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PRJNA849795 SRP382015

Gut microbiome of Gurkha vs non-Gurkha British Army soldiers

Differences in the gut microbiome between different populations of the British Army

Cross-sectional shotgun metagenomics of 40 fecal samples from British Army soldiers (UK), comparing Gurkha and non-Gurkha personnel to examine gut microbiota differences linked to travellers' diarrhoea risk. machine-written summary

38 samples · 40 runs · GB · Age unknown · 2022 · 2.25 Gbp / sample

Sources
✓Sequence archive 76○Abstract / description✓Full text 152✓Supplementary tables 38✓External resources 38–User contribution–Human verified

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

what each source gave
✓ Sequence archive76 sample values (collection date, country)
○ Abstract / descriptionread; no usable statement
✓ Full text152 sample values (lifestyle, lifestyle detail, location region, subject id) · PMC10729956
✓ Supplementary tables38 sample values (health condition detail)
✓ External resources38 sample values (antibiotic exposure) · from BugSigDB
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown38
Country
GB38
Body site
primary38
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: 34 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 4 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 2.25 Gbp per sample0130Gbp
Sampling design and relatedness

military unit — not resolved

38 British Army soldiers from 3 barracks (22 Gurkha, 16 non-Gurkha); per-sample barracks not reported.

How longitudinal and relatedness information is derived

Community composition
Prevotella 25.0%Roseburia 6.9%Phocaeicola 6.5%Faecalibacterium 5.8%Bacteroides 5.5%Bifidobacterium 3.4%Blautia_A 2.7%Ruminococcoides 2.1%Alistipes 2.0%Collinsella 1.9%Gemmiger 1.8%Alloprevotella 1.4%not assigned to a genus 7.1%other genera 27.9%

Genera, mean relative abundance over 31 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%
country38 100%38
health_condition0 0%
subject_id38 100%38
antibiotic_exposure38 100%38
collection_date38 100%38
detailed_location38 100%
health_condition_detail38 100%38
lifestyle38 100%38
lifestyle_detail38 100%38
location_region38 100%38
Papers (1)
  • Differences in the gut microbiota between Gurkhas and soldiers of British origin. 2023 PMID 38113233 PMC10729956 own_data
Details
Archive description

Metagenomics of fecal samples collected from members of the British Army

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “fecal samples collected from members”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN29135607antibiotic_exposurenoR20.60external.bugsigdb sourceAntibiotics exclusion: Recent use of antibiotics
SAMN29135607collection_date2021R10.90biosample.attribute:collection_date2021
SAMN29135607countryGBR10.90sample.attr.geo_loc_nameUnited Kingdom
SAMN29135607health_condition_detailNon-UK Born GurkhaR20.85paper.supp.pone.0292645.s001.xlsx[Data!Group]Non-UK Born Gurkha
SAMN29135607lifestylemilitaryR30.70paper.fulltext.methodsA total of 38 soldiers were recruited from 3 barracks across England
SAMN29135607lifestyle_detailBritish Army soldiers (Gurkha and non-Gurkha)R30.70paper.fulltext.methods38 soldiers were recruited from 3 barracks across England
SAMN29135607location_regionEnglandR30.70paper.fulltext.methodsrecruited from 3 barracks across England
SAMN29135607subject_idSAMN29135607R30.75design.one_sample_per_subject:fulltextParticipants were asked to collect a single sample of faecal material
Sequencing

40 runs over 38 samples · mean 2.34 Gbp per run (median 2.25 Gbp, total 93.42 Gbp; 40 runs with a base count) · layout PAIRED 40 · platform ILLUMINA 40 · models Illumina HiSeq 2500 (40) · 82% of runs with a Sandpiper profile · first public 2022-07-24 – 2022-09-30

Authors (9)

Troth TD first · McInnes RS · Dunn SJ · Mirza J · Whittaker AH · Goodchild SA · Loman NJ · Harding SV · van Schaik W last

Downloads

PRJNA849795.csv.gz (1.9 KB) · parquet (71.4 KB) — all 38 samples, every field with route and confidence · PRJNA849795_determinations.csv.gz (2.7 KB) — 304 evidence rows

Samples (38 · every field this project has values for · hover a cell for its source)
Loading the sample table…