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
  • [31] Genome-Wide Association Study for Reproductive Traits in a Duroc Pig Population
    Zhang, Zhe
    Chen, Zitao
    Ye, Shaopan
    He, Yingting
    Huang, Shuwen
    Yuan, Xiaolong
    Chen, Zanmou
    Zhang, Hao
    Li, Jiaqi
    [J]. ANIMALS, 2019, 9 (10):
  • [32] Genome-Wide Association Scan of Trait Depression
    Terracciano, Antonio
    Tanaka, Toshiko
    Sutin, Angelina R.
    Sanna, Serena
    Deiana, Barbara
    Lai, Sandra
    Uda, Manuela
    Schlessinger, David
    Abecasis, Goncalo R.
    Ferrucci, Luigi
    Costa, Paul T., Jr.
    [J]. BIOLOGICAL PSYCHIATRY, 2010, 68 (09) : 811 - 817
  • [33] Genome-wide association studies
    [J]. Nature Reviews Methods Primers, 1
  • [34] Genome-wide association studies for discovery of genes involved in asthma
    Akhabir, Loubna
    Sandford, Andrew J.
    [J]. RESPIROLOGY, 2011, 16 (03) : 396 - 406
  • [35] Genome-wide mapping for fatty acid composition and melting point of fat in a purebred Duroc pig population
    Uemoto, Y.
    Soma, Y.
    Sato, S.
    Ishida, M.
    Shibata, T.
    Kadowaki, H.
    Kobayashi, E.
    Suzuki, K.
    [J]. ANIMAL GENETICS, 2012, 43 (01) : 27 - 34
  • [36] Genome-wide association studies
    Uffelmann, Emil
    Huang, Qin Qin
    Munung, Nchangwi Syntia
    de Vries, Jantina
    Okada, Yukinori
    Martin, Alicia R.
    Martin, Hilary C.
    Lappalainen, Tuuli
    Posthuma, Danielle
    [J]. NATURE REVIEWS METHODS PRIMERS, 2021, 1 (01):
  • [37] Genome-Wide Association Studies
    Guo, Xiuqing
    Rotter, Jerome I.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 322 (17): : 1705 - 1706
  • [38] Identification of genes related to intramuscular fat content of pigs using genome-wide association study
    Won, Sohyoung
    Jung, Jaehoon
    Park, Eungwoo
    Kim, Heebal
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2018, 31 (02): : 157 - 162
  • [39] Genome-wide association study (GWAS), quantitative trait analyses and population structure
    Yoo, Hee Jeong
    [J]. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2011, 20 (01) : S80 - S80
  • [40] Identification of QTL and genes for pod number in soybean by linkage analysis and genome-wide association studies
    Song, Jie
    Sun, Xu
    Zhang, Kaixin
    Liu, Shulin
    Wang, Jiajing
    Yang, Chang
    Jiang, Sitong
    Siyal, Mahfishan
    Li, Xiyu
    Qi, Zhongying
    Wang, Yue
    Tian, Xiaocui
    Fang, Yanlong
    Tian, Zhixi
    Li, Wen-Xia
    Ning, Hailong
    [J]. MOLECULAR BREEDING, 2020, 40 (06)