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    1. Reviewer #1 (Public Review):

      There are very few studies on the spatial integration of color signals of V1 receptive fields, which is a striking gap in knowledge given the importance of color to primate vision and the powerfulness that spatial analysis of luminance contrast integration has proven for understanding how V1 works. This paper helps fill this major gap in knowledge. The main take home is that double opponent cells and simple cells are more likely to be linear in how they integrate signals across their receptive fields than a sample of non-double-opponent/non-simple cells. This conclusion is consistent with the limited data presently in the literature, and I wonder if further analysis of the rich dataset could uncover some deeper insights.

    1. Reviewer #1 (Public Review):

      The phase of a signal (similar to its amplitude) is a significant and informative feature that helps for a better representation of time-series data. In Neuroscience, and in the context of neural oscillations, the phase of neural signals (for example EEG and LFP) plays an important role in understanding mechanisms underlying brain rhythms. The author of this paper proposed a novel approach to track the phase of neural signals in real-time. This approach is inspired by [Matsuda and Komaki, 2017] and employs the well-known state-space modeling framework. Using several synthetic data, it was shown that the proposed approach outperforms other methods in the literature which are based on band-pass filtering (not appropriate for broadband rhythms). The simulation studies were designed to demonstrate the strength of the state-space phase estimation approach vs. two recent methods in the context of common confounds such as broadband rhythms, phase resets, and co-occurring rhythms. As well, the state-space phase estimator was applied to in-vivo data including two datasets: (1) rodent LFP and (2) human EEG. Furthermore, the authors made their proposed method available online in the form of MATLAB code as well as a ready-to-use plug-in for the OpenEphys acquisition system. This effort is very much appreciated as it provides the code available for further theoretical and experimental studies.

      While the proposed method is very novel and timely, it would be helpful for the authors to: (i) consider the impact of noise in the phase estimation, (ii) describe specifications of the Kalman filter and its robustness, and (iii) consider the performance of the estimated phase relative to other methods.

    1. Reviewer #1 (Public Review):

      The work by Fujimori et al. addresses the role of downstream WNT signaling in thymus epithelial cell (TEC) differentiation and function. A TEC-specific beta5t-cre driver allowed for the generation of gain of function (GoF) or loss of function (LoF) mouse models. The specificity of the beta5t-cre driver system was key in allowing the authors to focus on TEC effects. Of note, the LoF of beta-catenin showed a smaller thymus with fewer cortical TEC, but generally no changes in the thymus morphology or in the ability to support normal percentages of thymocyte subsets. These results clearly establish that WNT signaling plays a minor role in TEC differentiation and function. Nevertheless, the GoF approach led to thymus dysplasia with a loss of TEC identity, due to a loss of FOXN1 expression, as well as a failure to support T cell development. These results point to a role for WNT signaling in inducing the TEC differentiation into other non-T-cell-development-supporting epithelial subsets.

    1. Reviewer #1 (Public Review):

      This is an excellent manuscript in which Bartel and colleagues use an abundance of approaches to provide compelling evidence relevant to the coupling between poly(A)-tail length and translational efficiency. Without reiterating the results, the data are convincing and the paper is clearly written. Any concerns are too trivial to articulate.

    1. Reviewer #1 (Public Review):

      Strengths:

      1) The model structure is appropriate for the scientific question.

      2) The paper addresses a critical feature of SARS-CoV-2 epidemiology which is its much higher prevalence in Hispanic or Latino and Black populations. In this sense, the paper has the potential to serve as a tool to enhance social justice.

      3) Generally speaking, the analysis supports the conclusions.

      Other considerations:

      1) The clean distinction between susceptibility and exposure models described in the paper is conceptually useful but is unlikely to capture reality. Rather, susceptibility to infection is likely to vary more by age whereas exposure is more likely to vary by ethnic group / race. While age cohort are not explicitly distinguished in the model, the authors would do well to at least vary susceptibility across ethnic groups according to different age cohort structure within these groups. This would allow a more precise estimate of the true effect of variability in exposures. Alternatively, this could be mentioned as a limitation of the the current model.

      2) I appreciated that the authors maintained an agnostic stance on the actual value of HIT (across the population & within ethnic groups) based on the results of their model. If there was available data, then it might be possible to arrive at a slightly more precise estimate by fitting the model to serial incidence data (particularly sorted by ethnic group) over time in NYC & Long Island. First, this would give some sense of R_effective. Second, if successive waves were modeled, then the shift in relative incidence & CI among these groups that is predicted in Figure 3 & Sup fig 8 may be observed in the actual data (this fits anecdotally with what I have seen in several states). Third, it may (or may not) be possible to estimate values of critical model parameters such as epsilon. It would be helpful to mention this as possible future work with the model.

      Caveats about the impossibility of truly measuring HIT would still apply (due to new variants, shifting use & effective of NPIs, etc....). However, as is, the estimates of possible values for HIT are so wide as to make the underlying data used to train the model almost irrelevant. This makes the potential to leverage the model for policy decisions more limited.

      3) I think the range of R0 in the figures should be extended to go as as low as 1. Much of the pandemic in the US has been defined by local Re that varies between 0.8 & 1.2 (likely based on shifts in the degree of social distancing). I therefore think lower HIT thresholds should be considered and it would be nice to know how the extent of assortative mixing effects estimates at these lower R_e values.

      4) line 274: I feel like this point needs to be considered in much more detail, either with a thoughtful discussion or with even with some simple additions to the model. How should these results make policy makers consider race and ethnicity when thinking about the key issues in the field right now such as vaccine allocation, masking, and new variants. I think to achieve the maximal impact, the authors should be very specific about how model results could impact policy making, and how we might lower the tragic discrepancies associated with COVID. If the model / data is insufficient for this purpose at this stage, then what type of data could be gathered that would allow more precise and targeted policy interventions?

      Minor issues:

      -This is subjective but I found the words "active" and "high activity" to describe increases in contacts per day to be confusing. I would just say more contacts per day. It might help to change "contacts" to "exposure contacts" to emphasize that not all contacts are high risk.

      -The abstract has too much jargon for a generalist journal. I would avoid words like "proportionate mixing" & "assortative" which are very unique to modeling of infectious diseases unless they are first defined in very basic language.

      -I would cite some of the STD models which have used similar matrices to capture assortative mixing.

      -Lines 164-5: very good point but I would add that members of ethnic / racial groups are more likely to be essential workers and also to live in multigenerational houses

      -Line 193: "Higher than expected" -> expected by who?

      -A limitation that needs further mention is that fact that race & ethnic group, while important, could be sub classified into strata that inform risk even more (such as SES, job type etc....)

    1. Reviewer #1 (Public Review):

      The gist of this work is that the simple concept of a solubility product determines a threshold for phase separation, thereby enabling buffering even in systems where phase separation is driven by heterotypic interactions. The solubility product or SP is determined by the number of complementary interaction sites and the coordination number i.e., the number of bonds one can make per site.

      The work appears to be motivated by two questions: Are concentrations buffered in systems where heterotypic interactions drive phase separation thereby negating the presence of a rigorously definable saturation concentration? This question was motivated by work from Klosin et al., showing how phase separation can enable buffering of noise in transcription. They relied on the concept of a saturation concentration. In a paper that followed a few months after, Riback et al., showed that the concept of a saturation concentration ceases to exist, as defined for systems where phase separation is driven purely by homotypic interactions. This was taken to imply that the formation of multicomponent condensates via a blend of homotypic and heterotypic interactions causes a loss of buffering capacity afforded by phase separation. The second question motivating the current work is the apparent absence of a theoretical framework for "varying threshold concentrations" in systems governed by heterotypic interactions.

      Using two flavors of simulations, the authors propose that the SP sets an upper limit on the convolution of concentrations that determine phase separation. They show this via simulations where they follow the formation of clusters formed by linear multivalent macromolecules and monitor the emergence of a bimodal distribution of clusters. In 1:1 mixtures of multivalent macromolecules they find that SP sets a threshold beyond which a bimodal distribution of clusters emerges. The authors further find that SP sets an upper limit even in systems that deviate from the 1:1 stoichiometry.

      The authors proceed to show that the SP is influenced by the valence of multivalent macromolecules. They also demonstrate that short rigid linkers can cause an arrest of phase separation through a so-called "dimer trap" reminiscent of the "magic number" postulate put forth by Wingreen and colleagues.

      Is the work significant, novel, and timely? Effectively the authors propose that the driving forces for phase separation can be distilled down to the concept of a solubility product. Given prior knowledge of the valence, coordination number, and affinities can one predict concentration thresholds for phase separation? The authors suggest that this can be gleaned from either network based simulations, which are very inexpensive, or through more elaborate simulations. They further propose that it is the solubility product that sets the threshold.

      It is worth noting that the authors are quantifying what is known in the physical literature as a percolation threshold. The seminal work of Flory and Stockmayer dating back to the 1940s showed how one can calculate a percolation threshold by taking in prior knowledge of valence, coordination numbers, and affinities whilst ignoring cooperativity. These ideas have been refined and advanced in several theoretical contributions by various labs. While none of the papers in the physical literature use the concept of a solubility product, they rely on the concept of a percolation threshold because the transition to large, system-spanning clusters is a continuous one and it is debatable if this is a bona fide phase transition. Rather it is a topological transition.

      As for novelty, unfortunately the authors disregard prior work that showed how linker length impacts local vs. global cooperativity in phase transitions that combine phase separation and percolation. Ref. 23 is the work in question and it is mentioned in passing, even though the contributions here are entirely a redux.

      The concept of a solubility product, introduced here to model / understand phase behavior of multivalent macromolecules, is an interesting and potentially appealing simple description. It might make the understanding of phase transitions more accessible, but it has problems: (a) it does not define phase separation; rather it defines percolation transitions; (b) without prior knowledge of the relevant quantities, the solubility product cannot be readily inferred, even from simulations, although one can scan parameter space to arrive at predictions regarding the apparent valence and coordination numbers. (c) the solubility product does not tell us much about properties of condensates, interfaces, or the driving forces for phase transitions that are influenced by the collective effects of interaction domains / motifs and spacers.

      Finally, as for the absence of a theoretical explanation for the apparent loss of buffering in systems with heterotypic interactions, the authors would do well to see the work of Choi et al., published in PLoS Comput. Biol. in 2019. Figure 12 in that work clearly establishes that the concentrations of A and B species in the coexisting dilute phase are set by the slopes of tie lines - the lines of constant chemical potential. These slopes are set by the relative strengths of homotypic vs. heterotypic interactions, and to zeroth order, that is the physical explanation.

      Overall, the two interesting observations are that the percolation threshold can be cast as a solubility product and that this product sets an upper limit on joint concentration thresholds for phase separation, even in systems with heterotypic interactions, thereby rescuing the concept of buffering.

    1. Reviewer #1 (Public Review):

      The authors aimed to develop cell-permeable small molecule probes that can monitor the activity of SARM1, an enzyme that hydrolyzes NAD+ and is thought to be important for axon degeneration. They successfully achieved this goal using the base exchange activity of SARM1 to make a donor-π-acceptor type of fluorophore. The best probe described in the manuscript is PC6. A number of experiments were carried to rigorously test that the probe works as expected. PC6 has a number of nice features. It is cell permeable, gives much stronger signal than any other probes known for SARM1, is specific for SARM1 and does not detect the activity of CD38 (another enzyme that has similar activity), and allows detection of endogenous SARM1 activation in neurons.

      Using this probe PC6, the authors was able to monitor SARM1 activity in neurons treated with vincristine and demonstrated that SARM1 activation precedes axon degeneration and is important but not sufficient for axon degeneration. Most importantly, using this probe to monitor SARM activity, they screened a library of about 2000 drug molecules and discovered that a hypertension drug, nisoldipine, could inhibits SARM1. Surprisingly, further studies showed that a derivative of nisoldipine, dehydronitrosonisoldipine (dHNN, present in the nisoldipine compound used ), is actually the inhibitor of SARM1. They then carried nice mechanistic studies (including mass spectrometry and cryo-EM structures) showing that dHNN inhibits SARM1 by covalently modify Cys311 residue in the ARM domain. The dHNN binding site is similar to the previously established NAD+ inhibitory site.

      Overall, the probe is novel with many useful features, the study is rigorous and rather complete, and the conclusion is well supported. I believe the study will be important for the field and will be well received by the field.

      The only minor thing is that the writing can be further improved, especially in the introduction section.

    1. Reviewer #1 (Public Review):

      This is a very well written and comprehensive paper that is a valuable contribution to the literature of childhood cancers. It shows that some childhood cancers have an inherited component and the risk could be to the mother or to the siblings. Although the relative risks are significant, childhood cancer is fortunately rare and the actual risk to the siblings is small.

      Can we assume this is less than one percent? i think it would be helpful to provide some absolute risk numbers for the siblings so that parents could be reassured that the risk to other children is small.

      Do the authors have a suggestion on what genetic tests should be done on children with cancer? Do you have recommendations to make? i assume that the authors do not recommend screening of siblings for cancer except in rare cases. It would be useful to see what the authors recommend.

      Are there some sites where the risk to siblings is there but not to parents which might suggest recessive inheritance?

      If the childhood cancer is rare and fatal one might not see it in the parents because of loss or reproductive fitness. Please comment.

      Should we assume that the higher risks for Latino children are purely due to genetic influences? Could there be environmental factors at play as well?

    1. Reviewer #1 (Public Review):

      This Research Advance builds on the findings of this group's 2019 eLife paper which showed that conserved acidic and basic helices associate to enable heteropolymer formation by Snf7 and Vps24. This work provides some general structure/sequence relationships among the homologous ESCRT-III proteins that will be of interest to those in the ESCRT field. While there are no new mechanistic principles obtained from this study, the data allow the authors to propose a model of the minimal or core units needed for ESCRT-III membrane remodeling.

      The focus is largely on similarities and differences between the closely related Vps24 and Vps2, where they show that a few key point mutations or chimeric swaps (for Vps4 binding by the C-terminal region of Vps2) can exchange their functions. The last portion of the paper further tests similarities within the subgroups of ESCRT-III proteins to experimentally test functional groupings defined by sequence relationships.

    1. Reviewer #1 (Public Review):

      This study investigates roles of DA modulation in projection neuron ensembles in DA-intact mice and Parkinson's disease mouse model using two-photon calcium imaging of direct and indirect SPNs (dSPNs and iSPNs) simultaneously in head-fixed mice locomoting on a freely rotating or motorized circular treadmill. The study begins with careful validation efforts related to their particular imaging conditions and reporter usage. Major findings are: 1) In DA-intact mice, they found that reducing DA receptor signaling by administration of D1/2R antagonists increased iSPN ensemble size (fraction of imaged iSPN active during locomotion) and decreased dSPNs ensemble size, resulting in an imbalance of striatal outputs in favor of indirect pathway. Consistently, elevating DA receptor signaling by D1/2R agonists yielded a dose-dependent imbalance in favor of direct pathway. Interestingly, at one intermediate dose of D1/2R gonists, iSPN ensemble size remained unchanged while dSPN ensemble size increased, whereas at higher doses, both iSPN and dSPN ensemble sizes shrunk. They also showed that reward-induced and nomifensine-induced DA increase recapitulated the low and high dose effects of DA on SPNs, respectively. 2) In dopamine-depleted Parkinson's disease mouse model, the authors found that 6-hydroxydopamine (6-OHDA) treatment reduced dSPNs ensemble size acutely (within 24h) and chronically (after 30 days) and increased iSPNs ensemble size acutely. However, the active iSPN ensembles returned to pre-lesion levels within one week. Overall, ablation of SNc DA neurons biased the striatum output toward indirect pathway. Lastly, they evaluated the influence of L-DOPA on SPN ensembles in DA-depleted mice and found that l-DOPA increased the dSPNs ensembles by 10 fold and reduced the iSPN ensembles to below pre-ablation levels, resulting in strong bias toward direct pathway, a finding they suggest may relate to levodopa-induced dyskinesias. Together, this study introduces data to support the concept that SPN "ensemble size" may be relevant for long-standing pathway balance ideas concerning striatal circuitry in the control of normal movement and its demise in PD.

    1. Reviewer #1 (Public Review):

      The authors sought to assess the relationship between developmental lineage and connectivity.

      This is a tour de force. It relies on detailed EM reconstructions, knowledge of complete neuroblast lineages thus correlating wiring with lineage, and through genetic manipulations of N gene function correlates developmental programs with wiring. The conclusion is important and provides a well described cellular and genetic system for linking the developmental program of a cell to its connection specificity. It provides a framework for considering how to study these questions in other regions of Drosophila and can be extended to the study of more complex mammalian systems where a similar neuroblast-lineage strategy generates different neuron types.

      There are no major weakness.

      This is an excellent study and, in my opinion, is ready to publish in its current form.

    1. Reviewer #1 (Public Review):

      In this manuscript the authors show that a designer exon containing a Fluorescent Protein insert can be used to edit vertebrate genes using an NHEJ based repair mechanism. The approach utilizes CRISPR to generate DSBs in intronic sequences of a target gene along with excision of a donor fragment from a co-transfected plasmid to initiate insertion of the exon cassette by ligation into the chromosome DSB.

      I like the idea here of inserting FP sequences (and other tags) into introns in this way. Focusing on the N- and C-termini for insertions has always seemed arbitrary to me. In practice these internal sites may even tolerate tag insertions better than the termini. However, this remains to be seen.

      My major reservation with this study is that the concepts here are not particularly novel. The approach is very similar to a concept already well established in gene-therapy circles of using introns as targets for inserting a super-exon preceded by a splice acceptor to correct inborn genetic lesions. The methodology employed is essentially HITI (https://www.nature.com/articles/nature20565).

      What is new is the finding that FP insertions are frequently expressed and at least partly functional as evidenced by their ability to localize to the expected intracellular structures. However, no actual functional data is provided in this study so it remains to be seen how frequently the insertion of FP exons is tolerated. It would help the study substantilly to have functional information for a few insertions.

      The value and utility of this study hinges on whether insertions of this type frequently retain function. The authors speculate that "labeling at an internal site of a gene is feasible as long as the insertion does not disrupt the function of the encoded protein. Many introns reside at the junctions of functional domains because introns have evolved in part to facilitate functional domain exchanges (Kaessmann et al., 2002; Patthy, 1999)." Thus an analysis of how often intron tags are tolerated as homozygotes would be helpful for users who will worry that a potentially "quick and dirty" CRISPIE insertion might not accurately report on the function and localization of their protein of interest.

      Other comments:

      1) Were homozygotes identified and were they viable in each instance?

      2) You say: "The CRISPIE method should be broadly applicable for use with different FPs or with other functional domains, different protein targets, and different animal species." I don't know if you optimized your FP to avoid potential reverse strand splice acceptors, but some discussion of this important point should be made so that those trying to apply the approach will make sure that strong acceptors are not included accidentally in reverse oriented inserts.

      3) Would your mRNA sequencing methodologies detect defective transcripts where the splice acceptor and a portion of the upstream FP exon was inserted causing a frame shifted and mispliced mRNA? Such mRNAs would be unstable due to NMD and thus not detected readily in a PCR based approach. Thus disruption of the mRNA by partial insertion of your donor (or fragments of the other co-injected DNA) might be much more widespread than is measured here. This could be tested by recovering clones that partially inserted the donor in the forward orientation and carefully monitoring for defects in mRNA splicing of the inserted allele. Were such clones detected and how frequently?

      4) You note that in the case of vinculin the coding sequence of the last exon of hVCL was included in the insertion donor sequence, and a stop codon was introduced at the end of the mEGFP coding sequence. This is essentially the strategy for super-exon insertion into targets for gene therapy, instead of a splice donor on the C-terminus you include a stop codon. You should site these previous studies. Inclusion of a stop codon in frame would be expected to cause NMD, did you also include transcription termination signals?

    1. Reviewer #1 (Public Review):

      In this manuscript Lituma et al. provides compelling evidence demonstrating the physiological role of presynaptic NMDA receptors at mossy fiber synapses. The existence of these receptors on the presynaptic site at this synapse was suggested more than 20 years ago based on morphological data, but their functional role was only shown in a single abstract since then (Alle, H., and Geiger, J. R. (2005)). The current manuscript uses a wide variety of complementary technical approaches to show how presynaptic NMDA receptors contribute to shaping neurotransmitter release at this synapse. They show that presynaptic NMDA receptors enhance short-term plasticity and contribute to presynaptic calcium rise in the terminal. The authors use immunocytochemistry, electrophysiology, two-photon calcium imaging, and uncaging to build a very solid case to show that these receptors play a role at synaptic communication at mossy fiber synapses. The authors conclusions are supported by the experimental data provided.

      The study is built on a solid and logical experimental plan, the data is high quality. However, the authors would need to provide stronger evidence to demonstrate the physiological function of these receptors. It is hard to reconcile these experimental conditions with the authors' claim in the abstract: 'Here, we report that presynaptic NMDA receptors (preNMDARs) at hippocampal mossy fiber boutons can be activated by physiologically relevant patterns of activity'. We know that extracellular calcium can have a very significant impact of neurotransmitter release and how short-term plasticity is shaped. For this reason, it would be important to explore how the activity of these receptors at more physiological calcium concentrations contribute to calcium entry and short-term plasticity at these synapses.

    1. (

      Ar. starts by pointing to the importance of voluntary action as a necessary component for either a person to praise or blame another's actions or character.

      1109b30 -1110a1 Since, then, excellence ...forcible correction.

    1. RRID:ZFIN_ZDB-GENO-090729-1

      DOI: 10.1016/j.immuni.2020.10.007

      Resource: (ZFIN Cat# ZDB-GENO-090729-1,RRID:ZFIN_ZDB-GENO-090729-1)

      Curator: @scibot

      SciCrunch record: RRID:ZFIN_ZDB-GENO-090729-1


      What is this?

    2. RRID:ZFIN_ZDB-GENO-070502-1

      DOI: 10.1016/j.immuni.2020.10.007

      Resource: (ZFIN Cat# ZDB-GENO-070502-1,RRID:ZFIN_ZDB-GENO-070502-1)

      Curator: @scibot

      SciCrunch record: RRID:ZFIN_ZDB-GENO-070502-1


      What is this?

    1. Reviewer #1 (Public Review):

      The work by Wang et al. examined how task-irrelevant, high-order rhythmic context could rescue the attentional blink effect via reorganizing items into different temporal chunks, as well as the neural correlates. In a series of behavioral experiments with several controls, they demonstrated that the detection performance of T2 was higher when occurring in different chunks from T1, compared to when T1 and T2 were in the same chunk. In EEG recordings, they further revealed that the chunk-related entrainment was significantly correlated with the behavioral effect, and the alpha-band power for T2 and its coupling to the low-frequency oscillation were also related to behavioral effect. They propose that the rhythmic context implements a second-order temporal structure to the first-order regularities posited in dynamic attention theory.

      Overall, I find the results interesting and convincing, particularly the behavioral part. The manuscript is clearly written and the methods are sound. My major concerns are about the neural part, i.e., whether the work provides new scientific insights to our understanding of dynamic attention and its neural underpinnings.

      1) A general concern is whether the observed behavioral related neural index, e.g., alpha-band power, cross-frequency coupling, could be simply explained in terms of ERP response for T2. For example, when the ERP response for T2 is larger for between-chunk condition compared to within-chunk condition, the alpha-power for T2 would be also larger for between-chunk condition. Likewise, this might also explain the cross-frequency coupling results. The authors should do more control analyses to address the possibility, e.g., plotting the ERP response for the two conditions and regressing them out from the oscillatory index.

      2) The alpha-band increase for T2 is indeed contradictory to the well known inhibitory function of alpha-band in attention. How could a target that is better discriminated elicit stronger inhibitory response? Related to the above point, the observed enhancement in alpha-band power and its coupling to low-frequency oscillation might derive from an enhanced ERP response for T2 target.

      3) To support that it is the context-induced entrainment that leads to the modulation in AB effect, the authors could examine pre-T2 response, e.g., alpha-power, and cross-frequency coupling, as well as its relationship to behavioral performance. I think the pre-stimulus response might be more convincing to support the authors' claim.

      4) About the entrainment to rhythmic context and its relation to behavioral modulation index. Previous studies (e.g., Ding et al) have demonstrated the hierarchical temporal structure in speech signals, e.g., emergence of word-level entrainment introduced by language experience. Therefore, it is well expected that imposing a second-order structure on a visual stream would elicit the corresponding steady-state response. I understand that the new part and main focus here are the AB effects. The authors should add more texts explaining how their findings contribute new understandings to the neural mechanism for the intriguing phenomena.

    1. Reviewer #1 (Public Review):

      The evolutionary conserved Notch receptor cell-cell communication pathway is required in cell fate decisions in many vertebrate and invertebrate cells. In Drosophila, Notch controls (among others) the cell fate decision of the sensory organ precursor cell, SOP. SOPs divides asymmetrically to give rise to an anterior and a posterior cell, pIIb and pIIa, respectively, which ultimately result in the formation of a bristle. In a recent paper form the Schweisguth lab (Trylinsky et al., 2017) is was shown that Notch is found both apical and basal of the midbody at the pIIa/pIIb interface during cytokinesis, and that it is mainly the basal pool of Notch that contributes to signaling.

      Houssin et al. now asked how polarity and signaling proteins involved are distributed during cytokinesis and how this distribution could impact on Notch signaling and hence fate decision. The authors show that during cytokinesis of the SOP several polarity determinants are re-distributed. Bazooka /Par3 becomes enriched at the pIIa/pIIb interface, where it occurs in nano-clusters, both apical and basal to the midbody, while aPKC remains in the apical compartment. Bazooka co-localizes with Notch, Sanpodo, Delta and Neuralised (Neur) in these clusters. In the absence of baz, both the apical and the lateral Notch-positive clusters are decreased in intensity and the number of lateral clusters is reduced at the pIIa/pIIb interface. Strikingly, this only slightly reduces the signaling activity of Notch. Formation of the Baz-Notch clusters depend on the Notch-cofactor Sanpodo: in its absence, the lateral Baz-Notch clusters do not assemble, suggesting that Sanpodo supports Notch signaling by promoting lateral clusters. From the data the authors conclude that the Notch/Baz/Spdo/Neur clusters represent the signaling units at the pIIa/pIIb interface.

      Major strengths and weaknesses

      The authors performed a very detailed analysis to further dissect how Notch signaling at the pIIa/pIIb interface is controlled. They used state-of-the-art live-cell imaging of tagged proteins in wild-type and mutant animals and applied careful statistical analyses of their data. Thereby, they provide a novel link between the role of the polarity protein Bazooka in clustering Notch, and how the particular redistribution of Bazooka/Notch in clusters on the lateral membrane during cytokinesis of the SOP organize putative signaling hubs.

      However, in the discussion the authors fall somewhat short to substantiate their main conclusion that these clusters "represent signaling units at the pIIa/pIIb interface." (line 560). First, although in the absence of Baz the number and size of Notch clusters are decreased, Notch signaling is only slightly affected. Second, no suggestion for any molecular mechanism is provided as to how Baz may organize these clusters, e.g. about the molecular interaction between Baz and Spdo, both of which are required to cluster Notch. And finally, the fact that the clusters are similar in composition apical and basal to the midbody does not help to support (or disprove) the conclusions put forward in Trylinsky et al., 2017, showing that Notch signaling mainly occurs by the lateral clusters.

    1. Reviewer #1 (Public Review):

      In the manuscript by Kymre, Liu and colleagues, the authors investigate how pheromone signals are interpreted by the projection neurons of the male moth brain. While the olfactory neurons and glomerular targets of pheromone signaling is known, the signaling of the projection neurons (output neurons) that carry pheromone signaling to higher regions of the brain remained unknown. The authors utilized a series of technically challenging experiments to identify the anatomy and functional responses of projection neurons responding to pheromone mixtures, primary pheromone, secondary pheromone, and behavioral antagonist odors. By calcium imaging of MGC mALT neurons, the authors identify that odor responses in PNs are broader than the olfactory neuron counterparts (ie, the behavioral antagonist activates OSNs innervating the dma glomerulus, whereas the antagonist actives dma and dmp glomeruli). The authors then perform a series of elegant experiments by which the odor responses of different mALT PNs are recorded by electrophysiology, and the anatomy of the recorded neurons identified by dye fill and computer reconstruction. This allowed analysis of the temporal response properties of the neurons to be correlated with their axonal processes in different brain regions. The data suggest that attractive pheromone signals activate the SIP and SLP regions, while aversive signals primarily active regions in the LH. Finally, the authors present a model of pheromone signaling based on these findings.

      The work presents the first glimpse at the signaling from mALT PNs. The technical challenges in performing these experiments did limit the number of neurons that could be recorded and imaged. As such, the comprehensiveness of the study was not clear, or if additional experiments might alter the findings. The connection of protocerebrum anatomy with functional signaling (as summarized in Figure 6) could have been more clearly articulated.

      The manuscript could benefit by revisions to the text and figure presentations that would make it more accessible to a broader audience.

    1. Reviewer 1 (Public Review):

      In the manuscript by Liu et al., the authors investigate the role of Adgr6 in spine development in mice and dissect tissue specific contributions leading to late onset scoliosis in knockouts. Furthermore, they implicate Adgr6 in regulating gene expression and the mechanical properties of dense connective tissues via cAMP signaling that are linked to de development of scoliosis.

      Overall, this is an interesting and thorough study of the developmental roles of Adgr6 in spine development that contributes both to the understanding of spine morphogenesis and the etiology of common types of scoliosis that are of unknown origin (i.e., idiopathic). Through the use of various tissue specific drivers, the authors generate conditional mouse knockouts that allowed them to dissect the respective contribution of Adgr6's function in each spine associated tissue. In addition to the use of state-of-the-art genetic tools, the authors show beautiful histological and micro-CT data illustrating developmental processes and phenotypes with great detail. Their results also implicate cAMP signaling and CREB activity in the regulation of mechanical properties of dense spine tissues.

    1. Reviewer #1 (Public Review):

      ER retrieval mediated by the KDEL receptor occurs for cargo present from great to minimal abundance and for cargo with different variations of the "KDEL" carboxy terminal sorting signal. Using a detailed structure/function approach, this study provides insight into the mechanism of cargo recognition by the receptor. A significant advance is the new structural data derived from co-crystals of the receptor with TAEHDEL and TAERDEL peptides that is now compared with the previous KDEL co-crystal structure. From there, the investigators use mutation of both receptor and cargo sequences as well as molecular simulation of the binding interaction. Altogether the findings identify charged receptor residues playing a role in specificity based on the -4 position of the signal, a receptor tryptophan that accounts for higher affinity binding to HDEL, and binding pocket arginines that may be sequentially engaged by the carboxy terminus for capture of the three carboxyl groups in the DEL portion of the signal. The work is meticulously carried out and the findings will likely be of significant interest to the field.

    1. Joint Public Review:

      Bohm et al. investigated the operating conditions of the soleus and the vastus lateralis muscle during running. They report different roles for the two muscles. The soleus acts as an energy generator characterized by a high force-length potential and enthalpy efficiency whereas the vastus lateralis acts as an energy conservator, characterized by a high force-length and force-velocity potential. The authors show how the decoupling of the muscle-tendon-unit length and the fascicle length, mainly attributable to tendon compliance, allows both muscles to work at a high, almost optimal , force-length potential. Beside this similarity the soleus shortens throughout stance phase (concentric mode) whereas the vastus lateralis shows almost no length changes (isometric mode) and is activated primarily in the first part of the stance phase. These observations in combination with the calculated enthalpy efficiency for soleus and the estimated force-velocity potential for vastus lateralis clarify the role of the two muscles in the optimization of muscle energy production and force generation during the experimental condition. The authors use a complex methodology and calculate the variables of interest in the most sophisticated way. The results of the present study contribute in a comprehensive way to the ongoing discussion on muscle and tendon interaction during human locomotion. The conclusions of this paper are mostly well supported by measured and modeled data, but some aspects of the experimental setup and data modeling need clarification and a more thorough discussion.

    1. ZDB-ALT-070316-1

      DOI: 10.1016/j.devcel.2020.07.015

      Resource: (ZFIN Cat# ZDB-ALT-070316-1,RRID:ZFIN_ZDB-ALT-070316-1)

      Curator: @Naa003

      SciCrunch record: RRID:ZFIN_ZDB-ALT-070316-1


      What is this?

    2. ZFIN: ZDB-ALT-120117-1

      DOI: 10.1016/j.devcel.2020.07.015

      Resource: (ZFIN Cat# ZDB-ALT-120117-1,RRID:ZFIN_ZDB-ALT-120117-1)

      Curator: @Naa003

      SciCrunch record: RRID:ZFIN_ZDB-ALT-120117-1


      What is this?

    3. ZFIN: ZDB-ALT-071017-1

      DOI: 10.1016/j.devcel.2020.07.015

      Resource: (ZFIN Cat# ZDB-ALT-071017-1,RRID:ZFIN_ZDB-ALT-071017-1)

      Curator: @Naa003

      SciCrunch record: RRID:ZFIN_ZDB-ALT-071017-1


      What is this?

  2. May 2021
    1. Reviewer 1 (Public Review):

      The manuscript by Pantaleao et. al., describes the effects of maternal diet-induced obesity on lipid composition in maternal and fetal serum and the fetal heart, and in the fetal heart transcriptome. Lipid composition in fetal serum and heart was analyzed in males and females. This study revealed sex-specific effects of obesity during pregnancy. The authors found changes in the lipidome of both mother and fetus in response to obesity. Many of the lipid profiles exhibit sex specific changes in the fetal sera. Similarly, the authors identified sex-specific changes to the lipidome of the fetal heart. Through the use of transcriptomic analysis on the fetal heart, the authors identified changes in the expression of genes regulating lipid metabolism. The results presented provide insight into the still poorly understood processes influencing the long-term health of the fetus.

      The work characterizes an important aspect of the effects of maternal obesity and the results are visually well presented. A limitation is that this is a largely descriptive study. Nonetheless, the authors provide a detailed description of the lipid composition changes in response to maternal obesity and associated with sex.

      The introduction provides key information about the effects of obesity during pregnancy in the offspring, and the relevance of lipids in heart homeostasis. However, cardiac transcriptional regulation and sex-specific responses, which are the other key components of this study, could be more cohesively integrated.

      Some of the results presented can be analyzed in deeper detail to establish correlation between sex and diet with lipid composition and cardiac gene expression.

  3. Apr 2021
    1. Reviewer #1 (Public Review):

      In this paper, the authors addressed the reviewers' concerns and expanded extensively on the utility of variational autoencoder (VAE). The authors included an extra section discussing VAE 's capability in handling more complicated scenarios by studying the tutor and pupil song learning experiment. One can readily visualize the differences between tutor and pupil syllables via the latent embeddings. Although the latent features could be hard to interpret, one could view it as an initial exploratory analysis in identifying possible acoustic structure discrepancies. The authors also included additional data benchmarking latent features against conventional acoustics features for classification tasks and offered a more in-depth study comparing the clustering of song syllables using traditional acoustic features and VAE latent features. Moreover, they discussed the effect of time stretch and frequency spacing parameters on SAP features prediction and VAE's replicability issue for completeness.

      The new Figure 7 showing tutor-pupil analyses is a welcome addition to the paper.

      While it remains uncertain if this method will actually supersede others in quantifying finch and/or mouse datasets, this paper could, at minimum, provide a case study of advantages and disadvantages for using the VAE approach for vocalization datasets.

    1. Reviewer #1 (Public Review):

      This study reports that deletion of Tsc1 restricted to cerebellar Purkinje cells leads to decreased levels of mRNAs associated with FMRP targets although their ribosomal bindings are increased likely through compensatory mechanisms. However, protein levels of Shank2, one of the core FMRP targets, are decreased, suggesting that the compensatory increases in the ribosomal binding of FMRP target mRNAs do not rescue Shank2 protein expression. The analyses for transcriptional and translational processes were performed carefully and in a balanced manner, and the results are largely convincing and support the key conclusions. Considering the growing importance of mTOR signaling and cerebellar functions in ASD pathophysiology, the present work suggests that FMRP target transcripts are key mediators of Tsc1-related cerebellar dysfunctions, which is an important and timely contribution to the field.

    1. Joint Public Review:

      This well-written manuscript describes a spontaneous autoinflammatory phenotype of STAT1-deficient mice, characterized by myeloid hyperplasia, expansion of Th17 cells, microbiota dysbiosis, and inflammatory bowel disease. A similar autoinflammatory condition is seen in humans deficient in STAT1, and in independent colonies of STAT1-deficient mice, but its mechanistic basis is not understood. STAT1 is a critical transcription factor downstream of type I, II (gamma), and III interferon (IFN) signaling. The authors are able to recapitulate the disease phenotype in mice with combined deficiency in both STAT2 (essential for type I and III IFN signaling) and the receptor for IFN gamma, but not in mice deficient in both the type I and II IFN receptors, implying that the phenotype arises from deficiency of all three classes of interferons. Thus the authors conclude that suppression of spontaneous autoinflammatory disease is a redundant function of type I/II/III IFNs. Disease is ameliorated by IL-17 deficiency, indicating a critical role for type 17 responses in pathogenesis. Disease is also ameliorated by treating STAT1 deficient mice with antibiotics, implying a role for the microbiota in the disease progression. The authors' model is that interferons regulate the composition of the microbiota and that dysbiosis of the microbiota then produces the inflammatory disease. The main limitation of the manuscript is that it is not explained how interferons regulate microbiota composition, or how the altered microbiota then produces inflammation. These issues are likely beyond the scope of what could be expected to be fully addressed for this initial paper. However, analysis of disease-free STAT1/IL17-deficient mice could provide insight into whether dysbiosis and inflammation is upstream or downstream of IL-17 signaling.

    1. Reviewer #1 (Public Review):

      Guo et al. describes interesting experiments recording from various sites along a cortico-cerebellar loop involved in limb control. Using neuropixels recordings in motor cortex, pontine nuclei, cerebellar cortex and nuclei, the authors amass a large physiological dataset during a cued reach-to-grasp task in mice. In addition to these data, the authors 'ping' the system with optogenetic activation of pontocerebellar neurons, asking how activity introduced at this node of the loop propagates through the cerebellum to cortex and influences reaching. From these experiments they conclude the following: the cerebellum transforms activity originating in the pontine nuclei, this activity is not sufficient to initiate reaches, and supports the long standing view that the cerebellum 'fine tunes' movement, since reaches are dysmetric in response to pontine stimulation. Overall these data are novel, of high quality, and will be of interest to a variety of neuroscientists. As detailed below however, I think these data could provide much more insight than they currently do. Thus below I provide some suggestions on improving the manuscript.

      1) Since the loop is the focus of this study, it would be nice if the authors better characterized latencies of responsivity to pontine stimulation through the loop, to address how cortically derived information routed to the cerebellum may loop back to influence cortical function. In the data provided, we know that pontine stimulation modulates Purkinje and deep nuclear firing (but latency to responses are not transparently provided in the main text, if anywhere), while motor cortical responses peak at 120 ms (after stimulus onset?, unclear), and that this responsivity is preferentially observed in neurons engaged early in the reaching movement. Is the idea, then, that cortical activity early in the reach is further modulated by cerebellar processing to (Re) influence that same cortical population? Does this interpretation align with the duration of reaches, the duration of early responsive activity during reach, and the latency of responsivity; or is the idea that independent information from other modalities entering the pontine nuclei modulates early cells? Latency to respond at the different nodes, might aid in thinking through what these data mean for the function of the loop.

      2) Many of the figures need work to aid interpretation. Axis labels are often missing (eg 2F); color keys are often unlabeled (2F); color gradients often used but significance thresholds are hard to evaluate (using same colors for z scores and control / laser is confusing 6, 8); and within-figure keys would be useful (5D-h). These issues occur throughout the manuscript.

      3) Relatedly, but also conceptually, Figure 3B has particular issues, such as identifying where the neuropixel multiunit activity is coming from. I assume that in the gray boxes illustrating the spatio-temporal profile of spiking band activity that the lower part of the box is the ventral direction, upper, dorsal. This is not spelled out. From the two examples it would seem that the spiking band is in different places in the cerebellum, undermining, I think, the objective of the figure. It would be sensible to revisit this entire figure to identify the key takeaways and design figures around those ideas. As it stands, these examples appear anecdotal. Consider moving this to a supplement. Powerband density strength is missing an axis. More importantly, it would be nice to corroborate the interpretation of the MUA with the single unit recordings, since the idea is that many neurons are entraining to the PN activity. Yet, the examples don't seem particularly entrained. Is the activity being picked up on just axonal firing of the PN axons? Fourier analysis of spiking of isolated neurons in cerebellum should be used to corroborate the idea that cerebellar neurons are entraining, rather than the neuropixel picking up entrained PN axons.

      4) The use of the GLM is puzzling. In addressing the question of how cerebellum and motor cortex interact (from the Abstract, "how and why" do these regions interact) it is unclear why these regions are treated separately. I would have expected some kind of joint GLM where DCN activity is used to predict M1 variance (5 co-recordings are reported but nothing to analyze?); or where DCN + M1 activity is used to decode kinematics to see if it is better than one or the other alone. As it stands, we learn that there is more kinematic information in the motor cortex than in DCN. This is not necessarily surprising given previous literature on cerebellar contributions to reaching movements. In principle the idea that 'PN stimulation might perturb reaching kinematics through descending projections to the spinal cord, or by altering activity in motor cortex' is treated as mutually exclusive outcomes, though it is highly unlike to be so.' Analyzing M1+DCN together could address whether DCN activity adds nothing to decoding kinematics that isn't there in M1 or adds something that M1 does not have access to. The main point here is that the physiological datasets could be better leveraged with these fits to derive insight into the interactions of the loop. R2 should be provided in the GLMs (Fig 8) to assess statistically how well they perform relative to one another, not just correlations between the two.

    1. Reviewer #1 (Public Review):

      This paper provides quantitative detailed measurements of how dry mass density varies as a function of the cell cycle in fission yeast cells. They find that density decreases during G2 and increases during mitosis/cytokinesis. They also monitor the effects of cell cycle mutants and a drug that depolymerizes actin, and conclude that while dry mass increases continuously, cell cycle-regulated changes in volume growth in fission yeast create the density oscillations. This supports earlier less precise work in the field, and is therefore unsurprising. Overall, the quantitative data convincingly support these conclusions.

      More interesting is the discovery of intracellular density gradients in G2 cells, with lower density at faster growing ends. The basis for these gradients is not investigated. The gradients persist through mitosis and cytokinesis, giving birth to daughter cells whose mean densities differ. These findings would appear to suggest that density differences might accumulate with each generation, but this is clearly not the case as the density variation in a cell population is very small. This paper will be of interest to researchers working on fission yeast, and raises interesting questions for future investigation.

    1. Reviewer #1 (Public Review):

      In this manuscript entitled "Translation inhibitory elements from Hoxa3 and a11 mRNAs use uORFs for translation inhibition", the authors undertake a series of in vitro translation and in cell experiments to characterize the inhibitory features of previously documented Hoxa11 and Hox3 translation inhibitory elements (TIEs). The presence of TIEs within a subset of Hox mRNAs are thought to mediate repression of cap-dependent translation, enabling downstream IRES-mediated initiation to proceed. In sum, the authors report: (i) the presence of an upstream uORF in the Hoxa3 TIE sequence that dampens translation from the downstream ORF and (ii) the presence of a stem-loop structure that appears to block ribosome migration and results in inhibition of the downstream ORF (even thought the 5' UTR of a11 also has 2 uAUGs - these do not appear to play a determining role in a11 TIE activity).

      Major Strengths: This study is comprehensive and thorough. The manuscript is well written.

      Weaknesses: Some of the experiments lacked internal controls making interpretation of the results preliminary in nature.

      For the most part, the authors have defined the inhibitory features of the Hox a3 and a11 Translation Inhibitory Element. The work was placed in appropriate context (Introduction). The work further supports the known concept that uAUGs and 5' UTR secondary structure is detrimental to eukaryotic translation inhibition.

    1. Reviewer #1 (Public Review):

      Samineni et al. seek to identify and characterize the brain mechanisms responsible for itch-related behaviors. Previous work by this group and others showed that mouse CeA contains itch-responsive neurons. Here the authors set out to determine the molecular and circuit identity of these neurons, their necessity and sufficiency in controlling scratching behavior and itch-related affective components. Using photometry in Vgat-IRES-Cre animals, they show that GABAergic neurons in CeA are active during scratching behavior. In subsequent experiments, scratch-responsive neurons are TRAPed (with scratching behavior elicited by pruritogenic chloroquine injections) and later manipulated using optogenetics and DREADD to test their necessity and sufficiency in scratching behavior and other known CeA-dependent behaviors. Scratching bouts are optogenetically driven with or without chloroquine, suggesting that the neurons are sufficient to elicit this behavior. Optogenetic stimulation is also used in a closed-loop real time assay and zero plus maze to show that chloroquine-TRAPed CeA neurons encode aversive affect and anxiety-related behaviors. Inhibitory DREADD is used to show that TRAPed neurons are required for choroquine-mediated itch behaviors and aversive affect elicited by chloroquine. Appetitive studies show that manipulation of chloroquine-TRAPed neurons does not affect free feeding or food seeking. Viral tracing studies show a connection between the CeA and vPAG and optogenetic manipulations of axon terminals in this circuit reproduces findings with TRAPed CeA neuronal manipulations. Finally, TRAPed neurons are isolated and sequenced in an effort to identify their unique molecular profiles. These results strongly suggest that a subtype(s) of CeA neurons are activated by chloroquine and are important for both scratching behavior and affective aspects of the behavior, while not being involved in appetitive behaviors. However, the use of terms like 'active avoidance' is misleading based on the assays used and interpretation of some of the findings is muddied somewhat by missing or inadequately described control data.

    1. Reviewer #1 (Public Review):

      The standard neutral model, which is our null model for levels of genetic variation, predicts that they should be proportional to census population sizes. In reality census population sizes across metazoan species span several orders of magnitude more than the ~3 orders spanned by levels of genetic diversity. This discrepancy is referred to as Lewontin's paradox, and to resolve it would mean to explain how basic population genetic processes lead to the modest span of genetic diversity levels that we observe. This is a central question in population genetics (which is, after all, concerned with understanding patterns of genetic variation) and is of substantial general interest.

      The manuscript addresses Lewontin's paradox through three main analyses:

      1) It derives novel estimates of census population size across metazoans, which alongside previous estimates of neutral diversity levels, enables a revised quantification of the relationship between diversity levels (\pi) and census populations sizes (Nc).

      2) It quantifies the relationship between \pi and Nc controlling for phylogenetic relatedness.

      3) It revisits the question of whether this relationship can be accounted for by the effects of selection at linked loci (e.g., sweeps and background selection). I address each of these analyses in turn.

      Novel estimation of census population sizes in metazoans: The estimates are derived by: 1) estimating the density of individuals within their range, based on body size and a previously observed linear relationship between body size and density (Damuth 1981, 1987); 2) applying a geometric algorithm (finding the minimum alpha-shape computationally, sometimes adjusting alpha manually) to geographic occurrence data to estimate the area of the range; and 3) multiplying the two.

      The results are sometimes surprising. For example, Drosophila melanogaster is estimated to have a population size > 10^17 (Fig. 1); if the volume of an individual is 1 mm3, this implies a total volume > 1km x 1km x 100 m. Additionally, some species classified as endangered have census estimates > 10^8 (Fig. 3). The author compares his area estimates with estimates for species in the IUCN Red List (focused on endangered species) to find that they largely correlate (although this is not quantified). I think further investigation of the quality of the census size estimates is warranted. Are there are other estimates of census size or biomass that can be used for validation, e.g., for species of economic and biomedical importance (e.g., herring and anopheles)?

      If the proposed method proves to work well, I imagine that the estimates of census size may be of broad interest in other contexts. In the context of Lewontin's paradox, it may be interesting to quantify the difference in the relationship between \pi and Nc suggested by the new estimates vs the proxies used in previous work (e.g., Leffler et al. 2012).

      Quantifying the relationship between \pi and Nc controlling for phylogenetic relatedness: I am unclear about the motivation for this analysis. As Lynch argued (and the author describes), if TMRCAs of neutral loci within a species are smaller than the split time from another species in the sample, its genetic diversity level was shaped after the split, and it could be considered an independent sample for the relationship between \pi and Nc. There may be underlying factors shaping this relationship that are not phylogenetically independent (e.g., similar life history traits) but it is unclear why that would justify down-weighting a sample. In that sense, I am not convinced by the authors argument that finding a 'phylogenetic signal' justifies the correction. Stated differently, it is not obvious what is the 'true' relationship being estimated and why relatedness biases it. One could imagine that the 'true' relationship is the one across extant species, in which case the correction is not needed (with the possible exception of species in which TMRCAs are on the same order or greater than split times). I don't know what an alternative 'true' relationship would be.

      Moreover, I am not sure how a more precise 'quantification' of the relationship between diversity and census size serves us. Regardless of corrections, it is obvious that the null provided by the standard neutral model is off by orders of magnitude. Perhaps once we have alternative explanations for this relationship then testing them may require corrections, but presumably the corrections will depend on the explanations.

      One context in which phylogenetic considerations and quantification may be relevant is the comparison of the \pi - Nc relationship among clades. Notably, one could imagine that different population genetic processes are important in different clades (e.g., due to reproductive strategy) and a comparative analysis may highlight such differences. It is less clear whether the corrections that are applied here are the relevant ones. Separating clades makes sense in this regard, but it is unclear why to correct for non-independence within a clade. Furthermore, it seems that in order to point to different processes one would like to control for the distribution of census population sizes in comparisons between clades (to the extent possible). Otherwise, one can imagine the same process shaping the relationship in different clades, but having a non-linear (in log-log scale) functional dependence on census population size (as in the case of genetic draft studied next). In this regard, I am not sure I follow the argument attributed to Gillespie (1991) and specifically how the current analysis supports it.

      In summary, I find the ideas of clade level analyses and of using phylogenetic comparative methods (PCMs) to look at census population size (and possibly diversity levels) promising. For example, as the author alludes to in the Discussion (bottom of P. 13), PCMs may be informative about the hypothesis that species with large census sizes have a greater rate of speciation. Yet I find the current analyses difficult to interpret.

      Analysis of the effects of linked selection: The author investigates whether the effect of selection at linked sites (e.g., selective sweeps and background selection) can account for the observed relationship between diversity levels and census population size. To this end, he assumes that different species have the same sweeps and background selection parameters inferred in Drosophila melanogaster, but differ in census size and genetic map length.

      As justification for using selection parameters inferred in D. melanogaster, the author argues that this is a "generous" assumption in that the effects of linked selection in this species are on the high end. One issue with this argument is that among reasons for the strong effects in D. melanogaster is its short genetic map length. This is not a substantial caveat, given that the analysis is meant as an illustration and it can be resolved by using appropriate wording. Perhaps more troubling is that the author's estimate of the reduction in diversity level in D. melanogaster is much greater than the reduction estimated in the inference that he relies on (several orders of magnitude and less than one, respectively). This discrepancy is mentioned but should probably be addressed more substantially.

      The results of the analysis are intriguing. The effects of linked selection `shrink' the ~13 orders of magnitude of census population sizes to ~3 orders of magnitude of diversity levels. This massive effect is largely due to the genetic draft (Gillespie 2001) and to a lesser extent to the decrease in map length with increasing census size: when the census population size becomes very large (Nc~10^9) and coalescence rates due to genetic drift decrease accordingly (~1/2Nc), coalescence rates due to sweeps, which increase owing to the smaller map lengths (and would otherwise remain constant), become dominant. In hindsight this is quite intuitive and aligns with Gillespie's original argument, but this is in hindsight, and using this argument in conjunction with data, specifically with census population size and map length estimates, is novel.

      As the author points out, the resulting relationship between diversity levels and census population sizes does not fit the data well. Notably, predicted diversity levels are too high in the intermediate range of census population sizes. Nonetheless, their analysis suggests that linked selection may play a much greater role than previous studies suggested (i.e., the analyses of Corbett-Detig et al. (2015) and Coop (2016) suggests that it cannot account for more than 1 order of magnitude). Maybe the poor fit is due to the importance of other factors (e.g., bottlenecks) in species with intermediate census population sizes?

      I also wonder whether the potential role of linked selection may be clearer if the different effects are shown separately, and perhaps with less reliance on the estimates from D. melanogaster. Namely, the effects of background selection can be shown for a few different values of Udel, e.g., between 0.3-3 (this range seems plausible based on many estimates). They can be shown both accounting and not accounting for the relationship between map length and census size. Similarly, the effect of sweeps can be shown for several values of corresponding parameters, and perhaps even for different models for how the number of beneficial substitutions varies with census size (see Gillespie's work to that effect). I believe that such illustrations will be fairly intuitive and less restrictive.

    1. Reviewer #1 (Public Review):

      In this study, Stephani et al. addresses the question of how ongoing fluctuations in neuronal excitability, as well as stimulus strength, impact the perception of above-threshold tactile stimuli and the subsequent stimulus-evoked brain activity. Specifically, pre-stimulus alpha oscillation amplitude and the N20 component of the SEP are used as a readout of cortical excitability, while signal detection theory quantities - sensitivity and criterion - derived from participant response are used as the behavioral correlates. The authors find that 1) higher prestimulus alpha amplitude is associated with a higher criterion, i.e., participants tend to rate stimuli as "weaker" regardless of the actual intensity, while there was no effect on sensitivity; 2) larger N20 amplitude (more negative) is associated with stronger stimulus intensity; 3) conditioned on actual stimulus intensity, larger N20 amplitude is associated with a higher criterion, similar to prestim alpha; 4) the above effects are confirmed using a multi-level structural equation model while also accounting for peripheral control measures; and finally 5) that the thalamic response, as measured in very early components, have no association with perceptual response and previous findings on later SEP components (N140) is reproduced in this data. The authors offer a physiological interpretation that explains the seemingly contradictory result by accounting for the recruitment level of cortical neurons and their membrane depolarization in excitable stages.

      Overall, I find this study to be very nicely done, well-written, and with informative figures. My expertise in signal detection theory and awareness of the SEP literature are limited, and the following comments will probably reflect that. Considering that, the introduction was very concise yet informative regarding the state of the field, and nicely motivates why suprathreshold stimulation is an interesting question to investigate, and was overall just a pleasure to read. The data and analyses seem convincing in supporting the authors' conclusions. The results are indeed puzzling (in an interesting way), and while the authors provide a nicely parsimonious explanation rooted in the underlying neurophysiology, I think this study has the potential to further motivate many lines of investigation, especially considering that the majority of works done in this field looks at the effect of ongoing neural activity on the detection of near-threshold sensory stimuli (as far as I know). I have some major concerns broadly regarding the interplay between alpha oscillation and the N20 (detailed below), the rest are mostly clarifying comments/questions that I believe may help the authors improve this paper, as well as other interesting points to consider in the discussion to relate to the broader literature.

      -

      N20 and alpha oscillation

      My main technical concern lies in the choice of decomposition filter for SEP and alpha oscillations, and the conclusions the authors draw from that. Specifically, a CCA spatial filter is optimized here for the N20 component, which is then identically applied to isolate for alpha sources, with the logic being that this procedure extracts the alpha oscillation from the same sources (e.g., L359). I have no issues (or expertise) with using the CCA filter for the SEP, but if my understanding of the authors' intent is correct, then I don't agree with the logic that using the same filter isolate for alpha as well. The prestimulus alpha oscillation can have arbitrary source configurations that are different from the SEP sources, which may hypothetically have a different association with the behavioral responses when it's optimally isolated. In other words, just because one uses the same spatial filter, it does not imply that one is isolating alpha from the same source as the SEP, but rather simply projecting down to the same subspace - looking at a shadow on the same wall, if you will. To show that they are from the same sources, alpha should be isolated independently of the SEP (using CCA, ICA, or other methods), and compared against the SEP topology. If the topology is similar, then it would strengthen the authors' current claims, but ideally the same analyses (e.g., using the 1st and 5th quintile of alpha amplitude to partition the responses) is repeated using alpha derived from this procedure. Also, have the authors considered using individualized alpha filters given that alpha frequency vary across individuals? Why or why not?

      In the same vein, both alpha and N20 amplitude relate to perceptual judgement, and to each other. I believe this is nicely accounted for in the multivariate analysis using the SEM, but the analysis that partitions the behavioral responses using the 20% and 80% are done separately, which means that different behavioral trials are used to compute the effect of N20 and alpha on sensitivity and criterion. While this is not necessarily an issue given that there IS a multivariate analysis, I would like to know how many of those trials overlap between the two analyses.

      At multiple points, the authors comment that the covariation of N20 and alpha amplitude in the same direction is counterintuitive (e.g., L123-125), and it wasn't clear to me why that should be the case until much later on in the paper. My naive expectation (perhaps again being unfamiliar with the field) is that alpha amplitude SHOULD be positively correlated with SEP amplitude, due to the brain being in a general state of higher variability. It was explained later in the manuscript that lower alpha amplitude and higher SEP amplitude are associated with excitability, and hence should have the opposite directions. This could be explicitly stated earlier in the introduction, as well as the expected relationship between alpha amplitude and behavior.

      Furthermore, I have a concern with the interpretation here that's rooted in the same issue as the assumption that they are from the same sources: the authors' physiological interpretation makes sense if alpha and N20 originated from the same sources, but that is not necessarily the case. In fact, the population driving the alpha oscillation could hypothetically have a modulatory effect on the (separate) population that eventually encodes the sensory representation of the stimulus, in which case the explanation the authors provide would not be wrong per se, just not applicable. A comment on this would be appreciated in the revision.

      In addition, given how closely related the investigation of these two quantities are in this specific study, I think it would be relevant to discuss the perspective that SEPs are potentially oscillation phase resets. Even though the SEP is extracted using an entirely different filter range, it could nevertheless be possible that when averaged over many trials, small alpha residues (or other low freq components) do have a contribution in the SEP. If the authors are motivated enough, a simulation study could be done to check this, but is not necessary from my point of view if there is an adequate discussion on this point.

    1. Reviewer #1 (Public Review):

      The manuscript by Victorino et al. describes the role of the metabolic adaptor hypoxia inducible factor-1α (HIF1α) in NK cells during viral infection. They first showed that NK cells constitutively express HIF1α and it is upregulated by murine cytomegalovirus (MCMV) infection. Using HIF1α KO mice, they provided evidence that HIF1α is dispensable for normal NK cell development, but important for NK cell dependent virus control and morbidity, NK cell number and their expansion. Although the lack of HIF1α affects the NK cell dependent virus control, it appears that HIF1α is not required for NK cell effector functions. In spite of the fact that proliferation of NK cells in HIF1α KO was not affected, their ultimate number was reduced due to the upregulation of pro-apoptotic protein Bim coupled with increased caspase activity and impaired glucose metabolism. As authors pointed out, the data presented in this manuscript are in sharp contrast to previous finding on the role of HIF1α in NK cell responses to tumors, suggesting the impact of tumor microenvironment.

    1. Reviewer #1 (Public Review):

      This is an interesting and informative study reporting on the molecular features of reversible hair graying in humans and the connection with psychological stress. The study appears to have been very well conducted and the interpretations are generally supported by the data. While the results are primarily correlative at this stage, this work will set the stage for future more mechanistic studies and represents an important conceptual and methodological advance.

    1. Reviewer #1 (Public Review):

      Quantifying the role of the multiple hosts and vector species involved in the transmission dynamics of some vector-borne diseases, such as RRV, remains challenging. Using RRV in Brisbane as a case study, the manuscript develops a 3-step framework (physiological competence, half transmission cycle, complete transmission cycle) to integrate different aspects of host and vector physiological competence (e.g. titer levels) with ecological traits (e.g. abundance and feeding behavior) and rank the contribution of suspected species to RRV community transmission. They use published experimental and observational data when available combined with models mostly based on GLMMs to generalize patterns. The authors found that being a physiologically competent vertebrate host does not seem essential, instead vertebrate host ecology and vector physiological competence are the key traits for community transmission of RRV.

    1. Reviewer #1 (Public Review):

      This manuscript presents a generalizable tool for the comparison of single-cell atlases across species. The work addresses an important problem given the proliferation of such cataloguing efforts across a rapidly increasing diversity of organisms, and the opportunities this presents for comparative and evolutionary biology. The algorithms developed extend the use of self-assembling manifolds to this critical problem by addressing key challenges in the assignment of homologous genes and cell types. The method will be extremely useful for comparative studies to understand the evolutionary relationship of different cell types, and to quickly assign the cell type identity to new single-cell atlases by taking advantage of existing datasets. The authors demonstrate the robustness of the method by comparing cell atlases from diverse metazoans. In the process, the authors arrive at three provocative evolutionary conclusions that will require further investigation to fully support: widespread paralog substitutions, the multifunctionality of ancestral contractile cells, and the existence of a deeply conserved gene module associated with multipotency.

      Strengths:

      A key advantage of the approach presented is the relaxation of one-to-one mapping of orthologous genes, instead considering all possible homologous sequences in the alignment of the transcriptomes. Similarly, alignment of cell types is achieved by taking into account the general neighborhood of cell types and not just the closest match. The authors show that the algorithm outperforms existing methods, which were not really developed for the alignment of distantly related cell types. I expect this method will therefore be of general interest to anyone working with diverse organisms.

      Cell types inferred from the use of algorithm could be validated in the poorly studied parasite Schistosoma mansoni. These experiments provide a glimpse into the broad utility of the analysis presented, which can be used as a resource in itself.

      Weaknesses:

      The observation of widespread paralog substitution may be complicated by the use of relaxed gene orthology assignments in the initial alignment of cell types. It will be important to see whether similar levels of paralog substitution are observed when the paralogs in question are excluded during manifold assembly. This would ensure that the apparent paralog substitution is not a consequence of the necessary relaxation of ortholog assignments. Further study of this phenomenon could reveal whether paralogs are more likely to be substituted in cases where they arose more recently, and whether the substitutions are stable within clades-perhaps elucidating different paths of specialization following the ancestral gene duplication event.

      The claim that ancestral contractile cells were multifunctional demands closer exploration of the gene module common to this cell type across species. Cellular contractility is a complex process in any cell and the distribution of the gene module across categories of signaling, actin regulation, and cell adhesion does not in itself imply multifunctionality. The authors also point to a second enriched module within multipotent cells (stem cells) which could be investigated further. Cursory analysis suggests that the gene signature might simply be the consequence of actively dividing cells lacking specialized cell identity markers, as opposed to a more fundamental program of multipotency.

    1. Reviewer #1 (Public Review):

      Ide and colleagues report on an undescribed, pro-inflammatory proximal tubule cell state (DA-PT) in the pathogenesis of acute kidney injury and repair following acute kidney injury. They demonstrate that DA-PT cells accumulate after injury and persist following severe injury, potentially due to alteration of genes related to glutathione metabolism and ferroptosis. Their results are derived from single-cell RNAs sequencing and quantitative microscopic approaches in the mouse kidney. The studies from this work will have a significant impact not only to those studying acute kidney injury but also ischemic injury in other organ systems.

      Major strengths of this work include the comprehensive and complementary nature of the studies with pertinent in vivo models and data analysis of single cell RNA sequencing from kidney cells. The authors have achieved most of the aims of their study and the results mostly support their conclusions. The discussion is a nice summary of their work and compares their results to what is available in the literature.

      A major weakness of this work is the reliance on SOX9+ cells to represent DA-PT cells. This is relevant since their results show that less than 40% of the DA-PT cells express SOX9. SOX9 is not specific to DA-PT cells either, as they are seen in both PT cells and DCT1 cells as well. Additional clarification of these data would be important to enhacne the significance of this work.

    1. Reviewer #1 (Public Review):

      The Signal Peptidase Complex (SPC) processes signal peptides in a wide variety of secretory and membrane proteins that are inserted into the ER membrane in eukaryotic cells. How SPC discriminates transmembrane segments of membrane proteins from signal peptides remains elusive. The work of Kim et al shows that the Spc1 subunit of the SPC enzyme is involved in the quality control function of SPC facilitating accurate cleavage of signal peptides and preventing it from cleaving after transmembrane segments. The work is well executed and the experiments are done in triplicate.

      The approach that Kim et al use is to investigate signal peptide cleavage of carboxy-peptidase Y (CPY) variants with extended amino-terminal regions of various lengths and with low, intermediate or high hydrophobicity of the H region of the signal sequence. The results show that signal peptide processing by Signal Peptidase Complex (SPC) depends on the n-region and the h-region. Signal peptide cleavage of the internal signal sequences is greater in the Spc1 knock out strain.

      In addition, Kim and coworkers study SPC-mediated cleavage after a TM segment of single spanning and a double spanning membrane protein, based on the model membrane protein leader peptidase. Their results (Fig. 4 and Fig. 5) show Spc1 acts as a negative regulator of cleavage of the model single and double spanning membrane proteins when the stretch is quite hydrophobic. Notably, the presence of Spc1 does not completely eliminate SPC cleavage of the artificial membrane proteins. It is not an all or nothing effect, suggesting that the artificial constructs are not faithfully mimicking a membrane protein, which you do not want to be cleaved.

      Given this, it remains unclear what would be observed for physiological membrane proteins that are not normally SP processed but do have a potential signal peptide cleavage site immediately at the C-terminal region. The authors model predicts that such proteins should be cleaved by SPC in the absence of Spc1, and, if this were observed, it would conclusively prove that Spc1 plays a fidelity function and contributes to the accuracy of signal peptide cleavage by SPC.

    1. Reviewer #1 (Public Review):

      Sorrentino et al explore the possible link between 'neuronal avalanches' in resting MEG signal and structural connectivity in the human brain. They estimate neuronal avalanches by applying a threshold to identify large perturbations in the source reconstructed MEG data before binarising the time-series to define 'active' and 'passive' windows in each voxel. Sequences of 'active' voxels are identified starting with any region becoming active and ending when all voxels become passive. The probability of an avalanche transitioning between any two voxels in the MEG data is compared to network structure identified from diffusion imaging in the same individuals. The authors show that brain regions with a high function transition probability are also likely to be structurally connected. Whilst the core finding is interesting, the results are undermined by a lack of controls for confounds.

      Strengths

      This paper utilises a straightforward and intuitive analysis approach to tackle a complex question - how does functional activity spread throughout the brain? The simple thresholding in the neuronal avalanches approach avoids a number of complex steps typically associated with electrophysiology connectivity estimation such as strong filtering and complex frequency transforms. Sorrentino et al are able to show that this simple time-domain measure is able to provide an interesting overview of functional network structure. Moreover, this method naturally works to explore networks structure in transient, aperiodic signals which are often overlooked in favour of an oscillatory perspective.

      The authors consider a range of analysis pipelines to show that the core results are robust to key analysis decisions. Two different parcellations and methods for computing transition probabilities are considered and the results are shown to hold when using diffusion MR data from the HCP project.

      Weaknesses

      The authors claim that these results are unlikely to be caused or affected by linear mixing or volume conduction - however this is not clear to me based on the presented information. Specifically, if a perturbation arises in one region and is mixed by volume conduction into a second region, part of its shape will be preserved but this will be at a lower overall amplitude. Therefore, as the whole perturbation shape will be scaled down in the second mixed region, it is likely that its rising edge will reach the z-score threshold at a later time than in the original signal. In this way linear mixing by volume conduction has the potential to create spurious time-lagged in this analysis. Previous literature on neuronal avalanches in MEG have included extensive control analyses and discussions on linear signal mixing for this reason (10.1523/JNEUROSCI.4286-12.2013). This point is not tackled in the analysis and not clearly discussed in the paper.

      The correlation in Figure 2 B and C is interesting but is not supported by control analyses to account for confounds. For example, ROI size could potentially lead to more apparent structural connectivity and stronger MEG signal driving an apparent correlation between the modalities. This authors conclusions would be better supported if such effects were ruled out.

      The main results are not well developed from the available data. The group level correlations are visualised and the subject-specific correlations are brieflly shown but not described in detail. It is unclear which regions and connections show the highest correlations. Similarly, there is wide between subject variability in the structure<->function correlation which ranges betwee 0.1 and 0.35 but the analysis does not explore whether this is reproducible, neuronal variability or driven by differences in SNR.

    1. Reviewer #1 (Public Review):

      Summary:

      The authors present a very interesting and appealing approach to relate physiological damages observed after the extreme drought in 2018 to drought resistance genes in the European tree species Fagus sylvatica. Climate change and observed drought damages are a pressing issue for the forestry sector. The species is widespread through Europe and an important timber tree. Sampling took place in Hessen, Germany, in a 90x150km area. The authors used poolGWAS and a recently established reference genome to infer associated SNP loci by contrasting allele frequencies with replicated pools of drought susceptible and resistant trees. The authors also test the detected loci by a linear discriminant analysis based on an additional set of trees from the same region (SNP assay). The authors found systematic and quantitative genomic differences for drought susceptibility in the sampled population based on 7 significant loci located within genes and a few more loci (12) to be located close to genes associated with drought susceptibility in previous studies. The authors conclude that the significant loci found help to accelerate and monitor adaptation of beech to climate change. And they conclude from their results that there is enough genetic variation in beech to adapt to increasing drought and future climate change.

      Strengths:

      • The authors used a so-called XP-GWAS or poolGWAS approach, a relatively new (Yang et al. 2015, Zou et al. 2016), time and cost efficient whole genome sequencing method. By using a strictly pair-wise sampling design (XP-GWAS), pitfalls of traditional GWAS studies are avoided. In addition, the authors make use of the recently established reference genome of Fagus sylvatica (however, the used version not yet published). This genetic approach was successfully used in a similar way for crop plants and another broad-leaved tree species (Fraxinus excelsior, Stocks et al. 2020). Sampling effort and sequencing resolution seem to be adequate according to Yang et al. 2015 and yield 106 significantly phenotype associated SNP loci.

      • Environmental variables used in this study contain very detailed climate data from 1950 onwards and mean monthly evaporation potential from 1991 onwards for all sites used for sampling. There are other drought indicators that better correlate with vitality traits such as the ratio of actual versus potential evapotranspiration or minimal site water balance (based on local field capacity) as has been shown for other central European beech forest sites (Braun et al. 2020, Schweiz Z Forestwes 171). But such climate data are difficult to obtain for dense and large-scale samplings without a monitoring background.

      Weaknesses:

      • Small-scale differences in soil water availability and other possible abiotic or biotic factors at the sampling scale of tree pairs are not considered in this study. In the first hypothesis statement, local environmental variation is ruled out by the fact, that the selected trees stand next to each other and, thus, are neighboring trees in the forest. But such small-scale variation should be at least be considered and discussed Literature recommendations: Kätzel 2008, Bolte et al. 2008 (see Sutmöller et al. 2008), Carrière et al. 2019. Furthermore, the (maximum) distance between the pairs of trees is not stated.

      • The selection criteria used for damages versus resistant trees are unclear and the stated selection criteria are not specific to drought stress but rather more general stress indicators (see Wohlgemuth et al. 2020, Schweiz Z Forestwes 171). Traits used seem not to be consistent with protocols from internationally recognized monitoring networks (e.g. ICP forest manual, www.icp-forests.net). Attention should be paid also to the fact that observed stress symptoms have a multivariate background. Modelling analysis of long-term data show that other environmental factors such as N deposition are correlated with the changes in health status observed in central European beech forests and show interactions with drought indicators (Braun et al. 2020, Schweiz Z Forstwes 171, see also Pflug et al. 2018).

      • The authors found only few drought-associated loci (7) to be located within genes and a few more (12) to be located close to genes associated with drought susceptibility in previous studies. Although most of the genes found in this study had putative homologs in other plant species, none were involved in a transcriptomic study on drought response in beech saplings (Müller et al. 2017, see discussion paragraph). It is questionable whether these systematic and quantitative genetic differences are large enough to infer that there is a genomic basis for drought resistance in beech and that genetic variation is large enough in this species to cope with future climate change, also with respect to its distribution across Europe.

      The authors study the genomic basis of drought susceptibility and found systematic and quantitative genomic differences. However, the results seem not to be very strong in supporting the conclusions drawn. It is not clear whether the power of the GWAS study is affected by the precision of phenotyping, pool size, selection intensity, marker density or the depth of sequencing. Moreover, geographic limitations of the study and how that limits conclusions with respect to the species range have not been considered. This could, for example, be based in estimates of genetic variation across the species range such as in Magri (2006) New Phytologist and other newer references.

      This study presents an important issue in forestry and forest ecology and implemented a recently developed, time and cost efficient, genetic approach that has only rarely been applied to woody long-lived species.

    1. Reviewer #1 (Public Review):

      This paper focuses on using liquid chromatography and mass-spectrometry (LC-MS) to compare peptidome of human wound fluid. In this study, uninfected healing wound fluid and infected would fluid were evaluated for potential differences that can predict wound status and infection risk. The authors concluded differences between plasma and wound fluid as well as differences between non-inflamed/non-infected wounds fluid in term of signature of LG-MS peptidome and peptide alignment maps.

      Through their analysis they found many traditional biomarkers associated with wounds such as the cytokines IL-1β, 403 IL-6, IL-8 and TNF-α; the major novel findings come from the vast number of new peptide sequences they described, that could be used as wound biomarkers or drug targets in the future. The major counterargument for their otherwise novel findings is the same group's recent publication on wound biomarkers recently published in Frontiers in Immunology, "Bioinformatic Analysis of the Wound Peptidome Reveals Potential Biomarkers and Antimicrobial Peptides".

    1. Reviewer #1 (Public Review):

      The authors consider the effects of the cilium geometry and motility on its performance in detecting chemicals in the surrounding fluid. They begin by presenting a classic solution of the diffusion equation in an infinite fluid domain at rest, bounded internally by a single cilium. The cilium is modeled as a cylinder of finite length and perfectly absorbing boundary. They compare the capture rate of ambient chemicals at the cilium boundary to that of an absorbing circular patch on a reflecting wall of similar surface area. The latter is another classic solution of the diffusion equation. They find that the capture rate by the cilium exceeds the capture rate by the circular patch. Then, they solve the advection-diffusion equation around the cilium numerically, assuming perfectly absorbing boundary conditions along the cilium and reflecting boundary conditions on the wall. They apply this numerical framework to cases (i) where cilium is at rest in an external shear flow, (ii) where the cilium is actively beating, and (iii) where a bundle of hydrodynamically-interacting cilia are either at rest or actively beating. They observe an increase in capture rate when shear flows and motility are accounted for.

    1. Reviewer #1 (Public Review):

      The primary strength of this paper is the attempt to characterize the neurons injected by Toxoplasma and the electrophysiological changes that ensue. Three major problems are however noted.

      1) Figure 1 attempts to identify regions of the brain more profoundly impacted by Toxoplasma and does so by normalizing the numbers of injected neurons to the size of the region. But since the reporter system used requires the parasite injected protein to interact with a neuron's nucleus, The authors claims can only be valid after normalizing not to size but to density of nuclei in a region. This is especially important in the cortex where different layers have distinct architectures.

      2) The authors claim that inhibitory neurons are significantly less injected than excitatory ones. But how do they know that the inhibitory ones just don't die more quickly.

      3) All of the electrophysiological changes that are reported to happen in the injected neurons can be most easily explained by the fact that they are unhealthy due to the injection. This does not mean that the data are insignificant since increased neuronal damage/death in injected neurons is a critical finding.

    1. Reviewer #1 (Public Review):

      In this manuscript, McLeod and Gandon propose a framework for understanding multidrug resistance (MDR) evolution in a structured population in terms of linkage disequilibrium (LD) dynamics, and apply this framework to three concrete examples of MDR evolution. I was asked to evaluate this manuscript, as well as the authors' response to comments from previous reviewers. My expertise is in epidemiological modelling of antibiotic resistance; I am not hugely familiar with population genetics.

      Overall, I think the authors address an important and interesting question, and I think the approach has the potential to generate valuable insights. I also think the authors addressed the previous reviewers' comments well. However, I have substantial concerns about the modelling framework and the interpretation of the results. In particular: i) there are some problems with the interpretation that LD arises from variation in susceptible density; ii) presenting these results as a re-interpretation and generalisation of Lehtinen et al. 2019 is incorrect; and iii) the modelling of additive transmission costs needs further thought/explanation.

      1) Interpretation of results and re-interpretation of Lehtinen et al. 2019.

      The authors present their results as a generalisation of the effect observed in Lehtinen et al. 2019. Both models show that variation in the strength of selection for resistance between populations can give rise to LD in a model of multiple resistances. In Lehtinen et al., this variation in selection is attributed to variation in clearance rate. The authors re-interpreting the effect as arising from variation in susceptible density instead. This re-interpretation is incorrect: the change in how costs of resistance are modelled (additive here, multiplicative in Lehtinen et al.) changes the evolutionary dynamics, so the two models capture different evolutionary effects. (See points 2 and 3 for further discussion of additive vs multiplicative costs).

      One way to see this is to consider a simple model of single resistance as presented in Lehtinen et al. eqn 1, in which resistance is selected for when: B_r/a_r > B_s/(a_s + tau), where "B" is the transmission rate, "a" the clearance rate and tau the treatment rate. Re-arranging for tau shows how the threshold of selection for resistance depends on the strain's properties (B and a) under different assumptions about cost. With an additive cost in transmission (i.e. B_r = B_s - c), this threshold depends on both transmission rate and clearance rate, predicting LD if populations vary in either transmissibility or duration of carriage. With an additive cost in clearance, this threshold is independent of the strain's properties, predicting no LD. These are precisely the results the authors describe lines 268-277 and Figure 3.

      However, if the costs are multiplicative, this threshold depends on clearance rate only, whether costs are modelled as part of clearance or transmission rate. This is why the model in Lehtinen et al. 2019 predicts LD when populations vary in duration of carriage, even when there is no transmission cost. The author's re-interpretation of the effect in Lehtinen et al. as arising from variation in the density of susceptibles, contingent on an explicit transmission cost, is therefore not correct. More generally, representing one model as a generalisation of the other is misleading.

      I am also not sure about the authors' interpretation that the effects in the model with additive costs arise from variation in susceptible density. Variation in the density of susceptibles can also be generated by variation in the overall population density, so if I understand correctly, this interpretation would predict that LD would arise if the population density was different between populations? And that the selective pressure on single resistance would also depend on overall population density (argument stating line 261)? I am not able to reproduce this dependence of population density in a simple model. I would instead interpret the effect the authors observe as arising because the same additive transmission cost is much more significant if the baseline transmission rate is low (e.g. with c = 1, a strain with B_s 1 would never evolve resistance because B_r would be 0, which would not be the case for a strain with baseline transmission rate B_s = 3).

      The problem with the interpretation in terms of susceptible density is clear in the section on serotype dynamics. The main text refers to serotype-specific susceptibles (S^x) (line 303) and explains observed effects in terms of variation in S^x. In the supporting information however, the authors present a model of serotype dynamics which does not have serotype-specific susceptible classes and the pool of susceptibles is the same for all serotypes (eqn 43). While I absolutely agree this is a better model to study transient effects than introducing a serotype-specific susceptible class, I don't understand what the authors mean by serotype-specific susceptible density in the main text.

      2) The use of an additive transmission cost

      The use of an additive transmission cost requires further consideration/discussion. An additive transmission cost is difficult to interpret epidemiologically and can lead to implausible consequences. For example, if costs are high enough compared to baseline transmission rate, additive costs with no epistasis would lead to a negative transmission rate for the dually resistant strains, which does not make sense (say B_ab = 2 and B_Ab = B_aB = 0.5, then B_AB = -1).

      3) Why is epistasis defined in terms of an additive rather than multiplicative expectation?

      I also have quite a basic question about the overall framework (eqn. 2). In the modelling framework, epistasis is the difference between the actual per capita growth rate of the dually-resistant infections and the expected growth rate, defined as the sum of the difference between the growth rates of the singly-resistant infections and the baseline rate. It was not obvious to me whether the expectation needs to be additive, or whether this is a question of definition (could the expectation be defined, for example, as a multiplicative rather than additive effect?). In particular, I was wondering about this in the context of the authors' suggestion that multiplicative costs are problematic because they give rise to epistasis - this seemed a little tautological to me because epistasis has been specifically defined as deviation from an additive expectation. I think a discussion about why epistasis is defined in terms of additive effects, and the implications for the derivation of the dynamics of D, would be very interesting and also helpful in making the paper more accessible.

    1. Joint Public Review:

      Chen et al. identify LIN37, a member of the DREAM transcriptional repressor complex as a new regulatory factor in DNA double-strand break (DSB) end resection. The study commences with a CRISPR-Cas9 screen for chromatin associated RPA in quiescent pre-B cells that lack DNA ligase 4. In addition to the established anti-resection components 53BP1-Shieldin, findings that validates the screen, the authors identify the transcriptional repression complex LIN37-DREAM. This well executed study makes a number of compelling observations. Namely, that LIN37 limits end-resection only in quiescent cells, that it is not epistatic with 53BP1-Shieldin, and loss of Lin37 allows expression of hundreds of genes including genes involved in DSB end resection and homologous recombination. yielding Rad51 filament formation and HR. All phenotypes were recapitulated by a LIN37 mutant that that does not interact with DREAM. Moreover, generality is shown across human and mouse cell types using either Cas9 breaks or IR.

      The results presented in this manuscript are fascinating and should open a new avenue to study cell cycle dependent regulation of DSB repair. The combination of cell biological and end-seq approaches make a very convincing argument for this unanticipated finding. The conclusions drawn from this work are for the most part well-supported by the data, which are of high-quality, and the experiments are rigorously performed. What is unclear is whether these effects are direct or indirect, including whether other DREAM factors also participate in this end-resection suppression. It would also be nice to know the cellular consequences of dysregulated HR that occurs in quiescent LIN37-deficient cells.

    1. Reviewer #1 (Public Review):

      This paper shows that the sphingomyelin-degrading enzyme SMPDL3B is under transcriptional control of SIRT1 and c-Myc in ESCs, and that loss of SIRT1 lowers sphingomyelin content of ESCs. Sphingomyelin accumulation in SIRT1-deficient ESCs is associated with changes to membrane fluidity and the abundance of several differentiation markers. The paper also includes interesting data showing that maternal HFD feeding increases the SM content of SIRT1 KO embryos. The studies presented are thorough and the data are interesting.

    1. Reviewer #1 (Public Review):

      The authors used EEG-based multivariate pattern analysis and acute stress induction to assess the neural representations mediating a previously demonstrated influence of stress on the balance between goal-directed and habitual responding. They found that stress reduced neural outcome representations and enhanced response representations - results that are consistent with associative structures thought to mediate goal-directed and habitual response strategies, respectively. The study addresses an important and open question, and the combination of clinical, neural and behavioral assays is appealing. However, the interpretability, and thus impact, is threatened by an apparent lack of temporal synchrony between relevant measures, and by the potential effects of social feedback.

      Specifically, it is hard to understand how neural and behavioral devaluation differences between groups can be stress related given that they emerge at a point when differences in stress measures (e.g., cortisol) are no longer present. It seems more likely that, at the time when devaluation insensitivity became more pronounced in the stress group, this group was being released from stress, perhaps experiencing corollary fatigue or buoyancy.

      Another concern is that it is unclear whether the "Error" feedback screen was being employed during devaluation blocks. This is important, because most human psychology experiments use accuracy as the only incentive, and it appears to be a pretty effective motivator. Given that participants in the stress group had just been subjected to an aversive social stressor, they might have found the socially relevant error feedback more painful than the relatively minor response cost.

    1. Reviewer #1 (Public Review):

      The novelty is that the sensitivity to TRAIL and co-localisation in lipid rafts is maintained in oxaliplatin-resistant cells post-treatment (previously shown in cells treated simultaneously with Oxaliplatin and TRAIL), and that this has the potential to target colorectal cancer cells through lipid-based TRAIL delivery. While the implications of the findings are compelling, the study would benefit from clarifying several open questions from the findings and demonstrating robust methodology.

      Specifically, the findings could be strengthened by improvements of the image and statistical analysis. The authors compare the area with stain positivity per cell, which assumes no morphological differences between OxR cells and parental cells and also relies on a threshold. To avoid this, robust methods would need to be used to compare the intensity distributions and pixel intensity spatial correlation. Furthermore, there is a lot of variability in the effect of reduced cell viability of circulating tumour cells across patients and draws. Inter- and intra-patient variation should be considered when statistically comparison the cell viability of circulating tumour cells to TRAIL-conjugated liposomes.

    1. Reviewer #1 (Public Review):

      The study by Huang et al. report on direct recordings (using DBS electrodes) from the human habenula in conjunction with MEG recordings in 9 patients. Participants were shown emotional pictures. The key finding was a transient increase in theta/alpha activity with negative compared to positive stimuli. Furthermore, there was a later increase in oscillatory coupling in the same band. These are important data, as there are few reports of direct recordings from the habenula together with the MEG in humans performing cognitive tasks. The findings do provide novel insight into the network dynamics associated with the processing of emotional stimuli and particular the role of the habenula.

      Recommendations:

      How can we be sure that the recordings from the habenula are not contaminated by volume conduction; i.e. signals from neighbouring regions? I do understand that bipolar signals were considered for the DBS electrode leads. However, high-frequency power (gamma band and up) is often associated with spiking/MUA and considered less prone to volume conduction. I propose to also investigate that high-frequency gamma band activity recorded from the bipolar DBS electrodes and relate to the emotional faces. This will provide more certainty that the measured activity indeed stems from the habenula.

      Figure 3: the alpha/theta band activity is very transient and not band-limited. Why refer to this as oscillatory? Can you exclude that the TFRs of power reflect the spectral power of ERPs rather than modulations of oscillations? I propose to also calculate the ERPs and perform the TFR of power on those. This might result in a re-interpretation of the early effects in theta/alpha band.

      Figure 4D: can you exclude that the frontal activity is not due to saccade artifacts? Only eye blink artifacts were reduced by the ICA approach. Trials with saccades should be identified in the MEG traces and rejected prior to further analysis.

      The coherence modulations in Fig 5 occur quite late in time compared to the power modulations in Fig 3 and 4. When discussing the results (in e.g. the abstract) it reads as if these findings are reflecting the same process. How can the two effect reflect the same process if the timing is so different?

      Be explicit on the degrees of freedom in the statistical tests given that one subject was excluded from some of the tests.

    1. Reviewer #1 (Public Review):

      The authors demonstrate in this study that it is possible to train mice to perform a challenging tactile discrimination task, in a highly controlled manner, in a fully automated setup in which the animals learn to head-fix voluntarily. A number of well described tricks are used to prolong the self-fixation time and thereby obtain enough training time to reach good performance when the decision perceptual decision is difficult. In addition the study establish that this experimental design allows targeted silencing of relatively deep brain areas through a clear skull preparation.

      It has already been demonstrated that mice can perform voluntary head-fixation and can do behavioral tasks in this context. However, this is the first time this methodology is applied to first to a tactile task and second to a task that mice learn is thousands of trials. Another advantage of the present technique is that it is fully automated and allows training without virtually any human intervention.

      The demonstration that optogenetic silencing can be performed in this context is nice but not very surprising as already done in other contexts. Nevertheless it is an interesting application of self head-fixation. The authors should make sure that a maximum of information is available relative to the efficiency of the silencing (fraction of cells silenced) and about its impact on the behavior (does it result or not in a complete impairment?).

    1. Reviewer #1 (Public Review):

      In this ms, Voroslakos et al., describe a customizable and versatile microdrive and head cap system for silicon probe recordings in freely moving rodents (mice and rats). While there are similar designs elsewhere, the added value here is: a) a carefully designed solution to facilitate probe recovery, thus reducing experimental costs and favoring reproducibility; b) flexibility to accommodate several microdrives and additional instrumentation; c) open access design and documentation to favor customization and dissemination. Authors provide detailed description to faccilitate building the system.

      Personally, I found this resource very useful to democratize multi-site recordings, not only for standard silicon probes, but also more novel integrated optoelectrodes and neuropixels. While there are other solutions, this design is quite simple and versatile. A potential caveat is whether it could be perceived as just an upgrade, given some similitudes with previous designs (e.g. Chung et al., Sci Rep 2017 doi: 10.1038/s41598-017-03340-5) and concepts (Headley et al., JNP doi: 10.1152/jn.00955.2014). However, the system presented in this paper provides added value and knowledge-based solutions to make silicon probe recordings more accessible.

    1. Reviewer #1 (Public Review):

      The authors note how previous studies on myocardial infarction have usually studied individual tissues and not examined the cross talk between tissues and their dysregulation. To address this challenge they have therefore performed, in a mouse model of MI, an integrated analysis of heart, liver, skeletal muscle and adipose tissue responses at 6 and 24 hours. They have then validated their findings at 24 hours in two independent mouse model data sets.

      A major strength is their comprehensive approach. They have used high throughput RNA seq and applied integrative network analysis. They show for multiple genes whether they are up regulated or down regulated in these four tissues at the 6 and 24 hour time points and whether the regulation directions are concordant or opposite and note in particular that for the liver both concordant and opposite effects occur. They identify key tissue specific clusters in each tissue and identify the key genes in each cluster. Finally they use whole body modelling to identify cross talk between tissues.

      A further strength of this paper is the integration of transcriptomic data (differential expression, functional analysis and reporter metabolite analysis). The final strength is the very clear presentation of the findings and their implications such that the reader gets a very clear message and at the same time can go in to more detail if this is their area of research interest.

      There are no major weaknesses. The authors have achieved their aims and the data supports their conclusions.

      This work represents a major advance in both methodology and understanding of a multi tissues approach to the study of the metabolic impact of MI and the underlying up and down regulation of relevant genes.

      The relevance of these findings in human MI will need to be tested and may ultimately have therapeutic implications.

    1. Reviewer #1 (Public Review):

      This study examines the evolution of tooth loss (endentulism) across amphibians, finding many cases of endentulism and the majority of losses in frogs and toads (Anura). The study is the first to characterize amphibian endentualism at this scale and the authors have collected an impressive dataset. The study shows correlations among endentulism, diet, and jaw length and discusses potential proximal and ultimate explanations for endentulism in anurans. There are important data provided in this manuscript (e.g. region-specific tooth loss - dentary, maxilla, premaxilla, palate), which could further illuminate developmental pathways responsible for endentulism as well as evolutionary correlates of region-specific tooth loss. The authors collated an impressive breadth of diet data but clearer documentation and examination of that data would allow readers to better evaluate the support for the relationship between diet and endentulism. Overall, this study reveals an interesting evolutionary pattern of endentulism, with the number of independent evolutionary cases of endentulism in amphibians (and anurans, in particular) dwarfing those found in other tetrapod clades.

    1. Reviewer #1 (Public Review):

      The authors examine measures of viral reservoir to understand how different antiviral treatment regimens impact residual virus in HIV infection. They find that NNRTI-based treatments are associated with lower viral reservoirs than PI-based regimens, suggesting they may have some advantage at reducing HIV levels long term.

    1. Reviewer #1 (Public Review):

      The study by Song and colleagues explores the role of circRNAs in fibrosis of the endometrium. Endometrial cells for patients with and without fibrosis were subjected to expression profiling analysis, and circPTPN12 and miR-21-5p were strongly separate in fibrosis in endometrial, with circPTPN12 acting as an inhibitory factor for miR-21-5p. Through the use of various molecular approaches, the authors further that miR-21-5p inhibition results in upregulation of ΔNp63α, and transcription factor that induces EMT. The role of circPTPN12 was also confirmed in vivo using a mouse model of mechanically induced endometrial fibrosis. The authors concluded that targeting the path circPTPN12/miR-21-5p/∆Np63α may be a therapeutic strategy for endometrial fibrosis.

      The authors clearly and convincingly show the involvement of the circPTPN12/miR-21-5p/∆Np63α in EMT and its potential involvement in endometrial fibrosis. Whether or not this can be a therapeutic target is too preliminary at this point. First because the in vivo experiments confirm the link between circPTPN12/miR-21-5p/∆Np63α at the RNA level only (p63) and it would be more convincing to see protein data as well. The involvement of p63 in the process remains a little elusive in this paper. In addition, if the authors believe this pathway can be a real future target to treat endometrial fibrosis, they could better contextualise such a statement, specifically describe what kinds of therapeutic intervention they think of, like regression or prevention of fibrosis. These should be tested in vitro and in vivo. More evidence of the involvement of circPTPN12/miR-21-5p/∆Np63α and the correlation between the three players using clinical material is also necessary.

    1. Reviewer #1 (Public Review):

      -In the present paper the authors have attempted to develop a novel statistical method and sequence reporting tool that combines epidemiological and sequence data to provide a rapid assessment of the probability of HCAI among HOCI cases (defined as first positive test >48 hours following admission) and to identify infections that could plausibly constitute outbreak events.

      -As healthcare-associated infections in hospitals present a significant health risk to both vulnerable patients and healthcare workers, significant improvements to provide a rapid assessment of the probability of HCAI among HOCI cases is of utmost importance in a pandemic setting.

      -The strength of the paper is that they have successfully used a large number of virus sequence data from two UK cities with selected hospitals and developed a statistical method to bring these together with classical epidemiological data, which has resulted in a sequence reporting tool (SRT) that was evaluated in relation to:

      -The IPC classification system recommended by PHE,

      -The PHE definition of healthcare-associated COVID-19 outbreaks (using a 2 SNP threshold).

      -They show the added value of combining the two systems. Obviously, this can only work prospectively in a setting like in the UK, where indeed a system like the COVID-19 Genomics (COG) UK initiative is effectively in place. They conclude that through their retrospective application to clinical datasets, to have demonstrated that the methodology is able to provide confirmatory evidence for most PHE-defined definite and probable HCAIs and provide further information regarding indeterminate HCAIs. Therefor, the SRT may allow IPC teams to optimise their use of resources on areas with likely nosocomial acquisition events.

      -The acquisition of the extensive prospective datasets necessary to use the system requires a non-negligible investment that is possible in a setting in which sequencing routine and phylogenetic analyses can be carried out in real time. The added value of the methodology should eventually justify the investment.

    1. Reviewer #1 (Public Review):

      In this manuscript, Katrukha et al. use advanced microscopy techniques to quantify the organization of microtubules within neuronal dendrites. This is a challenge due to the tight bundling of microtubules along neuronal processes, and they tackle it using two techniques: STED microscopy and Expansion Microscopy. They thus measure by two independent procedures the density of microtubules along proximal dendrites and the proportion of acetylated and tyrosinated microtubules, showing that dendritic microtubules are either acetylated or tyrosinated, but rarely present both or none of these post-translational modifications.

      The manuscript is a significant methodological advance, with a combination of new sample preparation and image analysis procedures that provide images of dendritic microtubules with enhanced quality. These enhancements don't allow the tracing of a significant number of individual microtubules. They are used for refined intensity-based statistics that provide a worthy insight into the organization of dendritic microtubules. Here the approaches are robust, with clear explanation of the quantitation workflow using open-source tools that are made available. One can regret that these measurements don't address the longitudinal dimension of microtubules, which could help revisiting and answering a couple of important questions (existence of modification domains along single microtubules, microtubule orientation...).

      Nonetheless, the authors bring forward very good imaging and solid quantification workflows that allow them to convincingly answer the main question they ask: what is the radial organization of dendritic microtubules, including their post-translational modification state?

    1. Reviewer #1 (Public Review):

      This work is a powerful example of thinking across silos. It combines much knowledge of innate and adaptive immunity, with primate evolution of certain antigens lost only in certain primate lineages and tests an important idea about host-mediated, antibody dependent shaping of gut microbiota using laboratory mice with different engineered genetic alterations. Gut microbiota are all the rage these days, but is often forgotten that these microbial communities represent formidable danger that is really too close (one epithelial layer away) for comfort. The authors demonstrate in laboratory mice, how antibodies against non-self sugar molecules present on bacteria can shape the microbiome. Claims and conclusions seem justified by the data presented.

    1. Reviewer #1 (Public Review):

      Facial muscles control the execution of essential tasks like eating, drinking, breathing and (in most mammals) tactile exploration. The activity of motor neurons targeting different muscles are coordinated by premotor regions distributed throughout brainstem. The precise identity of these cells and regions in adults is presently unclear, largely due to technical challenges. In the current work, Takaoh and colleagues develop an elegant strategy to label premotor neurons that target select muscles and register these cells on a common digital atlas. Their work confirms and also extends previous studies in neonates and provides a useful resource for the field.

    1. Reviewer #1 (Public Review):

      The study by Diboun et al. aims to investigate methylation profiles in Paget's disease of bone patients. Many of the genes identified near areas of differentially methylated sites were known to be involved in osteoclast differentiation, viral infection and mechanical loading. These gene pathways are known to play a role in the pathogenesis of PDB. The strength of this study is that it is the first study to look at changes in methylation profiles in Paget's disease of bone patients. Additionally, the genes identified as having differentially methylated sites suggest that environmental factors such as host immune responses may be altered and play a role in the pathogenesis of PBD. The main weakness of this study is that the cells that were analyzed for changes in methylation sites were not osteoclasts the cells of interest in PBD. While many of the genes identified have been shown to play a role in regulation of the skeletal system, results should be interpreted with caution until they are validated in bone tissue.

    1. ZDB-ALT-070316-1

      DOI: 10.1016/j.xpro.2021.100465

      Resource: (ZFIN Cat# ZDB-ALT-070316-1,RRID:ZFIN_ZDB-ALT-070316-1)

      Curator: @Naa003

      SciCrunch record: RRID:ZFIN_ZDB-ALT-070316-1


      What is this?

    2. RRID:ZFIN_ZDB-ALT-141023-1

      DOI: 10.1016/j.xpro.2021.100465

      Resource: (ZFIN Cat# ZDB-ALT-141023-1,RRID:ZFIN_ZDB-ALT-141023-1)

      Curator: @Naa003

      SciCrunch record: RRID:ZFIN_ZDB-ALT-141023-1


      What is this?

    1. Reviewer #1 (Public Review):

      In this technically difficult study of a crucial and understudied area of the human anterior temporal lobe (ATL), the authors set out to investigate the possibility that representations in this area are dynamic, in keeping with its putative role as a semantic hub. In short, they report evidence for stable representations in posterior areas and dynamic representations in anterior areas.

      The major strength of this paper is in the nature of the physiological data (ECOG) and the complexity of the associated modeling and computational work. In particular, the consideration of and attempt to model dynamic representations is a real strength.

      The major weakness is a slight lack of direct statistical tests to back up certain claims. For example, there is a discussed difference between the posterior and anterior electrode, but not much of direct statistical comparison of those areas. The model which has the best performance clearly changes over time, but there are not direct statistical comparisons of the models performance over that period.

      Overall, there is some evidence for a dynamic representation in this area, and the analyses here do point at the need for a more thorough (i.e., considering the possibility of dynamic change) and generally applied approach to studying representations.

    1. Reviewer #1 (Public Review):

      The protein kinase RIPK3 was widely known to promote a form of lytic cell death termed necroptosis. However, RIPK3 could also promote apoptotic cell death under certain conditions. However, the mechanism by which RIPK3 promotes apoptosis and the physiological relevance of this apoptotic activity were not understood. In this study, the authors provided answers to these two questions.

      Strengths:

      The authors found that a specific phosphorylation on RIPK3 plays a critical role in the switch of RIPK3 into an apoptosis-inducing protein. The authors provided strong evidence to support their conclusion using mouse genetics and demonstrated a role for this RIPK3 activity in reproductive physiology.

      Weaknesses:

      Although the authors succeeded in finding the protein phosphorylation that controls the form of cell death mediated by RIPK3, key questions remained as to how this modification prevents RIPK3 from promoting necroptosis. Also, the authors implied that the kinase activity of RIPK3 is critical in this switch to apoptosis. However, the phenotypes of mice that lack RIPK3 kinase activity do not match that of the mice that harbor mutations that mimic this phosphorylation.

      Overall, this work should provide useful information for future studies to further examine the mechanism by which RIPK3 controls different types of cell death in normal and pathophysiology.

    1. Reviewer #1 (Public Review):

      The largest concern with the manuscript is its use of resting-state recordings in Parkinson's Disease patients on and off levodopa, which the authors interpret as indicative of changes in dopamine levels in the brain but not indicative of altered movement and other neural functions. For example, when patients are off medication, their UPDRS scores are elevated, indicating they likely have spontaneous movements or motor abnormalities that will likely produce changed activations in MEG and LFP during "rest". Authors must address whether it is possible to study a true "resting state" in unmedicated patients with severe PD. At minimum this concern must be discussed in the manuscript.

      This reviewer was unclear on why increased "communication" in the medial OFC in delta and theta was interpreted as a pathological state indicating deteriorated frontal executive function. Given that the authors provide no evidence of poor executive function in the patients studied, the authors must at least provide evidence from other studies linking this feature with impaired executive function.

      In this article, authors repeatedly state their method allows them to delineate between pathological and physiological connectivity, but they don't explain how dynamical systems and discrete-state stochasticity support that goal.

    1. Reviewer #1 (Public Review):

      The authors generated new transgenic fly lines with the human dopamine transporter (hDAT-WT) and the hDAT with the R445C mutation (hDAT-R445C). Studies in the hDAT-R445C flies show a decrease of tissue DA content and a loss of TH+ PPL1 neurons indicating an effect of the DAT mutation on dopamine neuron phenotype or cell survival rather than general DA levels per se. The motor phenotypes observed in the fly include a decrease in the time to initiate flight and in the velocity of locomotion (vigor) but not in the velocity of locomotion initiation or grooming behavior. These behaviors are consistent with the bradykinesia observed in patients. This model system could potentially be used to assay for specific modulators of the mutant to restore surface expression, TH expression and motor behavior.

      In the recombinant cell culture system (HEK Cells), the major consequence of the mutation is a decrease in cell surface expression (there is a decrease in conversion to the mature form). A change in the Km is difficult to ascertain with such a dramatic change in the cell surface expression level but looks to be dramatically decreased (higher affinity). These data differ somewhat from those reported in the study by Ng et al, 2014 where the Bmax for CFT was slightly reduced and the affinity was significantly decreased (Km was ~8 fold higher) as was the Ki for DA inhibition of CFT. It should be noted that the decrease in cell surface expression of R445C reported by Ng et al was also not as dramatic as what the same group demonstrated for the other mutation, R87L, that was compound heterozygous in this family. Differences in the transport properties between the two studies should be discussed.

      X-ray crystallography and molecular modeling provide novel insights into how the mutation (and other substitutions at this site) affects structure-function relationships of the transporter with respect to gating, uptake and efflux. This information could be used to design modulators of the transporter mutants to rescue cell surface expression or function.

      The behavioral effect of CQ on the mutant flies was on the time to flight initiation, which decreased. Locomotion was not tested.

      The value of the study is the creation of the flies for screening and the crystallography and molecular modeling studies which examined the impact of this residue on function in detail. The weakness of the study was the limited characterization of the transport properties and cell surface expression in the flies. Being able to tie together the different studies into a cohesive understanding of what happens in patients and thus what needs to be corrected in patients is an important goal of the study. Some of the key questions needed to achieve this understanding were not fully addressed.

    1. Reviewer #1 (Public Review):

      One proposed function of biomolecular condensates is in controlling the membrane dwell time to modulate activity of signaling factors. This has been well quantified in vitro but is challenging to quantitatively demonstrate in cells because of substantial cell-to-cell variability in behavior. This is important because cell-to-cell variations can obscure quantitatively measuring the functional impacts of clustering.

      In this manuscript, Chen et al. describe the application and adaptation of a micro-patterned substrate that addresses this intrinsic heterogeneity problem by analyzing the activity from clustered (condensed) and non-clustered (diffuse) in the same cell. This was achieved by creation of discrete zones of mobile (membrane-bound) and immobile (polymer-bound) ligands. Using this substrate, the authors examine receptor clustering upon binding to mobile ligands. This clustering drives receptor phosphorylation, increases molecular dwell time of key downstream signaling effectors, and drives local actin polymerization. Importantly, this patterning of substrate allows the authors to de-couple the effects of receptor binding from receptor clustering within individual cells. While there is not a major new conceptual insight in the study, the technical platform allows for a critical quantitative analysis of kinetic proof-reading in signaling pathways that appear phase-separated in cells.

      The results are convincing and conclusions are well supported by the data. The impact of this work include providing quantitative, in vivo evidence for functions of membrane-associated condensates and may extends to other questions related to signaling where it is critical to assess diffusive versus non-diffusive ligands within the same cell.

    1. Reviewer #1 (Public Review):

      Hutcherson and Tusche address an important question: what is the role of dorsolateral prefrontal cortex in normative decision-making? Some have argued that dlPFC plays a role akin to cognitive control - overriding non-normative choices or holding in mind and enhancing the weight of normative goals. Others have argued that dlPFC reflects the accumulation of evidence, akin to a drift diffusion process, during decision-making, and that any apparent special role in normative choices follows from this. Hutcherson and Tusche provide evidence in favor of the second view from three neuroimaging studies across two domains where norms are relevant (altruistic choice and healthy food choice). The key prediction that distinguishes the evidence accumulation hypothesis is that, when normative considerations are weighted more strongly (for example, due to regulatory focus instructions), non-normative choices should be associated with stronger activation than normative ones. The authors observe moderate support for this prediction.

    1. Reviewer #1 (Public Review):

      This manuscript explores the effect of loss of cholinergic innervation on microglia homeostatic phenotype. The authors show that loss of cholinergic tone "primes" microglial towards an activated phenotype, which makes them more prone to an exacerbated response to an inflammatory stimulus administered when microglial cells have already reverted to a "basal state". They further show that this overresponse is due to impaired nicotinic signalling mediated by the α7-nAChR expressed in microglial cells. The authors conclude that cholinergic signalling normally contributes to maintain microglia cells in a resting state. In its absence or reduction, microglial cells are primed and enter an acute proinflammatory state upon a second stimulus.

      This is an interesting and well conducted study that provides a molecular mechanism underlying the feed-forward contribution of microglial cells to conditions such as brain aging or neurodegenerative pathologies such as Alzheimer's disease. A few aspects of the manuscript could however be improved:

      • Figure 2D. In all graphs there are two samples that do not show any increase in cytokine content with respect to saline treated animals? Are these the same animals? Do the authors have an explanation for their lack of response?

      • Can the authors provide double immunostaining analysis to show that Iba1 positive cells express α7-nAChR? This will nicely support FACS results given that FACS represent after all a stress for the cells.

      • Figure 5. The data are somewhat confusing and in part they seem to repeat those reported in Fig 2 and 3. They are not easy to follow for non-specialists in the field and will benefit from re-writing. Furthermore, why looking at circulating levels of the cytokines? It would be more appropriate to determine cytokine content in the brain

    1. Reviewer #1 (Public Review):

      N-glycosylation, the covalent attachment of glycans to selected asparagine residues of target proteins, is a post-translational protein modification that occurs across evolution. However, in contrast to the relatively well described eukaryotic and bacterial N-glycosylation processes, the parallel event in Archaea is less well defined. In this manuscript, Meyer and colleagues report on Agl24, a new component of the N-glycosylation pathway of Sulfolobus acidocaldarius, an archaeal species that lives in hot and acidic conditions. Reminiscent of what is seen in eukaryotic N-linked glycans, the N-linked glycan of S. acidocaldarius also relies on a chitobiose (two N-acetylglucosamines) core. Agl24 was shown to add the second such sugar. This activity is similar to that catalyzed by eukaryotic Alg13/14 and bacterial MurG. Accordingly, similarities among these enzymes were first used to predict Agl24 function. Such activity was subsequently confirmed using various experimental approaches. Finally, the evolutionary implications of Agl24 contributing to the assembly of a chitobiose moiety much like Alg13/14 in eukaryotes were considered. Phylogenetic analyses lend support to the idea that eukaryotic N-glycosylation originated from a sub-set of Archaea.

    1. Reviewer #1 (Public Review):

      The authors of this study investigated the evolutionary process of the mammalian group of species including moles, shrews, hedgehogs, and solenodons with molecular approaches, with a reference to their diverse lifestyles. They first unveiled the among-species relationships and the chronological pattern of diversification by comparing molecular sequences of commonly shared genes. The highlight of the study is the inference of net surface charge and three-dimensional structure of the oxygen-storing muscle protein myoglobin, which reflected the varied lifestyles, with the Russian desman, the smallest endothermic diver, exhibiting a prominently altered disposition of myoglobin, possibly resulting from the adaptation to a semi-aquatic lifestyle.

    1. Reviewer #1 (Public Review):

      Maimon-Mor et al. examined the control of reaching movement of one-handers, who were born with a partial arm, and amputees, who lost their arm in adulthood. The authors hypothesized that since one-handers started using their artificial arm earlier in life then amputees, they are expected to exhibit better motor control, as measured by point-to-point reaching accuracy. Surprisingly, they found the opposite, that the reaching accuracy of one-handers is worse than that of amputees (and control with their non-dominant hand). This deficit in motor control was reflected in an increase in motor noise rather than consistent motor biases.

      Strengths:

      • I found the paper in general very well and clearly written.

      • The authors provide detailed analyses to examine various possible factors underlying deficits in reaching movements in one-handers and amputees, including age at which participants first used an artificial arm, current usage of the arm, performance in hand localization tasks, and statistical methods that control for potential confounding factors.

      • The results that one handers, who start using the artificial arm at early age, show worse motor control than amputees, who typically start using the arm during adulthood, are surprising and interesting. Also intriguing are the results that reaching accuracy is negatively correlated with the time of limbless experience in both groups. These results suggest that there is a plasticity window that is not anchored to a certain age, but rather to some interference (perhaps) from the time without the use of artificial arm. In one-handers these two time intervals are confounded by one another, but the amputees allow to separate them. I think that the results have implications for understanding plasticity aspects of acquiring skills for using artificial limbs.

      Weaknesses:

      • While I found that one of the main conclusion from the paper is that the main factor that is related to increased motor noise is the time spent without the artificial arm, it felt that this was not emphasized as such. These results are not mentioned in the abstract and the correlation for amputees is not shown in a figure.

      • The suggested mechanism of a deficit in visuomotor integration is not clear, and whether the results indeed point to this hypothesis. The results of the reaching task show that the one-handers exhibit higher motor noise and initial error direction than amputees. The results of the 2D localization task (the same as the standard reaching task but without visual feedback) show no difference in errors between the groups. First, it is not clear how the findings of the 2D localization task are in line with the results that one-handers show larger initial directional errors. Second, I think that these results suggest that the deficiency in one-handers is with feedback responses rather than feedforward. This may also be supported by the correlation with age: early age is correlated with less end-point motor noise, rather than initial directional error. Analyses of feedback correction might help shedding more light on the mechanism. The authors mention that the participants were asked to avoid doing corrective movement and imposed a limit of 1 sec per reach to encourage that. But it is not clear whether participants actually followed these instructions. 1 sec could be enough time to allow feedback responses, especially for small amplitude movements (e.g., <10 cm).

    1. Reviewer #1 (Public Review):

      This manuscript reports a novel and original approach to examine the possible mutational paths underlying directed protein evolution.

      The authors conclude from their experiments that "Necessity was almost entirely absent" (line 209). Indeed, the vast majority of states evolved in just one replicate from one starting point. But this is the problem of a half-full glass: is it half full or half empty? If I understand Fig.4F correctly, one can still detect amino acid changes that recapitulate historical substitutions, and others that revert to the historical state, so it does not seem that necessity is "almost entirely absent". Furthermore, several of the amino acid changes that were detected may not have any effect on NOXA or BID biding, maybe they occurred because of mutational bias, drift or hitchhiking. If this is the case, then one cannot compare all acquired states in each trajectory and conclude about the importance of chance, as in this sentence for example: "Pairs of trajectories launched from the same starting point differed, on average, at 78% of their acquired states, indicating a strong role for chance" (line 219). There are causal mutations that arose repeatedly during PACE replicates from each starting genotype and these mutations do indeed confer the selected-for specificity in their "native" background (as is nicely shown in Figure 6A-B). So this, to me, is evidence for necessity.

      Loosing a binding property can probably occur via multiple ways, which are likely to be more numerous than gaining binding for a given protein. It would be nice to discuss this point in more detail.

      The experiments presented are limited to one protein family and to the binding properties to two different proteins. In living organisms, each protein is likely to exhibit particular properties such that it can bind or not bind to hundreds of different proteins, and not just two as tested here. So the constraints present in living organisms may be much larger than the ones present within this experimental evolution set up. Furthermore, the tested proteins probably encounter other constraints in their native environment besides affinity for other proteins, and it is yet unclear whether the variant forms obtained here via experimental evolution would be fine to replace the endogenous proteins in living organisms. It is therefore difficult to generalize from the obtained results to all types of evolutionary changes. In general, the conclusions should be toned down and focused on this particular example.

    1. Reviewer #1 (Public Review):

      The manuscript by MeHeust reports identification of flavinylation proteins that can potentially function as cellular redox mediators related to electron transfer systems in prokaryotes.

      The work is useful and informative. The authors used bioinformatic approach to illustrate wide distribution of these proteins in a variety of prokaryotes. Although exact functions of these proteins are not known, this work should inspire further investigation by researchers in the fields of redox enzymology and bioenergetics.

    1. Reviewer #1 (Public Review):

      The authors sought to understand the relationship between sequence conservation and biological function for a protein complex that undergoes conformational changes during its functional cycle. This included understanding the extent to which phylogenetic comparisons can guide identification of functionally important residues for a specific family member. The particular focus was on the bacteriophage clamp-clamp loader complex, with the long-term goal of understanding structure-function principles that might facilitate the design of novel AAA+ ATPase proteins.

      A systematic mutagenesis screen was used to determine the relative fitness for single site mutations throughout the bacteriophage T4 clamp-loader and clamp proteins. A feature of the screen is selection for fitness in an (almost) authentic biological context. The vast majority of residues are highly permissive to substitution, which is notable because the considerable conformational changes required during the loader-clamp reaction cycle might have been expected to place more constraints throughout the structure. It is demonstrated that tolerance to mutation within the T4 proteins does not correlated well with conservation across 1,000 other bacteriophage sequences, thereby illustrating the importance of specific context and limits of inference from phylogenetic comparisons. The only critical residue distant from a catalytic active site or binding surface is a glutamine, whose importance was not previously noted, but imparts rigidity to the structure by coupling functionally-important clusters through a hydrogen bonded network. Inspection of distantly related AAA ATPases indicates that this residue is important for many, although not all members of this large and diverse family of molecular machines.

      One major concern is that the levels of protein expression and folding are not verified. This is concerning for the Gln118 mutation because lack of fitness could result trivially from misfolding or accelerated degradation that might result from increased flexibility and conformational stability. Moreover, the authors' finding that it was not possible to purify Gln118 mutant proteins for biochemical studies is consistent with this sort of trivial explanation for apparent lack of biological function.

    1. Reviewer #1 (Public Review):

      Using a third odor for memory test, the authors found that single-trial conditioning produces a protein synthesis-dependent LTM leading the avoidance to both CS+ and CS- for more than 7 days. By acutely blocking neurotransmissions from target neurons, they showed that the merged LTM requires outputs from TH-positive dopaminergic neurons during training, and from αβ Kenyon cells and α2sc mushroom body output neurons during testing. Several lines of evidence support their claim that the long-term avoidances of CS+ and CS- after single-trial conditioning are based on the same memory component: 1, Five independent disruptions of the system produced the same level changes of avoidance from CS+ and CS-; 2, Re-exposure to either CS+ or CS- alone abolished both CS+ avoidance and CS- avoidance; 3, The same PPL1 DANs, αβ KCs, and α2sc MBONs involved in both avoidances; and 4, Similar responses of functional depression to CS+ and CS- occurred in the same α2sc MBONs. Based on these results, the authors suggest that animals can develop distinct memory strategies for occasional and repeated threatening experiences.

      While the entire manuscript is well-written and the data are well presented, the conclusion has several weaknesses. First, memories for CS+ and CS- are clearly distinct from each other at least during the first 24 hours after training (Figure 1B). During this period, CS+ memory shows a gradual decline similar to conventional LTM. Oppositely, CS- memory shows a gradual increase. When these flies were tested immediately after training, they seemed to approach CS-, a result similar to the previous study using a similar third-odor test showed that multiple-trial conditioning induces "two independent LTMs of opposite valence for avoiding CS+ and approaching CS-". How does "the approaching CS- memory" turn into "the avoiding CS- memory"? Or, "the avoiding CS- memory" is derived independently, similar to the anesthesia-resistant memory?

      If initial behavior responses to the CS+ and CS- memories are opposite and thus separated, where does each of them occur? Where and how are they merged after one day? The authors claimed that both CS+ and CS- memories require the same PPL1 DANs, αβ KCs, and α2sc MBONs. But, they manipulate PPL1 DANs with TH-Gal4 that expressed in many other dopaminergic neurons. Similarly, the αβ KCs include at least three major cell populations, each has hundreds of neuron with distinct functions. Thus, while both CS+ and CS- memories require the same family of neurons, it remains uncertain whether these events actually occur in the same neurons.

      In general, the identified merged LTM is original and brings a new concept to the field of learning and memory. The finding suggests that two forms of protein-synthesis-dependent LTM induced respectively after occasional or repetitive experiences are encoded in the brain by different neuronal mechanisms. It appears that merged LTM after single-trial training remembers the event with limited details and repetitive spaced trials of training then adds more details to the classical LTM.

    1. Reviewer #1 (Public Review):

      The study is focused on neural deficits in Smith-Lemli-Opitz syndrome (SLOS) that is caused by loss of function of 3b-hydroxysterol-D7 -reductase (DHCR7) and results in lower cholesterol. Individuals with SLOS have cognitive impairment and the authors use mouse models and human iPSCs to investigate the effects of the SLOS mutation on neural progenitor proliferation and neurogenesis. Data show that the loss of DHCR7 leads to premature differentiation of cortical progenitors and altered cortical development. However, the work offers little mechanistic insight.

    1. Reviewer #1 (Public Review):

      The regulation of highly dynamic interactions is for many biological processes of great importance. The authors study the regulatory interaction of the single transmembrane helix protein Phospholamban with the P-type ATPase SERCA which is responsible for removing calcium ions from the sarcoplasm and restoring its concentrations in the sarcoplasmic reticulum. The inhibitory interaction between both proteins is relieved by phosphorylation of a single residue in the cytoplasmic domain of Phospholamban. The authors show by a combination of solid state NMR as well as MD simulations that phosphorylation results in a order to disorder transition in the cytoplasmic part which leads to an re-arrangement of electrostatic networks which is propagated into weakened hydrophobic interactions between the transmembrane parts, thus activating SERCA. Phospholamban has been studied extensively by solid state NMR, liquid state NMR or hybrid methods. For example the phosphorylated form was studied previously, showing that it interacts differently with lipids (doi: 10.1021/bi0614028) and that Ser-16 phosphorylation alters the structural properties of the cytoplasmic domain with respect to the lipid bilayers (doi:10.1016/j.bbamem.2009.12.020). There have also been EPR and other studies, in principle showing the same effect. The current paper adds to this a new solid state method that shows additional details that could not be investigated previously. The work confirms less well determined previous models. The major new aspect is an MD simulation that provides a more detailed view than what was previously possible.

    1. Reviewer #1 (Public Review):

      The authors address the broad question of what is responsible for the large diversity of presynaptic function at synapses arising from a single type of neuron. They use a variety of sophisticated and complementary approaches to address the functional and molecular heterogeneity of hippocampal pyramidal cell to fast-spiking interneuron synapses. The rigorous functional and molecular analysis is clearly described and compelling. The conclusions are consistent with the current view that each presynaptic active zone contains a variable number of release sites, and this variability makes a substantial contribution to the heterogeneity in postsynaptic response amplitude at unitary synaptic connection. Using state-of-the-art imaging approaches, the authors report variability in the content of Munc13-1, a core component of release sites, between release sites. Although these results and conclusions are well-supported, the functional significance of Munc13-1 variability at release sites is unclear.

    1. Reviewer #1 (Public Review):

      The authors have done a great job in carefully labeling the β-catenin with fluorescent protein SGFP2 and quantitatively measuring the β-catenin behavior during Wnt pathway activation with advanced biophysical methods. This is an excellent effort on quantitative biological studies. The knock-in constructs, the cell lines the authors made are great resources for the Wnt field. And the quantification like the β-catenin concentration, β-catenin diffusion coefficient are great knowledge for future studies. The finding that S45F mutation lead to higher fraction of the slow-moving complexes is interesting. Other areas could borrow the research ideas and methods used in this manuscript. My primary concern is the difficulty of interpreting some of the quantitative results in the biological context.

      The authors have concluded that β-catenin has two major populations: free population and slow-diffusing complexed population. The authors have concluded with FCS that the diffusion coefficient of free β-catenin to be 14.9 um2/s (line 259) and the complexed β-catenin to be 0.17 um2/s (line 327). Similar to the authors' argument in the manuscript, this difference means about a 100-fold change of the complex length scale. If the complex is linear, this means a 100-fold change in molecule size, but if the complex is spherical, this means a one-million-fold increase of the molecule size. Furthermore, in the next section, with the N&B method, the authors have suggested that "few, if any, of these complexes contain multiple SGFP2-CTNNB1 molecules" (line 366). When combining the two parts of information, it is hard to imagine a complex that contains one thousand to one million molecules only have one or a few β-catenin subunits. From the biology point of view, APC is the backbone of the destruction complex, which has several β-catenin binding sites by itself. Additionally, APC also contains several Axin1 binding sites where each Axin1 can also recruit one β-catenin. It is unlikely that one APC complex contains only one β-catenin, not mentioning the potential oligomerization of APC. The conclusion that most of the β-catenin containing complexes has only one β-catenin could either be real or due to the misinterpretation of experimental data.

    1. Reviewer #1 (Public Review):

      This manuscript by Kurashina et al. describes a novel post-mitotic role in synaptic patterning for a cell fate determining gene, unc-4, and its co-repressor, unc-37. The DA neurons in C. elegans are cholinergic motor-neurons that exhibit unique synaptic tiling of their dorsal axonal segments. Mizumoto et al has previously shown that Semaphorin-Plexin signaling is required to establish the tiling between DA8 and DA9, by functioning in cis in the DA9 neuron. Using temperature sensitive mutant of unc-4, as well as a combination of CRISPR/Cas9 genome editing with the AID system for specific temporal degradation, the authors nicely examine the spatiotemporal requirement of unc-4, and show that unc-4 is required only post-mitotically for synapse tiling, but not during the development of the DA neurons. Interestingly, activity of the corepressor unc-37 is required both during development and postmitotically for correct tiling. unc-4 and unc-37 are suggested to function by inhibiting the canonical wnt signaling. Overall this is an interesting study which sheds light on our understanding of the post-developmental role of cell fate genes in synapse patterning. I only have one major issue that requires some clarification. The authors present in their introduction the results from Kerk et al, regarding the role of unc-4 as a cell fate determining gene for the VAs and DAs. Kerk et al have shown that UNC-4 is specifically required for the expression of DA genes, without affecting ACh pathway genes. Table 1, however, doesn't fully recapitulate the same results and actually shows that unc-4 and unc-37 mutants do not exhibit significant cell fate defects. The authors use these results to argue in the discussion that the synaptic patterning defects can occur independent of the cell fate transformation. The issue of unc-4 as a cell fate determining gene of A type motor neurons needs to be more clearly addressed. The authors should test whether acr-5 expression is elevated in DAs in unc-4 and unc-37 mutants (Winnier 1999, Kerk 2017). In addition, they should also analyze these DB markers in the temp shift experiments (do the VB-DB markers show up in the post embryonic knockout? And if so, will silencing them specifically in DA neurons rescue the tiling defects?). The discussion, accordingly, should also address these issues.

    1. Reviewer #1 (Public Review):

      Higashi et al. present a molecular mechanism of how the cohesin complex, a supramolecular assembly of several proteins, can topologically embrace DNA and actively extrude DNA into loops. The loop-extruding activity of cohesin and of related condensin complexes have been proposed to represent a cornerstone of genome organization. While recent in vitro studies demonstrate that cohesin and condensin complexes are capable of extruding loops, the molecular mechanisms driving loop extrusion, i.e. how ATP energy is utilized, and what underlies the processivity of the loop extrusion, remains enigmatic. The cohesin complex consist of two long flexible protein "arms" connected at the 'hinge' ends. The other, 'head' ends are linked by the kleisin protein and also can dimerize to form an ATP-binding chamber. Defining how transitions in the cohesin complex structure and its ATPase activity underlies known cohesin functions has been the object of numerous studies for over two decades. Here, the authors build upon these studies.

      The authors start by analyzing available structural data for cohesin domains and associated loading factors. First, by combining the structure of the cohesin-head-domain complex engaged with DNA in ATP-bound state and the corresponding free crystal structures, they show that the 'head module' in the ATP-bound state can tightly wrap around DNA, and upon ATP hydrolysis the DNA-embracing cavity will dilate. In other words, the complex transitions from a 'DNA-gripping state' into a 'DNA-slipping' state after ATP is hydrolyzed. Next, they show that the other DNA-binding module, the 'hinge module', does not change its interaction with the DNA after ATP hydrolysis. The authors also conclude that ATP hydrolysis weakens the interaction between the head and hinge modules, suggesting that the cohesin ring alternates between folded (with head and hinge closed) and unfolded ('free' hinge) states. The authors next carried out FRET experiments to provide experimental evidence for the predicted change in spatial arrangement between the head and hinge modules. Based on this structural analysis, they propose that whether DNA is passed (or not) through the 'kleisin gate' before binding to the head module (into the gripping state) determines if the DNA will be released inside the cohesin ring (i.e. 'topological entry') or if the DNA will remain loosely associated with the head module (i.e. 'loop extrusion') upon ATP hydrolysis. In the latter case, repetitive simultaneous binding of DNA to the head and hinge modules in a folded state followed by relaxation of the cohesin ring while DNA remains bound to the hinge module, may result in a overall 'inward' directed motion of the DNA thread relative to the head domain, i.e. loop extrusion. Stochastic simulations of a coarse-grain model further support that such a model can give rise to loop extrusion.

      The real strength of the paper is in its combination of several pieces of structural and biophysical data that results in a compelling mechanism for cohesin function. The outcome is a united model for cohesin's two characteristic activities - topological engagement of the DNA and DNA loop extrusion. Importantly, the authors explore the role of ATP hydrolysis in driving conformational changes, and, thus, the translocation of DNA, as well as the role of the DNA binding kinetics. The authors go on to relate these findings to the consequences for cohesin function inside cells, where it must content with chromatized substrates. For example, they suggest that while a single nucleosome probably can be bypassed by the cohesin complex, an array of the nucleosome may present a significant hindrance.

      Given its interdisciplinary nature and important conclusions, I believe that this paper will be of broad interest to scientists across disciplines and will influence and stimulate future consideration of how cohesin contributions to the spatiotemporal organization of chromatin.

    1. Reviewer #1 (Public Review):

      Redmond et al. use single-cell and single-nucleus RNA-sequencing to reveal the molecular heterogeneity that underlies regional differences in neural stem cells in the adult mouse V-SVZ. The authors generated two datasets: one which was whole cell RNA-seq of whole V-SVZ and one which consisted of nuclear RNA-seq of V-SVZ microdissected into anterior-posterior and dorsal-ventral quadrants. The authors first identified distinct subtypes of B cells and showed that these B cell subtypes correspond to dorsal and ventral identities. Then, they identified distinct subtypes of A cells and classified them into dorsal and ventral identities. Finally, the authors identified a handful of genes that they conclude constitute a conserved molecular signature for dorsal or ventral lineages. The text of the manuscript is well written and clear, and the figures are organized and polished. The datasets generated in this manuscript will be a great resource for the field of adult neurogenesis. However, the arguments and supporting data used to assign dorsal/ventral identities to B cells and A cells could be strengthened, and more rigorous data analysis could result in new biological insights into stem and progenitor cell heterogeneity in the V-SVZ.

    1. Reviewer #1 (Public Review):

      This study focuses on the consequences of deleting the GluA4 subunit of AMPA receptors for cerebellar synaptic transmission and cerebellar-dependent behaviors. The manuscript is well organized and the information is clearly presented. The first aim of the study is to investigate the effect of the deletion at the level of synaptic function. This is well achieved by a combination of patch-clamp recordings from cerebellar slices and modeling. It is found that deletion of the GluA4 subunit results in a strong decrease in synaptic currents from mossy fibers (MF) to granule cells (GC) as well as in two «compensatory» changes pertaining to NMDA Rs and tonic inhibition. As a consequence, MF-GC transfer is strongly reduced at high frequencies but less affected al low frequencies. The second part of the work investigates the effect of the GluA4 deletion on cerebellar-dependent behaviors. GluA4 knock-out mice are found to have no deficits in locomotion but exhibit a total absence of associative learning in an eye-blink conditioning paradigm. Both, at the slice level and at the behavioral level the strength of this work resides on the quality of the data and the rigorous analysis. A shortcoming of the work stems from the «compensatory» changes which complicate interpretation. However modeling strategies are implemented incorporating those changes and they are able to well predict the observed alterations in GC firing pattern, thus limiting the negative impact.

    1. Joint Public Review:

      The way homologous chromosomes identify one another and become paired is an intriguing phenomenon that has a long history of study, yet the molecular mechanism remains unclear. Recent studies have led to a phenomenological button model for homolog pairing, which hypothesizes that pairing is initiated at discrete sites along the length of each chromosome. The authors aimed to rigorously investigate this idea using biophysical modeling and live imaging. They first constructed a simple polymer model with buttons distributed along the chain that possess locus-specific interactions, and thoroughly investigated its property via stochastic simulation in 3D. Their study confirms that homolog-specific interactions are necessary for homolog pairing. They also tested the effect of time, interaction strength, initial inter-homolog distance, and button density. The authors went on to perform live imaging of pairing dynamics at two selected loci, using the fluorescent signal from nascent mRNA at the corresponding locus. They fitted the model to the experimentally quantified pairing probability of the selected loci over a 6-hour developmental window, and used the constrained model to predict the individual pairing dynamics. The predicted inter-homolog distance post pairing agrees very well with experimental observation.

      Their study supports a button mechanism for homolog pairing, where stable pairing is initiated by reversible random encounters that are propagated chromosome-wide. This work suggests that active processes are not necessary to explain pairing and paves the way for further investigating the molecular mechanism of such a pairing phenomenon.

    1. Reviewer #1 (Public Review):

      The authors have identified an entire set of genes for the synthesis of sulfated exopolysaccharides (EPS) in the cyanobacterial model Synechocystis 6803. They show convincingly that the respective gene products are involved in the production of these compounds and they have extensively characterized the regulation of these genes. Among the regulators they found a STAND protein. STAND proteins include animal and plant regulators of programmed cell death but were rarely characterized in bacteria. Last but not least they come up with an entirely new model for the buoyancy regulation of cyanobacteria (as light-dependent aquatic organisms it is important for cyanobacteria where they are in the water column). The authors suggest a mechanism in which EPS-entrapped cells together with extracellular gas bubbles derived from photosynthesis form multicellular complexes that float at certain depths. This would be a very important function and explain the extensive regulatory and signaling apparatus in controlling the synthesis of these sulfated EPS.

    1. Reviewer #1 (Public Review):

      Major Comments/Concerns

      On line 101 - The use of only the longest transcript for each gene could miss important functional sections of the genome. This could create bias against genes with many isoforms and miss exons that do not happen to lie in the longest transcript. How different would the resulting profiles of conservations be if all coding regions or exons of every gene were used?

      On line 106 - Does this approach create good specificity to our gene of interest rather than just broad functional similarity? For example, with this approach, are there any major neuronal function genes that have NPP very different from MeCP2? Could authors provide a more objective evaluation to baseline/null?

      Minor Comments/Concerns

      On line 132 - It seems fair to examine this set of genes first, but I am not sure this approach to filtering in particular moves us further towards finding a therapeutic for Rett. These genes could be all good potential targets, and your subset of focus are just the best ones for current validation.

      Figure 2C could be made with all 390 co-evolved genes to strengthen the argument that chr19p13.2 is an important region for MeCP2s role.

      Figure 3, 4, 5, 6 - Dynamite plots. While the stats tests are great for understanding the impact of different treatments, box plots or jittered dots would be even more clear.

    1. Reviewer #1 (Public Review):

      The energy released upon zippering of SNARE complexes from the N-terminus to the membrane-proximal C-terminus is widely believed to provide the driving force for membrane fusion, and the cis-SNARE complexes resulting after fusion are disassembled by formation of a 20S complex with Sec17 and Sec18, followed by ATP-hydrolysis by Sec18. This paper now shows that membrane fusion still occurs when the hydrophobic interactions that drive C-terminal zippering of the yeast vacuolar SNARE complex is completely prevented by C-terminal truncation of two of the SNAREs and replacement of the hydrophobic residues at the C-terminus of the SNARE domain of a third SNARE with polar residues, and that such fusion requires Sec17, Sec18 and non-hydrolyzable ATP homologues, in addition to the HOPS tethering complex, which mediates SNARE complex assembly. The results also show that Sec17 plays a key role in fusion through hydrophobic residues in an N-terminal loop that are known to interact with membranes. These results suggest that the core membrane fusion machinery is formed by the SNAREs, Sec17 and Sec18 rather than by the SNAREs alone, and that fusion is driven by a combination of SNARE C-terminal zippering and perturbation of the lipid bilayers by the hydrophobic loops of Sec17. These conclusions are strongly supported by a variety of membrane fusion experiments. FRET assays to SNARE complex assembly also support the conclusions but are less convincing.

    1. Reviewer #1:

      The authors investigate a role for a candidate new inhibitor of USP28 in destabilizing c-MYC to reduce the growth of lung squamous carcinomas. They demonstrate that c-MYC levels are higher in lung squamous cell carcinomas (LSCC) versus lung adenocarcinomas (LADC), and depletion of c-MYC reduces LSCC cell growth. The deubiquitinase USP28 is known to stabilize c-MYC; the authors show that depletion of USP28 also decreases c-MYC protein levels. USP28 action opposes that of a ubiquitin complex targeted by the FBXW7 tumor suppressor. The authors create a new mouse model in which FLP recombinase initially causes deletion of FBXW7 and activation of KRAS to cause tumorigenesis with LSCC and LADC, followed by tamoxifen-dependent CRE recombinase deletion of USP28. Loss of USP28 in this model reduced numbers of LSCC but not LADC, and led to decreased expression of c-MYC and other short-lived proteins such as c-JUN and deltap63. A limitation of the data shown is that tumor number calculations are shown for a relatively small number of mice. Deletion of USP28 also did not restrict LADC growth in a second mouse model, with tumors forming based on activation of KRAS and loss of TP53. The authors then describe a compound, FT206, which they show is a specific inhibitor of USP28 among other ubiquitinases. They demonstrate that this compound reduces expression of c-MYC, c-JUN, and deltap63, but do not demonstrate this effect is directly mediated through USP28. They also show FT206 reduces growth of LSCC but not LADC in the KRAS/FBXW7 tumor model, and in human LSCC xenografts. These latter data suggest the compound FT206 may be useful as a lead compound. However, the current data are not sufficient to demonstrate FT206 binding and biological effect is specific for USP28, as the compound may also bind and regulate other non-deubiquitinase proteins.

    1. Reviewer #1 (Public Review):

      In this manuscript, Ma, Hung and colleagues rewind the tape to explore the genetic landscape that precedes carbapenem resistance of Klebsiella pneumoniae strains. The importance of this work is underscored by the paucity of new drugs to treat CPO (carbapenemase producing organisms). 'Given the need for 35 greater antibiotic stewardship, these findings argue that in addition to considering the current 36 efficacy of an antibiotic for a clinical isolate in antibiotic selection, considerations of future 37 efficacy are also important.' And so I would say the major weakness of the paper is the aspirational nature of how this work could be used by clinicians in antibiotic selection or treatment of the patient.

      The strains selected for these experiments and the evolutionary in vitro models are both well considered. One idea that has stuck with me from the figures of a review article by Kishony (https://pubmed.ncbi.nlm.nih.gov/23419278/, figure 4) is the concept of constraining the evolutionary pathways or fitness landscape for antibiotic resistance. Are there any peaks that a microbial strain reaches that optimize resistance to one AbX but basically leave it inherently unable to evolve resistance to another AbX? This could have application for dual drug therapy or pulsed therapy. When you sequence the isolates that have increased their MIC do you find 'unrelated' mutations in genes that would control protein synthesis or other functions that might be compensatory mutations. Developing a clearer understanding of the rewiring of the bacterium's basic processes might also elucidate both integrated functions and potential weaknesses. You mention mutations in wzc, ompA, resA, bamD.

      Point of discussion. Classic ST258 carries blaKPC on pKpQIL plasmid. Your ST258 strain (UCI38) carries blaSHV-12 on pESBL. Am I to assume that pESBL is in lieu of pKpQIL? Transformation of CPO have many variables and in vitro data does not always mirror what is observed in vivo. So the findings of Fig 2f might need to be considered under different laboratory conditions (substrate, temperature) [https://pubmed.ncbi.nlm.nih.gov/27270289/].

    1. Reviewer #1 (Public Review):

      Mandal and colleagues identified novel functions of Relish in the hematopoietic niche development and its coordinative role in innate immunity. The authors found that Relish is expressed in the PSC, which is essential for various developmental functions, including the maintenance of hematopoietic progenitors, the number of PSC cells, expression of Wg, and the PSC actin cytoskeletal structure. Furthermore, Relish acts as an inhibitor of JNK signaling and functions downstream of the ecdysone pathway in the PSC. The authors moved on to find the developmental and physiological relevance of this phenomenon and discovered that Relish is downregulated upon bacterial infections to accommodate immune responses. These findings show that Relish plays a critical role in hematopoiesis as a downstream of hormonal control and in switching between the developmental and physiological mode of the PSC.

      Conclusions are well-supported by data, and experiments were carefully performed and analyzed. Given that most of the studies on Relish describe its function in innate immunity and that it is the first study showing critical roles of Relish in blood development, this study will draw broad attention and contribute to understanding insect hematopoiesis and immunity.

    1. Reviewer #1 (Public Review):

      Yan et al. take a comprehensive look at structural variants in the 1000 Genomes Project high-coverage dataset, using recent developments that can link short- and long-read data. Combined with genomic simulations, they identify and characterize the timing and origin of a likely selected region in Southeast Asian populations. The combination of multiple data types adds depth to the interpretation.

      The study is timely, combing recently released data and methods, and had interesting biological implications. Tree main areas would help interpretation and robustness of the paper:

      1) Further context and interpretation of the original SV set found is needed, for example comparisons to previous work to identify clearer "positive controls" or sanity checks on the method, and to understand what the contribution of the method/dataset/paper is.

      2) The above is particularly important across ancestries/populations which differ in their LD levels. How does population-specific LD patterns impact the ability to detect these SV patterns? and therefore to make cross-population comparisons or infer differences in frequency that are central to the selection scan and the 220 highly differentiated SVs of interest. Perhaps this is in the original methods paper, but is central to this paper so should at least be explained or analyzed.

      3) The genomic simulations to infer the strength selection was a nice addition, a step beyond common empirically-driven work. It would help to know how to interpret the ABC model in the context of the later finding that the region was introgressed from Neanderthals--the model seems to not include this aspect.

    1. Reviewer #1 (Public Review):

      This MS combines two-photon glutamate sensing (using the iGluSnFR fluorescent probe), two-photon glutamate uncaging, two-photon calcium imaging and electrophysiology to investigate whether synaptically released glutamate activates receptors outside the synapse of release, and at neighboring synapses. The data themselves are very impressive. The authors arrive at the revolutionary conclusion that synaptically released glutamate is able to activate both NMDA and even AMPA receptors at neighboring synapses, remarkably strongly. I say revolutionary, because previous modelling has yielded diametrically opposite conclusions. The reflex would be to prefer experiment over theory, yet the modelling was based upon quite strongly constrained physical parameters that would be quite incompatible with the interpretations reported here. However, I believe the authors have failed to take into account significant technical limitations inherent in the technologies they apply. These include spatial averaging of fluorescence, possible saturation of iGluSnFR and diffusive exchange of (caged) glutamate during uncaging. As a result, the conclusion is wholly unproven. Indeed, I believe it highly probable that all of the data in favor of distal activation will prove to be consistent with synapse specificity and the presence of technical artifacts related to spatial averaging of fluorescence signals and diffusive exchange of (caged) glutamate during uncaging.

    1. Reviewer #1 (Public Review):

      In this work the authors address inter-subunit interactions leading to ESCRT-III function during MVB sorting in a yeast model system. ESCRTs mediate function in multiple biological processes, however the fundamental question of how ESCRT-III mediates membrane remodeling is not understood. As such this represents a topic of considerable interest despite significant technical limitations surrounding the issue. Random and rational mutagenic strategies, including compensatory mutations, are combined with protein-protein interaction studies and in vivo functional assays to identify residues within Vps24 and Vps2 mediating associations with each other and Snf7. Based on these analyses the authors put forth a series of "rules" governing ESCRT-III assembly and function. While beneficial to our conceptual understanding of ESCRT-III these rules fall short in explicitly defining the structural basis of assembly and function including explaining requisite heterodimerization of Vps24-Vps2. This work represents a significant step forward in addressing this challenging question, the experimental design and implementation are convincing, however the limitations of this work could be conveyed more clearly.