Literature DB >> 36261508

Genome-centric investigation of bile acid metabolizing microbiota of dairy cows and associated diet-induced functional implications.

Limei Lin1,2, Zheng Lai1,2, Huisheng Yang1,2, Jiyou Zhang1,2, Weibiao Qi1,2, Fei Xie1,2, Shengyong Mao3,4.   

Abstract

Although the importance of bile acid (BA)-related microbial strains and enzymes is increasingly recognized for monogastric animals, a lack of knowledge about BA metabolism in dairy cows limits functional applications aimed at the targeted modulation of microbe-host interactions for animal production and health. In the present study, 108 content samples from six intestinal regions of dairy cows were used for shotgun metagenomic sequencing. Overall, 372 high-quality metagenome-assembled genomes (MAGs) were involved in BA deconjugation, oxidation, and dehydroxylation pathways. Furthermore, the BA-metabolizing microbiome predominately occurred in the large intestine, resulting in the accumulation of secondary unconjugated BAs. Comparative genomic analysis revealed that the bile salt hydrolase (BSH)-carrying microbial populations managed with the selective environment of the dairy cow intestine by adopting numerous host mucin glycan-degrading abilities. A sequence similarity network analysis classified 439 BSH homologs into 12 clusters and identified different clusters with diverse evolution, taxonomy, signal peptides, and ecological niches. Our omics data further revealed that the strains of Firmicutes bacterium CAG-110 processed the increased abundance of BSHs from Cluster 1, coinciding with the changes in the colon cholic acid concentration after grain introduction, and were intricately related to intestinal inflammation. This study is the first to use a genome-centric approach and whole intestine-targeted metabolomics to reveal microbial BA metabolism and its diet-induced functional implications in dairy cows. These findings provide insight into the manipulation of intestinal microorganisms for improving host health.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36261508     DOI: 10.1038/s41396-022-01333-5

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   11.217


  66 in total

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