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. 2021 May 6;7:19. doi: 10.1038/s41540-021-00178-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a Spearman correlations between metabolite secretion fluxes (mmol/person/day) and species-level relative abundances across all 108 microbiome models. Shown are only the 66 metabolites for which the positive or negative correlation with at least one species was higher than 0.75 or lower than −0.75, respectively. Rows show metabolites annotated by subsystem, and columns show species annotated by genus and phylum. b Absolute reaction presence in the 108 microbiome models than differed significantly (p-value corrected for false discovery rate < 0.05, Supplementary Table 4b) between the 20 dysbiotic and 63 dysbiotic IBD microbiomes. Rows show reactions annotated by subsystem, and columns show microbiome models annotated by group. Red = reaction present, black = reaction absent. c Principal coordinates analysis of all 26,873 strain to metabolite contributions (mmol/person/day, Supplementary Table 6) computed for the 108 microbiome models.