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. 2020 Mar 6;10:4247. doi: 10.1038/s41598-020-61192-y

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© The Author(s) 2020

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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Multivariate statistical analyses based on the meta-proteomes of omnivores (O), vegans (V) or vegetarians (VG). Panel a, discriminant analysis of principal components (DAPC) score plot. Panel b, heatmap showing the differentially (FDR < 0.05) detected proteins in the sample meta-proteomes that mostly discriminated the diet groups. The colors of the scale bar denote the protein abundance with 1.15 indicating the highest abundance (red) and −1.15 indicating the lowest abundance (green) between diet groups. Panel c represents whether the individuals (rows) were correctly assigned (based on discriminant functions) to the genetic cluster where they were included a priori (columns) by K-means analyses used to infer the best-supported clustering solution. Colors represent membership probabilities to each cluster (red = 1, orange = 0.75, yellow = 0.25, white = 0) and blue crosses indicate the cluster where the individuals were originally assigned by K-means analyses. Sample label colours match the sample diet labels in the DAPC clusters (Panel a).