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Longitudinal Changes in Diet Cause Repeatable and Largely Reversible Shifts in Gut Microbial Communities of Laboratory Mice and Are Observed across Segments of the Entire Intestinal Tract
Authors:Adrian Low  Melissa Soh  Sou Miyake  Vanessa Zhi Jie Aw  Jian Feng  Adeline Wong  Henning Seedorf
Affiliation:1.Temasek Life Sciences Laboratory, 1 Research Link, Singapore 117604, Singapore; (A.L.); (M.S.); (S.M.); (V.Z.J.A.); (J.F.); (A.W.);2.Department of Biological Sciences, National University of Singapore, Singapore 117604, Singapore
Abstract:Dietary changes are known to alter the composition of the gut microbiome. However, it is less understood how repeatable and reversible these changes are and how diet switches affect the microbiota in the various segments of the gastrointestinal tract. Here, a treatment group of conventionally raised laboratory mice is subjected to two periods of western diet (WD) interrupted by a period of standard diet (SD) of the same duration. Beta-diversity analyses show that diet-induced microbiota changes are largely reversible (q = 0.1501; PERMANOVA, weighted-UniFrac comparison of the treatment-SD group to the control-SD group) and repeatable (q = 0.032; PERMANOVA, weighted-UniFrac comparison of both WD treatments). Furthermore, we report that diet switches alter the gut microbiota composition along the length of the intestinal tract in a segment-specific manner, leading to gut segment-specific Firmicutes/Bacteroidota ratios. We identified prevalent and distinct Amplicon Sequencing Variants (ASVs), particularly in genera of the recently described Muribaculaceae, along the gut as well as ASVs that are differentially abundant between segments of treatment and control groups. Overall, this study provides insights into the reversibility of diet-induced microbiota changes and highlights the importance of expanding sampling efforts beyond the collections of fecal samples to characterize diet-dependent and segment-specific microbiome differences.
Keywords:gastrointestinal tract  western diet  standard chow  16S rRNA gene amplicon sequencing  dietary changes  predictive metagenomic profiling  Muribaculaceae
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