Gurgul Artur, Pawlina Klaudia, Frys-Żurek Monika, Bugno-Poniewierska Monika
Laboratory of Genomics, National Research Institute of Animal Production, Balice, Poland.
Anim Sci J. 2015 Jan;86(1):17-24. doi: 10.1111/asj.12242. Epub 2014 Aug 15.
Genetic improvement of animals based on artificial selection is leading to changes in the frequency of genes related to desirable production traits. The changes are reflected by the neutral, intergenic single nucleotide polymorphims (SNPs) being in long-range linkage disequilibrium with functional polymorphisms. Genome-wide SNP analysis tools designed for cattle, allow for scanning divergences in allelic frequencies between distinct breeds and thus for identification of genomic regions which were divergently selected in breeds' histories. In this study, by using Bovine SNP50 assay, we attempted to identify genomic regions showing the highest differences in allele frequencies between two distinct cattle breeds - preserved, unselected Polish Red breed and highly selected Holstein cattle. Our study revealed 19 genomic regions encompassing 55 protein-coding genes and numerous quantitative trait loci which potentially may underlie some of the phenotypic traits distinguishing the breeds.
基于人工选择的动物遗传改良正在导致与理想生产性状相关的基因频率发生变化。这些变化通过与功能多态性处于长程连锁不平衡状态的中性基因间单核苷酸多态性(SNP)得以体现。为牛设计的全基因组SNP分析工具,能够扫描不同品种之间等位基因频率的差异,从而识别在品种历史中被差异选择的基因组区域。在本研究中,我们使用牛SNP50检测法,试图识别两个不同牛品种——保存完好、未经选择的波兰红牛品种和经过高度选择的荷斯坦牛之间等位基因频率差异最大的基因组区域。我们的研究揭示了19个基因组区域,其中包含55个蛋白质编码基因和众多数量性状位点,这些位点可能是区分这两个品种的一些表型性状的潜在基础。