The Kumaraswamy2024 includes microbiota and metabolite profiling data from 78 Indian individuals (40 males, 38 females).
The Indian subjects were grouped into four diet groups (~20 subjects per group), and fecal samples were collected across three seasonal time points.
The microbiota profiling was performed using HITChip microarray analysis (in duplicate), qPCR (in triplicate with eight-point standard curves), and LC-HRMS and HPLC metabolite profiling with internal standards.
Column metadata includes diet group assignment, sampling season, sex, BMI, age, and questionnaire-based lifestyle metadata.
Quality control metrics include Pearson correlation (>0.98) for HITChip, qPCR assay efficiency (>0.99), and technical replicates for HPLC and qPCR.
Data sources:
Microbiota HITChip microarray data
qPCR absolute abundance data
Chemical profiling data (HPLC, LC-HRMS)
Sample metadata (diet, lifestyle)
Processed and raw data are available via:
Zenodo (DOI: https://doi.org/10.5281/zenodo.14424024)
NCBI-SRA (fermented foods 16S rRNA sequencing, accession: PRJNA1191989)
data(Kumaraswamy2024)The data set in
TreeSummarizedExperiment
format.
Loads the data set in R.
Jeyaram, K., Lahti, L., Tims, S. et al. Fermented foods affect the seasonal stability of gut bacteria in an Indian rural population. Nat Commun 16, 771 https://doi.org/10.1038/s41467-025-56014-6