Genome-wide association study of economically important traits in Charolais and Limousin beef cows

被引:18
|
作者
Keogh, K. [1 ]
Carthy, T. R. [1 ]
McClure, M. C. [2 ]
Waters, S. M. [1 ]
Kenny, D. A. [1 ]
机构
[1] Teagasc Grange, Anim & Grassland Res & Innovat Ctr, Anim & Biosci Res Dept, Dunsany C15 PW93, Meath, Ireland
[2] Irish Cattle Breeding Federat, Highfield House, Bandon, Cork, Ireland
关键词
Charolais cows; Genome-wide association study; Limousin cows; production traits; reproduction traits; SINGLE NUCLEOTIDE POLYMORPHISMS; REPRODUCTIVE-PERFORMANCE; CATTLE; CARCASS; FERTILITY; GENES; DAIRY; SUSTAINABILITY; MUTATIONS; DISCOVERY;
D O I
10.1016/j.animal.2020.100011
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Genomic selection has proven effective for advancing genetic gain for key profit traits in dairy cattle production systems. However, its impact to-date on genetic improvement programs for beef cattle has been less effective. Despite this, the technology is thought to be particularly useful for low heritability traits such as those associated with reproductive efficiency. The objective of this study was to identify genetic variants associated with key determinants of reproductive and overall productive efficiency in beef cows. The analysis employed a large dataset derived from the national genetic evaluation program in Ireland for two of the most predominant beef breeds, viz. Charolais (n = 5 244 cows) and Limousin (n = 7 304 cows). Single nucleotide polymorphisms (SNPs) were identified as being statistically significantly associated (adj. P < 0.05) with both reproductive and productive traits for both breed types. However, there was little across breed commonality, with only two SNPs (rs110240246 and rs110344317; adj. P < 0.05) located within the genomic regions of the LCORL and MSTN genes respectively, identified in both Charolais and Limousin populations, associated with traits including carcass weight, cull-cow weight and live-weight. Significant SNPs within the MSTN gene were also associated with both reproduction and production related traits within each breed. Finally, traits including calving difficulty, calf mortality and calving interval were associated with SNPs within genomic regions comprising genes involved in cellular growth and lipid metabolism. Genetic variants identified as associated with both important reproductive efficiency and production related traits from this study warrant further analyses for their potential incorporation into breeding programmes to support the sustainability of beef cattle production. (C) 2020 Published by Elsevier Inc. on behalf of The Animal Consortium.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Genome-wide association study for feed efficiency and growth traits in U.S. beef cattle
    Christopher M. Seabury
    David L. Oldeschulte
    Mahdi Saatchi
    Jonathan E. Beever
    Jared E. Decker
    Yvette A. Halley
    Eric K. Bhattarai
    Maral Molaei
    Harvey C. Freetly
    Stephanie L. Hansen
    Helen Yampara-Iquise
    Kristen A. Johnson
    Monty S. Kerley
    JaeWoo Kim
    Daniel D. Loy
    Elisa Marques
    Holly L. Neibergs
    Robert D. Schnabel
    Daniel W. Shike
    Matthew L. Spangler
    Robert L. Weaber
    Dorian J. Garrick
    Jeremy F. Taylor
    BMC Genomics, 18
  • [32] Genome-wide association study for milk production traits in Dual-Purpose Belgian Blue cows
    Atashi, H.
    Wilmot, H.
    Vanderick, S.
    Hubin, X.
    Gengler, N.
    LIVESTOCK SCIENCE, 2022, 256
  • [33] A Million-Cow Genome-Wide Association Study of Three Fertility Traits in US Holstein Cows
    Liang, Zuoxiang
    Prakapenka, Dzianis
    VanRaden, Paul M.
    Jiang, Jicai
    Ma, Li
    Da, Yang
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (13)
  • [34] Genome-Wide Association Study for Glycemic Traits in the Korean Population
    Hwang, Joo-Yeon
    Go, Min Jin
    Kim, Young Jim
    Lee, Juyoung
    Kim, Bong-Jo
    Han, Bok-Ghee
    Lee, Jong-Young
    Cho, Yoon Shin
    DIABETES, 2012, 61 : A399 - A399
  • [35] Genome-wide association study for biomass accumulation traits in soybean
    Wang, Xin
    Zhou, Shaodong
    Wang, Jie
    Lin, Wenxin
    Yao, Xiaolei
    Su, Jiaqing
    Li, Haiyang
    Fang, Chao
    Kong, Fanjiang
    Guan, Yuefeng
    MOLECULAR BREEDING, 2023, 43 (05)
  • [36] A genome-wide association study for quantitative traits in schizophrenia in China
    Ma, X.
    Deng, W.
    Liu, X.
    Li, M.
    Chen, Z.
    He, Z.
    Wang, Y.
    Wang, Q.
    Hu, X.
    Collier, D. A.
    Li, T.
    GENES BRAIN AND BEHAVIOR, 2011, 10 (07) : 734 - 739
  • [37] Genome-Wide Association Study of Kernel Traits in Aegilops tauschii
    Wang, Qing
    Yan, Ning
    Chen, Hao
    Li, Sirui
    Hu, Haiyan
    Lin, Yu
    Shi, Haoran
    Zhou, Kunyu
    Jiang, Xiaojun
    Yu, Shifan
    Li, Caixia
    Chen, Guangdeng
    Yang, Zisong
    Liu, Yaxi
    FRONTIERS IN GENETICS, 2021, 12
  • [38] A genome-wide association study of metabolic traits in human urine
    Suhre, Karsten
    Wallaschofski, Henri
    Raffler, Johannes
    Friedrich, Nele
    Haring, Robin
    Michael, Kathrin
    Wasner, Christina
    Krebs, Alexander
    Kronenberg, Florian
    Chang, David
    Meisinger, Christa
    Wichmann, H-Erich
    Hoffmann, Wolfgang
    Voelzke, Henry
    Voelker, Uwe
    Teumer, Alexander
    Biffar, Reiner
    Kocher, Thomas
    Felix, Stephan B.
    Illig, Thomas
    Kroemer, Heyo K.
    Gieger, Christian
    Roemisch-Margl, Werner
    Nauck, Matthias
    NATURE GENETICS, 2011, 43 (06) : 565 - U97
  • [39] 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
  • [40] Genome-wide association study of meat quality traits in chicken
    Zhang, T.
    Fan, Q. C.
    Wang, J. Y.
    Zhang, G. X.
    Gu, Y. P.
    Tang, Y.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (03): : 10452 - 10460