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PRJEB46788 ERP131018

Human-gut microbiota codiversification across populations

Codiversification of gut microbiota with humans

Cross-sectional study of 2750 gut metagenome samples from paired human genome/microbiome individuals across Europe, Asia and Africa, including mothers and children, examining codiversification between host and gut microbiota. machine-written summary

2,750 samples · 2,750 runs · VN, GA, DE · Infant / toddler · 2022 · 0.31 Gbp / sample

Sources
✓Sequence archive 2,668○Abstract / description○Full text✓Supplementary tables 8,560–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive2,668 sample values (subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC11019788, PMC11494892, PMC12688249
✓ Supplementary tables8,560 sample values (age, country, health condition, health condition detail, sex)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
5 countries
Age
adult1,720
unknown701
infant252
adolescent46
neonate18
elderly13
Condition
healthy_control1,763
Sex
female868
male36
Country
VN685
GA659
DE472
ZA173
KR92
Body site
primary2,750
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 180 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 162 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 952 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 1,197 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 206 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 52 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 0.31 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalmother–infant — not resolved

900 of 900 people sampled more than once (2,658 samples; median 3, up to 10 per person) · follow-up median 7 d (max 10 d) · median interval between samples 7 d (time from age at collection).

G0023G0023: day 0G0023: day 6G0023: day 6G0048G0048: day 0G0048: day 6G0048: day 6G0048: day 6G0067G0067: day 0G0067: day 5G0067: day 5G0073G0073: day 0G0073: day 8G0073: day 8G0091G0091: day 0G0091: day 6G0091: day 6G0091: day 6G0091: day 6G0158G0158: day 0G0158: day 0G0158: day 5G0158: day 5G0176G0176: day 0G0176: day 9G0176: day 9G0186G0186: day 0G0186: day 0G0186: day 6G0186: day 6G0190G0190: day 0G0190: day 5G0190: day 5G0240G0240: day 0G0240: day 5G0240: day 5G0247G0247: day 0G0247: day 6G0247: day 6G0278G0278: day 0G0278: day 9G0278: day 9G0278: day 9G0278: day 9G0313G0313: day 0G0313: day 6G0313: day 6G0317G0317: day 0G0317: day 8G0317: day 8G0323G0323: day 0G0323: day 8G0323: day 8G0327G0327: day 0G0327: day 6G0327: day 6G0329G0329: day 0G0329: day 7G0329: day 7G0403G0403: day 0G0403: day 9G0403: day 9T168T168: day 0T168: day 7T168: day 7T168: day 7T168: day 7T278T278: day 0T278: day 8T278: day 8T278: day 8T278: day 8V021V021: day 0V021: day 4V021: day 4V021: day 4V021: day 4V041V041: day 0V041: day 8V041: day 8V041: day 8V041: day 8V053V053: day 0V053: day 5V053: day 5V053: day 5V053: day 5V053: day 5V061V061: day 0V061: day 5V061: day 5V061: day 5V061: day 5V079V079: day 0V079: day 6V079: day 6V079: day 6V079: day 6V085V085: day 0V085: day 6V085: day 6V085: day 6V085: day 6V124V124: day 0V124: day 8V124: day 8V124: day 8V124: day 8V173V173: day 0V173: day 6V173: day 6V173: day 6V173: day 6V247V247: day 0V247: day 8V247: day 8V247: day 8V247: day 8V295V295: day 0V295: day 7V295: day 7V295: day 7V295: day 7V299V299: day 0V299: day 0V299: day 8V299: day 8V299: day 8V299: day 8V303V303: day 0V303: day 6V303: day 6V303: day 6V303: day 6V353V353: day 0V353: day 6V353: day 6V353: day 6V353: day 6V360V360: day 0V360: day 0V360: day 6V360: day 6V360: day 6V360: day 6V373V373: day 0V373: day 0V373: day 6V373: day 6V373: day 6V373: day 6V381V381: day 0V381: day 7V381: day 7V381: day 7V381: day 70 d2 d4 d7 d9 d

Each row is one person (36 shown of 900); dots are samples at days since that person's first sample.

Cohort of 1,225 people incl. mothers and their children (Suzuki 2022); per-sample mother–child linkage not in archive metadata.

How longitudinal and relatedness information is derived

Community composition
Prevotella 18.0%Bacteroides 8.9%Bifidobacterium 7.6%Phocaeicola 6.0%Roseburia 3.1%Faecalibacterium 2.3%Escherichia 2.2%Alistipes 1.5%Lachnospira 1.4%Veillonella 1.3%Succinivibrio 1.3%Cryptobacteroides 1.2%not assigned to a genus 18.4%other genera 26.8%

Genera, mean relative abundance over 2,161 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category2,049 75%
country2,081 76%2,081
health_condition1,763 64%1,763
subject_id2,658 97%2,658
age_at_collection_days2,049 75%2,049
health_condition_detail1,763 64%1,763
sex904 33%904
timepoint_label10 0%10
Papers (3)
  • Taxonomic and metabolic development of the human gut microbiome across life stages: a worldwide metagenomic investigation. PMID 38441032 PMC11019788 curated
  • Exploring the vitamin biosynthesis landscape of the human gut microbiota. PMID 39287373 PMC11494892 curated
  • Infection with gut parasites correlates with gut microbiome diversity across human populations in Africa. PMID 41358671 PMC12688249 curated
Details
Archive description

The gut microbiomes of human populations worldwide have many core microbial species in common. However, within a species, some strains can show remarkable population specificity. The question is whether such specificity arises from a shared evolutionary history (codiversification) between humans and their microbes. To test for codiversification of host and microbiota, we analyzed paired gut metagenomes and human genomes for 1225 individuals in Europe, Asia and Africa, including mothers and children. Between and within countries, a parallel evolutionary history was evident for humans and their gut microbes. Moreover, species displaying the strongest codiversification independently evolved traits characteristic of host dependency, including reduced genomes, and oxygen and temperature sensitivity. These findings all point to the importance of understanding the potential role of population-specific microbial strains in microbiome-mediated disease phenotypes. Please note: 1) Metagenomes with the same study ID, but different “_X” appendages, where X is an integer, are technical replicates of the same biological sample (which were aggregated before using in the study). 2) The number of reads reported in the manuscript's supplement are less than that reflected in the ENA metadata this is because the former are post-QC read counts, and the latter are raw sequencing read counts.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler and child and adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “Codiversification of gut microbiota with humans”
  • body site study.description · “The gut microbiomes of human”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.description · “including mothers and children . Between and”
  • life stage study.description · “and Africa, including mothers and children. Between”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA111355071age_at_collection_days10958.0R20.85paper.supp.msystems.00929-24-s0003.xlsx[Table S1!Age (years)]ERR10207278: 30
SAMEA111355071countryVNR20.75paper.supp.tableGeographic origin=Vietnam
SAMEA111355071health_conditionhealthy_controlR20.85paper.supp.msystems.00929-24-s0003.xlsx[Table S1!Disease]ERR10207278: NO
SAMEA111355071health_condition_detailNOR20.85paper.supp.msystems.00929-24-s0003.xlsx[Table S1!Disease]ERR10207278: NO
SAMEA111355105sexfemaleR20.85paper.supp.tablesex=F
SAMEA111355069subject_idV238R10.70sample.name_rule:aliasV238_1
SAMEA111407927timepoint_labelD12R10.70sample.titleS1919_plate1_D12
Sequencing

2,750 runs over 2,750 samples · mean 0.50 Gbp per run (median 0.31 Gbp, total 1,371.15 Gbp; 2,750 runs with a base count) · layout PAIRED 2,750 · platform ILLUMINA 2,750 · models Illumina HiSeq 3000 (2,750) · 79% of runs with a Sandpiper profile · first public 2022-09-16 – 2022-09-29

Authors (31)

Mancabelli L first · Milani C · De Biase R · Bocchio F · Fontana F · Lugli GA · Alessandri G · Tarracchini C · Viappiani A · De Conto F · Nouvenne A · Ticinesi A · Bussolati O · Meschi T · Cecchi R · Turroni F · Ventura M last · van Sinderen D · Ngwese MM first · Adegbite BR · Zinsou JF · Fitzstevens JL · Schmidt VT · Moure PAN · Maloum MN · Tyakht AV · Huus KE · Youngblut ND · Kremsner PG · Adegnika AA · Ley RE last

Downloads

PRJEB46788.csv.gz (71.5 KB) · parquet (192.5 KB) — all 2,750 samples, every field with route and confidence · PRJEB46788_determinations.csv.gz (133.8 KB) — 11,228 evidence rows

Samples (2,750 · every field this project has values for · hover a cell for its source)
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