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PRJEB58441 ERP143500

Hominid gut microbiome across lifestyles in Tanzania

Hominid host-microbiome co-adaptive response on a leash

Cross-sectional study of 587 gut metagenome samples from five hominid populations in Tanzania (two urban human groups, Hadza hunter-gatherers, two chimpanzee populations), examining microbiome composition and diet-related functional variation. machine-written summary

481 samples · 587 runs · TZ · Age unknown · 2022 · 14.90 Gbp / sample

Sources
✓Sequence archive 962✓Abstract / description 481○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive962 sample values (collection date, country)
✓ Abstract / description481 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC11959905, PMC13182958
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown481
Country
TZ481
Body site
primary481
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 11 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 463 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 7 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 14.81 Gbp per sample0130Gbp
Community composition
Prevotella 16.0%Faecalibacterium 5.6%Cryptobacteroides 4.3%Vescimonas 3.5%Roseburia 2.4%Hominicoprocola 2.2%Gemmiger 2.0%Ruminococcoides 2.0%Bacteroides 1.8%CAG-170 1.7%Paratractidigestivibacter 1.6%Collinsella 1.4%not assigned to a genus 5.0%other genera 50.3%

Genera, mean relative abundance over 524 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country481 100%481
health_condition0 0%
subject_id0 0%
collection_date481 100%481
health_condition_detail481 100%481
Papers (2)
  • Genomic and functional co-diversification imprint African Hominidae microbiomes to signal dietary and lifestyle adaptations. 2025 PMID 40164980 PMC11959905 own_data
  • A Hadza-enriched <i>Prevotella/Segatella</i> xyloglucanase shows sequence conservation and functional specialization. 2026 PMID 42158361 PMC13182958 own_data
Details
Archive description

Host microbiome interactions are complex and often select for traits that benefit one or both mutualistic partners. Co-adaptive responses emerge from these interactions to increase the fitness of the host, microbiome or both. Here we investigated the evolutionary signature impact on hominidae-microbiome composition and functions that explain host-microbiome co-evolutionary adaptation to different lifestyles (e.g., dietary breakdown, pathogens and antimicrobial resistance). 586 microbiomes from five hominid populations that span different evolutionary steps and lifestyles in Tanzania were characterised using deep-sequencing metagenomics: two urban human populations, hunter-gatherer (Hadza), and two chimpanzee populations. Our results showed host evolutionary trait signatures onto gut microbiome bacteria, viruses, parasites, CAZyme genes, antimicrobial resistance genes and metabolic pathways. Different populations harboured differently abundant bacterial taxa, even at strain phylogenies, and mirrored the host adaptive fitness in the environment to serve the host physiological demands, e.g., pectin degrading bacteria were more abundant in chimpanzee guts compared to others, and fructose fermenting bacteria were more abundant in Hadza guts. Hominid microbiomes also showed varying dietary-derived eukaryotic signals that correspond to the varying bacterial loads to target those dietary intakes (increased fruits and plants in Hadza and chimpanzee guts, respectively). Antimicrobial resistant genes were also more abundant in urban populations where modern medicine (e.g., antibiotics) are more practiced compared to chimpanzees and Hadza populations. Our results show that hominid microbiomes form a tight mutualistic relationship with their hosts that uniformly enhances both partner fitness in nature, and serves the function demands that surfaced during the co-evolutionary course of the association.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.62. Assay shotgun_dna.

  • host study.description · “586 microbiomes from five hominid populations”
  • host study.description · “two urban human populations, hunter-gatherer (Hadza)”
  • body site run.scientific_name · “feces metagenome”
  • body site study.description · “pectin degrading bacteria were more abundant in chimpanzee guts”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA112254110collection_date2015R10.90biosample.attribute:collection_date2015
SAMEA112254110countryTZR10.90sample.attr.geographic_location_country_and_or_seaTanzania
SAMEA112254110health_condition_detailmixed_case_control: Mixed cohort: urban humans, indigenous Hadza, and wild chimpanzees; no unified health status statedR40.50study.descriptiontwo urban human populations, hunter-gatherer (Hadza), and two chimpanzee populations
Sequencing

587 runs over 481 samples · mean 15.82 Gbp per run (median 14.90 Gbp, total 9,287.77 Gbp; 587 runs with a base count) · layout PAIRED 587 · platform ILLUMINA 587 · models Illumina NovaSeq 6000 (587) · 89% of runs with a Sandpiper profile · first public 2022-12-20 – 2023-01-09

Authors (21)

Otani S first · Louise Jespersen M · Brinch C · Duus Møller F · Pilgaard B · Egholm Bruun Jensen E · Leekitcharoenphon P · Aaby Svendsen C · Aarestrup AH · Sonda T · Sylvina TJ · Leach J · Piel A · Stewart F · Sapountzis P · Kazyoba PE · Kumburu H · Aarestrup FM last · Kjærgaard Munk K · Fjermedal S · Meyer AS

Help complete this project

3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata

Downloads

PRJEB58441.csv.gz (12.1 KB) · parquet (86.5 KB) — all 481 samples, every field with route and confidence · PRJEB58441_determinations.csv.gz (7.9 KB) — 1,443 evidence rows

Samples (481 · every field this project has values for · hover a cell for its source)
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