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. 2019 Feb 11;568(7753):499–504. doi: 10.1038/s41586-019-0965-1

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© The Author(s) 2019

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. 5 — a, Principal component analysis (PCA) based on GPs of the HGR (n = 553 genomes) and the UMGS (n = 1,952 genomes) coloured by phylum. b, GO functions differentially abundant between the HGR and UMGS genomes from Actinobacteria, Firmicutes, Proteobacteria and Tenericutes. The five functions with the highest and lowest effect size of abundance difference with a false discovery rate (FDR) <5% are represented. A positive effect size denotes overrepresentation in the UMGS genomes. GO terms related to redox functions are highlighted in bold.