Peer Review History

Original SubmissionDecember 17, 2024
Decision Letter - Natalia L. Komarova, Editor, Samraat Pawar, Editor

PCOMPBIOL-D-24-02185

Antibiotic-mediated interactions underlying microbial diversity

PLOS Computational Biology

Dear Dr. Verma,

Thank you for submitting your manuscript to PLOS Computational Biology. After careful consideration, we feel that it has merit but does not fully meet PLOS Computational Biology's publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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We look forward to receiving your revised manuscript.

Kind regards,

Samraat Pawar, PhD

Academic Editor

PLOS Computational Biology

Natalia Komarova

Section Editor

PLOS Computational Biology

Additional Editor Comments :

We have now received 3 reviews. These are largely positive, but some significant technical revisions are needed. Specifically:

* Reviewer 1 highlights an apparent contradiction: Table 1 lists {PD, SP, DS, DP} as stable whereas Fig 2c shows no 4-strain/2-antibiotic stability; they also ask for quantitative trajectories for all “stable” graphs and a clearer treatment of limit cycles versus fixed points.

* Reviewer 2 requests a formal definition of “cyclicity”, explicit counting of non-redundant graphs, parameter ranges for the 900 (Kp, Kd) sets in Fig 4, and clearer rules governing extensions in Table 1 (why repeated phenotypes are excluded for strains but not for antibiotics).

* Reviewer 3 endorses acceptance as-is.

Essential revisions

* Resolve Fig 2c/Table 1 mismatch and state how redundancy filtering (identical rows/columns) is handled.

* Provide a mathematical definition of cyclicity and prove (or numerically demonstrate) why PSD + cyclicity is sufficient but not PSD alone (e.g. {PP, SS, DD}).

* Add quantitative time series (or phase-plane plots) for every graph deemed stable; note when stability is via limit cycles.

* Document full parameter sweeps (cp, cd, cr, Kp, Kd), initial conditions, and replicate strategy.

* Improve figure/table legends, fix minor label/footnote errors, and harmonise metabolic-cost statements.

Please also provide point-by-point responses to all the Reviewers' comments.

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https://journals.plos.org/ploscompbiol/s/figures

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Authors:

Please note that two reviews are uploaded as attachments.

Reviewer #1: Attached in file

Reviewer #2: The work by Athreya et al. investigates the complex interplay of antibiotic production, resistance, and degradation in shaping microbial diversity using a theoretical framework.

The core of the manuscript focuses on identifying specific interaction patterns, or "motifs," that are critical for microbial coexistence in interaction graphs, specifically a "producer-sensitive-degrader" (PSD) motif. The study provides mechanistic insights by establishing exact rules for coexistence in small microbial communities and demonstrates that the PSD motif, particularly when combined with a cyclic interaction structure, is sufficient for stable coexistence in well-mixed populations. The authors also use individual-based simulations to explore the role of this motif in spatially structured populations, finding that community coexistence remains robust across a wide range of antibiotic and degrader diffusivities. The findings emphasize that antagonism, often perceived as a barrier to biodiversity, can drive diversity under specific interaction patterns.

I really like how the manuscript was structured overall - all the sections are drafted well - and enjoyed reading it. I do not have any comments and am happy for this paper to be accepted.

Reviewer #3: The review is uploaded as an attachment.

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Have the authors made all data and (if applicable) computational code underlying the findings in their manuscript fully available?

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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Attachments
Attachment
Submitted filename: Review PlosComp.docx
Attachment
Submitted filename: Review_of_PCOMPBIOL-D-24-02185.pdf
Revision 1

Attachments
Attachment
Submitted filename: Response to Reviewers.pdf
Decision Letter - Natalia L. Komarova, Editor, Samraat Pawar, Editor

Dear Dr Verma,

We are pleased to inform you that your manuscript 'Coexistence rules for small, antagonistically interacting microbial communities' has been provisionally accepted for publication in PLOS Computational Biology.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

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Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Computational Biology. 

Best regards,

Natalia L. Komarova

Section Editor

PLOS Computational Biology

Natalia Komarova

Section Editor

PLOS Computational Biology

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Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: I would like to commend the authors for their thorough responses and the revisions that have clarified my previous concerns. I have no major issues remaining and am pleased to recommend this manuscript for publication.

I have only one minor comment regarding the new Figure 5: the upper left and lower left panels appear different, although their reported and ​ values are similar. This difference is not described in the figure legend, and the authors may wish to verify that the panels and accompanying explanation are consistent.

Reviewer #2: The authors have done a great job of responding to the reviewers' comments.

Reviewer #3: The review is uploaded as an attachment.

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Have the authors made all data and (if applicable) computational code underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data and code underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data and code should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data or code —e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: Yes: Lluís Hernández-Navarro

Attachments
Attachment
Submitted filename: Second_Review_of_PCOMPBIOL-D-24-02185_R1.pdf
Formally Accepted
Acceptance Letter - Natalia L. Komarova, Editor, Samraat Pawar, Editor

PCOMPBIOL-D-24-02185R1

Coexistence rules for small, antagonistically interacting microbial communities

Dear Dr Verma,

I am pleased to inform you that your manuscript has been formally accepted for publication in PLOS Computational Biology. Your manuscript is now with our production department and you will be notified of the publication date in due course.

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Thank you again for supporting PLOS Computational Biology and open-access publishing. We are looking forward to publishing your work!

With kind regards,

Anita Estes

PLOS Computational Biology | Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom ploscompbiol@plos.org | Phone +44 (0) 1223-442824 | ploscompbiol.org | @PLOSCompBiol

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