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PRJDB3601 DRP003048

Japanese adult gut microbiome, cross-sectional study

Metagenomics of Japanese gut microbiomes

255 gut microbiome samples from Japanese adults, mostly healthy controls (252) with a few obesity cases (3), in a cross-sectional design. machine-written summary

255 samples · 400 runs · JP · Adult · 2016 · 0.28 Gbp / sample

Sources
✓Sequence archive 336✓Abstract / description 450✓Full text 989✓Supplementary tables 388✓External resources 151–User contribution–Human verified

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

what each source gave
✓ Sequence archive336 sample values (subject id, timepoint)
✓ Abstract / description450 sample values (health condition, health condition detail)
✓ Full text989 sample values (antibiotic exposure, collection date, country, location site) · PMC4833420, PMC6005635
✓ Supplementary tables388 sample values (age, bmi, sex, subject id)
✓ External resources151 sample values (age, bmi, country, health condition, health condition detail, sex) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
adult255
Condition
healthy_control252
obesity3
Sex
male137
female113
Country
JP255
Body site
primary255
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 24 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 108 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 34 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 56 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 32 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 0.28 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

48 of 107 people sampled more than once (196 samples; median 2, up to 12 per person). Schedule stated by the source: “26 individuals sampled twice every 8 weeks; 9 individuals sampled five times every 2 weeks”.

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 11.8%Blautia_A 9.2%Roseburia 8.0%Faecalibacterium 7.6%Phocaeicola 6.0%Bacteroides 4.3%Mediterraneibacter 3.8%Fusicatenibacter 3.6%Streptococcus 3.0%Collinsella 3.0%Prevotella 3.0%Anaerostipes 2.8%not assigned to a genus 5.1%other genera 28.6%

Genera, mean relative abundance over 30 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category255 100%
country255 100%31224
health_condition255 100%29226
subject_id255 100%23916
antibiotic_exposure255 100%255
collection_date255 100%255
detailed_location255 100%
health_condition_detail255 100%31224
location_site255 100%255
sex250 98%250
timepoint_label97 38%97
age_at_collection_days91 36%91
bmi91 36%91
Papers (10)
  • The gut microbiome of healthy Japanese and its microbial and functional uniqueness. 2016 PMID 26951067 PMC4833420 own_data
  • Latent environment allocation of microbial community data. 2018 PMID 29874232 PMC6005635 own_data
  • Synergy between Cell Surface Glycosidases and Glycan-Binding Proteins Dictates the Utilization of Specific Beta(1,3)-Glucans by Human Gut Bacteroides. 2020 PMID 32265336 PMC7157763 unsure
  • Bifidobacterium response to lactulose ingestion in the gut relies on a solute-binding protein-dependent ABC transporter. 2021 PMID 33972677 PMC8110962 unsure
  • Human Gut Faecalibacterium prausnitzii Deploys a Highly Efficient Conserved System To Cross-Feed on β-Mannan-Derived Oligosaccharides. 2021 PMID 34061597 PMC8262883 unsure
5 more
  • Diverse events have transferred genes for edible seaweed digestion from marine to human gut bacteria. 2022 PMID 35240043 PMC9096808
  • Integrated metagenomics identifies a crucial role for trimethylamine-producing Lachnoclostridium in promoting atherosclerosis. 2022 PMID 35273169 PMC8913745
  • 2 Hydroxybutyric Acid-Producing Bacteria in Gut Microbiome and Fusobacterium nucleatum Regulates 2 Hydroxybutyric Acid Level In Vivo. 2023 PMID 36984891 PMC10059959
  • The molecular basis of cereal mixed-linkage β-glucan utilization by the human gut bacterium Segatella copri. 2024 PMID 39122003 PMC11418011
  • The gut methanotroph Methylocystis intestini modulates intestinal peristalsis and fat metabolism via reducing methane levels. 2025 PMID 41331251 PMC12764784
Details
Archive description

The human gut microbiome has profound influences on the host’s health largely through its inter-ference with various intestinal functions. As recent studies have suggested diversity in the humangut microbiome among human populations, it will be interesting to analyse how gut microbiomeis correlated with geographical, cultural, and traditional differences. The Japanese people areknown to have several characteristic features such as eating a variety of traditional foods and exhibit-ing a low BMI and long life span. In this study, we analysed gut microbiomes of the Japanese by com-paring the metagenomic data obtained from 106 Japanese individuals with those from 11 othernations. We found that the composition of the Japanese gut microbiome showed more abundantin the phylum Actinobacteria, in particular in the genus Bifidobacterium, than other nations. Regard-ing the microbial functions, those of carbohydrate metabolism were overrepresented with a concur-rent decrease in those for replication and repair, and cell motility. The remarkable low prevalence ofgenes for methanogenesis with a significant depletion of the archaeon Methanobrevibacter smithii and en-richment of acetogenesis genes in the Japanese gut microbiome compared with others suggested adifference in the hydrogen metabolism pathway in the gut between them. It thus seems that the gutmicrobiome of the Japanese is considerably different from those of other populations, which cannotbe simply explained by diet alone. We postulate possible existence of hitherto unknown factorscontributing to the population-level diversity in human gut microbiomes.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.68. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.title · “Metagenomics of Japanese gut microbiomes”
  • life stage study.description · “low BMI and long life span”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMD00036191age_at_collection_days13149R20.85paper.supp.supp_dsw002_dsw002supp_tables.xlsx[S1!Age]36
SAMD00036349age_at_collection_days7670.25R20.75external.gmrepo sourcehost_age: 21.0
SAMD00036191antibiotic_exposurenoR30.70paper.fulltext.methodsNo subjects were treated with antibiotics
SAMD00036191bmi24.2R20.85paper.supp.supp_dsw002_dsw002supp_tables.xlsx[S1!BMI]24.2
SAMD00036349bmi18.8R20.75external.gmrepo sourceBMI: 18.8
SAMD00036191collection_date2010/2013R30.70paper.fulltext.methodsrecruited by Azabu University (Japan) from 2010 to 2013
SAMD00036192countryJPR20.75external.gmrepo sourcecountry: Japanese
SAMD00036191countryJPR30.70paper.fulltext.methodsJapanese volunteers
SAMD00036192health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMD00036191health_conditionhealthy_controlR40.50paper.abstractThe gut microbiome of healthy Japanese
SAMD00036192health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMD00036191health_condition_detailHealthy Japanese individuals; no disease mentionedR40.50paper.abstractThe gut microbiome of healthy Japanese
SAMD00036191location_siteAzabu UniversityR30.70paper.fulltext.methodsrecruited by Azabu University (Japan) from 2010 to 2013
SAMD00036191sexmaleR20.85paper.supp.supp_dsw002_dsw002supp_tables.xlsx[S1!Sex]male
SAMD00036349sexfemaleR20.75external.gmrepo sourcesex: Female
SAMD00036191subject_idFAKO01R10.70sample.name_rule:sample_nameFAKO01
SAMD00036240subject_idFMOR01R20.85paper.supp.supp_dsw002_dsw002supp_tables.xlsx[S12!Individual]'FMOR01
SAMD00036349timepoint_labelS00R10.70sample.name_rule:sample_nameapr01S00
Sequencing

400 runs over 255 samples · mean 0.76 Gbp per run (median 0.50 Gbp, total 305.06 Gbp; 400 runs with a base count) · layout SINGLE 336, PAIRED 64 · platform ION_TORRENT 177, LS454 159, ILLUMINA 64 · models 454 GS FLX Titanium (97), Ion Torrent PGM (89), Ion Torrent Proton (88), Illumina MiSeq (64), 454 GS FLX+ (62) · 14% of runs with a Sandpiper profile · first public 2016-03-10

Authors (34)

Nishijima S first · Suda W · Oshima K · Kim SW · Hirose Y · Morita H · Hattori M last · Yoshida K first · Hirano R · Sakai Y · Choi M · Sakanaka M · Kurihara S · Iino H · Xiao JZ · Katayama T · Odamaki T last · Qin F first · Li J · Mao T · Feng S · Lai M last · Golisch B first · Cordeiro RL · Fraser ASC · Briggs J · Stewart WA · Van Petegem F · Brumer H last · Zhao Y first · Chen H · Huang J · Chistoserdova L · Yu Z last

Downloads

PRJDB3601.csv.gz (7.6 KB) · parquet (81.0 KB) — all 255 samples, every field with route and confidence · PRJDB3601_determinations.csv.gz (16.9 KB) — 2,314 evidence rows

Samples (255 · every field this project has values for · hover a cell for its source)
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