Community diversity is associated with intra-species genetic diversity and gene loss in the human gut microbiome
- University of Montreal, Canada
- University of California, Los Angeles, United States
- McGill University, Canada
Abstract
The human gut microbiome contains a diversity of microbial species that varies in composition over time and across individuals. These species (and strains within species) can migrate across hosts and evolve by mutation and recombination within hosts. How the ecological process of community assembly interacts with intra-species diversity and evolutionary change is a longstanding question. Two contrasting hypotheses have been proposed based on ecological observations and theory: Diversity Begets Diversity (DBD), in which taxa tend to become more diverse in already diverse communities, and Ecological Controls (EC), in which higher community diversity impedes diversification within taxa. Previously, using 16S rRNA gene amplicon data across a range of environments, we showed a generally positive relationship between taxa diversity and community diversity at higher taxonomic levels, consistent with the predictions of DBD (Madi et al., 2020). However, this positive 'diversity slope' reaches a plateau at high levels of community diversity. Here we show that this general pattern holds at much finer genetic resolution, by analyzing intra-species strain and nucleotide variation in static and temporally sampled shotgun-sequenced fecal metagenomes from cohorts of healthy human hosts. We find that both intra-species polymorphism and strain number are positively correlated with community Shannon diversity. This trend is consistent with DBD, although we cannot exclude abiotic drivers of diversity. Shannon diversity is also predictive of increases in polymorphism over time scales up to ~4-6 months, after which the diversity slope flattens and then becomes negative-consistent with DBD eventually giving way to EC. Also supporting a complex mixture of DBD and EC, the number of strains per focal species is positively associated with Shannon diversity but negatively associated with richness. Finally, we show that higher community diversity predicts gene loss in a focal species at a future time point. This observation is broadly consistent with the Black Queen Hypothesis, which posits that genes with functions provided by the community are less likely to be retained in a focal species' genome. Together, our results show that a mixture of DBD, EC, and Black Queen may operate simultaneously in the human gut microbiome, adding to a growing body of evidence that these eco-evolutionary processes are key drivers of biodiversity and ecosystem function.
Data availability
The raw sequencing reads for the metagenomic samples used in this study were downloaded from Human Microbiome Project Consortium 2012 and Lloyd-Price et al. (2017) (URL: https://aws.amazon.com/datasets/human-microbiome-project/); and Poyet et al. 2019 (NCBI accession number PRJNA544527). All computer code for this paper is available at https://github.com/Naima16/DBD_in_gut_microbiome.
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BIO-ML: The Broad Institute-OpenBiome Microbiome LibraryNCBI BioProject, PRJNA544527.
Article and author information
Author details
Funding
Paul Allen Frontiers Group
- Nandita R Garud
Research Corporation for Science Advancement
- Nandita R Garud
Natural Sciences and Engineering Research Council of Canada
- B Jesse Shapiro
Canada Research Chairs
- B Jesse Shapiro
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: All human-derived samples used in this study were previously published. We include no additional identifiable or sensitive information.
Copyright
© 2023, Madi et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Community diversity is associated with intra-species genetic diversity and gene loss in the human gut microbiome
eLife 12:e78530.
https://doi.org/10.7554/eLife.78530
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