Decision letter | Social networks predict gut microbiome composition in wild baboons

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Social networks predict gut microbiome composition in wild baboons

Decision letter

Affiliation details

Duke University, United States; National Museums of Kenya, Kenya; University of Montreal, Canada; University of Minnesota, United States; University of Notre Dame, United States; Princeton University, United States
Eric Alm, Reviewing editor, MIT, United States

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for sending your work entitled ‘Social networks predict gut microbiome composition in wild baboons’ for consideration at eLife. Your article has been favorably evaluated by Detlef Weigel (Senior editor), a guest Reviewing editor, and 3 reviewers.

The following individuals responsible for the peer review of your submission have agreed to reveal their identity: Eric Alm (Reviewing editor); Jack Gilbert (peer reviewer). Two other reviewers remain anonymous.

The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.

We are pleased to report that the reviewers were enthusiastic about the novelty and impact of your findings, and were generally pleased with the rigor of your analyses. There was some discussion on whether metagenomic assembly might yield more direct evidence for transfer of specific strains of bacteria across social networks, but it was decided that the conclusions in the current manuscript were well supported, and that strain level analysis might be better suited to a follow up study.

However, it was felt that the statistical analysis leading to the identification of socially structured species could be made more rigorous. The main issue is that the procedure used to transform the data to fit a normal distribution could lead to slight inaccuracies in the p-values calculated by GEMMA. These inaccuracies could be further amplified by use of the FDR. To account for these effects, it was suggested that the procedure be empirically validated by shuffling the social group membership data, and verifying that no significant species are identified. It was also suggested that a similar empirical validation could add support to the within-group social network results. Finally, there were several areas in the text where p-values are given, but it is unclear what test was being run. These should be fully explained.

To summarize, please consider the following revisions:

1) Empirical validation of the procedure used to identify between social group socially structured species.

2) Empirical validation of the procedure used to identify within social group socially structured species.

3) Clarification of the statistical test used for all p-values reported.

DOI: http://dx.doi.org/10.7554/eLife.05224.022