Gut microbiome, vegetarian festival dietary shift, Thailand
Shotgun metagenomic study of 121 human faecal samples from individuals in a northern Thai city, collected around a population-wide vegetarian festival, used to assess bacterial composition and antimicrobial resistance genes. machine-written summary
121 samples · 210 runs · TH · 2025 · 9.30 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 484 sample values (collection date, country, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – 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 |
intervention — arms not resolved
design single_arm_before_after
longitudinal
10 of 10 people sampled more than once (121 samples; median 13, up to 15 per person) · follow-up median 2 mo (max 2 mo) · median interval between samples 3 d (time from collection dates). Schedule stated by the source: “Stool collected 30, 15, and 3 days before, during, and 3, 15, 30 days after the vegetarian festival” (time origin: intervention_start).
Each row is one person (10 shown); dots are samples at days since that person's first sample.
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 121 | 100% | 121 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 121 | 100% | 121 | |||
| collection_date | 121 | 100% | 121 | |||
| timepoint_label | 121 | 100% | 121 |
- Effect of large-scale population-based dietary change to vegetarianism on antimicrobial resistance and bacterial composition of sewage in Thailand. 2025 PMID 40389018 own_data
Archive description
Antimicrobial resistance (AMR) is on one of the global priority challenges because clinicians are running out of effective antimicrobials to treat infections. This context has nurtured our idea to explore the impact of diet alteration on abundance and diversity of AMR bacteria using metagenomic analysis at large population level. The study was conducted during the annual vegetarian festival in Thailand in October 2019, when there was a shift from regular to a vegetarian diet at a population level for 10 consecutive days. We used urban sewage to monitor abundance and diversity of AMR before (a month, 15 days and 3 days before), during (daily for 10 days) and after the festival (3 days, 15 days and a month after) in three cities in Thailand. Inlet sewage samples were collected from a city in the north (Nakhon Sawan), the south (Surat Thani), and the capital city, Bangkok. Faecal samples from individuals in the northern city were also collected. All samples were analyzed by shotgun metagenomic sequencing and metagenomic mapping was performed against bacteria, ResFinder (AMR genes) and Cazy (carbohydrate-active enzymes) databases. We found significant changes of AMR gene abundance as well as an increase of genes related to carbohydrate metabolism in the sewage samples from all three cities in Thailand during the vegetarian festival. In addition, the composition and diversity of bacterial species in the sewage samples significantly changed during the vegetarian festival especially in the northern city. Total abundance of AMR genes was higher during the vegetarian festival in all the three cities. This study exhibited the correlation between population’s vegetarian diet and an increase of AMR in Thailand and metagenomic analysis in sewage can be used for determining an impact of dietary modulation in population level on bacterial community and AMR.
How this project entered the registry
Classified as human and non-human (mixed) gut / stool shotgun DNA metagenome by curator_audit with confidence 0.70. Assay shotgun_dna.
- host runs.scientific_name · “human feces metagenome (121)”
- host runs.isolation_source · “faeces (121)”
- body site runs.scientific_name · “human feces metagenome (121)”
- body site runs.isolation_source · “faeces (121)”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA115716247 | collection_date | 2019-10-10 | R1 | 0.85 | biosample.attribute:collection date | 2019-10-10 |
| SAMEA115716247 | country | TH | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Thailand |
| SAMEA115716247 | subject_id | P1 | R1 | 0.70 | sample.name_rule:TITLE | P1_08_10_OCT |
| SAMEA115716247 | timepoint_label | After_3_days | R1 | 0.85 | biosample.attribute:DESCRIPTION | Festival duration - After_3_days - Control diet |
Sequencing
210 runs over 121 samples · mean 8.40 Gbp per run (median 9.30 Gbp, total 1,763.22 Gbp; 210 runs with a base count) · layout PAIRED 210 · platform ILLUMINA 210 · models Illumina NovaSeq 6000 (210) · 99% of runs with a Sandpiper profile · first public 2025-05-23
Authors (0)
No author record.
Help complete this project
2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata
Downloads
PRJEB76399.csv.gz (3.9 KB) · parquet (73.5 KB) — all 121 samples, every field with route and confidence · PRJEB76399_determinations.csv.gz (4.4 KB) — 484 evidence rows