Identification of growth trait related genes in a Yorkshire purebred pig population by genome-wide association studies

被引:38
|
作者
Meng, Qingli [1 ]
Wang, Kejun [2 ]
Liu, Xiaolei [3 ,4 ]
Zhou, Haishen [1 ]
Xu, Li [1 ]
Wang, Zhaojun [1 ]
Fang, Meiying [2 ]
机构
[1] Beijing Breeding Swine Ctr, Beijing 100194, Peoples R China
[2] China Agr Univ, Natl Engn Lab Anim Breeding, MOA Lab Anim Genet & Breeding, Dept Anim Genet & Breeding,Coll Anim Sci & Techno, Beijing 100193, Peoples R China
[3] Huazhong Agr Univ, Key Lab Agr Anim Genet Breeding & Reprod, Minist Educ, Wuhan 430070, Hubei, Peoples R China
[4] Huazhong Agr Univ, Minist Agr, Key Lab Swine Genet & Breeding, Wuhan 430070, Hubei, Peoples R China
来源
关键词
Yorkshire Pig; Genome-wide Association Studies (GWAS); Growth Trait; Single Nucleotide Polymorphisms (SNPs); LARGE WHITE-PIGS; FEED-EFFICIENCY; MEAT QUALITY; EXPRESSION; DIFFERENTIATION; ADIPOGENESIS; ACTIVATION; PATHWAYS; FAMILY; DELAY;
D O I
10.5713/ajas.16.0548
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Objective: The aim of this study is to identify genomic regions or genes controlling growth traits in pigs. Methods: Using a panel of 54,148 single nucleotide polymorphisms (SNPs), we performed a genome-wide Association (GWA) study in 562 pure Yorshire pigs with four growth traits: average daily gain from 30 kg to 100 kg or 115 kg, and days to 100 kg or 115 kg. Fixed and random model Circulating Probability Unification method was used to identify the associations between 54,148 SNPs and these four traits. SNP annotations were performed through the Sus scrofa data set from Ensembl. Bioinformatics analysis, including gene ontology analysis, pathway analysis and network analysis, was used to identify the candidate genes. Results: We detected 6 significant and 12 suggestive SNPs, and identified 9 candidate genes in close proximity to them (suppressor of glucose by autophagy [SOGA1], R-Spondin 2 [RSPO2], mitogen activated protein kinase kinase 6 [MAP2K6], phospholipase C beta 1 [PLCB1], rho GTPASE activating protein 24 [ARHGAP24], cytoplasmic polyadenylation element binding protein 4 [CPEB4], GLI family zinc finger 2 [GLI2], neuronal tyrosine-phosphorylated phosphoinositide-3-kinase adaptor 2 [NYAP2], and zinc finger protein multitype 2 [ZFPM2]). Gene ontology analysis and literature mining indicated that the candidate genes are involved in bone, muscle, fat, and lung development. Pathway analysis revealed that PLCB1 and MAP2K6 participate in the gonadotropin signaling pathway and suggests that these two genes contribute to growth at the onset of puberty. Conclusion: Our results provide new clues for understanding the genetic mechanisms underlying growth traits, and may help improve these traits in future breeding programs.
引用
收藏
页码:462 / 469
页数:8
相关论文
共 50 条
  • [41] Identification of type 2 diabetes genes in Mexican Americans through genome-wide association studies
    Hayes, M. Geoffrey
    Pluzhnikov, Anna
    Miyake, Kazuaki
    Sun, Ying
    Ng, Maggie C. Y.
    Roe, Cheryl A.
    Below, Jennifer E.
    Nicolae, Raluca I.
    Konkashbaev, Anuar
    Bell, Graeme I.
    Cox, Nancy J.
    Hanis, Craig L.
    [J]. DIABETES, 2007, 56 (12) : 3033 - 3044
  • [42] The Effect of Population Structure on Murine Genome-Wide Association Studies
    Wang, Meiyue
    Fang, Zhuoqing
    Yoo, Boyoung
    Bejerano, Gill
    Peltz, Gary
    [J]. FRONTIERS IN GENETICS, 2021, 12
  • [43] Accounting for ancestry: population substructure and genome-wide association studies
    Tian, Chao
    Gregersen, Peter K.
    Seldin, Michael F.
    [J]. HUMAN MOLECULAR GENETICS, 2008, 17 : R143 - R150
  • [44] Information Theory of Mixed Population Genome-Wide Association Studies
    Tahmasebi, Behrooz
    Maddah-Ali, Mohammad Ali
    Motahari, Seyed Abolfazl
    [J]. 2018 IEEE INFORMATION THEORY WORKSHOP (ITW), 2018, : 190 - 194
  • [45] Identification of QTL and genes for pod number in soybean by linkage analysis and genome-wide association studies
    Jie Song
    Xu Sun
    Kaixin Zhang
    Shulin Liu
    Jiajing Wang
    Chang Yang
    Sitong Jiang
    Mahfishan Siyal
    Xiyu Li
    Zhongying Qi
    Yue Wang
    Xiaocui Tian
    Yanlong Fang
    Zhixi Tian
    Wen-Xia Li
    Hailong Ning
    [J]. Molecular Breeding, 2020, 40
  • [46] New approaches to population stratification in genome-wide association studies
    Price, Alkes L.
    Zaitlen, Noah A.
    Reich, David
    Patterson, Nick
    [J]. NATURE REVIEWS GENETICS, 2010, 11 (07) : 459 - 463
  • [47] Population Substructure and Control Selection in Genome-Wide Association Studies
    Yu, Kai
    Wang, Zhaoming
    Li, Qizhai
    Wacholder, Sholom
    Hunter, David J.
    Hoover, Robert N.
    Chanock, Stephen
    Thomas, Gilles
    [J]. PLOS ONE, 2008, 3 (07):
  • [48] New approaches to population stratification in genome-wide association studies
    Alkes L. Price
    Noah A. Zaitlen
    David Reich
    Nick Patterson
    [J]. Nature Reviews Genetics, 2010, 11 : 459 - 463
  • [49] Impact of limited population diversity of genome-wide association studies
    Haga, Susanne B.
    [J]. GENETICS IN MEDICINE, 2010, 12 (02) : 81 - 84