Gut microbiome of competitive cyclists, USA
Cross-sectional study of 89 stool samples from healthy adult cyclists (professional and amateur) in the USA, using metagenomic and metatranscriptomic sequencing to characterize gut microbiome composition and activity relative to exercise level. machine-written summary
89 samples · 89 runs · US · Adult · 2016 · 0.54 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 623 sample values (collection date, country, health condition, health condition detail, sex, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ✓ Full text | 267 sample values (antibiotic exposure, lifestyle, lifestyle detail) · PMC5553673, PMC6834636 |
| ○ 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 |
| – Human verified | not yet checked by a person · I checked this project — verify it |
Genera, mean relative abundance over 27 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 | 89 | 100% | ||||
| country | 89 | 100% | 89 | |||
| health_condition | 89 | 100% | 89 | |||
| subject_id | 89 | 100% | 89 | |||
| antibiotic_exposure | 89 | 100% | 89 | |||
| collection_date | 89 | 100% | 89 | |||
| health_condition_detail | 89 | 100% | 89 | |||
| lifestyle | 89 | 100% | 89 | |||
| lifestyle_detail | 89 | 100% | 89 | |||
| sex | 89 | 100% | 89 | |||
| timepoint_label | 89 | 100% | 89 |
- Community characteristics of the gut microbiomes of competitive cyclists. 2017 PMID 28797298 PMC5553673 own_data
- Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. 2019 PMID 31695033 PMC6834636 own_data
- Microbial genetic and transcriptional contributions to oxalate degradation by the gut microbiota in health and disease. 2021 PMID 33769280 PMC8062136 unsure
- 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
4 more
- Plasmids in the human gut reveal neutral dispersal and recombination that is overpowered by inflammatory diseases. 2024 PMID 38605009 PMC11009399
- Cataloging metagenome-assembled genomes and microbial genes from the athlete gut microbiome. 2024 PMID 39741946 PMC11684919
- Gut bacteria metabolize natural and synthetic steroid hormones via the reductive OsrABC pathway. 2025 PMID 41118772 PMC13059687
- Plasmid dispersal and recombination across human gut microbiomes is neutral, but overpowered by inflammatory diseases 2023
Archive description
Metagenomic sequencing to identify and measure the abundances of microorganisms present in stool samples from athletes
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.60. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site study.description · “stool samples from athletes”
- life stage study.description · “stool samples from athletes”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN04329762 | antibiotic_exposure | no | R3 | 0.70 | paper.fulltext.methods | no antibiotic use within the previous year |
| SAMN04329762 | collection_date | 2015 | R1 | 0.90 | biosample.attribute:collection_date | 2015 |
| SAMN04329762 | country | US | R1 | 0.90 | sample.attr.geo_loc_name | USA |
| SAMN04329762 | health_condition | healthy_control | R1 | 0.90 | biosample_attr | healthy |
| SAMN04329762 | health_condition_detail | healthy | R1 | 0.90 | sample.attr.host_disease | healthy |
| SAMN04329762 | lifestyle | athlete | R3 | 0.70 | paper.fulltext.methods | highly fit individuals that had been competing for |
| SAMN04329762 | lifestyle_detail | Competitive cyclists (professional and amateur/CAT 1) | R3 | 0.70 | paper.fulltext.methods | Thirty-three cyclists (11 females, 22 males) |
| SAMN04329762 | sex | female | R1 | 0.90 | sample.attr.host_sex | female |
| SAMN04329762 | subject_id | AMP1_J17359_M_ST_T0_B0_0000_Cove_ST_HJ2VLBGXX | R1 | 0.85 | sample.attr.unique_id | AMP1_J17359_M_ST_T0_B0_0000_Cove_ST_HJ2VLBGXX |
| SAMN04329762 | timepoint_label | T0 | R1 | 0.70 | sample.name_rule:alias | AMP1_J17359_M_ST_T0_B0_0000_Cove_ST_HJ2VLBGXX |
Sequencing
89 runs over 89 samples · mean 1.42 Gbp per run (median 0.54 Gbp, total 126.26 Gbp; 89 runs with a base count) · layout PAIRED 89 · platform ILLUMINA 89 · models NextSeq 500 (89) · 30% of runs with a Sandpiper profile · first public 2016-12-15
Authors (50)
Tarracchini C first · Fontana F · Lugli GA · Mancabelli L · Alessandri G · Turroni F · Ventura M · Milani C last · Longhi G · Levy S · Arp G · Zhong A · Ndjite GM · Weiss A · Braccia D · Jenkins C · Grant MR · Abeysinghe S · Yang Y · Jermain MD · Wu CH · Ma B · van Sinderen D · Wosinska L first · Walsh LH · Walsh CJ · Cotter PD · Guinane CM · O'Sullivan O last · Jacoby C first · Scorza K · Ecker L · Nol Bernardino P · Little AS · McMillin M · Ramaswamy R · Sundararajan A · Sidebottom AM · Lin H · Dufault-Thompson K · Hall B · Jiang X · Light SH last · Mizrahi I first · Zorea A · Pellow D · Levin L · Pilosof S · Friedman J · Shamir R last
Downloads
PRJNA305507.csv.gz (3.7 KB) · parquet (76.0 KB) — all 89 samples, every field with route and confidence · PRJNA305507_determinations.csv.gz (7.1 KB) — 890 evidence rows