Data replication for "Gut commensal Bacteroides faecichinchillae, a potential novel candidate of next-generation probiotics targeting type 2 diabetes"

Facing the lack of define research strategy to found and qualify bacterial with real antidiabetic activity, we have developed a program to identify, select and validate novel strains able to improve metabolic alterations in type 2 diabetes. Among potential candidates, we identified Bacteroides faecichinchillae (named BAfa hereafter), and the present work presents the validation of the antidiabetic potential of the ST37 (DSMZ 26883) BAfa strain in mice fed a high-fat high-sucrose (HFS) diet for 10 weeks followed by 4 weeks of treatment. Daily gavage with live, but not heat inactivated, BAfa improved glucose tolerance, fasting hyperinsulinemia and liver triglyceride content in HFS fed mice. This dataset contains 16S rRNA gene sequencing data generated by RNA-seq to characterize microbial community composition. Raw sequencing reads and associated metadata are provided. The data were produced to analyze taxonomic diversity and relative abundance of bacterial taxa across the studied samples and can be reused for comparative or methodological analyses.