuscript suggests that RBMX2 enhances adhesion/invasion of several bacterial species (e.g., E. coli, Salmonella), not just M. bovis. This raises questions about the specificity of RBMX2's role in Mycobacterium-specific pathogenesis. Is RBMX2 a general epithelial barrier regulator or does it exhibit preferential effects in mycobacterial infection contexts? How does this generality affect its potential as a TB-specific therapeutic target?

      (4) The quality of the figures is very poor. High-resolution images should be provided.

      (5) The methods are not very descriptive, particularly the omics section.

      (6) The manuscript is too dense, with extensive multi-omics data (transcriptomics, proteomics, metabolomics) but relatively little mechanistic integration. The authors should have focused on the key mechanistic pathways in the figures. Improving the narratives in the Results and Discussion section could help readers follow the logic of the experimental design and conclusions.

    1. Author response:

      Reviewer #1 (Public review):

      Summary:

      The authors use the theory of planned behavior to understand whether or not intentions to use sex as a biological variable (SABV), as well as attitude (value), subjective norm (social pressure), and behavioral control (ability to conduct behavior), across scientists at a pharmacological conference. They also used an intervention (workshop) to determine the value of this workshop in changing perceptions and misconceptions. Attempts to understand the knowledge gaps were made.

      Strengths:

      The use of SABV is limited in terms of researchers using sex in the analysis as a variable of interest in the models (and not a variable to control). To understand how we can improve on the number of researchers examining the data with sex in the analyses, it is vital we understand the pressure points that researchers consider in their work. The authors identify likely culprits in their analyses. The authors also test an intervention (workshop) to address the main bias or impediments for researchers' use of sex in their analyses.

      Weaknesses:

      There are a number of assumptions the authors make that could be revisited:

      (1) that all studies should contain across sex analyses or investigations. It is important to acknowledge that part of the impetus for SABV is to gain more scientific knowledge on females. This will require within sex analyses and dedicated research to uncover how unique characteristics for females can influence physiology and health outcomes. This will only be achieved with the use of female-only studies. The overemphasis on investigations of sex influences limits the work done for women's health, for example, as within-sex analyses are equally important.

      The Sex and Gender Equity in Research (SAGER) guidelines (1) provide guidance that “Where the subjects of research comprise organisms capable of differentiation by sex, the research should be designed and conducted in a way that can reveal sex-related differences in the results, even if these were not initially expected.”. This is a default position of inclusion where the sex can be determined and analysis assessing for sex related variability in response. This position underpins many of the funding bodies new policies on inclusion.

      However, we need to place this in the context of the driver of inclusion. The most common reason for including male and female samples is for those studies that are exploring the effect of a treatment and then the goal of inclusion is to assess the generalisability of the treatment effect (exploratory sex inclusion)(2). The second scenario is where sex is included because sex is one of the variables of interest and this situation will arise because there is a hypothesized sex difference of interest (confirmatory sex inclusion).

      We would argue that the SABV concept was introduced to address the systematic bias of only studying one sex when assessing treatment effect to improve the generalisability of the research. Therefore, it isn’t directly to gain more scientific knowledge on females. However, this strategy will highlight when the effect is very different between male and female subjects which will potentially generate sex specific hypotheses.

      Where research has a hypothesis that is specific to a sex (e.g. it is related to oestrogen levels) it would be appropriate to study only the sex of interest, in this case females. The recently published Sex Inclusive Research Framework gives some guidance here and allows an exemption for such a scenario classifying such proposals “Single sex study justified” (3).

      We plan to add an additional paragraph to the introduction to clarify the objectives behind inclusion and how this assists the research process.

      (2) It should be acknowledged that although the variability within each sex is not different on a number of characteristics (as indicated by meta-analyses in rats and mice), this was not done on all variables, and behavioral variables were not included. In addition, across-sex variability may very well be different, which, in turn, would result in statistical sex significance. In addition, on some measures, there are sex differences in variability, as human males have more variability in grey matter volume than females. PMID: 33044802.

      The manuscript was highlighting the common argument used to exclude the use of females, which is that females are inherently more variable as an absolute truth. We agree there might be situations, where the variance is higher in one sex or another depending on the biology. We will extend the discussion here to reflect this, and we will also link to the Sex Inclusive Research Framework (3) which highlights that in these situations researchers can utlise this argument provided it is supported with data for the biology of interest.

      (3) The authors need to acknowledge that it can be important that the sample size is increased when examining more than one sex. If the sample size is too low for biological research, it will not be possible to determine whether or not a difference exists. Using statistical modelling, researchers have found that depending on the effect size, the sample size does need to increase. It is important to bare this in mind as exploratory analyses with small sample size will be extremely limiting and may also discourage further study in this area (or indeed as seen the literature - an exploratory first study with the use of males and females with limited sample size, only to show there is no "significance" and to justify this as an reason to only use males for the further studies in the work.

      The reviewer raises a common problem: where researchers have frequently argued that if they find no sex differences in a pilot then they can proceed to study only one sex. The SAGER guidelines (1), and now funder guidelines (4, 5), challenge that position. Instead, the expectation is for inclusion as the default in all experiments (exploratory inclusion strategy) to allow generalisable results to be obtained. When the results are very different between the male and female samples, then this can be determined. This perspective shift (2) requires a change in mindset and understanding that the driver behind inclusion is of generalisability not exploration of sex differences. This will be added to the introduction as an additional paragraph exploring the drivers behind inclusion.

      We agree with the reviewer that if the researcher is interested in sex differences in an effect (confirmatory inclusion strategy, aka sex as a primary variable) then the N will need to be higher. However, in this situation, one, of course, must have male and female samples in the same experiment to allow the simultaneous exploration to assess the dependency on sex.

      Reviewer #2 (Public review):

      Summary:

      The investigators tested a workshop intervention to improve knowledge and decrease misconceptions about sex inclusive research. There were important findings that demonstrate the difficulty in changing opinions and knowledge about the importance of studying both males and females. While interventions can improve knowledge and decrease perceived barriers, the impact was small.

      Strengths:

      The investigators included control groups and replicated the study in a second population of scientists. The results appear to be well substantiated. These are valuable findings that have practical implications for fields where sex is included as a biological variable to improve rigor and reproducibility.

      Thank you for assessment and highlighting these strengths. We appreciate your recognition of the value and practical implications of this work.

      Weaknesses:

      I found the figures difficult to understand and would have appreciated more explanation of what is depicted, as well as greater space between the bars representing different categories.

      We plan to review the figures and figure legends to improve clarity of the data.

      Reviewer #3 (Public review):

      Summary:

      This manuscript aims to determine cultural biases and misconceptions in inclusive sex research and evaluate the efficacy of interventions to improve knowledge and shift perceptions to decrease perceived barriers for including both sexes in basic research.

      Overall, this study demonstrates that despite the intention to include both sexes and a general belief in the importance of doing so, relatively few people routinely include both sexes. Further, the perceptions of barriers to doing so are high, including misconceptions surrounding sample size, disaggregation, and variability of females. There was also a substantial number of individuals without the statistical knowledge to appropriately analyze data in studies inclusive of sex. Interventions increased knowledge and decreased perception of barriers. Strengths:

      (1) This manuscript provides evidence for the efficacy of interventions for changing attitudes and perceptions of research.

      (2) This manuscript also provides a training manual for expanding this intervention to broader groups of researchers.

      Thank you for highlighting these strengths. We appreciate your recognition that the intervention was effect in changing attitudes and perception. We deliberately chose to share the material to provide the resources to allow a wider engagement.

      Weaknesses:

      The major weakness here is that the post-workshop assessment is a single time point, soon after the intervention. As this paper shows, intention for these individuals is already high, so does decreasing perception of barriers and increasing knowledge change behavior, and increase the number of studies that include both sexes? Similarly, does the intervention start to shift cultural factors? Do these contribute to a change in behavior?

      Measuring change in behaviour following an intervention is challenging and hence we had implemented an intention score as a proxy for behaviour. We appreciate the benefit of a long-term analysis, but it was beyond the scope of this study and would need a larger dataset size to allow for attrition. We agree that the strategy implemented has weaknesses. We plan to extend the limitation section in the discussion to include these.

      References

      (1) Heidari S, Babor TF, De Castro P, Tort S, Curno M. Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use. Res Integr Peer Rev. 2016;1:2.

      (2) Karp NA. Navigating the paradigm shift of sex inclusive preclinical research and lessons learnt. Commun Biol. 2025;8(1):681.

      (3) Karp NA, Berdoy M, Gray K, Hunt L, Jennings M, Kerton A, et al. The Sex Inclusive Research Framework to address sex bias in preclinical research proposals. Nat Commun. 2025;16(1):3763.

      (4) MRC. Sex in experimental design - Guidance on new requirements https://www.ukri.org/councils/mrc/guidance-for-applicants/policies-and-guidance-for-researchers/sex-in-experimental-design/: UK Research and Innovation; 2022

      (5) Clayton JA, Collins FS. Policy: NIH to balance sex in cell and animal studies. Nature. 2014;509(7500):282-3.

    1. Author response:

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      In this interesting and original paper, the authors examine the effect that heat stress can have on the ability of bacterial cells to evade infection by lytic bacteriophages. Briefly, the authors show that heat stress increases the tolerance of Klebsiella pneumoniae to infection by the lytic phage Kp11. They also argue that this increased tolerance facilitates the evolution of genetically encoded resistance to the phage. In addition, they show that heat can reduce the efficacy of phage therapy. Moreover, they define a likely mechanistic reason for both tolerance and genetically encoded resistance. Both lead to a reorganization of the bacterial cell envelope, which reduces the likelihood that phage can successfully inject their DNA.

      Strengths:

      I found large parts of this paper well-written and clearly presented. I also found many of the experiments simple yet compelling. For example, the experiments described in Figure 3 clearly show that prior heat exposure can affect the efficacy of phage therapy. In addition, the experiments shown in Figures 4 and 6 clearly demonstrate the likely mechanistic cause of this effect. The conceptual Figure 7 is clear and illustrates the main ideas well. I think this paper would work even without its central claim, namely that tolerance facilitates the evolution of resistance. The reason is that the effect of environmental stressors on stress tolerance has to my knowledge so far only been shown for drug tolerance, not for tolerance to an antagonistic species.

      Weaknesses:

      I did not detect any weaknesses that would require a major reorganization of the paper, or that may require crucial new experiments. However, the paper needs some work in clarifying specific and central conclusions that the authors draw. More specifically, it needs to improve the connection between what is shown in some figures, how these figures are described in the caption, and how they are discussed in the main text. This is especially glaring with respect to the central claim of the paper from the title, namely that tolerance facilitates the evolution of resistance. I am sympathetic to that claim, especially because this has been shown elsewhere, not for phage resistance but for antibiotic resistance. However, in the description of the results, this is perhaps the weakest aspect of the paper, so I'm a bit mystified as to why the authors focus on this claim. As I mentioned above, the paper could stand on its own even without this claim.

      Thank you for your feedback. We understand your concern regarding the central claim that tolerance facilitates the evolution of resistance, while the paper can stand on its own without this claim, we think it provides an important layer to the interpretation of our findings. Considering your comments, we plan to revise the title and adjust to “Heat Stress Induces Phage Tolerance in Bacteria”.

      More specific examples where clarification is needed:

      (1) A key figure of the paper seems to be Figure 2D, yet it was one of the most confusing figures. This results from a mismatch between the accompanying text starting on line 92 and the figure itself. The first thing that the reader notices in the figure itself is the huge discrepancy between the number of viable colonies in the absence of phage infection at the two-hour time point. Yet this observation is not even mentioned in the main text. The exclusive focus of the main text seems to be on the right-hand side of the figure, labeled "+Phage". It is from this right-hand panel that the authors seem to conclude that heat stress facilitates the evolution of resistance. I find this confusing, because there is no difference between the heat-treated and non-treated cells in survivorship, and it is not clear from this data that survivorship is caused by resistance, not by tolerance/persistence. (The difference between tolerance and resistance has only been shown in the independent experiments of Figure 1B.)

      Thank you for your helpful comment. Figure 2d presents colony counts from a plating assay following the phage killing experiment in Figure 2c. Bacteria collected after 0 and 2 hours of phage exposure were plated on both phage-free (−phage) and phage-containing (+phage) plates. The “−phage” condition reflects total survivors, while the “+phage” condition indicates the resistant subset.

      As seen in Figure 2d (left part), heat-treated bacteria showed markedly higher survival on phage-free plates than untreated cells, which were largely eliminated by phage. However, resistant colony counts on phage-containing plates were similar between two groups (as shown in figure 2d right part), suggesting that heat stress increased survival but did not promote resistance.

      To clarify, we have revised the labels in Figure 2d as follows: “Total” will replace “-phage” to indicate the total survivors from the phage killing assay, and “Resisters” will replace “+phage” to indicate the resistant survivors, which are detected on phage-containing plates. This adjustment should eliminate any confusion and better reflect the experimental design.

      Figure 2F supports the resistance claim, but it is not one of the strongest experiments of the paper, because the author simply only used "turbidity" as an indicator of resistance. In addition, the authors performed the experiments described therein at small population sizes to avoid the presence of resistance mutations. But how do we know that the turbidity they describe does not result from persisters?

      I see three possibilities to address these issues. First, perhaps this is all a matter of explaining and motivating this particular experiment better. Second, the central claim of the paper may require additional experiments. For example, is it possible to block heat induced tolerance through specific mutations, and show that phage resistance does not evolve as rapidly if tolerance is blocked? A third possibility is to tone down the claim of the paper and make it about heat tolerance rather than the evolution of heat resistance.

      Thank you for your thoughtful comment. We appreciate the opportunity to clarify the interpretation of Figure 2f and the rationale behind the experimental design. We agree that turbidity alone cannot fully distinguish resistance from persistence. However, our earlier experiments (Figures 2d and 2e) demonstrated that heat-treated survivors remained largely susceptible to phage, indicating that heat stress does not directly induce resistance. This led us to hypothesize that heat enhances phage tolerance, which in turn increases the likelihood of resistance emergence during subsequent infection.

      To test this, we used a low initial bacterial population (~10³ CFU per well) to minimize the chance of pre-existing resistance. Bacteria were exposed to phages at MOIs of 1, 10, and 100 and incubated for 24 hours in 100 µL volumes. This setup ensured:

      (1) The low initial population minimizes the presence of pre-existing resistant mutants, ensuring that any phage-resistant bacteria observed arise during the infection process.

      (2) The high MOI (≥ 1) ensures that each bacterial cell has a high probability of infection by at least one phage.

      (3) The small volume (100 µL per well) maximizes the interaction between bacteria and phages, ensuring rapid infection of susceptible bacteria, which leads to clear wells. If resistant mutants arise, they will grow and cause turbidity.

      Thus, the turbidity observed in heat-treated samples reflects de novo emergence and outgrowth of resistant mutants from a tolerant population. This assay supports the idea that heat-induced tolerance increases the probability of resistance evolution, rather than directly causing resistance.

      We have revised the text to better explain this experimental logic and adjust the framing of our conclusions accordingly.

      A minor but general point here is that in Figure 2D and in other figures, the labels "-phage" and "+phage" do not facilitate understanding, because they suggest that cells in the "-phage" treatment have not been exposed to phage at all, but that is not the case. They have survived previous phage treatment and are then replated on media lacking phage.

      Thank you for your valuable comment. To clarify, we have revised the labels in Figure 2d as follows: “Total” will replace “-phage” to indicate the total survivors from the phage killing assay, and “Resisters” will replace “+phage” to indicate the resistant survivors, which are detected on phage-containing plates.

      (2) Another figure with a mismatch between text and visual materials is Figure 5, specifically Figures 5B-F. The figure is about two different mutants, and it is not even mentioned in the text how these mutants were identified, for example in different or the same replicate populations. What is more, the two mutants are not discussed at all in the main text. That is, the text, starting on line 221 discusses these experiments as if there was only one mutant. This is especially striking as the two mutants behave very differently, as, for example, in Figure 5C. Implicitly, the text talks about the mutant ending in "...C2", and not the one ending in "...C1". To add to the confusion, the text states that the (C2) mutant shows a change in the pspA gene, but in Figure 5f, it is the other (undiscussed) mutant that has a mutation in this gene. Only pspA is discussed further, so what about the other mutants? More generally, it is hard to believe that these were the only mutants that occurred in the genome during experimental evolution. It would be useful to give the reader a 2-3 sentence summary of the genetic diversity that experimental evolution generated.

      Thank you for your thoughtful comment. In our heat treatment evolutionary experiment, we isolated six distinct bacterial clones, of which two are highlighted in the manuscript as representative examples. One clone, BC2G11C1, acquired both heat tolerance and phage resistance, while another clone, BC3G11C2, became heat-tolerant but did not develop resistance to phage infection. This variation highlights the inherent diversity in evolutionary responses when exposed to selective pressures. It demonstrates that not all evolutionary pathways lead to the same outcome, even under similar stress conditions. This variability is a key observation in our study, illustrating that different genetic adaptations may arise depending on the specific mutations or genetic context, and not every strain will evolve phage resistance in parallel with heat tolerance. We have updated the manuscript to better reflect this diversity in the evolutionary trajectories observed.

      Reviewer #2 (Public review):

      Summary:

      An initial screening of pretreatment with different stress treatments of K. pneumoniae allowed the identification of heat stress as a protection factor against the infection of the lytic phage Kp11. Then experiments prove that this is mediated not by an increase of phage-resistant bacteria but due to an increase in phage transient tolerant population, which the authors identified as bacteriophage persistence in analogy to antibiotic persistence. Then they proved that phage persistence mediated by heat shock enhanced the evolution of bacterial resistance against the phage. The same trait was observed using other lytic phages, their combinations, and two clinical strains, as well as E. coli and two T phages, hence the phenomenon may be widespread in enterobacteria.

      Next, the elucidation of heat-induced phage persistence was done, determining that phage adsorption was not affected but phage DNA internalization was impaired by the heat pretreatment, likely due to alterations in the bacterial envelope, including the downregulation of envelope proteins and of LPS; furthermore, heat treated bacteria were less sensitive to polymyxins due to the decrease in LPS.

      Finally, cyclic exposure to heat stress allowed the isolation of a mutant that was both resistant to heat treatment, polymyxins, and lytic phage, that mutant had alterations in PspA protein that allowed a gain of function and that promoted the reduction of capsule production and loss of its structure; nevertheless this mutant was severely impaired in immune evasion as it was easily cleared from mice blood, evidencing the tradeoffs between phage/heat and antibiotic resistance and the ability to counteract the immune response.

      Strengths:

      The experimental design and the sequence in which they are presented are ideal for the understanding of their study and the conclusions are supported by the findings, also the discussion points out the relevance of their work particularly in the effectiveness of phage therapy and allows the design of strategies to improve their effectiveness.

      Weaknesses:

      In its present form, it lacks the incorporation of some relevant previous work that explored the role of heat stress in phage susceptibility, antibiotic susceptibility, tradeoffs between phage resistance and resistance against other kinds of stress, virulence, etc., and the fact that exposure to lytic phages induces antibiotic persistence.

      Thank you for your insightful comments. I appreciate your suggestion regarding the inclusion of relevant previous works. I have now incorporated additional citations to discuss these points, including studies on the relationship between heat stress and antibiotic resistance, as well as the tradeoffs between phage resistance and other stress factors.

      Reviewer #3 (Public review):

      PspA, a key regulator in the phage shock protein system, functions as part of the envelope stress response system in bacteria, preventing membrane depolarization and ensuring the envelope stability. This protein has been associated in the Quorum Sensing network and biofilm formation. (Moscoso M., Garcia E., Lopez R. 2006. Biofilm formation by Streptococcus pneumoniae: role of choline, extracellular DNA, and capsular polysaccharide in microbial accretion. J. Bacteriol. 188:7785-7795; Vidal JE, Ludewick HP, Kunkel RM, Zähner D, Klugman KP. The LuxS-dependent quorum-sensing system regulates early biofilm formation by Streptococcus pneumoniae strain D39. Infect Immun. 2011 Oct;79(10):4050-60.)

      It is interesting and very well-developed.

      (1) Could the authors develop experiments about the relationship between Quorum Sensing and this protein?

      (2) It would be interesting to analyze the link to phage infection and heat stress in relation to Quorum. The authors could study QS regulators or AI2 molecules.

      Thank you for your insightful comments and for bringing up the role of PspA in quorum sensing and biofilm formation. However, we would like to clarify a potential misunderstanding: the PspA discussed in our manuscript refers to phage-shock protein A, a key regulator in the bacterial envelope stress response system. This is distinct from the pneumococcal surface protein A, which has been associated with quorum sensing and biofilm formation in Streptococcus pneumoniae (as referenced in your comment).

      To avoid any confusion for readers, we will ensure that our manuscript explicitly states “phage-shock protein A (PspA)” at its first mention. We appreciate your feedback and hope this clarification addresses your concern.

      (3) Include the proteins or genes in a table or figure from lytic phage Kp11 (GenBank: ON148528.1).

      Thank you for your helpful suggestion. We have now included a figure, as appropriate summarizing the proteins of the lytic phage Kp11 (GenBank: ON148528.1) in supplementary Figure S1.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      Issues unrelated to those discussed in the public review

      (1) Figure 4a and its caption describe an evolution experiment, but they do not mention how many cycles of high-temperature treatment and growth this experiment lasted. I assume it lasted for more than one cycle, because the methods section mentions "cycles", but the number is not provided.

      Thank you for pointing this out. The evolutionary experiment shown in Figure 5a involved 11 cycles of high-temperature treatment and growth. We have now explicitly stated this in the figure legend to ensure clarity: BC: Batch culture, G: Evolution cycle number, C: Colony. BC2G11C1 refers to the first colony from batvh culture 2 after 11 rounds of heat treatment.

      (2) It is not clear what Figure 5F is supposed to show. What are the gray boxes? The caption claims that the figure shows non-synonymous mutations, but the only information it contains is about genes that seem to be affected by mutation. Judging from the mismatch between the main text and the figure, the mutants with these mutations may actually be mislabeled.

      Thank you for your careful review. Figure 5f highlights the non-synonymous mutations identified in the evolved strains. The gray boxes represent the ancestral strain’s whole genome without mutations, serving as a control. The corresponding labels indicate the specific mutations found in each evolved strain. We have clarified this in the figure caption to improve clarity. Additionally, we have carefully reviewed the labeling to ensure accuracy and consistency between the figure, main text, and sequencing data.

      (3) I think that the acronym NC, which is used in just about every figure, is explained nowhere in the paper. Spell out all acronyms at first use.

      Thank you for pointing this out. We have rivewed ensure that NC is clearly defined at its first mention in the text and figure legends to improve clarity. Additionally, we have reviewed the manuscript to ensure that all acronyms are properly introduced when first used.

      (4) The same holds for the acronym N.D. This is an especially important oversight because N.D. could mean "not determined" or "not detectable", which would lead to very different interpretations of the same figure.

      Thank you for your careful review. We have clarified the meaning of N.D., which stands for non-detectable, at its first use to avoid ambiguity and ensure accurate interpretation in the figure legend. Additionally, we have reviewed the manuscript to ensure that all acronyms are clearly defined.

      (5) The panel labels (a,b, etc.) in all figure captions are very difficult to distinguish from the rest of the text, and should be better highlighted, for example by using a bold font. However, this is a matter of journal style and will probably be fixed during typesetting.

      Thank you for your suggestion. We have adjusted the figure captions to better distinguish panel labels, such as using bold font, to improve readability and final formatting will follow the journal’s style during typesetting.

      (6) Line 224: enhanced insusceptibility -> reduced susceptibility.

      Thank you for your suggestion. We have revised “enhanced insusceptibility” to “reduced susceptibility” for clarity and precision.

      (7) Line 259: mice -> mouse.

      Thank you for catching this. We have corrected “mice” to “mouse”.

      Reviewer #2 (Recommendations for the authors):

      I have no concerns about the experimental design and conclusions of your work; however, I strongly recommend incorporating several relevant pieces of the literature related to your work, in the discussion of your manuscript, specifically:

      (1) Previous studies about the role of heat stress in phage infections, see:

      Greenrod STE, Cazares D, Johnson S, Hector TE, Stevens EJ, MacLean RC, King KC. Warming alters life-history traits and competition in a phage community. Appl Environ Microbiol. 2024 May 21;90(5):e0028624. doi: 10.1128/aem.00286-24. Epub 2024 Apr 16. PMID: 38624196; PMCID: PMC11107170.

      Thank you for your thoughtful comment. We have ensured to incorporate the study by Greenrod et al. (2024) into the discussion to enrich the context of our findings. As this article pointed out, a temperature of 42°C can indeed limit phage infection in bacteria, acting as a barrier from the phage’s perspective. Our study builds on this by demonstrating that bacteria pre-treated with high temperatures exhibit tolerance to phage infection. These findings, together with the work you referenced, underscore the importance of heat stress or elevated temperature in host-phage interactions, with 42°C being particularly relevant in the context of fever. We will make sure to clarify this connection in our revised manuscript.

      (2) The effect of heat stress and the tolerance/resistance against other antibiotics besides polymyxins, see:

      Lv B, Huang X, Lijia C, Ma Y, Bian M, Li Z, Duan J, Zhou F, Yang B, Qie X, Song Y, Wood TK, Fu X. Heat shock potentiates aminoglycosides against gram-negative bacteria by enhancing antibiotic uptake, protein aggregation, and ROS. Proc Natl Acad Sci U S A. 2023 Mar 21;120(12):e2217254120. doi: 10.1073/pnas.2217254120. Epub 2023 Mar 14. PMID: 36917671; PMCID: PMC10041086.

      Thank you for bringing this study to our attention. We have incorporated the findings from Lv et al. (2023) into the discussion of our manuscript, highlighting how sublethal temperatures may facilitate the killing of bacteria by antibiotics like kanamycin. This is consistent with our data showing enhanced susceptibility of heat-shocked bacteria to kanamycin. The study also provides insights into the potential role of PMF, which is relevant to our work on PspA, and strengthens the broader context of heat stress influencing both antibiotic resistance and tolerance.

      (3) Perhaps the most relevant overlooked fact was that recently it was demonstrated for E. coli, Klebsiella and Pseudomonas that pretreatment with lytic phages induced antibiotic persistence! Please discuss this finding and its implications for your work, see:

      Fernández-García L, Kirigo J, Huelgas-Méndez D, Benedik MJ, Tomás M, García-Contreras R, Wood TK. Phages produce persisters. Microb Biotechnol. 2024 Aug;17(8):e14543. doi: 10.1111/1751-7915.14543. PMID: 39096350; PMCID: PMC11297538.

      Sanchez-Torres V, Kirigo J, Wood TK. Implications of lytic phage infections inducing persistence. Curr Opin Microbiol. 2024 Jun;79:102482. doi: 10.1016/j.mib.2024.102482. Epub 2024 May 6. PMID: 38714140.

      Thank you for suggesting this important reference. We agree that the phenomenon of phage-induced bacterial persistence is highly relevant to our study. While our manuscript focuses on the role of heat stress in bacterial tolerance and resistance, we acknowledge that bacterial persistence against phages is an established concept. We have incorporated this finding into our discussion, emphasizing how persistence and tolerance can overlap in their effects on bacterial survival, especially under stress conditions like heat treatment. This will provide a more comprehensive understanding of how phage interactions with bacteria can lead to both persistence and resistance.

      (4) Finally, you observed a tradeoff pf the pspA* mutant increased phage/heat/polymyxin resistance and decreased immune evasion (perhaps by being unable to counteract phagocytosis), those tradeoffs between gaining phage resistance but losing resistance to the immune system, virulence impairment and resistance against some antibiotics had been extensively documented, see:

      Majkowska-Skrobek G, Markwitz P, Sosnowska E, Lood C, Lavigne R, Drulis-Kawa Z. The evolutionary trade-offs in phage-resistant Klebsiella pneumoniae entail cross-phage sensitization and loss of multidrug resistance. Environ Microbiol. 2021 Dec;23(12):7723-7740. doi: 10.1111/1462-2920.15476. Epub 2021 Mar 27. PMID: 33754440.

      Gordillo Altamirano F, Forsyth JH, Patwa R, Kostoulias X, Trim M, Subedi D, Archer SK, Morris FC, Oliveira C, Kielty L, Korneev D, O'Bryan MK, Lithgow TJ, Peleg AY, Barr JJ. Bacteriophage-resistant Acinetobacter baumannii are resensitized to antimicrobials. Nat Microbiol. 2021 Feb;6(2):157-161. doi: 10.1038/s41564-020-00830-7. Epub 2021 Jan 11. PMID: 33432151.

      García-Cruz JC, Rebollar-Juarez X, Limones-Martinez A, Santos-Lopez CS, Toya S, Maeda T, Ceapă CD, Blasco L, Tomás M, Díaz-Velásquez CE, Vaca-Paniagua F, Díaz-Guerrero M, Cazares D, Cazares A, Hernández-Durán M, López-Jácome LE, Franco-Cendejas R, Husain FM, Khan A, Arshad M, Morales-Espinosa R, Fernández-Presas AM, Cadet F, Wood TK, García-Contreras R. Resistance against two lytic phage variants attenuates virulence and antibiotic resistance in Pseudomonas aeruginosa. Front Cell Infect Microbiol. 2024 Jan 17;13:1280265. doi: 10.3389/fcimb.2023.1280265. Erratum in: Front Cell Infect Microbiol. 2024 Mar 06;14:1391783. doi: 10.3389/fcimb.2024.1391783. PMID: 38298921; PMCID: PMC10828002.

      Thank you for highlighting these important studies. We have incorporated the work by Majkowska-Skrobek et al. (2021), Gordillo Altamirano et al. (2021), and García-Cruz et al. (2024) into the discussion to provide further context to the evolutionary trade-offs observed in our study. The findings in these studies, which describe the cross-sensitization to antimicrobials and the loss of multidrug resistance in phage-resistant bacteria, align with our observations of trade-offs in the pspA mutant. Specifically, our results show that while the pspA mutant exhibits increased resistance to phage, heat, and polymyxins, it also experiences a decrease in immune evasion and potential virulence. These trade-offs are significant in understanding the broader consequences of developing resistance to phages and other stressors.

    1. Note de synthèse : L'emprise psychotique et la Folie à Deux

      Ce document explore la notion d'emprise psychotique, en se basant sur la « Folie à Deux » comme modèle principal, et la distingue de l'emprise perverse classique.

      La présentation met en lumière les mécanismes, les typologies, les implications médico-légales et les dynamiques relationnelles sous-jacentes à ce phénomène complexe.

      1. Introduction à la Folie à Deux (Folie A2) et son lien avec l'emprise

      La Folie à Deux est une entité clinique décrite initialement par Lasègue et Falret en 1877.

      Elle se caractérise par le développement d'idées délirantes chez un « patient secondaire » sous l'influence d'un « patient primaire » déjà délirant. Les conditions nécessaires incluent une relation étroite et isolée des influences extérieures.

      • Exemple clinique : L'histoire de Sarah et Chloé L'exemple introductif illustre la dynamique de la Folie à Deux : Sarah, une mère anxieuse et contrôlante, et sa fille Chloé, souffrant de pathologies qui renforcent les défenses obsessionnelles de la mère.

      Leur relation fusionnelle et isolée conduit au développement d'un délire de persécution et de spoliation centré sur une tante.

      Initialement, la mère tente de raisonner sa fille, mais face à la violence de Chloé et à leur isolement, elle finit par céder et adhérer aux idées délirantes de sa fille. Cette adhésion conduit à un passage à l'acte violent envers la tante, entraînant leur hospitalisation.

      À la séparation, la mère se restaure rapidement, devenant critique des événements, tandis que la fille met plus de temps à se rétablir.

      Ce cas met en évidence l'influence du patient primaire (la fille) sur le patient secondaire (la mère) dans un contexte d'isolement et de pression.

      2. Typologies de la Folie à Deux L'analyse proposée distingue deux types principaux de Folie à Deux :

      • Folie à Deux Imposée (de Lasègue et Falret) :
      • Le patient primaire est actif dans le délire, et le patient secondaire est plus passif, délirant "par reflet" ou "sous la pression".
      • À la séparation, le patient secondaire retrouve rapidement son état antérieur et sa capacité critique.

      • Ceci est considéré comme une emprise psychotique incomplète, car les effets de la pathologie ne sont pas durables chez le sujet secondaire une fois la relation rompue.

      Folie à Deux Communiquée (de Marandon de Montyel) :

      • Le patient secondaire est un sujet prédisposé qui développe une maladie psychiatrique au contact du sujet délirant.
      • Les troubles persistent même après la séparation.
      • Ceci est considéré comme une emprise psychotique complète, car elle aboutit à un second sujet primaire capable de "contaminer" d'autres individus.

      3. Mécanismes psychopathologiques de la Folie à Deux Deux mécanismes principaux expliquent la dynamique et le maintien de la relation dans la Folie à Deux :

      • Projection de l'hostilité :
      • Dans l'exemple de Sarah et Chloé, l'hostilité de Chloé envers sa mère (due à l'incapacité de s'émanciper) ne peut s'exprimer directement.

      Elle est alors projetée sur un objet externe à la relation (la tante), ce qui permet de maintenir la dyade mère-fille et d'apaiser les tensions internes.

      • L'acceptation du mécanisme projectif par le patient secondaire est cruciale ; toute résistance entraîne une augmentation de l'agressivité et de la violence.

      • "L'acceptation du délire apaise en fait a permis qu'il y ait au final plus de plus d'épisodes de violence dans la relation puisque toute la violence était redirigée à l'extérieur."

      • Identification à l'ennemi (ou à l'agresseur) :

      • Inspiré des travaux de Freud et Ferenczi sur l'identification à l'agresseur (notamment chez les enfants victimes d'abus).

      • Il s'agit d'adopter le point de vue de l'agresseur, d'introjecter sa culpabilité ou d'anticiper ses besoins, dans le but d'apaiser l'agresseur et de se sauvegarder physiquement et psychiquement.

      • Dans la Folie à Deux, l'acceptation du délire par le patient secondaire apaise les violences (physiques) dans la relation, la violence étant redirigée vers l'extérieur du couple.

      4. L'emprise psychotique en miroir avec l'emprise classique (perverse)

      L'emprise psychotique est conceptualisée comme une forme spécifique d'emprise, distincte mais comparable à l'emprise perverse classique.

      Points communs de l'emprise (générique) :

      • Relation asymétrique : Un sujet réduit au statut d'objet, dont l'espace psychique est occupé par l'autre.

      • Déni d'altérité et de critique : L'accès à la critique est impossible ; l'objectif est une fusion totale et l'adhésion aux idées de l'autre.

      • Phases de captation et de domination : L'appropriation de l'autre se fait par séduction/fascination, suivie d'une phase de conditionnement par manipulation (verbale, physique), l'alternance séduction-agression étant au cœur de ce processus.

      • Séquelles durables : La victime peut avoir des difficultés à s'extraire de la dynamique et des séquelles à long terme dans ses interactions futures.

      • Distinction entre Emprise Perverse (Dracula) et Emprise Psychotique (Don Quichotte) :

      • CaractéristiqueEmprise Perverse (Dracula)Emprise Psychotique (Don Quichotte)Objectif /

      MotivationSiphonnement du narcissisme du partenaire ("se nourrit du sang de ses victimes"), jouissance perverse.Décollage de la réalité, sortie de la réalité.

      Le sujet n'est pas motivé par la jouissance de l'autre mais par la maladie elle-même qui guide le voyage pathologique et les interactions.

      Mécanisme sous-jacentMet en place des mécanismes proactifs pour produire ses effets, vise à combler des angoisses narcissiques.

      La maladie guide le "voyage pathologique" et les interactions. Les angoisses sont plus archaïques, des angoisses de "néantisation" très précoces dans le développement psychique.

      Nature de la contrainteLe sujet "pervers" met volontairement l'autre sous emprise pour se nourrir narcissiquement.

      Le patient primaire psychotique met l'autre sous emprise "sous l'effet de la maladie", enfermé dans une bulle délirante.DynamiqueAlternance séduction-agression volontaire pour le conditionnement.

      "L'exposition des mécanismes" (en thérapie) peut aider à s'en prémunir.Alternance fusion (adhésion du secondaire au délire) et agression (résistance du secondaire) ; vise une fusion complète. Mécanisme de projection d'hostilité.

      L'enjeu pour la victime est la menace de basculer complètement dans la folie du primaire.Implications médico-légalesLa victime est sous contrainte morale mais n'est pas "délirante" elle-même.

      Peut être irresponsable pénalement selon la "contrainte irrésistible" (article 122 du code pénal).

      Si passage à l'acte, l'acte peut être imputé au délire si les deux sujets agissent dans ce cadre.

      Le discernement peut être aboli (article 121 du code pénal), ce qui peut mener à une irresponsabilité pénale des deux sujets.Définition de l'emprise psychotique :

      C'est "une relation asymétrique où le sujet primaire psychotique met sous emprise un sujet secondaire dans des conditions d'isolement prolongé avec un déni d'altérité (comme dans l'emprise perverse) mais un déni plus global de réalité qui va se mettre en place, une volonté de fusion et d'adhésion au délire du partenaire dirigé par la maladie, une montée de l'agressivité dans les résistances abaissée par les mécanismes projectifs et une angoisse plus archaïque de néantisation chez les sujets."

      5. Implications Médico-Légales

      • Folie à Deux Imposée (emprise psychotique incomplète) : Le patient secondaire n'est pas malade au sens psychiatrique mais agit sous une contrainte morale irrésistible.

      L'article 122 du code pénal sur l'absence de responsabilité en cas de contrainte peut s'appliquer.

      Un arrêt de la Cour d'appel de Rennes (2017) concernant la compagne d'un gourou sectaire illustre cette situation : la séparation a suffi à mettre fin au délire de la partenaire, qui a été déclarée pénalement irresponsable sous le motif de la contrainte.

      • Folie à Deux Communiquée (emprise psychotique complète) : Si un passage à l'acte violent se produit dans le cadre du délire, l'acte peut être imputé au délire.

      L'expert psychiatre peut conclure à une abolition du discernement sur le modèle de l'article 121 du code pénal, menant potentiellement à l'irresponsabilité pénale des deux sujets.

      6. Réflexion élargie sur l'emprise

      L'emprise n'est pas spécifique à la perversion ou à la Folie à Deux ; elle peut se manifester sous diverses formes (paranoïaque, obsessionnelle, perverse) et est souvent liée à des difficultés développementales précoces et des attachements insécures.

      Plus les difficultés sont précoces et sévères (ex: dans l'environnement parental), plus le risque de développer une maladie psychiatrique (comme la schizophrénie) et de recourir à une modalité relationnelle d'emprise est élevé.

      Cependant, il est important de distinguer une modalité durable et problématique d'interaction d'un recours ponctuel et occasionnel à un type d'emprise (ex: en période de stress aigu), qui ne caractérise pas un fonctionnement pathologique durable.

    1. According to the CDC, 31% ofchildren with disabilities ages 4 to 11 reportedbeing sad, unhappy or depressed, while 28%of adults with disabilities reported feelings ofsadness, unhappiness and depression prevent-ing them from being active

      findings related to moods/depression from cdc people with disabilities. The results of this is surprising. I would not expect the children's percentage to be higher.

    1. Briefly, XML and the format demonstrated by Lee et al. (ref) tend to perform well, while JSON performed worse for this task.

      提到的 format demonstrated by Lee 的 prompt 格式是这样的,从上到下:

      1. Instruction,例如:

      You will be given a list of documents. You need to read carefully and understand all of them. Then you will be given a query that may require you to use 1 or more documents to find the answer. Your goal is to find all documents from the list that can help answer the query.

      1. Corpus Formatting:例如:

      ID: 0 | TITLE: Shinji Okazaki | CONTENT: Shinji Okazaki is a Japanese … | END ID: 0 … ID: 53 | TITLE: Ain't Thinkin' 'Bout You | CONTENT: "Ain't Thinkin' 'Bout You" is a song … | END ID: 53 ID: 54 | TITLE: Best Footballer in Asia 2016 | CONTENT: … was awarded to Shinji Okazaki … | END ID: 54

      1. Few-shot Exemples,例如:

      ====== Example 1 ====== Which documents are needed to answer the query? Print out the TITLE and ID of each document. Then format the IDs into a list. query: What year was the recipient of the 2016 Best Footballer in Asia born? The following documents are needed to answer the query: TITLE: Best Footballer in Asia 2016 | ID: 54 TITLE: Shinji Okazaki | ID: 0 Final Answer: [54, 0]

      1. Query Formatting,例如:

      ====== Now let's start! ====== Which documents are needed to answer the query? Print out the TITLE and ID of each document. Then format the IDs into a list. query: How many records had the team sold before performing "aint thinkin bout you"? The following documents are needed to answer the query:

    1. Compte-rendu de la Conférence "Emprise"

      Ce document synthétise les points clés de la conférence sur l'emprise, en distinguant ce qu'elle n'est pas, ce qu'elle est, comment elle opère, qui l'exerce, et qui en est la proie.

      1. Ce que l'emprise n'est pas

      L'oratrice commence par définir l'emprise par la négation, afin de la distinguer de concepts proches mais différents :

      • L'Influence : Selon l'école de Palo Alto, "on ne peut pas ne pas communiquer", et "communiquer c'est influencer". L'influence est une caractéristique normale de la communication (ex: influenceurs, publicitaires). L'emprise débute lorsque l'influence "s'accompagne de coercition d'obligation".
      • La Stratégie : La stratégie, même si elle implique des "manœuvres", a des "buts éthiquement recevables" et la personne ciblée "a donné son accord". Contrairement à la manipulation, il est possible de "soulever le capot du moteur et dire ce que je suis en train de faire".

      2. Définition de l'Emprise

      Le terme "emprise" a des origines diverses, toutes liées à l'idée de "prendre" ou de "dominer" :

      • Étymologie : En chevalerie, c'était le contrat unissant un chevalier à son suzerain (relation de pouvoir). En administration, c'est la prise de terrain par expropriation ou occupation. En architecture, c'est la projection d'une construction sur une surface.
      • En psychologie : L'emprise est un "envahissement", une "main mise". Elle est définie comme "une relation de pouvoir et de domination qui est fondé sur la fascination et sur la peur".
      • Conséquences sur la proie : L'emprise "exproprie [...] la proie de sa subjectivité propre", c'est-à-dire sa façon de voir le monde, et de son "agentivité", sa capacité d'agir. En somme, elle exproprie la personne "de soi-même".

      3. Comment l'Emprise Opère

      L'emprise utilise diverses tactiques pour fragiliser et contrôler la victime (appelée "la proie" par l'oratrice, l'auteur étant "le prédateur") :

      Mise sous stress constant : * Renforcement intermittent : Inspiré par la cage de Skinner, le prédateur alterne récompenses et punitions de manière imprévisible ("un coup tu l'as un coup tu l'as pas"). Cela génère un "stress constant" et une "addiction", car la victime est constamment en attente. Ce stress érode le corps et l'esprit. * Mise en confusion cognitive : La victime ne "sait plus quel bout va devant". Cela se fait par la manipulation mentale : * Culpabilisation : Le prédateur rend la victime responsable de ses propres émotions ou situations, souvent en se positionnant en victime ("j'ai voyagé très très longtemps pour venir jusqu'ici... j'espère que vous allez m'écouter"). * Retournement : L'art de faire croire à la proie que "ce n'est pas le prédateur qui a fait une bêtise ou qui a généré une difficulté, c'est la proie". * Décontextualisation-Retournement-Essentialisation : Le prédateur oublie le contexte qu'il a créé, isole la réaction de la proie, et l'essentialise en un trait de caractère permanent et pathologique. L'exemple donné est celui de Monsieur Dupont qui, après avoir agressé Madame Dupont, la décontextualise en alcoolique parce qu'elle boit un whisky pour se calmer. * Gaslighting : "L'art de faire que l'autre doute de sa santé mentale." Cette manipulation est "extrêmement répandue" et vise à faire croire à la victime qu'elle est folle ou dérangée ("ce n'est pas moi qui dis n'importe quoi, c'est toi qui es folle"). * Mise en confusion émotionnelle : Notamment par l'alternance des "chauds et des froids", renvoyant au mécanisme du renforcement intermittent. Le prédateur ne répond pas de la même manière à la même situation, perturbant émotionnellement la proie.

      4. Qui met sous Emprise

      • Trois types de personnalités peuvent exercer une emprise :
      • Personnalités très obsessionnelles : Leur besoin de gérer une forte angoisse par des rituels intangibles et immuables peut amener leur entourage à "se plier à ces rituels" pour éviter des crises. Cette adaptation forcée conduit la victime à "s'exproprier de soi-même".
      • Personnalités paranoïques : Caractérisées par la méfiance, l'orgueil, la psychorigidité et la fausseté du jugement. Pour le paranoïaque, "qui n'est pas avec lui est contre lui" et doit être attaqué. L'entourage finit par adapter son comportement pour "ne pas pouvoir se faire attaquer par le paranoïaque", perdant ainsi sa spontanéité et son identité propre.
      • Pervers narcissiques (PN) : C'est le type le plus approfondi, car ils exercent l'emprise "pour mettre sous emprise, parce que ça le fait jouir".
      • Buts du PN : Il cherche à "asservir l'autre au sens le plus fort du terme", à "le déshumaniser", lui enlever sa subjectivité et son désir. Il cherche à posséder sa proie "comme un objet" pour :
      • Passer à l'acte son "envie hostile" (jalousie), détruisant l'autre.
      • Utiliser la proie comme "un élément de prestige" (ex: partenaire ou collaborateur prestigieux).
      • Flatter son "narcissisme malade", car il "confond son pouvoir avec son pouvoir de destruction". Sa force est mesurée à sa capacité à détruire l'autre.
      • Fonction de "poubelle psychique" : Le PN, derrière un masque de perversité, est d'une "extrême fragilité". Incapable de supporter d'être mauvais ou d'avoir failli, il projette tout ce qui est négatif sur la proie : "tout ce qui est bien c'est moi, tout ce qui est mal c'est toi". Il est en fait "plus dépendant de sa proie que sa proie de lui".
      • Partage de la folie : Citant Harold Searles, l'oratrice explique que le PN, en tant que psychotique ou pré-psychotique, cherche à "faire partager sa folie à l'autre", à "donner sa folie à l'autre par identification projective pour se sentir moins dingue". Le gaslighting, en particulier, sert à cela.

      5. Les Étapes de la Relation d'Emprise (Vue de la Proie)

      La relation d'emprise se déroule en plusieurs phases, souvent difficiles à discerner pour la proie et le monde extérieur :

      • La Séduction : Le prédateur "travestit l'existant", se "grime totalement" pour ressembler au partenaire idéal perçu. Il joue un "rôle de composition" complètement mensonger. La proie est séduite, "se laisse aller à croire au rêve bleu", rencontrant le prince charmant ou le collaborateur idéal.
      • Le Ferrage : Une fois la proie "engagée", survient le "moment chaos", le "ferrage", où la proie ne peut plus reculer "sans y laisser des plumes". Exemples : les enfants, un CDI, un bail commun, un mariage, des confidences compromettantes, des services rendus.
      • La Destruction-Séduction : La phase la plus longue, visant à "détruire, asservir, déshumaniser la proie". Cependant, lorsque la destruction dure trop longtemps, la proie envisage de partir. À ce moment, le PN réactive la séduction, permettant à la proie de "souffler un peu" et de se dire que "ça marche" si elle s'adapte. Cette alternance de destruction et de séduction rend la relation "addicte".
      • Difficulté de discernement : Pour les observateurs extérieurs (ex: juges), la proie apparaît incohérente et stressée, tandis que le prédateur est "beau, parfumé, en costume et tout à fait cohérent", rendant le prédateur plus crédible.

      6. La Relation d'Emprise (Vue du Prédateur)

      Le prédateur, souvent décrit comme un "œuf dur qui a une faille" (Kernberg), est intrinsèquement fragile :

      • Faille narcissique : Son "moi" est fissuré dès la petite enfance. Pour le maintenir entier, il fusionne son "moi" avec son "idéal du moi", cherchant à être une "personne idéale qui n'a aucun défaut". Il passe sa vie à "réparer la coque qui fuit de toute part", à "replatrer le narcissisme qui fout le camp".
      • Vide existentiel : Malgré ses efforts, il se sent "vide, sans couleur, sans saveur, sans odeur".
      • Repérage de la proie : Il repère une proie "riche" de qualités qu'il aimerait posséder. Il manque d'"empathie aimante" mais a une "empathie d'objets", repérant les failles de la proie.
      • Fantasme de fusion : Il se précipite sur la proie dans le fantasme archaïque que s'il la possède, il "va fusionner avec elle et en quelque sorte lui voler ses qualités".
      • Constat d'échec et destruction : Une fois la proie séduite, le PN constate qu'il est "toujours aussi vide, toujours aussi nul", et que sa proie est toujours mieux que lui. Il s'offre alors un "lot de consolation" et passe à l'acte son "envie hostile", la "désinguant à la mesure de ce qu'il en est jaloux". La proie sert alors de "poubelle psychique".

      7. Qui est la Proie

      • Potentiellement tout le monde : "On peut tous se faire avoir", la séduction et la manipulation fonctionnant sur chacun.
      • Caractéristiques générales : La proie est souvent "riche", "généreuse", "solaire", "intelligente" et a souvent "du prestige".
      • Capital économique : Peut entretenir le prédateur.
      • Capital symbolique : Savoir, diplômes, prestige social. Le prédateur peut tenter de s'approprier cette culture "par délégation".
      • Capital relationnel : Réseau social et professionnel.
      • Qualités converties en défauts : Les proies sont souvent "altruistes", de "bonne volonté", "intelligentes", "capables de se remettre en question", "qui cherchent à comprendre" les motivations d'autrui, et développent une "certaine naïveté" en imaginant que "tout le monde est comme ça". Ces qualités, comme l'amour, la compréhension, le pardon, sont transformées en défauts sous emprise.
      • Vulnérabilités (non fragilités) : Les proies ont des vulnérabilités issues de leur histoire (peur de l'abandon, soif d'attention/amour, carence affective). Il est crucial de les considérer comme des "vulnérabilités" (potentiel activable) et non des "fragilités" (potentiel déjà actif), pour ne pas renforcer le gaslighting exercé par le prédateur. Le prédateur "saute à pieds joints sur les vulnérabilités qui finit par transformer en fragilité".

      8. L'Accompagnement Thérapeutique des Proies

      Déconstruire le gaslighting : Contrairement à la psychothérapie habituelle où l'on renvoie la personne à sa responsabilité, dans l'accompagnement des proies, il faut d'abord "parler de l'autre" pour "démonter le gaslighting", mettre à jour et "détricoter" les manipulations. Reconnaître les vulnérabilités : C'est seulement après avoir déconstruit les manipulations et l'impact du prédateur que l'on peut aborder les vulnérabilités de la proie, pour comprendre "par quelle vulnérabilité il vous accroche". L'objectif est de ne pas confirmer la croyance de la proie qu'elle est "dingue" ou "névrosée".

    1. "Conférence CRIAVS - Emprise", organisée par Nelson Paris, pédopsychiatre sexologue et responsable du CRIAVS Lorraine à Nancy.

      Synthèse de la Conférence CRIAVS - Emprise Cette conférence explore la notion d'emprise, en particulier chez l'enfant, en la mettant en regard avec la théorie de l'attachement et le rôle de la figure maternelle/parentale.

      Elle soulève des questions cruciales sur la limite entre un attachement sain et une relation d'emprise, en soulignant les spécificités de l'enfant en tant que victime et les défis cliniques associés.

      Thèmes Principaux et Idées Clés :

      1. L'Attachement à la Figure Maternelle/Parentale et la Notion d'Emprise Précoce

      • Distinction Attachement vs. Emprise : L'orateur introduit la difficulté de distinguer l'attachement, essentiel au développement de l'enfant, de l'emprise, qui a une connotation négative. L'objectif est de "discuter dans une journée qui est dédiée à l'adulte à l'enfant enfin voilà on parle d'un petit peu de tout en terme d'emprise donc de reprendre ce qui concerne plutôt le début de la vie euh avec donc la notion d'emprise de mettre en opposition l'emprise et peut-être l'attachement euh et d'essayer d'y comprendre qu'est-ce qui pourrait être du domaine du normal de la normale".
      • Évolution de la Terminologie de la Figure Maternelle : La notion de "figure maternelle" a évolué de la diade mère-père vers le concept de "caregiver" (Bowlby), qui peut être toute personne significative prenant soin de l'enfant, indépendamment du lien biologique ou administratif. Les évolutions sociétales (congé paternité, couples homosexuels) élargissent cette définition.
      • Rôle Essentiel de la Figure Maternelle/Caregiver : Le caregiver apporte réconfort, affection, alimentation ("rôle nourricier") et soins. L'absence de dimension affective, même avec des soins de nursing impeccables, peut être dévastatrice pour le développement de l'enfant, conduisant à des décès ou des psychoses, comme le montrent des études en orphelinat.
      • Le Lien Parent-Enfant Avant la Naissance : Le lien avec l'enfant se construit avant même la naissance, avec un "lien positif" (enfant attendu, voulu) ou parfois "négatif" (grossesses issues de violences sexuelles, ou traumas transgénérationnels des parents). Un exemple clinique frappant est celui d'une mère victime d'inceste qui qualifie son fils avant sa naissance de "violeur comme tous les autres", influençant le développement de l'enfant et conduisant à des actes de violence.
      • L'Interdépendance et le Lâcher-Prise : La relation parent-enfant est une interdépendance où chacun apporte à l'autre. Cependant, il est crucial que cette relation évolue et que le parent accepte le "lâcher-prise" à mesure que l'enfant grandit et devient moins dépendant. La difficulté de certains parents à lâcher le rôle nourricier ou le "petit dernier" peut poser problème et mener à des situations d'emprise.

      2. La Théorie de l'Attachement (Bowlby, Winnicott)

      • Le Socle Relationnel : L'attachement est le "socle quand même relationnel des êtres humains". La durée, la disponibilité et la qualité des réponses du caregiver sont fondamentales.
      • Fonctionnement de l'Attachement : Le nourrisson manifeste des besoins (câlins, pleurs) et la qualité des réponses du caregiver détermine le type d'attachement. Un attachement sécure est le "socle de la sécurité pour pouvoir explorer le monde".
      • Expériences de Harlow (Bébés Macaques) : Ces études classiques illustrent l'importance du réconfort et de la sécurité. Les bébés macaques privilégient la mère en tissu (chaleur, réconfort) même si la mère en fil de fer fournit la nourriture. En situation inconnue, la présence d'un "facteur de réassurance" (couverture) permet l'exploration.
      • Types d'Attachement :
      • Sécure (50-60%) : Permet l'exploration du monde.
      • Évitant : L'enfant ne reçoit pas de réponses adéquates, recherchant une indépendance inadaptée (ex: enfant qui ne pleure pas, car il n'a jamais de réponse parentale). "C'est là un exemple typique de cette recherche d'indépendance complètement inadaptée qui était une réponse aux besoins maternels plus qu'au besoins de l'enfant et où finalement l'enfant était à ce moment-là un objet et n'a pas été pris en compte comme un être à part entière".
      • Ambivalent/Résistant : Réponses incohérentes et instables.
      • Désorganisé : Présence de violence (maltraitance, violence conjugale, sexuelle), l'enfant craint sa figure d'attachement et reproduit la violence.
      • Rôle de l'Attachement dans le Développement : L'attachement influence le développement intellectuel (impossibilité d'apprendre en étant tétanisé), les relations sociales, et la capacité à créer du lien. Les attachements insécures sont à la base de troubles de la personnalité et augmentent le risque d'être "plus facilement victime ou auteur d'emprise".

      3. Spécificités de l'Emprise chez l'Enfant

      • Dépendance Naturelle de l'Enfant : L'enfant est intrinsèquement dépendant des adultes et "ne peut pas s'extraire de ce milieu-là". Il n'a pas l'autonomie critique pour juger les situations.
      • Intégration des Repères Parentaux : Les repères de l'enfant sont ceux inculqués par les adultes, ce qui rend difficile toute critique de ce qui est "normal" ou "pas normal".
      • Recherche d'Affection et Conflits de Loyauté : L'enfant recherche naturellement l'affection du parent, ce qui alimente l'emprise sans même nécessiter une phase de séduction explicite. Les conflits de loyauté rendent difficile pour un enfant de critiquer un parent, même en présence d'un système familial dysfonctionnel.
      • Naïveté et Vulnérabilités : L'enfant présente une plus grande naïveté et une confiance naturelle envers les adultes, augmentant sa vulnérabilité. Les "événements d'adversité" (ACE) fragilisent l'attachement et augmentent le risque d'être impliqué dans des relations d'emprise.
      • Vulnérabilité et Emprise (même avec un attachement sécure) : Un attachement sécure est un facteur protecteur, mais des facteurs de stress accumulés (ex: infidélité, perte d'emploi, maladie) peuvent rendre n'importe qui vulnérable et tolérer des situations inacceptables, menant potentiellement à l'emprise.

      4. Situations Cliniques d'Emprise en Pédopsychiatrie

      • Münchausen par Procuration : Maladie simulée ou produite délibérément par un parent chez son enfant, souvent pour obtenir une reconnaissance ou pour répondre à un besoin psychique propre du parent (ex: culpabilité face à une maladie génétique transmise). L'enfant n'est pas scolarisé, renforçant le lien. Le risque est le "nomadisme médical".
      • Le diagnostic exige une évaluation en équipe pluridisciplinaire, en prenant le temps de comprendre la dynamique familiale et de ne pas faire de signalement trop rapide.
      • L'orateur estime que le Münchausen par procuration, notamment dans ses formes psychiques, relève de l'emprise, car il s'agit d'un "système relationnel" où l'enfant ne pense plus par lui-même.
      • Aliénation Parentale : Concept débattu où un parent utilise l'enfant pour nuire à l'autre parent et l'exclure de la vie de l'enfant.
      • Controverse : Initialement décrit par Richard Gardner, sa validité scientifique est contestée. Le risque majeur de l'utilisation de ce terme est que "l'enfant n'est plus entendu".
      • Impact Judiciaire : Des études aux États-Unis montrent que l'invocation de l'aliénation parentale par le père divise par deux la probabilité que les accusations de violence faites par la mère soient reconnues, et presque par quatre quand il s'agit de violence envers les enfants, et quasiment jamais pour les accusations de violence sexuelle (2%). Cela peut conduire à ce que des enfants soient confiés à des parents violents ou agresseurs sexuels.
      • L'orateur souligne la nécessité d'une prise en charge globale du système familial si ce concept est retenu, afin d'éviter des préjudices à l'enfant.
      • Inceste : Caractérisé par une "emprise généralisée" où le silence est imposé pour assurer l'impunité de l'agresseur. La structure familiale est "contaminée", et souvent, même lorsque l'enfant parle et est cru, "il se passe rien" (45% des confidents ne font rien). Les agressions ont lieu en présence d'autres membres de la famille dans près d'un cas sur deux, menant à une banalisation et des "distorsions" de la réalité.
      • Loverboy (Prostitution des Mineurs) : Un adolescent (le proxénète) exploite une jeune fille (souvent sa petite amie) par la prostitution, en utilisant le "champ émotionnel" plutôt que la menace directe.
      • Mise en place : Création d'une dépendance affective et financière, isolement de la victime, et potentiellement incitation à la prise de psychotropes.
      • Exploitation : Demandes de prostitution de plus en plus fréquentes, avec un mécanisme de "remboursement" des dépenses créant une dette illusoire.
      • Profil des Victimes : Tous les milieux peuvent être touchés, mais les jeunes filles "carencées avec des attachements insécures" sont plus à risque. Le recrutement se fait souvent dans des foyers, et les victimes peuvent percevoir cette relation comme une forme d'amour ou une "meilleure vie".
      • Défis de l'Accompagnement : La prise en charge est complexe, nécessitant une présence durable et la recherche d'un lien pour développer la "capacité critique" de la victime, sans enfermer, car la récidive est fréquente.

      Conclusion Générale :

      La conférence insiste sur la complexité de l'emprise, particulièrement chez l'enfant, qui est naturellement dépendant et vulnérable. Les troubles de l'attachement, souvent transmis de génération en génération, constituent un facteur de risque majeur pour devenir victime ou auteur d'emprise.

      Cependant, l'emprise peut aussi survenir chez des individus avec un attachement sécure, en cas d'accumulation de facteurs de stress et de vulnérabilités.

      L'orateur souligne l'importance d'une approche pluridisciplinaire et d'une prise en charge attentive pour protéger les enfants et déconstruire les mécanismes de l'emprise.

      La prudence est de mise concernant certains concepts controversés comme l'aliénation parentale, dont l'invocation peut nuire aux victimes et détourner l'attention des violences subies.

    1. Note de Synthèse : Les Enfants, Sentinelles des Inégalités d'Exposition aux Contaminations Industrielles et aux Pesticides

      Date : 2024-2025 Source : Extraits de "La production sociale des inégalités de santé (14) - Nathalie Bajos", cours de Giovanni Prété.

      • Résumé Exécutif : Le sociologue Giovanni Prété, lors du séminaire de Nathalie Bajos sur les inégalités sociales de santé, propose de considérer les enfants comme des "sentinelles des inégalités d'exposition aux contaminations industrielles".

      Son exposé démontre comment les dispositifs de réparation des risques industriels, établis au 20ème siècle, reposent sur des postulats discutables : la distinction nette entre contaminations professionnelles et environnementales, et la concentration de la réparation sur les travailleurs adultes, excluant souvent les riverains et les enfants.

      Des recherches croissantes documentent les effets des pollutions industrielles sur la santé des enfants et les inégalités sociales qui les traversent, notamment concernant les pesticides.

      Prété souligne que la production de connaissances et la reconnaissance des maladies pédiatriques liées à ces expositions sont entravées par des obstacles méthodologiques, politiques et sociaux, notamment la difficulté à établir la causalité, le manque de données fines, et le sentiment de culpabilité des familles.

      Thèmes Principaux et Idées Clés :

      1. La Contamination du Monde et l'Émergence d'un Nouvel Univers Chimique :

      • L'industrialisation a conduit à une augmentation sans précédent de la production de richesses, mais aussi à une "diffusion massive de substances polluantes contaminant la vie humaine et la vie non-humaine." (Prété, citant Jarig et Lerou)
      • La production chimique de synthèse a explosé : "multipliée par 1000 en tonnages entre 1930 et 2000, puis par depuis 2000". Il y aurait "aujourd'hui 194 millions de molécules publiées dont probablement 100 000 environ commercialisées en Europe." (Prété, citant Remy Sama)
      • Cette contamination entraîne des pathologies chroniques, difficiles à dénombrer précisément en raison de leur non-spécificité et des "temps de latence longs" (plusieurs décennies).

      2. Les Postulats Discutables des Dispositifs de Réparation Historiques :

      • Cloisonnement Santé Environnementale / Santé au Travail : Les dispositifs de réparation (accidents du travail 1898, maladies professionnelles 1919) reposent sur une distinction rigide entre maladies professionnelles et environnementales, excluant le travail de l'environnement.
      • Conséquence concrète : les modes de réparation diffèrent. Un travailleur exposé au mercure peut bénéficier d'une présomption d'origine, tandis qu'un riverain exposé à la même substance via l'eau doit engager des "démarches civiles bien plus longues à faire aboutir et bien plus incertaines."
      • Ce cloisonnement se manifeste également dans l'organisation des politiques de prévention (inspection du travail vs. inspecteurs des installations classées).
      • Exclusion des Enfants des Dispositifs de Réparation : Historiquement, les enfants travailleurs étaient reconnus comme victimes de l'industrialisation (ex: étude de Percival Pott sur le cancer du scrotome des ramoneurs en 1775, loi sur les ramoneurs en 1788).
      • Cependant, à mesure que les enfants ont été progressivement exclus du monde professionnel (interdictions successives du travail des enfants en France : moins de 8 ans en 1841, moins de 13 ans en 1890, moins de 16 ans en 1967), ils ont été "de moins en moins considérés comme des victimes des transformations du travail via l'industrialisation et leurs expositions et réparations sont écartées des dispositifs assurantiels mis en place en France en 1998 et en 1919."

      3. Les Enfants comme Sentinelles et les Effets des Contaminations Industrielles sur leur Santé :

      • Vulnérabilité Spécifique des Enfants :Les expositions in utero sont "préoccupantes pour le futur en développement" car c'est une "période de sensibilité accrue aux agents tératogènes et aux expositions environnementales" qui peuvent influencer la santé à l'âge adulte (concept de l'origine développementale de la santé des maladies, David Barker).
      • Après la naissance, les jeunes enfants sont plus exposés aux contaminants (temps passé au sol, ingestion d'objets) et ont un "apport plus élevé en nourriture, en eau et en air par unité de poids corporel", rendant les faibles expositions potentiellement très impactantes.
      • Preuves Scientifiques Croissantes : Il est "admis aujourd'hui le rôle étiologique c'est-à-dire causal des expositions prénatales ou infantiles à certains facteurs de risque dit environnementaux mais qui incluent des facteurs professionnels" pour des pathologies comme les leucémies infantiles (radiations ionisantes, radon, pesticides, solvants).
      • Inégalités Sociales Face aux Maladies Pédiatriques Industrielles :Inégalités d'exposition : "les populations socio-économiquement défavorisées et les populations minoritaires supportent en général un fardeau disproportionné de l'exposition aux pollutions industrielles" (ex: corrélation incinérateurs/faibles revenus/immigrés). Ces inégalités peuvent impliquer des "expositions cumulées" (professionnelles, air intérieur, transports). Cependant, certains cas montrent des gradients non univoques (ex: certaines pollutions chimiques persistantes plus fortes chez les mères favorisées).
      • Inégalités de vulnérabilité : "les populations socio-économiquement défavorisées et les populations minoritaires sont plus vulnérables aux conséquences d'une exposition à des pollutions industrielles même quand elles sont plus faiblement exposées." Cela s'explique par une moins bonne santé initiale, un moindre recours à la prévention/soins, et une capacité réduite à échapper aux expositions (ex: difficulté à déménager).
      • "les enfants pauvres sont victimes d'une double peine" : plus vulnérables à la pollution de l'air en tant qu'enfants, et cette vulnérabilité est "exacerbée par leur statut socio-économique."

      4. Controverses et Obstacles à la Reconnaissance :

      • Débats sur l'ampleur et la causalité : Il existe des "débats sur l'ampleur de l'augmentation des maladies pédiatriques possiblement lié à des pollutions industrielles et sur le rôle des facteurs environnementaux". La Société française de lutte contre les cancers et les leucémies de l'enfant et de l'adolescent a par exemple affirmé publiquement "qu'il n'y a pas d'épidémie de cancer pédiatrique" et a relativisé le rôle des facteurs environnementaux, en contradiction avec d'autres scientifiques et associations pointant des augmentations dans d'autres pays et l'existence de "clusters inquiétants" (ex: Sainte-Pazanne).
      • Difficultés méthodologiques :Mesure de la santé : fragmentation des bases de données en France, absence de registres complets pour certaines pathologies (malformations, problèmes périnataux).
      • Mesure de l'environnement : manque de données environnementales "à des échelles suffisamment fines pour pouvoir objectiver des effets de santé et encore moins des inégalités sociales environnementales."
      • Obstacles politiques et sociaux à la production de connaissances :Les dangers des pesticides sont connus mais leur diffusion a été justifiée par une "fiction d'action publique" d'utilisation sans risque, basée sur des études de toxicologie.
      • Les données épidémiologiques sont arrivées tardivement et se sont concentrées sur les travailleurs masculins permanents, délaissant les femmes, intérimaires, saisonniers, et les expositions indirectes ou les populations difficiles à suivre (migrants, enfants).
      • Les industriels et organisations professionnelles "font obstacle délibérément à la circulation de l'information sur les pesticides" (composition exacte des produits, données d'utilisation à l'échelle de la parcelle), rendant la recherche "longue, coûteuse et décourageante".

      5. La Traduction Politique Réductrice des Connaissances et la Reconnaissance du Droit des Enfants :

      • Limitation des tableaux de maladies professionnelles : Malgré l'accumulation de données épidémiologiques, la création de tableaux de maladies professionnelles liées aux pesticides (cancer du sang, Parkinson, cancer de la prostate) s'est faite "après à chaque fois des négociations visant à limiter leur périmètre." Ils n'incluent pas toutes les pathologies documentées et, surtout, "ne prennent pas en compte les riverains".
      • Marginalisation des riverains : Les mobilisations pour un fonds d'indemnisation de toutes les victimes des pesticides n'ont pas abouti "devant les craintes du gouvernement de voir d'autres victimes environnementales s'en inspirer."
      • Création du droit pour les victimes pédiatriques professionnelles :Une avancée majeure : le Fonds d'Indemnisation des Victimes des Pesticides (FIVP) est désormais "chargé d'instruire les demandes de réparation concernant les enfants dont les problèmes de santé pourraient être liés à une exposition professionnelle au pesticides de leurs parents dans la période prénatale."
      • Ce droit ne bénéficie pas d'une présomption d'origine ; les familles doivent soumettre une demande évaluée par un groupe d'experts.
      • Cette création est liée aux mobilisations associatives et politiques, à l'évolution de la figure de l'enfant dans les sociétés industrielles ("sacralisés" et "valeur plus grande sur le marché de l'assurance", Viviana Zelizer), et aux expertises collectives de l'INCERM (2013, 2021) établissant un "présomption forte de lien entre certaines pathologies (leucémies, tumeurs cérébrales, troubles du neurodéveloppement, malformations congénitales) et l'exposition des parents au pesticides en milieu professionnel."

      6. Sous-Déclaration et Obstacles au Recours des Familles :

      • Seuls "22 [dossiers] concernés des maladies pédiatriques sur les 1970 dossiers reçus par le fond d'anémisation des victimes des pesticides entre 2020 et 2023", ce qui illustre un phénomène de "non recours au droit et de sous-déclaration et de sous-reconnaissance."
      • Facteurs sociaux influençant le parcours de reconnaissance :Faible communication institutionnelle : Le fond a eu une "communication très faible" auprès des associations et professionnels de santé. "Pour activer un droit il faut connaître ce droit."
      • Manque d'information des professionnels de santé : Les médecins (oncopédiatres, chirurgiens pédiatriques) informent rarement les familles d'une étiologie professionnelle possible, car ils sont peu formés sur les causes, centrés sur le soin, et "la question de la causalité du fait des incertitudes qu'elle renferme à l'échelle individuelle met des médecins dans une situation inconfortable."
      • Inégalités sociales face à la médecine : La capacité des familles à questionner l'étiologie dépend de leurs "ressources sociales et culturelles assez importantes pour réduire la symétrie d'information et de savoir entre les médecins et les patients."
      • Enjeux de Responsabilité et de Culpabilité :Les familles médiatisées (Gratalou, Marivin) ont des situations d'exposition "particulières" (exposition accidentelle au glyphosate, exposition salariée en fleuristerie) qui leur offrent des "prises pour construire une représentation limitée (...) de leur responsabilité dans la maladie de leur enfant", facilitant leurs démarches.
      • Les "travailleurs indépendants ont un sentiment de responsabilité plus fort et une difficulté plus grande à recourir en fond que les salariés." En particulier, les "exploitants agricoles rencontrés qui ayant utilisé délibérément des pesticides (...) peuvent se refuser à entrer dans une démarche médico-administrative impliquant de reconnaître pour eux-même et pour l'extérieur que leurs pratiques ont pu empoisonner leurs enfants." (Exemple de l'entretien avec une conjointe d'agriculteur).
      • La prise en charge institutionnelle (FIVP) et le rôle des associations ou consultations spécialisées peuvent être des "levier[s] direct[s] de déculpabilisation des familles" en politisant les maladies pédiatriques et en soulignant qu'elles sont la "conséquence de choix de développement industriel collectif."

      7. Conclusion : Les Enfants, Sentinelles des Politiques Publiques :

      Malgré les incertitudes scientifiques et la complexité multifactorielle des phénomènes, les maladies pédiatriques "révèlent des lacunes des politiques de protection des travailleurs et de l'environnement."

      "leur mise en évidence les doutes qu'elles soulèvent devraient être une invitation non pas à l'attente à l'inaction mais à une réflexion sur notre dépendance au produits chimiques et à une action collective pour s'en affranchir." (Prété)

    1. Document de Synthèse : La Production Sociale des Inégalités de Santé et le Cas de l'Avortement en France

      • Ce document de synthèse s'appuie sur la présentation de Raphaël Perin, jeune sociologue, qui a mené une thèse sur les médecins et la pratique de l'avortement, et qui s'inscrit dans une nouvelle vague de recherche sociologique sur la santé sexuelle et reproductive en France, initiée notamment par Nathalie Bajos.

      La présentation met en lumière la manière dont la médecine, en prodiguant des soins, peut paradoxalement créer des inégalités de santé, en se basant sur le cas spécifique de l'avortement en France.

      1. Contexte de la Recherche et Importance du Sujet

      • Renouveau de la recherche sociologique en France : Après une longue période de quasi-absence, la recherche sociologique sur l'avortement et la contraception en France connaît un essor significatif. Nathalie Bajos souligne l'émergence d'une "vraie force de recherche dans ce domaine en France," avec de nombreuses thèses et la création d'un laboratoire dédié (Lab Genré Contraception).

      Cette masse critique de recherche permet de "produire des connaissances scientifiques et critiques sur le sujet."

      • Les inégalités de santé comme axe central : Les travaux de Raphaël Perin s'inscrivent dans la lignée des recherches de Nathalie Bajos sur les inégalités de santé, abordant spécifiquement le troisième niveau de production de ces inégalités : la prise en charge par le système de santé.

      L'objectif est de comprendre "la manière dont la médecine en soignant crée des inégalités de santé, ce qui peut paraître contre-intuitif."

      • Pertinence de l'avortement comme cas d'étude :Enjeux politiques et sanitaires : L'avortement est intrinsèquement lié à des questions politiques et sanitaires. Bien que légal en France, son accès égalitaire reste un défi. Dans les pays où il est illégal, il est une cause majeure de mortalité.
      • Portée démographique et sociale : En France, environ 220 000 IVG sont pratiquées par an, concernant "une femme sur trois au cours de sa vie, une femme sur sept recourt deux fois ou plus." Cette large portée, touchant "presque toutes les catégories sociales," en fait un terrain propice à "l'objectivation et à l'observation en série des différences de traitement par l'institution médicale."
      • Cas "contre-intuitif" d'inégalités : L'IVG est un acte médicalement sûr, sans diagnostic complexe (hors confirmation de grossesse intra-utérine) et la loi donne explicitement aux femmes le choix de la méthode. On s'attendrait donc "naïvement à ce qu'il n'y ait pas de variation et pas d'inégalité dans la prise en charge." C'est précisément ce contraste qui rend l'étude de l'avortement "particulièrement fécond[e] pour penser la production médicale des inégalités."

      2. Le Paradoxe de l'Accès à l'Avortement en France :

      Une Loi Simplifiée, une Pratique Complexe et Inégalitaire * Simplification législative théorique : La loi sur l'avortement a connu 50 ans de réformes successives, considérablement simplifiant le cadre légal. Les femmes n'ont plus l'obligation d'attendre une semaine de réflexion, de voir une psychologue, peuvent avorter à domicile, gratuitement, et à des termes plus avancés. Les étrangères non résidentes et les mineures ont également un accès facilité. * Complexité et inégalités pratiques : Malgré la loi, "en pratique l'avortement reste une pratique procréative stigmatisée, taboue" et "l'accès à l'avortement en particulier reste long, complexe, semé d'embûches et inégalitaire." La condition majeure est que l'acte doit être réalisé par un médecin ou une sage-femme, leur "marge de manœuvre dans cette application de la loi" devenant cruciale. * Méthodologie de la recherche : La thèse de Raphaël Perin s'appuie sur une enquête de 4 ans, incluant 6 mois d'observation dans trois centres d'IVG (grande métropole, ville moyenne avec équipe féministe, département rural sous-doté), des entretiens avec des professionnels de santé de toute la France et une enquête qualitative auprès de 1000 médecins.

      3. Les Inégalités d'Accès à l'Avortement en France :

      Variations selon les Médecins, les Centres et les Femmes Raphaël Perin révèle une "grande variation des parcours d'IVG, des modalités de l'avortement selon deux choses : selon les femmes qui le demandent et selon les médecins à qui elles le demandent ou les centres dans lesquels ils travaillent."

      • Variations liées aux professionnels de santé et aux centres :Rapidité du parcours : Malgré la suppression du délai d'attente obligatoire, la plupart des centres imposent un délai incompressible (1 à 2 jours, voire plus), tandis qu'une minorité permet l'avortement le jour même.
      • Terme gestationnel : Certains centres acceptent l'avortement dès le premier signe de retard de règles, d'autres contraignent les femmes à attendre que l'embryon soit visible à l'échographie, ce qui retarde la prise en charge de plusieurs semaines.
      • Limite de terme : Bien que la loi autorise jusqu'à 14 semaines, certains centres refusent au-delà de 10 ou 12 semaines pour des "raisons de refus de médecin[s] de pratiquer ce geste à des termes avancés." De plus, des "subtilités dans le calcul du terme de grossesse" peuvent entraîner des différences allant jusqu'à deux semaines d'un centre à l'autre pour la même grossesse.
      • Conditions imposées : De nombreux centres maintiennent des exigences non obligatoires, comme l'entretien psychosocial (rendu optionnel en 2001) ou la prise du premier médicament abortif au centre, ce qui est "non seulement assez infantilisante mais qui contraint le moment [...] du déclenchement de l'expulsion." Des "examens intimes et non obligatoires," comme le toucher vaginal, peuvent également être imposés.
      • Choix de la méthode : Le choix de la méthode (médicamenteuse ou instrumentale) n'est pas toujours laissé aux femmes. Si des médecins ne pratiquent pas l'IVG chirurgicale ou ne l'aiment pas, les femmes sont "contraintes ou fortement orientées" vers la méthode médicamenteuse.
      • Motivations des complications : "L'inertie d'une représentation de l'avortement comme étant un acte grave, dramatique, voire traumatique qu'il faut prévenir ou à minima défaut qu'il faut encadrer plutôt qu'un acte procréatif simple, sécurisé et banal." Ce n'est pas tant une opposition morale généralisée (le soutien au droit à l'avortement est "très fort, très répandu" parmi les médecins) qu'une réticence à le pratiquer soi-même et la conviction que "sans cet encadrement l'avortement va être traumatique pour les femmes." La phrase fréquente est : "On n'est pas là pour vider des utérus", signifiant que le cœur du travail est l'accompagnement et l'éducation, pas la simple interruption de grossesse.
      • Variations selon les femmes (valeur sociale) :Exemples flagrants de différenciation : Des cas concrets illustrent des traitements radicalement différents. Une étudiante infirmière blanche de 20 ans, sympathique, se voit accorder une exception pour avorter le jour même en urgence pour ne pas manquer ses partiels. Une femme noire nigériane anglophone de 28 ans issue d'un quartier populaire, demandant la même chose car habitant loin, se voit refuser catégoriquement, l'infirmière affirmant qu'aucune exception n'est possible.
      • Jugements moraux et "valeur sociale" : Inspiré de la sociologie de la différenciation des pratiques médicales, le concept de "valeur sociale" condense "les jugements moraux que portent les professionnels de santé sur les patients et patientes selon leur comportement et selon leurs caractéristiques sociales et en particulier leur position dans les rapports de classe de race et d'âge."
      • Critères de la "bonne avortante" : Les femmes les plus jeunes qui "ne peuvent vraiment pas avoir d'enfants aussitôt" et celles qui "ressemblent socialement aux professionnels de santé (plutôt les femmes blanches francophones de classe moyenne ou supérieure)" bénéficient d'une meilleure prise en charge. Les professionnelles de santé elles-mêmes accèdent à l'IVG avec un minimum de contraintes. Le "respect des normes sexuelles et procréatives" est également clé : avorter peu (une ou deux fois), adopter une contraception jugée efficace, avorter précocement, et afficher "un peu de détresse mais pas trop." Les "bonnes avortantes ont plus de chance d'être prises en charge rapidement, hors délais ou de pouvoir choisir les modalités de leur avortement."
      • Conclusion partielle : "Toutes les femmes ont droit à l'avortement en France mais certaines y ont plus droit que d'autres."

      4. La Domination Médicale et ses Mécanismes

      • La capacité des médecins à contrôler les modalités de l'avortement malgré la loi qui les place en "prestataire de service" est expliquée par le concept de "domination médicale."
      • Définition de la domination médicale : C'est un "rapport social spécifique" qui diffère du simple pouvoir. Le pouvoir est la capacité d'influencer autrui ; la domination est une forme particulière de pouvoir où celui-ci est "soit invisible, soit reconnu comme légitime, naturel ou bénéfique," intériorisé par les dominés et les dominants. Il s'agit d'une "asymétrie structurelle qui dépasse les simples contextes individuels de soins" et qui permet aux médecins de contrôler les comportements des patients.
      • Causes de l'asymétrie structurelle :Vulnérabilité physique ou psychologique des patients (maladie, grossesse).
      • Détention d'un savoir expert par les médecins.
      • Monopole légal de l'accès aux biens de santé (médicaments, infrastructures, droit de pratiquer).
      • La combinaison de ces facteurs crée une situation de "dépendance autant que de domination."
      • Mécanismes de contrôle des comportements :En amont : Interprétation de la loi : Les médecins définissent les règles du cadre de l'IVG (nombre et contenu des consultations, durée des parcours). L'exemple le plus frappant est la datation de la grossesse. La loi ne définit pas comment dater une grossesse jusqu'à 14 semaines. Bien que l'échographie soit utilisée, elle donne une image (taille du fœtus) et non un âge gestationnel précis. Les médecins fixent une "taille maximale de fœtus" au-delà de laquelle ils n'autorisent plus l'avortement, et cette taille varie d'un centre à l'autre selon leurs préférences morales ou politiques. Il peut y avoir "une différence allant jusqu'à 10 jours d'un centre à un autre de ce que c'est qu'une grossesse de 14 semaines." Cela rend le contrôle "complètement invisible cette dimension de pouvoir et de marge de manœuvre."
      • Dans l'interaction : Micro-techniques de pouvoir : Ces techniques s'appuient sur le "capital symbolique des médecins" (experts compétents et désintéressés).
      • Conseils : Présenter une option comme "la meilleure" pour la patiente ("l'implant c'est génial," "l'aspiration je vous le déconseille").
      • Menaces de complications sanitaires : Faire craindre des risques sur la fertilité pour encourager l'adoption d'une contraception, même si ces risques sont infondés (ex: "3 IVG pas de contraception vous risquez de pas réussir à en faire").
      • Appel à la loi ou au protocole : Invoquer une contrainte objective pour nier leur marge de manœuvre ("c'est la loi, c'est obligatoire, c'est le protocole").
      • Maîtrise du temps : Jouer sur les délais pour influencer le comportement ou le choix de méthode (proposer l'IVG médicamenteuse "tout de suite" et l'instrumentale "dans une ou deux semaines").
      • Le mensonge : Ces techniques "s'appuie[nt] assez largement sur le mensonge," qui, bien que commun, est difficile à "analyser le fait que les médecins mentent" en raison de leur capital symbolique.
      • Le consentement : Le consentement tel que pratiqué "ne correspond pas du tout à une adhésion libre et éclairée." L'asymétrie de la domination médicale "brouille la question du consentement." Il est "largement produit en amont de l'interaction et dans l'interaction médicale."

      5. Apprentissage de la Domination Médicale et Intersectionnalité

      • Socialisation des médecins : Devenir médecin, c'est aussi "intérioriser une des manière de faire, de penser et de sentir qui correspondent à leur position dans le rapport de domination," c'est "apprendre à exercer le pouvoir et à s'y sentir légitime." Cette socialisation peut inclure un "apprentissage pratique, scolaire presque du paternalisme," même si initialement les internes peuvent ne pas être à l'aise avec cette autorité.
      • Hétérogénéité de la profession médicale : Il est crucial de souligner que la médecine n'est pas homogène. Les parcours professionnels, les influences non professionnelles (génération, expérience personnelle de l'avortement, socialisation politique et engagement féministe) définissent des manières différentes d'exercer. Les médecins formés aux rapports sociaux de pouvoir ont de meilleures chances de ne pas reproduire les inégalités.
      • Intersection de la domination médicale et des rapports sociaux : La capacité des femmes à contrôler les modalités de leur avortement varie "plus ou moins selon qui elles sont." Les micro-techniques de pouvoir et le mensonge sont appliqués différemment.
      • Exemple de la consultation post-IVG : Une femme blanche de 25 ans se voit offrir le choix d'un examen de confirmation du succès de l'IVG. Une femme racisée voilée de 30 ans, avec un taux d'hormone tout aussi bon, se voit imposer un examen vaginal et une échographie, sans choix. La médecin justifie cela en estimant que la première femme est "plus structurée mentalement" et peut comprendre sans examen, tandis que la seconde n'aurait pas les "capacités mentales pour le comprendre," une différence basée uniquement sur "les caractéristiques sociales de ces deux femmes."
      • Inégalités du consentement et violences médicales : Le consentement "libre et éclairé" est une norme contraignante face à "certaines femmes." Celles "qui occupent une position dominée dans les rapports de classe et de race, les plus jeunes, celles qui s'écartent aussi des normes sanitaires et sexuelles ne sont pas jugés aussi responsable et capable de prendre des décisions éclairées." Le paternalisme devient un "devoir professionnel" envers elles. Les "violences médicales" (familiarité excessive, humiliation, sexualisation des patientes par des médecins hommes) sont plus susceptibles de survenir lorsque les patientes sont "en position socialement dominée" (femmes, enfants, femmes racisées, classes populaires précaires, personnes handicapées, minorités de genre ou sexuelles).
      • Racisme et altérité : Les femmes racisées et allophones sont non seulement "moins bien traitées médicalement" (stéréotypes racialisants, non-prise en compte de l'allophonie, refus de l'interprétariat), mais aussi "moins bien soignées en raison de la non prise en compte de leur halophonie [...] mais aussi parce qu'elles sont traitées avec moins de respect dans l'interaction." Des cas de "prises en charges ouvertement racistes" sont observés.

      6. Implications et Perspectives

      • Au-delà des inégalités territoriales : Les inégalités liées à l'avortement ne se limitent pas à l'offre de soins mais sont profondément ancrées dans les "pratiques concrètes des professionnels de santé," même ceux favorables aux droits à l'avortement.

      • Intérêt scientifique, médical et politique de l'analyse sociologique :Formation des médecins : L'analyse souligne l'importance de former les médecins aux rapports sociaux de pouvoir pour atténuer les inégalités de santé.

      • Politiques publiques et luttes pour les droits reproductifs : Le discours sociologique complète les discours existants en France :

      • Le "discours glorificateur des pouvoirs publics" qui "tendent à exagérer les acquis à considérer comme achever la lutte pour l'avortement."

      • Le "regard sombre porté à raison sur l'état actuel du droit à l'avortement et de ses évolutions" qui, en se concentrant sur ce qui pourrait être perdu, "conduit parfois à oublier ce qu'il reste à améliorer."

      • La recherche fournit des pistes pour une politique "non seulement défensive de ne pas perdre le droit à l'avortement mais de continuer à rendre ce droit plus effectif, plus égalitaire ou à continuer à le développer."

      • Redéfinition des inégalités de santé : Les inégalités de santé ne se limitent pas à l'accès aux soins ou aux différences de mortalité, mais incluent "la manière d'être traité, d'être considéré et de contrôler les conditions et les modalités de ces soins."

      • La médecine comme productrice de hiérarchies sociales : La domination médicale et la différenciation des pratiques créent des différences d'accès aux traitements et, au-delà, contribuent, aux côtés d'autres institutions, "au processus de production et d'intériorisation des hiérarchies sociales."

      La médecine "participe à les former en faisant de ces différences des marqueurs signifiant de supériorité ou d'infériorité et en y socialisant les patients."

      • En somme, il ne s'agit pas seulement de voir "ce que l'ordre social fait à la médecine," mais aussi "ce que la médecine fait à l'ordre social," en instituant et reproduisant des inégalités non seulement sanitaires mais aussi sociales.
    1. Note de synthèse : La production sociale des inégalités de santé au travail

      Introduction

      • Ce document de synthèse s'appuie sur la conférence de Nathalie Bajos (2024-2025) intitulée "La production sociale des inégalités de santé (13)", qui explore la question majeure des risques et accidents du travail, ainsi que des maladies professionnelles. L'objectif est de mettre en lumière l'ampleur et la complexité de ce phénomène, souvent sous-estimé et invisible, et d'analyser les mécanismes sociaux qui favorisent la production des inégalités de santé liées au travail.

        1. L'ampleur et l'invisibilité des risques et accidents du travail
      • La conférence souligne que le travail, dans tous les pays du monde, affecte la santé des individus. Il existe une causalité complexe et bidirectionnelle entre l'exposition professionnelle et l'état de santé, l'état de santé pouvant également influencer les trajectoires professionnelles.

      • Les chiffres officiels, bien que sous-estimés, témoignent de l'ampleur du problème :
      • En 2023, on comptait 1287 décès liés au travail, 555 803 accidents du travail et 47 434 maladies professionnelles.
      • Nathalie Bajos insiste sur le fait que ces chiffres ne représentent que « la partie visible de l'iceberg ». La sous-estimation est due au fait que les problèmes ne sont pas toujours connus, déclarés ou reconnus comme professionnels. Le système de l'assurance maladie, axé sur la gestion financière des rentes, contribue à cette sous-déclaration.
      • L'invisibilité sociale des accidents du travail et des maladies professionnelles est un problème majeur depuis au moins 30 ans.

      1.1. L'évolution préoccupante des conditions de travail

      • Les conditions de travail se sont dégradées en France et dans de nombreux pays européens depuis le début des années 1990. Cette dégradation est attribuée à :
      • L'intensification du travail : marquée par des délais courts et des rythmes de travail plus élevés, générant chez les actifs le sentiment d'être « empêché de fournir un travail de qualité ».
      • Le « travail pressé » : un nouveau modèle qui s'est imposé dans tous les secteurs, où plus de la moitié des actifs occupés doivent travailler « toujours ou souvent dans des délais très stricts et très courts ».
      • Le management par objectif et le « toyotisme » dévoyé : Initié pour sortir du taylorisme en fixant des objectifs aux équipes, ce modèle a souvent conduit à une rigidification avec des indicateurs de performance et du reporting permanent, « la fin de l'autonomie et compliqué à l'envie le travail des salariés ». Ce phénomène touche aussi bien le secteur privé que le public.
      • Contrastes avec les organisations apprenantes : Les pays d'Europe du Nord ont développé des organisations apprenantes où les salariés participent activement à l'élaboration des objectifs et disposent d'autonomie, ce qui se traduit par une plus grande satisfaction.

      1.2. Données sur les expositions physiques et psychosociales

      • Expositions physiques : Elles sont en hausse en Europe depuis les années 1990. En France, la proportion de salariés subissant au moins trois contraintes physiques a triplé en 30 ans (passant de 22% des ouvriers en 1984 à 62%).
      • En 2022, 35% des hommes et plus de 30% des femmes sont exposés à au moins trois contraintes physiques intenses (mouvements douloureux/fatigants, bruit intense, produits dangereux, fumées/poussières).
      • Les hommes sont plus exposés en moyenne, notamment aux produits dangereux et au bruit.
      • Les ouvriers sont systématiquement les plus touchés par ces contraintes physiques par rapport aux autres catégories socioprofessionnelles.
      • L'exposition aux produits cancérogènes reste élevée, notamment chez les ouvriers qualifiés (plus de 30% en Île-de-France en 2003).
      • La France se caractérise par une situation plus défavorable que la moyenne européenne et d'autres pays comme l'Allemagne ou les Pays-Bas concernant les postures douloureuses, le port de charges lourdes, l'exposition à des produits toxiques ou les mouvements répétitifs.
      • Risques psychosociaux (RPS) : Les nouveaux modes d'organisation du travail et les exigences croissantes de performance individuelle ont favorisé leur développement.
      • Les RPS ont dépassé pour la première fois les troubles musculo-squelettiques comme problème de santé le plus important lié au travail.
      • Travailler sous pression est plus fréquent chez les cadres (>40%), tandis que le sentiment d'inutilité est plus élevé chez les ouvriers.
      • L'exposition répétée au stress est clairement identifiée comme liée aux troubles mentaux, ainsi que l'intensité du travail, les contraintes horaires, les relations hiérarchiques, le manque de reconnaissance, et les violences au travail.
      • Coût économique : Les maladies et accidents liés au travail coûtent à l'Union européenne environ 476 milliards d'euros par an, soit 3% du PIB de l'UE, soulignant que cet enjeu est non seulement social mais aussi économique.

      2. Les facteurs de risque identifiés et leurs conséquences

      • De nombreuses études épidémiologiques identifient des facteurs de risque spécifiques associés à diverses pathologies :
      • Expositions mécaniques : postures inconfortables, mouvements répétitifs, manipulation de charges lourdes, vibrations (douleurs lombaires, troubles musculo-squelettiques).
      • Produits chimiques et biologiques : poussières, fumées, produits dangereux (cancers, maladies respiratoires).
      • Risques psychosociaux : intensité du travail, stress, manque d'autonomie, contraintes horaires, mauvaises relations hiérarchiques (troubles mentaux, dépression, burn-out).
      • Ces risques ont des effets à long terme sur le corps et la santé, souvent cumulatifs et se renforçant mutuellement.

      3. Les obstacles à la reconnaissance et à la visibilisation

      • Malgré l'ampleur du problème, plusieurs facteurs contribuent à l'invisibilité et à la méconnaissance des liens entre conditions de travail et santé :
      • 3.1. Phénomènes de sélection et limites méthodologiques

      • Effet du travailleur sain : Les personnes en mauvaise santé sont susceptibles d'éviter les expositions professionnelles et sont moins maintenues en emploi, ou ne sont pas embauchées, ce qui biaise les statistiques sur la santé au travail en les sous-estimant.

      • Temps de latence des pathologies : L'impact à court terme des conditions de travail est majoritairement étudié, alors que des pathologies comme les cancers ou maladies cardiovasculaires ont un temps de latence très long, rendant difficile la preuve d'un lien causal.
      • Incomplétude des données épidémiologiques :
      • Elles ne couvrent pas tous les problèmes de santé au travail.
      • Le choix des sujets d'étude et les méthodes d'analyse peuvent invisibiliser certains cancers professionnels, notamment chez les femmes. Les matrices emploi-exposition, majoritairement construites à partir d'emplois masculins, sont peu pertinentes pour les populations féminines, en particulier celles des milieux défavorisés (ex: agentes de nettoyage).

      3.2. Mécanismes sociaux et politiques d'invisibilisation

      • Selon Véronique Dobas Le Tourneux, la méconnaissance ne résulte pas seulement de problèmes techniques ou pathologiques, mais aussi de mécanismes sociaux et politiques qui conduisent à ne pas voir ou à masquer les risques.
      • Au niveau des travailleurs :
      • Déni face au risque : Les travailleurs peuvent nier le caractère pathogène de leur travail (ex: virilité dans le bâtiment, coiffeuses niant les dermatoses pour des raisons pratiques).
      • Pression et peur de perdre l'emploi : Les rapports de domination en entreprise et la précarité (notamment pour les intérimaires) dissuadent les salariés de signaler les risques (ex: maintenance des centrales nucléaires où les intérimaires sont exposés à des radiations élevées sans suivi médical adéquat).
      • Au niveau des entreprises :
      • Masquage des effets néfastes : Les entreprises peuvent chercher à masquer les dangers liés aux produits ou aux modes de management.
      • Système assurantiel et gestion individualisée : La loi de 1898, axée sur l'indemnisation financière, tend à individualiser le problème et à ne pas « questionner les conditions de survenu de l'événement ni par conséquent l'organisation du travail ».
      • Invisibilisation médiatique et politique : Les accidents du travail sont souvent traités comme des « faits isolés » ou des « faits divers » par la presse locale et les politiques, les privant de leur « dimension collective et de leur inscription dans des organisations du travail ».
      • Secteurs et populations concernées : Les secteurs les plus touchés (construction, agroalimentaire, intérim, transport, soin à la personne) et les populations les plus vulnérables (ouvriers, femmes employées, jeunes, intérimaires, peu qualifiés, sans-papiers) sont déjà marqués par une certaine précarité, ce qui « invite à passer sous silence aussi les blessures que ces populations subissent ». Le faible poids des syndicats dans ces secteurs est également un facteur.
      • Déclin de la médecine du travail : Le rôle des médecins du travail, acteurs centraux de la prévention, est de plus en plus réduit par les réorganisations légales et managériales.

      4. L'analyse des processus de survenue des accidents du travail (Véronique Dobas Le Tourneux)

      • Le travail de Véronique Dobas Le Tourneux met en lumière l'importance de « déconstruire un peu les processus qui conduisent à la survenue de ces événements » pour des politiques de prévention plus efficaces.
      • Baisse historique des accidents du travail : Si le nombre d'accidents a baissé depuis les années 1950 (due à l'évolution des structures d'emploi et aux améliorations de sécurité), cette baisse tend à se stabiliser depuis les années 1990.
      • Les accidents comme "événements sentinelles" : Même les accidents mineurs sont importants car ils peuvent alerter sur des situations de travail à risque et avoir des effets significatifs sur la vie quotidienne et la santé des individus.
      • La sous-déclaration administrative : Elle est due aux mécanismes de cotisation des entreprises (indexées sur le nombre d'accidents déclarés), à l'auto-culpabilisation des victimes, à la pression des collègues, et au manque de suivi des travailleurs en situation irrégulière ou précaires (intérimaires, sans-papiers).
      • Véronique Dobas Le Tourneux distingue trois types de situations d'accident :
      • Accidents bénins dans un contexte de travail préservé : Souvent dans les emplois administratifs, ces accidents sont généralement déclarés et reconnus, permettant une visibilité et la mise en place de mesures préventives.
      • Accidents relevant de risques permanents et connus : Les salariés connaissent les risques et les moyens de s'en protéger, mais les « injonctions de production » les empêchent de respecter les consignes (ex: pauses non prises). Le risque est en quelque sorte intégré par l'employeur. Ces accidents sont généralement déclarés sans difficulté.
      • Accidents dans des contextes de « mise en danger » ou de « prise de risque organisé » : C'est la situation la plus grave, touchant principalement les apprentis, jeunes peu qualifiés, nouvellement embauchés, et intérimaires. Ils ont une marge de manœuvre limitée. Les récits des salariés font état de « prises de risque forcées ».
      • Exemples : Un ouvrier déchargeant des tubes d'acier longs et lourds sans matériel adapté malgré un signalement ; une employée de restaurant glissant avec des chaussures inadaptées à cause d'une surcharge de travail et de contraintes vestimentaires.
      • Ces situations combinent « exigences productives et commerciales », « surcharge de travail » et « déstructuration des collectifs de travail ».
      • C'est dans ce type d'accident que les cas de non-déclaration sont les plus nombreux, alors que la gravité est la plus élevée.
      • Thomas Coutre est cité : « les choix en matière d'organisation du travail sont et ont toujours été produit socialement par un système de pouvoir conditionné par les rapports de forces sociaux. Et sous cet angle la notion d'efficacité économique n'est pas un concept abstrait et neutre mais résulte indissociablement du jeu conjoint des techniques de production et de domination. »
      • L'analyse de Véronique Dobas Le Tourneux souligne l'importance de s'éloigner de la perspective du « comportement individuel à risque » pour comprendre les accidents, et de se concentrer sur les « prises de risque organisées » induites par l'organisation du travail.
      • Conclusion et perspectives

      • La question des risques du travail est un phénomène complexe et multifactoriel qui requiert une approche holistique :

      • Nécessité de contextualiser : Il est fondamental de prendre en compte le contexte des conditions de travail et de l'organisation du travail, au-delà des aspects purement techniques.
      • Manque de données : Des données plus fines sont nécessaires, notamment sur les intérimaires, les dimensions de genre (bien qu'elles soient de plus en plus prises en compte) et les dimensions raciales, encore très absentes, alors que ces populations sont souvent les plus exposées.
      • Frontières du travail à redéfinir : La sociologue Maë Simonet est citée pour interroger la définition actuelle du travail, construite autour d'un sujet masculin, rémunéré, et productif. Il est crucial de penser conjointement le travail rémunéré et le « travail gratuit, visible et invisible » (domestique, associatif, soins, bénévolat), majoritairement exercé par les femmes et souvent source de risques et d'accidents non reconnus.
      • Recommandations politiques :
      • Développer des politiques de santé et sécurité au travail à la hauteur de la complexité du problème, avec des mesures préventives et réparatrices.
      • Aller au-delà du cadre actuel de reconnaissance et de réparation des accidents du travail et maladies professionnelles (loi de 1898).
      • Accroître les moyens pour la recherche (postes, financements) sur ce sujet.
      • Mettre en place des mesures législatives interdisant certains produits dangereux.
      • Renforcer le respect par les employeurs de leur devoir de protection de la santé physique et mentale des travailleurs, et le rôle de l'inspection du travail.
      • Enjeux macro-sociaux et politiques : Les causes profondes des inégalités de santé au travail résident dans les choix de société et les modèles d'organisation du travail aux niveaux français, européen et mondial.
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      Referee #2

      Evidence, reproducibility and clarity

      Enterovirus genomes contain an AUG triplet at the 3'-border of the IRES, often far upstream of the initiation codon for the principal ORF that encodes the viral polyprotein. Prior in vitro and in vivo studies have shown that this upstream AUG triplet (uAUG) initiates translation of a short polypeptide ("UP") encoded by an upstream ORF (uORF) that promotes viral infection in gut epithelial cells (Refs. 5, 6). In the present thorough and rigorously controlled study, O'Connor et al. extend these observations, thereby providing further insights into the regulatory and coding potential of translation of in alternate reading frames in viral mRNAs.

      They first undertook detailed analyses of almost 10000 enterovirus genomic sequences and determined that one third contained additional AUG triplets in the vicinity of the uAUG, collectively designated upstream uAUGs (uuAUGs), that could potentially initiate translation of uuORFs that are mostly very short but that in a few instances encode UP-related polypeptides.

      Systematic studies involving (a) ribosomal profiling and (b) the use of a dual luciferase reporter system showed that uuAUG triplets are recognized by ribosomes in infected cells and are functional albeit inefficient initiation codons. The uuAUG triplet in the enterovirus CVA-13 (Flores strain) initiates translation of an 8aa-long non-UP-like peptide, and the functional importance of this uuAUG was assayed by substituting it by a GUG triplet to downregulate uuORF translation. This mutation had no effect of infection in HeLa cells, but the uuAUG-containing (wt) virus had a competitive advantage over the mutant in mixed mutant/wt infections in terminally differentiated neuronal cells and in differentiated human intestinal organoids. This differential effect was similar to the previously reported competitive advantage conferred by UP expression during enterovirus infection in differentiated cells (Ref. 5). The function of non-UP-like proteins initiating at uuAUG codons remains unknown. However, elimination of stop codons that modify their length of uORFs modulated upstream ORF expression, although the mechanism responsible for this effect remains unknown. These results suggest that the interplay between initiation, termination and recycling steps on the 5'UTR of enteroviruses has the potential to affect viral pathogenicity.

      The data in the manuscript are strong, well controlled and validated. Elements of the manuscript could be presented more clearly.

      Minor comments

      1. Line 56. Domain 1 is a cloverleaf i.e. not just a stemloop.
      2. Fig. 4A, 5B, 8C. It would be informative to add an additional 5'-terminal nucleotide to the structure of the SL-VI region to show the Kozak context of the uuAUG codon.
      3. Figs. 8C, 8E, 8F. It might be more reader-friendly to replace structural models of sections of enterovirus 5'UTRs by a schematic representations to show uuORFs, uORFs, ppORFs etc and how altered stop codons affect their overlap. The corresponding section of the manuscript could also be presented in a more straightforward manner.
      4. Lines 473-4. This statement is incorrect, because eIF4G is required for IRES-dependent initiation. 2A-mediated cleavage of eIF4G does not abrogate IRES function because it splits off the non-essential N-terminal (eIF4E-binding) region from the critical C-terminal region that binds directly to enterovirus IRESs and recruits eIF4A (Ref. 7; PMID: 19470487).
      5. Ref. 27 is annotated incorrectly

      Significance

      The study reinforces and extends the authors' previous conclusions (Ref. 5, 13, 28, 31) that the genomes of positive-sense RNA viruses can and do have coding properties that are more complex than simply encoding a single open reading frame. Careful examination of a large panel of enterovirus genomes revealed a great diversity in coding potential, and the authors are right to suggest that further correlation of coding potential (particularly alternate ORFs/alternate reading frames) with pathogenic phenotypes is merited, particularly for variants of a single virus.

      This study also provides insights into the influence of alternative upstream open reading frames on viral fitness using strong experimental models (viral infection of differentiated cells and organoids in addition to HeLa cells), and appropriate methods (e.g. an innovative competition assay to compare the competitive advantage of co-infecting variants of a virus, sophisticated reporter assays). Although the mechanistic basis for the influence of uuORFs on enterovirus infection of cells remains to be fully elucidated, these studies indicate that the topic strongly merits further study. In consequence, this report will be of interest both to molecular virologists and to scientists with an interest in gene expression mechanisms.

    1. Author response:

      The following is the authors’ response to the previous reviews.

      Public Reviews:

      Reviewer #1 (Public Review):

      Overall, the data presented in this manuscript is of good quality. Understanding how cells control RPA loading on ssDNA is crucial to understanding DNA damage responses and genome maintenance mechanisms. The authors used genetic approaches to show that disrupting PCNA binding and SUMOylation of Srs2 can rescue the CPT sensitivity of rfa1 mutants with reduced affinity for ssDNA. In addition, the authors find that SUMOylation of Srs2 depends on binding to PCNA and the presence of Mec1.

      Comments on revisions:

      I am satisfied with the revisions made by the authors, which helped clarify some points that were confusing in the initial submission.

      Thank you.

      Reviewer #2 (Public Review):

      This revised manuscript mostly addresses previous concerns by doubling down on the model without providing additional direct evidence of interactions between Srs2 and PCNA, and that "precise sites of Srs2 actions in the genome remain to be determined." One additional Srs2 allele has been examined, showing some effect in combination with rfa1-zm2. Many of the conclusions are based on reasonable assumptions about the consequences of various mutations, but direct evidence of changes in Srs2 association with PNCA or other interactors is still missing. There is an assumption that a deletion of a Rad51-interacting domain or a PCNA-interacting domain have no pleiotropic effects, which may not be the case. How SLX4 might interact with Srs2 is unclear to me, again assuming that the SLX4 defect is "surgical" - removing only one of its many interactions.

      Previous studies have already provided direct evidence for the interaction between Srs2 and PCNA through the Srs2’s PIM region (Armstrong et al, 2012; Papouli et al, 2005); we have added these citations in the text. Similarly. Srs2 associations with SUMO and Rad51 have also been demonstrated (Colavito et al, 2009; Kolesar et al, 2016; Kolesar et al., 2012), and these studies were cited in the text.

      We did not state that a deletion of a Rad51-interacting domain or a PCNA-interacting domain have no pleiotropic effects. We only assessed whether these previously characterized mutant alleles could mimic srs2∆ in rescuing rfa1-zm2 defects.

      We assessed the genetic interaction between slx4-RIM and srs2-∆PIM mutants, and not the physical interaction between the two proteins. As we described in the text, our rationale for this genetic test is based on that the reports that both slx4 and srs2 mutants impair recovery from the Mec1 induced checkpoint, thus they may affect parallel pathways of checkpoint dampening.

      One point of concern is the use of t-tests without some sort of correction for multiple comparisons - in several figures. I'm quite sceptical about some of the p < 0.05 calls surviving a Bonferroni correction. Also in 4B, which comparison is **? Also, admittedly by eye, the changes in "active" Rad53 seem much greater than 5x. (also in Fig. 3, normalizing to a non-WT sample seems odd).

      Claims made in this work were based only on pairwise comparison not multi-comparison. We have now made this point clearer in the graphs and in Method. As the values were compared between a wild-type strain and a specific mutant strain, or between two mutants, we believe that t-test is suitable for statistical analysis.

      Figure 4B, ** indicates that the WT value is significantly different from that of the slx4-RIM srs2-∆PIM double mutant and from that of srs2-∆PIM single mutant. We have modified the graph to indicate the pair-wide comparison. The 5-fold change of active Rad53 levels was derived by comparing the values between the srs2∆ PIM slx4<sup>RIM</sup>-TAP double mutant and wild-type Slx4-TAP. In Figure 3, normalization to the lowest value affords better visualization. This is rather a stylish issue; we would like to maintain it as the other reviewers had no issues.

      What is the WT doubling time for this strain? From the FACS it seems as if in 2 h the cells have completed more than 1 complete cell cycle. Also in 5D. Seems fast...

      Wild-type W303 strain has less than 90 min doubling time as shown by many labs, and our data are consistent with this. The FACS profiles for wild-type cells shown in Figures 3C, 4C, and 5C are consistent with each other, showing that after G1 cells entered the cell cycle, they were in G2 phase at the 1-hour time points, and then a percentage of the cells exited the first cell cycle by two hours.

      I have one over-arching confusion. Srs2 was shown initially to remove Rad51 from ssDNA and the suppression of some of srs2's defects by deleting rad51 made a nice, compact story, though exactly how srs2's "suppression of rad6" fit in isn't so clear (since Rad6 ties into Rad18 and into PCNA ubiquitylation and into PCNA SUMOylation). Now Srs2 is invoked to remove RPA. It seems to me that any model needs to explain how Srs2 can be doing both. I assume that if RPA and Rad51 are both removed from the same ssDNA, the ssDNA will be "trashed" as suggested by Symington's RPA depletion experiments. So building a model that accounts for selective Srs2 action at only some ssDNA regions might be enhanced by also explaining how Rad51 fits into this scheme.

      While the anti-recombinase function of Srs2 was better studied, its “anti-RPA” role in checkpoint dampening was recently described by us (Dhingra et al, 2021) following the initial report by the Haber group some time ago (Vaze et al, 2002). A better understanding of this new role is required before we can generate a comprehensive picture of how Srs2 integrates the two functions (and possibly other functions). Our current work addresses this issue by providing a more detailed understanding of this new role of Srs2.

      Single molecular data showed that Srs2 strips both RPA and Rad51 from ssDNA, but this effect is highly dynamic (i.e. RPA and Rad51 can rebind ssDNA after being displaced) (De Tullio et al, 2017). As such, generation of “deserted” ssDNA regions lacking RPA and Rad51 in cells can be an unlikely event. Rather, Srs2 can foster RPA and Rad51 dynamics on ssDNA. Additional studies will be needed to generate a model that integrates the anti-recombinase and the anti-RPA roles of Srs2.

      As a previous reviewer has pointed out, CPT creates multiple forms of damage. Foiani showed that 4NQO would activate the Mec1/Rad53 checkpoint in G1- arrested cells, presumably because there would be singlestrand gaps but no DSBs. Whether this would be a way to look specifically at one type of damage is worth considering; but UV might be a simpler way to look. As also noted, the effects on the checkpoint and on viability are quite modest. Because it isn't clear (at least to me) why rfa1 mutants are so sensitive to CPT, it's hard for me to understand how srs2-zm2 has a modest suppressive effect: is it by changing the checkpoint response or facilitating repair or both? Or how srs2-3KR or srs2-dPIM differ from rfa1-zm2 in this respect. The authors seem to lump all these small suppressions under the rubric of "proper levels of RPA-ssDNA" but there are no assays that directly get at this. This is the biggest limitation.

      CPT treatment is an ideal condition to examine how cells dampen the DNA damage checkpoint, because while most genotoxic conditions (e.g. 4NQO, MMS) induce both the DNA replication checkpoint and the DNA damage checkpoint, CPT was shown to only induced the latter (Menin et al, 2018; Minca & Kowalski, 2011; Redon et al, 2003; Tercero et al, 2003). Future studies examining 4NQO and UV conditions can further expand our understanding of checkpoint dampening in different conditions.

      We have previously provided evidence to support the conclusion that srs2 suppression of rfa1-zm is partly mediated by changing checkpoint levels (Dhingra et al., 2021). We cannot exclude the possibility that the suppression may also be related to changes of DNA repair; we have now added this note in the text.

      Regarding direct testing RPA levels on DNA, we have previously shown that srs2∆ increased the levels of chromatin associated Rfa1 and this is suppressed by rfa1-zm2 (Dhingra et al., 2021). We have now included chromatin fractionation data to show that srs2-∆PIM also led to an increase of Rfa1 on chromatin, and this was suppressed by rfa1-zm2 (new Fig. S2).

      Srs2 has also been implicated as a helicase in dissolving "toxic joint molecules" (Elango et al. 2017). Whether this activity is changed by any of the mutants (or by mutations in Rfa1) is unclear. In their paper, Elango writes: "Rare survivors in the absence of Srs2 rely on structure-specific endonucleases, Mus81 and Yen1, that resolve toxic joint-molecules" Given the involvement of SLX4, perhaps the authors should examine the roles of structure-specific nucleases in CPT survival?

      Srs2 has several roles, and its role in RPA antagonism can be genetically separated from its role in Rad51 regulation as we have shown in our previous work (Dhingra et al., 2021) and this notion is further supported by evidence presented in the current work. Srs2’s role in dissolving "toxic joint molecules” was mainly observed during BIR (Elango et al, 2017). Whether it is related to checkpoint dampening will be interesting to address in the future but is beyond of the scope of the current work that seeks to answer the question how Srs2 regulates RPA during checkpoint dampening. Similarly, determining the roles of Mus81 and Yen1 and other structural nucleases in CPT survival is a worthwhile task but it is a research topic well separated from the focus of this work.

      Experiments that might clarify some of these ambiguities are proposed to be done in the future. For now, we have a number of very interesting interactions that may be understood in terms of a model that supposes discriminating among gaps and ssDNA extensions by the presence of PCNA, perhaps modified by SUMO. As noted above, it would be useful to think about the relation to Rad6.

      Several studies have shown that Srs2’s functional interaction with Rad6 is based on Srs2-mediated recombination regulation (reviewed by (Niu & Klein, 2017). Given that recombinational regulation by Srs2 is genetically separable from the Srs2 and RPA antagonism (Dhingra et al., 2021), we do not see a strong rationale to examine Rad6 in this work, which addresses how Srs2 regulates RPA. With this said, this study has provided basis for future studies of possible cross-talks among different Srs2-mediated pathways.

      Reviewer #3 (Public Review):

      The superfamily I 3'-5' DNA helicase Srs2 is well known for its role as an anti-recombinase, stripping Rad51 from ssDNA, as well as an anti-crossover factor, dissociating extended D-loops and favoring non-crossover outcome during recombination. In addition, Srs2 plays a key role in in ribonucleotide excision repair. Besides DNA repair defects, srs2 mutants also show a reduced recovery after DNA damage that is related to its role in downregulating the DNA damage signaling or checkpoint response. Recent work from the Zhao laboratory (PMID: 33602817) identified a role of Srs2 in downregulating the DNA damage signaling response by removing RPA from ssDNA. This manuscript reports further mechanistic insights into the signaling downregulation function of Srs2.

      Using the genetic interaction with mutations in RPA1, mainly rfa1-zm2, the authors test a panel of mutations in Srs2 that affect CDK sites (srs2-7AV), potential Mec1 sites (srs2-2SA), known sumoylation sites (srs2-3KR), Rad51 binding (delta 875-902), PCNA interaction (delta 1159-1163), and SUMO interaction (srs2SIMmut). All mutants were generated by genomic replacement and the expression level of the mutant proteins was found to be unchanged. This alleviates some concern about the use of deletion mutants compared to point mutations. Double mutant analysis identified that PCNA interaction and SUMO sites were required for the Srs2 checkpoint dampening function, at least in the context of the rfa1-zm2 mutant. There was no effect of this mutants in a RFA1 wild type background. This latter result is likely explained by the activity of the parallel pathway of checkpoint dampening mediated by Slx4, and genetic data with an Slx4 point mutation affecting Rtt107 interaction and checkpoint downregulation support this notion. Further analysis of Srs2 sumoylation showed that Srs2 sumoylation depended on PCNA interaction, suggesting sequential events of Srs2 recruitment by PCNA and subsequent sumoylation. Kinetic analysis showed that sumoylation peaks after maximal Mec1 induction by DNA damage (using the Top1 poison camptothecin (CPT)) and depended on Mec1. This data are consistent with a model that Mec1 hyperactivation is ultimately leading to signaling downregulation by Srs2 through Srs2 sumoylation. Mec1-S1964 phosphorylation, a marker for Mec1 hyperactivation and a site found to be needed for checkpoint downregulation after DSB induction, did not appear to be involved in checkpoint downregulation after CPT damage. The data are in support of the model that Mec1 hyperactivation when targeted to RPA-covered ssDNA by its Ddc2 (human ATRIP) targeting factor, favors Srs2 sumoylation after Srs2 recruitment to PCNA to disrupt the RPA-Ddc2-Mec1 signaling complex. Presumably, this allows gap filling and disappearance of long-lived ssDNA as the initiator of checkpoint signaling, although the study does not extend to this step.

      Strengths:

      (1) The manuscript focuses on the novel function of Srs2 to downregulate the DNA damage signaling response and provide new mechanistic insights.

      (2) The conclusions that PCNA interaction and ensuing Srs2-sumoylation are involved in checkpoint downregulation are well supported by the data.

      Weaknesses:

      (1) Additional mutants of interest could have been tested, such as the recently reported Pin mutant, srs2-Y775A (PMID: 38065943), and the Rad51 interaction point mutant, srs2-F891A (PMID: 31142613).

      (2) The use of deletion mutants for PCNA and RAD51 interaction is inferior to using specific point mutants, as done for the SUMO interaction and the sites for post-translational modifications.

      (3) Figure 4D and Figure 5A report data with standard deviations, which is unusual for n=2. Maybe the individual data points could be plotted with a color for each independent experiment to allow the reader to evaluate the reproducibility of the results.

      Comments on revisions:

      In this revision, the authors adequately addressed my concerns. The only issue I see remaining is the site of Srs2 action. The authors argue in favor of gaps and against R-loops and ssDNA resulting from excessive supercoiling. The authors do not discuss ssDNA resulting from processing of onesided DSBs, which are expected to result from replication run-off after CPT damage but are not expected to provide the 3'-junction for preferred PCNA loading. Can the authors exclude PCNA at the 5'-junction at a resected DSB?

      We have now added a sentence stating that we cannot exclude the possibility that PCNA may be positioned at a 5’-junction, as this can be observed in vitro, albert that PCNA loading was seen exclusively at a 3’-junction in the presence of RPA (Ellison & Stillman, 2003; Majka et al, 2006).

      Recommendations For the authors:

      Reviewer #2 (Recommendations For the authors):

      A Bonferroni correction should be made for the multiple comparisons in several figures.

      Specific comments:

      l. 41. This is a too long and confusing sentence.

      Sentence shortened: “These data suggest that Srs2 recruitment to PCNA proximal ssDNA-RPA filaments followed by its sumoylation can promote checkpoint recovery, whereas Srs2 action is minimized at regions with no proximal PCNA to permit RPA-mediated ssDNA protection”.

      l. 60. Identify Ddc2 and Mec1 as ATRIP and ATR.

      Done.

      l. 125 "fails to downregulate RPA levels on chromatin and Mec1-mediated DDC..." fails to downregulate RPA and fails to reduce Mec1-mediated DDC?

      Sentence modified: “fails to downregulate both the RPA levels on chromatin and the Mec1-mediated DDC”

      l. 204 "consistent with the notion that Srs2 has roles beyond RPA regulation"... What other roles? It's stripping of Rad51? Removing toxic joint molecules? Something else?

      Sentence modified: “consistent with the notion that Srs2 has roles beyond RPA regulation, such as in Rad51 regulation and removing DNA joint molecules”.

      l. 249 "Significantly, srs2-ΔPIM and -3KR increased the percentage of rfa1-zm2 cells transitioning into the G1 phase" No. Just back to normal. As stated in l. 258: "258 We found that srs2-ΔPIM and srs2-3KR mutants on their own behaved normally in the two DDC assays described above." All of these effects are quite small.

      Sentence modified: “Compared with rfa1-zm2 cells, srs2-∆PIM rfa1-zm2 and srs2-3KR rfa1-zm2 cells showed increased percentages of cells transitioning into the G1 phase”.

      l. 468 "Our previous work has provided several lines of evidence to support that Rad51 removal by Srs2 is separable from the Srs2-RPA antagonism (Dhingra et al., 2021). What evidence? See my comment above about not having both proteins removed at the same time.

      We have addressed this point in our initial rebuttal and some key points are summarized below. In our previous report (Dhingra et al., 2021), we provided several lines of evidence to support the conclusion that Rad51 is not relevant to the Srs2-RPA antagonism. For example, while rad51∆ rescues the hyper-recombination phenotype of srs2∆ cells, rad51∆ did not affect the hyper-checkpoint phenotype of srs2∆. In contrast, rfa1-zm1/zm2 have the opposite effects, that is, rfa1zm1/zm2 suppressed the hyper-checkpoint, but not the hyper-recombination, phenotype of srs2∆ cells. The differential effects of rad51∆ and rfa1-zm1/zm2 were also seen for the ATPase dead allele of Srs2 (srs2K41A). For example, rfa1-zm2 rescued hyper-checkpoint and CPT sensitivity of srs2-K41A cells, while rad51∆ had neither effect. These and other data described by Dhingra et al (2021) suggest that Srs2’s effects on checkpoint vs. recombination can be separated genetically. Consistent with our conclusion summarized above, deleting the Rad51 binding domain in Srs2 (srs2-∆Rad51BD) has no effect on rfa1-zm2 phenotype in CPT (Fig. 2D). This data provides yet another evidence that Srs2 regulation of Rad51 is separable from the Srs2RPA antagonism.

      l. 525 "possibility, we tested the separation pin of Srs2 (Y775), which was shown to enables its in vitro helicase activity during the revision of our work..." ?? there was helicase activity during the revision of your work? Please fix the sentence.

      Sentence modified: “we tested the separation pin of Srs2 (Y775). This residue was shown to be key for the Srs2’s helicase activity in vitro in a report that was published during the revision of our work (Meir et al, 2023).”

      Fig. 3. "srs2-ΔPIM and -3KR allow better G1 entry of rfa1-zm2 cells." is it better entry or less arrest at G2/M? One implies better turning off of a checkpoint, the other suggests less activation of the checkpoint.

      This is a correct statement. For all strains examined in Figure 3, cells were seen in G2/M phase after 1-hour CPT treatment, suggesting proper arrest.

      References:

      Armstrong AA, Mohideen F, Lima CD (2012) Recognition of SUMO-modified PCNA requires tandem receptor motifs in Srs2. Nature 483: 59-63

      Colavito S, Macris-Kiss M, Seong C, Gleeson O, Greene EC, Klein HL, Krejci L, Sung P (2009) Functional significance of the Rad51-Srs2 complex in Rad51 presynaptic filament disruption. Nucleic Acids Res 37: 6754-6764.

      De Tullio L, Kaniecki K, Kwon Y, Crickard JB, Sung P, Greene EC (2017) Yeast Srs2 helicase promotes redistribution of single-stranded DNA-bound RPA and Rad52 in homologous recombination regulation. Cell Rep 21: 570-577

      Dhingra N, Kuppa S, Wei L, Pokhrel N, Baburyan S, Meng X, Antony E, Zhao X (2021) The Srs2 helicase dampens DNA damage checkpoint by recycling RPA from chromatin. Proc Natl Acad Sci U S A 118: e2020185118

      Elango R, Sheng Z, Jackson J, DeCata J, Ibrahim Y, Pham NT, Liang DH, Sakofsky CJ, Vindigni A, Lobachev KS et al (2017) Break-induced replication promotes formation of lethal joint molecules dissolved by Srs2. Nat Commun 8: 1790

      Ellison V, Stillman B (2003) Biochemical characterization of DNA damage checkpoint complexes: clamp loader and clamp complexes with specificity for 5' recessed DNA. PLoS Biol 1: E33

      Kolesar P, Altmannova V, Silva S, Lisby M, Krejci L (2016) Pro-recombination Role of Srs2 Protein Requires SUMO (Small Ubiquitin-like Modifier) but Is Independent of PCNA (Proliferating Cell Nuclear Antigen) Interaction. J Biol Chem 291: 7594-7607.

      Kolesar P, Sarangi P, Altmannova V, Zhao X, Krejci L (2012) Dual roles of the SUMO-interacting motif in the regulation of Srs2 sumoylation. Nucleic Acids Res 40: 7831-7843.

      Majka J, Binz SK, Wold MS, Burgers PM (2006) Replication protein A directs loading of the DNA damage checkpoint clamp to 5'-DNA junctions. J Biol Chem 281: 27855-27861

      Meir A, Raina VB, Rivera CE, Marie L, Symington LS, Greene EC (2023) The separation pin distinguishes the pro- and anti-recombinogenic functions of Saccharomyces cerevisiae Srs2. Nat Commun 14: 8144

      Menin L, Ursich S, Trovesi C, Zellweger R, Lopes M, Longhese MP, Clerici M (2018) Tel1/ATM prevents degradation of replication forks that reverse after Topoisomerase poisoning. EMBO Rep 19: e45535

      Minca EC, Kowalski D (2011) Replication fork stalling by bulky DNA damage: localization at active origins and checkpoint modulation. Nucleic Acids Res 39: 2610-2623

      Niu H, Klein HL (2017) Multifunctional roles of Saccharomyces cerevisiae Srs2 protein in replication, recombination and repair. FEMS Yeast Res 17: fow111

      Papouli E, Chen S, Davies AA, Huttner D, Krejci L, Sung P, Ulrich HD (2005) Crosstalk between SUMO and ubiquitin on PCNA is mediated by recruitment of the helicase Srs2p. Mol Cell 19: 123-133

      Redon C, Pilch DR, Rogakou EP, Orr AH, Lowndes NF, Bonner WM (2003) Yeast histone 2A serine 129 is essential for the efficient repair of checkpoint-blind DNA damage. EMBO Rep 4: 678-684

      Tercero JA, Longhese MP, Diffley JFX (2003) A central role for DNA replication forks in checkpoint activation and response. Mol Cell 11: 1323-1336

      Vaze MB, Pellicioli A, Lee SE, Ira G, Liberi G, Arbel-Eden A, Foiani M, Haber JE (2002) Recovery from checkpointmediated arrest after repair of a double-strand break requires Srs2 helicase. Mol Cell 10: 373-385

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      I In this manuscript, Jiao D et al reported the induction of synthetic lethal by combined inhibition of anti-apoptotic BCL-2 family proteins and WSB2, a substrate receptor in CRL5 ubiquitin ligase complex. Mechanistically, WSB2 interacts with NOXA to promote its ubiquitylation and degradation. Cancer cells deficient in WSB2, as well as heart and liver tissues from Wsb2-/- mice exhibit high susceptibility to apoptosis induced by inhibitors of BCL-2 family proteins. The anti-apoptotic activity of WSB2 is partially dependent on NOXA.

      Overall, the finding, that WSB2 disruption triggers synthetic lethality to BCL-2 family protein inhibitors by destabilizing NOXA, is rather novel. The manuscript is largely hypothesis-driven, with experiments that are adequately designed and executed. However, there are quite a few issues for the authors to address, including those listed below.

      Specific comments:

      (1) At the beginning of the Results section, a clear statement is needed as to why the authors are interested in WSB2 and what brought them to analyze "the genetic co-dependency between WSB2 and other proteins".

      We thank the reviewer for raising this important point. We agree that a clear rationale should be provided at the beginning of the Results section. As reported in previous studies [Ref: 1, 2, 3], strong synthetic interactions have been observed between WSB2 and several mitochondrial apoptosis-related factors, including MCL-1, BCL-xL, and MARCH5. We have referenced these findings in the Discussion section. Motivated by these studies, we became interested in the role of WSB2 and aimed to investigate the specific mechanisms underlying its synthetic lethality with anti-apoptotic BCL-2 family members. We will revise the beginning of the Results section to clearly state this rationale.

      (1) McDonald, E.R., 3rd et al. Project DRIVE: A Compendium of Cancer Dependencies and Synthetic Lethal Relationships Uncovered by Large-Scale, Deep RNAi Screening. Cell 170, 577-592 e510 (2017).

      (2) DeWeirdt, P.C. et al. Genetic screens in isogenic mammalian cell lines without single cell cloning. Nat Commun 11, 752 (2020).

      (3) DeWeirdt, P.C. et al. Optimization of AsCas12a for combinatorial genetic screens in human cells. Nat Biotechnol 39, 94-104 (2021).

      (2) In general, the biochemical evidence supporting the role of WSB2 as a SOCS box-containing substrate-binding receptor of CRL5 E3 in promoting NOXA ubiquitylation and degradation is relatively weak. First, since NOXA binds to WSB2 on its SOCS box, which consists of a BC box for Elongin B/C binding and a CUL5 box for CUL5 binding, it is crucial to determine whether the binding of NOXA on the SOCS box affects the formation of CRL5WSB2 complex. The authors should demonstrate the endogenous binding between NOXA and the CRL5WSB2 complex. Additionally, the authors may also consider manipulating CUL5, SAG, or ElonginB/C to assess if it would affect NOXA protein turnover in two independent cell lines.

      We thank the reviewer for raising this important point. To determine whether endogenous NOXA binds to the intact CRL5<sup>WSB2</sup> complex, we performed co-immunoprecipitation assays using an antibody against NOXA. Indeed, NOXA co-immunoprecipitated with all subunits of the CRL5<sup>WSB2</sup> complex (Figure 2—figure supplement 1D), suggesting that NOXA binding to WSB2 does not disrupt interactions between WSB2 and the other CRL5 subunits. Moreover, depletion of CRL5 complex components (RBX2/SAG, CUL5, ELOB, or ELOC) through siRNAs in C4-2B or Huh-7 cells also resulted in a marked increase in NOXA protein levels.

      Second, in all the experiments designed to detect NOXA ubiquitylation in cells, the authors utilized immunoprecipitation (IP) with FLAG-NOXA/NOXA, followed by immunoblotting (IB) with HA-Ub. However, it is possible that the observed poly-Ub bands could be partly attributed to the ubiquitylation of other NOXA binding proteins. Therefore, the authors need to consider performing IP with HA-Ub and subsequently IB with NOXA. Alternatively, they could use Ni-beads to pull down all His-Ub-tagged proteins under denaturing conditions, followed by the detection of FLAG-tagged NOXA using anti-FLAG Ab. The authors are encouraged to perform one of these suggested experiments to exclude the possibility of this concern. Furthermore, an in vitro ubiquitylation assay is crucial to conclusively demonstrate that the polyubiquitylation of NOXA is indeed mediated by the CRL5WSB2 complex.

      We appreciate the reviewer for raising these important considerations regarding our ubiquitylation assays. We fully acknowledge the reviewer's concern that classical ubiquitination assays could potentially detect ubiquitination of proteins interacting with NOXA. However, we would like to clarify that our experimental conditions effectively mitigate this issue. Specifically, cells were lysed using buffer containing 1% SDS followed by boiling at 105°C for 5 minutes. These rigorous denaturing conditions ensure disruption of non-covalent protein interactions, thereby effectively eliminating the possibility of detecting ubiquitination signals from NOXA-associated proteins.

      Regarding the suggestion to perform an in vitro ubiquitination assay, we agree this experiment would indeed provide additional evidence. However, due to significant technical complexities associated with reconstituting CRL5-based E3 ubiquitin ligase activity in vitro—which would require the expression and purification of at least six recombinant proteins—such experiments are rarely performed in this context. Furthermore, NOXA is uniquely localized as a membrane protein on the mitochondrial outer membrane, posing additional significant challenges for protein expression and purification. Given the robustness of our current in vivo ubiquitylation assay under stringent denaturing conditions, we believe our existing data sufficiently and conclusively demonstrate NOXA ubiquitination mediated by the CRL5<sup>WSB2</sup> complex.

      (3) In their attempt to map the binding regions between NOXA and WSB2, the authors utilized exogenous proteins of both WSB2 and NOXA. To strengthen their findings, it would be more convincing to perform IP with exogenous wt/mutant WSB2 or NOXA and subsequently perform IB to detect endogenous NOXA or WSB2, respectively. Additionally, an in vitro binding assay using purified proteins would provide further evidence of a direct binding between NOXA and WSB2.

      We thank the reviewer for raising these important issues. In response to the reviewer’s suggestion to map the binding regions between NOXA and WSB2 more convincingly, we have indeed performed semi-endogenous Co-IP assays, which yielded results consistent with our exogenous protein experiments (Figure 3—figure supplement 1A, B). Concerning the recommendation to further validate direct interaction using purified recombinant proteins, we encountered substantial technical difficulties in obtaining pure and soluble recombinant WSB2 protein. Additionally, given that NOXA is an outer mitochondrial membrane protein and the interaction occurs on mitochondria, we believe that an in vitro binding assay may have limited physiological relevance. We hope the reviewer can appreciate these practical challenges and our current evidence supporting the strong interaction between NOXA and WSB2.

      Reviewer #2 (Public Review):

      Summary:

      Exploring the DEP-MAP database and two drug-screen databases, the authors identify WSB2 as an interactor of several BCL2 proteins. In follow-up experiments, they show that CRL5/WSB2 controls NOXA protein levels via K48 ubiquitination following direct protein-protein interaction, and cell death sensitivity in the context of BH3 mimetic treatment, where WSB2 depletion synergizes with drug treatment.

      Strengths:

      The authors use a set of orthogonal methods across different model cell lines and a new WSB2 KO mouse model to confirm their findings. They also manage to correlate WSB2 expression with poor prognosis in prostate and liver cancer, supporting the idea that targeting WSB2 may sensitize cancers for treatment with BH3 mimetics.

      Weaknesses:

      The conclusions drawn based on the findings in cancer patients are very speculative, as regulation of NOXA cannot be the sole function of CRL5/WSB2 and it is hence unclear what causes correlation with patient survival. Moreover, the authors do not provide a clear mechanistic explanation of how exactly higher levels of NOXA promote apoptosis in the absence of WSB2. This would be important knowledge, as usually high NOXA levels correlate with high MCL1, as they are turned over together, but in situations like this, or loss of other E3 ligases, such as MARCH, the buffering capacity of MCL1 is outrun, allowing excess NOXA to kill (likely by neutralizing other BCL2 proteins it usually does not bind to, such as BCLX). Moreover, a necroptosis-inducing role of NOXA has been postulated. Neither of these options is interrogated here.

      Recommendations For The Authors:

      Reviewer #1 (Recommendations For The Authors):

      (1) Figure 2J. The authors showed that "the mRNA levels of NOXA were even reduced in WSB2-KO cells compared to parental cells". What is the possible mechanism? This point should at least be discussed.

      We thank the reviewer for raising these important issues. The underlying mechanisms for the significantly lower mRNA levels of NOXA following the KO of WSB2 are not fully understood at present. However, we propose that this could represent a form of negative feedback regulation at the level of gene expression. Specifically, when the protein levels of BNIP3/3L rise sharply, it may activate mechanisms that suppress their own mRNA synthesis or stability, serving as a buffering system to prevent further protein accumulation. Such negative feedback loops may be critical for maintaining cellular homeostasis and avoiding excessive protein production. Moreover, this phenomenon is frequently observed in other studies investigating substrates targeted by E3 ubiquitin ligases for degradation. We have elaborated on this point in the Discussion section.

      (2) Figure 2M. A previous study has clearly demonstrated that NOXA is subjected to ubiquitylation and degradation by CRL5 E3 ligase (PMID: 27591266). This paper should be cited. Also, in that publication, NOXA ubiquitylation is via the K11 linkage, not the K48 linkage. The authors should include K11R mutant in their assay.

      We thank the reviewer for raising this important issue. We thank the reviewer for suggesting the relevant reference (PMID: 27591266), which we have now cited accordingly. Additionally, we would like to clarify that our new in vivo ubiquitination assays included the K11R and K11-only ubiquitin mutants, and our data demonstrate that WSB2-mediated NOXA ubiquitination indeed involves the K11 linkage ubiquitination(Figure 2—figure supplement 1E).

      (3) Figure 3H, J. The authors stated, "By mutating these lysine residues to arginine, we found that WSB2-mediated NOXA ubiquitination was completely abolished". Which one of the three lysine residues is playing the dominant role?

      We thank the reviewer for raising this important issue. To address this, we generated FLAG-NOXA mutants individually substituting lysine residues K35, K41, and K48 with arginine. In vivo ubiquitination assays demonstrated that lysine 48 (K48) is the predominant residue responsible for WSB2-mediated NOXA ubiquitination (Figure 3—figure supplement 1C).

      (4) Figure 3N. The authors need to show that the fusion peptide containing C-terminal NOXA peptide competitively inhibits the interaction between endogenous WSB2 and NOXA and extends the protein half-life of NOXA, leading to NOXA accumulation.

      We sincerely thank the reviewer for raising these important issues. As suggested, we investigated whether the fusion peptide containing the C-terminal NOXA sequence competitively disrupts the interaction between endogenous WSB2 and NOXA, subsequently influencing NOXA stability. Our results demonstrated that treatment with this fusion peptide indeed significantly reduced the endogenous interaction between WSB2 and NOXA (Figure 3—figure supplement 1D). Furthermore, we observed that the peptide dose-dependently increased endogenous NOXA protein levels and prolonged its protein half-life, thereby resulting in the accumulation of NOXA (Figure 3N; Figure 3—figure supplement 1E, F). These findings collectively indicate that the fusion peptide competitively inhibits the WSB2-NOXA interaction, stabilizes NOXA protein, and enhances its accumulation.

      (5) Figure 4. a) It would be better to investigate whether WSB2 knockdown can sensitize cancer cells to the treatment with ABT-737 or AZD5991, evidenced by a decrease in both IC50 values and clonogenic survival rates and whether such sensitization is dependent on NOXA. b) The authors need to show the levels of cleaved caspase-3/7/9 and the percentages of apoptotic cells in shNC cells upon silencing of WSB2 in Figure 4A-F. c) It will be more convincing to repeat the experiment to show synthetic lethality by WSB2 disruption and MCL-1 inhibitor AZD5991 treatment using another cell line, such as WSB2-deficient Huh-7 cells in Figure 4 I&J.

      We sincerely thank the reviewer for these valuable and constructive suggestions. Regarding point (a): We believe that our current Western blot and flow cytometry data (Figure 4G–L) have already provided strong evidence that WSB2 depletion enhances apoptosis in response to ABT-737 and AZD5991. Therefore, we consider that additional IC50 and clonogenic survival assays, while informative, may not be essential for supporting our conclusion. Furthermore, as shown in Figure 5A–F, we found that silencing NOXA largely, though not completely, reversed the enhanced apoptosis triggered by these inhibitors in WSB2-deficient cells, suggesting that the sensitization effect is at least partially dependent on NOXA.

      Regarding point (b): We have shown that WSB2 knockout alone had no impact on the levels of cleaved caspase-3/7/9 or the percentages of apoptotic cells in Huh-7 and C4-2B cells (Figure 4G-L and Figure 4—figure supplement 1A-D), indicating that WSB2 loss does not induce apoptosis on its own under basal conditions.

      Regarding point (c): We appreciate the reviewer’s suggestion and have now repeated the experiment in WSB2 knockout Huh-7 cells. The new results further support the synthetic lethality between WSB2 loss and AZD5991 treatment (Figure 4—figure supplement 1C, D).

      (6) Figure 5A/C/E. The effect of siNOXA is minor, if any, for cleavage of caspases. The same thing for Figure 6F/H.

      We appreciate the reviewer’s insightful observation regarding the relatively modest effect of shNOXA on caspase cleavage in Figures 5A/C/E and Figures 6F/H. Indeed, we acknowledge that the reduction in caspase cleavage following NOXA knockdown is moderate. However, consistent with our discussions in the manuscript, NOXA knockdown significantly—but not completely—rescued the increased apoptosis observed in WSB2-deficient cells treated with BCL-2 family inhibitors. This suggests that while NOXA plays a notable role, additional mechanisms or unidentified targets may also be involved in WSB2-mediated regulation of apoptosis.

      (7) Figure 5 I&J. The authors may consider performing IHC staining, immunofluorescence, or WB analysis to show the levels of NOXA and cleaved caspases or PARP in xenograft tumors. This would provide in vivo evidence of significant apoptosis induction resulting from the co-administration of ABT-737 and R8-C-terminal NOXA peptide.

      We appreciate the reviewer's thoughtful suggestion regarding additional immunohistochemical or immunofluorescence analyses in xenograft tumors. However, due to current limitations in available antibodies suitable for reliable detection of NOXA by IHC and IF, we are unable to perform these experiments. We greatly appreciate the reviewer's understanding of this technical constraint. Nevertheless, our existing data collectively supports the conclusion that the combination of ABT-737 and R8-C-terminal NOXA peptide significantly enhances apoptosis in vivo.

      (8) Figure 7. Does an inverse correlation exist between the protein levels of WSB2 and NOXA in RPAD or LIHC tissue microarrays? On page 12, in the first paragraph, Figure 7M-P was cited incorrectly.

      We sincerely thank the reviewer for raising this important issue. As mentioned above, due to current limitations regarding the availability of suitable antibodies that can reliably detect NOXA by IHC, we regret that it is not feasible to experimentally address this question at this time.

      Additionally, we have carefully corrected the citation error involving Figure 7M-P on page 12, as pointed out by the reviewer.

      (9) Figure S1D. BCL-W levels were reduced upon WSB2 overexpression, which should be acknowledged.

      We sincerely thank the reviewer for raising this important issue. We acknowledge that BCL-W protein levels were slightly reduced upon WSB2 overexpression in Figure S1D. However, this effect is distinct from the pronounced reduction observed in NOXA protein levels. We have revised the manuscript to clarify this point. Additionally, we recognize that transient overexpression systems may occasionally lead to non-specific or artifactual changes. Our exogenous expression and co-immunoprecipitation experiments did not support an interaction between BCL-W and WSB2. Therefore, the observed reduction of BCL-W under these conditions may not reflect a physiologically relevant regulation.

      (10) Figure S4. Given WSB2 KO mice are viable; the authors may consider determining whether these mice are more sensitive to radiation-induced tissue damage or but more resistant to radiation-induced tumorigenesis?

      We sincerely thank the reviewer for this insightful and biologically meaningful suggestion. We agree that investigating the potential role of WSB2 in radiation-induced tissue damage and tumorigenesis would be of great interest. However, conducting such experiments requires access to specialized irradiation facilities, which are currently unavailable to us. Nevertheless, we recognize the value of this line of investigation and plan to explore it in our future studies.

      (11) All data were displayed as mean{plus minus}SD. However, for data from three independent experiments, it is more appropriate to present the results as mean{plus minus}SEM, not mean{plus minus}SD.

      We sincerely thank the reviewer for highlighting this important issue. In line with the reviewer's suggestion, we have revised the manuscript accordingly and now present data from three independent experiments as mean ± SEM.

      (12) The figure legends require careful review: i) The low dose of ABT-199 (Figure 6H) and the dose of ABT-199 used in Figure 6I are missing. ii) The legends for Figure S1D-E are incorrect. iii) The name of the antibody in the legend of Figure S3C is incorrect.

      We sincerely thank the reviewer for raising these important issues. We have carefully corrected all the errors mentioned. In addition, we have thoroughly reviewed the manuscript to prevent similar errors.

      Reviewer #2 (Recommendations For The Authors):

      The authors focus on NOXA, after initially identifying WSB2 to interact with several BCL2 proteins. The rationale behind this is that WSB2 depletion or overexpression affects NOXA levels, but none of the other BCL2 proteins tested, as stated in the text. Yet, BCLW is also depleted upon overexpression of WSB2 (Supplementary Figure 1). How does this phenomenon relate to the sensitization noted, is BCL-W higher in WSB2 KO cells? It does not seem so though. This warrants discussion.

      We appreciate the reviewer for raising this important issue. Our results showed that overexpression of WSB2 markedly reduced NOXA levels, while the levels of other BCL-2 family proteins remained unaffected or minimally affected, such as BCL-W (Figure 2—figure supplement 1A). Furthermore, depletion of WSB2 through shRNA-mediated KD or CRISPR/Cas9-mediated KO in C4-2B cells or Huh-7 cells led to a marked increase in the steady-state levels of endogenous NOXA, without affecting other BCL-2 family proteins examined, included BCL-W (Figure 2A-C, Figure 2—figure supplement 2A, B).

      If WSB2 depletion does not affect MCL1 levels, how does excess NOXA actually kill? Does it bind to any (other) prosurvival proteins under conditions of WSB2 depletion? Is the MCL1 half-life changed?

      We appreciate the reviewer for raising this important point. NOXA is a BH3-only protein known to promote apoptosis primarily by binding to and neutralizing anti-apoptotic BCL-2 family members, especially MCL-1, via its BH3 domain. It can inhibit MCL-1 either through competitive binding or by facilitating its ubiquitination and subsequent proteasomal degradation. In our system, the total protein levels of MCL-1 remained unchanged in WSB2 knockout cells, suggesting that NOXA may not be promoting apoptosis through enhanced MCL-1 degradation. Instead, we speculate that the accumulation of NOXA in WSB2-deficient cells enhances apoptosis by sequestering MCL-1 through direct binding, thereby freeing pro-apoptotic effectors such as BAK and BAX. In line with our observations, Nakao et al. reported that deletion of the mitochondrial E3 ligase MARCH5 led to a pronounced increase in NOXA expression, while leaving MCL-1 protein levels unchanged in leukemia cell lines (Leukemia. 2023 ;37:1028-1038., PMID: 36973350).

      Additionally, NOXA has been reported to interact with other anti-apoptotic proteins, including BCL-XL. It is therefore possible that under conditions of WSB2 depletion, excess NOXA may also bind to BCL-XL and relieve its inhibition of BAX/BAK, further contributing to apoptosis. Future experiments assessing NOXA binding partners in WSB2-deficient cells would help clarify this mechanism.

      I think some initial insights into the mechanism underlying the sensitization would add a lot to this study. Is there a role of BFL1/A1 in any of these cell lines, as it can also rather selectively bind to NOXA and is sometimes deregulated in cancer?

      We appreciate the reviewer for raising this important issue. While BFL1/A1 is indeed another anti-apoptotic BCL-2 family member that can selectively bind to NOXA and has been implicated in cancer, our study primarily focuses on the WSB2-NOXA axis. However, given its potential involvement in apoptosis regulation, it would be an interesting direction for future studies to explore whether BFL1/A1 contributes to NOXA-mediated sensitization in specific cellular contexts.

      Otherwise, this is a very nice and convincing study.

    1. • Wear removable dentures or device as little as possible• Don’t smoke• Don’t drink alcohol• Use topical antibiotics• Use pain killers as required• Surgery to remove dead bone or rebuild bone of mouth and jaw.
      1. Wear removable dentures or device as little as possible Çıkarılabilir protez veya cihazı mümkün olduğunca az kullanın

      2. Don’t smoke Sigara içmeyin

      3. Don’t drink alcohol Alkol kullanmayın

      4. Use topical antibiotics Topikal (yerel) antibiyotik kullanın

      5. Use pain killers as required Gerekirse ağrı kesici kullanın

      6. Surgery to remove dead bone or rebuild bone of mouth and jaw Ağız ve çene kemiğindeki ölü kemiği çıkarmak veya kemiği yeniden inşa etmek için cerrahi müdahale

    2. Manage xerostomia• Prevent and minimize trismus• Prevent and treat dental caries• Prevent post radiation osteonecrosis• Detect tumor recurrence

      . Manage xerostomia Kuruluğu yönetmek

      1. Prevent and minimize trismus Trizmusu önlemek ve azaltmak

      2. Prevent and treat dental caries Diş çürüklerini önlemek ve tedavi etmek

      3. Prevent post radiation osteonecrosis Radyasyon sonrası osteonekrozu önlemek

      4. Detect tumor recurrence Tümörün tekrarlamasını tespit etmek

    3. Common sites of oral cavity mucositis including the buccal, labial, and soft palate mucosaalong with ventral surface of langue, floor of the mouth. If the pharynx is involved, the individualmay have a sore throat and difficulties in swallowing and talking. Esophagitis is caused bydamage to the mucosal lining and usually presents as dysphagia, mucosites can cause severepain and increase the risk of development of systemic infections from bacterial, fungal, or viralinfections in the mouth. The hyperemic and edematous mucosa initially appears reddened. Thiserythema is due to a thinning of the epithelium and vascular dilation, inflammation andedema of the submucosa. With continued radiotherapy, the mucosa becomes denuded, ulceratedand covered with fibrinous exudates. This is accompanied by pain, burning, and discomfort,which are greatly aggravated by contact with coarse or highly seasoned food. Depending on theextent of the treatment field involvement of the pharyngeal mucosa, may produce difficulties inswallowing and speech this is often at its worst in 2–3 weeks treatment. With symptoms usuallydiminishing there after completion of treatment. After 4 weeks of treatment, 90–95% of patientsshow complete resolution of mucositis and sore throat is absent or minimum.

      ❶ Common sites of oral cavity mucositis include the buccal, labial, and soft palate mucosa along with ventral surface of tongue, floor of the mouth. ❶ Oral kavite mukozitinin yaygın bölgeleri; bukkal (yanak), labial (dudak), yumuşak damak mukozası ile birlikte dilin alt yüzeyi ve ağız tabanıdır.

      ❷ If the pharynx is involved, the individual may have a sore throat and difficulties in swallowing and talking. ❷ Farenks etkilenmişse, kişide boğaz ağrısı ile birlikte yutma ve konuşmada güçlük görülebilir.

      ❸ Esophagitis is caused by damage to the mucosal lining and usually presents as dysphagia. ❸ Özofajit, mukoza tabakasının zarar görmesiyle oluşur ve genellikle disfaji (yutma güçlüğü) şeklinde kendini gösterir.

      ❹ Mucositis can cause severe pain and increase the risk of development of systemic infections from bacterial, fungal, or viral infections in the mouth. ❹ Mukozit şiddetli ağrıya neden olabilir ve ağızda bakteri, mantar veya virüs kaynaklı sistemik enfeksiyon gelişme riskini artırabilir.

      ❺ The hyperemic and edematous mucosa initially appears reddened. ❺ Hiperemik (aşırı kanlanmış) ve ödemli mukoza başlangıçta kızarık görünür.

      ❻ This erythema is due to a thinning of the epithelium and vascular dilation, inflammation and edema of the submucosa. ❻ Bu eritem (kızarıklık), epitelin incelmesi ve damar genişlemesi ile submukozanın iltihabı ve ödeminden kaynaklanır.

      ❼ With continued radiotherapy, the mucosa becomes denuded, ulcerated and covered with fibrinous exudates. ❼ Radyoterapi devam ettikçe mukoza soyulur, ülserleşir ve fibrinöz eksüdatlarla kaplanır.

      ❽ This is accompanied by pain, burning, and discomfort, which are greatly aggravated by contact with coarse or highly seasoned food. ❽ Bu duruma ağrı, yanma ve rahatsızlık eşlik eder; bunlar özellikle sert veya baharatlı yiyeceklerle temasla ciddi şekilde artar.

      ❾ Depending on the extent of the treatment field, involvement of the pharyngeal mucosa may produce difficulties in swallowing and speech. ❾ Tedavi alanının kapsamına bağlı olarak farengeal mukozanın tutulumu, yutma ve konuşma zorluklarına yol açabilir.

      ❿ This is often at its worst in 2–3 weeks of treatment, with symptoms usually diminishing thereafter completion of treatment. ❿ Bu durum genellikle tedavinin 2–3. haftasında en kötü halini alır ve belirtiler tedavi tamamlandıktan sonra genellikle azalır.

      ⓫ After 4 weeks of treatment, 90–95% of patients show complete resolution of mucositis and sore throat is absent or minimum. ⓫ Tedaviden 4 hafta sonra, hastaların %90–95'inde mukozit tamamen iyileşir ve boğaz ağrısı ya hiç kalmaz ya da minimum düzeye iner.

    4. * Trismus and fibrosis* Malnutrition* Osteo radionecrosis* Dental caries* Xerostemia.These symptoms can subside 2–4 weeks after completion of radiotherapy.

      ❶ Trismus and fibrosis ❶ Trismus ve fibrozis

      ❷ Malnutrition ❷ Malnütrisyon (yetersiz beslenme)

      ❸ Osteoradionecrosis ❸ Osteoradyonekroz

      ❹ Dental caries ❹ Diş çürükleri

      ❺ Xerostemia ❺ Kserostomi (ağız kuruluğu)

      ❻ These symptoms can subside 2–4 weeks after completion of radiotherapy. ❻ Bu belirtiler, radyoterapinin tamamlanmasından 2–4 hafta sonra hafifleyebilir.

    Annotators

    1. Reviewer #1 (Public review):

      Summary:

      The manuscript focuses on the olfactory system of Pieris brassicae larvae and the importance of olfactory information in their interactions with the host plant Brassica oleracea and the major parasitic wasp Cotesia glomerata. The authors used CRISPR/Cas9 to knockout odorant receptor co-receptors (Orco), and conducted a comparative study on the behavior and olfactory system of the mutant and wild-type larvae. The study found that Orco-expressing olfactory sensory neurons in antennae and maxillary palps of Orco knockout (KO) larvae disappeared, and the number of glomeruli in the brain decreased, which impairs the olfactory detection and primary processing in the brain. Orco KO caterpillars show weight loss and loss of preference for optimal food plants; KO larvae also lost weight when attacked by parasitoids with the ovipositor removed, and mortality increased when attacked by untreated parasitoids. On this basis, the authors further studied the responses of caterpillars to volatiles from plants attacked by the larvae of the same species and volatiles from plants on which the caterpillars were themselves attacked by parasitic wasps. Lack of OR mediated olfactory inputs prevents caterpillars from finding suitable food sources and from choosing spaces free of enemies.

      Strengths:

      The findings help to understand the important role of olfaction in caterpillar feeding and predator avoidance, highlighting the importance of odorant receptor genes in shaping ecological interactions.

      Weaknesses:

      There are the following major concerns:

      (1) Possible non-targeted effects of Orco knockout using CRISPR/Cas9 should be analyzed and evaluated in Materials and Methods and Results

      (2) Figure 1E: Only one olfactory receptor neuron was marked in WT. There are at least three olfactory sensilla at the top of the maxillary palp. Therefore, to explain the loss of Orco expressing neurons in the mutant (Figure 1F), a more rigorous explanation of the photo is required.

      (3) In Figure 1G, H, the four glomeruli circled by dotted lines: their corresponding relationship between the two figures needs to be further clarified.

      (4) Line 130: Since the main topic in this study is the olfactory system of larvae, the experimental results of this part are all about antennal electrophysiological responses, mating frequency and egg production of female and male adults of wild type and Orco KO mutant, it may be considered to include this part in the supplementary files. It is better to include some data about the olfactory responses of larvae.

      (5) Line 166: The sentences in the text is about the choice test between " healthy plant vs. infested plant", while in Fig 3C, it is "infested plant vs. no plant". The content in the text does not match the figure.

      (6) Lines 174-178: Fig 3A showed that the body weight of Orco KO larvae in the absence of parasitic wasps also decreased compared with that of WT. Therefore, in the experiments of Fig 3A and E, the difference in the body weight of Orco KO larvae in the presence or absence of parasitic wasps without ovipositors should also be compared. The current data cannot determine the reduced weight of KO mutant is due to the Orco knockout or the presence of parasitic wasps.

      (7) Lines 179-181: Fig 3F show that the survival rate of larvae of Orco KO mutant decreased in the presence of parasitic wasps, and the difference in survival rate of larvae of WT and Orco KO mutant in the absence of parasitic wasps should also be compared. The current data cannot determine whether the reduced survival of the KO mutant is due to the Orco knockout or the presence of parasitic wasps.

      (8) In Figure 4B, why do the compounds tested had no volatiles derived from plants? Cruciferous plants have the well-known mustard bomb. In the behavioral experiments the larvae responses to ITC compounds were not included, which is suggested to be explained in the discussion section.

      (9) The custom-made setup and the relevant behavioral experiments in Fig 4C needs to be described in detail (Line 545).

      (10) Materials and Methods Line 448: 10 μL paraffin oil should be used for negative control.

      Comments on revised version:

      The authors have replied my concerns and made revisions accordingly.

    2. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The manuscript focuses on the olfactory system of Pieris brassicae larvae and the importance of olfactory information in their interactions with the host plant Brassica oleracea and the major parasitic wasp Cotesia glomerata. The authors used CRISPR/Cas9 to knockout odorant receptor coreceptors (Orco), and conducted a comparative study on the behavior and olfactory system of the mutant and wild-type larvae. The study found that Orco-expressing olfactory sensory neurons in antennae and maxillary palps of Orco knockout (KO) larvae disappeared, and the number of glomeruli in the brain decreased, which impairs the olfactory detection and primary processing in the brain. Orco KO caterpillars show weight loss and loss of preference for optimal food plants; KO larvae also lost weight when attacked by parasitoids with the ovipositor removed, and mortality increased when attacked by untreated parasitoids. On this basis, the authors further studied the responses of caterpillars to volatiles from plants attacked by the larvae of the same species and volatiles from plants on which the caterpillars were themselves attacked by parasitic wasps. Lack of OR-mediated olfactory inputs prevents caterpillars from finding suitable food sources and from choosing spaces free of enemies.

      Strengths:

      The findings help to understand the important role of olfaction in caterpillar feeding and predator avoidance, highlighting the importance of odorant receptor genes in shaping ecological interactions.

      Weaknesses:

      There are the following major concerns:

      (1) Possible non-targeted effects of Orco knockout using CRISPR/Cas9 should be analyzed and evaluated in Materials and Methods and Results.

      Thank you for your suggestion. In the Materials and Methods, we mention how we selected the target region and evaluated potential off-target sites by Exonerate and CHOPCHOP. Neither of these methods found potential off-target sites with a more-than-17-nt alignment identity. Therefore, we assumed no off-target effect in our Orco knockout. Furthermore, we did not find any developmental differences between wildtype and knockout caterpillars when these were reared on leaf discs in Petri dishes (Fig S4). We will further highlight this information on the off-target evaluation in the Results section.

      (2) Figure 1E: Only one olfactory receptor neuron was marked in WT. There are at least three olfactory sensilla at the top of the maxillary palp. Therefore, to explain the loss of Orcoexpressing neurons in the mutant (Figure 1F), a more rigorous explanation of the photo is required.

      Thank you for pointing this out. The figure shows only a qualitative comparison between WT and KO and we did not aim to determine the total number of Orco positive neurons in the maxillary palps or antennae of WT and KO caterpillars, but please see our previous work for the neuron numbers in the caterpillar antennae (Wang et al., 2024). We did indeed find more than one neuron in the maxillary palps, but as these were in very different image planes it was not possible to visualize them together. However, we will add a few sentences in the Results and Discussion section to explain the results of the maxillary palp Orco staining.

      (3) In Figure 1G, H, the four glomeruli are circled by dotted lines: their corresponding relationship between the two figures needs to be further clarified.

      Thank you for pointing this out. The four glomeruli in Figure 1G and 1H are not strictly corresponding. We circled these glomeruli to highlight them, as they are the best visualized and clearly shown in this view. In this study, we only counted the number of glomeruli in both WT and KO, however, we did not clarify which glomeruli are missing in the KO caterpillar brain. We will further clarify this in the figure legend.

      (4) Line 130: Since the main topic in this study is the olfactory system of larvae, the experimental results of this part are all about antennal electrophysiological responses, mating frequency, and egg production of female and male adults of wild type and Orco KO mutant, it may be considered to include this part in the supplementary files. It is better to include some data about the olfactory responses of larvae.

      Thank you for your suggestion. We do agree with your suggestion, and we will consider moving this part to the supplementary information. Regarding larval olfactory response, we unfortunately failed to record any spikes using single sensillum recordings due to the difficult nature of the preparation; however we do believe that this would be an interesting avenue for further research.

      (5)Line 166: The sentences in the text are about the choice test between " healthy plant vs. infested plant", while in Fig 3C, it is "infested plant vs. no plant". The content in the text does not match the figure.

      Thank you for pointing this out. The sentence is “We compared the behaviors of both WT and Orco KO caterpillars in response to clean air, a healthy plant and a caterpillar-infested plant”. We tested these three stimuli in two comparisons: healthy plant vs no plant, infested plant vs no plant. The two comparisons are shown in Figure 3C separately. We will aim to describe this more clearly in the revised version of this manuscript.

      (6) Lines 174-178: Figure 3A showed that the body weight of Orco KO larvae in the absence of parasitic wasps also decreased compared with that of WT. Therefore, in the experiments of Figure 3A and E, the difference in the body weight of Orco KO larvae in the presence or absence of parasitic wasps without ovipositors should also be compared. The current data cannot determine the reduced weight of KO mutant is due to the Orco knockout or the presence of parasitic wasps.

      Thank you for pointing this out. We did not make a comparison between the data of Figures 3A and 3E since the two experiments were not conducted at the same time due to the limited space in our BioSafety III greenhouse. We do agree that the weight decrease in Figure 3E is partly due to the reduced caterpillar growth shown in Figure 3A. However, we are confident that the additional decrease in caterpillar weight shown in Figure 3E is mainly driven by the presence of disarmed parasitoids. To be specific, the average weight in Figure 3A is 0.4544 g for WT and 0.4230 g for KO, KO weight is 93.1% of WT caterpillars. While in Figure 3E, the average weight is 0.4273 g for WT and 0.3637 g for KO, KO weight is 85.1% of WT caterpillars. We will discuss this interaction between caterpillar growth and the effect of the parasitoid attacks more extensively in the revised version of the manuscript.

      (7) Lines 179-181: Figure 3F shows that the survival rate of larvae of Orco KO mutant decreased in the presence of parasitic wasps, and the difference in survival rate of larvae of WT and Orco KO mutant in the absence of parasitic wasps should also be compared. The current data cannot determine whether the reduced survival of the KO mutant is due to the Orco knockout or the presence of parasitic wasps.

      We are happy that you highlight this point. When conducting these experiments, we selected groups of caterpillars and carefully placed them on a leaf with minimal disturbance of the caterpillars, which minimized hurting and mortality. We did test the survival of caterpillars in the absence of parasitoid wasps from the experiment presented in Figure 3A, although this was missing from the manuscript. There is no significant difference in the survival rate of caterpillars between the two genotypes in the absence of wasps (average mortality WT = 8.8 %, average mortality KO = 2.9 %; P = 0.088, Wilcoxon test), so the decreased survival rate is most likely due to the attack of the wasps. We will add this information to the revised version of the manuscript.

      (8) In Figure 4B, why do the compounds tested have no volatiles derived from plants? Cruciferous plants have the well-known mustard bomb. In the behavioral experiments, the larvae responses to ITC compounds were not included, which is suggested to be explained in the discussion section.

      Thank you for the suggestion. We assume you mean Figure 4D/4E instead of Figure 4B. In Figure 4B, many of the identified chemical compounds are essentially plant volatiles, especially those from caterpillar frass and caterpillar spit. In Figure 4D/4E, most of the tested chemicals are derived from plants. But indeed, we did not include ITCs, based on information from the EAG results in Figures 2A & 2B. Butterfly antennae did not respond strongly to ITCs, so we did not include ITCs in the larval behavioural tests. Instead, the tested chemicals in Figure 4D/4E either elicit high EAG responses of butterflies or have been identified as “important” by VIP scores in the chemical analyses. In the EAG results of Plutella xylostella (Liu et al., 2020), moths responded well to a few ITCs, the tested ITCs in our study are actually adopted from this study except for those that were not available to us. However, butterflies did not show a strong response to the tested ITCs; therefore, we did not include ITCs because we expected that Pieris brassicae caterpillars are not likely to show good responses to ITCs. We will add this explanation to the revised version of our manuscript.

      (9) The custom-made setup and the relevant behavioral experiments in Figure 4C need to be described in detail (Line 545).

      We will add more detailed descriptions for the setup and method in the Materials and Methods.

      (10) Materials and Methods Line 448: 10 μL paraffin oil should be used for negative control.

      Thank you for pointing this out. We used both clean filter paper and clean filter paper with 10 μL paraffin oil as negative controls, but we did not find a significant difference between the two controls. Therefore, in the EAG results of Figure 2A/2B, we presented paraffin oil as one of the tested chemicals. We will re-run our statistical tests with paraffin oil as negative control, although we do not expect any major differences to the previous tests.

      Reviewer #2 (Public review):

      Summary:

      This manuscript investigated the effect of olfactory cues on caterpillar performance and parasitoid avoidance in Pieris brassicae. The authors knocked out Orco to produce caterpillars with significantly reduced olfactory perception. These caterpillars showed reduced performance and increased susceptibility to a parasitoid wasp.

      Strengths:

      This is an impressive piece of work and a well-written manuscript. The authors have used multiple techniques to investigate not only the effect of the loss of olfactory cues on host-parasitoid interactions, but also the mechanisms underlying this.

      Weaknesses:

      (1) I do have one major query regarding this manuscript - I agree that the results of the caterpillar choice tests in a y-maze give weight to the idea that olfactory cues may help them avoid areas with higher numbers of parasitoids. However, the experiments with parasitoids were carried out on a single plant. Given that caterpillars in these experiments were very limited in their potential movement and source of food - how likely is it that avoidance played a role in the results seen from these experiments, as opposed to simply the slower growth of the KO caterpillars extending their period of susceptibility? While the two mechanisms may well both take place in nature - only one suggests a direct role of olfaction in enemy avoidance at this life stage, while the other is an indirect effect, hence the distinction is important.

      We do agree with your comment that both mechanisms may be at work in nature and we do address this in the Discussion section. In our study, we did find that wildtype caterpillars were more efficient in locating their food source and did grow faster on full plants than knockout caterpillars. This faster growth will enable wildtype caterpillars to more quickly outgrow the life-stages most vulnerable to the parasitoids (L1 and L2). The olfactory system therefore supports the escape from parasitoids indirectly by enhancing feeding efficiency directly.

      Figure 3D shows that WT caterpillars prefer infested plants without parastioids to infested plants with parasitoids. In addition, we observed that caterpillars move frequently between different leaves. Therefore, we speculate that WT caterpillars make use of volatiles from the plant or from (parasitoid-exposed) conspecifics via their spit or faeces to avoid parts of the plant potentially attracting natural enemies. Knockout caterpillars are unable to use these volatile danger cues and therefore do not avoid plant parts that are most attractive to their natural enemies, making KO caterpillars more susceptible and leading to more natural enemy harassment. Through this, olfaction also directly impacts the ability of a caterpillar to find an enemy-free feeding site.

      We think that olfaction supports the enemy avoidance of caterpillars via both these mechanisms, although at different time scales. Unfortunately, our analysis was not detailed enough to discern the relative importance of the two mechanisms we found. However, we feel that this would be an interesting avenue for further research. Moreover, we will sharpen our discussion on the potential importance of the two different mechanisms in the revised version of this manuscript.

      (2) My other issue was determining sample sizes used from the text was sometimes a bit confusing. (This was much clearer from the figures).

      We will revise the sample size in the text to make it more clear.

      (3) I also couldn't find the test statistics for any of the statistical methods in the main text, or in the supplementary materials.

      Thank you for pointing this out. We will provide more detailed test statistics in the main text and in the supplementary materials of the revised version of the manuscript.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      (1) Abstract

      Line 24: "optimal food plant" should be changed to "optimal food plants"

      Thank you for the suggestion, we will revise it.

      (2) Introduction

      Lines 44-46: The sentence should be rephrased.

      Thank you for the suggestion, we will revise it.

      Line 50: "are" should be changed to "is".

      Thank you for the suggestion, we will revise it.

      Lines 57 and 58: Please provide the Latin names of "brown planthoppers" and "striped stem borer".

      Thank you for the suggestion, we will revise it.

      Line 85: "investigate the influence of odor-guided behavior by this primary herbivore on the next trophic levels"; similarly, Line 160: "investigate if caterpillars could locate the optimal host-plant when supplied with differently treated plants". These sentences are not very accurate in describing the relevant experiments. A: Thank you for the suggestion, we will revise them.

      Reviewer #2 (Recommendations for the authors):

      (1) L53 Remove the "the" from "Under the strong selection pressure"

      Thank you for the suggestion, we will revise it.

      (2) L80 I suggest adding a reference for the spitting behaviour, e.g. Muller et al 2003.

      Thank you for the suggestion, we will add it.

      (3) L89 establishing a homozygous KO insect colony.

      Thank you for the suggestion, we will revise it.

      (4) L107 perhaps this goes against the journal style but I always like to see acronyms explained the first time they are used.

      Thank you for the suggestion, we will try to make it more understandable.

      (5) L146-148 sentence difficult to read - consider rephrasing.

      Thank you for the suggestion, we will revise it.

      (6) L230 do you mean still produce? Rather than still reproduce?

      Thank you for the suggestion, we will revise it.

      (7) L233 missing an and before "a greater vulnerability to the parasitoid wasp".

      Thank you for pointing this out, we will revise it.

      (8) L238 malfunctional is a strange word choice.

      Thank you for pointing this out, we will revise it.

      (9) L181 - can the authors confirm that this lower survival was due to parasitism by the wasps?

      This question is similar to Q(7) of Reviewer 1, so we quote our answer for Q(7) here:

      When conducting these experiments, we selected groups of caterpillars and carefully placed them on a leaf with minimal disturbance of the caterpillars, which minimized hurting and mortality. We did test the survival of caterpillars in the absence of parasitoid wasps from the experiment presented in Figure 3A, although this was missing from the manuscript. There is no significant difference in the survival rate of caterpillars between the two genotypes in the absence of wasp (average mortality WT = 8.8 %, average mortality KO = 2.9 %; P = 0.088, Wilcoxon test), so the decreased survival rate is most likely due to the attack of the wasps. We will add this information to the revised version of the manuscript.

      (10) L474 - has it been tested if wasps still behave similarly after their ovipositor has been removed?

      Thank you for pointing out this issue. We did not strictly compare if disarmed and untreated wasps have similar behaviors. However, we did observe if disarmed wasps can actively move or fly after recovering from anesthesia before releasing into a cage, otherwise we would replace with another active one.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      This study aims to identify the proteins that compose the electrical synapse, which are much less understood than those of the chemical synapse. Identifying these proteins is important to understand how synaptogenesis and conductance are regulated in these synapses. The authors identified more than 50 new proteins and used immunoprecipitation and immunostaining to validate their interaction of localization. One new protein, a scaffolding protein, shows particularly strong evidence of being an integral component of the electrical synapse. However, many key experimental details are missing (e.g. mass spectrometry), making it difficult to assess the strength of the evidence.

      Strengths:

      One newly identified protein, SIPA1L3, has been validated both by immunoprecipitation and immunohistochemistry. The localization at the electrical synapse is very striking.<br /> A large number of candidate interacting proteins were validated with immunostaining in vivo or in vitro.

      Weaknesses:

      There is no systematic comparison between the zebrafish and mouse proteome. The claim that there is "a high degree of evolutionary conservation" was not substantiated.

      We have added a table as supplementary figure 3 that shows a comparison of all candidates. While there are differences in both proteomes, components such as ZO proteins and the endocytosis machinery are clearly conserved.

      No description of how mass spectrometry was done and what type of validation was done.

      We have contacted the mass spec facility we worked with and added a paragraph explaining the mass spec. procedure in the material and methods section.

      The threshold for enrichment seems arbitrary.

      Yes, the thresholds are somewhat arbitrary. This is due to the fact that experiments that captured larger total amounts of protein (mouse retina samples) had higher signal-to-noise ratio than those that captured smaller total amounts of protein (zebrafish retina). This allowed us to use a more stringent threshold in the mouse dataset to focus on high probability captured proteins.

      Inconsistent nomenclature and punctuation usage.

      We have scanned through the manuscript and updated terms that were used inconsistently in the interim revision of the manuscript.

      The description of figures is very sparse and error-prone (e.g. Figure 6).

      In Figure 1B, there is very broad non-specific labeling by avidin in zebrafish (In contrast to the more specific avidin binding in mice, Figure 2B). How are the authors certain that the enrichment is specific at the electrical synapse?

      The enrichment of the proteins we identified is specific for electrical synapses because we compared the abundance of all candidates between Cx35b-V5-TurboID and wildtype retinas. Proteins that are components of electrical synapses, will only show up in the Cx35b-V5-TurboID condition. The western blot (Strep-HRP) in figure 1C shows the differences in the streptavidin labeling and hence the enrichment of proteins that are part of electrical synapses. Moreover, while the background appears to be quite abundant in sections, biotinylation is a rare posttranslational modification and mainly occurs in carboxylases: The two intense bands that show up above 50 and 75 kDa. The background mainly originates from these two proteins. Therefore, it is easy to distinguish specific hits from non-specific background.

      In Figure 1E, there is very little colocalization between Cx35 and Cx34.7. More quantification is needed to show that it is indeed "frequently associated."

      We agree that “frequently associated” is too strong as a statement. We corrected this and instead wrote “that Cx34.7 was only expressed in the outer plexiform layer (OPL) where it was associated with Cx35b at some gap junctions” in line 151. There are many gap junctions at which Cx35b is not colocalized with Cx34.7.

      Expression of GFP in HCs would potentially be an issue, since GFP is fused to Cx36 (regardless of whether HC expresses Cx36 endogenously) and V5-TurboID-dGBP can bind to GFP and biotinylate any adjacent protein.

      Thank you for this suggestion! There should be no Cx36-GFP expression in horizontal cells, which means that the nanobody cannot bind to anything in these cells. Moreover, to recognize specific signals from non-specific background, we included wild type retinas throughout the entire experiments. This condition controls for non-specific biotinylation.

      Figure 7: the description does not match up with the figure regarding ZO-1 and ZO-2.

      It appears that a portion of the figure legend was left out of the submitted version of the manuscript. We have put the legend for panels A through C back into the manuscript in the interim revision.

      Reviewer #2 (Public review):

      Summary:

      This study aimed to uncover the protein composition and evolutionary conservation of electrical synapses in retinal neurons. The authors employed two complementary BioID approaches: expressing a Cx35b-TurboID fusion protein in zebrafish photoreceptors and using GFP-directed TurboID in Cx36-EGFP-labeled mouse AII amacrine cells. They identified conserved ZO proteins and endocytosis components in both species, along with over 50 novel proteins related to adhesion, cytoskeleton remodeling, membrane trafficking, and chemical synapses. Through a series of validation studies¬-including immunohistochemistry, in vitro interaction assays, and immunoprecipitation - they demonstrate that novel scaffold protein SIPA1L3 interacts with both Cx36 and ZO proteins at electrical synapse. Furthermore, they identify and localize proteins ZO-1, ZO-2, CGN, SIPA1L3, Syt4, SJ2BP, and BAI1 at AII/cone bipolar cell gap junctions.

      Strengths:

      The study demonstrates several significant strengths in both experimental design and validation approaches. First, the dual-species approach provides valuable insights into the evolutionary conservation of electrical synapse components across vertebrates. Second, the authors compare two different TurboID strategies in mice and demonstrate that the HKamac promoter and GFP-directed approach can successfully target the electrical synapse proteome of mouse AII amacrine cells. Third, they employed multiple complementary validation approaches - including retinal section immunohistochemistry, in vitro interaction assays, and immunoprecipitation-providing evidence supporting the presence and interaction of these proteins at electrical synapses.

      Weaknesses:

      The conclusions of this paper are supported by data; however, some aspects of the quantitative proteomics analysis require clarification and more detailed documented. The differential threshold criteria (>3 log2 fold for mouse vs >1 log2 fold for zebrafish) will benefit from biological justification, particularly given the cross-species comparison. Additionally, providing details on the number of biological or technical replicates used in this study, along with analyses of how these replicates compare to each other, would strengthen the confidence in the identification of candidate proteins. Furthermore, including negative controls for the histological validation of proteins interacting with Cx36 could increase the reliability of the staining results.

      While the study successfully characterized the presence of candidate proteins at the electrical synapses between AII amacrine cells and cone bipolar cells, it did not compare protein compositions between the different types of electrical synapses within the circuit. Given that AII amacrine cells form both homologous (AII-AII) and heterologous (AII-cone bipolar cell) electrical synapses-connections that serve distinct functional roles in retinal signaling processing-a comparative analysis of their molecular compositions could have provided important insights into synapse specificity.

      Reviewer #3 (Public review):

      Summary:

      This study by Tetenborg S et al. identifies proteins that are physically closely associated with gap junctions in retinal neurons of mice and zebrafish using BioID, a technique that labels and isolates proteins proximal to a protein of interest. These proteins include scaffold proteins, adhesion molecules, chemical synapse proteins, components of the endocytic machinery, and cytoskeleton-associated proteins. Using a combination of genetic tools and meticulously executed immunostaining, the authors further verified the colocalizations of some of the identified proteins with connexin-positive gap junctions. The findings in this study highlight the complexity of gap junctions. Electrical synapses are abundant in the nervous system, yet their regulatory mechanisms are far less understood than those of chemical synapses. This work will provide valuable information for future studies aiming to elucidate the regulatory mechanisms essential for the function of neural circuits.

      Strengths:

      A key strength of this work is the identification of novel gap junction-associated proteins in AII amacrine cells and photoreceptors using BioID in combination with various genetic tools. The well-studied functions of gap junctions in these neurons will facilitate future research into the functions of the identified proteins in regulating electrical synapses.

      Thank you for these comments.

      Weaknesses:

      I do not see major weaknesses in this paper. A minor point is that, although the immunostaining in this study is beautifully executed, the quantification to verify the colocalization of the identified proteins with gap junctions is missing. In particular, endocytosis component proteins are abundant in the IPL, making it unclear whether their colocalization with gap junction is above chance level (e.g. EPS15l1, HIP1R, SNAP91, ITSN in Figure 3B).

      Recommendations for the authors:

      Reviewer #2 (Recommendations for the authors):

      (1) It would be helpful to include a comprehensive summary of the results from the quantitative proteomics analyses, such as the number of proteins detected in each species and the number of proteins associated with each GO term. Additionally, a clear figure or table highlighting the specific proteins conserved between zebrafish and mice would strengthen the evidence for evolutionary conservation of proteins at electrical synapses.

      We have added the raw data we received from our mass spec facility including a comparison of all the candidates for different species. Supplementary figure 3.

      (2) A more detailed description of the number of experimental and/or technical replicates would improve the technical rigor of the study. For example, what was the rationale for using different log2 fold-change cutoffs in mice versus zebrafish? Are the replicates consistent in terms of protein enrichment?

      We have added raw data from individual experiments as a supplement (Excel spreadsheet). We have two replicates from zebrafish and two from mice. The first experiment in mice was conducted with fewer retinas and a different promoter (human synapsin promoter) and didn’t yield nearly as many candidates. We are currently running a third experiment with 35 mouse retinas which will most likely detect more candidates as we have identified currently. We can update the proteome in this paper once the analysis is complete. It is not feasible to conduct these experiments with multiple replicates at the same time, since the number of animals that have to be used is simply too high, especially since very specific genotypes are required that are difficult obtain.

      (3) It would be interesting to determine whether there are differences in the presence of candidate proteins between AII-AII gap junctions and AII-cone bipolar cell gap junctions. Given that the subcellular localization of AII-AII gap junctions differs from that of AII-cone bipolar cell gap junctions (with most AII-AII gap junctions located below AII-cone ones), histological validations of the proteins shown in Figure 6 can be repeated for AII-AII gap junctions. This would help reveal similarities or differences in the protein compositions of these two types of gap junctions.

      Thank you for this suggestion. We had similar plans. However, we realized that homologous gap junctions are difficult to recognize with GFP. The dense GFP labeling in the proximal IPL, where AII-AII gap junctions are formed, does not allow us to clearly trace the location of individual dendrites from different cells. Detecting AII-AII gap junctions would require intracellular dye Injections of neighboring AII cells. Unfortunately, we don’t have a set up that would allow this. Bipolar cell terminals, on the contrary, are a lot easier to detect with markers such as SCGN, which is why we decided to focus on AII/ONCB gap junctions.

      (4) In Figures 1 and 2, it would be helpful to clarify in the figure legends whether the proteins in the interaction networks represent all detected proteins or only those selected based on log2 fold-change or other criteria.

      Thank you for this suggestion! We have added a description in lines 643 and 662.

      (5) In Figure 1A (bottom panel), please include a negative control for the Neutravidin staining result from the non-labeling group.

      We only tested the biotinylation for wild type retinas in cell lysates and western blots as shown in figure 1C, which shows an entirely different biotinylation pattern.

      (6) In Figure 2B, please include the results of Neutravidin staining for both the labeling and non-labeling groups.

      Same comment: We see the differences in the biotinylation pattern on western blots, which is distinct for Cx36-EGFP and wild type retinas, although both genotypes were injected with the same AAV construct and the same dose of biotin. We hope that this provides sufficient evidence for the specificity of our approach.

      (7) In Figure 5B, the sizes of multiple proteins detected by Western blotting are inconsistent and confusing. For example, the size of Cx36 in the "FLAG-SJ2BP" panel differs from that in the other three panels. Additionally, in the "Myc-SIPA1L3+" panel, the size of SIPA1l3 appears different between the input and IP conditions.

      Thank you for pointing this out! The differences in the molecular weight can be explained by dimerization. We have indicated the position of the dimer and the monomer bands with arrows. Especially, when larger amounts of Cx36 are coprecipitated Cx36 preferentially occurs as a dimer. This can also be seen in our previous publication:

      S. Tetenborg et al., Regulation of Cx36 trafficking through the early secretory pathway by COPII cargo receptors and Grasp55. Cellular and Molecular Life Sciences 81, 1-17 (2024). Figure 1D

      The band that occurs above 150kDa in the SIPA1L3 input is most likely a non-specific product. The specific band for SIPA1L3 can be seen in the IP sample, which has the appropriate molecular weight. We often see much better immuno reactivity for the protein of interest in IP samples, because the protein is concentrated in these experiments which facilitates its detection.

      (8) How specific are the antibodies used for validating the proteins in this study? Given that many proteins, such as EPS15l1, HIP1R, SNAP91, GPrin1, SJ2BP, Syt4, show broad distribution in the IPL (Figure 3B, 4A, 6D), it is important to validate the specificity of these antibodies. Additionally, including negative controls in the histological validation would strengthen the reliability of the results.

      We carefully selected the antibodies based on western blot data, that confirmed that each antibody detected an antigen of appropriate size. Moreover, the distribution of the proteins mentioned is consistent with function of each protein described in the literature. EPS15L1 and GPrin1 for instance are both membrane-associated, which is evident in Hek cells. Figure 5C.

      A true negative control would require KO tissue and we don’t think that this is feasible at this point.

      (9) In Figure 7F, the model could be improved by highlighting which components may be conserved between zebrafish and mice, as well as which components are conserved between the AII-AII junction and AII-cone bipolar cell junction?

      Thank you for this suggestion. However, we don’t think that this is necessary as our study primarily focuses on the AII amacrine cell.

      Currently we are unable to distinguish differences in the composition of AII-AII and AII-ONCB junctions as described above.

      (10) Are there any functional measurements that could support the conclusion that "loss of Cx36 resulted in a quantitative defect in the formation of electrical synapse density complex"?

      The loss of electrical synapse density proteins is shown by these immunostaining comparisons. Functional measurements necessarily depend on the function of the electrical synapse itself, which is gone in the case of the Cx36 KO. It is not clear that a different functional measurement can be devised.

      Reviewer #3 (Recommendations for the authors):

      (1) It would be very helpful if there were page and line numbers on the manuscript.

      Line and page numbers have been added.

      (2) Typos in the 3rd paragraph, the sentence 'which is triggered by the influx of Calcium though non-synaptic NMDA...'

      Should it read '... Calcium THROUGH non-synaptic NMDA'?

      We have corrected this typo.

      (3) Figure 1B: please add a description of the top panels, 'Cx36 S293'.

      A description of the top panels has been added to the figure legend in line. Line 639.

      (4) Figure 1C: what do the arrows indicate?

      We apologize for the confusion. The arrows in the western blot indicate the position of the Cx35-V5-TurboID construct, which can be detected with streptavidin-HRP and the V5 antibody. We have added a description for these arrows to the figure legend. See line 641.

      (5) Related to the point in the 'Weakness', there are some descriptions of how well some of the gap junction-associated proteins colocalize with Cx36 in immunostaining. For example, 'In comparison to the scaffold proteins, however, the colocalization of Cx36 with each of these endocytic components, was clearly less frequent and more heterogenous, which appears to reflect different stages in the life cycle of Cx36' and 'All of these proteins showed considerable colocalization with Cx36 in AII amacrine cell dendrites'. It would be nice to see quantification data to support these claims.

      Thank you for this suggestion. We have added a colocalization analysis to figure 3 (C & D). We quantified the colocalization for the endocytosis proteins Eps15l1 and Hip1r. This quantification included a flipped control to rule out random overlap. For both proteins we confirmed true colocalization (Figure 3D).

      (6) In Figure 5B, it would be helpful if there were arrows or some kind in western blottings to indicate which bands are supposed to be the targeted proteins.

      We have added arrows in IP samples to indicate bands representing the corresponding protein.

      (7) In the sentence including 'for the PBM of Cx36, as it is the case for ZO-1', what is PBM?

      The PBM means PDZ binding motif. We have added an explanation for this abbreviation in line 244.

      (8) Please add a description of the Cx35b promoter construct in the Method section.

      The Cx35b Promoter is a 6.5kb fragment. We will make the clone available via Addgene to ensure that all details of the clone can be accessed via snapgene or alternative software.

    1. Reviewer #1 (Public review):

      This study presents evidence that remote memory in the APP/PS1 mouse model of Alzheimer's disease (AD) is associated with PV interneuron hyperexcitability and increased inhibition of cortical engram cells. Its strength lies in the fact that it explores a neglected aspect of memory research - remote memory impairments related to AD (for which the primary research focus is usually on recent memory impairments) -which has received minimal attention to date. While the findings are intriguing, the weakness of the paper hovers around purely correlational types of evidence and superficial data analyses, which require substantial revisions as outlined below.

      Major concerns:

      (1) In light of previous work, including that by the authors themselves, the data in Figure 1 should be complemented by measurements of recent memory recall in order to assess whether remote memories are exclusively impaired or whether remote memory recall merely represents a continuation of recent memory impairments.

      (2) Figure 2 shows electrophysiological properties of PV cells in the mPFC that correlate with the behavior shown in Figure 1. However, the mice used in Figure 2 are different than the mice used in Figure 1. Thus, the data are correlative at best, and the authors need to confirm that behavioral impairments in the APP/PS1 mice crossed to PV-Cre (and SST-Cre mice) used in Figure 2 are similar to those of the APP/PS1 mice used in Figure 1. Without that, no conclusions between behavioral impairments and electrophysiological as well as engram reactivation properties can be made, and the central claims of the paper cannot be upheld.

      (3) The reactivation data starting in Figure 3 should be analysed in much more depth: a) The authors restrict their analysis to intra-animal comparisons, but additional ones should be performed, such as inter-animal (WT vs APP/PS1) as well as inter-age (12-16w vs 16-20w). In doing so, reactivation data should be normalized to chance levels per animal, to account for differences in labelling efficiency - this is standard in the field (see original Tonegawa papers and for a reference). This could highlight differences in total reactivation that are already apparent, such as for instance in WT vs APP/PS1 at 20w (Figure 3o), and highlight a decrease in reactivation in AD mice at this age, contrary to what is stated in lines 213-214. b) Comparing the proportion of mcherry+ cells in PV- and PV+ is problematic, considering that the PV- population is not "pure" like the PV+, but rather likely to represent a mix of different pyramidal neurons (probably from several layers), other inhibitory neurons like SST and maybe even glial cells. Considering this, the statement on line 218 is misleading in saying that PVs are overrepresented. If anything, the same populations should be compared across ages or groups. c) A similar concern applies to the mcherry- population in Figure 4, which could represent different types of neurons that were never active, compared to the relatively homogeneous engram mcherry+ population. This could be elegantly fixed by restricting the comparison to mCherry+Fos+ vs mCherry+Fos- ensembles, and could indicate engram reactivation-specific differences in perisomatic inhibition by PV cells.

      (4) At several instances, there are some doubts about the statistical measures having been employed: a) In Figure 4f, it is unclear why a repeated measurement ANOVA was used as opposed to a regular ANOVA. b) In Supplementary Figure 2b, a Mann-Whitney test was used, supposedly because the data were not normally distributed. However, when looking at the individual data points, the data does seem to be normally distributed. Thus, the authors need to provide the test details as to how they measured the normalcy of distribution.

      Minor concerns:

      (1) Line 117: The authors cite a recent memory impairment here, as shown by another paper. However, given the notorious difficulty in replicating behavioral findings, in particular in APP/PS1 mice (number of backcrossings, housing conditions, etc., might differ between laboratories), such a statement cannot be made. The authors should either show in their own hands that recent memory is indeed affected at 12 weeks of age, or they should omit this statement.

      (2) Pertaining to Figure 3, low-resolution images of the mPFC should be provided to assess the spread of injection and the overall degree of double-positive cells.

    1. Reviewer #1 (Public review):

      Summary:

      This study provides the first evidence that glucose availability, previously shown to support cell survival in other models, is also a key determinant for post-implantation MSC survival in the specific context of pulmonary fibrosis. To address glucose depletion in this context, the authors propose an original, elegant, and rational strategy: enhancing intracellular glycogen stores to provide transplanted MSCs with an internal energy reserve. This approach aims to prolong their viability and therapeutic functionality after implantation.

      Strengths:

      The efficacy of this metabolic engineering strategy is robustly demonstrated both in vitro and in an orthotopic mouse model of pulmonary fibrosis.

      Comments and questions for clarification:

      (1) Glycogen biosynthesis typically involves several enzymes. In this context, could the authors comment on the effect of overexpressing a single enzyme - especially a mutant version - on the structure or quality of the glycogen synthesized?

      (2) Regarding the in vitro starvation experiments (Figure 2C), what oxygen conditions (pO₂) were used? Are these conditions physiologically relevant and representative of the in vivo lung microenvironment?

      (3) In the in vitro model, how many hours does it take for the intracellular glycogen reserve to be completely depleted under starvation conditions?

      (4) For the in vivo model, is there a quantitative analysis of the survival kinetics of the transplanted cells over time for each group? This would help to better assess the role and duration of glycogen stores as an energy buffer after implantation.

      (5) Finally, the study was performed in male mice only. Could sex differences exist in the efficacy or metabolism of the engineered MSCs? It would be helpful to discuss whether the approach could be expected to be similarly effective in female subjects.

      (6) The number of mice for each group and time point should be specified.

    2. Reviewer #2 (Public review):

      Summary:

      In this article, the authors investigate enhancing the therapeutic and regenerative properties of mesenchymal stem cells (MSCs) through genetic modification, specifically by overexpressing genes involved in the glycogen synthesis pathway. By creating a non-phosphorylatable mutant form of glycogen synthase (GYSmut), the authors successfully increased glycogen accumulation in MSCs, leading to significantly improved cell survival under starvation conditions. The study highlights the potential of glycogen engineering to improve MSC function, especially in inflammatory or energy-deficient environments. However, critical gaps in the study's design, including the lack of validation of key findings, limited differentiation assessments, and missing data on MSC-GYSmut resistance to reactive oxygen species (ROS), necessitate further exploration.

      Strengths:

      (1) Novel Approach: The study introduces an innovative method of enhancing MSC function by manipulating glycogen metabolism.

      (2) Increased Glycogen Storage: The genetic modification of GYS1, resulting in GYSmut, significantly increased glycogen accumulation, leading to improved MSC survival under starvation, which has strong implications for enhancing MSC therapeutic properties in energy-deficient environments.

      (3) Potential Therapeutic Impact: The findings suggest significant therapeutic potential for MSCs in conditions that require improved survival, persistence, and immunomodulation, especially in inflammatory or energy-limited settings.

      (4) In Vivo Validation: The in vivo murine model of pulmonary fibrosis demonstrated the improved survival and persistence of MSC-GYSmut, supporting the translational potential of the approach.

      Weaknesses:

      (1) Lack of Differentiation Assessments: The study did not evaluate key MSC differentiation pathways, including chondrogenic and osteogenic differentiation. The absence of analysis of classical MSC surface markers and multipotency limits the understanding of the full potential of MSC-GYSmut.

      (2) Missing Validation of RNA Sequencing Data: Although RNA sequencing data revealed promising transcriptomic changes in chondrogenesis and metabolic pathways, these findings were not experimentally validated, limiting confidence.

      (3) Lack of ROS Resistance Analysis: Resistance to reactive oxygen species (ROS), an important feature for MSCs under regenerative conditions, was not assessed, leaving out a critical aspect of MSC function.

      (4) Inconsistencies in In Vivo Data: There is a discrepancy between the number of animals shown in the figures and the graph (three individuals vs. five animals), as well as missing details on how luciferase signal intensity was quantified, requiring further clarification.

      (5) Limited Exploration of Immunosuppressive Properties: The study did not address the immunosuppressive functions of MSC-GYSmut, which are critical for MSC-based therapies in clinical settings.

      Conclusion:

      The study presents an exciting new direction for enhancing MSC function through glycogen metabolism engineering. While the results show promise, key experiments and validations are missing, and several areas, such as differentiation capacity, ROS resistance, and immunosuppressive properties, require further investigation. Addressing these gaps would solidify the conclusions and strengthen the potential clinical applications of MSC-GYSmut in regenerative medicine.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      Formins are complex proteins with multiple effects on actin filament assembly, including nucleation, capping with processive elongation, and bundling. Determining which of these activities is important for a given biological process and normal cellular function is a major challenge.

      Here, the authors study the formin FHOD3L, which is essential for normal sarcomere assembly in muscle cells. They identify point mutants of FHOD3L in which formin nucleation and elongation/bundling activities are functionally separated. Expression of these mutants in neonatal rat ventricular myocytes shows that the control of actin filament elongation by formin is the major activity required for the normal assembly of functional sarcomeres.

      Strengths:

      The strength of this work is to combine sensitive biochemical assays with excellent work in neonatal rat ventricular myocytes. This combination of approaches is highly effective for analyzing the function of proteins with multiple activities in vitro.

      Weaknesses:

      FHOD3L does not seem to be the easiest formin to study because of its relatively weak nucleation activity and the short duration of capping events. This difficulty imposes rigorous biochemical analysis and careful interpretation of the data, which should be improved in this work.

      We thank the reviewer for their praise and appreciation of our work. Indeed, FHOD3L is a challenging formin to work with.

      Important points are raised here and below regarding the brief elongation events we reported. As suggested, we performed more rigorous analysis of the data and present it in the revised manuscript. We now report that from 45 dim regions analyzed, in three independent experiments with wild type FHOD3L, we detected 40 bursts. (The remaining five could be formin falling off too quickly to detect or the dim spots could be regions of inhomogeneity in intensity, not due to formin.) For comparison to the presented data with FHOD3L-CT, we analyzed the filaments in TIRF assays with no formin present. As the reviewers point out, inhomogeneities in filament intensity are normal. Thus, we examined any dim spots for pauses and/or bursts. As is now reported in Figure 2G,H, the velocity of growth of these dim spots is indistinguishable from the velocity of the rest of the filament. We acknowledge that our numbers may not be perfectly accurate, due to the noise in our system, we believe that the difference of 3-4 fold increase versus no change in rate is substantial and convincing.

      We also determined the number of dim spots per length of filament. We found a higher frequency when FHOD3L-CT or FHOD3S-CT was present vs no formin, as now shown in Figure 2 – supplements 1G and 2E.

      We were asked about the pauses we observe before bursts of elongation and how we know they are functionally relevant. The short answer is that we do not know. We reported them because they were so common: Of the 40 bursts, pauses preceded the burst in 38 cases. We cannot rule out that this pause reflects an interaction with the surface but might expect the frequency to be lower if it were. We revise the text to make our conclusions about pauses more circumspect.

      We are convinced that the brief dim events we observed in the presence of FHOD3L-CT, in fact, reflect formin-mediated elongation and worked hard to improve their presentation, in addition to the added analysis. We include new kymographs, including examples from FHOD3L, FHOD3S, K1193L, and actin alone. We hope that the reviewers are also convinced.

      This does not preclude our interest in the microfluidics and two-color assays, which will be pursued in the future. We have reached out to a colleague who is set up to repeat these measurements with microfluidics-assisted TIRF. The noise should be greatly reduced and the system is also optimal for directly visualizing labeled FHOD3, as suggested. We expect these experimental approaches will provide additional insights.

      Reviewer #2 (Public review):

      This article elucidates the biochemical and cellular mechanisms by which the FHOD-family of formins, particularly FHOD3, contributes to sarcomere formation and contractility in cardiomyocytes. Formins are mainly known to nucleate and elongate actin filaments, with certain family members also exhibiting capping, severing, and bundling activities. Although FHOD3 has been well-established as essential for sarcomere assembly in cardiomyocytes, its precise biochemical functions and contributions to actin dynamics remain poorly understood.

      In this study, the authors combine in vitro biochemical assays with cellular experiments to dissect FHOD3's roles in actin assembly and sarcomere formation. They demonstrate that FHOD3 nucleates actin filaments and acts as a transient elongator, pausing elongation after an initial burst of filament growth. Using separation-of-function mutants, they show thatFHOD3's elongation activity - rather than its nucleation, capping, or bundling capabilities - is key for its sarcomeric function.

      The experiments have been conducted rigorously and well-analyzed, and the paper is clearly written. The data presented support the authors' conclusions. I appreciate the detailed description and rationale behind the FHOD3 constructs used in this study.

      We are happy to hear others find paper to be clearly written and well described.

      However, I was somewhat surprised and a bit disappointed that while the authors conducted single-color TIRF experiments to observe the effects of FHOD3 on single filaments, they did not use fluorescently labeled FHOD3 to directly visualize its behavior. Incorporating such experiments would significantly strengthen their conclusions regarding FHOD3's bursts of elongation interspersed with capping activity. While I understand this might require a few additional weeks of experiments, these data would add considerable value by directly testing the proposed mechanism.

      We appreciate the suggestion and hope to incorporate a two-color approach soon. As noted, FHOD3L is not always easy to work with and we do not have a functional labeled copy of the protein at this time.

      There is a typo in the word "required" in line number 30. The authors also use fit data to extract parameters in several panels (e.g., Figures 2b, 2d, 3a, and 3b). While these fit functions may be intuitive to actin experts, explicitly describing the fit functions in the figure legends or methods would greatly benefit the broader readership.

      Thank you for these comments. We updated the indicated figures and described the analysis in greater detail.

      Reviewer #3 (Public review):

      Valencia et al. aim to elucidate the biochemical and cellular mechanisms through which the human formin FHOD3 drives sarcomere assembly in cardiomyocytes. To do so, they combined rigorous in vitro biochemical assays with comprehensive in vivo characterizations, evaluating two wild-type FHOD3 isoforms and two function-separating mutants. Surprisingly, they found that both wild-type FHOD3 isoforms can nucleate new actin filaments, as well as elongate existing actin filaments in conjunction with profilin following barbed-end capping. This is in addition to FHOD3's proposed role as an actin bundler. Next, the authors asked whether FHOD3L promotes sarcomere assembly in cardiomyocytes through its activity in actin nucleation or rather elongation. With two function-separating mutants, the authors evaluated the numbers and morphology of sarcomeres, as well as their ability to beat and generate cardiac rhythm. The authors found that while the wild-type FHOD3L and the K1193L mutant can rescue sarcomere morphology and physiology, the GS-FH1 mutant fails to do so. Given that in GS-FH1 mainly elongation activity is compromised, the authors concluded that the elongation activity of FHOD3 is essential for its role in sarcomere assembly in cardiomyocytes, while its nucleator activity is dispensable. Overall, this important study provided a broadened view on the biochemical activities of FHOD3, and a pioneering view on a possible cellular mechanism of how FHOD3L drives sarcomere assembly. If further validated, this can lead to new mechanistic models of sarcomere assembly and potentially new therapeutic targets of cardiomyopathy.

      The conclusions of this paper are mostly well supported by the comprehensive biochemical analyses performed by the authors. However, the sarcomere assembly defect phenotype in the GS-FH1 rescue condition requires further investigation, as the extremely low level of GS-FH1 signal in transfected cells in Figure 6A may reflect a failure of actin-binding by this construct in vivo, rather than its inability to drive elongation. Though the authors do show in Figure 6 that GS-FH1 can bind to normal-looking sarcomeres when they are present, this may be due to a lack of siRNA activity in these cells, such that endogenous FHOD3L is still present. In this possible scenario, GS-FH1 may dimerize with endogenous FHOD3L. The authors should demonstrate that GS-FH1 alone can indeed interact with existing actin filaments in vivo. While this has been clearly demonstrated in vitro, given the more complex biochemical environment in vivo where additional unknown binding partners may present, cautions should be made when extrapolating findings from the former to the latter.

      The reviewer is concerned about the low protein levels in the GS-FH1 rescue experiments as reflected in the HA fluorescence intensity distributions shown in Fig. 5 Supplement 2A. While the scenario proposed could explain our observations with the GSFH1 rescues it is quite complex. Nor does the scenario preclude the conclusion that the FH1 domain is critical. We agree that the observed sarcomeres are likely to be residual in cells with incomplete RNAi. We now include the image of a cell that is still full of sarcomeres and note that the GH-FH1 is expressed at a relatively high level and striated throughout the cell. We interpret this as evidence that GS-FH1 is stable when suitable binding sites are available. We cannot exclude that there is more GS-FH1 because there was more endogenous FHOD3L with which to heterodimerize. If the GS-FH1 heterodimer were simply poisoning the wild type protein, we do not expect that it would be bound correctly to sarcomeres. If, instead, heterodimers have some activity, it seems far from sufficient to rescue sarcomere formation, suggesting that two functional FH1 domains are critical.

      Furthermore, we do not see evidence of correlation between protein levels and rescue at the level present in these cells (addressed below). Unfortunately, the proposed IP to test whether FHOD3L binds actin in vivo would only potentially report on filament side binding (both direct and indirect). It would not address whether the GS-FH1 mutant functions as a nucleator, elongator, bundler and/or capping protein in vivo.

      The critical question that we can address is whether the phenotype is due to low protein levels, assuming the protein present is functional, or due to loss of elongation activity by FHOD3L. To address this question, we returned to our data.

      First, we plotted the distributions of the intensities of the cells we analyzed further, in addition to the automated readout of all of the cells in the dish (Fig. 4 supplement 1). These cells were selected randomly and, as should be the case, the distributions of their intensities agree well with the original distributions for the three different rescue constructs: FHOD3L, K1193L, and GS-FH1 (Fig. 6 supplement 1). We then asked whether there was any correlation in HA intensities with the sarcomere metrics. As seen in our pilot data, no correlation is evident in any of the three cases across the range of intensities we collected (400 – 2700 a.u.) (old Fig. 6 supplement C,D,E). We now replace the data from pilot experiments with analysis of HA intensities and sarcomere metrics from the data sets included in the paper (new Fig 6. Supplement 1). Again, little to no correlation was observed (the single highest r-squared value is 0.2 and the remaining eight values are less than or equal to 0.08).

      To more specifically address the question of whether low HA fluorescence intensity is likely to reflect sufficient protein levels to build sarcomeres we re-examined two data sets from the FHOD3L WT rescue data. We found that, by chance, the first replicate of data from the wild type rescue has a comparable intensity distribution to that of the GSFH1 rescues (580 +/- 261 / cell vs. 548 +/- 105 / cell). In addition, we collected all of the data from cells with intensity levels <720, designed to mimic the distribution of the GS-FH1 cells (Fig. 6 supplement 3). We then compared the sarcomere metrics (sarcomere number, sarcomere length, sarcomere width) between the full data set and the two low intensity subsets:

      • Sarcomere number is the only non-normal metric. We therefore used the Mann Whitney U test, which shows no difference between all 3 WT distributions.

      • We compared Z-line lengths by one-way ANOVA and Tukey's post hoc tests, again finding no significant difference for all distributions.

      • Sarcomere length shows a weakly significant difference (p=0.038) between the whole WT data set and bio rep 1, but no difference between the whole WT data set and the HA<720 group.

      Thus, cells expressing wild type FHOD3L at levels comparable to levels detected in GS-FH1 mutant rescues, are fully rescued. Based on these findings we conclude that the expression levels in the GS-FH1 are high enough to rescue the FHOD3 knock down, supporting our conclusion that the defect is due to loss of elongation activity. We have added this analysis and discussion to the revised manuscript.

      Recommendations for the authors:

      Reviewing Editor Comments:

      You will see that the 3 reviewers are very positive about your work and appreciate the elegant combination of biochemical assays and functional tests in cardiomyocytes. We've had a long discussion with them and we all agree that two experiments deserve further effort to make the conclusions of your paper more convincing.

      Thank you.

      The first experiment is the TIRF elongation assay, where the two biochemist Reviewers remain doubtful that these short events are really due to the presence of a formin at the end of the filament. One of them suggests that two-color imaging with a labeled formin should clearly prove this point.

      We agree that the elongation assays can be improved. Given the similarity of processivity of Fhod3L, Fhod3S and Drosophila FhodA (measured by a distinct method), we are inclined to believe them. However, the reviewer raises an excellent point about the accuracy of the measurements given the resolution (and noise) of the data. We are interested in the two-color imaging assay but do not believe it will necessarily simplify the analysis. We suspect that Fhod spends more time at/near the barbed end than is apparent based on elongation rates. The fact that we see repeated events on individual filaments at such low concentrations of FHOD3L (0.1 nM) supports this idea. Otherwise, the likelihood of FHOD3L finding barbed ends so often is really quite low.

      We will return to these experiments, using alternate methods, curious to see what else we learn. In the meantime, we conducted more thorough analysis, including controls, and improved visualization of example traces. Data for elongation analysis and kymographs were acquired with Jfilament. We stretched the x-axis (time) in kymographs for FHOD3L-CT (Fig. 2F), FHOD3S-CT (Fig. 2, supplement 2C), FHOD3L-CT K1193L (Fig. 3, supplement 1A), and actin alone (Fig 2G), and highlighted regions of analysis. The slopes for these regions, separated based on intensity, were fit to the data in KaleidaGraph. The fits are offset from the data such that they do not obscure the filaments and corresponding rates are given. The fact that we never see fast dim regions when FHOD3 is not present, as shown in Fig. 2H and that the frequency of dim events is markedly increased (Fig. 2-supplements 1G and 2E) give us confidence that the events are real. We acknowledge in the text that the precise values of the short events may be inaccurate due to the resolution of our experiments. We hope the reviewers are convinced by the improved analysis.

      The second experiment is the sarcomere assembly defect phenotype in the GS-FH1 rescue condition. This requires further investigation, as the extremely low level of GS-FH1 signal in transfected cells in Figure 6A may reflect a failure of actin-binding/nucleation in vivo, rather than its inability to elongate F-actin. Although you show that GS-FH1 can bind to sarcomeres when they are present, this may be due to a lack of siRNA activity in these cells, such that endogenous FHOD3L is still present. In this possible scenario, GS-FH1 could dimerize with endogenous FHOD3L.

      We agree that the sarcomeres we see are likely to be residual and could reflect some remaining endogenous FHOD3. The reviewers are concerned about the low protein levels in the GSFH1 rescues. First, we do not agree that the levels are “extremely” low. Through careful analysis, we established that 3xHA-FHOD3L intensities between 300 and 3000 a.u./um<sup>2</sup> were sufficient for full rescue. The mean for the GSFH1 experiments is 533 +/- 93, which is well within this range. Furthermore, we did not observe correlation between sarcomere number, length, or width and HA intensity over the full range collected for wild type FHOD3L or within the GS-FH1 data. We previously showed pilot data but now show correlation analysis for every analyzed cell (Fig. 4 – figure supplement 1 D-F). We conducted this analysis on all of the mutant rescue experiments (Fig. 6-supplement 1). Finally, we identified two subpopulations of the wildtype rescue data. One is all of the cells with HA intensity < 720, which gives a distribution of mean 545 +/- 85. The second set is the first biological replicate of wild type rescue, which has a distribution of mean 560 +/- 160. Again correlation shows little relationship between HA levels and sarcomere metrics. Nevertheless, we show intensity level matched images in Fig 6, as opposed to images reflecting average intensities.

      The critical question remains whether the phenotype is due to low protein levels or due to loss of elongation by FHOD3L. Notably, we now show a cell that is full of sarcomeres and has relatively high FHOD3L levels as well, consistent with available binding sites stabilizing mutant protein but not ruling out heterodimerization (Fig. 6 – figure supplement 2C). Others have expressed mutant FHOD3L in a wild type background in mice. They observed poisoning, consistent with heterodimerization. Thus, it is possible that, as suggested, the FHOD3L-GSFH1 detected in sarcomeres is in fact heterodimerized with residual endogenous FHOD3L. In this case, we would still conclude that the protein is not functional enough to rescue, supporting a role for the FH1 domain.

      In the future, we plan to perform experiments with compromised, but not inactive, FH1 domains, as we discuss in the paper.

      We hope that you will find these comments useful.

      Yes, the comments were thoughtful and helped us write a better paper. Thank you.

      Reviewer #1 (Recommendations for the authors):

      Some experiments should be described and analyzed more carefully. This lack of clarity calls into question the interpretation of some experiments. Overall, this study is not yet as convincing as it should be.

      Main recommendations:

      (1) Formin elongation phases in the TIRF experiment are not convincing. They are rare and it is difficult to see any significant difference between the control movie without FHOD3L-CT and the movie with FHOD3L-CT. Filaments assembled in the absence of FHOD3L-CT also show some fluorescence inhomogeneity (which is normal), and measurements of formin elongation rates and capping times are not convincing (for example, the kymograph of the control profilin-actin situation in Figure 2F also shows a fast elongation phase on the right).

      Please see response above. We conducted more thorough analysis and created improved visualizations. We hope the data are more convincing now.

      It is also difficult to understand how an accurate measurement can be made from these noisy kymographs, and the method section should explain that precisely.

      This is a valid point. We added details of analysis to the methods section and we discuss the fact that the measurements are at the limit of our resolution in the paper. We rely on the large (~3-fold) difference in elongation, more than specific elongation rates for our interpretation.

      One of the problems is that these events are too transient to quantify well with noisy data. I noticed that the formin concentration used in these movies is quite low (0.1 nM FHOD3L-CT). Is there a reason for this? Is it possible to increase the formin concentration to increase the number of formin capping/elongation events and provide more convincing movies?

      We acknowledge that the data are noisy. We felt that it was necessary to perform experiments with filaments only tethered at one end, leaving the growing end free. We did so, in part, because when we did experiments with biotinylated actin to anchor the filaments down, we observed pauses in the absence of formin. Ultimately, we compromised, using anchored seeds and a relatively low concentration of NEM-myosin to decrease motion of the actin filaments.

      The experiments were performed with such low FHOD3L-CT because it was a potent nucleator in TIRF assays, making data analysis nearly impossible with more formin present. FHOD3S-CT and FHOD3L-CT K1193L behaved somewhat differently between these experiments and we were able to perform them with 1 nM formin.

      Not seeing formin at the tip of the filaments is an additional difficulty because we do not know if these pauses occur because formin is stuck to the coverslips (which could very well happen with these sticky proteins) or freely bound at the end of a filament as the text suggests. Is there any argument in favor of one scenario over the other?

      This will be an important experiment. As described above, we suspect that Fhod spends more time at/near the barbed end than is apparent based on elongation data. The fact that we see repeated events on individual filaments at such low concentrations of FHOD3L (0.1 nM) supports this idea. Otherwise, the likelihood of FHOD3L finding barbed ends so often is really quite low. In order to address the question about the cause of pauses, we reviewed our data, finding that 38 of 40 bursts were preceded by pauses. We do, however, discuss that we cannot rule out non-specific interactions with the surface.

      (2) Pyrene elongation assays in the presence of profilin are actually more convincing to test the elongation ability of formins. However, such an assay is not presented for all mutants. It should be.

      While we agree to some extent with this comment, we did not include the pyrene data for all of the mutants because the shapes of the curves were even more complicated than those seen with wild type FHOD3L-CT rendering them uninterpretable.

      (3) Some experiments (e.g. in Figure 2E) are performed with yeast profilin, while others (e.g. in Figure 2F) are performed with human profilin. Obviously, both profilins could modulate formin activity differently and the side-by-side interpretation of both experiments is difficult. Could the authors stick to human profilin for all experiments?

      We used to always perform pyrene assays with yeast profilin because it was known to be insensitive to pyrene. These data were collected before we realized that the affinity of human profilin for actin is so high that we could probably do everything with this profilin. We have compared the two profilins for other formins, e.g. Delphilin, Capu, and did not observe detectable differences.

      Minor recommendations:

      (1) The pyrene assays with the light blue colored curve choice are not ideal. I have difficulties seeing some of the curves.

      Thank you. We added symbols to a subset of the traces to make them more visible.

      (2) In the same curves, I can't understand what the +3.75 and 0.078 numbers mean. Could these results be plotted in a clearer way?

      These values are the lowest concentrations in the range tests. They were matching light blue with black outline for visibility. We added symbols and changed the color of the numbering for improved visibility/understanding.

      (3) In Figure 2D, is the Kd of I1163A really determined only from 2 experimental data points?

      Of course not. We now show the figure with extended axes in Fig. 2 - figure supplement 1C.

      (4) In Figure 2C, the shape of the curves suggests that this is not a pure capping assay, but a mix of capping and nucleation. It's not dramatic but could lead to an under-estimation of the capping efficiency.

      We agree with the reviewer that the complicated shapes confound interpretation. Our analysis is based on the earliest slopes, in part, for this reason. We added discussion of this complication to the text.

      Reviewer #3 (Recommendations for the authors):

      Suggestions for additional experiments:

      (1) To evaluate whether GS-FH1 alone can indeed interact with existing actin filaments in vivo, the authors may consider performing immunoprecipitation assays with GS-FH1 extracted from rescued NRVMs.

      An IP of GS-FH1 from cells could show actin filament side binding but, unfortunately, will not provide any information about filament end binding, which is of much greater interest.

      It will be helpful to show phalloidin staining in GS-FH1 rescues in a similar manner as in Figure 6-supplement 1, panel B, and compare that with mock rescue in Figure 4 panel D. It will be essential to prove this prior to concluding that actin elongation activity is essential for sarcomere assembly.

      This is an excellent suggestion. We now include images of phalloidin stained cells from both K1193L and GS-FH1 rescues (Fig. 6A’ – supplement 2A,B). We were intrigued to see small actin punctae that were sometimes aligned. We speculate that these could be pre-premyofibrils and suggest that this is further evidence that the GS-FH1 protein is not completely unstable.

      (2) Prior to sarcomere assembly, a-actinin is known to form short bundles with actin filaments (I-Z-I complex) without clearly defined periodicity. This semi-ordered state then transforms into the more ordered sarcomeres with periodic spacing. It will be valuable to show the phalloidin staining in addition to the a-actinin IF consistently across all conditions. This may lead to further insights into the defects of sarcomere assembly. Along the same vein, higher magnification images showcasing several sarcomeres will help the readers evaluate these defects.

      We agree that there are additional valuable measurements to be made. In order to favor synchronized contraction, we plated the cells at too high a density to reliably identify IZI complexes. We have included some zoomed in images of the phalloidin staining.

      Recommendations for improving the writing:

      The authors mentioned the interaction between cardiac MyBP-C and FHOD3L as essential for the localization of FHOD3L to the C-line of the sarcomere. Can they discuss whether this interaction is important for the role of FHOD3L in sarcomere assembly? If so, how?

      This is a very interesting question that we cannot answer at this time.

      Minor corrections to the text and figures:

      In the legend of Figure 2-Figure Supplement 1, the labels of (F) and (E) are swapped.

      Thank you for catching this.

    1. Author response:

      eLife Assessment

      This useful study presents Altair-LSFM, a solid and well-documented implementation of a light-sheet fluorescence microscope (LSFM) designed for accessibility and cost reduction. While the approach offers strengths such as the use of custom-machined baseplates and detailed assembly instructions, its overall impact is limited by the lack of live-cell imaging capabilities and the absence of a clear, quantitative comparison to existing LSFM platforms. As such, although technically competent, the broader utility and uptake of this system by the community may be limited.

      We thank the reviewers and editors for their thoughtful evaluation of our work and for recognizing the technical strengths of the Altair-LSFM platform, including the custom-machined baseplates and detailed documentation provided to support accessibility and reproducibility. We respectfully disagree, however, with the assessment that the system lacks live-cell imaging capabilities. We are fully confident in the system’s suitability for live-cell applications and will demonstrate this by including representative live-cell imaging data in the revised manuscript, along with detailed instructions for implementing environment control. Moreover, we will expand our discussion to include a broader, more quantitative comparison to existing LSFM platforms—highlighting trade-offs in cost, performance, and accessibility—to better contextualize Altair’s utility and adaptability across diverse research settings.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The article presents the details of the high-resolution light-sheet microscopy system developed by the group. In addition to presenting the technical details of the system, its resolution has been characterized and its functionality demonstrated by visualizing subcellular structures in a biological sample.

      Strengths:

      (1) The article includes extensive supplementary material that complements the information in the main article.

      (2) However, in some sections, the information provided is somewhat superficial.

      Our goal was to make the supplemental content as comprehensive and useful as possible. In addition to the materials provided with the manuscript, our intention is for the online documentation (available at thedeanlab.github.io/altair) to serve as a living resource that evolves in response to user feedback. For this reason, we are especially interested in identifying and expanding any sections that are perceived as superficial, and we would greatly appreciate the reviewer’s guidance on which areas would benefit from further elaboration.

      Weaknesses:

      (1) Although a comparison is made with other light-sheet microscopy systems, the presented system does not represent a significant advance over existing systems. It uses high numerical aperture objectives and Gaussian beams, achieving resolution close to theoretical after deconvolution. The main advantage of the presented system is its ease of construction, thanks to the design of a perforated base plate.

      We appreciate the reviewer’s assessment and the opportunity to clarify our intent. Our primary goal was not to introduce new optical functionality beyond that of existing high-performance light-sheet systems, but rather to reduce the barrier to entry for non-specialist labs.

      (2) Using similar objectives (Nikon 25x and Thorlabs 20x), the results obtained are similar to those of the LLSM system (using a Gaussian beam without laser modulation). However, the article does not mention the difficulties of mounting the sample in the implemented configuration.

      We agree that there are practical challenges associated with handling 5 mm diameter coverslips. However, the Nikon 25x can readily be replaced by a Zeiss W Plan-Apochromat 20x/1.0 objective, which eliminates the need for the 5 mm coverslip[1]. In the revised manuscript, we will more explicitly detail the practical challenges in handling a 5 mm coverslip and mention the alternative detection objective.

      (3) The authors present a low-cost, open-source system. Although they provide open source code for the software (navigate), the use of proprietary electronics (ASI, NI, etc.) makes the system relatively expensive. Its low cost is not justified.

      We understand the reviewer’s concern regarding the use of proprietary control hardware such as the ASI Tiger Controller and NI data acquisition cards. While lower-cost alternatives for analog and digital control (e.g., microcontroller-based systems) do exist, our choice was intentional. By relying on a unified and professionally supported platform, we minimize the complexity of sourcing, configuring, and integrating components from disparate vendors—each of which would otherwise demand specialized technical expertise. Moreover, in future releases, we aim to further streamline the system by eliminating the need for the NI card, consolidating all optoelectronic control through the ASI Tiger Controller. This approach allows users to purchase a fully assembled and pre-configured system that can be operational with minimal effort.

      It is worth noting that the ASI components are not the primary cost driver. The full set—including XYZ and focusing stages, a filter wheel, a tube lens, the Tiger Controller, and basic optomechanical adapters—costs approximately $27,000, or ~18% of the total system cost. Additional cost reductions are possible. For example, replacing the motorized sample positioning and focusing stages with manual alternatives could reduce the cost by ~$12,000. However, this would eliminate key functionality such as autofocusing, 3D tiling, and multi-position acquisition. Open-source mechanical platforms such as OpenFlexure could in principle be adapted, but they would require custom assembly and would need to be integrated into our control software. Similarly, the filter wheel could be omitted in favor of a multi-band emission filter, reducing the cost by ~$5,000. However, this comes at the expense of increased spectral crosstalk, often necessitating spectral unmixing. An industrial CMOS camera—such as the Ximea MU196CR-ON, recently demonstrated in a Direct View Oblique Plane Microscopy configuration[2]—could substitute for the sCMOS cameras typically used in high-end imaging. However, these industrial sensors often exhibit higher noise floors and lower dynamic range, limiting sensitivity for low-signal imaging applications.

      While a $150,000 system represents a significant investment, we consider it relatively cost-effective in the context of advanced light-sheet microscopy. For comparison, commercially available systems with similar optical performance—such as LLSM systems from 3i or Zeiss—are several-fold more expensive.

      (4) The fibroblast images provided are of exceptional quality. However, these are fixed samples. The system lacks the necessary elements for monitoring cells in vivo, such as temperature or pH control.

      We thank the reviewer for their positive comment regarding the quality of our fibroblast images. As noted, the current manuscript focuses on the optical design and performance characterization of the system, using fixed specimens to validate resolution and imaging stability. We acknowledge the importance of environmental control for live-cell imaging. Temperature regulation is routinely implemented in our lab using flexible adhesive heating elements paired with a power supply and PID controller. For pH stabilization in systems that lack a 5% CO<sub>2</sub> atmosphere, we typically supplement the imaging medium with 10–25 mM HEPES buffer. In the revised manuscript, we will introduce a modified sample chamber capable of maintaining user-specified temperatures, along with detailed assembly instructions. We will also include representative live-cell imaging data to demonstrate the feasibility of in vitro imaging using this system.

      Reviewer #2 (Public review):

      Summary:

      The authors present Altair-LSFM (Light Sheet Fluorescence Microscope), a high-resolution, open-source microscope, that is relatively easy to align and construct and achieves sub-cellular resolution. The authors developed this microscope to fill a perceived need that current open-source systems are primarily designed for large specimens and lack sub-cellular resolution or are difficult to construct and align, and are not stable. While commercial alternatives exist that offer sub-cellular resolution, they are expensive. The authors' manuscript centers around comparisons to the highly successful lattice light-sheet microscope, including the choice of detection and excitation objectives. The authors thus claim that there remains a critical need for high-resolution, economical, and easy-to-implement LSFM systems.

      Strengths:

      The authors succeed in their goals of implementing a relatively low-cost (~ USD 150K) open-source microscope that is easy to align. The ease of alignment rests on using custom-designed baseplates with dowel pins for precise positioning of optics based on computer analysis of opto-mechanical tolerances, as well as the optical path design. They simplify the excitation optics over Lattice light-sheet microscopes by using a Gaussian beam for illumination while maintaining lateral and axial resolutions of 235 and 350 nm across a 260-um field of view after deconvolution. In doing so they rest on foundational principles of optical microscopy that what matters for lateral resolution is the numerical aperture of the detection objective and proper sampling of the image field on to the detection, and the axial resolution depends on the thickness of the light-sheet when it is thinner than the depth of field of the detection objective. This concept has unfortunately not been completely clear to users of high-resolution light-sheet microscopes and is thus a valuable demonstration. The microscope is controlled by an open-source software, Navigate, developed by the authors, and it is thus foreseeable that different versions of this system could be implemented depending on experimental needs while maintaining easy alignment and low cost. They demonstrate system performance successfully by characterizing their sheet, point-spread function, and visualization of sub-cellular structures in mammalian cells, including microtubules, actin filaments, nuclei, and the Golgi apparatus.

      We thank the reviewer for their thoughtful summary of our work. We are pleased that the foundational optical principles, design rationale, and emphasis on accessibility came through clearly. We agree that the approach used to construct the microscope is highly modular, and we anticipate that these design principles will serve as the basis for additional system variants tailored to specific biological samples and experimental contexts. To support this, we provide all Zemax simulations and CAD files openly on our GitHub repository, enabling advanced users to build upon our design and create new functional variants of the Altair system.

      Weaknesses:

      There is a fixation on comparison to the first-generation lattice light-sheet microscope, which has evolved significantly since then:

      (1) The authors claim that commercial lattice light-sheet microscopes (LLSM) are "complex, expensive, and alignment intensive", I believe this sentence applies to the open-source version of LLSM, which was made available for wide dissemination. Since then, a commercial solution has been provided by 3i, which is now being used in multiple cores and labs but does require routine alignments. However, Zeiss has also released a commercial turn-key system, which, while expensive, is stable, and the complexity does not interfere with the experience of the user. Though in general, statements on ease of use and stability might be considered anecdotal and may not belong in a scientific article, unreferenced or without data.

      The referee is correct that our comparisons reference the original LLSM design, which was simultaneously disseminated as an open-source platform and commercialized by 3i. While we acknowledge that newer variants of LLSM have been developed—including systems incorporating adaptive optics[3] and the MOSAIC platform (which remains unpublished)—the original implementation remains the most widely described and cited in the literature. It is therefore the most appropriate point of comparison for contextualizing Altair’s performance, complexity, and accessibility. Importantly, this version of LLSM is far from obsolete; it continues to be one of the most commonly used imaging systems at Janelia Research Campus’s Advanced Imaging Center.

      We acknowledge that more recent commercial implementation by Zeiss has addressed several of the practical limitations associated with the original design. In particular, we agree that the Zeiss Lattice Lightsheet 7 system, which integrates a meniscus lens to facilitate oblique imaging through a coverslip, offers a user-friendly experience—albeit with a modest tradeoff in resolution (reported deskewed resolution: 330 nm × 330 nm × 500–1000 nm).

      While we recognize that statements on usability and stability can be subjective, one objective proxy for system complexity is the number of optical elements that require precise alignment during assembly. The original LLSM setup includes approximately 29 optical components that must each be carefully positioned laterally, angularly, and coaxially along the optical path. In contrast, the first-generation Altair system contains only 9 such elements. By this metric, Altair is considerably simpler to assemble and align, supporting our overarching goal of making high-resolution light-sheet imaging more accessible to non-specialist laboratories. In the revised manuscript, we will clarify the scope of our comparison and provide more precise language about what we mean by complexity (e.g., number of optical elements needed to align).

      (2) One of the major limitations of the first generation LLSM was the use of a 5 mm coverslip, which was a hinderance for many users. However, the Zeiss system elegantly solves this problem, and so does Oblique Plane Microscopy (OPM), while the Altair-LSFM retains this feature, which may dissuade widespread adoption. This limitation and how it may be overcome in future iterations is not discussed.

      We agree that the use of 5 mm diameter coverslips, while enabling high-NA imaging in the current Altair-LSFM configuration, may serve as an inconvenience for many users. We will discuss this more explicitly in the revised manuscript. Specifically, we note that changing the detection objective is sufficient to eliminate the need for a 5 mm coverslip. For example, as demonstrated in Moore et al., Lab Chip 2021, pairing the Zeiss W Plan-Apochromat 20x/1.0 objective with the Thorlabs TL20X-MPL allows imaging beyond the physical surfaces of both objectives, removing the constraint imposed by small-format coverslips[1]. In the revised manuscript, we will propose this modification as a straightforward path for increasing compatibility with more conventional sample mounting formats.

      (3) Further, on the point of sample flexibility, all generations of the LLSM, and by the nature of its design, the OPM, can accommodate live-cell imaging with temperature, gas, and humidity control. It is unclear how this would be implemented with the current sample chamber. This limitation would severely limit use cases for cell biologists, for which this microscope is designed. There is no discussion on this limitation or how it may be overcome in future iterations.

      We appreciate the reviewer’s emphasis on the importance of environmental control for live-cell imaging applications. It is worth noting that the original LLSM design, including the system commercialized by 3i, provided temperature control only, without integrated gas or humidity regulation. Despite this, it has been successfully used by a wide range of scientists to generate important biological insights.

      We agree that both OPM and the Zeiss implementation of LLSM offer clear advantages in terms of environmental control, as we previously discussed in detail in Sapoznik et al., eLife, 2020[4]. However, assembly of high numerical aperture OPM systems is highly technical, and no open-source variant of OPM delivers sub-cellular scale resolution yet.

      (4) The authors' comparison to LLSM is constrained to the "square" lattice, which, as they point out, is the most used optical lattice (though this also might be considered anecdotal). The LLSM original design, however, goes far beyond the square lattice, including hexagonal lattices, the ability to do structured illumination, and greater flexibility in general in terms of light-sheet tuning for different experimental needs, as well as not being limited to just sample scanning. Thus, the Alstair-LSFM cannot compare to the original LLSM in terms of versatility, even if comparisons to the resolution provided by the square lattice are fair.

      We thank the reviewer for this comment. It is true that our discussion focused primarily on the square lattice implementation of LLSM. While this could be viewed as a subset of the system’s broader capabilities, we chose this focus intentionally, as the square lattice remains by far the most commonly used variant in practice. Even in the original LLSM publication, 16 out of 20 figure subpanels utilized the square lattice, with only one panel each representing the hexagonal lattice in SIM mode, a standard Bessel beam in incoherent SIM mode, a hex lattice in dithered mode, and a single Bessel in dithered mode. This usage pattern largely reflects the operational simplicity of the square lattice: it minimizes sidelobe growth and enables more straightforward alignment and data processing compared to hexagonal or structured illumination modes.

      In 2019, we performed an exhaustive accounting of published illumination modes in LLSM and found that the SIM mode had only been used in two additional peer-reviewed publications at that time. We will consider updating this table in the revised manuscript and will expand our discussion to acknowledge the broader flexibility of the LLSM platform—including its capacity for structured illumination and alternative light-sheet geometries. However, we will also emphasize that, despite these advanced capabilities, the square lattice remains the dominant mode used by the community and therefore serves as a fair and practical benchmark for comparison.

      (5) There is no demonstration of the system's live-imaging capabilities or temporal resolution, which is the main advantage of existing light-sheet systems.

      In the revised manuscript, we will include a demonstration of live-cell imaging to directly validate the system’s suitability for dynamic biological applications. We will also characterize the temporal resolution of the system. As a sample-scanning microscope, the imaging speed is primarily limited by the performance of the Z-piezo stage. For simplicity and reduced optoelectronic complexity, we currently power the piezo through the ASI Tiger Controller. We will expand the supplementary material to describe the design criteria behind this choice, including potential trade-offs, and provide data quantifying the achievable volume rates under typical operating conditions.

      While the microscope is well designed and completely open source, it will require experience with optics, electronics, and microscopy to implement and align properly. Experience with custom machining or soliciting a machine shop is also necessary. Thus, in my opinion, it is unlikely to be implemented by a lab that has zero prior experience with custom optics or can hire someone who does. Altair-LSFM may not be as easily adaptable or implementable as the authors describe or perceive in any lab that is interested, even if they can afford it. The authors indicate they will offer "workshops," but this does not necessarily remove the barrier to entry or lower it, perhaps as significantly as the authors describe.

      We appreciate the reviewer’s perspective and agree that building any high-performance custom microscope—Altair-LSFM included—requires a baseline familiarity with optics and instrumentation. Our goal is not to eliminate this requirement entirely, but to significantly reduce the technical and logistical barriers that typically accompany custom light-sheet microscope construction.

      Importantly, no machining experience or in-house fabrication capabilities are required—users can simply submit provided design files and specifications directly to the vendor. We will make this process as straightforward as possible by supplying detailed instructions, recommended materials, and vendor-ready files. Additionally, we draw encouragement from the success of related efforts such as mesoSPIM, which has seen over 30 successful implementations worldwide using a similar model of exhaustive online documentation, open-source control software, and community support through user meetings and workshops.

      We recognize that documentation alone is not always sufficient, and we are committed to further lowering barriers to adoption. To this end, we are actively working with commercial vendors to streamline procurement and reduce the logistical burden on end users. Additionally, Altair-LSFM is supported by a Biomedical Technology Development and Dissemination (BTDD) grant, which provides dedicated resources for hosting workshops, offering real-time community support, and generating supplementary materials such as narrated video tutorials. We will expand our discussion in the revised manuscript to better acknowledge these implementation challenges and outline our ongoing strategies for supporting a broad and diverse user base.

      There is a claim that this design is easily adaptable. However, the requirement of custom-machined baseplates and in silico optimization of the optical path basically means that each new instrument is a new design, even if the Navigate software can be used. It is unclear how Altair-LSFM demonstrates a modular design that reduces times from conception to optimization compared to previous implementations.

      We appreciate the reviewer’s comment and agree that our language regarding adaptability may have been too strong. It was not our intention to suggest that the system can be easily modified without prior experience. Meaningful adaptations of the optical or mechanical design would require users to have expertise in optical layout, optomechanical design, and alignment.

      That said, for labs with sufficient expertise, we aim to facilitate such modifications by providing comprehensive resources—including detailed Zemax simulations, CAD models, and alignment documentation. These materials are intended to reduce the development burden for those seeking to customize the platform for specific experimental needs.

      In the revised manuscript, we will clarify this point and explicitly state in the discussion what technical expertise is required to modify the system. We will also revise our language around adaptability to better reflect the intended audience and realistic scope of customization.

      Reviewer #3 (Public review):

      Summary:

      This manuscript introduces a high-resolution, open-source light-sheet fluorescence microscope optimized for sub-cellular imaging.

      The system is designed for ease of assembly and use, incorporating a custom-machined baseplate and in silico optimized optical paths to ensure robust alignment and performance. The authors demonstrate lateral and axial resolutions of ~235 nm and ~350 nm after deconvolution, enabling imaging of sub-diffraction structures in mammalian cells.

      The important feature of the microscope is the clever and elegant adaptation of simple gaussian beams, smart beam shaping, galvo pivoting and high NA objectives to ensure a uniform thin light-sheet of around 400 nm in thickness, over a 266 micron wide Field of view, pushing the axial resolution of the system beyond the regular diffraction limited-based tradeoffs of light-sheet fluorescence microscopy.

      Compelling validation using fluorescent beads and multicolor cellular imaging highlights the system's performance and accessibility. Moreover, a very extensive and comprehensive manual of operation is provided in the form of supplementary materials. This provides a DIY blueprint for researchers who want to implement such a system.

      Strengths:

      (1) Strong and accessible technical innovation: With an elegant combination of beam shaping and optical modelling, the authors provide a high-resolution light-sheet system that overcomes the classical light-sheet tradeoff limit of a thin light-sheet and a small field of view. In addition, the integration of in silico modelling with a custom-machined baseplate is very practical and allows for ease of alignment procedures. Combining these features with the solid and super-extensive guide provided in the supplementary information, this provides a protocol for replicating the microscope in any other lab.

      (2) Impeccable optical performance and ease of mounting of samples: The system takes advantage of the same sample-holding method seen already in other implementations, but reduces the optical complexity. At the same time, the authors claim to achieve similar lateral and axial resolution to Lattice-light-sheet microscopy (although without a direct comparison (see below in the "weaknesses" section). The optical characterization of the system is comprehensive and well-detailed. Additionally, the authors validate the system imaging sub-cellular structures in mammalian cells.

      (3) Transparency and comprehensiveness of documentation and resources: A very detailed protocol provides detailed documentation about the setup, the optical modeling, and the total cost.

      Weaknesses:

      (1) Limited quantitative comparisons: Although some qualitative comparison with previously published systems (diSPIM, lattice light-sheet) is provided throughout the manuscript, some side-by-side comparison would be of great benefit for the manuscript, even in the form of a theoretical simulation. While having a direct imaging comparison would be ideal, it's understandable that this goes beyond the interest of the paper; however, a table referencing image quality parameters (taken from the literature), such as signal-to-noise ratio, light-sheet thickness, and resolutions, would really enhance the features of the setup presented. Moreover, based also on the necessity for optical simplification, an additional comment on the importance/difference of dual objective/single objective light-sheet systems could really benefit the discussion.

      In the revised manuscript, we will expand our discussion to include a broader range of light-sheet microscope designs and imaging modes, including both single- and dual-objective configurations. We agree that highlighting the trade-offs between these approaches—such as working distance, sample geometry constraints, and alignment complexity—will enhance the overall context and utility of the manuscript.

      To further aid comparison, we will include a summary table referencing key image quality parameters such as lateral and axial resolution, and illumination beam NA for Altair-LSFM. Where available, we will reference values from published work—such as the axial resolution reported in Valm et al. (Nature, 2017)—to provide a clearer benchmark. Because such comparisons can be technically nuanced, especially when comparing across systems with different geometries and sample mounting constraints, we will also include a supplementary note outlining the assumptions and limitations of these comparisons.

      (2) Limitation to a fixed sample: In the manuscript, there is no mention of incubation temperature, CO₂ regulation, Humidity control, or possible integration of commercial environmental control systems. This is a major limitation for an imaging technique that owes its popularity to fast, volumetric, live-cell imaging of biological samples.

      We thank the reviewer for highlighting this important consideration. In the revised manuscript, we will provide a detailed description of how temperature control can be implemented using flexible adhesive heating elements, a power supply, and a PID controller. Step-by-step assembly instructions and recommended components will be included to facilitate adoption by users interested in live-cell imaging. We also note that most light-sheet microscopy systems capable of sub-cellular resolution—including the original LLSM design, diSPIM, and ASLM—typically do not incorporate integrated CO<sub>2</sub> or humidity control. These systems often rely on HEPES-buffered media to maintain pH stability, which is generally sufficient for short- to intermediate-term imaging. While full environmental control may be necessary for extended time-lapse studies, it is not a prerequisite for high-resolution volumetric imaging in many applications. Nonetheless, we will include a discussion of the challenges associated with adding CO<sub>2</sub> and humidity control to open or semi-enclosed architectures like Altair-LSFM, and outline potential future paths for integration with commercial incubation systems.

      (3) System cost and data storage cost: While the system presented has the advantage of being open-source, it remains relatively expensive (considering the 150k without laser source and optical table, for example). The manuscript could benefit from a more direct comparison of the performance/cost ratio of existing systems, considering academic settings with budgets that most of the time would not allow for expensive architectures. Moreover, it would also be beneficial to discuss the adaptability of the system, in case a 30k objective could not be feasible. Will this system work with different optics (with the obvious limitations coming with the lower NA objective)? This could be an interesting point of discussion. Adaptability of the system in case of lower budgets or more cost-effective choices, depending on the needs.

      We thank the reviewer for raising this important point. First, we would like to clarify that the quoted $150k cost estimate includes the optical table and laser source. We apologize for any confusion and will communicate this more effectively in the revised manuscript.

      We agree that adaptability is a key concern, especially in academic settings with limited budgets. The detection path can be readily altered depending on experimental needs and cost constraints. For example, in our discussion of alternatives to the 5 mm coverslip geometry, we will describe how switching to a Zeiss W Plan-Apochromat 20x/1.0 in combination with a compatible excitation objective allows high-resolution imaging while accommodating more conventional sample formats. We will expand this to include cost-effective alternatives as well.

      We will also expand our discussion on cost-reduction strategies and the associated trade-offs. These include replacing motorized stages with manual ones, omitting the filter wheel in favor of a multi-band emission filter, or using industrial-grade cameras in place of scientific CMOS detectors. While each change entails some loss in functionality or sensitivity, such modifications allow users to tailor the system to their specific budget and application.

      Finally, we recognize the challenge in communicating exact costs of commercial systems due to variability in configuration and pricing. Nonetheless, we will include approximate figures where possible and note that comparable commercial systems—such as LLSM platforms from 3i and Zeiss—are several-fold more expensive than the system presented here.

      Last, not much is said about the need for data storage. Light-sheet microscopy's bottleneck is the creation of increasingly large datasets, and it could be beneficial to discuss more about the storage needs and the quantity of data generated.

      Data storage is indeed a critical consideration in light-sheet microscopy. In the revised manuscript, we will provide a note outlining typical volume dimensions for live-cell imaging experiments along with the associated data overhead. This will include estimates for voxel counts, bit depth, time-lapse acquisitions, and multi-channel datasets to help users anticipate storage needs. We will also briefly discuss strategies for managing large datasets, file types and compression formats.

      Conclusion:

      Altair-LSFM represents a well-engineered and accessible light-sheet system that addresses a longstanding need for high-resolution, reproducible, and affordable sub-cellular light-sheet imaging. While some aspects-comparative benchmarking and validation, limitation for fixed samples-would benefit from further development, the manuscript makes a compelling case for Altair-LSFM as a valuable contribution to the open microscopy scientific community.

      References

      (1) Moore, R. P. et al. A multi-functional microfluidic device compatible with widefield and light sheet microscopy. Lab Chip 22, 136-147 (2021). https://doi.org/10.1039/d1lc00600b

      (2) Lamb, J. R., Mestre, M. C., Lancaster, M. & Manton, J. D. Direct-view oblique plane microscopy. Optica 12, 469-472 (2025). https://doi.org/10.1364/OPTICA.558420

      (3) Liu, T. L. et al. Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms. Science 360 (2018). https://doi.org/10.1126/science.aaq1392

      (4) Sapoznik, E. et al. A versatile oblique plane microscope for large-scale and high-resolution imaging of subcellular dynamics. eLife 9 (2020). https://doi.org/10.7554/eLife.57681

      (5) Huisken, J. & Stainier, D. Y. Even fluorescence excitation by multidirectional selective plane illumination microscopy (mSPIM). Opt Lett 32, 2608-2610 (2007). https://doi.org/10.1364/ol.32.002608

      (6) Ricci, P. et al. Removing striping artifacts in light-sheet fluorescence microscopy: a review. Prog Biophys Mol Biol 168, 52-65 (2022). https://doi.org/10.1016/j.pbiomolbio.2021.07.003

    2. Reviewer #1 (Public review):

      Summary:

      The article presents the details of the high-resolution light-sheet microscopy system developed by the group. In addition to presenting the technical details of the system, its resolution has been characterized and its functionality demonstrated by visualizing subcellular structures in a biological sample.

      Strengths:

      (1) The article includes extensive supplementary material that complements the information in the main article.

      (2) However, in some sections, the information provided is somewhat superficial.

      Weaknesses:

      (1) Although a comparison is made with other light-sheet microscopy systems, the presented system does not represent a significant advance over existing systems. It uses high numerical aperture objectives and Gaussian beams, achieving resolution close to theoretical after deconvolution. The main advantage of the presented system is its ease of construction, thanks to the design of a perforated base plate.

      (2) Using similar objectives (Nikon 25x and Thorlabs 20x), the results obtained are similar to those of the LLSM system (using a Gaussian beam without laser modulation). However, the article does not mention the difficulties of mounting the sample in the implemented configuration.

      (3) The authors present a low-cost, open-source system. Although they provide open source code for the software (navigate), the use of proprietary electronics (ASI, NI, etc.) makes the system relatively expensive. Its low cost is not justified.

      (4) The fibroblast images provided are of exceptional quality. However, these are fixed samples. The system lacks the necessary elements for monitoring cells in vivo, such as temperature or pH control.

    3. Reviewer #2 (Public review):

      Summary:

      The authors present Altair-LSFM (Light Sheet Fluorescence Microscope), a high-resolution, open-source microscope, that is relatively easy to align and construct and achieves sub-cellular resolution. The authors developed this microscope to fill a perceived need that current open-source systems are primarily designed for large specimens and lack sub-cellular resolution or are difficult to construct and align, and are not stable. While commercial alternatives exist that offer sub-cellular resolution, they are expensive. The authors' manuscript centers around comparisons to the highly successful lattice light-sheet microscope, including the choice of detection and excitation objectives. The authors thus claim that there remains a critical need for high-resolution, economical, and easy-to-implement LSFM systems.

      Strengths:

      The authors succeed in their goals of implementing a relatively low-cost (~ USD 150K) open-source microscope that is easy to align. The ease of alignment rests on using custom-designed baseplates with dowel pins for precise positioning of optics based on computer analysis of opto-mechanical tolerances, as well as the optical path design. They simplify the excitation optics over Lattice light-sheet microscopes by using a Gaussian beam for illumination while maintaining lateral and axial resolutions of 235 and 350 nm across a 260-um field of view after deconvolution. In doing so they rest on foundational principles of optical microscopy that what matters for lateral resolution is the numerical aperture of the detection objective and proper sampling of the image field on to the detection, and the axial resolution depends on the thickness of the light-sheet when it is thinner than the depth of field of the detection objective. This concept has unfortunately not been completely clear to users of high-resolution light-sheet microscopes and is thus a valuable demonstration. The microscope is controlled by an open-source software, Navigate, developed by the authors, and it is thus foreseeable that different versions of this system could be implemented depending on experimental needs while maintaining easy alignment and low cost. They demonstrate system performance successfully by characterizing their sheet, point-spread function, and visualization of sub-cellular structures in mammalian cells, including microtubules, actin filaments, nuclei, and the Golgi apparatus.

      Weaknesses:

      There is a fixation on comparison to the first-generation lattice light-sheet microscope, which has evolved significantly since then:

      (1) The authors claim that commercial lattice light-sheet microscopes (LLSM) are "complex, expensive, and alignment intensive", I believe this sentence applies to the open-source version of LLSM, which was made available for wide dissemination. Since then, a commercial solution has been provided by 3i, which is now being used in multiple cores and labs but does require routine alignments. However, Zeiss has also released a commercial turn-key system, which, while expensive, is stable, and the complexity does not interfere with the experience of the user. Though in general, statements on ease of use and stability might be considered anecdotal and may not belong in a scientific article, unreferenced or without data.

      (2) One of the major limitations of the first generation LLSM was the use of a 5 mm coverslip, which was a hinderance for many users. However, the Zeiss system elegantly solves this problem, and so does Oblique Plane Microscopy (OPM), while the Altair-LSFM retains this feature, which may dissuade widespread adoption. This limitation and how it may be overcome in future iterations is not discussed.

      (3) Further, on the point of sample flexibility, all generations of the LLSM, and by the nature of its design, the OPM, can accommodate live-cell imaging with temperature, gas, and humidity control. It is unclear how this would be implemented with the current sample chamber. This limitation would severely limit use cases for cell biologists, for which this microscope is designed. There is no discussion on this limitation or how it may be overcome in future iterations.

      (4) The authors' comparison to LLSM is constrained to the "square" lattice, which, as they point out, is the most used optical lattice (though this also might be considered anecdotal). The LLSM original design, however, goes far beyond the square lattice, including hexagonal lattices, the ability to do structured illumination, and greater flexibility in general in terms of light-sheet tuning for different experimental needs, as well as not being limited to just sample scanning. Thus, the Alstair-LSFM cannot compare to the original LLSM in terms of versatility, even if comparisons to the resolution provided by the square lattice are fair.

      (5) There is no demonstration of the system's live-imaging capabilities or temporal resolution, which is the main advantage of existing light-sheet systems.

      While the microscope is well designed and completely open source, it will require experience with optics, electronics, and microscopy to implement and align properly. Experience with custom machining or soliciting a machine shop is also necessary. Thus, in my opinion, it is unlikely to be implemented by a lab that has zero prior experience with custom optics or can hire someone who does. Altair-LSFM may not be as easily adaptable or implementable as the authors describe or perceive in any lab that is interested, even if they can afford it. The authors indicate they will offer "workshops," but this does not necessarily remove the barrier to entry or lower it, perhaps as significantly as the authors describe.

      There is a claim that this design is easily adaptable. However, the requirement of custom-machined baseplates and in silico optimization of the optical path basically means that each new instrument is a new design, even if the Navigate software can be used. It is unclear how Altair-LSFM demonstrates a modular design that reduces times from conception to optimization compared to previous implementations.

    1. Reviewer #1 (Public review):

      Summary:

      The manuscript by Brothwell and colleagues describes a central role for hepatic cardiolipin deficiency in MASH. The authors identify cardiolipin as a mediator of two long-standing problems in the field: how dysregulated lipid metabolism relates to altered mitochondrial metabolism during MASLD, and what the innate changes are in the steatotic liver that cause the increased respiration. The authors identified reduced liver cardiolipin in humans with MASH and in a variety of mouse models with MASH. When they knocked out hepatic cardiolipin synthesis, mice developed steatosis and inflammation. These mice also recapitulated the elevated hepatic oxidative metabolism and oxidative stress found in obese humans with MASLD. Some of the in vivo functional data related to glucose homeostasis and substrate metabolism could be stronger, and interpretation of the in vitro flux data needs some clarification, but in both cases, the data are not essential to the main conclusions of the manuscript. Overall, the study offers compelling evidence that cardiolipin is reduced in MASLD and that impaired cardiolipin synthesis is sufficient to recapitulate many features of MASLD.

      Strengths:

      The main strengths of the study are:

      (1) The identification of reduced cardiolipin levels in the liver of humans with MASLD and in a variety of mouse models of MASLD.

      (2) The finding that loss of cardiolipin synthesis recapitulates steatosis and inflammation in MASH.

      (3) The finding that loss of cardiolipin increases mitochondrial respiration, ROS production, and fat oxidation (in a separate hepatocyte cell line), again recapitulates several previous studies in obese humans with MASLD.

      (4) Evidence, though less definitive, that cardiolipin deficiency promotes electron leak by disrupting respiratory supercomplexes and preventing CoQ reduction.

      Weaknesses:

      (1) Figure 3A-D tries to make the point that liver CLS KO causes defects in substrate handling in vivo, based on glucose and pyruvate tolerance tests. The KO mice have a blunted response to a glucose tolerance test, but the pyruvate tolerance test showed very little (almost no) effect on glucose levels in either WT or LKO mice. The small blunting of the response in the LKO is impossible to interpret (if it's real), since the ability to clear glucose is also increased, and no tracers were used. It might be useful to monitor pyruvate and lactate levels during the experiment. However, this reviewer doesn't think the data is essential to prove the authors' main points.

      (2) After presenting convincing evidence that respiration is elevated in isolated mitochondria from CLS KO liver, the authors follow up the findings by investigating whether 13C-palmitate and 13C-glucose oxidation are altered by CLS knockdown in murine Hepa1-6 cells (Figure 4). A few comments are worth mentioning about Figure 4:

      a. It is not clear why the authors chose to use a hepatoma cell line rather than primary hepatocytes from LKO mice. The latter would be more convincing, since there could be important differences in metabolism between hepatoma cells and hepatocytes (e.g., preference for fatty acids vs glucose). Nevertheless, I think the approach is sufficient to test the general effect of loss of CLS on substrate metabolism.

      b. The authors use the M+2 enrichments of TCA cycle intermediates to infer rates of oxidation of [U-13C]palmitate or [U-13C]glucose. It is important to note that this kind of data reports fractional carbon sources (i.e., substrate preference) rather than rates of oxidation. For example, data from the 13C-palmitate experiment indicates that the CLS KD cells increase the fractional contribution from 13C palmitate (compared to glucose, for example) to the TCA cycle, but the actual rate of palmitate oxidation is not implicit in the data. However, it is reasonable to suggest that, in combination with the increased rates of O2 consumption observed in isolated mitochondria, this data supports increased fat oxidation.

      c. I have some concern that the [U-13C]glucose experiment is more complicated to interpret than the description implies. I'm not sure what happens in this cell line, but in the liver, most labeling from pyruvate (i.e., originating from glucose in this case) enters the TCA cycle via pyruvate carboxylase, with smaller amounts entering via PDH (depending on the nutritional state). Since one could expect pyruvate carboxylase to contribute M+3 labeled TCA cycle intermediates initially, and M+2 on the first turn of the cycle, it's hard to conclude what the data indicates about glucose oxidation. The authors could generalize the conclusion by framing the TCA cycle enrichment data as the contribution of glucose carbons and noting in Figure 4A that pyruvate carbons can enter the TCA cycle via PDH or pyruvate carboxylase, without attempting to assign their relative contributions. There are better ways to do it, but it's a small nuance here since the authors aren't making a critical point about the pathways.

    2. Reviewer #2 (Public review):

      In this study, the authors show that alterations in the lipid composition of the inner mitochondrial membrane, particularly changes in cardiolipin (CL) content, lead to defects in electron transport, supercomplex formation, and oxidative stress. Using liver-specific CLS knockout mice, which are characterized by dysfunctional capacity for cardiolipin synthesis, the authors highlight an underappreciated role for CL in MASH pathology. Overall, this is an interesting study highlighting the importance of functional/physiological electron transport (and in this context, electron leakage) in MASH pathophysiology. Despite that, this manuscript has several weaknesses that require attention.

      (1) For all LKO studies, it is stated that the decrease in hepatic CL is causal for the observed phenotype. However, it is evident that many other lipids are impacted by CLS KO, including a marked increase in hepatic PG. In this respect, the authors show no evidence that the observed metabolic phenotype is indeed due to the reduction in CL and not to other accompanying changes.

      (2) In the results, the authors highlight that 'MASLD has been shown to alter the total cellular lipidome in liver.' Given that this study focused on CL, it would be useful to include specific studies that pointed to changes in hepatic CL content in MASLD/MASH/fibrosis.

      (3) The initial human mitochondrial lipidomics studies show a reduction in mitochondrial CL and PG content. What was the content/expression of CL synthase and PGP synthase in these samples? If this cannot be assessed, is there any association of CLS or PGPS expression and MASLD/fibrosis (etc) in publicly available databases (e.g, GEP liver) that may explain the reduction in mitochondrial PG and CL content?

      (4) The validation of MASH in patients (Figure 1B) is not convincing (ie., no quantification/scoring provided). NAS /fibrosis scoring (according to Kleiner) would help to define if all patients have indeed MASH, and what subset has fibrosis. Could the reduction in CL/PG content be (also) associated with fibrosis? In addition, Masson's Trichrome should be added to Figure 1B.

      (5) In human lipidomics, the authors suggest that reductions are observed in tetralinoleoyl CL (Figure 1C). However, Figure 1C only shows the combined FA acyl chain length + unsaturation, therefore not allowing for FA-specific ID (unless such data are available from the LC/MS analysis).

      (6) Figures 1 J/K/I. It is obvious that the background in all murine immunoblotting analysis has been altered. The authors should provide unaltered images for these immunoblots.

      (7) For Figure 1, it is unclear what is meant by 'we performed all mitochondrial lipidomic analyses by quantifying lipids per mg of mitochondrial proteins'. Was the murine lipidomics carried out on fractionated mitochondria or whole liver? If whole liver, then how were the data corrected, particularly given that PG is not a mitochondria-specific lipid?

      (8) While total CL content seems indeed decreased across the different mouse models, this is mostly due to 1-2 CL species showing a pronounced reduction, with the remainder being unaltered. This should at least be acknowledged in the results. This is similarly the case in the LKO livers.

      (9) Figure 2. A secondary biochemical analysis of changes in lipid content should be provided, e.g., total triglyceride content, particularly given that the histology analysis does not show any major changes in hepatic lipid droplets/steatosis. In addition, the Masson's Trichrome staining shows almost no collagen deposition.

      (10) Figure 3. 'CLS deletion modestly reduced glucose handling' should be reworded. The LKO mice show improved glucose tolerance (despite the MASH phenotype), which is not evident from the above wording.

      (11) Looking at the mechanism behind the increase in hepatic steatosis, the authors state that lipid accumulation can occur due to increased lipogenesis, or dysfunctional VLDL secretion or beta oxidation, and subsequently assessed the relevant proteins/pathways. What about fatty acid uptake, which is also one of the four major pathways impacted in MASLD? This should be included in this assessment in Figure 3.

      (12) For Figure 5A, it is simply stated 'CLS deletion promotes liver fibrosis in standard chow-fed condition', and it is unclear what is highlighted within the selected EM images and what the arrows refer to. The authors should clarify this within the text.

    1. Reviewer #1 (Public review):

      The manuscript by Zeng et al. describes the discovery of an F-actin-binding Legionella pneumophila effector, which they term Lfat1. Lfat1 contains a putative fatty acyltransferase domain that structurally resembles the Rho-GTPase Inactivation (RID) domain toxin from Vibrio vulnificus, which targets small G-proteins. Additionally, Lfat1 contains a coiled-coil (CC) domain.

      The authors identified Lfat1 as an actin-associated protein by screening more than 300 Legionella effectors, expressed as GFP-fusion proteins, for their co-localization with actin in HeLa cells. Actin binding is mediated by the CC domain, which specifically binds to F-actin in a 1:1 stoichiometry. Using cryo-EM, the authors determined a high-quality structure of F-actin filaments bound to the actin-binding domain (ABD) of Lfat1. The structure reveals that actin binding is mediated through a hydrophobic helical hairpin within the ABD (residues 213-279). A Y240A mutation within this region increases the apparent dissociation constant by two orders of magnitude, indicating a critical role for this residue in actin interaction.

      The ABD alone was also shown to strongly associate with F-actin upon overexpression in cells. The authors used a truncated version of the Lfat1 ABD to engineer an F-actin-binding probe, which can be used in a split form. Finally, they demonstrate that full-length Lfat1, when overexpressed in cells, fatty acylates host small G-proteins, likely on lysine residues.

      While this is a solid study, the authors should consider the following points when preparing a revised manuscript:

      Major points:

      (1) Legionella effectors are often activated by binding to eukaryote-specific host factors, including actin. The authors should test the following: a) whether Lfat1 can fatty acylate small G-proteins in vitro; b) whether this activity is dependent on actin binding; and c) whether expression of the Y240A mutant in mammalian cells affects the fatty acylation of Rac3 (Figure 6B), or other small G-proteins.

      (2) It should be demonstrated that lysine residues on small G-proteins are indeed targeted by Lfat1. Ideally, the functional consequences of these modifications should also be investigated. For example, does fatty acylation of G-proteins affect GTPase activity or binding to downstream effectors?

      (3) Line 138: Can the authors clarify whether the Lfat1 ABD induces bundling of F-actin filaments or promotes actin oligomerization? Does the Lfat1 ABD form multimers that bring multiple filaments together? If Lfat1 induces actin oligomerization, this effect should be experimentally tested and reported. Additionally, the impact of Lfat1 binding on actin filament stability should be assessed. This is particularly important given the proposed use of the ABD as an actin probe.

      (4) Line 180: I think it's too premature to refer to the interaction as having "high specificity and affinity." We really don't know what else it's binding to.

      (5) The authors should reconsider the color scheme used in the structural figures, particularly in Figures 2D and S4.

      (6) In Figure 3E, the WT curve fits the data poorly, possibly because the actin concentration exceeds the Kd of the interaction. It might fit better to a quadratic.

      (7) The authors propose that the individual helices of the Lfat1 ABD could be expressed on separate proteins and used to target multi-component biological complexes to F-actin by genetically fusing each component to a split alpha-helix. This is an intriguing idea, but it should be tested as a proof of concept to support its feasibility and potential utility.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      Mollá-Albaladejo et al. investigate the neurons downstream of GR64f and Gr66a, called G2Ns. They identify downstream neurons using trans-Tango labeling with RFP and then perform bulk RNA-seq on the RFP-sorted cells. Gene expression is up- or downregulated between the cell populations and between fed and starved states. They specifically identify Leukocinin as a neuropeptide that is upregulated in starved Gr66a cells. Leucokinin cells, identified by a GAL4 line indeed show higher expression when starved, especially in the SEZ. Furthermore, Leucokinin cells colocalize with the transTango signal from downstream neurons of both GRs. This connection is confirmed with GRASP. According to EM data, Leucokinin cells in the SEZ receive a lot of input and connect to many downstream neurons. In behavior experiments performed with flies lacking Leucokinin neurons, flies show reduced responsiveness to sugar and bitter mixtures when starved. The authors suggest that Leucokinin neurons integrate bitter and sugar tastes and that their output is modified by a hunger state.

      Strengths:

      The authors use a multitude of tools to identify SELK neurons downstream of taste sensory neurons and as starvation-sensitive cells. This study provides an example of how combining genetic labeling, RNA-seq, and EM analysis can be combined to investigate neural circuits.

      Weaknesses:

      The authors do not show a functional connection between sensory neurons and SELK neurons. Additionally, data from RNA seq, anatomical studies, and EM analysis are sometimes contradictory in terms of connectivity. GRASP signal is not foolproof that cells are synaptically connected.

      We appreciate the reviewer’s comments. Unfortunately, we have not successfully demonstrated a functional response of SELK neurons using in vivo calcium imaging with UAS-GCaMP7 (we tried f, m, and s versions), primarily due to challenges in obtaining stable signals. We stimulated GRNs using sucrose, caffeine, or a mixture of both, and maybe even if the concentrations were high, they were not enough to induce a response.

      Regarding GRASP, we acknowledge its limitations as a standalone technique for establishing genuine synaptic connections between neurons, as some signals may reflect false positives resulting from the mere proximity of the candidate neurons. To strengthen our findings, we complemented these results by demonstrating the positive colocalization of the Leucokinin antibody signal over the Gr66aGal4>trans-TANGO and Gr64f-Gal4>trans-TANGO (Figure 4), confirming that Leucokinin neurons are indeed postsynaptic to both sweet and bitter GRNs. Moreover, we incorporated BacTrace data to highlight the direct connectivity between sweet and bitter GRNs (now Figure 5E).

      In the revised manuscript, we have introduced the active-GRASP technique (Macpherson et al., 2015). In this version of GRASP, the presynaptic half of GFP (GFP 1-10) is fused to synaptobrevin, which becomes accessible in the membrane of the presynaptic neuron within the synaptic cleft upon presynaptic stimulation (in our case, by stimulating with sucrose sweet Gr64f<sup>GRNs</sup> and with caffeine the bitter Gr66a<sup>GRNs</sup>). Utilizing this technique, we successfully demonstrated (see new Figure 5B and 5D) that when presented with water, no signal was detected in the Gr66a-LexA, Lk-Gal4 > active-GRASP, or Gr64f-LexA, Lk-Gal4 > active-GRASP transgene flies. However, in the presence of caffeine, Gr66aLexA, Lk-Gal4 > active-GRASP transgene flies exhibited a clear signal in the SEZ, and similarly, sucrose presentation to Gr64f-LexA, Lk-Gal4 > active-GRASP transgene flies yielded a detectable signal. The results obtained from active-GRASP provide additional evidence supporting the connectivity between SELK neurons and both Gr64f<sup>GRNs</sup> and Gr66a<sup>GRNs</sup>, further indicating the functional connectivity of the GRNs and SELK neurons.

      The authors describe a behavioral phenotype when flies are starved, however, they do not use a specific driver for the described cell type, thus they should also tone down their claims.

      We agree with the reviewer that the Lk-Gal4 driver line used labels SELK, LHLK, and ABLK neurons. The behavior examined in this paper, the Proboscis Extension Response (PER), measures the initiation of feeding. Although the neural circuit involved in this behavior is primarily confined to the SEZ where SELK neurons are located, we cannot rule out the possibility that other Lk neurons may also play a role in the process. To restrict expression of the Tetanus Toxin, we have utilized the tsh-Gal80 (Clyne et al., 2008) transgene in combination with the Lk-Gal4>UAS-TNT and Lk-Gal4>UAS-TNT<sup>imp</sup> constructs to prevent the expression of the Tetanus Toxin in ABLK neurons, thereby restricting its expression to the SELK and LHLK neurons in the central brain. The new results (Sup Figure 7A) indicate that ABLK neurons do not play a role in integrating sweet and bitter information. However, we acknowledge the reviewer's point that we are still silencing LHLK neurons, so we have adjusted our claims to align more closely with our data

      Generally, the authors do not provide a big advancement to the field and some of the results are contradictory with previous publications.

      We believe our work does not contradict previous findings, nor does it invalidate the role of ABLK neurons in water homeostasis or the role of LHLK neurons in regulating sleep via starvation. We provide additional information on the possible role of SELK neurons in integrating gustatory information. The location of SELK neurons in the SEZ suggests that they may play a role in feeding behavior, and we have demonstrated that these neurons are indeed involved in integrating gustatory information to influence feeding decisions. We consider we have contributed by highlighting a new role for the Leucokinin neuropeptide in feeding behavior.

      Reviewer #2 (Public review):

      Summary:

      A core task of the brain is processing sensory cues from the environment. The neural mechanisms of how sensory information is transmitted from peripheral sense organs to subsequent being processing in defined brain centers remain an important topic in neuroscience. The taste system hereby assesses the palatability of food by evaluating the chemical composition and nutrient content while integrating the current need for energy by assessing the satiation level of the organism. The current manuscript provides insights into the early circuits of gustatory coding using the fruit fly as a model. By combining trans-tango and FACS- based bulk RNAseq to assess the target neurons of sweet sensing (using Gr64fGal4) and bitter sensing (using Gr66a-Gal4) in a first set of experiments the authors investigate genes that are differentially expressed or co-expressed in normal and starved conditions. With a focus on neuropeptides and neurotransmitters, different expressions in the different conditions were assessed resulting in the identification of Leucokinin as a potentially interesting gene. The notion is further supported by RNAseq of Lk- Gal4>mCD8:GFP sorted cells and immunostainings. GRASP and BacTrace experiments further support that the two Lk- expressing cells in the SEZ should indeed be postsynaptic to both types of sensories. Using EM-based connectomics data (based on a previous publication by Engert et al.), the authors also look for downstream targets of the bitter versus sweet gustatory neurons to identify the Lk-neurons. Based on the morphology they identify candidates and further depict the potential downstream neurons in the connectome, which appears largely in agreement with GRASP experiments. Finally silencing the Lk- neurons shows an increased PER response in starved flies (when combined with bitter compounds) as well as increased feeding neurons shows an increased PER response in starved flies (when combined with bitter compounds) as well as increased feeding in a FlyPad assay. Strengths:

      Overall this is an intriguing manuscript, which provides insight into the organization of 2nd order gustatory neurons. It specifically provides strong evidence for the Lk-neurons as a target of sweet and bitter GRNs and provides evidence for their role in regulating sweet vs bitter-based behavioral responses. Particularly the integration of different techniques and datasets in an elegant fashion is a strong side of the manuscript. Moreover to put the known LK-neurons into the context of 2nd order gustatory signalling is strengthening the knowledge about this pathway.

      Weaknesses:

      I do not see any major weakness in the current manuscript. Novelty is to some degree lessened by the fact, that the RNAseq approach did not identify new neurons but rather put the known LK-neurons as major findings. Similarly, the final behavioral section is not very deep and to some degree corroborates the previous publication by the Keene and Nässel labs - that said, the model they propose is indeed novel (but lacks depth in analyses; e.g. there is no physiology that would support the modulation of Lk neurons by either type of GRN). The connectomic section appears a bit out of place and after reading it it's not really clear what one should make of the potential downstream neurons (particularly since the Lk-receptor expression has been previously analyzed); here it might have been interesting to address if/how Lk-neurons may signal directly via a classical neurotransmitter (an information that might be found easily in the adult brain single-cell data).

      We thank the reviewer for the comment. Indeed, we attempted in vivo Ca imaging but were unsuccessful. We have rewritten the connectomic section to better integrate it with the rest of the text and have reanalyzed the data obtained. We considered gathering data from the single-cell adult dataset, but this dataset includes the entire adult fly brain, encompassing SELK and LHLK neurons, making it impossible to differentiate between the two types of Lk neurons. Any further analysis will require transcriptomic analysis of SELK via scRNAseq under the different metabolic conditions tested in this study work.

      Reviewer #3 (Public review):

      Summary:

      To make feeding decisions, animals need to process three types of information: positive cues like sweetness, negative cues like bitterness, and internal states such as hunger or satiety. This study aims to identify where the information is integrated into the fruit fly brain. The authors applied RNA sequencing on second-order gustatory neurons responsible for sweet and bitter processing, under fed and starved conditions. The sequencing data reveal significant changes in gene expression across sweet vs. bitter pathways and fed vs. starved states. The authors focus on the neuropeptide Leucokinin (Lk), whose expression is dependent on the starvation state. They identify a pair of neurons, named SELK neurons, which express Lk and receive direct input from both sweet and bitter gustatory neurons. These SELK neurons are ideal candidates to integrate gustatory and internal state information. Behavioral experiments show that blocking these neurons in starved flies alters their tolerance to bitter substances during feeding.

      Strengths:

      (1) The study employs a well-designed approach, targeting specific neuronal populations, which is more efficient and precise compared to traditional large-scale genetic screening methods.

      (2) The RNAseq results provide valuable data that can be utilized in future studies to explore other molecules beyond Lk.

      (3) The identification of SELK neurons offers a promising avenue for future research into how these neurons integrate conflicting gustatory signals and internal state information.

      Weaknesses:

      (1) Unfortunately, due to technical challenges, the authors were unable to directly image the functional activity of SELK neurons.

      (2) In the behavioral experiments, tetanus toxin was used to block SELK neurons. Since these neurons may release multiple neurotransmitters or neuropeptides, the results do not specifically demonstrate that Leucokinin (Lk) is the critical factor, as suggested in Figure 8. To address this, I recommend using RNAi to inhibit Lk expression in SELK neurons and comparing the outcomes to wild-type controls via the PER assay.

      We appreciate the author's comments and suggestions. As noted, Tetanus Toxin silences the neuron’s activity, affecting the functioning of various neurotransmitters and neuropeptides released by the targeted neuron. In response to the reviewer's recommendation, we employed an RNAi line specifically designed to silence Leucokinin production in Lk-expressing neurons.

      The results presented in Supplementary Figure 7B demonstrate that knocking down Leucokinin in Lk neurons significantly reduces the flies' tolerance to caffeine in sweet food.

      It is crucial to highlight that the sucrose concentration used in Figure 7C was 50mM, whereas in Supplementary Figure 7B, it was increased to 100mM. This adjustment was necessary because the Lk-Gal4, UAS-RNAi, and Lk-Gal4>UAS-RNAi transgenic lines exhibited reduced sensitivity to sucrose compared to the Lk-Gal4>UAS-TNT or Lk-Gal4>UAS-TNT<sup>imp</sup> lines. We aimed to establish a sucrose concentration that would elicit a 50% Proboscis Extension Response (PER) without adding any other compound, thereby allowing us to evaluate the additional effect of caffeine in the food.

      However, according to the data derived from the connectome, SELK neurons might be cholinergic, and this neurotransmitter might be involved in controlling also the behavior of the flies.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      To get more evidence for connections between sensory cells and SELK neurons, could the authors also analyze a second available EM data set? Would setting a different threshold (>5 synapses) reveal connections to both sensories? Comparisons between SELK in- and outputs from EM data and Tango labeling also seem to differ quite a lot based on provided images - can the authors count cell bodies in the stainings? Further proof would be to provide functional imaging data that shows that SELK neurons respond to sugar and bitter compounds.

      In this study, we utilized the recently published EM dataset for the Drosophila central brain connectome (Dorkenwald et al., 2024; Flywire.ai). Changing the number of synapses affects the counts of pre- and postsynaptic neurons. We set a threshold of more than five synapses, as recommended by Flywire, to avoid false positives (Dorkenwald et al., 2024). This threshold has been widely used in recent papers (Engert et al., 2022; Shiu et al., 2022; Walker et al., 2025).

      The neuron counts in the connectomic data differ from those in the trans- and retro-TANGO experiments. In our initial trans-TANGO experiment, which labeled postsynaptic neurons in the Gr64fGal4 and Gr66a-Gal4 transgenic lines, we counted the labeled neurons (see Supplementary Figure 1C) and observed considerable variability between different brains. Due to anticipated variability, we did not count the labeled neurons from trans-TANGO and retro-TANGO techniques in the Leucokinin neurons. Furthermore, neither technique labels all postsynaptic or presynaptic neurons, respectively. A recent study on the retro-TANGO technique (Sorkac et al., 2023) found a minimum threshold: the presynaptic neuron must form a certain number of synapses with the neuron of interest to be adequately labeled. According to this paper, the established threshold is 17 synapses. It is likely that the trans-TANGO technique also has a threshold relating to the number of labeled neurons, contingent on the synapse count. This would explain the discrepancy between the two results.

      Unfortunately, we have not been able to provide functional data pointing to the activation of SELK neurons by sucrose or caffeine. However, our active-GRASP data indicates that the connectivity between Gr64f<sup>GRNs</sup> and Gr66a<sup>GRNs</sup> with SELK neurons is present and functional.

      How many Leucokinin-positive cells are in the SEZ? Does the RNA-seq data provide further information about the SELK neurons? Potential receptor candidates for how they integrate hunger signals? AMPKa was described to be required in LHLK neurons.

      There are two SELK neurons in the SEZ. Due to the nature of our bulk RNA sequencing (RNAseq), we cannot link any additional gene expressions detected in our transcriptomic analysis specifically to the SELK neurons regarding the integration of various signaling processes. Furthermore, the single-cell RNA sequencing (scRNAseq) data available from the Drosophila brain, as reported by Li et al. (2022), does not allow accurate differentiation between SELK and LHLK neurons. To understand how these neurons integrate both metabolic and sensory information, it is crucial to conduct a focused RNAseq study specifically on the SELK neurons to understand how these neurons integrate both metabolic and sensory information. This targeted analysis would provide the necessary insights to elucidate their functional roles better. However, according to the data derived from the connectome, SELK neurons might be cholinergic, and this neurotransmitter might be involved in controlling also the behavior of the flies.

      According to previous studies (Yurgel et al., 2019), the Lk-GAL4 line is also expressed in the VNC, thus the authors could make use of the tsh-GAL80 tool to clean up the line. This study also performed GCaMP imaging in fed and 24h starved animals in SELK and couldn't find a difference, can the authors explain this discrepancy?

      We thank the reviewer for this suggestion. We have now added a new piece of data using the tsh-Gal80 transgene in our PER experiments (Supplementary Figure 7A). Blocking the expression of TNT in the ABLK neurons does not affect the main conclusion of the behavioral results. As stated previously, we were unable to obtain in vivo Ca imaging responses in SELK neurons upon exposure to sucrose, caffeine, or mixtures of sucrose and caffeine. We do not believe this is a discrepancy with previous works like Yurgel et al., 2019. It is likely that we faced technical issues regarding expression stability and that the stimulation was possibly too weak to detect changes in GFP levels

      Reviewer #2 (Recommendations for the authors):

      As mentioned above I do not have any major comments on the manuscript, but there are a few points that I feel should be considered:

      (1) The identification of the Lk-candidate neurons in the connectome remains a bit mysterious. In the method sections, this reads as follows "manual and visual criteria were applied to identify the neurons of interest ". a) What precisely was done to get to the candidates?b) Are there alternative candidates that may be Lk-neurons? c) How would another neuron affect the conclusion of the downstream analysis?

      We thank the reviewer for this comment. We have now modified and added new information in the connectomic section, reinforcing our conclusions and correcting the results obtained.

      Our GRASP, BacTRace, and immunohistochemistry experiments pointed to SELK neurons as postsynaptic to both Gr64f<sup>GRNs</sup> (sweet) and Gr66a<sup>GRNs</sup> (bitter). To identify which neurons in the connectome could be the SELK neurons, we utilized a previously described set of GRNs already identified in the connectome (Shiu et al., 2022). We extracted all postsynaptic neurons to the sweet and bitter GRNs identified and intersected both datasets, retaining only those candidate hits receiving simultaneous input from sweet and bitter GRNs. This process yielded a total of 333 hits. Through visual inspection, we discarded all hits that were merely neuronal fragments or neurons that clearly were not our candidates. We narrowed the list down to a final set of 17 candidate neurons whose arborization was located in the SEZ. We reduced the candidates to two final entries from this list: ID 720575940623529610 (GNG.276) and ID 720575940630808827 (GNG.685). The GNG.276 neuron had a counterpart in the SEZ identified as GNG.246. Both of these neurons were annotated as DNg70 in the Flywire database. GNG.685 had a counterpart identified as GNG.595, and these two neurons were classified as DNg68. In both cases, the neuronal candidates, DNg70 and DNg68, were classified as descending neurons, a characteristic of previously described SELK neurons (Nässel et al., 2021). In our initial analysis published in bioRxiv and sent for revision, we identified DNg70 as potentially the SELK neurons based solely on the morphology of the neurons via visual inspection. However, we employed a better method to determine which candidate is more likely to be the SELK neurons, concluding that DNg68, rather than DNg70, represents the SELK neurons. Briefly, we performed an immunohistochemistry for GFP in the Lk-Gal4>UAS-CD8:GFP flies. We aligned the resulting image in a Drosophila reference brain (JRC2018 U) using the CMTK Registration plugin in ImageJ. The resulting image was skeletonized using the Single Neurite Tracer plugin in ImageJ and later uploaded to the Flywire Gateway platform to compare the structure of the aligned and skeletonized SELK neurons to our candidates. This comparison clearly indicated that the DNg68 neurons are the best candidates for representing the SELK neurons, rather than DNg70. We have updated the text and Figures 6 and Supplementary Figure 6 to reflect the new results. These new results do not alter the conclusions of the paper.

      (2) In the transcriptomic experiments It seems that the raw transcripts are reporters, rather than normalised data. Why?

      All transcriptomic data is normalized. In Figure 1 the differential expression was calculated using Deseq2 normalized counts. In Figure 2, Transcripts Per Million (TPM) were calculated using the Salmon package and normalized for the gene length.

      (3) The expression of nAChRbeta1 in the transcriptomic data is rather striking. However, this remains currently not addressed: is this expression real?

      We have not confirmed the upregulation or downregulation in gene expression for other but for Leucokinin, which is our main interest. We found the presence of nAChRbeta1 interesting, as GRNs are cholinergic (Jaeger et al., 2018), suggesting that it would make sense to find cholinergic receptors in G2Ns. However, it is possible that these receptors are expressed in all G2Ns and serve as a common means of communication.

      (4) The description of the behavioural experiments in the results section is rather brief. I had a hard time following it since the genotypes are not repeated nor is it stated what is different in the experimental group vs control (but instead simply what changes in the experimental group, in a rather discussion-like fashion).

      We thank the reviewer for the comment, we have rewritten this section to improve its clarity.

      (5) If I understand the genetics for the behavioural experiments correctly it addresses the entire Lk-Gal4 expressing population, thus it is not possible to describe the role of the two SEZ neurons, but rather LkGal4 neurons. This should be clarified.

      We thank the reviewer for this comment. Indeed, the Lk-Gal4 driver we used drives expression in all Leucokinin neurons, making it impossible to distinguish between the SELK, LHLK, or ABLK neurons. We have added a new piece of behavioral data by using the tsh-Gal80 transgene to prevent the expression of TNT in the ABLK neurons (Supplementary Figure 7A), but still we cannot distinguish between SELK and LHLK. We have rewritten the text to clarify this fact.

      Reviewer #3 (Recommendations for the authors):

      Overall, the manuscript is well-written, I only have one minor suggestion for improvement. In Figure 8C, please clarify the use of TNT to block Lk release.

      We thank the reviewer for the comment, we have clarified the use of TNT in the text.

      References Clyne, J. D. & Miesenböck, G. Sex-Specific Control and Tuning of the Pattern Generator for Courtship Song in Drosophila. Cell 133, 354–363 (2008).

      Dorkenwald, S. et al. Neuronal wiring diagram of an adult brain. Nature 634, 124–138 (2024).

      Engert, S., Sterne, G. R., Bock, D. D. & Scott, K. Drosophila gustatory projections are segregated by taste modality and connectivity. Elife 11, e78110 (2022).

      Jaeger, A. H. et al. A complex peripheral code for salt taste in Drosophila. Elife 7, e37167 (2018).

      Macpherson, L. J. et al. Dynamic labelling of neural connections in multiple colours by trans-synaptic fluorescence complementation. Nat Commun 6, 10024 (2015).

      Nässel, D. R. Leucokinin and Associated Neuropeptides Regulate Multiple Aspects of Physiology and Behavior in Drosophila. Int J Mol Sci 22, 1940 (2021).

      Shiu, P. K., Sterne, G. R., Engert, S., Dickson, B. J. & Scott, K. Taste quality and hunger interactions in a feeding sensorimotor circuit. eLife 11, e79887 (2022).

      Walker, S. R., Peña-Garcia, M. & Devineni, A. V. Connectomic analysis of taste circuits in Drosophila. Sci. Rep. 15, 5278 (2025).

    1. Author response:

      Reviewer #1:

      As this code was developed for use with a 4096 electrode array, it is important to be aware of double-counting neurons across the many electrodes. I understand that there are ways within the code to ensure that this does not happen, but care must be taken in two key areas. Firstly, action potentials traveling down axons will exhibit a triphasic waveform that is different from the biphasic waveform that appears near the cell body, but these two signals will still be from the same neuron (for example, see Litke et al., 2004 "What does the eye tell the brain: Development of a System for the Large-Scale Recording of Retinal Output Activity"; figure 14). I did not see anything that would directly address this situation, so it might be something for you to consider in updated versions of the code.

      We thank the reviewer for this insightful comment. We agree that signals from the same neuron may be collected by adjacent channels. To address this concern in our software, we plan to add a routine to SpikeMAP that allows users to discard nearby channels where spike count correlations exceed a pre-determined threshold. Because there is no ground truth to map individual cells to specific channels on the hd-MEA, a statistical approach is warranted.

      Secondly, spike shapes are known to change when firing rates are high, like in bursting neurons (Harris, K.D., Hirase, H., Leinekugel, X., Henze, D.A. & Buzsáki, G. Temporal interaction between single spikes and complex spike bursts in hippocampal pyramidal cells. Neuron 32, 141-149 (2001)). I did not see this addressed in the present version of the manuscript.

      This is a valid concern. To ensure that firing rates are relatively constant over the duration of a recording, we will plot average spike rates using rolling windows of a fixed duration. We expect that population firing rates will remain relatively stable across the duration of recordings.

      Another area for possible improvement would be to build on the excellent validation experiments you have already conducted with parvalbumin interneurons. Although it would take more work, similar experiments could be conducted for somatostatin and vasoactive intestinal peptide neurons against a background of excitatory neurons. These may have different spike profiles, but your success in distinguishing them can only be known if you validate against ground truth, like you did for the PV interneurons.

      We agree that further cycles of experiments could be performed with SOM, VIP, and other neuronal subtypes, and we hope that researchers will take advantage of SpikeMAP too. We will clarify this possibility in the Discussion section of the manuscript.

      Reviewer #2:

      Summary:

      While I find that the paper is nicely written and easy to follow, I find that the algorithmic part of the paper is not really new and should have been more carefully compared to existing solutions. While the GT recordings to assess the possibilities of a spike sorting tool to distinguish properly between excitatory and inhibitory neurons are interesting, spikeMAP does not seem to bring anything new to state-of-the-art solutions, and/or, at least, it would deserve to be properly benchmarked. I would suggest that the authors perform a more intensive comparison with existing spike sorters.

      We thank the reviewer for this comment. As detailed in Table 1, SpikeMAP is the only method that performs E/I sorting on large-scale multielectrodes, hence a comparison to competing methods is not currently possible. That being said, many of the pre-processing steps of SpikeMAP (Figure 1) involve methods that are already well-established in the literature and available under different packages. To highlight the contribution of our work and facilitate the adoption of SpikeMAP, we plan to provide a “modular” portion of SpikeMAP that is specialized in performing E/I sorting and can be added to the pipeline of other packages such as KiloSort more clearly.  This modularized version of the code will be shared freely along with the more complete version already available.

      Weaknesses:

      (1) The global workflow of spikeMAP, described in Figure 1, seems to be very similar to that of Hilgen et al. 2020 (10.1016/j.celrep.2017.02.038). Therefore, the first question is what is the rationale of reinventing the wheel, and not using tools that are doing something very similar (as mentioned by the authors themselves). I have a hard time, in general, believing that spikeMAP has something particularly special, given its Methods, compared to state-of-the-art spike sorters.

      We agree with the reviewers that there are indeed similarities between our work and the Hilgen et al. paper. However, while the latter employs optogenetics to stimulate neurons on a large-scale array, their technique does not specifically target inhibitory (e.g., PV) neurons as described in our work. We will clarify our paper accordingly.

      This is why, at the very least, the title of the paper is misleading, because it lets the reader think that the core of the paper will be about a new spike sorting pipeline. If this is the main message the authors want to convey, then I think that numerous validations/benchmarks are missing to assess first how good spikeMAP is, with reference to spike sorting in general, before deciding if this is indeed the right tool to discriminate excitatory vs inhibitory cells. The GT validation, while interesting, is not enough to entirely validate the paper. The details are a bit too scarce for me, or would deserve to be better explained (see other comments after).

      The title of our work will be edited to make it clear that while elements of the pipeline are well-established and available from other packages, we are the first to extend this pipeline to E/I sorting on large-scale arrays.

      (2) Regarding the putative location of the spikes, it has been shown that the center of mass, while easy to compute, is not the most accurate solution [Scopin et al, 2024, 10.1016/j.jneumeth.2024.110297]. For example, it has an intrinsic bias for finding positions within the boundaries of the electrodes, while some other methods, such as monopolar triangulation or grid-based convolution, might have better performances. Can the authors comment on the choice of the Center of Mass as a unique way to triangulate the sources?

      We agree with the reviewer and will point out limits of the center-of-mass algorithm based on the article of Scopin et al (2024). Further, we will augment the existing code library to include monopolar triangulation or grid-based convolution as options available to end-users.

      (3) Still in Figure 1, I am not sure I really see the point of Spline Interpolation. I see the point of such a smoothing, but the authors should demonstrate that it has a key impact on the distinction of Excitatory vs. Inhibitory cells. What is special about the value of 90kHz for a signal recorded at 18kHz? What is the gain with spline enhancement compared to without? Does such a value depend on the sampling rate, or is it a global optimum found by the authors?

      We will clarify these points. Specifically, the value of 90kHz was chosen because it provided a reasonable temporal characterization of spikes; this value, however, can be adjusted within the software based on user preference.

      (4) Figure 2 is not really clear, especially panel B. The choice of the time scale for the B panel might not be the most appropriate, and the legend filtered/unfiltered with a dot is not clear to me in Bii.

      We will re-check Fig.2B which seems to have error in rendering, likely due to conversion from its original format.

      In panel E, the authors are making two clusters with PCA projections on single waveforms. Does this mean that the PCA is only applied to the main waveforms, i.e. the ones obtained where the amplitudes are peaking the most? This is not really clear from the methods, but if this is the case, then this approach is a bit simplistic and does not really match state-of-the-art solutions. Spike waveforms are quite often, especially with such high-density arrays, covering multiple channels at once, and thus the extracellular patterns triggered by the single units on the MEA are spatio-temporal motifs occurring on several channels. This is why, in modern spike sorters, the information in a local neighbourhood is often kept to be projected, via PCA, on the lower-dimensional space before clustering. Information on a single channel only might not be informative enough to disambiguate sources. Can the authors comment on that, and what is the exact spatial resolution of the 3Brain device? The way the authors are performing the SVD should be clarified in the methods section. Is it on a single channel, and/or on multiple channels in a local neighbourhood?

      Here, the reviewer is suggesting that it may be better to perform PCA on several channels at once, since spikes can occur at several channels at the same time. To address this concern, small routine will be written allowing users to choose how many nearby channels to be selected for PCA.

      (5) About the isolation of the single units, here again, I think the manuscript lacks some technical details. The authors are saying that they are using a k-means cluster analysis with k=2. This means that the authors are explicitly looking for 2 clusters per electrode? If so, this is a really strong assumption that should not be held in the context of spike sorting, because, since it is a blind source separation technique, one cannot pre-determine in advance how many sources are present in the vicinity of a given electrode. While the illustration in Figure 2E is ok, there is no guarantee that one cannot find more clusters, so why this choice of k=2? Again, this is why most modern spike sorting pipelines do not rely on k-means, to avoid any hard-coded number of clusters. Can the authors comment on that?

      It is true that k=2 is a pre-determined choice in our software. In practice, we found that k>2 leads to poorly defined clusters. However, we will ensure that this parameter can be adjusted in the software. Furthermore, if the user chooses not to pre-define this value, we will provide the option to use a Calinski-Harabasz criterion to select k.

      (6) I'm surprised by the linear decay of the maximal amplitude as a function of the distance from the soma, as shown in Figure 2H. Is it really what should be expected? Based on the properties of the extracellular media, shouldn't we expect a power law for the decay of the amplitude? This is strange that up to 100um away from the soma, the max amplitude only dropped from 260 to 240 uV. Can the authors comment on that? It would be interesting to plot that for all neurons recorded, in a normed manner V/max(V) as function of distances, to see what the curve looks like.

      We share the reviewer’s concern and will add results that include a population of neurons to assess the robustness of this phenomenon.

      (7) In Figure 3A, it seems that the total number of cells is rather low for such a large number of electrodes. What are the quality criteria that are used to keep these cells? Did the authors exclude some cells from the analysis, and if yes, what are the quality criteria that are used to keep cells? If no criteria are used (because none are mentioned in the Methods), then how come so few cells are detected, and can the authors convince us that these neurons are indeed "clean" units (RPVs, SNRs, ...)?

      We applied stringent criteria to exclude cells, and we will revise the main text to be clear about these criteria, which include a minimum spike rate and the use of LDA to separate out PCA clusters. For the cells that were retained, we will include SNR estimates.

      (8) Still in Figure 3A, it looks like there is a bias to find inhibitory cells at the borders, since they do not appear to be uniformly distributed over the MEA. Can the authors comment on that? What would be the explanation for such a behaviour? It would be interesting to see some macroscopic quantities on Excitatory/Inhibitory cells, such as mean firing rates, averaged SNRs... Because again, in Figure 3C, it is not clear to me that the firing rates of inhibitory cells are higher than Excitatory ones, whilst they should be in theory.       

      We will include a comparison of firing rates for E and I neurons. It is possible that I cells are located at the border of the MEA due to the site of injections of the viral vector, and not because of an anatomical clustering of I cells per se. We will clarify the text accordingly.

      (9) For Figure 3 in general, I would have performed an exhaustive comparison of putative cells found by spikeMAP and other sorters. More precisely, I think that to prove the point that spikeMAP is indeed bringing something new to the field of spike sorting, the authors should have compared the performances of various spike sorters to discriminate Exc vs Inh cells based on their ground truth recordings. For example, either using Kilosort [Pachitariu et al, 2024, 10.1038/s41592-024-02232-7], or some other sorters that might be working with such large high-density data [Yger et al, 2018, 10.7554/eLife.34518].

      As mentioned previously, Kilosort and related approaches do not address the problem of E/I identification (see Table 1). However, they do have pre-processing steps in common with SpikeMAP. We will add some specific comparison points – for instance, the use of k-means and PCA (which is more common across packages) and the use of cubic spline interpolation (which is less common). Further, we will provide a stand-alone E/I sorting module that can be added to the pipeline of other packages, so that users can use this functionality without having to migrate their entire analysis.

      (10) Figure 4 has a big issue, and I guess the panels A and B should be redrawn. I don't understand what the red rectangle is displaying.

      We apologize for this issue. It seems there was a rendering problem when converting the figure from its original format. We will address this issue in the revised version of the manuscript.

      (11) I understand that Figure 4 is only one example, but I have a hard time understanding from the manuscript how many slices/mice were used to obtain the GT data? I guess the manuscript could be enhanced by turning the data into an open-access dataset, but then some clarification is needed. How many flashes/animals/slices are we talking about? Maybe this should be illustrated in Figure 4, if this figure is devoted to the introduction of the GT data.

      We will mention how many flashes/animals/slices were employed in the GT data and provide open access to these data.

      (12) While there is no doubt that GT data as the ones recorded here by the authors are the most interesting data from a validation point of view, the pretty low yield of such experiments should not discourage the use of artificially generated recordings such as the ones made in [Buccino et al, 2020, 10.1007/s12021-020-09467-7] or even recently in [Laquitaine et al, 2024, 10.1101/2024.12.04.626805v1]. In these papers, the authors have putative waveforms/firing rate patterns for excitatory and inhibitory cells, and thus, the authors could test how good they are in discriminating the two subtypes.

      We thank the reviewer for the suggestion that SpikeMAP could be tested on artificially generated spike trains and will add the citation of the two papers mentioned. We hope future efforts will employ SpikeMAP on both synthetic and experimental data to explore the neural dynamics of E and I neurons in healthy and pathological circuits of the brain.

    2. Reviewer #2 (Public review):

      Summary:

      In this paper, entitled "SpikeMAP: An unsupervised spike sorting pipeline for cortical excitatory and inhibitory 2 neurons in high-density multielectrode arrays with ground-truth validation", the authors present spikeMAP, a pipeline for the analysis of large-scale recordings of in vitro cortical activity. According to the authors, spikeMAP not only allows for the detection of spikes produced by single neurons (spike sorting), but also allows for the reliable distinction between genetically determined cell types by utilizing viral and optogenetic strategies as ground-truth validation. While I find that the paper is nicely written and easy to follow, I find that the algorithmic part of the paper is not really new and should have been more carefully compared to existing solutions. While the GT recordings to assess the possibilities of a spike sorting tool to distinguish properly between excitatory and inhibitory neurons are interesting, spikeMAP does not seem to bring anything new to state-of-the-art solutions, and/or, at least, it would deserve to be properly benchmarked. I would suggest that the authors perform a more intensive comparison with existing spike sorters.

      Strengths:

      The GT recordings with optogenetic activation of the cells, based on the opsins, is interesting and might provide useful data to quantify how good spike sorting pipelines are, in vitro, to discriminate between excitatory and inhibitory neurons. Such an approach can be quite complementary to artificially generated ground truth.

      Weaknesses:

      (1) The global workflow of spikeMAP, described in Figure 1, seems to be very similar to that of Hilgen et al. 2020 (10.1016/j.celrep.2017.02.038). Therefore, the first question is what is the rationale of reinventing the wheel, and not using tools that are doing something very similar (as mentioned by the authors themselves). I have a hard time, in general, believing that spikeMAP has something particularly special, given its Methods, compared to state-of-the-art spike sorters. This is why, at the very least, the title of the paper is misleading, because it lets the reader think that the core of the paper will be about a new spike sorting pipeline. If this is the main message the authors want to convey, then I think that numerous validations/benchmarks are missing to assess first how good spikeMAP is, with reference to spike sorting in general, before deciding if this is indeed the right tool to discriminate excitatory vs inhibitory cells. The GT validation, while interesting, is not enough to entirely validate the paper. The details are a bit too scarce for me, or would deserve to be better explained (see other comments after).

      (2) Regarding the putative location of the spikes, it has been shown that the center of mass, while easy to compute, is not the most accurate solution [Scopin et al, 2024, 10.1016/j.jneumeth.2024.110297]. For example, it has an intrinsic bias for finding positions within the boundaries of the electrodes, while some other methods, such as monopolar triangulation or grid-based convolution,n might have better performances. Can the authors comment on the choice of the Center of Mass as a unique way to triangulate the sources?

      (3) Still in Figure 1, I am not sure I really see the point of Spline Interpolation. I see the point of such a smoothing, but the authors should demonstrate that it has a key impact on the distinction of Excitatory vs. Inhibitory cells. What is special about the value of 90kHz for a signal recorded at 18kHz? What is the gain with spline enhancement compared to without? Does such a value depend on the sampling rate, or is it a global optimum found by the authors?

      (4) Figure 2 is not really clear, especially panel B. The choice of the time scale for the B panel might not be the most appropriate, and the legend filtered/unfiltered with a dot is not clear to me in Bii. In panel E, the authors are making two clusters with PCA projections on single waveforms. Does this mean that the PCA is only applied to the main waveforms, i.e. the ones obtained where the amplitudes are peaking the most? This is not really clear from the methods, but if this is the case, then this approach is a bit simplistic and does not really match state-of-the-art solutions. Spike waveforms are quite often, especially with such high-density arrays, covering multiple channels at once, and thus the extracellular patterns triggered by the single units on the MEA are spatio-temporal motifs occurring on several channels. This is why, in modern spike sorters, the information in a local neighbourhood is often kept to be projected, via PCA, on the lower-dimensional space before clustering. Information on a single channel only might not be informative enough to disambiguate sources. Can the authors comment on that, and what is the exact spatial resolution of the 3Brain device? The way the authors are performing the SVD should be clarified in the methods section. Is it on a single channel, and/or on multiple channels in a local neighbourhood?

      (5) About the isolation of the single units, here again, I think the manuscript lacks some technical details. The authors are saying that they are using a k-means cluster analysis with k=2. This means that the authors are explicitly looking for 2 clusters per electrode? If so, this is a really strong assumption that should not be held in the context of spike sorting, because, since it is a blind source separation technique, one can not pre-determine in advance how many sources are present in the vicinity of a given electrode. While the illustration in Figure 2E is ok, there is no guarantee that one can not find more clusters, so why this choice of k=2? Again, this is why most modern spike sorting pipelines do not rely on k-means, to avoid any hard-coded number of clusters. Can the authors comment on that?

      (6) I'm surprised by the linear decay of the maximal amplitude as a function of the distance from the soma, as shown in Figure 2H. Is it really what should be expected? Based on the properties of the extracellular media, shouldn't we expect a power law for the decay of the amplitude? This is strange that up to 100um away from the soma, the max amplitude only dropped from 260 to 240 uV. Can the authors comment on that? It would be interesting to plot that for all neurons recorded, in a normed manner V/max(V) as function of distances, to see what the curve looks like.

      (7) In Figure 3A, it seems that the total number of cells is rather low for such a large number of electrodes. What are the quality criteria that are used to keep these cells? Did the authors exclude some cells from the analysis, and if yes, what are the quality criteria that are used to keep cells? If no criteria are used (because none are mentioned in the Methods), then how come so few cells are detected, and can the authors convince us that these neurons are indeed "clean" units (RPVs, SNRs, ...)?

      (8) Still in Figure 3A, it looks like there is a bias to find inhibitory cells at the borders, since they do not appear to be uniformly distributed over the MEA. Can the authors comment on that? What would be the explanation for such a behaviour? It would be interesting to see some macroscopic quantities on Excitatory/Inhibitory cells, such as mean firing rates, averaged SNRs... Because again, in Figure 3C, it is not clear to me that the firing rates of inhibitory cells are higher than Excitatory ones, whilst they should be in theory.

      (9) For Figure 3 in general, I would have performed an exhaustive comparison of putative cells found by spikeMAP and other sorters. More precisely, I think that to prove the point that spikeMAP is indeed bringing something new to the field of spike sorting, the authors should have compared the performances of various spike sorters to discriminate Exc vs Inh cells based on their ground truth recordings. For example, either using Kilosort [Pachitariu et al, 2024, 10.1038/s41592-024-02232-7], or some other sorters that might be working with such large high-density data [Yger et al, 2018, 10.7554/eLife.34518].

      (10) Figure 4 has a big issue, and I guess the panels A and B should be redrawn. I don't understand what the red rectangle is displaying.

      (11) I understand that Figure 4 is only one example, but I have a hard time understanding from the manuscript how many slices/mices were used to obtain the GT data? I guess the manuscript could be enhanced by turning the data into an open-access dataset, but then some clarification is needed. How many flashes/animals/slices are we talking about? Maybe this should be illustrated in Figure 4, if this figure is devoted to the introduction of the GT data.

      (12) While there is no doubt that GT data as the ones recorded here by the authors are the most interesting data from a validation point of view, the pretty low yield of such experiments should not discourage the use of artificially generated recordings such as the ones made in [Buccino et al, 2020, 10.1007/s12021-020-09467-7] or even recently in [Laquitaine et al, 2024, 10.1101/2024.12.04.626805v1]. In these papers, the authors have putative waveforms/firing rate patterns for excitatory and inhibitory cells, and thus, the authors could test how good they are in discriminating the two subtypes.

    1. Note: This preprint has been reviewed by subject experts for Review Commons. Content has not been altered except for formatting.

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      Referee #1

      Evidence, reproducibility and clarity

      This manuscript presents a computational analysis of PRC1, a passive microtubule crosslinker important for cell division, with a focus on its role in resisting force generation within antiparallel bundles, whose sliding is promoted by active kinesin motors. Using a previously developed simulator and several assumptions, the authors successfully recapitulated the two modes of PRC1 sliding resistance - coasting and braking - that were previously observed in in vitro reconstruction assays. The simulation also reproduces the redistribution of PRC1 within the overlap region as microtubules transition into the braking mode, a phenomenon also observed experimentally. An interesting outcome of the simulation is the change in spacing between the microtubules: The distance narrows as the sliding polymers switch from the coasting to the breaking mode, associated with an increased tilt of PRC1.

      Major comments:

      I find that this manuscript makes a valuable contribution to the cytoskeletal community, as the role of interfilament spacing in polymer assembly has been relatively underexplored, except for more classic studies such as those on muscle contraction and flagellar beating. What I had difficulty fully visualizing the model was the behavior of PRC1 during the coasting and braking modes. In my understanding, if individual heads of PRC1 bind and unbind to and from microtubules while microtubules that they crosslink slide apart, PRC1 should experience greater stretching and thus tilt more at higher sliding speeds. When the sliding slows down, the relative polymer position changes less within a given time, and PRC1 unbinding and re-binding would more easily reset their tilt to an equilibrium angle. However, the authors' simulation shows the opposite: PRC1 exhibits a greater tilt during the braking mode. This seems counterintuitive and a more detailed description and interpretation would worth. I suggest that the authors include a schematic illustrating the configuration of individual PRC1 molecules (e.g., angle and stretch) within the ensemble, particularly during their transition phase. This would greatly help readers grasp how this important protein ensemble switches its mechanical mode depending on polymer sliding and geometry.

      Minor comments:

      1. How was the bimodal velocity distribution (Fig. 1D) obtained experimentally? Were the individual data averaged over time from the start to the end of individual sliding events? If so, does mode switching within a pair lead to under/over-estimate of the coasting and braking speeds?
      2. Line 158 includes typo.
      3. The fixed-separation simulation in Fig. 3D is important for demonstrating the causality. How was the average speed (V_avg) calculated in this case? Specifically, do microtubule pairs that slide at coasting mode maintain a high speed over the entire sliding event when the inter-filament spacing is fixed at a large distance?
      4. In my understanding, the attractive and repulsive lateral forces exerted by PRC1 with positive and negative tilts arise because PRC1 has a natural tilt relative to the perpendicular. Is this correct? It would be helpful to illustrate this assumption in a figure to clarify the molecular behavior being modelled.
      5. In the paragraph starting from line 258, the authors discuss Ase1 and the yeast spindles. What is the relevance to PRC1 particularly in considering that Ase1 exerts an entropic force within the confined microtubule bundles to resist sliding (e.g., Lasky et al., 2015)?
      6. Fig. 1B, C would benefit from additional labels, as the colors in the images do not match those in the accompanying cartoon.

      Significance

      As in my major comments above. My expertise is experimental biophysics on microtubules and motors.

    1. Reviewer #2:

      The study of Rollenhagen et al examines the ultrastructural features of Layer 1 of human temporal cortex. The tissue was derived from drug-resistant epileptic patients undergoing surgery, and was selected as further from the epilepsy focus, and as such considered to be non-epileptic. The analyses has included 4 patients with different age, sex, medication and onset of epilepsy. The manuscript is a follow-on study with 3 previous publications from the same authors on different layers of the temporal cortex:

      Layer 4 - Yakoubi et al 2019 eLife

      Layer 5 - Yakoubi et al 2019 Cerebral Cortex,

      Layer 6 - Schmuhl-Giesen et al 2022 Cerebral Cortex

      They find, the L1 synaptic boutons mainly have single active zone a very large pool of synaptic vesicles and are mostly devoid of astrocytic coverage.

      Strengths:

      The MS is well written easy to read. Result section gives a detailed set of figures showing many morphological parameters of synaptic boutons and surrounding glial elements. The authors provide comparative data of all the layers examined by them so far in the Discussion. Given that anatomical data in human brain are still very limited, the current MS has substantial relevance. The work appears to be generally well done, the EM and EM tomography images are of very good quality. The analyses is clear and precise.

      Weaknesses:

      The authors made all the corrections required and answered all of my concerns, included additional data sets, and clarified statements where needed.

    2. Author response:

      The following is the authors’ response to the previous reviews.

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The Authors investigated the anatomical features of the excitatory synaptic boutons in layer 1 of the human temporal neocortex. They examined the size of the synapse, the macular or the perforated appearance and the size of the synaptic active zone, the number and volume of the mitochondria, the number of the synaptic and the dense core vesicles, also differentiating between the readily releasable, the recycling and the resting pool of synaptic vesicles. The coverage of the synapse by astrocytic processes was also assessed, and all the above parameters were compared to other layers of the human temporal neocortex. The Authors conclude that the subcellular morphology of the layer 1 synapses is suitable for the functions of the neocortical layer, i.e. the synaptic integration within the cortical column. The low glial coverage of the synapses might allow the glutamate spillover from the synapses enhancing synaptic crosstalk within this cortical layer.

      Strengths:

      The strengths of this paper are the abundant and very precious data about the fine structure of the human neocortical layer 1. Quantitative electron microscopy data (especially that derived from the human brain) are very valuable, since this is a highly time- and energy consuming work. The techniques used to obtain the data, as well as the analyses and the statistics performed by the Authors are all solid, strengthen this manuscript, and support the conclusions drawn in the discussion.

      Comments on latest version:

      The third version of this paper has been substantially improved. The English is significantly better, there are only few paragraphs and sentences which are hard to understand (see my comments and suggestions below). Almost all of my suggestions were incorporated.

      We would like to thank the reviewer for the comments and incorporated the suggestions within the latest version of the manuscript.

      Remaining minor concerns:

      About epileptic and non-epileptic (non-affected) tissue. I am aware that temporal lobe neocortical tissue derived from epileptic patients is regarded as non-affected by many groups, and they are quite similar to the cortex of non-epileptic (tumour) patients in their electrophysiological properties and synaptic physiology. But please, note, that one paper you cited did not use samples from epileptic patients, but only tissue from non-epileptic tumor patients (Molnár et al. PLOS 2008).

      When you look deeper, and make thorough comparison of tissues derived from epileptic and non-epileptic patients, there are differences in the fine structure, as well as in several electrophysiological features. See for example Tóth et al., J Physiol, 2018, where higher density of excitatory synapses were found in L2 of neocortical samples derived from epileptic patients compared to non-epileptic (tumor) patients. Furthermore, the appearance of population bursts is similar, but their occurrence is more frequent and their amplitude is higher in tissue from epileptic compared to non-epileptic patients. So, I still cannot agree, that temporal neocortex of epileptic patients with the seizure focus in the hippocampus would be non-affected. Therefore I suggested to use the term biopsy tissue.

      We are thankful for this comment on using non-epileptic tissue also by others. We are also aware that Molnár et al. 2008 worked with tumor tissue.

      It is still not emphasized in the first paragraph of the Discussion, that only excitatory axon terminals were investigated.

      We now mentioned in the first paragraph of the discussion that only excitatory synaptic boutons were investigated.

      The text in the Results and the Discussion are somewhat inconsistent.

      The last two paragraphs of the Results section ends with several sentences which should be part of the discussion, such as line 328: This finding strongly supports multivesicular release... or line 344: --- pointing towards a layer-specific regulation of the putative RRP. Moreover, the results suggest that... and line 370: ... it is most likely... Please, correct this.

      We disagree with the reviewer on these points because these sentences summarizes the findings.

      The first paragraph of the Discussion summarizes the work of the quantitative EM work and gives one conclusion about the astrocytic coverage. This last sentence is inconsistent with the other parts of the paragraph. I would either write that "astrocytic coverage was also investigated" (or something similar), or move this sentence to the paragraph which discusses the astrocytic coverage.

      Results line 180-183. "Special connections" between astrocytic processes and synaptic boutons are mentioned, but not shown. Either show these (but then prove with staining!), or leave out this paragraph.

      We deleted this paragraph as suggested.

      Reviewer #2 (Public review):

      Summary:

      The study of Rollenhagen et al examines the ultrastructural features of Layer 1 of human temporal cortex. The tissue was derived from drug-resistant epileptic patients undergoing surgery, and was selected as further from the epilepsy focus, and as such considered to be non-epileptic. The analyses has included 4 patients with different age, sex, medication and onset of epilepsy. The manuscript is a follow-on study with 3 previous publications from the same authors on different layers of the temporal cortex:

      Layer 4 - Yakoubi et al 2019 eLife

      Layer 5 - Yakoubi et al 2019 Cerebral Cortex,

      Layer 6 - Schmuhl-Giesen et al 2022 Cerebral Cortex

      They find, the L1 synaptic boutons mainly have single active zone a very large pool of synaptic vesicles and are mostly devoid of astrocytic coverage.

      Strengths:

      The MS is well written easy to read. Result section gives a detailed set of figures showing many morphological parameters of synaptic boutons and surrounding glial elements. The authors provide comparative data of all the layers examined by them so far in the Discussion. Given that anatomical data in human brain are still very limited, the current MS has substantial relevance. The work appears to be generally well done, the EM and EM tomography images are of very good quality. The analyses is clear and precise.

      Weaknesses:

      The authors made all the corrections required and answered all of my concerns, included additional data sets, and clarified statements where needed.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      Minor suggestions:

      Synaptic density, lines 189-193. If you say "comparatively" high, then compare to something (cite your own work for the other layers, and tell the approximative values for the other layers). Same in line 194 comparably high to what? Other option: say "relatively high".

      We corrected the sentences as suggested by the reviewer.

      Line 206: When present, mitochondria (comma missing)

      Corrected as suggested by the reviewer.

      Line 265: Dot is missing at the end of the sentence (after Shapira et al. 2003)

      Corrected as suggested by the reviewer.

      Lines 300-301: Check the English for this sentence: significant difference BETWEEN TWO sublaminae and not significant difference for both sublaminae.

      Corrected as suggested by the reviewer.

      Lines 304-305: Check the sentence, please, it is not understandable without the text in parenthesis.

      Corrected as suggested by the reviewer.

      Line 354 Dot missing at the end of the sentence (after Figure 6A, B)

      Corrected as suggested by the reviewer.

      Line 354-358: Please rephrase this sentence (too complicated, not understandable). I do not understand why results of the L4, L5, L6 are described here. What does it mean "Astrocytes and their fine processes formed a relatively dense, but a comparably loose network within the neuropil in L1"? Dense or loose?

      In the experiment measuring the volume fraction of astrocytic processes (Figure 6C), all six cortical layers were analyzed, thus we compared the values obtained for L1 with the results for L4, L5 and L6. For more clarity, we rephrased the sentence: “Astrocytes and their fine processes formed a relatively dense network in L4 and L5, but a comparably loose one within the neuropil in L1…” We also rephrased other sentences in this paragraph (as also suggested below).

      Lines 359-369: Please rephrase this paragraph. The sentences are too complicated, have too many parentheses, and are not understandable. I suggest to write first how many synapses were examined in L1 and L4, then how many of them were on spine and on dendrites (either n or %). Then give the values how many (n or %) of them were "tripartite synapses", out of spine synapses and of dendritic synapses in both layers. How many of them were partially covered in both layers. Please, write the data in a systematic way. The best would be to give the values in a table as well. This way it will be more understandable (now, it is chaotic, hard to follow).

      We rephrased the paragraph and added a new table (3).

      Line 383: Dot missing from the end of the sentence.

      Corrected as suggested by the reviewer.

      Line 436: Reconsider "comparably low compared to". The comparably means what in this case? The whole paragraph is hard to understand, please, check and review for improvements to the use of English or use chatGPT to check it.

      We corrected the sentence according to the reviewer’s suggestion.

      Line 487: Same thing again: "The comparably largest size of the RP in L1 when compared..." What would you like to say with "comparably"? Check the meaning of this word in a dictionary, please. I have the feeling that you are using this word instead of "relatively".

      Corrected as suggested by the reviewer.

      Line 488 "and TO that found fot L4 and L5 in rodents..."

      Corrected as suggested by the reviewer.

      Line 493-495: Same again, comparably when compared, correct, please.

      Corrected as suggested by the reviewer.

      Supplemental figures: Now I do understand why Hu-01 and Hu-02 are twice, and I think, 3 patients were examined for L1a and three for L1b. But which side is which on the subfigures? Left side (Hu-01, 02 03) was used for L1a, or L1b? Could you write this in the legend, or mark on the figure (at least at one subfigure), please?

      We implemented a comment for clarity.

    1. Author response:

      The following is the authors’ response to the original reviews.

      Public reviews:

      Concerning the grounding in experimental phenomenology, it would be beneficial to identify specific experiments to strengthen the model. In particular, what evidence supports reversible beta cell inactivation? This could potentially be tested in mice, for instance, by using an inducible beta cell reporter, treating the animals with high glucose levels, and then measuring the phenotype of the marked cells. Such experiments, if they exist, would make the motivation for the model more compelling.

      There is some direct evidence of reversible beta cell inactivation in rodent / in vitro models. We had already mentioned this in the discussion, but we have added some text emphasizing / clarifying the role of this evidence (lines 359–362).

      Others have also argued that some analyses of insulin treatment in conventional T2D, which has a stronger effect in patients with higher glucose before treatment, provides indirect evidence of reversal of glucotoxicity. We have also mentioned this in the revised paper (lines 284–285).

      For quantitative experiments, the authors should be more specific about the features of beta cell dysfunction in KPD. Does the dysfunction manifest in fasting glucose, glycemic responses, or both? Is there a ”pre-KPD” condition? What is known about the disease’s timescale?

      The answers to some of these questions are not entirely clear—patients present with very high glucose, and thus must be treated immediately. Due to a lack of antecedent data it is not entirely clear what the pre-KPD condition is, but there is some evidence that KPD is at least not preceded by diabetes symptoms. This point is already noted in the introduction of the paper and Table 1. However, we have added a small note clarifying that this does not rule out mild hyperglycemia, as in prediabetes (and indeed, as our model might predict) (lines 76–77). Similarly, due to the necessity of immediate insulin treatment, it is not clear from existing data whether the disorder manifests more strongly in fasting glucose or glucose response, although it is likely in both. (We might infer this since continuous insulin treatment does not produce fasting hypoglycemia, and the complete lack of insulin response to glucose shortly after presentation should produce a strong effect in glycemic response.) We believe our existing description of KPD lists all of the relevant timescales, however we have also slightly clarified this description in response to the first referee’s comments (lines 66–73, 83)

      The authors should also consider whether their model could apply to other conditions besides KPD. For example, the phenomenology seems similar to the ”honeymoon” phase of T1D. Making a strong case for the model in this scenario would be fascinating.

      This is an excellent idea, which had not occurred to us. We have briefly discussed this possibility in the remission (lines 281–291), but plan to analyze it in more detail in a future manuscript.

      Reviewer #1 (Recommendations for the author):

      Whenever simulation results are presented, parameter values should be specified right there in the figure captions.

      We have added the values of glucotoxicity parameters to the caption of Figure 2. In other figures, we have explicitly mentioned which panel of Figure 2 the parameters are taken from. Description of the non-glucotoxicity parameters is a bit cumbersome (there are a lot of them, but our model of fast dynamics is slightly different from Topp et al. so it does not suffice to simply say we took their parameters) so we have referred the reader to the Materials and Methods for those.

      I was confused by the language in Figure 4. Could the authors clarify whether they argue that: (1) the observed KPD behaviour is the result of the system switching from one stable state to another when perturbed with high glucose intake? (2) the observed KPD behaviour is the result of one of the steady states disappearing with high glucose intake?

      What we mean to say is that during a period of high sugar intake or exogeneous insulin treatment, one of the fixed points is temporarily removed—it is still a fixed point of the “normal” dynamics, but not a fixed point of the dynamics with the external condition added. Since when glucose (insulin) intake is high enough, only the low (high)-β fixed point is present, under one of these conditions the dynamics flow toward that fixed point. When the external influx of glucose/insulin is turned off, both fixed points are present again—but if the dynamics have moved sufficiently far during the external forcing, the fixed point they end up in will have switched from one fixed point to the other. We have edited the text to make this clearer (lines 153–185). Do note, however, that in response to both referee’s comments (see below), Figures 3 and 4 have been replaced with more illuminating ones. This specific point is now addressed by the new Figure 3.

      The adaptation of the prefactor ’c’ was confusing to me. I think I understood it in the end, but it sounded like, ”here’s a complication, but we don’t explain it because it doesn’t really matter”. I think the authors can explain this better (or potentially leave out the complication with ’c’ altogether?).

      Indeed, the existence of an adaptation mechanism is important for our overall picture of diabetes pathogenesis, but not for many of our analyses, which assume prediabetes. Nonetheless, we agree that the current explanation of it’s role is confusing because of its vagueness. We have elaborated the explanation of the type of dynamics we assume for c, adding an equation for its dynamics to the “Model” section of the Materials and methods, explained in lines 456–465. We have also amended Figure 1 to note this compensation.

      I expect the main impact of this work will be to get clinical practitioners and biomedical researchers interested in the intermediate timescale dynamics of β-cells and take seriously the possibility that reversible inactive states might exist. But this impact will only be achieved when the results are clearly and easily understandable by an audience that is not familiar with mathematical modelling. I personally found it difficult to understand what I was supposed to see in the figures at first glance. Yes, the subtle points are indeed explained in the figure captions, but it might be advantageous to make the points visually so clear that a caption is barely needed. For example, when claiming that a change in parameters leads to bistability, why not plot the steady state values as a function of that parameter instead of showing curves from which one has to infer a steady state?

      I would advise the authors to reconsider their visual presentation by, e.g., presenting the figures to clinical practitioners or biomedical researchers with just a caption title to test whether such an audience can decipher the point of the figure! This is of course merely a personal suggestion that the authors may decide to ignore. I am making this suggestion only because I believe in the quality of this work and that improving the clarity of the figures and the ease with which one can understand the main points would potentially lead to a much larger impact on the presented results.

      This is a very good point. We have made several changes. Firstly, we have added smaller panels showing the dynamics of β to Figure 2; previously, the reader had to infer what was happening to β from G(t). Secondly, we have completely replaced the two figures showing dβ/dt, and requiring the reader to infer the fixed points of β, with bifurcation diagrams that simply show the fixed points of G and β. The new figures show through bifurcation diagrams how there are multiple fixed points in KPD, how glucose or insulin treatment force the switching of fixed points, and how the presence of bistability depends on the rate of glucotoxicity. (These new figures are Fig. 3–5 in the revised manuscript.)

      Could the authors explicitly point out what could be learned from their work for the clinic? At the moment treatment consists of giving insulin to patients. If I understand correctly, nothing about the current treatment would change if the model is correct. Is there maybe something more subtle that could be relevant to devising an optimal treatment for KPD patients?

      This is another very good point. We have added a new figure (Fig. 7) in our results section showing how this model, or one like it, can be analyzed to suggest an insulin treatment schedule (once parameters for an individual patient can be measured), and added some discussion of this point (lines 224–240) as well as lifestyle changes our model might suggest for KPD patients to the discussion (lines 413–425).

      Similarly, could the authors explicitly point out how their model could be experimentally tested? For example, are the functions f(G) and g(G) experimentally accessible? Related to that, presumably the shape of those functions matters to reproduce the observed behaviour. Could the authors comment on that / analyze how reproducing the observed behaviour puts constraints on the shape of the used functions and chosen parameter values?

      g(G) has not been carefully measured in cellular data, however it could be in more quantative versions of existing experiments. Further, our model indeed requires some general features for the forms of f(G) and g(G) to produce KPD-like phenomena. We have added some comment on this to the discussion section of the revised manuscript (lines 367–372).

      Could the authors explicitly spell out which parameters they think differ between individual KPD patients, and which parameters differ between KPD patients and ’regular’ type 2 diabetics?

      In general we expect all parameters should vary both among KPD patients and between KPD / “conventional” T2D. The primary parameter determining whether KPD and conventional T2D, is seen, however, is the ratio kIN/kRE. We have elaborated on both these points in the revised mansuscript. (Lines 186–192, 250–257.)

      I was confused about the timescale of remission. At one point the authors write “KPD patients can often achieve partial remission: after a few weeks or months of treatment with insulin” but later the authors state that “the duration of the remission varies from 6 months to 10 years”.

      The former timescale is the typical timescale achieve remission. After remission is reached, however, it may or may not last—patients may experience a relapse, where their condition worsens and they again require insulin. We have edited the text to clarify this distinction (lines 66–73).

      When the authors talk about intermediate timescales in the main text could they specify an actual unit of time, such as days, weeks, or months as it would relate to the rate constants in their model for those transitions?

      We have done so (lines 86–87, figure 1 caption, figure 2 caption). Getting KPD-like behavior requires (at high glucose) the deactivation process to be somewhat faster than the reactivation process, so the relevant scales are between weeks (reactivation) and days (deactivation at high G).

      The authors state ”Our simple model of β-cell adaptation also neglects the known hyperglycemiainduced leftward shift in the insulin secretion curve f(G) in Eq. (2)) ”. This seems an important consideration. Could the authors comment on why they did not model this shift, and/or explicitly discuss how including it is expected to change the model dynamics?

      We agree that this process seems potentially relevant, as it seems to happen on a relatively fast timescale compared to glucose-induced β-cell death. It is, however, not so well characterized quantitatively that including it is a simple matter of putting in known values—we would be making assumptions that would complicate the interpretation of our results.

      It is clear that this effect will need to be considered when quanitatively modelling real patient data. However, it is also straightforward to argue that this effect by itself cannot produce KPD-like symptoms, and will only tend to reduce the rate of glucotoxocity necessary to produce bibstability. We have added a discussion of this in the revisions (lines 307–315). We have also, in general, expanded the discussion of the effects that each neglected detail we have mentioned is expected to have (lines 292–315).

      The authors end with a statement that their results may “contribute to explanation of other observations that involve rapid onset or remission of diabetes-like phenomena, such as during pregnancy or for patients on very low calorie diets.” Could the authors spell out exactly how their model potentially relates to these phenomena?

      Our thinking is that, even when another direct cause, such as loss of insulin resistance, is implicated in reversal of diabetes, some portion of the effect may be explained by reversal of glucotoxicity. This is indeed at this point just a hypothesis, but we have expanded on it briefly in the revision. (Lines 281–291.)

      Minor typos:

      In Figure 2.D the last zero of 200 on the axis was cut off.

      Line 359 - there is a missing word ”in the analysis”.

      We have fixed these typos, thanks.

      Reviewer #2 (Recommendations for the author):

      The manuscript could be significantly improved in two key areas: the presentation of the analysis, and the relation with experimental phenomenology.

      Regarding the analysis presentation, the figures could be substantially enhanced with minimal effort from the authors. At present, they are sparse, lack legends, and offer only basic analysis. The authors should consider presenting, for example, a bifurcation diagram for beta cell mass and fasting glucose levels as a function of kIN, and how insulin sensitivity and average meal intake modulate this relationship. The goal should be to present clear, testable predictions in an intuitive manner. Currently, the specific testable predictions of the model are unclear.

      The response to this question is copied from the reponses to related questions from the first referee.

      This is a very good point. We have made several changes. Firstly, we have added smaller panels showing the dynamics of β to Figure 2; previously, the reader thad to infer what was happening to β from G(t). Secondly, we have completely replaced the two figures showing dβ/dt, and requiring the reader to infer the fixed points of β, with bifurcation diagrams that simply show the fixed points of G and β. The new figures show through bifurcation diagrams how there are multiple fixed points in KPD, how glucose or insulin treatment force the switching of fixed points, and how the presence of bistability depends on the rate of glucotoxicity. We have also supplemented our phase diagram that shows the effects of SI and the total beta cell population with bifurcation diagrams showing β as SI and βTOT are varied. (These new figures are Fig. 3–5 in the present manuscript.) Finally, we have added another figure analyzing the model’s predictions for the optimal insulin treatment and the resulting time needed to achieve remission (Fig. 7)

    1. Note: This response was posted by the corresponding author to Review Commons. The content has not been altered except for formatting.

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      Reply to the reviewers

      Firstly, we would like to thank the reviewers for their time and efforts in critiquing this paper. The reviewers addressed our study to be significant, but also presented great suggestions to improve our manuscript, mainly the comparison of mRNA and eRNA for predicting subtype specificity and prognosis, the integration with independent validation datasets, etc. Our preliminary analyses showed that our classified mRNAs can predict subtypes better which is not surprising, as these subtypes were initially discovered using mRNA differences. Hence, we employed a novel approach of associating these classified mRNA and eRNA with distance and identified 71% classified eRNAs are associated with classified mRNAs. We also propose to integrate the datasets with PEGS (Briggs et al 2021) to achieve better mRNA-eRNA association and Perturb-seq validated regions to achieve functional validation of the eRNA loci. We believe that our potential improved integrative analyses will improve the novelty and power of our findings, as this is an unique approach which is employed in patient samples-based high resolution eRNA atlas for the first time. We have addressed most of the other major and minor comments of the reviewers and have provided the preliminary revised manuscript.

      Reviewer #1

      Evidence, reproducibility and clarity

      Summary<br /> This study assesses eRNA activity as a classifier of different subtypes of breast cancer and as a prognosis tool. The authors take advantage of previously published RNA-seq data from human breast cancer samples and assess it more deeply, considering the cancer subtype of the patient. They then apply two machine learning approaches to find which eRNAs can classify the different breast cancer subtypes. While they do not find any eRNA that helps distinguish ductal vs. lobular breast cancers, their approach helps identify eRNAs that distinguish luminal A, B, basal and Her2+ cancers. They also use motif enrichment analysis and ChIP-seq datasets to characterize the eRNA regions further. Through this analysis, they observe that those eRNAs where ER binds strongest are associated with a poor patient prognosis.

      Major comments:

      Part of the rationale for this study is the previous observation that eRNAs are less associated with the prognosis of breast cancer patients in comparison to mRNAs and they claim that the high heterogeneity between breast cancer subtypes would mask the importance of eRNAs. In this study, the authors solely focus on eRNAs as a classification of breast cancer subtypes and prognostic tool and do not answer whether eRNAs or mRNAs are a better predictor of cancer subtypes and of prognosis. Since the answer and the tools are already in their hands, it would be important to also see a comparative analysis where they assess which of the two (mRNAs or eRNAs) is a better predictor.

      Response: We appreciate the reviewer for this valid point about comparing the prognostic eRNAs vs mRNAs. Our study doesn’t imply that eRNA markers are better than mRNAs in predicting subtype specificity and/or prognosis, but our motivation for working with eRNAs is that they can be used to define relevant transcriptional regulators and prognosis generally if they are subtyped. As the molecular subtypes in breast cancers were established using gene expression datasets, mRNAs would perform better as predictors of subtypes and or prognosis. However, identifying regulatory networks with emphasis on transcription factor binding motif analyses is not achievable using mRNA datasets. Analysing the active enhancer regions with eRNA transcription will provide high resolution landscape of TF and epigenetic networks. These sorts of analyses usually require ATAC-seq or H3K27ac datasets, but these assays need fresh frozen tissue material and laborious experimental designs compared to RNA-seq datasets. Furthermore, eRNA-transcribing enhancers represent highly active enhancers, while ATAC and H3K27ac datasets can identify all enhancers, which can be inactive or poised, but captured due to the dynamic nature of enhancers. We demonstrate that traditional RNA-seq datasets mapped on active enhancer regions showing eRNA transcription would be sufficient to identify the highly active TF network and gene-enhancer regulatory frameworks in a subtype-specific manner, hence emphasising the potential of eRNA studies.

      Hence, the scope of our study is not to establish which RNA can predict subtype and survival, but to demonstrate the potential of studying eRNAs in patient samples using traditional RNA-seq assays. This study would be beneficial for epigenetics biologists of how enhancer transcription can be associated with gene regulation through deregulated transcription factor networks in patients. The above section had been included in the discussion in the revised manuscript.

      As the comparative analyses suggested by the reviewer will substantiate the potential of eRNAs being studied as cancer prognostic markers, we performed identical methodologies with our machine learning approaches on the published TCGA mRNA-seq datasets, identify the subtype-specific mRNAs as well as prognostic mRNAs and perform the comparative analyses of eRNAs and mRNAs. As we expected, mRNAs indeed perform better in associating with subtype specificity than eRNAs as we could identify more subtype-specific mRNAs with better statistics metrics. The results exhibit great separation across subtypes (Basal, Her2, LumA/B) as well as Ductal vs Lobular.

      We believe that eRNA and mRNA are complementary but not comparative to predict subtype-specific survival. To address this in the revised manuscript, we performed an initial selection of the eRNAs associated with their corresponding subtype-specific mRNAs within 50 kb distance which can be integrated with the above analyses, based on the suggestion from reviewer 3. In our preliminary analysis, around 71% of eRNAs are associated with the subtype-specific mRNAs and we also observed an observable separation of ductal and lobular subtypes using this method.

      Furthermore, we integrated our enhancer RNAs with the key enhancer regions which show significant impact on gene transcription, as shown in single cell CRISPRi screens (Perturb-seq) datasets derived from ATAC-matched H3K27ac datasets verified on one ER+ and one ER- breast cancer cell lines (Wang et al., Genome Biology 2025, https://genomebiology.biomedcentral.com/articles/10.1186/s13059-025-03474-0) . Our initial analyses identified at least 29 regions from the Perturb-seq datasets overlapping with 72 and 5 eRNAs of subtype classification and Her2 survival respectively.

      For the revised manuscript, we will perform the mRNA-eRNA association in a detailed manner and include the data. We will also employ our well-established tool for associating mRNAs and noncoding elements, Peak set Enrichment in Gene Sets (PEGS, Briggs et al., F1000 research, 2021 https://f1000research.com/articles/10-570/v2 ). We hypothesise that this will improve the power of the classification models used in the study and will also provide gene-enhancer RNA interaction landscape in patient samples for the first time. Furthermore, we will integrate the activity of these eRNA-mRNA pairs with chromatin accessibility and enhancer activity using ATAC-seq and H3K27ac ChIP-seq datasets to establish more robust active regulatory networks in patient samples. We will also perform motif analyses on the published ATAC-seq peaks (performed on TCGA-BRCA patient samples, Corces et al., 2018) close to the eRNA loci to identify the TF networks with better precision, hopefully unravelling novel and relevant subtype-specific TFs in an efficient manner, better than our original work. Furthermore, as an experimental functional validation of our classified eRNAs, we will investigate the regulatory effect of 29 Perturb-seq overlapped regions. Hence, our revised manuscript will potentially provide a comprehensive validated list of enhancer RNA regions which are highly active, actively transcribing, subtype and survival specific regulatory networks in breast cancer patients for the first time.

      The authors run the umaps of Fig. 1C only taking the predictor eRNAs. It is then somewhat expected to observe a separation. Coming from a single-cell omics field, what I would suggest is to take the eRNA loci and compute a umap with the highly variable regions, perform clustering on it and assess how the cancer subtypes are structured within the data. This would give a first overview of how much segregation and structure one can have with this data. Having a first step of data exploration would also strengthen the paper. If the authors have tried it, could the authors comment on it?

      Response: We appreciate the reviewer for sharing their experience from single cell omics analysis. In our case, following the scRNA like pipeline is not appropriate, given the focus of our study on identifying markers on the already annotated subtypes. Basically, we aim to assess the quality of the identified markers (the quality is quantified by the statistics provided for random forest classification), and we see that the data is well-separated in PCA using only PC1 and PC2. We showed the umap (using PC1 and PC2) for better visualization in the original manuscript and we included the PCA plots in the revised manuscript.

      'neither measures could classify any distinct eRNAs for invasive ductal vs lobular cancer samples' S1B. Just by eye, I can see a potential enrichment of ductal on the left and on the right while lobular stays in the center. This suggests to me that, while perhaps each eRNA alone does not have the power to classify the lobular vs ductal subtype, perhaps there is a difference - which could result from a cooperative model of eRNA influence - that would need further exploration. Would a PCA also show enrichments of ductal vs. lobular in specific parts of the plot? It may be worth exploring the PC loadings to see which eRNAs could play an influence. In this regard, a more unbiased visual examination, as suggested in my previous point, could help clarify whether there could be an association of certain eRNAs that cannot be captured by ML.

      Response: The subtypes of cancer patients (Basal, Her2, LumA/B) possess clear differences in mRNA expression in breast cancer studies. Given the fixed annotations of the subtypes in the patient datasets, we applied our methodologies on mRNA datasets, and the results exhibited great separation across subtypes (Basal, Her2, LumA/B) as well as Ductal vs Lobular. In addition, 70% of subtype-specific eRNAs are located next to mRNA. This ensures that we detected proper eRNA markers. Furthermore, Random Forest is the standard and powerful non-linear classifier for these types of classifying questions. Therefore, we hypothesized that the data which can distinguish Ductal vs Lobular does not exist in the used eRNA dataset. We only detected 38 subtype-specific mRNAs using information gain with standard cutoff 0.05 which they have classifying power across ductal-lobular. With this standard cutoff only one eRNA-associated gene was detected. To explore more, we used low cutoff for information gain (0.01) and then took only the eRNAs which are located near classified mRNAs (up to 50KB). In this way, we detected 96 eRNA candidates linked to 8 classified mRNAs. These 96 eRNAs could, to some extent, classify ductal vs lobular (PCA plots attached above). This observation can further verify that if a more comprehensive eRNA dataset exists, we could detect better eRNA markers and cover more (probably all) mRNA markers. Hence, cooperative model of eRNA as suggested by the reviewer can't be achieved and random forest is one of the efficient tools to decipher the cooperation if it exists. Besides, as we demonstrated in this paper that eRNA is a complementary dataset to mRNA which can assist in the identification of regulatory networks. For the revision, we will provide more detailed eRNA-mRNA associations using integration with PEGS and Perturb-seq validated regions, in both subtype classification and survival and will motivate the potential similar studies for ductal vs lobular in the discussion.

      "we employed machine learning approaches on 302,951 eRNA loci identified from RNA-seq datasets from 1,095 breast cancer patient samples from previous studies" - the previous studies from which the authors take the data [11,12] highlight the presence of ~60K enhancers in the human genome and they use less than that in their analysis. Could the authors please clarify the differences in numbers with previous studies and give a reasoning?

      Response: ~300K enhancers are derived from ENCODE H3K27ac datasets which represents all active enhancer regions marked by H3K27ac (Hnisz et al., 2013). This is a high-resolution map of eRNA loci ever presented. In Chen et al 2020, 1,531 superenhancers representing 30K eRNA loci was utilised for exploratory analysis, and the findings were generalised back to the 300K set. 65K enhancer loci covers tissue-specific enhancers initially identified by FANTOM CAGE datasets and this subset provide limited regions of eRNA expression. Hence, our analyses on ~300K eRNA loci provide unbiased information on subtype specificity and gene-TF regulatory networks. The differences had been highlighted in the methods and results in the revised manuscript.

      Also, from the methods section, they discard many patient samples due to low QC, so, from what I understand, the number of samples analyzed in the end is 975 and not 1,095.

      Response: We thank the reviewer for pointing this out and we have updated the numbers in the revised manuscript.

      Minor comments:

      Can the authors please state the parameters of the umap in methods? Although it could be intrinsic to the dataset, data points are grouped in a way that makes me think that the granularity is too forced. Could the authors please show how the umap would behave with more lenient parameters? Or even with PCA?

      Response: We used ‘umap’ function from umap package (with default parameters) in R using only PC1 and PC2, hence the granularity is not forced. As suggested by the reviewer, we have now added PCA plots in the main figures (Fig. 1E) and moved all the umap plots to the Supplementary figures (Fig.S1B) in the revised manuscript.

      'Majority of the basal' -> The majority of the basal.

      Response: We thank the reviewers for noticing the typo and we corrected this in the revised manuscript.

      Significance

      This is a paper relevant in the cancer field, particularly for breast cancer research. The significance of the paper lies in digging into the breast cancer samples, taking the different existing subtypes into account to assess the contribution of eRNAs as a classifier and as a prognostic tool. The data is already available but it has not been studied to this degree of detail. It highlights the importance of characterizing cancer samples in more depth, considering its intrinsic heterogeneity, as averaging across different subtypes would mask biology. My expertise lies in gene regulation and single-cell omics. My contribution will therefore be more focused on the analysis and extraction of biological information. The extent of its specific relevance in cancer research falls beyond my expertise.

      Response: We appreciate the reviewer for understanding our efforts to bring out the importance of subtyping and to explore the association of eRNA in breast cancer transcriptional gene regulatory networks.

      Reviewer #2

      Evidence, reproducibility and clarity

      Summary<br /> Enhancer RNAs (eRNAs) are early indicators of transcription factor (TF) activity and can identify distinct molecular subtypes and pathological outcomes in breast cancer. In this study, Patel et al. analysed 302,951 polyadenylated eRNA loci from 1,095 breast cancer patients using RNA-seq data, applying machine learning (ML) to classify eRNAs associated with specific molecular subtypes and survival. They discovered subtype-specific eRNAs that implicate both established and novel regulatory pathways and TFs, as well as prognostic eRNAs -specifically, LumA and HER2-survival- that distinguish favorable from poor survival outcomes. Overall, this ML-based approach illustrates how eRNAs reveal the molecular grammar and pathological implications underlying breast cancer heterogeneity.

      Major comments

      1. The authors define 302,951 eRNA loci based on RNA-seq data, yet it is widely known that many enhancers reside in proximity to promoters or within intronic regions (examples presented in Fig. 3B and S3). Consequently, it seems likely that reads mapped to these regions might not truly represent eRNA signals but include mRNA contamination. Could the authors clarify how they ensured that the identified eRNAs were not confounded by mRNA reads? What fraction of these enhancer loci is promoter proximal or intronic? How does H3K4me3, a well-established and standardized active promoter histone mark, behave on these loci? The reviewer considers it important to confirm that the identified eRNAs are indeed of enhancer origin rather than promoter transcripts.

      Response: For this study, we utilised pan cancer atlas-based published work (Chen et al 2018 and 2020) where the abundant RNA signals on intronic and intergenic regions are included, and promoter-based signals are excluded. These studies utilise the advantage of identifying eRNAs on large sample size and the possibility of mRNA being on introns in 1000s of patient samples is very low. A clarification of this concern had been discussed in the Introduction of these studies as follows: “because eRNA reads associated with real enhancer activity recurrently accumulate, whereas background transcription noise tends to occur stochastically. The large number of RNA-seq reads obtained would compensate for the statistical power compromised by the low eRNA expression level typically observed in a single sample.” We included clarification of this concern in the discussion. Furthermore, as per the reviewer’s suggestion, we examined the distribution of the eRNA loci across the genome and found that majority of eRNA regions are located on introns and intergenic regions. This figure had been included in the Supplementary Fig. S6A.

      2. In Fig. 1B, the F measure (0.540) of the Basal subtype using the Logmc method contradicts its extremely high precision (1.000) and sensitivity (0.890). The authors need to clarify the exact formula or method used to compute F1 and the discrepancy in the reported metrics for this subtype and perhaps other subtypes as well.

      Response: We apologise for the mistake in this section and thank the reviewer for pointing this out. We included the formulas for each statistical metric in the method section of the manuscript. The F-measure was mentioned wrong which led to the confusion here. The figure had been corrected with the F-measure of 0.94 in the revised manuscript.

      3. As shown in Fig. 4C, S4B, and most, if not all, tracks of Fig. S3, ER binding regions are not annotated as eRNA loci. It seems, in this reviewer's opinion, very unlikely that this is because they generally lack eRNA expression, but rather they do not express polyadenylated eRNA (typically 1D eRNA), which is captured in this dataset. The reviewer posits that these enhancers produce more transient, non-polyadenylated 2D eRNA. It has been widely documented in prior studies that ER-bound enhancers exhibit bimodal eRNA expression patterns [e.g., Li, W. et al. Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation. Nature 498, 516-520 (2013)]. Could the authors address this opinion and elaborate on how the restriction to polyadenylated transcripts might underrepresent enhancers regulated by ER and other TFs and whether this bias impacts the overall findings?

      Response: The authors appreciate the reviewer’s suggestion to address the caveats of using polyadenylated eRNAs to identify the ER binding patterns. TCGA eRNA atlas with polyadenylated eRNAs indeed possesses this disadvantage of using polyadenylated eRNAs for this study, however currently there are no data available with bidirectional transcripts in any breast cancer patient samples. The tools to profile these RNAs are not robust enough to be performed on frozen cancer tissue samples which are extremely limited in their size and availability. By utilising the polyadenylated eRNA-seq datasets, we might not only lose the accuracy of ER binding patterns, but also for other transcription factors which activate/associate with bimodal expression around enhancers. However, our integrative analysis on stable polyadenylated eRNA loci can still identify the most-relevant TF networks of each subtype.

      Furthermore, we validated this finding by analysing our own datasets of KAS-seq which represents any active transcribing bidirectional enhancers from MCF7 cell line. Independently, we also incorporated ATAC-seq, H3K27ac ChIP-seq, CAGE and GRO-seq data on the gene profiles in Fig. S3 to associate the eRNA regions identified in polyadenylated RNA datasets with ER binding sites in patients and published bidirectional transcripts in the preliminarily revised manuscript. We observed that all the ER binding sites are accompanied by open and active enhancer marks with bidirectional transcription (either GRO- or CAGE positive) but they are not on the exact location of eRNA regions. Subtype-specific eRNA regions close to genes like MLPH and XBP1 possess both active bidirectional transcribing ER bound sites far away (around 1.5 kb) from subtype-specific eRNA loci and bidirectional transcribing ER unbound sites. However, these distal ER binding sites are close to the regions from the list of 300K eRNA loci and they were simply not identified as subtype-specific regions. Hence, it can be true that the occupancy of ER might not be present on all subtype-specific eRNA loci, but our subtype-specific eRNA sites are representative of bidirectional transcription.

      Upon the suggestion from the reviewer, we discussed the potential of identifying TF networks by analysing the 1D eRNAs, in the revised manuscript.

      4. Despite the unsatisfied performance of the ML approach on classifying Her2 subtypes, the hierarchical clustering performed in Fig. 2A and S2A appears to show a reasonable separation of Her2 subtypes, showing as a clustered green band. Could the authors quantitatively assess how effective this clustering results and compare that to the ML outcome? (OPTIONAL)

      Response: The authors acknowledge this interpretation from the reviewers. Using both the measures, our ML platform can identify markers for Her2 subtype but some of the statistical metrics are poor. As the heatmaps were performed based on these identified Her2 markers, a separate analysis on this cluster would not be much informative. The poor metrics for Her2 classification was already justified, partly due to the low number of Her2+ patients in the cohort.

      5. In Fig. 4 and S4, the authors reported to have enriched binding or motif of TFs, e.g., FOXA1, AP-2, and E2A, specifically at enhancer loci with low eRNA level, which conflicts with their established roles as transcriptional activators. The reviewer asks for an address as to why these factors would be associated with basal low-eRNA regions and whether any additional data might clarify their functional role in these contexts.

      Response: The authors appreciate the reviewer’s concern, but we would like to clarify that eRNAs which are less expressed in basal subtype are classified as basal low. These regions show high expression in luminal patients. Hence, there is a strong overlap of basal low and luminal high regions. FOXA1 and AP2 factors are strongly established coactivators in luminal ER+ transcriptional signaling, hence they are associated with basal low eRNA regions. We clarified this in the discussion and provided more literature evidence in the revised manuscript to demonstrate the strong role of FOXA1 and AP2 factors in ER+ luminal breast cancer transcriptional response.

      6. Regarding Fig. 4B, the authors state that "ER binding occupies only the strongest ssDNA and GRO-seq-positive sites". Firstly, the GRO-seq data quality is poor with indiscernible peaks. This may be insufficient for a qualified representation of nascent eRNA expression. More importantly, it appears each heatmap is ranked independently, so top loci for ssDNA are not necessarily top loci for GRO-seq, ER, Pol-II, or H3K27ac. The reviewer requests clarification on how the authors plot these heatmaps and questions whether the statement is supported by the analysis as presented.

      Response: We acknowledge the reviewer’s concern and based on their suggestion, we utilised another set of GRO-seq datasets which is more deeply sequenced and published by the same lab. The average plot from these new datasets showed better profile. We also apologize for not providing enough details of how we generated the heatmaps in Fig. 4B. The heatmaps were made separately for each profile to auto scale with their own intensity levels but the order of the regions is based on KAS-seq intensity. The order of these regions was kept the same between each profile. Hence, top loci of ssDNA are not exact top loci of GRO, ER, H3K27ac and Polymerase but top loci of ssDNA also show similar high intensity in GRO, ER, H3K27ac and Polymerase, hence correlated. We also removed regions which belong to blacklisted regions of hg38 and the regions which were over-sequenced due to amplifications and showed weird signals. We provided the new heatmaps and profile plots in the revised manuscript with different clusters of KAS-seq intensity. We also updated the methods section to clarify how these heatmaps were made.

      7. In Fig. S4B and the third plot of 4C, the averaged histogram of ER binding appears in multiple sharp peaks with drastic asymmetric positioning around the enhancer centre, which is highly atypical of most published ER ChIP-seq profiles. Could the authors discuss possible "spatial syntax" or directional patterns of ER binding in relation to eRNA loci and cite any literature showing a similar pattern? Further evidence is required to substantiate these observations, as they are remarkably unique.

      Response: The authors agree with the reviewer’s point about asymmetric peaks of ER on the luminal specific eRNA regions. Due to the nature of the average profile plots and the number of regions explored here are so low, the profiles look asymmetrical and different than the published literature. Heatmaps lose their resolution when made on a very low number of regions. The focus of this analysis is to highlight that the ER is not binding to the centre of eRNA loci which is contradictory to the published findings from in vitro studies, but further away on these subtype-specific regions. We don’t have any solid evidence to demonstrate the directional patterns of ER binding related to this data. To avoid any confusion, we removed these average plots but focused on the already existing single gene profiles in Fig. S3 and discussed our interpretations in detail.

      Minor comments<br /> 1. When introducing eRNAs, the reviewer recommends mentioning that 1) eRNA levels correlate with enhancer activity and 2) eRNA expression precedes target gene transcription, thus reflecting upstream regulatory events. Relevant references include: Arner, E. et al. Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells. Science 347, 1010-1014 (2015); Carullo, N. V. N. et al. Enhancer RNAs predict enhancer-gene regulatory links and are critical for enhancer function in neuronal systems. Nucleic Acids Res. 48, 9550-9570 (2020); Kaikkonen, Minna U. et al. Remodeling of the Enhancer Landscape during Macrophage Activation Is Coupled to Enhancer Transcription. Mol. Cell 51, 310-325 (2013).

      Response: These are great recommendations from the reviewer, and we included the suggested publications in the Introduction section of the revised manuscript.

      2. H3K27ac is used initially to define these regulatory loci, and like eRNAs, H3K27ac also varies among patients. Which H3K27ac dataset(s) were used initially, and could this approach potentially overlook patient-specific enhancers? (OPTIONAL)

      Response: This is a totally valid point from the reviewer. The idea of this project is to define common subtype-specific enhancers which can be regulatory and prognostic, hence can be developed further as biomarkers providing benefit for more patients in the future. Hence, investigating the common enhancers which are activated in multiple normal and cancer cell lines defined by ENCODE is more valid than patient-specific enhancers whose activity might be influenced by specific genetic alterations. There is very limited availability of H3K27ac ChIP-seq datasets from cancer patients to explore the patient-specific enhancers, and our analyses were totally based on the published work, hence not possible to fully address this concern. The source of the H3K27ac ENCODE datasets (from 86 human cell lines and tissue samples) is clarified in the revised manuscript.

      3. In addition to the overall metrics displayed in Fig. 2B, could the authors provide precision and sensitivity values for LumA and LumB separately under the Logmc method, given the observation in Fig. 2E that LumA and LumB are not well separated in the UMAP projection?

      Response: The authors appreciate the suggestion from the reviewer. We have included the metrics separately for LumA and LumB in the revised manuscript in Fig. S1D.

      4. Could the author elaborate, in the discussion section, on why there is a substantial difference in ML performance depending on whether InfoGain or Logmc is used?

      Response: We have included the following text in the discussion to explain the differences between these two measures.

      “InfoGain measure work with the approach of binarization with k-means (k=2). It has the potential to capture both strongly expressed eRNAs which are differential between subtypes as well as low expressed sparser on and off eRNAs. In the first case, although eRNA is highly expressed in all patients, the higher expression mode becomes 1 and the lower expressed mode become 0. However, in case of low expression, more on and off expression, recentered logmc would not generate a striking high value. Furthermore, binarization is also a strong process to perform better clustering and classification, as distinguishing between data points gets better and clearer. “

      5. How does the expression pattern of Basal high, Basal low, Her2, and Lum eRNA clusters behave differentially in Basal, Her2, and LumA/B subtypes? Are Basal high eRNAs downregulated in Her2 or Lum subtypes, and vice versa? Since many downstream analyses rely on these eRNA clusters, it is suggested to include a heatmap and/or boxplot that displays how each eRNA category is expressed in each subtype to confirm that these definitions are consistent.

      Response: We thank the reviewers for this suggestion and apologise for not providing enough clarification on the expression of eRNAs in other subtypes. Indeed, Basal high expressed eRNA are expressed low in LumA and LumB and Basal low expressed eRNAs are expressed higher in lumA and lumB. Her2 subtype-specific eRNAs has a trend of expression between Basal and Lum, as it can be seen in the umap and PCA. Basically, the Basal high expressed eRNAs are Lum lower expressed eRNAs, and the Basal low expressed markers are Lum higher expressed markers. As per the suggestion from the reviewer, we provided heatmaps on eRNA expression of each subtype-specific with regulation in other subtype patients in figure S2F-K.

      Referee cross-commenting

      I share Reviewer #1's opinion that the manuscript should assess whether mRNA or eRNA is the stronger predictor of breast cancer subtypes and clinical outcomes. It will greatly improve the novelty if eRNA is shown to be a better indicator for cancer characterization.

      Also, I strongly concur with Reviewer #3 that the current informatics approach is superficial and that several conclusions are contentious. The authors need to resolve the inconsistencies in their ML statistics and the potentially misleading interpretations of the ChIPseq and motif enrichment results.

      It is further recommended that, building Reviewer #3's comment, the study integrate eRNA signatures with their proximal genes to address 1) whether genes located near these enhancers are differentially expressed-and correlated with enhancer activity-across cancer subtypes, and 2) whether it provides insights into understanding the enhancer-gene regulatory architecture in a subtype-specific context.

      Response: We thank reviewer 2 for cross-commenting on reviewer 1 and 3’s suggestions. Indeed, these are interesting points to cover and will increase the novelty of the study. Based upon these suggestions and discussed earlier for reviewer 1’s comments, we will explore the comparison of mRNAs vs eRNAs as predictor of cancer subtypes and prognosis and the association of genes-eRNAs in cis as discussed in other reviewer’s comments. Our preliminary analyses show a strong association of eRNA and mRNA specific to subtypes and an observable separation on subtypes which were harder to classify markers using eRNAs alone. Hence, we will improve these analyses, and the manuscript further as discussed above in the final revision.

      Significance

      General Assessment

      This study provides insights into the potential use of eRNA to classify breast cancer subtypes and refine prognostic markers. A strength is the integration of large-scale RNA-seq data with machine learning to identify eRNA signatures in biologically-meaningful patient samples, revealing both established and novel TF networks. The study also discovered eRNA clusters that correlate with the survival of patients, thus providing strong clinical implications. However, the ML approach yields several inconsistencies-for instance, unsatisfactory classification results for the Her2 subtype as well as the confused statistical metrics in the results. Furthermore, the ML model struggles to differentiate more nuanced molecular classes (e.g., LumA vs. LumB) and higher-level histological subtypes (e.g., lobular vs. ductal), thus limiting its power to dissect more delicate pathological and molecular mechanisms. Another limitation worth noting of this ML approach is the exclusive use of only polyadenylated eRNAs via RNA-seq, which excludes perhaps the more prominent 2D eRNA expressed in regulatory enhancers. Moreover, certain datasets appear to be of suboptimal quality, leading to assertions that would benefit from additional supporting evidence. Altogether, while the study offers a promising angle on eRNA-based tumor stratification, more robust experimental validations are needed to resolve inconsistencies and clarify the mechanistic underpinnings.

      Advance<br /> Conceptually, the study highlights the potential for eRNA-based signatures to capture regulatory variation beyond classical markers. However, the utility of these signatures is constrained by the focus on polyadenylated transcripts alone, likely underrepresenting key enhancer regions, and certain evidence presented in this study is not substantial enough to support some statements. While the work adds an important dimension to the understanding of enhancer biology in breast cancer, the resulting insights are partly hampered by limitations in data coverage and quality.

      Audience<br /> The primary audience includes cancer epigenetics, functional genomics, and bioinformatics researchers who are interested in leveraging eRNAs as biomarkers and dissecting complex regulatory networks in breast cancer. Clinically oriented scientists focusing on molecular diagnostics may also find relevance in the authors' approach to stratify subtypes and outcomes. The research is most relevant to a specialized audience within basic and translational cancer genomics, as well as computational biology groups interested in eRNA analysis.

      Field of Expertise

      I evaluate this manuscript as a researcher specializing in cancer epigenetics, functional genomics, and NGS-based data analysis. Parts of the manuscript touching on clinical outcome measures may require additional review from practicing oncologists.

      Reviewer #3 (Evidence, reproducibility and clarity (Required)):

      This study aims to classify prognostic and subtype-specific eRNAs in breast cancer, highlighting their potential as biomarkers.<br /> Data was analysed using existing machine learning algorithms,<br /> Data analysis is superficial and it is hard to understand the key significant findings.

      This is an important topic and a highly relevant approach to identifying RNA-based biomarkers.<br /> They analyse published RNAseq datasets by focusing on molecular subtype-specific eRNAs, enhancing clinical relevance and thereby addressing the heterogeneity of the cancer type (strength of the study).

      Weaknesses include: Most of the findings are purely correlation-based and also based on a reanalysis of published datasets; it would benefit from experimental validation to support their findings. Differential expression analysis of large datasets likely yields some differences in the transcriptome. How significant are these changes?<br /> Does the expression of eRNAs affect the expression of genes in cis? Although this analysis would provide some associated gene expression differences, it can also provide some insights into subtype-specific differences in gene expression programs.<br /> If the authors find experimental validations are not feasible, I recommend validating the eRNA signature in an independent dataset.

      Response: We acknowledge the weaknesses noticed by the reviewer from this study about the correlation-based analyses of published datasets. While the TCGA eRNA atlas datasets are reanalysed, these are the high-resolution maps ever published on eRNA expression on cancer patient samples, and our study is the first to establish the subtype specific classification of eRNAs. We believe that the eRNAs are biologically relevant, as they are strongly associated with the subtype-specific pathways and epigenetic regulators. Upon suggestion from the reviewers, we will explore the association of mRNAs and eRNAs in cis to establish further significance and relevance of the eRNAs we identified (discussed earlier in reviewer 1 comments).

      We would like to focus on studying the functional relevance of eRNAs as a separate project. In vitro studies to establish the knockdown of eRNAs are not straightforward due to the toxicity and non-specific targeting of the locked nucleic acids approach or Cas13-based RNA targeting. siRNA-based approaches don't target the nuclear eRNAs effectively, even though they were widely used by other labs to target eRNAs. Hence, a lot of effort on optimisations are needed to establish functional validation of our eRNAs, hence not under the scope and time frame of this study/revision. To provide validation and significance using independent datasets, we will explore the association of these factors with the expression of subtype-specific eRNAs further in our final revised manuscript using the tools explained above for reviewer 1 (PEGS and Perturb-seq integration). Integration of our classified eRNAs with the published Perturb-seq validated regions from ER+ and ER- breast cancer cell lines will provide the functional validation of patient-associated classified enhancer/eRNAs. Hence, our study would be the first to demonstrate the validated gene-enhancer regulatory networks from breast cancer patient datasets.

      Furthermore, we included the single gene visualisation profiles of independent datasets of ER ChIP-seq from different patients (Ross-Innes et al., 2012), ATAC-seq from TCGA patients (Corces et al., 2018), H3K27ac ChIP-seq datasets from cell lines (Theodorou et al., 2013 and Hickey et al., 2021) and GRO-seq and CAGE data published in MCF7 cells close to the eRNA regions and discussed their overlap with the eRNA regions in the revised manuscript. In the final revision, we will perform further detailed integration of all these profiles. Overall, our study will provide the integratory analysis of various independent epigenetic and functional profiles to validate our classified subtype and survival-specific eRNA regions.

      Here are major points; addressing these points in the revised version is important.

      From Figure 1B, what eRNAs were identified for LumB using log2MC?

      Response: The authors acknowledge the lack of analyses on LumB eRNAs in the original version of the manuscript. In the final revised manuscript after associating with mRNAs, we will provide the heatmaps, pathway analyses and other functional annotations for LumB specific eRNAs.

      Page 8 However, sensitivity and F-measure .... It would help to include the metrics for the number of patients in each subtype. The ratio of eRNAs/number of cases in each subtype would inform if the number of eRNAs is an outcome of no. of cases or subgroup-specific.

      Response: This is a great suggestion from the reviewer, and we included the number of patients for each subtype in the table in Fig. 1D. We observed that the basal patients are low in number, but we identified more basal eRNAs. Hence, the number of eRNAs identified in subtype-specific manner is not correlated to the number of patients in the cohort.

      Page 9 "Altogether, both measurements classify eRNAs efficiently based on subtypes, InfoGain allowed us to distinguish further samples based on high and low expression of eRNAs for basal subtype and performed better in statistical metrics" Based on statistical metrics, both models seem to be performing similarly except for Her2.

      Response: We apologise for this wrong interpretation. We corrected this in the revised manuscript at page 9.

      In Fig. 1B, the F-measure metrics are wrong for basal LogMC, as it is 0.94 rather than 0.54, which could lead to a misinterpretation of the model.

      Response: We apologise for the mistake in this figure, and we included the corrected heatmap in the revised manuscript.

      Many genome browser figures, including Figure S3. TFBS is not at the same site as eRNAs detected. Is there CAGE data to show that binding these TFs at these sites leads to the expression of eRNAs? That will give direct evidence that the eRNAs are transcribed due to these TFs

      Response: This is a great suggestion from the reviewer. We incorporated ATAC-seq, H3K27ac ChIP-seq, CAGE and GRO-seq data on the gene profiles in Fig. S3 to validate the activity of these ER binding sites in the preliminarily revised manuscript. We observed that all the ER binding sites are accompanied by open and active enhancer marks with bidirectional transcription (either GRO- or CAGE positive) but they are not on the exact location of eRNA regions (250-1000 bps away from the centre of ER binding site). Subtype-specific eRNA regions close to genes like MLPH and XBP1 possess active bidirectional transcribing ER binding sites far away from subtype-specific eRNA loci and also ER unbound sites. However, these distal ER binding sites are close to the regions from the list of 300K eRNA loci and they were simply not identified as subtype-specific regions.

      Page 10, There were 30 Her2-specific eRNA regions.... Do the same enhancers also regulate these genes as those from which eRNAs are transcribed? Is it cis-effect, or could these affect the trans-regulating of other genes?

      Response: We acknowledge the concern from the reviewer, however this is hard to be validated, as functional experiments to explore the 3D interactions of enhancers and gene promoters are not robust enough to be performed in patient samples and can't be performed within the revision time frame. In the final revised manuscript, we will explore the association of enhancers and promoters of ERBB2 with PEGS association as discussed above and with available HiC datasets in Her2+ cell lines (HCC1954, GSE167150, Kim et al., 2022 https://pubmed.ncbi.nlm.nih.gov/35513575/ )

      Minor comments:

      Page 8 "InfoGain meausure..." Fig. S2A also shows high and low expressed eRNAs for the basal group

      Response: We apologise for the lack of clarity here. InfoGain measure identifies both high and low expressed eRNAs in all patients showing similar pattern of regulation among patients. However, logmc derived eRNAs are highly expressed in most patients. Low expressed eRNAs could not be identified in logmc measure as strong as InfoGain regions. The text in the results had been edited in the revised manuscript to reflect better clarity on this point.

      Page 11, Our analyses also identified the role of another..... The statement is misleading as it is the enrichment of these TFs with the eRNAs<br /> Response: We included the word “enrichment” to clarify this statement.

      Page 13, "Around 90% of eRNAs are bidirectional and non-polyadenylated [53]. TCGA expression datasets are based on RNA-seq assays, which capture only non-polyadenylated RNAs. Thus, analysing the expression of eRNAs on mRNA-seq datasets might not be adequate". It is very confusing, please check<br /> Response: We apologise for the mistake, and this has been corrected in the revised manuscript.

      Reviewer #3 (Significance (Required)):

      This is an important topic and a highly relevant approach to identifying RNA-based biomarkers.<br /> They analyse published RNAseq datasets by focusing on molecular subtype-specific eRNAs, enhancing clinical relevance and thereby addressing the heterogeneity of the cancer type (strength of the study).

    1. Reviewer #1 (Public review):

      Summary:

      Argunşah et al. describe and investigate the mechanisms underlying the differential response dynamics of barrel vs septa domains of the whisker-related primary somatosensory cortex (S1). Upon repeated stimulation, the authors report that the response ratio between multi- and single-whisker stimulation increases in layer (L) 4 neurons of the septal domain, while remaining constant in barrel L4 neurons. This difference is attributed to the short-term plasticity properties of interneurons, particularly somatostatin-expressing (SST+) neurons. This claim is supported by the increased density of SST+ neurons found in L4 of the septa compared to barrels, along with a stronger response of (L2/3) SST+ neurons to repeated multi- vs single-whisker stimulation. The role of the synaptic protein Elfn1 is then examined. Elfn1 KO mice exhibited little to no functional domain separation between barrel and septa, with no significant difference in single- versus multi-whisker response ratios across barrel and septal domains. Consistently, a decoder trained on WT data fails to generalize to Elfn1 KO responses. Finally, the authors report a relative enrichment of S2- and M1-projecting cell densities in L4 of the septal domain compared to the barrel domain.

      Strengths:

      This paper describes and aims to study a circuit underlying differential response between barrel columns and septal domains of the primary somatosensory cortex. This work supports the view that barrel and septal domains contribute differently to processing single versus multi-whisker inputs, suggesting that the barrel cortex multiplexes sensory information coming from the whiskers in different domains.

      Weaknesses:

      While the observed divergence in responses to repeated SWS vs MWS between the barrel and septal domains is intriguing, the presented evidence falls short of demonstrating that short-term plasticity in SST+ neurons critically underpins this difference. The absence of a mechanistic explanation for this observation limits the work's significance. The measurement of SST neurons' response is not specific to a particular domain, and the Elfn1 manipulation does not seem to be specific to either stimulus type or a particular domain. The study's reach is further constrained by the fact that results were obtained in anesthetized animals, which may not generalize to awake states. The statistical analysis appears inappropriate, with the use of repeated independent tests, dramatically boosting the false positive error rate. Furthermore, the manuscript suffers from imprecision; its conclusions are occasionally vague or overstated.

      The authors suggest a role for SST+ neurons in the observed divergence in SWS/MWS responses between barrel and septal domains. However, this remains speculative, and some findings appear inconsistent. For instance, the increased response of SST+ neurons to MWS versus SWS is not confined to a specific domain. Why, then, would preferential recruitment of SST+ neurons lead to divergent dynamics between barrel and septal regions? The higher density of SST+ neurons in septal versus barrel L4 is not a sufficient explanation, particularly since the SWS/MWS response divergence is also observed in layers 2/3, where no difference in SST+ neuron density is found. Moreover, SST+ neuron-mediated inhibition is not necessarily restricted to the layer in which the cell body resides. It remains unclear through which differential microcircuits (barrel vs septum) the enhanced recruitment of SST+ neurons could account for the divergent responses to repeated SWS versus MWS stimulation.

      The Elfn1 KO mouse model seems too unspecific to suggest the role of the short-term plasticity in SST+ neurons in the differential response to repeated SWS vs MWS stimulation across domains. Why would Elfn1-dependent short-term plasticity in SST+ neurons be specific to a pathway, or a stimulation type (SWS vs MWS)? Moreover, the authors report that Elfn1 knockout alters synapses onto VIP+ as well as SST+ neurons (Stachniak et al., 2021; previous version of this paper)-so why attribute the phenotype solely to SST+ circuitry? In fact, the functional distinctions between barrel and septal domains appear largely abolished in the Elfn1 KO.

    2. Reviewer #2 (Public review):

      Summary:

      Argunsah and colleagues demonstrate that SST-expressing interneurons are concentrated in the mouse septa and differentially respond to repetitive multi-whisker inputs. Identifying how a specific neuronal phenotype impacts responses is an advance.

      Strengths:

      (1) Careful physiological and imaging studies.

      (2) Novel result showing the role of SST+ neurons in shaping responses.

      (3) Good use of a knockout animal to further the main hypothesis.

      (4) Clear analytical techniques.

      Weaknesses:

      No major weaknesses were identified by this reviewer. Overall I appreciated the paper but feel it overlooked a few issues and had some recommendations on how additional clarifications could strengthen the paper. These include:

      (1) Significant work from Jerry Chen on how S1 neurons that project to M1 versus S2 respond in a variety of behavioral tasks should be included (e.g. PMID: 26098757). Similarly, work from Barry Connor's lab on intracortical versus thalamocortical inputs to SST neurons, as well as excitatory inputs onto these neurons (e.g. PMID: 12815025) should be included.

      (2) Using Layer 2/3 as a proxy to what is happening in layer 4 (~line 234). Given that layer 2/3 cells integrate information from multiple barrels, as well as receiving direct VPm thalamocortical input, and given the time window that is being looked at can receive input from other cortical locations, it is not clear that layer 2/3 is a proxy for what is happening in layer 4.

      (3) Line 267, when discussing distinct temporal response, it is not well defined what this is referring to. Are the neurons no longer showing peaks to whisker stimulation, or are the responses lasting a longer time? It is unclear why PV+ interneurons which may not be impacted by the Elfn1 KO and receive strong thalamocortical inputs, are not constraining activity.

      (4) Line 585 "the earliest CSD sink was identified as layer 4..." were post-hoc measurements made to determine where the different shank leads were based on the post-hoc histology?

      (5) For the retrograde tracing studies, how were the M1 and S2 injections targeted (stereotaxically or physiologically)? How was it determined that the injections were in the whisker region (or not)?

      (6) Were there any baseline differences in spontaneous activity in the speta versus barrel regions, and did this change in the KO animals?

    1. Reviewer #1 (Public review):

      The manuscript titled "The distinct role of human PIT in attention control" by Huang et al. investigates the role of the human posterior inferotemporal cortex (hPIT) in spatial attention. Using fMRI experiments and resting-state connectivity analyses, the authors present compelling evidence that hPIT is not merely an object-processing area, but also functions as an attentional priority map, integrating both top-down and bottom-up attentional processes. This challenges the traditional view that attentional control is localized primarily in frontoparietal networks.

      The manuscript is strong and of high potential interest to the cognitive neuroscience community. Below, I raise questions and suggestions to help with the reliability, methodology, and interpretation of the findings.

      (1) The authors argue that hPIT satisfies the criteria for a priority map, but a clearer justification would strengthen this claim. For example, how does hPIT meet all four widely recognized criteria, such as spatial selectivity, attentional modulation, feature invariance, and input integration, when compared to classical regions such as LIP or FEF? A more systematic summary of how hPIT meets these benchmarks would be helpful. Additionally, to what extent are the observed attentional modulations in hPIT independent of general task difficulty or behavioral performance?

      (2) The authors report that hPIT modulation is invariant to stimulus category, but there appear to be subtle category-related effects in the data. Were the face, scene, and scrambled images matched not only in terms of luminance and spatial frequency, but also in terms of factors such as semantic familiarity and emotional salience? This may influence attentional engagement and bias interpretation.

      (3) The result that attentional load modulates hPIT is important and adds depth to the main conclusions. However, some clarifications would help with the interpretation. For example, were there observable individual differences in the strength of attentional modulation? How consistent were these effects across participants?

      (4) The resting-state data reveal strong connections between hPIT and both dorsal and ventral attention networks. However, the analysis is correlational. Are there any complementary insights from task-based functional connectivity or latency analyses that support a directional flow of information involving hPIT? In addition, do the authors interpret hPIT primarily as a convergence hub receiving input from both DAN and VAN, or as a potential control node capable of influencing activity in these networks? Also, were there any notable differences between hemispheres in either the connectivity patterns or attentional modulation?

      (5) A few additional questions arise regarding the anatomical characteristics of hPIT: How consistent were its location and size across participants? Were there any cases where hPIT could not be reliably defined? Given the proximity of hPIT to FFA and LOp, how was overlap avoided in ROI definition? Were the functional boundaries confirmed using independent contrasts?

    2. Reviewer #2 (Public review):

      Summary

      This study investigates the role of the human posterior inferotemporal cortex (hPIT) in attentional control, proposing that hPIT serves as an attentional priority map that integrates both top-down (endogenous) and bottom-up (exogenous) attentional processes. The authors conducted three types of fMRI experiments and collected resting-state data from 15 participants. In Experiment 1, using three different spatial attention tasks, they identified the hPIT region and demonstrated that this area is modulated by attention across tasks. In Experiment 2, by manipulating the presence or absence of visual stimuli, they showed that hPIT exhibits strong attentional modulation in both conditions, suggesting its involvement in both bottom-up and top-down attention. Experiment 3 examined the sensitivity of hPIT to stimulus features and attentional load, revealing that hPIT is insensitive to stimulus category but responsive to task load - further supporting its role as an attentional priority map. Finally, resting-state functional connectivity analyses showed that hPIT is connected to both dorsal and ventral attention networks, suggesting its potential role as a bridge between the two systems. These findings extend prior work on monkey PITd and provide new insights into the integration of endogenous and exogenous attention.

      Strengths

      (1) The study is innovative in its use of specially designed spatial attention tasks to localize and validate hPIT, and in exploring the region's role in integrating both endogenous and exogenous attention, as prior works focus primarily on its involvement in endogenous attention.

      (2) The authors provided very comprehensive experiment designs with clear figures and detailed descriptions.

      (3) A broad range of analyses was conducted to support the hypothesis that hPIT functions as an attentional priority map -- including experiments of attentional modulation under both top-down and bottom-up conditions, sensitivity to stimulus features and task load, and resting-state functional connectivity. These analyses showed consistent results.

      (4) Multiple appropriate statistical analyses - including t-tests, ANOVAs, and post-hoc tests - were conducted, and the results are clearly reported.

      Weaknesses

      (1) The sample size is relatively small (n = 15), and inter-subject variability is big in Figures 5 and 6, as seen in the spread of individual data points and error bars. The analysis of attention-modulated voxel map intersections appears to be influenced by multiple outliers.

      (2) The authors acknowledge important limitations, including the lack of exploration of feature-based attention and the temporal constraints inherent to fMRI.

      (3) Prior research has established that regions such as the prefrontal cortex (PFC) and posterior parietal cortex (PPC) are involved in both endogenous and exogenous attention and have been proposed as attentional priority maps. It remains unclear what is uniquely contributed by hPIT, how it functionally interacts with these classical attentional hubs, and whether its role is complementary or redundant. The study would benefit from more direct comparisons with these regions.

      (4) The functional connectivity analysis is only performed on resting-state data, and this approach does not capture context-dependent interactions. Task-based data analysis can provide stronger evidence.

      (5) The study does not report whether attentional modulation in hPIT is consistent across the two hemispheres. A comparison of hemispheric effects could provide important insight into lateralization and inter-individual variability, especially given the bilateral localization of hPIT.

    3. Author response:

      Reviewer #1 (Public review):

      The manuscript titled "The distinct role of human PIT in attention control" by Huang et al. investigates the role of the human posterior inferotemporal cortex (hPIT) in spatial attention. Using fMRI experiments and resting-state connectivity analyses, the authors present compelling evidence that hPIT is not merely an object-processing area, but also functions as an attentional priority map, integrating both top-down and bottom-up attentional processes. This challenges the traditional view that attentional control is localized primarily in frontoparietal networks.

      The manuscript is strong and of high potential interest to the cognitive neuroscience community. Below, I raise questions and suggestions to help with the reliability, methodology, and interpretation of the findings.

      Thank you for a nice summary of the key points of our study. Below you will find our responses to your questions.

      (1) The authors argue that hPIT satisfies the criteria for a priority map, but a clearer justification would strengthen this claim. For example, how does hPIT meet all four widely recognized criteria, such as spatial selectivity, attentional modulation, feature invariance, and input integration, when compared to classical regions such as LIP or FEF? A more systematic summary of how hPIT meets these benchmarks would be helpful. Additionally, to what extent are the observed attentional modulations in hPIT independent of general task difficulty or behavioral performance?

      Great suggestions! For the first suggestion, we will include a clearer justification in the revised manuscript. For the second one, all participants received task practice prior to scanning, and task accuracy exceeded 90% (we will explicitly report the accuracy rate in revision), suggesting the tasks were not overly demanding. Although ceiling effects limit the interpretability of behavioral-performance correlations, we argue that higher task demands would likely require greater attentional effort, leading to stronger modulation in hPIT, which aligns with our findings when we manipulated the attentional load.

      (2) The authors report that hPIT modulation is invariant to stimulus category, but there appear to be subtle category-related effects in the data. Were the face, scene, and scrambled images matched not only in terms of luminance and spatial frequency, but also in terms of factors such as semantic familiarity and emotional salience? This may influence attentional engagement and bias interpretation.

      The response of hPIT is generally insensitive to stimulus category, however, the reviewer is correct in noticing that attentional modulation in hPIT is slightly stronger to faces than scenes and scrambled images. Although faces used in the task had neutral expressions and the scene pictures were also neutral, it is indeed possible that potential semantic familiarity or emotional salience may contribute to the subtle category-related effects in the results of experiment 3. This point will be noted in the revised manuscript.

      (3) The result that attentional load modulates hPIT is important and adds depth to the main conclusions. However, some clarifications would help with the interpretation. For example, were there observable individual differences in the strength of attentional modulation? How consistent were these effects across participants?

      Yes, individual differences exist. In the revised manuscript, we will include individual subject data points in the figure 6B.

      (4) The resting-state data reveal strong connections between hPIT and both dorsal and ventral attention networks. However, the analysis is correlational. Are there any complementary insights from task-based functional connectivity or latency analyses that support a directional flow of information involving hPIT? In addition, do the authors interpret hPIT primarily as a convergence hub receiving input from both DAN and VAN, or as a potential control node capable of influencing activity in these networks? Also, were there any notable differences between hemispheres in either the connectivity patterns or attentional modulation?

      We agree that besides resting-state connection, task-based functional connectivity analyses would have the potential to provide additional information about whether hPIT serves as a convergence node or a control hub. While fMRI data are not the best to generate directional flow of information due to the low temporal resolution, we will conduct task-based functional connectivity analyses.

      We also observed modest hemispheric asymmetries in connectivity—for instance, both left and right hPIT showed stronger connectivity with right-hemisphere attention nodes. This will be described in the revised supplement.

      (5) A few additional questions arise regarding the anatomical characteristics of hPIT: How consistent were its location and size across participants? Were there any cases where hPIT could not be reliably defined? Given the proximity of hPIT to FFA and LOp, how was overlap avoided in ROI definition? Were the functional boundaries confirmed using independent contrasts?

      The size and location of hPIT are generally consistent across subjects, as shown in Supplementary Figure 1. The consistency is also supported by figure 4C. The hPIT is defined by conjunction maps across three tasks and then manually delineated avoiding overlapping voxels with FFA and LOp. The FFA was defined using an independent contrast (Exp3 contrast [face-scene]) and the Lop location was defined by anatomical parcellation (Glasser et al., 2016).

      Reviewer #2 (Public review):

      Summary

      This study investigates the role of the human posterior inferotemporal cortex (hPIT) in attentional control, proposing that hPIT serves as an attentional priority map that integrates both top-down (endogenous) and bottom-up (exogenous) attentional processes. The authors conducted three types of fMRI experiments and collected resting-state data from 15 participants. In Experiment 1, using three different spatial attention tasks, they identified the hPIT region and demonstrated that this area is modulated by attention across tasks. In Experiment 2, by manipulating the presence or absence of visual stimuli, they showed that hPIT exhibits strong attentional modulation in both conditions, suggesting its involvement in both bottom-up and top-down attention. Experiment 3 examined the sensitivity of hPIT to stimulus features and attentional load, revealing that hPIT is insensitive to stimulus category but responsive to task load - further supporting its role as an attentional priority map. Finally, resting-state functional connectivity analyses showed that hPIT is connected to both dorsal and ventral attention networks, suggesting its potential role as a bridge between the two systems. These findings extend prior work on monkey PITd and provide new insights into the integration of endogenous and exogenous attention.

      Strengths

      (1) The study is innovative in its use of specially designed spatial attention tasks to localize and validate hPIT, and in exploring the region's role in integrating both endogenous and exogenous attention, as prior works focus primarily on its involvement in endogenous attention.

      (2) The authors provided very comprehensive experiment designs with clear figures and detailed descriptions.

      (3) A broad range of analyses was conducted to support the hypothesis that hPIT functions as an attentional priority map -- including experiments of attentional modulation under both top-down and bottom-up conditions, sensitivity to stimulus features and task load, and resting-state functional connectivity. These analyses showed consistent results.

      (4) Multiple appropriate statistical analyses - including t-tests, ANOVAs, and post-hoc tests - were conducted, and the results are clearly reported.

      Thank you for a nice summary of the key points and strengths of our study.

      Weaknesses

      (1) The sample size is relatively small (n = 15), and inter-subject variability is big in Figures 5 and 6, as seen in the spread of individual data points and error bars. The analysis of attention-modulated voxel map intersections appears to be influenced by multiple outliers.

      We agree that the sample size (n = 15) is not ideal, and we acknowledge that some data points in Figures 5 and 6 appear to be potential outliers. However, according to conventional outlier detection criteria, all data points are within three standard deviations of the group mean and were therefore retained for analysis. Moreover, the attention-modulated voxel intersection map shown in Figure 4C is insensitive to outliers, because the intersection map plotted is based on the number of subjects.

      (2) The authors acknowledge important limitations, including the lack of exploration of feature-based attention and the temporal constraints inherent to fMRI.

      Yes, we hope to address these limitations in future studies.

      (3) Prior research has established that regions such as the prefrontal cortex (PFC) and posterior parietal cortex (PPC) are involved in both endogenous and exogenous attention and have been proposed as attentional priority maps. It remains unclear what is uniquely contributed by hPIT, how it functionally interacts with these classical attentional hubs, and whether its role is complementary or redundant. The study would benefit from more direct comparisons with these regions.

      In this study, we define the ROI base on intersection across three different types of spatial attention tasks, and the hPIT stands out in showing spatial attentional modulation across tasks. This could be due to the weak lateralized responses in PFC/PPC. To evaluate whether a region qualifies as a priority map, we applied four criteria (as mentioned in introduction). While dorsal and ventral attention network (DAN and VAN) regions can be considered important components of the priority map system, our findings suggest that among the regions tested, hPIT meets all four criteria. In Experiment 2, we included regions such as VFC (as part of PFC) and IPS (as part of PPC), and our findings suggest these areas are more involved in top-down attention. We agree with the reviewer’s suggestion and will perform additional analysis on PPC and PFC.

      (4) The functional connectivity analysis is only performed on resting-state data, and this approach does not capture context-dependent interactions. Task-based data analysis can provide stronger evidence.

      We acknowledge that resting-state FC is limited in assessing task-specific communication. To further investigate the role of hPIT, we plan to conduct task-based functional connectivity analyses.

      (5) The study does not report whether attentional modulation in hPIT is consistent across the two hemispheres. A comparison of hemispheric effects could provide important insight into lateralization and inter-individual variability, especially given the bilateral localization of hPIT.

      We thank the reviewer for this suggestion. hPIT was localized bilaterally using the same intersection-based method in Experiment 1. We have now performed additional analysis and found in Experiment 3, the difference in attentional modulation between high and low load conditions was significant in the right hPIT but not in the left. This result will be reported in the revised manuscript.

    1. Reviewer #2 (Public review):

      This is an interesting study in Drosophila comparing potentially differential requirements for subsets of Kenyon Cells (KCs) and Dopaminergic neurons (DANS) in olfactory dishabituation driven by either a novel odor ("homosensory") or footshock ("heterosensory). The authors measure olfactory aversion to Octanol (OCT) in a T-maze, induce olfactory habituation with a 4-minute prior exposure to OCT, and use either brief yeast odor (YO) or footshock (FS) to achieve dishabituation. The major observation that YO-mediated dishabituation is mediated by reward-activated DANs (PAM cluster), while FS-mediated dishabituation is mediated by punishment-activated PPL-DANs is generally solid and convincing. Also convincing are experiments showing the involvement of KCs in the pathway for YO and FS-induced dishabituation, and the argument that KCs drive DAN activation that causes dishabituation, though not experimentally shown, is more than reasonable. The work is significant because, as the authors take pains to point out, circuits and pathways for dishabituation have been very lightly studied, and clear identification of dopaminergic neuron subsets in dishabituation achieved by different means represents unique and interesting progress.

      However, the claim that this represents a fundamental difference between homosensory and heterosensory pathways for dishabituation is overstated. The introductory section does not adequately present current broad models for habituation and dishabituation. There are many different time scales, even for Drosophila olfactory habituation. These, as well as potential underlying mechanistic differences, need to be acknowledged; any claim should be specifically qualified for the time scales being studied here. Additionally, there are several unclear, vague, and inaccurate sections and statements. A more careful, precise, and considered presentation of current views, as well as more measured claims of the impact of the findings, would substantially enhance my enthusiasm.

    2. Author response:

      Below, we will address point by point any and all concerns of the reviewers.

      Reviewer #1:

      There are no major concerns, but some material could be added for clarity and to make the work more accessible to a more general scientific audience.

      We will add text for clarity and to make the work more accessible to a general audience per this comment and similar suggestions of the other reviewers.

      (1.1) A figure clearly showing the habituation protocol and the use of the dishabituators would be a good addition, even if the procedure has been done before and is cited. There can always be readers who are seeing this for the first time.

      We do think this is a good idea as the time scales of the experiment will be clearly marked as well and we plan to generate one in the revised manuscript.

      (1.2) It would also be nice to comment on other ways dishabituation can happen (for example, when the stimulus is removed for a short time and returns) and what their time scales are.

      If the stimulus is withheld, spontaneous recovery occurs, a process distinct from dishabituation and worth exploring on its own. In a previous publication (Semelidou et al. eLife 2018;7:e39569), we have shown that in this habituation paradigm with 4 min exposure either to the aversive Octanol, or the attractive Ethyl Acetate, spontaneous recovery occurs on or after 6 minutes after the habituated stimulus is withheld. This contrasts the immediate effect of the single dishabituating stimulus, delivered for a few seconds at the end of exposure to the habituator. Granted that per Thomson (Neurobiol Learn Mem. 2009), spontaneous recovery is a characteristic of habituation, we will work this point in the text.

      (1.3) And more generally, the paper could perhaps improve by making a stronger case for why the results are important not just for flies but for neuroscience in general.

      Thank you for the encouragement. We will try to rationally generalize our findings.

      Reviewer #2:

      (2.1) However, the claim that this represents a fundamental difference between homosensory and heterosensory pathways for dishabituation is overstated.

      We had no intention of stating more than the fact that footshock and yeast odor dishabituators relay these stimuli to the mushroom bodies via distinct dopaminergic neurons, hence differentiating distinct dishabituating stimuli via the mechanosensory (footshock) and olfactory (yeast odor) modalities as they engage the mushroom bodies. As the reviewer suggests we will use more measured and specific language to state the above.

      (2.2) The introductory section does not adequately present current broad models for habituation and dishabituation.

      This was not done intentionally, but rather because we aimed at a less extended introductory section and ostensibly this resulted in brief and possibly inadequate presentation of current habituation models. We will present a much more detailed introduction and detail of habituation and dishabituation models in the revised manuscript (Also see reply to point 3.5 below).

      (2.3) There are many different time scales, even for Drosophila olfactory habituation. These, as well as potential underlying mechanistic differences, need to be acknowledged; any claim should be specifically qualified for the time scales being studied here.

      We understand and appreciate the point of the reviewer, as well as its significance and we will address this both in the revised text, but also by the paradigm figure we will add as stated above (point 1.1), where the time scales will be explicitly included and emphasized.

      (2.4) Additionally, there are several unclear, vague, and inaccurate sections and statements. A more careful, precise, and considered presentation of current views, as well as more measured claims of the impact of the findings, would substantially enhance my enthusiasm.

      We will address these concerns of course, though pointing out the specific offending parts would ascertain addressing them thoroughly. As stated above, we will incorporate current views in the introduction and when discussing our results and their impact.

      Reviewer #3:

      (3.1) The key issue is that the main concepts of this manuscript appear to be based on a misunderstanding/misinterpretation of the literature. As the authors set out to settle the debate "whether the novel dishabituating stimulus elicits sensitization of the habituated circuits, or it engages distinct neuronal routes to bypass habituation reinstating the naïve response", it seems that the authors based their investigation on the premise that "sensitization" is mediated by a facilitatory process within the S-R pathway, and "dishabituation" by a facilitatory process outside the S-R pathway. This is not the status quo in the field, particularly with the prevailing theory like the Dual-Process Theory.

      We appreciate the reviewer’s comment and the opportunity to clarify the conceptual framework of our work. Our intention was in fact to test the Groves and Thomson hypothesis (Neurobiol Learn Mem. 2009), in our olfactory habituation system. As such, dishabituation could have been the result of a facilitatory process within the S-R pathway, or from mechanisms outside of it. Our experimental design allowed to distinguish these possibilities and our results clearly show that dishabituation involves circuitry outside the S-R pathway. We do thank the reviewer for pointing out that we have not articulated clearly this intention and we will take care to communicate this effectively in the revised manuscript.

      (3.2) The original version of Dual-Process Theory (Groves and Thompson 1970, but also see Thompson 2008, Neurobiol Learn Mem) already hypothesized that habituation happens within the specific S-R pathway, and sensitization occurs separately in an "organism-wide" state system that modulates the output of all S-R pathways.

      As mentioned above, we are aware of the Dual-Process hypothesis. In fact, our data demonstrate that activity outside the olfactory S-R pathway, engaging novel neuronal circuits, mediates dishabituation. Unlike habituation, these circuits mediating dishabituation include at minimum, the mushroom bodies, the dopaminergic system and the APL neurons. In our view this does not support the “organism-wide state” system, but rather particular circuits that in agreement with the Groves and Thomson hypothesis, are outside the S-R pathway and modulate its behavioral output. We will work these concepts in the discussion section of the revised manuscript.

      (3.3) Dishabituation is recognized by the Dual-Process Theory as sensitization (organism-wide facilitation) manifested on top of existing habituation (depressed S-R pathway). This notion has been supported by a wide range of studies, including cat spinal cord reflex (e.g. Spencer et al. 1966) and work in Aplysia on heterosynaptic facilitation for both sensitization and dishabituation. Therefore, simply showing that the newly identified facilitatory pathways are outside the S-R habituation pathway is insufficient to demonstrate dishabituation.

      We respectfully disagree with the concluding sentence here. In all of our experiments, we observe a clear recovery of olfactory avoidance after exposure to the footshock, or yeast odor dishabituators. Moreover, the dishabituators are emulated by (photo)activation of particular neuronal circuits and the recovery of olfactory avoidance is blocked when these circuits are silenced. Regardless of whether this recovery is classified as dishabituation via sensitization or another facilitatory process, the key point is that the habituated response is reliably reinstated contingent upon the dishabituating stimulus. We believe this meets the established criteria for dishabituation.

      (3.4) As behavioral facilitation of a habituated response can be achieved by dishabituating (specific recovery of the S-R pathway) and/or superimposed sensitizing (organism-wide) processes, dishabituation and sensitization of this olfactory response must be first dissociated; however, the study provided no evidence for the dissociation. Without this piece of evidence, the claim of this paper that the newly identified pathways mediate dishabituation is not fully supported.

      We agree with the reviewer that we have not provided specific evidence dissociating dishabituation and sensitization of the particular olfactory response beyond the evidence implicating particular circuitry in the outcome of facilitation of the olfactory response.

      It should be noted that in photoactivation of the implicated circuitries in naïve flies, we do not observe enhanced octanol avoidance, suggesting that activation of these circuits alone does not induce sensitization. Moreover, our results show that neither footshock nor yeast odor drive an organism-wide sensitization, as silencing specific circuits was sufficient to block dishabituation—something that would not be expected if a global sensitization process was responsible of reinstating the olfactory response.

      Nonetheless, we will also attempt to dissociate sensitization from dishabituation using mutants previously reported deficient in sensitization (Duerr and Quinn, PNAS 1982), assuming these mutants retain normal olfactory habituation. We will also try sensitization protocols in the case of within-modal dishabituation to further clarify the underlying mechanisms. In principle, this includes using diluted Octanol as the habituating stimulus and attempt dishabituation with concentrated octanol.

      (3.5) The literature review of this manuscript has some discrepancies. In the introduction, the authors wrote "initial studies in Aplysia were consistent with the "dual-process theory" (Groves and Thompson 1979), where response recovery due to dishabituation appeared to result from sensitization superimposed on habituation, thus driving reversal of the attenuated response (Carew, Castellucci et al. 1971, Hochner, Klein et al. 1986, Marcus, Nolen et al. 1988, Ghirardi, Braha et al. 1992, Cohen, Kaplan et al. 1997, Antonov, Kandel et al. 1999, Hawkins, Cohen et al. 2006)." Hochner 1986 and Marcus 1988 in fact indicated otherwise. Hochner 1986 suggests that dishabituation and sensitization involve different molecular processes, while Marcus 1988 showed that dishabituation and sensitization have different behavioral characteristics. Therefore, the authors' statement is not supported by the cited literature.

      We are grateful to the reviewer for pointing out these significant discrepancies, consequent of multiple rounds of edits followed by our own oversight. These important publications for this manuscript will be referenced properly in the revised version of the manuscript.

    1. Note: This response was posted by the corresponding author to Review Commons. The content has not been altered except for formatting.

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      Reply to the reviewers

      Manuscript number: RC-2025-03004

      Corresponding author(s): Kentaro Furukawa and Tomotake Kanki

      1. General Statements [optional]

      We would like to thank the reviewers for their constructive and positive feedback. We are encouraged that all three reviewers consider the identification of Mfi2 as an outer mitochondrial membrane fission factor required for mitophagy to be a significant and important contribution to the research field. We acknowledge the concerns raised and propose the following plan to address them through additional experiments and clarifications. We believe that these revisions will further strengthen the manuscript and enhance its impact.

      2. Description of the planned revisions

      Reviewer #1 (Evidence, reproducibility and clarity (Required)):

      Furukawa and colleagues identified Mfi2 as novel factor that promotes fragmentation and removal of damaged mitochondria by mitophagy. They report that parallel loss of Dnm1 and Mfi2 blocks mitophagy. Mfi2 acts on the outer membrane, while the previous found Atg44 functions in the intermembrane space. How the proteins cooperate remains unknown. This is an elegant study with high-quality data. The findings are interesting for a broad readership. There are some issues as outline below that should be solved.

      Response:

      We would like to thank Reviewer #1 for their thoughtful evaluation of our manuscript and for recognizing the interest and quality of the study.

      1. It remains unclear how Mfi2 is anchored into the outer mitochondrial membrane. Does it contain a transmembrane domain? The carbonate resistance indicates the presence of such transmembrane domain. However, the presented structures lack such membrane-spanning segment. This point should be clarified.

      Response:

      We performed an in silico topology prediction of Atg44 and Mfi2 using TMHMM. This tool identified a weakly hydrophobic region of Mfi2 near the N-terminus but did not predict a definitive transmembrane domain (see new Fig. EV1E) (Page 6, lines 8-9). This result implies that Mfi2 interacts with the outer membrane in a monotopic or peripheral manner, rather than as a classical transmembrane protein. Such proteins may remain in the membrane pellet after carbonate treatment due to their strong hydrophobic insertion into the lipid bilayer (e.g., yeast tafazzin/Taz1; Brandner et al., Mol. Biol. Cell, 2005; DOI: 10.1091/mbc.E05-03-0256). We will incorporate this interpretation in the revised manuscript.

      How does Mfi2 cooperate with Dnm1? Is there any interaction between these proteins? Some further information could provide mechanistic insights into the function of Mfi2.

      Response:

      While our study does not explicitly suggest that Mfi2 cooperates with Dnm1, we plan to investigate whether these proteins physically associate. We will perform co-immunoprecipitation experiments under growing and mitophagy-inducing conditions to examine potential interactions between Mfi2 and Dnm1. Further insights into their interaction could help clarify the mechanistic role of Mfi2 in mitochondrial fission and mitophagy.

      The authors report a CL-dependent binding of Mfi2 to liposomes. Is the recruitment of Mfi2 to mitochondria impaired when CL-synthesis is blocked, e.g. in crd1delta mitochondria?

      Response:

      To assess the role of cardiolipin in Mfi2 localization, we will compare the efficiency of mitochondrial targeting of endogenous Mfi2 in WT and crd1Δ cells. Additionally, as mentioned in Reviewer #3's comment, we plan to perform coarse-grained molecular dynamics simulations to further investigate the interaction between Mfi2 and cardiolipin. The results of these simulations will be incorporated into the discussion to provide deeper mechanistic insights.

      Figure 4B: a wild-type control should be added.

      Response:

      We appreciate Reviewer #1’s suggestion to include a WT control in Figure 4B. However, given the focus of this figure on the rescue of mitophagy defects in the mfi2Δ dnm1Δ strain, we believe that adding a WT control is not essential for the analysis. The key comparison here is between the mfi2Δ dnm1Δ strain and the rescue conditions, and statistical analysis was performed to support the conclusions. We hope this clarifies our approach, but we will make adjustments if necessary.

      Reviewer #1 (Significance (Required)):

      The reported findings are interesting for a broad readership.

      Response:

      We appreciate Reviewer #1’s recognition of the relevance of our findings to a broad readership.

      Reviewer #2 (Evidence, reproducibility and clarity (Required)):

      In this study, the authors discover a mitochondrial fission factor, termed Mfi2, that promotes mitophagy efficiency and that functions in a partially redundant way with Dnm1 for the fission of mitochondrial outer membranes during mitophagy. The discovery helps to clarify why Dnm1 does not appear to be essential for fission mediated mitophagy by Dnm1. Mfi2 is structurally similar to the inner membrane fission factor Atg44 which is consistent with Mfi2's fission activity. The authors show that Mfi2 has membrane fission activity towards nanotubes in vitro, and that membrane binding is dependent of high levels of cardiolipin, a mitochondrially enriched lipid. In summary, the authors show that Mfi2 mediates mitochondrial outer membrane fission together with Drp1, whereas Atg44 mediates inner membrane fission, that together are necessary for mitophagy.

      Response:

      We thank Reviewer #2 for the positive assessment and for clearly summarizing the main contributions of our work.

      Major: 1. Figure 2: How do the expression levels of the Mfi2 constructs compare to the endogenous levels of the protein? This will help to gauge to what degree Mfi2 N66 overexpression is needed to achieve mitochondrial fragmentation in Atg44 delta cells and also the low level of mitophagy rescue that was observed.

      Response:

      We used the TDH3 promoter for the expression of Mfi2 in Figures 2D and 2E. Unfortunately, our Mfi2 antibody only detects full-length Mfi2, as it recognizes a C-terminal region of the protein. This means we cannot directly compare the expression levels of Mfi2(N66) to those of endogenous full-length Mfi2. To clarify the expression levels, we will provide the following data:

      (1) Mfi2 antibody: Endogenous Mfi2(Full) and overexpressed Mfi2(Full)

      (2) FLAG antibody: Overexpressed Mfi2(Full)-FLAG and overexpressed Mfi2(N66)-FLAG

      Figure 3A-B: The cardiolipin binding results in vitro are interesting but the concentration of cardiolipin is much lower on the outer membrane versus the inner membrane. Can the authors comment on whether the cardiolipin levels used on the nanotubes are relevant to that of the mitochondrial outer membrane where Mfi2 is located? Can the authors provide quantitative data for these experiments to help strengthen their conclusions?

      Can the authors also use purified MBP alone or a form of Mfi2 that cannot bind to membrane e.g. Mfi2-C33) as a control?

      Response:

      We thank the reviewer for raising this important point regarding our cardiolipin-dependent in vitro data. In our experiments, we used 20 mol% cardiolipin (CL), a concentration higher than the typical levels in the mitochondrial outer membrane, which contains less than 5% CL. However, it is known that CL translocates to the outer membrane under mitophagy-inducing conditions (e.g., Chu et al., Nat Cell Biol, 2013; Kagan et al., Cell Death Differ, 2016). Our use of elevated CL levels aligns with standard practices in in vitro reconstitution assays to ensure adequate membrane curvature and charge density, which are necessary for robust and reproducible protein-membrane interaction assessments.

      To strengthen our conclusions, we will provide a quantitative analysis of the nanotube fission experiments. This will include the percentage of severed tubes under each condition, the total number of tubes analyzed (n), and the relationship between tube diameter and fission efficiency. These additional data will allow for a more thorough evaluation of the membrane fission activity of Mfi2.

      Furthermore, we will include control experiments using purified MBP alone and a membrane-binding-deficient mutant of Mfi2 (C33), as suggested by the reviewer.

      Figure 4D: The protrusions are very difficult to visualize. Can the authors also provide zoomed in regions. Is the data representative from 3 or more independent experiments? Can the authors provide a graph of the quantitation to aid readers with analysis of the data?

      Response:

      We thank the reviewer for this helpful suggestion. In the revised manuscript, we will provide higher magnification images to improve the visibility of mitochondrial protrusions. We confirm that the presented images are representative of results obtained from three independent experiments. Additionally, as requested, we will include a graph quantifying the frequency and morphology of protrusions to facilitate data interpretation.

      Figure 4D: It is fascinating to see the mitochondrial protrusion formation being dependent on autophagy factors but not mitochondrial fission factors. To help visualize this, can the authors image one of either Atg1, Atg8 to address whether phagophores are forming on the protrusions and if so where they are positionally located on the protrusion in control and/or mfi2,dnm1,atg44 triple mutant cells?

      Response:

      We thank the reviewer for this insightful comment. In our previous study (Fukuda et al., Mol Cell, 2023), we demonstrated that Atg proteins, such as Atg8, accumulate at mitochondrial protrusions formed in atg44Δ cells, suggesting that these structures can serve as sites for phagophore assembly. However, as in our previous microscopy analysis, the resolution limitations of our imaging system make it difficult to precisely determine the exact location of phagophores on the protrusions.

      Whether similar recruitment occurs in the absence of both Mfi2 and Dnm1 remains untested. To address this, we will perform fluorescence imaging of fluorescent protein tagged Atg proteins, such as GFP-Atg8, in mfi2Δ dnm1Δ atg44Δ triple mutant cells to examine whether phagophores form on the mitochondrial protrusions under these conditions. This will help us determine whether phagophore formation requires mitochondrial fission or occurs independently of it.

      Minor: 1. Is it possible to target Atg44 to the mitochondrial outer membrane, either by attaching an OM anchor or using part of the N-terminus of Mfi2? This will help elucidate how Mfi2 reaches the outer membrane and whether Atg44 can be just as active on the outer membrane as long as it can access it.

      Response:

      We thank the reviewer for this suggestion. We will construct chimeric proteins between Atg44 and Mfi2 and examine where such proteins are localized. Additionally, we will assess whether these chimeric proteins have the functional activity of Mfi2, as this will help determine if Atg44 can be active on the mitochondrial outer membrane when properly targeted.

      Are microtubules or actin required for the protrusions to form? Using the triple mutant cells that have a high proportion of protrusions, it could be tried to add cytoskeletal depolymerizing drugs such as nocodazole for microtubules or Latrunculin A or Latrunculin B for actin.

      Response:

      We thank the reviewer for this suggestion. We will test the effect of cytoskeletal depolymerizing drugs on protrusion formation in the mfi2Δ dnm1Δ atg44Δ triple mutant cells.

      Reviewer #2 (Significance (Required)):

      Significance: The discovery of Mfi2 as an outer membrane mitophagy fission factor is an exciting, and very important and significant contribution to the field. The data are in this study are clear and the conclusions are generally well supported by the experiments. This study appears to be suitable as a report style manuscript given that there is limited mechanistic analysis of Mfi2 activity. This does not affect the importance of the work, it just means that it is suited as a report of a significant discovery. Overall, this fills an important knowledge gap in solving the mystery behind which factors are involved in mitochondrial outer membrane fission during mitophagy, and provides a clarification why Dnm1 loss alone minimally affects mitophagy. This work will appeal to researchers interested in mitochondrial biology, the autophagy field, and cell biologists interested in organelle membrane dynamics, and is also broadly important and interesting to all cell biologists.

      Reviewer expertise: mitophagy mechanisms, cell biology of mitophagy, autophagy and autophagosome formation, mitochondrial biology including OXPHOS and mitochondrial dynamics

      Response:

      We appreciate Reviewer #2’s comments on the importance and potential impact of our discovery for the mitophagy and cell biology fields.

      Reviewer #3 (Evidence, reproducibility and clarity (Required)):

      The manuscript by Furukawa et al. presents a well-structured and thorough study identifying Mfi2 as a novel mitochondrial outer membrane-resident fission factor required for mitophagy in Saccharomyces cerevisiae. The authors demonstrate that Mfi2, together with the inner membrane mitofissin Atg44 and the dynamin-related GTPase Dnm1, contributes to mitochondrial fragmentation during mitophagy. Importantly, they show that while Dnm1 is dispensable on its own, Mfi2 and Dnm1 act redundantly from the outer membrane to support Atg44-mediated fission. The data are robust, the figures are clear, and the mechanistic insight into how mitophagy-specific fission is achieved is of high relevance to the field of mitochondrial quality control.

      Overall, this is a logically constructed and convincing study with important implications for understanding compartment-specific mechanisms of mitochondrial fission during selective autophagy. The conclusions are largely well supported by the data. However, a few issues and points of clarification should be addressed before publication.

      Response:

      We thank Reviewer #3 for the careful and constructive review and for acknowledging the logical structure and robustness of our data.

      Major Comments

      1. The observation that both Mfi2 and Atg44 require high cardiolipin (CL) content for membrane binding and fission in vitro is intriguing, especially given that CL is enriched in the inner membrane. The authors mention CL externalisation during mitophagy, but this connection could be made more explicit earlier in the manuscript. Furthermore, since the molecular mechanism of membrane interaction remains unresolved, I would strongly encourage the authors to undertake coarse-grained molecular dynamics simulations to explore how Mfi2 might interact with lipid bilayers of differing composition. This could clarify the role of CL and the potential structural contribution of the disordered C-terminal region. Response:

      We thank the reviewer for highlighting the need to clarify the connection between CL externalization and the observed CL-dependent membrane binding and fission activity of Mfi2 and Atg44. While we briefly mentioned CL externalization during mitophagy in the Discussion, we agree that this connection should be made more explicit earlier in the manuscript. In the revised version, we will incorporate a brief rationale in the Results section to clarify that CL translocates to the mitochondrial outer membrane under mitophagy-inducing conditions (e.g., Chu et al., Nat Cell Biol 2013). This will provide a physiological basis for our in vitro reconstitution assays using CL-containing liposomes.

      We also appreciate the reviewer’s suggestion to explore the molecular basis of Mfi2-lipid interaction through coarse-grained molecular dynamics (CGMD) simulations. In collaboration with Dr. Yuji Sakai, we will perform coarse-grained molecular dynamics (CGMD) simulations to investigate how Mfi2 interacts with lipid bilayers of varying compositions, focusing particularly on the role of cardiolipin and the structural contribution of the disordered C-terminal region. If successful, we will include the results in the revised manuscript.

      While the genetic and phenotypic data indicate that Mfi2 and Dnm1 act independently to support mitochondrial fission, the spatial and temporal organisation of their activity during mitophagy remains unclear. Do Mfi2 and Dnm1 colocalise at fission sites, or do they act at separate subdomains of the outer membrane? Live-cell imaging with fluorescently tagged Mfi2 and Dnm1, particularly during mitophagy induction, could help clarify whether these factors act in concert or at distinct locations and time points. This would also help determine whether their apparent redundancy reflects parallel mechanisms or functional compensation at shared sites. It would also be interesting to combine this with Atg44.

      Response:

      We thank the reviewer for this insightful comment. We plan to perform co-localization analysis of Mfi2 and Dnm1 during mitophagy induction to clarify whether these proteins colocalize at fission sites or act at separate subdomains of the outer membrane. Additionally, we will conduct co-immunoprecipitation experiments of Mfi2 and Dnm1 (see also Response to Reviewer #1’s major comment 2) to further investigate their potential interaction. It is challenging to analyze Mfi2, Dnm1, Atg44, and mitochondrial fission sites simultaneously, as fluorescence-tagged Atg44 has been shown to lose its function (Fukuda et al., Mol Cell, 2023).

      Minor Comments

      1. The sodium carbonate extraction and proteinase K assays (Figure 1E-F) are standard but may not be familiar to all readers. A brief explanatory sentence clarifying what these methods reveal about membrane topology would improve accessibility. Response:

      We thank the reviewer for this helpful comment. We have added a brief explanatory sentence in the revised manuscript to clarify the principles and interpretation of the sodium carbonate extraction and proteinase K assays (Page 5, lines 23-25; Page 6, lines 1-3).

      While immunoblot quantifications are shown throughout, it would be helpful to include statistical analysis where appropriate, especially in cases where differences between genotypes or constructs are modest.

      Response:

      Statistical analyses have been added for immunoblot quantifications where appropriate, particularly in cases where differences between genotypes or constructs are modest.

      The naming of Mfi2 as a mitofissin is consistent with previous terminology introduced for Atg44, but the term remains relatively new. A brief clarification distinguishing "mitofissin" from the better-known "mitofusin" family in mammals would help avoid confusion for readers less familiar with yeast-specific nomenclature.

      Response:

      We have added a brief explanation of the term "mitofissin" to distinguish it from the mammalian "mitofusin" family in Introduction (Page 3, line 26-Page 4 line 1).

      Reviewer #3 (Significance (Required)):

      This is a strong and well-executed study that provides mechanistic insight into how mitochondrial fission is coordinated during mitophagy in yeast. A major strength is the identification and characterisation of Mfi2 as a previously unrecognised outer membrane fission factor acting in parallel with Dnm1 and in coordination with the intermembrane space protein Atg44. The genetic, imaging, and in vitro biochemical data are carefully integrated, and the authors are transparent about limitations, including open questions around the C-terminal domain of Mfi2, CL dependence, and the evolutionary conservation of mitofissins.

      The work makes a conceptual advance by showing that mitophagy-specific mitochondrial fission requires the cooperation of spatially separated factors acting from both the inside and outside of mitochondria, a mechanism that had not been fully appreciated. This study helps resolve previous contradictions regarding the dispensability of Dnm1 in mitophagy, thereby filling a gap in our understanding of organelle-specific fission. While the findings are focused on yeast, they raise broader questions about whether similar principles apply to higher eukaryotes (historically yeast research was always at the forefront of autophagy field).

      The study will be of interest to specialists in autophagy, mitochondrial dynamics, and yeast cell biology, as well as researchers working on membrane remodelling and organelle quality control. While the audience is primarily specialised, the conceptual insights will resonate more broadly in the cell biology community.

      I am an expert in mitophagy mechanisms in mammalian cells, and while not a specialist in yeast models, I found the study logical, rigorous, and of clear relevance to the broader autophagy field.

      Response:

      We are grateful for Reviewer #3’s recognition of the conceptual advance provided by our study and its relevance beyond yeast biology.

      3. Description of the revisions that have already been incorporated in the transferred manuscript

      Responses to Reviewer #1:

      ・We performed in silico topology prediction of Atg44 and Mfi2 using TMHMM. This tool identified a weakly hydrophobic region of Mfi2 near the N-terminus but did not predict a definitive transmembrane domain (new Fig. EV1E) (Page 6, lines 8-9).

      Responses to Reviewer #3:

      ・We have added a brief explanatory sentence in the revised manuscript to clarify the methods and interpretation of the sodium carbonate extraction and proteinase K assays (Page 5, lines 23-25; Page 6, lines 1-3).

      ・Statistical analyses have been added for immunoblot quantifications where appropriate, particularly in cases where differences between genotypes or constructs are modest.

      ・We have added a brief explanation of the term "mitofissin" to distinguish it from the mammalian "mitofusin" family in Introduction (Page 3, line 26-Page 4, line 1).

      4. Description of analyses that authors prefer not to carry out

      Response to Reviewer #1 (Major 4):

      We will not include the WT strain as a control. See our response.

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      Referee #2

      Evidence, reproducibility and clarity

      In this study, the authors discover a mitochondrial fission factor, termed Mfi2, that promotes mitophagy efficiency and that functions in a partially redundant way with Dnm1 for the fission of mitochondrial outer membranes during mitophagy. The discovery helps to clarify why Dnm1 does not appear to be essential for fission mediated mitophagy by Dnm1. Mfi2 is structurally similar to the inner membrane fission factor Atg44 which is consistent with Mfi2's fission activity. The authors show that Mfi2 has membrane fission activity towards nanotubes in vitro, and that membrane binding is dependent of high levels of cardiolipin, a mitochondrially enriched lipid. In summary, the authors show that Mfi2 mediates mitochondrial outer membrane fission together with Drp1, whereas Atg44 mediates inner membrane fission, that together are necessary for mitophagy.

      Major:

      1. Figure 2: How do the expression levels of the Mfi2 constructs compare to the endogenous levels of the protein? This will help to gauge to what degree Mfi2 N66 overexpression is needed to achieve mitochondrial fragmentation in Atg44 delta cells and also the low level of mitophagy rescue that was observed.
      2. Figure 3A-B: The cardiolipin binding results in vitro are interesting but the concentration of cardiolipin is much lower on the outer membrane versus the inner membrane. Can the authors comment on whether the cardiolipin levels used on the nanotubes are relevant to that of the mitochondrial outer membrane where Mfi2 is located? Can the authors provide quantitative data for these experiments to help strengthen their conclusions? Can the authors also use purified MBP alone or a form of Mfi2 that cannot bind to membrane e.g. Mfi2-C33) as a control?
      3. Figure 4D: The protrusions are very difficult to visualize. Can the authors also provide zoomed in regions. Is the data representative from 3 or more independent experiments? Can the authors provide a graph of the quantitation to aid readers with analysis of the data?
      4. Figure 4D: It is fascinating to see the mitochondrial protrusion formation being dependent on autophagy factors but not mitochondrial fission factors. To help visualize this, can the authors image one of either Atg1, Atg8 to address whether phagophores are forming on the protrusions and if so where they are positionally located on the protrusion in control and/or mfi2,dnm1,atg44 triple mutant cells?

      Minor:

      1. Is it possible to target Atg44 to the mitochondrial outer membrane, either by attaching an OM anchor or using part of the N-terminus of Mfi2? This will help elucidate how Mfi2 reaches the outer membrane and whether Atg44 can be just as active on the outer membrane as long as it can access it.
      2. Are microtubules or actin required for the protrusions to form? Using the triple mutant cells that have a high proportion of protrusions, it could be tried to add cytoskeletal depolymerizing drugs such as nocodazole for microtubules or Latrunculin A or Latrunculin B for actin.

      Significance

      The discovery of Mfi2 as an outer membrane mitophagy fission factor is an exciting, and very important and significant contribution to the field. The data are in this study are clear and the conclusions are generally well supported by the experiments. This study appears to be suitable as a report style manuscript given that there is limited mechanistic analysis of Mfi2 activity. This does not affect the importance of the work, it just means that it is suited as a report of a significant discovery. Overall, this fills an important knowledge gap in solving the mystery behind which factors are involved in mitochondrial outer membrane fission during mitophagy, and provides a clarification why Dnm1 loss alone minimally affects mitophagy. This work will appeal to researchers interested in mitochondrial biology, the autophagy field, and cell biologists interested in organelle membrane dynamics, and is also broadly important and interesting to all cell biologists.

      Reviewer expertise: mitophagy mechanisms, cell biology of mitophagy, autophagy and autophagosome formation, mitochondrial biology including OXPHOS and mitochondrial dynamics

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      Referee #1

      Evidence, reproducibility and clarity

      Furukawa and colleagues identified Mfi2 as novel factor that promotes fragmentation and removal of damaged mitochondria by mitophagy. They report that parallel loss of Dnm1 and Mfi2 blocks mitophagy. Mfi2 acts on the outer membrane, while the previous found Atg44 functions in the intermembrane space. How the proteins cooperate remains unknown. This is an elegant study with high-quality data. The findings are interesting for a broad readership. There are some issues as outline below that should be solved.

      1. It remains unclear how Mfi2 is anchored into the outer mitochondrial membrane. Does it contain a transmembrane domain? The carbonate resistance indicates the presence of such transmembrane domain. However, the presented structures lack such membrane-spanning segment. This point should be clarified.
      2. How does Mfi2 cooperate with Dnm1? Is there any interaction between these proteins? Some further information could provide mechanistic insights into the function of Mfi2.
      3. The authors report a CL-dependent binding of Mfi2 to liposomes. Is the recruitment of Mfi2 to mitochondria impaired when CL-synthesis is blocked, e.g. in crd1delta mitochondria?
      4. Figure 4B: a wild-type control should be added.

      Significance

      The reported findings are interesting for a broad readership.

    1. Reviewer #1 (Public review):

      I congratulate the authors on this beautiful work.

      This manuscript introduces a biologically informed RNN (bioRNN) that predicts the effects of optogenetic perturbations in both synthetic and in vivo datasets. By comparing standard sigmoid RNNs (σRNNs) and bioRNNs, the authors make a compelling case that biologically grounded inductive biases improve generalization to perturbed conditions. This work is innovative, technically strong, and grounded in relevant neuroscience, particularly the pressing need for data-constrained models that generalize causally.

      I have some suggestions for improvement, which I present in the order of re-reading the paper.

      Major

      (1) In line 76, the authors make a very powerful statement: 'σRNN simulation achieves higher similarity with unseen recorded trials before perturbation, but lower than the bioRNN on perturbed trials.' I couldn't find a figure showing this. This might be buried somewhere and, in my opinion, deserves some spotlight - maybe a figure or even inclusion in the abstract.

      (2) It's mentioned in the introduction (line 84) and elsewhere (e.g., line 259) that spiking has some advantage, but I don't see any figure supporting this claim. In fact, spiking seems not to matter (Figure 2C, E). Please clarify how spiking improves performance, and if it does not, acknowledge that. Relatedly, in line 246, the authors state that 'spiking is a better metric but not significant' when discussing simulations. Either remove this statement and assume spiking is not relevant, or increase the number of simulations.

      (3) The authors prefer the metric of predicting hits over MSE, especially when looking at real data (Figure 3). I would bring the supplementary results into the main figures, as both metrics are very nicely complementary. Relatedly, why not add Pearson correlation or R2, and not just focus on MSE Loss?

      (4) I really like the 'forward-looking' experiment in closed loop! But I felt that the relevance of micro perturbations is very unclear in the intro and results. This could be better motivated: why should an experimentalist care about this forward-looking experiment? Why exactly do we care about micro perturbation (e.g., in contrast to non-micro perturbation)? Relatedly, I would try to explain this in the intro without resorting to technical jargon like 'gradients'.

      Minor

      (1) In the intro, the authors refer to 'the field' twice. Personally, I find this term odd. I would opt for something like 'in neuroscience'.

      (2) Line 45: When referring to previous work using data-constrained RNN models, Valente et al. is missing (though it is well cited later when discussing regularization through low-rank constraints).

      (3) Line 11: Method should be methods (missing an 's').

      (4) In line 250, starting with 'So far', is a strange choice of presentation order. After interpreting the results for other biological ingredients, the authors introduce a new one. I would first introduce all ingredients and then interpret. It's telling that the authors jump back to 2B after discussing 2C.

      (5) The black dots in Figure 3E are not explained, or at least I couldn't find an explanation.

    1. Reviewer #1 (Public review):

      Summary:

      In this manuscript, the authors describe a good-quality ancient maize genome from 15th-century Bolivia and try to link the genome characteristics to Inca influence. Overall, the manuscript is below the standard in the field. In particular, the geographic origin of the sample and its archaeological context is not well evidenced. While dating of the sample and the authentication of ancient DNA have been evidenced robustly, the downstream genetic analyses do not support the conclusion that genomic changes can be attributed to Inca influence. Furthermore, sections of the manuscript are written incoherently and with logical mistakes. In its current form, this paper is not robust and possibly of very narrow interest.

      Strengths:

      Technical data related to the maize sample are robust. Radiocarbon dating strongly evidenced the sample age, estimated to be around 1474 AD. Authentication of ancient DNA has been done robustly. Spontaneous C-to-T substitutions, which are present in all ancient DNA, are visible in the reported sample with the expected pattern. Despite a low fraction of C-to-T at the 1st base, this number could be consistent with the cool and dry climate in which the sample was preserved. The distribution of DNA fragment sizes is consistent with expectations for a sample of this age.

      Weaknesses:

      (1) Archaeological context for the maize sample is weakly supported by speculation about the origin and has unreasonable claims weighing on it. Perhaps those findings would be more convincing if the authors were to present evidence that supports their conclusions: i) a map of all known tombs near La Paz, ii) evidence supporting the stone tomb origins of this assemblage, and iii) evidence supporting non-Inca provenance of the tomb.

      (2) Dismissal of the admixture in the reported samples is not evidenced correctly. Population f3 statistic with an outgroup is indeed one of the most robust metrics for sample relatedness; however, it should not be used as a test of admixture. For an admixture test, the population f3 statistic should be used in the form: i) target population, ii) one possible parental population, iii) another possible parental population. This is typically done iteratively with all combinations of possible parental populations. Even in such a form, the population f3 statistic is not very sensitive to admixture in cases of strong genetic drift, and instead population f4 statistic (with an outgroup) is a recommended test for admixture.

      (3) The geographic placement of the sample based on genetic data is not robust. To make use of the method correctly, it would be necessary to validate that genetic samples in this region follow the assumption of the 'isolation-by-distance' with dense sampling, which has not been done. Additionally, the authors posit that "This suggests that aBM might not only be genetically related to the archaeological maize from ancient Peru, but also in the possible geographic location." The method used to infer the location is based on pure genetic estimation. The above conclusion is not supported by this method, and it directly contradicts the authors' suggestion that the sample comes from Bolivia.

      (4) The conclusion that Ancient Andean maize is genetically similar to European varieties and hence shares a similar evolutionary history is not well supported. The PCA plot in Figure 4 merely represents sample similarity based on two components (jointly responsible for about 20% of the variation explained), and European samples could be very distant based on other components. Indeed, the direct test using the outgroup f3 statistic does not support that European varieties are particularly closely related to ancient Andean maize. Perhaps these are more closely related to Brazil? We do not know, as this has not been measured.

      (5) The conclusion that long branches in the phylogenetic tree are due to selection under local adaptation has no evidence. Long branches could be the result of missing data, nucleotide misincorporations, genetic drift, or simply due to the inability of phylogenetic trees to model complex population-level relationships such as admixture or incomplete lineage sorting. Additionally, captions to Figure S3, do not explain colour-coding.

      (6) The conclusion that selection detected in aBM sample is due to Inca influence has no support. Firstly, selection signature can be due to environmental or other factors. To disentangle those, the authors would need to generate the data for a large number of samples from similar cultural contexts and from a wide-ranging environmental context, followed by a formal statistical test. Secondly, allele frequency increase can be attributed to selection or demographic processes, and alone is not sufficient evidence for selection. The presented XP-EHH method seems more suitable. Overall, methods used in this paper raise some concerns: i) how accurate are allele-frequency tests of selection when only single individual is used as a proxy for a whole population, ii) the significance threshold has been arbitrary fixed to an absolute number based on other studies, but the standard is to use, for example, top fifth percentile. Finally, linking selection to particular GO terms is not strong evidence, as correlation does not imply causation, and links are unclear anyway.

      In sum, this manuscript presents new data that seems to be of high quality, but the analyses are frequently inappropriate and/or over-interpreted.

    2. Reviewer #2 (Public review):

      Summary:

      The manuscript presents valuable new datasets from two ancient maize seeds that contribute to our growing understanding of the maize evolution and biodiversity landscape in pre-colonial South America. Some of the analyses are robust, but the selection elements are not supported.

      Strengths:

      The data collection is robust, and the data appear to beof sufficiently high quality to carry out some interesting analytical procedures. The central finding that aBM maize is closely related to maize from the core Inca region is well supported, although the directionality of dispersal is not supported.

      Weaknesses:

      The selection results are not justified, see examples in the detailed comments below.

      (1) The manuscript mentions cultural and natural selection (line 76), but then only gives a couple of examples of selecting for culinary/use traits. There are many examples of selection to tolerate diverse environments that could be relevant for this discussion, if desired.

      (2) I would be extremely cautious about interpreting the observations of a Spanish colonizer (lines 95-99) without very significant caveats. Indigenous agriculture and foodways would have been far more nuanced than what could be captured in this context, and the genocidal activities of the Europeans would have impacted food production activities to a degree, and any contemporaneous accounts need to be understood through that lens.

      (3) The f3 stats presented in Figure 2 are not set up to test any specific admixture scenarios, so it is unsupported to conclude that the aBM maize is not admixed on this basis (lines 201-202). The original f3 publication (Patterson et al, 2012) describes some scenarios where f3 characteristics associate with admixture, but in general, there are many caveats to this approach, and it's not the ideal tool for admixture testing, compared with e.g., f4 and D (abba-baba) statistics.

      (4) I'm a little bit skeptical that the Locator method adds value here, given the small training sample size and the wide geographic spread and genetic diversity of the ancient samples that include Central America. The paper describing that method (Battey et al 2020 eLife) uses much larger datasets, and while the authors do not specifically advise on sample sizes, they caution about small sample size issues. We have already seen that the ancient Peruvian maize has the most shared drift with aBM maize on the basis of the f3 stats, and the Locator analysis seems to just be reiterating that. I would advise against putting any additional weight on the Locator results as far as geographic origins, and personally I would skip this analysis in this case.

      (5) The overlap in PCA should not be used to confirm that aBM is authentically ancient, because with proper data handling, PCA placement should be agnostic to modern/ancient status (see lines 224-226). It is somewhat unexpected that the ancient Tehuacan maize (with a major teosinte genomic component) falls near the ancient South American maize, but this could be an artifact of sampling throughout the PCA and the lack of teosinte samples that might attract that individual.

      (6) What has been established (lines 250-251) is genetic similarity to the Inca core area, not necessarily the directionality. Might aBM have been part of a cultural region supplying maize to the Inca core region, for example? Without a specific test of dispersal directionality, which I don't think is possible with the data at hand, this is somewhat speculative.

      (7) Singleton SNPs are not a typical criterion for identifying selection; this method needs some citations supporting the exact approach and validation against neutral expectations (line 278). Without Datasets S2 and S3, which are not included with this submission, it is difficult to assess this result further. However, it is very unexpected that ~18,000 out of ~49,000 SNPs would be unique to the aBM lineage. This most likely reflects some data artifact (unaccounted damage, paralogs not treated for high coverage, which are extremely prevalent in maize, etc). I'm confused about unique SNPs in this context. How can they be unique to the aBM lineage if the SNPs used overlap the Grzybowski set? The GO results do not include any details of the exact method used or a statistical assessment of the results. It is not clear if the GO terms noted are statistically enriched.

      (8) The use of XP-EHH with pseudohaplotype variant calls is not viable (line 293). It is not clear what exact implementation of XP-EHH was used, but this method generally relies on phased or sometimes unphased diploid genotype calls to observe shared haplotypes, and some minimum population size to derive statistical power. No implementation of XP-EHH to my knowledge is appropriate for application to this kind of dataset.

    3. Reviewer #3 (Public review):

      Summary:

      The authors seek to place archaeological maize samples (2 kernels) from Bolivia into genetic and geographical context and to assess signatures of selection. The kernels were dated to the end of the Incan empire, just prior to European colonization. Genetic data and analyses were used to characterize the distance from other ancient and modern maize samples and to predict the origin of the sample, which was discovered in a tomb near La Paz, Bolivia. Given the conquest of this region by the Incan empire, it is possible that the sample could be genetically similar to populations of maize in Peru, the center of the Incan empire. Signatures of selection in the sample could help reveal various environmental variables and cultural preferences that shaped maize genetic diversity in this region at that time.

      Strengths:

      The authors have generated substantial genetic data from these archaeological samples and have assembled a data set of published archaeological and modern maize samples that should help to place these samples in context. The samples are dated to an interesting time in the history of South America during a period of expansion of the Incan empire and just prior to European colonization. Much could be learned from even this small set of samples.

      Weaknesses:

      (1) Sample preparation and sequencing:<br /> Details of the quality of the samples, including the percentage of endogenous DN,A are missing from the methods. The low percentage of mapped reads suggests endogenous DNA was low, and this would be useful to characterize more fully. Morphological assessment of the samples and comparison to morphological data from other maize varieties is also missing. It appears that the two kernels were ground separately and that DNA was isolated separately, but data were ultimately pooled across these genetically distinct individuals for analysis. Pooling would violate assumptions of downstream analysis, which included genetic comparison to single archaeological and modern individuals.

      (2) Genetic comparison to other samples:<br /> The authors did not meaningfully address the varying ages of the other archaeological samples and modern maize when comparing the genetic distance of their samples. The archaeological samples were as old as >5000 BP to as young as 70 BP and therefore have experienced varying extents of genetic drift from ancestral allele frequencies. For this reason, age should explicitly be included in their analysis of genetic relatedness.

      (3) Assessment of selection in their ancient Bolivian sample:<br /> This analysis relied on the identification of alleles that were unique to the ancient sample and inferred selection based on a large number of unique SNPs in two genes related to internode length. This could be a technical artifact due to poor alignment of sequence data, evidence supporting pseudogenization, or within an expected range of genetic differentiation based on population structure and the age of the samples. More rigor is needed to indicate that these genetic patterns are consistent with selection. This analysis may also be affected by the pooling of the Bolivian archaeological samples.

      (4) Evidence of selection in modern vs. ancient maize: In this analysis, samples were pooled into modern and ancient samples and compared using the XP-EHH statistic. One gene related to ovule development was identified as being targeted by selection, likely during modern improvement. Once again, ancient samples span many millennia and both South, Central, and North America. These, and the modern samples included, do not represent meaningfully cohesive populations, likely explaining the extremely small number of loci differentiating the groups. This analysis is also complicated by the pooling of the Bolivian archaeological samples.

      1. Mood (Tone/Mood) “When he woke in the woods in the dark and the cold of the night…” McCarthy sets a somber and eerie mood right from the beginning. The repetition of "dark" and "cold" creates a feeling of fear and discomfort, showing that the world is not just physically bleak but emotionally cold too.

      2. Diction “Cold autistic dark” This phrase is jarring and emotionally intense. The word “autistic” here doesn’t refer to the medical condition but evokes a sense of detachment and emotional shutdown. It shows how the father feels disconnected from the world, mirroring the lifeless landscape.

      3. Setting “Nights dark beyond darkness and the days more gray each one than what had gone before.” The setting is post-apocalyptic and colorless. The bleak description of time passing, days getting grayer, emphasizes hopelessness and despair, showing that life in this world is steadily decaying.

      4. Characterization The father constantly checks on his son, even while he sleeps. This detail shows how deeply protective he is. In a world with nothing left, his son is his only reason to keep going. It gives us insight into his values of love, care, and survival.

      Connection to a Short Film (YouTube): This scene reminds me of the short film Cargo on YouTube: Cargo (Post-Apocalyptic Short Film). In both The Road and Cargo, a father goes to extreme lengths to protect his child in a devastated world. Both stories highlight the idea that love can survive even in the darkest times. The father in The Road, like the one in Cargo, puts his child’s safety above all else.

    1. Connectionism has had many "waves" since its beginnings. The first wave appeared 1943 with Warren Sturgis McCulloch and Walter Pitts both focusing on comprehending neural circuitry through a formal and mathematical approach,[2] and Frank Rosenblatt who published the 1958 paper "The Perceptron: A Probabilistic Model For Information Storage and Organization in the Brain" in Psychological Review, while working at the Cornell Aeronautical Laboratory.[3] The first wave ended with the 1969 book about the limitations of the original perceptron idea, written by Marvin Minsky and Seymour Papert, which contributed to discouraging major funding agencies in the US from investing in connectionist research.[4] With a few noteworthy deviations, most connectionist research entered a period of inactivity until the mid-1980s. The term connectionist model was reintroduced in a 1982 paper in the journal Cognitive Science by Jerome Feldman and Dana Ballard

      why would it be discouraged

    1. Bridgman bezeichnet diese neue Haltung entweder als »operational point of view«[1] oder, vor allem in späteren Beiträgen, als »operational analysis«.[2] Die Bedeutung von Begriffen ist dabei durch die Abfolge einzelner Operationen bestimmt, die man zu ihrer Identifikation bzw. Messung ausführt: »In general, we mean by any concept nothing more than a set of operations; the concept is synonymous with the corresponding set of operations.«[3] Er reagiert damit auf Albert Einsteins Erkenntnis, dass die Bewertung der Gleichzeitigkeit zweier Ereignisse, die räumlich getrennt voneinander geschehen, nach anderen Operationen verlangt als die Beurteilung der Gleichzeitigkeit zweier am selben Ort stattfindenden Ereignisse.[4] Für Bridgman folgt daraus, dass auch klassische und breit akzeptierte physikalische Konzepte einem Mangel an operationaler Schärfe unterliegen können. Physiker*innen dürften deshalb keine Grundsätze a priori anerkennen. [4]Bridgman exemplifiziert seine Überlegungen an verschiedenen (physikalischen) Konzepten wie Raum, Zeit oder Geschwindigkeit. Sein Paradebeispiel ist das der Längenmessung. Hieran verdeutlicht er den Unterschied zwischen Konzepten, die sich durch direkte Messoperationen bestimmen lassen – etwa wenn man die Grundfläche eines Hauses mit Hilfe eines genormten Messstabs misst – und durch indirekte Messoperationen, wenn beispielsweise der Abstand der Erde zu anderen Himmelskörpern über die Zeitdauer inferiert wird, die Lichtstrahlen auf ihrem Weg benötigen. Da sich die Operationen des Messvorgangs unterscheiden, hätten sich nach Bridgmans Ansicht auch die Begriffe zu unterscheiden. Er differenziert deshalb zwischen taktiler und optischer Länge.[5] [5]In späteren Arbeiten weicht Bridgman diese starke Variante der Operationalisierung zunehmend auf. In einem Beitrag von 1932 ergänzt er seine operationale Perspektive um geistige Operationen.[6] 1938 setzt er Operationen mit Aktivitäten gleich, um seine bis dahin vor allem auf physikalische Konzepte beschränkte Perspektive zu erweitern.[7] Zudem präzisiert er seine Definition von Begriffen, indem er zwischen notwendigen und hinreichenden Bedingungen unterscheidet. Die Analyse der Operationen bzw. Aktivitäten, die den Begriffsgebrauch anleiten, ist weiterhin notwendig, um die Bedeutung des Begriffs zu bestimmen. Sie ist aber nicht hinreichend, wie die Formulierung in The Logic of Modern Physics noch annehmen ließ.[8]

      Brauchen wir hier in diesem Glossar so viel zu Bridgman? Was davon ist tatächlich relevant für die heutige Verwendung und die Praktiken, die wir unter Operationalisierung verstehen? Wichtig fände ich in jedem Fall, auf die Dimensionen von Standardisierung (ggf. der Meter, das Kilo etc) und die damit einhergehende Überprüfbarkeit und Reproduzierbarkeit von Forschung (auch in den DH) einzugehen - also das "physikalische Erbe" des Begriffs deutlicher anzuschliessen an die hier relevante Perspektive der digitalen GW.

    1. (1 ↑ ε2W
      1. We want to make sure X2 also has variance of 1
      2. W1 is X1 and W2 is random noises which is independent from W1
      3. put X2 in the whole variance formula then you see that -->
      4. Var(X2) = p^2Var(W1) + homeports of Var(W2)
      5. But Var(X2) = 1 then we know there is only 1-p^2 part left for variance W2
      6. Put it back in the function required square root !
    1. Document de Synthèse : L'Emprise et ses Implications Médico-Légales

      Ce briefing synthétise les points clés de la conférence intitulée "Conférence CRIAVS - Emprise", abordant la nature complexe de la relation d'emprise, son exploration psychiatrique et ses implications juridiques.

      L'intervenant, un psychiatre, met en lumière les désaccords avec les approches précédentes, soulignant l'importance d'une compréhension holistique du lien auteur-victime.

      1. Préambule : Distinction et Compréhension

      L'orateur introduit son propos en soulignant une divergence d'approche avec la loi actuelle. Tandis que le droit distingue clairement les victimes des auteurs, la psychiatrie s'intéresse à la dynamique du lien entre les deux.

      • L'approche juridique vs. psychiatrique : "d'un côté il y a la loi qui aujourd'hui distingue de façon très claire les victimes d'un côté les auteurs de l'autre... moi je me place du côté de la psychiatrie et du côté de la psychiatrie il y a un intérêt à aller chercher à renseigner ce qui se passe dans le lien entre une victime et un auteur."

      • Objectif de la compréhension : Comprendre les mécanismes ne signifie ni excuser l'auteur, ni blâmer la victime, mais "identifier mieux" et "juger mieux" pour des raisons médico-légales et thérapeutiques.

      2. La Complexité du Lien Auteur-Victime

      Le lien entre l'auteur et la victime est intrinsèquement complexe, pouvant même présenter une "zone de chevauchement" où les rôles peuvent s'inverser.

      • Zone grise et inversion des rôles : "il peut exister entre la victime et l'auteur une zone de chevauchement une zone grise... il y a des mécanismes un peu de renversement c'est-à-dire que la victime elle devient un peu hauteur et l'auteur il devient un peu victime."

      • Le même individu peut être les deux : "la victime et l'auteur peuvent être aussi une seule et même personne c'est-à-dire que quelqu'un peut avoir été victime et devenir auteur quelqu'un peut avoir été auteur et devenir victime encore."

      3. Critique de l'Expertise Actuelle

      L'intervenant dénonce la pratique actuelle qui consiste à confier l'expertise de l'auteur à un psychiatre et celle de la victime à un psychologue, alors que l'explication de la relation d'emprise nécessite une approche globale.

      • Scission de l'expertise : "on va confier l'expertise de l'auteur à un psychiatre... et on va confier l'expertise de la victime à une ou un psychologue."

      • Incohérence de la demande : "comment vous voulez expliciter une relation d'emprise si vous n'avez examiné qu'un seul [individu]?"

      • Recommandation : Il est "intéressant que ça soit le même professionnel ou alors une association de mêmes professionnels psychiatres et psychologues par exemple qui puissent examiner à la fois l'auteur et à la fois la victime."

      4. L'Expertise Psychiatrique : Constats et Limites

      L'expertise psychiatrique des auteurs d'emprise révèle des constats importants sur l'absence fréquente de troubles mentaux graves ou d'altération du discernement, mais met en évidence des fonctionnements de personnalité spécifiques.

      • Absence de diagnostics graves : "dans la plupart des cas les auteurs... n'ont pas de pathologie mentale avérée... on ne trouve pas non plus de trouble grave de la personnalité."

      • Discernement non aboli : "dans la plupart des cas il y a pas de notion d'altération il y a pas de notion d'abolition du discernement ou du contrôle de ces actes."

      • Dangerosité criminologique : L'évaluation se concentre sur le risque de réitération, en identifiant des facteurs de bon et mauvais pronostic.
      • Fonctionnements de personnalité identifiés :Obsessionnel : "ils sont dans le contrôle d'eux-même de leurs émotions de le contrôle de leur environnement."

      • Paranoïaque : Avec "suspicion d'infidélité tout ce qui est de l'ordre des interprétations tout ce qui est de l'ordre des projections."

      • Borderline : Caractérisé par une alternance "je fusionne je rejette je fusionne je rejette" et une "dimension abandonique".
      • Refus du terme "pervers narcissique" : Le terme "pervers" n'est pas référencé en psychiatrie et l'intervenant préfère décortiquer les mécanismes comme "la séduction, le déni d'altérité... la manipulation... la transgression."
      • Du côté de la victime, l'expertise cherche à établir un lien de cause à effet entre l'emprise et les troubles psychiques (dépression, anxiété).

      La "vulnérabilité" est entendue au sens médico-légal (mesure de protection), bien que des "fragilités" puissent être notées.

      Traumatisme développemental : Le cœur de la vulnérabilité réside dans le "trauma développemental", souvent lié à des "négligences" précoces. Inadaptation du système d'attachement : C'est la "clé de la relation d'emprise."

      5. Les Étapes de la Relation d'Emprise

      La relation d'emprise suit des phases distinctes, souvent schématisées pour en faciliter la compréhension juridique :

      • Séduction et adhésion initiale (Love bombing) : Compliments, cadeaux, affection intense, fausse empathie créant une "dépendance affective rapide" et une "lune de miel."
      • Confusion et culpabilisation : Introduction graduelle de comportements de contrôle, critiques déguisées, changements d'humeur imprévisibles, "brouillage cognitif" (ex: gaslighting "je ne t'ai jamais dit ça tu inventes"). La victime perd confiance en son jugement. La culpabilisation pour de prétendus manquements s'installe.
      • Isolement et contrôle : L'auteur isole la victime de ses proches. La victime s'isole elle-même par honte ou pour éviter les conflits, perdant ainsi ses repères extérieurs. Le contrôle se manifeste par la surveillance des faits et gestes, du téléphone, de l'argent.
      • Privation et menace : Privation d'affection, harcèlement, et enfin menaces directes ("si tu me quittes je te détruirai", "je me suiciderai", "tu perdras les enfants"), souvent le moment où la justice intervient.

      6. Le Rôle Fondamental de l'Attachement Désorganisé

      L'attachement est un lien affectif essentiel au développement humain. Un attachement sécure permet l'autorégulation, mais un attachement dysfonctionnel, notamment désorganisé, crée le terrain propice à l'emprise.

      • Définition de l'attachement : "un lien affectif et il est à la base c'est une nécessité pour le développement humain."
      • Lien avec l'emprise : "pour moi il n'y a pas d'emprise sans problématique d'attachement." L'attachement désorganisé est le type le plus propice.
      • Origine de l'attachement désorganisé : Figures d'attachement (souvent les parents) "incohérentes," "effrayantes ou effrayées," "sévèrement déprimées," "désaccordées," "avec des traumas non résolus," ou "maltraitantes ou négligentes." La négligence seule peut suffire.
      • Mécanismes : L'enfant est confronté à une "peur sans solution" et sa figure d'attachement est "incapable de le réguler." Il "désactive son système d'attachement" et développe des "stratégies de contrôle" pour rééquilibrer le dysfonctionnement.
      • Mécanismes de contrôle dans l'emprise : "contrôle prendre soin," "contrôle punitif," "contrôle séduction," "contrôle soumission."

      7. Le Fonctionnement Défensif de l'Auteur

      La relation d'emprise est un "fonctionnement défensif" pour l'auteur, qui tente de gérer une problématique interne en l'externalisant.

      • Externalisation : L'auteur "externalise sa propre problématique" et "rend l'autre responsable de ses propres actes et de ses propres défaillances."
      • Projection : "en les pointant chez l'autre ou en les projetant chez l'autre ça va lui permettre de ne pas regarder les siennes."
      • Peur de la projection : Paradoxalement, l'auteur "va avoir peur de ce qu'il voit" chez la victime, désignée comme un agresseur car elle porte la projection de sa propre agressivité.

      8. L'Évolution du Cadre Légal et Recommandation Finale

      La justice évolue, reconnaissant l'emprise sous le terme de "contrôle coercitif", mais sa démonstration reste un défi.

      • Vers le "contrôle coercitif" : "l'emprise ça existait pas donc on a on va appeler ça contrôle coercitif."
      • Démonstration légale : Il faut prouver l'intentionalité de l'agresseur, la perception négative du comportement par la victime, les dégâts causés, et l'existence de "menaces ouvertes" en cas de tentative d'échapper au contrôle.
      • Importance de l'exploration du lien : L'exploration de la "zone grise" entre victime et auteur "ne remet aucunement en question la position de victime et la position d'agresseur devant la loi... mais ça permet de comprendre et je pense que c'est cette compréhension qui permettra de faire avancer les choses."

      En conclusion, la conférence souligne l'impératif d'une approche intégrée en matière d'emprise, où la compréhension des mécanismes psychologiques, notamment ceux liés à l'attachement désorganisé, doit éclairer et enrichir l'action judiciaire, malgré les défis de traduction des concepts psychiatriques dans le langage juridique.

    1. n/ˆd

      Earlier (A-4), they defined \(\hat{n}\) using \(n = 2^{k_n} \cdot \hat{n}\), where \(k_n\) refers to the number of 2's in \(n\). This definition is extended to \(\hat{d}\): \(d = 2^{k_d} \cdot \hat{d}\). However, in this context, \(k\) refers to the number of 2's that satisfy the following condition: \(\hat{n}d = n\hat{d}\).

    1. 艾美講Favorites  · otdSrsneopfam372h5ii1ut4m2a4ic89thc895t9u08ff82claf1h41c4340  · Shared with Publichttps://open.firstory.me/story/cmbum9ml8002501uoca8kap5uEP 140【聊天室】東吳翻譯所校友Kate Part 3《線上醫療口譯》114年5月1日~6月30日使用手機報稅真簡單,輕鬆確認「稅額估算表」,快速完成申報,還可以參加抽獎!網頁網址:https://tax.nat.gov.tw/alltax.html?id=1*****以上廣告由財政部提供*****1. 線上醫療口譯的工作內容是什麼?2. Kate經歷考試、培訓、再考試的過程。3. 詳細的培訓內容。4. 需要醫療口譯的情況有哪些?5. 工作時間是走美國時間?6. 接電話前有準備時間嗎?7. 時薪?月薪?算電話通數計薪?8. 這份工作的挑戰9. Kate會推薦這份工作嗎?

      剛剛用1.5X聽完,100%的既視感。

      美國的電話醫療口譯:嗯,確定外包國外了(台灣),這讓我我憂喜參半。在商言商,利益優先,這是無法擋的趨勢,大型口譯平台公司真的賺爆了。

      喜的是,台灣同胞多了一種磨練中英逐步口譯的工作選項。

      Kate不方便說的薪水部分,我以過來人的身分(6年前做過一模一樣的工作,即使公司可能不同),大膽估計時薪8-12美元,月薪4.2-6.2萬。這可是血汗錢,一天賣命7小時的腦力和體力活。

      這種工作必須這麼看:吃苦當吃補,當作你下一份環境、待遇更有人性的口譯工作的跳板。

    1. Volgens de neurontheorie van Cajal bestaat het zenuwstelsel uit functionele eenheden: neuronen. Bovendien verklaart deze theorie dat gedrag voortkomt uit de interacties tussen individuele cellen. De theorie stelt ook dat hoe meer neuronen een dier heeft, hoe complexer zijn gedrag is. Tot slot stelt de theorie dat neuronen beginnen als een eenvoudige structuur die steeds complexer wordt naarmate we ouder worden
      1. zenuwstelsel bestaat uit neuronen
      2. gedrag komt voort uit interacties tussen individuele cellen
      3. hoe meer neuronen een dier heeft, hoe complexer zijn gedrag
      4. neuronen worden complexer als we ouder worden
    1. Author response:

      The following is the authors’ response to the original reviews

      Reviewer #1 (Public review):

      Summary:

      This manuscript describes the role of PRDM16 in modulating BMP response during choroid plexus (ChP) development. The authors combine PRDM16 knockout mice and cultured PRDM16 KO primary neural stem cells (NSCs) to determine the interactions between BMP signaling and PRDM16 in ChP differentiation.

      They show PRDM16 KO affects ChP development in vivo and BMP4 response in vitro. They determine genes regulated by BMP and PRDM16 by ChIP-seq or CUT&TAG for PRDM16, pSMAD1/5/8, and SMAD4. They then measure gene activity in primary NSCs through H3K4me3 and find more genes are co-repressed than co-activated by BMP signaling and PRDM16. They focus on the 31 genes found to be co-repressed by BMP and PRDM16. Wnt7b is in this set and the authors then provide evidence that PRDM16 and BMP signaling together repress Wnt activity in the developing choroid plexus.

      Strengths:

      Understanding context-dependent responses to cell signals during development is an important problem. The authors use a powerful combination of in vivo and in vitro systems to dissect how PRDM16 may modulate BMP response in early brain development.

      We thank the reviewer for the thoughtful summary and positive feedback. We appreciate the recognition of our integrative in vivo and in vitro approach. We're glad the reviewer found our findings on context-dependent gene regulation and developmental signaling valuable.

      Main weaknesses of the experimental setup:

      (1) Because the authors state that primary NSCs cultured in vitro lose endogenous Prdm16 expression, they drive expression by a constitutive promoter. However, this means the expression levels are very different from endogenous levels (as explicitly shown in Supplementary Figure 2B) and the effect of many transcription factors is strongly dose-dependent, likely creating differences between the PRDM16-dependent transcriptional response in the in vitro system and in vivo.

      We acknowledge that our in vitro experiments may not ideally replicate the in vivo situation, a common limitation of such experiments, our primary aim was to explore the molecular relationship between PRDM16 and BMP signaling in gene regulation. Such molecular investigations are challenging to conduct using in vivo tissues. In vitro NSCs treated with BMP4 has been used a model to investigate NSC proliferation and quiescence, drawing on previous studies (e.g., Helena Mira, 2010; Marlen Knobloch, 2017). Crucially, to ensure the relevance of our in vitro findings to the in vivo context, we confirmed that cultured cells could indeed be induced into quiescence by BMP4, and this induction necessitated the presence of PRDM16. Furthermore, upon identifying target genes co-regulated by PRDM16 and SMADs, we validated PRDM16's regulatory role on a subset of these genes in the developing Choroid Plexus (ChP) (Fig. 7 and Suppl.Fig7-8). Only by combining evidence from both in vitro and in vivo experiments could we confidently conclude that PRDM16 serves as an essential co-factor for BMP signaling in restricting NSC proliferation.

      (2) It seems that the authors compare Prdm16_KO cells to Prdm16 WT cells overexpressing flag_Prdm16. Aside from the possible expression of endogenous Prdm16, other cell differences may have arisen between these cell lines. A properly controlled experiment would compare Prdm16_KO ctrl (possibly infected with a control vector without Prdm16) to Prdm16_KO_E (i.e. the Prdm16_KO cells with and without Prdm16 overexpression.)

      We agree that Prdm16 KO cells carrying the Prdm16-expressing vector would be a good comparison with those with KO_vector. However, despite more than 10 attempts with various optimization conditions, we were unable to establish a viable cell line after infecting Prdm16 KO cells with the Prdm16-expressing vector. The overall survival rate for primary NSCs after viral infection is low, and we observed that KO cells were particularly sensitive to infection treatment when the viral vector was large (the Prdm16 ORF is more than 3kb).

      As an alternative oo assess vector effects, we instead included two other control cell lines, wt and KO cells infected with the 3xNLS_Flag-tag viral vector, and presented the results in supplementary Fig 2.  When we compared the responses of the four lines — wt, KO, wt infected with the Flag vector, KO infected with the Flag vector — to the addition and removal of BMP4, we confirmed that the viral infection itself has no significant impacts on the responses of these cells to these treatments regarding changes in cell proliferation and Ttr induction.

      Given that wt cells and the KO cells, with or without viral backbone infection behave quite similarly in terms of cell proliferation, we speculate that even if we were successful in obtaining a cell line with Prdm16-expressing vector in the KO cells, it may not exhibit substantial differences compared to wt cells infected with Prdm16-expressing vector.

      Other experimental weaknesses that make the evidence less convincing:

      (1) The authors show in Figure 2E that Ttr is not upregulated by BMP4 in PRDM16_KO NSCs. Does this appear inconsistent with the presence of Ttr expression in the PRDM16_KO brain in Figure1C?

      The reviwer’s point is that there was no significant increase in Ttr expression in Prdm16_KO cells after BMP4 treatment (Fig. 2E), but there remained residule Ttr mRNA signals in the Prdm16 mutant ChP (Fig. 1C). We think the difference lies in the measuable level of Ttr expression between that induced by BMP4 in NSC culture and that in the ChP. This is based on our immunostaining expreriment in which we tried to detect Ttr using a Ttr antibody. This antibody could not detect the Ttr protein in BMP4-treated Prdm16_expressing NSCs but clearly showed Ttr signal in the wt ChP. This means that although Ttr expression can be significantly increased by BMP4 in vitro to a level measurable by RT-qPCR, its absolute quantity even in the Prdm16_expressing condition is much lower compared to that in vivo. Our results in Fig 1C and Fig 2E, as well as Fig 7B, all consistently showed that Prdm16 depletion significantly reduced Ttr expression in in vitro and in vivo.

      (2) Figure 3: The authors use H3K4me3 to measure gene activity. This is however, very indirect, with bulk RNA-seq providing the most direct readout and polymerase binding (ChIP-seq) another more direct readout. Transcription can be regulated without expected changes in histone methylation, see e.g. papers from Josh Brickman. They verify their H3K4me3 predictions with qPCR for a select number of genes, all related to the kinetochore, but it is not clear why these genes were picked, and one could worry whether these are representative.

      H3K4me3 has widely been used as an indicator of active transcription and is a mark for cell identity genes. And it has been demonstrated that H3K4me3 has a direct function in regulating transciption at the step of RNApolII pausing release. As stated in the text, there are advantages and disadvantages of using H3K4me3 compared to using RNA-seq. RNA-seq profiles all gene products, which are affected by transcription and RNA stability and turnover. In contrast, H3K4me3 levels at gene promoter reflects transcriptional activity. In our case, we aimed to identify differential gene expression between proliferation and quiescence states. The transition between these two states is fast and dynamic. RNA-seq may not be able to identify functionally relevant genes but more likely produces false positive and negative results. Therefore, we chose H3K4me3 profiling.

      We agree that transcription may change without histone methylation changes. This may cause an under-estimation of the number of changed genes between the conditions. 

      We validated 7 out of 31 genes (Wnt7b, Id3, Mybl2, Spc24, Spc25, Ndc80 and Nuf2). We chose these genes based on two critira: 1) their function is implicated in cell proliferation and cell-cycle regulation based on gene ontology analysis; 2) their gene products are detectable in the developing ChP based on the scRNA-seq data. Three of these genes (Wnt7b, Id3, Mybl2) are not related to the kinetochore. We now clarify this description in the revised text.

      (3) Line 256: The overlap of 31 genes between 184 BMP-repressed genes and 240 PRDM16-repressed genes seems quite small.

      This result indicates that in addition to co-repressing cell-cycle genes, BMP and PRDM16 have independent fucntions. For example, it was reported that BMP regulates neuronal and astrocyte differentiation (Katada, S. 2021), while our previous work demonstrated that Prdm16 controls temporal identity of NSCs (He, L. 2021).

      (4) The Wnt7b H3K4me3 track in Fig. 3G is not discussed in the text but it shows H3K4me3 high in _KO and low in _E regardless of BMP4. This seems to contradict the heatmap of H3K4me3 in Figure 3E which shows H3K4me3 high in _E no BMP4 and low in _E BMP4 while omitting _KO no BMP4. Meanwhile CDKN1A, the other gene shown in 3G, is missing from 3E.

      The track in Fig 3G shows the absolute signal of H3K4me3 after mapping the sequencing reads to the genome and normaliz them to library size. Compare the signal in Prdm16_E with BMP4 and that in Prdm16_E without BMP4, the one with BMP4 has a lower peak. The same trend can be seen for the pair of Prdm16_KO cells with or without BMP4.  The heatmap in Fig. 3E shows the relative level of H3K4me3 in three conditions. The Prdm16_E cells with BMP4 has the lowest level, while the other two conditions (Prdm16_KO with BMP4 and Prdm16_E without BMP4) display higher levels. These two graphs show a consistent trend of H3K4me3 changes at the Wnt7b promoter across these conditions. Figure 3E only includes genes that are co-repressed by PRDM16 and BMP. CDKN1A’s H3K4me3 signals are consistent between the conditions, and thus it is not a PRDM16- or BMP-regulated gene. We use it as a negative control. 

      (5) The authors use PRDM16 CUT&TAG on dissected dorsal midline tissues to determine if their 31 identified PRDM16-BMP4 co-repressed genes are regulated directly by PRDM16 in vivo. By manual inspection, they find that "most" of these show a PRDM16 peak. How many is most? If using the same parameters for determining peaks, how many genes in an appropriately chosen negative control set of genes would show peaks? Can the authors rigorously establish the statistical significance of this observation? And why wasn't the same experiment performed on the NSCs in which the other experiments are done so one can directly compare the results? Instead, as far as I could tell, there is only ChIP-qPCR for two genes in NSCs in Supplementary Figure 4D.

      In our text, we indicated the genes containing PRDM16 binding peaks in the figures and described them as “Text in black in Fig. 6A and Supplementary Fig. 5A”. We will add the precise number “25 of these genes” in the main text to clarify it. We used BMP-only repressed 184-31 =153 genes (excluding PRDM16-BMP4 co-repressed) as a negative control set of genes. By computationally determine the nearest TSS to a PRDM16 peak, we identified 24/31 co-repressed genes and 84/153 BMP-only-repressed genes, containing PRDM16 peaks in the E12.5 ChP data. Fisher’s Exact Test comparing the proportions yields the P-value = 0.015.

      We are confused with the second part of the comment “And why wasn't the same experiment performed on the NSCs in which the other experiments are done so one can directly compare the results? Instead, as far as I could tell, there is only ChIP-qPCR for two genes in NSCs in Supplementary Figure 4D.” If the reviewer meant why we didn’t sequence the material from sequential-ChIP or validate more taget genes, the reason is the limitation of the material. Sequential ChIP requires a large quantity of the antibodies, and yields little material barely sufficient for a few qPCR after the second round of IP. This yielded amount was far below the minimum required for library construction. The PRDM16 antibody was a gift, and the quantity we have was very limited. We made a lot of efforts to optimize all available commercial antibodies in ChIP and Cut&Tag, but none of them worked in these assays.

      (6) In comparing RNA in situ between WT and PRDM16 KO in Figure 7, the authors state they use the Wnt2b signal to identify the border between CH and neocortex. However, the Wnt2b signal is shown in grey and it is impossible for this reviewer to see clear Wnt2b expression or where the boundaries are in Figure 7A. The authors also do not show where they placed the boundaries in their analysis. Furthermore, Figure 7B only shows insets for one of the regions being compared making it difficult to see differences from the other region. Finally, the authors do not show an example of their spot segmentation to judge whether their spot counting is reliable. Overall, this makes it difficult to judge whether the quantification in Figure 7C can be trusted.

      In the revised manuscript we have included an individal channel of Wnt2b and mark the boundaries. We also provide full-view images and examples of spot segmentation in the new supplementary figure 8. 

      (7) The correlation between mKi67 and Axin2 in Figure 7 is interesting but does not convincingly show that Wnt downstream of PRDM16 and BMP is responsible for the increased proliferation in PRDM16 mutants.

      We agree that this result (the correlation between mKi67 and Axin2) alone only suggests that Wnt signaling is related to the proliferation defect in the Prdm16 mutant, and does not necessarily mean that Wnt is downstream of PRDM16 and BMP. Our concolusion is backed up by two additional lines of evidences:  the Cut&Tag data in which PRDM16 binds to regulatory regions of Wnt7b and Wnt3a; BMP and PRDM16 co-repress Wnt7b in vitro.

      An ideal result is that down-regulating Wnt signaling in Prdm16 mutant can rescue Prdm16 mutant phenotype. Such an experiment is technically challenging. Wnt plays diverse and essential roles in NSC regulation, and one would need to use a celltype-and stage-specific tool to down-regulate Wnt in the background of Prdm16 mutation. Moreover, Wnt genes are not the only targets regulated by PRDM16 in these cells, and downregulating Wnt may not be sufficient to rescue the phenotype. 

      Weaknesses of the presentation:

      Overall, the manuscript is not easy to read. This can cause confusion.

      We have revised the text to improve clarity.

      Reviewer #1 (Recommendations for the authors):

      (1) Overall, the manuscript is not easy to read. Here are some causes of confusion for which the presentation could be cleaned up:

      We are grateful for the reviewer’s suggestion. In the revised manuscript, we have made efforts to improve the clarity of the text.

      (a) Part of the first section is confusing in that some statements seem contradictory, in particular:

      "there is no overall patterning defect of ChP and CH in the Prdm16 mutant" (line 125)

      "Prdm16 depletion disrupted the transition from neural progenitors into ChP epithelia" (line 144)

      It would be helpful if the authors could reformulate this more clearly.

      We modified the text to clarify that while the BMP-patterned domain is not affected, the transition of NSCs into ChP epithelial cells is compromised in the Prdm16 mutant.

      (b) Flag_PRDM16, PRDM16_expressing, PRDM16_E, PRDM16 OE all seem to refer to the same PRDM16 overexpressing cells, which is very confusing. The authors should use consistent naming. Moreover, it would be good if they renamed these all to PRDM16_OE to indicate expression is not endogenous but driven by a constitutive promoter.

      We appreciate the comment and agree that the use of multiple terms to refer to the same PRDM16-overexpressing condition was confusing. Our original intention in using Prdm16_E was to distinguish cells expressing PRDM16 from the two other groups: wild-type cells and Prdm16_KO cells, which both lack PRDM16 protein expression. However, we acknowledge that Prdm16_E could be misinterpreted as indicating expression from the endogenous Prdm16 promoter. To avoid this confusion and ensure consistency, we have now standardized the terminology and refer to this condition as Prdm16_OE, indicating Flag-tagged PRDM16 expression driven by a constitutive promoter.

      (c) Line 179 states "generated a cell line by infecting Prdm16_KO cells with the same viral vector, expressing 3xNSL_Flag". Do the authors mean 3xNLS_Flag_Prdm16, so these are the Prdm16_KO_E cells by the notation suggested above? Or is this a control vector with Flag only? The following paragraph refers to Supplementary Figure 2C-F where the same construct is called KO_CDH, suggesting this was an empty CDH vector, without Flag, or Prdm16. This is confusing.

      We appreciate the reviewer’s careful reading and helpful comment. We acknowledge the confusion caused by the inconsistent terminology. To clarify: in line 179, we intended to describe an attempt to generate a Prdm16_KO cell line expressing 3xNLS_Flag_Prdm16, not a control vector with Flag only. However, despite repeated attempts, we were unable to establish this line due to low viral efficiency and the vulnerability of Prdm16_KO cells to infection with the large construct. Therefore, these cells were not included in the subsequent analyses.

      The term KO_CDH refers to Prdm16_KO cells infected with the empty CDH control vector, which lacks both Flag and Prdm16. This is the line used in the experiments shown in Supplementary Fig. 2C–F. We have revised the text throughout the manuscript to ensure consistent use of terminology and to avoid this confusion.

      (2) The introductory statements on lines 53-54 could use more references.

      Thanks for the suggestion. We have now included more references.

      (3) It would be helpful if all structures described in the introduction and first section were annotated in Figure 1, or otherwise, if a cartoon were included. For example, the cortical hem, and fourth ventricle.

      Thanks for the suggestion. We have now indicated the structures, ChP, CH and the fourth ventricle, in the images in Figure 1 and Supplementary Figure 1.

      (4) In line 115, "as previously shown.." - to keep the paper self-contained a figure illustrating the genetics of the KO allele would be helpful.

      Thanks for the suggestion. We have now included an illustration of the Prdm16 cGT allele in Figure 1B.

      (5) In Figure 1D as costain for a ChP marker would be helpful because it is hard to identify morphologically in the Prdm16 KO.

      Appoligize for the unclarity. The KO allele contains a b-geo reporter driven by Prdm16 endogenous promoter. The samples were co-stained for EdU, b-Gal and DAPI. To distingquish the ChP domain from the CH, we used the presence of b b-Gal as a marker. We indicated this in the figure legend, but now have also clarified this in the revised text.

      (6) The details in Figure 1E are hard to see, a zoomed-in inset would help.

      A zoomed-in inset is now included in the figure.

      (7) Supplementary Figure 2A does not convincingly show that PRDM16 protein is undetectable since endogenous expression may be very low compared to the overexpression PRDM16_E cells so if the contrast is scaled together it could appear black like the KO.

      We appreciate the reviewer’s point and have carefully considered this concern. We concluded that PRDM16 protein is effectively undetectable in cultured wild-type NSCs based on direct comparison with brain tissue. Both cultured NSCs and brain sections were processed under similar immunostaining and imaging conditions. While PRDM16 showed robust and specific nuclear localization in embryonic brain sections (Fig. 1B and Supplementary Fig. 1A), only a small subset of cultured NSCs exhibited PRDM16 signal, primarily in the cytoplasm (middle panel of Fig. 2A). This stark contrast supports our conclusion that endogenous PRDM16 protein is either absent or significantly downregulated in vitro. Because of this limitation, we turned to over-expressing Prdm16 in NSC culture using a constitutive promoter. 

      (9) Line 182 "Following the washout step" - no such step had been described, maybe replace by "After washout of BMP".

      Yes, we have revised the text.

      (8) Line 214: "indicating a modest level" - what defines modest? Compared to what? Why is a few thousand moderate rather than low? Does it go to zero with inhibitors for pathways?

      Here a modest level means a lower level than to that after adding BMP4. To clarify this, we revised the description to “indicating endogenous levels of …”

      (9) The way qPCR data are displayed makes it difficult to appreciate the magnitude of changes, e.g. in Supplementary Figure 2B where a gap is introduced on the scale. Displaying log fold change / relative CT values would be more informative.

      We used a segmented Y-axis in Supplementary Figure 2B because the Prdm16 overexpression samples exhibited much higher experssion levels compared to other conditions. In response to this suggestion, we explored alternative ways to present the result, including ploting log-transformed values and log fold changes. However, these methods did not enhance the clarity of the differences – in fact, log scaling made the magnitude of change appear less apparent. To address this, we now present the overexpression samples in a separate graph, thereby eliminating the need for a broken Y-axis and improving the overall readability of the data.

      (10) Writing out "3 days" instead of 3D in Figure 2A would improve clarity. It would be good if the used time interval is repeated in other figures throughout the paper so it is still clear the comparison is between 0 and 3 days.

      We have changed “3D” to “3 days”. All BMP4 treatments in this study were 3 days.

      (11) Line 290: "we found that over 50% of SMAD4 and pSMAD1/5/8 binding peaks were consistent in Prdm16_E and Prdm16_KO cells, indicating that deletion of Prdm16 does not affect the general genomic binding ability of these proteins" - this only makes sense to state with appropriate controls because 50% seems like a big difference, what is the sample to sample variability for the same condition? Moreover, the next paragraph seems to contradict this, ending with "This result suggests that SMAD binding to these sites depends on PRDM16". The authors should probably clarify the writing.

      We appreciate the reviwer’s comment and agree that clarification was needed. Our point was that SMAD4 and pSMAD1/5/8 retain the ability to bind DNA broadly in the Prdm16 KO cells, with more than half of the original binding sites still occupied. This suggests that deletion of Prdm16 does not globally impair SMAD genomic binding. Howerever, our primary interest lies in the subset of sites that show differential by SMAD binding between wt and Prdm16 KO conditions, as thse are likely to be PRDM16-dependent. 

      In the following paragraph, we focused specifically on describing SMAD and PRDM16 co-bound sites. At these loci, SMAD4 and pSMAD1/5/8 showed reduced enrichment in the absence of PRDM16, suggesting PRDM16 facilitates SMAD binding at these particular regions. We have revised the text in the manuscript to more clearly distinguish between global SMAD binding and PRDM16-dependent sites.

      (12) Much more convincing than ChIP-qPCR for c-FOS for two loci in Figures 5F-G would be a global analysis of c-FOS ChIP-seq data.

      We agree that a global c-FOS ChIP-seq analysis would provide a more comprehensive view of c-FOS binding patterns. However, the primary focus of this study is the interaction between BMP signaling and PRDM16. The enrichment of AP-1 motifs at ectopic SMAD4 binding sites was an unexpected finding, which we validated using c-FOS ChIP-qPCR at selected loci. While a genome-wide analysis would be valuable, it falls beyond the current scope. We agree that future studies exploring the interplay among SMAD4/pSMAD, PRDM16, and AP-1 will be important and informative.

      (13) Figure 6A is hard to read. A heatmap would make it much easier to see differences in expression. Furthermore, if the point is to see the difference between ChP and CH, why not combine the different subclusters belonging to those structures? Finally, why are there 28 genes total when it is said the authors are evaluating a list of 31 genes and also displaying 6 genes that are not expressed (so the difference isn't that unexpressed genes are omitted)?

      For the scRNA-seq data, we chose violin plots because they display both gene expression levels and the number of cells that express each gene. However, we agree that the labels in Figure 6A were too small and difficult to read. We have revised the figure by increasing the font size and moved genes with low expression to  Supplementary Figure 5A. Figure 6A includes 17 more highly expressed genes together with three markers, and  Supplementary Figure 5A contains 13 lowly expressed genes. One gene Mrtfb is missing in the scRNA-seq data and thus not included. We have revised the description of the result in the main text and figure legends.

      Reviewer #2 (Public review):

      Summary:

      This article investigates the role of PRDM16 in regulating cell proliferation and differentiation during choroid plexus (ChP) development in mice. The study finds that PRDM16 acts as a corepressor in the BMP signaling pathway, which is crucial for ChP formation.

      The key findings of the study are:

      (1) PRDM16 promotes cell cycle exit in neural epithelial cells at the ChP primordium.

      (2) PRDM16 and BMP signaling work together to induce neural stem cell (NSC) quiescence in vitro.

      (3) BMP signaling and PRDM16 cooperatively repress proliferation genes.

      (4) PRDM16 assists genomic binding of SMAD4 and pSMAD1/5/8.

      (5) Genes co-regulated by SMADs and PRDM16 in NSCs are repressed in the developing ChP.

      (6) PRDM16 represses Wnt7b and Wnt activity in the developing ChP.

      (7) Levels of Wnt activity correlate with cell proliferation in the developing ChP and CH.

      In summary, this study identifies PRDM16 as a key regulator of the balance between BMP and Wnt signaling during ChP development. PRDM16 facilitates the repressive function of BMP signaling on cell proliferation while simultaneously suppressing Wnt signaling. This interplay between signaling pathways and PRDM16 is essential for the proper specification and differentiation of ChP epithelial cells. This study provides new insights into the molecular mechanisms governing ChP development and may have implications for understanding the pathogenesis of ChP tumors and other related diseases.

      Strengths:

      (1) Combining in vitro and in vivo experiments to provide a comprehensive understanding of PRDM16 function in ChP development.

      (2) Uses of a variety of techniques, including immunostaining, RNA in situ hybridization, RT-qPCR, CUT&Tag, ChIP-seq, and SCRINSHOT.

      (3) Identifying a novel role for PRDM16 in regulating the balance between BMP and Wnt signaling.

      (4) Providing a mechanistic explanation for how PRDM16 enhances the repressive function of BMP signaling. The identification of SMAD palindromic motifs as preferred binding sites for the SMAD/PRDM16 complex suggests a specific mechanism for PRDM16-mediated gene repression.

      (5) Highlighting the potential clinical relevance of PRDM16 in the context of ChP tumors and other related diseases. By demonstrating the crucial role of PRDM16 in controlling ChP development, the study suggests that dysregulation of PRDM16 may contribute to the pathogenesis of these conditions.

      We thank the reviewer for the thorough and thoughtful summary of our study. We’re glad the key findings and significance of our work were clearly conveyed, particularly regarding the role of PRDM16 in coordinating BMP and Wnt signaling during ChP development. We also appreciate the recognition of our integrated approach and the potential implications for understanding ChP-related diseases.

      Weaknesses:

      (1) Limited investigation of the mechanism controlling PRDM16 protein stability and nuclear localization in vivo. The study observed that PRDM16 protein became nearly undetectable in NSCs cultured in vitro, despite high mRNA levels. While the authors speculate that post-translational modifications might regulate PRDM16 in NSCs similar to brown adipocytes, further investigation is needed to confirm this and understand the precise mechanism controlling PRDM16 protein levels in vivo.

      While mechansims controlling PRDM16 protein stability and nuclear localization in the developing brain are interesting, the scope of this paper is revealing the function of PRDM16 in the choroid plexus and its interaction with BMP signaling. We will be happy to pursuit this direction in our next study.

      (2) Reliance on overexpression of PRDM16 in NSC cultures. To study PRDM16 function in vitro, the authors used a lentiviral construct to constitutively express PRDM16 in NSCs. While this approach allowed them to overcome the issue of low PRDM16 protein levels in vitro, it is important to consider that overexpressing PRDM16 may not fully recapitulate its physiological role in regulating gene expression and cell behavior.

      As stated above, we acknowledge that findings from cultured NSCs may not directly apply to ChP cells in vivo. We are cautious with our statements. The cell culture work was aimed to identify potential mechanisms by which PRDM16 and SMADs interact to regulate gene expression and target genes co-regulated by these factors. We expect that not all targets from cell culture are regulated by PRDM16 and SMADs in the ChP, so we validated expression changes of several target genes in the developing ChP and now included the new data in Fig. 7 and Supplementary Fig. 7. Out of the 31 genes identified from cultured cells, four cell cycle regulators including Wnt7b, Id3, Spc24/25/nuf2 and Mybl2, showed de-repression in Prdm16 mutant ChP. These genes can be relevant downstream genes in the ChP, and other target genes may be cortical NSC-specific or less dependent on Prdm16 in vivo.

      (3) Lack of direct evidence for AP1 as the co-factor responsible for SMAD relocation in the absence of PRDM16. While the study identified the AP1 motif as enriched in SMAD binding sites in Prdm16 knockout cells, they only provided ChIP-qPCR validation for c-FOS binding at two specific loci (Wnt7b and Id3). Further investigation is needed to confirm the direct interaction between AP1 and SMAD proteins in the absence of PRDM16 and to rule out other potential co-factors.

      We agree that the finding of the AP1 motif enriched at the PRDM16 and SMAD co-binding regions in Prdm16 KO cells can only indirectly suggest AP1 as a co-factor for SMAD relocation. That’s why we used ChIP-qPCR to examine the presence of C-fos at these sites. Although we only validated two targets, the result confirms that C-fos binds to the sites only in the Prdm16 KO cells but not Prdm16_expressing cells, suggesting AP1 is a co-factor.  Our results cannot rule out the presence of other co-factors.

      Reviewer #2 (Recommendations for the authors):

      Minor typo: [7, page 3] "sicne" should be "since".

      We appreciate the reviewer’s careful reading. We have now corrected the typo and revised some part of the text to improve clarity.

      Reviewer #3 (Public review):

      Summary:

      Bone morphogenetic protein (BMP) signaling instructs multiple processes during development including cell proliferation and differentiation. The authors set out to understand the role of PRDM16 in these various functions of BMP signaling. They find that PRDM16 and BMP co-operate to repress stem cell proliferation by regulating the genomic distribution of BMP pathway transcription factors. They additionally show that PRDM16 impacts choroid plexus epithelial cell specification. The authors provide evidence for a regulatory circuit (constituting of BMP, PRDM16, and Wnt) that influences stem cell proliferation/differentiation.

      Strengths:

      I find the topics studied by the authors in this study of general interest to the field, the experiments well-controlled and the analysis in the paper sound.

      We thank the reviewer for their positive feedback and thoughtful summary. We appreciate the recognition of our efforts to define the role of PRDM16 in BMP signaling and stem cell regulation, as well as the soundness of our experimental design and analysis.

      Weaknesses:

      I have no major scientific concerns. I have some minor recommendations that will help improve the paper (regarding the discussion).

      We have revised the discussion according to the suggestions.

      Reviewer #3 (Recommendations for the authors):

      Specific minor recommendations:

      Page 18. Line 526: In a footnote, the authors point out a recent report which in parallel was investigating the link between PRDM16 and SMAD4. There is substantial non-overlap between these two papers. To aid the reader, I would encourage the authors to discuss that paper in the discussion section of the manuscript itself, highlighting any similarities/differences in the topic/results.

      Thanks for the suggestion. We now included the comparison in the discussion. One conclusion between our study and this publication is consistent, that PRDM16 functions as a co-repressor of SMAD4. However, the mechanims are different. Our data suggests a model in which PRDM16 facilitates SMAD4/pSMAD binding to repress proliferation genes under high BMP conditions. However, the other report suggests that SMAD4 steadily binds to Prdm16 promoter and switches regulatory functions depending on the co-factors. Together with PRDM16, SMAD4 represses gene expression, while with SMAD3 in response to high levels of TGF-b1, it activates gene expression. These differences could be due to different signaling (BMP versus TGF-b), contexts (NSCs versus Pancreatic cancers) etc.

      Page 3. Line 65: typo 'since'

      We appreciate the reviewer’s careful reading. We have now corrected the typo and revised the text to improve clarity.

    1. Author response:

      The following is the authors’ response to the previous reviews

      Public Reviews:

      Reviewer #1 (Public Review):

      This manuscript describes a series of experiments documenting trophic egg production in a species of harvester ant, Pogonomyrmex rugosus. In brief, queens are the primary trophic egg producers, there is seasonality and periodicity to trophic egg production, trophic eggs differ in many basic dimensions and contents relative to reproductive eggs, and diets supplemented with trophic eggs had an effect on the queen/worker ratio produced (increasing worker production).

      The manuscript is very well prepared and the methods are sufficient. The outcomes are interesting and help fill gaps in knowledge, both on ants as well as insects, more generally. More context could enrich the study and flow could be improved.

      We thank the reviewer for these comments. We agree that the paper would benefit from more context. We have therefore greatly extended the introduction.

      Reviewer #2 (Public Review):

      The manuscript by Genzoni et al. provides evidence that trophic eggs laid by the queen in the ant Pogonomyrmex rugosis have an inhibitory effect on queen development. The authors also compare a number of features of trophic eggs, including protein, DNA, RNA, and miRNA content, to reproductive eggs. To support their argument that trophic eggs have an inhibitory effect on queen development, the authors show that trophic eggs have a lower content of protein, triglycerides, glycogen, and glucose than reproductive eggs, and that their miRNA distributions are different relative to reproductive eggs. Although the finding of an inhibitory influence of trophic eggs on queen development is indeed arresting, the egg cross-fostering experiment that supports this finding can be effectively boiled down to a single figure (Figure 6). The rest of the data are supplementary and correlative in nature (and can be combined), especially the miRNA differences shown between trophic and reproductive eggs. This means that the authors have not yet identified the mechanism through which the inhibitory effect on queen development is occurring. To this reviewer, this finding is more appropriate as a short report and not a research article. A full research article would be warranted if the authors had identified the mechanism underlying the inhibitory effect on queen development. Furthermore, the article is written poorly and lacks much background information necessary for the general reader to properly evaluate the robustness of the conclusions and to appreciate the significance of the findings.

      We thank the reviewer for these comments. We agree that the paper would benefit by having more background information and more discussion. We have followed this advice in the revision.

      Reviewer #3 (Public Review):

      In "Trophic eggs affect caste determination in the ant Pogonomyrmex rugosus" Genzoni et al. probe a fundamental question in sociobiology, what are the molecular and developmental processes governing caste determination? In many social insect lineages, caste determination is a major ontogenetic milestone that establishes the discrete queen and worker life histories that make up the fundamental units of their colonies. Over the last century, mechanisms of caste determination, particularly regulators of caste during development, have remained relatively elusive. Here, Genzoni et al. discovered an unexpected role for trophic eggs in suppressing queen development - where bi-potential larvae fed trophic eggs become significantly more likely to develop into workers instead of gynes (new queens). These results are unexpected, and potentially paradigm-shifting, given that previously trophic eggs have been hypothesized to evolve to act as an additional intracolony resource for colonies in potentially competitive environments or during specific times in colony ontogeny (colony foundation), where additional food sources independent of foraging would be beneficial. While the evidence and methods used are compelling (e.g., the sequence of reproductive vs. trophic egg deposition by single queens, which highlights that the production of trophic eggs is tightly regulated), the connective tissue linking many experiments is missing and the downstream mechanism is speculative (e.g., whether miRNA, proteins, triglycerides, glycogen levels in trophic eggs is what suppresses queen development). Overall, this research elevates the importance of trophic eggs in regulating queen and worker development but how this is achieved remains unknown.

      We thank the reviewer for these comments and agree that future work should focus on identifying the substances in trophic eggs that are responsible for caste determination.  

      Recommendations For The Authors:

      Reviewer #1 (Recommendations For The Authors):

      Introduction:

      The context for this study is insufficiently developed in the introduction - it would be nice to have a more detailed survey of what is known about trophic eggs in insects, especially social insects. The end of the introduction nicely sets up the hypothesis through the prior work described by Helms Cahan et al. (2011) where they found JH supplementation increased trophic egg production and also increased worker size. I think that the introduction could give more context about egg production in Pogonomyrmex and other ants, including what is known about worker reproduction. For example, Suni et al. 2007 and Smith et al. 2007 both describe the absence of male production by workers in two different harvester ants. Workers tend to have underdeveloped ovaries when in the presence of the queen. Other species of ants are known to have worker reproduction seemingly for the purpose of nutrition (see Heinze and Hölldober 1995 and subsequent studies on Crematogaster smithi). Because some ants, including Pogonomyrmex, lack trophallaxis, it has been hypothesized that they distribute nutrients throughout the nest via trophic eggs as is seen in at least one other ant (Gobin and Ito 2000). Interestingly, Smith and Suarez (2009) speculated that the difference in nutrition of developing sexual versus worker larvae (as seen in their pupal stable isotope values) was due to trophic egg provisioning - they predicted the opposite as was found in this study, but their prediction was in line with that of Helms Cahan et al. (2011). This is all to say that there is a lot of context that could go into developing the ideas tested in this paper that is completely overlooked. The inclusion of more of what is known already would greatly enrich the introduction.

      We agree that it would be useful to provide a larger context to the study. We now provide more information on the life-history of ants and explained under what situations queens and workers may produce trophic eggs. We also mentioned that some ants such as Crematogaster smithi have a special caste of “large workers” which are morphologically intermediate between winged queens and small workers and appear to be specialized in the production of unfertilized eggs. We now also mention the study of Goby and Ito (200) where the authors show that trophic eggs may play an important role in food distribution withing the colony, in particular in species where trophallaxis is rare or absent.

      Methods:

      L49: What lineage is represented in the colonies used? The collection location is near where both dependent-lineage (genetic caste determining) P. rugosus and "H" lineage exist. This is important to know. Further, depending on what these are, the authors should note whether this has relevance to the study. Not mentioning genetic caste determination in a paper that examines caste determination is problematic.

      This is a good point. We have now provided information at the very beginning of the material and method section that the queens had been collected in populations known not to have dependentlineage (genetic caste determining) mechanisms of caste determination.

      L63 and throughout: It would be more efficient to have a paragraph that cites R (must be done) and RStudio once as the tool for all analyses. It also seems that most model construction and testing was done using lme4 - so just lay this out once instead of over and over.

      We agree and have updated the manuscript accordingly.

      L95: 'lenght' needs to be 'length' in the formula.

      Thanks, corrected.

      L151: A PCA was used but not described in the methods. This should be covered here. And while a Mantel test is used, I might consider a permANOVA as this more intuitively (for me, at least) goes along with the PCA.

      We added the PCA description in the Material and Method section.

      Results:

      I love Fig. 3! Super cool.

      Thanks for this positive comment.

      Discussion:

      It would be good to have more on egg cannibalism. This is reasonably well-studied and could be good extra context.

      We have added a paragraph in the discussion to mention that egg cannibalism is ubiquitous in ants.

      Supp Table 1: P. badius is missing and citations are incorrectly attributed to P. barbatus.

      P. badius was present in the Table but not with the other Pogonomyrmex species. For some genera the species were also not listed in alphabetic order. This has been corrected.

      Reviewer #2 (Recommendations For The Authors):

      Comments on introduction:

      The introduction is missing information about caste determination in ants generally and Pogonomyrmex rugosis specifically. This is important because some colonies of Pogonomyrmex rugosis have been shown to undergo genetic caste determination, in which case the main result would be rendered insignificant. What is the evidence that caste determination in the lineages/colonies used is largely environmentally influenced and in what contexts/environmental factors? All of this should be made clear.

      This is a good point. We have expanded the introduction to discuss previous work on caste determination in Pogonomyrmex species with environmental caste determination and now also provide evidence at the beginning of the Material and Method section that the two populations studied do not have a system of genetic caste determination.

      Line 32 and throughout the paper: What is meant exactly by 'reproductive eggs'? Are these eggs that develop specifically into reproductives (i.e., queens/males) or all eggs that are non-trophic? If the latter, then it is best to refer to these eggs as 'viable' in order to prevent confusion.

      We agree and have updated the manuscript accordingly.

      Figure 1/Supp Table 1: It is surprising how few species are known to lay trophic eggs. Do the authors think this is an informative representation of the distribution of trophic egg production across subfamilies, or due to lack of study? Furthermore, the branches show ant subfamilies, not families. What does the question mark indicate? Also, the information in the table next to the phylogeny is not easy to understand. Having in the branches that information, in categories, shown in color for example, could be better and more informative. Finally, having the 'none' column with only one entry is confusing - discuss that only one species has been shown to definitely not lay trophic eggs in the text, but it does not add much to the figure.

      Trophic eggs are probably very common in ants, but this has not been very well studied. We added a sentence in the manuscript to make this clear.

      Thanks for noticing the error family/subfamily error. This has been corrected in Figure 1 and Supplementary Table 1.

      The question mark indicates uncertainty about whether queens also contribute to the production of trophic eggs in one species (Lasius niger). We have now added information on that in the Figure legend.

      We agree with the reviewer that it would be easier to have the information on whether queens and workers produce trophic on the branches of the Tree. However, having the information on the branches would suggest that the “trait” evolved on this part of the tree. As we do not know when worker or queen production of trophic eggs exactly evolved, we prefer to keep the figure as it is.

      Finally, we have also removed the none in the figure as suggested by the reviewer and discussed in the manuscript the fact that the absence of trophic eggs has been reported in only one ant species (Amblyopone silvestrii: Masuko 2003_)._

      Comments on materials and methods:

      Why did they settle on three trophic eggs per larva for their experimental setup?

      We used three trophic eggs because under natural conditions 50-65% of the eggs are trophic. The ratio of trophic eggs to viable eggs (larvae) was thus similar natural condition.

      Line 50: In what kind of setup were the ants kept? Plaster nests? Plastic boxes? Tubes? Was the setup dry or moist? I think this information is important to know in the context of trophic eggs.

      We now explain that colonies were maintained in plastic boxes with water tubes.

      Line 60: Were all the 43 queens isolated only once, or multiple times?

      Each of the 43 queens were isolated for 8 hours every day for 2 weeks, once before and once after hibernation (so they were isolated multiple times). We have changed the text to make clear that this was done for each of the 43 queens.

      Could isolating the queen away from workers/brood have had an effect on the type of eggs laid?

      This cannot be completely ruled out. However, it is possible to reliably determine the proportion of viable and trophic eggs only by isolating queens. And importantly the main aim of these experiments was not to precisely determine the proportion viable and trophic eggs, but to show that this proportion changes before and after hibernation and that queens do not lay viable and trophic eggs in a random sequence.

      Since it was established that only queens lay trophic eggs why was the isolation necessary?

      Yes this was necessary because eggs are fragile and very difficult to collect in colonies with workers (as soon as eggs are laid they are piled up and as soon as we disturb the nest, a worker takes them all and runs away with them). Moreover, it is possible that workers preferentially eat one type of eggs thus requiring to remove eggs as soon as queens would have laid them. This would have been a huge disturbance for the colonies.

      Line 61: Is this hibernation natural or lab induced? What is the purpose of it? How long was the hibernation and at what temperature? Where are the references for the requirement of a diapause and its length?

      The hibernation was lab induced. We hibernated the queens because we previously showed that hibernation is important to trigger the production of gynes in P. rugosus colonies in the laboratory (Schwander et al 2008; Libbrecht et al 2013). Hibernation conditions were as described in Libbrecht et al (2013).  

      Line 73: If the queen is disturbed several times for three weeks, which effect does it have on its egg-laying rate and on the eggs laid? Were the eggs equally distributed in time in the recipient colonies with and without trophic eggs to avoid possible effects?

      It is difficult to respond what was the effect of disturbance on the number and type of eggs laid. But again our aim was not to precisely determine these values but determine whether there was an effect of hibernation on the proportion of trophic eggs. The recipient colonies with and without trophic eggs were formed in exactly the same way. No viable eggs were introduced in these colonies, but all first instar larvae have been introduced in the same way, at the same time, and with random assignment. We have clarified this in the Material and Method section.

      Line 77: Before placing the freshly hatched larvae in recipient colonies, how long were the recipient colonies kept without eggs and how long were they fed before giving the eggs? Were they kept long enough without the queen to avoid possible effects of trophic eggs, or too long so that their behavior changed?

      The recipient colonies were created 7 to 10 days before receiving the first larvae and were fed ad libitum with grass seeds, flies and honey water from the beginning. Trophic eggs that would have been left over from the source colony should have been eaten within the first few days after creating the recipient colonies. However, even if some trophic eggs would have remained, this would not influence our conclusion that trophic eggs influence caste fate, given the fully randomized nature of our treatments and the considerable number of independent replicates. The same applies to potential changes in worker behavior following their isolation from the queen.

      Line 77: Is it known at what stage caste determination occurs in this species? Here first instar larvae were given trophic eggs or not. Does caste-determination occur at the first instar stage? If not, what effect could providing trophic eggs at other stages have on caste-determination?

      A previous study showed that there is a maternal effect on caste determination in the focal species (Schwander et al 2008). The mechanism underlying this maternal effect was hypothesized to be differential maternal provisioning of viable eggs. However, as we detail in the discussion, the new data presented in our study suggests that the mechanism is in fact a different abundance of trophic eggs laid by queens. There is currently no information when exactly caste determination occurs during development

      Comments on results:

      Line 65: How does investigating the order of eggs laid help to "inform on the mechanisms of oogenesis"?

      We agree that the aim was not to study the mechanism of oogenesis. We have changed this sentence accordingly: “To assess whether viable and trophic eggs were laid in a random order, or whether eggs of a given type were laid in clusters, we isolated 11 queens for 10 hours, eight times over three weeks, and collected every hour the eggs laid”

      Figure 2: There is no description/discussion of data shown in panels B, C, E, and F in the main text.

      We have added information in the main text that while viable eggs showed embryonic development at 25 and 65 hours (Fig 12 B, C) there was no such development for trophic eggs (Fig. 2 E,F).

      Line 172: Please explain hibernation details and its significance on colony development/life cycle.

      We have added this information in the Material and Method section.

      Figure 6: How is B plotted? How could 0% of gynes have 100% survival?

      The survival is given for the larvae without considering caste. We have changed the de X axis of panel B and reworded the Figure legend to clarify this.

      Is reduced DNA content just an outcome of reduced cell number within trophic eggs, i.e., was this a difference in cell type or cell number? Or is it some other adaptive reason?

      It is likely to be due to a reduction in cell number (trophic eggs have maternal DNA in the chorion, while viable eggs have in addition the cells from the developing zygote) but we do not have data to make this point.

      Is there a logical sequence to the sequence of egg production? The authors showed that the sequence is non-random, but can they identify in what way? What would the biological significance be?

      We could not identify a logical sequence. Plausibly, the production of the two types of eggs implies some changes in the metabolic processes during egg production resulting in queens producing batches of either viable or trophic eggs. This would be an interesting question to study, but this is beyond the scope of this paper.

      Figure 6b is difficult to follow, and more generally, legends for all figures can be made clearer and more easy to follow.

      We agree. We have now improved the legends of Fig 6B and the other figures.

      Lines 172-174: "The percentage of eggs that were trophic was higher before hibernation...than after. This higher percentage was due to a reduced number of reproductive eggs, the number of trophic eggs laid remained stable" - are these data shown? It would be nice to see how the total egglaying rate changes after hibernation. Also, is the proportion of trophic eggs laid similar between individual queens?

      No the data were not shown and we do not have excellent data to make this point. We have therefore removed the sentence “This higher percentage was due to a reduced number of reproductive eggs, the number of trophic eggs laid remained stable” from the manuscript.

      Figure 6B: Do several colonies produce 100% gynes despite receiving trophic eggs? It would be interesting if the authors discussed why this might occur (e.g., the larvae are already fully determined to be queens and not responsive to whatever signal is in the trophic eggs).

      The reviewer is correct that 4 colonies produced 100% gynes despite receiving trophic eggs. However, the number of individuals produced in these four colonies was small (2,1,2,1, see supplementary Table 2). So, it is likely that it is just by chance that these colonies produced only gynes.

      Figure 5: Why a separation by "size distribution variation of miRNA"? What is the relevance of looking at size distributions as opposed to levels?

      We did that because there many different miRNA species, reflected by the fact that there is not just one size peak but multiple one. This is why we looked at size distribution

      Figure 2: The image of the viable embryo is not clear. If possible, redo the viable to show better quality images.

      Unfortunately, we do not anymore have colonies in the laboratory so this is not possible.

      Comments on discussion:

      Lines 236-247: Can an explanation be provided as to why the effect of trophic eggs in P. rugosus is the opposite of those observed by studies referenced in this section? Could P. rugosus have any life history traits that might explain this observation?

      In the two mentioned studies there were other factors that co-varied with variation in the quantity of trophic eggs. We mentioned that and suggested that it would be useful to conduct experimental manipulation of the quantity of trophic eggs in the Argentine ant and P. barbatus (the two species where an effect of trophic eggs had been suggested).

      The discussion should include implications and future research of the discovery.

      We made some suggestions of experiments that should be performed in the future

      The conclusion paragraph is too short and does not represent what was discussed.

      We added two sentences at the end of the paragraph to make suggestions of future studies that could be performed.

      Lines 231 to 247: Drastically reduce and move this whole part to the introduction to substantiate the assumption that trophic eggs play a nutritional role.

      We moved most of this paragraph to the introduction, as suggested by the reviewer.

      Reviewer #3 (Recommendations For The Authors):

      I would like to commend the authors on their study. The main findings of the paper are individually solid and provide novel insight into caste determination and the nature of trophic eggs. However, the inferences made from much of the data and connections between independent lines of evidence often extend too far and are unsubstantiated.

      We thank the reviewer for the positive comment. We made many changes in the manuscript to improve the discussion of our results.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      In the manuscript submission by Zhao et al. entitled, "Cardiac neurons expressing a glucagon-like receptor mediate cardiac arrhythmia induced by high-fat diet in Drosophila" the authors assert that cardiac arrhythmias in Drosophila on a high-fat diet are due in part to adipokinetic hormone (Akh) signaling activation. High-fat diet induces Akh secretion from activated endocrine neurons, which activate AkhR in posterior cardiac neurons. Silencing or deletion of Akh or AkhR blocks arrhythmia in Drosophila on a high-fat diet. Elimination of one of two AkhR-expressing cardiac neurons results in arrhythmia similar to a high-fat diet.

      Strengths:

      The authors propose a novel mechanism for high-fat diet-induced arrhythmia utilizing the Akh signaling pathway that signals to cardiac neurons.

      Weaknesses:

      Major comments:

      (1) The authors state, "Arrhythmic pathology is rooted in the cardiac conduction system." This assertion is incorrect as a blanket statement on arrhythmias. There are certain arrhythmias that have been attributable to the conduction system, such as bradycardic rhythms, heart block, sinus node reentry, inappropriate sinus tachycardia, AV nodal reentrant tachycardia, bundle branch reentry, fascicular ventricular tachycardia, or idiopathic ventricular fibrillation to name a few. However the etiological mechanism of many atrial and ventricular arrhythmias, such as atrial fibrillation or substrate-based ventricular tachycardia, are not rooted in the conduction system. The introduction should be revised to reflect a clear focus (away from?) on atrial fibrillation (AF). In addition, AF susceptibility is known to be modulated by autonomic tone, which is topically relevant (irrelevant?) to this manuscript.

      Thank you for the helpful comment. We rephrased the sentence as “Arrhythmic pathology is often rooted in the cardiac conduction system”.

      (2) The authors state that "HFD led to increased heartbeat and an irregular rhythm." In representative examples shown, HFD resulted in pauses, slower heart rate, and increased irregularity in rhythm but not consistently increased heart rate (Figures 1B, 3A, and 4C). Based on the cited work by Ocorr et al (https://doi.org/10.1073/pnas.0609278104), Drosophila heart rate is highly variable with periods of fast and slow rates, which the authors attributed to neuronal and hormonal inputs. Ocorr et al then describe the use of "semi-intact" flies to remove autonomic input to normalize heart rate. Were semi-intact flies used? If not, how was heart rate variability controlled? And how was heart rate "increase" quantified in high-fat diet compared to normal-fat diet? Lastly, how does one measure "arrhythmia" when there is so much heart rate variability in normal intact flies?

      We also observed that fly heart rate is highly variable with periods of fast and slow rates. To control heart rate variability, Ocorr et al. used semi-intact flies to record the heartbeat  (https://doi.org/10.1073/pnas.0609278104). We consider it a rigorous method to get highly consistent results with high quality videos/images. Since our work has a focus on the neuronal inputs to the heart, we did not use the semi-intact method. Our concern is that it is likely to disrupt the neuronal processes during the dissection. Using OCT, we recorded the heartbeat of intact flies in an 8 s time window, when the heartbeat was relatively stable. The different groups of flies, which were fed on a high-fat diet or a normal-fat diet, were recorded using the same method. Thus, we could compare the differences in heart rate.

      (3) The authors state, "to test whether the HFD-induced increase in Akh in the APC affects APC neuron activity, we used CaLexA (https://doi.org/10.3109/01677063.2011.642910)." According to the reference, CaLexA is a tool to map active neurons and would not indicate, as the authors state, whether Akh affects APC neuron activity specifically. It is equally possible that APC neurons may be activated by HFD and produce more Akh. Please clarify this language.

      Thank you for clarifying the calcium reporter, CaLexA. We rephrased this sentence to “to test whether HFD affects APC neuron activity, we used CaLexA”.

      (4) Are the AkhR+ neurons parasympathetic or sympathetic? Please provide additional experimentation that characterizes these neurons. The AkhR+ neurons appear to be anti-arrhythmic. Please expand the discussion to include a working hypothesis of the overall findings on Akh, AkhR, and AkhR+ neurons.

      Noyes et al. showed that Akh treatment increases heartbeat (Noyes, B. E., F. N. Katz, and M. H. Schaffer. 1995. “Identification and Expression of the Drosophila Adipokinetic Hormone Gene.” Molecular and Cellular Endocrinology 109 (2): 133–41.), suggesting that AkhR+ neurons are sympathetic. We showed that high-fat diet induced Akh expression and secretion, which led to stimulation of AkhR+ neuron and increased heart rate, supporting the sympathetic role of the AkhR+ neurons. Additional explanation on the sympathetic & anti-arrhythmic role of the Akh, AkhR, and AkhR+ neurons were added to the discussion.

      (5) The authors state, "Heart function is dependent on glucose as an energy source." However, the heart's main energy source is fatty acids with minimal use of glucose (doi: 10.1016/j.cbpa.2006.09.014). Glucose becomes more utilized by cardiomyocytes under heart failure conditions. Please amend/revise this statement.

      Thank you for pointing this out and providing the reference. We rephrased this sentence “Heart function is dependent on continuous ATP production. Cardiac ATP in Drosophila might come from fatty acids, glucose, and lactate (Kodde et al., 2007), as well as trehalose.”

      Reviewer #2 (Public Review):

      This manuscript explores mechanisms underlying heart contractility problems in metabolic disease using Drosophila as a model. They confirm, as others have demonstrated, that a high-fat diet (HFD) induces cardiac problems in flies. They showed that a high-fat diet increased Akh mRNA levels and calcium levels in the Akh-producing cells (APC), suggesting there is increased production and release of this hormone in a HFD context. When they knock down Akh production in the APCs using RNAi they see that cardiac contractility problems are abolished. They similarly show that levels of the Akh receptor (Akhr) are increased on a HFD and that loss of Akhr also rescues contractility problems on a HFD.

      One highlight of the paper was the identification of a pair of neurons that express a receptor for the metabolic hormone Akh, and showing initial data that these neurons innervate the cardiac muscle. They then overexpress cell death gene reaper (rpr) in all Akhr-positive cells with Akhr-GAL4 and see that cardiac contractility becomes abnormal.

      However, this paper contains several findings that have been reported elsewhere and it contains key flaws in both experimental design and data interpretation. There is some rationale for doing the experiments, and the data and images are of good quality. However, others have shown that HFD induces cardiac contractility problems (Birse 2010), that Akh mRNA levels are changed with HFD (Liao 2021) that Akh modulates cardiac rhythms (Noyes 1995), so Figures 1-4 are largely a confirmation of what is already known. This limits the overall magnitude of the advances presented in these figures. Overall, the stated concerns limit the impact of the manuscript in advancing our understanding of heart contractility.

      We thank the reviewer for the positive comments and appreciate the reviewer for the instructive suggestions. Birse 2010 (PMID: 21035763) was cited in our manuscript. Liao 2021 showed that Akh mRNA levels are changed with HFD. We added the reference to the revised manuscript and modified the text as: “In consistent with a previous work (Liao et al., 2020), we showed that the expression of Akh was significantly up-regulated in the flies fed a HFD, compared to NFD-fed flies (Figure 2B)”. Our qPCR verified Liao’s results. On top of this, we investigated the calcium levels in the Akh producing cells (APCs) and showed elevated calcium levels in the APC in HFD fed flies. In the revised version, we added more data to show that Akh protein levels were increased with HFD (Figure 2E-F). In line with Noyes' discovery, which showed that Akh injection caused cardioaccelation in prepupae, we showed that genetic manipulation of Akh expression affected heartbeat in the adults.   

      Reviewer #3 (Public Review):

      Zhao et al. provide new insights into the mechanism by which a high-fat diet (HFD) induces cardiac arrhythmia employing Drosophila as a model. HFD induces cardiac arrhythmia in both mammals and Drosophila. Both glucagon and its functional equivalent in Drosophila Akh are known to induce arrhythmia. The study demonstrates that Akh mRNA levels are increased by HFD and both Akh and its receptor are necessary for high-fat diet-induced cardiac arrhythmia, elucidating a novel link. Notably, Zhao et al. identify a pair of AKH receptor-expressing neurons located at the posterior of the heart tube. Interestingly, these neurons innervate the heart muscle and form synaptic connections, implying their roles in controlling the heart muscle. The study presented by Zhao et al. is intriguing, and the rigorous characterization of the AKH receptor-expressing neurons would significantly enhance our understanding of the molecular mechanism underlying HFD-induced cardiac arrhythmia.

      Many experiments presented in the manuscript are appropriate for supporting the conclusions while additional controls and precise quantifications should help strengthen the authors' augments. The key results obtained by loss of Akh (or AkhR) and genetic elimination of the identified AkhR-expressing cardiac neurons do not reconcile, complicating the overall interpretation.

      It is intriguing to see an increase in Akh mRNA levels in HFD-fed animals. This is a key result for linking HFD-induced arrhythmia to Akh. Thus, demonstrating that HFD also increases the Akh protein levels and Akh is secreted more should significantly strengthen the manuscript.

      Thank you for the positive comments and the instructive suggestions. We performed immunostaining to show that Akh protein levels increased, which is consistent with elevated Akh mRNA expression in HFD-fed flies. The data was added to Figure 2, panels E and F. Akh secretion from the APCs is regulated by APC activity (https://doi.org/10.1038/s41586-019-1675-4). We used a calcium reporter CaLexA (https://doi.org/10.3109/01677063.2011.642910) to monitor APC activity and showed that HFD increased APC activity (Figure 2, C-D).

      The experiments employing an AkhR null allele nicely demonstrate its requirement for HFD-induced cardiac arrhythmia. Depletion of Akh in Akh-expressing cells recapitulates the consequence of AkhR knockout, supporting that both Akh and its receptor are required for HFD-induced cardiac arrhythmia. Given that RNAi is associated with off-target effects and some RNAi reagents do not work, testing multiple independent RNAi lines is the standard procedure. It is also important to show the on-target effect of the RNAi reagents used in the study.

      Indeed, RNAi approaches can suffer from off-target effects. For Akh experiments, we used an RNAi line BL_34960, which was generated using artificial microRNAs shRNA (DOI: 10.1038/nmeth.1592). In comparison to long-hairpin constructs, shRNA constructs are expected to be advantageous, e.g., more efficient and minimized off-target. We performed immunostaining to determine Akh-Gal4>UAS-Akh-RNAi efficiency. We showed that anti-Akh fluorescence diminished in Akh-Gal4>UAS-Akh-RNAi APCs. The data was added to Figure 3-figure supplement 1.

      The most exciting result is the identification of AkhR-expressing neurons located at the posterior part of the heart tube (ACNs). The authors attempted to determine the function of ACNs by expressing rpr with AkhR-GAL4, which would induce cell death in all AkhR-expressing cells, including ACNs. The experiments presented in Figure 6 are not straightforward to interpret. Moreover, the conclusion contradicts the main hypothesis that elevated Akh is the basis of HFD-induced arrhythmia. The results suggest the importance of AkhR-expressing cells for normal heartbeat. However, elimination of Akh or AkhR restores normal rhythm in HFD-fed animals, suggesting that Akh and AkhR are not important for maintaining normal rhythms. If Akh signaling in ACNs is key for HFD-induced arrhythmia, genetic elimination of ACNs should unalter rhythm and rescue the HFD-induced arrhythmia. An important caveat is that the experiments do not test the specific role of ACNs. ACNs should be just a small part of the cells expressing AkhR. The experiments presented in Figure 6 cannot justify the authors' conclusion. Specific manipulation of ACNs will significantly improve the study. Moreover, the main hypothesis suggests that HFD may alter the activity of ACNs in a manner dependent on Akh and AkhR. Testing how HFD changes calcium, possibly by CaLexA (Figure 2) and/or GCaMP, in wild-type and AkhR mutants could be a way to connect ACNs to HFD-induced arrhythmia. Moreover, optogenetic manipulation of ACNs will allow for specific manipulation of ACNs, which is crucial for studying the specific role of ACNs in controlling cardiac rhythms.

      Thank you for the insightful comments. We have been trying to find a way to only target the AkhR neurons using split-Gal4. Up to now, it’s not successful. Akh/AkhR signaling shall play a key role in the ACNs, however, we cannot rule out the possibility that ACNs also receive signals other than Akh in the modulation of heartbeat.

      Interestingly, expressing rpr with AkhR-GAL4 was insufficient to eliminate both ACNs. It is not clear why it didn't eliminate both ACNs. Given the incomplete penetrance, appropriate quantifications should be helpful. Additionally, the impact on other AhkR-expressing cells should be assessed. Adding more copies of UAS-rpr, AkhR-GAL4, or both may eliminate all ACNs and other AkhR-expressing cells. The authors could also try UAS-hid instead of UAS-rpr.

      We added more data to show that AkhR+ neurons are positive in anti-Akh staining, indicating the AkhR+ neurons indeed receive Akh.

      Recommendations for the authors:

      Reviewer #1 (Recommendations For The Authors):

      Typo in line 765: "increased Akh section into the circulation." Section should be secretion.

      Thank you for finding the typo. We changed section to secretion.

      Reviewer #2 (Recommendations For The Authors):

      One interesting extension to our knowledge in Figures 3 & 4 is that loss of Akhr and loss of Akh both block the cardiac contractility defects that accompany a HFD. The main concern I have with the Akh finding is that the authors use only a GAL4 control and no UAS alone control. Metabolic phenotypes often show strain-specific effects, so to make conclusions it is essential that the authors include a UAS alone control alongside the other genotypes to be sure it does not rescue the cardiac contractility defects that accompany a HFD by itself.

      I am interested in the authors' identification of a pair of Akhr-positive neurons that innervate the cardiac muscle. I am not aware of any other studies identifying these neurons, or revealing their function. The contents of Figure 5 therefore represent the largest advance in the study. However, the characterization of these neurons is very superficial, and a lot more work to understand their regulation and function in a HFD context is needed to make conclusions about their role in any HFD-induced cardiac contractility problems. Or to determine how Akh influences the function of these specific neurons in an HFD context.

      The reason I say this is that the authors ablate all Akhr-positive cells in Figure 6 and show that this disturbs normal cardiac contractility. While studies on the one pair of Akhr-positive neurons would be really interesting, ablating all Akhr-positive cells, which includes the fat and many other cell types in the fly, is not a scientifically rigorous approach to answering this question. As a result, the authors are only able to make the claim that ablating many cell types throughout the animal disrupts cardiac contractility, which does not advance our understanding of mechanisms underlying heart contractility problems. In addition, because the experiments they designed did not test whether it was Akh binding to Akhr on those neurons that regulate cardiac contractility problems in a HFD context, their experiments do not support their model in Figure 7.

      The authors also make conclusions that are fairly speculative around Line 231 when describing their model in Figure 7. These claims are simply not supported by the data they present and must be removed. For example, the authors have not identified an endocrine-heart axis, they simply showed that changes in Akh can influence the heart, but this is not necessarily a direct effect on a specific cell type. They do not show data that Akh binds the newly identified Akhr-positive neuron pair to mediate the effects of HFD-induced contractility defects - they just ablate all Akhr-positive cells (fat, neurons, and other types) and show cardiac defects. If those neurons did mediate the abnormal cardiac rhythm promoted by Akh, then ablating those neurons (and not a large number of additional tissues) should rescue HFD-induced heart defects just like reducing Akhr or Akh did (but this is the opposite of what they see). Overall, concerns with experimental design, data interpretation, and relatively few findings that aren't reported elsewhere reduce the impact of this paper.

      We appreciate the positive comments and helpful suggestions. Indeed, it is important to get clean genetic access to the cardiac neurons. We intended to use split Gal4 system to target the AkhR cardiac neurons. We have tried to build a split Gal4 driver AkhR-p65.AD. Two rounds of injection were carried out. However, we did not recover a transgenic line.

      In the revised version, we performed immunostaining using Akh antibodies to show that anti-Akh fluorescence was observed in AkhR neurons (Figure 5-figure supplement 1), indicating an endocrine-heart axis.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public Review):

      Summary:

      The manuscript by Duilio M. Potenza et al. explores the role of Arginase II in cardiac aging, majorly using whole-body arg-ii knock-out mice. In this work, the authors have found that Arg-II exerts non-cell-autonomous effects on aging cardiomyocytes, fibroblasts, and endothelial cells mediated by IL-1b from aging macrophages. The authors have used arg II KO mice and an in vitro culture system to study the role of Arg II. The authors have also reported the cell-autonomous effect of Arg-II through mitochondrial ROS in fibroblasts that contribute to cardiac aging. These findings are sufficiently novel in cardiac aging and provide interesting insights. While the phenotypic data seems strong, the mechanistic details are unclear. How Arg II regulates the IL-1b and modulates cardiac aging is still being determined. The authors still need to determine whether Arg II in fibroblasts and endothelial contributes to cardiac fibrosis and cell death. This study also lacks a comprehensive understanding of the pathways modulated by Arg II to regulate cardiac aging.

      We sincerely appreciate the valuable feedback provided by the reviewer. It's gratifying to hear that our work provided novel information on the role of arginase-II in cardiac aging which is a complex process involving various cell types and mechanisms. We have devoted considerable effort by performing new experiments to address the reviewer's comments and to delineate more detailed mechanisms of Arg-II in cardiac aging. Please, see below our specific answers to each point of the reviewers.

      Strengths:

      This study provides interesting information on the role of Arg II in cardiac aging.

      The phenotypic data in the arg II KO mice is convincing, and the authors have assessed most of the aging-related changes.

      The data is supported by an in vitro cell culture system.

      We appreciate this reviewer’s positive assessment on the strength of our study.

      Weaknesses:

      The manuscript needs more mechanistic details on how Arg II regulates IL-1b and modulates cardiac aging.

      We made great effort and have performed new experiments in human monocyte cell line (THP1) in which iNOS is not expressed and not inducible by LPS and arg-ii gene was knocked out by CRISPR technology. Moreover, murine bone-marrow derived macrophages in which inos gene was ablated, is also use for this purpose. We found that in the human THP1 monocytes in which Arg-II but not iNOS is induced by LPS (100 ng/mL for 24 hours) (Suppl. Fig. 6A), mRNA and protein levels of IL-1b precursor are markedly reduced in arg-ii knockout THP1<sup>arg-ii<sup>-/-</sup></sup> as compared to the THP1<sup>wt</sup> cells (Suppl. Fig. 6B and 6C), further confirming that Arg-II promotes IL-1b production as also shown in RAW264.7 macrophages (Suppl. Fig. 5A and 5C). Moreover, in the mouse bone-marrow-derived macrophages, LPS-induced IL-1b production is inhibited by inos deficiency (BMDM<sup>inos-/-</sup> vs BMDM<sup>wt</sup>) (Suppl. Fig. 6D and 6E), while Arg-II levels are slightly enhanced in the BMDM<sup>inos-/-</sup> cells (Suppl. Fig. 6D and 6F). All together, these results suggest that iNOS slightly reduces Arg-II expression. Arg-II and iNOS can be upregulated by LPS independently. Both Arg-II and iNOS are required for IL-1b production upon LPS stimulation as illustrated in Suppl. Fig. 6G. For detailed results and discussion, please see answers to the comments point 2 or point 6 raised by this reviewer.

      The authors used whole-body KO mice, and the role of macrophages in cardiac aging is not studied in this model. A macrophage-specific arg II Ko would be a better model.

      We fully agree with this comment of the reviewer. Unfortunately, this macrophage specific arg-ii knockout animal model is not available, yet. Future research shall develop the macrophage-specific arg-ii<sup>-/-</sup> mouse model to confirm this conclusion with aging animals. Since Arg-II is also expressed in fibroblasts and endothelial cells and exerts cell-autonomous and paracrine functions, aging mouse models with conditional arg-ii knockout in the specific cell types would be the next step to elucidate cell-specific function of Arg-II in cardiac aging. We have pointed out this aspect for future research on page 19, lines 2 to 6.

      Experiments need to validate the deficiency of Arg II in cardiomyocytes.

      As pointed out by this reviewer in the comment point 10, Arg-II was previously reported to be expressed in isolated cardiomyocytes from in rats (PMID: 16537391). Unfortunately, negative controls. i.e., arg-ii<sup>-/-</sup> samples were not included in the study to avoid any possible background signals. We made great effort to investigate whether Arg-II is present in the cardiomyocytes from different species including mice, rats and humans and have included old arg-ii<sup>-/-</sup> mouse samples as a negative control. This allows to validate the antibody specificity and background noises beyond any reasonable doubt. The new experiments in Suppl. Fig. 4 confirms the specificity of the antibody against Arg-II in old mouse kidney which is known to express Arg-II in the S3 proximal tubular cells (Huang J, et al. 2021). To exclude the possible species-specific different expression of Arg-II in the cardiomyocytes, aged mouse and rat heart tissues were used for cellular localization of Arg-II by confocal immunofluorescence staining. As shown in Suppl. Fig. 4B and 4C, both species show Arg-II expression only in non-cardiomyocytes (cells between striated cardiomyocytes) (red arrows) but not in striated cardiomyocytes. Even in the rat myocardial infarction tissues, Arg-II was not found in cardiomyocytes but in endocardium cells (Suppl. Fig. 4B). In isolated cardiomyocytes exposed to hypoxia, a well know strong stimulus for Arg-II protein levels, no Arg-II signals could be detected, while in fibroblasts from the same animals, an elevated Arg-II levels under hypoxia is demonstrated (Fig. 5B). Furthermore, even RT-qPCR could not detect arg-ii mRNA in cardiomyocytes but in non-cardiomyocytes (Fig. 5C). All together, these results demonstrate that Arg-II are not expressed or at negligible levels in cardiomyocytes but expressed in non-cardiomyocytes. This new experiments with rat heart are included in the method section on page 20, the 1st paragraph. The results are described on page 7, the 1st paragraph, and discussed on page 12, the 2nd paragraph. Legend to Suppl. Fig. 4 is included in the file “Suppl. figure legend_R”.

      The authors have never investigated the possibility of NO involvement in this mice model.

      As above mentioned, we made great effort and have performed new experiments in human monocyte cell line (THP1) in which iNOS is not expressed and not inducible by LPS and arg-ii gene was knocked out by CRISPR technology. Moreover, murine bone-marrow derived macrophages in which inos gene was ablated, is also use for this purpose. The results show that Arg-II and iNOS can be upregulated by LPS independent of each other and iNOS slightly reduces Arg-II expression. However, both Arg-II and iNOS are required for IL-1b production upon LPS stimulation. For detailed results and discussion, please see answers to the comments point 2 or point 6 raised by this reviewer.

      A co-culture system would be appropriate to understand the non-cell-autonomous functions of macrophages.

      We appreciate the suggestion by this reviewer regarding the co-culture system to test the non-cell autonomous role of Arg-II. We think that our current model, which involves treating cells with conditioned media, is a well-established and effective method for demonstrating the non-cell autonomous role of Arg-II. This approach allows us to observe the effects of Arg-II on surrounding cells through the factors present in the conditioned media released from macrophages. The co-culture system could be considered, if the released factor in the conditioned medium is not stable. This is however not the case. Therefore, we are confident that our experimental model with conditioned medium is sufficiently enough to demonstrate a paracrine effect of cell-cell interaction (please also see answers to the comment point 16.

      The Myocardial infarction data shown in the mice model may not be directly linked to cardiac aging.

      As we have introduced and discussed in the manuscript, aging is a predominant risk factor for cardiovascular disease (CVD). Studies in experimental animal models and in humans provide evidence demonstrating that aging heart is more vulnerable to stressors such as ischemia/reperfusion injury and myocardial infarction as compared to the heart of young individuals. Even in the heart of apparently healthy individuals of old age, chronic inflammation, cardiomyocyte senescence, cell apoptosis, interstitial/perivascular tissue fibrosis, endothelial dysfunction and endothelial-mesenchymal transition (EndMT), and cardiac dysfunction either with preserved or reduced ejection fraction rate are observed. Our study is aimed to investigate the role of Arg-II in cardiac aging phenotype and age-associated cardiac vulnerability to stressors. Therefore, cardiac functional changes and myocardial infarction in response to ischemia/reperfusion injury are suitable surrogate parameters for the purpose.

      Reviewer #2 (Public Review):

      Summary:

      The results from this study demonstrated a cell-specific role of mitochondrial enzyme arginase-II (Arg-II) in heart aging and revealed a non-cell-autonomous effect of Arg-II on cardiomyocytes, fibroblasts, and endothelial cells through the crosstalk with macrophages via inflammatory factors, such as by IL-1b, as well as a cell-autonomous effect of Arg-II through mtROS in fibroblasts contributing to cardiac aging phenotype. These findings highlight the significance of non-cardiomyocytes in the heart and bring new insights into the understanding of pathologies of cardiac aging. It also provides new evidence for the development of therapeutic strategies, such as targeting the ArgII activation in macrophages.

      We're grateful for the reviewer's positive feedback, acknowledging the significant findings of our study on the role of arginase-II (Arg-II) in cardiac aging. We appreciate this reviewer’s insight into the therapeutic potential of targeting Arg-II activation in macrophages and are excited about the implications for future interventions in age-related cardiac pathologies. Thank you for recognizing the importance of our work in advancing our understanding of cardiac aging and potential therapeutic strategies.

      Strengths:

      This study targets an important clinical challenge, and the results are interesting and innovative. The experimental design is rigorous, the results are solid, and the representation is clear. The conclusion is logical and justified.

      We thank this reviewer for the positive comment.

      Weaknesses:

      The discussion could be extended a little bit to improve the realm of the knowledge related to this study.

      We appreciate this comment and have added and revised our discussion on this aspect accordingly at the end of the discussion section on page 19.

      Recommendations for the authors:

      Reviewer #1 (Recommendations For The Authors):

      I have several critical concerns, specifically about the mechanism of how Arg-II plays a role in cardiac aging.

      My major concerns are:

      (1) The authors have shown non-cell-autonomous effects on aging cardiomyocytes, fibroblasts, and endothelial cells mediated by IL-1b from aging macrophages. A macrophage-specific Arg-II knock-out mouse model is a suitable and necessary control to establish claims.

      We fully agree with this comment of the reviewer. Unfortunately, this macrophage specific arg-ii knockout animal model is not available, yet. Future research shall develop the macrophage-specific arg-ii<sup>-/-</sup> mouse model to confirm this conclusion with aging animals. Since Arg-II is also expressed in fibroblasts and endothelial cells and exerts cell-autonomous and paracrine functions, aging mouse models with conditional arg-ii knockout in the specific cell types would be the next step to elucidate cell-specific function of Arg-II in cardiac aging. We have pointed out this aspect for future research on page 19, lines 2 to 6.

      (2) This study suggests that Arg-II exerts its effect through IL-1b in cardiac ageing. However, all experiments performed to demonstrate the link between ArgII and IL-1β are correlative at best. The underlying molecular mechanism, including transcription factors involved in the regulation of IL-1β by arg-ii, has not been demonstrated.

      We sincerely appreciate this reviewer’s comment on the aspect! To make it clear, a causal role of Arg-II in promoting IL-1β production in macrophages is evidenced by the experimental results showing that old arg-ii<sup>-/-</sup> mouse heart has lower IL-1β levels than the age-matched wt mouse heart (Fig. 6A to 6D). We further showed that the cellular IL-1β protein levels and release are reduced in old arg-ii<sup>-/-</sup> mouse splenic macrophages as compared to the wt cells (Fig. 7A, 7C, and 7D). This result is further confirmed with the mouse macrophage cell line RAW264.7 (Suppl. Fig. 5A and suppl. Fig. 5C), in which we demonstrate that silencing arg-ii reduces IL-1β levels stimulated with LPS.

      According to this reviewer’s comment (see comment point 6), we made further effort to investigate possible involvement of iNOS in Arg-II-regulated IL-1β production in macrophages stimulated with LPS. We performed new experiments in human monocyte cell line (THP1) in which iNOS is not expressed and not inducible by LPS and arg-ii gene was knocked out by CRISPR technology in the cells.

      Moreover, murine bone-marrow derived macrophages in which inos gene was ablated, is also use for this purpose. We found that in the human THP1 monocytes in which Arg-II but not iNOS is induced by LPS (100 ng/mL for 24 hours) (Suppl. Fig. 6A), mRNA and protein levels of IL-1b are markedly reduced in arg-ii knockout THP1<sup>arg-ii<sup>-/-</sup></sup> as compared to the THP1<sup>wt</sup> cells (Suppl. Fig. 6B and 6C), further confirming that Arg-II promotes IL-1b production as also shown in RAW264.7 macrophages (Suppl. Fig. 5A and 5C). The results suggest that Arg-II promotes IL-1b production independently of iNOS. Moreover, the role of iNOS in IL-1b production was also studied in the mouse bone-marrow-derived macrophages in which inos gene is ablated. The results demonstrate that LPS-induced IL-1b production is inhibited by inos deficiency (BMDM<sup>inos-/-</sup> vs BMDM<sup>wt</sup>) (Suppl. Fig. 6D and 6E), while Arg-II levels are slightly enhanced in the BMDM<sup>inos-/-</sup> cells (Suppl. Fig. 6D and 6F). Since arginase and iNOS share the same metabolic substrate L-arginine, <sup>inos-/-</sup> is expected to increase IL-1b production. This is however not the case. A strong inhibition of IL-1β production in <sup>inos-/-</sup> macrophages is observed. These results implicate that iNOS promotes IL-1β production independently of Arg-II and the inhibiting effect of IL-1β by inos deficiency is dominant and able to counteract Arg-II’s stimulating effect on IL-1β production. Hence, our results demonstrate that Arg-II promotes IL-1β production in macrophages independently of iNOS. All together, these results suggest that iNOS slightly reduces Arg-II expression. Arg-II and iNOS can be upregulated by LPS independently. Both Arg-II and iNOS are required for IL-1b production upon LPS stimulation (This concept is illustrated in the Suppl. Fig. 6G). The new results are described on page 8, the last paragraph and page 9, the 1st paragraph, presented in Suppl. Fig.6. The legend to Suppl. Fig. 6 is described in the file “Supplementary figure legend-R”. The related experimental methods are updated on page 23, the last two paragraphs and page 26 the last paragraph. The results are discussed o page 14, the last paragraph and page 15, the first two paragraphs.

      (3) Figure 2: The authors have not validated the whole-body Arg-II knock-out mice for arg-ii ablation.

      Thanks for pointing out this missing information! We have added the information regarding genotyping of the mice in the method section on page 20, first paragraph. Moreover, Fig. 5C also confirms the genotyping of the non-cardiomyocyte cells isolated from wt and arg-ii<sup>-/-</sup> animals.

      (4) It is unclear why the authors have chosen to focus on IL-1β specifically, among other pro-inflammatory cytokines that were also downregulated in Arg-II-/- mice as demonstrated in Fig. 2A-D.

      We appreciate the reviewer's question, which provides an opportunity to delve deeper into our findings. In our investigation, we observed that aging is accompanied by elevated levels of various proinflammatory markers. Intriguingly, our data revealed that tnf-α remained unaffected by the ablation of arg-ii during aging in the heart tissues, while Il-1β showed a significant reduction in arg-ii<sup>-/-</sup> animals compared to age-matched wild-type (wt) mice (Fig. 2). Mcp1 is however a chemoattractant for macrophages and F4-80 serves as a pan marker for macrophages. Moreover, our previous studies demonstrate a relationship between Arg-II and IL-1β in vascular disease and obesity and age-associated renal and pulmonary fibrosis. Finally, IL-1β has been shown to play a causal role in patients with coronary atherosclerotic heart disease as shown by CANTOS trials. Therefore, we have focused on IL-1β in this study. We have now explained and strengthened this aspect in the manuscript on page 7, the last two lines and page 8, the 1st paragraph as following:

      “Taking into account that our previous studies demonstrated a relationship of Arg-II and IL-1β in vascular disease and obesity (Ming et al., 2012) and in age-associated organ fibrosis such as renal and pulmonary fibrosis (Huang et al., 2021; Zhu et al., 2023), and IL-1β has been shown to play a causal role in patients with coronary atherosclerotic heart disease as shown by CANTOS trials (Ridker et al., 2017), we therefore focused on the role of IL-1β in crosstalk between macrophages and cardiac cells such as cardiomyocytes, fibroblasts and endothelial cells”.

      (5) Although macrophages are shown to be involved in cardiac ageing in the arg-ii mouse model, the authors have not estimated macrophage infiltration and expression of inflammatory or senescence markers in the hearts of these mice.

      Thank you very much for raising this important point! Taking the comments of the reviewer into account, we have performed new experiments, i.e., multiple immunofluorescent staining to analyze the infiltrated (CCR2<sup>+</sip>/F4-80<sup>+</sup>) and resident (LYVE1<sup>+</sup>/F4-80<sup>+</sup>) macrophage populations and to investigate to which extent that Arg-II affects the infiltrated and resident macrophage populations in the aging heart and whether this is regulated by arg-ii<sup>-/-</sup>. The results show an age-associated increase in the numbers of F4/80<sup>+</sup> cells in the wt mouse heart, which is reduced in the age-matched arg-ii<sup>-/-</sup> animals (Fig. 2G). This result is in accordance with the result of f4/80 gene expression shown in Fig. 2A, demonstrating that arg-ii gene ablation reduces macrophage accumulation in the aging heart. Interestingly, resident macrophages as characterized by LYVE1<sup>+</sup>/F4-80<sup>+</sup> cells (Fig. 2E and 2H) are predominant in the aging heart as compared to the infiltrated CCR2<sup>+</sup>/F4-80<sup>+</sup> cells (Fig. 2F and 2I). The increase in both LYVE1<sup>+</sup>/F4-80<sup>+</sup> and CCR2<sup>+</sup>/F4-80<sup>+</sup> macrophages in aging heart is reduced in arg-ii<sup>-/-</sup> mice (Fig. 2E, 2F, 2H, and 2I). These new results are described on page 6, the 1st paragraph, presented in Fig. 2E to 2I, and discussed on page 13, the 2nd, paragraph. The legend to Fig. 2 is revised. The method for this additional experiment is included on page 22, the 1st paragraph.

      Moreover, the aged-associated accumulation of the senescence cells as demonstrated by p16<sup>ink4</sup> positive cells is significantly reduced in arg-ii<sup>-/-</sup> animals. This new result is incorporated in the Fig. 1 as Fig. 1G and 1H and described / discussed on page 5, the 2nd paragraph and page 14, the 2nd last sentences of the 1st paragraph. The method of p16<sup>ink4</sup> staining is included in the method section on page 22, the 1st paragraph, line 7. The legend to Fig. 1 is revised accordingly.

      (6) Previously, Arg-II has been reported to serve a crucial role in ageing associated with reduced contractile function in rat hearts by regulating Nitric Oxide Synthase (PMID: 22160208). Elevated NO and superoxide have been shown to play crucial roles in the etiology of cardiovascular diseases (PMID: 24180388). Therefore, it is important to assess whether Nitric Oxide (NO) is involved in the aging-related phenotype in this mouse model.

      Following the reviewer's suggestion, we conducted new experiments to investigate the role of nitric oxide (NO) in the context of the effect of Arg-II-induced IL-1b production in macrophages. We have addressed this question in the response to the comment point 2.

      (7) Based on the results demonstrated in the study, ablation of Arg-II can be expected to cause a reduction in inflammation-associated phenotypes throughout the body at the multi-organ level. The observed improved cardiac phenotype could be an outcome of whole-body Arg-II ablation. It would be fruitful to develop a cardiac-specific Arg-II knockout mouse model to establish the role of Arg-II in the heart, independent of other organ systems.

      We agree with the comment of the reviewer on this point. Unfortunately, as explained above (see point 1), it is currently not possible for us to perform the requested experiments, due to lack of cardiac specific arg-ii-knockout mouse model. Moreover, such an approach is complicated by the absence of Arg-II in cardiomyocytes and the expression of Arg-II in multiple cells including endothelial cells, fibroblasts and macrophage of different origin (resident and monocyte-derived infiltrating cells). It’s thus difficult to generate a cardiac-specific gene knockout mouse. One shall investigate roles of cell-specific Arg-II in cardiac aging by generating cell-specific arg-ii<sup>-/-</sup> mice. We appreciate very this important aspect and have discussed issue on page 19, the lines 2 to 6.

      (8) Contrary to the findings in this paper, Arg-II has previously been reported to be essential for IL-10-mediated downregulation of pro-inflammatory cytokines, including IL-1β (PMID: 33674584).

      Thank you very much for mentioning this study! We have now discussed thoroughly the controversies as the following on page 15, the last paragraph and page 16, the 1st paragraph;

      “It is of note that a study reported that Arg-II is required for IL-10 mediated-inhibition of IL-1b in mouse BMDM upon LPS stimulation (Dowling et al., 2021), which suggests an anti-inflammatory function of Arg-II. The results of our present study, however, demonstrate that LPS enhances Arg-II and IL-1b levels in macrophages and knockout or silencing Arg-II reduces IL-1b production and release, demonstrating a pro-inflammatory effect of Arg-II. Our findings are supported by the study from another group, which shows decreased pro-inflammatory cytokine production including IL-6 and IL-1b in arg-ii<sup>-/-</sup> BMDM most likely through suppression of NFkB pathway, since arg-ii<sup>-/-</sup> BMDM reveals decreased activation of NFkB and IL-1b levels upon LPS stimulation (Uchida et al., 2023). Most importantly, our previous study also showed that re-introducing arg-ii gene back to the arg-ii<sup>-/-</sup> macrophages markedly enhances LPS-stimulated pro-inflammatory cytokine production (Ming et al., 2012), providing further evidence for a pro-inflammatory role of arg-ii under LPS stimulation. In support of this conclusion, chronic inflammatory diseases such as atherosclerosis and type 2 diabetes (Ming et al., 2012), inflammaging in lung (Zhu et al., 2023), kidney (Huang et al., 2021) and pancreas (Xiong, Yepuri, Necetin, et al., 2017) of aged animals or acute organ injury such as acute ischemic/reperfusion or cisplatin-induced renal injury are reduced in the arg-ii<sup>-/-</sup> mice (Uchida et al., 2023). The discrepant findings between these studies and that with IL-10 may implicate dichotomous functions of Arg-II in macrophages, depending on the experimental context or conditions. Nevertheless, our results strongly implicate a pro-inflammatory role of Arg-II in macrophages in the inflammaging in aging heart”.

      (9) The authors have only performed immunofluorescence-based experiments to show fibrotic and apoptotic phenotypes throughout this study. To verify these findings, we suggest that they additionally perform RT-PCR or western blotting analysis for fibrotic markers and apoptotic markers.

      The fibrotic aspect was analyzed not only by microscopy but also by using a quantitative biochemical assay such as hydroxyproline content assessment. Hydroxyproline is a major component of collagen and largely restricted to collagen. Therefore, the measurement of hydroxyproline levels can be used as an indicator of collagen content as previous investigated in the lung (Zhu et al., 2023). We have also measured collagen genes expression by RT-qPCR as suggested by the reviewer and found an age-related decline of collagen mRNA expression levels in both wt and arg-ii<sup>-/-</sup> mice, suggesting that the age-associated cardiac fibrosis and prevention in arg-ii<sup>-/-</sup> mice is due to alterations of translational and/or post-translational regulations, including collagen synthesis and/or degradation. The results are in accordance with that reported by other studies published in the literature. We have pointed out this aspect on page 5, the 2nd paragraph:

      “The increased cardiac fibrosis in aging is however, associated with decreased mRNA levels of collagen-Ia (col-Ia) and collagen-IIIa (col-IIIa), the major isoforms of pre-collagen in the heart (Suppl. Fig. 2A and 2B), which is a well-known phenomenon in cardiac fibrotic remodelling (Besse et al., 1994; Horn et al., 2016). The results demonstrate that age-associated cardiac fibrosis and prevention in arg-ii<sup>-/-</sup> mice is due to alterations of translational and/or post-translational regulations including collagen synthesis and/or degradation”.

      The results are presented in Suppl. Fig. 2, legend to Suppl. Fig. 2 is included in the file “Suppl. figure legend_R”. Suppl. table 2 for primers is revised accordingly.

      We did not use additional markers to perform apoptotic assays with whole heart, since Fig. 3 shows good evidence that the aging is associated with increased apoptotic cells in the heart and significantly reduced in the arg-ii<sup>-/-</sup> mice. The reduction of TUNEL positive (apoptotic) cells in aged arg-ii<sup>-/-</sup> mice is mainly due to decrease in apoptotic cardiomyocytes. With the histological analysis, the apoptotic cell types can be well analysed. Moreover, biochemical assay for apoptosis such as caspase-3 cleavage with whole heart tissues can not distinguish apoptotic cell types and may not be sensitive enough for aging heart, due to relatively low numbers of apoptotic cells in aging heart as compared to myocardial infarct model.  

      (10) Figure 4: arg-ii has previously been reported to be expressed in rat cardiomyocytes (PMID: 16537391). We strongly suggest the authors verify the expression of Arg-II via immunostaining in isolated cardiomyocytes (using published protocols), and by using multiple different cardiomyocyte-specific markers for colocalization studies to prove the lack of arg-ii expression beyond a reasonable doubt.

      As pointed out by this reviewer, Arg-II was previously reported to be expressed in isolated cardiomyocytes from in rats (PMID: 16537391). Unfortunately, negative controls. i.e., arg-ii<sup>-/-</sup> samples were not included in the study to avoid any possible background signals. We made great effort to investigate whether Arg-II is present in the cardiomyocytes from different species including mice, rats and humans and have included old arg-ii<sup>-/-</sup> mouse samples as a negative control. This allows to validate the antibody specificity and background noises beyond any reasonable doubt. The new experiments in Suppl. Fig. 4 confirms the specificity of the antibody against Arg-II in old mouse kidney which is known to express Arg-II in the S3 proximal tubular cells (Huang J, et al. 2021). To exclude the possible species-specific different expression of Arg-II in the cardiomyocytes, aged mouse and rat heart tissues were used for cellular localization of Arg-II by confocal immunofluorescence staining. As shown in Suppl. Fig. 4B and 4C, both species show Arg-II expression only in non-cardiomyocytes (cells between striated cardiomyocytes) (red arrows) but not in striated cardiomyocytes. Even in the rat myocardial infarction tissues, Arg-II was not found in cardiomyocytes but in endocardium cells (Suppl. Fig. 4B). In isolated cardiomyocytes exposed to hypoxia, a well know strong stimulus for Arg-II protein levels, no Arg-II signals could be detected, while in fibroblasts from the same animals, an elevated Arg-II levels under hypoxia is demonstrated (Fig. 5B). Furthermore, RT-qPCR could not detect arg-ii mRNA in cardiomyocytes but in non-cardiomyocytes (Fig. 5C). All together, these results demonstrate that Arg-II are not expressed or at negligible levels in cardiomyocytes but expressed in non-cardiomyocytes. This new experiments with rat heart are included in the method section on page 20, the 1st paragraph. The results are described on page 7, the 1st paragraph, and discussed on page 12, the 2nd paragraph. Legend to Suppl. Fig. 4 is included in the file “Suppl. figure legend_R”.

      (11) Figure 6G: It may be worthwhile to supplement arg-ii<sup>-/-</sup> old cells with IL-1beta to see if there is an increase in TUNEL-positive cells.

      IL-1b is a well known pro-inflammatory cytokine that causes apoptosis in various cell types including cardiomyocytes (Shen Y., et al., Tex Heart Inst J. 2015;42:109–116. doi: 10.14503/THIJ-14-4254; Liu Z. et. al., Cardiovasc Diabetol 2015;14,125. doi: 10.1186/s12933-015-0288-y; Li. Z., et al., Sci Adv 2020;6:eaay0589. doi: 10.1126/sciadv.aay0589). We appreciate very much the interesting idea of this reviewer to investigate the apoptotic responses of cardiomyocytes from arg-ii<sup>-/-</sup> mice to IL-1b. We agree that it is possible that cardiomyocytes from wt from arg-ii<sup>-/-</sup> mice react differently to IL-1b, although the cardiomyocytes do not express Arg-II as demonstrated in our present study. If this is true, it must be due to non-cell autonomous effects of different aging microenvironment in the heart or epigenetic modulations of the myocytes. We found that this is a very interesting aspect and requires further extensive investigation. Since our current study focused on the effect of wt and arg-ii<sup>-/-</sup> macrophages on cardiomyocytes and non-cardiomyocytes, we prefer not to include this suggested aspect in our manuscript and would like to explore it in the following study.

      (12) Figures 4-9: It would be interesting to see if the effect of ArgII in cardiac ageing is gender-specific. It is recommended to include experimental data with male mice in addition to the results demonstrated in female mice.

      As pointed out in the manuscript, we have focused on female mice, because an age-associated increase in arg-ii expression is more pronounced in females than in males (Fig. 1A). As suggested by this reviewer, we performed additional experiments investigating effects of arg-ii deficiency in male mice during aging, focusing on pathophysiological outcomes of ischemia/reperfusion injury in ex vivo experiments. The ex vivo functional analytic experiments with Langendorff system were performed in aged male mice (see Suppl. Fig. 9). Following ischemia/reperfusion injury, wt male mice display reduced left ventricular developed pressure (LVDP), as well as the inotropic and lusitropic states (expressed as dP/dt max and dP/dt min, respectively). As previously reported (Murphy et al., 2007), we also found that old male mice are more prone to I/R injury than age-matched female animals. Specifically, 15 minutes of ischemia are enough to significantly affect the left ventricle contractile function in the male mice (Suppl. Fig. 9). As opposite, age-matched old female mice are relatively resistant to I/R injury, and at least 20 min of ischemia are necessary to induce a significant impairment of the contractile function (Fig. 10). Similar to females, the post I/R recovery of cardiac function is also significantly improved in the male arg-ii<sup>-/-</sup> mice as compared to age-matched wt animals. In addition to functional recovery, triphenyl tetrazolium chloride (TTC) staining (myocardial infarction) upon I/R-injury in males is significantly reduced in the age-matched male arg-ii<sup>-/-</sup> animals (Suppl. Fig. 9C and 9D). All together, these results reveal a role for Arg-II in heart function impairment during aging in both genders with a higher vulnerability to stress in the males. These new results are presented in Suppl. Fig. 9, described on page 10, the last paragraph and page 11. The results are discussed on page 18, the 2nd paragraph as following:

      “The fact that aged females have higher Arg-II but are more resistant to I/R injury seems contradictory to the detrimental effect of Arg-II in I/R injury. It is presumable that cardiac vulnerability to injuries stressors depends on multiple factors/mechanisms in aging. Other factors/mechanisms associated with sex may prevail and determine the higher sensitivity of male heart to I/R injury, which requires further investigation. Nevertheless, the results of our study show that Arg-II plays a role in cardiac I/R injury also in males”.

      The information on the experimental methods in the male animals is included on page 20, the last paragraph and page 21, the 1st paragraph. Legend to Suppl. Fig. 9 is included in the file “Suppl. figure legend_R”.

      (13) Figure 6G: cardiomyocytes from wild-type mice, when treated with macrophages, show 0% TUNEL-positive cells. Since it is unlikely to obtain no TUNEL staining in a cell population, there may be an experimental or analytical error.

      Now it is Fig. 7F and 7G. This is due to our specific experimental procedure. After tissue digestion, cardiomyocytes were plated on laminin-coated dishes. Laminin promotes the adhesion of survived cells. Following plating, we conducted a deep washing process to remove damaged and partially adherent cells. This step ensures that only well-shaped, viable, and strongly adherent cells remain as bioassay cells. These “healthy” cells are then selected for the experiments. the apoptotic cells are removed by washing out, reflecting the high viability of the bioassay cells. We have added this detailed information in the method section on page 24, the 2nd paragraph.

      (14) Figure 7J: Please assess whether arg-ii depletion also affects the mtROS phenotype.

      According to the suggestion of this reviewer, we performed new experiments which show that human cardiac fibroblasts (HCFs) exposed to hypoxia (1% O<sub>2</sub>, 48 hours), a known physiological trigger of Arg-II up-regulation, exhibit increased mtROS generation, which involves Arg-II (new Fig. 8M to 8P). We found that Arg-II protein level as well as mtROS (assessed by mitoSOX staining) were both enhanced, accompanied by increased levels of HIF1α (Fig 8M). Moreover, mito-TEMPO pre-incubation reduces mtROS, confirming the mitochondrial origin of the ROS. Silencing of arg-ii with rAd-mediated shRNA, significantly reduces mtROS levels demonstrating a role of Arg-II in the production of mitochondrial ROS in cardiac fibroblasts (Fig 8M to 8P). We have included these results on page 9, the last paragraph and discussed the results on page 17, the 1st paragraph. The related method is described on page 26, the 2nd paragraph. Legend to Fig. 8 is updated on page 32.

      (15) Figure 8A-E: The authors have treated human-origin endothelial cells with mice-origin macrophage-conditioned media. It would be more suitable to treat the endothelial cells with human-origin macrophage-conditioned media.

      We acknowledge the concern regarding the use of mouse-origin macrophage-conditioned media on human-origin endothelial cells. It is to note, the biological cross-reactivity of cytokines from one species on cells from a different species has been reported in the literature. It was observed that there is quite a strict threshold of 60% amino acid identity, above which cytokines tend to cross-react and statistically, cytokines would tend to cross-react more often as their % amino acid identity increases (Scheerlinck JPY. Functional and structural comparison of cytokines in different species. Vet Immunol Immunopathol. 1999; 72:39-44. https://doi.org/10.1016/S0165-2427(99)00115-4). Taking IL-1b as an example, the 17.5 kDa mature mouse and human IL-1b share 92% aa sequence identity, suggesting a high cross-reactivity. Indeed, human IL-1b has shown biological cross-reactivity in mouse cells (Ledesma E., et al. Interleukin-1 beta (IL-1β) induces tumor necrosis factor alpha (TNF-α) expression on mouse myeloid multipotent cell line 32D cl3 and inhibits their proliferation. Cytokine. 2004; 26:66-72. https://doi.org/10.1016/j.cyto.2003.12.009). Moreover, our results also support the reported cross-reactivity between human and mouse IL-1b. The CM from mouse macrophage indeed showed biological function in human endothelial cells. The observed effects of the conditioned media from aged wild-type macrophages on endothelial cells were specifically mediated through IL-1β. This conclusion is supported by our data showing that the upregulation induced by the conditioned media was significantly reduced by the addition of an IL-1β receptor blocker.

      (16) The co-culture system would be more interesting to test the non-cell autonomous role of Arg II.

      We appreciate the suggestion by this reviewer regarding the co-culture system to test the non-cell autonomous role of Arg-II. We believe that our current model, which involves treating cells with conditioned media, is a well-established and effective method for demonstrating the non-cell autonomous role of Arg-II. This approach allows us to observe the effects of Arg-II on surrounding cells through the factors present in the conditioned media. The co-culture system could be considered, if the released factor in the conditioned medium is not stable. This is however not the case. So we are confident that our experimental model with conditioned medium is good enough to demonstrate a paracrine effect of cell-cell interaction.

      Reviewer #2 (Recommendations For The Authors):

      Some minor comments may be considered to improve the realm of the knowledge related to this study.

      We appreciate this comment and have added and revised our discussion on this aspect accordingly at the end of the discussion section on page 19, the last 6 lines.

      (1) The current study showed strong evidence demonstrating the key role of cardiac macrophages in pathologies of cardiac aging, particularly, the macrophages (MФ) from the circulating blood (hematogenous). It is known that the heart is among the minority of organs in which substantial numbers of yolk-sac MФ persist in adulthood and play a crucial role in maintaining cardiac function. Thus, the adult mammalian heart contains two separate and discrete cardiac MФ subgroups, i.e., the resident MФs originated from yolk sac-derived progenitors and the hematogenous MФs recruited from circulating blood monocytes. These two subtypes of MФs may play distinctive roles in the aging heart and the response to cardiac injury. The author could extend the discussion on the possibility of the resident MФs in aging hearts, which could be further investigated in the future.

      We appreciate the suggestion and agree that it provides valuable insight into the study. Taking the comments of the reviewer 1 into account, we have performed new experiments, i.e., co- immunostaining to analyze the infiltrated (CCR2<sup>+</sup>/F4-80<sup>+</sup>) and resident (LYVE1<sup>+</sup>/F4-80<sup>+</sup>) macrophage populations and to investigate to which extent that Arg-II affects infiltrated and resident macrophage populations in the aging heart. We found that in line with the gene expression of f4/80, immunofluorescence staining reveals an age-associated increase in the numbers of F4/80<sup>+</sup> cells in the wt mouse heart, which is reduced in the age-matched arg-ii<sup>-/-</sup> animals (Fig. 2E, F, G), demonstrating that arg-ii gene ablation reduces macrophage accumulation in the aging heart. Interestingly, resident macrophages as characterized by LYVE1<sup>+</sup>/F4-80<sup>+</sup> cells (Fig. 2E and 2H) are predominant in the aging heart as compared to the infiltrated CCR2<sup>+</sup>/F4-80<sup>+</sup> cells (Fig. 2F and 2I). The increase in both LYVE1<sup>+</sup>/F4-80<sup>+</sup> and CCR2<sup>+</sup>/F4-80<sup>+</sup> macrophages in aging heart is reduced in arg-ii<sup>-/-</sup> mice (Fig. 2E, 2F, 2H, and 2I). These new results are described on page 6, the 1st paragraph, presented in Fig. 2E to 2I, and discussed on page 13, the 2nd, paragraph. The legend to Fig. 2 is revised. The method for this additional experiment is included on page 22, the 1st paragraph.

      (2) It would be beneficial to the readers if the author could provide some explanation about why ArgII could not be detected in VSMCs in the mouse heart and the species difference between humans and mice. In addition, the author may provide an assumption on the possibility that there may also be a cross-talk between macrophages and VSMCs in the aging heart. A little bit more explanation in the Discussion will be helpful.

      We acknowledge and appreciate the suggestion and have discussed these points on page 19 as the following:

      “In this context, another interesting aspect is the cross-talk between macrophages and vascular SMC in the aging heart. In our present study, we could not detect Arg-II in vascular SMC of mouse heart but in that of human heart. This could be due to the difference in species-specific Arg-II expression in the heart or related to the disease conditions in human heart which is harvested from patients with cardiovascular diseases. Indeed, in the apoe<sup>-/-</sup> mouse atherosclerosis model, aortic SMCs do express Arg-II (Xiong et al., 2013). It is interesting to note that rodents hardly develop atherosclerosis as compared to humans. Whether this could be partly contributed by the different expression of Arg-II in vascular SMC between rodents and humans requires further investigation. In our present study, the aspect of the cross-talk between macrophages and vascular SMC is not studied. Since the crosstalk between macrophages and vascular SMC has been implicated in the context of atherogenesis as reviewed (Gong et al., 2025), further work shall investigate whether Arg-II expressing macrophages could interact with vascular SMC in the coronary arteries in the heart and contribute to the development of coronary artery disease and/or vascular remodelling and the underlying mechanisms“.

      (3) Please clarify the arrows in Figure 9C that indicate the infarct area in each splicing section from one heart.

      The arrows in Figure 9C (now Fig. 10C) are indeed utilized to indicate the sections displaying the infarcted area within each splicing section from one heart. We have explained the arrow in the figure legend (now Fig. 10 and also new Suppl. Fig. 9).

    1. Author response:

      Our response aims to address the following:

      The lack of pleiotropy is an unconfirmable assumption of MR, and the addition of those models is therefore quite important, as this is a primary weakness of the MR approach. Given that concern, I read the sensitivity analyses using pleiotropy-robust models as the main result, and in that case, they can't test their hypotheses as these models do not show a BMI instrumental variable association. The other weakness, which might be remedied, is that the power of the tests here is not described. When a hypothesis is tested with an under-powered model, the apparent lack of association could be due to inadequate sample size rather than a true null. Typically, when a statistically significant association is reported, power concerns are discounted as long as the study is not so small as to create spurious findings. That is the case with their primary BMI instrumental variable model - they find an association so we can presume it was adequately powered. But the primary models they share are not the pleiotropy-robust methods MR-Egger, weighted median, and weighted mode. The tests for these models are null, and that could mean a couple of things: (1) the original primary significant association between the BMI genetic instrument was due to pleiotropy, and they therefore don't have a robust model to explore the effects of the tobacco genetic instrument. (2) The power for the sensitivity analysis models (the pleiotropy-robust methods) is inadequate, and the authors share no discussion about the relative power of the different MR approaches. If they do have adequate power, then again, there is no need to explore the tobacco instrument.

      We would like to highlight that post-hoc power calculations are often considered redundant since the statistical power estimated for an observed association is directly related to its p-value[1]. In other words, the uncertainty of the association is already reflected in its 95% confidence interval. However, we understand power calculations may still be of interest to the reader, so we will incorporate them in the revised manuscript.

      The reason we use inverse variance weighted (IVW) Mendelian randomization (MR) to obtain our main results rather than the pleiotropy-robust methods mentioned by the reviewer/editors (i.e., MR-Egger, weighted median and weighted mode) is that the former has greater statistical power than the latter[2]. Hence, instead of focussing on the statistical significance of the pleiotropy-robust analyses, we consider it is of more value to compare the consistency of the effect sizes and direction of the effect estimates across methods. Any evidence of such consistency increases our confidence in our main findings, since each method relies on different assumptions. As we cannot be sure about the presence and nature of horizontal pleiotropy, it is useful to compare results across methods even though they are not equally powered. It is true that our results for the genetically predicted effects of body mass index (BMI) on the risk of head and neck cancer (HNC) differ across methods. This is precisely what led us to question the validity of our main finding (suggesting a positive effect of BMI on HNC risk). We will clarify this in the discussion section of the revised manuscript as advised.

      We understand that the reviewer/editors are concerned that we do not have a robust model to explore the role of tobacco consumption in the link between BMI and HNC. However, we have a different perspective on the matter. If indeed, the main IVW finding for BMI and HNC is due to pleiotropy (since some of the pleiotropy-robust methods suggest conflicting results), then the IVW multivariable MR method is a way to explore the potential source of this bias[3]. We were particularly interested in exploring the role of smoking in the observed association because smoking and adiposity are known to influence each other [4-9] and share a genetic basis[10, 11].

      References:

      (1) Heinsberg LW, Weeks DE: Post hoc power is not informative. Genet Epidemiol 2022, 46(7):390-394.

      (2) Burgess S, Butterworth A, Thompson SG: Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol 2013, 37(7):658-665.

      (3) Burgess S, Davey Smith G, Davies NM, Dudbridge F, Gill D, Glymour MM, Hartwig FP, Kutalik Z, Holmes MV, Minelli C et al: Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res 2019, 4:186.

      (4) Morris RW, Taylor AE, Fluharty ME, Bjorngaard JH, Asvold BO, Elvestad Gabrielsen M, Campbell A, Marioni R, Kumari M, Korhonen T et al: Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortium. BMJ Open 2015, 5(8):e008808.

      (5) Taylor AE, Morris RW, Fluharty ME, Bjorngaard JH, Asvold BO, Gabrielsen ME, Campbell A, Marioni R, Kumari M, Hallfors J et al: Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers. PLoS Genet 2014, 10(12):e1004799.

      (6) Taylor AE, Richmond RC, Palviainen T, Loukola A, Wootton RE, Kaprio J, Relton CL, Davey Smith G, Munafo MR: The effect of body mass index on smoking behaviour and nicotine metabolism: a Mendelian randomization study. Hum Mol Genet 2019, 28(8):1322-1330.

      (7) Asvold BO, Bjorngaard JH, Carslake D, Gabrielsen ME, Skorpen F, Smith GD, Romundstad PR: Causal associations of tobacco smoking with cardiovascular risk factors: a Mendelian randomization analysis of the HUNT Study in Norway. Int J Epidemiol 2014, 43(5):1458-1470.

      (8) Carreras-Torres R, Johansson M, Haycock PC, Relton CL, Davey Smith G, Brennan P, Martin RM: Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank. BMJ 2018, 361:k1767.

      (9) Freathy RM, Kazeem GR, Morris RW, Johnson PC, Paternoster L, Ebrahim S, Hattersley AT, Hill A, Hingorani AD, Holst C et al: Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index. Int J Epidemiol 2011, 40(6):1617-1628.

      (10) Thorgeirsson TE, Gudbjartsson DF, Sulem P, Besenbacher S, Styrkarsdottir U, Thorleifsson G, Walters GB, Consortium TAG, Oxford GSKC, consortium E et al: A common biological basis of obesity and nicotine addiction. Transl Psychiatry 2013, 3(10):e308.

      (11) Wills AG, Hopfer C: Phenotypic and genetic relationship between BMI and cigarette smoking in a sample of UK adults. Addict Behav 2019, 89:98-103.

    1. 1. Be aware of ergonomic problems in the operatory.2. Chairside stretching is an important strategy to perform throughout the workday toprevent microtrauma and muscle imbalances. Strengthen specific stabilizing muscles(like shoulder and back). Physical therapists, neuromuscular therapist should beconsulted for musculoskeletal disorders.3. Patient should be seated so that all his body parts are well supported. The patient’s headshould always be supported by adjustable/articulated.4. Upright Position is the initial position of chair from which further adjustments are made.Almost Supine position is such that patient’s head, knees and feet are approximately atsame level, patient is almost in a lying position. Patient’s head should not be lower thanfeet. In reclined 45 degree, chair is reclined at 45°, and the mandibular occlusal surfacesare almost at 45° to the floor.5. For better understanding, sitting positions of operator are related to a clock. In this clockconcept, an imaginary circle is drawn over the dental chair, keeping the patient’s head at thecenter of the circle. Then the numbering to circle is given similar to a clock with the top ofthe circle at 12 o’clock.6. Accordingly the operator’s positions (right handed operator) can be 7 o’clock, 9 o’clock,11 o’clock, and 12 o’clock and for left handed operator, it can be 5 o’clock, 3 o’clock and 1o’clock.7. Stool height of assistant should be 4 to 6 inches above the dentist’s eye level

      ① Be aware of ergonomic problems in the operatory. ① Klinik ortamındaki ergonomik sorunların farkında olun.

      ② Chairside stretching is an important strategy to perform throughout the workday to prevent microtrauma and muscle imbalances. Strengthen specific stabilizing muscles (like shoulder and back). Physical therapists, neuromuscular therapist should be consulted for musculoskeletal disorders. ② Gün boyunca yapılacak sandalye başı esneme hareketleri, mikrotravmaları ve kas dengesizliklerini önlemek için önemli bir stratejidir. Omuz ve sırt gibi belirli dengeleyici kaslar güçlendirilmelidir. Kas-iskelet sistemi rahatsızlıklarında fizyoterapistlere veya nöromüsküler terapistlere danışılmalıdır.

      ③ Patient should be seated so that all his body parts are well supported. The patient’s head should always be supported by adjustable/articulated. ③ Hastanın tüm vücut bölgeleri iyi bir şekilde desteklenecek biçimde oturtulmalıdır. Hastanın başı her zaman ayarlanabilir/eklemli bir baş desteği ile desteklenmelidir.

      ④ Upright Position is the initial position of chair from which further adjustments are made. Almost Supine position is such that patient’s head, knees and feet are approximately at same level, patient is almost in a lying position. Patient’s head should not be lower than feet. In reclined 45 degree, chair is reclined at 45°, and the mandibular occlusal surfaces are almost at 45° to the floor. ④ Dik pozisyon, koltuğun başlangıç konumudur ve buradan sonra ayarlamalar yapılır. Neredeyse sırtüstü pozisyonda hastanın başı, dizleri ve ayakları yaklaşık aynı seviyededir; hasta neredeyse yatar durumdadır. Hastanın başı, ayaklarından daha aşağıda olmamalıdır. 45 derece yatırılmış pozisyonda ise koltuk 45° eğimle yatırılmıştır ve mandibular oklüzal yüzeyler zemine yaklaşık 45° açıyla durur.

      ⑤ For better understanding, sitting positions of operator are related to a clock. In this clock concept, an imaginary circle is drawn over the dental chair, keeping the patient’s head at the center of the circle. Then the numbering to circle is given similar to a clock with the top of the circle at 12 o’clock. ⑤ Daha iyi anlaşılması için operatörün oturma pozisyonları bir saat ile ilişkilendirilir. Bu saat kavramında, hastanın başı merkeze alınarak diş üniti üzerine hayali bir daire çizilir. Dairenin üst kısmı 12 yönü olacak şekilde saat numaraları verilir.

      ⑥ Accordingly the operator’s positions (right handed operator) can be 7 o’clock, 9 o’clock, 11 o’clock, and 12 o’clock and for left handed operator, it can be 5 o’clock, 3 o’clock and 1 o’clock. ⑥ Buna göre, sağ elini kullanan bir operatör için pozisyonlar 7, 9, 11 ve 12 yönleri olabilirken; sol elini kullanan operatör için bu pozisyonlar 5, 3 ve 1 yönleri olabilir.

      ⑦ Stool height of assistant should be 4 to 6 inches above the dentist’s eye level. ⑦ Asistanın oturduğu taburenin yüksekliği, diş hekiminin göz hizasından 4 ila 6 inç daha yüksek olmalıdır.

    Annotators

    1. Reviewer #1 (Public review):

      In this manuscript, Wolfson and co-authors demonstrate a combination of an injury-specific enhancer and engineered AAV that enhances transgene expression in injured myocardium. The authors characterize spatiotemporal dynamics of TREE-directed AAV expression in the injured heart using a non-invasive longitudinal monitoring system. They show that transgene expression is drastically increased 3 days post-injury, driven by 2ankrd1a. They reported a liver-detargeted capsid, AAV cc.84, with decreased viral entry into the liver while maintaining TREE transgene specificity. They further identified the IR41 serotype with enhanced transgene expression in injured myocardium from AAV library screening. This is an interesting study that optimizes the potential application of TREE delivery for cardiac repair. However, several concerns were raised prior to publication:

      Major Concerns:

      (1) In Figure 1, the authors demonstrated that 2andkrd1aEN is not responsive to sham injury after AAV delivery, but Figure 3 shows a strong response to sham when AAV is delivered after injury. The authors do not provide an explanation for this observation.

      (2) In Figure 4, a higher GFP signal is observed in all areas of the heart of the IR41-treated mouse compared to AAV9. The authors should compare GFP expression between AAV9 and IR41 in uninjured hearts and provide insights into enhanced cardiac tropism to confirm that IR41 is MI injury enriched, not Sham as well.

      (3) The authors should clarify which model is being used between myocardial infarction (MI) and Ischemia-reperfusion (IR) throughout the figures, as the experimental schemes and figure legends did not match with each other (MI or IR in Figure 1A, 1D, 3A, and 3E). Both models cause different types of injuries. The authors should explain the difference in TREE expression in both models.

      (4) In Figure 2, the authors use REN instead of 2ankrd1aEN to demonstrate liver-detargeting using AAV cc.84. Is there a specific reason?

    2. Reviewer #2 (Public review):

      In this manuscript by Wolfson et al., various adeno-associated viruses (AAVs) were delivered to mice to assess the cardiac-specificity, injury border-zone cardiomyocyte transduction rate, and temporal dynamics, with the goal of finding better AAVs for gene therapies targeting the heart. The authors delivered tissue regeneration enhancer elements (TREEs) controlling luciferase expression and used IVIS imaging to examine transduction in the heart and other organs. They found that luciferase expression increased in the first week after injury when using AAV9-TREE-Hsp68 promoter, waning to baseline levels by 7 weeks. However, AAV9 vectors transduced the liver, which was significantly reduced by using an AAV.cc84 liver de-targeting capsid. The authors then performed in vivo screening of AAV9 capsids and found AAV-IR41 to preferentially transduce injured myocardium when compared to AAV9. Finally, the authors combined TREEs with AAV-IR41 to show improved luciferase expression compared to AAV9-TREE at 7, 14, and 21 days after injury.

      Overall, this manuscript provides insights into TREE expression dynamics when paired with various heart-targeting capsids, which can be useful for researchers studying ischemic injury of murine hearts. While the authors have shown the success of using AAV9-TREEs in porcine hearts, it is unknown whether the expression dynamics would be similar in pigs or humans, as mentioned in the limitations.

      The following questions and concerns can be addressed to improve the manuscript:

      (1) From the IVIS data, it seems that the Hsp68 promoter might not be "normally silent in mouse tissues," specifically in the liver (Figure S1B). Are there any other promoters that can be combined with TREEs to induce cardiac-injury specific expression while minimizing liver expression? This could simplify capsid design to focus on delivery to injured areas.

      (2) Why is it that AAV9-TREE-Hsp68-Luc wane in expression (Figure 1C and 1D), whereas AAV.cc84-TREE-Hsp68-Luc expresses stably for over 2 months (3E)? This has important implications for the goal of transience in gene delivery.

      (3) AAV-IR41 was found to transduce cardiomyocytes in the injured zone. However, this capsid also shows a very strong off-target liver expression. From a capsid design perspective, is it possible to combine AAV-cc84 and AAV-IR41?

      (4) It would be helpful to see immunostaining for the various time points in Figure 5. Is it possible to use an anti-luciferase antibody (or AAV-TREE-Hsp68-eGFP) to compare the two TREE capsids?

    1. Reviewer #2 (Public review):

      Summary:

      The manuscript "Independent validation of transgenerational inheritance of learned pathogen avoidance in C. elegans" by Akinosho and Vidal-Gadea offers evidence that learned avoidance of the pathogen PA14 can be inherited for at least two generations. In spite of initial preference for the pathogen when exposed in a 'training session', 24 hours of feeding on this pathogen evoked avoidance. The data are robust, replicated in 4 trials, and the authors note that diminished avoidance is inherited in generations F1 and F2.

      Strengths:

      These results contrast with those reported by Gainey et al, who only observed intergenerational inheritance for a single generation. Although the authors' study does not explain why Gainey et el fail to reproduce the Murphy lab results, one possibility is that a difference in a media ingredient could be responsible.

      Weaknesses:

      The authors do not list the sources of their media ingredients, which might be important with regard to reproducibility.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary

      In this beautiful paper the authors examined the role and function of NR2F2 in testis development and more specifically on fetal Leydig cells development. It is well known by now that FLC are developed from an interstitial steroidogenic progenitors at around E12.5 and are crucial for testosterone and INSL3 production during embryonic development, which in turn shapes the internal and external genitalia of the male. Indeed, lack of testosterone or INSL3 are known to cause DSD as well as undescended testis, also termed as cryptorchidism. The authors first characterized the expression pattern of the NR2R2 protein during testis development and then used two cKO systems of NR2F2, namely the Wt1-creERT2 and the Nr5a1-cre to explore the phenotype of loss of NR2F2. They found in both cases that mice are presenting with undescended testis and major reduction in FLC numbers. They show that NR2F2 has no effect on the amount and expression of the progenitor cells but in its absence, there are less FLC and they are immature.

      The effect of NR2F2 is cell autonomous and does not seem to affect other signalling pathways implemented in Leydig cell development as the DHH, PDGFRA and the NOTCH pathway.

      Overall, this paper is excellent, very well written, fluent and clear. The data is well presented, and all the controls and statistics are in place. I think this paper will be of great interest to the field and paves the way for several interesting follow up studies as stated in the discussion

      Reviewer #2 (Public review):

      The major conclusion of the manuscript is expressed in the title: "NR2F2 is required in the embryonic testis for Fetal Leydig Cell development" and also at the end of the introduction and all along the result part. All the authors' assertions are supported by very clear and statistically validated results from ISH, IHC, precise cell counting and gene expression levels by qPCR. The authors used two different conditional Nr2f2 gene ablation systems that demonstrate the same effects at the FLC level. They also showed that the haplo-insufficiency of Wt1 in the first system (knock-in Wt1-cre-ERT2) aggravated the situation in FLC differentiation by disturbing the differentiation of Sertoli cells and their secretion of pro-FLC factors, which had a confounding effect and encouraged them to use the second system. This demonstrates the great rigor with which the authors interpreted the results. In conclusion, all authors' claims and conclusions are justified by their high-quality results.

      Recommendations for the authors:

      We thank the reviewers for their comments which have improved and strengthened our manuscript. Please see our responses to specific comments below in blue.

      Reviewer #1 (Recommendations for the authors):

      I have several small comments:

      (1) There has been recently a preprint from the Yao lab about the role of NR2F2 is steroidogenic cells (https://www.biorxiv.org/content/10.1101/2024.09.16.613312v1). They performed cKO of NR2F2 using the Wt1creERT2 and found similar results. You should present and discuss this paper in light of your results.

      Estermann et al., report a very similar phenotype of FLC hypoplasia in an independent mouse model of Nr2f2 conditional mutation. We have now referred to this article in the discussion of our manuscript as suggested.

      (2) In the introduction I think it is important to mention that the steroidogenic progenitors are derived from Wnt5a positive cells (https://pubmed.ncbi.nlm.nih.gov/35705036/).

      We have mentioned this point in the introduction as suggested.

      (3) In both models you show a decrease in the number of FLC (60% or 40%) and yet they both present with undescended testis. It is important to discuss the fact that there is no need for a complete ablation of testosterone and INSL3 in order to get cryptorchidism.

      We have mentioned this point in the discussion as suggested.

      The fact that you get only partial reduction in FLC is likely due to redundancy with additional factors, possibly the ARX like you stated in the discussion and it will be interesting to explore that in the future but is beyond the scope of the current paper.

      We agree with the reviewer, this question could be addressed by analyzing Arx,Nr2f2 double mutants.

      (4) In page 8 line 11 you mention data not shown- not sure if this is allowed in the journal .

      The data is now shown in Figure S5A as suggested.

      (5) In Figure 2- it will be good if you add a schematic model of the mouse strains used as well as the experimental and control mice next to the Tam scheme. Similar scheme should be in figure 3 for Nr5a1-cre.

      We have modified Figures 2 and 3 as suggested.

      (6) There is a clear and pronounced effect of the testis cords number and size. It will be good if you could qualify testis cord numbers/ diameter in the mutants even if you do not follow in detail the effect on Sertoli cells

      We have quantified testis cords numbers and area in E14.5 Control and Wt1<sup>CreERT2/+</sup>; Nr2f2<sup>flox/flox</sup> testes. This data is now shown in Figure S2M.

      (7) It will be good to present the undescended testis in the Wt1-cre model in figure 2 and not in the supp figure

      The data is now shown in Figure 2H-I as suggested.

      (8) Please add labelling of the testis, kidney, bladder, vas deferens in figure 3 N+O and in the Wt1-cre model

      We have added the labels in Figures 2 and 3 as suggested.

      (9) In figure 5 which present both models- it will be good to use the scheme I suggested before to highlight which results refer to which ko model.

      We have modified Figure 5 as suggested.

      Reviewer #2 (Recommendations for the authors):  

      The work presented in this manuscript gave me food for thought. I have always been intrigued by the fact that of the large number of interstitial cells in the testis, a minority differentiate into mature androgen-producing Leydig cells. In other words, how is the number of functional steroidogenic cells defined from a large pool of progenitor cells (ARX and NR2F2 positive ones)? This may have a link with the levels of androgens produced (a kind of feedback control) or the effectiveness of these androgens on the target tissues (i.e.: as spermatogenesis efficiency in adults). In addition, there must be specific signals (probably linked to gonadotropins) that induce the recruitment of Leydig cells from the progenitor pool. Perhaps the genetic models generated in this study could help to address these questions. I leave it to the authors to judge.

      We agree with the reviewer. How NR2F2 (and other factors) integrate extrinsic cues to regulate the recruitment of a subset of interstitial steroidogenic progenitors along the Leydig cell differentiation pathway is a fascinating question beyond the scope of this work.

      In addition to this reflection, I propose a few minor modifications likely to improve the quality of the manuscript:

      (1) Page 3, lane 3: I suggest to replace "growth" by "differentiation"

      We have modified the text as suggested.

      (2) Page 3, lane 4: the "scrotum" is missing in the parenthesis. Please add it before "and penis"

      We have modified the text as suggested.

      (3) Page 5, lanes 21-24: kidney hypoplasia is also evident on Fig S2H (stated in the figure legend). It could be also mentioned in this sentence and it implies "...that NR2F2 function is required for testicular and kidney development."

      We have modified the text as suggested.

      (4) Page 5, lanes 28-30. In addition to the reduction in the number of HSD3B-positive cells, HSD3B staining seems clearly more faint in mutant FLC (Fig 2M) compared to adrenal cells on the same section or FLC in control gonads. This fits well with other results on the level of steroidogenic enzymes (Fig 2O) and those presented thereafter (Fig S4 I-J and Fig 5). Perhaps the author could mention this fact.

      We have modified the text as suggested in the results section “NR2F2 is required for FLC maturation” (Page 8).

      (5) Page 5, lanes 31-34: testicular descent is hugely sensible to INSL3 in the mouse (by contrast with other species where androgens seem to be more critical). I was wondering if you can check a better phenotypic marker for the absence (or reduction) of androgens like the differentiation of epididymides by HE staining or the anogenital distance at birth.

      We have measured the anogenital distance at P0 and P1 as suggested and have included the corresponding graph in Fig. S3P

      (6) Page 8, lanes 21-22: "HSD3B positive FLC were smaller and more elongated". It is clear on Fig 5F but not evident on Fig 5D. Could the authors propose another image?

      We have modified Figure 5 as suggested and provide now another example of HSD3B positive FLCs in a Nr5a1Cre; Nr2f2<sup>flox/flox</sup> mutant gonad (Fig. 5D) and the corresponding control littermate (Fig. 5C).

      (7) Page 14, lane 12: "(arrow in I)" should be "(arrow in H)"

      We have modified the text as suggested. Please note that ACTA 2 expression is now shown in Figure S2 G-H.

      (8) Page 15, lane 6: "Arrows indicate NR5A1 positive FLC". There is no arrow on Fig4 C,D; but a kind of scale bar on the enlargement shown in C.

      We have modified Figure 4 as suggested.

    1. Reviewer #2 (Public review):

      Summary:

      The authors tested the efficiency of a model combining Pavlovian fear valuation and instrumental valuation. This model is amenable to many behavioral decision and learning setups - some of which have been or will be designed to test differences in patients with mental disorders (e.g., anxiety disorder, OCD, etc.).

      Strengths:

      (1) Simplicity of the model which can at the same time model rather complex environments.

      (2) Introduction of a flexible omega parameter.

      (3) Direct application to a rather advanced VR task.

      (4) The paper is extremely well written. It was a joy to read.

      Weaknesses:

      Almost none! In very few cases, the explanations could be a bit better.

      Comments on revised version:

      No further comments.

    2. Author response:

      The following is the authors’ response to the original reviews

      Reviewer #1 (Public review):

      Summary:

      This paper provides a computational model of a synthetic task in which an agent needs to find a trajectory to a rewarding goal in a 2D-grid world, in which certain grid blocks incur a punishment. In a completely unrelated setup without explicit rewards, they then provide a model that explains data from an approach-avoidance experiment in which an agent needs to decide whether to approach or withdraw from, a jellyfish, in order to avoid a pain stimulus, with no explicit rewards. Both models include components that are labelled as Pavlovian; hence the authors argue that their data show that the brain uses a Pavlovian fear system in complex navigational and approach-avoid decisions.

      Thanks to the reviewer’s comments, we have now added the following text to our Discussion section (Lines 290-302):

      “When it comes to our experiments, both the simulation and VR experiment models are related and derived from the same theoretical framework maintaining an algebraic mapping. They differ only in task-specific adaptations i.e. differ in action sets and differ in temporal difference learning rules - multi-step decisions in the grid world vs. Rescorla-Wagner rule for single-step decisions in the VR task. This is also true for Dayan et al. [2006] who bridge Pavlovian bias in a Go-No Go task (negative auto-maintenance pecking task) and a grid world task. A further minor difference between the simulation and VR experiment models is the use of a baseline bias in the human experiment's RL and the RLDDM model, where we also model reaction times with drift rates which is not a behaviour often simulated in the grid world simulations. As mentioned previously, we use the grid world tasks for didactic purposes, similar to Dayan et al. [2006] and common to test-beds for algorithms in reinforcement learning [Sutton et al., 1998]. The main focus of our work is on Pavlovian fear bias in safe exploration and learning, rather than on its role in complex navigational decisions. Future work can focus on capturing more sophisticated safe behaviours, such as escapes [Evans et al., 2019, Sporrer et. al., 2023] and model-based planning, which span different aspects of the threat-imminence continuum [Mobbs et al., 2020].”

      In the first setup, they simulate a model in which a component they label as Pavlovian learns about punishment in each grid block, whereas a Q-learner learns about the optimal path to the goal, using a scalar loss function for rewards and punishments. Pavlovian and Q-learning components are then weighed at each step to produce an action. Unsurprisingly, the authors find that including the Pavlovian component in the model reduces the cumulative punishment incurred, and this increases as the weight of the Pavlovian system increases. The paper does not explore to what extent increasing the punishment loss (while keeping reward loss constant) would lead to the same outcomes with a simpler model architecture, so any claim that the Pavlovian component is required for such a result is not justified by the modelling. 

      Thanks to the reviewer’s comments, we have now added the following text to our Discussion section (Line 303-313):

      “In our simulation experiments, we assume the coexistence of the Pavlovian fear system and the instrumental system to demonstrate the emergent safety-efficiency trade-off from their interaction. It is possible that similar behaviours could be modelled using an instrumental system alone, with higher punishment sensitivity, therefore we do not argue for the necessity for the Pavlovian fear system here. Instead, the Pavlovian fear system itself could be a potential biologically plausible implementation of punishment sensitivity. Unlike punishment sensitivity (scaling of the punishments), which has not been robustly mapped to neural substrates in fMRI studies; the neural substrates for the Pavlovian fear system are well known (e.g., the limbic loop and amygdala, further see Supplementary Fig. 16). Additionally, Pavlovian fear system provides a separate punishment memory that cannot be erased by greater rewards like [Elfwing and Seymour, 2017, Wang et al., 2018]. This fundamental point can be observed in our simple T-maze simulations, where the Pavlovian fear system encourages avoidance behaviour and the agent chooses the smaller reward instead of the greater reward.”

      In the second setup, an agent learns about punishments alone. "Pavlovian biases" have previously been demonstrated in this task (i.e. an overavoidance when the correct decision is to approach). The authors explore several models (all of which are dissimilar to the ones used in the first setup) to account for the Pavlovian biases. 

      Thanks to the reviewer’s comments, we have now added a paragraph in our Discussion section (Line 290-302) explaining the similarity of our models and their integrated interpretation. We hope this addresses the reviewer’s concerns.

      Strengths: 

      Overall, the modelling exercises are interesting and relevant and incrementally expand the space of existing models. 

      Weaknesses: 

      I find the conclusions misleading, as they are not supported by the data. 

      First, the similarity between the models used in the two setups appears to be more semantic than computational or biological. So it is unclear to me how the results can be integrated. 

      Thanks to the reviewer’s comments, we have now added a paragraph in our Discussion section (Line 290-302 onwards) explaining the similarity of our models and their integrated interpretation. We hope this addresses the reviewer’s concerns.

      Secondly, the authors do not show "a computational advantage to maintaining a specific fear memory during exploratory decision-making" (as they claim in the abstract). Making such a claim would require showing an advantage in the first place. For the first setup, the simulation results will likely be replicated by a simple Q-learning model when scaling up the loss incurred for punishments, in which case the more complex model architecture would not confer an advantage. The second setup, in contrast, is so excessively artificial that even if a particular model conferred an advantage here, this is highly unlikely to translate into any real-world advantage for a biological agent. The experimental setup was developed to demonstrate the existence of Pavlovian biases, but it is not designed to conclusively investigate how they come about. In a nutshell, who in their right mind would touch a stinging jellyfish 88 times in a short period of time, as the subjects do on average in this task? Furthermore, in which real-life environment does withdrawal from a jellyfish lead to a sting, as in this task? 

      Crucially, simplistic models such as the present ones can easily solve specifically designed lab tasks with low dimensionality but they will fail in higher-dimensional settings. Biological behaviour in the face of threat is utterly complex and goes far beyond simplistic fight-flight-freeze distinctions (Evans et al., 2019). It would take a leap of faith to assume that human decision-making can be broken down into oversimplified sub-tasks of this sort (and if that were the case, this would require a meta-controller arbitrating the systems for all the sub-tasks, and this meta-controller would then struggle with the dimensionality j). 

      Thanks to the reviewer’s comments, we have now mentioned this point in Lines 299-302.

      On the face of it, the VR task provides higher "ecological validity" than previous screen-based tasks. However, in fact, it is only the visual stimulation that differs from a standard screen-based task, whereas the action space is exactly the same. As such, the benefit of VR does not become apparent, and its full potential is foregone. 

      If the authors are convinced that their model can - then data from naturalistic approach-avoidance VR tasks is publicly available, e.g. (Sporrer et al., 2023), so this should be rather easy to prove or disprove. In summary, I am doubtful that the models have any relevance for real-life human decision-making. 

      Finally, the authors seem to make much broader claims that their models can solve safety-efficiency dilemmas. However, a combination of a Pavlovian bias and an instrumental learner (study 1) via a fixed linear weighting does not seem to be "safe" in any strict sense. This will lead to the agent making decisions leading to death when the promised reward is large enough (outside perhaps a very specific region of the parameter space). Would it not be more helpful to prune the decision tree according to a fixed threshold (Huys et al., 2012)? So, in a way, the model is useful for avoiding cumulatively excessive pain but not instantaneous destruction. As such, it is not clear what real-life situation is modelled here. 

      We hope our additions to the Discussion section, from Line 290 to Line 313 address the reviewer’s concerns.  

      A final caveat regarding Study 1 is the use of a PH associability term as a surrogate for uncertainty. The authors argue that this term provides a good fit to fear-conditioned SCR but that is only true in comparison to simpler RW-type models. Literature using a broader model space suggests that a formal account of uncertainty could fit this conditioned response even better (Tzovara et al., 2018). 

      We have now added a line discussing this. (Line 356-358)

      “Future work could also use a formal account of uncertainty which could fit the fear-conditioned skin-conductance response better than Pearce-Hall associability [Tzovara et al., 2018].”

      Reviewer #2 (Public review): 

      Summary: 

      The authors tested the efficiency of a model combining Pavlovian fear valuation and instrumental valuation. This model is amenable to many behavioral decision and learning setups - some of which have been or will be designed to test differences in patients with mental disorders (e.g., anxiety disorder, OCD, etc.). 

      Strengths: 

      (1) Simplicity of the model which can at the same time model rather complex environments. 

      (2) Introduction of a flexible omega parameter. 

      (3) Direct application to a rather advanced VR task. 

      (4) The paper is extremely well written. It was a joy to read. 

      Weaknesses: 

      Almost none! In very few cases, the explanations could be a bit better. 

      Thank you, we have added further explanations in the discussion section. We have further improved the writing in abstract, introduction and Methods section taking into account recommendations from reviewer #2 and #3.

      Reviewer #2 (Recommendations for the authors): 

      (1) Why is there no flexible omega in Figures 3B and 3C? Did I miss this? 

      Thank you. We have now added additional text to explain our motivation in Experiment 2, which only varies the fixed omega and omits the flexible omega (Lines 136-140).

      “In this set of results, we wish to qualitatively tease apart the role of a Pavlovian bias in shaping and sculpting the instrumental value and also provide more insight into the resulting safety-efficiency trade-off. Having shown the benefits of a flexible ω in the previous section, here we only vary the fixed ω to illustrate the effect of a constant bias and are not concerned with the flexible bias in this experiment.”

      We encourage the reader to consider this akin to an additional study that will explain how Pavlovian bias to withdraw can play a role in avoiding punishments similar to that of punishment sensitivity. This is particularly important as we do have neural correlates for Pavlovian biases but lack a clear neural correlation for punishment sensitivity so far, as mentioned in our new additions to the Discussion section (Lines 303-313).

      (2) The introduction of the flexible omega and the PAL agent in the results is a bit sudden. Some more details are needed to understand this during the first read of this passage. 

      We thank reviewer #2 for bringing this to our notice. We have attempted to refine our passage by including sentences like - 

      “The standard (rational) reinforcement learning system is modelled as the instrumental learning system. The additional Pavlovian fear system biases the withdrawal actions to aid in safe exploration, in line with our hypothesis.”

      “Both systems learn using a basic temporal difference updating rule (or in instances, its special case, the Rescorla-Wagner rule)”

      “We implement the flexible ω using Pearce-Hall associability (see equation 15 in Methods). The Pearce-Hall associability maintains a running average of absolute temporal difference errors (δ) as per equation 14. This acts as a crude but easy-to-compute metric for outcome uncertainty which gates the influence of the Pavlovian fear system, in line with our hypothesis. This implies that higher the outcome uncertainty, as is the case in early exploration, the more cautious our agent will be, resulting in safer exploration”

      (3) In my view, the possibility of modeling moving predators is extremely interesting. I would include Figure 8D and the corresponding explanation in the main text. 

      Response with revision: We thank the reviewer for finding our simulation on moving predators extremely interesting. Unfortunately, since our instrumental system is not model-based, and especially is not explicitly modelling the predator dynamics, our simulation might not be a very accurate representation of real moving predator environments. As pointed out by Reviewer #1, perhaps several other systems other than Pavlovian fear responses are necessary for safe behaviour in such environments and we hope to address these in future studies. Thanks again for taking an interest in our simulations.

      (4) The VR experiment should be mentioned more clearly in the abstract and the introduction. It should be mentioned a bit more clearly why VR was helpful and why the authors did not use a simple bird's eye grid world task. 

      I cannot assess the RLDDM and I did not check the code. 

      Thank you, we have now mentioned the VR experiment more clearly in the abstract and the introduction. We also now further mention that the VR experiment “builds upon previous Go-No Go studies studying Pavlovian-Instrumental transfer (Guitart-Masip et al, 2012; Cavanagh et al, 2013). The virtual-reality approach confers a greater ecological validity and the immersive nature may contribute better fear conditioning, making it easier to distinguish the aversive components.”

      A bird’s eye grid world may not invoke a strong withdrawal response, as seen in these immersive approach-withdrawal tasks where we can clearly distinguish a Pavlovian fear-based withdrawal response. We did include immersive VR maze results in the supplementary materials, but future work is needed to isolate the different systems at play in such a complex behaviour.

      Reviewer #3 (Public review): 

      Summary: 

      This paper aims to address the problem of exploring potentially rewarding environments that contain the danger, based on the assumption that an independent Pavlovian fear learning system can help guide an agent during exploratory behaviour such that it avoids severe danger. This is important given that otherwise later gains seem to outweigh early threats, and agents may end up putting themselves in danger when it is advisable not to do so. 

      The authors develop a computational model of exploratory behaviour that accounts for both instrumental and Pavlovian influences, combining the two according to uncertainty in the rewards. The result is that Pavlovian avoidance has a greater influence when the agent is uncertain about rewards. 

      Strengths: 

      The study does a thorough job of testing this model using both simulations and data from human participants performing an avoidance task. Simulations demonstrate that the model can produce "safe" behaviour, where the agent may not necessarily achieve the highest possible reward but ensures that losses are limited. Interestingly, the model appears to describe human avoidance behaviour in a task that tests for Pavlovian avoidance influences better than a model that doesn't adapt the balance between Pavlovian and instrumental based on uncertainty. The methods are robust, and generally, there is little to criticise about the study. 

      Weaknesses: 

      The extent of the testing in human participants is fairly limited but goes far enough to demonstrate that the model can account for human behaviour in an exemplar task. There are, however, some elements of the model that are unrealistic (for example, the fact that pre-training is required to select actions with a Pavlovian bias would require the agent to explore the environment initially and encounter a vast amount of danger in order to learn how to avoid the danger later). The description of the models is also a little difficult to parse. 

      Thank you, we have now attempted to clarify these points in the Discussion section by adding the following text (Lines 313-321):

      “ We next discuss the plausibility of pre-training to select the hardwired actions In the human experiment, the withdrawal action is straightforwardly biased, as noted, while in the grid world, we assume a hardwired encoding of withdrawal actions for each state/grid. This innate encoding of withdrawal actions could be represented in the dPAG [Kim et al., 2013]. We implement this bias using pre-training, which we assume would be a product of evolution. Alternatively, this could be interpreted as deriving from an appropriate value initialization where the gradient over initialized values determines the action bias. Such aversive value initialization, driving avoidance of novel and threatening stimuli, has been observed in the tail of the striatum in mice, which is hypothesised to function as a Pavlovian fear/threat learning system [Menegas et al., 2018].”

      Reviewer #3 (Recommendations for the authors): 

      I have relatively little to suggest, as in my view the paper is robust, thorough, and creative, and does enough to support the primary argument being made at the most fundamental level. My suggestions for improvement are as follows: 

      (1) Some aspects of the model are potentially unrealistic (as described in the public review), and the paper may benefit from some discussion of these issues or attempts to make the model more realistic - i.e., to what extent is this plausible in explaining more complex avoidance behaviour? Primarily, the fact that pre-training is required to identify actions subject to Pavlovian bias seems unlikely to be effective in real-world situations - is there a better way to achieve this in cases where there isn't necessarily an instinctual Pavlovian response? 

      Thank you, we agree that the advantage of Pavlovian bias is restricted to the bias/instinctual Pavlovian response conferred by evolution. Future work is needed to model more complex avoidance behaviour such as escapes. We hope to have made this more clear with our edits to the Discussion (Lines 299-302) in our response to Reviewer #1’s comments, specifically:

      “The main focus of our work is on Pavlovian fear bias in safe exploration and learning, rather than on its role in complex navigational decisions. Future work can focus on capturing more sophisticated safe behaviours, such as escapes [Evans et al., 2019, Sporrer et. al., 2023] and model-based planning which span different aspects of the threat-imminence continuum [Mobbs et al., 2020]”  

      (2) The description of the model in the method can be a little hard to follow and would benefit from further explanation of certain parameters. In general, it would be good to ensure that all terms mentioned in equations are described clearly in the text (for example, in Equation1 it isn't clear what k refers to). 

      Thank you, we have now added further information on all of the parameters in Equation 1 and overall improved the Methods section writing, for instance using time subscript for less confusion while introducing the parameters. We use the standard notation used in Sutton and Barto textbook. k refers to the timesteps into the future, and is now explained better in the Methods section.

      (3) Another point of clarification in Equation 1 - does the policy account for the Pavlovian influence or is this purely instrumental? 

      Thank you, Equation 1 is purely instrumental. We have now specifically mentioned this. The Pavlovian influence follows later. They are combined into propensities for action as per equations 11-13.

      (4) I was curious whether similar outcomes could be achieved by more complex instrumental models without the need for Pavlovian influences. For example, could different risk-sensitive decision rules (e.g., conditional value at risk) that rely only on the instrumental system afford safe behaviour without the need for an additional Pavlovian system? 

      Thank you for your comment. Yes, CVaR can achieve safe exploration/cautious behaviour in choices similar to Pavlovian avoidance learning. But we think both differ in the following ways:

      (1) CVaR provides the correct solution to the wrong problem (objective that only maximises the lower tail of the distribution of outcomes)

      (2) Pavlovian bias provides the wrong solution to the right problem (normative objective, but a Pavlovian bias which may be vestige of evolution)

      Here we use the “wrong problem, wrong solution, wrong environment” categorisation terminology from Huys et al. 2015.

      Huys, Q. J., Guitart-Masip, M., Dolan, R. J., & Dayan, P. (2015). Decision-theoretic psychiatry. Clinical Psychological Science, 3(3), 400-421.

      Secondly, we find an effect of Pavlovian bias on reaction times - slowing down of approach responses and faster withdrawal responses. We do not think this can be best explained in a CVaR type model and is a direction for future work. We think such model-based methods are slower to compute, but Pavlovian withdrawal bias is quicker response.

      We have now included this in brief in Lines 280-288.

      (5) Figure 5 would benefit from a clearer caption as it is not necessarily clear from the current one that the left panels refer to choices and the right panels to reaction times. 

      Thank you, we have improved the caption for Fig. 5.

      (6) It would be good to include some indication of the quality of the model fits for the human behavioural study (i.e., diagnostics such as R-hat) to ensure that differences in model fit between models are not due to convergence issues with different models. This would be especially helpful for the RLDDM models as these can be difficult to fit successfully.

      Thank you, we observed that all Rhat values were strictly less than 1.05 (most parameters were less than 1.01 and generally close to 1), indicating that the models converged. We have now added this line to the results (Line 246-248). Thanks to the reviewer’s comments, we have now added the following text to our Discussion section (Lines 290-302): “When it comes to our experiments, both the simulation and VR experiment models are related and derived from the same theoretical framework maintaining an algebraic mapping. They differ only in task-specific adaptations i.e. differ in action sets and differ in temporal difference learning rules - multi-step decisions in the grid world vs. Rescorla-Wagner rule for single-step decisions in the VR task. This is also true for Dayan et al. [2006] who bridge Pavlovian bias in a Go-No Go task (negative auto-maintenance pecking task) and a grid world task. A further minor difference between the simulation and VR experiment models is the use of a baseline bias in the human experiment's RL and the RLDDM model, where we also model reaction times with drift rates which is not a behaviour often simulated in the grid world simulations. As mentioned previously, we use the grid world tasks for didactic purposes, similar to Dayan et al. [2006] and common to test-beds for algorithms in reinforcement learning [Sutton et al., 1998]. The main focus of our work is on Pavlovian fear bias in safe exploration and learning, rather than on its role in complex navigational decisions. Future work can focus on capturing more sophisticated safe behaviours, such as escapes [Evans et al., 2019, Sporrer et. al., 2023] and model-based planning, which span different aspects of the threat-imminence continuum [Mobbs et al., 2020].” In the first setup, they simulate a model in which a component they label as Pavlovian learns about punishment in each grid block, whereas a Q-learner learns about the optimal path to the goal, using a scalar loss function for rewards and punishments. Pavlovian and Q-learning components are then weighed at each step to produce an action. Unsurprisingly, the authors find that including the Pavlovian component in the model reduces the cumulative punishment incurred, and this increases as the weight of the Pavlovian system increases. The paper does not explore to what extent increasing the punishment loss (while keeping reward loss constant) would lead to the same outcomes with a simpler model architecture, so any claim that the Pavlovian component is required for such a result is not justified by the modelling.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      In this manuscript, Azlan et al. identified a novel maternal factor called Sakura that is required for proper oogenesis in Drosophila. They showed that Sakura is specifically expressed in the female germline cells. Consistent with its expression pattern, Sakura functioned autonomously in germline cells to ensure proper oogenesis. In Sakura KO flies, germline cells were lost during early oogenesis and often became tumorous before degenerating by apoptosis. In these tumorous germ cells, piRNA production was defective and many transposons were derepressed. Interestingly, Smad signaling, a critical signaling pathway for GSC maintenance, was abolished in sakura KO germline stem cells, resulting in ectopic expression of Bam in whole germline cells in the tumorous germline. A recent study reported that Bam acts together with the deubiquitinase Otu to stabilize Cyc A. In the absence of sakura, Cyc A was upregulated in tumorous germline cells in the germarium. Furthermore, the authors showed that Sakura co-immunoprecipitated Otu in ovarian extracts. A series of in vitro assays suggested that the Otu (1-339 aa) and Sakura (1-49 aa) are sufficient for their direct interaction. Finally, the authors demonstrated that the loss of otu phenocopies the loss of sakura, supporting their idea that Sakura plays a role in germ cell maintenance and differentiation through interaction with Otu during oogenesis.

      Strengths:

      To my knowledge, this is the first characterization of the role of CG14545 genes. Each experiment seems to be well-designed and adequately controlled.

      Weaknesses:

      However, the conclusions from each experiment are somewhat separate, and the functional relationships between Sakura's functions are not well established. In other words, although the loss of Sakura in the germline causes pleiotropic effects, the cause-and-effect relationships between the individual defects remain unclear.

      Reviewer #2 (Public review):

      In this study, the authors identified CG14545 (and named it Sakura), as a key gene essential for Drosophila oogenesis. Genetic analyses revealed that Sakura is vital for both oogenesis progression and ultimate female fertility, playing a central role in the renewal and differentiation of germ stem cells (GSC).

      The absence of Sakura disrupts the Dpp/BMP signaling pathway, resulting in abnormal bam gene expression, which impairs GSC differentiation and leads to GSC loss. Additionally, Sakura is critical for maintaining normal levels of piRNAs. Also, the authors convincingly demonstrate that Sakura physically interacts with Otu, identifying the specific domains necessary for this interaction, suggesting a cooperative role in germline regulation. Importantly, the loss of otu produces similar defects to those observed in Sakura mutants, highlighting their functional collaboration.

      The authors provide compelling evidence that Sakura is a critical regulator of germ cell fate, maintenance, and differentiation in Drosophila. This regulatory role is mediated through the modulation of pMad and Bam expression. However, the phenotypes observed in the germarium appear to stem from reduced pMad levels, which subsequently trigger premature and ectopic expression of Bam. This aberrant Bam expression could lead to increased CycA levels and altered transcriptional regulation, impacting piRNA expression. Given Sakura's role in pMad expression, it would be insightful to investigate whether overexpression of Mad or pMad could mitigate these phenotypic defects (UAS-Mad line is available at Bloomington Drosophila Stock Center).

      As suggested reviewer 1, we tested whether overexpression of Mad could rescue or mitigate the loss of sakura phenotypic defects, by using nos-Gal4-VP16 > UASp-Mad-GFP in the background of sakura<sup>null</sup>. As shown in Fig S11, we did not observe any mitigation of defects.

      Then, we also tested whether expressing a constitutive active form of Tkv, by using UAS-Dcr2, NGT-Gal4 > UASp-tkv.Q235D in the background of sakura<sup>RNAi</sup>. As shown in Fig S12, we did not observe any mitigation of defects by this approach either.

      A major concern is the overstated role of Sakura in regulating Orb. The data does not reveal mislocalized Orb; rather, a mislocalized oocyte and cytoskeletal breakdown, which may be secondary consequences of defects in oocyte polarity and structure rather than direct misregulation of Orb. The conclusion that Sakura is necessary for Orb localization is not supported by the data. Orb still localizes to the oocyte until about stage 6. In the later stage, it looks like the cytoskeleton is broken down and the oocyte is not positioned properly, however, there is still Orb localization in the ~8-stage egg chamber in the oocyte. This phenotype points towards a defect in the transport of Orb and possibly all other factors that need to localize to the oocyte due to cytoskeletal breakdown, not Orb regulation directly. While this result is very interesting it needs further evaluation on the underlying mechanism. For example, the decrease in E-cadherin levels leads to a similar phenotype and Bam is known to regulate E-cadherin expression. Is Bam expressed in these later knockdowns?

      We examined Bam and DE-Cadherin expression in later RNAi knockdowns driven by ToskGal4. As shown in Fig S9, Bam was not expressed in these later knockdowns compared with controls. DE-Cadherin staining suggested a disorganized structure in late-stage egg chambers.

      We agree that we overstated a role of Sakura in regulating Orb in the initial manuscript. We changed the text to avoid overstating.

      The manuscript would benefit from a more balanced interpretation of the data concerning Sakura's role in Orb regulation. Furthermore, a more expanded discussion on Sakura's potential role in pMad regulation is needed. For example, since Otu and Bam are involved in translational regulation, do the authors think that Mad is not translated and therefore it is the reason for less pMad? Currently the discussion presents just a summary of the results and not an extension of possible interpretation discussed in context of present literature.

      We changed the text to avoid overstating a role of Sakura in regulating Orb localization.

      Based on our newly added results showing that transgenic overexpression of Mad could not rescue or mitigate the phenotypic defects of sakura<sup>null</sup> mutant (Fig S11), we do not think the reason for less pMad is less translation of Mad.

      Reviewer #3 (Public review):

      In this very thorough study, the authors characterize the function of a novel Drosophila gene, which they name Sakura. They start with the observation that sakura expression is predicted to be highly enriched in the ovary and they generate an anti-sakura antibody, a line with a GFP-tagged sakura transgene, and a sakura null allele to investigate sakura localization and function directly. They confirm the prediction that it is primarily expressed in the ovary and, specifically, that it is expressed in germ cells, and find that about 2/3 of the mutants lack germ cells completely and the remaining have tumorous ovaries. Further investigation reveals that Sakura is required for piRNA-mediated repression of transposons in germ cells. They also find evidence that sakura is important for germ cell specification during development and germline stem cell maintenance during adulthood. However, despite the role of sakura in maintaining germline stem cells, they find that sakura mutant germ cells also fail to differentiate properly such that mutant germline stem cell clones have an increased number of "GSC-like" cells. They attribute this phenotype to a failure in the repression of Bam by dpp signaling. Lastly, they demonstrate that sakura physically interacts with otu and that sakura and otu mutants have similar germ cell phenotypes. Overall, this study helps to advance the field by providing a characterization of a novel gene that is required for oogenesis. The data are generally high-quality and the new lines and reagents they generated will be useful for the field. However, there are some weaknesses and I would recommend that they address the comments in the Recommendations for the authors section below.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      General Comments:

      (1) The gene nomenclature: As mentioned in the text, Sakura means cherry blossom and is one of the national flowers of Japan. I am not sure whether the phenotype of the CG14545 mutant is related to Sakura or not. I would like to suggest the authors reconsider the naming.

      The striking phenotype of sakura mutant­ is tumorous and germless ovarioles. The tumorous phenotype, exhibiting lots of round fusome in germarium visualized by anti-Hts staining, looks like cherry blossom blooming to us. Also, the germless phenotype reminds us falling of the cherry blossom, especially considering that the ratio of tumorous phenotype decreases and that of germless decreases over fly age. Furthermore, “Sakura” symbolizes birth and renewal in Japanese culture (the last author of this manuscript is Japanese). Our findings indicated that the gene sakura is involved in regulation of renewal and differentiation of GSCs (which leads to birth). These are the reasons for the naming, which we would like to keep.

      (2) In many of the microscopic photographs in the figures, especially for the merged confocal images, the resolution looks low, and the images appear blurred, making it difficult to judge the authors' claims. Also, the Alpha Fold structure in Figure 10A requires higher contrast images. The magnification of the images is often inadequate (e.g. Figures 3A, 3B, 5E, 7A, etc). The authors should take high-magnification images separately for the germarium and several different stages of the egg chambers and lay out the figures.

      We are very sorry for the low-resolution images. This was caused when the original PDF file with high-resolution images was compressed in order to meet the small file size limit in the eLife submission portal. In the revised submission, we used high-resolution images.

      Specific Comments

      (1) How Sakura can cooperate with Otu remains unanswered. Sakura does not regulate deubiquitinase activity in vitro. Both sakura and otu appear to be involved in the Dpp-Smad signaling pathway and in the spatial control of Bam expression in the germarium, whereas Otu has been reported to act in concert with Bam to deubiquitinate and stabilize Cyc A for proper cystoblast differentiation. Therefore, it is plausible that the stabilization of Cyc A in the Sakura mutant is an indirect consequence of Bam misexpression and independent of the Sakura-Otu interaction. The authors may need to provide much deeper insight into the mechanism by which Sakura plays roles in these seemingly separable steps to orchestrate germ cell maintenance and differentiation during early oogenesis.

      Yes, it is possible that the stabilization of CycA in the sakura mutant is an indirect consequence of Bam misexpression and independent of the Sakura-Otu interaction. To test the significance and role of the Sakura-Otu interaction, we have attempted to identify Sakura point mutants that lose interaction with Otu. If such point mutants were successfully obtained, we were planning to test if their transgene expression could rescue the phenotypes of sakura mutant as the wild-type transgene did. However, after designing and testing the interaction of over 30 point mutants with Otu, we could not obtain such mutant version of Sakura yet. We will continue making efforts, but it is beyond the scope of the current study. We hope to address this important point in future studies.

      (2) Figure 3A and Figure 4: The authors show that piRNA production is abolished in Sakura KO ovaries. It is known that piRNA amplification (the ping-pong cycle) occurs in the Vasa-positive perinuclear nuage in nurse cells. Is the nuage normally formed in the absence of Sakura? The authors provide high-magnification images in the germarium expressing Vas-GFP. How does Sakura, and possibly Out, contribute to piRNA production? Are the defects a direct or indirect consequence of the loss of Sakura?

      We provided higher magnification images of germarium expressing Vasa-EGFP in sakura mutant background (Fig 3A and 3B). The nuage formation does not seem to be dysregulated in sakura mutant. Currently, we do not know if the piRNA defects are direct or indirect consequence of the loss of Sakura. This question cannot be answered easily. We hope to address this in future studies.

      (3) Figure 7 and Figure 12: The authors showed that Dpp-Smad signaling was abolished in Sakura KO germline cells. The same defects were also observed in otu mutant ovaries (Figure 12B). How does the Sakura-Otu axis contribute to the Dpp-Smad pathway in the germline?

      As we mentioned in the response to comment (1), we attempted to test the significance and role of the Sakura-Otu interaction, including in the Dpp-Smad pathway in the germline, but we have not yet been able to obtain loss-of-interaction mutant(s) of Sakura. We hope to address this in future studies.

      (4) Figure 9 and Fig 10: The authors raised antibodies against both Sakura and Otu, but their specificities were not provided. For Western blot data, the authors should provide whole gel images as source data files. Also, the authors argue that the Otu band they observed corresponds to the 98-kDa isoform (lines 302-304). The molecular weight on the Western blot alone would be insufficient to support this argument.

      When we submitted the initial manuscript, we also submitted original, uncropped, and unmodified whole Western blot images for all gel images to the eLife journal, as requested. We did the same for this revised submission. I believe eLife makes all those files available for downloading to readers.

      In the newly added Fig S13B, we used very young 2-5 hours ovaries and 3-7 days ovaries. 2-5 days ovaries contain only mostly pre-differentiated germ cells. Older ovaries (3-7 days in our case here) contain all 14 stages of oogenesis and later stages predominate in whole ovary lysates.

      As reported in previous literature (Sass et al. 1995), we detected a higher abundance of the 104 kDa Otu isoform than the 98 kDa isoform in from 2-5 hours ovaries and predominantly the 98 kDa isoform in 3-7 days ovaries (Fig S13B). These results confirmed that the major Otu isoform we detected in Western blot, all of which uses old ovaries except for the 2-5 hours ovaries in Fig S13B, is the 98 kDa isoform.

      (5) Otu has been reported to regulate ovo and Sxl in the female germline. Is Sakura involved in their regulation?

      We examined sxl alternative splicing pattern in sakura mutant ovaries. As shown in Fig S6, we detected the male-specific isoform of sxl RNA and a reduced level of the female-specific sxl isoform in sakura mutant ovaries. Thus Sakura seems to be involved in sxl splicing in the female germline, while further studies will be needed to understand whether Sakura has a direct or indirect role here.

      (6) Lines 443-447: The GSC loss phenotype in piwi mutant ovaries is thought to occur in a somatic cell-autonomous manner: both piwi-mutant germline clones and germline-specific piwi knockdown do not show the GSC-loss phenotype. In contrast, the authors provide compelling evidence that Sakura functions in the germline. Therefore, the Piwi-mediated GSC maintenance pathway is likely to be independent of the Sakura-Otu axis.

      We changed the text accordingly.

      Reviewer #2 (Recommendations for the authors):

      Overall, this is a cleanly written manuscript, with some sentences/sections that are confusing the way they are constructed (i.e. Line 37-38, 334, section on Flp/FRT experiments).

      We rewrote those sections to avoid confusion.

      Comment for all merged image data: the quality of the merged images is very poor - the individual channels are better but should also be reprocessed for more resolved image data sets. Also, it would be helpful to have boundaries drawn in an individual panel to identify the regions of the germarium, as cartooned in Figure S1A (which should be brought into Figure 1) F-actin or Vsg staining would have helped throughout the manuscript to enhance the visualization of described phenotypes.

      We are very sorry for the low-resolution images. This was caused when the original PDF file with high-resolution images was compressed in order to meet the small file size limit in the eLife submission portal. In the revised submission, we used high-resolution images.

      We outlined the germarium in Fig 1E.

      We brought the former FigS1 into Fig 1A.

      We provided Phalloidin (F-Actin) staining images in Fig S7.

      All p-values seem off. I recommend running the data through the student t-test again.

      We used the student t-test to calculate p-values and confirmed that they are correct. We don’t understand why the reviewer thinks all p-values seem off.

      In the original manuscript, as we mentioned in each figure legends, we used asterisk (*) to indicate p-value <0.05, without distinguishing whether it’s <0.001, <0.01< or <0.05.

      Probably reviewer 2 is suggesting us to use ***, **, and *, to indicate p-value of <0.001, <0.01, and <0.05, respectively? If so, we now followed reviewer2’s suggestions.

      Figure 1

      (1) Within the text, C is mentioned before A.

      We updated the text and now we mentioned Fig 1A before Fig 1C.

      (2) B should be the supplemental figure.

      We moved the former Fig 1B to Supplemental Figure 1.

      (3) C - How were the different egg chamber stages selected in the WB? Naming them 'oocytes' is deceiving. Recommend labeling them as 'egg chambers', since an oocyte is claimed to be just the one-cell of that cyst.

      We changed the labeling to egg chambers.

      (4) Is the antibody not detecting Sakura in IF? There is no mention of this anywhere in the manuscript.

      While our Sakura antibody detects Sakura in IF, it seems to detect some other proteins as well. Since we have Sakura-EGFP fly strain (which fully rescues sakura<sup>null</sup> phenotypes) to examine Sakura expression and localization without such non-specific signal issues, we relied on Sakura-EGFP rather than anti-Sakura antibodies for IF.

      (5) Expand on the reliance of the sakura-EGFP fly line. Does this overexpression cause any phenotypes?

      sakura-EGFP does not cause any phenotypes in the background of sakura[+/+] and sakura[+/-].

      (6) Line 95 "as shown below" is not clear that it's referencing panel D.

      We now referenced Fig 1D.

      (7) Re: Figures 1 E and F. There is no mention of Hts or Vasa proteins in the text.<br /> "Sakura-EGFP was not expressed in somatic cells such as terminal filament, cap cells, escort cells, or follicle cells (Figure 1E). In the egg chamber, Sakura-EGFP was detected in the cytoplasm of nurse cells and was enriched in developing oocytes (Figure 1F)". Outline these areas or label these structures/sites in the images. The color of Merge labels is confusing as the blue is not easily seen.

      We mentioned Hts and Vasa in the text. We labeled the structures/sites in the images and updated the color labeling.

      Figure 2

      (1) Entire figure is not essential to be a main figure, but rather supplemental.

      We don’t agree with the reviewer. We think that the female fertility assay data, where sakura null mutant exhibits strikingly strong phenotype, which was completely rescued by our Sakura-EGFP transgene, is very important data and we would like to present them in a main figure.

      (2) 2A- one star (*) significance does not seem correct for the presented values between 0 and 100+.

      In the original manuscript, as we mentioned in each figure legends, we used asterisk (*) to indicate p-value <0.05, without distinguishing whether it’s <0.001, <0.01< or <0.05.

      Probably reviewer 2 is suggesting us to use ***, **, and *, to indicate p-value of <0.001, <0.01, and <0.05, respectively? If so, we now followed reviewer2’s suggestions.

      (3) 2C images are extremely low quality. Should be presented as bigger panels.

      We are very sorry for the low-resolution images. This was caused when the original PDF file with high-resolution images was compressed in order to meet the small file size limit in the eLife submission portal. In the revised submission, we used high-resolution images. We also presented as bigger panels.

      Figure 3

      (1) "We observed that some sakura<sup>null</sup> /null ovarioles were devoid of germ cells ("germless"), while others retained germ cells (Fig 3A)" What is described is, that it is hard to see. Must have a zoomed-in panel.

      We provided zoomed-in panels in Fig 3B

      (2) C - The control doesn't seem to match. Must zoom in.

      We provided matched control and also zoomed in.

      (3) For clarity, separate the tumorous and germless images.

      In the new image, only one tumorous and one germless ovarioles are shown with clear labeling and outline, for clarity.

      (4) Use arrows to help clearly indicate the changes that occur. As they are presented, they are difficult to see.

      We updated all the panels to enhance clarity.

      (5) Line 158 seems like a strong statement since it could be indirect.

      We softened the statement.

      Figure 4

      (1) Line 188-189 - Conclusion is an overstatement.

      We softened the statement.

      (2) Is the piRNA reduction due to a change in transcription? Or a direct effect by Sakura?

      We do not know the answers to these questions. We hope to address these in future studies.

      Figure 5

      (1) D - It might make more sense if this graph showed % instead of the numbers.

      We did not understand the reviewer’s point. We think using numbers, not %, makes more sense.

      (2) Line 213 - explain why RNAi 2 was chosen when RNAi 1 looks stronger.

      Fly stock of RNAi line 2 is much healthier than RNAi line 1 (without being driven Gal4) for some reasons. We had a concern that the RNAi line 1 might contain an unwanted genetic background. We chose to use the RNAi 2 line to avoid such an issue.

      (3) In Line 218 there's an extra parenthesis after the PGC acronym.

      We corrected the error.

      (4) TOsk-Gal4 fly is not in the Methods section.

      We mentioned TOsk-Gal4 in the Methods.

      Figure 6:

      (1) The FLP-FRT section must be rewritten.

      We rewrote the FLP-FRT section.

      (2) A - include statistics.

      We included statistics using the chi-square test.

      (3) B - is not recalled in the Results text.

      We referred Fig 6B in the text.

      (4) Line 232 references Figure 3, but not a specific panel.

      We referred Fig 3A, 3C, 3D, and 3E, in the text.

      Figure 7/8 - can go to Supplemental.

      We moved Fig 8 to supplemental. However, we think Fig 7 data is important and therefore we would like to present them as a main figure.

      (1) There should be CycA expression in the control during the first 4 divisions.

      Yes, there is CycA expression observed in the control during the first 4 divisions, while it’s much weaker than in sakura<sup>null</sup> clone.

      (2) Helpful to add the dotted lines to delineate (A) as well.

      We added a dotted outline for germarium in Fig 7A.

      (3) Line 263 CycA is miswritten as CyA.

      We corrected the typo.

      Figure 9

      (1) Otu antibody control?

      We validated Otu antibody in newly added Fig 10C and Fig S13A.

      (2) Which Sakura-EGFP line was used? sakura het. or null background? This isn't mentioned in the text, nor legend.

      We used Sakura-EGFP in the background of sakura[+/+]. We added this information in the methods and figure legend.

      (3) C - Why the switch to S2 cells? Not able to use the Otu antibody in the IP of ovaries?

      We can use the Otu antibody in the IP of ovaries. However, in anti-Sakura Western after anti-Otu IP, antibody light chain bands of the Otu antibodies overlap with the Sakura band. Therefore, we switched to S2 cells to avoid this issue by using an epitope tag.

      Figure 10

      (1) A- The resolution of images of the ribbon protein structure is poor.

      We are very sorry for the low-resolution images. This was caused when the original PDF file with high-resolution images was compressed in order to meet the small file size limit in the eLife submission portal. In the revised submission, we used high-resolution images.

      (2) A table summarizing the interactions between domains would help bring clarity to the data presented.

      We added a table summarizing the fragment interaction results.

      (3) Some images would be nice here to show that the truncations no longer colocalize.

      We did not understand the reviewer’s points. In our study, even for the full-length proteins.

      We have not shown any colocalization of Sakura and Otu in S2 cells or in ovaries, except that they both are enriched in developing oocytes in egg chambers.

      Figure 12

      (1) A - control and RNAi lines do not match.

      We provided matched images.

      (2) In general, since for Sakura, only its binding to Otu was identified and since they phenocopy each other, doesn't most of the characterization of Sakura just look at Otu phenotypes? Does Sakura knockdown affect Otu localization or expression level (and vice versa)?

      We tested this by Western (Fig S15) and IF (Fig 12). Sakura knockdown did not decrease Otu protein level, and Otu knockdown did not decrease Sakura protein level (Fig S15). In sakura<sup>null</sup> clone, Otu level was not notably affected (Fig 12). In sakura<sup>null</sup> clone, Otu lost its localization to the posterior position within egg chambers.

      Figure S6

      (1) It is Luciferase, not Lucifarase.

      We corrected the typo.

      Reviewer #3 (Recommendations for the authors):

      (1) It is interesting that germless and tumorous phenotypes coexist in the same population of flies. Additional consideration of these essentially opposite phenotypes would significantly strengthen the study. For example, do they co-exist within the same fly and are the tumorous ovarioles present in newly eclosed flies or do they develop with age? The data in Figure 8 show that bam knockdown partially suppresses the germless phenotype. What effect does it have on the tumorous phenotype? Is transposon expression involved in either phenotype? Do Sakura mutant germline stem cell clones overgrow relative to wild-type cells in the same ovariole? Does sakura RNAi driven by NGT-Gal4 only cause germless ovaries or does it also cause tumorous phenotypes? What happens if the knockdown of Sakura is restricted to adulthood with a Gal80ts? It may not be necessary to answer all of these questions, but more insight into how these two phenotypes can be caused by loss of sakura would be helpful.

      We performed new experiments to answer these questions.

      do they co-exist within the same fly and are the tumorous ovarioles present in newly eclosed flies or do they develop with age?

      Tumorous and germless ovarioles coexist in the same fly (in the same ovary). Tumorous ovarioles are present in very young (0-1 day old) flies, including newly eclosed (Fig S5). The ratio of germless ovarioles increases and that of tumorous ovarioles decreases with age (Fig S5).

      The data in Figure 8 show that bam knockdown partially suppresses the germless phenotype. What effect does it have on the tumorous phenotype?

      bam knockdown effect on tumorous phenotype is shown in Fig S10. bam knockdown increased the ratio of tumorous ovarioles and the number of GSC-like cells.

      Is transposon expression involved in either phenotype?

      Since our transposon-piRNA reporter uses germline-specific nos promoter, it is expressed only in germ line cells, so we cannot examine in germless ovarioles.

      Do Sakura mutant germline stem cell clones overgrow relative to wild-type cells in the same ovariole?

      Yes, Sakura mutant GSC clones overgrow. Please compare Fig 6C and Fig S8.

      Does sakura RNAi driven by NGT-Gal4 only cause germless ovaries or does it also cause tumorous phenotypes?

      Fig S10 and Fig S12 show the ovariole phenotypes of sakura RNAi driven by NGT-Gal4. It causes both germless and tumorous phenotypes.

      What happens if the knockdown of Sakura is restricted to adulthood with a Gal80ts?

      Our mosaic clone was induced at the adult stage, so we already have data of adulthood-specific loss of function. Gal80ts does not work well with nos-Gal4.

      (2) The idea that the excessive bam expression in tumorous ovaries is due to a failure of bam repression by dpp signaling is not well-supported by the data. Dpp signaling is activated in a very narrow region immediately adjacent to the niche but the images in Figure 7A show bam expression in cells that are very far away from the niche. Thus, it seems more likely to be due to a failure to turn bam expression off at the 16-cell stage than to a failure to keep it off in the niche region. To determine whether bam repression in the niche region is impaired, it would be important to examine cells adjacent to the niche directly at a higher magnification than is shown in Figure 7A.

      We provided higher magnification images of cells adjacent to the niche in new Fig 7A.

      We found that cells adjacent to the niche also express Bam-GFP.

      That said, we agree with the reviewer. A failure to turn bam expression off at the 16-cell stage may be an additional or even a main cause of bam misexpression in sakura mutant. We added this in the Discussion.

      (3) In addition, several minor comments should be addressed:

      a. Does anti-Sakura work for immunofluorescence?

      While our Sakura antibody detects Sakura in IF, it seems to detect some other proteins as well. Since we have Sakura-EGFP fly strain to examine Sakura expression and localization without such non-specific signal issues, we relied on Sakura-EGFP rather than anti-Sakura antibodies.

      b. Please provide insets to show the phenotypes indicated by the different color stars in Figure 3C more clearly.

      We provided new, higher-magnification images to show the phenotypes more clearly.

      c. Please indicate the frequency of the expression patterns shown in Figure 4D (do all ovarioles in each genotype show those patterns or is there variable penetrance?).

      We indicated the frequency.

      d. An image showing TOskGal4 driving a fluorophore should be provided so that readers can see which cells express Gal4 with this driver combination.

      It has been already done in the paper ElMaghraby et al, GENETICS, 2022, 220(1), iyab179, so we did not repeat the same experiment.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      Mallimadugula et al. combined Molecular Dynamics (MD) simulations, thiol-labeling experiments, and RNA-binding assays to study and compare the RNA-binding behavior of the Interferon Inhibitory Domain (IID) from Viral Protein 35 (VP35) of Zaire ebolavirus, Reston ebolavirus, and Marburg marburgvirus. Although the structures and sequences of these viruses are similar, the authors suggest that differences in RNA binding stem from variations in their intrinsic dynamics, particularly the opening of a cryptic pocket. More precisely, the dynamics of this pocket may influence whether the IID binds to RNA blunt ends or the RNA backbone.

      Overall, the authors present important findings to reveal how the intrinsic dynamics of proteins can influence their binding to molecules and, hence, their functions. They have used extensive biased simulations to characterize the opening of a pocket which was not clearly seen in experimental results - at least when the proteins were in their unbound forms. Biochemical assays further validated theoretical results and linked them to RNA binding modes. Thus, with the combination of biochemical assays and state-of-the-art Molecular Dynamics simulations, these results are clearly compelling.

      Strengths:

      The use of extensive Adaptive Sampling combined with biochemical assays clearly points to the opening of the Interferon Inhibitory Domain (IID) as a factor for RNA binding. This type of approach is especially useful to assess how protein dynamics can affect its function.

      Weaknesses:

      Although a connection between the cryptic pocket dynamics and RNA binding mode is proposed, the precise molecular mechanism linking pocket opening to RNA binding still remains unclear.

      Reviewer #2 (Public review):

      Summary:

      The authors aimed to determine whether a cryptic pocket in the VP35 protein of Zaire ebolavirus has a functional role in RNA binding and, by extension, in immune evasion. They sought to address whether this pocket could be an effective therapeutic target resistant to evolutionary evasion by studying its role in dsRNA binding among different filovirus VP35 homologs. Through simulations and experiments, they demonstrated that cryptic pocket dynamics modulate the RNA binding modes, directly influencing how VP35 variants block RIG-I and MDA5-mediated immune responses.

      The authors successfully achieved their aim, showing that the cryptic pocket is not a random structural feature but rather an allosteric regulator of dsRNA binding. Their results not only explain functional differences in VP35 homologs despite their structural similarity but also suggest that targeting this cryptic pocket may offer a viable strategy for drug development with reduced risk of resistance.

      This work represents a significant advance in the field of viral immunoevasion and therapeutic targeting of traditionally "undruggable" protein features. By demonstrating the functional relevance of cryptic pockets, the study challenges long-standing assumptions and provides a compelling basis for exploring new drug discovery strategies targeting these previously overlooked regions.

      Strengths:

      The combination of molecular simulations and experimental approaches is a major strength, enabling the authors to connect structural dynamics with functional outcomes. The use of homologous VP35 proteins from different filoviruses strengthens the study's generality, and the incorporation of point mutations adds mechanistic depth. Furthermore, the ability to reconcile functional differences that could not be explained by crystal structures alone highlights the utility of dynamic studies in uncovering hidden allosteric features.

      Weaknesses:

      While the methodology is robust, certain limitations should be acknowledged. For example, the study would benefit from a more detailed quantitative analysis of how specific mutations impact RNA binding and cryptic pocket dynamics, as this could provide greater mechanistic insight. This study would also benefit from providing a clear rationale for the selection of the amber03 force field and considering the inclusion of volume-based approaches for pocket analysis. Such revisions will strengthen the robustness and impact of the study.

      Reviewer #3 (Public review):

      Summary:

      The authors suggest a mechanism that explains the preference of viral protein 35 (VP35) homologs to bind the backbone of double-stranded RNA versus blunt ends. These preferences have a biological impact in terms of the ability of different viruses to escape the immune response of the host.

      The proposed mechanism involves the existence of a cryptic pocket, where VP35 binds the blunt ends of dsRNA when the cryptic pocket is closed and preferentially binds the RNA double-stranded backbone when the pocket is open.

      The authors performed MD simulation results, thiol labelling experiments, fluorescence polarization assays, as well as point mutations to support their hypothesis.

      Strengths:

      This is a genuinely interesting scientific question, which is approached through multiple complementary experiments as well as extensive MD simulations. Moreover, structural biology studies focused on RNA-protein interactions are particularly rare, highlighting the importance of further research in this area.

      Weaknesses:

      - Sequence similarity between Ebola-Zaire (94% similarity) explains their similar behaviour in simulations and experimental assays. Marburg instead is a more distant homolog (~80% similarity relative to Ebola/Zaire). This difference is sequence and structure can explain the propensities, without the need to involve the existence of a cryptic pocket.  

      - No real evidence for the presence of a cryptic pocket is presented, but rather a distance probability distribution between two residues obtained from extensive MD simulations. It would be interesting to characterise the modelled RNA-protein interface in more detail

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      Before assessing the overall quality and significance of this work, this reviewer needs to specify the context of this review. This reviewer's expertise lies in biased and unbiased molecular dynamics simulations and structural biology. Hence, while this reviewer can overall understand the results for thiol-labeling and RNA-binding assays, this review will not assess the quality of these biochemical assays and will mainly focus on the modelling results.

      Overall, the authors present important findings to reveal how the intrinsic dynamics of proteins can influence their binding to molecules and, hence, their functions. They have used extensive biased simulations to characterize the opening of a pocket which was not clearly seen in experimental results - at least when the proteins were in their unbound forms. Biochemical assays further validated theoretical results and linked them to RNA binding modes. Thus, with the combination of biochemical assays and state-of-the-art Molecular Dynamics simulations, these results are clearly compelling.

      Beyond the clear qualities of this work, I would like to mention a few points that may help to better contextualize and rationalize the results presented here.

      - First, both the introduction and discussion sections seem relatively condensed. Extending them to, for example, better describe the methodological context and discuss the methodological limitations and potential future developments related to biased simulations may help the reader get a better idea of the significance of this work.

      - The authors presented 3 homologs in this study: IIDs of Reston, Zaire, and Marburg viruses. While Zaire and Reston are relatively similar in terms of sequence (Figure S1). The sequences clearly differ between Marburg and the two other viruses. Can the author indicate a similarity/identity score for each sequence alignment and extend Figure S1 to really compare Marburg sequence with Reston and Zaire? Can they also discuss how these differences may impact the comparison of the three IIDs? This may also help the reader to understand why sometimes the authors compare the three viruses and why sometimes they are focusing only on comparing Zaire and Reston.

      We would like to thank the reviewer for raising this point and we agree that additional details about the sequence comparison provide more context for the choices of substitutions we made. Therefore, we have updated Fig S1 to include a detailed pairwise comparison of all the IID sequences including the percentage sequence similarity and identity. We have also added the following sentences to the results section where we first introduced the substitutions between Zaire and Reston IIDs

      “While the sequence of Marburg IID differs significantly from Reston and Zaire IIDs with a sequence identity of 42% and 45% respectively (Fig S1), the sequences of Reston and Zaire IID are 88% identical and 94% similar. Particularly, substitutions between these homologs are all distal to the RNA-binding interfaces and all the residues known to make contacts with dsRNA from structural studies are identical. Therefore, we reasoned that comparing these two homologs would help us identify minimal substitutions that control pocket opening probability and allow us to study its effect on dsRNA binding with minimal perturbation of other factors.”

      - In this work, the authors mentioned the cryptic pocket but only illustrated the opening of this pocket by using a simple distance between residues (Figure 2) and a SASA of one cysteine (Figure 3). In previous work done by the authors (Cruz et al. , Nature Communications, 2022), they better characterized residues involved in RNA binding and forming the cryptic pocket. Thus, would it be possible to better described this cryptic pocket (residues involved, volume, etc ..) and better explain how, structurally speaking, it can affect RNA binding mode (blunt ends vs backbone) ?

      We thank the reviewer for pointing out the need for clarification on the residues involved in RNA binding and pocket opening and the mechanism linking them. We have performed the CARDS analysis on Reston and Marburg IID simulations as we had done on Zaire IID simulations in Cruz et al, 2022. The results are shown in Fig S3 and discussed in the main text in the first results section.

      - As a counter-example, the authors used C315 for SASA calculation and thiol labeling (Figure 3). This cysteine is mainly buried as seen by SASA for Reston and Marburg and thiol labelling (Figure 3 E,G,H). Would it be possible to also get thiol labeling rates for Cystein 264 in Reston and its equivalent to see a case where the residue is solvent exposed?

      We have shown the SASA for C264 from the simulations in Fig S4 and the thiol labeling rates for all 4 cysteines in Reston IID in Fig S6. Comparing these rates to the rates of all 4 cysteines obtained for Zaire IID (Fig 4 in Cruz et Al, 2022), we observe that the rates for C264, which is expected to be exposed are significantly faster than those of C315 which is largely buried in all variants.  

      - I strongly support here the will of the authors to share their data by depositing them in an OSF repository. These data help this reviewer to assess some of the results produced by the authors and help to better understand the dynamics of their respective systems. I have just a few comments that need to be addressed regarding these data: o While there are data for WT Reston and Marburg, there is no data for Zaire. Is this because these data correspond to the previous work (Cruz et al. 2022) (in this case, it would be good to make this clear in the main text) or is it an omission? o There is no center.xtc file in the Marburg-MSM directory o There is no protmasses.pdb in the Reston-MSM directory

      - In general, if possible, it would be good to use the same name for each type of file presented in each directory to help a potential user understand a bit more how to use these data.

      - If possible, adding a bit more of metadata and explanations on the OSF webpage would be very beneficial to help find these data. To help in this direction, the authors may have a look to the guidelines presented at the end of this article: https://elifesciences.org/articles/90061

      We thank the reviewer for pointing out the omissions from the OSF repository. We have added the missing files and followed a uniform naming convention. We have also added documentation in the metadata section of the OSF repository to help others use the data.  

      Indeed, the simulation data used for Zaire IID is available on the OSF repository corresponding to Cruz et al. 2022 at https://osf.io/5pg2a. We have also clarified this in the data availability section of the main text.  

      Minor point:

      In Figure 2, there is a slight bump for the 225-295 distance around 1 nm for Reston. Can the author comment it ? As these results are based on long AS, even if very small, do the authors think this population is significant?

      Comparing the probability distributions obtained from bootstrapping the frames used to calculate the MSM equilibrium probabilities (Revised Fig1), we observe that the bump for the Reston IID distribution is persistent in all bootstraps indicating that it might indeed be significant. This is also consistent with our observation that the cysteine 296 does get fully labeled in our thiol labeling experiments, albeit significantly slowly compared to the other homologs.  

      Reviewer #2 (Recommendations for the authors):

      I recommend that the authors implement moderate revisions prior to the publication of this research article, addressing the identified weaknesses (see below).

      The authors should provide a rationale for their selection of the amber03 force field (Duan et al., JCTC 24, 1999-2012, 2003) for molecular dynamics simulations, particularly given the availability of more recent and optimized versions of the AMBER force fields. These newer force fields may offer improved parameterization for biomolecular systems, potentially enhancing the accuracy and reliability of the simulation results.

      We chose the Amber03 force field because it has performed well in much of our past work, including the original prediction of the cryptic pocket that we study in this manuscript. The results presented in this manuscript also demonstrate the predictive power of Amber03.

      Additionally, while the authors utilized solvent-accessible surface area (SASA) for cryptic pocket analysis, volume-based approaches may be more suitable for this purpose. Several studies (e.g., Sztain et al. J. Chem. Inf. Model. 2021, 61, 7, 3495-3501) have demonstrated the utility of volume analysis in identifying and characterizing cryptic pockets. The authors could consider incorporating such methodologies to provide a more comprehensive assessment of pocket dynamics.

      The authors propose that the cryptic pocket is not merely a random structural feature but functions as an allosteric regulator of dsRNA binding. To further substantiate this claim, an in-depth analysis of this allosteric effect using for instance network analysis could significantly enhance the study. Such an approach could identify key residues and interaction networks within the protein that mediate the allosteric regulation. This type of mechanistic insight would not only provide a stronger theoretical framework but also offer valuable information for the rational design of therapeutic interventions targeting the cryptic pocket.  

      We thank the reviewer for pointing out the need for clarification on the molecular mechanism linking the opening of the cryptic pocket to RNA binding. We have performed the CARDS analysis on Reston and Marburg IID simulations as was done on Zaire IID simulations in Cruz et al, 2022. The results are shown in Fig S3 and discussed in the main text in the first results section. Briefly, we do find a community (blue) comprising the pocket residues in Reston and Marburg IIDs as we did in Zaire. Similarly, we find that many of the RNA binding residues fall into the orange and green communities as in Zaire. However, there are differences in exactly which residues are clustered into which of these two communities. There are also differences in how strongly connected these communities are in the three homologs. Therefore, while we can conclude that pocket residues likely have varying influence on the RNA binding residues in the homologs, it is hard to say exactly what that variation is from this analysis alone.  

      Reviewer #3 (Recommendations for the authors):

      - MD simulations: All simulations were initialised from the 3 crystal structures, is it correct? In all cases, RNA ds was not included in simulations, right? Were crystallographic MG ions in the vicinity of the binding site included? these are known to influence structural dynamics to a large extent.

      All simulations were indeed initialized using only protein atoms from the crystal structures 3FKE, 4GHL, and 3L2A. Therefore, crystallographic Mg ions were not included in the simulations. However, we do agree with the reviewer and think that the effect of parameters such as salt concentration, specifically Mg ions which are known to be important for the stability of dsRNA, on the pocket opening equilibrium merits detailed study in future work.

      - Figure 2: Would it be possible to perform e.g. a block error analysis and show the statistical errors of the distributions?

      We agree that showing the statistical variation in the MSM equilibrium probabilities is important for comparing the different distributions. Therefore, we have updated Figs 2 and 5 to show the distributions obtained from MSMs constructed using 100 and 10 random samples of the data respectively to indicate the extent of the statistical variability in the MSM construction.  

      - More detailed structural biology experiments (such as NMR or HDX-MS) could potentially shed more light on the differential behaviour of the three different homologs, providing more evidence for the presence of the cryptic pocket.

      We agree that NMR and HDX-MS are powerful means to study dynamics and are actively exploring these approaches for our future work.

    1. Reviewer #1 (Public review):

      Summary:

      This work provides structural and mechanistic insights into the disordered protein recognition process inside the endoplasmic reticulum by the inositol-requiring enzyme 1. Using state-of-the-art molecular dynamics simulation tools, the authors propose a mechanism of disordered protein recognition that reconciles contradictory findings of biochemical and structural biology experiments.

      Strengths:

      (1) All MD simulations have been carried out in triplicate, and several different folded conformations were generated using alphafold2. This provides adequate statistics to draw meaningful conclusions from the simulations.

      (2) Potential limitations of the disordered protein force fields and water models have been taken into consideration. Particularly, performing the simulation in both TIP3P and TIP4PD water models ensures that the conclusions drawn are not influenced by the force field choice.

      (3) The binding of a large number of disordered peptides was investigated, ensuring that the conclusions drawn about disordered peptide recognition are sufficiently general.

      Weaknesses:

      (1) The timescales of the peptide recognition and unbinding process are much longer than what can be sampled from unbiased simulations. Therefore, the proposed mechanism of recognition should only be considered a hypothesis based on the results presented here. For example, peptides that do not dissociate within one one-microsecond MD simulation are considered to be stable binders. However, they may not have a viable way to bind to the narrow protein cleft in the first place.

      (2) Oftentimes, representative structures sampled from MD simulation are used to draw conclusions (e.g., Figure 4 about the role of R161 mutation in binding affinity). This is not appropriate as one unbinding event being observed or not observed in a microsecond-long trajectory does not provide sufficient information about the binding strength of the free energy difference.

    2. Reviewer #2 (Public review):

      Summary:

      In this manuscript, the authors investigated the interactions between IRE and unfolded peptides using all-atom molecular dynamics simulations. The interactions between a couple of unfolded peptides and IRE might shed light on the activation of the UPR.

      Strengths:

      (1) Well-written manuscript tailored for a biology audience.

      (2) State-of-the-art structural predictions and all-atom simulations.

      (3) Validation with existing experimental data

      (4) Clear schematic diagram summarizing the mechanisms learned from simulations.

      (5) Shared simulation data and code in a public repository.

      Weaknesses:

      (1) Improving presentation to include more computational details.

      (2) More quantitative analysis in addition to visual structures.

    3. Author response:

      Reviewer #1:

      We appreciate the Reviewer's positive feedback on the strengths of our study.

      The timescales of the peptide recognition and unbinding process are much longer than what can be sampled from unbiased simulations. Therefore, the proposed mechanism of recognition should only be considered a hypothesis based on the results presented here. For example, peptides that do not dissociate within one one-microsecond MD simulation are considered to be stable binders. However, they may not have a viable way to bind to the narrow protein cleft in the first place.

      We thank the Reviewer for this valuable feedback. We agree with the Reviewer. Our work on the IRE1 cLD activation mechanism is focused on generating hypotheses of the binding mechanism driven by MD simulations. We recognize the limitations in defining a stable binder due to the time scales sampled. However, our primary focus was to sample and characterize a possible binding pose in the center of the cLD dimer. We will contextualize our statements about stable binders and limit our claims to stating that the protein-peptide complex is stable within 1 μs-long simulations. However, we believe that our finding that the cLD dimer groove is not able to accommodate peptides is solid, as the steric impediment described is present in all our replicas, both with and without peptides, in a cumulative sampling time of 72 μs. Additionally, we will include a plot showing the distribution of groove width across all replicas.

      Oftentimes, representative structures sampled from MD simulation are used to draw conclusions (e.g., Figure 4 about the role of R161 mutation in binding affinity). This is not appropriate as one unbinding event being observed or not observed in a microsecond-long trajectory does not provide sufficient information about the binding strength of the free energy difference.

      We thank the Reviewer for the insightful comment. As explained in the previous point, we believe that our simulations provide useful hypotheses, and we agree that we do not currently have data to comment on binding affinity. We will, therefore, remove all references to this term. We are aware of the limitations due to the timescale and agree that these limitations cannot be overcome with standard equilibrium simulations. To address these limitations, we plan to use orthogonal methods, namely MM/PB(GB)SA calculations for calculating binding free energies from existing trajectories (as performed by https://doi.org/10.1021/acs.jcim.4c00975). We will add predictions of all the peptides using AlphaFold 3, to confirm the binding region.

      Reviewer #2:

      We thank the Reviewer for their positive feedback.

      Improving presentation to include more computational details.

      We thank the Reviewer for raising this critical point. We agree that the manuscript is tailored for a biology audience, as the data are particularly relevant for that community. Nevertheless, we also understand the importance of providing sufficient methodological detail for computational readers. We will add appropriate computational information in the main text.

      More quantitative analysis in addition to visual structures.

      We will add an uncertainty estimate for the HDX calculations using bootstrapping and include additional information on bond distances for Y161. We will also incorporate time-series data showing the distance of the peptide from the groove across all replicas.

      Reviewer #3:

      We appreciate the Reviewer's positive feedback on our work.

      A potential weakness of the study is the usage of equilibrium (unbiased) molecular dynamics simulations so that processes and conformational changes on the microsecond time scale can be probed. Furthermore, there can be inaccuracies and biases in the description of unfolded peptides and protein segments due to the protein force fields. Here, it should be noted that the authors do acknowledge these possible limitations of their study in the conclusions.

      We appreciate the Reviewer's thoughtful comment. As noted in our response to Reviewer 1, we plan to address the concern about sampling by applying orthogonal methods. We agree with the Reviewer that some form of enhanced sampling is necessary if we want to assess binding in a more quantitative way, e.g., via free energy calculations. However, we also realize that applying any enhanced sampling scheme to our system is very challenging, given its large size and the complex peptide-protein interactions, which are not easily captured in a few collective variables. After a careful assessment and some preliminary tests, we decided that estimating free energies using enhanced sampling would necessitate a separate paper due to both the conceptual complexity of the project and the size of the necessary sampling campaign.

    1. Reviewer #1 (Public review):

      Summary:

      This study addresses a critical gap in veterinary diagnostics by developing a CRISPR-based diagnostic toolbox (SHERLOCK4AAT) for detecting animal African trypanosomosis. It describes the development and field deployment of SHERLOCK4AAT, a CRISPR-Cas13-based diagnostic toolbox for the eco-epidemiological surveillance of animal African trypanosomosis (AAT) in West Africa.

      The authors successfully created and validated species-specific assays for multiple trypanosomes, including T. congolense, T. vivax, T. theileri, T. simiae, and T. suis, alongside pan-trypanosomatid and pan-Trypanozoon assays. The field validation in pigs from Guinea and Côte d'Ivoire revealed high trypanosome prevalence (62.7%), frequent co-infections, and importantly identified T. b. gambiense in one animal at each site, suggesting pigs may serve as potential reservoirs for this human-infective parasite.

      A major strength of the study lies in its methodological innovation. By adapting SHERLOCK to target both conserved and species-discriminating sequences, the authors achieved high sensitivity and specificity in detecting Trypanosoma species. Their use of dried blood spots, validated thresholds through ROC analyses, and statistical robustness (e.g., Bayesian latent class modeling) provides a strong foundation for their conclusions.

      The results are significant: over 60% of pigs tested positive for at least one trypanosome species, with co-infections observed frequently and T. b. gambiense detected in pigs at both sites. These findings have direct implications for the role of animal reservoirs in human disease transmission and underscore the value of pigs as sentinel hosts in gHAT elimination efforts.

      The limitations are well acknowledged, particularly the suboptimal sensitivity of the T. vivax assay and the reliance on synthetic controls for T. suis and T. simiae. However, these limitations do not undermine the overall conclusions, and the paper provides a clear roadmap for further assay refinement and implementation.

      This study offers a timely, impactful, and well-substantiated contribution to the field. The SHERLOCK4AAT toolbox holds promise for improving AAT diagnostics in resource-limited settings and advancing One Health surveillance frameworks.

      Strengths:

      (1) The adaptation of SHERLOCK technology for AAT represents a significant technical advancement, offering higher sensitivity than traditional parasitological methods and the ability to detect multiple species simultaneously.

      (2) Rigorously performed with validation using appropriate controls, ROC curve analyses, and Bayesian latent class modelling, establishing clear analytical sensitivity and specificity for most assays.

      (3) Testing 424 pig samples across two countries provides robust evidence of the tool's utility and reveals important epidemiological insights about trypanosome diversity and prevalence.

      (4) The identification of T. b. gambiense in pigs at both sites has significant implications for HAT elimination strategies and highlights the need for integrated One Health approaches.

      (5) The use of dried blood spots and RNA detection for active infections makes the approach practical for field surveillance in resource-limited settings.

      Weaknesses:

      (1) The manuscript would benefit from more detailed discussion of practical considerations such as cost, equipment requirements, and training needs for implementing SHERLOCK in endemic areas and rural settings which would improve applicability.

      (2) Limited discussion of pig selection criteria: More justification for choosing pigs as sentinel animals and discussion of potential limitations of this approach would strengthen the manuscript.

      (3) More details on why certain genes were targeted would strengthen the methods.

      (4) Table formatting could be improved for readability.

      (5) Some figures are complex and would benefit from additional explanations in the legends.

    1. Reviewer #1 (Public review):

      Summary:

      The research investigates the frequency-dependent effects of transcutaneous tibial nerve stimulation (TTNS) on bladder function in healthy humans and via a computational model. The authors report that low-frequency (1 Hz) TTNS accelerates the urge to void, while high-frequency (20 Hz) TTNS delays it, corroborated by a computational model suggesting brainstem-mediated mechanisms. The work bridges experimental and theoretical approaches to propose a novel framework for TTNS applications in urinary retention.

      Strengths:

      (1) The integration of human experiments and computational modeling is a major strength. The model successfully replicates bladder dynamics and provides mechanistic insights into frequency-dependent effects.

      (2) Identifies potential therapeutic applications for urinary retention, a condition with limited non-invasive treatments.

      (3) Figures are clear and illustrative, and supplementary materials provide essential methodological depth.

      (4) Controlled experimental design (eg., single-blinded, fluid/caffeine restrictions, etc), detailed computational model parameters and validation against animal data, transparency in data exclusion criteria and statistical adjustments.

      Weaknesses:

      (1) The study uses healthy participants; extrapolation to clinical populations (e.g., urinary retention patients) requires validation.

      (2) The simulated bladder capacity (100-150 mL) is lower than physiological ranges (300-400 mL). While the authors note this, the impact on model validity should be further addressed.

      (3) The model omits nociceptive afferents, limiting its applicability to pathological conditions like overactive bladder.

      (4) The lack of significant differences in urge intensity between groups (despite timing differences) warrants deeper discussion. Is the primary effect on efferent activity (as suggested) rather than sensory perception?

      (5) One of the highlights of this study is the identification of the effect of low-frequency (1 Hz) tibial nerve stimulation (TNS) on facilitating bladder contraction. Although the authors have clarified this effect in healthy participants, it would strengthen the conclusion if a UAB animal model (e.g., PMCID: PMC7927909, PMC8163611, PMC7847056, PMC8799394) were used to evaluate the same effect.

    1. # the number of age bins; m = 3 is the worst case

      worst case in that the three age classes show similar representation (e.g., A1=.33, A2=.33, A3=.33)? Why was three chosen and not 2 or 4?

    Annotators

    1. Reviewer #3 (Public review):

      Summary

      In this work, Casu et al. have reported the characterization of a previously uncharacterized membrane protein CisA encoded in a non-canonical contractile injection system of Streptomyces coelicolor, CISSc, which is a cytosolic CISs significantly distinct from both intracellular membrane-anchored T6SSs and extracellular CISs. The authors have presented the first high-resolution structure of the extended CISSc structure. It revealed important structural insights of the extended state of this non-canonical CIS.

      To further explore how CISSc interacted with cytoplasmic membrane, they further set out to investigate a membrane protein CisA encoded in the CISSc cluster and previously hypothesized to be the membrane adaptor for CISSc; however, the structure revealed that it was not associated with CISSc. Using a fluorescence microscope and cell fractionation assay, the authors verified that CisA is indeed a membrane-associated protein. They further determined experimentally that CisA had a cytosolic N-terminal domain and a periplasmic C-terminus. The functional analysis of cisA mutant revealed that it is not required for CISSc assembly but is essential for the contraction, as a result, the deletion significantly affects CISSc-mediated cell death upon stress, timely differentiation, as well as secondary metabolite production. Although the work did not resolve the mechanistic detail how CisA interacts with CISSc structure, they used in-silico prediction of protein-protein interactions between monomeric CisA and CISSc components using Alphafold2-Multimer, which identified baseplate protein Cis11 as a potential interaction partner. Such prediction sets out a strong basis for future investigations to explore the molecular mechanistic details how CisA mediates the contraction via interactions with the CIS structural components such as Cis11. Using AlphaFold3, the authors also estimated the oligomerization state of CisA, which can be present as a pentamer. Authors further suggested that such oligomerization is mediated by the interaction of C-terminal solute-binding like domain.

      In general, the work provides solid data and a strong foundation for future investigation toward understanding the mechanism of CISSc contraction, and potentially, the relation between the membrane association of CISSc, the sheath contraction and the cell death.

      Major Strength:

      The paper is well-structured, and the conclusion of the study is supported by solid data and careful data interpretation were presented. The authors provided strong evidence on (1) the high-resolution structure of extended CISSc determined by cryo-EM, and the subsequent comparison with known eCIS structures, which sheds light on both its similarity and different features from other subtypes of eCISs in detail; (2) the topological features of CisA using fluorescence microscopic analysis, cell fractionation and PhoA-LacZα reporter assays, (3) functions of CisA in CISSc-mediated cell death and secondary metabolite production, likely via the regulation of sheath contraction, (4) structural prediction of the oligomerization state of CisA and potential interaction partners of CIS structure.

      Weakness:

      Due to technical limitations, authors are not able to experimentally demonstrate the direct interaction between CisA with baseplate complex of CISSc, since they could not express cisA in E. coli due to its potential toxicity. Therefore, there is a lack of biochemical analysis of direct interaction between CisA and baseplate wedge. However, they have provided solid AlphaFold2-multimer prediction data and identified baseplate protein Cis11 as a potential interaction partner. Such predictions will guide future work towards biochemical analysis to verify such interaction.

      While there is no direct evidence showing that CisA is responsible for tethering CISSc to the membrane upon stress, and the spatial and temporal relation between membrane association and contraction remains unclear, I recognize that this is above the scope of the current work, so I would expect further investigation to address these questions in future.

      Conclusion

      Overall, the work provides a valuable contribution to our understanding on the structure of a much less understood subtype of CISs, which is unique compared to both membrane-anchored T6SSs and host-membrane targeting eCISs. Authors have successfully demonstrated the role of CisA in the contraction of CISSc, along with solid and detailed analysis of the contraction state of the particles with or without CisA using cryo-ET. Using structural modeling, authors also identified the potential oligomerization state and possible interaction partner within the CIS particle.

      Importantly, the work serves as a strong foundation to further investigate how the sheath contraction works here. The work contributes to expanding our understanding of the diverse CIS superfamilies, with significant novelty.

    1. Arts integration engages students in the creative process which offers a universal pathway to learning. Students 1) imagine, examine, and perceive; 2) explore, experiment, and develop craft; 3) create; 4) reflect, assess, and revise, and 5) share their products with others.

      I think this an important thing to remember with steps for students. This is the ultimate way to keep students engaged on what they are learning.

    1. Author response:

      The following is the authors’ response to the current reviews.

      We wanted to clarify Reviewer #1’s latest comment in the last round of review, “Furthermore, the referee appreciates that the authors have echoed the concern regarding the limited statistical robustness of the observed scrambling events.” We appreciate the follow up information provided from Reviewer #1 that their comment is specifically about the low count alternative pathway events that we view at the dimer interface, and not the statistics of the manuscript overall as they believe that “the study presents a statistically rigorous analysis of lipid scrambling events across multiple structures and conformations (Reviewer #1)”. We agree with the Reviewer and acknowledge that overall our coarse-grained study represents the most comprehensive single manuscript of the entire TMEM16 family to date.


      The following is the authors’ response to the original reviews.

      Public Review:

      Reviewer #1 (Public review):

      Summary:

      The manuscript investigates lipid scrambling mechanisms across TMEM16 family members using coarse-grained molecular dynamics (MD) simulations. While the study presents a statistically rigorous analysis of lipid scrambling events across multiple structures and conformations, several critical issues undermine its novelty, impact, and alignment with experimental observations.

      Critical issues:

      (1) Lack of Novelty:

      The phenomenon of lipid scrambling via an open hydrophilic groove is already well-established in the literature, including through atomistic MD simulations. The authors themselves acknowledge this fact in their introduction and discussion. By employing coarse-grained simulations, the study essentially reiterates previously known findings with limited additional mechanistic insight. The repeated observation of scrambling occurring predominantly via the groove does not offer significant advancement beyond prior work.

      We agree with the reviewer’s statement regarding the lack of novelty when it comes to our observations of scrambling in the groove of open Ca2+-bound TMEM16 structures. However, we feel that the inclusion of closed structures in this study, which attempts to address the yet unanswered question of how scrambling by TMEM16s occurs in the absence of Ca2+, offers new observations for the field. In our study we specifically address to what extent the induced membrane deformation, which has been theorized to aid lipids cross the bilayer especially in the absence of Ca2+, contributes to the rate of scrambling (see references 36, 59, and 66). There are also several TMEM16F structures solved under activating conditions (bound to Ca2+ and in the presence of PIP2) which feature structural rearrangements to TM6 that may be indicative of an open state (PDB 6P48) and had not been tested in simulations. We show that these structures do not scramble and thereby present evidence against an out-of-the-groove scrambling mechanism for these states. Although we find a handful of examples of lipids being scrambled by Ca2+-free structures of TMEM16 scramblases, none of our simulations suggest that these events are related to the degree of deformation.

      (2) Redundancy Across Systems:

      The manuscript explores multiple TMEM16 family members in activating and non-activating conformations, but the conclusions remain largely confirmatory. The extensive dataset generated through coarse-grained MD simulations primarily reinforces established mechanistic models rather than uncovering fundamentally new insights. The effort, while statistically robust, feels excessive given the incremental nature of the findings.

      Again, we agree with the reviewer’s statement that our results largely confirm those published by other groups and our own. We think there is however value in comparing the scrambling competence of these TMEM16 structures in a consistent manner in a single study to reduce inconsistencies that may be introduced by different simulation methods, parameters, environmental variables such as lipid composition as used in other published works of single family members. The consistency across our simulations and high number of observed scrambling events have allowed us to confirm that the mechanism of scrambling is shared by multiple family members and relies most obviously on groove dilation.

      (3) Discrepancy with Experimental Observations:

      The use of coarse-grained simulations introduces inherent limitations in accurately representing lipid scrambling dynamics at the atomistic level. Experimental studies have highlighted nuances in lipid permeation that are not fully captured by coarse-grained models. This discrepancy raises questions about the biological relevance of the reported scrambling events, especially those occurring outside the canonical groove.

      We thank the reviewer for bringing up the possible inaccuracies introduced by coarse graining our simulations. This is also a concern for us, and we address this issue extensively in our discussion. As the reviewer pointed out above, our CG simulations have largely confirmed existing evidence in the field which we think speaks well to the transferability of observations from atomistic simulations to the coarse-grained level of detail. We have made both qualitative and quantitative comparisons between atomistic and coarse-grained simulations of nhTMEM16 and TMEM16F (Figure 1, Figure 4-figure supplement 1, Figure 4-figure supplement 5) showing the two methods give similar answers for where lipids interact with the protein, including outside of the canonical groove. We do not dispute the possible discrepancy between our simulations and experiment, but our goal is to share new nuanced ideas for the predicted TMEM16 scrambling mechanism that we hope will be tested by future experimental studies.

      (4) Alternative Scrambling Sites:

      The manuscript reports scrambling events at the dimer-dimer interface as a novel mechanism. While this observation is intriguing, it is not explored in sufficient detail to establish its functional significance. Furthermore, the low frequency of these events (relative to groove-mediated scrambling) suggests they may be artifacts of the simulation model rather than biologically meaningful pathways.

      We agree with the reviewer that our observed number of scrambling events in the dimer interface is too low to present it as strong evidence for it being the alternative mechanism for Ca2+-independent scrambling. This will require additional experiments and computational studies which we plan to do in future research. However, we are less certain that these are artifacts of the coarse-grained simulation system as we observed a similar event in an atomistic simulation of TMEM16F.

      Conclusion:

      Overall, while the study is technically sound and presents a large dataset of lipid scrambling events across multiple TMEM16 structures, it falls short in terms of novelty and mechanistic advancement. The findings are largely confirmatory and do not bridge the gap between coarse-grained simulations and experimental observations. Future efforts should focus on resolving these limitations, possibly through atomistic simulations or experimental validation of the alternative scrambling pathways.

      Reviewer #2 (Public review):

      Summary:

      Stephens et al. present a comprehensive study of TMEM16-members via coarse-grained MD simulations (CGMD). They particularly focus on the scramblase ability of these proteins and aim to characterize the "energetics of scrambling". Through their simulations, the authors interestingly relate protein conformational states to the membrane's thickness and link those to the scrambling ability of TMEM members, measured as the trespassing tendency of lipids across leaflets. They validate their simulation with a direct qualitative comparison with Cryo-EM maps.

      Strengths:

      The study demonstrates an efficient use of CGMD simulations to explore lipid scrambling across various TMEM16 family members. By leveraging this approach, the authors are able to bypass some of the sampling limitations inherent in all-atom simulations, providing a more comprehensive and high-throughput analysis of lipid scrambling. Their comparison of different protein conformations, including open and closed groove states, presents a detailed exploration of how structural features influence scrambling activity, adding significant value to the field. A key contribution of this study is the finding that groove dilation plays a central role in lipid scrambling. The authors observe that for scrambling-competent TMEM16 structures, there is substantial membrane thinning and groove widening. The open Ca2+-bound nhTMEM16 structure (PDB ID 4WIS) was identified as the fastest scrambler in their simulations, with scrambling rates as high as 24.4 {plus minus} 5.2 events per μs. This structure also shows significant membrane thinning (up to 18 Å), which supports the hypothesis that groove dilation lowers the energetic barrier for lipid translocation, facilitating scrambling.

      The study also establishes a correlation between structural features and scrambling competence, though analyses often lack statistical robustness and quantitative comparisons. The simulations differentiate between open and closed conformations of TMEM16 structures, with open-groove structures exhibiting increased scrambling activity, while closed-groove structures do not. This finding aligns with previous research suggesting that the structural dynamics of the groove are critical for scrambling. Furthermore, the authors explore how the physical dimensions of the groove qualitatively correlate with observed scrambling rates. For example, TMEM16K induces increased membrane thinning in its open form, suggesting that membrane properties, along with structural features, play a role in modulating scrambling activity.

      Another significant finding is the concept of "out-of-the-groove" scrambling, where lipid translocation occurs outside the protein's groove. This observation introduces the possibility of alternate scrambling mechanisms that do not follow the traditional "credit-card model" of groove-mediated lipid scrambling. In their simulations, the authors note that these out-of-the-groove events predominantly occur at the dimer interface between TM3 and TM10, especially in mammalian TMEM16 structures. While these events were not observed in fungal TMEM16s, they may provide insight into Ca2+-independent scrambling mechanisms, as they do not require groove opening.

      Weaknesses:

      A significant challenge of the study is the discrepancy between the scrambling rates observed in CGMD simulations and those reported experimentally. Despite the authors' claim that the rates are in line experimentally, the observed differences can mean large energetic discrepancies in describing scrambling (larger than 1kT barrier in reality). For instance, the authors report scrambling rates of 10.7 events per μs for TMEM16F and 24.4 events per μs for nhTMEM16, which are several orders of magnitude faster than experimental rates. While the authors suggest that this discrepancy could be due to the Martini 3 force field's faster diffusion dynamics, this explanation does not fully account for the large difference in rates. A more thorough discussion on how the choice of force field and simulation parameters influence the results, and how these discrepancies can be reconciled with experimental data, would strengthen the conclusions. Likewise, rate calculations in the study are based on 10 μs simulations, while experimental scrambling rates occur over seconds. This timescale discrepancy limits the study's accuracy, as the simulations may not capture rare or slow scrambling events that are observed experimentally and therefore might underestimate the kinetics of scrambling. It's however important to recognize that it's hard (borderline unachievable) to pinpoint reasonable kinetics for systems like this using the currently available computational power and force field accuracy. The faster diffusion in simulations may lead to overestimated scrambling rates, making the simulation results less comparable to real-world observations. Thus, I would therefore read the findings qualitatively rather than quantitatively. An interesting observation is the asymmetry observed in the scrambling rates of the two monomers. Since MARTINI is known to be limited in correctly sampling protein dynamics, the authors - in order to preserve the fold - have applied a strong (500 kJ mol-1 nm-2) elastic network. However, I am wondering how the ENM applies across the dimer and if any asymmetry can be noticed in the application of restraints for each monomer and at the dimer interface. How can this have potentially biased the asymmetry in the scrambling rates observed between the monomers? Is this artificially obtained from restraining the initial structure, or is the asymmetry somehow gatekeeping the scrambling mechanism to occur majorly across a single monomer? Answering this question would have far-reaching implications to better describe the mechanism of scrambling.

      The main aim of our computational survey was to directly compare all relevant published TMEM16 structures in both open and closed states using the Martini 3 CGMD force field. Our standardized simulation and analysis protocol allowed us to quantitatively compare scrambling rates across the TMEM16 family, something that has never been done before. We do acknowledge that direct comparison between simulated versus experimental scrambling rates is complicated and is best to be interpreted qualitatively. In line with other reports (e.g., Li et al, PNAS 2024), lipid scrambling in CGMD is 2-3 orders of magnitude faster than typical experimental findings. In the CG simulation field, these increased dynamics due to the smoother energy landscape are a well known phenomenon. In our view, this is a valuable trade-off for being able to capture statistically robust scrambling dynamics and gain mechanistic understanding in the first place, since these are currently challenging to obtain otherwise. For example, with all-atom MD it would have been near-impossible to conclude that groove openness and high scrambling rates are closely related, simply because one would only measure a handful of scrambling events in (at most) a handful of structures.

      Considering the elastic network: the reviewer is correct in that the elastic network restrains the overall structure to the experimental conformation. This is necessary because the Martini 3 force field does not accurately model changes in secondary (and tertiary) structure. In fact, by retaining the structural information from the experimental structures, we argue that the elastic network helped us arrive at the conclusion that groove openness is the major contributing factor in determining a protein’s scrambling rate. This is best exemplified by the asymmetric X-ray structure of TMEM16K (5OC9), in which the groove of one subunit is more dilated than the other. In our simulation, this information was stored in the elastic network, yielding a 4x higher rate in the open groove than in the closed groove, within the same trajectory.

      Notably, the manuscript does not explore the impact of membrane composition on scrambling rates. While the authors use a specific lipid composition (DOPC) in their simulations, they acknowledge that membrane composition can influence scrambling activity. However, the study does not explore how different lipids or membrane environments or varying membrane curvature and tension, could alter scrambling behaviour. I appreciate that this might have been beyond the scope of this particular paper and the authors plan to further chase these questions, as this work sets a strong protocol for this study. Contextualizing scrambling in the context of membrane composition is particularly relevant since the authors note that TMEM16K's scrambling rate increases tenfold in thinner membranes, suggesting that lipid-specific or membrane-thickness-dependent effects could play a role.

      Considering different membrane compositions: for this study, we chose to keep the membranes as simple as possible. We opted for pure DOPC membranes, because it has (1) negligible intrinsic curvature, (2) forms fluid membranes, and (3) was used previously by others (Li et al, PNAS 2024). As mentioned by the reviewer, we believe our current study defines a good, standardized protocol and solid baseline for future efforts looking into the additional effects of membrane composition, tension, and curvature that could all affect TMEM16-mediated lipid scrambling.

      Reviewer #3 (Public review):

      Strengths:

      The strength of this study emerges from a comparative analysis of multiple structural starting points and understanding global/local motions of the protein with respect to lipid movement. Although the protein is well-studied, both experimentally and computationally, the understanding of conformational events in different family members, especially membrane thickness less compared to fungal scramblases offers good insights.

      We appreciate the reviewer recognizing the value of the comparative study. In addition to valuable insights from previous experimental and computational work, we hope to put forward a unifying framework that highlights various TMEM16 structural features and membrane properties that underlie scrambling function.

      Weaknesses:

      The weakness of the work is to fully reconcile with experimental evidence of Ca²⁺-independent scrambling rates observed in prior studies, but this part is also challenging using coarse-grain molecular simulations. Previous reports have identified lipid crossing, packing defects, and other associated events, so it is difficult to place this paper in that context. However, the absence of validation leaves certain claims, like alternative scrambling pathways, speculative.

      Answer: It is generally difficult to quantitatively compare bulk measurements of scrambling phenomena with simulation results. The advantage of simulations is to directly observe the transient scrambling events at a spatial and temporal resolution that is currently unattainable for experiments. The current experimental evidence for the precise mechanism of Ca2+-independent scrambling is still under debate. We therefore hope to leverage the strength of MD and statistical rigor of coarse-grained simulations to generate testable hypotheses for further structural, biochemical, and computational studies.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      The findings are largely confirmatory and do not bridge the gap between coarse-grained simulations and experimental observations. Future efforts should focus on resolving these limitations, possibly through atomistic simulations or experimental validation of the alternative scrambling pathways.

      While we agree with what the reviewer may be hinting at regarding limitations of coarse-grained MD simulations, we believe that our study holds much more merit than this comment suggests. We have provided something that has yet to be done in the field: a comprehensive study that directly compares the scrambling rates of multiple TMEM16 family members in different conformations using identical simulation conditions. Our work clearly shows that a sufficiently dilated grooves is the major structural feature that enables robust scrambling for all TMEM16 scramblases members with solved structures. While all TMEM16s cause significant distortion and thinning of the membrane, we assert that the extreme thinning observed around open grooves is significantly enhanced by the lipid scrambling itself as the two leaflets merge through lipid exchange.  We saw no evidence that membrane thinning/distortion alone, in the absence of an open groove, could support scrambling at the rates observed under activating conditions or even the low rates observed in Ca2+-independent scrambling. Moreover, our handful of observations of scrambling events outside of the groove, which has not yet been reported in any study, opens an exciting new direction for studying alternative scrambling mechanisms. That said, we are currently following up on many of the observations reported here such as: scrambling events outside the groove, the kinetics of scrambling, the possibility that lipids line the groove of non-scramblers like TMEM16A, etc. This is being done experimentally with our collaborators through site directed mutagenesis and with all-atom MD in our lab. Unfortunately, it is well beyond the scope of the current study to include all of this in the current paper.

      Reviewer #2 (Recommendations for the authors):

      Major comments and questions:

      (1) Line 214 and Figure 1- Figure Supplement 1: why have you only compared the final frame of the trajectory to the cryo-EM structure? Even if these comparisons are qualitative, they should be representative of the entire trajectory, not a single frame.

      We thank the reviewer for this suggestion and replaced the single-frame snapshots in Figure 1-figure supplement 1 for ensemble-averaged head groups densities. The overall agreement between membrane shapes in CGMD and cryo-EM was not affected by this change.

      (2) Lines 228-231: You comment 'Residues in this site on nhTMEM16 and TMEMF also seem to play a role in scrambling but the mechanism by which they do so is unclear.' This is something you could attempt to quantify in the simulations by calculating the correlation between scrambling and protein-membrane interactions/contacts in this site. Can you speculate on a mechanism that might be a contributing factor?

      We probed the correlation between these residues and scrambling lipids, as suggested by the reviewer, and interestingly not all scrambling lipids interact with these residues. Yet there is strong lipid density in this vicinity (see insets in Figure 1 and Figure 4-figure supplement 2). These observations lead us to suspect these residues impact scrambling indirectly through influencing the conformation of the protein or flexibility and shape of the membrane. This interpretation fits with mutagenesis studies highlighting a role for these residues in scrambling (see refs 59, 62, and 67). Specifically, Falzone et al. 2022 (ref 59) suggested that they may thin the membrane near the groove, but this has not been tested via structure determination and a detailed model of how they impact scrambling is missing. We could address this question with in silico mutations; however, CG simulation is not an appropriate method to study large scale protein dynamics, and AA simulations are likely best, but beyond the scope of this paper.

      (3) Lines 240-245 and Figure 1B: This section discusses the coupling between membrane distortions and the sinusoidal curve around the protein, however, Figure 1B only shows snapshots of the membrane distortions. Is it possible to understand how these two collective variables are correlated quantitatively (as opposed to the current qualitative analysis)?

      We believe that it may be possible to quantitatively capture these two key features of the membrane, as we did previously with nhTMEM16 using our continuum elasticity-based model of the membrane (Bethel and Grabe 2016). Our model agreed with all atom MD surfaces to within ~1 Å, hence showing good quantitative agreement throughout the entire membrane. However, we doubt that we could distill the essence of our model down to a simple functional relationship between the sinusoidal wave and pinching, which we think the reviewer is asking. Rather, we believe that the large-scale sinusoidal distortion (collective variable 1) and pinching/distortion (collective variable 2) near the groove arise from the interplay of the specific protein surface chemistry for each protein (patterning of polar and non-polar residues) and the membrane. This is why we chose to simply report the distinct patterns that the family members impose on the surrounding membrane, which we think is fascinating. Specifically, Fig. 1B shows that different TMEM16 family members distort the membrane in different ways. Most notably, fungal TMEM16s feature a more pronounced sinusoidal deformation, whereas the mammalian members primarily produce local pinching. Then, in Fig. 3A we show that the thinning at the groove happens in all structures and is more pronounced in open, scrambling-competent conformations. In other words, proteins can show very strong thinning (e.g. TMEM16K, 5OC9) even though the membrane generally remains flat.

      (4) Lines 257-258: Authors comment that TMEM16A lacks scramblase activity yet can achieve a fully lipid-lined groove (note the typo - should be lipid-lined, not lipid-line). Is a fully lipid-lined groove a prerequisite for scramblase activity? Are lipid-lined grooves the only requirement for scramblase activity? Could the authors clarify exactly what the prerequisite for scramblase activity is to avoid any confusion; this will be useful for later descriptions (i.e. line 295) where scrambling competence is again referred to. Additionally, the associated figure panel (Figure 1D) shows a snapshot of this finding but lacks any statistical quantifications - is a fully lipid-lined groove a single event? Perhaps the additional analyses, such as the groove-lipid contacts, may be useful here.

      The definition of lipid scrambling is that a lipid fully transitions from one membrane leaflet to the other. While a single lipid could transition through the groove on its own, it is well documented in both atomistic and CG MD simulations, that lipid scrambling typically happens through a lipid-lined groove, as shown in Fig. 1A-B. The lipids tend to form strong choline-to-phosphate interactions with nearest neighbors that make this energetically favorable. That said, lipid-lined grooves are not sufficient for robust scrambling, which is what we show in Fig. 1D where the non-scrambler TMEM16A did in fact feature a lipid-lined groove. As suggested, we performed contact analysis and found that residue K645 on TM6 in the middle of the groove contacts lipids in 9.2% of the simulation frames.

      To get a better understanding of how populated the TM4-TM6 pathway is with lipids across all simulated structures, we determined for every simulation frame how many headgroup beads resided in the groove. This indicates that the ion-conductive state of TMEM16A (5OYB*, Fig. 1D) only had 1 lipid in the pathway, on average, meaning that the configuration shown Fig. 1D is indeed exceptional. As a reference, our strongest scrambler nhTMEM16 4WIS, had an average of 2.8 lipids in the groove. We added a table containing the means and standard deviations that resulted from this analysis as Figure 1-Table supplement 1.

      (5) Lines 295-298 : The scrambling rates of the Ca²⁺-bound and Ca²⁺-free structures fall within overlapping error margins, it becomes difficult to definitively state that Ca²⁺ binding significantly enhances scrambling activity. This undermines the claim that the Ca²⁺-bound structure is the strongest scrambler. The authors should conduct statistical analyses to determine if the difference between the two conditions is statistically significant.

      In contrast to the reviewer’s comment, we do not claim that Ca2+-binding itself enhances lipid scrambling. Instead, what we show is that WT structures that are solved in an open confirmation (all of which are Ca2+-bound, except 6QM6) are robust scramblers. For nhTMEM16, we did not observe any scrambling events for the closed-groove proteins, making further statistical analysis redundant.

      (6) The authors claim that the scrambling rates derived from their MD simulations are in "excellent agreement" with experimental findings (lines 294-295), despite significant discrepancy between simulated and experimentally measured rates. For example, the simulated rate of 24.4 {plus minus} 5.2 events/µs for the open, Ca²⁺-bound fungal nhTMEM16 (PDB ID 4WIS) corresponds to approximately 24 million events per second, which is vastly higher than experimental rates. Experimental studies have reported scrambling rate constants of ~0.003 s⁻¹ for TMEM16 family members in the absence of Ca²⁺, measured under physiological conditions (https://doi.org/10.1038/s41467-019-11753-1 ). Even with Ca²⁺ activation, scrambling rates remain several orders of magnitude lower than the rates observed in simulations. Moreover, this highlights a larger problem: lipid scrambling rates occur over timescales that are not captured by these simulations. While the authors elude to these discrepancies (lines 605-606), they should be emphasised in the text, as opposed to the table caption. These should also be reconducted to differences between the membrane compositions of different studies.

      We agree with the spirit of the reviewer’s comment, and because of that, we were very careful not to claim that we reproduce experimental scrambling rates, just that the trends (scrambling-competent, or not) are correct. On lines 294-295, we actually said that the scrambling rates in our simulations excellently agree with “the presumed scrambling competence of each experimental structure”, which is true. 

      As explained extensively in the discussion section of our paper (and by many others), direct comparison between MD (e.g., Martini 3, but also atomistic force fields) dynamics and experimental measurements is challenging. The primary goal of our paper is to quantify and compare the scrambling capacity of different TMEM16 family members and different states, within a CGMD context.

      That said, we agree with the reviewer that we may have missed rare or long-timescale events (as is the case in any MD experiment) and added this point to the discussion.

      (7) To address these discrepancies, the authors should: i) emphasize that simulated rates serve as qualitative indicators of scrambling competence rather than absolute values comparable to experimental findings and ii) discuss potential reasons for the divergence, such as simulation timescale limitations or lipid bilayer compositions that may favor scrambling and force field inaccuracies.

      Please see our answer to question 6. Within the context of our CGMD survey, we confidently call our results quantitative. However, we agree with the reviewer that comparison with experimental scrambling rates is qualitative and should be interpreted with caution. To reflect this, we rewrote the first sentence of the relevant paragraph in the discussion section.

      (8) Line 310: Can the authors provide a rationale as to why one monomer has a wider groove than the other? Perhaps a contact analysis could be useful. See the comment above about ENM.

      The simulation of Ca2+-bound TMEM16K was initiated from an asymmetric X-ray structure in which chain B features a more dilated groove than chain A (PDB 5OC9). The backbones of TM4 and TM6 in the closed groove (A) are close enough together to be directly interconnected by the elastic network. In contrast, TM4 and TM6 in the more dilated subunit (B) are not restricted by the elastic network and, as a consequence, display some “breathing” behavior (Fig. 3B and Fig. 3-Suppl. 6A), giving rise to a ~4x higher scrambling rate. We explicitly added the word “cryo-EM” and the PDB ID to the sentence to emphasize that the asymmetry stems from the original experimental structure.

      When answering this question, we also corrected a mislabeled chain identifier which was in the original manuscript ‘chain A’ when it is actually ‘chain B’ in Fig.2-Suppl. 3A.

      (9) Line 312: Authors speculate that increased groove width likely accounts for increased scrambling rates. For statistical significance, authors should attempt to correlate scrambling rates and groove width over the simulation period.

      The Reviewer is referring to our description of scrambling rates we measured for TMEM16K where we noted that on average the groove with the highest scrambling rate is also on average wider than the opposite subunit which is below 6 Å. We do not suggest that the correlation between scrambling and groove width is continuous, as the Reviewer may have interpreted from our original submission, but we think it is a binary outcome – lipids cannot easily enter narrow grooves (< 6 Å) and hence scrambling can only occur once this threshold is reached at which point it occurs at a near constant rate. We showed this for 4 different family members in the original Fig. 3B, where scrambling events (black dots) were much more likely during, or right after, groove dilation to distances > 6 Å. 

      (10) Line 359: Authors have plotted the minimum distance between residues TM4 and TM6 in Fig. 3A/B, claiming that a wide groove is required for scrambling. Upon closer examination, it is clear that several of these distributions overlap, reducing the statistical significance of these claims. Statistical tests (i.e. KS-tests) should be performed to determine whether the differences in distributions are significant.

      The Reviewer appears to be asking for a statistical test between the six distance distributions represented by the data in Fig. 3A for the scrambling competent structures (6QP6*, 8B8J, 6QM6, 7RXG, 4WIS, 5OC9), and we think this is being asked because it is believed that we are making a claim that the greater the distance, the greater the scrambling rate. If we have interpreted this comment correctly, we are not making this claim. Rather, we are simply stating that we only observe robust scrambling when the groove width regularly separates beyond 6 Å. The full distance distributions can now be found in Figure 3-figure supplement 6B, and we agree there is significant overlap between some of these distributions. However, the distinguishing characteristic of the 6 distributions from scrambling competent proteins is that they all access large distances, while the others do not. Notably, TMEM16F proteins (6QP6*, 8B8J) are below the 6 Å threshold on average, but they have wide standard deviations and spend well over ¼ of their time in the permissive regime (the upper error bar in the whisker plots in Fig. 3A is the 75% boundary).

      (11) Line 363-364: The authors state that all TMEM16 structures thin the membrane. Could the authors include a description of how membrane thinning is calculated, for instance, is the entire membrane considered, or is thinning calculated on a membrane patch close to the protein? Do membrane patches closer to the transmembrane protein increase or decrease thickness due to hydrophobic packing interactions? The latter question is of particular concern since Martini3 has been shown to induce local thinning of the membrane close to transmembrane helices, yielding thicknesses 2-3 Å thinner than those reported experimentally (https://doi.org/10.1016/j.cplett.2023.140436). This could be an important consideration in the authors' comparison to the bulk membrane thickness (line 364). Finally, how is the 'bulk membrane thickness' measured (i.e., from the CG simulations, from AA simulations, or from experiments)?

      Regarding the calculation of thinning and bulk membrane thickness, as described in Method “Quantification of membrane deformations”, the minimal membrane thickness, or thinning, is defined as the shortest distance between any two points from the interpolated upper and lower leaflet surfaces constructed using the glycerol beads (GL1 and GL2). Bulk membrane thickness is calculated by taking the vertical distance between the averaged glycerol surfaces at the membrane edge.

      The concern of localized membrane deformation due to force field artifacts is well-founded. However, the sinusoidal deformations shown here are much greater than 2-3 Å Martini3 imperfections, and they extend for up to 10 Å radially away from the protein into the bulk membrane (see Figure 3-figure supplement 1-5 for more of a description). Most importantly, the sinusoidal wave patterns set up by the proteins is very similar to those described in the previous continuum calculation and all-atom MD for nhTMEM16 (https://www.pnas.org/doi/full/10.1073/pnas.1607574113).

      (12) Line 374: The authors state a 'positive correlation' between membrane thinning/groove opening and scrambling rates. To support this claim, the authors should report. the correlation coefficients.

      We have removed any discussion concerning correlations between the magnitude of the scrambling rate and the degree of membrane thinning/groove opening. Rather we simply state that opening beyond a threshold distance is required for robust scrambling, as shown in our analysis in Fig. 3A.

      Concerning the relation between thinning and scrambling: Instantaneous membrane thinning is poorly defined (because it is governed by fluctuations of single lipids), and therefore difficult to correlate with the timing of individual scrambling events in a meaningful way.  Moreover, as we state later in that same section, “we argue that the extremely thin membranes are likely correlated with groove opening, rather than being an independent contributing factor to lipid scrambling”.

      (13) Line 396: It is stated that TMEM16A is not a scramblase but the simulating scrambling activity is not zero. How can you be sure that you are monitoring the correct collective variable if you are getting a false positive with respect to experiments?

      We only observe 2 scrambling events in 10 ms, which is a very small rate compared to the scrambling competent states. In a previous large survey Martini CG simulation study that inspired our protocol (Li et al, PNAS 2024), they employed a 1 event/ms cut-off to distinguish scramblers from non-scramblers. Hence, they would have called TMEM16A a non-scrambler as well. We expect that false negatives in this context might be an artifact of the CG forcefield, or it could be that TMEM16A can scramble but too slowly to be experimentally detected. Regarding the collective variable for lipid flipping, it is correct, and we know that this lipid actually flipped.

      (14) Line 402: Distance distributions for the electrostatic interactions between E633 and K645 should be included in the manuscript. This is also the case for the interactions between E843-K850 (lines 491-492).

      Our description of interactions between lipid headgroups and E633 and K645 in TMEM16A (5OYB*) are based on qualitative observations of the MD trajectory, and we highlight an example of this interaction in Figure 3-video 4. The video clearly shows that the lipid headgroups in the center of the groove orient themselves such that the phosphate bead (red) rests just above K645 (blue) and at other times the choline bead (blue) rests just below E633 (red). We do not think an additional plot with the distance distributions between lipids and these residues will add to our understanding of how lipids interact residues in the TMEM16A pore.

      We made a similar qualitative observation for the interaction between the POPC choline to E843 and POPC phosphate to K850 while watching the AAMD simulation trajectory of TMEM16F (PDB ID 6QP6). Given that this was a single observation, and the same interactions does not appear in CG simulation of the same structure (see simulation snapshots in Figure 4-figure supplement 5) we do not think additional analysis would add significantly to our understanding of which residues may stabilize lipids in the dimer interface.

      (15) Lines 450-451: 'As the groove opens, water is exposed to the membrane core and lipid headgroups insert themselves into the water-filled groove to bridge the leaflets.' Is this a qualitative observation? Could the authors report the correlation between groove dilation and the number of water permeation events?

      Yes, this is qualitative, and it sketches the order of events during scrambling, and we revised the main text starting at line 450 to indicate this. As illustrated by the density isosurfaces in Appendix 1-Figure 2A, the amount of water found in the closed versus open grooves is striking – there is a significant flood of water that connects the upper and lower solutions upon groove opening. Moreover, Appendix 1-Figure 2B shows much greater water permeation for open structures (4WIS, 7RXG, 5OC9, 8B8J, …) compared to closed structures (6QMB, 6QMA, 8B8Q, and many of the non-labeled data in the figure that all have closed grooves and near 0 water permeation). A notable exception is TMEM16A (7ZK3*8), which has water permeation but a closed groove and little-to-no lipid scrambling.

      Minor Comments:

      (1) Inconsistent use of '10' and 'ten' throughout.

      We like to kindly point out that we do not find examples of inconsistent use.

      (2) Line 32: 'TM6 along with 3, 4 and 5...' should be 'TM6 along with TM3, TM4 and TM5...'. Same in line 142. Naming should stay consistent.

      Changes are reflected in the updated manuscript.

      (3) Line 141: do you mean traverse (i.e. to travel across)? Or transverse (i.e. to extend across the membrane)?

      This is a typo. We meant “traverse”. Thanks for pointing it out.

      (4) Line 142: 'greasy' should be 'strongly hydrophobic'.

      Changes are reflected in the updated manuscript.

      (5) Line 143-144: "credit card mechanism" requires quotation marks.

      Changes are reflected in the updated manuscript.

      (6) Line 144: state if Nectria haematococca is mammalian or fungal, this is not obvious for all readers.

      Changes are reflected in the updated manuscript.

      (7) Line 147-148: Is TMEM16A/TMEM16K fungal or mammalian? What was the residue before the mutation and which residue is mutated? Perhaps the nomenclature should read as TMEM16X10Y where X=the residue prior to the mutation, 10 is a placeholder for the residue number that is mutated and Y=the new residue following mutation.

      “TMEM16” is the protein family. “A” denotes the specific homolog rather than residue.  

      (8) Lines 157-158: same as 10, it is unclear if these are fungal or mammalian.

      Clarifications added.

      (9) Line 184: "...CGMD simulation" should be "...CGMD simulations".

      Changes made.

      (10) Line 191-192: It would help to create a table of all of the mutants (including if they are mammalian or fungal) summarizing the salt concentrations, lipid and detergent environments, the presence of modulators/activators, etc.

      We added this information to Appendix 1-Table 1 in the supplemental information. We did not specify NaCl concentrations, because they all experimental procedures used standard physiological values for this (100-150 mM).

      (11) Line 210: inconsistencies with 'CG' and 'coarse-grain'.

      Changes made.

      (12) Figure 1 caption: '...totaling ~2μs (B)...' is missing the fullstop after 2μs.

      Changes made.

      (13) Figure 1B: it may be useful to label where the Ca2+ ion binds or include a schematic.

      We updated Fig. 1A to illustrate where Ca2+ binds.

      (14) Line 311: Are these mean distances? The authors should add standard deviations.

      Yes, they are. We added the standard deviations to the text.

      (15) Line 321-322: Perhaps a schematic in Figure 2 would be useful to visualize the structural features described here.

      We would kindly refer interested readers to reference [60].

      (16) Line 377: '...are likely a correlate of groove opening...' should read as: '...are likely correlated to groove opening...'.

      Thank you for pointing it out. Changes made.

      (17) Line 398: the '...empirically determined 6Å threshold for scrambling.' Was this determined from the simulations or from experiments? What does "empirically" mean here? Please state this.

      This value was determined from the simulations. Based on our analysis of the correlation between scrambling rate and groove dilation, we found that the minimal TM4/6 distance of 6 Å can distinguish between the high and low activity scramblers. The exact numerical value is somewhat arbitrary as there is a range of values around 6 Å that serve to distinguish scramblers from non-scramblers.

      (18) Figure 4: This figure should be labelled as A, B, C and D, with the figure caption updated accordingly.

      We updated Figure 4 and its caption.

      Reviewer #3 (Recommendations for Authors):

      The authors must do additional simulations to further validate their claim with different lipids and further substantiate dimer interface independent of Ca2+ ions.

      Thank you for the suggestion. We completely agree that studying scrambling in the context of a diverse lipid environment is an exciting area to explore. We are indeed actively working on a project that shares the similar idea. We decided not to include that study because we think the additional discussion involved would be excessive for the current manuscript. We, however, look forward to publishing our findings in a separate manuscript in the near future. In terms of Ca2+-independent scrambling, we are planning with our experimental collaborator for mutagenesis studies that target the residues we identified along the dimer interface.

      Since calcium ions are critical for the stability of these structures, authors should show that they were placed throughout the simulations consistently.

      As stated in the method section “Coarse-grained system preparation and simulation detail”, all Ca2+ ions are manually placed into the coarse-grained structure from the beginning of the simulation at their identical corresponding position in the experimental structure and harmonically bonded to adjacent acidic residues throughout the duration of simulation. We have also added a label to Fig 1A to indicate where the two Ca2+ ions are located.

      The comparison with experimental structures should be consistent with complete simulation, and not the last structure of the trajectory. Depending on the conformational variability, this might be misleading.

      We agree and updated Fig. 1-supplement figure 1 accordingly. The overall agreement between membrane shapes in CGMD and cryo-EM was not affected by this change.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Review:

      Reviewer #1 (Public review):

      Summary:

      Meteorin proteins were initially described as secreted neurotrophic factors. In this manuscript, Eggeler et al. demonstrate a novel role for Meteorins in establish left-right axis formation in the zebrafish embryo. The authors generated null mutations in each of the three zebrafish meteorin genes - metrn, metrnla, and metrnlab. Triple mutant embryos displayed phenotypes strongly associated with left-right defects such as heart looping and visceral organ placement, and disrupted expression of Nodal-responsive genes, as did single mutants for metrn and metrnla. The authors then go on to demonstrate that these defects in left-right asymmetry are likely to due to defects in Kupffer's Vesicle and the progenitor dorseal forerunner cells including impaired lumen formation and reduced fluid flow, reduced clustering among DFCs, impaired DFC migration, mislocalization of apical proteins ZO-1 and aPKC, and detachment of DFCs from the EVL. Notably, the authors found that expression of marker genes sox32 and sox17 were not affected, suggesting Meteorins are required for DFC/KV morphogenesis but not necessarily fate specification. Finally, the authors show genetic interaction between Meteorins and integrin receptors, which were previously implicated in left-right patterning. In a supplemental figure, the manuscript also presents data showing expression of meteorin genes around the chick Hensen's node, suggesting that the left-right patterning functions may be conserved among vertebrates.

      Strengths:

      Strengths of this study include the generation of a triple mutant line that targets all known zebrafish meteorin family members. The experiments presented in this study were rigorous, especially with respect to quantification and statistical analysis.

      Weaknesses:

      Although the authors convincingly demonstrate a role for Meteorins in zebrafish left-right patterning, data supporting a conserved role in other vertebrates is compelling but limited to one supplemental figure.

      We thank the reviewer for their thoughtful summary of our study and for highlighting the strengths of our work, including the generation of the triple mutant line and the rigor of our experimental design and quantitative analyses. We also appreciate the constructive feedback regarding the limited functional data supporting the conservation of Meteorin function in other vertebrates. We agree that this is an important aspect that could be further explored. While functional studies in additional species are beyond the current scope, we will consider such experiments in future work.

      We would like to highlight the phylogenetic analysis of Meteorin proteins we have already performed and included in the manuscript (Fig. S7D), which illustrates the evolutionary conservation of this protein family and supports the possibility of a conserved role in left-right patterning.

      Additionally, we have expanded the methods and discussion to include: (1) details on zebrafish viability in contrast to reported embryonic lethality in metrn mutant mice, (2) the background strains used in our study, (3) observed variability in DFC number and potential batch effects and (4) clarification of our 'convergence ratio' quantification approach.

      Reviewer #2 (Public review):

      Summary:

      In this manuscript the authors describe their study on the role of meteorins in establishing the left-right organizer. The left-right organizer is a transient organ in vertebrate embryos in which rotating cilia cause a fluid flow that breaks the left-right symmetry and coordinates lateralization of internal organs such as gut and heart. In zebrafish, the left-right organizer (also named Kupffer's vesicle) is formed by dorsal forerunner cells, but very little is known about how dorsal forerunner cells coalles and form this ciliated vesicle in the embryo. The authors mutated the three meteorin-coding genes in zebrafish and observed that mutations in each one of these causes laterality defects with the strongest defects observed in the triple mutant. Loss of meteorins affects nodal gene expression, which play essential roles in establishing organ laterality. Meteorins are widely expressed in developing embryos and expression in lateral plate mesoderm and dorsal forerunner cells was observed. The meteorin triple mutant embryos display defects in the migration and clustering of the dorsal forerunner cells impairing kupffer's vesicle formation and cilia rotation. Finally, the authors show that meteorins genetically interact with integrins.

      Strengths:

      - These authors went through the lengthy process of generating triple mutants affecting all three meteorin genes. This provides robust genetic evidence on the role of meteorins in establishing organ laterality and circumvented that interpretation of the results would be hard due to redundant functions of meteorins.

      - The use of life imaging on triple mutants is appreciated

      - High-quality imaging of dorsal forerunner to quantify cell migrations and its relation to Kupffer's vesicle formation.

      Weaknesses:

      - Lack of a model how meteorins regulate dorsal forerunner cell migration.

      - Only genetic data to suggest a link between meteorins and integrins

      - Besides its role in DFC migration, meteorins may also play a more direct role in regulating Nodal signaling, which is not addressed here.

      We appreciate the recognition of the strengths of our study, particularly the generation of the triple meteorin mutants and the use of high-resolution imaging to quantify DFC behavior and Kupffer’s vesicle formation—both of which were central to providing robust evidence for Meteorins' role in left-right patterning.

      We also value the reviewer’s comments on areas that need further exploration, including the need for a mechanistic model explaining how Meteorins regulate DFC migration, the genetic interaction with integrins, and the potential direct involvement of Meteorins in Nodal signaling.

      We agree that deeper mechanistic insights would strengthen the study. While our findings suggest that Meteorins influence DFC migration and clustering through integrin pathways, a detailed mechanistic dissection, particularly regarding the yet unidentified Meteorin receptor, lies beyond the current scope. However, we consider this a key aspect for future research and have discussed it further in the revised discussion section.

      In response to the reviewer’s suggestions, we have expanded the discussion to address the limitations of the current data linking Meteorins and integrins, including relevant citations to studies that implicate integrins in similar contexts. Additionally, we have added a more detailed discussion of the potential for Meteorins to directly influence Nodal signaling, and we cite a relevant study to support this possibility.

      Once again, we thank the reviewer for their insightful and constructive comments. These points raise important directions for future investigation that will further advance our understanding of Meteorin function in left-right axis formation.

      Recommendations for the authors:

      Reviewer #1 (Recommendations for the authors):

      In the Results section (p. 9), the authors state, "...a reduced ZO-1 enrichment at the apical junctions of triplMUT GFP-positive DFCs could be detected." However, in Fig. 4F-G, the areas of ZO-1 enrichment indicated by arrowheads appear quite far from the DFCs themselves, making it unclear if these ZO-1-enriched areas are apical DFC junctions (as stated in the text) or instead are part of the EVL. Is it possible to include an additional cell membrane marker or other landmarks? In addition, the differences in ZO-1 accumulation between mutants and WT appear relatively modest. Is it possible to provide quantification of this effect?

      We appreciate the reviewer’s request for additional stainings and further clarification and we would like to highlight the requested quantifications of ZO-1 accumulation, including statistical analysis, are already provided in Fig. S5E.

      In mouse, loss of Meteorin is embryonic lethal yet the zebrafish triple mutants are viable. Could the authors discuss this discrepancy?

      We have expanded the discussion to address this point, suggesting that species-specific differences in compensatory mechanisms may explain the observed differences in viability. We would like to reiterate that while one study has reported embryonic lethality in metrn mutant mice, this specific mouse line has not been further investigated in any recent publications. Additionally, in collaboration with the lab of Alain Chédotal, we generated independent metrn and metrnl mutant mouse lines, which did not exhibit the phenotype described in the previously mentioned study.

      It has been reported that TL and AB strains exhibit variable numbers of DFCs and thus laterality defects (Moreno-Ayala et al., 2021, Cell Reports 34(2):108606). Would it be possible for the authors to report background stains used in this study and those used to generate the meteorin knock-outs?

      We appreciate the comment highlighting the importance of specifying the background strains used in our study. We have now included this information in the methods section, detailing the zebrafish strains utilized throughout our experiments.

      For statistical analysis, would be possible for the authors to report the number of clutches examined to control for batch effects (especially given the wide variability in DFC numbers as noted above)?

      For further clarification, we have now included additional explanation on number of clutches in the methods section.

      In the Methods section (p. 19), the description of how the convergence ratio was computed was somewhat unclear. Could the authors provide a citation or include a diagram/schematic?

      We have revised the Methods section to provide a clearer definition of the convergence ratio and have included a schematic (Fig. 4D) to illustrate how it was calculated.

      Reviewer #2 (Recommendations for the authors):

      - Meteorins are widely expressed in the embryo. Can the authors comment on whether meteorin expression is required in the dorsal forerunner cells (DFCs) or in other cells? This could be addressed by knockdown experiments in DFCs as described by others (PMID: 15716348)

      We thank the reviewer for this important comment. In our study, we have shown that Meteorins are not required for the identity of DFCs, as several DFC-specific markers remain expressed in the respective cells within the meteorin mutant background (see Fig. S4).

      - In fig1d and 1e the authors use heterotaxy to describe visceral organ placement. The embryo shown in 1d seems to display situs inversus instead of heterotaxy, which is defined as discordance in organ position. The authors should clarify this.

      We agree with the reviewer and have revised the figures and figure legends to clarify the distinction between situs inversus and heterotaxy.

      - In Fig2 the authors show that nodal pathway genes are reduced, suggesting reduced Nodal signaling. How do they explain this as loss of cilia rotation generally leads to randomization of Nodal signaling but not a reduction in signaling.

      Following this suggestion we have now added a further discussion on the possibility that Meteorins could directly regulate Nodal signaling in addition to their role in DFC migration and have cited a relevant study.

      - Reduced Nodal signaling in the LPM leads to organ laterality defects. Most anterior tissues like the heart are more sensitive to perturbation in Nodal signaling in the LPM compared to more posterior organs like gut (see also PMID: 25684355). Since in triple mutants the position of the heart is more affected than the position of the visceral organs this suggests that meteorins play an additional role in Nodal signaling in the LPM. As others have shown that meteorins regulate nodal activity (PMID: 24558432), the authors should address this further.

      As described above, we have now added a further discussion on the possibility that Meteorins could directly regulate Nodal signaling in addition to their role in DFC migration and have cited a relevant study. Further investigation into a possible direct role of Meteorins in Nodal signaling will be pursued in future work.

      - The term 'convergence ratio' is not clearly described and confusing as convergence is also used for the movement of LPM cells towards the midline.

      As noted in response to Reviewer #1, we have revised the Methods section and included a schematic in Fig. 4D to better explain this parameter.

      We are grateful for the thoughtful critiques from both reviewers, which have been very constructive and improved the clarity of our study. We believe that the revisions we have made address the concerns raised, and we look forward to your evaluation of our revised manuscript.

    1. Reviewer #1 (Public review):

      This is a revision of a manuscript previously submitted to Review Commons. The authors have partially addressed my comments, mainly by expanding the introduction and discussion sections. Sandy Schmid, a leading expert on the AP2 adaptor and CME, has been added as a co-corresponding author. The main message of the manuscript remains unchanged. Through overexpression of fluorescently tagged CCDC32, the authors propose that, in addition to its established role in AP2 assembly, CCDC32 also follows AP2 to the plasma membrane and regulates CCP maturation. The manuscript presents some interesting ideas, but there are still concerns regarding data inconsistencies and gaps in the evidence.

      (1) eGFP-CCDC32 was expressed at 5-10 times higher levels than endogenous CCDC32. This high expression can artificially drive CCDC32 to the cell surface via binding to the alpha appendage domain (AD)-an interaction that may not occur under physiological conditions.

      (2) Which region of CCDC32 mediates alpha AD binding? Strangely, the only mutant tested in this work, Δ78-98, still binds AP2, but shifts to binding only mu and beta. If the authors claim that CCDC32 is recruited to mature AP2 via the alpha AD, then a mutant deficient in alpha AD binding should not bind AP2 at all. Such a mutant is critical for establish the model proposed in this work.

      (3) The concept of hemicomplexes is introduced abruptly. What is the evidence that such hemicomplexes exist? If CCDC32 binds to hemicomplexes, this must occur in the cytosol, as only mature AP2 tetramers are recruited to the plasma membrane. The authors state that CCDC32 binds the AD of alpha but not beta, so how can the Δ78-98 mutant bind mu and beta?

      (4) The reported ability of CCDC32 to pull down AP2 beta is puzzling. Beta is not found in the CCDC32 interactome in two independent studies using 293 and HCT116 cells (BioPlex). In addition, clathrin is also absent in the interactome of CCDC32, which is difficult to reconcile with a proposed role in CCPs. Can the authors detect CCDC32 binding to clathrin?

      (5) Figure 5B appears unusual-is this a chimera? Figure 5C likely reflects a mixture of immature and mature AP2 adaptor complexes.

      (6) CCDC32 is reduced by about half in siRNA knockdown. Why not use CRISPR to completely eliminate CCDC32 expression?

    1. Author Response:

      We sincerely thank the reviewers and the editorial team for their thoughtful and constructive evaluation of our manuscript. We are very pleased that both reviewers and the Reviewing Editor found the work to be compelling and of interest to the community studying membrane-associated condensates. Below we outline our planned revisions in response to the public reviews.

      Reviewer #1

      We appreciate Reviewer #1’s positive evaluation of the study’s significance and the utility of our theoretical framework.

      1. Understandably, the authors used one system to test their theory (ZO-1). However, to establish a theoretical framework, this is sufficient.

      Response: We acknowledge this limitation. While we agree that additional systems would strengthen the generality of our theory, we note that the focus of this work is to introduce and validate a theoretical framework. As the reviewer notes, this is sufficient for establishing the framework. Nonetheless, we are open to further collaborations or future studies to test the model with other systems.

      Reviewer #2

      We are grateful for Reviewer #2’s detailed comments and will address each of the points as follows:

      1. In the theoretical section, what has previously been known, compared to which equations are new, should be made more clear.

      Response: We will revise the theory section to clearly distinguish previously established formulations from novel contributions.

      1. Some assumptions in the model are made purely for convenience and without sufficient accompanying physical justification. E.g., the authors should justify, on physical grounds, why binding rate effects are/could be larger than the other fluxes.

      Response: We will expand the discussion to provide key physical justification, especially to explain why binding rate effects are/could be larger than the other fluxes.

      1. I feel that further mechanistic explanation as to why bulk phase separation widens the regime of surface phase separation is warranted.

      Response: We will elaborate on the mechanism underlying this coupling.

      1. The major advantage of the non-dilute theory as compared with a best parameterized dilute (or homogenous) theory requires further clarification/evidence with respect to capturing the experimental data.

      Response: We will clarify this comparison more explicitly and highlight how the non-dilute model captures key nonlinear behaviors and concentration-dependent adsorption phenomena that the dilute model fails to reproduce.

      1. Discrete (particle-based) molecular modelling could help to delineate the quantitative improvements that the non-dilute theory has over the previous state-of-the-art. Also, this could help test theoretical statements regarding the roles of bulk-phase separation, which were not explored experimentally.

      Response:  We appreciate the suggestion and agree that such modeling would be valuable. However, this is beyond the scope of the current study. We will add a discussion on how discrete simulations could be used to further test our theory in future work.

      1. Discussion of the caveats and limitations of the theory and modelling is missing from the text.

      Response:  We will add a paragraph outlining caveats and limitations of the modelling.

      We believe these changes will significantly improve the clarity and impact of our manuscript, and we thank the reviewers again for their valuable input.

    2. Reviewer #2 (Public review):

      Summary:

      The authors present a clear expansion of biophysical (thermodynamic) theory regarding the binding of proteins to membrane-bound receptors, accounting for higher local concentration effects of the protein. To partially test the expanded theory, the authors perform in vitro experiments on the binding of ZO1 proteins to Claudin2 C-terminal receptors anchored to a supported lipid bilayer, and capture the effects that surface phase separation of ZO1 has on its adsorption to the membrane.

      Strengths:

      (1) The derived theoretical framework is consistent and largely well-explained.

      (2) The experimental and numerical methodologies are transparent.

      (3) The comparison between the best parameterized non-dilute theory is in reasonable agreement with experiments.

      Weaknesses:

      (1) In the theoretical section, what has previously been known, compared to which equations are new, should be made more clear.

      (2) Some assumptions in the model are made purely for convenience and without sufficient accompanying physical justification. E.g., the authors should justify, on physical grounds, why binding rate effects are/could be larger than the other fluxes.

      (3) I feel that further mechanistic explanation as to why bulk phase separation widens the regime of surface phase separation is warranted.

      (4) The major advantage of the non-dilute theory as compared with a best parameterized dilute (or homogenous) theory requires further clarification/evidence with respect to capturing the experimental data.

      (5) Discrete (particle-based) molecular modelling could help to delineate the quantitative improvements that the non-dilute theory has over the previous state-of-the-art. Also, this could help test theoretical statements regarding the roles of bulk-phase separation, which were not explored experimentally.

      (6) Discussion of the caveats and limitations of the theory and modelling is missing from the text.

    1. § 6º
      • A teoria da culpa do serviço, também chamada de culpa administrativa, ou teoria do acidente administrativo, procura desvincular a responsabilidade do Estado da ideia de culpa do funcionário. Passou a falar em culpa do serviço público.

      • Distinguia-se, de um lado, a culpa individual do funcionário, pela qual ele mesmo respondia, e, de outro, a culpa anônima do serviço público; nesse caso, o funcionário não é identificável e se considera que o serviço funcionou mal; incide, então, a responsabilidade do Estado.

      • Essa culpa do serviço público ocorre quando: o serviço público não funcionou (omissão), funcionou atrasado ou funcionou mal. Em qualquer dessas três hipóteses, ocorre a culpa (faute) do serviço ou acidente administrativo, incidindo a responsabilidade do Estado independentemente de qualquer apreciação da culpa do funcionário.

      • Sem abandonar essa teoria, o Conselho de Estado francês passou a adotar, em determinadas hipóteses, a teoria do risco, que serve de fundamento para a responsabilidade objetiva do Estado.

      • Essa doutrina baseia-se no princípio da igualdade de todos perante os encargos sociais e encontra raízes no art. 13 da Declaração dos Direitos do Homem, de 1789, segundo o qual “para a manutenção da força pública e para as despesas de administração é indispensável uma contribuição comum que deve ser dividida entre os cidadãos de acordo com as suas possibilidades”. O princípio significa que, assim como os benefícios decorrentes da atuação estatal repartem-se por todos, também os prejuízos sofridos por alguns membros da sociedade devem ser repartidos. Quando uma pessoa sofre um ônus maior do que o suportado pelas demais, rompe-se o equilíbrio que necessariamente deve haver entre os encargos sociais; para restabelecer esse equilíbrio, o Estado deve indenizar o prejudicado, utilizando recursos do erário.

      • Nessa teoria, a ideia de culpa é substituída pela de nexo de causalidade entre o funcionamento do serviço público e o prejuízo sofrido pelo administrado. É indiferente que o serviço público tenha funcionado bem ou mal, de forma regular ou irregular. Constituem pressupostos da responsabilidade objetiva do Estado: (a) que seja praticado um ato lícito ou ilícito, por agente público; (b) que esse ato cause dano específico (porque atinge apenas um ou alguns membros da coletividade) e anormal (porque supera os inconvenientes normais da vida em sociedade, decorrentes da atuação estatal); (c) que haja um nexo de causalidade entre o ato do agente público e o dano.

      • É chamada teoria da responsabilidade objetiva, precisamente por prescindir da apreciação dos elementos subjetivos (culpa ou dolo); é também chamada teoria do risco, porque parte da ideia de que a atuação estatal envolve um risco de dano, que lhe é inerente. Causado o dano, o Estado responde como se fosse uma empresa de seguro em que os segurados seriam os contribuintes que, pagando os tributos, contribuem para a formação de um patrimônio coletivo (cf. Cretella Júnior, 1970, v. 8, p. 69-70).

      • O Código Civil acolheu expressamente a teoria da responsabilidade objetiva, ligada à ideia de risco. Em consonância com o art. 927, parágrafo único, “haverá obrigação de reparar o dano, independentemente de culpa, nos casos especificados em lei, ou quando a atividade normalmente desenvolvida pelo autor do dano implicar, por sua natureza, risco para os direitos de outrem”.

      • Segundo Hely Lopes Meirelles (2003:623), a teoria do risco compreende duas modalidades: a do risco administrativo e a do risco integral; a primeira admite (e a segunda não) as causas excludentes da responsabilidade do Estado: culpa da vítima, culpa de terceiros ou força maior.

      (PIETRO, Maria Sylvia Zanella D. Direito Administrativo - 38ª Edição 2025. 38. ed. Rio de Janeiro: Forense, 2025. E-book. p.741. Acesso em: 02 jun. 2025.)


      • a responsabilidade do concessionário por prejuízos causados a terceiros, em decorrência da execução de serviço público, é objetiva, nos termos do art. 37, § 6º, da Constituição vigente, que estendeu essa norma às pessoas jurídicas de direito privado prestadoras de serviços públicos; o poder concedente responde <u>subsidiariamente</u>, em caso de insuficiência de bens da concessionária; mas essa responsabilidade subsidiária somente se aplica em relação aos prejuízos decorrentes da execução do serviço público; eventualmente, pode haver responsabilidade solidária, por má escolha da concessionária ou omissão quanto ao dever de fiscalização;

      (PIETRO, Maria Sylvia Zanella D. Direito Administrativo - 38ª Edição 2025. 38. ed. Rio de Janeiro: Forense, 2025. E-book. p.307. ISBN 9788530995935. Acesso em: 11 jun. 2025.)


      • A teor do disposto no artigo 37, § 6º, da Constituição Federal, a ação por danos causados por agente público deve ser ajuizada contra o Estado ou a pessoa jurídica privada prestadora de serviço público, sendo parte ilegítima passiva o autor do ato. [RE 1.027.633, voto do rel. min. Marco Aurélio, j. 14-8-2019, P, DJE de 6-12-2019, Tema 940]
      • O inadimplemento dos encargos trabalhistas dos empregados do contratado não transfere automaticamente ao poder público contratante a responsabilidade pelo seu pagamento, seja em caráter solidário ou subsidiário, nos termos do art. 71, § 1º, da Lei 8.666/1993. [RE 760.931, red. do ac. min. Luiz Fux, j. 26-4-2017, P, DJE de 12-9-2017, Tema 246.]
      • Para que fique caracterizada a responsabilidade civil do Estado por danos decorrentes do comércio de fogos de artifício, é necessário que exista a violação de um dever jurídico específico de agir, que ocorrerá quando for concedida a licença para funcionamento sem as cautelas legais ou quando for de conhecimento do poder público eventuais irregularidades praticadas pelo particular. [RE 136.861, red. do ac. min. Alexandre de Moraes, j. 11-3-2020, P, DJE de 13-8-2020 Tema 366.]

      • Informativo nº 740
      • 13 de junho de 2022.
      • SEGUNDA TURMA
      • Processo: REsp 1.708.325-RS, Rel. Min. Og Fernandes, Segunda Turma, por unanimidade, julgado em 24/05/2022.

      Ramo do Direito DIREITO ADMINISTRATIVO

      Responsabilidade civil do Estado por omissão. Morte em decorrência de disparo de arma de fogo no interior de hospital público. Ausência de vigilância. Falha específica no dever de agir. Excludente de ilicitude. Fato de terceiro. Não ocorrência.

      DESTAQUE - O hospital que deixa de fornecer o mínimo serviço de segurança, contribuindo de forma determinante e específica para homicídio praticado em suas dependências, responde objetivamente pela conduta omissiva.

      INFORMAÇÕES DO INTEIRO TEOR - A responsabilidade civil estatal é, em regra, objetiva e decorre do risco administrativo, a respeito da qual não se exige perquirir sobre existência de culpa, conforme disciplinado pelos arts. 14 do Código de Defesa do Consumidor; 186, 192 e 927 do Código Civil; e 37, § 6º, da Constituição Federal. O dualismo ocorre diante dos atos omissivos, para os quais, embora a lei não tenha feito distinção, há os que entendem que, para o ente público, a responsabilidade se reveste do caráter subjetivo.

      • Na toada, entretanto, de que, conforme assevera a doutrina, "não é dado ao intérprete restringir onde o legislador não restringiu, sobretudo em se tratando de legislador constituinte", esta Corte, em diversos julgados, tem procurado alinhar-se ao entendimento do Excelso Pretório de que - inclusive por atos omissivos - o Poder Público responde de forma objetiva, quando constatada a precariedade/vício no serviço decorrente da falha no dever legal e específico de agir.

      • No caso, trata-se de responsabilidade civil atribuída a hospital, em que a atividade pública exercida, por sua natureza, inclui, além do serviço técnico-médico, o serviço auxiliar de estadia e, por tal razão, está o ente público obrigado a disponibilizar equipe/pessoal e equipamentos necessários e eficazes para o alcance dessa finalidade.

      • A inação estatal está atrelada ao mau funcionamento dos trabalhos auxiliares e estruturas operacionais (ausência de serviço/pessoal de vigilância), razão pela qual entende-se que o ente público, em virtude da natureza da atividade pública exercida, responde de forma objetiva, uma vez que, inegavelmente, tem o dever de atuar, ao menos minimamente, para impossibilitar a ocorrência do evento nocivo.

      • A omissão do Estado no presente feito revela-se específica e contribuiu decisivamente para a morte da vítima, pois o hospital público não ofereceu nenhuma ou sequer a mínima garantia de integridade aos que se utilizam do serviço e pela qual, em razão do risco da atividade prestada, tem o dever de zelo e proteção.

      • Ocorre que a responsabilidade civil do Estado, todavia - seja de ordem subjetiva, seja objetiva - depende, para a configuração da ocorrência de seus pressupostos, do ato ilícito, do dano sofrido e do nexo de causalidade entre o evento danoso e a ação ou omissão do agente público.

      • Estão descritos na sentença e no acórdão, a saber: (a) o hospital não possui nenhum serviço de vigilância; e (b) o evento morte decorreu de um disparo com arma de fogo contra a vítima dentro do hospital.

      • O Tribunal regional - a despeito de a vítima ter sido baleada e o óbito ter ocorrido no interior do hospital -, não considerou o fato de não existir serviço de vigilância; ao contrário, a Corte local afirma, categoricamente, que o serviço do hospital é somente o atendimento médico, razão pela qual estaria desobrigado de prestar segurança aos pacientes.

      • Concluiu-se, assim, que a morte da vítima deu-se por fato de terceiro.

      • Como observa-se, a Corte regional - embora tenha considerado não existir equipe responsável pela integridade física dos pacientes e transeuntes no local - afastou a responsabilidade civil, consignando, com base na teoria da causalidade adequada, que a ação de alguém mal intencionado, dentro do hospital público, teria o condão de romper o nexo de causalidade entre a conduta do hospital e o evento danoso.

      • Acaso se estivesse diante de um atentado de grandes proporções, não seria difícil concluir que, não obstante todo o empenho, o ente público não pudesse, de fato, impedir o resultado. Esta, entretanto, não é a situação narrada no acórdão, que traz, ao contrário, contexto e narrativa simples e bem menos eloquente.

      • Neste caso, a causalidade decorre da própria lógica hermenêutica e análise holística das disposições civis e constitucionais mencionadas, devendo ser examinada à luz dos referidos dispositivos.

      • A causalidade no âmbito da responsabilidade civil objetiva deve ser entendida de forma normativa, uma vez que a relevância jurídica do não-fazer está inserida na própria norma se encontra perfectibilizado o liame subjetivo entre a conduta omissa do hospital e o evento morte.

      • Há de se ressaltar, contudo, que esse entendimento não se aplica indistintamente a qualquer ato derivado de conduta omissiva da administração pública. Neste feito, sob as lentes do bom senso, o não-fazer do ente público no seu dever de cuidado é sobremaneira significativo. Mostra-se lógico concluir que uma mínima ação de vigilância e cuidado poderia efetivamente ter evitado a morte da vítima.

      • A análise da responsabilidade civil, no contexto desafiador dos tempos modernos, em que se colocam a julgamento as consequências tão impactantes das omissões estatais, impõe o ônus, indispensável, de que o exame dos dispositivos civis referidos ocorra sob o olhar dos direitos e garantias fundamentais do cidadão.

      • Logo, é de se concluir que a conduta do hospital que deixa de fornecer o mínimo serviço de segurança e, por conseguinte, despreza o dever de zelar pela incolumidade física dos seus pacientes contribuiu de forma determinante e específica para o homicídio praticado em suas dependências, afastando-se a alegação da excludente de ilicitude, qual seja, fato de terceiro.


      • RE 1209429
      • Órgão julgador: Tribunal Pleno
      • Relator(a): Min. MARCO AURÉLIO
      • Redator(a) do acórdão: Min. ALEXANDRE DE MORAES
      • Julgamento: 10/06/2021
      • Publicação: 20/10/2021

      EMENTA. CONSTITUCIONAL. RESPONSABILIDADE CIVIL DO ESTADO. PROFISSIONAL DE IMPRENSA FERIDO, EM SITUAÇÃO DE TUMULTO, DURANTE COBERTURA JORNALÍSTICA. CULPA EXCLUSIVA DA VÍTIMA. INOCORRÊNCIA. PROVIMENTO DO RECURSO EXTRAORDINÁRIO. 1. O Estado responde civilmente por danos causados a profissional de imprensa ferido pela polícia, durante cobertura jornalística de manifestação popular. A apuração da responsabilidade dá-se na forma da teoria do risco administrativo, pacificamente aceita pela jurisprudência e pela doutrina. 2. Admite-se a invocação da excludente de responsabilidade civil da culpa exclusiva da vítima, nas hipóteses em que em que o profissional de imprensa I - descumpra ostensiva e clara advertência sobre o acesso a áreas delimitadas em que haja grave risco à sua integridade física; ou II - participe do conflito com atos estranhos à atividade de cobertura jornalística. 3. No caso concreto, o Tribunal de origem reconheceu a referida excludente de responsabilidade, sem identificar quaisquer destas circunstâncias - mas unicamente pelo fato de o fotógrafo estar presente na manifestação. 4. A atuação dos profissionais de imprensa na apuração de informações relevantes para a sociedade é tutelada pela Constituição, não podendo ser alegada pela afastar a responsabilidade civil do Estado. 5. O pedido de pensão mensal vitalícia merece ser atendido, em face do grave comprometimento do exercício da atividade de fotojornalismo, após ter o autor perdido 90% da visão em um dos olhos. Já o valor fixado a título de indenização pelos danos morais mostra-se alinhado aos parâmetros adotados pela jurisprudência brasileira em casos análogos, não cabendo sua elevação. 6. Recurso Extraordinário a que se dá provimento. Tema 1055, fixada a seguinte tese de repercussão geral: "“É objetiva a Responsabilidade Civil do Estado em relação a profissional da imprensa ferido por agentes policiais durante cobertura jornalística, em manifestações em que haja tumulto ou conflitos entre policiais e manifestantes. Cabe a excludente da responsabilidade da culpa exclusiva da vítima, nas hipóteses em que o profissional de imprensa descumprir ostensiva e clara advertência sobre acesso a áreas delimitadas, em que haja grave risco à sua integridade física".

      Tese - É objetiva a Responsabilidade Civil do Estado em relação a profissional da imprensa ferido por agentes policiais durante cobertura jornalística, em manifestações em que haja tumulto ou conflitos entre policiais e manifestantes. Cabe a excludente da responsabilidade da culpa exclusiva da vítima, nas hipóteses em que o profissional de imprensa descumprir ostensiva e clara advertência sobre acesso a áreas delimitadas, em que haja grave risco à sua integridade física.

    1. Reforms

      English 中文 (Chinese) 1. Power Restructuring - Broke aristocratic strongholds by redefining political units - Made demes (villages/towns) the basic administrative units 1. 权力重组 - 通过 重构政治单元 瓦解贵族地方势力 - 确立 德谟(村镇)为基层行政单位 2. Tribal Reformation - Created 10 new tribes mixing: • Rural districts • Coastal areas • Urban Athens - Ensured each tribe represented all Attica 2. 部落重组 - 建立 10个新部落(融合三区域人口): • 内陆乡村 • 沿海地区 • 雅典城区 - 确保各部落代表整个阿提卡 3. Council of 500 - 50 members randomly selected annually per tribe - Managed foreign/financial affairs - Prepared agenda for Assembly 3. 五百人议事会 - 每部落 每年抽选50人 - 主管 外交/财政事务 - 为公民大会准备议程 4. Empowered Assembly - All male citizens: • Held final lawmaking authority • Engaged in open debate - Became true sovereign body 4. 公民大会扩权 - 全体男性公民: • 拥有 最终立法权 • 进行 公开辩论 - 成为最高权力机构 Core Insight Cleisthenes invented geographic representation to neutralize bloodline politics. His system ("demokratia" = people-power) became democracy’s blueprint

    1. Note: This response was posted by the corresponding author to Review Commons. The content has not been altered except for formatting.

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      Reply to the reviewers

      Reviewer #1

      Evidence, reproducibility and clarity

      In their manuscript de las Mercedes Carro et al investigated the role of Ago proteins during spermatogenesis by producing a triple knockout of Ago 1, 3 and 4. They first describe the pattern of expression of each protein and of Ago2 during the differentiation of male germ cells, then they describe the spermatogenesis phenotype of triple knockout males, study gene deregulation by scRNA seq and identify novel interacting proteins by co-IP mass spectrometry, in particular BRG1/SMARCA4, a chromatin remodeling factor and ATF2 a transcription factor. The main message is that Ago3 and 4 are involved in the regulation of XY gene silencing during meiosis, and also in the control of autosomal gene expression during meiosis. Overall the manuscript is well written, the topic, very interesting and the experiments, well-executed. However, there are some parts of the methodology and data interpretation that are unclear (see below).

      Major comments

      1= Please clarify how the triple KO was obtained, and if it is constitutive or specific to the male germline. In the result section a Cre (which cre?) is mentioned but it is not mentioned in the M&M. On Figure S1, a MICER VECTOR is shown instead of a deletion, but nothing is explained in the text nor legend. Could the authors provide more details in the results section as well as in the M&M ? This is essential to fully interpret the results obtained for this KO line, and to compare its phenotype to other lines (such as lines 184-9 Comparison of triple KO phenotype with that of Ago4 KO). Also, if it is a constitutive KO, the authors should mention if they observed other phenotypes in triple KO mice since AGO proteins are not only expressed in the male germline.

      Response: We apologize for omitting this vital information. We have now incorporated a more detailed description of how the Ago413 mutant was created in the results and M&M sections (line 120 and 686 respectively).

      As mentioned in the manuscript, Ago4, Ago1 and Ago3 are widely expressed in mammalian somatic tissues. Mutations or deletions of these genes does not disrupt development; however, there is limited research on the impact of these mutations in mammalian models in vivo. In humans, mutations in Ago1 and Ago3 genes are associated with neurological disorders, autism and intellectual disability (Tokita, M.J.,et al. 2015- doi: 10.1038/ejhg.2014.202., Sakaguchi et al. 2019- doi: 10.1016/j.ejmg.2018.09.004, Schalk et al 2021- doi: 10.1136/jmedgenet-2021-107751). In mouse, global deletion of Ago1 and Ago3 simultaneously was shown to increase mice susceptibility to influenza virus through impaired inflammation responses (Van Stry et al 2012- doi.org/10.1128/jvi.05303-11). Studies performed in female Ago413 mutants (the same mutant line used herein) have shown that knockout mice present postnatal growth retardation with elevated circulating leukocytes (Guidi et al 2023- doi: 10.1016/j.celrep.2023.113515). Other studies of double conditional knockout of Ago1 and Ago3 in the skin associated the loss of these Argonautes with decreased weight of the offspring and severe skin morphogenesis defects (Wang et al 2012- doi: 10.1101/gad.182758.111). In our study, we did not observe major somatic or overt behavioral phenotypes, and we did not observe statistical differences in body weights of null males compared to WT as shown in figure below.

      2= The paragraph corresponding to G2/M analysis is unclear to me. Why was this analysis performed? What does the heatmap show in Figure S4? What is G2/M score? (Fig 2D). Lines 219-220, do the authors mean that Pachytene cells are in a cell phase equivalent to G2/M? All this paragraph and associated figures require more explanation to clarify the method and interpretation.

      __Response: __We have modified the methods to include more information about how the cell cycle scoring used in Figures 2D and S4 were calculated and will add more information regarding the interpretation of these figures.

      3= I have concerns regarding Fig2G: to be convincing the analysis needs to be performed on several replicates, and, it is essential to compare tubules of the same stage - which does not seem to be the case. This does not appear to be the case. Besides, co (immunofluorescent) staining with markers of different cell types should be shown to demonstrate the earlier expression of some markers and their colocalization with markers of the earlier stages.

      __Response: __We agree with the Reviewer. New images with staged tubules will be added to the analysis of Figure 2G.

      4= one important question that I think the authors should discuss regarding their scRNAseq: clusters are defined using well characterized markers. But Ago triple KO appears to alter the timing of expression of genes... could this deregulation affects the interperetation of scRNAseq clusters and results?

      __Response: __We thank the reviewer for this suggestion and agree that including this information is important. We expect that, at most, this dysregulation impacts the edges of these clusters slightly. Given that marker genes that have been used to define cell types in these data are consistently expressed between the knockout and wildtype mice (see Figure S4A), we do not think that the cells in these clusters have different identities, just dysregulated expression programs. We have added the relevant sentence to the discussion, and will include additional supplemental figure panels to document this point more comprehensively.

      5= XY gene deregulation is mentioned throughout the result section but only X chromosome genes seem to have been investigated.... Even the gene content of the Y is highly repetitive, it would be very interesting to show the level of expression of Y single copy and Y multicopy genes in a figure 3 panel.

      __Response: __We agree with the reviewer that including analysis of Y-linked genes is important. We will add a supplemental figure which includes the Y:Autosome ratio and differential expression analysis.

      6= Can the authors elaborate on the observation that X gene upregulation is visible in the KO before MSCI; that is in lept/zygotene clusters (and in spermatogonia, if the difference visible in 3A is significant?)

      Response: We do see that X gene expression is upregulated before pachynema. Previous scRNA-seq studies that have looked at MCSI have seen that silencing of genes on the X and Y chromosomes starts before the cell clusters that are defined as pachynema, though silencing is not fully completed until pachynema. We have clarified this point in the manuscript.

      7 = miRNA analysis: could the authors indicate if X encoded miRNA were identified and found deregulated? Because Ago4 has been shown to lead to a downregulation of miRNA, among which many X encoded. It is therefore puzzling to see that the triple KO does not recapitulate this observation. Were the analyses performed differently in the present study and in Ago4 KO study?

      __Response: __The analysis identifying downregulation of miRNA in the original Ago4 mutant analysis was conducted relative to total small RNA expression. Amongst those altered miRNA families in the Ago4 mutants, we demonstrated both upregulation and downregulation of miRNA. We agree that confirming a similar global downregulation of miRNA counts compared to other small RNAs is important. Therefore, in a revised manuscript, we will add this information to the miRNA analysis section, especially highlighting the X chromosome-associated miRNAs, as well as whether the ratios between other small RNA classes change.

      8 = The last results paragraph would also benefit from some additional information. It is not clear why the authors focused on enhancers and did not investigate promoters (or maybe they were but it's unclear). Which regions (size and location from TSS) were investigated for motif enrichment analyses? To what correspond the "transcriptional regulatory regions previously identified using dREG" mentioned in the M&M? I understand it's based on a previous article, but more info in the present manuscript would be useful.

      Response: We thank the reviewer for this suggestion. The regions that were used for motif enrichment will be included as a supplementary information in the fully revised manuscript. We have also clarified in the methods that these transcriptional regulatory regions were downloaded from GEO and obtained from previous ChRO-seq data (from GEO) analysis. These data are run through the dREG pipeline that identifies regions predicted to contain transcription start sites, which include promoters and enhancers.

      Minor comments

      1) In the introduction: The sentence "Ago1 is not expressed in the germline from the spermatogonia stage onwards allowing us to use this model to study the roles of Ago4 and Ago3 in spermatogenesis." is misleading because Ago1 is expressed at least in spermatogonia; It would be more precise to write "after spermatogonia stage" and rephrase the sentence. Otherwise it is surprising to see AGO1 protein in testis lysate and it is not in line with the scRNA seq shown in figure 2.

      __Response: __We agree with the Reviewers suggestion and have edited the sentence on line 100. This sentence now reads "Ago1 is not expressed in the germline after the spermatogonia stage allowing us to use this model to study the roles of Ago4 and Ago3 in spermatogenesis".

      2) Could the authors precise if AGO proteins are expressed in other tissues? In somatic testicular cells?

      __Response: __Expression patterns of mammalian AGOs have been described in somatic and testicular tissues for the mouse by Gonzales-Gonzales et al (2008) by qPCR. They found that Ago2 is expressed in all the somatic tissues analyzed (brain, spleen, heart, muscle and lung) as well as the testis, with the highest expression in brain and lowest in heart. Ago1 is highly expressed in spleen compared to all the tissues analyzed, while Ago3 and Ago4 showed highest expression in testis and brain. Within somatic tissues of the testis, the four argonautes are expressed in Sertoli cells, however, Ago1,3 and 4 expression is very low compared to Ago2, with the latter showing a 10-fold higher transcript level. We have included a sentence with this information in the introduction in line 89.

      3) Pattern of expression: How do the authors explain that AGO3 disappears at the diplotene stage and reappears in spermatids?

      __Response: __ Single cell RNAseq data in the germline shows reduced transcript for Ago3 from the Pachytene stage onwards, suggesting minimal if any new transcription in round spermatids. We hypothesize that the AGO3 protein present in the round spermatid stage is cytoplasmic, presumably coming from the pool of AGO3 in the chromatoid body, a cytoplasmic structure with functional association with the nucleus in round spermatids (Kotaja et al, 2003 doi: 10.1073/pnas.05093331).

      4) It would be useful to show the timing of expression of AGO 1 to 4 throughout spermatogenesis in the first paragraph of the article. Maybe the authors could present data from fig2B earlier?

      Response: We understand the Reviewers concern, however, given that Ago expression throughout spermatogenesis was obtained from scRNA seq, we consider that this data should be presented after introducing the Ago413 knockout and the scRNA seq experiment. As Ago1-4 expression was also described in an earlier manuscript by Gonzales-Gonzales et al in the mouse male germline, and our data aligns with this report, we included a sentence about these previous findings in the earlier results section.

      5) Line 190: please modify the sentence "reveal no differences in cellular architecture of the seminiferous tubules when compared to wild-type males" to " reveal no gross differences..." since even without quantification of the different cell types it is visible that KO seminiferous tubules are different from WT tubules.

      __Response: __We agree with the reviewer, and we modified line 190 (now 173) as suggested. Grossly, seminiferous tubules from Ago413 null males contain the same cell types as in wild type tubules, including spermatozoa. However, our studies show that the number and quality of germ cells is compromised in knockouts, as shown by sperm counts and TUNEL staining.

      6) TUNEL analysis: please stage the tubules to determine the stage(s) at which apoptosis is the most predominant.

      __Response: __We have complied with the reviewer suggestion. Figure 1G now shows staged seminiferous tubules, and we have replaced the wild type image for one where the staged tubules match the knockout image.

      7) Figure S4B does not show an increase of cells at Pachytene stage but at Lepto/zygotene stage (as well as an increase of spermatogonia). Please comment this discrepancy with results shown in Fig2.

      __Response: __Figures 2 and S4 show distribution of cells in different substages of spermatogenesis and prophase I measured with very different methods: a cytological approach using chromosome spreads cells vs a transcriptomic approach that involves clustering of cells. We attribute the differences in cell type distribution to differences in the sensitivity of the methods to identify each cell type and therefore identify differences between the number of cells for each group. Moreover, our scRNA-seq data groups the leptotene and zygotene stages together, while the cytological approach allows for separation of these two sub-stages. Importantly, both results show that Ago413 spermatocytes are progressing slower from pachynema into diplonema and/or are dying after pachynema, as stated in line 194 in our manuscript.

      8) Fig5H and 5I are not mentioned in the result section. Also, it would be useful to label them with "all chromosomes" and "XY" to differentiate them easily

      __Response: __We apologize for the omission and have now cited Figures 5H and 5I in the manuscript (line 453). We have added the suggested labels.

      9) Line 530 "data provide further evidence for a functional association between AGO-dependent small RNAs and heterochromatin formation, maintenance and/or silencing." Please rephrase, the present article does not really show that AGO nuclear role depends on small RNAs.

      __Response____: __We agree with the reviewer that these data do not directly show a dependence on small RNAs. As our identified localization of AGO proteins to the pericentric heterochromatin coincides with localization of DICER shown previously by Yadav and collaborators (2020, doi: 10.1093/nar/gkaa460), we do believe that our data further implicates small RNAs in the silencing of heterochromatin. Yadav et al shows that DICER localizes to pericentromeric heterochromatin and processes major satellite transcripts into small RNAs in mouse spermatocytes, and cKO germ cells have reduced localization of SUV39H2 and H3K9me3 to the pericentromeric heterochromatin. Given the colocalization of both small RNA producing machinery and AGOs at pericentromeric heterochromatin, the AGOs may bind these small RNAs, and the statement in line 530 refers to how our results provide evidence for the involvement of other RNAi machinery in the silencing of pericentromeric heterochromatin investigated by Yadav et al which likely includes small RNAs.

      To clarify this point, we have modified the text accordingly.

      10) Line 1256: replace "cite here " by appropriate reference

      __Response: __The reference was added to line 1256.

      11) Please use SMARCA4 instead of BRG1 name as it is its official name.

      __Response: __We have replaced BRG1 with SMARCA4 in the text and figures.

      Figures:

      Figure 1: Are the pictures shown for Ago3-tagged and floxed from the same stages ? The leptotene stage in 1A looks like a zygotene, while some pachytene/diplotene stage pictures do not look alike.

      __Response: __New representative images have been added to figure 1 to match the same substages across the figure.

      Figure 1D, please label the Y scale properly (testis weight related to body weight)

      __Response: __We have fixed this.

      FigS1: Please comment the presence of non-specific bands in the figure legend

      __Response: __We have added a sentence in Figure S1 Legend.

      Fig 2E and F, please indicate on the figure (in addition to its legend), what are the X and Y axes respectively to facilitate its reading.

      __Response: __X and Y axes are now labelled in Figure 2E and F.

      2F: please use an easier abbreviation for Spermatocyte than Sp (which could spermatogonia, sperm etc..) such as Scyte I ? (same comment for Fig 3C)

      Response: The abbreviation for spermatocyte was changed from Sp to Scyte I in Figures 2 and 3.

      Overall, for all figures showing GSEA analyses, could the authors explain what a High positive NES and a High negative NES mean in the results section?

      Response: Thank you for this suggestion. We have added this information where the GSEA score of the cell markers is initially introduced.

      Significance

      Ago proteins are known for their roles in post transcriptional gene regulation via small RNA mediated cleavage of mRNA, which takes places in the cytoplasm. Some Ago proteins have been shown to be also located in the nucleus suggesting other non-canonical roles. It is the case of Ago4 which has been shown to localize to the transcriptionally silenced sex chromosomes (called sex body) of the spermatocyte nucleus, where it contributes to regulate their silencing (Modzelewski et al 2012). Interestingly, Ago4 knockout leads to Ago3 upregulation, including on the sex body indicating that Ago3 and Ago4 are involved in the same nuclear process. In their manuscript, de las Mercedes Carro et al., investigate the consequences of loss of both Ago3 and Ago4 in the male germline by the production of a triple knockout of Ago1, 3 and 4 in the mouse. With this model, the authors describe the role of Ago3 and Ago4 during spermatogenesis and show that they are involved in sex chromosome gene repression in spermatocytes and in round spermatids, as well as in the control of autosomal meiotic gene expression. Triple KO males have impaired meiosis and spermiogenesis, with fewer and abnormal spermatozoa resulting in reduced fertility. Since Ago1 male germline expression is restricted to pre-meiotic germ cells, it is not expected to contribute to the meiotic and postmeiotic phenotypes observed in the triple KO. The strengths of the study are i) the thorough analyses of mRNA expression at the single cell level, and in purified spermatocytes and spermatids (bulk RNAseq), ii) the identification of novel nuclear partners of AGO3/4 relevant for their described nuclear role: ATF2, which they show to also co-localize with the sex body, and BRG1/SMARCA4, a SWI/SNF chromatin remodeler. The main limitation of the study is the lack of information in the method regarding the production of the triple KO, as well as some aspects of the transcriptome and motif analyses. It is also surprising to see that the triple KO does not recapitulate the miRNA deregulation observed in Ago4 KO. The characterization of a non-canonical role of AGO3/4 in male germ cells will certainly influence researchers of the field, and also interest a broader audience studying Argonaute proteins and gene regulation at transcriptional and posttranscriptional levels.

      Reviewer #2

      Evidence, reproducibility and clarity

      In the manuscript titled "Argonaute proteins regulate the timing of the spermatogenic transcriptional program" by Carro et al., the authors present their findings on how Argonaute proteins regulate spermatogenic development. They utilize a mouse model featuring a deletion of the gene cluster on chromosome 4 that contains Ago1, Ago3, and Ago4 to investigate the cumulative roles of AGO3 and AGO4 in spermatogenic cells. The authors characterize the distribution of AGO proteins and their effects on key meiotic milestones such as synapsis, recombination, meiotic transcriptional regulation, and meiotic sex chromosome inactivation (MSCI). They analyze stage-specific transcriptomes in spermatogenic cells using single-cell and bulk RNA sequencing and determine the interactome of AGO3 and AGO4 through mass spectrometry to examine how AGO proteins may regulate gene expression in these cells during meiotic and post-meiotic development. The authors conclude that both AGO3 and AGO4 are essential for regulating the overall gene expression program in spermatogenic cells and specifically modulate MSCI to repress sex-linked genes in pachytene spermatocytes, which may be partially mediated by the proper distribution of DNA damage repair factors. Additionally, AGO3 is suggested to interact with the chromatin remodeler SWI/SNF factor BRG1, facilitating its removal from the sex-chromatin to enable the repression of sex-linked genes during MSCI.

      Major Comments: 1. The study utilized a triple knockout mouse model to determine the effect of AGO3 on spermatogenesis, following up on their previous report about the role of AGO4 in spermatogenesis, which resulted from an upregulation of AGO3 in Ago4-/- spermatocytes. However, the results are more difficult to interpret and ascertain the role of AGO3 in these cells, given the absence of any observable phenotype from Ago3 interruption. AGO4 regulates sex body formation, meiotic sex chromosome inactivation (MSCI), and miRNA production in spermatocytes, all of which were noted in the absence of both AGO3 and AGO4, with only an increased incidence of cells containing abnormal RNAPII at the sex chromosomes. It will be necessary to characterize how AGO3 regulates spermatogenic development, including meiotic progression and the regulation of the meiotic transcriptome, and compare these findings with the current observations to determine if the proposed mechanism involving AGO3, BRG1, and possibly AP2 is relevant in this context.

      __Response: __While we agree with Reviewer that a single Ago3 knockout will help understand distinct roles of AGO3 and AGO4 in spermatogenesis, the time and resources required to generate a new mouse model are substantial. The analysis included in this current manuscript has already taken over seven years, and with the lengthy production of a new single mutant mouse, validation of the new mouse, and then final analysis, we would be looking at another 3-5 years of analysis. In the current funding climate, and with strong concerns over ensuring reduction in utilization of laboratory mice, we consider this request to be far in excess of what is required to move this important story forward.

      The Ago413-/- mouse model has allowed us to associate a nuclear role of Argonaute proteins with a strong reproductive phenotype in the mouse germline. Given the redundancy between Ago3 and Ago4, it is likely that a single Ago3 knockout would have a mild phenotype just like the Ago4 KO. All this said, we agree with the reviewer that analysis of an Ago3 knockout mouse is a valuable next step, just not within this chapter of the story.

      1. Does Ago413-/- mice recapitulate the early meiotic entry phenotype observed in Ago4-/- mice? If not, could it be possible that AGO3 promotes meiotic entry, given its strong mRNA expression in spermatogonia according to the scRNAseq data (Fig. 2B)

      Response: Our scRNA-seq data shows strong expression of Ago3 in spermatogonia, as mentioned by the Reviewer. Analysis of cell cycle marker expression also shows that the transcriptomic profile of spermatogonia is altered, with higher levels of transcripts corresponding to the later G2/M stages (Figure 2D). Moreover, Ago413 knockouts present an increase in the number of spermatogonial stem cells (Supplementary Figure S4B). However, this cluster represents a pool of quiescent and mitotically active cells entering meiosis, therefore interpretation of these data might be challenging. While specific experiments could be conducted to answer this question, this is outside of the scope of our manuscript. The manuscript as it stands is already rather large, and a full analysis of meiotic entry dynamics would dilute the core message relating to chromatin regulation in the sex body.

      1. The authors suggested that the removal of BRG1 by AGO3 is necessary during sex body formation and the eventual establishment of MSCI. However, the BAF complex subunit ARID1A has been shown to facilitate MSCI by regulating promoter accessibility. It will be interesting to determine how BRG1 distribution changes across the genome in the absence of AGO proteins and how that correlates with alterations in sex-linked gene expression.

      __Response: __We agree that changes in BRG1 distribution across the genome would be very interesting to identify. However, in this work we show that BRG1/SMARCA4 protein changes its localization in the sex body very rapidly between early to late pachynema. These two substages are only discernable by immunofluorescence using synaptonemal complex markers, as there are currently no available techniques to enrich for these subfractions. Therefore, study of genome occupancy of BRG1 in these specific substages by techniques such as CUT&Tag are not currently possible. However, we are currently working on new methods to distinguish these cell populations and hope eventually to use these purification strategies to perform the studies suggested by this reviewer. Alternatively, the hope is that single cell CUT&Tag methods will become more reliable, and will enable us to address these questions. Both of these options are not currently available to us. The studies by Menon et al (2024-doi:10.7554/eLife.88024.5) provide strong evidence to support that ARID1A is needed to reduce promoter accessibility of XY silenced genes in prophase I through modulation of H3.3 distribution. However, this mechanism and our identification of the removal of BRG1 between early and late pachytema are not inconsistent with one another, as either SMARCA4 or SMARCA2 can associate with ARID1A as part of the cBAF complex, and ARID1A is also not in all forms of the BAF complex which BRG1 are in. The difference between our results and those seen in Menon et al likely indicate that there are multiple forms of the BAF complex which are differentially regulated during MSCI and play different roles in silencing transcription. Further studies of specific BAF subunits are needed to elucidate how different flavors of the BAF complex act at specific genomic locations and meiotic time points.

      1. The observations presented in this manuscript (Fig. 1D, 2C, 3D, and 4) suggest a haploinsufficiency of the deleted locus in spermatogenic development. How does this compare with the ablation of either Ago3 or Ago4? Please explain.

      Response: Our previous studies in single Ago4 knockouts did not present a heterozygous phenotype (Modzelewski et al 2012, doi: 10.1016/j.devcel.2012.07.003, data not shown). Triple Ago413 knockouts show a much stronger fertility phenotype than single Ago4 knockout. Testis weight of Ago413 homozygous null present a 30% reduction while heterozygous mice show a 15% reduction (Figure 1D), comparable to the 13% reduction previously observed in Ago4-/- males. Sperm counts of Ago413 null and heterozygous males are reduced by 60% and 39% compared to wild type (Figure 1E), respectively, whereas Ago4 null mice have a milder phenotype, with only a 22% reduction in sperm counts. At the MSCI level, both homozygous and heterozygous Ago413 mutant spermatocytes show a similar increase in pachytene spermatocytes with increased RNA pol II ingression into the sex body with respect to wild-type of 35% and 30%, respectively. Ago4 single knockouts show an almost 18% increase in Pol II ingression when compared to wild type. These comparisons are now included in our manuscript in lines 170, 172 and 288. A milder phenotype of the Ago4 knockout and haploinsufficiency in triple Ago413 knockouts but not in Ago4 single knockouts is likely a consequence of the overlapping functions of Ago3 and Ago4 in mammals (and/or overexpression of Ago3 in Ago4 knockouts). In the context of their role in RISC, Wang et al (doi: 10.1101/gad.182758.111) studied the effects of single and double conditional knockouts for Ago1 and Ago2 in miRNA-mediated silencing. They discovered that the interaction between miRNAs and AGOs is highly correlated with the abundance of each AGO protein, and only double knockouts presented an observable phenotype.

      Minor Comments: Based on the interactome analysis, it was argued that AGO3 and AGO4 may function separately. Please discuss how AGO3 might compensate for AGO4 (Line 109).

      Response: We hypothesize that the combined function of AGO3 and AGO4 is needed for proper sex chromosome inactivation during meiosis. We base this hypothesis on the facts that (i) both proteins localize to the sex body in pachytene spermatocytes, (ii) loss of Ago4 leads to upregulation of Ago3, and (iii) the MSCI phenotype of Ago413 knockout mice is much stronger than the single Ago4 knockout (see above). However, AGO3 and AGO4 might not induce silencing through the same mechanism or pathway. In this work, we observed that their temporal expression in prophase I is different; while AGO3 protein seems to disappear by the diplotene stage, AGO4 is present in the sex body of these cells. Moreover, the proteomic analysis revealed a very low number of common interactors, an observation which could support the idea of AGO3 and AGO4 acting by different (albeit perhaps related) mechanisms to achieve MSCI. It is also possible that common interactors were not identified in our proteomic analysis due to the low abundance of AGO3 and AGO4 in the germ cells, limiting the resolution of the proteomics analysis (note that in order to visualize AGO proteins in WB experiments, at least 60 μg of enriched germ cell lysate must be loaded per lane). Moreover, given the difficulty in obtaining enough isolated pachytene and diplotene spermatocytes to perform immunoprecipitation experiments, we performed IP experiments in whole germ cell lysates, which limits the interpretation of our analysis. If AGO3 and AGO4 protein interactors overlap, then AGO3 would directly substitute for AGO4 leading to silencing in single Ago4 knockouts. However, if AGO3 and AGO4 work together through different, complementary mechanisms, then Ago4 mutant mice likely compensates loss of Ago4 by upregulation of Ago3along with specific interactors of the given pathway. We have added a sentence addressing this matter in line 411 of the results section and lines 506 and 513 of the discussion in the revised manuscript.

      In Line 221, it is unclear what is meant by 'cell cycle transcripts'. Does this refer to meiotic transcripts? It is also important to discuss the relevance of the G2/M cell cycle marker genes at later stages of meiotic prophase.

      Response: Thank you for this suggestion. We have changed the relevant text to remove redundancies and include more information. We agree that considering the importance of these genes across meiotic prophase is needed, as cells which are in the dividing stage will already have produced the proteins necessary for division. These cells likely correspond to the diplotene/M cluster cells that have a lower G2/M score, potentially causing the bimodal distribution seen in Figure 2D. We have added a sentence addressing this to the manuscript.

      While identified as a common interactor of both AGO3 and AGO4 in lines 440-445, HNRNPD is not listed among AGO4 interactors in Table S6. Please correct or explain this discrepancy.

      Response: HNRPD was originally identified as an AGO4 interactor using a less strict criteria than the one used in our manuscript: we required consistent enrichment in at least two rounds of IP MS experiments. This reference to HNRNPD was a mistake, given that HNRPD was only enriched in one of our three replicates. Thus, we apologize and have removed the sentence in lines 440-445.

      It is unclear whether wild-type cell lysate or lysate containing FLAG-tagged AGO3 was used for BRG1 immunoprecipitation, and which antibody was used to detect AGO3 in the BRG1 IP sample. A co-IP experiment demonstrating interaction between BRG1 and wild-type AGO3 would be ideal in this context. Furthermore, co-localization by IF would be beneficial to determine the subcellular localization and the cell stages the interaction may be occurring. Additionally, co-IP and Western blot methodologies should be included in the methods section.

      __Response: __MYC-FLAG tagged AGO3 protein lysates were used for BRG1 Co-Immunoprecipitation, along with an anti MYC antibody to detect AGO3. This is now detailed in the Methods section of our revised manuscript (line 1133).

      Regarding BRG1 and AGO3 colocalization by IF, we can confidently show that both AGO3 and BRG1 localize to the sex chromosomes in early pachynema by comparing BRG1/SYCP3 and FLAG-AGO3/SYCP3 stained spreads. We were not able to show colocalization simultaneously on the same cells, given the lack of appropriate antibodies. Our anti FLAG antibody is raised in mouse, while anti BRG1 is raised in rabbit, therefore a non-rabbit, non-mouse anti SYCP3 would be needed to identify prophase I substages, and our lab does not possess such a validated antibody. However, we now have access to a multiplexing kit that allows to use same-species antibodies for immunofluorescence and we can perform these experiments for a revised manuscript.

      __Response: __The methods section now includes description of co-IP methodologies (line 1132). Western Blot methodologies are explained in lane 718, under the "Immunoblotting" title.

      In line 599, it is unclear what is meant by 'persistence of sex chromosome de-repression'. Please correct or clarify this.

      Response: This sentence has been changed and reads: "The persistence of sex chromosome gene expression".

      If possible, please add an illustration to summarize the findings together.

      Response: We thank the reviewer for this suggestion, and have now added this in Figure 6

      Significance

      Overall, this study enhances the understanding of gene expression regulation by AGO proteins during spermatogenesis. Several approaches, including functional, histological, and molecular characterization of the triple knockout phenotype, were instrumental in elucidating the role of AGO proteins in MSCI and meiotic as well as postmeiotic gene regulation. The main limitation of the study is that it is challenging to appreciate the role of AGO3 in addition to the previously published role of AGO4 without the inclusion of necessary control groups. Furthermore, the mechanism of action for AGO proteins in meiotic gene regulation was left relatively unexplored. This study presents new findings that will be significant for the research community interested in gene regulation, chromatin biology, and reproductive biology with the above suggestions considered.

      __Reviewer #3 (Evidence, reproducibility and clarity (Required)): __

      The authors characterize a CRISPR-Cas9 mouse mutant that targets 3 genes that encode AGO family proteins, 2 of which are expressed during spermatogenesis (AGO3 and AGO4) and one that is said is not expressed, AGO1. This mouse mutant showed that AGO3 and AGO4 both contribute to spermatogenesis success as the "Ago413" mutation gave rise to an additive reduction in testis weight, due to spermatocyte apoptosis, and reduction in sperm count. Furthermore, they use insertion mouse mutants for Ago3 and Ago2 that express tagged versions of their corresponding proteins, which they use in combination with pan-AGO antibodies and Ago mutants to show differential expression and localization properties of AGO2, AGO3, and AGO4 (and the absence of AGO1) during spermatogenesis with a particular focus on meiotic prophase. They perform single-cell RNAseq and intricate analyses to demonstrate a change in distribution of meiotic stages in Ago413 mutants, and the overall cell cycle in spermatogonia and spermatocytes is altered. This analysis shows that the mutation leads to an inability to downregulate prior spermatogonia/spermatocyte stage transcripts in a timely manner. On the other hand, later-stage spermatocytes are abnormally expressing spermiogenesis genes. Similar to the Ago4 mutant previously characterized MSCI is disrupted. The authors also show that AGO3 has different interaction partners compared to AGO4 and focus their final assessment on a novel interaction partner of AGO3, BRG1. They show that this factor, which is involved in chromatin remodeling, is aberrantly localized to the sex body during meiotic prophase and diplonema. As BRG1 is involved in open chromatin, it is proposed that AGO3 restricts BRG1 (and related proteins) from the XY chromosome to ensure MSCI. Overall, this paper is very well constructed with mechanistic insights that make this a very impactful contribution to the research community. Major Comments:

      1. The abstract contains "Ago413-/- mouse" without any explanation of what that is. The abstract needs to be a stand-alone document that does not require any referencing for context.

      Response: We have included a sentence describing Ago413 in line 27

      Figure 2C. - The significance bars are confusing as they appear to overlap strangely.

      Response: We have modified this figure and now present the significance bars are on top of the data points.

      On line 235, the authors state that "we first identified the top non-overlapping upregulated genes for Ago413+/+ germ cells in each cluster. Why did the authors not also select down-regulated genes in each cluster to perform a similar analysis?

      __Response: __Thank you for this question. As our goal was to identify genes that are markers of the transcriptional program in each cell type, we used only uniquely upregulated genes for each cluster. Genes that are downregulated for a cluster may be indicative of the transcription in several other cell types, which is not easily interpretable. For a revised manuscript, we will perform this analysis to determine if there is any specific alterations in these downregulated genes.

      Their Ago413 mutant characterization does a good job of assessing meiotic prophase and spermatozoa. However, their assessment of the stages in between these is lacking (meiotic divisions and spermiogenesis).

      Response: We understand the reviewer's concern, however, it is not usual to study stages between the first meiotic division and spermiogenesis because meiosis II is so rapid and thus we lack tools to dissect it. In general, any defect that impacts meiosis I (and particularly prophase I) leads to cell death during prophase I or at metaphase I due to strictly adhered checkpoints that eradicate defective cells. Thus, the increased TUNEL staining in prophase I indicates to us that defective cells are cleared before exit from meiosis I, and those cells progressing to the spermatid stage are "normal" for meiosis II progression. For these cells that did complete meiosis I and progressed normally through meiosis II, we analyzed their spermiogenic outcome extensively (see section entitled "Post-meiotic spermatids from Ago413-/- males exhibit defective spermiogenesis and poor spermatozoa function"). This section included extensive sperm morphology, sperm motility and sperm fertility through in vitro fertilization assays. That said, we have added a sentence on line 268 to explain the transit through meiosis II.

      The discovery of the interaction between BRG1 and AGO3 is exciting. They should assess BRG1 localization in later sub-stages, including late diplonema and diakinesis.

      __Response: __BRG1(SMARCA4) was analyzed throughout prophase I, as shown in image 5G, including quantification of fluorescence intensity included the analysis of diplonema (5H-I). However, diakinesis was not included here since there was no observable signal of BRG1 in these cells. We have explained this in lines 459.

      ATF2 should have been assessed in more detail, as was done for BRG1 in Figure 5.

      __Response: __We agree with the Reviewer, however, staining of chromosome spreads with the anti ATF2 antibody was not possible in our hands after several attempts and changes in staining conditions. However, as staining of sections was successful, we showed localization of ATF2 on spermatocytes by co staining sections with SYCP3 and ATF2.

      Reviewer #3 (Significance (Required)): Overall, this paper is very well constructed with mechanistic insights, as described in my reviewer comments, that make this a very impactful contribution to the research community.

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      Referee #3

      Evidence, reproducibility and clarity

      The authors characterize a CRISPR-Cas9 mouse mutant that targets 3 genes that encode AGO family proteins, 2 of which are expressed during spermatogenesis (AGO3 and AGO4) and one that is said is not expressed, AGO1. This mouse mutant showed that AGO3 and AGO4 both contribute to spermatogenesis success as the "Ago413" mutation gave rise to an additive reduction in testis weight, due to spermatocyte apoptosis, and reduction in sperm count. Furthermore, they use insertion mouse mutants for Ago3 and Ago2 that express tagged versions of their corresponding proteins, which they use in combination with pan-AGO antibodies and Ago mutants to show differential expression and localization properties of AGO2, AGO3, and AGO4 (and the absence of AGO1) during spermatogenesis with a particular focus on meiotic prophase. They perform single-cell RNAseq and intricate analyses to demonstrate a change in distribution of meiotic stages in Ago413 mutants, and the overall cell cycle in spermatogonia and spermatocytes is altered. This analysis shows that the mutation leads to an inability to downregulate prior spermatogonia/spermatocyte stage transcripts in a timely manner. On the other hand, later-stage spermatocytes are abnormally expressing spermiogenesis genes. Similar to the Ago4 mutant previously characterized MSCI is disrupted. The authors also show that AGO3 has different interaction partners compared to AGO4 and focus their final assessment on a novel interaction partner of AGO3, BRG1. They show that this factor, which is involved in chromatin remodeling, is aberrantly localized to the sex body during meiotic prophase and diplonema. As BRG1 is involved in open chromatin, it is proposed that AGO3 restricts BRG1 (and related proteins) from the XY chromosome to ensure MSCI. Overall, this paper is very well constructed with mechanistic insights that make this a very impactful contribution to the research community.

      Major Comments:

      1. The abstract contains "Ago413-/- mouse" without any explanation of what that is. The abstract needs to be a stand-alone document that does not require any referencing for context.
      2. Figure 2C. - The significance bars are confusing as they appear to overlap strangely.
      3. On line 235, the authors state that "we first identified the top non-overlapping upregulated genes for Ago413+/+ germ cells in each cluster. Why did the authors not also select down-regulated genes in each cluster to perform a similar analysis?
      4. Their Ago413 mutant characterization does a good job of assessing meiotic prophase and spermatozoa. However, their assessment of the stages in between these is lacking (meiotic divisions and spermiogenesis).
      5. The discovery of the interaction between BRG1 and AGO3 is exciting. They should assess BRG1 localization in later sub-stages, including late diplonema and diakinesis.
      6. ATF2 should have been assessed in more detail, as was done for BRG1 in Figure 5.

      Significance

      Overall, this paper is very well constructed with mechanistic insights, as described in my reviewer comments, that make this a very impactful contribution to the research community.

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      Referee #2

      Evidence, reproducibility and clarity

      In the manuscript titled "Argonaute proteins regulate the timing of the spermatogenic transcriptional program" by Carro et al., the authors present their findings on how Argonaute proteins regulate spermatogenic development. They utilize a mouse model featuring a deletion of the gene cluster on chromosome 4 that contains Ago1, Ago3, and Ago4 to investigate the cumulative roles of AGO3 and AGO4 in spermatogenic cells. The authors characterize the distribution of AGO proteins and their effects on key meiotic milestones such as synapsis, recombination, meiotic transcriptional regulation, and meiotic sex chromosome inactivation (MSCI). They analyze stage-specific transcriptomes in spermatogenic cells using single-cell and bulk RNA sequencing and determine the interactome of AGO3 and AGO4 through mass spectrometry to examine how AGO proteins may regulate gene expression in these cells during meiotic and post-meiotic development. The authors conclude that both AGO3 and AGO4 are essential for regulating the overall gene expression program in spermatogenic cells and specifically modulate MSCI to repress sex-linked genes in pachytene spermatocytes, which may be partially mediated by the proper distribution of DNA damage repair factors. Additionally, AGO3 is suggested to interact with the chromatin remodeler SWI/SNF factor BRG1, facilitating its removal from the sex-chromatin to enable the repression of sex-linked genes during MSCI.

      Major Comments:

      The study utilized a triple knockout mouse model to determine the effect of AGO3 on spermatogenesis, following up on their previous report about the role of AGO4 in spermatogenesis, which resulted from an upregulation of AGO3 in Ago4-/- spermatocytes. However, the results are more difficult to interpret and ascertain the role of AGO3 in these cells, given the absence of any observable phenotype from Ago3 interruption. AGO4 regulates sex body formation, meiotic sex chromosome inactivation (MSCI), and miRNA production in spermatocytes, all of which were noted in the absence of both AGO3 and AGO4, with only an increased incidence of cells containing abnormal RNAPII at the sex chromosomes. It will be necessary to characterize how AGO3 regulates spermatogenic development, including meiotic progression and the regulation of the meiotic transcriptome, and compare these findings with the current observations to determine if the proposed mechanism involving AGO3, BRG1, and possibly AP2 is relevant in this context.

      Does Ago413-/- mice recapitulate the early meiotic entry phenotype observed in Ago4-/- mice? If not, could it be possible that AGO3 promotes meiotic entry, given its strong mRNA expression in spermatogonia according to the scRNAseq data (Fig. 2B) The authors suggested that the removal of BRG1 by AGO3 is necessary during sex body formation and the eventual establishment of MSCI. However, the BAF complex subunit ARID1A has been shown to facilitate MSCI by regulating promoter accessibility. It will be interesting to determine how BRG1 distribution changes across the genome in the absence of AGO proteins and how that correlates with alterations in sex-linked gene expression. The observations presented in this manuscript (Fig. 1D, 2C, 3D, and 4) suggest a haploinsufficiency of the deleted locus in spermatogenic development. How does this compare with the ablation of either Ago3 or Ago4? Please explain.

      Minor Comments:

      Based on the interactome analysis, it was argued that AGO3 and AGO4 may function separately. Please discuss how AGO3 might compensate for AGO4 (Line 109).<br /> In Line 221, it is unclear what is meant by 'cell cycle transcripts'. Does this refer to meiotic transcripts? It is also important to discuss the relevance of the G2/M cell cycle marker genes at later stages of meiotic prophase.<br /> While identified as a common interactor of both AGO3 and AGO4 in lines 440-445, HNRNPD is not listed among AGO4 interactors in Table S6. Please correct or explain this discrepancy. It is unclear whether wild-type cell lysate or lysate containing FLAG-tagged AGO3 was used for BRG1 immunoprecipitation, and which antibody was used to detect AGO3 in the BRG1 IP sample. A co-IP experiment demonstrating interaction between BRG1 and wild-type AGO3 would be ideal in this context. Furthermore, co-localization by IF would be beneficial to determine the subcellular localization and the cell stages the interaction may be occurring. Additionally, co-IP and Western blot methodologies should be included in the methods section. In line 599, it is unclear what is meant by 'persistence of sex chromosome de-repression'. Please correct or clarify this. If possible, please add an illustration to summarize the findings together.

      Significance

      Overall, this study enhances the understanding of gene expression regulation by AGO proteins during spermatogenesis. Several approaches, including functional, histological, and molecular characterization of the triple knockout phenotype, were instrumental in elucidating the role of AGO proteins in MSCI and meiotic as well as postmeiotic gene regulation. The main limitation of the study is that it is challenging to appreciate the role of AGO3 in addition to the previously published role of AGO4 without the inclusion of necessary control groups. Furthermore, the mechanism of action for AGO proteins in meiotic gene regulation was left relatively unexplored. This study presents new findings that will be significant for the research community interested in gene regulation, chromatin biology, and reproductive biology with the above suggestions considered.

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      Referee #1

      Evidence, reproducibility and clarity

      In their manuscript de las Mercedes Carro et al investigated the role of Ago proteins during spermatogenesis by producing a triple knockout of Ago 1, 3 and 4. They first describe the pattern of expression of each protein and of Ago2 during the differentiation of male germ cells, then they describe the spermatogenesis phenotype of triple knockout males, study gene deregulation by scRNA seq and identify novel interacting proteins by co-IP mass spectrometry, in particular BRG1/SMARCA4, a chromatin remodeling factor and ATF2 a transcription factor. The main message is that Ago3 and 4 are involved in the regulation of XY gene silencing during meiosis, and also in the control of autosomal gene expression during meiosis. Overall the manuscript is well written, the topic, very interesting and the experiments, well-executed. However, there are some parts of the methodology and data interpretation that are unclear (see below).

      Major comments

      1. Please clarify how the triple KO was obtained, and if it is constitutive or specific to the male germline. In the result section a Cre (which cre?) is mentioned but it is not mentioned in the M&M. On Figure S1, a MICER VECTOR is shown instead of a deletion, but nothing is explained in the text nor legend. Could the authors provide more details in the results section as well as in the M&M ? This is essential to fully interpret the results obtained for this KO line, and to compare its phenotype to other lines (such as lines 184-9 Comparison of triple KO phenotype with that of Ago4 KO). Also, if it is a constitutive KO, the authors should mention if they observed other phenotypes in triple KO mice since AGO proteins are not only expressed in the male germline.
      2. The paragraph corresponding to G2/M analysis is unclear to me. Why was this analysis performed? What does the heatmap show in Figure S4? What is G2/M score? (Fig 2D). Lines 219-220, do the authors mean that Pachytene cells are in a cell phase equivalent to G2/M? All this paragraph and associated figures require more explanation to clarify the method and interpretation.
      3. I have concerns regarding Fig2G: to be convincing the analysis needs to be performed on several replicates, and, it is essential to compare tubules of the same stage - which does not seem to be the case. This does not appear to be the case. Besides, co (immunofluorescent) staining with markers of different cell types should be shown to demonstrate the earlier expression of some markers and their colocalization with markers of the earlier stages.
      4. one important question that I think the authors should discuss regarding their scRNAseq: clusters are defined using well characterized markers. But Ago triple KO appears to alter the timing of expression of genes... could this deregulation affects the interperetation of scRNAseq clusters and results?
      5. XY gene deregulation is mentioned throughout the result section but only X chromosome genes seem to have been investigated.... Even the gene content of the Y is highly repetitive, it would be very interesting to show the level of expression of Y single copy and Y multicopy genes in a figure 3 panel.
      6. Can the authors elaborate on the observation that X gene upregulation is visible in the KO before MSCI; that is in lept/zygotene clusters (and in spermatogonia, if the difference visible in 3A is significant?)
      7. miRNA analysis: could the authors indicate if X encoded miRNA were identified and found deregulated? Because Ago4 has been shown to lead to a downregulation of miRNA, among which many X encoded. It is therefore puzzling to see that the triple KO does not recapitulate this observation. Were the analyses performed differently in the present study and in Ago4 KO study?
      8. The last results paragraph would also benefit from some additional information. It is not clear why the authors focused on enhancers and did not investigate promoters (or maybe they were but it's unclear). Which regions (size and location from TSS) were investigated for motif enrichment analyses? To what correspond the "transcriptional regulatory regions previously identified using dREG" mentioned in the M&M? I understand it's based on a previous article, but more info in the present manuscript would be useful.

      Minor comments

      1. In the introduction: The sentence "Ago1 is not expressed in the germline from the spermatogonia stage onwards allowing us to use this model to study the roles of Ago4 and Ago3 in spermatogenesis." is misleading because Ago1 is expressed at least in spermatogonia; It would be more precise to write "after spermatogonia stage" and rephrase the sentence. Otherwise it is surprising to see AGO1 protein in testis lysate and it is not in line with the scRNA seq shown in figure 2.
      2. Could the authors precise if AGO proteins are expressed in other tissues? In somatic testicular cells?
      3. Pattern of expression: How do the authors explain that AGO3 disappears at the diplotene stage and reappears in spermatids?
      4. It would be useful to show the timing of expression of AGO 1 to 4 throughout spermatogenesis in the first paragraph of the article. Maybe the authors could present data from fig2B earlier?
      5. Line 190: please modify the sentence "reveal no differences in cellular architecture of the seminiferous tubules when compared to wild-type males" to " reveal no gross differences..." since even without quantification of the different cell types it is visible that KO seminiferous tubules are different from WT tubules.
      6. TUNEL analysis: please stage the tubules to determine the stage(s) at which apoptosis is the most predominant.
      7. Figure S4B does not show an increase of cells at Pachytene stage but at Lepto/zygotene stage (as well as an increase of spermatogonia). Please comment this discrepancy with results shown in Fig2.
      8. Fig5H and 5I are not mentioned in the result section. Also, it would be useful to label them with "all chromosomes" and "XY" to differentiate them easily
      9. Line 530 "data provide further evidence for a functional association between AGO-dependent small RNAs and heterochromatin formation, maintenance and/or silencing." Please rephrase, the present article does not really show that AGO nuclear role depends on small RNAs.
      10. Line 1256: replace "cite here " by appropriate reference
      11. Please use SMARCA4 instead of BRG1 name as it is its official name.

      Figures:

      Figure 1: Are the pictures shown for Ago3-tagged and floxed from the same stages ? The leptotene stage in 1A looks like a zygotene, while some pachytene/diplotene stage pictures do not look alike.

      Figure 1D, please label the Y scale properly (testis weight related to body weight)

      FigS1: Please comment the presence of non-specific bands in the figure legend

      Fig 2E and F, please indicate on the figure (in addition to its legend), what are the X and Y axes respectively to facilitate its reading.

      2F: please use an easier abbreviation for Spermatocyte than Sp (which could spermatogonia, sperm etc..) such as Scyte I ? (same comment for Fig 3C)

      Overall, for all figures showing GSEA analyses, could the authors explain what a High positive NES and a High negative NES mean in the results section?

      Significance

      Ago proteins are known for their roles in post transcriptional gene regulation via small RNA mediated cleavage of mRNA, which takes places in the cytoplasm. Some Ago proteins have been shown to be also located in the nucleus suggesting other non-canonical roles. It is the case of Ago4 which has been shown to localize to the transcriptionally silenced sex chromosomes (called sex body) of the spermatocyte nucleus, where it contributes to regulate their silencing (Modzelewski et al 2012). Interestingly, Ago4 knockout leads to Ago3 upregulation, including on the sex body indicating that Ago3 and Ago4 are involved in the same nuclear process. In their manuscript, de las Mercedes Carro et al., investigate the consequences of loss of both Ago3 and Ago4 in the male germline by the production of a triple knockout of Ago1, 3 and 4 in the mouse. With this model, the authors describe the role of Ago3 and Ago4 during spermatogenesis and show that they are involved in sex chromosome gene repression in spermatocytes and in round spermatids, as well as in the control of autosomal meiotic gene expression. Triple KO males have impaired meiosis and spermiogenesis, with fewer and abnormal spermatozoa resulting in reduced fertility. Since Ago1 male germline expression is restricted to pre-meiotic germ cells, it is not expected to contribute to the meiotic and postmeiotic phenotypes observed in the triple KO. The strengths of the study are i) the thorough analyses of mRNA expression at the single cell level, and in purified spermatocytes and spermatids (bulk RNAseq), ii) the identification of novel nuclear partners of AGO3/4 relevant for their described nuclear role: ATF2, which they show to also co-localize with the sex body, and BRG1/SMARCA4, a SWI/SNF chromatin remodeler. The main limitation of the study is the lack of information in the method regarding the production of the triple KO, as well as some aspects of the transcriptome and motif analyses. It is also surprising to see that the triple KO does not recapitulate the miRNA deregulation observed in Ago4 KO. The characterization of a non-canonical role of AGO3/4 in male germ cells will certainly influence researchers of the field, and also interest a broader audience studying Argonaute proteins and gene regulation at transcriptional and posttranscriptional levels.

    1. For maps 2-->4 Can the caption read: Renewable Energy Target in {Sector}: XX% Target Year: 20XX Sector for map 2 is Transport Sector for map 3 is Industry Sector for map 4 is Buildings

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public Review):

      In this work Jeong and colleagues focus on exploring the role of the acyltransferase ZDHHC9 in myelinating OLs in particular in the palmitoylation of several myelin proteins. After confirming the specific enrichment of the Zdhhc9 transcript in mouse and human OLs, the authors examine the subcellular localization of the protein in vitro and observed that in comparison with other isoforms, ZDHHC9 localizes at OLs cell bodies and at discrete puncta in the processes. These observations (Figures 1 and 2) led the authors to hypothesize that ZDHHC9 plays an important role in myelination. No gross changes were detected in OL development in Zdhhc9 KO mice and analyses from P28 Zdhhc9 KO mice crossed with Mobp-EGFP reporter mice did not show changes in EGFP+ OL differentiation (Figure 3).

      However, and given the observed subcellular localization of ZDHHC9 in OL processes (Figure 2) and the observation that the percentage of unmyelinated axons is increased in Zdhhc9 KO (Figure 6), early time points to examine the differentiated pools of OLs and their capacity to extend processes/contact axons need to be considered.

      We appreciate this point, but due to the order in which experiments were performed, the ZDHHC9 KO mouse colony that we maintained after initial submission of this work contains homozygous MOBP-EGFP, but not the mT/mG transgene that would be most optimal for the proposed experiment. We hope the reviewer appreciates that it would take considerable time and effort regarding mouse breeding to cross out the MOBP and add back the mT/mG. We nonetheless appreciate the importance of the point raised and therefore examined an earlier developmental time point (P21, 3 weeks) to quantify OLs and NG2+ OPCs. In our updated Fig 3C1-C3, we use Mobp-EGFP mice to show that Zdhhc9 KO does not significantly affect the number of EGFP+ OLs at this time point in the cortex, corpus callosum and spinal cord. We also show that in corpus callosum, Zdhhc9 KO does not significantly affect the number of NG2+ OPCs at this earlier time point (Fig 3D, E). Furthermore, immunostaining to detect BCAS1, a marker of pre-mature OLs, also revealed no qualitative difference with ZDHHC9 loss at P21. We show representative images from these BCAS1 experiments in an updated Fig S3. While these new experiments do not address the morphology of OLs in Zdhhc9 KO, they do provide further evidence that deficits in myelination in young Zdhhc9 KO mice (Figure 6) are not likely due to gross differences in OPC or OL numbers during development.

      Maturation of OL in Zdhhc9 KO was examined by crossing Zdhhc9 KO with Pdgfra-CreER;R26- EGFP and following the newly EGFP-labelled OPCs following tamoxifen administration. No changes in the numbers of EGFP+ OL were detected. The authors concluded that the loss of ZDHHC9 does not alter oligodendrogenesis in either the young or mature CNS. The authors observed defects in Zdhhc9 KO OL protrusions that they attributed to abnormal OL membrane expansion (Fig 4 and 5). Can they show evidence for this?

      This is an important point, and we appreciate the opportunity to explain the reasoning behind our initial statement more fully, while noting that other explanations are possible. Fig 5B (an Imaris-assisted reconstruction using the EGFP cell fill/morphology marker) highlights large spheroid-like distensions along OL processes. We reason that these spheroids are enclosed by the OL lipid membrane because if the membrane were ruptured, the EGFP signal would likely diffuse. This in turn suggests that the caliber of the OL process at the position of the spheroid is grossly abnormal i.e. the membrane has hyper-expanded. Given that OL membrane growth during myelination extends in two directions, i.e., spiral growth to the axonal surface and longitudinal growth along the axon, it is possible that spheroid-like structures are formed by uneven myelin growth. We recognize that we cannot yet conclude whether and how spheroid formation might be linked to the myelination deficit that we observe in Zdhhc9 KO mice. However, defining the subcellular mechanism for spheroid formation may provide further insights into this issue. We have therefore largely retained the original statement but have added the reasoning above to our revised Discussion.

      The authors report that Zdhhc9 KO primary and secondary branches in OL were longer, some contained spheroid-like swellings and the OL protrusion complexity was higher. However, these data is partially contradictory to what they show in OL differentiation experiments in vitro (Fig 7). There is also no evidence for increased membrane expansion in Zdhhc9 knockdown myelin forming cells in culture. How to reconcile this? 

      We appreciate the reviewer’s interest in this issue. Several non-mutually exclusive factors could account for the differences in OL morphology in vitro versus in vivo caused by Zdhhc9 loss. First, morphology in vivo may well be influenced by the axons and/or other extrinsic components around each OL that are not present in our primary cultures. Second, OL growth in vivo is highly 3-dimensional, whereas growth in culture is largely 2-dimensional – it may be difficult to support formation of spheroids (by definition, a 3-dimensional structure) in the latter situation. Finally, Zdhhc9 is absent in vivo from the beginning of development until the time points examined, whereas in our cultured OL experiments, Zdhhc9 shRNA is virally delivered to OPC cultures at DIV2 and likely acutely affects Zdhhc9 expression predominantly in committed OLs (following the switch to differentiation medium at DIV3). These differences may also affect the ability of other PATs or, potentially, palmitoylation-independent subcellular processes, to compensate for Zdhhc9 loss. We have more fully explained these points in our revised Discussion. 

      Reviewer #2 (Public Review):

      This study provides an in-depth exploration of the impact of X-linked ZDHHC9 gene mutations on cognitive deficits and epilepsy, with a particular focus on the expression and function of ZDHHC9 in myelin-forming oligodendrocytes (OLs). These findings offer crucial insights into understanding ZDHHC9-related X-linked intellectual disability (XLID) and shed light on the regulatory mechanisms of palmitoylation in myelination. The experimental design and analysis of results are convincing, providing a valuable reference for further research in this field. However, upon careful review, I believe the article still needs further improvement and supplementation in the following aspects:

      (1) Regarding the subcellular localization experiment of ZDHHC9 mutants in OL, it is currently limited to in vitro cultured OL, lacking validation in vivo OL or myelin sheath. Additionally, it is necessary to investigate whether the abnormal subcellular localization of ZDHHC9 mutants affects their enzyme activity and palmitoylation modification of substrate proteins.

      This is an important point but is technically challenging to address in vivo as it would likely require delivery of AAV to express ZDHHC9wt and XLID mutants specifically in OLs, preferably in the absence of endogenous ZDHHC9. We hope the reviewers would agree that this experiment is beyond the scope of the current study. However, we did compare the ability of ZDHHC9wt and XLID mutants to palmitoylate MBP, and to autopalmitoylate (sometimes used as a surrogate measure of PAT activity) in transfected heterologous cells. Although we recognize that this over-expression system is less physiological than a native OL, it has the benefit of being able to readily compare transfected wt vs mutant forms of ZDHHC9 with minimal contribution from endogenous ZDHHC9. Intriguingly, using this system, we found that autopalmitoylation activity of the XLID ZDHHC9-P150S mutant does not differ significantly from that of ZDHHC9wt, and that this mutant is still capable of palmitoylating MBP. Moreover, the R96W mutant, while impaired in autopalmitoylation, still palmitoylated MBP approximately 50% as effectively as ZDHHC9wt in our cell-based assay. These findings suggest that ZDHHC9-P150S and, probably, ZDHHC9-R96W mutants might still be able to palmitoylate substrates in OLs if they were properly localized. This possibility in turn suggests that impaired subcellular targeting in addition to, or instead of, impaired catalytic activity, may be a key factor in certain cases of ZDHHC9-associated XLID. We have expanded our Figure 8 (new panels 8E-G) to show these additional experiments and have summarized the conclusions above in our revised Discussion. We thank the reviewer for suggesting that we further investigate this issue.

      (2) The experimental period (P21+21 days) using genetic labeling to track the development of myelinating cells may not be long enough. It is recommended to extend the observation time and analyze at more time points to more comprehensively reflect the impact of Zdhhc9 KO.

      We appreciate this point from the reviewer but, regrettably, we did not maintain the PdgfraCreER; R26-EGFP; Zdhhc9 KO mouse line and hope the reviewer appreciates that it would take considerable time and effort to rederive this line and then perform the suggested extended time course experiments. However, we note for the reviewer that our preliminary studies did not reveal any effect of Zdhhc9 KO on the number of MOBP-EGFP+ OLs in 6-month-old mice (not shown), consistent with a model in which Zdhhc9 loss does not affect OPC-OL commitment per se.

      (3) The author speculates that Zdhhc9 may regulate myelination by affecting the membrane localization of specific myelin proteins, but lacks direct experimental evidence to support this. It is suggested to detect the expression and distribution of relevant proteins in the myelin of Zdhhc9 KO mice.

      We share the reviewer’s interest in this point but realized that it is more technically challenging to address than might be initially thought. The main protein we would implicate and seek to test is MBP, but we already found that there is no gross change in MBP distribution in vivo in Zdhhc9 KO mice (Fig 3A). However, an anti-MBP antibody recognizes all forms of MBP, not just the specific splice variants whose palmitoylation is affected by ZDHHC9 loss. Specifically assessing nanoscale distribution of these splice variants would require a way (e.g. anti-MBP splice form-specific antibodies that are compatible with immuno-EM) to distinguish these variants from other, non-palmitoylated forms of MBP. Although such an antibody could be an important tool, we hope the reviewers would agree that developing and characterizing such a reagent is beyond the scope of the current study.

      We do, however, note that the lack of gross change in MBP distribution and levels in Zdhhc9 KO mice is consistent with the relatively mild phenotype of these mice, compared with shiverer (shi/shi) mice, in which MBP is completely lost. In shiverer, CNS compact myelin is almost absent (PMID: 671037; PMID: 88695; PMID: 460693) and, as the name suggests, mice display a shivering gait, and exhibit seizures and early death. In contrast, Zdhhc9 mice show only subtle behavioral deficits (PMID: 29944857). These differences are all consistent with a model in which Zdhhc9 KO mice, despite their significantly reduced MBP palmitoylation (Fig 8) have grossly normal distribution and levels of MBP when all splice variants are assessed (Fig 3, Fig 8). It is not inconceivable that Zdhhc9 KO mice have a nanoscale change in the distribution of MBP, particularly of specific palmitoylated splice variants, within myelin that profoundly affects myelin ultrastructure, without grossly altering MBP distribution. However, an alternative and not mutually exclusive possibility is that aberrant palmitoylation of other Zdhhc9 substrates accounts for, or contributes to, the abnormalities in myelin at the ultrastructural level. Addressing this issue would require a multi-pronged approach, not just to assess palmitoylation and distribution of such proteins in Zdhhc9 KO, but also to test whether they are direct Zdhhc9 substrates, in order to rule out indirect effects. We hope reviewers would agree that this is best left to a separate study. However, in our revised Discussion we now summarize what can be inferred regarding Zdhhc9-dependent effects on total and splicevariant specific distribution and levels of MBP.  

      (4) Although the article mentions the association of Zdhhc9 with intellectual disabilities, it does not involve behavioral analysis of Zdhhc9 KO mice. It is recommended to supplement some behavioral experimental data to support the important role of Zdhhc9 in maintaining normal cognitive function, enhancing the clinical relevance of the article.

      We appreciate this point from the reviewer. The behavior of the same ZDHHC9 KO mouse line that we used was reported in PMID: 31747610 and in PMID: 29944857. In the former study, Zdhhc9 KO mice were reported to display seizures reminiscent of phenotypes in human patients with ZDHHC9 mutation. The latter study assessed performance of Zddhc9 KO mice in several tasks that test cognitive function. Specifically the KO mice were reported to display “altered behaviour in the open-field test, elevated plus maze and acoustic startle test that is consistent with a reduced anxiety level; a reduced hang time in the hanging wire test that suggests underlying hypotonia but which may also be linked to reduced anxiety [and] deficits in the Morris water maze test of hippocampal-dependent spatial learning and memory.”. We have incorporate these findings in our revised Discussion, where we summarize how these phenotypes are common, not just to human patients with ZDHHC9 mutation, but also to other human neurodevelopmental conditions and mouse models in which ID is a common feature.

      (5) For the abnormal myelination observed in Zdhhc9 KO mice, including unmyelinated large-diameter axons and excessively myelinated small-diameter axons, the article lacks indepth research and explanation on the exact mechanism and mode of action of ZDHHC9 in regulating myelination.

      We share the reviewer’s interest in this point but again note that gaining definitive insights into this issue is far from trivial. Convincing evidence of a causative mechanism would require an exhaustive identification of ZDHHC9 in vivo substrates, followed by point mutation of substrate palmitoylation site(s) to determine the extent to which palmitoylation of such protein(s) phenocopies ZDHHC9 loss. Nonetheless, it is possible to break this question down and to summarize what we do and do not know. For example, our experiments in cultured OLs show that ZDHHC9 loss causes call-autonomous deficits in morphological maturation of these cells. We also know that ZDHHC9 loss results in impaired palmitoylation of MBP, a direct substrate for ZDHHC9. Moreover, loss of ZDHHC9 at Golgi outposts in OLs (a phenotype observed with several XLID-associated mutant forms of ZDHHC9, even those with no significant loss of catalytic activity) correlates with intellectual disability. Together, these findings are consistent with a model in which ZDHHC9 action at OL Golgi outposts is critical for normal myelination. However, it is yet to be determined whether the key substrates of ZDHHC9 include MBP, other palmitoyl-proteins that are key constituents of CNS myelin, or proteins whose palmitoylation is important for myelin protein trafficking and targeting. Another non-mutually exclusive possibility is that ZDHHC9 acts at Golgi outposts but indirectly, for example to drive the expression of myelin protein genes. Future experiments, including but not limited to palmitoyl-proteomics in ZDHHC9 (OL-specific) KO mice, will be needed to provide more definitive insights into this issue. We have expanded our Discussion of links between ZDHHC9 mutation and impaired myelination to summarize the above points.

      (6) The function of ZDHHC9 in OL may be related to the Golgi apparatus, but its exact role in these structures is still unclear. It is suggested to discuss in more detail the role of ZDHHC9 in the Golgi apparatus in the discussion section.

      We appreciate this point, which we considered as related to point (5) above. In our revised Discussion we highlight how ZDHHC9 action at Golgi outposts may involve direct palmitoylation of myelin proteins, palmitoylation of proteins that direct myelin proteins to the myelin membrane and/or activation of gene expression programs that serve to drive myelination. We further note that these possibilities are not mutually exclusive.

      (7) More experimental support and in-depth research are needed on the detailed mechanism of how ZDHHC9 and Golga7 cooperatively regulate MBP palmitoylation, and how this decrease in palmitoylation level leads to myelination defects.

      This is another important point – our new experiments suggest that, although some XLID mutations markedly affect ZDHHC9’s ability to palmitoylate MBP, others do not, yet all of the mutant forms fail to localize to Golgi outposts. These findings are consistent with a model in which the subcellular location at which ZDHHC9 palmitoylates MBP, and potentially other substrates, is critical for normal myelination. Interestingly, despite their marked differences in basal catalytic activity (as assessed by autopalmitoylation), wt and all XLID forms of ZDHHC9 appear to show enhanced activity (measured by both auto- and MBP palmitoylation) in the presence of ZDHHC9, suggesting that the association with Golga7 (which also localizes to Golgi outposts) is central to ZDHHC9 activity. This model is also highly consistent with the biased expression of Golga7 in OLs, compared to other CNS cell types (Fig 1E, 1F). Moreover, XLID-associated mutant forms of ZDHHC9 also show reduced protein stability and are impaired in their ability to form complexes with Golga7 (also known as Golgi Complex Protein 16kDa; GCP16; PMID: 37035671). Failure of ZDHHC9 XLID mutants to localize to Golgi outposts may thus be due to aberrant trafficking of mutant ZDHHC9 per se, but may also involve impaired association/stabilization of ZDHHC9/Golga7 complexes at these locations. Again, it is possible that either or both of these mechanisms, which are not mutually exclusive, contribute to impaired MBP palmitoylation and/or myelination deficits. We summarize these points in our revised Discussion.

      In summary, it is recommended that the authors address the above issues through additional experiments and improved discussions to further strengthen the credibility and clinical relevance of the article.

      Recommendations for the authors:  

      Reviewer #1 (Recommendations For The Authors):

      No gross changes were detected in OL development in Zdhhc9 KO mice and analyses from P28 Zdhhc9 KO mice crossed with Mobp-EGFP reporter mice did not show changes in EGFP+ OL differentiation (Figure 3). However, and given the observed subcellular localization of ZDHHC9 in OL processes (Figure 2) and the observation that the percentage of unmyelinated axons is increased in Zdhhc9 KO (Figure 6), ***early time points to examine the differentiated pools of OLs and their capacity to extend processes/contact axons need to be considered***.

      We appreciate this point, but due to the order in which experiments were performed, the ZDHHC9 KO mouse colony that we maintained after initial submission of this work contains homozygous MOBP-EGFP, but not the mT/mG transgene that would be most optimal for the proposed experiment. We hope the reviewer appreciates that it would take considerable time and effort regarding mouse breeding to cross out the MOBP and add back the mT/mG. We nonetheless appreciate the importance of the point raised and therefore examined an earlier developmental time point (P21, 3 weeks) to quantify OLs and NG2+ OPCs. In our updated Fig 3C1-C3, we use Mobp-EGFP mice to show that Zdhhc9 KO does not significantly affect the number of EGFP+ OLs at this time point in the cortex, corpus callosum and spinal cord. We also show that in corpus callosum, Zdhhc9 KO does not significantly affect the number of NG2+ OPCs at this earlier time point (Fig 3D, E). Furthermore, immunostaining to detect BCAS1, a marker of pre-mature OLs, also revealed no qualitative difference with ZDHHC9 loss at P21. We show representative images from these BCAS1 experiments in an updated Fig S3. While these new experiments do not address the morphology of OLs in Zdhhc9 KO, they do provide further evidence that deficits in myelination in young Zdhhc9 KO mice (Figure 6) are not likely due to gross differences in OPC or OL numbers during development.

      The authors observed defects in Zdhhc9 KO OL protrusions that they attributed to abnormal OL membrane expansion (Fig 4 and 5). Can they show evidence for this?

      This is an important point, and we appreciate the opportunity to explain the reasoning behind our initial statement more fully, while noting that other explanations are possible. Fig 5B (an Imaris-assisted reconstruction using the EGFP cell fill/morphology marker) highlights large spheroid-like distensions along OL processes. We reason that these spheroids are enclosed by the OL lipid membrane because if the membrane were ruptured, the EGFP signal would likely diffuse. This in turn suggests that the caliber of the OL process at the position of the spheroid is grossly abnormal i.e. the membrane has hyper-expanded. Given that OL membrane growth during myelination extends in two directions, i.e., spiral growth to the axonal surface and longitudinal growth along the axon, it is possible that spheroid-like structures are formed by uneven myelin growth. We recognize that we cannot yet conclude whether and how spheroid formation might be linked to the myelination deficit that we observe in Zdhhc9 KO mice.

      However, defining the subcellular mechanism for spheroid formation may provide further insights into this issue. We have therefore largely retained the original statement but have added the reasoning above to our revised Discussion.

      The authors report that Zdhhc9 KO primary and secondary branches in OL were longer, some contained spheroid-like swellings and the OL protrusion complexity was higher. However, these data is partially contradictory to what they show in OL differentiation experiments in vitro (Fig 7). There is also no evidence for increased membrane expansion in Zdhhc9 knockdown myelin forming cells in culture. How do they reconcile these different findings?

      We appreciate the reviewer’s interest in this issue. Several non-mutually exclusive factors could account for the differences in OL morphology in vitro versus in vivo caused by Zdhhc9 loss. First, morphology in vivo may well be influenced by the axons and/or other extrinsic components around each OL that are not present in our primary cultures. Second, OL growth in vivo is highly 3-dimensional, whereas growth in culture is largely 2-dimensional – it may be difficult to support formation of spheroids (by definition, a 3-dimensional structure) in the latter situation. Finally, Zdhhc9 is absent in vivo from the beginning of development until the time points examined, whereas in our cultured OL experiments, Zdhhc9 shRNA is virally delivered to OPC cultures at DIV2 and likely acutely affects Zdhhc9 expression predominantly in committed OLs (following the switch to differentiation medium at DIV3). These differences may also affect the ability of other PATs or, potentially, palmitoylation-independent subcellular processes, to compensate for Zdhhc9 loss. We have more fully explained these points in our revised Discussion. 

      Page 7: "The OL processes in this culture condition correspond to large lipid-rich membranous sheets that form spiral membrane expansion on axons in vivo (49)." At which stage are authors referring to? OL processes are extended in culture before membrane formation and this is not clear here. In a 3-days differentiation culture, most OLs have not yet formed a myelin sheath (eg., Figure 2 in Zuchero et al., 2015, Dev Cell).

      We appreciate the reviewer highlighting this point. We first note that our oligodendrocyte (OL) culture conditions differ from the immunopanning method used by Zuchero et al., 2015 (original reference (Emery and Dugas, 2013)), which may affect the time course and progression of OL process elaboration and/or myelin sheath formation. We further note that in our cultures most EGFP+ processes are also MBP+ at the time point examined (strictly 3 days plus 9 hours post-differentiation). It thus seems likely that these MBP+ structures largely correspond to the MBP+ wrapping sheaths that occur in vivo, so we have therefore retained our original statement but have added this further explanation.

      Minor: Figure 6 (Legend): Time points should be indicated throughout the panels.

      We have added this information as requested

      Reviewer 2 Recommendations for the Authors:

      (1) Regarding the subcellular localization experiment of ZDHHC9 mutants in OL, it is currently limited to in vitro cultured OL, lacking validation in vivo OL or myelin sheath. Additionally, it is necessary to investigate whether the abnormal subcellular localization of ZDHHC9 mutants affects their enzyme activity and palmitoylation modification of substrate proteins.

      We thank the reviewer for raising this point. New data in our revised Figure 8 compares autopalmitoylation (sometimes used as a surrogate measure of PAT activity) of ZDHHC9wt and XLID mutants, and their ability to palmitoylate MBP in transfected cells. Intriguingly, we found that autopalmitoylation activity of the ZDHHC9-P150S mutant does not differ significantly from that of ZDHHC9wt, and that this mutant is still capable of palmitoylating MBP. Moreover, the R96W mutant, while impaired in autopalmitoylation, still palmitoylated MBP approximately 50% as effectively as ZDHHC9wt in our cell-based assay. These findings suggest that ZDHHC9-P150S and, probably, ZDHHC9-R96W mutants might still be able to palmitoylate substrates in OLs if they were properly localized. This possibility in turn suggests that impaired subcellular targeting in addition to, or instead of, impaired catalytic activity, may be a key factor in certain cases of ZDHHC9-associated XLID. We have expanded our Figure 8 to show these new experiments and have summarized the conclusions above in our revised Discussion. We thank the reviewer for suggesting that we further investigate this issue.

      (2) The experimental period (P21+21 days) using genetic labeling to track the development of myelinating cells may not be long enough. It is recommended to extend the observation time and analyze at more time points to more comprehensively reflect the impact of Zdhhc9 KO.

      We appreciate this point from the reviewer but, regrettably, we did not maintain the PdgfraCreER; R26-EGFP; Zdhhc9 KO mouse line and hope the reviewer appreciates that it would take considerable time and effort to rederive this line and then perform the suggested extended time course experiments. However, we note for the reviewer that our preliminary studies did not reveal any effect of Zdhhc9 KO on the number of MOBP-EGFP+ OLs in 6-month-old mice (not shown), consistent with a model in which Zdhhc9 loss does not affect OPC-OL commitment per se.

      (3) The author speculates that Zdhhc9 may regulate myelination by affecting the membrane localization of specific myelin proteins, but lacks direct experimental evidence to support this. It is suggested to detect the expression and distribution of relevant proteins in the myelin of Zdhhc9 KO mice.

      We share the reviewer’s interest in this point but realized that it is more technically challenging to address than might be initially thought. The main protein we would implicate and seek to test is MBP, but we already found that there is no gross change in MBP distribution in vivo in Zdhhc9 KO mice (Fig 3A). However, an anti-MBP antibody recognizes all forms of MBP, not just the specific splice variants whose palmitoylation is affected by ZDHHC9 loss. Specifically assessing nanoscale distribution of these splice variants would require a way (e.g. am anti-MBP splice form-specific antibody that is compatible with immuno-EM) to distinguish these variants from other, non-palmitoylated forms of MBP. Although such an antibody could be an important tool we hope the reviewers would agree that developing and characterizing such a reagent is beyond the scope of the current study.

      We do, however, note that the lack of gross change in MBP distribution and levels in Zdhhc9 KO mice is consistent with the relatively mild phenotype of these mice, compared with shiverer (shi/shi) mice, in which MBP is completely lost. In shiverer, CNS compact myelin is almost absent (PMID: 671037; PMID: 88695; PMID: 460693) and, as the name suggests, mice display a shivering gait, and exhibit seizures and early death. In contrast, Zdhhc9 mice show only subtle behavioral deficits (PMID: 29944857). These differences are all consistent with a model in which Zdhhc9 KO mice, despite their significantly reduced MBP palmitoylation (Fig 8) have grossly normal distribution and levels of MBP when all splice variants are assessed (Fig 3, Fig 8). It is not inconceivable that Zdhhc9 KO mice have a nanoscale change in the distribution of MBP, particularly of specific palmitoylated splice variants, within myelin that profoundly affects myelin ultrastructure, without grossly altering MBP distribution. However, an alternative and not mutually exclusive possibility is that aberrant palmitoylation of other

      Zdhhc9 substrates accounts for, or contributes to, the abnormalities in myelin at the ultrastructural level. Addressing this issue would require a multi-pronged approach, not just to assess palmitoylation and distribution of such proteins in Zdhhc9 KO, but also to test whether they are direct Zdhhc9 substrates, in order to rule out indirect effects. We hope reviewers would agree that this is best left to a separate study. However, in our revised Discussion we now summarize what can be inferred regarding Zdhhc9-dependent effects on total and splicevariant specific distribution and levels of MBP.  

      (4) Although the article mentions the association of Zdhhc9 with intellectual disabilities, it does not involve behavioral analysis of Zdhhc9 KO mice. It is recommended to supplement some behavioral experimental data to support the important role of Zdhhc9 in maintaining normal cognitive function, enhancing the clinical relevance of the article.

      We appreciate this point from the reviewer. The behavior of the same ZDHHC9 KO mouse line that we used was reported in PMID: 31747610 and in PMID: 29944857. In the former study, Zdhhc9 KO mice were reported to display seizures reminiscent of phenotypes in human patients with ZDHHC9 mutation. The latter study assessed performance of Zddhc9 KO mice in several tasks that test cognitive function. Specifically the KO mice were reported to display “altered behaviour in the open-field test, elevated plus maze and acoustic startle test that is consistent with a reduced anxiety level; a reduced hang time in the hanging wire test that suggests underlying hypotonia but which may also be linked to reduced anxiety [and] deficits in the Morris water maze test of hippocampal-dependent spatial learning and memory.”. We have incorporate these findings in our revised Discussion, where we summarize how these phenotypes are common, not just to human patients with ZDHHC9 mutation, but also to other human neurodevelopmental conditions and mouse models in which ID is a common feature.

      (5) For the abnormal myelination observed in Zdhhc9 KO mice, including unmyelinated large-diameter axons and excessively myelinated small-diameter axons, the article lacks indepth research and explanation on the exact mechanism and mode of action of ZDHHC9 in regulating myelination.

      We share the reviewer’s interest in this point but again note that gaining definitive insights into this issue is far from trivial. Convincing evidence of a causative mechanism would require an exhaustive identification of ZDHHC9 in vivo substrates, followed by point mutation of substrate palmitoylation site(s) to determine the extent to which palmitoylation of such protein(s) phenocopies ZDHHC9 loss. Nonetheless, it is possible to break this question down and to summarize what we do and do not know. For example, our experiments in cultured OLs show that ZDHHC9 loss causes call-autonomous deficits in morphological maturation of these cells. We also know that ZDHHC9 loss results in impaired palmitoylation of MBP, a direct substrate for ZDHHC9. Moreover, loss of ZDHHC9 at Golgi outposts in OLs (a phenotype observed with several XLID-associated mutant forms of ZDHHC9, even those with no significant loss of catalytic activity) correlates with intellectual disability. Together, these findings are consistent with a model in which ZDHHC9 action at OL Golgi outposts is critical for normal myelination. However, it is yet to be determined whether the key substrates of ZDHHC9 include MBP, other palmitoyl-proteins that are key constituents of CNS myelin, or proteins whose palmitoylation is important for myelin protein trafficking and targeting. Another non-mutually exclusive possibility is that ZDHHC9 acts at Golgi outposts but indirectly, for example to drive the expression of myelin protein genes. Future experiments, including but not limited to palmitoyl-proteomics in ZDHHC9 (OL-specific) KO mice, will be needed to provide more definitive insights into this issue. We have expanded our Discussion of links between ZDHHC9 mutation and impaired myelination to summarize the above points.

      (6) The function of ZDHHC9 in OL may be related to the Golgi apparatus, but its exact role in these structures is still unclear. It is suggested to discuss in more detail the role of ZDHHC9 in the Golgi apparatus in the discussion section.

      We appreciate this point, which we considered as related to point (5) above. In our revised Discussion we highlight how ZDHHC9 action at Golgi outposts may involve direct palmitoylation of myelin proteins, palmitoylation of proteins that direct myelin proteins to the myelin membrane and/or activation of gene expression programs that serve to drive myelination. We further note that these possibilities are not mutually exclusive.

      (7) More experimental support and in-depth research are needed on the detailed mechanism of how ZDHHC9 and Golga7 cooperatively regulate MBP palmitoylation, and how this decrease in palmitoylation level leads to myelination defects.

      This is another important point – our new experiments suggest that, although some XLID mutations markedly affect ZDHHC9’s ability to palmitoylate MBP, others do not, yet all of the mutant forms fail to localize to Golgi outposts. These findings are consistent with a model in which the subcellular location at which ZDHHC9 palmitoylates MBP, and potentially other substrates, is critical for normal myelination. Interestingly, despite their marked differences in basal catalytic activity (as assessed by autopalmitoylation), wt and all XLID forms of ZDHHC9 appear to show enhanced activity (measured by both auto- and MBP palmitoylation) in the presence of ZDHHC9, suggesting that the association with Golga7 (which also localizes to Golgi outposts) is central to ZDHHC9 activity. This model is also highly consistent with the biased expression of Golga7 in OLs, compared to other CNS cell types (Fig 1E, 1F). Moreover, XLID-associated mutant forms of ZDHHC9 also show reduced protein stability and are impaired in their ability to form complexes with Golga7 (also known as Golgi Complex Protein 16kDa; GCP16; PMID: 37035671). Failure of ZDHHC9 XLID mutants to localize to Golgi outposts may thus be due to aberrant trafficking of mutant ZDHHC9 per se, but may also involve impaired association/stabilization of ZDHHC9/Golga7 complexes at these locations. Again, it is possible that either or both of these mechanisms, which are not mutually exclusive, contribute to impaired MBP palmitoylation and/or myelination deficits. We summarize these points in our revised Discussion.

    1. Reviewer #2 (Public review):

      In the present manuscript, Golf et al. investigate the consequences of astrocyte-specific deletion of Neuroligin (Nlgn) family cell adhesion proteins on synapse structure and function in the brain. Decades of prior research had shown that Neuroligins mediate their effects at synapses through their role in the postsynaptic compartment of neurons and their transsynaptic interaction with presynaptic Neurexins. More recently, it was proposed for the first time that Neuroligins expressed by astrocytes can also bind to presynaptic Neurexins to regulate synaptogenesis (Stogsdill et al. 2017, Nature). However, several aspects of the model proposed by Stogsdill et al. on astrocytic Neuroligin function conflict with prior evidence on the role of Neuroligins at synapse, prompting Golf et al. to further investigate astrocytic Neuroligin function in the current study. Using postnatal conditional deletion of Nlgn1-3 specifically from astrocytes in mice, Golf et al. show that virtually no changes in the expression of synaptic proteins or in the properties of synaptic transmission at either excitatory or inhibitory synapses are observed. Moreover, no alterations in the morphology of astrocytes themselves were found. To further extend this finding, the authors additionally analyzed human neurons co-cultured with mouse glia lacking expression of Nlgn1-4. No difference in excitatory synaptic transmission was observed between neurons cultured in the presence of wildtype vs. Nlgn1-4 conditional knockout glia. The authors conclude that while Neuroligins are indeed expressed in astrocytes and are hence likely to play some role there, this role does not include any direct consequences on synaptic structure and function, in direct contrast to the model proposed by Stogsdill et al.

      Overall, this is a strong study that addresses a fundamental and highly relevant question in the field of synaptic neuroscience. Neuroligins are not only key regulators of synaptic function, they have also been linked to numerous psychiatric and neurodevelopmental disorders, highlighting the need to precisely define their mechanisms of action. The authors take a wide range of approaches to convincingly demonstrate that under their experimental conditions, Nlgn1-3 are efficiently deleted from astrocytes in vivo, and that this deletion does not lead to major alterations in the levels of synaptic proteins or in synaptic transmission at excitatory or inhibitory synapses, or in the morphology of astrocytes. The authors have conducted an elegant and compelling analysis demonstrating efficient deletion of astrocytic Nlgn1-3, with deletion rates of 83-96% for Nlgn2 and Nlgn3, and 65-72% for Nlgn1. While the co-culture experiments provide additional support, they are not essential as the in vivo data on astrocytic Nlgn1-3 deletion are compelling on their own. Together, the data from this study provide compelling and important evidence that, whatever the role of astrocytic Neuroligins may be, they do not contribute substantially to synapse formation or function under the conditions investigated.

      Comments on revisions:

      All of my concerns have been satisfactorily addressed.<br /> The authors have fully addressed my concerns, and have in particular conducted a very elegant and compelling analysis of the degree of deletion of astrocytic Nlgn1-3/4 in their models. This greatly strengthens the main claims of their study and the fundamental nature of their conclusions for the field of synapse biology.<br /> Regarding the co-culture experiments, while I was initially concerned about the lack of controls demonstrating that glia affect synapse formation in human neurons, the authors have appropriately addressed this by clarifying the missing references and explaining that their culture system has been extensively validated in previous studies. Since the data on astrocytic Nlgn1-3 deletion in vivo are compelling on their own, the co-culture experiment provides useful additional support for the main conclusions.<br /> The authors have also added the mouse strain background information to the methods section as requested, which is important for interpreting potential differences with other studies.

    2. Author response:

      The following is the authors’ response to the previous reviews

      Public Reviews:

      Reviewer #1 (Public Review):

      Astrocytes are known to express neuroligins 1-3. Within neurons, these cell adhesion molecules perform important roles in synapse formation and function. Within astrocytes, a significant role for neuroligin 2 in determining excitatory synapse formation and astrocyte morphology was shown in 2017. However, there has been no assessment of what happens to synapses or astrocyte morphology when all three major forms of neuroligins within astrocytes (isoforms 1-3) are deleted using a well characterized, astrocyte specific, and inducible cre line. By using such selective mouse genetic methods, the authors here show that astrocytic neuroligin 1-3 expression in astrocytes is not consequential for synapse function or for astrocyte morphology. They reach these conclusions with careful experiments employing quantitative western blot analyses, imaging and electrophysiology. They also characterize the specificity of the cre line they used. Overall, this is a very clear and strong paper that is supported by rigorous experiments. The discussion considers the findings carefully in relation to past work. This paper is of high importance, because it now raises the fundamental question of exactly what neuroligins 1-3 are actually doing in astrocytes. In addition, it enriches our understanding of the mechanisms by which astrocytes participate in synapse formation and function. The paper is very clear, well written and well illustrated with raw and average data.

      Comments on revisions:

      My previous comments have been addressed. I have no additional points to make and congratulate the authors.

      Thank you for your acceptance.

      Reviewer #2 (Public Review):

      In the present manuscript, Golf et al. investigate the consequences of astrocyte-specific deletion of Neuroligin (Nlgn) family cell adhesion proteins on synapse structure and function in the brain. Decades of prior research had shown that Neuroligins mediate their effects at synapses through their role in the postsynaptic compartment of neurons and their transsynaptic interaction with presynaptic Neurexins. More recently, it was proposed for the first time that Neuroligins expressed by astrocytes can also bind to presynaptic Neurexins to regulate synaptogenesis (Stogsdill et al. 2017, Nature). However, several aspects of the model proposed by Stogsdill et al. on astrocytic Neuroligin function conflict with prior evidence on the role of Neuroligins at synapses, prompting Golf et al. to further investigate astrocytic Neuroligin function in the current study. Using postnatal conditional deletion of Nlgn1-3 specifically from astrocytes in mice, Golf et al. show that virtually no changes in the expression of synaptic proteins or in the properties of synaptic transmission at either excitatory or inhibitory synapses are observed. Moreover, no alterations in the morphology of astrocytes themselves were found. To further extend this finding, the authors additionally analyzed human neurons co-cultured with mouse glia lacking expression of Nlgn1-4. No difference in excitatory synaptic transmission was observed between neurons cultured in the present of wildtype vs. Nlgn1-4 conditional knockout glia. The authors conclude that while Neuroligins are indeed expressed in astrocytes and are hence likely to play some role there, this role does not include any direct consequences on synaptic structure and function, in direct contrast to the model proposed by Stogsdill et al.

      Overall, this is a strong study that addresses a fundamental and highly relevant question in the field of synaptic neuroscience. Neuroligins are not only key regulators of synaptic function, they have also been linked to numerous psychiatric and neurodevelopmental disorders, highlighting the need to precisely define their mechanisms of action. The authors take a wide range of approaches to convincingly demonstrate that under their experimental conditions, Nlgn1-3 are efficiently deleted from astrocytes in vivo, and that this deletion does not lead to major alterations in the levels of synaptic proteins or in synaptic transmission at excitatory or inhibitory synapses, or in the morphology of astrocytes. While the co-culture experiments are somewhat more difficult to interpret due to lack of a control for the effect of wildtype mouse astrocytes on human neurons, they are also consistent with the notion that deletion of Nlgn1-4 from astrocytes has no consequences for the function of excitatory synapses. Together, the data from this study provide compelling and important evidence that, whatever the role of astrocytic Neuroligins may be, they do not contribute substantially to synapse formation or function under the conditions investigated.

      Recommendations for the authors:

      Reviewer #2 (Recommendations for the authors):

      The authors have fully addressed my concerns, and have in particular conducted a very elegant and compelling analysis of the degree of deletion of astrocytic Nlgn1-3/4 in their models. This greatly strengthens the main claims of their study and the fundamental nature of their conclusions for the field of synapse biology.

      I am somewhat less convinced by the newly added experiment to investigate deletion of Nlgns1-4 from glia in glia-neuron co-cultures. The authors provide no evidence to show that either WT or cKO glia have any effect on synapse formation or function in human neurons, and therefore, the current lack of a difference could equally result from the fact that both WT and cKO glia were non-functional altogether. The authors cite two studies to state that human neurons do not form synapses in the absence of astrocytes, Zhang et al. 2013 and Huang et al. 2017, but neither seem to be listed in the references (unless Zhang et al. 2014 was meant), making it difficult to assess the relevance of these data. However, since the data on astrocytic Nlgn1-3 deletion in vivo are compelling on their own, I do not see the co-culture experiment as essential for the main conclusions of the study.

      Minor comment:

      Please add the information on the strain background of the mice to the methods section of the manuscript. Strain background can have a significant impact on many aspects of neuronal function, and this information is therefore essential for the interpretation of potential differences to other studies.

      We deeply apologize for forgetting to include the two important references mentioned by the reviewer in the reference list. We understand that the reviewer as a result could not assess the validity of our statement that co-culture of glia is required for efficient synapse formation by human neurons that are induced from ES or iPS cells. Note that this conclusion does not postulate that all synapse formation requires glia, since the cited papers demonstrate that human neurons induced by our protocol still form scarce synapses without glia. This observation has been confirmed in many different experiments that were performed after the data presented in the cited papers. As a result of this extensive prior documentation that human neurons produced by forced expression of Ngn2 require coculture of glia for efficient synapse formation, we do not feel that we need to repeat this basic characterization of our culture system again to validate multiple previous papers and hope the reviewer will concur. We have additionally added the relevant mouse strain information to the methods section.

    1. Reviewer #3 (Public review):

      Summary:

      Mora et al employ published ChIP-seq and RNA-seq from embryonic tissues to nominate transcription factors that work combinatorially during development. This manuscript addresses an important gap in knowledge regarding the complexities of gene regulation. However, as written, the manuscript is focused on confirming mostly known associations and does not unveil principles that can be broadly applied, given multiple technical caveats that are outlined below.

      Strengths:

      (1) Instead of focusing on a single transcription factor motif enriched within peaks, the authors search the flanking regions of enriched motifs to nominate additional transcription factors that may work cooperatively to provide organ specificity. This type of analysis is a crucial next step in the gene regulation field, as transcription factors rarely work independently.

      (2) Figure 6 is a good demonstration of the preliminary experiments that can be done to test the activity of co-occurring motifs.

      (3) This is a really nice resource of organ-specific motif associations that can be used to generate many testable hypotheses.

      (4) The rationale and writing are very clear and easy to read.

      Weaknesses:

      (1) Much of this manuscript focuses on confirming transcription factor relationships that have been reported previously. For example, it is well known that GATA4 interacts with MEF2 in the ventricle. There are limited new or unexpected associations discussed and tested.

      (2) Embryonic tissues are highly heterogeneous, limiting the utility of the bulk ChIP-seq employed in these analyses. Does the cellular heterogeneity explain the discrepancy between TEAD binding and histone acetylation? Similarly, how does conservation between species affect the TF predictions?

      (3) Some of the interpretations should also be fleshed out a bit more to clarify the advantage of the analyses presented here. For example, if Gata4 and Foxa2 transcripts are expressed during different stages of development, then it's likely that (as stated by the authors) these motifs are not used during the same stage of development. But examining the flanking regions wasn't necessary to make that statement. This type of conclusion seems tangential to the benefit of this analysis, which is to understand which TFs work together in a single organ at a single time point.

      (4) This manuscript hinges on luciferase assays whose results can be difficult to translate to complex gene regulation networks. Many motifs are often clustered together, which makes designing experiments at endogenous loci important in studies such as this one.

    2. Author response:

      Reviewer #1:

      Point 1

      Not many weaknesses, but probably validation at more enhancers could have made the paper stronger.

      We experimentally validated two sets of enhancers from two distinct tissues and observed similar effects. While this supports the idea that the TEAD-tissue-specific TF interaction we observe is not restricted to a single tissue, we agree that testing additional enhancers from a third tissue would strengthen our conclusions. We will acknowledge in the discussion that including a third tissue could provide additional support for the generality of our findings.

      Reviewer #2:

      Point 1

      The authors propose a mechanism of a TF trio (TEAD - CHD4 - tissue-specific TFs). However, only one validation experiment checked CHD4. CHD4 binding was not mentioned at all in the other cases.

      Indeed, CHD4 binding was experimentally validated at only one enhancer. This was a deliberate decision based on two key considerations:

      (1) Consistent functional response across enhancers: We tested multiple enhancers (n =8) for functional response to the TEAD+YAP and GATA4/6 combination. All enhancers tested exhibited the same trend—attenuation of GATA-mediated activation upon co-expression of TEAD or TEAD/YAP. This consistent pattern supports a shared mechanism across these elements.

      (2) Substantial prior evidence supporting CHD4 recruitment by both GATA4 and YAP: Specifically, CHD4 recruitment by GATA4 has been described in the context of cardiovascular development[1], and CHD4 can also be recruited by TEAD coactivator YAP2. Furthermore, published genomic occupancy data from embryonic heart tissue show widespread co-binding of GATA4, TEAD, and CHD4[1,3], including at most of the cardiac enhancers we functionally tested (4 out of 5).

      Given the consistent enhancer responses and the supporting literature and genomic data indicating TEAD-CHD4 co-occupancy, we chose to validate CHD4 binding at a representative enhancer as a proof of concept.

      We will clarify this rationale in the revised manuscript to better address this concern.

      Reviewer #2:

      Point 2

      The authors integrated E12.5 TEAD binding with E11.5 acetylation data, and it would be important to show that this experimental approach is valid or otherwise qualify its limitations.

      We will provide additional evidence in support of this approach in the revised manuscript or alternatively acknowledge its limitations.

      Reviewer #2:

      Point 3

      Motif co-occurrence analysis was extended to claiming TF interactions without further validation.

      We thank the reviewer for pointing out this important distinction. We reviewed the manuscript and identified seven instances where TF interactions were mentioned. Four of these correctly refer to previously established protein-protein interactions. For the remaining instances, we will adjust the wording to reflect the level of evidence, e.g.  describe combinatorial binding based on motif co-occurrence, rather than implying direct interaction.

      Reviewer #3:

      Point 1

      Much of this manuscript focuses on confirming transcription factor relationships that have been reported previously. For example, it is well known that GATA4 interacts with MEF2 in the ventricle. There are limited new or unexpected associations discussed and tested.

      We thank the reviewer for this important observation and see the recurrence of known interactions, such as GATA4-MEF2, not as a drawback, but as an important validation of our methodology.

      The identification of novel TF-TF combinations was geared toward uncovering shared regulatory principles across diverse human developmental tissues. While analysing 13 heterogeneous embryonic tissues introduced limitations, such as cellular complexity that may obscure rare interactions, it also allowed the identification of robust, recurrent patterns across tissues.  Indeed, using this approach, we identified the widespread combinatorial effect of TEAD in partnership with lineage-specific TFs, which is explored more in depth in the manuscript.

      Another main goal of the study was to develop and demonstrate a generalizable strategy for identifying combinatorial TF binding patterns that underlie tissue-specific gene regulation. Given the inherent heterogeneity of the embryonic organs analysed, the approach is naturally biased toward recovering the most prevalent, and often well-characterized, TF combinations. While we fully acknowledge this limitation, we believe that the ability to robustly recover well-established TF partnerships across multiple organs provides a valuable proof of concept. The next step will be to apply this strategy to single-cell RNA datasets, in order to define TF relationships at higher resolution, for example, resolving associations down to specific family members that cooperate within distinct lineages or cell types, and identifying less frequent or underrepresented TF-TF relationships.

      In this context, we believe that our strategy has successfully highlighted shared enhancer logic and offers a framework for future high-resolution dissection of TF cooperativity at the single-cell level. The rationale for analysing heterogeneous tissues, along with its limitations, will be addressed in the revised version.

      Reviewer #3:

      Point 2

      Embryonic tissues are highly heterogeneous, limiting the utility of the bulk ChIP-seq employed in these analyses. Does the cellular heterogeneity explain the discrepancy between TEAD binding and histone acetylation? Similarly, how does conservation between species affect the TF predictions?

      We thank the reviewer for raising these important points. We acknowledge the limitations of using bulk ChIP-seq data in the context of complex embryonic tissues (see also previous point). We cannot exclude that the discrepancy between TEAD binding and histone acetylation is an effect of cellular heterogeneity. Indeed, we mention in the results “Our ventricle-specific enhancers were sampled at a single time point and likely represent enhancers that are selectively active in different cell types and developmental stages, given the heterogeneity of cell types in the ventricle”. The limitation of bulk ChIP-seq will be addressed in the discussion. In the specific case of the enhancers selected for validation, the binding site sequences are conserved between species, suggesting that the cis-regulatory activity is likely to be similar in both.

      Reviewer #3:

      Point 3

      Some of the interpretations should also be fleshed out a bit more to clarify the advantage of the analyses presented here. For example, if Gata4 and Foxa2 transcripts are expressed during different stages of development, then it's likely that (as stated by the authors) these motifs are not used during the same stage of development. But examining the flanking regions wasn't necessary to make that statement. This type of conclusion seems tangential to the benefit of this analysis, which is to understand which TFs work together in a single organ at a single time point.

      We appreciate the reviewer’s comment and the opportunity to clarify our interpretation. The reviewer refers to the finding that GATA4 and FOXA2 motifs are flanked by different sets of motifs in liver enhancers, suggesting that these TFs operate within distinct regulatory contexts.

      Our aim was not to state that GATA4 and FOXA2 do not function simultaneously—this can indeed be inferred from their non-overlapping expression patterns. Rather, we intended to highlight the potential of our approach, even when applied to bulk data, to resolve distinct regulatory modules that may act in different subpopulations of cells or developmental windows within the same tissue.

      We will revise the relevant section of the manuscript to make this interpretative point clearer.

      Reviewer #3:

      Point 4

      This manuscript hinges on luciferase assays whose results can be difficult to translate to complex gene regulation networks. Many motifs are often clustered together, which makes designing experiments at endogenous loci important in studies such as this one.

      We agree with the Reviewer that luciferase assays represent an oversimplified model of gene regulation and do not fully capture the complexity of endogenous regulatory networks. We will explicitly acknowledge this limitation in the discussion.

      Mutagenesis of TEAD and tissue-specific TF motifs at endogenous loci would provide more conclusive evidence. However, our goal was to test the generality of TEAD effect across multiple enhancers and tissues. Despite its limitations, a luciferase-based assay was the most feasible approach, as an endogenous strategy would not have allowed us to assess a broader set of enhancers efficiently. Additionally, the presence of recurrent motifs and the potential functional redundancy among enhancers targeting the same gene can complicate the interpretation of single-locus perturbations.

      References

      (1) Robbe ZL, Shi W, Wasson LK, Scialdone AP, Wilczewski CM, Sheng X, et al. CHD4 is recruited by GATA4 and NKX2-5 to repress noncardiac gene programs in the developing heart. Genes Dev. 2022 Apr 1;36(7–8):468–82.

      (2) Kim M, Kim T, Johnson RL, Lim DS. Transcriptional Co-repressor Function of the Hippo Pathway Transducers YAP and TAZ. Cell Rep. 2015 Apr;11(2):270–82.

      (3) Akerberg BN, Gu F, VanDusen NJ, Zhang X, Dong R, Li K, et al. A reference map of murine cardiac transcription factor chromatin occupancy identifies dynamic and conserved enhancers. Nat Commun. 2019 Oct 28;10(1):4907.

    1. Reviewer #1 (Public review):

      Summary:

      The authors state the study's goal clearly: "The goal of our study was to understand to what extent animal individuality is influenced by situational changes in the environment, i.e., how much of an animal's individuality remains after one or more environmental features change." They use visually guided behavioral features to examine the extent of correlation over time and in a variety of contexts. They develop new behavioral instrumentation and software to measure behavior in Buridan's paradigm (and variations thereof), the Y-maze, and a flight simulator. Using these assays, they examine the correlations between conditions for a panel of locomotion parameters. They propose that inter-assay correlations will determine the persistence of locomotion individuality.

      Strengths:

      The OED defines individuality as "the sum of the attributes which distinguish a person or thing from others of the same kind," a definition mirrored by other dictionaries and the scientific literature on the topic. The concept of behavioral individuality can be characterized as: (1) a large set of behavioral attributes, (2) with inter-individual variability, that are (3) stable over time. A previous study examined walking parameters in Buridan's paradigm, finding that several parameters were variable between individuals, and that these showed stability over separate days and up to 4 weeks (DOI: 10.1126/science.aaw718). The present study replicates some of those findings and extends the experiments from temporal stability to examining correlation of locomotion features between different contexts.

      The major strength of the study is using a range of different behavioral assays to examine the correlations of several different behavior parameters. It shows clearly that the inter-individual variability of some parameters is at least partially preserved between some contexts, and not preserved between others. The development of high-throughput behavior assays and sharing the information on how to make the assays is a commendable contribution.

      Weaknesses:

      The definition of individuality considers a comprehensive or large set of attributes, but the authors consider only a handful. In Supplemental Fig. S8, the authors show a large correlation matrix of many behavioral parameters, but these are illegible and are only mentioned briefly in Results. Why were five or so parameters selected from the full set? How were these selected? Do the correlation trends hold true across all parameters? For assays in which only a subset of parameters can be directly compared, were all of these included in the analysis, or only a subset?

      The correlation analysis is used to establish stability between assays. For temporal re-testing, "stability" is certainly the appropriate word, but between contexts it implies that there could be 'instability'. Rather, instead of the 'instability' of a single brain process, a different behavior in a different context could arise from engaging largely (or entirely?) distinct context-dependent internal processes, and have nothing to do with process stability per se. For inter-context similarities, perhaps a better word would be "consistency".

      The parameters are considered one-by-one, not in aggregate. This focuses on the stability/consistency of the variability of a single parameter at a time, rather than holistic individuality. It would appear that an appropriate measure of individuality stability (or individuality consistency) that accounts for the high-dimensional nature of individuality would somehow summarize correlations across all parameters. Why was a multivariate approach (e.g. multiple regression/correlation) not used? Treating the data with a multivariate or averaged approach would allow the authors to directly address 'individuality stability', along with the analyses of single-parameter variability stability.

      The correlation coefficients are sometimes quite low, though highly significant, and are deemed to indicate stability. For example, in Figure 4C top left, the % of time walked at 23{degree sign}C and 32{degree sign}C are correlated by 0.263, which corresponds to an R2 of 0.069 i.e. just 7% of the 32{degree sign}C variance is predictable by the 23{degree sign}C variance. Is it fair to say that 7% determination indicates parameter stability? Another example: "Vector strength was the most correlated attention parameter... correlations ranged... to -0.197," which implies that 96% (1 - R2) of Y-maze variance is not predicted by Buridan variance. At what level does an r value not represent stability?

      The authors describe a dissociation between inter-group differences and inter-individual variation stability, i.e. sometimes large mean differences between contexts, but significant correlation between individual test and retest data. Given that correlation is sensitive to slope, this might be expected to underestimate the variability stability (or consistency). Is there a way to adjust for the group differences before examining correlation? For example, would it be possible to transform the values to in-group ranks prior to correlation analysis?

      What is gained by classifying the five parameters into exploration, attention, and anxiety? To what extent have these classifications been validated, both in general, and with regard to these specific parameters? Is increased walking speed at higher temperature necessarily due to increased 'explorative' nature, or could it be attributed to increased metabolism, dehydration stress, or a heat-pain response? To what extent are these categories subjective?

      The legends are quite brief and do not link to descriptions of specific experiments. For example, Figure 4a depicts a graphical overview of the procedure, but I could not find a detailed description of this experiment's protocol.

      Using the current single-correlation analysis approach, the aims would benefit from re-wording to appropriately address single-parameter variability stability/consistency (as distinct from holistic individuality). Alternatively, the analysis could be adjusted to address the multivariate nature of individuality, so that the claims and the analysis are in concordance with each other.

      The study presents a bounty of new technology to study visually guided behaviors. The Github link to the software was not available. To verify successful transfer or open-hardware and open-software, a report would demonstrate transfer by collaboration with one or more other laboratories, which the present manuscript does not appear to do. Nevertheless, making the technology available to readers is commendable.<br /> The study discusses a number of interesting, stimulating ideas about inter-individual variability and presents intriguing data that speaks to those ideas, albeit with the issues outlined above.

      While the current work does not present any mechanistic analysis of inter-individual variability, the implementation of high-throughput assays sets up the field to more systematically investigate fly visual behaviors, their variability, and their underlying mechanisms.

      Comments on revisions:

      I want to express my appreciation for the authors' responsiveness to the reviewer feedback. They appear to have addressed my previous concerns through various modifications including GLM analysis, however, some areas still require clarification for the benefit of an audience that includes geneticists.

      (1) GLM Analysis Explanation (Figure 9)<br /> While the authors state that their new GLM results support their original conclusions, the explanation of these results in the text is insufficient. Specifically:

      - The interpretation of coefficients and their statistical significance needs more detailed explanation. The audience includes geneticists and other non-statistical people, so the GLM should be explained in terms of the criteria or quantities used to assess how well the results conform with the hypothesis, and to what extent they diverge.<br /> - The criteria used to judge how well the GLM results support their hypothesis are not clearly stated.<br /> - The relationship between the GLM findings and their original correlation-based conclusions needs better integration and connection, leading the reader through your reasoning.

      (2) Documentation of Changes<br /> One struggle with the revised manuscript is that no "tracked changes" version was included, so it is hard to know exactly what was done. Without access to the previous version of the manuscript, it is difficult to fully assess the extent of revisions made. The authors should provide a more comprehensive summary of the specific changes implemented, particularly regarding:

      (3) Statistical Method Selection<br /> The authors mention using "ridge regression to mitigate collinearity among predictors" but do not adequately justify this choice over other approaches. They should explain:

      - Why ridge regression was selected as the optimal method<br /> - How the regularization parameter (λ) was determined<br /> - How this choice affects the interpretation of environmental parameters' influence on individuality

    2. Reviewer #3 (Public review):

      This manuscript is a continuation of past work by the last author where they looked at stochasticity in developmental processes leading to inter-individual behavioural differences. In that work, the focus was on a specific behaviour under specific conditions while probing the neural basis of the variability. In this work, the authors set out to describe in detail how stable individuality of animal behaviours is in the context of various external and internal influences. They identify a few behaviours to monitor (read outs of attention, exploration, and 'anxiety'); some external stimuli (temperature, contrast, nature of visual cues, and spatial environment); and two internal states (walking and flying).

      They then use high-throughput behavioural arenas - most of which they have built and made plans available for others to replicate - to quantify and compare combinations of these behaviours, stimuli, and internal states. This detailed analysis reveals that:

      (1) Many individualistic behaviours remain stable over the course of many days.<br /> (2) That some of these (walking speed) remain stable over changing visual cues. Others (walking speed and centrophobicity) remain stable at different temperatures.<br /> (3) All the behaviours they tested fail to remain stable over spatially varying environment (arena shape).<br /> (4) and only angular velocity (a read out of attention) remains stable across varying internal states (walking and flying)

      Thus, the authors conclude that there is a hierarchy in the influence of external stimuli and internal states on the stability of individual behaviours.

      The manuscript is a technical feat with the authors having built many new high-throughput assays. The number of animals are large and many variables have been tested - different types of behavioural paradigms, flying vs walking, varying visual stimuli, different temperature among others.

      Comments on revisions:'

      The authors have addressed my previous concerns.

    3. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews: 

      Reviewer #1 (Public Review): 

      Summary: 

      The authors state the study's goal clearly: "The goal of our study was to understand to what extent animal individuality is influenced by situational changes in the environment, i.e., how much of an animal's individuality remains after one or more environmental features change." They use visually guided behavioral features to examine the extent of correlation over time and in a variety of contexts. They develop new behavioral instrumentation and software to measure behavior in Buridan's paradigm (and variations thereof), the Y-maze, and a flight simulator. Using these assays, they examine the correlations between conditions for a panel of locomotion parameters. They propose that inter-assay correlations will determine the persistence of locomotion individuality.

      Strengths: 

      The OED defines individuality as "the sum of the attributes which distinguish a person or thing from others of the same kind," a definition mirrored by other dictionaries and the scientific literature on the topic. The concept of behavioral individuality can be characterized as: 

      (1) a large set of behavioral attributes, 

      (2) with inter-individual variability, that are 

      (3) stable over time. 

      A previous study examined walking parameters in Buridan's paradigm, finding that several parameters were variable between individuals, and that these showed stability over separate days and up to 4 weeks (DOI: 10.1126/science.aaw718). The present study replicates some of those findings and extends the experiments from temporal stability to examining the correlation of locomotion features between different contexts.

      The major strength of the study is using a range of different behavioral assays to examine the correlations of several different behavior parameters. It shows clearly that the inter-individual variability of some parameters is at least partially preserved between some contexts, and not preserved between others. The development of highthroughput behavior assays and sharing the information on how to make the assays is a commendable contribution.

      We thank the reviewer for his exceptionally kind assessment of our work!

      Weaknesses: 

      The definition of individuality considers a comprehensive or large set of attributes, but the authors consider only a handful. In Supplemental Fig. S8, the authors show a large correlation matrix of many behavioral parameters, but these are illegible and are only mentioned briefly in Results. 

      We have now uploaded a high-resolution PDF to the Github Address: https://github.com/LinneweberLab/Mathejczyk_2024_eLife_Individuality/blob/main/S8.pdf, and this is also mentioned in the figure legend for Fig. S8

      Why were five or so parameters selected from the full set? How were these selected? 

      The five parameters (% of time walked, walking speed, vector strength, angular velocity, and centrophobicity) were selected because they describe key aspects of the investigated behaviors that can be compared directly across assays. Importantly, several parameters we typically use (e.g., Linneweber et al., 2020) cannot be applied under certain conditions, such as darkness or the absence of visual cues. Furthermore, these five parameters encompass three critical aspects of navigation across standard visual behavioral arenas: (1) The “exploration” category is characterized by parameters describing the fly’s activity. (2) Parameters related to “attention” reflect heightened responses to visual cues, but unlike commonly used metrics such as angle or stripe deviations (e.g., Coulomb, 2012; Linneweber et al., 2020), they can also be measured in absence of visual cues and are therefore suitable for cross-assay comparisons. (3) The parameter “centrophobicity,” used as a potential indicator of anxiety, is conceptually linked to the open-field test in mice, where the ratio of wall-to-open-field activity is frequently calculated as a measurement of anxiety (see for example Carter, Sheh, 2015, chapter 2. https://www.sciencedirect.com/book/9780128005118/guide-to-researchtechniques-in-neuroscience). Admittedly, this view is frequently challenged in mice, but it has a long history which is why we use it.

      Do the correlation trends hold true across all parameters? For assays in which only a subset of parameters can be directly compared, were all of these included in the analysis, or only a subset? 

      As noted above, we only included a subset of parameters in our final analysis, as many were unsuitable for comparison across assays while still providing valuable assayspecific information which are important to relate these results to previous publications.

      The correlation analysis is used to establish stability between assays. For temporal retesting, "stability" is certainly the appropriate word, but between contexts, it implies that there could be 'instability'. Rather, instead of the 'instability' of a single brain process, a different behavior in a different context could arise from engaging largely (or entirely?) distinct context-dependent internal processes, and have nothing to do with process stability per se. For inter-context similarities, perhaps a better word would be "consistency". 

      Thank you for this suggestion. During the preparation of the manuscript, we indeed frequently alternated between the terms “stability” and “consistency.” And decided to go with “stability” as the only descriptor, to keep it simple. We now fully agree with the reviewer’s argument and have replaced “stability” by “consistency” throughout the current version of the manuscript in order to increase clarity and coherence.

      The parameters are considered one by one, not in aggregate. This focuses on the stability/consistency of the variability of a single parameter at a time, rather than holistic individuality. It would appear that an appropriate measure of individuality stability (or individuality consistency) that accounts for the high-dimensional nature of individuality would somehow summarize correlations across all parameters. Why was a multivariate approach (e.g. multiple regression/correlation) not used? Treating the data with a multivariate or averaged approach would allow the authors to directly address 'individuality stability' and analyses of single-parameter variability stability.

      We agree with the reviewer that a multivariate analysis adds clear advantages in terms of statistical power, in addition to our chosen approach. On one hand, we believe that the simplicity of our initial analysis, both for correlational and mean data, makes easy for readers to understand and reproduce our data. While preparing the previous version of the manuscript we were skeptical since more complex analyses often involve numerous choices, which can complicate reproducibility. For instance, a recent study in personality psychology (Paul et al., 2024) highlighted the risks of “forking paths” in statistical analysis, showing that certain choices of statistical methods could even reverse findings—a concern mitigated by our simplistic straightforward approach. Still, in preparation of this revised version of the manuscript, we accepted the reviewer’s advice and reanalyzed the data using a generalized linear model. This analysis nicely recapitulates our initial findings and is now summarized in a single figure (Fig. 9).

      The correlation coefficients are sometimes quite low, though highly significant, and are deemed to indicate stability. For example, in Figure 4C top left, the % of time walked at 23{degree sign}C and 32{degree sign}C are correlated by 0.263, which corresponds to an R2 of 0.069 i.e. just 7% of the 32{degree sign}C variance is predictable by the 23{degree sign}C variance. Is it fair to say that a 7% determination indicates parameter stability? Another example: "Vector strength was the most correlated attention parameter... correlations ranged... to -0.197," which implies that 96% (1 - R2) of Y-maze variance is not predicted by Buridan variance. At what level does an r value not represent stability?

      We agree that this is an important question. Our paper clearly demonstrates that individuality always plays a role in decision-making (and, in this context, any behavioral output can be considered a decision). However, the non-linear relationship between certain situations and the individual’s behavior often reduces the predictive value (or correlation) across contexts, sometimes quite drastically.

      For instance, temperature has a relatively linear effect on certain behavioral parameters, leading to predictable changes across individuals. As a result, correlations across temperature conditions are often similar to those observed across time within the same situation. In contrast, this predictability diminishes when comparing conditions like the presence or absence of visual stimuli, the use of different arenas, or different modalities.

      For this reason, we believe that significance remains the best indicator for describing how measurable individuality persists, even across vastly different situations.

      The authors describe a dissociation between inter-group differences and interindividual variation stability, i.e. sometimes large mean differences between contexts, but significant correlation between individual test and retest data. Given that correlation is sensitive to slope, this might be expected to underestimate the variability stability (or consistency). Is there a way to adjust for the group differences before examining the correlation? For example, would it be possible to transform the values to in-group ranks prior to correlation analysis?  

      We thank the reviewer for this suggestion, and we have now addressed this point. To account for slope effects, we have now introduced in-group ranks for our linear model computation (see Fig. 9). 

      What is gained by classifying the five parameters into exploration, attention, and anxiety? To what extent have these classifications been validated, both in general and with regard to these specific parameters? Is the increased walking speed at higher temperatures necessarily due to an increased 'explorative' nature, or could it be attributed to increased metabolism, dehydration stress, or a heat-pain response? To what extent are these categories subjective?

      We agree that grouping our parameters into traits like exploration, attention, and anxiety always includes subjective decisions. The classification into these three categories is even considered partially controversial in the mouse specific literature, which uses the term “anxiety” in similar experiments (see for exampler Carter, Sheh, 2015, chapter 2 . https://www.sciencedirect.com/book/9780128005118/guide-to-research-techniquesin-neuroscience). Nevertheless, we believe that readers greatly benefit from these categories, since they make it easier to understand (beyond mathematical correlations) which aspects of the flies’ individuality can be considered consistent across situations. Furthermore, these categories serve as a bridge to compare insight from very distinct models.

      The legends are quite brief and do not link to descriptions of specific experiments. For example, Figure 4a depicts a graphical overview of the procedure, but I could not find a detailed description of this experiment's protocol.

      We assume the reviewer is referring to Figure 3a. The detailed experimental protocol can be found in the Materials and Methods section under Setup 2: IndyTrax Multi-Arena Platform. We have now clarified this in the mentioned figure legend.

      Using the current single-correlation analysis approach, the aims would benefit from rewording to appropriately address single-parameter variability stability/consistency (as distinct from holistic individuality). Alternatively, the analysis could be adjusted to address the multivariate nature of individuality, so that the claims and the analysis are in concordance with each other.

      The reviewer raises an important point about hierarchies within the concept of animal individuality or personality. We agree that this is best addressed by first focusing on single behavioral traits/parameters and then integrating several trait properties into a cohesive concept of animal personality (holistic individuality). To ensure consistency throughout the text, we have now thoroughly reviewed the entire manuscript clearly distinguish between single-parameter variability stability/consistency and holistic individuality/personality.

      The study presents a bounty of new technology to study visually guided behaviors. The GitHub link to the software was not available. To verify the successful transfer of open hardware and open-software, a report would demonstrate transfer by collaboration with one or more other laboratories, which the present manuscript does not appear to do. Nevertheless, making the technology available to readers is commendable.

      We have now uploaded all codes and materials to GitHub and made them available as soon as we received the reviewers’ comments. All files and materials can be accessed at https://github.com/LinneweberLab/Mathejczyk_2024_eLife_Individuality, which is now frequently mentioned throughout the revised manuscript.

      The study discusses a number of interesting, stimulating ideas about inter-individual variability, and presents intriguing data that speaks to those ideas, albeit with the issues outlined above.

      While the current work does not present any mechanistic analysis of inter-individual variability, the implementation of high-throughput assays sets up the field to more systematically investigate fly visual behaviors, their variability, and their underlying mechanisms. 

      We thank the reviewer again for the extensive and constructive feedback.

      Reviewer #2 (Public Review): 

      Summary: 

      The authors repeatedly measured the behavior of individual flies across several environmental situations in custom-made behavioral phenotyping rigs.

      Strengths: 

      The study uses several different behavioral phenotyping devices to quantify individual behavior in a number of different situations and over time. It seems to be a very impressive amount of data. The authors also make all their behavioral phenotyping rig design and tracking software available, which I think is great and I'm sure other folks will be interested in using and adapting it to their own needs.

      We thank the reviewer for highlighting the strengths of our study.

      Weaknesses/Limitations: 

      I think an important limitation is that while the authors measured the flies under different environmental scenarios (i.e. with different lighting and temperature) they didn't really alter the "context" of the environment. At least within behavioral ecology, context would refer to the potential functionality of the expressed behaviors so for example, an anti-predator context, a mating context, or foraging. Here, the authors seem to really just be measuring aspects of locomotion under benign (relatively low-risk perception) contexts. This is not a flaw of the study, but rather a limitation to how strongly the authors can really say that this demonstrates that individuality is generalized across many different contexts. It's quite possible that rank order of locomotor (or other) behaviors may shift when the flies are in a mating or risky context. 

      We agree with the reviewer that the definition of environmental context can differ between fields and that behavioral context is differently defined, particularly in ecology. Nevertheless, we highlight that our alternations of environmental context are highly stereotypic, well-defined, and unbiased from any interpretation (we only modified what we stated in the experimental description without designing a specific situation that might be again perceived individually differently. E.g., comparing a context with a predator and one without might result in a binary response because one fraction of the tested individuals might perceive the predator in the predator situation, and the other half does not. 

      The analytical framework in terms of statistical methods is lacking. It appears as though the authors used correlations across time/situations to estimate individual variation; however, far more sophisticated and elegant methods exist. The paper would be a lot stronger, and my guess is, much more streamlined if the authors employ hierarchical mixed models to analyse these data these models could capture and estimate differences in individual behavior across time and situations simultaneously. Along with this, it's currently unclear whether and how any statistical inference was performed. Right now, it appears as though any results describing how individuality changes across situations are largely descriptive (i.e. a visual comparison of the strengths of the correlation coefficients?). 

      The reviewer raises an important point, also raised by reviewer #1. On one hand, we agree with both reviewers that a more aggregated analysis has clear advantages like more statistical power and has the potential to streamline our manuscript, which is why we added such an analysis (see below). On the other hand, we would also like to defend the initial approach we took, since we think that the simplicity of the analysis for both correlational and mean data is easy to understand and reproduce. More complex analyses necessarily include the selection of a specific statistical toolbox by the experimenters and based on these decisions, different analyses become less comparable and more and more complicated to reproduce, unless the entire decision tree is flawlessly documented. For instance, a recent personality psychology paper investigated the relationship between statistical paths within the decision tree (forking analysis) and their results, leading to very surprising results (Paul et al., 2024), since some paths even reversed their findings. Such a variance in conclusions is hardly possible with the rather simplistic and easily reproducible analysis we performed. One of the major strengths of our study is the simple experimental design, allowing for rather simple and easy to understand analyses.

      We nevertheless took the reviewer’s advice very seriously and reanalyzed the data using a generalized linear model, which largely recapitulated the findings of our previously performed “low-tech” analysis in a single figure (Fig. 9).

      Another pretty major weakness is that right now, I can't find any explicit mention of how many flies were used and whether they were re-used across situations. Some sort of overall schematic showing exactly how many measurements were made in which rigs and with which flies would be very beneficial. 

      We apologize for this inconvenience. A detailed overview of male and female sample sizes has been listed in the supplemental boxplots next to the plots (e.g, Fig S6). Apparently, this was not visible enough. Therefore, we have now also uniformly added the sample sizes to the main figure legends.

      I don't necessarily doubt the robustness of the results and my guess is that the author's interpretations would remain the same, but a more appropriate modeling framework could certainly improve their statistical inference and likely highlight some other cool patterns as these methods could better estimate stability and covariance in individual intercepts (and potentially slopes) across time and situation.

      As described above, we have now added the suggested analyses. We hope that the reviewer will appreciate the new Fig. 9, which, in our opinion, largely confirms our previous findings using a more appropriate generalized linear modelling framework.

      Reviewer #3 (Public Review): 

      This manuscript is a continuation of past work by the last author where they looked at stochasticity in developmental processes leading to inter-individual behavioural differences. In that work, the focus was on a specific behaviour under specific conditions while probing the neural basis of the variability. In this work, the authors set out to describe in detail how stable the individuality of animal behaviours is in the context of various external and internal influences. They identify a few behaviours to monitor (read outs of attention, exploration, and 'anxiety'); some external stimuli (temperature, contrast, nature of visual cues, and spatial environment); and two internal states (walking and flying).

      They then use high-throughput behavioural arenas - most of which they have built and made plans available for others to replicate - to quantify and compare combinations of these behaviours, stimuli, and internal states. This detailed analysis reveals that:

      (1) Many individualistic behaviours remain stable over the course of many days. 

      (2) That some of these (walking speed) remain stable over changing visual cues. Others (walking speed and centrophobicity) remain stable at different temperatures.

      (3) All the behaviours they tested failed to remain stable over the spatially varying environment (arena shape).

      (4) Only angular velocity (a readout of attention) remains stable across varying internal states (walking and flying).

      Thus, the authors conclude that there is a hierarchy in the influence of external stimuli and internal states on the stability of individual behaviours.

      The manuscript is a technical feat with the authors having built many new highthroughput assays. The number of animals is large and many variables have been tested - different types of behavioural paradigms, flying vs walking, varying visual stimuli, and different temperatures among others. 

      We thank the reviewer for this extraordinary kind assessment of our work!

      Recommendations for the authors:  

      Reviewing Editor (Recommendations For The Authors): 

      While appreciating the effort and quality of the work that went into this manuscript, the reviewers identified a few key points that would greatly benefit this work.

      (1) Statistical methods adopted. The dataset produced through this work is large, with multiple conditions and comparisons that can be made to infer parameters that both define and affect the individualistic behaviour of an animal. Hierarchical mixed models would be a more appropriate approach to handle such datasets and infer statistically the influence of different parameters on behaviours. We recommend that the authors take this approach in the analyses of their data.

      (2) Brevity in the text. We urge the authors to take advantage of eLife's flexible template and take care to elaborate on the text in the results section, the methods adopted, the legends, and the guides to the legends embedded in the main text. The findings are likely to be of interest to a broad audience, and the writing currently targets the specialist.

      Reviewer #2 (Recommendations For The Authors): 

      I want to start by saying this seems like a really cool study! It's an impressive amount of work and addressing a pretty basic question that is interesting (at least I think so!)

      We thank the reviewer again for this assessment!

      That said, I would really strongly recommend the authors embrace using mixed/hierarchical models to analyze their data. They're producing some really impressive data and just doing Pearson correlation coefficients across time points and situations is very clunky and actually losing out on a lot of information. The most up-todate, state-of-the-art are mixed models - these models can handle very complex (or not so complex) random structures which can estimate variance and importantly, covariance, in individual intercepts both over time and across situations. I actually think this could add some really cool insights into the data and allow you to characterize the patterns you're seeing in far more detail. It's datasets exactly like this that are tailormade for these complex variance partitioning models! 

      As mentioned before, we have now adopted a more appropriate GLM-based data analysis (see above).

      Regardless of which statistical methods you decide to use, please explicitly state in your methods exactly what analyses you did. That is completely lacking now and was a bit frustrating. As such, it's completely unclear whether or how statistical inference was performed. How did you do the behavioral clustering? 

      We apologize that these points were not clearly represented in the previous version of the manuscript. We have now significantly extended the methods section to include a separate paragraph on the statistical methods used, in order to address this critique and hope that the revised version is clear now.

      Also, I could not for the life of me figure out how many flies had been measured. Were they reused across the situation? Or not?

      We reused the same flies across situations whenever possible. However, having one fly experience all assays consecutively was not feasible due to their fragility. Instead, individual flies were exposed to at least 2 of the 3 groups of assays used here: in the Indytrax setup ,  the Buridan arenas and variants thereof, and the virtual arenas Hence, we have compared flies across entirely different setups, but the number of times flies can be retested is limited (as otherwise, sample sizes will drop over time, and the flies will have gone through too many experimental alternations). To make this more clear, we have elaborated on this point in the main text, and we added group sample sizes to figure legends r.

      What are these "groups" and "populations" that are referred to in the results (e.g. lines 384, 391, 409)?

      We apologize for using these two terms somewhat interchangeably without proper introduction/distinction. We have now made this more clear in at the beginning of the results in the main text, by focusing on the term ‘group’. By ‘group’ we refer to the average of all individuals tested in the same situation. Sample sizes in the figure legends now indicate group/population sizes to make this clearer.

      Some of the rationale for the development of the behavioral rigs would have actually been nice to include in the intro, rather than in the results.

      This rationale is introduced at the beginning of the last paragraph of the introduction. We hope that this now becomes clear in the revised version of the manuscript.

      Reviewer #3 (Recommendations For The Authors): 

      This manuscript would do well to take advantage of eLife's flexible word limit. I sense that it has been written in brevity for a different journal but I would urge the authors to revisit this and unpack the language here - in the text, in the figure legends, in references to the figures within the text. The way it's currently written, though not misleading, will only speak to the super-specialist or the super-invested :). But the findings are nice, and it would be nice to tailor it to a broader audience.

      We appreciate this suggestion. Initially, we were hoping that we had described our results as clearly and brief as possible. We apologize if that was not always the case. The comments and requests of all three reviewers now led to a series of additions to both main text and methods, leading to a significantly expanded manuscript. We hope that these additons are helpful for the general, non-expert audience.

    1. Reviewer #2 (Public review):

      Summary:

      In this study, Hill and colleagues use a novel reinforcement-based motor learning task ("RML"), asking how aspects of RML change over the course of development from toddler years through adolescence. Multiple versions of the RML task were used in different samples, which varied on two dimensions: whether the reward probability of a given hand movement direction was deterministic or probabilistic, and whether the solution space had continuous reach targets or discrete reach targets. Using analyses of both raw behavioral data and model fits, the authors report four main results: First, developmental improvements reflected 3 clear changes, including increases in exploration, an increase in the RL learning rate, and a reduction of intrinsic motor noise. Second, changes to the task that made it discrete and/or deterministic both rescued performance in the youngest age groups, suggesting that observed deficits could be linked to continuous/probabilistic learning settings. Overall, the results shed light on how RML changes throughout human development, and the modeling characterizes the specific learning deficits seen in the youngest ages.

      Strengths:

      (1) This impressive work addresses an understudied subfield of motor control/psychology - the developmental trajectory of motor learning. It is thus timely and will interest many researchers.

      (2) The task, analysis, and modeling methods are very strong. The empirical findings are rather clear and compelling, and the analysis approaches are convincing. Thus, at the empirical level, this study has very few weaknesses.

      (3) The large sample sizes and in-lab replications further reflect the laudable rigor of the study.

      (4) The main and supplemental figures are clear and concise.

    2. Author response:

      The following is the authors’ response to the original reviews

      Overview of changes in the revision

      We thank the reviewers for the very helpful comments and have extensively revised the paper. We provide point-by-point responses below and here briefly highlight the major changes:

      (1) We expanded the discussion of the relevant literature in children and adults.

      (2) We improved the contextualization of our experimental design within previous reinforcement studies in both cognitive and motor domains highlighting the interplay between the two.

      (3) We reorganized the primary and supplementary results to better communicate the findings of the studies.

      (4) The modeling has been significantly revised and extended. We now formally compare 31 noise-based models and one value-based model and this led to a different model from the original being the preferred model. This has to a large extent cleaned up the modeling results. The preferred model is a special case (with no exploration after success) of the model proposed in Therrien et al. (2018). We also provide examples of individual fits of the model, fit all four tasks and show group fits for all, examine fits vs. data for the clamp phases by age, provide measures of relative and absolute goodness of fit, and examine how the optimal level of exploration varies with motor noise.

      Reviewer #1 (Public review):

      Summary:

      Here the authors address how reinforcement-based sensorimotor adaptation changes throughout development. To address this question, they collected many participants in ages that ranged from small children (3 years old) to adulthood (1 8+ years old). The authors used four experiments to manipulate whether binary and positive reinforcement was provided probabilistically (e.g., 30 or 50%) versus deterministically (e.g., 100%), and continuous (infinite possible locations) versus discrete (binned possible locations) when the probability of reinforcement varied along the span of a large redundant target. The authors found that both movement variability and the extent of adaptation changed with age.

      Thank you for reviewing our work. One note of clarification. This work focuses on reinforcementbased learning throughout development but does not evaluate sensorimotor adaptation. The four tasks presented in this work are completed with veridical trajectory feedback (no perturbation).

      The goal is to understand how children at different ages adjust their movements in response to reward feedback but does not evaluate sensorimotor adaptation. We now explain this distinction on line 35.

      Strengths:

      The major strength of the paper is the number of participants collected (n = 385). The authors also answer their primary question, that reinforcement-based sensorimotor adaptation changes throughout development, which was shown by utilizing established experimental designs and computational modelling.

      Thank you.

      Weaknesses:

      Potential concerns involve inconsistent findings with secondary analyses, current assumptions that impact both interpr tation and computational modelling, and a lack of clearly stated hypotheses.

      (1) Multiple regression and Mediation Analyses.

      The challenge with these secondary analyses is that:

      (a) The results are inconsistent between Experiments 1 and 2, and the analysis was not performed for Experiments 3 and 4,

      (b) The authors used a two-stage procedure of using multiple regression to determine what variables to use for the mediation analysis, and

      (c)The authors already have a trial-by-trial model that is arguably more insightful.

      Given this, some suggested changes are to:

      (a) Perform the mediation analysis with all the possible variables (i.e., not informed by multiple regression) to see if the results are consistent.

      (b) Move the regression/mediation analysis to Supplementary, since it is slightly distracting given current inconsistencies and that the trial-by-trial model is arguably more insightful.

      Based on these comments, we have chosen to remove the multiple regression and mediation analyses. We agree that they were distracting and that the trial-by-trial model allows for differentiation of motor noise from exploration variability in the learning block.

      (2) Variability for different phases and model assumptions:

      A nice feature of the experimental design is the use of success and failure clamps. These clamped phases, along with baseline, are useful because they can provide insights into the partitioning of motor and exploratory noise. Based on the assumptions of the model, the success clamp would only reflect variability due to motor noise (excludes variability due to exploratory noise and any variability due to updates in reach aim). Thus, it is reasonable to expect that the success clamps would have lower variability than the failure clamps (which it obviously does in Figure 6), and presumably baseline (which provides success and failure feedback, thus would contain motor noise and likely some exploratory noise).

      However, in Figure 6, one visually observes greater variability during the success clamp (where it is assumed variability only comes from motor noise) compared to baseline (where variability would come from: (a) Motor noise.

      (b) Likely some exploratory noise since there were some failures.

      (c) Updates in reach aim.

      Thanks for this comment. It made us realize that some of our terminology was unintentionally misleading. Reaching to discrete targets in the Baseline block was done to a) determine if participants could move successfully to targets that are the same width as the 100% reward zone in the continuous targets and b) determine if there are age dependent changes in movement precision. We now realize that the term Baseline Variability was misleading and should really be called Baseline Precision.

      This is an important distinction that bears on this reviewer's comment. In clamp trials, participants move to continuous targets. In baseline, participants move to discrete targets presented at different locations. Clamp Variability cannot be directly compared to Baseline Precision because they are qualitatively different. Since the target changes on each baseline trial, we would not expect updating of desired reach (the target is the desired reach) and there is therefore no updating of reach based on success or failure. The SD we calculate over baseline trials is the endpoint variability of the reach locations relative to the target centers. In success clamp, there are no targets so the task is qualitatively different.

      We have updated the text to clarify terminology, expand upon our operational definitions, and motivate the distinct role of the baseline block in our task paradigm (line 674).

      Given the comment above, can the authors please:

      (a) Statistically compare movement variability between the baseline, success clamp, and failure clamp phases.

      Given our explanation in the previous point we don't think that comparing baseline to the clamp makes sense as the trials are qualitatively different.

      (b) The authors have examined how their model predicts variability during success clamps and failure clamps, but can they also please show predictions for baseline (similar to that of Cashaback et al., 2019; Supplementary B, which alternatively used a no feedback baseline)?

      Again, we do not think it makes sense to predict the baseline which as we mention above has discrete targets compared to the continuous targets in the learning phase.

      (c) Can the authors show whether participants updated their aim towards their last successful reach during the success clamp? This would be a particularly insightful analysis of model assumptions.

      We have now compared 31 models (see full details in next response) which include the 7 models in Roth et al. (2023). Several of these model variants have updating even after success with so called planning noise). We also now fit the model to the data that includes the clamp phases (we can't easily fit to success clamp alone as there are only 10 trials). We find that the preferred model is one that does not include updating after success.

      (d) Different sources of movement variability have been proposed in the literature, as have different related models. One possibility is that the nervous system has knowledge of 'planned (noise)' movement variability that is always present, irrespective of success (van Beers, R.J. (2009). Motor learning is optimally tuned to the properties of motor noise. Neuron, 63(3), 406-417). The authors have used slightly different variations of their model in the past. Roth et al (2023) directly Rill compared several different plausible models with various combinations of motor, planned, and exploratory noise (Roth A, 2023, "Reinforcement-based processes actively regulate motor exploration along redundant solution manifolds." Proceedings of the Royal Society B 290: 20231475: see Supplemental). Their best-fit model seems similar to the one the authors propose here, but the current paper has the added benefit of the success and failure clamps to tease the different potential models apart. In light of the results of a), b), and c), the authors are encouraged to provide a paragraph on how their model relates to the various sources of movement variability and ther models proposed in the literature.

      Thank you for this. We realized that the models presented in Roth et al. (2023) as well as in other papers, are all special cases of a more general model. Moreover, in total there are 30 possible variants of the full model so we have now fit all 31 models to our larger datasets and performed model selection (Results and Methods). All the models can be efficiently fit by Kalman smoother to the actual data (rather than to summary statistics which has sometimes been done). For model selection, we fit only the 100 learning trials and chose the preferred model based on BIC on the children's data (Figure 5—figure Supplement 1). After selecting the preferred model we then refit this model to all trials including the clamps so as to obtain the best parameter estimates.

      The preferred model was the same whether we combined the continuous and discrete probabilistic data or just examin d each task separately either for only the children or for the children and adults combined. The preferred model is a pecial case (no exploration after success) of the one proposed in Therrien et al. (2018) and has exploration variability (after failure) and motor noise with full updating with exploration variability (if any) after success. This model differs from the model in the original submission which included a partial update of the desired reach after exploration this was considered the learning rate. The current model suggests a unity learning rate.

      In addition, as suggested by another reviewer, we also fit a value-based model which we adapted from the model described in Giron et al. (2023). This model was not preferred.

      We have added a paragraph to the Discussion highlighting different sources of variability and links to our model comparison.

      (e) line 155. Why would the success clamp be composed of both motor and exploratory noise? Please clarify in the text

      This sentence was written to refer to clamps in general and not just success clamps. However, in the revision this sentence seemed unnecessary so we have removed it.

      (3) Hypotheses:

      The introduction did not have any hypotheses of development and reinforcement, despite the discussion above setting up potential hypotheses. Did the authors have any hypotheses related to why they might expect age to change motor noise, exploratory noise, and learning rates? If so, what would the experimental behaviour look like to confirm these hypotheses? Currently, the manuscript reads more as an exploratory study, which is certainly fine if true, it should just be explicitly stated in the introduction. Note: on line 144, this is a prediction, not a hypothesis. Line 225: this idea could be sharpened. I believe the authors are speaking to the idea of having more explicit knowledge of action-target pairings changing behaviour.

      We have included our hypotheses and predictions at two points in the paper In the introduction we modified the text to:

      "We hypothesized that children's reinforcement learning abilities would improve with age, and depend on the developmental trajectory of exploration variability, learning rate (how much people adjust their reach after success), and motor noise (here defined as all sources of noise associated with movement, including sensory noise, memory noise, and motor noise). We think that these factors depend on the developmental progression of neural circuits that contribute to reinforcement learning abilities (Raznahan et al., 2014; Nelson et al., 2000; Schultz, 1998)."

      In results we modified the sentence to:

      "We predicted that discrete targets could increase exploration by encouraging children to move to a different target after failure.”

      Reviewer #2 (Public review):

      Summary:

      In this study, Hill and colleagues use a novel reinforcement-based motor learning task ("RML"), asking how aspects of RML change over the course of development from toddler years through adolescence. Multiple versions of the RML task were used in different samples, which varied on two dimensions: whether the reward probability of a given hand movement direction was deterministic or probabilistic, and whether the solution space had continuous reach targets or discrete reach targets. Using analyses of both raw behavioral data and model fits, the authors report four main results: First, developmental improvements reflected 3 clear changes, including increases in exploration, an increase in the RL learning rate, and a reduction of intrinsic motor noise. Second, changes to the task that made it discrete and/or deterministic both rescued performance in the youngest age groups, suggesting that observed deficits could be linked to continuous/probabilistic learning settings. Overall, the results shed light on how RML changes throughout human development, and the modeling characterizes the specific learning deficits seen in the youngest ages.

      Strengths:

      (1) This impressive work addresses an understudied subfield of motor control/psychology - the developmental trajectory of motor learning. It is thus timely and will interest many researchers.

      (2) The task, analysis, and modeling methods are very strong. The empirical findings are rather clear and compelling, and the analysis approaches are convincing. Thus, at the empirical level, this study has very few weaknesses.

      (3) The large sample sizes and in-lab replications further reflect the laudable rigor of the study.

      (4) The main and supplemental figures are clear and concise.

      Thank you.

      Weaknesses:

      (1) Framing.

      One weakness of the current paper is the framing, namely w/r/t what can be considered "cognitive" versus "non-cognitive" ("procedural?") here. In the Intro, for example, it is stated that there are specific features of RML tasks that deviate from cognitive tasks. This is of course true in terms of having a continuous choice space and motor noise, but spatially correlated reward functions are not a unique feature of motor learning (see e.g. Giron et al., 2023, NHB). Given the result here that simplifying the spatial memory demands of the task greatly improved learning for the youngest cohort, it is hard to say whether the task is truly getting at a motor learning process or more generic cognitive capacities for spatial learning, working memory, and hypothesis testing. This is not a logical problem with the design, as spatial reasoning and working memory are intrinsically tied to motor learning. However, I think the framing of the study could be revised to focus in on what the authors truly think is motor about the task versus more general psychological mechanisms. Indeed, it may be the case that deficits in motor learning in young children are mostly about cognitive factors, which is still an interesting result!

      Thank you for these comments on the framing of our study. We now clearly acknowledge that all motor tasks have cognitive components (new paragraph at line 65). We also explain why we think our tasks has features not present in typical cognitive tasks.

      (2) Links to other scholarship.

      If I'm not mistaken a common observation in tudies of the development of reinforcement learning is a decrease in exploration over-development (e.g., Nussenbaum and Hartley, 2019; Giron et al., 2023; Schulz et al., 2019); this contrasts with the current results which instead show an increase. It would be nice to see a more direct discussion of previous findings showing decreases in exploration over development, and why the current study deviates from that. It could also be useful for the authors to bring in concepts of different types of exploration (e.g. "directed" vs "random"), in their interpretations and potentially in their modeling.

      We recognize that our results differ from prior work. The optimal exploration pattern differs from task to task. We now discuss that exploration is not one size fits all, it's benefits vary depending upon the task. We have added the following paragraphs to the Discussion section:

      "One major finding from this study is that exploration variability increases with age. Some other studies of development have shown that exploration can decrease with age indicating that adults explore less compared to children (Schulz et al., 2019; Meder et al., 2021; Giron et al., 2023). We believe the divergence between our work and these previous findings is largely due to the experimental design of our study and the role of motor noise. In the paradigm used initially by Schulz et al. (2019) and replicated in different age groups by Meder et al. (2021) and Giron et al. (2023), participants push buttons on a two-dimensional grid to reveal continuous-valued rewards that are spatially correlated. Participants are unaware that there is a maximum reward available and therefore children may continue to explore to reduce uncertainty if they have difficulty evaluating whether they have reached a maxima. In our task by contrast, participants are given binary reward and told that there is a region in which reaches will always be rewarded. Motor noise is an additional factor which plays a key role in our reaching task but minimal if any role in the discretized grid task. As we show in simulations of our task, as motor noise goes down (as it is known to do through development) the optimal amount of exploration goes up (see Figure 7—figure Supplement 2 and Appendix 1). Therefore, the behavior of our participants is rational in terms of R230 increasing exploration as motor noise decreases.

      A key result in our study is that exploration in our task reflects sensitivity to failure. Older children make larger adjustments after failure compared to younger children to find the highly rewarded zone more quickly. Dhawale et al. (2017) discuss the different contexts in which a participant may explore versus exploit (i.e., stick at the same position). Exploration is beneficial when reward is low as this indicates that the current solution is no longer ideal, and the participant should search for a better solution. Konrad et al. (2025) have recently shown this behavior in a real-world throwing task where 6 to 12 year old children increased throwing variability after missed trials and minimized variability after successful trials. This has also been shown in a postural motor control task where participants were more variable after non-rewarded trials compared to rewarded trials (Van Mastrigt et al., 2020). In general, these studies suggest that the optimal amount of exploration is dependent on the specifics of the task."

      (3) Modeling.

      First, I may have missed something, but it is unclear to me if the model is actually accounting for the gradient of rewards (e.g., if I get a probabilistic reward moving at 45°, but then don't get one at 40°, I should be more likely to try 50° next then 35°). I couldn't tell from the current equations if this was the case, or if exploration was essentially "unsigned," nor if the multiple-trials-back regression analysis would truly capture signed behavior. If the model is sensitive to the gradient, it would be nice if this was more clear in the Methods. If not, it would be interesting to have a model that does "function approximation" of the task space, and see if that improves the fit or explains developmental changes.

      The model we use (similar to Roth et al. (2023) and Therrien et al. (2016, 2018)) does not model the gradient. Exploration is always zero-mean Gaussian. As suggested by the reviewer, we now also fit a value-based model (described starting at line 810) which we adapted from the model presented in Giron et al. (2023). We show that the exploration and noise-based model is preferred over the value-based model.

      The multiple-trials-back regression was unsigned as the intent was to look at the magnitude and not the direction of the change in movement. We have decided to remove this analysis from the manuscript as it was a source of confusion and secondary analysis that did not add substantially to the findings of these studies.

      Second, I am curious if the current modeling approach could incorporate a kind of "action hysteresis" (aka perseveration), such that regardless of previous outcomes, the same action is biased to be repeated (or, based on parameter settings, avoided).

      In some sense, the learning rate in the model in the original submission is highly related to perseveration. For example if the learning rate is 0, then there is complete perseveration as you simply repeat the same desired movement. If the rate is 1, there is no perseveration and values in between reflect different amounts of perseveration. Therefore, it is not easy to separate learning rate from perseveration. Adding perseveration as another parameter would likely make it and the learning unidentifiable. However, we now compare 31 models and those that have a non-unity learning rate are not preferred suggesting there is little perseveration.

      (4) Psychological mechanisms. There is a line of work that shows that when children and adults perform RL tasks they use a combination of working memory and trial-by-trial incremental learning processes (e.g., Master et al., 2020; Collins and Frank 2012). Thus, the observed increase in the learning rate over development could in theory reflect improvements in instrumental learning, working memory, or both. Could it be that older participants are better at remembering their recent movements in short-term memory (Hadjiosif et al., 2023; Hillman et al., 2024)?

      We agree that cognitive processes, such as working memory or visuospatial processing, play a role in our task and describe cognitive elements of our task in the introduction (new paragraph at line 65). However, the sensorimotor model we fit to the data does a good job of explaining the variation across age, which suggests that that age-dependent cognitive processes probably play a smaller role.

      Reviewer #3 (Public review):

      Summary:

      The study investigates reinforcement learning across the lifespan with a large sample of participants recruited for an online game. It finds that children gradually develop their abilities to learn reward probability, possibly hindered by their immature spatial processing and probabilistic reasoning abilities. Motor noise, reinforcement learning rate, and exploration after a failure all contribute to children's subpar performance.

      Strengths:

      (1) The paradigm is novel because it requires continuous movement to indicate people's choices, as opposed to discrete actions in previous studies.

      (2) A large sample of participants were recruited.

      (3) The model-based analysis provides further insights into the development of reinforcement learning ability.

      Thank you.

      Weaknesses:

      (1 ) The adequacy of model-based analysis is questionable, given the current presentation and some inconsistency in the results.

      Thank you for raising this concern. We have substantially revised the model from our first submission. We now compare 31 noise-based models and 1 value-based model and fit all of the tasks with the preferred model. We perform model selection using the two tasks with the largest datasets to identify the preferred model. From the preferred model, we found the parameter fits for each individual dataset and simulated the trial by trial behavior allowing comparison between all four tasks. We now show examples of individual fits as well as provide a measure of goodness of fit. The expansion of our modeling approach has resolved inconsistencies and sharpened the conclusions drawn from our model.

      (2) The task should not be labeled as reinforcement motor learning, as it is not about learning a motor skill or adapting to sensorimotor perturbations. It is a classical reinforcement learning paradigm.

      We now make it clear that our reinforcement learning task has both motor and cognitive demands, but does not fall entirely within one of these domains. We use the term motor learning because it captures the fact that participants maximize reward by making different movements, corrupted by motor noise, to unmarked locations on a continuous target zone. When we look at previous ublications, it is clear that our task is similar to those that also refer to this as reinforcement motor learning Cashaback et al. (2019) (reaching task using a robotic arm in adults), Van Mastrigt et al. (2020) (weight shifting task in adults), and Konrad et al. (2025) (real-world throwing task in children). All of these tasks involve trial-by-trial learning through reinforcement to make the movement that is most effective for a given situation. We feel it is important to link our work to these previous studies and prefer to preserve the terminology of reinforcement motor learning.

      Recommendations for the authors:

      Reviewing Editor Comments:

      Thank you for this summary. Rather than repeat the extended text from the responses to the reviewers here, we point the Editor to the appropriate reviewer responses for each issue raised.

      The reviewers and editors have rated the significance of the findings in your manuscript as "Valuable" and the strength of evidence as "Solid" (see eLife evalutation). A consultancy discussion session to integrate the public reviews and recommendations per reviewer (listed below), has resulted in key recommendations for increasing the significance and strength of evidence:

      To increase the Significance of the findings, please consider the following:

      (1) Address and reframe the paper around whether the task is truly getting at a motor learning process or more generic cognitive decision-making capacities such as spatial memory, reward processing, and hypothesis testing.

      We have revised the paper to address the comments on the framing of our work. Please see responses to the public review comments of Reviewers #2 and #3.

      (2) It would be beneficial to specify the differences between traditional reinforcement algorithms (i.e., using softmax functions to explore, and build representations of state-action-reward) and the reinforcement learning models used here (i.e., explore with movement variability, update reach aim towards the last successful action), and compare present findings to previous cognitive reinforcement learning studies in children.

      Please see response to the public review comments of Reviewer #1 in which we explain the expansion of our modeling approach to fit a value-based model as well as 31 other noise-based models. In our response to the public review comments of Reviewer #2, we comment on our expanded discussion of how our findings compare with previous cognitive reinforcement learning studies.

      To move the "Strength of Evidence" to "Convincing", please consider doing the following:

      (1 ) Address some apparently inconsistent and unrealistic values of motor noise, exploration noise, and learning rate shown for individual participants (e.g., Figure 5b; see comments reviewers 1 and take the following additional steps: plotting r squares for individual participants, discussing whether individual values of the fitted parameters are plausible and whether model parameters in each age group can extrapolate to the two clamp conditions and baselines.

      We have substantially updated our modeling approach. Now that we compare 31 noise-based models, the preferred model does not show any inconsistent or unrealistic values (see response to Reviewer #3). Additionally, we now show example individual fits and provide both relative and absolute goodness of fit (see response to Reviewer #3).

      (2) Relatedly, to further justify if model assumptions are met, it would be valuable to show that the current learning model fits the data better than alternative models presented in the literature by the authors themselves and by others (reviewer 1). This could include alternative development models that formalise the proposed explanations for age-related change: poor spatial memory, reward/outcome processing, and exploration strategies (reviewer 2).

      Please see response to public review comments of Reviewer #1 in which we explain that we have now fit a value-based model as well as 31 other noise-based models providing a comparison of previous models as well as novel models. This led to a slightly different model being preferred over the model in the original submission (updated model has a learning rate of unity). These models span many of the processes previously proposed for such tasks. We feel that 32 models span a reasonable amount of space and do not believe we have the power to include memory issues or heuristic exploration strategies in the model.

      (3) Perform the mediation analysis with all the possible variables (i.e., not informed by multiple regression) to see if the results are more consistent across studies and with the current approach (see comments reviewer 1).

      Please see response to public review comments of Reviewer #1. We chose to focus only on the model based analysis because it allowed us to distinguish between exploration variability and motor noise.

      Please see below for further specific recommendations from each reviewer.

      Reviewer #1 (Recommendations for the author):

      (1) In general, there should be more discussion and contextualization of other binary reinforcement tasks used in the motor literature. For example, work from Jeroen Smeets, Katinka van der Kooij, and Joseph Galea.

      Thank you for this comment. We have edited the Introduction to better contextualize our work within the reinforcement motor learning literature (see line 67 and line 83).

      (2) Line 32. Very minor. This sentence is fine, but perhaps could be slightly improved. “select a location along a continuous and infinite set of possible options (anywhere along the span of the bridge)"

      Thank you for this comment. We have edited the sentence to reflect this suggestion.

      (3) Line 57. To avoid some confusion in successive sentences: Perhaps, "Both children over 12 and adolescents...".

      Thank you for this comment. We have edited the sentence to reflect this suggestion.

      (4) Line 80. This is arguably not a mechanistic model, since it is likely not capturing the reward/reinforcement machinery used by the nervous system, such as updating the expected value using reward predic tion errors/dopamine. That said, this phenomenological model, and other similar models in the field, do very well to capture behaviour with a very simple set of explore and update rules.

      We use mechanistic in the standard use in modeling, as in Levenstein et al. (2023), for example. The contrast is not with neural modeling, but with normative modeling, in which one develops a model to optimize a function (or descriptive models as to what a system is trying to achieve). In mechanistic modeling one proposes a mechanism and this can be at a state-space level (as in our case) or a neural level (as suggested my the reviewer) but both are considered mechanistic, just at different levels. Quoting Levenstein "... mechanistic models, in which complex processes are summarized in schematic or conceptual structures that represent general properties of components and their interactions, are also commonly used." We now reference the Levenstein paper to clarify what we mean by mechanistic.

      (5) Figure 1. It would be useful to state that the x-axis in Figure 1 is in normalized units, depending on the device.

      Thank you for this comment. We have added a description of the x-axis units to the Fig. 1 caption.

      (6) Were there differences in behaviour for these different devices? e.g., how different was motor noise for the mouse, trackpad, and touchscreen?

      Thank you for this question. We did not find a significant effect of device on learning or precision in the baseline block. We have added these one way ANOVA results for each task in Supplementary Table 1.

      (7) Line 98. Please state that participants received reinforcement feedback during baseline.

      Thank you for this comment. We have updated the text to specify that participants receive reward feedback during the baseline block.

      (8) Line 99. Did the distance from the last baseline trial influence whether the participant learned or did not learn? For example, would it place them too far from the peak success location such that it impacted learning?

      Thank you for this question. We looked at whether the position of movement on the last baseline block trial was correlated with the first movement position in the learning block. We did not find any correlations between these positions for any of the tasks. Interestingly, we found that the majority of participants move to the center of the workspace on the first trial of the learning block for all tasks (either in the presence of the novel continuous target scene or the presentation of 7 targets all at once). We do not think that the last movement in the baseline block "primed" the participant for the location of the success zone in the learning block. We have added the following sentence to the Results section:

      "Note that the reach location for the first learning trial was not affected by (correlated with) the target position on the last baseline trial (p > 0.3 for both children and adults, separately)."

      (9) The term learning distance could be improved. Perhaps use distance from target.

      Thank you for this comment. We appreciate that learning distance defined with 0 as the best value is counter intuitive. We have changed the language to be "distance from target" as the learning metric.

      (10) Line 188. This equation is correct, but to estimate what the standard deviation by the distribution of changes in reach position is more involved. Not sure if the authors carried out this full procedure, which is described in Cashaback et al., 2019; Supplemental 2.

      There appear to be no Supplemental 2 in the referenced paper so we assume the reviewer is referring to Supplemental B which deals with a shuffling procedure to examine lag-1 correlations.

      In our tasks, we are limited to only 9 trials to analyze in each clamp phase so do not feel a shuffling analysis is warranted. In these blocks, we are not trying to 'estimate what the standard deviation by the distribution of changes in reach position' but instead are calculating the standard deviation of the reach locations and comparing the model fit (for which the reviewer says the formula is correct) with the data. We are unclear what additional steps the reviewer is suggesting. In our updated model analysis, we fit the data including the clamp phases for better parameter estimation. We use simulations to estimate s.d. in the clamp phase (as we ensure in simulations the data does not fall outside the workspace) making the previous analytic formulas an approximation that are no longer used.

      (11) Line 197-199. Having done the demo task, it is somewhat surprising that a 3-year-old could understand these instructions (whose comprehension can be very different from even a 5-year old).

      Thank you for raising this concern. We recognize that the younger participants likely have different comprehension levels compared to older participants. However, we believe that the majority of even the youngest participants were able to sufficiently understand the goal of the task to move in a way to get the video clip to play. We intentionally designed the tasks to be simple such that the only instructions the child needed to understand were that the goal was to get the video clip to play as much as possible and the video clip played based on their movement. Though the majority of younger children struggled to learn well on the probabilistic tasks, they were able to learn well on the deterministic tasks where the task instructions were virtually identical with the exception of how many places in the workspace could gain reward. On the continuous probabilistic task, we did have a small number (n = 3) of 3 to 5 year olds who exhibited more mature learning ability which gives us confidence that the younger children were able to understand the task goal.

      (12) Line 497: Can the authors please report the F-score and p-value separately for each of these one-way ANOVA (the device is of particular interest here).

      Thank you for this request. We have added ina upplementarytable (Supplementary Table 1) with the results of these ANOVAs.

      (13) Past work has discussed how motivation influences learning, which is a function of success rate (van der Kooij, K., in 't Veld, L., & Hennink, T. (2021). Motivation as a function of success frequency. Motivation and Emotion, 45, 759-768.). Can the authors please discuss how that may change throughout development?

      Thank you for this comment. While motivation most probably plays a role in learning, in particular in a game environment, this was out of the scope of the direct focus of this work and not something that our studies were designed to test. We have added the following sentence to the discussion section to address this comment:

      "We also recognize that other processes, such as memory and motivation, could affect performance on these tasks however our study was not designed to test these processes directly and future work would benefit from exploring these other components more explicitly."

      (14) Supplement 6. This analysis is somewhat incomplete because it does not consider success.

      Pekny and collegues (2015) looked at 3 trials back but considered both success and reward. However, their analysis has issues since successive time points are not i.i.d., and spurious relationships can arise. This issue is brought up by Dwahale (Dhawale, A. K., Miyamoto, Y. R., Smith, M. A., & R475 Ölveczky, B. P. (2019). Adaptive regulation of motor variability. Current Biology, 29(21), 3551-3562.). Perhaps it is best to remove this analysis from the paper.

      Thank you for this comment. We have decided to remove this secondary analysis from the paper as it was a source of confusion and did not add to the understanding and interpretation of our behavioral results.

      Reviewer #2 (Recommendations for the author):

      (1 ) the path length ratio analyses in the supplemental are interesting but are not mentioned in the main paper. I think it would be helpful to mention these as they are somewhat dramatic effects

      Thank you for this comment. Path length ratios are defined in the Methods and results are briefly summarized in the Results section with a point to the supplementary figures. We have updated the text to more explicitly report the age related differences in path length ratios.

      (2) The second to last paragraph of the intro could use a sentence motivating the use ofthe different task features (deterministic/probabilistic and discrete/continuous).

      Thank you for this comment. We have added an additional motivating sentence to the introduction.

      Reviewer #3 (Recommendations for the author):

      The paper labeled the task as one for reinforcement motor learning, which is not quite appropriate in my opinion. Motor learning typically refers to either skill learning or motor adaptation, the former for improving speed-accuracy tradeoffs in a certain (often new) motor skill task and the latter for accommodating some sensorimotor perturbations for an existing motor skill task. The gaming task here is for neither. It is more like a

      decision-making task with a slight contribution to motor execution, i.e., motor noise. I would recommend the authors label the learning as reinforcement learning instead of reinforcement motor learning.

      Thank you for this comment. As noted in the response to the public review comments, we agree that this task has components of classical reinforcement learning (i.e. responding to a binary reward) but we specifically designed it to require the learning of a movement within a novel game environment. We have added a new paragraph to the introduction where we acknowledge the interplay between cognitive and motor mechanisms while also underscoring the features in our task that we think are not present in typical cognitive tasks.

      My major concern is whether the model adequately captures subjects' behavior and whether we can conclude with confidence from model fitting. Motor noise, exploration noise, and learning rate, which fit individual learning patterns (Figure 5b), show some quite unrealistic values. For example, some subjects have nearly zero motor noise and a 100% learning rate.

      We have now compared 31 models and the preferred model is different from the one in the first submission. The parameter fits of the new model do not saturate in any way and appear reasonable to us. The updates to the model analysis have addressed the concern of previously seen unrealistic values in the prior draft.

      Currently, the paper does not report the fitting quality for individual subjects. It is good to have an exemplary subject's fit shown, too. My guess is that the r-squared would be quite low for this type of data. Still, given that the children's data is noisier, it might be good to use the adult data to show how good the fitting can be (individual fits, r squares, whether the fitted parameters make sense, whether it can extrapolate to the two clamp phases). Indeed, the reliability of model fitting affects how we should view the age effect of these model parameters.

      We now show fits to individual subjects. But since this is a Kalman smoother it fits the data perfectly by generating its best estimate of motor noise and exploration variability on each trial to fully account for the data — so in that sense R<sup>2</sup> is always 1 so that is not helpful.

      While the BIC analysis with the other model variants provides a relative goodness of fit, it is not straightforward to provide an absolute goodness of fit such as standard R<sup>2</sup> for a feedforward simulation of the model given the parameters (rather than the output of the Kalman smoother). There are two problems. First, there is no single model output. Each time the model is simulated with the fit parameters it produces a different output (due to motor noise, exploration variability and reward stochasticity). Second, the model is not meant to reproduce the actual motor noise, exploration variability and reward stochasticity of a trial. For example, the model could fit pure Gaussian motor noise across trials (for a poor learner) by accurately fitting the standard deviation of motor noise but would not be expected to actually match each data point so would have a traditional R<sup>2</sup> of O.

      To provide an overall goodness of fit we have to reduce the noise component and to do so we exam ined the traditional R<sup>2</sup> between the average of all the children's data and the average simulation of the model (from the median of 1000 simulations per participant) so as to reduce the stochastic variation. The results for the continuous probabilistic and discrete probabilistic task are R<sup>2</sup> of 0.41 and 0.72, respectively.

      Not that variability in the "success clamp" doe not change across ages (Figure 4C) and does not contribute to the learning effect (Figure 4F). However, it is regarded as reflecting motor noise (Figure SC), which then decreases over age from the model fitting (Figure 5B). How do we reconcile these contradictions? Again, this calls the model fitting into question.

      For the success clamp, we only have 9 trials to calculate variability which limits our power to detect significance with age. In contrast, the model uses all 120 trials to estimate motor noise. There is a downward trend with age in the behavioral data which we now show overlaid on the fits of the model for both probabilistic conditions (Figure 5—figure Supplement 4) and Figure 6—figure Supplement 4). These show a reasonable match and although the variance explained is 1 6 and 56% (we limit to 9 trials so as to match the fail clamp), the correlations are 0.52 and 0.78 suggesting we have reasonable relation although there may be other small sources of variability not captured in the model.

      Figure 5C: it appears one bivariate outlier contributes a lot to the overall significant correlation here for the "success clamp".

      Recalculating after removing that point in original Fig 5C was still significant and we feel the plots mentioned in the previous point add useful information to this issue. With the new model this figure has changed.

      It is still a concern that the young children did not understand the instructions. Nine 3-to-8 children (out of 48) were better explained by the noisy only model than the full model. In contrast, ten of the rest of the participants (out of 98) were better explained by the noisy-only model. It appears that there is a higher percentage of the "young" children who didn't get the instruction than the older ones.

      Thank you for this comment. We did take participant comprehension of the task into consideration during the task design. We specifically designed it so that the instructions were simple and straight forward. The child simply needs to understand the underlying goal to make the video clip play as often as possible and that they must move the penguin to certain positions to get it to play. By having a very simple task goal, we are able to test a naturalistic response to reinforcement in the absence of an explicit strategy in a task suited even for young children.

      We used the updated reinforcement learning model to assess whether an individual's performance is consistent with understanding the task. In the case of a child who does not understand the task, we expect that they simply have motor noise on their reach, and crucially, that they would not explore more after failure, nor update their reach after success. Therefore, we used a likelihood ratio test to examine whether the preferred model was significantly better at explaining each participant's data compared to the model variant which had only motor noise (Model 1). Focusing on only the youngest children (age 3-5), this analysis showed that that 43, 59, 65 and 86% of children (out of N = 21, 22, 20 and 21 ) for the continuous probabilistic, discrete probabilistic, continuous deterministic, and discrete deterministic conditions, respectively, were better fit with the preferred model, indicating non-zero exploration after failure. In the 3-5 year old group for the discrete deterministic condition, 18 out of 21 had performance better fit by the preferred model, suggesting this age group understands the basic task of moving in different directions to find a rewarding location.

      The reduced numbers fit by the preferred model for the other conditions likely reflects differences in the task conditions (continuous and/or probabilistic) rather than a lack of understanding of the goal of the task. We include this analysis as a new subsection at the end of the Results.

      Supplementary Figure 2: the first panel should belong to a 3-year-old not a 5-year-old? How are these panels organized? This is kind of confusing.

      Thank you for this comment. Figure 2—figure Supplement 1 and Figure 2—figure Supplement 2 are arranged with devices in the columns and a sample from each age bin in the rows. For example in Figure 2—figure Supplement 1, column 1, row 1 is a mouse using participant age 3 to 5 years old while column 3, row 2 is a touch screen using participant age 6 to 8 years old. We have edited the labeling on both figures to make the arrangement of the data more clear.

      Line 222: make this a complete sentence.

      This sentence has been edited to a complete sentence.

      Line 331: grammar.

      This sentence has been edited for grammar.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews: 

      Reviewer #1 (Public review): 

      Summary: 

      This article investigates the phenotype of macrophages with a pathogenic role in arthritis, particularly focusing on arthritis induced by immune checkpoint inhibitor (ICI) therapy. 

      Building on prior data from monocyte-macrophage coculture with fibroblasts, the authors hypothesized a unique role for the combined actions of prostaglandin PGE2 and TNF. The authors studied this combined state using an in vitro model with macrophages derived from monocytes of healthy donors. They complemented this with single-cell transcriptomic and epigenetic data from patients with ICI-RA, specifically, macrophages sorted out of synovial fluid and tissue samples. The study addressed critical questions regarding the regulation of PGE2 and TNF: Are their actions co-regulated or antagonistic? How do they interact with IFN-γ in shaping macrophage responses? 

      This study is the first to specifically investigate a macrophage subset responsive to the PGE2 and TNF combination in the context of ICI-RA, describes a new and easily reproducible in vitro model, and studies the role of IFNgamma regulation of this particular Mф subset. 

      Strengths: 

      Methodological quality: The authors employed a robust combination of approaches, including validation of bulk RNA-seq findings through complementary methods. The methods description is excellent and allows for reproducible research. Importantly, the authors compared their in vitro model with ex vivo single-cell data, demonstrating that their model accurately reflects the molecular mechanisms driving the pathogenicity of this macrophage subset. 

      Weaknesses: 

      Introduction: The introduction lacks a paragraph providing an overview of ICI-induced arthritis pathogenesis and a comparison with other types of arthritis. Including this would help contextualize the study for a broader audience.

      Thank you for this suggestion, we have added a paragraph on ICI-arthritis to intro (pg. 4, middle paragraph).  

      Results Section: At the beginning of the results section, the experimental setup should be described in greater detail to make an easier transition into the results for the reader, rather than relying just on references to Figure 1 captions.

      We have clarified the experimental setup (pg. 5).  

      There is insufficient comparison between single-cell RNA-seq data from ICI-induced arthritis and previously published single-cell RA datasets. Such a comparison may include DEGs and GSEA, pathway analysis comparison for similar subsets of cells. Ideally, an integration with previous datasets with RA-tissue-derived primary monocytes would allow for a direct comparison of subsets and their transcriptomic features.

      We thank the Reviewer for this suggestion, which has increased the impact of our data and analysis. A computationally rigorous representation mapping approach showed that ICI-arthritis myeloid subsets predominantly mapped onto 4 previously defined RA subsets including IL-1β+ cells. This result was corroborated using a complementary data integration approach. Analysis of (TNF + PGE)-induced gene sets (TP signatures) in ICI-arthritis myeloid cells projected onto the RA subsets using the AUCell package showed elevated TP gene expression in similar ICI-arthritis and RA monocytic cell subsets. We also found mutually exclusive expression of TP and IFN signatures in distinct RA and ICI-arthritis myeloid cell subsets, which supports that the opposing cross-regulation between IFN-γ and PGE2 pathways that we identified in vitro also functions similarly in vivo. This analysis is shown in the new Fig. 3, described on pg. 7, and discussed on pp. 13-14.

      While it's understandable that arthritis samples are limited in numbers and myeloid cell numbers, it would still be interesting to see the results of PGE2+TNF in vitro stimulation on the primary RA or ICI-RA macrophages. It would be valuable to see RNA-Seq signatures of patient cell reactivation in comparison to primary stimulation of healthy donor-derived monocytes.

      We agree that this would be interesting but given limited samples and distribution of samples amongst many studies and investigators this is beyond the scope of the current study.  

      Discussion: Prior single-cell studies of RA and RA macrophage subpopulations from 2019, 2020, 2023 publications deserve more discussion. A thorough comparison with these datasets would place the study in a broader scientific context. 

      Creating an integrated RA myeloid cell atlas that combines ICI-RA data into the RA landscape would be ideal to add value to the field. 

      As one of the next research goals, TNF blockade data in RA and ICI-RA patients would be interesting to add to such an integrated atlas. Combining responders and non-responders to TNF blockade would help to understand patient stratification with the myeloid pathogenic phenotypes. It would be great to read the authors' opinion on this in the Discussion section. 

      Please see our response to point 3 above. This point is addressed in Fig. 3, pg. 7, and pp. 13-14, which includes a discussion of responders and nonresponders and patient stratification.  

      Conclusion: The authors demonstrated that while PGE2 maintains the inflammatory profile of macrophages, it also induces a distinct phenotype in simultaneous PGE2 and TNF treatment. The study of this specific subset in single-cell data from ICI-RA patients sheds light on the pathogenic mechanisms underlying this condition, however, how it compares with conventional RA is not clear from the manuscript. 

      Given the substantial incidence of ICI-induced autoimmune arthritis, understanding the unique macrophage subsets involved for future targeting them therapeutically is an important challenge. The findings are significant for immunologists, cancer researchers, and specialists in autoimmune diseases, making the study relevant to a broad scientific audience. 

      Reviewer #2 (Public review): 

      Summary/Significance of the findings: 

      The authors have done a great job by extensively carrying out transcriptomic and epigenomic analyses in the primary human/mouse monocytes/macrophages to investigate TNF-PGE2 (TP) crosstalk and their regulation by IFN-γ in the Rheumatoid arthritis (RA) synovial macrophages. They proposed that TP induces inflammatory genes via a novel regulatory axis whereby IFN-γ and PGE2 oppose each other to determine the balance between two distinct TNF-induced inflammatory gene expression programs relevant to RA and ICI-arthritis. 

      Strengths: 

      The authors have done a great job on RT-qPCR analysis of gene expression in primary human monocytes stimulated with TNF and showing the selective agonists of PGE2 receptors EP2 and EP4 22 that signal predominantly via cAMP. They have beautifully shown IFN-γ opposes the effects of PGE2 on TNF-induced gene expression. They found that TP signature genes are activated by cooperation of PGE2-induced AP-1, CEBP, and NR4A with TNF-induced NF-κB activity. On the other hand, they found that IFN-γ suppressed induction of AP-1, CEBP, and NR4A activity to ablate induction of IL-1, Notch, and neutrophil chemokine genes but promoted expression of distinct inflammatory genes such as TNF and T cell chemokines like CXCL10 indicating that TP induces inflammatory genes via IFN-γ in the RA and ICI-arthritis. 

      Weaknesses: 

      (1) The authors carried out most of the assays in the monocytes/macrophages. How do APCcells like Dendritic cells behave with respect to this TP treatment similar dosing? 

      We agree that this is an interesting topic especially as TNF + PGE2 is one of the standard methods of maturing in vitro generated human DCs and promoting antigen-presenting function. As DC maturation is quite different from monocyte activation this would represent a new study and is beyond the scope of the current manuscript. We have instead added a paragraph to the discussion (pg. 12) and cited the literature on DC maturation by TNF + PGE2 including one of our older papers (PMID: 18678606; 2008)  

      (2) The authors studied 3h and 24h post-treatment transcriptomic and epigenomic. What happens to TP induce inflammatory genes post-treatment 12h, 36h, 48h, 72h. It is critical to see the upregulated/downregulated genes get normalised or stay the same throughout the innate immune response.

      We now clarify that subsets of inducible genes showed distinct kinetics of induction with transient expression at 3 hr versus sustained expression over the 24 hr stimulation period as shown in Supplementary Fig. 1 (pg. 5).

      (3) The authors showed IL1-axis in response to the TP-treatment. Do other cytokine axes get modulated? If yes, then how do they cooperate to reduce/induce inflammatory responses along this proposed axis?

      This is an interesting question, which we approached using a combination of pathway analysis and targeted inspection of pathways important pathogenesis of RA, which is the inflammatory condition most relevant for this study. In addition to genes in the IL-1-NF-κB core inflammatory pathway, pathway analysis of genes induced by TP co-stimulation showed enrichment of genes related to leukocyte chemotaxis, in particular neutrophil migration. Accordingly, TP costimulation increased expression of CSF3, which plays a key role in mobilizing neutrophils from the bone marrow, and major neutrophil chemokines CXCL1, CXCL2, CXCL3 and CXCL5 that recruit neutrophils to sites of inflammation including in inflammatory arthritis. Analysis of the late response to TNF similarly showed enrichment of genes important in chemotaxis, and suppression of genes in the cholesterol biosynthetic pathway, which we and others have previously linked to IFN responses. Targeted inspection of genes in additional pathways implicated in RA pathogenesis showed increased expression of genes in the Notch pathway. We believe that these pathways work together with the IL-1 pathway to increase immune cell recruitment and activation in inflammatory responses; these results are described on pp. 5-6 and are incorporated into Figures 1, 2 and Supplementary Fig. 2. 

      Overall, the data looks good and acceptable but I need to confirm the above-mentioned criticisms. 

      Recommendations for the authors: 

      Reviewer #1 (Recommendations for the authors):   

      The discussion section of the manuscript claims: "In this study, we utilized transcriptomics to demonstrate a 'TNF + PGE2' (TP) signature in RA and ICI-arthritis IL-1β+ synovial macrophages." This statement is misleading, as no new transcriptomic data from RA synovial samples were generated in this study. To support such a claim, the authors would need to compare primary monocytes or macrophages from RA patients using bulk RNA-seq or singlecell RNA-seq. Based on the current data, the comparison is limited to bulk RNA-seq findings from the authors' in vitro model and prior monocyte-fibroblast coculture studies. 

      We have modified the abstract and discussion (pg. 10) to reflect that we have compared an in vitro generated TP signature with gene expression in previously identified RA macrophage subsets.

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      Added to misc sheet - Marc

    1. Reviewer #2 (Public review):

      Before providing my review of the revised version of this study by Berger et al., which explores potential deliberate burials of Homo naledi within the Rising Star Cave System, I would like to briefly summarize the key points from my previous review of the earlier version (in 2023). Summarizing my previous review will provide context for assessing how effectively the revised study addresses the concerns I raised previously (in 2023).

      In my earlier comments, I highlighted significant methodological and analytical shortcomings that, in my view, undermined the authors' claim of intentional burials by Homo naledi. While the study presented detailed geological and fossil data, I found the evidence for intentional burials unconvincing due to insufficient application of archaeothanatological principles and other methodological gaps.

      My key concerns included:

      (1) The absence of a comprehensive archaeothanatological analysis, particularly with respect to taphonomic changes, bone articulations, and displacement patterns such as the collapse of sediments and bone remains into voids created by decomposition.

      (2) Missing or unclear illustrations of bone arrangements, which are critical for interpreting burial positions and processes.

      (3) A lack of detailed discussion on the sequence of decomposition, joint disarticulation, sediment infill, and secondary bone displacement.

      To convincingly support claims of deliberate burial, I argued that the study must reconstruct the timeline and processes surrounding death and deposition while clearly distinguishing natural taphonomic changes from intentional human actions. I emphasized the importance of integrating established archaeothanatological frameworks, such as those outlined by Duday et al. or Boulestin et al., to provide the necessary analytical rigor.

      I will now explain how the revised version of this study has successfully addressed all the concerns raised in my previous review and why I now think that the authors provide sufficient evidence for the presence of "repeated and patterned" deliberate burials (referred to as "cultural burials" by the authors) by Homo naledi within the Rising Star Cave System.

      In their revised manuscript, the authors have implemented substantial improvements in methodology, analytical depth, and overall presentation, which have effectively resolved the critical issues I previously highlighted. These revisions greatly strengthen their argument for intentional funerary practices. Importantly, the authors remain cautious in their interpretation of the evidence, explicitly refraining from inferring "symbolic" behavior or complex cognitive motivations behind these burials. Instead, they focus on presenting clear evidence for deliberate, patterned practices while leaving the broader implications for Homo naledi's cultural and cognitive capacities open for further investigation. This cautious approach adds to the credibility of their conclusions and avoids overextending the interpretation of the data.

      The authors' enhanced application of archaeothanatological principles now offers a more comprehensive and convincing interpretation of the burial features. Key gaps in the earlier version, such as the absence of detailed reconstructions of taphonomic processes, bone articulations, and displacement patterns, have been addressed with thorough analyses and clearer illustrations. The study also now includes a well-structured timeline of events surrounding death and deposition, demonstrating an improved ability to differentiate between natural processes and deliberate human actions. These additions lend greater clarity and rigor to the evidence, making the argument for intentional burials both robust and persuasive.

      Furthermore, the revised study presents detailed data on skeletal arrangements, decomposition sequences, and spatial patterns. This information is now relatively well illustrated and contextualized, enabling readers to better understand the complex processes involved in these burial practices. Importantly, the authors provide a stronger theoretical framework, integrating established archaeothanatological methodologies and taphonomic studies that situate their findings within broader archaeological and anthropological discussions of funerary behavior.

      That being said, there remain relatively minor issues that could be refined further. Addressing these would help ensure the study is as clear and accessible as possible to the reader. Such adjustments would enhance the overall readability and reinforce the study's impact within the scientific community.

      A - Suggested changes:

      While the revised version of this study marks a significant improvement, successfully addresses my previous major concerns and provides a convincing argument for deliberate burials by Homo naledi, I believe that including both one summary table + one summary figure for each of the three main locations and the-Hill Antechamber, and Dinaledi Chamber (Feature 1 and Puzzle Box)-would further enhance the clarity and accessibility of the findings. Such tables and figures would serve as a valuable reference, allowing readers to more easily follow how the detailed patterns observed at each site fit the criteria for distinguishing intentional from natural processes.

      The summary tables should consolidate key information for each location, such as:

      (1) Bone articulations: A comprehensive list of articulated skeletal elements, categorized by their anatomical relationships (e.g., labile vs. stable articulations).

      (2) Displacement patterns: Documentation of any spatial shifts in bone positions, noting directions and extents of disarticulation.

      (3) Sequence of decomposition: Observations regarding the sequence of decomposition, joint disarticulation and associated changes in bone arrangements.

      (4) Sediment interaction: Notes on sediment infill and its timing relative to decomposition, including evidence of secondary voids or delayed sediment deposition.

      (5) Distinguishing criteria: Clear indications of how each observed pattern supports intentional burial (e.g., structured placement, lack of natural transport mechanisms) versus natural processes (e.g., random dispersal, sediment-driven bone displacement).<br /> Including such tables would not only summarize the complex taphonomic and archaeothanatological data but also allow readers to quickly assess how the evidence supports the authors' conclusions. This approach would bridge the gap between the detailed narrative descriptions and the criteria necessary to differentiate deliberate funerary practices from natural occurrences.

      To streamline the main text further, many of the detailed descriptions of individual bones, specific displacement measurements, and other intricate observations could be moved to the supplementary data. This reorganization would maintain the richness of the data for those who wish to explore it in depth, while the summary tables would present the key findings concisely in the main text. This balance between accessibility and detail would ensure that the study appeals to both specialists requiring comprehensive data and readers looking for an overarching understanding of the findings.

      In addition to these structural changes, it is crucial to ensure that evidence is consistently illustrated throughout the text.

      Importantly the skeletal part representation is provided for Dinaledi Feature 1 in Figure 14, but similar data is not presented for the other burial features, such as those in the Hill Antechamber or Puzzle Box. This inconsistency could make it more challenging for readers to compare the features and fully appreciate the patterns of burial behavior across the different locations. Ensuring that similar types of evidence and analyses are presented uniformly for all features would strengthen the study and make its conclusions more cohesive and compelling.

      Adding supplementary figures to represent the skeletal part distribution (as in Figure 14) within each excavated area (i.e., not only for Dinaledi Feature 1 but also for Hill Antechamber and Puzzle Box) would significantly enhance the study's clarity and accessibility. These figures could provide a visual summary of skeletal part representation, allowing readers to easily understand the nature of human remains within each burial context.

      Specifically, such figures could:

      (1) Illustrate Skeletal Part Representation: By visually mapping the presence and location of various skeletal elements, the figures would make it easier for readers to assess the completeness and arrangement of remains in each feature. This is particularly important for interpreting patterns of bone articulation and disarticulation.<br /> For example, it is quite challenging to determine the exact number and characteristics of the human skeletal remains identified within the Puzzle Box and those recovered through the "subsurface collection" in its surrounding area. The authors state that "at least six individuals" were identified in this area (during "subsurface collection") but provide no further clarification. They simply mention that "most elements" were described previously, without specifying which elements or where this prior description can be found.

      (2) Highlight Articulations and Displacements: Figures could indicate which bones are articulated and their relative positions, as well as the spatial distribution of disarticulated elements. This would provide a clear visual context to support interpretations of taphonomic processes.

      (3) Facilitate Comparisons Across Locations: By presenting skeletal part representation consistently for each location, the figures would enable readers to directly compare features, reinforcing the argument for "repeated and patterned" behavior.

      (4) Simplify Complex Data: Instead of relying solely on textual descriptions, the visual format would allow readers to quickly grasp the key findings, making the study more accessible to a broader audience

      By including such figures alongside the proposed summary tables in the main text, the study would achieve a balance between detailed narrative descriptions and concise, visual representation of the data. This approach would strengthen the overall presentation and support the authors' conclusions effectively.

      Again, by presenting the data in a structured and comparative format, the new tables + figures could also highlight the differences and similarities between the three locations. This would reinforce the argument for "repeated and patterned" behavior, as the tables would make it easier to observe consistent burial practices across different contexts within the Rising Star Cave System.

      Adding these summary tables + figures, ensuring consistent presentation of evidence, and reallocating detailed descriptions to supplementary materials would not require significant new analysis. However, these organizational adjustments would greatly enhance the study's clarity, readability, and overall impact.

      B - A few additional changes are needed:

      Figure 8: This figure is critical but lacks clarity. Specifically:

      Panels 8a-c suffer from low contrast, making details difficult to discern.<br /> Panel 8d (sediment profile) is too small and lacks annotations that would aid interpretation.<br /> Figure S7: While this figure has significantly better contrast than Figures 8a-c, I am unable to identify the "articulated foot ... at right of frame," as mentioned in the caption. Please clarify this by adding annotations directly to the figure.

      Page 4, 2nd paragraph: In the sentence "Researchers thus have diverse opinions about how to test whether ...," the word "opinions" should be replaced with a more precise term, such as "approaches."

      C - In conclusion, I am impressed by the significant effort and meticulous work that has gone into this revised version of the study. The quality of the new evidence presented is commendable, and the findings now convincingly demonstrate not only clear evidence of intentional burial practices by Homo naledi but also compelling indications of post-depositional reworking. These advancements reflect a major improvement in the study's analytical rigor and the robustness of its conclusions, making it a valuable contribution to the understanding of early hominin funerary behavior.

    2. Author response:

      [The following is the authors’ response to the original reviews.]

      We extend our sincere thanks to the editor, referees for eLife, and other commentators who have written evaluations of this manuscript, either in whole or in part. Sources of these comments were highly varied, including within the bioRxiv preprint server, social media (including many comments received on X/Twitter and some YouTube presentations and interviews), comments made by colleagues to journalists, and also some reviews of the work published in other academic journals. Some of these are formal and referenced with citations. Others were informal but nonetheless expressed perspectives that helped enable us to revise the manuscript with the inclusion of broader perspectives than the formal review process. It is beyond the scope of this summary to list every one of these, which have often been brought to the attention of different coauthors, but we begin by acknowledging the very wide array of peer and public commentary that have contributed to this work. The reaction speaks to a broad interest in open discussion and review of preprints. 

      As we compiled this summary of changes to the manuscript, we recognized that many colleagues made comments about the process of preprint dissemination and evaluation rather than the data or analyses in the manuscript. Addressing such comments is outside the scope of this revised manuscript, but we do feel that a broader discussion of these comments would be valuable in another venue. Many commentators have expressed confusion about the eLife system of evaluation of preprints, which differs from the editorial acceptance or rejection practiced in most academic journals. As authors in many different nations, in varied fields, and in varied career stages, we ourselves are still working to understand how the academic publication landscape is changing, and how best to prepare work for new models of evaluation and dissemination. 

      The manuscript and coauthor list reflect an interdisciplinary collaboration. Analyses presented in the manuscript come from a wide range of scientific disciplines. These range from skeletal inventory, morphology, and description, spatial taphonomy, analysis of bone fracture patterns and bone surface modifications, sedimentology, geochemistry, and traditional survey and mapping. The manuscript additionally draws upon a large number of previous studies of the Rising Star cave system and the Dinaledi Subsystem, which have shaped our current work. No analysis within any one area of research stands alone within this body of work: all are interpreted in conjunction with the outcomes of other analyses and data from other areas of research. Any single analysis in isolation might be consistent with many different hypotheses for the formation of sediments and disposition of the skeletal remains. But testing a hypothesis requires considering all data in combination and not leaving out data that do not fit the hypothesis. We highlight this general principle at the outset because a number of the comments from referees and outside specialists have presented alternative hypotheses that may arguably be consistent with one kind of analysis that we have presented, while seeming to overlook other analyses, data, or previous work that exclude these alternatives. In our revision, we have expanded all sections describing results to consider not only the results of each analysis, but how the combination of data from different kinds of analysis relate to hypotheses for the deposition and subsequent history of the Homo naledi remains. We address some specific examples and how we have responded to these in our summary of changes below. 

      General organization:

      The referee and editor comments are mostly general and not line-by-line questions, and we have compiled them and treated them as a group in this summary of changes, except where specifically noted. 

      The editorial comments on the previous version included the suggestion that the manuscript should be reorganized to test “natural” (i.e. noncultural) hypotheses for the situations that we examine. The editorial comment suggested this as a “null hypothesis” testing approach. Some outside comments also viewed noncultural deposition as a null hypothesis to be rejected. We do not concur that noncultural processes should be construed as a null hypothesis, as we discuss further below. However, because of the clear editorial opinion we elected to revise the manuscript to make more explicit how the data and analyses test noncultural depositional hypotheses first, followed by testing of cultural hypotheses. This reorganization means that the revised manuscript now examines each hypothesis separately in turn. 

      Taking this approach resulted in a substantial reorganization of the “Results” section of the manuscript. The “Results” section now begins with summaries of analyses and data conducted on material from each excavation area. After the presentation of data and analyses from each area, we then present a separate section for each of several hypotheses for the disposition and sedimentary context of the remains. These hypotheses include deposition of bodies upon a talus (as hypothesized in some previous work), slow sedimentary burial on a cave floor or within a natural depression, rapid burial by gravity-driven slumping, and burial of naturally mummified remains. We then include sections to test the hypothesis of primary cultural burial and secondary cultural burial. This approach adds substantial length to the Results. While some elements may be repeated across sections, we do consider the new version to be easier to take piece by piece for a reader trying to understand how each hypothesis relates to the evidence. 

      The Results section includes analyses on several different excavation areas within the Dinaledi Subsystem. Each of these presents somewhat different patterns of data. We conceived of this manuscript combining these distinct areas because each of them provides information about the formation history of the Homo naledi-associated sediments and the deposition of the Homo naledi remains. Together they speak more strongly than separately. In the previous version of the manuscript, two areas of excavation were considered in detail (Dinaledi Feature 1 and the Hill Antechamber Feature), with a third area (the Puzzle Box area) included only in the Discussion and with reference to prior work. We now describe the new work undertaken after the 2013-2014 excavations in more detail. This includes an overview of areas in the Hill Antechamber and Dinaledi Chamber that have not yielded substantial H. naledi remains and that thereby help contextualize the spatial concentration of H. naledi skeletal material. The most substantial change in the data presented is a much expanded reanalysis of the Puzzle Box area. This reanalysis provides greater clarity on how previously published descriptions relate to the new evidence. The reanalysis also provides the data to integrate the detailed information on bone identification fragmentation, and spatial taphonomy from this area with the new excavation results from the other areas. 

      In addition to Results, the reorganization also affected the manuscript’s Introduction section. Where the previous version led directly from a brief review of Pleistocene burial into the description of the results, this revised manuscript now includes a review of previous studies of the Rising Star cave system. This review directly addresses referee comments that express some hesitation to accept previous results concerning the structure and formation of sediments, the accessibility of the Dinaledi Subsystem, the geochronological setting of the H. naledi remains, and the relation of the Dinaledi Subsystem to nearby cave areas. Some parts of this overview are further expanded in the Supplementary Information to enable readers to dive more deeply into the previous literature on the site formation and geological configuration of the Rising Star cave system without needing to digest the entirety of the cited sources. 

      The Discussion section of the revised manuscript is differentiated from Results and focuses on several areas where the evidence presented in this study may benefit from greater context. One new section addresses hypothesis testing and parsimony for Pleistocene burial evidence, which we address at greater length in this summary below. The majority of the Discussion concerns the criteria for recognizing evidence for burial as applied in other studies. In this research we employ a minimal definition but other researchers have applied varied criteria. We consider whether these other criteria have relevance in light of our observations and whether they are essential to the recognition of burial evidence more broadly. 

      Vocabulary:

      We introduce the term “cultural burial” in this revised manuscript to refer to the burial of dead bodies as a mortuary practice. “Burial” as an unmodified term may refer to the passive covering of remains by sedimentary processes. Use of the term “intentional burial” would raise the question of interpreting intent, which we do not presume based on the evidence presented in this research. The relevant question in this case is whether the process of burial reflects repeated behavior by a group. As we received input from various colleagues it became clear that burial itself is a highly loaded term. In particular there is a common assumption within the literature and among professionals that burial must by definition be symbolic. We do not take any position on that question in this manuscript, and it is our hope that the term “cultural burial” may focus the conversation around the extent that the behavioral evidence is repeated and patterned. 

      Sedimentology and geochemistry of Dinaledi Feature 1:

      Reviewer 4 provided detailed comments on the sedimentological and geochemical context that we report in the manuscript. One outside review (Foecke et al. 2024) included some of the points raised by reviewer 4, and additionally addressed the reporting of geochemical and sedimentological data in previous work that we cite. 

      To address these comments we have revised the sedimentary context and micromorphology of sediments associated with Dinaledi Feature 1. In the new text we demonstrate the lack of microstratigraphy (supported by grain size analysis) in the unlithified mud clast breccia (UMCB), while such a microstratigraphy is observed in the laminated orange-red mudstones (LORM) that contribute clasts to the UMCB. Thus, we emphasize the presence and importance of a laterally continuous layer of LORM nature occurring at a level that appears to be the maximum depth of fossil occurrence. This layer is severely broken under extensive accumulation of fossils such as Feature 1 and only evidenced by abundant LORM clasts within and around the fossils. 

      We have completely reworked the geochemical context associated with Feature 1 following the comments of reviewer 4. We described the variations and trends observed in the major oxides separate from trace and rare-earth elements. We used Harker variations plots to assess relationships between these element groups with CaO and Zn, followed by principal component analysis of all elements analyzed. The new geochemical analysis clearly shows that Feature 1 is associated with localized trace element signatures that exist in the sediments only in association with the fossil bones, which suggests lack of postdepositional mobilization of the fossils and sediments. We additionally have included a fuller description of XRF methods. 

      To clarify the relation of all results to the features described in this study, we removed the geochemical and sedimentological samples from other sites within the Dinaledi Subsystem. These localities within the fissure network represent only surface collection of sediment, as no excavation results are available from those sites to allow for comparison in the context of assessing evidence of burial. These were initially included for comparison, but have now been removed to avoid confusion.  

      Micromorphology of sediments:

      Some referees (1, 3, and 4) and other commentators (including Martinón-Torres et al. 2024) have suggested that the previous manuscript was deficient due to an insufficient inclusion of micromorphological analysis of sediments. Because these commentators have emphasized this kind of evidence as particularly important, we review here what we have included and how our revision has addressed this comment. Previous work in the Dinaledi Chamber (Dirks et al., 2015; 2017) included thin section illustrations and analysis of sediment facies, including sediments in direct association with H. naledi remains within the Puzzle Box area. The previous work by Wiersma and coworkers (2020) used micromorphological analysis as one of several approaches to test the formation history of Unit 3 sediments in the Dinaledi Subsystem, leading to the interpretation of autobrecciation of earlier Unit 1 sediment. In the previous version of this manuscript we provided citations to this earlier work. The previous manuscript also provided new thin section illustrations of Unit 3 sediment near Dinaledi Feature 1 to place the disrupted layer of orange sediment (now designated the laminated orange silty mudstone unit) into context. 

      In the new revised manuscript we have added to this information in three ways. First, as noted above in response to reviewer 4, we have revised and added to our discussion of micromorphology within and adjacent to the Dinaledi Feature 1. Second, we have included more discussion in the Supplementary Information of previous descriptions of sediment facies and associated thin section analysis, with illustrations from prior work (CC-BY licensed) brought into this paper as supplementary figures, so that readers can examine these without following the citations. Third, we have included Figure 10 in the manuscript which includes six panels with microtomographic sections from the Hill Antechamber Feature. This figure illustrates the consistency of sub-unit 3b sediment in direct contact with H. naledi skeletal material, including anatomically associated skeletal elements, with previous analyses that demonstrate the angular outlines and chaotic orientations of LORM clasts. It also shows density contrasts of sediment in immediate contact with some skeletal elements, the loose texture of this sediment with air-filled voids, and apparent invertebrate burrowing activity. To our knowledge this is the first application of microtomography to sediment structure in association with a Pleistocene burial feature. 

      To forestall possible comments that the revised manuscript does not sufficiently employ micromorphological observations, or that any one particular approach to micromorphology is the standard, we present here some context from related studies of evidence from other research groups working at varied sites in Africa, Europe, and Asia. Hodgkins et al. (2021) noted: “Only a handful of micromorphological studies have been conducted on human burials and even fewer have been conducted on suspected burials from Paleolithic or hunter-gatherer contexts.” In that study, one supplementary figure with four photomicrographs of thin sections of sediments was presented. Interpretation of the evidence for a burial pit by Hodgkins et al. (2021) noted the more open microstructure of sediment but otherwise did not rely upon the thin section data in characterizing the sediments associated with grave fill. Martinón-Torres et al. (2021) included one Extended Data figure illustrating thin sections of sediments and bone, with two panels showing sediments (the remainder showing bone histology). The micromorphological analysis presented in the supplementary information of that paper was restricted to description of two microfacies associated with the proposed “pit” in that study. That study did carry out microCT scanning of the partially-prepared skeletal remains but did not report any sediment analysis from the microtomographic results. Maloney et al. (2022) reported no micromorphological or thin section analysis. Pomeroy et al. (2020a) included one illustration of a thin section; this study may be regarded as a preliminary account rather than a full description of the work undertaken. Goldberg et al. (2017) analyzed the geoarchaeology of the Roc de Marsal deposits in which possible burial-associated sediments had been fully excavated in the 1960s, providing new morphological assessments of sediment facies; the supplementary information to this work included five scans (not microscans) of sediment thin sections and no microphotographs. Fewlass et al. (2023) presented no thin section or micromorphological illustrations or methods. In summary of this research, we note that in one case micromorphological study provided observations that contributed to the evidence for a pit, in other cases micromorphological data did not test this hypothesis, and many researchers do not apply micromorphological techniques in their particular contexts. 

      Sediment micromorphology is a growing area of research and may have much to provide to the understanding of ancient burial evidence as its standards continue to develop (Pomeroy et al. 2020b). In particular microtomographic analysis of sediments, as we have initiated in this study, may open new horizons that are not possible with more destructive thin-section preparation. In this manuscript, the thin section data reveals valuable evidence about the disruption of sediment structure by features within the Dinaledi Chamber, and microtomographic analysis further documents that the Hill Antechamber Feature reflects similar processes, in addition to possible post-burial diagenesis and invertebrate activity. Following up in detail on these processes will require further analysis outside the scope of this manuscript. 

      Access into the Dinaledi Subsystem:

      Reviewer 1 emphasizes the difficulty of access into the Dinaledi Subsystem as a reason why the burial hypothesis is not parsimonious. Similar comments have been made by several outside commentators who question whether past accessibility into the Dinaledi Subsystem may at one time have been substantially different from the situation documented in previous work. Several pieces of evidence are relevant to these questions and we have included some discussion of them in the Introduction, and additionally include a section in the Supplementary Information (“Entrances to the cave system”) to provide additional context for these questions. Homo naledi remains are found not only within the Dinaledi Subsystem but also in other parts of the cave system including the Lesedi Chamber, which is similarly difficult for non-expert cavers to access. The body plan, mass, and specific morphology of H. naledi suggest that this species would be vastly more suited to moving and climbing within narrow underground passages than living people. On this basis it is not unparsimonious to suggest that the evidence resulted from H. naledi activity within these spaces. We note that the accessibility of the subsystem is not strictly relevant to the hypothesis of cultural burial, although the location of the remains does inform the overall context which may reflect a selection of a location perceived as special in some way. 

      Stuffing bodies down the entry to the subsystem:

      Reviewer 3 suggests that one explanation for the emplacement of articulated remains at the top of the sloping floor of the Hill Antechamber is that bodies were “stuffed” into the chute that comprises the entry point of the subsystem and passively buried by additional accumulation of remains. This was one hypothesis presented in earlier work (Dirks et al. 2015) and considered there as a minimal explanation because it did not entail the entry of H. naledi individuals into the subsystem. The further exploration (Elliott et al. 2021) and ongoing survey work, as well as this manuscript, all have resulted in data that rejects this hypothesis. The revised manuscript includes a section in the results “Deposition upon a talus with passive burial” that examines this hypothesis in light of the data. 

      Recognition of pits:

      Referee 3 and 4 and several additional commentators have emphasized that the recognition of pit features is necessary to the hypothesis of burial, and questioned whether the data presented in the manuscript were sufficient to demonstrate that pits were present. We have revised the manuscript in several ways to clarify how all the different kinds of evidence from the subsystem test the hypothesis that pits were present. This includes the presentation of a minimal definition of burial to include a pit dug by hominins, criteria for recognizing that a pit was present, and an evaluation of the evidence in each case to make clear how the evidence relates to the presence of a pit and subsequent infill. As referee 3 notes, it can be challenging to recognize a pit when sediment is relatively homogeneous. This point was emphasized in the review by Pomeroy and coworkers (2020b), who reflected on the difficulty seeing evidence for shallow pits constructed by hominins, and we have cited this in the main text. As a result, the evidence for pits has been a recurrent topic of debate for most Pleistocene burial sites. However in addition to the sedimentological and contextual evidence in the cases we describe, the current version also reflects upon other possible mechanisms for the accumulation of bones or bodies. The data show that the sedimentary fill associated with the H. naledi remains in the cases we examine could not have passively accumulated slowly and is not indicative of mass movement by slumping or other high-energy flow. To further put these results into context, we added a section to the Discussion that briefly reviews prior work on distinguishing pits in Pleistocene burial contexts, including the substantial number of sites with accepted burial evidence for which no evidence of a pit is present. 

      Extent of articulation and anatomical association:

      We have added significantly greater detail to the descriptions of articulated remains and orientation of remains in order to describe more specifically the configuration of the skeletal material. We also provide 14 figures in main text (13 of them new) to illustrate the configuration of skeletal remains in our data. For the Puzzle Box area, this now includes substantial evidence on the individuation of skeletal fragments, which enables us to illustrate the spatial configuration of remains associated with the DH7 partial skeleton, as well as the spatial position of fragments refitted as part of the DH1, DH2, DH3, and DH4 crania. For Dinaledi Feature 1 and the Hill Antechamber Feature we now provide figures that key skeletal parts as identified, including material that is unexcavated where possible, and a skeletal part representation figure for elements excavated from Dinaledi Feature 1. 

      Archaeothanatology:

      Reviewer 2 suggests that a greater focus on the archaeothanatology literature would be helpful to the analysis, with specific reference to the sequence of joint disarticulation, the collapse of sediment and remains into voids created by decomposition, and associated fragmentation of the remains. In the revised manuscript we have provided additional analysis of the Hill Antechamber Feature with this approach in mind. This includes greater detail and illustration of our current hypothesis for individuation of elements. We now discuss a hypothesis of body disposition, describe the persistent joints and articulation of elements, and examine likely decomposition scenarios associated with these remains. Additionally, we expand our description and illustration of the orientation of remains and degree of anatomical association and articulation within Dinaledi Feature 1. For this feature and for the Hill Antechamber Feature we have revised the text to describe how fracturing and crushing patterns are consistent with downward pressure from overlying sediment and material. In these features, postdepositional fracturing occurred subsequent to the decomposition of soft tissue and partial loss of organic integrity of the bone. We also indicate that the loss by postdepositional processes of most long bone epiphyses, vertebral bodies, and other portions of the skeleton less rich in cortical bone, poses a challenge for testing the anatomical associations of the remaining elements. This is a primary reason why we have taken a conservative approach to identification of elements and possible associations. 

      A further aspect of the site revealed by our analysis is the selective reworking of sediments within the Puzzle Box area subsequent to the primary deposition of some bodies. The skeletal evidence from this area includes body parts with elements in anatomical association or articulation, juxtaposed closely with bone fragments at varied pitch and orientation. This complexity of events evidenced within this area is a challenge for approaches that have been developed primarily based on comparative data from single-burial situations. In these discussions we deepen our use of references as suggested by the referee.   

      Burial positions:

      Reviewer 2 further suggests that illustrations of hypothesized burial positions would be valuable. We recognize that a hypothesized burial position may be an appealing illustration, and that some recent studies have created such illustrations in the context of their scientific articles. However such illustrations generally include a great deal of speculation and artist imagination, and tend to have an emotive character. We have added more discussion to the manuscript of possible primary disposition in the case of the Hill Antechamber Feature as discussed above. We have not created new illustrations of hypothesized burial positions for this revision. 

      Carnivore involvement:

      Referee 1 suggests that the manuscript should provide further consideration of whether carnivore activity may have introduced bones or bodies into the cave system. The reorganized Introduction now includes a review of previous work, and an expanded discussion within the Supplementary Information (“Hypotheses tested in previous work”). This includes a review of literature on the topic of carnivore accumulation and the evidence from the Dinaledi and Lesedi Chamber that rejects this hypothesis. 

      Water transport and mud:

      The eLife referees broadly accepted previous work showing that water inundation or mass flow of water-saturated sediment did not occur within the history of Unit 2 and 3 sediments, including those associated with H. naledi remains. However several outside commentators did refer specifically to water flow or mud flow as a mechanism for slumping of deposits and possible sedimentary covering of the remains. To address these comments we have added a section to the

      Supplementary Information (“Description of the sedimentary deposits of the Dinaledi Subsystem”) that reviews previous work on the sedimentary units and formation processes documented in this area. We also include a subsection specifically discussing the term “mud” as used in the description of the sedimentology within the system, as this term has clearly been confusing for nonspecialists who have read and commented on the work. We appreciate the referees’ attention to the previous work and its terminology.  

      Redescription of areas of the cave system:

      Reviewer 1 suggests that a detailed reanalysis of all portions of the cave system in and around the Dinaledi Subsystem is warranted to reject the hypothesis that bodies entered the space passively and were scattered from the floor by natural (i.e. noncultural) processes. The referee suggests that National Geographic could help us with these efforts. To address this comment we have made several changes to the manuscript. As noted above, we have added material in Supplementary Information to review the geochronology of the Dinaledi Subsystem and nearby Dragon’s Back Chamber, together with a discussion of the connections between these spaces. 

      Most directly in response to this comment we provide additional documentation of the possibility of movement of bodies or body parts by gravity within the subsystem itself. This includes detailed floor maps based on photogrammetry and LIDAR measurement, where these are physically possible, presented in Figures 2 and 3. In some parts of the subsystem the necessary equipment cannot be used due to the extremely confined spaces, and for these areas our maps are based on traditional survey methods. In addition to plan maps we have included a figure showing the elevation of the subsystem floor in a cross-section that includes key excavation areas, showing their relative elevation. All figures that illustrate excavation areas are now keyed to their location with reference to a subsystem plan. These data have been provided in previous publications but the visualization in the revised manuscript should make the relationship of areas clear for readers. The Introduction now includes text that discusses the configuration of the Hill Antechamber, Dinaledi Chamber, and nearby areas, and also discusses the instances in which gravity-driven movement may be possible, at the same time reviewing that gravity-driven movement from the entry point of the subsystem to most of the localities with hominin skeletal remains is not possible. 

      Within the Results, we have added a section on the relationship of features to their surroundings in order to assist readers in understanding the context of these bone-bearing areas and the evidence this context brings to the hypothesis in question. We have also included within this new section a discussion of the discrete nature of these features, a question that has been raised by outside commentators. 

      Passive sedimentation upon a cave floor or within a natural depression:

      Reviewer 3 suggests that the situation in the Dinaledi Subsystem may be similar to a European cave where a cave bear skeleton might remain articulated on a cave floor (or we can add, within a hollow for hibernation), later to be covered in sediment. The reviewer suggests that articulation is therefore no evidence of burial, and suggests that further documentation of disarticulation processes is essential to demonstrating the processes that buried the remains. We concur that articulation by itself is not sufficient evidence of cultural burial. To address this comment we have included a section in the Results that tests the hypothesis that bodies were exposed upon the cave floor or within a natural depression. To a considerable degree, additional data about disarticulation processes subsequent to deposition are provided in our reanalysis of the Puzzle Box area, including evidence for selective reworking of material after burial. 

      Postdepositional movement and floor drains:

      Reviewer 3 notes that previous work has suggested that subsurface floor drains may have caused some postdepositional movement of skeletal remains. The hypothesis of postdepositional slumping or downslope movement has also been discussed by some external commentators (including Martinón-Torres et al. 2024). We have addressed this question in several places within the revised manuscript. As we now review, previous discussion of floor drains attempted to explain the subvertical orientation of many skeletal elements excavated from the Puzzle Box area. The arrangement of these bones reflects reworking as described in our previous work, and without considering the possibility of reworking by hominins, one mechanism that conceivably might cause reworking was downward movement of sediments into subsurface drains. Further exploration and mapping, combined with additional excavation into the sediments beneath the Puzzle Box area provided more information relevant to this hypothesis. In particular this evidence shows that subsurface drains cannot explain the arrangement of skeletal material observed within the Puzzle Box area. As now discussed in the text, the reworking is selective and initiated from above rather than below. This is best explained by hominin activity subsequent to burial. 

      In a new section of the Results we discuss slumping as a hypothesis for the deposition of the remains. This includes discussion of downslope movement within the Hill Antechamber and the idea that floor drains may have been a mechanism for sediment reworking in and around the Puzzle Box area and Dinaledi Feature 1. As described in this section the evidence does not support these hypotheses. 

      Hypothesis testing and parsimony:

      Referees 1 and 3 and the editorial guidance all suggested that a more appropriate presentation would adopt a null hypothesis and test it. The specific suggestion that the null hypothesis should be a natural sedimentary process of deposition was provided not only by these reviewers but also by some outside commentators. To address this comment, we have edited the manuscript in two ways. The first is the addition of a section to the Discussion that specifically discusses hypothesis testing and parsimony as related to Pleistocene evidence of cultural burial. This includes a brief synopsis of recent disciplinary conversations and citation of work by other groups of authors, none of whom adopted this “null hypothesis” approach in their published work. 

      As we now describe in the manuscript, previous work on the Dinaledi evidence never assumed any role for H. naledi in the burial of remains. Reading the reviewer reports caused us to realize that this previous work had followed exactly the “null hypothesis” approach that some suggested we follow. By following this null hypothesis approach, we neglected a valuable avenue of investigation. In retrospect, we see how this approach impeded us from understanding the pattern of evidence within the Puzzle Box area. Thus in the revised manuscript we have mentioned this history within the Discussion and also presented more of the background to our previous work in the Introduction. Hopefully by including this discussion of these issues, the manuscript will broaden conversation about the relation of parsimony to these issues. 

      Language and presentation style:

      Reviewer 4 criticizes our presentation, suggesting that the text “gives the impression that a hypothesis was formulated before data were collected.” Other outside commentators have mentioned this notion also, including Martinón-Torres et al. (2024) who suggest that the study began from a preferred hypothesis and gathered data to support it. The accurate communication of results and hypotheses in a scientific article is a broader issue than this one study. Preferences about presentation style vary across fields of study as well as across languages. We do not regret using plain language where possible. In any study that combines data and methods from different scientific disciplines, the use of plain language is particularly important to avoid misunderstandings where terms may mean different things in different fields. 

      The essential question raised by these comments is whether it is appropriate to present the results of a study in terms of the hypothesis that is best supported. As noted above, we read carefully many recent studies of Pleistocene burial evidence. We note that in each of these studies that concluded that burial is the best hypothesis, the authors framed their results in the same way as our previous manuscript: an introduction that briefly reviews background evidence for treatment of the dead, a presentation of results focused on how each analysis supports the hypothesis of burial for the case, and then in some (but not all) cases discussion of why some alternative hypotheses could be rejected. We do not infer from this that these other studies started from a presupposition and collected data only to confirm it. Rather, this is a simple matter of presentation style. 

      The alternative to this approach is to present an exhaustive list of possible hypotheses and to describe how the data relate to each of them, at the end selecting the best. This is the approach that we have followed in the revised manuscript, as described above under the direction of the reviewer and editorial guidance. This approach has the advantage of bringing together evidence in different combinations to show how each data point rejects some hypotheses while supporting others. It has the disadvantage of length and repetition. 

      Possible artifact:

      We have chosen to keep the description of the possible artifact associated with the Hill Antechamber Feature in the Supplementary Information. We do this while acknowledging that this is against the opinion of reviewer 4, who felt the description should be removed unless the object in question is fully excavated and physically analyzed. The previous version of the manuscript did not rely upon the stone as positive evidence of grave goods or symbolic content, and it noted that the data do not test whether the possible artifact was placed or was intentionally modified. However this did not satisfy reviewer 4, and some outside commentators likewise asserted that the object must be a “geofact” and that it should be removed. 

      We have three arguments against this line of thinking. First, we do not omit data from our reporting. Whether Homo naledi shaped the rock or not, used it as a tool or not, whether the rock was placed with the body or not, it is unquestionably there. Omitting this one object from the report would be simply dishonest. Second, the data on this rock are at 16 micron resolution. While physical inspection of its surface may eventually reveal trace evidence and will enable better characterization of the raw material, no mode of surface scanning will produce better evidence about the object’s shape. Third, the position of this possible artifact within the feature provides significant information about the deposition of the skeletal material and associated sediments. The pitch, orientation, and position of the stone is not consistent with slow deposition but are consistent with the hypothesis that the surrounding sediment was rapidly emplaced at the same time as the articulated elements less than 2 cm away. 

      In the current version, we have redoubled our efforts to provide information about the position and shape of this stone while not presupposing the intentionality of its shape or placement. We add here that the attitude expressed by referee 4 and other commentators, if followed at other sites, would certainly lead to the loss or underreporting of evidence, which we are trying to avoid.  

      Consistency versus variability of behavior:

      As described in the revised manuscript, different features within the Dinaledi Subsystem exhibit some shared characteristics. At the same time, they vary in positioning, representation of individuals and extent of commingling. Other localities within the subsystem and broader cave system present different evidence. Some commentators have questioned whether the patterning is consistent with a single common explanation, or whether multiple explanations are necessary. To address this line of questioning, we have added several elements to the manuscript. We created a new section on secondary cultural burial, discussing whether any of the situations may reflect this practice. In the Discussion, we briefly review the ways in which the different features support the involvement of H. naledi without interpreting anything about the intentionality or meaning of the behavior. We further added a section to the Discussion to consider whether variation among the features reflects variation in mortuary practices by H. naledi. One aspect of this section briefly cites variation in the location and treatment of skeletal remains at other sites with evidence of burial. 

      Grave goods:

      Some commentators have argued that grave goods are a necessary criterion for recognizing evidence of ancient burial. We added a section to the Discussion to review evidence of grave goods at other Pleistocene sites where burial is accepted. 

      References:

      • Dirks, P. H., Berger, L. R., Roberts, E. M., Kramers, J. D., Hawks, J., Randolph-Quinney, P. S., Elliott, M., Musiba, C. M., Churchill, S. E., de Ruiter, D. J., Schmid, P., Backwell, L. R., Belyanin, G. A., Boshoff, P., Hunter, K. L., Feuerriegel, E. M., Gurtov, A., Harrison, J. du G., Hunter, R., … Tucker, S. (2015). Geological and taphonomic context for the new hominin species Homo naledi from the Dinaledi Chamber, South Africa. eLife, 4, e09561. https://doi.org/10.7554/eLife.09561

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      • Foecke, Kimberly K., Queffelec, Alain, & Pickering, Robyn. (n.d.). No Sedimentological Evidence for Deliberate Burial by Homo naledi – A Case Study Highlighting the Need for Best Practices in Geochemical Studies Within Archaeology and Paleoanthropology. PaleoAnthropology, 2024. https://doi.org/10.48738/202x.issx.xxx

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      • Martinón-Torres, M., Garate, D., Herries, A. I. R., & Petraglia, M. D. (2023). No scientific evidence that Homo naledi buried their dead and produced rock art. Journal of Human Evolution, 103464. https://doi.org/10.1016/j.jhevol.2023.103464

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    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      This work tried to map the synaptic connectivity between the inputs and outputs of the song premotor nucleus, HVC in zebra finches to understand how sensory (auditory) to motor circuits interact to coordinate song production and learning. The authors optimized the optogenetic technique via AAV to manipulate auditory inputs from a specific auditory area one-by-one and recorded synaptic activity from a neuron with whole-cell recording from slice preparation with identification of the projection area by retrograde neuronal tracing. This thorough and detailed analysis provides compelling evidence of synaptic connections between 4 major auditory inputs (3 forebrain and 1 thalamic region) within three projection neurons in the HVC; all areas give monosynaptic excitatory inputs and polysynaptic inhibitory inputs, but proportions of projection to each projection neuron varied. They also find specific reciprocal connections between mMAN and Av. Taken together the authors provide the map of the synaptic connection between intercortical sensory to motor areas which is suggested to be involved in zebra finch song production and learning.

      Strengths:

      The authors optimized optogenetic tools with eGtACR1 by using AAV which allow them to manipulate synaptic inputs in a projection-specific manner in zebra finches. They also identify HVC cell types based on projection area. With their technical advance and thorough experiments, they provided detailed map synaptic connections.

      Weaknesses:

      As it is the study in brain slice, the functional implication of synaptic connectivity is limited. Especially as all the experiments were done in the adult preparation, there could be a gap in discussing the functions of developmental song learning.

      We thank the reviewer for their appreciation of our work. Although we agree that there can be limitations to brain slice preparations, the approaches used here for synaptic connectivity mapping are well-designed to identify long-range synaptic connectivity patterns. Optogenetic stimulation of axon terminals in brain slices does not require intact axons and works well when axons are cut, allowing identification of all inputs expressing optogenetic channels from aXerent regions. Terminal stimulation in slices yields stable post-synaptic responses for hours without rundown, assuring that polysynaptic and monosynaptic connections can be reliably identified in our brain slices.  Additionally, conducting similar types of experiments in vivo can run into important limitations. First, the extent of TTX and 4-AP diXusion, which is necessary for identification of long-range monosynaptic connections, can be diXicult to verify in vivo - potentially confounding identification of monosynaptic connectivity.  Second, conducting whole-cell patch-clamp experiments in vivo, particularly in deeper brain regions, is technically challenging, and would limit the number of cells that can be patched and increase the number of animals needed. 

      We agree that there may well be important diXerences between adult connectivity and connectivity patterns in the juvenile brain. Indeed, learning and experience during development almost certainly shape connectivity patterns and these patterns of connectivity may change incrementally and/or dynamically during development. Ultimately, adult connectivity patterns are the result of changes in the brain that accrue over development. Given that this is the first study mapping long-range connectivity of HVC input-output pathways, we reasoned that the adult connectivity would provide a critical reference allowing future studies to map diXerent stages of juvenile connectivity and the changes in connectivity driven by milestones like forming a tutor song memory, sensorimotor learning, and song crystallization.

      In this revision we worked to better highlight the points raised above and thank the reviewer for their comments.

      Reviewer #2 (Public review):

      Summary:

      The manuscript describes synaptic connectivity in the Songbird cortex's four main classes of sensory neuron aXerents onto three known classes of projection neurons of the pre-motor cortical region HVC. HVC is a region associated with the generation of learned bird songs. Investigators here use all male zebra finches to examine the functional anatomy of this region using patch clamp methods combined with optogenetic activation of select neuronal groups.

      Strengths:

      The quality of the recordings is extremely high and the quantity of data is on a very significant scale, this will certainly aid the field.

      Weaknesses:

      The authors could make the figures a little easier to navigate. Most of the figures use actual anatomical images but it would be nice to have this linked with a zebra finch atlas in more of a cartoon format that accompanied each fluro image. Additionally, for the most part, figures showing the labeling lack scale bar values (in um). These should be added not just shown in the legends.

      The authors could make it clear in the abstract that this is all male zebra finches - perhaps this is obvious given the bird song focus, but it should be stated. The number of recordings from each neuron class and the overall number of birds employed should be clearly stated in the methods (this is in the figures, but it should say n=birds or cells as appropriate).

      The authors should consider sharing the actual electrophysiology records as data.

      We thank the reviewer for their assessment of our research and suggestions. We have implemented many of these suggestions and provide details in our response to their specific Recommendations. Additionally, we are organizing our data and will make it publicly available with the version of record.

      Reviewer #3 (Public review):

      Nucleus HVC is critical both for song production as well as learning and arguably, sitting at the top of the song control system, is the most critical node in this circuit receiving a multitude of inputs and sending precisely timed commands that determine the temporal structure of song. The complexity of this structure and its underlying organization seem to become more apparent with each experimental manipulation, and yet our understanding of the underlying circuit organization remains relatively poorly understood. In this study, Trusel and Roberts use classic whole-cell patch clamp techniques in brain slices coupled with optogenetic stimulation of select inputs to provide a careful characterization and quantification of synaptic inputs into HVC. By identifying individual projection neurons using retrograde tracer injections combined with pharmacological manipulations, they classify monosynaptic inputs onto each of the three main classes of glutamatergic projection neurons in HVC (RA-, Area X- and Av-projecting neurons). This study is remarkable in the amount of information that it generates, and the tremendous labor involved for each experiment, from the expression of opsins in each of the target inputs (Uva, NIf, mMAN, and Av), the retrograde labelling of each type of projection neuron, and ultimately the optical stimulation of infected axons while recording from identified projection neurons. Taken together, this study makes an important contribution to increasing our identification, and ultimately understanding, of the basic synaptic elements that make up the circuit organization of HVC, and how external inputs, which we know to be critical for song production and learning, contribute to the intrinsic computations within this critic circuit.

      This study is impressive in its scope, rigorous in its implementation, and thoughtful regarding its limitations. The manuscript is well-written, and I appreciate the clarity with which the authors use our latest understanding of the evolutionary origins of this circuit to place these studies within a larger context and their relevance to the study of vocal control, including human speech. My comments are minor and primarily about legibility, clarification of certain manipulations, and organization of some of the summary figures.

      We thank the reviewer for their thoughtful assessment of our research.

      Recommendations for the authors:

      The following recommendations were considered by all reviewers to be important to incorporate for improving this paper:

      (1) Clarify the site of viral injection and the possibility of labeling other structures a) Show images of viral injection sites.

      We provide a representative image of viral expression for each pathway studied in this manuscript. Please see panel A in Figures 2-3 and 5-6 showing our viral expression in Uva, NIf, mMAN, and Av respectively.  

      b) Include in discussion caveats that the virus may spread beyond the boundaries of structures (e.g. especially injections into NIF could spread into Field L).

      For each HVC aXerent nucleus we have now included a sentence describing the possible spread of viral infection in surrounding structures in the Results. We also now expanded the image from the Av section to include NIf, to showcase lack of viral expression in NIf (see Fig. 6A).

      (2) Clarify the logic and precise methods of the TTX and 4-AP experiments

      a) Please see the detailed issue raised by Reviewer 3, Major Point 1 below.

      The TTX and 4AP application is the gold-standard of opsin-assisted synaptic circuit interrogation, pioneered by the Svoboda lab in 2009 (Petreanu, Mao et al. 2009) and widely used to assess monosynaptic connectivity in multiple brain circuits, as summarized in a recent review(Linders, Supiot et al. 2022). We now better describe the logic of this approach in the second paragraph of the Results section and cite the first description of this method from the Svoboda lab and a recent review weighing this method with other optogenetic methods for tracing synaptic connections in the brain.

      (3) Include caveats in discussion

      a) Note that there may be other inputs to HVC that were not examined in this study (e.g. CMM, Field L)

      In our original manuscript we did state “Although a complete description of HVC circuitry will require the examination of other potential inputs (i.e. RA<sub>HVC</sub> PNs, A11 glutamatergic neurons(Roberts, Klein et al. 2008, Ben-Tov, Duarte et al. 2023)) and a characterization of interneuron synaptic connectivity, here we provide a map of the synaptic connections between the 4 best described aPerents to HVC and its 3 populations of projection neurons” in the last paragraph of the Discussion. We have now edited this sentence to include the projection from NCM to HVC and cited Louder et al., 2024.

      We have extensively mapped input pathways to HVC, and consistent with Vates (Vates, Broome et al. 1996) we have not found evidence that Field L projects to HVC. Rather that it projects to the shelf region outside of HVC. Consistent with this, we do not see retrogradely labeled neurons in Field L following tracer injections confined to HVC (see Fig. 3G). Additionally, we find that CM projections to HVC arise from the nucleus Avalanche (Roberts, Hisey et al. 2017) which we specifically examine in this study. We do not dispute that there may be other pathways projecting to HVC that will need to be examined in the future, including known projections from neuromodulatory regions and RA, from developmentally restricted pathway(s) like NCM (Louder, Kuroda et al. 2024), and from yet unidentified pathways.

      b) Also note that birds in this study were adults and that some inputs to HVC likely to be important for learning may recede during development (e.g. Louder et al, 2024).

      In the second to last paragraph of the Discussion we now state: While our opsin-assisted circuit mapping provides us with a new level of insight into HVC synaptic circuitry, there are limitations to this research that should be considered. All circuit mapping in this study was carried out in brain slices from adult male zebra finches. Future studies will be needed to examine how this adult connectivity pattern relates to patterns of connectivity in juveniles during sensory or sensorimotor phases of vocal learning and connectivity patterns in female birds.   

      (4) Consider cosmetic changes to figures as suggested by Reviewers 2-3 below.

      We thank the reviewers for their suggestions and have implemented the changes as best we can.

      (5) Address all minor issues raised below.

      Reviewer #1 (Recommendations for the authors):

      I see this study is well designed to answer the author's specific question, mapping synaptic auditorymotor connections within HVC. Their experiments with advanced techniques of projection-specific optogenetic manipulation of synaptic inputs and retrograde identification of projection areas revealed input-output combination selective synaptic mapping.

      As I found this study advanced our knowledge with the compelling dataset, I have only some minor comments here.

      (1) One technical concern is we don't see how much the virus infection was focused on the target area and if we can ignore the eXect of synaptic connectivity from surrounding areas. As the amount of virus they injected is large (1.5ul) and target areas are small, we assume the virus might spread to the surrounding area, such as field L which also projects to HVC when targeting Nif. While I think the majority of the projections were from their target areas, it would be better to mention (also the images with larger view areas) the possibilities of projections of surrounding areas.

      We agree with the reviewer about the concern about specificity of viral expression. For this reason, we included sample images of the viral expression in each target area (panel A in Fig. 2,3,5,6). We have now also included a sentence at the beginning of each subsection of our Result to describe how we have ensured interpretability of the results. Uva and mMAN’s surrounding areas are not known to project to HVC. Possible cross-infection is an issue for Av and NIf, and we checked each bird’s injection site to ensure that eGtACR1+ cells were not visible in the unintended HVC-projecting areas.

      As mentioned in our response the public comment, consistent with Vates (Vates, Broome et al. 1996) we do not see evidence that Field L projects directly to HVC (see Fig. 3G).

      (2) Another concern about the technical issue is the damage to axonal projections. While I understand the authors stimulated axonal terminals axonal projections were assumed to be cut and their ability to release neurotransmitters would be reduced especially after long-term survival or repeated stimulation. Mentioning whether projection pathways were within their 230um-thick slice (probably depends on input sites) or not and the eXect of axonal cut would be helpful.

      We agree that slice electrophysiology has limitations. However, we disagree with the claim of reduced reliability or stability of the evoked response. We and others find that electrical and optogenetic repeated terminal stimulation in slices can yield stable post-synaptic responses for tens of minutes and even hours (Bliss and Gardner-Medwin 1973, Bliss and Lomo 1973, Liu, Kurotani et al. 2004, Pastalkova, Serrano et al. 2006, Xu, Yu et al. 2009, Trusel, Cavaccini et al. 2015, Trusel, Nuno-Perez et al. 2019). Indeed, long-term synaptic plasticity experiments in most preparations and across brain areas rely on such stability of the presynaptic machinery for synaptic release, despite axons being severed from their parent soma. Our assumption is the vast majority, if not all, connections between axon terminals and their cell body in the aXerent regions have been cut in our preparations. Nonetheless, the diversity of outcomes we report (currents returning after TTX+4AP or not, depending on the specific combination of input and HVCPN class) is consistent with the robustness of the synaptic interrogation method. 

      (3) While I understand this study focused on 4 major input areas and the authors provide good pictures of synaptic HVC connections from those areas, HVC has been reported to receive auditory inputs from other areas as well (CMM, FieldL, etc.). It is worth mentioning that there are other auditory inputs and would be interesting to discuss coordination with the inputs from other areas.

      We have extensively mapped input pathways to HVC, and consistent with Vates (Vates, Broome et al. 1996) we have not found evidence that Field L projects to HVC. Rather that it projects to the shelf region outside of HVC. Consistent with this, we do not see retrogradely labeled neurons in Field L following tracer injections confined to HVC (see Fig. 3G). Additionally, we find that CM projections to HVC arise from the nucleus Avalanche (Roberts, Hisey et al. 2017) which we specifically examine in this study. We do not dispute that there may be other pathways projecting to HVC that will need to be examined in the future, including known projections from neuromodulatory regions and RA, from developmentally restricted pathway(s) like NCM (Louder, Kuroda et al. 2024), and from yet unidentified pathways.

      (4) The HVC local neuronal connections have been reported to be modified and a recent study revealed the transient auditory inputs into HVC during song learning period. The author discusses the functions of HVC synaptic connections on song learning (also title says synaptic connection for song learning), however, the experiments were done in adults and dp not discuss the possibility of diXerent synaptic connection mapping in juveniles in the song learning period. Mentioning the neuronal activities and connectivity changes during song learning is important. Also, it would be helpful for the readers to discuss the potential diXerences between juveniles/adults if they want to discuss the functions of song learning.

      We now mention in the Discussion that this is an important caveat of our research and that future studies will be needed to examine how these adult connectivity patterns relate to connectivity patterns in juveniles during sensory or sensorimotor phases of vocal learning and connectivity patterns in female birds. Nonetheless, the title and abstract cite song learning because it is important for the broader public to understand that at least some of these aXerent brain regions carry an essential role in song learning (Foster and Bottjer 2001, Roberts, Gobes et al. 2012, Roberts, Hisey et al. 2017, Zhao, Garcia-Oscos et al. 2019, Koparkar, Warren et al. 2024).

      Reviewer #2 (Recommendations for the authors):

      The work is very detailed and will be an important resource to those working in the field. The recordings are of a high quality and lots of information is included such as measures of response kinetics amplitude and pharmacological confirmation of excitatory and inhibitory synaptic responses. In general, I feel the quality is extremely high and the quantity of data is on a very significant exhaustive scale that will certainly aid the field. I have come at this conclusion as a non zebra finch person but I feel the connection information shown will be of benefit given its high quality.

      Figure 7 is a nice way of showing the overall organization. Optional suggestion, consider highlighting anything in Figure 7 that results in a new understanding of the song system as compared to previous work on anatomy and function.

      We thank the reviewer for the kind comments about our research. We have highlighted our newly found connection between mMAN and Av and all the connections onto the HVC PNs in Panel B are newly identified in this study.

      Reviewer #3 (Recommendations for the authors):

      Major points

      (1) Clarification regarding methods for determining monosynaptic events:

      One of the manipulations that I struggled the most with was those describing the use of TTX + 4AP to isolate monosynaptic events. Initially, not being as familiar with the use of optically based photostimulation of axons to release transmitter locally, I was initially confused by statements such as "we found that oEPSC returned after application of TTX+4AP". This might be clear to someone performing these manipulations, but a bit more clarification would be helpful. Should I assume that an existing monosynaptic EPSC would be masked by co-occurring polysynaptic IPSCs which disappear following application of TTX + 4AP, thereby unmasking the monosynaptic EPSC, thereby causing the EPSC to "return"? A word that I am not sure works. Continuing my confusion with these experiments, I am unsure how this cocktail of drugs is added, if it is even added as a cocktail, which is what I initially assumed. The methods and the results are not so clear if they are added in sequence and why and if traces are recorded after the addition of both drugs or if they are recorded for TTX and then again for TTX + 4AP. Finally, looking at the traces in the experimental figures (e.g. Figures 2F, 3F, 5F, and 6F), it is diXicult to see what is being shown, at least for me. First, the authors need to describe better in the results why they stimulate twice in short succession and why they seem to use the response to the second pulse (unless I am mistaken) to measure the monosynaptic event. Second, I was confused by the traces (which are very small) in the presence of TTX. I would have expected to see a response if there was a monosynaptic EPSC but I only seem to see a flat line.  

      The confusion that I list above might be due in part to my ignorance, but it is important in these types of papers not to assume too much expertise if you want readers with a less sophisticated understanding of synaptic physiology to understand the data. In other words, a little bit more clarity and hand-holding would be welcome.

      We understand the reviewer’s confusion about the methodology.  In Voltage clamp, the amplifier injects current through the electrode maintaining the membrane voltage to -70mV, where the equilibrium potential for Cl- is near equilibrium, and therefore the only synaptic current evoked by light stimulation is due to cation influx, mainly through AMPA receptors (see Fig. 1).  Therefore, cooccurring polysynaptic IPSCs wouldn’t be visible. We examine those holding the membrane voltage at +10mV, see Fig. 1. TTX application suppresses V-dependent Na+ channels and therefore stops all neurotransmission. We show the traces upon TTX to show that currents we were recording prior to TTX application were of synaptic origin, and not due to accidental expression of opsin in the patched cell. Also, this ensures that any current visible after 4AP application is due to monosynaptic transmission and not to a failure of TTX application.

      After recording and light stimulation with TTX, we then add 4AP, which is a blocker of presynaptic K+ channels. This prevents the repolarization of the terminals that would occur in response to opsinmediated local depolarization. 4AP application, therefore, allows local opsin-driven depolarizations to reach the threshold for Ca2+-dependent vesicle docking and release. This procedure selectively reveals or unmasks the monosynaptic currents because any non-monosynaptically connected neuron would still need V-dependent Na+ channels to eXectively produce indirect neurotransmission onto the patched cell. The TTX and 4AP application is the gold-standard of opsinassisted synaptic circuit interrogation, pioneered by the Svoboda lab in 2009 and widely used to assess monosynaptic connectivity in multiple brain circuits, as summarized in a recent review (Linders et al., 2022). We now include 2 more sentences near the beginning of the Results to clarify this process and directly point to the Linders review for researchers wanting a deeper explanation of this technique. 

      The double stimulation is unrelated to our testing of monosynaptic connections. We originally conducted the experiments by delivering 2 pulses of light separated by 50ms, a common way to examine the pair-pulse ratio (PPR) – a physiological measure which is used to probe synapses for short-term plasticity and release probability. However, through discussions with colleagues we realized that the slow decay time of eGtACR1 may complicate interpretation of the response to the second light pulse. Thus, we elected to not report these results and indicated this in the Methods section:  “We calculated the paired-pulse ratio (PPR) as the amplitude of the second peak divided by the amplitude of the first peak elicited by the twin stimuli, however due to slow kinetics of eGtACR1 the results would be diPicult to interpret, and therefore we are not currently reporting them.” 

      (2) Suggestions for improving summary figures:

      Summary Figure 1a: The circuit diagram (schematic to the right of 1a) is OK but I initially found it a bit diXicult to interpret. For example, it is not clear why pink RA projecting neurons don't reach as far to the right as X or Av projecting neurons, suggesting that they are not really projection neurons. Also, the big question marks in the intermediate zone are not entirely intuitive. It seems there might be a better way of representing this. It might also be worth stating in the figure legend that the interconnectivity patterns shown in the figure between PNs in HVC are based on specific prior studies.

      We thank the reviewer for the constructive criticism. We have modified the figure to extend the RA projection line and mentioned in the figure legend that connectivity between PNs is based on prior studies.

      Summary Figure 1a: I am not sure I love this figure. There are a few minor issues. First, there are too many browns [Nif/AV and mMAN] which makes it more challenging to clearly disambiguate the diXerent projections. Second, it is unclear why this figure does not represent projections from RA to HVC. My biggest concern with this figure is that it oversimplifies some of the findings. From the figure, one gets the impression that Uva only projects to RA-PNs and that Av only projects to X-PNs even though the authors show connections to other PNs. With the small sample size in this current study for each projection and each PN type, one really cannot rule out that these "minority" projections are not important. I, therefore, suggest that the authors qualitatively represent the strength/probability of connections by weighting with thickness of aXerent connections.

      We assume the reviewer is commenting on our summary figure panel 7B. We agree with the referee that this is a simplified representation of our findings. We had indeed indicated in the legend that this was just a “Schematic of the HVC aXerent connectivity map resulting from the present work” and that “For conceptualization purposes, aXerent connectivity to HVC-PNs is shown only when the rate of monosynaptic connectivity reaches 50% of neurons examined”. We have added a title to highlight that this is but a simplification. We have now adjusted the colors to make the figure easier to follow. Based on the reviewers critique we searched for a better method for summarizing the complex connectivity patterns described in this research. We settled on a Sankey diagram of connectivity. This is now Figure 7C. In this diagram, we are able to show the proportion of connections from each input pathway onto each class of neuron and if these connections are poly or monosynaptic. We find this to a straightforward way of displaying all of the connectivity patterns identified in our figure 2-3 and 4-5 look forward to understanding if the reviewers find this a useful way of illustrating our findings.

      Minor points:

      (1) Line 50 - typo - song circuits.

      Thank you for catching this.

      (2) Line 106 - 111 - The findings suggest that 100% of Uva projections onto HVCRA neurons are monosynaptic. However, because the authors only tested 6 neurons their statements that their findings are so diXerent from other studies, should be somewhat tempered since these other studies (e.g. Moll et al.) looked at 251 neurons in HVC and sampling bias could still somewhat explain the diXerence.

      We observed oEPSCs in 43 of 51 (84.3%) HVC-RA neurons recorded (mean rise time = 2.4 ms) and monosynaptic connections onto 100% of the HVC-RA neurons tested (n = 6). Moll et al. combined electrical stimulation of Uva with two-photon calcium imaging (GCaMP6s) of putative HVC-RA neurons (n = 251 neurons). We should note that these are putative HVC-RA neurons because they were not visually identified using retrograde tracing or using some other molecular handle. They report that only ~16% of HVC-RA neurons showed reliable calcium responses following Uva stimulation. Although the experiments by Moll et al are technically impressive, calcium imaging is an insensitive technique for measuring post-synaptic responses, particularly subthreshold responses, when compared to whole-cell patch-clamp recordings. This approach cannot identify monosynaptic connections and is likely limited to only be sensitive suprathreshold activity that likely relies on recruitment of other polysynaptic inputs onto the neurons in HVC. Furthermore, as indicated in the Discussion, our opsin-mediated synaptic interrogation recruits any eGtACR1+ Uva terminal in the slice and therefore will have great likelihood of revealing any existing connections. 

      A limitation of whole-cell patch-clamp recordings is that it is a laborious low throughput technique. Future experiments using better imaging approaches, like voltage imaging, may be able to weigh in on diXerences between what we report here using whole-cell patch-clamp recordings from visually identified HVC-RA neurons combined with optogenetic manipulations of Uva terminals and the calcium imaging results reported by Moll. Nonetheless, whole-cell patch-clamp recordings combined with optogenetic manipulations is likely to remain the most sensitive method for identifying synaptic connectivity.

      (3) Figure 2G - the significance of white circles is not clear.

      The figure legend indicates that those highlight and mark the position of “retrogradely labeled HVCprojecting neurons in Uva (cyan, white circles)” to facilitate identification of colocalization with the in-situ markers.

      (4) Line 135 - Cardin et al. (J. Neurophys. 2004) is the first to show that song production does not require Nif.

      We thank the reviewer pointing this out and we have cited this important study. 

      (5) Line 183 - This is a confusing sentence because I initially thought that mMAN-mMANHVC PNs was a category!

      We switched the dash with a colon.

      (6) Figure 4d could use some arrows to identify what is shown. It is assumed that the box represents mMAN. Should it be assumed that Av is not in the plane of this section? If not, this should be stated in the legend. It is also unclear where the anterograde projections are. Is this the dork highway that goes from the box to the dorsal surface? If yes this should be indicated but it should also be made clear why the projections go both in the dorsal as well as the ventral directions.

      The inset, as indicated by the lines around it, is a magnification of the terminal fields in Av. We added an explanation of the inset.

      (7) Discussion. In the introduction, the authors mention projections from RA to HVC but never end up studying them in the current manuscript which seems like a missed opportunity and perhaps even a weakness of the study. In the discussion, it would certainly be good for the authors to at least discuss the possible significance of these projections and perhaps why they decided not to study them.

      We thank the reviewer for the comment. Unfortunately, we couldn’t reliably evoke interpretable currents from RA, and we elected to publish the current version of the paper with these 4 major inputs. Nonetheless, we have indicated in the Introduction and in the Discussion that more inputs (e.g. RA, A11, NCM) remain to be evaluated. 

      (8) Line 622 - Is this reference incomplete?

      We thank the reviewer. We have corrected the reference.

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    1. Reviewer #1 (Public review):

      Wang et al., recorded concurrent EEG-fMRI in 107 participants during nocturnal NREM sleep to investigate brain activity and connectivity related to slow oscillations (SO), sleep spindles, and in particular their co-occurrence. The authors found SO-spindle coupling to be correlated with increased thalamic and hippocampal activity, and with increased functional connectivity from the hippocampus to the thalamus and from the thalamus to the neocortex, especially the medial prefrontal cortex (mPFC). They concluded the brain-wide activation pattern to resemble episodic memory processing, but to be dissociated from task-related processing and suggest that the thalamus plays a crucial role in coordinating the hippocampal-cortical dialogue during sleep.

      The paper offers an impressively large and highly valuable dataset that provides the opportunity for gaining important new insights into the network substrate involved in SOs, spindles, and their coupling.

      Comments on revisions:

      While the authors have sufficiently addressed some of my previous comments, I still have severe concerns regarding several key aspects of the methodology, which were even corroborated by the supplementary results presented in response to the last round of reviews. I have the following specific comments (numbers refer to comments raised in the previous review):

      Re 1: The revised introduction now cites a couple of papers but discusses them only very superficially, lumping together several studies with very different key results. This is stil not very informative for the reader and does not sufficiently acknowledge previously published work. Here are two examples to illustrate this:<br /> a. "These studies have generally reported that slow oscillations are associated with widespread cortical and subcortical BOLD changes, whereas spindles elicit activation in the thalamus, as well as in several cortical and paralimbic regions."  Several studies even showed e.g., a clear activation of the hippocampus and parahippocampal gyrus associated with spindles, not just the thalamus<br /> b. "Although these findings provide valuable insights into the BOLD correlates of sleep rhythms, they often do not employ sophisticated temporal modeling (Huang et al., 2024) [, ...]." - previous studies have used e.g., spindle event-related regressors with individual spindle amplitudes as parametric modulators, first and second order derivatives of the HRF function, as well as PPI connectivity analyses, which I would consider rather sophisticated temporal modelling.

      Re 4+9: The short overall recordings in some subjects on the one hand and the large number of spindles and SOs detected in N1 sleep stages are still highly concerning, in fact even more so, now that the actual numbers have been provided in the Supplementary Tables. Either the sleep staging or the detection of SO and spindle events must be incorrect. I understand that for specific EEG analysis and fMRI modelling purposes sometimes slightly different thresholds are used as compared to clinical sleep staging, but several parameters here are alarmingly off.<br /> a. Given that proper NREM sleep (N2+N3) is the relevant stage for the analyses conducted in this paper, some of the N2+N3 durations are very short (eg 7-8 min) while those subjects' results have the same impact on the group level analyses as those with >100 min of N2+N3. Either subjects with very little relevant data (not overall recording time but N2+N3 time) should be excluded or weighting subject data for the group analyses according to the amount od contributed data should be done.<br /> b. The authors argue that the SO and spindle detection algorithms are valid since widely used and that they were developed for N2+N3 stages, which is why they will also detect events in other stages: "While, because the detection methods for SO and spindle are based on percentiles, this method will always detect a certain number of events when used for other stages (N1 and REM) sleep data, but the differences between these events and those detected in stage N23 remain unclear." I do agree that with very liberal thresholds, also SO and spindle vents may be detected in other stages, but it shouldn't be that many. If the percentiles of amplitude thresholds were defined based on properly scored N2+N3 stages only, very few events should be detected (erroneously!) in N1, as the occurrence of K-complexes (isolated SOs) and spindles per definition makes it N2, and during REM sleep only very few spindles and SOS are allowed to occur, without scoring it NREM instead. For the first subject (just as example, but with similar numbers for the rest of the sample), reveals as many as 60 SOs and 31 spindles within 8 min of N1 sleep (Table S2) as well as 13 SOs and 7 spindles within 2 min of REM sleep (Table S4). These numbers are completely unrealistic and question the correctness of the sleep staging as well as the physiological relevance of the EEG graphoelements identified as SO and spindles. It also completely undermines the interpretability of the respective event regressors for the fMRI analyses.<br /> c. Likely, given the large numbers of coupled SO-spindle events and the apparently very low amplitude criteria for event identification, also the number of SO-spindle couplings is likely severely overestimated.

      Re 10: The rationale for using a lateralized frontal electrode (F3) for both SO (should have been at least bilateral or central) and spindle detection (should have been a centro-parietal electrode) is not convincing. Other EEG-fMRI spindle or SO papers have used a number of frontal (SO) or centro-parietal (spindles) electrodes averaged or even approaches including all EEG electrodes. Searching events with low thresholds at suboptimal recording sites does not dot this highly valuable dataset justice.

      Re 7: It is not clear to me why/how larger voxels would reduce susceptibility-related distortions and partial volume effects. Usually, the opposite is true. This should be elaborated.

    2. Reviewer #2 (Public review):

      In this study, Wang and colleagues aimed to explore brain-wide activation patterns associated with NREM sleep oscillations, including slow oscillations (SOs), spindles, and SO-spindle coupling events. Their findings reveal that SO-spindle events corresponded with increased activation in both the thalamus and hippocampus. Additionally, they observed that SO-spindle coupling was linked to heightened functional connectivity from the hippocampus to the thalamus, and from the thalamus to the medial prefrontal cortex-three key regions involved in memory consolidation and episodic memory processes.

      This study's findings are timely and highly relevant to the field. The authors' extensive data collection, involving 107 participants sleeping in an fMRI while undergoing simultaneous EEG recording, deserves special recognition. If shared, this unique dataset could lead to further valuable insights.

      Comments on revisions:

      The authors' efforts in revising the manuscript and addressing the reviewers' comments are certainly commendable. However, I remain concerned about potential issues in detecting sleep-related oscillations (SOs, spindles, and consequently coupled SO-spindle events), which may arise due to suboptimal parameter selection or inaccurate sleep staging, potentially impacting all subsequent analyses.

      A review of Supplementary Tables 1-4 reveals an unusually high number of detected SOs and spindles during sleep stage N1 and REM sleep. While the authors correctly note that a percentile-based detection approach will always identify a certain number of events across sleep stages, the particularly high counts in N1 and REM are concerning. To mitigate the limitations of this method, the authors could have performed event detection independently of sleep stages (i.e., across the entire dataset for each participant) and subsequently assigned the detected events to the corresponding sleep stages. If the event counts in N1 and REM remained disproportionately high, this would indicate a fundamental issue with the detection procedure.

    3. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Wang et al., recorded concurrent EEG-fMRI in 107 participants during nocturnal NREM sleep to investigate brain activity and connectivity related to slow oscillations (SO), sleep spindles, and in particular their co-occurrence. The authors found SO-spindle coupling to be correlated with increased thalamic and hippocampal activity, and with increased functional connectivity from the hippocampus to the thalamus and from the thalamus to the neocortex, especially the medial prefrontal cortex (mPFC). They concluded the brain-wide activation pattern to resemble episodic memory processing, but to be dissociated from task-related processing and suggest that the thalamus plays a crucial role in coordinating the hippocampal-cortical dialogue during sleep.

      The paper offers an impressively large and highly valuable dataset that provides the opportunity for gaining important new insights into the network substrate involved in SOs, spindles, and their coupling. However, the paper does unfortunately not exploit the full potential of this dataset with the analyses currently provided, and the interpretation of the results is often not backed up by the results presented. I have the following specific comments.

      Thank you for your thoughtful and constructive feedback. We greatly appreciate your recognition of the strengths of our dataset and findings Below, we address your specific comments and provide responses to each point you raised to ensure our methods and results are as transparent and comprehensible as possible. We hope these revisions address your comments and further strengthen our manuscript. Thank you again for the constructive feedback.

      (1) The introduction is lacking sufficient review of the already existing literature on EEG-fMRI during sleep and the BOLD-correlates of slow oscillations and spindles in particular (Laufs et al., 2007; Schabus et al., 2007; Horovitz et al., 2008; Laufs, 2008; Czisch et al., 2009; Picchioni et al., 2010; Spoormaker et al., 2010; Caporro et al., 2011; Bergmann et al., 2012; Hale et al., 2016; Fogel et al., 2017; Moehlman et al., 2018; Ilhan-Bayrakci et al., 2022). The few studies mentioned are not discussed in terms of the methods used or insights gained.

      We acknowledge the need for a more comprehensive review of prior EEG-fMRI studies investigating BOLD correlates of slow oscillations and spindles. However, these articles are not all related to sleep SO or spindle. Articles (Hale et al., 2016; Horovitz et al., 2008; Laufs, 2008; Laufs, Walker, & Lund, 2007; Spoormaker et al., 2010) mainly focus on methodology for EEG-fMRI, sleep stages, or brain networks, which are not the focus of our study. Thank you again for your attention to the comprehensiveness of our literature review, and we will expand the introduction to include a more detailed discussion of the existing literature, ensuring that the contributions of previous EEG-fMRI sleep studies are adequately acknowledged.  

      Introduction, Page 4 Lines 62-76

      “Investigating these sleep-related neural processes in humans is challenging because it requires tracking transient sleep rhythms while simultaneously assessing their widespread brain activation. Recent advances in simultaneous EEG-fMRI techniques provide a unique opportunity to explore these processes. EEG allows for precise event-based detection of neural signal, while fMRI provides insight into the broader spatial patterns of brain activation and functional connectivity (Horovitz et al., 2008; Huang et al., 2024; Laufs, 2008; Laufs, Walker, & Lund, 2007; Schabus et al., 2007; Spoormaker et al., 2010). Previous EEG-fMRI studies on sleep have focused on classifying sleep stages or examining the neural correlates of specific waves (Bergmann et al., 2012; Caporro et al., 2012; Czisch et al., 2009; Fogel et al., 2017; Hale et al., 2016; Ilhan-Bayrakcı et al., 2022; Moehlman et al., 2019; Picchioni et al., 2011). These studies have generally reported that slow oscillations are associated with widespread cortical and subcortical BOLD changes, whereas spindles elicit activation in the thalamus, as well as in several cortical and paralimbic regions. Although these findings provide valuable insights into the BOLD correlates of sleep rhythms, they often do not employ sophisticated temporal modeling (Huang et al., 2024), to capture the dynamic interactions between different oscillatory events, e.g., the coupling between SOs and spindles.”

      (2) The paper falls short in discussing the specific insights gained into the neurobiological substrate of the investigated slow oscillations, spindles, and their interactions. The validity of the inverse inference approach ("Open ended cognitive state decoding"), assuming certain cognitive functions to be related to these oscillations because of the brain regions/networks activated in temporal association with these events, is debatable at best. It is also unclear why eventually only episodic memory processing-like brain-wide activation is discussed further, despite the activity of 16 of 50 feature terms from the NeuroSynth v3 dataset were significant (episodic memory, declarative memory, working memory, task representation, language, learning, faces, visuospatial processing, category recognition, cognitive control, reading, cued attention, inhibition, and action).

      Thank you for pointing this out, particularly regarding the use of inverse inference approaches such as “open-ended cognitive state decoding.” Given the concerns about the indirectness of this approach, we decided to remove its related content and results from Figure 3 in the main text and include it in Supplementary Figure 7. We will refocus the main text on direct neurobiological insights gained from our EEG-fMRI analyses, particularly emphasizing the hippocampal-thalamocortical network dynamics underlying SO-spindle coupling, and we will acknowledge the exploratory nature of these findings and highlight their limitations.

      Discussion, Page 17-18 Lines 323-332

      “To explore functional relevance, we employed an open-ended cognitive state decoding approach using meta-analytic data (NeuroSynth: Yarkoni et al. (2011)). Although this method usefully generates hypotheses about potential cognitive processes, particularly in the absence of a pre- and post-sleep memory task, it is inherently indirect. Many cognitive terms showed significant associations (16 of 50), such as “episodic memory,” “declarative memory,” and “working memory.” We focused on episodic/declarative memory given the known link with hippocampal reactivation (Diekelmann & Born, 2010; Staresina et al., 2015; Staresina et al., 2023). Nonetheless, these inferences regarding memory reactivation should be interpreted cautiously without direct behavioral measures. Future research incorporating explicit tasks before and after sleep would more rigorously validate these potential functional claims.”

      (3) Hippocampal activation during SO-spindles is stated as a main hypothesis of the paper - for good reasons - however, other regions (e.g., several cortical as well as thalamic) would be equally expected given the known origin of both oscillations and the existing sleep-EEG-fMRI literature. However, this focus on the hippocampus contrasts with the focus on investigating the key role of the thalamus instead in the Results section.

      We appreciate your insight regarding the relative emphasis on hippocampal and thalamic activation in our study. We recognize that the manuscript may currently present an inconsistency between our initial hypothesis and the main focus of the results. To address this concern, we will ensure that our Introduction and Discussion section explicitly discusses both regions, highlighting the complementary roles of the hippocampus (memory processing and reactivation) and the thalamus (spindle generation and cortico-hippocampal coordination) in SO-spindle dynamics.

      Introduction, Page 5 Lines 87-103

      “To address this gap, our study investigates brain-wide activation and functional connectivity patterns associated with SO-spindle coupling, and employs a cognitive state decoding approach (Margulies et al., 2016; Yarkoni et al., 2011)—albeit indirectly—to infer potential cognitive functions. In the current study, we used simultaneous EEG-fMRI recordings during nocturnal naps (detailed sleep staging results are provided in the Methods and Table S1) in 107 participants. Although directly detecting hippocampal ripples using scalp EEG or fMRI is challenging, we expected that hippocampal activation in fMRI would coincide with SO-spindle coupling detected by EEG, given that SOs, spindles, and ripples frequently co-occur during NREM sleep. We also anticipated a critical role of the thalamus, particularly thalamic spindles, in coordinating hippocampal-cortical communication.

      We found significant coupling between SOs and spindles during NREM sleep (N2/3), with spindle peaks occurring slightly before the SO peak. This coupling was associated with increased activation in both the thalamus and hippocampus, with functional connectivity patterns suggesting thalamic coordination of hippocampal-cortical communication. These findings highlight the key role of the thalamus in coordinating hippocampal-cortical interactions during human sleep and provide new insights into the neural mechanisms underlying sleep-dependent brain communication. A deeper understanding of these mechanisms may contribute to future neuromodulation approaches aimed at enhancing sleep-dependent cognitive function and treating sleep-related disorders.”

      Discussion, Page 16-17 Lines 292-307

      “When modeling the timing of these sleep rhythms in the fMRI, we observed hippocampal activation selectively during SO-spindle events. This suggests the possibility of triple coupling (SOs–spindles–ripples), even though our scalp EEG was not sufficiently sensitive to detect hippocampal ripples—key markers of memory replay (Buzsáki, 2015). Recent iEEG evidence indicates that ripples often co-occur with both spindles (Ngo, Fell, & Staresina, 2020) and SOs (Staresina et al., 2015; Staresina et al., 2023). Therefore, the hippocampal involvement during SO-spindle events in our study may reflect memory replay from the hippocampus, propagated via thalamic spindles to distributed cortical regions.

      The thalamus, known to generate spindles (Halassa et al., 2011), plays a key role in producing and coordinating sleep rhythms (Coulon, Budde, & Pape, 2012; Crunelli et al., 2018), while the hippocampus is found essential for memory consolidation (Buzsáki, 2015; Diba & Buzsá ki, 2007; Singh, Norman, & Schapiro, 2022). The increased hippocampal and thalamic activity, along with strengthened connectivity between these regions and the mPFC during SO-spindle events, underscores a hippocampal-thalamic-neocortical information flow. This aligns with recent findings suggesting the thalamus orchestrates neocortical oscillations during sleep (Schreiner et al., 2022). The thalamus and hippocampus thus appear central to memory consolidation during sleep, guiding information transfer to the neocortex, e.g., mPFC.”

      (4) The study included an impressive number of 107 subjects. It is surprising though that only 31 subjects had to be excluded under these difficult recording conditions, especially since no adaptation night was performed. Since only subjects were excluded who slept less than 10 min (or had excessive head movements) there are likely several datasets included with comparably short durations and only a small number of SOs and spindles and even less combined SO-spindle events. A comprehensive table should be provided (supplement) including for each subject (included and excluded) the duration of included NREM sleep, number of SOs, spindles, and SO+spindle events. Also, some descriptive statistics (mean/SD/range) would be helpful.

      We appreciate your recognition of our sample size and the challenges associated with simultaneous EEG-fMRI sleep recordings. We acknowledge the importance of transparently reporting individual subject data, particularly regarding sleep duration and the number of detected SOs, spindles, and SO-spindle events. To address this, we will provide comprehensive tables in the supplementary materials, contains descriptive information about sleep-related characteristics (Table S1), as well as detailed information about sleep waves at each sleep stage for all 107 subjects(Table S2-S4), listing for each subject:(1)Different sleep stage duration; (2)Number of detected SOs; (3)Number of detected spindles; (4)Number of detected SO-spindle coupling events; (5)Density of detected SOs; (6)Density of detected spindles; (7)Density of detected SO-spindle coupling events.

      However, most of the excluded participants were unable to fall asleep or had too short a sleep duration, so they basically had no NREM sleep period, so it was impossible to count the NREM sleep duration, SO, spindle, and coupling numbers.

      Supplementary Materials, Page 42-54, Table S1-S4

      (5) Was the 20-channel head coil dedicated for EEG-fMRI measurements? How were the electrode cables guided through/out of the head coil? Usually, the 64-channel head coil is used for EEG-fMRI measurements in a Siemens PRISMA 3T scanner, which has a cable duct at the back that allows to guide the cables straight out of the head coil (to minimize MR-related artifacts). The choice for the 20-channel head coil should be motivated. Photos of the recording setup would also be helpful.

      Thank you for your comment regarding our choice of the 20-channel head coil for EEG-fMRI measurements. We acknowledge that the 64-channel head coil is commonly used in Siemens PRISMA 3T scanners; however, the 20-channel coil was selected due to specific practical and technical considerations in our study. In particular, the 20-channel head coil was compatible with our EEG system and ensured sufficient signal-to-noise ratio (SNR) for both EEG and fMRI acquisition. The EEG electrode cables were guided through the lateral and posterior openings of the head coil, secured with foam padding to reduce motion and minimize MR-related artifacts. Moreover, given the extended nature of nocturnal sleep recordings, the 20-channel coil allowed us to maintain participant comfort while still achieving high-quality simultaneous EEG-fMRI data.

      We have made this clearer in the revised manuscript. 

      Methods, Page 20 Lines 385-392

      “All MRI data were acquired using a 20-channel head coil on a research-dedicated 3-Tesla Siemens Magnetom Prisma MRI scanner. Earplugs and cushions were provided for noise protection and head motion restriction. We chose the 20-channel head coil because it was compatible with our EEG system and ensured sufficient signal-to-noise ratio (SNR) for both EEG and fMRI acquisition. The EEG electrode cables were guided through the lateral and posterior openings of the head coil, secured with foam padding to reduce motion and minimize MR-related artifacts. Moreover, given the extended nature of nocturnal sleep recordings, the 20-channel coil helped maintain participant comfort while still achieving high-quality simultaneous EEG-fMRI data.”

      (6) Was the EEG sampling synchronized to the MR scanner (gradient system) clock (the 10 MHz signal; not referring to the volume TTL triggers here)? This is a requirement for stable gradient artifact shape over time and thus accurate gradient noise removal.

      Thank you for raising this important point. We confirm that the EEG sampling was synchronized to the MR scanner’s 10 MHz gradient system clock, ensuring a stable gradient artifact shape over time and enabling accurate artifact removal. This synchronization was achieved using the standard clock synchronization interface of the EEG amplifier, minimizing timing jitter and drift. As a result, the gradient artifact waveform remained stable across volumes, allowing for more effective artifact correction during preprocessing. We appreciate your attention to this critical aspect of EEG-fMRI data acquisition.

      We have made this clearer in the revised manuscript. 

      Methods, Page 19-20 Lines 371-383

      “EEG was recorded simultaneously with fMRI data using an MR-compatible EEG amplifier system (BrainAmps MR-Plus, Brain Products, Germany), along with a specialized electrode cap. The recording was done using 64 channels in the international 10/20 system, with the reference channel positioned at FCz. In order to adhere to polysomnography (PSG) recording standards, six electrodes were removed from the EEG cap: one for electrocardiogram (ECG) recording, two for electrooculogram (EOG) recording, and three for electromyogram (EMG) recording. EEG data was recorded at a sample rate of 5000 Hz, the resistance of the reference and ground channels was kept below 10 kΩ, and the resistance of the other channels was kept below 20 kΩ. To synchronize the EEG and fMRI recordings, the BrainVision recording software (BrainProducts, Germany) was utilized to capture triggers from the MRI scanner. The EEG sampling was synchronized to the MR scanner’s 10 MHz gradient system clock, ensuring a stable gradient artifact shape over time and enabling accurate artifact removal. This was achieved via the standard clock synchronization interface of the EEG amplifier, minimizing timing jitter and drift.”

      (7) The TR is quite long and the voxel size is quite large in comparison to state-of-the-art EPI sequences. What was the rationale behind choosing a sequence with relatively low temporal and spatial resolution?

      We acknowledge that our chosen TR and voxel size are relatively long and large compared to state-of-the-art EPI sequences. This decision was made to optimize the signal-to-noise ratio (SNR) and reduce susceptibility-related distortions, which are particularly critical in EEG-fMRI sleep studies where head motion and physiological noise can be substantial. A longer TR allowed us to sample whole-brain activity with sufficient coverage, while a larger voxel size helped enhance BOLD sensitivity and minimize partial volume effects in deep brain structures such as the thalamus and hippocampus, which are key regions of interest in our study. We appreciate your concern and hope this clarification provides sufficient rationale for our sequence parameters.

      We have made this clearer in the revised manuscript. 

      Methods, Page 20-21 Lines 398-408

      “Then, the “sleep” session began after the participants were instructed to try and fall asleep. For the functional scans, whole-brain images were acquired using k-space and steady-state T2*-weighted gradient echo-planar imaging (EPI) sequence that is sensitive to the BOLD contrast. This measures local magnetic changes caused by changes in blood oxygenation that accompany neural activity (sequence specification: 33 slices in interleaved ascending order, TR = 2000 ms, TE = 30 ms, voxel size = 3.5 × 3.5 × 4.2 mm3, FA = 90°, matrix = 64 × 64, gap = 0.7 mm). A relatively long TR and larger voxel size were chosen to optimize SNR and reduce susceptibility-related distortions, which are critical in EEG-fMRI sleep studies where head motion and physiological noise can be substantial. The longer TR allowed whole-brain coverage with sufficient temporal resolution, while the larger voxel size helped enhance BOLD sensitivity and minimize partial volume effects in deep brain structures (e.g., the thalamus and hippocampus), which are key regions of interest in this study.”

      (8) The anatomically defined ROIs are quite large. It should be elaborated on how this might reduce sensitivity to sleep rhythm-specific activity within sub-regions, especially for the thalamus, which has distinct nuclei involved in sleep functions.

      We appreciate your insight regarding the use of anatomically defined ROIs and their potential limitations in detecting sleep rhythm-specific activity within sub-regions, particularly in the thalamus. Given the distinct functional roles of thalamic nuclei in sleep processes, we acknowledge that using a single, large thalamic ROI may reduce sensitivity to localized activity patterns. To address this, we will discuss this limitation in the revised manuscript, acknowledging that our approach prioritizes whole-structure effects but may not fully capture nucleus-specific contributions.

      Discussion, Page 18 Lines 333-341

      “Despite providing new insights, our study has several limitations. First, our scalp EEG did not directly capture hippocampal ripples, preventing us from conclusively demonstrating triple coupling. Second, the combination of EEG-fMRI and the lack of a memory task limit our ability to parse fine-grained BOLD responses at the DOWN- vs. UP-states of SOs and link observed activations to behavioral outcomes. Third, the use of large anatomical ROIs may mask subregional contributions of specific thalamic nuclei or hippocampal subfields. Finally, without a memory task, we cannot establish a direct behavioral link between sleep-rhythm-locked activation and memory consolidation. Future studies combining techniques such as ultra-high-field fMRI or iEEG with cognitive tasks may refine our understanding of subregional network dynamics and functional significance during sleep.”

      (9) The study reports SO & spindle amplitudes & densities, as well as SO+spindle coupling, to be larger during N2/3 sleep compared to N1 and REM sleep, which is trivial but can be seen as a sanity check of the data. However, the amount of SOs and spindles reported for N1 and REM sleep is concerning, as per definition there should be hardly any (if SOs or spindles occur in N1 it becomes by definition N2, and the interval between spindles has to be considerably large in REM to still be scored as such). Thus, on the one hand, the report of these comparisons takes too much space in the main manuscript as it is trivial, but on the other hand, it raises concerns about the validity of the scoring.

      We appreciate your concern regarding the reported presence of SOs and spindles in N1 and REM sleep and the potential implications. Our detection method for detecting SO, spindle, and coupling were originally designed only for N2&N3 sleep data based on the characteristics of the data itself, and this method is widely recognized and used in the sleep research (Hahn et al., 2020; Helfrich et al., 2019; Helfrich et al., 2018; Ngo, Fell, & Staresina, 2020; Schreiner et al., 2022; Schreiner et al., 2021; Staresina et al., 2015; Staresina et al., 2023). While, because the detection methods for SO and spindle are based on percentiles, this method will always detect a certain number of events when used for other stages (N1 and REM) sleep data, but the differences between these events and those detected in stage N23 remain unclear. We will acknowledge the reasons for these results in the Methods section and emphasize that they are used only for sanity checks.

      Methods, Page 25 Lines 515-524

      “We note that the above methods for detecting SOs, spindles, and their couplings were originally developed for N2 and N3 sleep data, based on the specific characteristics of these stages. These methods are widely recognized in sleep research (Hahn et al., 2020; Helfrich et al., 2019; Helfrich et al., 2018; Ngo, Fell, & Staresina, 2020; Schreiner et al., 2022; Schreiner et al., 2021; Staresina et al., 2015; Staresina et al., 2023). However, because this percentile-based detection approach will inherently identify a certain number of events if applied to other stages (e.g., N1 and REM), the nature of these events in those stages remains unclear compared to N2/N3. We nevertheless identified and reported the detailed descriptive statistics of these sleep rhythms in all sleep stages, under the same operational definitions, both for completeness and as a sanity check. Within the same subject, there should be more SOs, spindles, and their couplings in N2/N3 than in N1 or REM (see also Figure S2-S4, Table S1-S4).”

      (10) Why was electrode F3 used to quantify the occurrence of SOs and spindles? Why not a midline frontal electrode like Fz (or a number of frontal electrodes for SOs) and Cz (or a number of centroparietal electrodes) for spindles to be closer to their maximum topography?

      We appreciate your suggestion regarding electrode selection for SO and spindle quantification. Our choice of F3 was primarily based on previous studies (Massimini et al., 2004; Molle et al., 2011), where bilateral frontal electrodes are commonly used for detecting SOs and spindles. Additionally, we considered the impact of MRI-related noise and, after a comprehensive evaluation, determined that F3 provided an optimal balance between signal quality and artifact minimization. We also acknowledge that alternative electrode choices, such as Fz for SOs and Cz for spindles, could provide additional insights into their topographical distributions.

      (11) Functional connectivity (hippocampus -> thalamus -> cortex (mPFC)) is reported to be increased during SO-spindle coupling and interpreted as evidence for coordination of hippocampo-neocortical communication likely by thalamic spindles. However, functional connectivity was only analysed during coupled SO+spindle events, not during isolated SOs or isolated spindles. Without the direct comparison of the connectivity patterns between these three events, it remains unclear whether this is specific for coupled SO+spindle events or rather associated with one or both of the other isolated events. The PPIs need to be conducted for those isolated events as well and compared statistically to the coupled events.

      We appreciate your critical perspective on our functional connectivity analysis and the interpretation of hippocampus-thalamus-cortex (mPFC) interactions during SO-spindle coupling. We acknowledge that, in the current analysis, functional connectivity was only examined during coupled SO-spindle events, without direct comparison to isolated SOs or isolated spindles. To address this concern, we have conducted PPI analyses for all three ROIs(Hippocampus, Thalamus, mPFC) and all three event types (SO-spindle couplings, isolated SOs, and isolated spindles). Our results indicate that neither isolated SOs nor isolated Spindles yielded significant connectivity changes in all three ROIs, as all failed to survive multiple comparison corrections. This suggests that the observed connectivity increase is specific to SO-spindle coupling, rather than being independently driven by either SOs or spindles alone.

      Results, Page 14 Lines 248-255

      “Crucially, the interaction between FC and SO-spindle coupling revealed that only the functional connectivity of hippocampus -> thalamus (ROI analysis, t(106) = 1.86, p = 0.0328) and thalamus -> mPFC (ROI analysis, t(106) = 1.98, p = 0.0251) significantly increased during SO-spindle coupling, with no significant changes in all other pathways (Fig. 4e). We also conducted PPI analyses for the other two events (SOs and spindles), and neither yielded significant connectivity changes in the three ROIs, as all failed to survive whole-brain FWE correction at the cluster level (p < 0.05). Together, these findings suggest that the thalamus, likely via spindles, coordinates hippocampal-cortical communication selectively during SO-spindle coupling, but not isolated SOs or spindle events alone.”

      (12) The limited temporal resolution of fMRI does indeed not allow for easily distinguishing between fMRI activation patterns related to SO-up- vs. SO-down-states. For this, one could try to extract the amplitudes of SO-up- and SO-down-states separately for each SO event and model them as two separate parametric modulators (with the risk of collinearity as they are likely correlated).

      We appreciate your insightful comment regarding the challenge of distinguishing fMRI activation patterns related to SO-up vs. SO-down states due to the limited temporal resolution of fMRI. While our current analysis does not differentiate between these two phases, we acknowledge that separately modeling SO-up and SO-down states using parametric modulators could provide a more refined understanding of their distinct neural correlates. However, as you notes, this approach carries the risk of collinearity, and there is indeed a high correlation between the two amplitudes across all subjects in our results (r=0.98). Future studies could explore more on leveraging high-temporal-resolution techniques. While implementing this in the current study is beyond our scope, we will acknowledge this limitation in the Discussion section.

      Discussion, Page 17 Lines 308-322

      “An intriguing aspect of our findings is the reduced DMN activity during SOs when modeled at the SO trough (DOWN-state). This reduced DMN activity may reflect large-scale neural inhibition characteristic of the SO trough. The DMN is typically active during internally oriented cognition (e.g., self-referential processing or mind-wandering) and is suppressed during external stimuli processing (Yeshurun, Nguyen, & Hasson, 2021). It is unlikely, however, that this suppression of DMN during SO events is related to a shift from internal cognition to external responses given it is during deep sleep time. Instead, it could be driven by the inherent rhythmic pattern of SOs, which makes it difficult to separate UP- from DOWN-states (the two temporal regressors were highly correlated, and similar brain activation during SOs events was obtained if modelled at the SO peak instead, Fig. S5). Since the amplitude at the SO trough is consistently larger than that at the SO peak, the neural activation we detected may primarily capture the large-scale inhibition from DOWN-state. Interestingly, no such DMN reduction was found during SO-spindle coupling, implying that coupling may involve distinct neural dynamics that partially re-engage DMN-related processes, possibly reflecting memory-related reactivation. Future research using high-temporal-resolution techniques like iEEG could clarify these possibilities.”

      Discussion, Page 18 Lines 333-341

      “Despite providing new insights, our study has several limitations. First, our scalp EEG did not directly capture hippocampal ripples, preventing us from conclusively demonstrating triple coupling. Second, the combination of EEG-fMRI and the lack of a memory task limit our ability to parse fine-grained BOLD responses at the DOWN- vs. UP-states of SOs and link observed activations to behavioral outcomes. Third, the use of large anatomical ROIs may mask subregional contributions of specific thalamic nuclei or hippocampal subfields. Finally, without a memory task, we cannot establish a direct behavioral link between sleep-rhythm-locked activation and memory consolidation. Future studies combining techniques such as ultra-high-field fMRI or iEEG with cognitive tasks may refine our understanding of subregional network dynamics and functional significance during sleep.”

      (13) L327: "It is likely that our findings of diminished DMN activity reflect brain activity during the SO DOWN-state, as this state consistently shows higher amplitude compared to the UP-state within subjects, which is why we modelled the SO trough as its onset in the fMRI analysis." This conclusion is not justified as the fact that SO down-states are larger in amplitude does not mean their impact on the BOLD response is larger.

      We appreciate your concern regarding our interpretation of diminished DMN activity reflecting the SO down-state. We acknowledge that the current expression is somewhat misleading, and our interpretation of it is: it could be driven by the inherent rhythmic pattern of SOs, which makes it difficult to separate UP- from DOWN-states (the two temporal regressors were highly correlated, and similar brain activation during SOs events was obtained if modelled at the SO peak instead). Since the amplitude at the SO trough is consistently larger than that at the SO peak, the neural activation we detected may primarily capture the large-scale inhibition from DOWN-state. And we will make this clear in the Discussion section.

      Discussion, Page 17 Lines 308-322

      “An intriguing aspect of our findings is the reduced DMN activity during SOs when modeled at the SO trough (DOWN-state). This reduced DMN activity may reflect large-scale neural inhibition characteristic of the SO trough. The DMN is typically active during internally oriented cognition (e.g., self-referential processing or mind-wandering) and is suppressed during external stimuli processing (Yeshurun, Nguyen, & Hasson, 2021). It is unlikely, however, that this suppression of DMN during SO events is related to a shift from internal cognition to external responses given it is during deep sleep time. Instead, it could be driven by the inherent rhythmic pattern of SOs, which makes it difficult to separate UP- from DOWN-states (the two temporal regressors were highly correlated, and similar brain activation during SOs events was obtained if modelled at the SO peak instead, Fig. S5). Since the amplitude at the SO trough is consistently larger than that at the SO peak, the neural activation we detected may primarily capture the large-scale inhibition from DOWN-state. Interestingly, no such DMN reduction was found during SO-spindle coupling, implying that coupling may involve distinct neural dynamics that partially re-engage DMN-related processes, possibly reflecting memory-related reactivation. Future research using high-temporal-resolution techniques like iEEG could clarify these possibilities.”

      (14) Line 77: "In the current study, while directly capturing hippocampal ripples with scalp EEG or fMRI is difficult, we expect to observe hippocampal activation in fMRI whenever SOs-spindles coupling is detected by EEG, if SOs- spindles-ripples triple coupling occurs during human NREM sleep". Not all SO-spindle events are associated with ripples (Staresina et al., 2015), but hippocampal activation may also be expected based on the occurrence of spindles alone (Bergmann et al., 2012).

      We appreciate your clarification regarding the relationship between SO-spindle coupling and hippocampal ripples. We acknowledge that not all SO-spindle events are necessarily accompanied by ripples (Staresina et al., 2015). However, based on previous research, we found that hippocampal ripples are significantly more likely to occur during SO-spindle coupling events. This suggests that while ripple occurrence is not guaranteed, SO-spindle coupling creates a favorable network state for ripple generation and potential hippocampal activation. To ensure accuracy, we will revise the manuscript to delete this misleading sentence in the Introduction section and acknowledge in the Discussion that our results cannot conclusively directly observe the triple coupling of SO, spindle, and hippocampal ripples.

      Discussion, Page 18 Lines 333-341

      “Despite providing new insights, our study has several limitations. First, our scalp EEG did not directly capture hippocampal ripples, preventing us from conclusively demonstrating triple coupling. Second, the combination of EEG-fMRI and the lack of a memory task limit our ability to parse fine-grained BOLD responses at the DOWN- vs. UP-states of SOs and link observed activations to behavioral outcomes. Third, the use of large anatomical ROIs may mask subregional contributions of specific thalamic nuclei or hippocampal subfields. Finally, without a memory task, we cannot establish a direct behavioral link between sleep-rhythm-locked activation and memory consolidation. Future studies combining techniques such as ultra-high-field fMRI or iEEG with cognitive tasks may refine our understanding of subregional network dynamics and functional significance during sleep.”

      Reviewer #2 (Public review):

      In this study, Wang and colleagues aimed to explore brain-wide activation patterns associated with NREM sleep oscillations, including slow oscillations (SOs), spindles, and SO-spindle coupling events. Their findings reveal that SO-spindle events corresponded with increased activation in both the thalamus and hippocampus. Additionally, they observed that SO-spindle coupling was linked to heightened functional connectivity from the hippocampus to the thalamus, and from the thalamus to the medial prefrontal cortex-three key regions involved in memory consolidation and episodic memory processes.

      This study's findings are timely and highly relevant to the field. The authors' extensive data collection, involving 107 participants sleeping in an fMRI while undergoing simultaneous EEG recording, deserves special recognition. If shared, this unique dataset could lead to further valuable insights. While the conclusions of the data seem overall well supported by the data, some aspects with regard to the detection of sleep oscillations need clarification.

      The authors report that coupled SO-spindle events were most frequent during NREM sleep (2.46 [plus minus] 0.06 events/min), but they also observed a surprisingly high occurrence of these events during N1 and REM sleep (2.23 [plus minus] 0.09 and 2.32 [plus minus] 0.09 events/min, respectively), where SO-spindle coupling would not typically be expected. Combined with the relatively modest SO amplitudes reported (~25 µV, whereas >75 µV would be expected when using mastoids as reference electrodes), this raises the possibility that the parameters used for event detection may not have been conservative enough - or that sleep staging was inaccurately performed. This issue could present a significant challenge, as the fMRI findings are largely dependent on the reliability of these detected events.

      Thank you very much for your thorough and encouraging review. We appreciate your recognition of the significance and relevance of our study and dataset, particularly in highlighting how simultaneous EEG-fMRI recordings can provide complementary insights into the temporal dynamics of neural oscillations and their associated spatial activation patterns during sleep. In the sections that follow, we address each of your comments in detail. We have revised the text and conducted additional analyses wherever possible to strengthen our argument, clarify our methodological choices. We believe these revisions improve the clarity and rigor of our work, and we thank you for helping us refine it.

      We appreciate your insightful comments regarding the detection of sleep oscillations. Our methods for detecting SOs, spindles, and their couplings were originally developed for N2 and N3 sleep data, based on the specific characteristics of these stages. These methods are widely recognized in sleep research (Hahn et al., 2020; Helfrich et al., 2019; Helfrich et al., 2018; Ngo, Fell, & Staresina, 2020; Schreiner et al., 2022; Schreiner et al., 2021; Staresina et al., 2015; Staresina et al., 2023). However, because this percentile-based detection approach will inherently identify a certain number of events if applied to other stages (e.g., N1 and REM), the nature of these events in those stages remains unclear compared to N2/N3. We nevertheless identified and reported the detailed descriptive statistics of these sleep rhythms in all sleep stages, under the same operational definitions, both for completeness and as a sanity check. Within the same subject, there should be more SOs, spindles, and their couplings in N2/N3 than in N1 or REM. We will acknowledge the reasons for these results in the Methods section and emphasize that they are used only for sanity checks.

      Regarding the reported SO amplitudes (~25 µV), during preprocessing, we applied the Signal Space Projection (SSP) method to more effectively remove MRI gradient artifacts and cardiac pulse noise. While this approach enhances data quality, it also reduces overall signal power, leading to systematically lower reported amplitudes. Despite this, our SO detection in NREM sleep (especially N2/N3) remain physiologically meaningful and are consistent with previous fMRI studies using similar artifact removal techniques. We appreciate your careful evaluation and valuable suggestions.

      In addition, we will provide comprehensive tables in the supplementary materials, contains descriptive information about sleep-related characteristics (Table S1), as well as detailed information about sleep waves at each sleep stage for all 107 subjects(Table S2-S4), listing for each subject:(1)Different sleep stage duration; (2)Number of detected SOs; (3)Number of detected spindles; (4)Number of detected SO-spindle coupling events; (2)Density of detected SOs; (3)Density of detected spindles; (4)Density of detected SO-spindle coupling events.

      Methods, Page 25 Lines 515-524

      “We note that the above methods for detecting SOs, spindles, and their couplings were originally developed for N2 and N3 sleep data, based on the specific characteristics of these stages. These methods are widely recognized in sleep research (Hahn et al., 2020; Helfrich et al., 2019; Helfrich et al., 2018; Ngo, Fell, & Staresina, 2020; Schreiner et al., 2022; Schreiner et al., 2021; Staresina et al., 2015; Staresina et al., 2023). However, because this percentile-based detection approach will inherently identify a certain number of events if applied to other stages (e.g., N1 and REM), the nature of these events in those stages remains unclear compared to N2/N3. We nevertheless identified and reported the detailed descriptive statistics of these sleep rhythms in all sleep stages, under the same operational definitions, both for completeness and as a sanity check. Within the same subject, there should be more SOs, spindles, and their couplings in N2/N3 than in N1 or REM (see also Figure S2-S4, Table S1-S4).”

      Supplementary Materials, Page 42-54, Table S1-S4

      Reviewer #3 (Public review):

      Summary:

      Wang et al., examined the brain activity patterns during sleep, especially when locked to those canonical sleep rhythms such as SO, spindle, and their coupling. Analyzing data from a large sample, the authors found significant coupling between spindles and SOs, particularly during the upstate of the SO. Moreover, the authors examined the patterns of whole-brain activity locked to these sleep rhythms. To understand the functional significance of these brain activities, the authors further conducted open-ended cognitive state decoding and found a variety of cognitive processing may be involved during SO-spindle coupling and during other sleep events. The authors next investigated the functional connectivity analyses and found enhanced connectivity between the hippocampus, the thalamus, and the medial PFC. These results reinforced the theoretical model of sleep-dependent memory consolidation, such that SO-spindle coupling is conducive to systems-level memory reactivation and consolidation.

      Strengths:

      There are obvious strengths in this work, including the large sample size, state-of-the-art neuroimaging and neural oscillation analyses, and the richness of results.

      Weaknesses:

      Despite these strengths and the insights gained, there are weaknesses in the design, the analyses, and inferences.

      Thank you for your detailed and thoughtful review of our manuscript. We are delighted that you recognize our advanced analysis methods and rich results of neuroimaging and neural oscillations as well as the large sample size data. In the following sections, we provide detailed responses to each of your comments. And we have revised the text and conducted additional analyses to strengthen our arguments and clarify our methodological choices. We believe these revisions enhance the clarity and rigor of our work, and we sincerely appreciate your thoughtful feedback in helping us refine the manuscript.

      (1) A repeating statement in the manuscript is that brain activity could indicate memory reactivation and thus consolidation. This is indeed a highly relevant question that could be informed by the current data/results. However, an inherent weakness of the design is that there is no memory task before and after sleep. Thus, it is difficult (if not impossible) to make a strong argument linking SO/spindle/coupling-locked brain activity with memory reactivation or consolidation.

      We appreciate your suggestion regarding the lack of a pre- and post-sleep memory task in our study design. We acknowledge that, in the absence of behavioral measures, it is hard to directly link SO-spindle coupling to memory consolidation in an outcome-driven manner. Our interpretation is instead based on the well-established role of these oscillations in memory processes, as demonstrated in previous studies. We sincerely appreciate this feedback and will adjust our Discussion accordingly to reflect a more precise interpretation of our findings.

      Discussion, Page 18 Lines 333-341

      “Despite providing new insights, our study has several limitations. First, our scalp EEG did not directly capture hippocampal ripples, preventing us from conclusively demonstrating triple coupling. Second, the combination of EEG-fMRI and the lack of a memory task limit our ability to parse fine-grained BOLD responses at the DOWN- vs. UP-states of SOs and link observed activations to behavioral outcomes. Third, the use of large anatomical ROIs may mask subregional contributions of specific thalamic nuclei or hippocampal subfields. Finally, without a memory task, we cannot establish a direct behavioral link between sleep-rhythm-locked activation and memory consolidation. Future studies combining techniques such as ultra-high-field fMRI or iEEG with cognitive tasks may refine our understanding of subregional network dynamics and functional significance during sleep.”

      (2) Relatedly, to understand the functional implications of the sleep rhythm-locked brain activity, the authors employed the "open-ended cognitive state decoding" method. While this method is interesting, it is rather indirect given that there were no behavioral indices in the manuscript. Thus, discussions based on these analyses are speculative at best. Please either tone down the language or find additional evidence to support these claims.

      Moreover, the results from this method are difficult to understand. Figure 3e showed that for all three types of sleep events (SO, spindle, SO-spindle), the same mental states (e.g., working memory, episodic memory, declarative memory) showed opposite directions of activation (left and right panels showed negative and positive activation, respectively). How to interpret these conflicting results? This ambiguity is also reflected by the term used: declarative memory and episodic memories are both indexed in the results. Yet these two processes can be largely overlapped. So which specific memory processes do these brain activity patterns reflect? The Discussion shall discuss these results and the limitations of this method.

      We appreciate your critical assessment of the open-ended cognitive state decoding method and its interpretational challenges. Given the concerns about the indirectness of this approach, we decided to remove its related content and results from Figure 3 in the main text and include it in Supplementary Figure 7. 

      Due to the complexity of memory-related processes, we acknowledge that distinguishing between episodic and declarative memory based solely on this approach is not straightforward. We will revise the Supplementary Materials to explicitly discuss these limitations and clarify that our findings do not isolate specific cognitive processes but rather suggest general associations with memory-related networks.

      Discussion, Page 17-18 Lines 323-332

      “To explore functional relevance, we employed an open-ended cognitive state decoding approach using meta-analytic data (NeuroSynth: Yarkoni et al. (2011)). Although this method usefully generates hypotheses about potential cognitive processes, particularly in the absence of a pre- and post-sleep memory task, it is inherently indirect. Many cognitive terms showed significant associations (16 of 50), such as “episodic memory,” “declarative memory,” and “working memory.” We focused on episodic/declarative memory given the known link with hippocampal reactivation (Diekelmann & Born, 2010; Staresina et al., 2015; Staresina et al., 2023). Nonetheless, these inferences regarding memory reactivation should be interpreted cautiously without direct behavioral measures. Future research incorporating explicit tasks before and after sleep would more rigorously validate these potenial functional claims.”

      (3) The coupling strength is somehow inconsistent with prior results (Hahn et al., 2020, eLife, Helfrich et al., 2018, Neuron). Specifically, Helfrich et al. showed that among young adults, the spindle is coupled to the peak of the SO. Here, the authors reported that the spindles were coupled to down-to-up transitions of SO and before the SO peak. It is possible that participants' age may influence the coupling (see Helfrich et al., 2018). Please discuss the findings in the context of previous research on SO-spindle coupling.

      We appreciate your concern regarding the temporal characteristics of SO-spindle coupling. We acknowledge that the SO-spindle coupling phase results in our study are not identical to those reported by Hahn et al. (2020); Helfrich et al. (2018). However, these differences may arise due to slight variations in event detection parameters, which can influence the precise phase estimation of coupling. Notably, Hahn et al. (2020) also reported slight discrepancies in their group-level coupling phase results, highlighting that methodological differences can contribute to variability across studies. Furthermore, our findings are consistent with those of Schreiner et al. (2021), further supporting the robustness of our observations.  

      That said, we acknowledge that our original description of SO-spindle coupling as occurring at the "transition from the lower state to the upper state" was not entirely precise. The -π/2 phase represents the true transition point, while our observed coupling phase is actually closer to the SO peak rather than strictly at the transition. We will revise this statement in the manuscript to ensure clarity and accuracy in describing the coupling phase.  

      Discussion, Page 16 Lines 283-291

      “Our data provide insights into the neurobiological underpinnings of these sleep rhythms. SOs, originating mainly in neocortical areas such as the mPFC, alternate between DOWN- and UP-states. The thalamus generates sleep spindles, which in turn couple with SOs. Our finding that spindle peaks consistently occurred slightly before the UP-state peak of SOs (in 83 out of 107 participants), concurs with prior studies, including Schreiner et al. (2021). Yet it differs from some results suggesting spindles might peak right at the SO UP-state (Hahn et al., 2020; Helfrich et al., 2018). Such discrepancies could arise from differences in detection algorithms, participant age (Helfrich et al., 2018), or subtle variations in cortical-thalamic timing. Nonetheless, these results underscore the importance of coordinated SO-spindle interplay in supporting sleep-dependent processes.”

      (4) The discussion is rather superficial with only two pages, without delving into many important arguments regarding the possible functional significance of these results. For example, the author wrote, "This internal processing contrasts with the brain patterns associated with external tasks, such as working memory." Without any references to working memory, and without delineating why WM is considered as an external task even working memory operations can be internal. Similarly, for the interesting results on SO and reduced DMN activity, the authors wrote "The DMN is typically active during wakeful rest and is associated with self-referential processes like mind-wandering, daydreaming, and task representation (Yeshurun, Nguyen, & Hasson, 2021). Its reduced activity during SOs may signal a shift towards endogenous processes such as memory consolidation." This argument is flawed. DMN is active during self-referential processing and mind-wandering, i.e., when the brain shifts from external stimuli processing to internal mental processing. During sleep, endogenous memory reactivation and consolidation are also part of the internal mental processing given the lack of external environmental stimulation. So why during SO or during memory consolidation, the DMN activity would be reduced? Were there differences in DMN activity between SO and SO-spindle coupling events?

      We appreciate your concerns regarding the brevity of the discussion and the need for clearer theoretical arguments. We will expand this section to provide more in-depth interpretations of our findings in the context of prior literature. Regarding working memory (WM), we acknowledge that our phrasing was ambiguous. We will modify this statement in the Discussion section.

      For the SO-related reduction in DMN activity, we recognize the need for a more precise explanation. This reduced DMN activity may reflect large-scale neural inhibition characteristic of the SO trough. The DMN is typically active during internally oriented cognition (e.g., self-referential processing or mind-wandering) and is suppressed during external stimuli processing (Yeshurun, Nguyen, & Hasson, 2021). It is unlikely, however, that this suppression of DMN during SO events is related to a shift from internal cognition to external responses given it is during deep sleep time. Instead, it could be driven by the inherent rhythmic pattern of SOs, which makes it difficult to separate UP- from DOWN-states (the two temporal regressors were highly correlated, and similar brain activation during SOs events was obtained if modelled at the SO peak instead). Since the amplitude at the SO trough is consistently larger than that at the SO peak, the neural activation we detected may primarily capture the large-scale inhibition from DOWN-state.

      To address your final question, we have conducted the additional post hoc comparison of DMN activity between isolated SOs and SO-spindle coupling events. Our results indicate that

      DMN activation during SOs was significantly lower than during SO-spindle coupling (t(106) = -4.17, p < 1e-4). This suggests that SO-spindle coupling may involve distinct neural dynamics that partially re-engage DMN-related processes, possibly reflecting memory-related reactivation. We appreciate your constructive feedback and will integrate these expanded analyses and discussions into our revised manuscript.

      Results, Page 11 Lines 199-208

      “Spindles were correlated with positive activation in the thalamus (ROI analysis, t(106) = 15.39, p < 1e-4), the anterior cingulate cortex (ACC), and the putamen, alongside deactivation in the DMN (Fig. 3c). Notably, SO-spindle coupling was linked to significant activation in both the thalamus (ROI analysis, t(106) \= 3.38, p = 0.0005) and the hippocampus (ROI analysis, t(106) \= 2.50, p = 0.0070, Fig. 3d). However, no decrease in DMN activity was found during SO-spindle coupling, and DMN activity during SO was significantly lower than during coupling (ROI analysis, t(106) \= -4.17, p < 1e-4). For more detailed activation patterns, see Table S5-S7. We also varied the threshold used to detect SO events to assess its effect on hippocampal activation during SO-spindle coupling and observed that hippocampal activation remained significant when the percentile thresholds for SO detection ranged between 71% and 80% (see Fig. S6).”

      Discussion, Page 17-18 Lines 308-332

      “An intriguing aspect of our findings is the reduced DMN activity during SOs when modeled at the SO trough (DOWN-state). This reduced DMN activity may reflect large-scale neural inhibition characteristic of the SO trough. The DMN is typically active during internally oriented cognition (e.g., self-referential processing or mind-wandering) and is suppressed during external stimuli processing (Yeshurun, Nguyen, & Hasson, 2021). It is unlikely, however, that this suppression of DMN during SO events is related to a shift from internal cognition to external responses given it is during deep sleep time. Instead, it could be driven by the inherent rhythmic pattern of SOs, which makes it difficult to separate UP- from DOWN-states (the two temporal regressors were highly correlated, and similar brain activation during SOs events was obtained if modelled at the SO peak instead, Fig. S5). Since the amplitude at the SO trough is consistently larger than that at the SO peak, the neural activation we detected may primarily capture the large-scale inhibition from DOWN-state. Interestingly, no such DMN reduction was found during SO-spindle coupling, implying that coupling may involve distinct neural dynamics that partially re-engage DMN-related processes, possibly reflecting memory-related reactivation. Future research using high-temporal-resolution techniques like iEEG could clarify these possibilities.

      To explore functional relevance, we employed an open-ended cognitive state decoding approach using meta-analytic data (NeuroSynth: Yarkoni et al. (2011)). Although this method usefully generates hypotheses about potential cognitive processes, particularly in the absence of a pre- and post-sleep memory task, it is inherently indirect. Many cognitive terms showed significant associations (16 of 50), such as “episodic memory,” “declarative memory,” and “working memory.” We focused on episodic/declarative memory given the known link with hippocampal reactivation (Diekelmann & Born, 2010; Staresina et al., 2015; Staresina et al., 2023). Nonetheless, these inferences regarding memory reactivation should be interpreted cautiously without direct behavioral measures. Future research incorporating explicit tasks before and after sleep would more rigorously validate these potential functional claims.”

      Recommendations for the authors:

      Reviewing Editor Comment:

      The reviewers think that you are working on a relevant and important topic. They are praising the large sample size used in the study. The reviewers are not all in line regarding the overall significance of the findings, but they all agree the paper would strongly benefit from some extra work, as all reviewers raise various critical points that need serious consideration.

      We appreciate your recognition of the relevance and importance of our study, as well as your acknowledgment of the large sample size as a strength of our work. We understand that there are differing perspectives regarding the overall significance of our findings, and we value the constructive critiques provided. We are committed to addressing the key concerns raised by all reviewers, including refining our analyses, clarifying our interpretations, and incorporating additional discussions to strengthen the manuscript. Below, we address your specific recommendations and provide responses to each point you raised to ensure our methods and results are as transparent and comprehensible as possible. We believe that these revisions will significantly enhance the rigor and impact of our study, and we sincerely appreciate your thoughtful feedback in helping us improve our work.

      Reviewer #1 (Recommendations for the authors):

      (1) The phrase "overnight sleep" suggests an entire night, while these were rather "nocturnal naps". Please rephrase.

      Response: Thank you for pointing this out. We have revised the phrasing in our manuscript to "nocturnal naps" instead of "overnight sleep" to more accurately reflect the duration of the sleep recordings.

      (2) Sleep staging results (macroscopic sleep architecture) should be provided in more detail (at least min and % of the different sleep stages, sleep onset latency, total sleep duration, total recording duration), at least mean/SD/range.

      Thank you for this suggestion. We will provide comprehensive tables in the supplementary materials, contains descriptive information about sleep-related characteristics. This information will help provide a clearer overview of the macroscopic sleep architecture in our dataset.

      Reviewer #2 (Recommendations for the authors):

      In order to allow for a better estimation of the reliability of the detected sleep events, please:

      (1) Provide densities and absolute numbers of all detected SOs and spindles (N1, NREM, and REM sleep).

      Thank you for pointing this out. We will provide comprehensive tables in the supplementary materials, contains detailed information about sleep waves at each sleep stage for all 107 subjects (Table S2-S4), listing for each subject:1) Different sleep stage duration; 2) Number of detected SOs; 3) Number of detected spindles; 4) Number of detected SO-spindle coupling events; 5) Density of detected SOs; 6) Density of detected spindles; 7) Density of detected SO-spindle coupling events.

      Supplementary Materials, Page 43-54, Table S2-S4

      (2) Show ERPs for all detected SOs and spindles (per sleep stage).

      Thank you for the suggestion. We will provide ERPs for all detected SOs and spindles, separated by sleep stage (N1, N2&N3, and REM) in supplementary Fig. S2-S4. These ERP waveforms will help illustrate the characteristic temporal profiles of SOs and spindles across different sleep stages.

      Methods, Page 25, Line 525-532

      “Event-related potentials (ERP) analysis. After completing the detection of each sleep rhythm event, we performed ERP analyses for SOs, spindles, and coupling events in different sleep stages. Specifically, for SO events, we took the trough of the DOWN-state of each SO as the zero-time point, then extracted data in a [-2 s to 2 s] window from the broadband (0.1–30 Hz) EEG and used [-2 s to -0.5 s] for baseline correction; the results were then averaged across 107 subjects (see Fig. S2a). For spindle events, we used the peak of each spindle as the zero-time point and applied the same data extraction window and baseline correction before averaging across 107 subjects (see Fig. S2b). Finally, for SO-spindle coupling events, we followed the same procedure used for SO events (see Fig. 2a, Figs. S3–S4).”

      (3) Provide detailed info concerning sleep characteristics (time spent in each sleep stage etc.).

      Thank you for this suggestion. Same as the response above, we will provide comprehensive tables in the supplementary materials, contains descriptive information about sleep-related characteristics.

      Supplementary Materials, Page 42, Table S1 (same as above)

      (4) What would happen if more stringent parameters were used for event detection? Would the authors still observe a significant number of SO spindles during N1 and REM? Would this affect the fMRI-related results?

      Thank you for this suggestion. Our methods for detecting SOs, spindles, and their couplings were originally developed for N2 and N3 sleep data, based on the specific characteristics of these stages. These methods are widely recognized in sleep research (Hahn et al., 2020; Helfrich et al., 2019; Helfrich et al., 2018; Ngo, Fell, & Staresina, 2020; Schreiner et al., 2022; Schreiner et al., 2021; Staresina et al., 2015; Staresina et al., 2023). However, because this percentile-based detection approach will inherently identify a certain number of events if applied to other stages (e.g., N1 and REM), the nature of these events in those stages remains unclear compared to N2/N3. We nevertheless identified and reported the detailed descriptive statistics of these sleep rhythms in all sleep stages, under the same operational definitions, both for completeness and as a sanity check. Within the same subject, there should be more SOs, spindles, and their couplings in N2/N3 than in N1 or REM (see also Figure S2-S4, Table S1-S4).

      Furthermore, in order to explore the impact of this on our fMRI results, we conducted an additional sensitivity analysis by applying different detection parameters for SOs. Specifically, we adjusted amplitude percentile thresholds for SO detection (the parameter that has the greatest impact on the results). We used the hippocampal activation value during N2&N3 stage SO-spindle coupling as an anchor value and found that when the parameters gradually became stricter, the results were similar to or even better than the current results. However, when we continued to increase the threshold, the results began to gradually decrease until the threshold was increased to 80%, and the results were no longer significant. This indicates that our results are robust within a specific range of parameters, but as the threshold increases, the number of trials decreases, ultimately weakening the statistical power of the fMRI analysis.

      Thank you again for your suggestions on sleep rhythm event detection. We will add the results in Supplementary and revise our manuscript accordingly.

      Results, Page 11, Line 199-208

      “Spindles were correlated with positive activation in the thalamus (ROI analysis, t(106) = 15.39, p < 1e-4), the anterior cingulate cortex (ACC), and the putamen, alongside deactivation in the DMN (Fig. 3c). Notably, SO-spindle coupling was linked to significant activation in both the thalamus (ROI analysis, t(106) \= 3.38, p = 0.0005) and the hippocampus (ROI analysis, t(106) \= 2.50, p = 0.0070, Fig. 3d). However, no decrease in DMN activity was found during SO-spindle coupling, and DMN activity during SO was significantly lower than during coupling (ROI analysis, t(106) \= -4.17, p < 1e-4). For more detailed activation patterns, see Table S5-S7. We also varied the threshold used to detect SO events to assess its effect on hippocampal activation during SO-spindle coupling and observed that hippocampal activation remained significant when the percentile thresholds for SO detection ranged between 71% and 80% (see Fig. S6).”

      Finally, we sincerely thank all again for your thoughtful and constructive feedback. Your insights have been invaluable in refining our analyses, strengthening our interpretations, and improving the clarity and rigor of our manuscript. We appreciate the time and effort you have dedicated to reviewing our work, and we are grateful for the opportunity to enhance our study based on your recommendations.  

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    1. Author response:

      The following is the authors’ response to the original reviews

      Main revision made to the manuscript

      The main revision made to the manuscript is to reconcile our findings with the line attractor model. The revision is based on Reviewer 1’s comment on reinterpreting our results as a superposition of an attractor model with fast timescale dynamics. We expanded our analysis regime to the start of a trial and characterized the overall within-trial dynamics to reinterpret our findings.

      We first acknolwedge that our results are not in contradiction with evidence integration on a line attractor. As pointed out by the reviewers, our finding that the integration of reward outcome explains the reversal probability activity x_rev (Figure 3) is compatible with the line attractor model. However, the reward integration equation is an algebraic relation and does not characterize the dynamics of reversal probability activity. So a closer analysis on the neural dynamics is needed to assess the feasibility of line attractor.

      In the revised manuscript, we show that x_rev exhibits two different activity modes (Figure 4). First, x_rev has substantial non-stationary dynamics during a trial, and this non-stationary activity is incompatible with the line attractor model, as claimed in the original manuscript. Second, we present new results showing that x_rev is stationary (i.e., constant in time) and stable (i.e., contracting) at the start of a trial. These two properties of x_rev support that it is a point attractor at the start of a trial and is compatible with the line attractor model. 

      We further analyze how the two activity modes are linked (Figure 4, Support vector regression). We show that the non-stationary activity is predictable from the stationary activity if the underlying dynamics can be inferred. In other words, the non-stationary activity during a trial is generated by an underlying dynamics with the initial condition provided by the stationary state at the start of trial.

      These results suggest an extension of the line attractor model where an attractor state at the start of a trial provides an initial condition from which non-stationary activity is generated during a trial by an underlying dynamics associated with task-related behavior (Figure 4, Augmented model). 

      The separability of non-stationary trajectories (Figure 5 and 6) is a property of the non-stationary dynamics that allows separable points in the initial stationary state to remain separable during a trial, thus making it possible to represent distinct probabilistic values in non-stationary activity.

      This revised interpretation of our results (1) retains our original claim that the non-stationary dynamics during a trial is incompatible with the line attractor model and (2) introduces attractor state at the start of a trial which is compatible with the line attractor model. Our anlaysis shows that the two activity modes are linked by an underlying dynamics, and the attractor state serves as initial state to launch the non-stationary activity.

      Responses to the Public Reviews:

      Reviewer # 1:

      (1) To provide better explanation of the reversal learning task and network training method, we added detailed description of RNN and monkey task structure (Result Section 1), included a schematic of target outputs (Figure1B), explained the rationale behind using inhibitory network model (Method Section 1) and explained the supervised RNN training scheme (Result Section 1). This information can also be found in the Methods.

      (2) Our understanding is that the augmented model discussed in the previous page is aligned with the model suggested by Reviewer 1: “a curved line attractor, with faster timescale dynamics superimposed on this structure”. It is likely that the “fast” non-stationary activity observed during the trial is driven by task-related behavior, thus is transient. For instance, we do not observe such non-stationary activity in the inter-trial-interval when the task-related behavior is absent. For this reason, the non-stationary trajectories were not considered to be part of the attractor. Instead, they are transient activity generated by the underlying neural dynamics associated with task-related behavior. We believe such characterization of faster timescale dynamics is consistent with Reviewer 1’s view and wanted to clarify that there are two different activity modes.

      (3) We appreciate the reviewers (Reviewer 1 and Reviewer 2) comment that TDR may be limited in isolating the neural subspace of interest. Our study presents what could be learned from TDR but is by no means the only way to interpret the neural data. It would be of future work to apply other methods for isolating task-related neural activities.

      We would appreciate it if the reviewers could share thoughts on what other alternative methods could better isolate the reversal probability activity.

      Reviewer # 2:

      (1) (i) We respectfully disagree with Reviewer 2’s comment that “no action is required to be performed by neurons in the RNN”. In our network setup, the output of RNN learns to choose a sign (+ or -), as Reviewer 2 pointed out, to make a choice. This is how the RNN takes an action. It is unclear to us what Reviewer 2 has intended by “action” and how reaching a target value (not just taking a sign) would make a significant difference in how the network performs the task. 

      (ii)  From Reviewer 2’s comment that “no intervening behavior is thus performed by neurons”, we noticed that the term “intervening behavior” has caused confusion. It refers to task-related behavior, such as making choices or receiving reward, that the subject must perform across trials before reversing its preferred choice. These are the behaviors that intervene the reversal of preferred choice. To clarify its meaning, in the revised manuscript, we changed the term to “task-related behavior” and put them in context. For example, in the Introduction we state that “However, during a trial, task-related behavior, such as making decisions or receiving feedback, produced …”

      (iii) As pointed out by Reviewer 2, the lack of fixation period in the RNN could make differences in the neural dynamics of RNN and PFC, especially at the start of a trial. We demonstrate this issue in Result Section 4 where we analyze the stationary activity at the start of a trial. We find that fixating the choice output to zero before making a choice promotes stationary activity and makes the RNN activity more similar to the PFC activity.

      Reviewer #3:

      (1) (i) In the previous study (Figure 1 in [Bartolo and Averbeck ‘20]), it was shown that neural activity can predict the behavioral reversal trial. This is the reason we examined the neural activity in the trials centered at the behavioral reversal trial. We explained in Result Section 2 that we followed this line of analysis in our study.

      (ii) We would like to emphasize that the main point of Figures 4 and 5 is to show the separability of neural trajectories: the entire trajectory shifts without overlapping. It is not obvious that high-dimensional neural population activity from two trials should remain separated when their activities are compressed into a one-dimensional subspace. The onedimensional activities can easily collide since their activities are compressed into a lowdimensional space. We revised the manuscript to bring out these points. We added an opening paragraph that discusses separability of trajectories and revised the main text to bring out the findings on separability. 

      (iii) We agree with Reviewer 3 that it would be interesting to look at what happens in other subspace of neural activity that are not related to reversal probability and characterize how different neural subspace interact with each. However, the focus of this paper was the reversal probability activity, and we’d consider these questions out of the scope of current paper. We point out that, using the same dataset, neural activity related to other experimental variables were analyzed in other papers [Bartolo and Averbeck ’20; Tang, Bartolo and Averbeck ‘21] 

      (2) (i) In the revised manuscript, we added explanation on the rational behind choosing inhibitory network as a simplified model for the balanced state. In brief, strong inhibitory recurrent connections with strong excitatory external input operates in the balanced state, as in the standard excitatory-inhibitory network. We included references that studied this inhibitory network. We also explained the technical reason (GPU memory) for choosing the inhibitory model.

      (ii) We thank the reviewer for pointing out that the original manuscript did not mention how the feedback and cue were initialized. They were random vectors sample from Gaussian distribution. We added this information in the revised manuscript. In our opinion, it is common to use random external inputs for training RNNs, as it is a priori unclear how to choose them. In fact, it is possible to analyze the effects of random feedback on one-dimensional x_rev dynamics by projecting the random feedback vector to the reversal probability vector. This is shown in Figure 4F.

      (iii) We agree that it would be more natural to train the RNN to solve the task without using the Bayesian model. We point out this issue in the Discussion in the revised manuscript.

      Recommendations for the authors:

      Reviewer #1:

      (1) My understanding of network training was that a Bayesian ideal observer signaled target output based on previous reward outcomes. However, the authors never mention that networks are trained by supervised learning in the main text until the last paragraph of the discussion. There is no mention that there was an offset in the target based on the behavior of the monkeys in the main text. These are really important things to consider in the context of the network solution after training. I couldn't actually find any figure that presents the target output for the network. Did I miss something key here?

      In Result Section 1, we added a paragraph that describes in detail how the RNN is trained. We explained that the network is first simulated and then the choice outputs and reward outcomes are fed into the Bayesian model to infer the scheduled reversal trial. A few trials are added to the inferred reversal trial to obtain the behavioral reversal trial, as found in a previous study [Bartolo and Averbeck ‘20]. Then the network weights are updated by backpropagation-through-time via supervised learning. 

      In the original manuscript, the target output for the network was described in Methods Section 2.5, Step 4. To make this information readily accessible, we added a schematic in Figure 1B that shows the scheduled, inferred and behavioral reversal trials. It also shows how the target choice ouputs are defined. They switch abruptly at the behavioral reversal trial.

      (2) The role of block structure in the task is an important consideration. What are the statistics of block switches? The authors say on average the reversals are every 36 trials, but also say there are random block switches. The reviewer's notes suggest that both the networks and monkeys may be learning about the typical duration of blocks, which could influence their expectations of reversals. This aspect of the task design should be explained more thoroughly and considered in the context of Figure 1E and 5 results.

      We provided more detailed description of the reversal learning task in Result Section 1. We clarified that (1) a task is completed by executing a block of fixed number of trials and (2) reversal of reward schedule occurrs at a random trial around the mid-trial in a block. The differences in the number of trials in a block that the RNNs (36) and the monkeys (80) perform are also explained. We also pointed out the differences in how the reversal trial is randomly sampled.

      However, it is unclear what Reviewer 1 meant by random block switches. Our reversal learning task is completed when a block of fixed number of trials is executed. Reversal of reward schedule occurs only once on a randomly selected trial in the block, and the reversed reward schedule is maintained until the end of a block. It is different from other versions of reveral learning where the reward schedule switches multiple times across trials. We clarified this point in Result Section 1.

      (3) The relationship between the supervised learning approach used in the RNNs and reinforcement learning was confused in the discussion. "Although RNNs in our study were trained via supervised learning, animals learn a reversal-learning task from reward feedback, making it into a reinforcement learning (RL) problem." This is fundamentally not true. In the case of this work, the outcome of the previous trial updates the target output, rather than the trial and error type learning as is typical in reinforcement learning. Networks are not learning by reinforcement learning and this statement is confusing.

      We agree with Reviewer 1’s comment that the statement in the original manuscript is confusing. Our intention was to point out that our study used supervised learning, and this is different from animals learn by reinforcement learning in rea life. We revised the sentence in Discussion as follows:

      “The RNNs in our study were trained via supervised learning. However, in real life, animals learn a reversal learning task via reinforcement learning (RL), i.e., learn the task from reward outcomes.”

      (4) The distinction between line attractors and the dynamic trajectories described by the authors deserves further investigation. A significant concern arises from the authors' use of targeted dimensionality reduction (TDR), a form of regression, to identify the axis determining reversal probability. While this approach can reveal interesting patterns in the data, it may not necessarily isolate the dimension along which the RNN computes reversal probability. This limitation could lead to misinterpretation of the underlying neural dynamics.

      a) This manuscript cites work described in "Prefrontal cortex as a meta-reinforcement learning system," which examined a similar task. In that study, the authors identified a v-shaped curve in the principal component space of network states, representing the probability of choosing left or right.

      Importantly, this curve is topologically equivalent to a line and likely represents a line attractor. However, regressing against reversal probability in such a case would show that a single principal component (PC2) directly correlates with reversal probability.

      b) The dynamics observed in the current study bear a striking resemblance to this structure, with the addition of intervening loops in the network state corresponding to within-trial state evolution. Crucially, these observations do not preclude the existence of a line attractor. Instead, they may reflect the network's need to produce fast timescale dynamics within each trial, superimposed on the slower dynamics of the line attractor.

      c) This alternative interpretation suggests that reward signals could function as inputs that shift the network state along the line attractor, with information being maintained across trials. The fast "intervening behaviors" observed by the authors could represent faster timescale dynamics occurring on top of the underlying line attractor dynamics, without erasing the accumulated evidence for reversals.

      d) Given these considerations, the authors' conclusion that their results are better described by separable dynamic trajectories rather than fixed points on a line attractor may be premature. The observed dynamics could potentially be reconciled with a more nuanced understanding of line attractor models, where the attractor itself may be curved and coexist with faster timescale dynamics.

      We appreciate the insightful comments on (1) the similarity of the work by Wang et al ’18 with our findings and (2) an alternative interpretation that augments the line attractor with fast timescale dynamics. 

      (1) We added a discussion of the work by Wang et al ’18 in Result Section 2 to point out the similarity of their findings in the principal component space with ours in the x_rev and x_choice space. We commented that such network dynamics could emerge when learning to perform the reversal learning the task, regardless of the training schemes. 

      We also mention that the RL approach in Wang et al ’18 does not consider within-trial dynamics, therefore lacks the non-stationary activity observed during the trial in the PFC of monkeys and our trained RNNs.

      (2) We revised our original manuscript substantially to reconcile the line attractor model with the nonstationary activity observed during a trial. 

      Here are the highlights of the revised interpretation of the PFC and the RNN network activity

      - The dynamics of x_rev consists of two activity modes, i.e., stationary activity at the start of a trial and non-stationary activity during the trial. Schematic of the augmented model that reconciles two activity modes is shown in Figure 4A. Analysis of the time derivative (dx_reverse / dt) and contractivity of the stationary state are shown in Figure 4B,C to demonstrate two activity modes.

      - We discuss in Result Section 4 main text that the stationary activity is consistent with the line attractor model, but the non-stationary activity deviates from the model. 

      - The two activity modes are linked dynamically. There is an underlying dynamics that can map the stationary state to the non-stationary trajectory. This is shown by predicting the nonstationary trajectory with the stationary state using a support vector regression model. The prediction results are shown in Figure 4D,E,F.

      - We discuss in Result Section 4 an extension of the standard line attractor model: points on the line attractor can serve as initial states that launch non-stationary activity associated with taskrelated behavior.

      - The separability of neural trajectories presented in Result Section 5 is framed as a property of the non-stationary dynamics associated with task-related behavior.

      To strengthen their claims, the authors should:

      (1) Provide a more detailed description of their RNN training paradigm and task structure, including clear illustrations of target outputs.

      (2) Discuss how their findings relate to and potentially extend previous work on similar tasks, particularly addressing the similarities and differences with the v-shaped state organization observed in reinforcement learning contexts. (https://www.nature.com/articles/s41593-018-0147-8 Figure1).

      (3) Explore whether their results could be consistent with a curved line attractor model, rather than treating line attractors and dynamic trajectories as mutually exclusive alternatives.

      Our response to these three comments is described above.

      Addressing these points would significantly enhance the impact of the study and provide a more nuanced understanding of how reversal probabilities are represented in neural circuits.

      In conclusion, while this study provides interesting insights into the neural representation of reversal probability, there are several areas where the methodology and interpretations could be refined.

      Additional Minor Concerns:

      (1) Network Training and Reversal Timing: The authors mention that the network was trained to switch after a reversal to match animal behavior, stating "Maximum a Posterior (MAP) of the reversal probability converges a few trials past the MAP estimate." More explanation of how this training strategy relates to actual animal behavior would enhance the reader's understanding of the meaning of the model's similarity to animal behavior in Figure 1.

      In Method Section 2.5, we described how our observation that the running estimate of MAP converges a few trials after the actual MAP is analogous to the animal’s reversal behavior.

      “This observation can be interpreted as follows. If a subject performing the reversal learning task employs the ideal observer model to detect the trial at which reward schedule is reversed, the subject can infer the reversal of reward schedule a few trials past the actual reversal and then switch its preferred choice. This delay in behavioral reversal, relative to the reversal of reward schedule, is analogous to the monkeys switching their preferred choice a few trials after the reversal of reward schedule.”

      In Step 4, we also mentioned that the target choice outputs are defined based on our observation in Step 3.

      “We used the observation from Step 3 to define target choice outputs that switch abruptly a few trials after the reversal of reward schedule, denoted as $t^*$ in the following. An example of target outputs are shown in Fig.\,\ref{fig_behavior}B.”

      (2) How is the network simulated in step 1 of training? Is it just randomly initialized? What defines this network structure?

      The initial state at the start of a block was random. We think the initial state is less relevant as the external inputs (i.e., cue and feedback) are strong and drive the network dynamics. We mentioned these setup and observation in Step 1 of training.

      “Step 1. Simulate the network starting from a random initial state, apply the external inputs, i.e., cue and feedback inputs, at each trial and store the network choices and reward outcomes at all the trials in a block. The network dynamics is driven by the external inputs applied periodically over the trials.”

      (3) Clarification on Learning Approach: More description of the approach in the main text would be beneficial. The statement "Here, we trained RNNs that learned from a Bayesian inference model to mimic the behavioral strategies of monkeys performing the reversal learning task [2, 4]" is somewhat confusing, as the model isn't directly fit to monkey data. A more detailed explanation of how the Bayesian inference model relates to monkey behavior and how it's used in RNN training would improve clarity.

      We described the learning approach in more detail, but also tried to be concise without going into technical details.

      We revised the sentence in Introduction as follows:

      “We sought to train RNNs to mimic the behavioral strategies of monkeys performing the reversal learning task. Previous studies \cite{costa2015reversal, bartolo2020prefrontal} have shown that a Bayesian inference model can capture a key aspect of the monkey's behavioral strategy, i.e., adhere to the preferred choice until the reversal of reward is detected and then switch abruptly. We trained the RNNs to replicate this behavioral strategy by training them on target behaviors generated from the Bayesian model.”

      We also added a paragraph in Result Section 1 that explains in detail how the training approach works.

      (4) In Figure 1B, it would be helpful to show the target output.

      We added a figure in Fig1B that shows a schematic of how the target output is generated.

      (5) An important point to consider is that a line attractor can be curved while still being topologically equivalent to a line. This nuance makes Figure 4A somewhat difficult to interpret. It might be helpful to discuss how the observed dynamics relate to potentially curved line attractors, which could provide a more nuanced understanding of the neural representations.

      As discussed above, we interpret the “curved” activity during the trial as non-stationary activity. We do not think this non-stationary activity would be characterized as attractor. Attractor is (1) a minimal set of states that is (2) invariant under the dynamics and (3) attracting when perturbed into its neighborhood [Strogatz, Nonlinear dynamics and chaos]. If we consider the autonomous system without the behavior-related external input as the base system, then the non-stationary states could satisfy (2) and (3) but not (1), so they are not part of the attractor. If we include the behavior-related external input to the autonomous dynamics, then it may be possible that the non-stationary trajectories are part of the attractor. We adopted the former interpretation as the behavior-related inputs are external and transient.

      (6) The results of the perturbation experiments seem to follow necessarily from the way x_rev was defined. It would be valuable to clarify if there's more to these results than what appears to be a direct consequence of the definition, or if there are subtleties in the experimental design or analysis that aren't immediately apparent.

      The neural activity x_rev is correlated to the reversal probability, but it is unclear if the activity in this neural subspace is causally linked to behavioral variables, such as choice output. We added this explanation at the beginning of Results Section 7 to clarify the reason for performing the perturbation experiments.

      “The neural activity $x_{rev}$ is obtained by identifying a neural subspace correlated to reversal probability. However, it remains to be shown if activity within this neural subspace is causally linked to behavioral variables, such as choice output.”

      Reviewer #2:

      Below is a list of things I have found difficult to understand, and been puzzled/concerned about while reading the manuscript:

      (1) It would be nice to say a bit more about the dataset that has been used for PFC analysis, e.g. number of neurons used and in what conditions is Figure 2A obtained (one has to go to supplementary to get the reference).

      We added information about the PFC dataset in the opening paragraph of Result Section 2 to provide an overview of what type of neural data we’ve analyzed. It includes information about the number of recorded neurons, recording method and spike binning process.

      (2) It would be nice to give more detail about the monkey task and better explain its trial structure.

      In Result Section 1 we added a description of the overall task structure (and its difference with other versions of revesal learning task), the RNN / monkey trial structure and differences in RNN and monkey tasks.

      (3) In the introduction it is mentioned that during the hold period, the probability of reversal is represented. Where does this statement come from?

      The fact that neural activity during a hold period, i.e., fixation period before presenting the target images, encodes the probability of reversal was demonstrated in a previous study (Bartolo and Averbeck ’20). 

      We realize that our intention was to state that, during the hold period, the reversal probability activity is stationary as in the line attractor model, instead of focusing on that the probability of reversal is represented during this period. We revised the sentence to convey this message. In addition, we revised the entire paragraph to reinterpret our findings: there are two activity modes where the stationary activity is consistent with the line attractor model but the non-stationary activity deviates from it.

      (4) "Around the behavioral reversal trial, reversal probabilities were represented by a family of rankordered trajectories that shifted monotonically". This sentence is confusing and hard to understand.

      Thank you for point this out. We rewrote the paragraph to reflect our revised interpretation. This sentence was removed, as it can be considered as part of the result on separable trajectories.

      (5) For clarity, in the first section, when it is written that "The reversal behavior of trained RNNs was similar to the monkey's behavior on the same task" it would be nice to be more precise, that this is to be expected given the strategy used to train the network.

      We removed this sentence as it makes a blanket statement. Instead, we compared the behavioral outputs of the RNNs and the monkeys one by one.

      We added a sentence in Result Section 1 that the RNN’s abrupt behavioral reversal is expected as they are trained to mimic the target choice outputs of the Bayesian model.

      “Such abrupt reversal behavior was expected as the RNNs were trained to mimic the target outputs of the Bayesian inference model.”

      (6) What is the value of tau used in eq (1), and how does it compare to trial duration?

      We described the value of time constant tau in Eq (1) and also discussed in Result Section 1 that tau=20ms is much faster than trial duration 500ms, thus the persistent behavior seen in trained RNNs is due to learning.

      (7) It would be nice to expand around the notion of « temporally flexible representation » to help readers grasp what this means.

      Instead of stating that the separable dynamic trajectories have “temporally flexible representation”, we break down in what sense it is temporally flexible: separable dynamic trajectories can accommodate the effects that task-related behavior have on generating non-stationary neural dynamics.

      “In sum, our results show that, in a probabilistic reversal learning task, recurrent neural networks encode reversal probability by adopting, not only stationary states as in a line attractor, but also separable dynamic trajectories that can represent distinct probabilistic values while accommodating non-stationary dynamics associated with task-related behavior.”

      Reviewer #3:

      (1) Data:

      It would be useful to describe the experimental task, recording setup, and analyses in much more detail - both in the text and in the methods. What part of PFC are the recordings from? How many neurons were recorded over how many sessions? Which other papers have they been used in? All of these things are important for the reader to know, but are not listed anywhere. There are also some inconsistencies, with the main text e.g. listing the 'typical block length' as 36 trials, and the methods listing the block length as 24 trials (if this is a difference between the biological data and RNN, that should be more explicit and motivated).

      We provided more detailed description of the monkey experimental task and PFC recordings in Result Section 1. We also added a new section in Methods 2.1 to describe the monkey experiment.

      The experimental analyses should be explained in more detail in the methods. There is e.g. no detailed description of the analysis in Figure 6F.

      We added a new section in Methods 6 to describe how the residual PFC activity is computed. It also describes the RNN perturbation experiments.

      Finally, it would be useful for more analyses of monkey behaviour and performance, either in the main text or supplementary figures.

      We did not pursue this comment as it is unclear how additional behavioral analyses would improve the manuscript.

      (2) Model:

      When fitting the network, 'step 1' of training in 2.3 seems superfluous. The posterior update from getting a reward at A is the same as that from not getting a reward at B (and vice versa), and it is therefore completely independent of the network choice. The reversal trial can therefore be inferred without ever simulating the network, simply by generating a sample of which trials have the 'good' option being rewarded and which trials have the 'bad' option being rewarded.

      We respectfully disagree with Reviewer 3’s comment that the reversal trial can be inferred without ever simulating the network. The only way for the network to know about the underlying reward schedule is to perform the task by itself. By simulating the network, it can sample the options and the reward outcomes. 

      Our understanding is that Review 3 described a strategy that a human would use to perform this task. Our goal was to train the RNN to perform the task.

      Do the blocks always start with choice A being optimal? Is everything similar if the network is trained with a variable initial rewarded option? E.g. in Fig 6, would you see the appropriate swap in the effect of the perturbation on choice probability if choice B was initially optimal?

      Thank you for pointing out that the initial high-value option can be random. When setting up the reward schedule, the initial high-value option was chosen randomly from two choice outputs and, at the scheduled reversal, it was switched to the other option. We did not describe this in the original manuscript.

      We added a descrption in Training Scheme Step 4 that the the initial high-value option is selected randomly. This is also explained in Result Section 1 when we give an overview of the RNN training procedure.

      (3) Content:

      It is rarely explained what the error bars represent (e.g. Figures 3B, 4C, ...) - this should be clear in all figures.

      We added that the error bars represent the standard error of mean.

      Figure 2A: this colour scheme is not great. There are abrupt colour changes both before and after the 'reversal' trial, and both of the extremes are hard to see.

      We changed the color scheme to contrast pre- and post-reversal trials without the abrupt color change.

      Figure 3E/F: how is prediction accuracy defined?

      We added that the prediction accuracy is based on Pearson correlation.

      Figure 4B: why focus on the derivative of the dynamics? The subsequent plots looking at the actual trajectories are much easier to understand. Also - what is 'relative trial' relative to?

      The derivative was analyzed to demonstrate stationarity or non-stationarity of the neural activity. We think it will be clearer in the revised manuscript that the derivative allows us to characterize those two activity modes.

      Relative trial number indicate the trial position relative to the behavioral reversal trial. We added this description to the figures when “relative trial” is used.

      Figure 4C: what do these analyses look like if you match the trial numbers for the shift in trajectories? As it is now, there will presumably be more rewarded trials early and late in each block, and more unrewarded trials around the reversal point. Does this introduce biases in the analysis? A related question is (i) why the black lines are different in the top and bottom plots, and (ii) why the ends of the black lines are discontinuous with the beginnings of the red/blue lines.

      We could not understand what Reviewer 3 was asking in this comment. It’d help if Review 3 could clarify the following question:

      “Figure 4C: what do these analyses look like if you match the trial numbers for the shift in trajectories?”

      Question (i): We wanted to look at how the trajectory shifts in the subsequent trial if a reward is or is not received in the current trial. The top panel analyzed all the trials in which the subsquent trial did not receive a reward. The bottom panel analyzed all the trials in which the subsequent trial received a reward. So, the trials analyzed in the top and bottom panels are different, and the black lines (x_rev of “current” trial) in the top and bottom panels are different.

      Question (ii): Black line is from the preceding trial of the red/blue lines, so if trials are designed to be continuous with the inter-trial-interval, then black and red/blue should be continuous. However, in the monkey experiment, the inter-trial-intervals were variable, so the end of current trial does not match with the start of next trial. The neural trajectories presented in the manuscript did not include the activity in this inter-trial-interval.

      Figure 6C: are the individual dots different RNNs? Claiming that there is a decrease in Delta x_choice for a v_+ stimulation is very misleading.

      Yes individual dots are different RNN perturbations. We added explanation about the dots in Figure7C caption. 

      We agree with the comment that \Delta x_choice did not decrease. This sentence was removed. Instead, we revised the manuscript to state that x_choice for v_+ stimulation was smaller than the x_choice for v_- stimulation. We performed KS-test to confirm statistical significance.

      Discussion: "...exhibited behaviour consistent with an ideal Bayesian observer, as found in our study". The RNN was explicitly trained to reproduce an ideal Bayesian observer, so this can only really be considered an assumption (not a result) in the present study.

      We agree that the statement in the original manuscript is inaccurate. It was revised to reflect that, in the other study, behavior outputs similar to a Bayesian observer emerged by simply learning to do the task, intead of directly mimicking the outputs of Bayesian observer as done in our study.

      “Authors showed that trained RNNs exhibited behavior outputs consistent with an ideal Bayesian observer without explicitly learning from the Bayesian observer. This finding shows that the behavioral strategies of monkeys could emerge by simply learning to do the task, instead of directly mimicking the outputs of Bayesian observer as done in our study.”

      Methods: Would the results differ if your Bayesian observer model used the true prior (i.e. the reversal happens in the middle 10 trials) rather than a uniform prior? Given the extensive literature on prior effects on animal behaviour, it is reasonable to expect that monkeys incorporate some non-uniform prior over the reversal point.

      Thank you for pointing out the non-uniform prior. We haven’t conducted this analysis, but would guess that the convergence to the posterior distribution would be faster. We’d have to perform further analysis, which is out of the scope of this paper, to investigate whether the posteior distribution would be different from what we obtained from uniform prior.

      Making the code available would make the work more transparent and useful to the community.

      The code is available in the following Github repository: https://github.com/chrismkkim/LearnToReverse

    1. Reviewer #2 (Public review):

      The manuscript by Lacy et al. is well written, with a clear and compelling introduction that effectively conveys the significance of the study. The methods are appropriate and well-executed, and the results, both in the main text and supplementary materials, are presented in a clear and detailed manner. The authors interpret their findings with appropriate caution.

      This work makes a valuable contribution to our understanding of the evolution of complementary sex determination (CSD) in ants. In particular, it provides important evidence for the ancient origin of a non-coding locus implicated in sex determination, and shows that, remarkably, this sex locus is conserved even in an ant species with a non-canonical reproductive system that typically does not produce males. I found this to be an excellent and well-rounded study, carefully analyzed and well contextualized.

      That said, I do have a few minor comments, primarily concerning the discussion of the potential 'ghost' CSD locus. While the authors acknowledge (line 367) that they currently have no data to distinguish among the alternative hypotheses, I found the evidence for an additional CSD locus presented in the results (lines 261-302) somewhat limited and at times a bit difficult to follow. I wonder whether further clarification or supporting evidence could already be extracted from the existing data. Specifically:

      (1) Line 268: I doubt the relevance of comparing the proportion of diploid males among all males between lines A and B to infer the presence of additional CSD loci. Since the mechanisms producing these two types of males differ, it might be more appropriate to compare the proportion of diploid males among all diploid offspring. This ratio has been used in previous studies on CSD in Hymenoptera to estimate the number of sex loci (see, for example, Cook 1993, de Boer et al. 2008, 2012, Ma et al. 2013, and Chen et al., 2021). The exact method might not be applicable to clonal raider ants, but I think comparing the percentage of diploid males among the total number of (diploid) offspring produced between the two lineages might be a better argument for a difference in CSD loci number.

      (2) If line B indeed carries an additional CSD locus, one would expect that some females could be homozygous at the ANTSR locus but still viable, being heterozygous only at the other locus. Do the authors detect any females in line B that are homozygous at the ANTSR locus? If so, this would support the existence of an additional, functionally independent CSD locus.

      (3) Line 281: The description of the two tra-containing CSD loci as "conserved" between Vollenhovia and the honey bee may be misleading. It suggests shared ancestry, whereas the honey bee csd gene is known to have arisen via a relatively recent gene duplication from fem/tra (10.1038/nature07052). It would be more accurate to refer to this similarity as a case of convergent evolution rather than conservation.

      (4) Finally, since the authors successfully identified multiple alleles of the first CSD locus using previously sequenced haploid males, I wonder whether they also observed comparable allelic diversity at the candidate second CSD locus. This would provide useful supporting evidence for its functional relevance.

      Overall, these are relatively minor points in the context of a strong manuscript, but I believe addressing them would improve the clarity and robustness of the authors' conclusions.

    2. Author response:

      Reviewer #1 (Public review):

      This study investigates the sex determination mechanism in the clonal ant Ooceraea biroi, focusing on a candidate complementary sex determination (CSD) locus-one of the key mechanisms supporting haplodiploid sex determination in hymenopteran insects. Using whole genome sequencing, the authors analyze diploid females and the rarely occurring diploid males of O. biroi, identifying a 46 kb candidate region that is consistently heterozygous in females and predominantly homozygous in diploid males. This region shows elevated genetic diversity, as expected under balancing selection. The study also reports the presence of an lncRNA near this heterozygous region, which, though only distantly related in sequence, resembles the ANTSR lncRNA involved in female development in the Argentine ant, Linepithema humile (Pan et al. 2024). Together, these findings suggest a potentially conserved sex determination mechanism across ant species. However, while the analyses are well conducted and the paper is clearly written, the insights are largely incremental. The central conclusion - that the sex determination locus is conserved in ants - was already proposed and experimentally supported by Pan et al. (2024), who included O. biroi among the studied species and validated the locus's functional role in the Argentine ant. The present study thus largely reiterates existing findings without providing novel conceptual or experimental advances.

      Although it is true that Pan et al., 2024 demonstrated (in Figure 4 of their paper) that the synteny of the region flanking ANTSR is conserved across aculeate Hymenoptera (including O. biroi), Reviewer 1’s claim that that paper provides experimental support for the hypothesis that the sex determination locus is conserved in ants is inaccurate. Pan et al., 2024 only performed experimental work in a single ant species (Linepithema humile) and merely compared reference genomes of multiple species to show synteny of the region, rather than functionally mapping or characterizing these regions.

      Other comments:

      The mapping is based on a very small sample size: 19 females and 16 diploid males, and these all derive from a single clonal line. This implies a rather high probability for false-positive inference. In combination with the fact that only 11 out of the 16 genotyped males are actually homozygous at the candidate locus, I think a more careful interpretation regarding the role of the mapped region in sex determination would be appropriate. The main argument supporting the role of the candidate region in sex determination is based on the putative homology with the lncRNA involved in sex determination in the Argentine ant, but this argument was made in a previous study (as mentioned above).

      Our main argument supporting the role of the candidate region in sex determination is not based on putative homology with the lncRNA in L. humile. Instead, our main argument comes from our genetic mapping (in Fig. 2), and the elevated nucleotide diversity within the identified region (Fig. 4). Additionally, we highlight that multiple genes within our mapped region are homologous to those in mapped sex determining regions in both L. humile and Vollenhovia emeryi, possibly including the lncRNA.

      In response to the Reviewer’s assertion that the mapping is based on a small sample size from a single clonal line, we want to highlight that we used all diploid males available to us. Although the primary shortcoming of a small sample size is to increase the probability of a false negative, small sample sizes can also produce false positives. We used two approaches to explore the statistical robustness of our conclusions. First, we generated a null distribution by randomly shuffling sex labels within colonies and calculating the probability of observing our CSD index values by chance (shown in Fig. 2). Second, we directly tested the association between homozygosity and sex using Fisher’s Exact Test (shown in Supplementary Fig. S2). In both cases, the association of the candidate locus with sex was statistically significant after multiple-testing correction using the Benjamini-Hochberg False Discovery Rate. These approaches are clearly described in the “CSD Index Mapping” section of the Methods.

      We also note that, because complementary sex determination loci are expected to evolve under balancing selection, our finding that the mapped region exhibits a peak of nucleotide diversity lends orthogonal support to the notion that the mapped locus is indeed a complementary sex determination locus.

      The fourth paragraph of the results and the sixth paragraph of the discussion are devoted to explaining the possible reasons why only 11/16 genotyped males are homozygous in the mapped region. The revised manuscript will include an additional sentence (in what will be lines 384-388) in this paragraph that includes the possible explanation that this locus is, in fact, a false positive, while also emphasizing that we find this possibility to be unlikely given our multiple lines of evidence.

      In response to Reviewer 1’s suggestion that we carefully interpret the role of the mapped region in sex determination, we highlight our careful wording choices, nearly always referring to the mapped locus as a “candidate sex determination locus” in the title and throughout the manuscript. For consistency, the revised manuscript version will change the second results subheading from “The O. biroi CSD locus is homologous to another ant sex determination locus but not to honeybee csd” to “O. biroi’s candidate CSD locus is homologous to another ant sex determination locus but not to honeybee csd,” and will add the word “candidate” in what will be line 320 at the beginning of the Discussion, and will change “putative” to “candidate” in what will be line 426 at the end of the Discussion.

      In the abstract, it is stated that CSD loci have been mapped in honeybees and two ant species, but we know little about their evolutionary history. But CSD candidate loci were also mapped in a wasp with multi-locus CSD (study cited in the introduction). This wasp is also parthenogenetic via central fusion automixis and produces diploid males. This is a very similar situation to the present study and should be referenced and discussed accordingly, particularly since the authors make the interesting suggestion that their ant also has multi-locus CSD and neither the wasp nor the ant has tra homologs in the CSD candidate regions. Also, is there any homology to the CSD candidate regions in the wasp species and the studied ant?

      In response to Reviewer 1’s suggestion that we reference the (Matthey-Doret et al. 2019) study in the context of diploid males being produced via losses of heterozygosity during asexual reproduction, the revised manuscript will include the following sentence: “Therefore, if O. biroi uses CSD, diploid males might result from losses of heterozygosity at sex determination loci (Fig. 1C), similar to what is thought to occur in other asexual Hymenoptera that produce diploid males (Rabeling and Kronauer 2012; Matthey-Doret et al. 2019).”

      We note, however, that in their 2019 study, Matthey-Doret et al. did not directly test the hypothesis that diploid males result from losses of heterozygosity at CSD loci during asexual reproduction, because the diploid males they used for their mapping study came from inbred crosses in a sexual population of that species.

      We address this further below, but we want to emphasize that we do not intend to argue that O. biroi has multiple CSD loci. Instead, we suggest that additional, undetected CSD loci is one possible explanation for the absence of diploid males from any clonal line other than clonal line A. In response to Reviewer 1’s suggestion that we reference the (Matthey-Doret et al. 2019) study in the context of multilocus CSD, the revised manuscript version will include the following additional sentence in the fifth paragraph of the discussion: “Multi-locus CSD has been suggested to limit the extent of diploid male production in asexual species under some circumstances (Vorburger 2013; Matthey-Doret et al. 2019).”

      Regarding Reviewer 2’s question about homology between the putative CSD loci from the (Matthey-Doret et al. 2019) study and O. biroi, we note that there is no homology. The revised manuscript version will have an additional Supplementary Table (which will be the new Supplementary Table S3) that will report the results of this homology search. The revised manuscript will also include the following additional sentence in the Results: “We found no homology between the genes within the O. biroi CSD index peak and any of the genes within the putative L. fabarum CSD loci (Supplementary Table S3).”

      The authors used different clonal lines of O. biroi to investigate whether heterozygosity at the mapped CSD locus is required for female development in all clonal lines of O. biroi (L187-196). However, given the described parthenogenesis mechanism in this species conserves heterozygosity, additional females that are heterozygous are not very informative here. Indeed, one would need diploid males in these other clonal lines as well (but such males have not yet been found) to make any inference regarding this locus in other lines.

      We agree that a full mapping study including diploid males from all clonal lines would be preferable, but as stated earlier in that same paragraph, we have only found diploid males from clonal line A. We stand behind our modest claim that “Females from all six clonal lines were heterozygous at the CSD index peak, consistent with its putative role as a CSD locus in all O. biroi.” In the revised manuscript version, this sentence (in what will be lines 199-201) will be changed slightly in response to a reviewer comment below: “All females from all six clonal lines (including 26 diploid females from clonal line B) were heterozygous at the CSD index peak, consistent with its putative role as a CSD locus in all O. biroi.”

      Reviewer #2 (Public review):

      The manuscript by Lacy et al. is well written, with a clear and compelling introduction that effectively conveys the significance of the study. The methods are appropriate and well-executed, and the results, both in the main text and supplementary materials, are presented in a clear and detailed manner. The authors interpret their findings with appropriate caution.

      This work makes a valuable contribution to our understanding of the evolution of complementary sex determination (CSD) in ants. In particular, it provides important evidence for the ancient origin of a non-coding locus implicated in sex determination, and shows that, remarkably, this sex locus is conserved even in an ant species with a non-canonical reproductive system that typically does not produce males. I found this to be an excellent and well-rounded study, carefully analyzed and well contextualized.

      That said, I do have a few minor comments, primarily concerning the discussion of the potential 'ghost' CSD locus. While the authors acknowledge (line 367) that they currently have no data to distinguish among the alternative hypotheses, I found the evidence for an additional CSD locus presented in the results (lines 261-302) somewhat limited and at times a bit difficult to follow. I wonder whether further clarification or supporting evidence could already be extracted from the existing data. Specifically:

      We agree with Reviewer 2 that the evidence for a second CSD locus is limited. In fact, we do not intend to advocate for there being a second locus, but we suggest that a second CSD locus is one possible explanation for the absence of diploid males outside of clonal line A. In our initial version, we intentionally conveyed this ambiguity by titling this section “O. biroi may have one or multiple sex determination loci.” However, we now see that this leads to undue emphasis on the possibility of a second locus. In the revised manuscript, we will split this into two separate sections: “Diploid male production differs across O. biroi clonal lines” and “O. biroi lacks a tra-containing CSD locus.”

      (1) Line 268: I doubt the relevance of comparing the proportion of diploid males among all males between lines A and B to infer the presence of additional CSD loci. Since the mechanisms producing these two types of males differ, it might be more appropriate to compare the proportion of diploid males among all diploid offspring. This ratio has been used in previous studies on CSD in Hymenoptera to estimate the number of sex loci (see, for example, Cook 1993, de Boer et al. 2008, 2012, Ma et al. 2013, and Chen et al., 2021). The exact method might not be applicable to clonal raider ants, but I think comparing the percentage of diploid males among the total number of (diploid) offspring produced between the two lineages might be a better argument for a difference in CSD loci number.

      We want to re-emphasize here that we do not wish to advocate for there being two CSD loci in O. biroi. Rather, we want to explain that this is one possible explanation for the apparent absence of diploid males outside of clonal line A. We hope that the modifications to the manuscript described in the previous response help to clarify this.

      Reviewer 2 is correct that comparing the number of diploid males to diploid females does not apply to clonal raider ants. This is because males are vanishingly rare among the vast numbers of females produced. We do not count how many females are produced in laboratory stock colonies, and males are sampled opportunistically. Therefore, we cannot report exact numbers. However, we will add the following sentence to the revised manuscript: “Despite the fact that we maintain more colonies of clonal line B than of clonal line A in the lab, all the diploid males we detected came from clonal line A.”

      (2) If line B indeed carries an additional CSD locus, one would expect that some females could be homozygous at the ANTSR locus but still viable, being heterozygous only at the other locus. Do the authors detect any females in line B that are homozygous at the ANTSR locus? If so, this would support the existence of an additional, functionally independent CSD locus.

      We thank the reviewer for this suggestion, and again we emphasize that we do not want to argue in favor of multiple CSD loci. We just want to introduce it as one possible explanation for the absence of diploid males outside of clonal line A.

      The 26 sequenced diploid females from clonal line B are all heterozygous at the mapped locus, and the revised manuscript will clarify this in what will be lines 199-201. Previously, only six of those diploid females were included in Supplementary Table S2, and that will be modified accordingly.

      (3) Line 281: The description of the two tra-containing CSD loci as "conserved" between Vollenhovia and the honey bee may be misleading. It suggests shared ancestry, whereas the honey bee csd gene is known to have arisen via a relatively recent gene duplication from fem/tra (10.1038/nature07052). It would be more accurate to refer to this similarity as a case of convergent evolution rather than conservation.

      In the sentence that Reviewer 2 refers to, we are representing the assertion made in the (Miyakawa and Mikheyev 2015) paper in which, regarding their mapping of a candidate CSD locus that contains two linked tra homologs, they write in the abstract: “these data support the prediction that the same CSD mechanism has indeed been conserved for over 100 million years.” In that same paper, Miyakawa and Mikheyev write in the discussion section: “As ants and bees diverged more than 100 million years ago, sex determination in honey bees and V. emeryi is probably homologous and has been conserved for at least this long.”

      As noted by Reviewer 2, this appears to conflict with a previously advanced hypothesis: that because fem and csd were found in Apis mellifera, Apis cerana, and Apis dorsata, but only fem was found in Mellipona compressipes, Bombus terrestris, and Nasonia vitripennis, that the csd gene evolved after the honeybee (Apis) lineage diverged from other bees (Hasselmann et al. 2008). However, it remains possible that the csd gene evolved after ants and bees diverged from N. vitripennis, but before the divergence of ants and bees, and then was subsequently lost in B. terrestris and M. compressipes. This view was previously put forward based on bioinformatic identification of putative orthologs of csd and fem in bumblebees and in ants [(Schmieder et al. 2012), see also (Privman et al. 2013)]. However, subsequent work disagreed and argued that the duplications of tra found in ants and in bumblebees represented convergent evolution rather than homology (Koch et al. 2014). Distinguishing between these possibilities will be aided by additional sex determination locus mapping studies and functional dissection of the underlying molecular mechanisms in diverse Aculeata.

      Distinguishing between these competing hypotheses is beyond the scope of our paper, but the revised manuscript will include additional text to incorporate some of this nuance. We will include these modified lines below:

      “A second QTL region identified in V. emeryi (V.emeryiCsdQTL1) contains two closely linked tra homologs, similar to the closely linked honeybee tra homologs, csd and fem (Miyakawa and Mikheyev 2015). This, along with the discovery of duplicated tra homologs that undergo concerted evolution in bumblebees and ants (Schmieder et al. 2012; Privman et al. 2013) has led to the hypothesis that the function of tra homologs as CSD loci is conserved with the csd-containing region of honeybees (Schmieder et al. 2012; Miyakawa and Mikheyev 2015). However, other work has suggested that tra duplications occurred independently in honeybees, bumblebees, and ants (Hasselmann et al. 2008; Koch et al. 2014), and it remains to be demonstrated that either of these tra homologs acts as a primary CSD signal in V. emeryi.”

      (4) Finally, since the authors successfully identified multiple alleles of the first CSD locus using previously sequenced haploid males, I wonder whether they also observed comparable allelic diversity at the candidate second CSD locus. This would provide useful supporting evidence for its functional relevance.

      As is already addressed in the final paragraph of the results and in Supplementary Fig. S4, there is no peak of nucleotide diversity in any of the regions homologous to V.emeryiQTL1, which is the tra-containing candidate sex determination locus (Miyakawa and Mikheyev 2015). In the revised manuscript, the relevant lines will be 307-310. We want to restate that we do not propose that there is a second candidate CSD locus in O. biroi, but we simply raise the possibility that multi-locus CSD *might* explain the absence of diploid males from clonal lines other than clonal line A (as one of several alternative possibilities).

      Overall, these are relatively minor points in the context of a strong manuscript, but I believe addressing them would improve the clarity and robustness of the authors' conclusions.

      Reviewer #3 (Public review):

      Summary:

      The sex determination mechanism governed by the complementary sex determination (CSD) locus is one of the mechanisms that support the haplodiploid sex determination system evolved in hymenopteran insects. While many ant species are believed to possess a CSD locus, it has only been specifically identified in two species. The authors analyzed diploid females and the rarely occurring diploid males of the clonal ant Ooceraea biroi and identified a 46 kb CSD candidate region that is consistently heterozygous in females and predominantly homozygous in males. This region was found to be homologous to the CSD locus reported in distantly related ants. In the Argentine ant, Linepithema humile, the CSD locus overlaps with an lncRNA (ANTSR) that is essential for female development and is associated with the heterozygous region (Pan et al. 2024). Similarly, an lncRNA is encoded near the heterozygous region within the CSD candidate region of O. biroi. Although this lncRNA shares low sequence similarity with ANTSR, its potential functional involvement in sex determination is suggested. Based on these findings, the authors propose that the heterozygous region and the adjacent lncRNA in O. biroi may trigger female development via a mechanism similar to that of L. humile. They further suggest that the molecular mechanisms of sex determination involving the CSD locus in ants have been highly conserved for approximately 112 million years. This study is one of the few to identify a CSD candidate region in ants and is particularly noteworthy as the first to do so in a parthenogenetic species.

      Strengths:

      (1) The CSD candidate region was found to be homologous to the CSD locus reported in distantly related ant species, enhancing the significance of the findings.

      (2) Identifying the CSD candidate region in a parthenogenetic species like O. biroi is a notable achievement and adds novelty to the research.

      Weaknesses

      (1) Functional validation of the lncRNA's role is lacking, and further investigation through knockout or knockdown experiments is necessary to confirm its involvement in sex determination.

      See response below.

      (2) The claim that the lncRNA is essential for female development appears to reiterate findings already proposed by Pan et al. (2024), which may reduce the novelty of the study.

      We do not claim that the lncRNA is essential for female development in O. biroi, but simply mention the possibility that, as in L. humile, it is somehow involved in sex determination. We do not have any functional evidence for this, so this is purely based on its genomic position immediately adjacent to our mapped candidate region. We agree with the reviewer that the study by Pan et al. (2024) decreases the novelty of our findings. Another way of looking at this is that our study supports and bolsters previous findings by partially replicating the results in a different species.

    1. Reviewer #2 (Public review):

      Summary:

      The authors apply the recently developed VARX model, which explicitly models intrinsic dynamics and the effect of extrinsic inputs, to simulated data and intracranial EEG recordings. This method provides a directed method of 'intrinsic connectivity'. They argue this model is better suited to the analysis of task neuroimaging data because it separates the intrinsic and extrinsic activity. They show: that intrinsic connectivity is largely unaltered during a movie-watching task compared to eyes open rest; intrinsic noise is reduced in the task; and there is intrinsic directed connectivity from sensory to higher-order brain areas.

      Strengths:

      (1) The paper tackles an important issue with an appropriate method.

      (2) The authors validated their method on data simulated with a neural mass model.

      (3) They use intracranial EEG, which provides a direct measure of neuronal activity.

      (4) Code is made publicly available and the paper is written well.

      Comments on revisions:'

      The authors have addressed my comments.

    1. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      The authors have used full-length single-cell sequencing on a sorted population of human fetal retina to delineate expression patterns associated with the progression of progenitors to rod and cone photoreceptors. They find that rod and cone precursors contain a mix of rod/cone determinants, with a bias in both amounts and isoform balance likely deciding the ultimate cell fate. Markers of early rod/cone hybrids are clarified, and a gradient of lncRNAs is uncovered in maturing cones. Comparison of early rods and cones exposes an enriched MYCN regulon, as well as expression of SYK, which may contribute to tumor initiation in RB1 deficient cone precursors.

      Strengths:

      (1) The insight into how cone and rod transcripts are mixed together at first is important and clarifies a long-standing notion in the field.

      (2) The discovery of distinct active vs inactive mRNA isoforms for rod and cone determinants is crucial to understanding how cells make the decision to form one or the other cell type. This is only really possible with full-length scRNAseq analysis.

      (3) New markers of subpopulations are also uncovered, such as CHRNA1 in rod/cone hybrids that seem to give rise to either rods or cones.

      (4) Regulon analyses provide insight into key transcription factor programs linked to rod or cone fates.

      (5) The gradient of lncRNAs in maturing cones is novel, and while the functional significance is unclear, it opens up a new line of questioning around photoreceptor maturation.

      (6) The finding that SYK mRNA is naturally expressed in cone precursors is novel, as previously it was assumed that SYK expression required epigenetic rewiring in tumors.

      We thank the reviewer for describing the study’s strengths, reflecting the major conclusions of the initially submitted manuscript.  However, based on new analyses – including the requested analyses of other scRNA-seq datasets, our revision clarifies that:

      -  related to point (1), cone and rod transcripts do not appear to be mixed together at first (i.e., in immediately post-mitotic immature cone and rod precursors) but appear to be coexpressed in subsequent cone and rod precursor stages; and 

      - related to point (3), CHRNA1 appears to mark immature cone precursors that are distinct from the maturing cone and rod precursors that co-express cone- and rod-related RNAs (despite the similar UMAP positions of the two populations in our dataset). 

      Weaknesses:

      (1) The writing is very difficult to follow. The nomenclature is confusing and there are contradictory statements that need to be clarified.

      (2) The drug data is not enough to conclude that SYK inhibition is sufficient to prevent the division of RB1 null cone precursors. Drugs are never completely specific so validation is critical to make the conclusion drawn in the paper.

      We thank the reviewer for noting these important issues. Accordingly, in the revised manuscript:

      (1) We improve the writing and clarify the nomenclature and contradictory statements, particularly those noted in the Reviewer’s Recommendations for Authors. 

      (2) We scale back claims related to the role of SYK in the cone precursor response to RB1 loss, with wording changes in the Abstract, Results, and Discussion, which now recognize that the inhibitor studies only support the possibility that cone-intrinsic SYK expression contributes to retinoblastoma initiation, as detailed in our responses to Reviewer’s Recommendations for Authors. We agree and now mention that genetic perturbation of SYK is required to prove its role.  

      Reviewer #2 (Public review):

      Summary:

      The authors used deep full-length single-cell sequencing to study human photoreceptor development, with a particular emphasis on the characteristics of photoreceptors that may contribute to retinoblastoma.

      Strengths:

      This single-cell study captures gene regulation in photoreceptors across different developmental stages, defining post-mitotic cone and rod populations by highlighting their unique gene expression profiles through analyses such as RNA velocity and SCENIC. By leveraging fulllength sequencing data, the study identifies differentially expressed isoforms of NRL and THRB in L/M cone and rod precursors, illustrating the dynamic gene regulation involved in photoreceptor fate commitment. Additionally, the authors performed high-resolution clustering to explore markers defining developing photoreceptors across the fovea and peripheral retina, particularly characterizing SYK's role in the proliferative response of cones in the RB loss background. The study provides an in-depth analysis of developing human photoreceptors, with the authors conducting thorough analyses using full-length single-cell RNA sequencing. The strength of the study lies in its design, which integrates single-cell full-length RNA-seq, longread RNA-seq, and follow-up histological and functional experiments to provide compelling evidence supporting their conclusions. The model of cell type-dependent splicing for NRL and THRB is particularly intriguing. Moreover, the potential involvement of the SYK and MYC pathways with RB in cone progenitor cells aligns with previous literature, offering additional insights into RB development.

      We thank the reviewer for summarizing the main findings and noting the compelling support for the conclusions, the intriguing cell type-dependent splicing of rod and cone lineage factors, and the insights into retinoblastoma development.  

      Weaknesses:

      The manuscript feels somewhat unfocused, with a lack of a strong connection between the analysis of developing photoreceptors, which constitutes the bulk of the manuscript, and the discussion on retinoblastoma. Additionally, given the recent publication of several single-cell studies on the developing human retina, it is important for the authors to cross-validate their findings and adjust their statements where appropriate.

      We agree that the manuscript covers a range of topics resulting from the full-length scRNAseq analyses and concur that some studies of developing photoreceptors were not well connected to retinoblastoma. However, we also note that the connection to retinoblastoma is emphasized in several places in the Introduction and throughout the manuscript and was a significant motivation for pursuing the analyses. We suggest that it was valuable to highlight how deep, fulllength scRNA-seq of developing retina provides insights into retinoblastoma, including i) the similar biased expression of NRL transcript isoforms in cone precursors and RB tumors, ii) the cone precursors’ co-expression of rod- and cone-related genes such as NR2E3 and GNAT2, which may explain similar co-expression in RB cells, and iii) the expression of  SYK in early cones and RB cells.  While the earlier version had mainly highlighted point (iii), the revised Discussion further refers to points (i) and (ii) as described further in the response to the Reviewer’s Recommendations for Authors. 

      We address the Reviewer’s request to cross-validate our findings with those of other single-cell studies of developing human retina by relating the different photoreceptor-related cell populations identified in our study to those characterized by Zuo et al (PMID 39117640), which was specifically highlighted by the reviewer and is especially useful for such cross-validation given the extraordinarily large ~ 220,000 cell dataset covering a wide range of retinal ages (pcw 8–23) and spatiotemporally stratified by macular or peripheral retina location. Relevant analyses of the Zuo et al dataset are shown in Supplementary Figures S3G-H, S10B, S11A-F, and S13A,B. 

      Reviewer #3 (Public review):

      Summary:

      The authors use high-depth, full-length scRNA-Seq analysis of fetal human retina to identify novel regulators of photoreceptor specification and retinoblastoma progression.

      Strengths:

      The use of high-depth, full-length scRNA-Seq to identify functionally important alternatively spliced variants of transcription factors controlling photoreceptor subtype specification, and identification of SYK as a potential mediator of RB1-dependent cell cycle reentry in immature cone photoreceptors.

      Human developing fetal retinal tissue samples were collected between 13-19 gestational weeks and this provides a substantially higher depth of sequencing coverage, thereby identifying both rare transcripts and alternative splice forms, and thereby representing an important advance over previous droplet-based scRNA-Seq studies of human retinal development.

      Weaknesses:

      The weaknesses identified are relatively minor. This is a technically strong and thorough study, that is broadly useful to investigators studying retinal development and retinoblastoma.

      We thank the reviewer for describing the strengths of the study. Our revision addresses the concerns raised separately in the Reviewer’s Recommendations for Authors, as detailed in the responses below.  

      Recommendations for the authors:

      Reviewing Editor Comments:

      The reviewers have completed their reviews. Generally, they note that your work is important and that the evidence is generally convincing. The reviewers are in general agreement that the paper adds to the field. The findings of rod/cone fate determination at a very early stage are intriguing. Generally, the paper would benefit from clarifications in the writing and figures. Experimentally, the paper would benefit from validation of the drug data, for example using RNAi or another assay. Alternatively, the authors could note the caveats of the drug experiments and describe how they could be improved. In terms of analysis, the paper would be improved by additional comparisons of the authors' data to previously published datasets.

      We thank the reviewing editor for this summary. As described in the individual reviewer responses, we clarify the writing and figures and provide comparisons to previously published datasets (in particular, the large snRNA-seq dataset of Zuo et al., 2024 (PMID 39117640).  With regard to the drug (i.e., SYK inhibitor) studies, we opted to provide caveats and describe the need for genetic approaches to validate the role of SYK, owing to the infeasibility of completing genetic perturbation experiments in the appropriate timeframe.  We are grateful for the opportunity to present our findings with appropriate caveats. 

      Reviewer #1 (Recommendations for the authors):

      Shayler cell sort human progenitor/rod/cone populations then full-length single cell RNAseq to expose features that distinguish paths towards rods or cones. They initially distinguish progenitors (RPCs), immature photoreceptor precursors (iPRPs), long/medium wavelength (LM) cones, late-LM cones, short wavelength (S) cones, early rods (ER) and late rods (LR), which exhibit distinct transcription factor regulons (Figures 1, 2). These data expose expected and novel enriched genes, and support the notion that S cones are a default state lacking expression of rod (NRL) or cone (THRB) determinants but retaining expression of generic photoreceptor drivers (CRX/OTX2/NEUROD1 regulons). They identify changes in regulon activity, such as increasing NRL activity from iPRP to ER to LR, but decreasing from iPRP to cones, or increasing RAX/ISL2/THRB regulon activity from iPRP to LM cones, but decreasing from iPRP to S cones or rods.

      They report co-expression of rod/cone determinants in LM and ER clusters, and the ratios are in the expected directions (NRLTHRB or RXRG in ER). A novel insight from the FL seq is that there are differing variants generated in each cell population. Full-length NRL (FL-NRL) predominates in the rod path, whereas truncated NRL (Tr-NRL) does so in the cone path, then similar (but opposite) findings are presented for THRB (Fig 3, 4), whereas isoforms are not a feature of RXRG expression, just the higher expression in cones.

      The authors then further subcluster and perform RNA velocity to uncover decision points in the tree (Figure 5). They identify two photoreceptor precursor streams, the Transitional Rods (TRs) that provide one source for rod maturation and (reusing the name from the initial clustering) iPRPs that form cones, but also provide a second route to rods. TR cells closest to RPCs (immediately post-mitotic) have higher levels of the rod determinant NR2E3 and NRL, whereas the higher resolution iPRPs near RPCs lack NR2E3 and have higher levels of ONECUT1, THRB, and GNAT2, a cone bias. These distinct rod-biased TR and cone-biased high-resolution iPRPs were not evident in published scRNAseq with 3′ end-counting (i.e. not FL seq). Regulon analysis confirmed higher NRL activity in TR cells, with higher THRB activity in highresolution iPRP cells.

      Many of the more mature high-resolution iPRPs show combinations of rod (GNAT1, NR2E3) and cone (GNAT2, THRB) paths as well as both NRL and THRB regulons, but with a bias towards cone-ness (Figure 6). Combined FISH/immunofluorescence in fetal retina uncovers cone-biased RXRG-protein-high/NR2E3-protein-absent cone-fated cells that nevertheless expressed NR2E3 mRNA. Thus early cone-biased iPRP cells express rod gene mRNA, implying a rod-cone hybrid in early photoreceptor development. The authors refer to these as "bridge region iPRP cells".

      In Figure 7, they identify CHRNA1 as the most specific marker of these bridge cells (overlapping with ATOH7 and DLL3, previously linked to cone-biased precursors), and FISH shows it is expressed in rod-biased NRL protein-positive and cone-biased RXRG proteinpositive cones at fetal week 12.

      Figure 8 outlines the graded expression of various lncRNAs during cone maturation, a novel pattern.

      Finally (Figure 9), the authors identify differential genes expressed in early rods (ER cluster from Figure 1) vs early cones (LM cluster, excluding the most mature opsin+ cells), revealing high levels of MYCN targets in cones. They also find SYK expression in cones. SYK was previously linked to retinoblastoma, so intrinsic expression may predispose cone precursors to transformation upon RB loss. They finish by showing that a SYK inhibitor blocks the proliferation of dividing RB1 knockdown cone precursors in the human fetal retina.

      Overall, the authors have uncovered interesting patterns of biased expression in cone/rod developmental paths, especially relating to the isoform differences for NRL and THRB which add a new layer to our understanding of this fate choice. The analyses also imply that very soon after RPCs exit the cell cycle, they generate post-mitotic precursors biased towards a rod or cone fate, that carry varying proportions of mixed rod/cone determinants and other rod/cone marker genes. They also introduce new markers that may tag key populations of cells that precede the final rod/cone choice (e.g. CHRNA1), catalogue a new lncRNA gradient in cone maturation, and provide insight into potential genes that may contribute to retinoblastoma initiation, like SYK, due to intrinsic expression in cone precursors. However, as detailed below, the text needs to be improved considerably, and overinterpretations need to be moderated, removed, or tested more rigorously with extra data.

      Major Comments

      The manuscript is very difficult to follow. The nomenclature is at times torturous, and the description of hybrid rod/cone hybrid cells is confusing in many aspects.

      (1) A single term, iPRP, is used to refer to an initial low-resolution cluster, and then to a subset of that cluster later in the paper.

      We agree that using immature photoreceptor precursor (iPRP) for both high-resolution and lowresolution clusters was confusing. We kept this name for the low-resolution cluster (which includes both immature cone and immature rod precursors), renamed the high-resolution iPRP cluster immature cone precursors (iCPs). and renamed their transitional rod (TR) counterparts immature rod precursors (iRPs). These designations are based on 

      - the biased expression of THRB, ONECUT1, and the THRB regulon in iCPs (Fig. 5D,E);

      - the biased expression of NRL, NR2E3, and NRL regulon iRPs (Fig. 5D,E);

      - the partially distinct iCP and iRP UMAP positions (Figure 5C); and 

      - the evidence of similar immature cone versus rod precursor populations in the Zuo et al 3’ snRNA-seq dataset, as noted below and described in two new paragraphs starting at the bottom of p. 12.

      (2) To complicate matters further, the reader needs to understand the subset within the iPRP referred to as bridge cells, and we are told at one point that the earliest iPRPs lack NR2E3, then that they later co-express NR2E3, and while the authors may be referring to protein and RNA, it serves to further confuse an already difficult to follow distinction. I had to read and re-read the iPRP data many times, but it never really became totally clear.

      We agree that the description of the high-resolution iPRP (now “iCP”) subsets was unclear, although our further analyses of a large 3’ snRNA-seq dataset in Figure S11 support the impression given in the original manuscript that the earliest iCPs lack NR2E3 and then later coexpress NR2E3 while the earliest iRPs lack THRB and then later express THRB. As described in new text in the Two post-mitotic immature photoreceptor precursor populations section (starting on line 7 of p. 13): 

      When considering only the main cone and rod precursor UMAP regions, early (pcw 8 – 13) cone precursors expressed THRB and lacked NR2E3 (Figure S11D,E, blue arrows), while early (pcw 10 – 15) rod precursors expressed NR2E3 and lacked THRB (Figure S11D,E, red arrows), similar to RPC-localized iCPs and iRPs in our study (Figure 5D).

      Next, as summarized in new text in the Early cone and rod precursors with rod- and conerelated RNA co-expression section (new paragraph at top of p. 16): 

      Thus, a 3’ snRNA-seq analysis confirmed the initial production of immature photoreceptor precursors with either L/M cone-precursor-specific THRB or rod-precursor-specific NR2E3 expression, followed by lower-level co-expression of their counterparts, NR2E3 in cone precursors and THRB in rod precursors. However, in the Zuo et al. analyses, the co-expression was first observed in well-separated UMAP regions, as opposed to a region that bridges the early cone and early rod populations in our UMAP plots. These findings are consistent with the notion that cone- and rod-related RNA co-expression begins in already fate-determined cone and rod precursors, and that such precursors aberrantly intermixed in our UMAP bridge region due to their insufficient representation in our dataset.  

      Importantly, and as noted in our ‘Public response’ to Reviewer 1, “CHRNA1 appears to mark immature cone precursors that are distinct from the maturing cone and rod precursors that coexpress cone- and rod-related RNAs (despite the similar UMAP positions of the two populations in our dataset).” In support of this notion, the immature cone precursors expressing CHRNA1  and other  populations did not overlap in UMAP space in the Zuo et al dataset. We hope the new text cited above along with other changes will significantly clarify the observations.

      (3) The term "cone/rod precursor" shows up late in the paper (page 12), but it was clear (was it not?) much earlier in this manuscript that cone and rod genes are co-expressed because of the coexpressed NRL and THRB isoforms in Figures 3/4.

      We thank the reviewer for noting that the differential NRL and THRB isoform expression already implies that cone and rod genes are co-expressed. However, as we now state, the co-expression of RNAs encoding an additional cone marker (GNAT2) and rod markers (GNAT1, NR2E3) was 

      “suggestive of a proposed hybrid cone/rod precursor state more extensive than implied by the coexpression of different THRB and NRL isoforms” (first paragraph of “Early cone and rod …” section on p. 14; new text underlined). 

      (4) The (incorrect) impression given later in the manuscript is that the rod/cone transcript mixture applies to just a subset of the iPRP cells, or maybe just the bridge cells (writing is not clear), but actually, neither of those is correct as the more abundant and more mature LM and ER populations analyzed earlier coexpress NRL and THRB mRNAs (Figures 2, 3). Overall, the authors need to vastly improve the writing, simplify/clarify the nomenclature, and better label figures to match the text and help the reader follow more easily and clearly. As it stands, it is, at best, obtuse, and at worst, totally confusing.

      We thank the reviewer for bringing the extent of the confusing terminology and wording to our attention. We revised the terminology (as in our response to point 1) and extensively revised the text.  We also performed similar analyses of the Zuo et al. data (as described in more detail in our response to Reviewer 2), which clarifies the distinct status of cells with the “rod/cone transcript mixture” and cells co-expressing early cone and rod precursor markers.  

      To more clearly describe data related to cells with rod- and cone-related RNA co-expression, we divided the former Figure 6 into two figures, with Figure 6 now showing the cone- and rodrelated RNA co-expression inferred from scRNA-seq and Figure 7 showing GNAT2 and NR2E3 co-expression in FISH analyses of human retina plus a new schematic in the new panel 7E.

      To separate the conceptually distinct analyses of cone and rod related RNA co-expression and the expression of early photoreceptor precursor markers (which were both found in the so-called bridge region – yet now recognized to be different subpopulations), we separated the analyses of the early photoreceptor precursor markers to form a new section, “Developmental expression of photoreceptor precursor markers and fate determinants,” starting on p. 16. 

      Additionally, we further review the findings and their implications in four revised Discussion paragraphs starting at the bottom of p. 23).

      (5) The data showing that overexpressing Tr-NRL in murine NIH3T3 fibroblasts blocks FL-NRL function is presented at the end of page 7 and in Figure 3G. Subsequent analysis two paragraphs and two figures later (end page 8, Figure 5C + supp figs) reveal that Tr-NRL protein is not detectable in retinoblastoma cells which derive from cone precursors cells and express Tr-NRL mRNA, and the protein is also not detected upon lentiviral expression of Tr-NRL in human fetal retinal explants, suggesting it is unstable or not translated. It would be preferable to have the 3T3 data and retinoblastoma/explant data juxtaposed. E.g. they could present the latter, then show the 3T3 that even if it were expressed (e.g. briefly) it would interfere with FL-NRL. The current order and spacing are somewhat confusing.

      We thank the reviewer for this suggestion and moved the description of the luciferase assays to follow the retinoblastoma and explant data and switched the order of Figure panels 3G and 3H.  

      (6) On page 15, regarding early rod vs early cone gene expression, the authors state: "although MYCN mRNA was not detected....", yet on the volcano plot in Figure S14A MYCN is one of the marked genes that is higher in cones than rods, meaning it was detected, and a couple of sentences later: "Concordantly, the LM cluster had increased MYCN RNA". The text is thus confusing.

      With respect, we note that the original text read, “although MYC RNA was not detected,” which related to a statement in the previous sentence that the gene ontology analysis identified “MYC targets.” However, given that this distinction is subtle and may be difficult for readers to recognize, we revised the text (now on p. 19) to more clearly describe expression of MYCN (but not MYC) as follows:

      “The upregulation of MYC target genes was of interest given that many MYC target genes are also targets of MYCN, that MYCN protein is highly expressed in maturing (ARR3+) cone precursors but not in NRL+ rods (Figure 10A), and that MYCN is critical to the cone precursor proliferative response to pRB loss8–10.  Indeed, whereas MYC RNA was not detected, the LM cone cluster had increased MYCN RNA …”

      (7) The authors state that the SYK drug is "highly specific". They provide no evidence, but no drug is 100% specific, and it is possible that off-target hits are important for the drug phenotype. This data should be removed or validated by co-targeting the SYK gene along with RB1.

      We agree that our data only show the potential for SYK to contribute to the cone proliferative response; however, we believe the inhibitor study retains value in that a negative result (no effect of the SYK inhibitor) would disprove its potential involvement. To reflect this, we changed wording related to this experiment as follows:

      In the Abstract, we changed:

      (1) “SYK, which contributed to the early cone precursors’ proliferative response to RB1 loss” To: “SYK, which was implicated in the early cone precursors’ proliferative response to RB1 loss.”  

      (2) “These findings reveal … and a role for early cone-precursor-intrinsic SYK expression.” To:  “These findings reveal … and suggest a role for early cone-precursor-intrinsic SYK expression.”

      In the last paragraph of the Results, we changed:

      (1) “To determine if SYK contributes…” To:  “To determine if SYK might contribute…”

      (2) “the highly specific SYK inhibitor” To:  “the selective SYK inhibitor”  

      (3)  “indicating that cone precursor intrinsic SYK activity is critical to the proliferative response” To: “consistent with the notion that cone precursor intrinsic SYK activity contributes to the proliferative response.”

      In the Results, we added a final sentence: 

      “However, given potential SYK inhibitor off-target effects, validation of the role of SYK in retinoblastoma initiation will require genetic ablation studies.”

      In the Discussion (2nd-to-last paragraph), we changed: 

      “SYK inhibition impaired pRB-depleted cone precursor cell cycle entry, implying that native SYK expression rather than de novo induction contributes to the cone precursors’ initial proliferation.” To: “…the pRB-depleted cone precursors’ sensitivity to a SYK inhibitor suggests that native SYK expression rather than de novo induction contributes to the cone precursors’ initial proliferation, although genetic ablation of SYK is needed to confirm this notion.” In the Discussion last sentence, we changed:

      “enabled the identification of developmental stage-specific cone precursor features that underlie retinoblastoma predisposition.” To: “enabled the identification of developmental stage-specific cone precursor features that are associated with the cone precursors’ predisposition to form retinoblastoma tumors.”

      Minor/Typos

      Figure 7 legend, H should be D.

      We corrected the figure legend (now related to Figure 8).

      Reviewer #2 (Recommendations for the authors):

      (1) The author should take advantage of recently published human fetal retina data, such as PMID:39117640, which includes a larger dataset of cells that could help validate the findings. Consequently, statements like "To our knowledge, this is the first indication of two immediately post-mitotic photoreceptor precursor populations with cone versus rod-biased gene expression" may need to be revised.

      We thank the reviewer for noting the evidence of distinct immediately post-mitotic rod and cone populations published by others after we submitted our manuscript. In response, we omitted the sentence mentioned and extensively cross-checked our results including:

      - comparison of our early versus late cone and rod maturation states to the cone and rod precursor versus cone and rod states identified by Zuo et al (new paragraph on the top half of p. 6 and new figure panels S3G,H);

      - detection of distinct immediately post-mitotic versus later cone and rod precursor populations (two new paragraphs on pp. 12-13 and new Figures S10B and S11A-E); 

      - identification of cone and rod precursor populations that co-express cone and rod marker genes (two new paragraphs starting at the bottom of p. 15 and new Figures S11D-F);

      - comparison of expression patterns of immature cone precursor (iCP) marker genes in our and the Zuo et al dataset (new paragraph on top half of p. 17 and new Figure S13).

      We also compare the cell states discerned in our study and the Zuo et al. study in a new Discussion paragraph (bottom of p. 23) and new Figure S17.

      (2) The data generated comes from dissociated cells, which inherently lack spatial context. Additionally, it is unclear whether the dataset represents a pool of retinas from multiple developmental stages, and if so, whether the developmental stage is known for each cell profiled. If this information is available, the authors should examine the distribution of developmental stages on the UMAP and trajectory analysis as part of the quality control process. 

      We thank the reviewer for highlighting the importance of spatial context and developmental stage. 

      Related to whether the dataset represents a pool of retinae from multiple developmental stages, the different cell numbers examined at each time point are indicated in Figure S1A. To draw the readers’ attention to this detail, Figure S1A is now cited in the first sentence of the Results. 

      Related to the age-related cell distributions in UMAP plots, the distribution of cells from each retina and age was (and is) shown in Fig. S1F. In addition, we now highlight the age distributions by segregating the FW13, FW15-17, and FW17-18-19 UMAP positions in the new Figure 1C. We describe the rod temporal changes in a new sentence at the top of  p. 5:

      “Few rods were detected at FW13, whereas both early and late rods were detected from FW15-19 (Figure 1C), corroborating prior reports [15,20].”  

      We describe the cone temporal changes and note the likely greater discrimination of cell state changes that would be afforded by separately analyzing macula versus peripheral retina at each age in a new sentence at the bottom of p. 5:

      “L/M cone precursors from different age retinae occupied different UMAP regions, suggesting age-related differences in L/M cone precursor maturation (Figure 1C).”

      Moreover, they should assess whether different developmental stages impact gene expression and isoform ratios. It is well established that cone and rod progenitors typically emerge at different developmental times and in distinct regions of the retina, with minimal physical overlap. Grouping progenitor cells based solely on their UMAP positioning may lead to an oversimplified interpretation of the data.

      (2a) We agree that different developmental stages may impact gene expression and isoform ratios, and evaluated stages primarily based on established Louvain clustering rather than UMAP position. However, we also used UMAP position to segregate so-called RPC-localized and nonRPC-localized iCPs and iRPs, as well as to characterize the bridge region iCP sub-populations. In the revision, we examine whether cell groups defined by UMAP positions helped to identify transcriptomically distinct populations and further examine the spatiotemporal gene expression patterns of the same genes in the Zuo et al. 3’ snRNA-seq dataset. 

      (2b) Related to analyses of immediately post-mitotic iRPs and iCPs, the new Figure S10A expanded the violin plots first shown in Figure 5D to compare gene expression in RPC-localized versus non-RPC-localized iCPs and iRPs and subsequent cone and rod precursor clusters (also presented in response to Reviewer 3). The new Figure S10C, shows a similar analysis of UMAP region-specific regulon activities. These figures support the idea that there are only subtle UMAP region-related differences in the expression of the selected gene and regulons. 

      To further evaluate early cone and rod precursors, we compared expression patterns in our cluster- and UMAP-defined cell groups to those of the spatiotemporally defined cell groups in the Zuo et al. 3’ snRNA-seq study. The results revealed similar expression timing of the genes examined, although the cluster assignments of a subset of cells were brought into question, especially the assigned rod precursors at pcw 10 and 13, as shown in new Figures S10B (grey columns) and S11, and as described in two new paragraphs starting near the bottom of p.12. 

      (2c) Related to analyses of iCPs in the so-called bridge region, our analyses of the Zuo et al dataset helped distinguish early cone and rod precursor populations (expressing early markers such as ATOH7 and CHRNA1) from the later stages exhibiting rod- and cone-related gene coexpression, which had intermixed in the UMAP bridge region in our dataset. Further parsing of early cone precursor marker spatiotemporal expression revealed intriguing differences as now described in the second half of a new paragraph at the top of p. 17, as follows:

      “Also, different iCP markers had different spatiotemporal expression: CHRNA1 and ATOH7 were most prominent in peripheral retina with ATOH7 strongest at pcw 10 and CHRNA1 strongest at pcw 13; CTC-378H22.2 was prominently expressed from pcw 10-13 in both the macula and the periphery; and DLL3 and ONECUT1 showed the earliest, strongest, and broadest expression (Figure S13B). The distinct patterns suggest spatiotemporally distinct roles for these factors in cone precursor differentiation.”

      (3) I would commend the authors for performing a validation experiment via RNA in situ to validate some of the findings. However, drawing conclusions from analyzing a small number of cells can still be dangerous. Furthermore, it is not entirely clear how the subclustering is done. Some cells change cell type identities in the high-resolution plot. For example, some iPRP cells from the low-resolution plots in Figure 1 are assigned as TR in high-resolution plots in Figure 5.

      The authors should provide justification on the identifies of RPC localized iPRP and TR.

      Comparison of their data with other publicly available data should strengthen their annotation

      We agree that drawing conclusions from scRNA-seq or in situ hybridization analysis of a small number of cells can be dangerous and have followed the reviewer’s suggestion to compare our data with other publicly available data, focusing on the 3’ snRNA-seq of Zuo et al. given its large size and extensive annotation. Our analysis of  the Zuo et al. dataset helped clarify cell identities by segregating cone and rod precursors with similar gene expression properties in distinct UMAP regions. However, we noted that the clustering of early cone and rod precursors likely gave numerous mis-assigned cells (as noted in response 2b above and shown in the new Figure S11). It would appear that insights may be derived from the combination of relatively shallow sequencing of a high number of cells and deep sequencing of substantially fewer cells. 

      Related to how subclustering was done, the Methods state, “A nearest-neighbors graph was constructed from the PCA embedding and clusters were identified using a Louvain algorithm at low and high resolutions (0.4 and 1.6)[70],” citing the Blondel et al reference for the Louvain clustering algorithm used in the Seurat package.  To clarify this, the results text was revised such that it now indicates the levels used to cluster at low resolution (0.4, p. 4, 2nd paragraph) and at high resolution (1.6, top of p. 11) .

      Related to the assignment of some iPRP cells from the low-resolution plots in Figure 1 to the TR cluster (now called the ‘iRP’ ‘cluster) in the high-resolution plots in Figure 5, we suggest that this is consistent with Louvain clustering, which does not follow a single dendrogram hierarchy. 

      The justification for referring to these groups as RPC-localized iCPs and iRPs relates to their biased gene and regulon expression in Fig. 5D and 5E, as stated on p. 12: 

      “In the RPC-localized region, iCPs had higher ONECUT1, THRB, and GNAT2, whereas iRPs trended towards higher NRL and NR2E3 (p= 0.19, p=0.054, respectively).”

      (4) Late-stage LM5 cluster Figure 9 is not defined anywhere in previous figures, in which LM clusters only range from 1 to 4. The inconsistency in cluster identification should be addressed.

      We revised the text related to this as follows: 

      “Indeed, our scRNA-seq analyses revealed that SYK RNA expression increased from the iCP stage through cluster LM4, in contrast to its minimal expression in rods (Figure 10E).  Moreover, SYK expression was abolished in the five-cell group with properties of late maturing cones (characterized in Figure 1E), here displayed separately from the other LM4 cells and designated LM5 (Figure 10E).”  (p. 19-20)

      (5) Syk inhibitor has been shown to be involved in RB cell survival in previous studies. The manuscript seems to abruptly make the connection between the single-cell data to RB in the last figure. The title and abstract should not distract from the bulk of the manuscript focusing on the rod and cone development, or the manuscript should make more connection to retinoblastoma.

      We appreciate the reviewer’s concern that the title may seem to over-emphasize the connection to retinoblastoma based solely on the SYK inhibitor studies. However, we suggest the title also emphasizes the identification and characterization of early human photoreceptor states, per se, and that there are a number of important connections beyond the SYK studies that could warrant the mention of cell-state-specific retinoblastoma-related features in the title.

      Most importantly, a prior concern with the cone cell-of-origin theory was that retinoblastoma cells express RNAs thought to mark retinal cell types other than cones, especially rods. The evidence presented here, that cone precursors also express the rod-related genes helps resolve this issue. The issue is noted numerous times in the manuscript, as follows:  

      In the Introduction, we write:

      “However, retinoblastoma cells also express rod lineage factor NRL RNAs, which – along with other evidence – suggested a heretofore unexplained connection between rod gene expression and retinoblastoma development[12,13]. Improved discrimination of early photoreceptor states is needed to determine if co-expression of rod- and cone-related genes is adopted during tumorigenesis or reflects the co-expression of such genes in the retinoblastoma cell of origin.” (bottom, p. 2) And: 

      “In this study, we sought to further define the transcriptomic underpinnings of human  photoreceptor development and their relationship to retinoblastoma tumorigenesis.” (last paragraph, p. 3)

      The Discussion also alluded to this issue and in the revised Discussion, we aimed to make the connection clearer.  We previously ended the 3rd-to-last paragraph with,  

      “iPRP [now iCP] and early LM cone precursors’ expression of NR2E3 and NRL RNAs suggest that their presence in retinoblastomas[12,13] reflects their normal expression in the L/M cone precursor cells of origin.” 

      We now separate and elaborate on this point in a new paragraph as follows: 

      “Our characterization of cone and rod-related RNA co-expression may help resolve questions about the retinoblastoma cell of origin. Past studies suggested that retinoblastoma cells co-express RNAs associated with rods, cones, or other retinal cells due to a loss of lineage fidelity[12]. However, the early L/M cone precursors’ expression of NR2E3 and NRL RNAs suggest that their presence in retinoblastomas[12,13] reflects their normal expression in the L/M cone precursor cells of origin. This idea is further supported by the retinoblastoma cells’ preferential expression of cone-enriched NRL transcript isoforms (Figure S5B).” (middle of p. 24) Based on the above, we elected to retain the title.  

      Minor comments:

      (1) It is difficult to see the orange and magenta colors in the Fig 3E RNA-FISH image. The colors should be changed, or the contrast threshold needs to be adjusted to make the puncta stand out more.

      We re-assigned colors, with red for FL-NRL puncta and green for Tr-NRL puncta. 

      (2) Figure 5C on page 8 should be corrected to Supplementary Figure 5C.

      We thank the reviewer for noting this error and changed the figure citation.

      Reviewer #3 (Recommendations for the authors):

      (1) Minor concerns

      a. Abbreviation of some words needs to be included, example: FW. 

      We now provide abbreviation definitions for FW and others throughout the manuscript.  

      b. Cat # does not matches with the 'key resource table' for many reagents/kits. Some examples are: CD133-PE mentioned on Page # 22 on # 71, SMART-Seq V4 Ultra Low Input RNA Kit and SMARTer Ultra Low RNA Kit for the Fluidigm C1 Sytem on Page # 22 on # 77, Nextera XT DNA Library preparation kit on Page # 23 on # 77.

      We thank the reviewer for noting these discrepancies. We have now checked all catalog numbers and made corrections as needed.

      c. Cat # and brand name of few reagents & kits is missing and not mentioned either in methods or in key resource table or both. Eg: FBS, Insulin, Glutamine, Penicillin, Streptomycin, HBSS, Quant-iT PicoGreen dsDNA assay, Nextera XT DNA LibraryPreparation Kit, 5' PCR Primer II A with CloneAmp HiFi PCR Premix. 

      Catalog numbers and brand names are now provided for the tissue culture and related reagents within the methods text and for kits in the Key Resources Table. Additional descriptions of the primers used for re-amplification and RACE were added to the Methods (p. 28-29).

      d. Spell and grammar check is needed throughout the manuscript is needed. Example. In Page # 46 RXRγlo is misspelled as RXRlo.

      Spelling and grammar checks were reviewed.

      (2) Methods & Key Resource table.

      a. In Page # 21, IRB# needs to be stated.      

      The IRB protocols have been added, now at top of p. 26.

      b. In Page # 21, Did the authors dissociate retinae in ice-cold phosphate-buffered saline or papain?   

      The relevant sentence was corrected to “dissected while submerged in ice-cold phosphatebuffered saline (PBS) and dissociated as described10.” ( p. 26)

      c. In Page # 21, How did the authors count or enumerate the cell count? Provide the details.

      We now state, “… a 10 µl volume was combined with 10 µl trypan blue and counted using a hemocytometer” (top of p. 27)

      d. Why did the authors choose to specifically use only 8 cells for cDNA preparation in Page # 22? State the reason and provide the details.

      The reasons for using 8 cells (to prevent evaporation and to manually transfer one slide-worth of droplets to one strip of PCR tubes) and additional single cell collection details are now provided as follows (new text underlined): 

      “Single cells were sorted on a BD FACSAria I at 4°C using 100 µm nozzle in single-cell mode into each of eight 1.2 µl lysis buffer droplets on parafilm-covered glass slides, with droplets positioned over pre-defined marks … .  Upon collection of eight cells per slide, droplets were transferred to individual low-retention PCR tubes (eight tubes per strip) (Bioplastics K69901, B57801) pre-cooled on ice to minimize evaporation. The process was repeated with a fresh piece of parafilm for up to 12 rounds to collect 96 cells). (p. 27, new text underlined)

      e. Key resource table does not include several resources used in this study. Example - NR2E3 antibody.

      We added the NR2E3 antibody and checked for other omissions.

      (3) Results & Figures & Figure Legends

      a. Regulon-defined RPC and photoreceptor precursor states

      i. On page # 4, 1 paragraph - Clarify the sentence 'Exclusion of all cells with <100,000 cells read and 18 cells.........Emsembl transcripts inferred'. Did the authors use 18 cells or 18FW retinae? 

      The sentence was changed to:

      “After sequencing, we excluded all cells with <100,000 read counts and 18 cells expressing one or more markers of retinal ganglion, amacrine, and/or horizontal cells (POU4F1, POU4F2, POU4F3, TFAP2A, TFAP2B, ISL1) and concurrently lacking photoreceptor lineage marker OTX2. This yielded 794 single cells with averages of 3,750,417 uniquely aligned reads, 8,278 genes detected, and 20,343 Ensembl transcripts inferred (Figure S1A-C).” (p. 4, new words underlined)

      To clarify that 18 retinae were used, the first sentence of the Results was revised as follows:

      “To interrogate transcriptomic changes during human photoreceptor development, dissociated RPCs and photoreceptor precursors were FACS-enriched from 18 retinae, ages FW13-19 …” (p. 4).

      Why did the authors 'exclude cells lacking photoreceptor lineage marker OTX2' from analysis especially when the purpose here was to choose photoreceptor precursor states & further results in the next paragraph clearly state that 5 clusters were comprised of cells with OTX2 and CRX expression. This is confusing.

      We apologize for the imprecise diction. We divided the evidently confusing sentence into two sentences to more clearly indicate that we removed cells that did not express OTX2, as in the first response to the previous question.

      ii. In Page # 5, the authors reported the number of cell populations (363 large and 5 distal) identified in the THRB+ L/M-cone cluster. What were the # of cell populations identified in the remaining 5 clusters of the UMAP space?

      We added the cell numbers in each group to Fig. 1B. We corrected the large LM group to 366 cells (p. 5) and note 371 LM cells , which includes the five distal cells, in Figure 1B.

      b. Differential expression of NRL and THRB isoforms in rod and cone precursors

      i. In Figure 3B, the authors compare and show the presence of 5 different NRL isoforms for all the 6 clusters that were defined in 3A. However, in the results, the ENST# of just 2 highly assigned transcript isoforms is given. What are the annotated names of the three other isoforms which are shown in 3B? Please explain in the Results.

      As requested, we now annotate the remaining isoforms as encoding full-length or truncated NRL in Fig. 3B and show isoform structures in new Supplementary Figure S4B.  We also refer to each transcript isoform in the Results (p. 7, last paragraph) and similarly evaluate all isoforms in RB31 cells (Fig. S5B).

      ii. What does the Mean FPM in the y-axis of Fig 3C refer to?

      Mean FPM represents mean read counts (fragments per million, FPM) for each position across Ensembl NRL exons for each cluster, as now stated in the 6th line of the Fig. 3 legend.

      iii. A clear explanation of the results for Figures 3E-3F is missing.

      We revised the text to more clearly describe the experiment as follows:

      “The cone cells’ higher proportional expression of Tr-NRL first exon sequences was validated by RNA fluorescence in situ hybridization (FISH) of FW16 fetal retina in which NRL immunofluorescence was used to identify rod precursors, RXRg immunofluorescence was used to identify cone precursors, and FISH probes specific to truncated Tr-NRL exon 1T or FL-NRL exons 1 and 2 were used to assess Tr-NRL and FL-NRL expression (Figure 3E,F).” (p. 8, new text underlined).

      c. Two post-mitotic photoreceptor precursor populations

      i. Although deep-sequencing and SCENIC analysis clarified the identities of four RPC-localized clusters as MG, RPC, and iPRP indicative of cone-bias and TR indicative of rod-bias. It would be interesting to see the discriminating determinant between the TR and ER by SCENIC and deep-sequencing gene expression violin/box plots.

      We agree it is of interest to see the discriminating determinant between the TR [now termed iRP] and ER clusters by SCENIC and deep-sequencing gene expression violin/box plots. We now provide this information for selected genes and regulons of interest in the new Supplementary Figures S10A and S10C, along with a similar comparison between the prior high-resolution iPRP (now termed iCP) cluster and the first high-resolution LM cluster, LM1, as described for gene expression on p. 12:

      “Notably, THRB and GNAT2 expression did not significantly change while ONECUT1 declined in the subsequent non-RPC-localized iCP and LM1 stages, whereas NR2E3 and NRL dramatically increased on transitioning to the ER state (Figure S10A).”

      And as described for regulon activities on pp. 13-14:

      “Finally, activities of the cone-specific THRB and ISL2 regulons, the rod-specific NRL regulon, and the pan-photoreceptor LHX3, OTX2, CRX, and NEUROD1 regulons increased to varying extents on transitioning from the immature iCP or iRP states to the early-maturing LM1 or ER states (Figure 10C).”

      We also show expression of the same genes for spatiotemporally grouped cells from the Zuo et al. dataset in the new Figure S10B, which displays a similar pattern (apart from the possibly mixed pcw 10 and pcw13 designated rod precursors).

      d. Early cone precursors with cone- and rod-related RNA expression

      i. On page #12, the last paragraph where the authors explain the multiplex RNA FISH results of RXRγ and NR2E3 by citing Figure S8E. However, in Fig S8E, the authors used NRL to identify the rods. Please clarify which one of the rod markers was used to perform RNA FISH?

      Figure S8E (where NRL was used as a rod marker) was cited to remind readers that RXRg has low expression in rods and high expression in cones, rather than to describe the results of this multiplex FISH section. To avoid confusion on this point, Figure S8E is now cited using “(as earlier shown in Figure S8E).” With this issue clarified, we expect the markers used in the FISH + IF analysis will be clear from the revised explanation, 

      “… we examined GNAT2 and NR2E3 RNA co-expression in RXRg+ cone precursors in the outermost NBL and in RXRg+ rod precursors in the middle NBL … .” (p. 14-15).

      To provide further clarity, we provide a diagram of the FISH probes, protein markers, and expression patterns in the new Figure 7E.

      ii. The Y-axis of Fig 6G-6H needs to be labelled.

      The axes have been re-labeled from “Nb of cells” to “Number of RXRg+ outermost NBL cells in each region” (original Fig. 6G, now Fig. 7C) and “Number of RXRg+ middle NBL cells in each region” (original Fig. 6H, now Fig. 7D).

      iii. The legends of Figures 6G and 6H are unclear. In the Figure 6G legend, the authors indicate 'all cells are NR2E3 protein-'. Does that imply the yellow and green bars alone? Similarly, clarify the Figure 6H legend, what does the dark and light magenta refer to? What does the light magenta color referring to NR2E3+/ NR2E3- and the dark magenta color referring to NR2E3+/ NR2E3+ indicate? 

      We regret the insufficient clarity. We revised the Fig. 6G (now Fig. 7C) key, which now reads

      “All outermost NBL cells are NR2E3 protein-negative.”  We added to the figure legend for panel 7C,D “(n.b., italics are used for RNAs, non-italics for proteins).”  The new scheme in Figure 7E shows the RNAs in italics proteins in non-italics. We hope these changes will clarify when RNA or protein are represented in each histogram category.

      Overall, the results (on page # 13) reflecting Figures 6E-6H & Figure S11 are confusing and difficult to understand. Clear descriptions and explanations are needed.

      We revised this results section described in the paragraph now spanning p. 14:

      -  We now refer to the bar colors in Figures 7C and 7D that support each statement. 

      -  We provide an illustration of the findings in Figure 7E.

      iv. Previously published literature has shown that cells of the inner NBL are RXRγ+ ganglion cells. So, how were these RXRγ+ ganglion cells in the inner NBL discriminated during multiplex RNA FISH (in Fig 6E-6H and in Fig S11)?

      We thank the reviewer for requesting this clarification. We agree that “inner NBL” is the incorrect term for the region in which we examined RXRg+ photoreceptor precursors, as this could include RXRγ+ nascent RGCs. We now clarify that 

      “we examined GNAT2 and NR2E3 RNA co-expression in RXRg+ cone precursors in the outermost NBL and in RXRg+ rod precursors in the middle NBL … .”  (p. 14-15) We further state, 

      “Limiting our analysis to the outer and middle NBL allowed us to disregard RXRγ+ retinal ganglion cells in the retinal ganglion cell layer or inner NBL (top of p. 15)”

      Figure 7E is provided to further aid the reader in understanding the positions examined, and the legend states “RXRg+ retinal ganglion cells in the inner NBL and ganglion cell layer not shown. 

      v. In Figure 6E, what marker does each color cell correspond to?

      In this figure (now panel 7A), we declined to provide the color key since the image is not sufficiently enlarged to visualize the IF and FISH signals. The figure is provided solely to document the regions analyzed and readers are now referred to “see Figure S12 for IF + FISH images” (2nd line, p. 15), where the marker colors are indicated.

      vi. In Figure S11 & 6E, Protein and RNA transcript color of NR2E3, GNAT2 are hard to distinguish. Usage of other colors is recommended.  

      We appreciate the reviewer’s concern related to the colors (in the now redesignated Figure S12 and 7A); however, we feel this issue is largely mitigated by our use of arrows to point to the cells needed to illustrate the proposed concepts in Figure S12B. All quantitation was performed by examining each color channel separately to ensure correct attribution, which is now mentioned in the Methods (2nd-to-last line of Quantitation of FISH section, p. 35).

      vii. 

      With due respect, we suggest that labeling each box (now in Figure 8B) makes the figure rather busy and difficult to infer the main point, which is that boxed regions were examined at various distanced from the center (denoted by the “C” and “0 mm”) with distances periodically indicated. We suggest the addition of such markers would not improve and might worsen the figure for most readers.    

      e. An early L/M cone trajectory marked by successive lncRNA expression

      i. In Figure 8C - color-coded labelling of LM1-4 clusters is recommended.

      We note Fig. 8C (now 9C) is intended to use color to display the pseudotemporal positions of each cell. We recognize that an additional plot with the pseudotime line imposed on LM subcluster colors could provide some insights, yet we are unaware of available software for this and are unable to develop such software at present. To enable readers to obtain a visual impression of the pseudotime vs subcluster positions, we now refer the reader to Figure 5A in the revised figure legend, as follows:  (“The pseudotime trajectory may be related to LM1-LM4 subcluster distributions in Figure 5A.”).

      ii. In Figure 8G - what does the horizontal color-coded bar below the lncRNAs name refer to? These bars are similar in all four graphs of the 8G figure.

      As stated in the Fig. 8G (now 9G) legend, “Colored bars mark lncRNA expression regions as described in the text.”  We revised the text to more clearly identify the color code. (p. 18-19)   

      f. Cone intrinsic SYK contributions to the proliferative response to pRB loss

      i. In Fig 9F - The expression of ARR3+ cells (indicated by the green arrow in FW18) is poorly or rarely seen in the peripheral retina.

      We thank the reviewer for finding this oversight. In panel 9F (now 10F), we removed the green arrows from the cells in the periphery, which are ARR3- due to the immaturity of cones in this region. 

      ii. In Figure 9F - Did the authors stain the FW16 retina with ARR3?

      Unfortunately, we did not stain the FW16 retina for ARR3 in this instance.

      iii. Inclusion of DAPI staining for Fig 9F is recommended to justify the ONL & INL in the images.

      We regret that we are unable to merge the DAPI in this instance due to the way in which the original staining was imaged.  A more detailed analysis corroborating and extending the current results is in progress. 

      iv. Immunostaining images for Figure 9G are missing & are required to be included. What does shSCR in Fig 9G refer to?

      We now provide representative immunostaining images below the panel (now 10G). The legend was updated: “Bottom: Example of Ki67, YFP, and RXRg co-immunostaining with DAPI+ nuclei (yellow outlines). Arrows: Ki67+, YFP+, RXRg+ nuclei.”  The revised legend now notes that shSCR refers to the scrambled control shRNA.

      v. For Figure 9H - Is the presence and loss of SYK activity consistent with all the subpopulations (S & LM) of early maturing and matured cones?

      We appreciate the reviewer’s question and interest (relating to the redesignated Figure 10H); however, we have not yet completed a comprehensive evaluation of SYK expression in all the subpopulations (S & LM) of early maturing and matured cones and will reserve such data for a subsequent study. We suggest that this information is not critical to the study’s major conclusions.

      vi. Figure 9A is not explained in the results. Why were MYCN proteins assessed along with ARR3 and NRL? What does this imply?

      We thank the reviewer for noting that this figure (now Figure 10A) was not clearly described. 

      As per the response to Reviewer 1, point 6 , the text now states,  

      “The upregulation of MYC target genes was of interest given that many MYC target genes are also MYCN targets, that MYCN protein is highly expressed in maturing (ARR3+) cone precursors but not in NRL+ rods (Figure 10A), and that MYCN is critical to the cone precursor proliferative response to pRB loss [8–10].” (middle, p. 19, new text underlined).

      Hence, the figure demonstrates the cone cell specificity of high MYCN protein.  This is further noted in the Fig. 10a legend: “A. Immunofluorescent staining shows high MYCN in ARR3+ cones but not in NRL+ rods in FW18 retina.”

    1. Reviewer #2 (Public review):

      Summary:

      This is the first study to show how a L-R bias in the relationship between numerical magnitude and space depends on brain lateralisation, and moreover, how is modulated by in ovo conditions.

      Strengths:

      Novel methodology for investigating the innateness and neural basis of an L-R bias in the relationship between number and space.

      Weaknesses:

      I would query the way the experiment was contextualised. They ask whether culture or innate pre-wiring determines the 'left-to-right orientation of the MNL [mental number line]'.

      The term, 'Mental Number Line' is an inference from experimental tasks. One of the first experimental demonstrations of a preference or bias for small numbers in the left of space and larger numbers in the right of space, was more carefully described as the spatial-numerical association of response codes - the SNARC effect (Dehaene, S., Bossini, S., & Giraux, P. (1993). The mental representation of parity and numerical magnitude. Journal of Experimental Psychology: General, 122, 371-396).

      This has meant that the background to the study is confusing. First, the authors note, correctly, that many other creatures, including insects, can show this bias, though in none of these has neural lateralisation been shown to be a cause. Second, their clever experiment shows that an experimental manipulation creates the bias. If it were innate and common to other species, the experimental manipulation shouldn't matter. There would always be an L-R bias. Third, they seem to be asserting that humans have a left-to-right (L-R) MNL. This is highly contentious, and in some studies, reading direction affects it, as the original study by Dehaene et al showed; and in others, task affects direction (e.g. Bachtold, D., Baumüller, M., & Brugger, P. (1998). Stimulus-response compatibility in representational space. Neuropsychologia, 36, 731-735, not cited). Moreover, a very careful study of adult humans, found no L-R bias (Karolis, V., Iuculano, T., & Butterworth, B. (2011), not cited, Mapping numerical magnitudes along the right lines: Differentiating between scale and bias. Journal of Experimental Psychology: General, 140(4), 693-706). Indeed, Rugani et al claim, incorrectly, that the L-R bias was first reported by Galton in 1880. There are two errors here: first, Galton was reporting what he called 'visualised numerals', which are typically referred to now as 'number forms' - spontaneous and habitual conscious visual representations - not an inference from a number line task. Second, Galton reported right-to-left, circular, and vertical visualised numerals, and no simple left-to-right examples (Galton, F. (1880). Visualised numerals. Nature, 21, 252-256.). So in fact did Bertillon, J. (1880). De la vision des nombres. La Nature, 378, 196-198, and more recently Seron, X., Pesenti, M., Noël, M.-P., Deloche, G., & Cornet, J.-A. (1992). Images of numbers, or "When 98 is upper left and 6 sky blue". Cognition, 44, 159-196, and Tang, J., Ward, J., & Butterworth, B. (2008). Number forms in the brain. Journal of Cognitive Neuroscience, 20(9), 1547-1556.

      If the authors are committed to chicks' MN Line they should test a series of numbers showing that the bias to the left is greater for 2 and 3 than for 4, etc.

      What does all this mean? I think that the paper should be shorn of its misleading contextualisation, including the term 'Mental Number Line'. The authors also speculate, usefully, on why chicks and other species might have a L-R bias. I don't think the speculations are convincing, but at least if there is an evolutionary basis for the bias, it should at least be discussed.

      This paper is very interesting with its focus on why the L-R bias exists, and where and why it does not.