Home › Studies › PRJEB33013
PRJEB33013 ERP115766

Human gut microbiome in South Korea, cross-sectional

Human gut microbiome

Whole metagenomic sequencing of 61 human gut microbiome samples from South Korea, using a cross-sectional design. No health condition, intervention, or age data were specified. machine-written summary

61 samples · 61 runs · KR · Infant / toddler · 2020 · 6.57 Gbp / sample · cohort Kim 2022 South Korea

Sources
✓Sequence archive 122○Abstract / description✓Full text 61○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 archive122 sample values (collection date, country)
○ Abstract / descriptionread; no usable statement
✓ Full text61 sample values (location site) · PMC10902438, PMC9726757
○ 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
unknown61
Country
KR61
Body site
primary61
Collected 2017–2018
2017: 34 samples2018: 27 samples20172018
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: 55 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 6 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 6.57 Gbp per sample0130Gbp
Community composition
Bifidobacterium 11.9%Faecalibacterium 7.7%Blautia_A 6.8%Prevotella 6.0%Collinsella 4.0%Anaerostipes 3.5%Roseburia 3.2%Phocaeicola 2.8%Mediterraneibacter 2.4%Megamonas 2.0%Bacteroides 2.0%Dialister 1.9%not assigned to a genus 4.0%other genera 41.8%

Genera, mean relative abundance over 56 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%
country61 100%61
health_condition0 0%
subject_id0 0%
collection_date61 100%61
detailed_location61 100%
location_site61 100%61
Papers (2)
  • Different maturation of gut microbiome in Korean children. PMID 36504822 PMC9726757 curated
  • Genomic and ecological approaches to identify the Bifidobacterium breve prototype of the healthy human gut microbiota. PMID 38426063 PMC10902438 curated
Details
Archive description

whole metagenomic sequencing for human gut microbiome.

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “Human gut microbiome”
  • body site study.description · “sequencing for human gut microbiome.”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA6104850collection_date2017-10-19R10.85biosample.attribute:collection_datecollection_date: 2017-10-19
SAMEA6104850countryKRR10.90biosample_attrSouth Korea
SAMEA6104850location_siteHanyang University HospitalR30.70paper.fulltext.methodsvisited the Hanyang University Hospital in South Korea
Sequencing

61 runs over 61 samples · mean 7.27 Gbp per run (median 6.57 Gbp, total 443.25 Gbp; 61 runs with a base count) · layout PAIRED 61 · platform ILLUMINA 61 · models Illumina HiSeq 4000 (61) · 92% of runs with a Sandpiper profile · first public 2020-09-15

Authors (25)

Kim J first · Kim E · Kim B · Lee HJ · Park JS · Hwang S · Rho M · Pai H last · Argentini C first · Lugli GA · Tarracchini C · Fontana F · Mancabelli L · Viappiani A · Anzalone R · Angelini L · Alessandri G · Longhi G · Bianchi MG · Taurino G · Bussolati O · Milani C · van Sinderen D · Turroni F · Ventura M last

Help complete this project

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

Downloads

PRJEB33013.csv.gz (2.5 KB) · parquet (71.4 KB) — all 61 samples, every field with route and confidence · PRJEB33013_determinations.csv.gz (1.5 KB) — 183 evidence rows

Samples (61 · every field this project has values for · hover a cell for its source)
Loading the sample table…