Genomic and functional co-diversification imprint African Hominidae microbiomes to signal dietary and lifestyle adaptationsOriginal paper
What was studied?
This study asked how the gut microbiomes of African great apes and humans co-evolved with host diet, ecology, and lifestyle. Researchers used deep shotgun metagenomics rather than simple 16S profiling. They compared bacteria, viruses, fungi, parasites, resistance genes, and digestive enzymes across host groups. Reads were assembled into metagenome-assembled genomes to compare bacterial strains and their functions within and between hosts.
Who was studied?
The team sequenced 546 fecal metagenomes from Tanzania, averaging 107 million reads per sample. Groups were 116 non-indigenous adults, 292 urban schoolchildren aged 6 to 15, and 48 Hadza hunter-gatherers. Two wild chimpanzee populations were also sampled: 27 from Issa Valley and 63 from Mahale. Both sexes were represented across groups. Comparisons were made against 179 published human microbiomes from Asia, Europe, and North America.
What were the most important findings?
The pipeline identified 2,836 bacterial species and 15,146 near-complete genomes. Tanzanian human and Mahale chimpanzee microbiomes were richer and more diverse than Western ones. Mean species richness ranged from 314 in non-indigenous adults down to 107 in Issa Valley chimpanzees. Shared genera had diverged within-species so chimpanzee strains favored plant-fiber breakdown while human strains handled animal-derived glycans. Urban humans carried far more antibiotic-resistance genes than wild chimpanzees, with tetracycline genes the most abundant class.
What are the greatest implications of this study?
The work shows the same bacterial genus can perform different digestive jobs in different hosts, so taxonomy alone misses functional adaptation. Whole-genome sequencing is needed to capture it. Rich resistance-gene pools even in the Hadza and wild chimpanzees suggest resistance genes are ancient and widespread, not solely a product of modern medicine. Lifestyle signatures raise the idea of microbiome fingerprinting. Sample sizes were uneven, and functional roles were inferred from sequence data, not lab assays.