Multi-Omics Association Reveals the Effects of Intestinal Microbiome–Host Interactions on Fat Deposition in Broilers

作者：Jing Yang, Yuqi Yuan, Melissa S. Monson, Peng Wang, Fang Mu, Qi Zhang, Na Wei, Ke Zhang, Yuxiang Wang, Li Leng, Yumao Li, Peng Luan, Ning Wang, Rongjun Guo, Susan J. Lamont, Hui Li, Hui Yuan · 发表于：Frontiers in Microbiology · 年份：2022 · DOI：10.3389/fmicb.2021.815538 · 被引用次数：32 · 研究领域：Gut microbiota and health、Diet and metabolism studies、Dietary Effects on Health

Growing evidence indicates that gut microbiota factors cannot be viewed as independent in the occurrence of obesity. Because the gut microbiome is highly dimensional and complex, studies on interactions between gut microbiome and host in obesity are still rare. To explore the relationship of gut microbiome–host interactions with obesity, we performed multi-omics associations of gut metagenome, intestinal transcriptome, and host obesity phenotypes in divergently selected obese–lean broiler lines. Metagenomic shotgun sequencing generated a total of 450 gigabases of clean data from 80 intestinal segment contents of 20 broilers (10 of each line). The microbiome comparison showed that microbial diversity and composition in the duodenum, jejunum, ileum, and ceca were altered variously between the lean- and fat-line broilers. We identified two jejunal microbes ( Escherichia coli and Candidatus Acetothermia bacterium ) and four cecal microbes ( Alistipes sp. CHKCI003 , Ruminococcaceae bacterium CPB6 , Clostridiales bacterium , and Anaeromassilibacillus sp. An200 ), which were significantly different between the two lines (FDR < 0.05). When comparing functional metagenome, the fat-line broilers had an intensive microbial metabolism in the duodenum and jejunum but degenerative microbial activities in the ileum and ceca. mRNA-sequencing identified a total of 1,667 differentially expressed genes (DEG) in the four intestinal compartments between the two lines (| log2FC| > 1....