Genome-wide association studies for fatty acid metabolic traits in five divergent pig populations

被引:0
|
作者
Wanchang Zhang
Junjie Bin Yang
Leilei Zhang
Junwu Cui
Congying Ma
Huashui Chen
Shijun Ai
Jun Xiao
Lusheng Ren
机构
[1] State Key Laboratory of Pig Genetic Improvement and Production Technology,
[2] Jiangxi Agricultural University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Fatty acid composition profiles are important indicators of meat quality and tasting flavor. Metabolic indices of fatty acids are more authentic to reflect meat nutrition and public acceptance. To investigate the genetic mechanism of fatty acid metabolic indices in pork, we conducted genome-wide association studies (GWAS) for 33 fatty acid metabolic traits in five pig populations. We identified a total of 865 single nucleotide polymorphisms (SNPs), corresponding to 11 genome-wide significant loci on nine chromosomes and 12 suggestive loci on nine chromosomes. Our findings not only confirmed seven previously reported QTL with stronger association strength, but also revealed four novel population-specific loci, showing that investigations on intermediate phenotypes like the metabolic traits of fatty acids can increase the statistical power of GWAS for end-point phenotypes. We proposed a list of candidate genes at the identified loci, including three novel genes (FADS2, SREBF1 and PLA2G7). Further, we constructed the functional networks involving these candidate genes and deduced the potential fatty acid metabolic pathway. These findings advance our understanding of the genetic basis of fatty acid composition in pigs. The results from European hybrid commercial pigs can be immediately transited into breeding practice for beneficial fatty acid composition.
引用
收藏
相关论文
共 50 条
  • [21] A genome-wide association study of metabolic traits in human urine
    Karsten Suhre
    Henri Wallaschofski
    Johannes Raffler
    Nele Friedrich
    Robin Haring
    Kathrin Michael
    Christina Wasner
    Alexander Krebs
    Florian Kronenberg
    David Chang
    Christa Meisinger
    H-Erich Wichmann
    Wolfgang Hoffmann
    Henry Völzke
    Uwe Völker
    Alexander Teumer
    Reiner Biffar
    Thomas Kocher
    Stephan B Felix
    Thomas Illig
    Heyo K Kroemer
    Christian Gieger
    Werner Römisch-Margl
    Matthias Nauck
    Nature Genetics, 2011, 43 : 565 - 569
  • [22] Genome-Wide Association Studies of Cancer in Diverse Populations
    Park, Sungshim L.
    Cheng, Iona
    Haiman, Christopher A.
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2018, 27 (04) : 405 - 417
  • [23] A genome-wide association study of growth and fatness traits in two pig populations with different genetic backgrounds
    Jiang, Y.
    Tang, S.
    Wang, C.
    Wang, Y.
    Qin, Y.
    Wang, Y.
    Zhang, J.
    Song, H.
    Mi, S.
    Yu, F.
    Xiao, W.
    Zhang, Q.
    Ding, X.
    JOURNAL OF ANIMAL SCIENCE, 2018, 96 (03) : 806 - 816
  • [24] Genome-wide association study of metabolic syndrome in Korean populations
    Oh, Seung-Won
    Lee, Jong-Eun
    Shin, Eunsoon
    Kwon, Hyuktae
    Choe, Eun Kyung
    Choi, Su-Yeon
    Rhee, Hwanseok
    Choi, Seung Ho
    PLOS ONE, 2020, 15 (01):
  • [25] A Perception on Genome-Wide Genetic Analysis of Metabolic Traits in Arab Populations
    Hebbar, Prashantha
    Abubaker, Jehad Ahmed
    Abu-Farha, Mohamed
    Tuomilehto, Jaakko
    Al-Mulla, Fahd
    Thanaraj, Thangavel Alphonse
    FRONTIERS IN ENDOCRINOLOGY, 2019, 10
  • [26] A genome-wide association study of reproductive traits in a Yorkshire pig population
    Uzzaman, Md. Rasel
    Park, Jong-Eun
    Lee, Kyung-Tai
    Cho, Eun-Seok
    Choi, Bong-Hwan
    Kim, Tae-Hun
    LIVESTOCK SCIENCE, 2018, 209 : 67 - 72
  • [27] 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
    ANIMALS, 2019, 9 (10):
  • [28] Genome-wide association studies of obesity and metabolic syndrome
    Fall, Tove
    Ingelsson, Erik
    MOLECULAR AND CELLULAR ENDOCRINOLOGY, 2014, 382 (01) : 740 - 757
  • [29] A meta analysis of genome-wide association studies for limb bone lengths in four pig populations
    Yuanmei Guo
    Lijuan Hou
    Xufei Zhang
    Min Huang
    Huirong Mao
    Hao Chen
    Junwu Ma
    Congying Chen
    Huashui Ai
    Jun Ren
    Lusheng Huang
    BMC Genetics, 16
  • [30] A mixed-model approach for genome-wide association studies of correlated traits in structured populations
    Arthur Korte
    Bjarni J Vilhjálmsson
    Vincent Segura
    Alexander Platt
    Quan Long
    Magnus Nordborg
    Nature Genetics, 2012, 44 : 1066 - 1071