Global-scale microbiome analyses identify an ancestral gut cyanobacterial lineage enriched in African populations
Murai, K.; Suzuki, Y.; Nishijima, S.
Show abstract
Industrialization has profoundly reshaped the structure and function of the human gut microbiome, yet our current knowledge of its diversity remains heavily biased toward industrialized populations. Here, we performed an integrated analysis of a large-scale metagenomic dataset (n = 41,471) to systematically characterize the gut microbiome across the African continent. We show that sub-Saharan African populations harbor gut microbiome structures that are distinct not only from industrialized populations but also from other non-industrialized populations. Notably, we identify a strong enrichment of Gastranaerophilales, a poorly characterized lineage of non-photosynthetic Cyanobacteria, in sub-Saharan African populations. Comparative genomic analyses reveal that this lineage encodes distinctive functional features, including motility-related genes, vitamin biosynthesis pathways, and specialized carbohydrate transport systems. Furthermore, we show that this lineage is widely distributed across non-human primates, supporting an evolutionarily conserved host association predating modern humans. Together, our findings identify Gastranaerophilales as a potential ancestral gut symbiont that has been markedly reduced in industrialized societies but retained within African populations, highlighting a major but previously underappreciated component of the human gut microbiome.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Microbiota Assembly, Structure, and Dynamics Among Tsimane Horticulturalists of the Bolivian Amazon 98%
- Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians 97%
- Listeria monocytogenes faecal carriage is common and driven by microbiota 97%
Similar papers in this journal
- MCSPACE: inferring microbiome spatiotemporal dynamics from high-throughput co-localization data 97%
- Deep learning reveals functional archetypes in the adult human gut microbiome that underlie interindividual variability and confound disease signals 97%
- Stratification of human gut microbiomes by succinotype is associated with inflammatory bowel disease status 96%
Similar papers in this journal
- A human gut metagenome-assembled genome catalogue spanning 41 countries supports genome-scale metabolic models 98%
- Cysteine dependence in Lactobacillus iners constitutes a novel therapeutic target to modify the vaginal microbiota 97%
- Hexa-acylated lipopolysaccharides from the gut microbiota enhance cancer immunotherapy responses 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.