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PRJNA328899 SRP080787

Gut metagenome, carbohydrate diet switch, Mongolia/China

Mongolian Metagenome

110 gut metagenome samples from healthy individuals in Mongolia (Ulan Bator, Khentii, Tuv) and Inner Mongolia, China, studying effects of staple carbohydrate (wheat, rice, oat) on gut microbiota in a cross-sectional design. machine-written summary

110 samples · 110 runs · MN · Age unknown · 2016 · 7.63 Gbp / sample

Sources
✓Sequence archive 473○Abstract / description○Full text○Supplementary tables✓External resources 220–User contribution–Human verified

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

what each source gave
✓ Sequence archive473 sample values (collection date, country, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC5359301, PMC8201803
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources220 sample values (health condition, health condition detail) · from curatedMetagenomicData 3 (cMD 3)
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
6 sampling locations · 1 country
Age
unknown110
Condition
healthy_control110
Country
MN63
Body site
primary110
Collected 2010–2013
2010: 59 samples2013: 51 samples20102013
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: 80 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 30 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 7.63 Gbp per sample0130Gbp
! Self-contradictory metadata

country: sequence archive and curatedMetagenomicData disagree for 47 samples (e.g. CN vs MN) — withheld.

The sources disagree on 47 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (40 of 47)
samplefieldvalueother valuehandling
SAMN05414954countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414955countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414956countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414957countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414958countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414959countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414960countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414961countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414962countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414963countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414964countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414965countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414966countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414967countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414968countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414969countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414970countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414971countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414972countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414973countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414974countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414975countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414976countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414977countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414978countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414979countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414980countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414981countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414982countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414983countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414984countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414985countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414986countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414987countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414988countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414989countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414990countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414991countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414992countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
SAMN05414993countryCN (sequence archive)MN (curatedMetagenomicData)withheld: neither value published
Sampling design and relatedness

longitudinal — not resolved

Schedule stated by the source: “fecal samples at 4 time points, week 0 to week 3, staple food changed weekly” (time origin: intervention_start); stated follow-up 21 d.

How longitudinal and relatedness information is derived

Community composition
Prevotella 18.5%Faecalibacterium 10.0%Bifidobacterium 6.4%Vescimonas 5.2%Roseburia 3.5%Collinsella 3.2%Hominicoprocola 2.6%Alistipes 2.3%Bacteroides 1.8%Cryptobacteroides 1.7%Alloprevotella 1.6%CAG-103 1.4%not assigned to a genus 6.9%other genera 34.9%

Genera, mean relative abundance over 102 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%
country63 57%63
health_condition110 100%110
subject_id0 0%
collection_date110 100%110
health_condition_detail110 100%110
latitude110 100%110
longitude110 100%110
detailed_location79 72%
location_region48 44%48
location_locality32 29%32
Papers (12)
  • A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases. 2021 PMID 34083435 PMC8201803 own_data
  • Carbohydrate Staple Food Modulates Gut Microbiota of Mongolians in China. 2017 PMID 28377764 PMC5359301 own_data
  • Unique Features of Ethnic Mongolian Gut Microbiome revealed by metagenomic analysis. 2016 PMID 27708392 PMC5052615 unsure
  • Biogeographic study of human gut-associated crAssphage suggests impacts from industrialization and recent expansion. 2020 PMID 31940321 PMC6961876 unsure
  • Characterizing Enterotypes in Human Metagenomics: A Viral Perspective. 2021 PMID 34659174 PMC8511818 unsure
7 more
  • Gut microbiota insights into human adaption to high-plateau diet. 2022 PMID 35989883 PMC9387673
  • The microbiome's fiber degradation profile and its relationship with the host diet. 2022 PMID 36464700 PMC9721016
  • Plasmids in the human gut reveal neutral dispersal and recombination that is overpowered by inflammatory diseases. 2024 PMID 38605009 PMC11009399
  • Microbiota-driven antitumour immunity mediated by dendritic cell migration. 2025 PMID 40659786 PMC12390848
  • Gut bacteria metabolize natural and synthetic steroid hormones via the reductive OsrABC pathway. 2025 PMID 41118772 PMC13059687
  • A genomic atlas of gut clostridia: phylogeny, butyrate, and propionate production. 2026 PMID 42039832 PMC13106387
  • Plasmid dispersal and recombination across human gut microbiomes is neutral, but overpowered by inflammatory diseases 2023
Details
Archive description

Mongolian Metagenome

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.57. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN05414891collection_date2013-06R10.90biosample.attribute:collection_date2013-06
SAMN05414891countryMNR10.90sample.attr.geo_loc_nameMongolia: Ulan Bator
SAMN05414891health_conditionhealthy_controlR20.75external.cmd sourcedisease: Healthy
SAMN05414891health_condition_detailHealthyR20.75external.cmd sourcedisease: Healthy
SAMN05414891latitude47.5500R10.90biosample.attribute:lat_lon47.55 N 106.53 E
SAMN05414891location_localityUlaanbaatarR10.75biosample.attribute:geo_loc_nameMongolia: Ulan Bator
SAMN05414922location_regionCentral AimakR10.60biosample.attribute:lat_lon47.55 N 106.84 E
SAMN05414954location_regionInner MongoliaR10.85biosample.attribute:geo_loc_nameChina: Inner Mongolia
SAMN05414891longitude106.5300R10.90biosample.attribute:lat_lon47.55 N 106.53 E
Sequencing

110 runs over 110 samples · mean 8.58 Gbp per run (median 7.63 Gbp, total 943.30 Gbp; 110 runs with a base count) · layout PAIRED 110 · platform ILLUMINA 110 · models Illumina HiSeq 4000 (110) · 93% of runs with a Sandpiper profile · first public 2016-08-08

Authors (85)

Pasolli E first · Asnicar F · Manara S · Zolfo M · Karcher N · Armanini F · Beghini F · Manghi P · Tett A · Ghensi P · Collado MC · Rice BL · DuLong C · Morgan XC · Golden CD · Quince C · Huttenhower C · Segata N last · Tisza MJ first · Buck CB last · Huang Y first · Liu J · Tun HM · Stanton C · Chen T · El-Nezami H · Wei H · Wang M · Wu Q last · Levy S · Arp G · Zhong A · Ndjite GM · Weiss A · Braccia D · Jenkins C · Grant MR · Abeysinghe S · Yang Y · Jermain MD · Wu CH · Ma B · Nooij S first · Plomp N · Sanders IMJG · Schout L · van der Meulen AE · Terveer EM · Norman JM · Larralde MF · Vossen RHAM · Kloet SL · Faber KN · Harmsen HJM · Zeller GF · Kuijper EJ · Smits WK · Ducarmon QR last · Jacoby C first · Scorza K · Ecker L · Nol Bernardino P · Little AS · McMillin M · Ramaswamy R · Sundararajan A · Sidebottom AM · Lin H · Dufault-Thompson K · Hall B · Jiang X · Light SH last · Sola L first · Candeliere F · Busi E · Raimondi S · Amaretti A · Rossi M last · Mizrahi I first · Zorea A · Pellow D · Levin L · Pilosof S · Friedman J · Shamir R last

Help complete this project

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

Downloads

PRJNA328899.csv.gz (3.7 KB) · parquet (74.8 KB) — all 110 samples, every field with route and confidence · PRJNA328899_determinations.csv.gz (6.5 KB) — 693 evidence rows

Samples (110 · every field this project has values for · hover a cell for its source)
Loading the sample table…