立华麻黄鸡体重和肉品质性状全基因组关联分析

doi:10.11843/j.issn.0366-6964.2023.12.010

畜牧兽医学报 ›› 2023, Vol. 54 ›› Issue (12): 4982-4992.doi: 10.11843/j.issn.0366-6964.2023.12.010

立华麻黄鸡体重和肉品质性状全基因组关联分析

范晨宇^1,2, 单艳菊², 章明², 姬改革², 巨晓军², 屠云洁², 贺喜¹, 束婧婷², 刘一帆^2,3*, 张海涵^1*

1. 湖南农业大学动物科学技术学院, 湖南家禽安全生产工程技术研究中心, 长沙 410128;
2. 江苏省家禽科学研究所, 江苏省家禽遗传育种重点实验室, 扬州 225125;
3. 江苏省家禽科学研究所科技创新有限公司, 扬州 211412

收稿日期:2023-07-18 出版日期:2023-12-23 发布日期:2023-12-26
通讯作者: 刘一帆,主要从事家禽肉品质调控机理研究,E-mail:lyfjiangsu@163.com;张海涵,主要从事家禽遗传育种研究,E-mail:zhhoous@163.com
作者简介:范晨宇(1998-),男,内蒙古包头人,硕士,主要从事家禽肉品质调控机理研究,E-mail:fcy9867yjy@163.com
基金资助:
江苏省种业振兴"揭榜挂帅"(JBGS[2021]107);江苏省自然科学基金(BK20211121);现代农业产业技术体系建设专项资金(CARS-41);江苏省农业重大新品种创制项目(PZCZ201728)

Genome-wide Association Study of Body Weight and Meat Quality Traits in Lihua Mahuang Chickens

FAN Chenyu^1,2, SHAN Yanju², ZHANG Ming², JI Gaige², JU Xiaojun², TU Yunjie², HE Xi¹, SHU Jingting², LIU Yifan^2,3*, ZHANG Haihan^1*

1. Hunan Engineering Research Center of Poultry Production Safety, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China;
2. Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China;
3. Jiangsu Poultry Science Institute S & T Innovation Co. Ltd., Yangzhou 211412, China

Received:2023-07-18 Online:2023-12-23 Published:2023-12-26

摘要/Abstract

摘要： 旨在利用全基因组关联分析(GWAS)方法挖掘影响肉鸡体重和肉品质性状的位点和功能基因,为快速型黄羽肉鸡的选育积累理论基础。本试验对象为393只立华麻黄终端父系公鸡,60日龄时进行称重并采集胸肌以测定肉品质性状。通过全基因组重测序获得个体遗传变异,使用PLINK、GEMMA和R软件对体重及肉品质性状进行GWAS分析。结果,共筛选到2个与体重、8个与肉品质性状显著关联的SNPs位点(P<1.15×10^-7);在潜在显著水平鉴定到52个与体重、296个与肉品质关联的位点(P<2.31×10^-6)。通过对这些关联的SNPs进行注释,共筛选到了99个与体重、27个与剪切力、28个与系水力、57个与pH、113个与肉色相关的候选基因。分析认为FSTL3、MBNL3、NPFF、PFKM、PRKG1、SLC13A5、MDFIC、FGD3、AQP1等基因可作为肉鸡体重和肉质性状的关键候选基因。以上研究结果为快速型黄羽肉鸡重要经济性状提供了重要的遗传变异位点和后续基因,为完善优质肉鸡分子选育方法、加快品种选育进展提供了关键的基础数据。

关键词: 快速型黄羽肉鸡, 全基因组关联分析, 体重, 肉品质

Abstract: The purpose of this study was to explore the genetic loci and functional genes affecting the weight and meat quality traits of broilers by genome-wide association study (GWAS), and to accumulate theoretical basis for breeding of fast yellow-feathered broilers. The test subjects were 393 Lihua ephedra terminal paternal roosters, which were weighed and collected breast muscle to determine meat quality traits at 60 days of age. Individual genetic variants were obtained by whole genome resequencing, and GWAS analysis of body weight and meat quality traits was performed using PLINK, GEMMA and R software. A total of 2 SNP loci significantly associated with body weight and 8 SNP loci significantly associated with meat quality traits were screened (P<1.15×10^-7); The 52 loci associated with body weight and 296 loci associated with meat quality were identified at the potentially significant level (P<2.31×10^-6). By annotating these associated SNPs, a total of 99 candidate genes related to body weight, 27 to shear force, 28 to water binding capacity, 57 to pH, and 113 to meat color were selected. It was concluded that FSTL3, MBNL3, NPFF, PFKM, PRKG1, SLC13A5, MDFIC, FGD3, AQP1 may be key candidate genes for body weight and meat quality traits in broilers. The above research results provide important genetic variation sites and subsequent genes for important economic traits of fast type yellow-feathered broilers, and provide key basic data for improving molecular breeding methods for high-quality broilers and accelerating the progress of breed selection.

Key words: fast-growing yellow-feathered broilers, genome-wide association study (GWAS), body weight, meat quality

中图分类号:

S831.2

范晨宇, 单艳菊, 章明, 姬改革, 巨晓军, 屠云洁, 贺喜, 束婧婷, 刘一帆, 张海涵. 立华麻黄鸡体重和肉品质性状全基因组关联分析[J]. 畜牧兽医学报, 2023, 54(12): 4982-4992.

FAN Chenyu, SHAN Yanju, ZHANG Ming, JI Gaige, JU Xiaojun, TU Yunjie, HE Xi, SHU Jingting, LIU Yifan, ZHANG Haihan. Genome-wide Association Study of Body Weight and Meat Quality Traits in Lihua Mahuang Chickens[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(12): 4982-4992.

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立华麻黄鸡体重和肉品质性状全基因组关联分析

Genome-wide Association Study of Body Weight and Meat Quality Traits in Lihua Mahuang Chickens

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