立陶宛奶牛品种的遗传变异

R. Lapickis, L. Griciuvienė, A. Aleksandravičienė, I. Lipatova, A. Paulauskas
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引用次数: 2

摘要

通过引入板基因的变异,进行了大量不同的科学研究,以保存品种和改进现有品种,这最能显示出改善奶牛健康和生产质量的表型特征。本研究的主要目的是对立陶宛牛品种的遗传变异进行分析。研究了三个亚种群:立陶宛黑白犬(95只)、立陶宛红犬(49只)和立陶宛白红犬(48只)。利用11个荧光微卫星引物对牛遗传物质进行基因分型,以估计遗传变异。所有位点均呈现高度多态性,共检测到292个不同的等位基因(Na)。在所有评估的亚群中检测到32个私有等位基因。在完成基于等位基因频率分布的两两种群分配后,三个种群表现出分成三个独立集群的趋势。然而,基于遗传距离的主坐标分析(PCoA)显示没有预期的明确分组。贝叶斯结构分析显示了三个遗传簇。FST(0.001 ~ 0.027)和Nei遗传距离(0.029 ~ 0.084)分析表明,牛群亚群体间的遗传多样性低于亚群体内的遗传多样性。
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Genetic variability of dairy cattle breeds in Lithuania
Large numbers of different scientific studies are conducted to preserve the breeds and improve the existing ones by introducing the variability of the plate genes, which best shows the phenotypic characteristics that can improve the health of dairy cattle and the quality of their production. The main purpose of this study was to perform an analysis of genetic variability of Lithuanian cattle breeds. Three subpopulation groups were studied: Lithuanian Black and White (95 individuals), Lithuanian Red (49), and Lithuanian White and Red (48). Bovine genetic material was genotyped using a total of 11 fluorescent microsatellite primers to estimate genetic variability. All loci presented a high degree of polymorphism and a total of 292 different alleles (Na) were detected. Thirty-two private alleles were detected in all evaluated subpopulations. After completing pairwise population assignment, which is based on the distribution of allelic frequencies, three populations showed the tendency to group into three separate clusters. However, the performed Principal Coordinates Analysis (PCoA), which is based on genetic distances, showed no anticipated clear grouping. Bayesian structure analysis revealed three genetic clusters. Analysis of FST (0.001–0.027) and Nei genetic distance (0.029–0.084) revealed that the genetic diversity of inter subpopulation in cattle groups was estimated to be lower than the genetic diversity of intra subpopulation.
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