畜牧兽医学报 ›› 2023, Vol. 54 ›› Issue (5): 1868-1876.doi: 10.11843/j.issn.0366-6964.2023.05.010

• 遗传育种 • 上一篇    下一篇

杜洛克猪生长性状全基因组关联分析及候选基因鉴定

张笑科1, 廖伟莉1, 陈信佑1, 李婷婷1, 袁晓龙1, 李加琪1, 黄翔2*, 张豪1*   

  1. 1. 华南农业大学动物科学学院 广东省农业动物基因组学与分子育种重点实验室 国家生猪种业工程技术研究中心, 广州 510642;
    2. 广东谷越科技有限公司, 广州 510980
  • 收稿日期:2022-09-19 出版日期:2023-05-23 发布日期:2023-05-20
  • 通讯作者: 黄翔,主要从事种猪遗传育种研究,E-mail:huangxiangxms@163.com;张豪,主要从事动物遗传育种与繁殖研究,E-mail:zhanghao@scau.edu.cn
  • 作者简介:张笑科(1998-),男,河南周口人,硕士生,主要从事动物基因组与遗传育种研究,E-mail:zxkstar@163.com
  • 基金资助:
    广东省重点领域研发计划(2022B0202090002);国家生猪产业技术体系(CARS-35)

Genome-wide Association Study for Identifying Candidate Genes of Growth Traits in Duroc Pigs

ZHANG Xiaoke1, LIAO Weili1, CHEN Xinyou1, LI Tingting1, YUAN Xiaolong1, LI Jiaqi1, HUANG Xiang2*, ZHANG Hao1*   

  1. 1. National Engineering Research Center for Swine Breeding Industry, Guangdong Provincial Key Laboratory of Agricultural Animal Genomic and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China;
    2. Guangdong Guyue Technology Co. Ltd., Guangzhou 510980, China
  • Received:2022-09-19 Online:2023-05-23 Published:2023-05-20

摘要: 旨在对杜洛克猪生长性状进行全基因组关联分析及候选基因鉴定。本研究选用361头杜洛克种公猪作为试验群体,对达100 kg体重日龄、达100 kg平均日增重、达100 kg活体背膘厚和达100 kg眼肌面积性状进行测定,基因型信息使用50K单核苷酸多态性阵列进行分型,质控后得到31 618个SNPs。使用GCTA软件利用基因组信息对各生长性状进行遗传参数估计,使用R软件rMVP包FarmCPU模型进行全基因组关联分析,鉴定与生长性状相关的基因组区域和候选基因。结果表明,达100 kg体重日龄、达100 kg平均日增重、达100 kg活体背膘厚和达100 kg眼肌面积性状的遗传力分别为0.27、0.29、0.16和0.11,属于中等遗传力性状,达100 kg体重日龄和达100 kg平均日增重的遗传相关和表型相关值均为-0.99,为强负相关关系。全基因关联分析结果表明,在达100 kg体重日龄和达100 kg平均日增重性状上共检测到3个显著SNPs,均位于10号染色体上。使用最小显著差数检验法对显著SNPs的等位基因型进行多重比较,显著SNPs rs81237156、rs81424502和rs81313018的优势等位基因分别为G、T和A。候选基因HACD1和BAMBI在显著SNPs附近的候选区域内被鉴定与猪生长性状相关。本研究新发现的候选基因将促进对生长性状的理解,而新变异的识别可为猪育种的潜在标记提供新的思路。

关键词: 猪, 生长性状, 全基因组关联分析, 候选基因, FarmCPU

Abstract: This study aimed to perform genome-wide association study for candidate gene identification of growth traits in Duroc pigs. In this study, 361 Duroc boars were selected as the experimental population, the days to 100 kg, average daily gain to 100 kg, average backfat thickness to 100 kg and loin muscle area to 100 kg traits were measured. The genotype information was typed by 50K single nucleotide polymorphism array, and 31 618 SNPs were obtained after quality control. The genetic parameters of growth traits were estimated using genome information by GCTA software, and candidate genes related to growth traits were identified by GWAS using R software rMVP package FarmCPU model. The results showed that the heritabilities of the days to 100 kg, average daily gain to 100 kg, average backfat thickness to 100 kg and loin muscle area to 100 kg were 0.27, 0.29, 0.16 and 0.11, respectively, which were moderate heritability traits. The genetic correlation and phenotypic correlation of days to 100 kg and average daily gain to 100 kg were -0.99, indicating the strong negative correlation. The results of GWAS showed that 3 significant SNPs were detected on the days to 100 kg and average daily gain to 100 kg traits, located on chromosome 10. Multiple comparison of allelic genotypes of significant SNPs was performed by Least significant difference test. The dominant alleles of significant SNPs rs81237156, rs81424502 and rs81313018 were G, T, and A, respectively. Candidate genes HACD1 and BAMB were identified to be associated with pig growth traits in the candidate region near significant SNPs. In this study, the newly discovered candidate genes will promote the understanding of growth traits, and the identification of new variants can provide new insights for potential markers in pig breeding.

Key words: pig, growth traits, GWAS, candidate genes, FarmCPU

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