Athlete Gut Microbiome and Exercise, USA
87 gut metagenome samples from rowers, marathon runners, and sedentary controls in the USA, collected before and after exercise, in an intervention study on exercise-induced changes in the gut microbiome. machine-written summary
87 samples · 87 runs · US · Adult · 2019 · 0.36 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 426 sample values (collection date, country, latitude, location region, longitude) |
| ✓ Abstract / description | 87 sample values (health condition detail) |
| ○ Full text | read; no usable statement or table · PMC11684919, PMC7368972, PMC9045144, PMC9926762 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Exercise / physical-training programme · population healthy_control · Metagenomic sampling of athletes/sedentary controls before and after exercise/marathon
“rowers, marathon runners, and sedentary controls before and after exercise” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal — not resolved
Schedule stated by the source: “Samples collected before and after exercise in athletes (rowers, marathon runners) and sedentary controls; exact schedule/timing not detailed numerically.”.
Genera, mean relative abundance over 9 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 87 | 100% | ||||
| country | 87 | 100% | 87 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| detailed_location | 87 | 100% | ||||
| health_condition_detail | 87 | 100% | 87 | |||
| latitude | 87 | 100% | 87 | |||
| location_region | 87 | 100% | 87 | |||
| longitude | 87 | 100% | 87 | |||
| collection_date | 78 | 90% | 78 |
- Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism. 2019 PMID 31235964 PMC7368972 own_data
- Investigation of the Ecological Link between Recurrent Microbial Human Gut Communities and Physical Activity. 2022 PMID 35377222 PMC9045144 unsure
- The human gut microbiome of athletes: metagenomic and metabolic insights. 2023 PMID 36782241 PMC9926762 unsure
- Cataloging metagenome-assembled genomes and microbial genes from the athlete gut microbiome. 2024 PMID 39741946 PMC11684919 unsure
Archive description
Metagenomic Sequencing of rowers, marathon runners, and sedentary controls before and after exercise.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- body site study.title · “Athlete Gut Microbiome Metagenomic Sequencing”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN09243345 | collection_date | 2016-04-18 | R1 | 0.90 | biosample.attribute:collection_date | 2016-04-18 |
| SAMN09243345 | country | US | R1 | 0.90 | sample.attr.geo_loc_name | USA |
| SAMN09243345 | health_condition_detail | mixed_case_control: elite athletes (rowers, marathon runners) vs sedentary controls | R4 | 0.50 | study.description | rowers, marathon runners, and sedentary controls |
| SAMN09243345 | latitude | 42.3600 | R1 | 0.90 | biosample.attribute:lat_lon | 42.36 N 71.05 W |
| SAMN09243345 | location_region | Massachusetts | R1 | 0.60 | biosample.attribute:lat_lon | 42.36 N 71.05 W |
| SAMN09243345 | longitude | -71.0500 | R1 | 0.90 | biosample.attribute:lat_lon | 42.36 N 71.05 W |
Sequencing
87 runs over 87 samples · mean 0.70 Gbp per run (median 0.36 Gbp, total 60.87 Gbp; 87 runs with a base count) · layout PAIRED 87 · platform ILLUMINA 87 · models Illumina HiSeq 2500 (87) · 10% of runs with a Sandpiper profile · first public 2019-06-20
Authors (36)
Scheiman J first · Luber JM · Chavkin TA · MacDonald T · Tung A · Pham LD · Wibowo MC · Wurth RC · Punthambaker S · Tierney BT · Yang Z · Hattab MW · Avila-Pacheco J · Clish CB · Lessard S · Church GM · Kostic AD last · Tarracchini C first · Fontana F · Lugli GA · Mancabelli L · Alessandri G · Turroni F · Ventura M · Milani C last · Longhi G · Ormaasen I first · Rudi K · Diep DB · Snipen L last · Wosinska L first · Walsh LH · Walsh CJ · Cotter PD · Guinane CM · O'Sullivan O last
Help complete this project
2 of the 4 core fields are below 50% coverage: health_condition, subject_id. Share metadata
Downloads
PRJNA472785.csv.gz (3.0 KB) · parquet (73.7 KB) — all 87 samples, every field with route and confidence · PRJNA472785_determinations.csv.gz (3.6 KB) — 513 evidence rows