期刊
ANIMAL GENETICS
卷 43, 期 -, 页码 45-55出版社
WILEY-BLACKWELL
DOI: 10.1111/j.1365-2052.2012.02348.x
关键词
dairy cattle; genomic selection; linkage disequilibrium; selection signatures
资金
- Israel Milk Marketing Board
- Israeli Ministry of Agriculture & Rural Development
- European Sixth Research and Technological Development Framework Programme [016250-2 SABRE]
- Binational Agricultural Research and Development Fund (BARD) Research Project [IS-4394-11R]
Strong selection in the Israeli Holstein dairy cattle population over the last three decades should have left clear signatures of selection. Two experimental approaches were applied to detect evidence of contemporary selection based on the 54K BeadChip genotypes of 1000 Israeli Holstein bulls: (i) the long-range haplotype test, which searches for structural evidence resulting from selective sweep, and (ii) direct analysis of the changes in haplotypes frequencies over time combined with linkage disequilibrium blocks haplotype-based association analysis. Ten traits were analyzed: the PD07 Israeli selection index, milk, milk fat, % fat, milk protein, % protein, somatic cell score, female fertility, milk production persistency and herd life. The long-range haplotype test detected 15% of the 3288 haplotypes that showed significant positive frequency trends (P<0.05) and was significantly correlated with the substitution effects of the haplotypes and the selection intensities for the different traits. Thirty signatures of recent selection, which correspond to both approaches and affect the Israeli PD07 selection index, were identified on 17 of the 29 autosomes. The second experimental approach also was used to estimate the selection intensity of the different traits. The correlation between the selection intensities for the traits analyzed, derived from changes in haplotype frequencies in the population of bulls, and those derived from trait-based analysis of the cow population was 0.93 over all traits. Thus, the changes in haplotypes frequencies in the bulls population accurately estimate genetic trends in the general cow population and can be used to detect signatures of recent selection.
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