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Widespread extinctions of co-diversified primate gut bacterial symbionts from humans

Nature Microbiology (2023)Cite this article

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Abstract

Humans and other primates harbour complex gut bacterial communities that influence health and disease, but the evolutionary histories of these symbioses remain unclear. This is partly due to limited information about the microbiota of ancestral primates. Here, using phylogenetic analyses of metagenome-assembled genomes (MAGs), we show that hundreds of gut bacterial clades diversified in parallel (that is, co-diversified) with primate species over millions of years, but that humans have experienced widespread losses of these ancestral symbionts. Analyses of 9,460 human and non-human primate MAGs, including newly generated MAGs from chimpanzees and bonobos, revealed significant co-diversification within ten gut bacterial phyla, including Firmicutes, Actinobacteriota and Bacteroidota. Strikingly, ~44% of the co-diversifying clades detected in African apes were absent from available metagenomic data from humans and ~54% were absent from industrialized human populations. In contrast, only ~3% of non-co-diversifying clades detected in African apes were absent from humans. Co-diversifying clades present in both humans and chimpanzees displayed consistent genomic signatures of natural selection between the two host species but differed in functional content from co-diversifying clades lost from humans, consistent with selection against certain functions. This study discovers host-species-specific bacterial symbionts that predate hominid diversification, many of which have undergone accelerated extinctions from human populations.

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Fig. 1: Co-diversification of gut microbiota with primate species.
Fig. 2: Molecular timescales for bacterial evolution in the primate gut.
Fig. 3: Widespread extinctions of ancestral symbionts from the human microbiota.

Data availability

All sequence data generated in this study have been deposited to the National Center for Biotechnology Information Sequence Read Archive under accessions PRJNA842693 (Nanopore data) and PRJNA842587 (Illumina data). All bacterial genome assemblies generated in this study are available at Dryad under accession at https://doi.org/10.5061/dryad.00000006x. Previously published data from humans and non-human primates analysed in this study are available from http://opendata.lifebit.ai/table/?project=SGB and the European Nucleotide Archive (accession PRJEB35610).

Code availability

Code used for co-diversification and selection analyses is available at https://github.com/CUMoellerLab.

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Acknowledgements

We thank W. Yan for assistance with DNA extractions from chimpanzee faecal samples and H. Ochman for comments on the manuscript. Primate cartoons were created with BioRender.com. Funding was provided by National Institutes of Health grant R35 GM138284 (A.H.M.) and grant R01 AI050529 (B.H.H.).

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Authors and Affiliations

  1. Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA

    Jon G. Sanders, Daniel D. Sprockett & Andrew H. Moeller

  2. Departments of Medicine and Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Yingying Li & Beatrice H. Hahn

  3. Gombe Stream Research Center, Kigoma, Tanzania

    Deus Mjungu

  4. Department of Psychology and Biological Foundations of Behavior Program, Franklin and Marshall College, Lancaster, PA, USA

    Elizabeth V. Lonsdorf

  5. Department of Anthropology, Emory University, Atlanta, GA, USA

    Elizabeth V. Lonsdorf

  6. Department of Ecology and Management of Plant and Animal Resources, Faculty of Sciences, University of Kisangani, Kisangani, Democratic Republic of the Congo

    Jean-Bosco N. Ndjango

  7. Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA

    Alexander V. Georgiev

  8. School of Natural Sciences, Bangor University, Bangor, UK

    Alexander V. Georgiev

  9. Lukuru Wildlife Research Foundation, Tshuapa-Lomami-Lualaba Project, Kinshasa, Democratic Republic of the Congo

    John A. Hart

  10. Department of Anthropology, Washington University in St Louis, Saint Louis, MO, USA

    Crickette M. Sanz

  11. Wildlife Conservation Society, Congo Program, Brazzaville, Republic of Congo

    Crickette M. Sanz

  12. Lester E. Fisher Center for the Study and Conservation of Apes, Lincoln Park Zoo, Chicago, IL, USA

    David B. Morgan

  13. Recherche Translationnelle Appliquée au VIH et aux Maladies Infectieuses, Institut de Recherche pour le Développement, University of Montpellier, INSERM, Montpellier, France

    Martine Peeters

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Contributions

A.H.M. and J.G.S. designed the study, performed analyses and wrote the manuscript. D.D.S. performed analyses and edited the manuscript. B.H.H., M.P., Y.L., D.B.M., C.M.S., J.A.H., A.V.G., J.-B.N.N., E.V.L. and D.M. provided samples and edited the manuscript.

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Correspondence to Andrew H. Moeller.

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Extended data

Extended Data Fig. 1 Map of sampling locations.

a, Map shows sampling locations for human, great ape, new world monkey, old world monkey, and lemur fecal samples. Circles correspond to individual populations sampled as indicated by the key. b, Map of equatorial Africa shows sampling locations for Pan fecal samples sequenced for this study. Two-letter codes correspond to those associated with host IDs in Supplementary Table 1. DP = Doumo Pierre; IK = Ikela; GT = Goualougo Triangle; TL2 = Tshuapa-Lomami-Lualaba; GM = Gombe; LK = Lui-kotal; KR = Kokolopori.

Extended Data Fig. 2 Histogram of number of significant nodes detected after permuting host labels.

X axis indicates number of significant nodes (Mantel test p < 0.01, r > 0.75) recovered in the co-diversification scan after permuting labels of host tree but retaining symbiont tree labels and all other structure in the dataset. Results of 100 random permutations are shown. Value for unpermuted dataset is shown as a vertical red line.

Extended Data Fig. 3 Number of significant nodes detected after removing MAGs from individual host species.

X axis indicates the host species whose MAGs were removed from that dataset before performing sensitivity analyses in which scans for co-diversification were performed after removing individual host species. The number of co-diversifying clades (Mantel test p < 0.01, r > 0.75) detected in each scan are shown. Value for the full dataset is shown as a horizontal dashed line.

Extended Data Fig. 4 Depths of co-diversifying bacterial clades corroborate known ages of host clades.

a, Scatter plot and regression line show the positive association between the depths of co-diversifying bacterial clades based on protein divergence of bac120 single-copy core genes and the known ages of their corresponding host clades based on timetree.org (df = 204; t = 6.03; unadjusted p-value = 7.36e-09). Each point corresponds to a co-diversifying bacterial clade. b–d, Scatter plots show relationships for Firmicutes (df = 72; t = 8.58; unadjusted p-value = 9.16e-11) (b), Actinobacteriota (df = 11; t = 2.25; unadjusted p-value = 0.046) (c), and Bacteroidota (df = 91; t = 4.38, unadjusted p-value = 3.17e-05) (d). Colours denote bacterial phyla as in Fig. 1b. In a–d, bands represent 99% confidence intervals, centre lines indicate best-fit regression, and p-values represent results of two-sided Student’s t-tests.

Extended Data Fig. 5 Depths of non-co-diversifying bacterial clades and ages of host clades.

Scatter plot and regression line show the association between the depths of strongly non-co-diversifying bacterial clades (r < 0) based on protein divergence of bac120 single-copy core genes and the known ages of their corresponding host clades based on timetree.org (df = 53; t = 0.86; unadjusted p-value = 0.393). Each point corresponds to a bacterial clade. The non-codiversifying clades were derived from host species spanning the same epochs as in Extended Data Fig. 3. Bands represent 99% confidence intervals, centre line represents best-fit regression, and p-value represents result of two-sided Student’s t-tests. In contrast to results displayed in Extended Data Fig. 3 based on co-diversifying clade depths, non-co-diversifying clade depths were not significantly positively associated with known ages of the corresponding host clades.

Extended Data Fig. 6 Rates of genomic evolution vary among bacterial phyla.

Scatter plot and regression lines show the positive relationships within co-diversifying bacterial clades between DNA substitutions per site of bacterial lineages and divergence time of host species from which the lineages were recovered. Each point represents a comparison between two co-diversifying bacterial lineages. Points and lines are coloured based on bacterial phyla as indicated by the key and corresponding to Fig. 1. Bands represent 95% confidence intervals and centre lines represent best-fit regression.

Extended Data Fig. 7 COG pathways enriched in Pan MAGs from co-diversifying clades missing from humans.

Bar plots show the enrichment scores of COG pathways identified as significantly overrepresented in Pan MAGs from co-diversifying clades missing from humans relative to Pan MAGs from co-diversifying clades present in humans. Enrichment scores were calculated as the Rao test statistic for equality of proportions as implemented in Anvi’o anvi-compute-functional-enrichment. Only the top 20 COG pathways are shown in the figure. For a full list see Supplementary Table 5.

Extended Data Fig. 8 Genomic signatures of selection in human and chimpanzee gut bacteria.

Scatter plot shows the relationship between per-CORF dN/dS values in humans and Pan. Points correspond to individual CORFs from co-diversifying bacterial lineages detected in human and Pan. Dashed vertical and horizontal lines correspond to the dN/dS expectation under neutral evolution, and dashed diagonal line corresponds to a 1-to-1 relationship between dN/dS values in humans and Pan. Points are coloured based on bacterial phyla as in Fig. 1 and as indicated in the key.

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Supplementary Tables 1–7.

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Sanders, J.G., Sprockett, D.D., Li, Y. et al. Widespread extinctions of co-diversified primate gut bacterial symbionts from humans. Nat Microbiol (2023). https://doi.org/10.1038/s41564-023-01388-w

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