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. 2021 Aug 21;14:41. doi: 10.1186/s13040-021-00270-x

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — A. Bacteroides coprocola is more abundant in carbohydrate-rich diets. The relative abundance is greatest in base diet conditions and significantly lower in the microbiomes of high-protein diets (p < 0.05, Kruskal-Wallis H). B. The striated output of individual contributions to leuB abundance in the different diet-phenotype groups (baseline diet (BASE), high protein low carbohydrate (HPLC) and low protein, high carbohydrate (LPHC) with overweight (OW) and lean (LN) phenotypes) reveals leuB is the most abundant in HPLC diet groups and B. coprocola is largely contributing to this abundance. C. Comparing the detected gene orthologues between WGS (yellow) and 16S (blue) data sets indicates the majority are conserved between the two technologies (green)