Differences in gut microbiota associated with age, sex, and stool consistency in healthy Japanese subjects/Experiment 10

From BugSigDB


Reviewed Marked as Reviewed by KateRasheed on 2025-5-7

Curated date: 2025/04/12

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp, Montana-D

Subjects

Location of subjects
Japan
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Biological sex Biological sex,biological sex
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Male (60 years or above)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Female (60 years or above)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Female subjects that are 60 years or above
Group 0 sample size Number of subjects in the control (unexposed) group
69
Group 1 sample size Number of subjects in the case (exposed) group
61
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
3 months

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
T-Test
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
decreased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by KateRasheed on 2025-5-7

Curated date: 2025/04/17

Curator: Montana-D

Revision editor(s): Montana-D, Anne-mariesharp

Source: Supplementary Figure 4C

Description: Significantly abundant taxa between males and females of age range (60 or above)

Abundance in Group 1: increased abundance in Female (60 years or above)

NCBI Quality ControlLinks
Bacteroides
Eggerthella
Holdemania
Turicibacter

Revision editor(s): Montana-D, Anne-mariesharp

Signature 2

Reviewed Marked as Reviewed by KateRasheed on 2025-5-7

Curated date: 2025/04/17

Curator: Montana-D

Revision editor(s): Montana-D, Anne-mariesharp

Source: Supplementary Figure 4C

Description: Significantly abundant taxa between males and females of age range (60 or above)

Abundance in Group 1: decreased abundance in Female (60 years or above)

NCBI Quality ControlLinks
Actinomyces
Desulfovibrio
Megasphaera
Moryella
Paraprevotella
Prevotella
Slackia
unclassified Bacteroidota
unclassified S24-7unclassified S24-7

Revision editor(s): Montana-D, Anne-mariesharp