Integrated meta-omics reveals new ruminal microbial features associated with feed efficiency in dairy cattle

• Published in: Microbiome Vol. 10; no. 1; pp. 32 - 14
• Main Authors: Xue, Ming-Yuan, Xie, Yun-Yi, Zhong, Yifan, Ma, Xiao-Jiao, Sun, Hui-Zeng, Liu, Jian-Xin
• Format: Journal Article
• Language: English
• Published: England BioMed Central 16.02.2022; BMC
• Subjects: Animals; Bioinformatics; Carbohydrates; Correlation analysis; Dairy cattle; Dairy industry; Data processing; Efficiency; Enzymes; Feed efficiency; Feeds; Genomes; Learning algorithms; Livestock; Machine learning; Metabolism; Metabolites; Metabolomics; Metagenomics; Metatranscriptomics; Microbiomes; Milk; Proteins; Rumen; Rumen microbiome; Software; Taxonomy; United States > US; China; Metabolomics; Metagenomics; Metatranscriptomics; Feed efficiency; Dairy cattle; Rumen microbiome

As the global population continues to grow, competition for resources between humans and livestock has been intensifying. Increasing milk protein production and improving feed efficiency are becoming increasingly important to meet the demand for high-quality dairy protein. In a previous study, we fo...