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PRJEB54728 ERP139578

Microbiota across glucose groups in Mongolian adults, China

Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China

Cross-sectional metagenomic study of 24 fecal samples from Mongolian adults in China, comparing gut microbiota and metabolic function among type 2 diabetes, prediabetes, and healthy groups. machine-written summary

24 samples · 24 runs · CN · Adult · 2022 · 3.45 Gbp / sample

Sources
✓Sequence archive 48✓Abstract / description 24✓Full text 48○Supplementary tables✓External resources 24–User contribution–Human verified

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

what each source gave
✓ Sequence archive48 sample values (health condition, health condition detail)
✓ Abstract / description24 sample values (subject id)
✓ Full text48 sample values (antibiotic exposure, location region) · PMC10105465
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources24 sample values (country) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult24
Condition
healthy_control12
type2_diabetes12
Country
CN24
Body site
primary24
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 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 23 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all 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 3.45 Gbp per sample0130Gbp
Community composition
Phocaeicola 19.3%Bacteroides 15.0%Prevotella 7.6%Roseburia 5.3%Faecalibacterium 5.1%Ruminococcoides 3.3%Alistipes 3.1%Lachnospira 2.0%Blautia_A 1.8%Bifidobacterium 1.6%Parabacteroides 1.5%Escherichia 1.2%not assigned to a genus 5.1%other genera 28.0%

Genera, mean relative abundance over 24 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category24 100%
country24 100%24
health_condition24 100%24
subject_id24 100%24
antibiotic_exposure24 100%24
detailed_location24 100%
health_condition_detail24 100%24
location_region24 100%24
Papers (2)
  • Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China. 2023 PMID 37060052 PMC10105465 own_data
  • Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China 2022 own_data
Details
Archive description

We recruited 24 Mongolian volunteers,6 of which were T2D cases(sample T1-T6), 6 were prediabetes cases(sample P1-P6), and 12 were health cases(sample C1-C12). The metagenomic analysis of gut microbiota from the volunteers’ fecal samples was performed. We compared the microbial differences in the three groups, and analyzed the differences of the stool microbial function.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.scientific_name · “Homo sapiens(24)”
  • host study.description · “24 Mongolian volunteers”
  • body site study.description · “gut microbiota from the volunteers' fecal samples”
  • life stage study.title · “different fasting plasma glucose groups”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA110359324antibiotic_exposurenoR30.70paper.body.methodsHave not taken any antibiotics for nearly a month
SAMEA110359324countryCNR20.75external.gmrepo sourcecountry: China
SAMEA110359324health_conditiontype2_diabetesR10.90biosample_attrtype 2 diabetes mellitus
SAMEA110359324health_condition_detaildiabetes mellitus type 2 associated cataractR10.90sample.attr.clinical_informationdiabetes mellitus type 2 associated cataract
SAMEA110359324location_regionInner MongoliaR30.70paper.body.methodsThis study recruited Mongolian volunteers in Inner Mongolia of China
SAMEA110359324subject_idSAMEA110359324R40.60design.one_sample_per_subject:abstract24 Mongolian volunteers that were divided into T2D (6 cases), PRET2D (6 cases) and Control group (12 cases)
Sequencing

24 runs over 24 samples · mean 3.49 Gbp per run (median 3.45 Gbp, total 83.88 Gbp; 24 runs with a base count) · layout SINGLE 24 · platform ILLUMINA 24 · models Illumina NovaSeq 6000 (24) · 100% of runs with a Sandpiper profile · first public 2022-07-29

Authors (0)

No author record.

Downloads

PRJEB54728.csv.gz (1.5 KB) · parquet (70.4 KB) — all 24 samples, every field with route and confidence · PRJEB54728_determinations.csv.gz (1.9 KB) — 144 evidence rows

Samples (24 · every field this project has values for · hover a cell for its source)
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