Yearly variation coupled with social interactions shape the skin microbiome in free-ranging rhesus macaques/Experiment 4

From BugSigDB


Needs review

Curated date: 2024/04/04

Curator: Fiddyhamma

Revision editor(s): Fiddyhamma

Subjects

Location of subjects
United States of America
Host species Species from which microbiome was sampled. Contact us to have more species added.
Macaca mulatta
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Axilla skin Axillary skin,Skin of axilla,Axilla skin,axilla skin
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Microbiome measurement Microbiome measurement,microbiome measurement
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Non-Core microbiome 2013 sampling period
Group 1 name Corresponds to the case (exposed) group for case-control studies
Non-Core microbiome 2015 sampling period
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
The core features 1.0 list (e.g., features present in 100% of samples) was used to filter the complete microbiome table and output a “core” microbiome feature table, via q2-filter-features. The same core features were then removed from the complete microbiome table to output a “non-core” microbiome feature table. Core and non-core feature tables were then exported to biom format

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
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).
centered log-ratio
Statistical test
Mann-Whitney (Wilcoxon)
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)?
Yes
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
Confounders controlled for: "sampling period" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.sampling period

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased