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The distribution of SNP marker effects for faecal worm egg count in sheep, and the feasibility of using these markers to predict genetic merit for resistance to worm infections

机译:SNP标记对绵羊粪便蠕虫卵计数的影响分布,以及使用这些标记来预测抗蠕虫感染的遗传价值的可行性

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摘要

Genetic resistance to gastrointestinal worms is a complex trait of great importance in both livestock and humans. In order to gain insights into the genetic architecture of this trait, a mixed breed population of sheep was artificially infected with Trichostrongylus colubriformis (n = 3326) and then Haemonchus contortus (n = 2669) to measure faecal worm egg count (WEC). The population was genotyped with the Illumina OvineSNP50 BeadChip and 48 640 single nucleotide polymorphism (SNP) markers passed the quality controls. An independent population of 316 sires of mixed breeds with accurate estimated breeding values for WEC were genotyped for the same SNP to assess the results obtained from the first population. We used principal components from the genomic relationship matrix among genotyped individuals to account for population stratification, and a novel approach to directly account for the sampling error associated with each SNP marker regression. The largest marker effects were estimated to explain an average of 0.48%(T. colubriformis) or 0.08% (H. contortus) of the phenotypic variance in WEC. These effects are small but consistent with results from other complex traits. We also demonstrated that methods which use all markers simultaneously can successfully predict genetic merit for resistance to worms, despite the small effects of individual markers. Correlations of genomic predictions with breeding values of the industry sires reached a maximum of 0.32. We estimate that effective across-breed predictions of genetic merit with multi-breed populations will require an average marker spacing of approximately 10 kbp.
机译:对胃肠蠕虫的遗传抗性是对牲畜和人类都非常重要的复杂特征。为了深入了解该性状的遗传结构,人工混合了羊的Trichostrongylus colubriformis(n = 3326),然后用弯曲的Haemonchus contortus(n = 2669)感染了混合羊群,以测量粪便蠕虫卵数(WEC)。使用Illumina OvineSNP50 BeadChip对种群进行基因分型,并且48 640个单核苷酸多态性(SNP)标记通过了质量控制。对具有相同SNP的316个杂交品种的独立种群(具有准确的WEC育种估计值)进行基因分型,以评估从第一个种群获得的结果。我们使用基因型个体之间的基因组关系矩阵中的主要成分来说明种群分层,并使用一种新颖的方法来直接说明与每个SNP标记回归相关的抽样误差。据估计,最大的标记物效应可解释WEC中表型变异的平均值的0.48%(T。colubriformis)或0.08%(H。contortus)。这些影响很小,但与其他复杂性状的结果一致。我们还证明了同时使用所有标记的方法可以成功预测对蠕虫的抗性遗传价值,尽管单个标记的作用很小。基因组预测值与该行业父系的育种值的相关性最高达到0.32。我们估计,对多品种种群的遗传价值进行有效的跨品种预测将需要大约10 kbp的平均标记间距。

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