Health-associated key gut microbiota drives the variation in community metabolic interactions in non-human primates

Gut microbiota often undergo metabolic cross-feeding and resource competition. However, our understanding of global variations in these interactions and their implications for host health remain elusive. By analyzing a microbial genome catalog from 841 fecal metagenomes across 53 primate species worldwide, we identified key microbiota assigned to two taxa, i.e., Bacillota_A and Pseudomonadota, which well predicted the trade-off of community-level interaction types between metabolic competition and cooperation. Specifically, Bacillota_A species were inherently competitive and amino acid auxotrophic and typically found in anaerobic habitats. In contrast, members of Pseudomonadota were inherently cooperative, siderophore producers, and more abundant in aerobic conditions. Random forest models successfully distinguished unhealthy gut samples from healthy samples through the key competitive and cooperative microbiota, suggesting potential links between community metabolic interactions and host health. Together, this study enhances our mechanistic understanding of microbial interaction dynamism within complex gut ecosystems, offering new targets for understanding host health.

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Publication Details

Journal
Cell Reports
Published
2025-10-25
DOI
https://doi.org/10.1016/j.celrep.2025.116477
Citations
1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.81
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article

Health-associated key gut microbiota drives the variation in community metabolic interactions in non-human primates

Liying Lan, Pengfei Fan, Yang Li, Shao‐Ming Gao et al.
1 citations
Cell Reports
Gut microbiota and health
0.81
article

Health-associated key gut microbiota drives the variation in community metabolic interactions in non-human primates

Liying Lan, Pengfei Fan, Yang Li, Shao‐Ming Gao, Tao Chen
article en
1 citations

Abstract

Gut microbiota often undergo metabolic cross-feeding and resource competition. However, our understanding of global variations in these interactions and their implications for host health remain elusive. By analyzing a microbial genome catalog from 841 fecal metagenomes across 53 primate species worldwide, we identified key microbiota assigned to two taxa, i.e., Bacillota_A and Pseudomonadota, which well predicted the trade-off of community-level interaction types between metabolic competition and cooperation. Specifically, Bacillota_A species were inherently competitive and amino acid auxotrophic and typically found in anaerobic habitats. In contrast, members of Pseudomonadota were inherently cooperative, siderophore producers, and more abundant in aerobic conditions. Random forest models successfully distinguished unhealthy gut samples from healthy samples through the key competitive and cooperative microbiota, suggesting potential links between community metabolic interactions and host health. Together, this study enhances our mechanistic understanding of microbial interaction dynamism within complex gut ecosystems, offering new targets for understanding host health.

Cell ReportsVol. 44(11)
Sun Yat-sen University (CN), German Primate Center (DE)
Openalex Percentile: Top 22%
Gut microbiota and health
0.81
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