生物
候选基因
小桶
遗传学
单核苷酸多态性
核苷酸多样性
人口
单倍型
选择性扫描
纯合性运行
固定指数
基因组
选择(遗传算法)
全基因组关联研究
基因
计算生物学
基因型
遗传变异
转录组
遗传结构
基因表达
人口学
人工智能
社会学
计算机科学
作者
Ziqi Zhong,Rui Li,Zonghua Wang,Shilin Tian,Xiaofeng Xie,Zhenyou Wang,W. Na,Qingsong Wang,Yuchun Pan,Qian Xiao
出处
期刊:Animal
[Elsevier]
日期:2023-07-01
卷期号:17 (7): 100882-100882
被引量:5
标识
DOI:10.1016/j.animal.2023.100882
摘要
Heat stress is a major problem that constrains pig productivity. Understanding and identifying adaptation to heat stress has been the focus of recent studies, and the identification of genome-wide selection signatures can provide insights into the mechanisms of environmental adaptation. Here, we generated whole genome re-sequencing data from six Chinese indigenous pig populations to identify genomic regions with selection signatures related to heat tolerance using multiple methods: three methods for intra-population analyses (Integrated Haplotype Score, Runs of Homozygosity and Nucleotide diversity Analysis) (iHS, ROH, and Pi) and three methods for inter-population analyses (Fixation index, Cross-population Composite Likelihood Ratio and Cross-population Extended Haplotype Homozygosity) (FST, XP-CLR, and XPEHH). In total, 1 966 796 single nucleotide polymorphisms (SNPs) were identified in this study. Genetic structure analyses and FST indicated differentiation among these breeds. Based on information on the location environment, the six breeds were divided into heat and cold groups. By combining two or more approaches for selection signatures, outlier signals in overlapping regions were identified as candidate selection regions. A total of 163 candidate genes were identified, of which, 29 were associated with heat stress injury and anti-inflammatory effects. These candidate genes were further associated with 78 Gene Ontology (GO) functional terms and 30 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in enrichment analysis (P < 0.05). Some of these have clear relevance to heat resistance, such as the AMPK signaling pathway and the mTOR signaling pathway. The results improve our understanding of the selection mechanisms responsible for heat resistance in pigs and provide new insights of introgression in heat adaptation.
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