畜牧兽医学报 ›› 2024, Vol. 55 ›› Issue (12): 5452-5463.doi: 10.11843/j.issn.0366-6964.2024.12.012

• 遗传育种 • 上一篇    下一篇

苏山猪和巴克夏猪全基因组ROH检测和选择信号分析

戴超辉1(), 崔乐康2, 李辉1, 赵为民1, 付言峰1, 李碧侠1, 王学敏1, 廖超1, 陈彦羽3, 包文斌2,*(), 程金花1,*()   

  1. 1. 江苏省农业科学院畜牧研究所/农业农村部种养结合重点实验室/江苏省农业种质资源保护与利用平台,南京 210014
    2. 扬州大学动物科学与技术学院,扬州 225009
    3. 南京瑞源生物技术有限公司,南京 210033
  • 收稿日期:2024-06-18 出版日期:2024-12-23 发布日期:2024-12-27
  • 通讯作者: 包文斌,程金花 E-mail:chdai@jaas.ac.cn;wbbao@yzu.edu.cn;jhcheng@jaas.ac.cn
  • 作者简介:戴超辉(1993-),女,湖南新化人,博士,助理研究员,主要从事猪遗传育种与繁殖研究,E-mail: chdai@jaas.ac.cn
  • 基金资助:
    江苏省种业振兴揭榜挂帅项目(JBGS[2021]099);江苏省青年基金项目(BK20230753);国家生猪产业技术体系(CARS-PIG-35)

Whole Genome ROH Detection and Selection Signal Analysis in Sushan Pigs and Berkshire Pigs

DAI Chaohui1(), CUI Lekang2, LI Hui1, ZHAO Weimin1, FU Yanfeng1, LI Bixia1, WANG Xuemin1, LIAO Chao1, CHEN Yanyu3, BAO Wenbin2,*(), CHENG Jinhua1,*()   

  1. 1. Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Crop and Livestock Integration of Ministry of Agriculture and Rural Affairs, Jiangsu Germplasm Resources Protection and Utilization Platform, Nanjing 210014, China
    2. College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
    3. ProNet Biotech Co., Ltd., Nanjing 210033, China
  • Received:2024-06-18 Online:2024-12-23 Published:2024-12-27
  • Contact: BAO Wenbin, CHENG Jinhua E-mail:chdai@jaas.ac.cn;wbbao@yzu.edu.cn;jhcheng@jaas.ac.cn

摘要:

旨在明确苏山猪群体和巴克夏猪群体的遗传变异位点和多态信息,本研究首先对43个苏山猪样本和21个巴克夏猪样本进行DNA提取,然后利用“中芯一号”50K SNP芯片对DNA的SNP位点进行检测;使用Plink软件对SNP位点进行主成分分析;使用DetectRUNS软件包对样本进行全基因组ROH检测;选用3种方法(ROH、CLR和iHS)对选择信号进行分析。本研究总共鉴定到苏山猪42 282个SNPs位点和巴克夏猪27 718个SNPs位点。其中,苏山猪和巴克夏猪均被划分为3个家系。本研究在苏山猪中共检测到2 071个ROH片段,FROH平均值为0.096。巴克夏猪中共检测到1 853个ROH片段,FROH平均值为0.199。在苏山猪和巴克夏猪群体中分别检测到4个和40个高频ROH区域,分别注释到8个和103个基因,通过富集分析鉴定了50个显著的候选基因。另外,通过ROH、CLR和iHS共3种选择信号分析方法,对苏山猪和巴克夏猪的选择信号区域进行了鉴定,发现有42个基因可能受到选择。本研究初步揭示了苏山猪和巴克夏猪的基因组SNP图谱,并通过高频ROH分析和选择信号检测鉴定到一些可能影响猪的生长发育、肉质、营养和一般抗病力的基因,为苏山猪和巴克夏猪的选育利用提供了理论基础。

关键词: 猪, ROH, CLR, iHS, 选择信号

Abstract:

In order to clarify the genetic variation sites and polymorphic information of the Sushan pig population and the Berkshire pig population, the DNA samples from 43 Sushan pigs and 21 Berkshire pigs were extracted and SNP sites were detected by 50K SNP beadchip in this study. Plink software was used for principal component analysis of the SNP sites; The DetectRUNS software package was used for whole-genome ROH detection of the samples; Three methods (ROH, CLR, and iHS) were used to analyze the selection signals. A total of 42 282 SNPs were identified in Sushan pigs and 27 718 SNPs in Berkshire pigs. Both breeds were divided into 3 families. There were 2 071 ROH segments were detected in Sushan pigs with an average FROH value of 0.096, and 1 853 ROH segments were detected in Berkshire pigs with an average FROH value of 0.199. Four and 40 high-frequency ROH regions were detected in the Sushan pig and Berkshire pig populations, respectively, which were annotated to 8 and 103 genes. There were 50 significant candidate genes were identified through enrichment analysis. Additionally, three selection signal analysis methods (ROH, CLR and iHS) were used to identify selection signal regions in Sushan pigs and Berkshire pigs, which illustrated that 42 genes could be under selection. This study preliminarily revealed the genomic SNP pattern of Sushan pigs and Berkshire pigs and excavated some genes that may affect pig growth and development, meat quality, nutrition, and general disease resistance by high-frequency ROH analysis and selection signal detection, which provided a theoretical basis for the breeding and utilization of Sushan pigs and Berkshire pigs.

Key words: pig, ROH, CLR, iHS, selection signal

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