畜牧兽医学报 ›› 2024, Vol. 55 ›› Issue (1): 99-109.doi: 10.11843/j.issn.0366-6964.2024.01.011

• 遗传育种 • 上一篇    下一篇

基于全基因组关联分析揭示肉鸡腿病发生的遗传机制

唐鑫鑫1,2, 郑炬梅2, 骆娜2, 营凡3, 朱丹3, 李森3, 刘大伟3, 安炳星2, 文杰2, 赵桂苹2*, 李和刚1*   

  1. 1. 青岛农业大学动物科技学院, 青岛 266109;
    2. 中国农业科学院北京畜牧兽医研究所, 北京 100193;
    3. 佛山市高明区新广农牧有限公司, 佛山 528000
  • 收稿日期:2023-08-04 出版日期:2024-01-23 发布日期:2024-01-24
  • 通讯作者: 赵桂苹,主要从事鸡遗传育种研究,E-mail:zhaoguiping@caas.cn;李和刚,主要从事动物遗传育种研究,E-mail:201701018@qau.edu.cn
  • 作者简介:唐鑫鑫(1999-),女,湖南醴陵人,硕士,主要从事动物遗传育种与繁殖研究,E-mail:tangeliauk@163.com
  • 基金资助:
    国家自然科学基金(32230101);十四五国家重点研发计划课题(2022YFF1000203)

Genetic Mechanism of Broiler Leg Disease Based on Genome-Wide Association Analysis

TANG Xinxin1,2, ZHENG Jumei2, LUO Na2, YING Fan3, ZHU Dan3, LI Sen3, LIU Dawei3, AN Bingxing2, WEN Jie2, ZHAO Guiping2*, LI Hegang1*   

  1. 1. College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China;
    2. Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
    3. Xinguang Farming & Animal Husbandry Co. in Gaoming District of Foshan City, Foshan 528000, China
  • Received:2023-08-04 Online:2024-01-23 Published:2024-01-24

摘要: 旨在揭示肉鸡腿病发生的遗传机制以降低肉鸡腿病发生率。采用我国自主培育的"广明2号"多品系、多世代共2 331只白羽肉鸡公鸡作为试验素材,于42日龄通过X光鉴定腿部健康状况,利用"京芯一号"55K SNP芯片对全部个体进行基因分型,使用plink运用二分类性状的逻辑回归模型(logistic regression model,LR Model)对腿部健康表型进行全基因组关联分析(genome-wide association study, GWAS)。将不同群体芯片数据合并进行质控后,保留2 330个个体(2 256只健康,74只患病)和30 414个SNPs位点用于后续分析。通过GWAS分析筛选到5个潜在SNPs位点,分布在6号和18号染色体上,分别注释到与腿病相关的3个功能候选基因TBCD、SIRT1和PBLD上。本研究为白羽肉鸡腿部健康表型提供了重要的遗传位点和候选基因,为推进肉鸡抗病育种进程提供遗传基础。

关键词: 白羽肉鸡, 腿病, 全基因组关联分析, 候选基因

Abstract: This study aimed to reveal the genetic mechanism of leg disease in broilers, with the objective of mitigating the incidence of leg disease in broilers. This study employed a comprehensive approach involving 2 331 white-feathered broilers of multi-strain and multi-generation of "Guangming No. 2" independently bred in China. The assessment of leg health and diseases was performed by X-ray analysis at 42 days of age. For genotyping, the "Jingxin No.1" 55K SNP microarray was used for all individuals, and the genome-wide association study (GWAS) of leg health phenotypes was performed utilizing a logistic regression model tailored for dichotomous traits via plink software. After the integration and meticulous quality control of microarray data across diverse populations, a total of 2 330 individuals (including 2 256 healthy and 74 leg disease subjects) and 30 414 SNPs loci were deemed suitable for subsequent analysis. Through the GWAS analysis, 5 potential SNPs loci, distributed on chromosomes 6 and 18, were identified. Additionally, the investigation led to the annotation of 3 functional candidate genes, namely TBCD, SIRT1, and PBLD, which are directly related to leg disease. This study results provide important genetic loci and candidate genes for the healthy leg phenotype of white-feathered broilers, and provides a genetic basis for advancing the breeding process of broiler disease resistance.

Key words: white-feathered broiler, leg disease, genome-wide association analysis, candidate genes

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