文献类型: 外文期刊
作者: Han, Jinyi 1 ; Wang, Mingyu 1 ; Zhou, Shenping 2 ; Wang, Zhenyu 2 ; Duan, Dongdong 2 ; Li, Mengyu 2 ; Li, Xiuling 1 ; Xin, Wenshui 2 ; Li, Xinjian 1 ;
作者机构: 1.Henan Agr Univ, Coll Anim Sci & Technol, Zhengzhou 450002, Peoples R China
2.Hainan Acad Agr Sci, Sanya Inst, Sanya 572000, Peoples R China
关键词: performance of growth; pigs; gut microbiota; BMI; MGWASs
期刊名称:MICROORGANISMS ( 影响因子:4.2; 五年影响因子:4.6 )
ISSN:
年卷期: 2025 年 13 卷 2 期
页码:
收录情况: SCI
摘要: Intestinal probiotics significantly regulate the growth performance of their host, with their composition being influenced by various factors. While many studies have explored how gut microbiota composition affects growth traits such as body weight and BMI, the research on probiotics influenced by host genetic factors, and their subsequent impact on host growth performance, remains limited. To address this research gap, we collected fecal and tissue samples, as well as phenotypic data, from 193 Yunong black pigs at 280 days of age. We then sequenced and genotyped all 193 subjects using the 50K SNP BeadChip, yielding a comprehensive dataset for genetic and microbiome analyses. We then employed microbiome-wide association studies (MWAS), a meta-analysis, and microbiome-wide genetic association studies (MGWASs) to examine the relationship between host genetics, gut microbiota, and growth performance. Four key microbial taxa, namely Coprococcus, Blautia, Ruminococcaceae, and RF16, were identified as being significantly associated with body weight and BMI. The MGWAS analysis revealed that both Coprococcus and Ruminococcaceae were significantly associated with host genomic variations. A total of four important single nucleotide polymorphisms (SNPs) were mapped to two chromosomal regions, corresponding to three candidate genes. Among them, the candidate genes INPP4B, SCOC, and PABPC4L were identified as being related to the abundance of key microbes. This study provides new insights into the joint contributions of host genetics and probiotics to host growth traits, offering theoretical guidance and data support for the development of efficient and targeted breeding strategies.
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