Potential roles of the rectum keystone microbiota in modulating the microbial community and growth performance in goat model

作     者：Dangdang Wang Guangfu Tang Lichao Zhao Mengya Wang Luyu Chen Congcong Zhao Ziqi Liang Jie Chen Yangchun Cao Junhu Yao Dangdang Wang;Guangfu Tang;Lichao Zhao;Mengya Wang;Luyu Chen;Congcong Zhao;Ziqi Liang;Jie Chen;Yangchun Cao;Junhu Yao

作者机构：College of Animal Science and TechnologyNorthwest A&F UniversityYangling 712100ShaanxiChina 

出 版 物：《畜牧与生物技术杂志:英文版》 (Journal of Animal Science and Biotechnology)

年 卷 期：2023年第14卷第5期

页      面：2048-2062页

核心收录：

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 0832[工学-食品科学与工程（可授工学、农学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0905[农学-畜牧学] 0906[农学-兽医学] 09[农学] 0703[理学-化学] 0836[工学-生物工程] 

基　　金：supported by the National Natural Science Foundation of China(32072761,32272829) the National Key Research and Development Program of China(2017YFD500500) 

主　　题：Early life Goat Growth performance Rectum microbiota SCFA 

摘      要：Background Ruminal microbiota in early life plays critical roles in the life-time health and productivity of ruminant ***,understanding of the relationship between gut microbiota and ruminant phenotypes is very ***,the relationship between the rectum microbiota,their primary metabolites,and growth rate of a total of 76 young dairy goats(6-month-old)were analyzed,and then 10 goats with the highest or lowest growth rates respectively were further compared for the differences in the rectum microbiota,metabolites,and animal’s immune parameters,to investigate the potential mechanisms by which the rectum microbiota contributes to the health and growth *** The analysis of Spearman correlation and microbial co-occurrence network indicated that some keystone rectum microbiota,including unclassified Prevotellaceae,Faecalibacterium and Succinivibrio,were the key modulators to shape the rectum microbiota and closely correlated with the rectum SCFA production and serum IgG,which contribute to the health and growth rate of young *** addition,random forest machine learning analysis suggested that six bacterial taxa in feces could be used as potential biomarkers for differentiating high or low growth rate goats,with 98.3%accuracy of ***,the rectum microbiota played more important roles in gut fermentation in early life(6-month-old)than in adulthood stage(19-month-old)of *** We concluded that the rectum microbiota was associated with the health and growth rate of young goats,and can be a focus on the design of the early-life gut microbial intervention.