Korean vs Western diet fecal microbiome, Australia
24 fecal samples from 12 individuals in Australia, taken before and after 3 months on a Korean or Western diet, comparing high and low weight losers. machine-written summary
24 samples · 24 runs · AU · Age unknown · 2015 · 5.69 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 60 sample values (collection date, country, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10973873, PMC10989828, PMC12084026, PMC12390848, PMC6345003, PMC6947943, PMC7813997, PMC8407206, PMC8913745, PMC9780557 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| ✓ External resources | 48 sample values (health condition, health condition detail) · from GMrepo v3 |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
longitudinal — not resolved
Schedule stated by the source: “Fecal samples taken before and after 3 months on a diet (2 timepoints per individual)”; stated follow-up 3 mo.
Genera, mean relative abundance over 23 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 | 0 | 0% | ||||
| country | 24 | 100% | 24 | |||
| health_condition | 24 | 100% | 24 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 24 | 100% | 24 | |||
| health_condition_detail | 24 | 100% | 24 | |||
| timepoint_label | 12 | 50% | 12 |
- Taxonomic profiling and populational patterns of bacterial bile salt hydrolase (BSH) genes based on worldwide human gut microbiome. 2019 PMID 30674356 PMC6345003 own_data
- Comparison of Blood Bacterial Communities in Periodontal Health and Periodontal Disease. 2020 PMID 33469518 PMC7813997 own_data
- Metagenome-Wide Analysis of Rural and Urban Surface Waters and Sediments in Bangladesh Identifies Human Waste as a Driver of Antibiotic Resistance. 2021 PMID 34254820 PMC8407206 own_data
- High resolution 16S rRNA gene Next Generation Sequencing study of brain areas associated with Alzheimer's and Parkinson's disease. 2022 PMID 36570533 PMC9780557 own_data
- A cryptic plasmid is among the most numerous genetic elements in the human gut. 2024 PMID 38428395 PMC10973873 own_data
5 more
- Taxonomic identification of bile salt hydrolase-encoding lactobacilli: Modulation of the enterohepatic bile acid profile. 2023 PMID 38867937 PMC10989828
- Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance. 2020 PMID 31910889 PMC6947943
- Integrated metagenomics identifies a crucial role for trimethylamine-producing Lachnoclostridium in promoting atherosclerosis. 2022 PMID 35273169 PMC8913745
- Microbes with higher metabolic independence are enriched in human gut microbiomes under stress. 2025 PMID 40377187 PMC12084026
- Microbiota-driven antitumour immunity mediated by dendritic cell migration. 2025 PMID 40659786 PMC12390848
Archive description
Two diets, Korean and Western diet. Each 6 individuals, half of which loose high weight and half of which loose little weight. Fecal samples taken before and after diet (3 months).
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.65. Assay shotgun_dna.
- host run.scientific_name · “human gut metagenome”
- body site study.title · “fecal microbiota, Ilumina seq reads”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA2452114 | collection_date | 2012 | R1 | 0.90 | biosample.attribute:collection_date | 2012 |
| SAMEA2452114 | country | AU | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea_region | Australia |
| SAMEA2452114 | health_condition | healthy_control | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMEA2452114 | health_condition_detail | Health | R2 | 0.75 | external.gmrepo source | phenotype: Health |
| SAMEA2452114 | timepoint_label | baseline | R1 | 0.70 | sample.name_rule:description | Western low before |
Sequencing
24 runs over 24 samples · mean 5.81 Gbp per run (median 5.69 Gbp, total 139.37 Gbp; 24 runs with a base count) · layout PAIRED 24 · platform ILLUMINA 24 · models Illumina HiSeq 1000 (24) · 96% of runs with a Sandpiper profile · first public 2015-12-31
Authors (92)
McInnes RS first · Uz-Zaman MH · Alam IT · Ho SFS · Moran RA · Clemens JD · Islam MS · van Schaik W last · Emery DC first · Davies M · Cerajewska TL · Taylor J · Hazell M · Paterson A · Allen-Birt SJ · West NX last · Argentini C first · Lugli GA · Tarracchini C · Fontana F · Mancabelli L · Viappiani A · Anzalone R · Angelini L · Alessandri G · Longhi G · Bianchi MG · Taurino G · Bussolati O · Milani C · van Sinderen D · Turroni F · Ventura M last · Fogarty EC first · Schechter MS · Lolans K · Sheahan ML · Veseli I · Moore RM · Kiefl E · Moody T · Rice PA · Yu MK · Mimee M · Chang EB · Ruscheweyh HJ · Sunagawa S · Mclellan SL · Willis AD · Comstock LE · Eren AM last · Song Z first · Feng S · Zhou X · Li J · Li P last · Lin NY first · Fukuoka S · Koyama S · Motooka D · Tourlousse DM · Shigeno Y · Matsumoto Y · Yamano H · Murotomi K · Tamaki H · Irie T · Sugiyama E · Kumagai S · Itahashi K · Tanegashima T · Fujimaki K · Ito S · Shindo M · Tsuji T · Wake H · Watanabe K · Maeda Y · Enokida T · Tahara M · Yamashita R · Fujisawa T · Nomura M · Kawazoe A · Goto K · Doi T · Shitara K · Mano H · Sekiguchi Y · Nakamura S · Benno Y · Nishikawa H last
Downloads
PRJEB6092.csv.gz (1.5 KB) · parquet (69.8 KB) — all 24 samples, every field with route and confidence · PRJEB6092_determinations.csv.gz (1.3 KB) — 108 evidence rows