Gut microbiome in Kazakh adults, cross-sectional study
283 fecal metagenome samples from Kazakhstan and Germany, cross-sectional design comparing Kazakh donors (healthy and metabolic syndrome subjects) with other populations. machine-written summary
283 samples · 2,241 runs · KZ, DE · Age unknown · 2017 · 5.52 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 1,981 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint) |
| ✓ Abstract / description | 4 sample values (health condition detail) |
| ✓ Full text | 283 sample values (antibiotic exposure) · PMC10154212, PMC10810176, PMC10904984, PMC13098223, PMC13269251, PMC5740502, PMC6067398, PMC7298543, PMC8288446, PMC8846514, PMC9387673, PMC9723573 |
| ✓ Supplementary tables | 148 sample values (family id, family role) |
| ✓ External resources | 956 sample values (bmi, health condition, health condition detail, sex) · from curatedMetagenomicData 3 (cMD 3) |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
longitudinalfamiliesmother–infantparent–childpartners / couples
107 of 117 people sampled more than once (273 samples; median 2, up to 12 per person) · follow-up median 3 mo (max 2.5 y) · median interval between samples 3 mo (time from collection dates). Schedule stated by the source: “Same donors sampled in autumn and winter (two seasonal timepoints)” (time origin: enrolment).
Each row is one person (16 shown of 107); dots are samples at days since that person's first sample; rows of one family are adjacent and coloured by role (mother, father, child, twin).
German families: 6 mothers, 6 fathers, 14 children (6 families; Kazakh cohort unrelated) · 6 families with 26 sampled people (6 with a parent and a child).
motherfatherchild · circles are people (pale = no sequenced sample), arrows run donor → recipient and parent → child, curved lines join twins, partners and siblings, squares are shared settings or families without recorded roles. Shown: 6 families. 117 people in the project overall.
Families (6)
Genera, mean relative abundance over 243 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 283 | 100% | 283 | |||
| health_condition | 279 | 99% | 279 | |||
| subject_id | 283 | 100% | 283 | |||
| antibiotic_exposure | 283 | 100% | 283 | |||
| collection_date | 283 | 100% | 283 | |||
| detailed_location | 283 | 100% | ||||
| health_condition_detail | 283 | 100% | 279 | 4 | ||
| latitude | 283 | 100% | 283 | |||
| location_region | 283 | 100% | 283 | |||
| longitude | 283 | 100% | 283 | |||
| timepoint_label | 283 | 100% | 283 | |||
| sex | 230 | 81% | 230 | |||
| bmi | 168 | 59% | 168 | |||
| family_id | 74 | 26% | 74 | |||
| family_role | 74 | 26% | 74 |
- Metagenomic analysis of gut microbial communities from a Central Asian population. 2018 PMID 30056386 PMC6067398 own_data
- Public human microbiome data are dominated by highly developed countries. 2022 PMID 35167588 PMC8846514 own_data
- Subspecies in the global human gut microbiome. 2017 PMID 29242367 PMC5740502 unsure
- Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning. 2020 PMID 32534441 PMC7298543 unsure
- Dispersal strategies shape persistence and evolution of human gut bacteria. 2021 PMID 34111423 PMC8288446 unsure
7 more
- Gut microbiota insights into human adaption to high-plateau diet. 2022 PMID 35989883 PMC9387673
- Effects of laboratory domestication on the rodent gut microbiome. 2021 PMID 36747007 PMC9723573
- Toward an improved definition of a healthy microbiome for healthy aging. 2022 PMID 37118093 PMC10154212
- Meta-analysis reveals obesity associated gut microbial alteration patterns and reproducible contributors of functional shift. 2024 PMID 38265338 PMC10810176
- The gut microbiome of Baka forager-horticulturalists from Cameroon is optimized for wild plant foods. 2024 PMID 38433907 PMC10904984
- The chicken gut virome: spatial structuring and extensive diversity of 19,778 viral populations. 2026 PMID 41910132 PMC13098223
- Strain transmission links human microbiomes along the oral-gut axis and across cohabiting individuals. 2026 PMID 42312244 PMC13269251
Archive description
While population stratification has been extensively studied and quantified in sexually reproducing species, it has been only anecdotally described in others. Here, we conducted a large-scale survey of population stratification in prokaryotic species, sampled from their natural habitat, without isolation or cultivation biases. We surveyed the variation landscape of 71 prevalent microbial species in 2144 human fecal metagenomes, and show that in 44 of these, accounting for 72% of the total assigned microbial abundance, single nucleotide variation can be clustered and stratified into sub-populations (termed subspecies). Individuals are usually dominated by only one such subspecies (per species), as expected of closely related organisms from ecological theory. Geographical dispersal patterns differ between phyla, with Firmicutes subspecies being significantly more geographically restricted. To demonstrate the functional significance of the delineated subspecies, we performed a metagenomic analysis, independent of reference genomes, of the gene content that consistently differs between conspecific subspecies, allowing us to associate groups of genes to properties of the microbial community and to the host. For example, some Eubacterium rectale subspecies specifically harbor an accessory pro-inflammatory flagellum operon that is associated with lower gut community diversity, higher host BMI and higher blood fasting insulin levels. Taken together, subspecies are a natural taxonomic level in prokaryotes and facilitate the functional and ecological understanding of the human gut microbiome in conjunction with its host.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.85. Assay shotgun_dna.
- host run.scientific_name · “Homo sapiens”
- body site study.title · “human gut microbiome”
- body site study.description · “2144 human fecal metagenomes”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA4545280 | antibiotic_exposure | no | R3 | 0.60 | paper.fulltext.results | Antibiotic use in the last 3 months was an exclusion criterion |
| SAMEA4545280 | bmi | 23.62 | R2 | 0.75 | external.cmd source | bmi: 23.62 |
| SAMEA4545280 | collection_date | 2015-01-19 | R1 | 0.90 | biosample.attribute:collection_date | 2015-01-19 |
| SAMEA4545280 | country | KZ | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Kazakhstan |
| SAMEA4545452 | family_id | alien | R2 | 0.85 | paper.supp.41586_2022_5620_MOESM3_ESM.xlsx[Table S2!familyID] | subjectID alien familyID alien |
| SAMEA4545452 | family_role | father | R2 | 0.85 | paper.supp.41586_2022_5620_MOESM3_ESM.xlsx[Table S2!father_subjectID] | subjectID alien role derived from father_subjectID |
| SAMEA4545280 | health_condition | healthy_control | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA4545280 | health_condition_detail | Healthy | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA4545452 | health_condition_detail | mixed_case_control: Study is a large-scale survey of population stratification across 71 microbial species in fecal samp | R4 | 0.30 | study.description | 2144 human fecal metagenomes |
| SAMEA4545280 | latitude | 51.1605 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 51.1605 71.4704 |
| SAMEA4545280 | location_region | Astana Qalasy | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 51.1605 71.4704 |
| SAMEA4545280 | longitude | 71.4704 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 51.1605 71.4704 |
| SAMEA4545280 | sex | female | R2 | 0.75 | external.cmd source | sex: Female |
| SAMEA4545280 | subject_id | 713A002 | R1 | 0.70 | sample.name_rule:title | 713A002-11-0-0 |
| SAMEA4545280 | timepoint_label | 0 | R1 | 0.70 | sample.name_rule:title | 713A002-11-0-0 |
Sequencing
2,241 runs over 283 samples · mean 0.70 Gbp per run (median 0.30 Gbp, total 1,569.84 Gbp; 2,241 runs with a base count) · layout PAIRED 1,122, SINGLE 1,119 · platform ILLUMINA 2,241 · models Illumina HiSeq 2000 (2,241) · 36% of runs with a Sandpiper profile · first public 2017-12-01
Authors (46)
Abdill RJ first · Adamowicz EM · Blekhman R last · Huang Y first · Liu J · Tun HM · Stanton C · Chen T · El-Nezami H · Wei H · Wang M · Wu Q last · Orihara K first · Yahagi K · Saito Y · Watanabe Y · Sasai T · Hara T · Tsukuda N · Oki K · Fujimoto J · Matsuki T last · Chanda D first · De D last · Sáenz JS first · Yergaliyev T · Rios-Galicia B · Seifert J · Camarinha-Silva A last · Heidrich V first · Fackelmann G · Ricci L · Spadazzi R · Baldanzi G · Punčochář M · Catassi G · Marchi P · Modesto M · Piccinno G · Porcari S · Rondinella D · Asnicar F · Valles-Colomer M · Mattarelli P · Ianiro G · Segata N last
Downloads
PRJEB17632.csv.gz (9.5 KB) · parquet (84.2 KB) — all 283 samples, every field with route and confidence · PRJEB17632_determinations.csv.gz (31.1 KB) — 3,372 evidence rows