Deciphering functional groups of rumen microbiome and their underlying potentially causal relationships in shaping host traits

Author:

Xue Ming‐Yuan12,Xie Yun‐Yi1,Zang Xin‐Wei1,Zhong Yi‐Fan1,Ma Xiao‐Jiao1,Sun Hui‐Zeng13ORCID,Liu Jian‐Xin13ORCID

Affiliation:

1. Institute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China

2. Xianghu Laboratory Hangzhou China

3. Ministry of Education Key Laboratory of Molecular Animal Nutrition Zhejiang University Hangzhou China

Abstract

AbstractOver the years, microbiome research has achieved tremendous advancements driven by culture‐independent meta‐omics approaches. Despite extensive research, our understanding of the functional roles and causal effects of the microbiome on phenotypes remains limited. In this study, we focused on the rumen metaproteome, combining it with metatranscriptome and metabolome data to accurately identify the active functional distributions of rumen microorganisms and specific functional groups that influence feed efficiency. By integrating host genetics data, we established the potentially causal relationships between microbes‐proteins/metabolites‐phenotype, and identified specific patterns in which functional groups of rumen microorganisms influence host feed efficiency. We found a causal link between Selenomonas bovis and rumen carbohydrate metabolism, potentially mediated by bacterial chemotaxis and a two‐component regulatory system, impacting feed utilization efficiency of dairy cows. Our study on the nutrient utilization functional groups in the rumen of high‐feed‐efficiency dairy cows, along with the identification of key microbiota functional proteins and their potentially causal relationships, will help move from correlation to causation in rumen microbiome research. This will ultimately enable precise regulation of the rumen microbiota for optimized ruminant production.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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