The use of genetic markers to measure genomic response to selection in livestock

被引:0
|
作者
Gomez-Raya, L
Olsen, HG
Lingaas, F
Klungland, H
Våge, DI
Olsaker, I
Talle, SB
Aasland, M
Lien, S
机构
[1] IRTA, Ctr Udl, Area Prod Anim, Lleida 25198, Spain
[2] Agr Univ Norway, Dept Anim Sci, N-1432 As, Norway
[3] Norwegian Sch Vet Sci, Dept Morphol Genet & Aquat Biol, N-0033 Oslo, Norway
关键词
D O I
暂无
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
A method to measure genomic response to natural and artificial selection by means of genetic markers in livestock is proposed. Genomic response through several levels of selection was measured using sequential testing for distorted segregation of alleles among selected and nonselected sons, single-sperm typing, and a test with records for growth performance. Statistical power at a significance level of 0.05 was >0.5 for a marker linked to a QTL with recombination fractions 0, 0.10, and 0.20 for detecting genomic responses for gene effects of 0.6, 0.7, and 1.0 phenotypic standard deviations, respectively. Genomic response to artificial selection in six commercial bull sire families comprising 285 half-sib sons selected for growth performance was measured using 282 genetic markers evenly distributed over the cattle genome. A genome-wide test using selected sons was significant (P < 0.001), indicating that selection induces changes in the genetic makeup of commercial cattle populations. Markers located in chromosomes 6, 10, and 16 identified regions in those chromosomes that are changing due to artificial selection as revealed by the association of records of performance with alleles at specific markers. Either natural selection or genetic drift may cause the observed genomic response for markers in chromosomes 1, 7, and 17.
引用
收藏
页码:1381 / 1388
页数:8
相关论文
共 50 条
  • [21] Genetic markers as selection criteria
    Callaghan, MJ
    Beh, KJ
    SUSTAINABLE PARASITE CONTROL IN SMALL RUMINANTS, 1996, (74): : 178 - 185
  • [22] Software Development for Deterministic Prediction of Selection Response in Livestock Breeding Programs Using Genomic Information.
    Su, H.
    Bijma, P.
    van der Werf, J.
    Dekkers, J. C. M.
    JOURNAL OF ANIMAL SCIENCE, 2018, 96 : 19 - 19
  • [23] The impact of genetic markers on selection
    Davis, GP
    DeNise, SK
    JOURNAL OF ANIMAL SCIENCE, 1998, 76 (09) : 2331 - 2339
  • [24] Potential of genotyping-by-sequencing for genomic selection in livestock populations
    Gorjanc, Gregor
    Cleveland, Matthew A.
    Houston, Ross D.
    Hickey, John M.
    GENETICS SELECTION EVOLUTION, 2015, 47
  • [25] Potential of genotyping-by-sequencing for genomic selection in livestock populations
    Gregor Gorjanc
    Matthew A Cleveland
    Ross D Houston
    John M Hickey
    Genetics Selection Evolution, 47
  • [26] Impacts of genotyping strategies on long-term genetic response in genomic selection
    Nishio, Motohide
    Satoh, Masahiro
    ANIMAL SCIENCE JOURNAL, 2014, 85 (05) : 511 - 516
  • [27] THE USE OF GENETIC POLYMORPHISMS IN LIVESTOCK IMPROVEMENT
    SMITH, C
    SIMPSON, SP
    JOURNAL OF ANIMAL BREEDING AND GENETICS-ZEITSCHRIFT FUR TIERZUCHTUNG UND ZUCHTUNGSBIOLOGIE, 1986, 103 (03): : 205 - 217
  • [28] USE OF GENETIC MARKERS
    不详
    NATURE, 1972, 238 (5365) : 432 - &
  • [29] Invited review: Genetic and genomic mouse models for livestock research
    Arends, Danny
    Hesse, Deike
    Brockmann, Gudrun A.
    ARCHIVES ANIMAL BREEDING, 2018, 61 (01) : 87 - 98
  • [30] Use of the Molecular-Genetic Markers in the Selection Process of the Ukrainian Animal Husbandry
    Kopylov, K. V.
    Kopylova, K. V.
    Shelov, A. V.
    Berezovsky, O. V.
    AGRICULTURAL SCIENCE AND PRACTICE, 2014, 1 (02): : 24 - 32