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PRJEB46398 ERP130583

Gut microbiome of recreational runners, longitudinal

The gut microbiomes of recreational athletes reflect differences in fitness levels and training load

240 faecal metagenome samples from healthy adult recreational (non-elite) runners (n=62), collected at 4 time points over 7 weeks, examined for links to fitness level and training load; longitudinal design. machine-written summary

240 samples · 240 runs · IE · Adult · 2023 · 1.25 Gbp / sample

Sources
○Sequence archive✓Abstract / description 240✓Full text 480✓Supplementary tables 1,200✓External resources 720–User contribution–Human verified

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

what each source gave
○ Sequence archiverecords read; no usable sample values
✓ Abstract / description240 sample values (lifestyle detail)
✓ Full text480 sample values (location locality, location site) · PMC11684919, PMC11829997
✓ Supplementary tables1,200 sample values (age, bmi, sex, subject id, timepoint)
✓ External resources720 sample values (country, health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

design observational_with_procedure

Samples at a glance
1 country
Age
adult240
Condition
healthy_control240
Sex
male151
female89
Country
IE240
Body site
primary240
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 3 samplesall 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 %)this project, 0.3–1 Gbp: 50 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 181 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 6 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 1.25 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

62 of 62 people sampled more than once (240 samples; median 4, up to 4 per person). Schedule stated by the source: “4 stool samples per participant over a 7-week period”; stated follow-up 49 d.

How longitudinal and relatedness information is derived

Community composition
Faecalibacterium 7.6%Roseburia 7.6%Blautia_A 6.4%Prevotella 4.3%Ruminococcoides 3.8%Bifidobacterium 3.4%Phocaeicola 3.0%Bacteroides 2.9%Gemmiger 2.4%Dialister 2.1%Coprococcus 2.0%Fusicatenibacter 1.9%not assigned to a genus 10.6%other genera 41.9%

Genera, mean relative abundance over 214 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category240 100%
country240 100%240
health_condition240 100%240
subject_id240 100%240
age_at_collection_days240 100%240
bmi240 100%240
detailed_location240 100%
health_condition_detail240 100%240
lifestyle_detail240 100%240
location_locality240 100%240
location_site240 100%240
sex240 100%240
timepoint_label240 100%240
Papers (2)
  • Temporal stability and lack of variance in microbiome composition and functionality in fit recreational athletes. 2025 PMID 39955324 PMC11829997 own_data
  • Cataloging metagenome-assembled genomes and microbial genes from the athlete gut microbiome. 2024 PMID 39741946 PMC11684919 unsure
Details
Archive description

The gut microbiomes of recreational athletes reflect differences in fitness levels and training load

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.57. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.title · “recreational athletes reflect differences”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA8985339age_at_collection_days13514.0R20.80paper.supp.41598_2025_88723_MOESM1_ESM.xlsx[Supp_T.2!Age]37
SAMEA8985339bmi24.75R20.80paper.supp.41598_2025_88723_MOESM1_ESM.xlsx[Supp_T.2!BMI]24.7531
SAMEA8985339countryIER20.75external.gmrepo sourcecountry: Ireland
SAMEA8985339health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMEA8985339health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMEA8985339lifestyle_detailrecreational (non-elite) runnersR40.45paper.abstractrecreational (non-elite) runners (n = 62) with serial
SAMEA8985339location_localityCorkR30.70paper.fulltext.methodsCork Teaching Hospitals, Cork, Ireland
SAMEA8985339location_siteCork Teaching HospitalsR30.70paper.fulltext.methodsCork Teaching Hospitals, Cork, Ireland
SAMEA8985339sexmaleR20.80paper.supp.41598_2025_88723_MOESM1_ESM.xlsx[Supp_T.2!Sex]Male
SAMEA8985339subject_idParticipant 1004R20.80paper.supp.41598_2025_88723_MOESM1_ESM.xlsx[Supp_T.2!Participant]Participant 1004
SAMEA8985339timepoint_labelVisit 2R20.80paper.supp.41598_2025_88723_MOESM1_ESM.xlsx[Supp_T.2!Visit]Visit 2
Sequencing

240 runs over 240 samples · mean 1.31 Gbp per run (median 1.25 Gbp, total 314.96 Gbp; 240 runs with a base count) · layout PAIRED 240 · platform ILLUMINA 240 · models NextSeq 500 (240) · 89% of runs with a Sandpiper profile · first public 2023-01-26 – 2023-01-28

Authors (12)

Wosinska L first · Walsh LH · Walsh CJ · Cotter PD · Guinane CM · O'Sullivan O last · O' Donovan CM first · Nori SRC · Shanahan F · Celentano G · Murphy TB · Sullivan OO last

Downloads

PRJEB46398.csv.gz (7.2 KB) · parquet (79.9 KB) — all 240 samples, every field with route and confidence · PRJEB46398_determinations.csv.gz (15.0 KB) — 2,640 evidence rows

Samples (240 · every field this project has values for · hover a cell for its source)
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