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PRJNA557323 SRP237407

Gut metagenomes from Shatin, Hong Kong, cross-sectional

Human gut metagenomes from Hong Kong populations

556 gut metagenome samples from Shatin, Hong Kong, collected cross-sectionally, used to characterize gut microbial community diversity, including fusobacterial taxa, in a southern Chinese population. machine-written summary

556 samples · 556 runs · HK · Age unknown · 2020 · 7.56 Gbp / sample · cohort Variation in the metagenomic analysis of fecal mic

Sources
✓Sequence archive 2,224○Abstract / description✓Full text 556✓Supplementary tables 300–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive2,224 sample values (country, latitude, location locality, longitude)
○ Abstract / descriptionread; no usable statement
✓ Full text556 sample values (subject id) · PMC10122048, PMC10688793, PMC10798454, PMC10926697, PMC11619352, PMC13067863, PMC13106387, PMC13155725, PMC7569397, PMC9184491
✓ Supplementary tables300 sample values (age, bmi, sex)
– 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 sampling locations · 1 country
Age
unknown456
adult97
elderly3
Sex
male57
female43
Country
HK556
Body site
primary556
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: 2 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 548 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 7.56 Gbp per sample0130Gbp
Community composition
Bacteroides 20.7%Phocaeicola 18.3%Prevotella 7.6%Alistipes 5.7%Faecalibacterium 4.2%Roseburia 2.8%Bifidobacterium 2.2%Parabacteroides 2.1%Lachnospira 1.8%Blautia_A 1.7%Sutterella 1.2%Megamonas 1.1%not assigned to a genus 3.3%other genera 27.4%

Genera, mean relative abundance over 503 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category100 18%
country556 100%556
health_condition0 0%
subject_id556 100%556
detailed_location556 100%
latitude556 100%556
location_locality556 100%556
longitude556 100%556
age_at_collection_days100 18%100
bmi100 18%100
sex100 18%100
Papers (10)
  • Southern Chinese populations harbour non-nucleatum Fusobacteria possessing homologues of the colorectal cancer-associated FadA virulence factor. 2020 PMID 32051205 PMC7569397 own_data
  • ViromeFlowX: a Comprehensive Nextflow-based Automated Workflow for Mining Viral Genomes from Metagenomic Sequencing Data. 2024 PMID 38381034 PMC10926697 own_data
  • Highly Resolved Community Sewage Metagenomics Unveiling Landscape and Transmission Patterns of Antibiotic Resistome in Hong Kong Populations. 2026 PMID 41755800 PMC13067863 own_data
  • Benchmarks for taxonomic classification of jingmenviruses and closely related viruses using newly identified genomic sequences. 2026 PMID 42101460 PMC13155725 own_data
  • Profiling Fusobacterium infection at high taxonomic resolution reveals lineage-specific correlations in colorectal cancer. 2022 PMID 35680952 PMC9184491 unsure
5 more
  • Combing fecal microbial community data to identify consistent obesity-specific microbial signatures and shared metabolic pathways. 2023 PMID 37096041 PMC10122048
  • Profiling of the intestinal community of Clostridia: taxonomy and evolutionary analysis. 2023 PMID 38047279 PMC10688793
  • Finding Candida auris in public metagenomic repositories. 2024 PMID 38241320 PMC10798454
  • Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach. 2024 PMID 39475247 PMC11619352
  • A genomic atlas of gut clostridia: phylogeny, butyrate, and propionate production. 2026 PMID 42039832 PMC13106387
Details
Archive description

The goal of this study is to characterise diversity of gut microbial communities in southern Chinese populations.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.60. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “Human gut metagenomes from Hong Kong populations”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN13509273age_at_collection_days19358R20.85paper.supp.gutjnl-2019-319635supp001.xlsx[Table S2!age (years)]53
SAMN13509273bmi16.8R20.85paper.supp.gutjnl-2019-319635supp001.xlsx[Table S2!BMI]16.8
SAMN13509273countryHKR10.90sample.attr.geo_loc_nameHong Kong: Shatin
SAMN13509273latitude22.3800R10.90biosample.attribute:lat_lon22.38 N 114.20 E
SAMN13509273location_localityShatinR10.85biosample.attribute:geo_loc_nameHong Kong: Shatin
SAMN13509273longitude114.2000R10.90biosample.attribute:lat_lon22.38 N 114.20 E
SAMN13509273sexfemaleR20.85paper.supp.gutjnl-2019-319635supp001.xlsx[Table S2!gender]female
SAMN13509273subject_idSAMN13509273R30.70design.one_sample_per_subject:fulltextAt the time of analysis, the HKGutMicMap cohort representing the general population in Hong Kong consisted of 556 subjects with shotgun metagenome data.
Sequencing

556 runs over 556 samples · mean 7.57 Gbp per run (median 7.56 Gbp, total 4,206.77 Gbp; 556 runs with a base count) · layout PAIRED 556 · platform ILLUMINA 556 · models Illumina NovaSeq 6000 (556) · 90% of runs with a Sandpiper profile · first public 2020-01-16

Authors (45)

Mario-Vasquez JE first · Bagal UR · Lowe E · Morgulis A · Phan J · Sexton DJ · Shiryev S · Slatkevičius R · Welsh R · Litvintseva AP · Blumberg M · Agarwala R · Chow NA last · Xu Z first · Yeoh YK · Tun HM · Fei N · Zhang J · Morrison M · Kamm MA · Yu J · Chan FKL · Ng SC last · Ding J first · Wang M · Xu X · Wang D · Chen X · Li S · Zheng X · Che Y · Deng Y · Lam TTY · Li L · Zhang T last · Sola L first · Candeliere F · Busi E · Raimondi S · Amaretti A · Rossi M last · Colmant AMG first · Parry RH · Charrel R · Coutard B last

Help complete this project

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

Downloads

PRJNA557323.csv.gz (14.3 KB) · parquet (94.1 KB) — all 556 samples, every field with route and confidence · PRJNA557323_determinations.csv.gz (20.6 KB) — 3,080 evidence rows

Samples (556 · every field this project has values for · hover a cell for its source)
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