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PRJNA564397 SRP221014

Gut microbiome in urban and rural Central India

Metagenomics Reveals Impact of Geography, Antibiotics and Acute Diarrhoeal Disease on the Gut Microbiome of Central Indian Populations

Cross-sectional shotgun metagenomics of 107 fecal samples from adults in urban and rural Central India, examining geography, antibiotic resistance, and acute diarrheal disease including Clostridioides difficile. machine-written summary

107 samples · 107 runs · IN · Age unknown · 2019 · 3.08 Gbp / sample

Sources
✓Sequence archive 535○Abstract / description○Full text○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 archive535 sample values (collection date, country, latitude, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC7781581
○ 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 sampling locations · 1 country
Age
adult107
Country
IN107
Body site
primary107
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: 37 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 63 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 7 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 3.08 Gbp per sample0130Gbp
Community composition
Prevotella 16.6%Bacteroides 9.7%Escherichia 7.4%Phocaeicola 5.9%Faecalibacterium 4.6%CAG-568 3.2%Roseburia 2.9%Klebsiella 2.9%Bifidobacterium 2.1%Alistipes 1.5%Alloprevotella 1.5%Vescimonas 1.5%not assigned to a genus 7.8%other genera 32.3%

Genera, mean relative abundance over 98 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category107 100%
country107 100%107
health_condition0 0%
subject_id0 0%
collection_date107 100%107
detailed_location107 100%
latitude107 100%107
location_region107 100%107
longitude107 100%107
Papers (3)
  • Metagenomics reveals impact of geography and acute diarrheal disease on the Central Indian human gut microbiome. 2020 PMID 32459982 PMC7781581 own_data
  • Metagenomic assembled plasmids of the human microbiome vary across disease cohorts. 2022 PMID 35654877 PMC9163076 unsure
  • Antimicrobial resistance burden, and mechanisms of its emergence in gut microbiomes of Indian population. 2024 PMID 41853539 PMC12993557 unsure
Details
Archive description

Collection of feacal samples collected from urban and rural Indian populations

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.65. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “feacal samples collected from urban and rural”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN12711606collection_date2018R10.90biosample.attribute:collection_date2018
SAMN12711606countryINR10.90sample.attr.geo_loc_nameIndia
SAMN12711606latitude21.1400R10.90biosample.attribute:lat_lon21.14 N 79.08 E
SAMN12711606location_regionMaharashtraR10.60biosample.attribute:lat_lon21.14 N 79.08 E
SAMN12711606longitude79.0800R10.90biosample.attribute:lat_lon21.14 N 79.08 E
Sequencing

107 runs over 107 samples · mean 3.71 Gbp per run (median 3.08 Gbp, total 396.83 Gbp; 107 runs with a base count) · layout PAIRED 107 · platform ILLUMINA 107 · models Illumina HiSeq 3000 (107) · 93% of runs with a Sandpiper profile · first public 2019-09-10

Authors (36)

Monaghan TM first · Sloan TJ · Stockdale SR · Blanchard AM · Emes RD · Wilcox M · Biswas R · Nashine R · Manke S · Gandhi J · Jain P · Bhotmange S · Ambalkar S · Satav A · Draper LA · Hill C · Kashyap RS last · Harrington RS · Shkoporov AN · Khokhlova EV · Daly KM · McDonnell SA · O'Reagan O · Nolan JA · Sheehan D · Lavelle A · Shanahan F · Ross RP · Chandel N first · Gorremuchu JP · Thakur V last · Schroer HW first · Beghini F · Raygoza Garay JA · Christakis NA · Bosch DE last

Help complete this project

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

Downloads

PRJNA564397.csv.gz (3.2 KB) · parquet (73.5 KB) — all 107 samples, every field with route and confidence · PRJNA564397_determinations.csv.gz (3.2 KB) — 535 evidence rows

Samples (107 · every field this project has values for · hover a cell for its source)
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