畜牧兽医学报2011,Vol.42Issue(2):169-176,8.
利用微卫星和SNP标记信息进行奶牛亲子鉴定的模拟研究
Simulation Study on Paternity Identification in Dairy Cattle with Microsatellite and SNP Markers
摘要
Abstract
The objective of this study was to compare the efficiency of microsatellites and single nucleotide polymorphism (SNP) markers in paternity identification. Microsatellites or SNP geno types of 10000 pseudo-parent-child relationship individuals were randomly simulated, exclusion approach was employed in paternity identification, and this procedure was repeated 100 times.The results showed that exclusion probability was mostly influenced by the polymorphism of markers. To achieve the same exclusion probability, the needed number of low polymorphic markers was greatly higher than that of high polymorphic markers. When the genotypes of the actual mother were available, the efficiency of paternity inference could be greatly improved. No matter to high or low polymorphic markers, more SNPs were required than microsatellites in each inferential scenario, to achieve the same exclusion probability. When the average heterozygosity of SNPs and microsatellites were 0. 484 and 0. 875, the needed number of SNPs was 5~6 times more than that of microsatellites. When the average heterozygosity of SNPs and microsatellites were 0. 363 and 0. 566, the needed number of SNPs was about 2 times more than that of microsatellites. When at least 2 conflicts were required in inference, 0. 45 times more markers were necessary, to achieve the same exclusion probability (> 0. 99) , comparing to that required at least 1 conflict, for both two kinds of markers. With the dropping of the genotyping cost, and other characteristics of SNPs, such as lower genotyping error rate, higher repeatability and amenable to high-throughput automated analysis, it is very promising that SNPs would replace microsatellites for dairy paternity identification in the future.关键词
奶牛/SNP/微卫星标记/亲子鉴定/排除概率/模拟分类
农业科技引用本文复制引用
周磊,初芹,刘林,刘剑锋,王雅春,张沅..利用微卫星和SNP标记信息进行奶牛亲子鉴定的模拟研究[J].畜牧兽医学报,2011,42(2):169-176,8.基金项目
"十一五"国家科技支撑计划课题(2006BAD04A01 ()
2006BAD01A10 ()
2008BADB2B03) ()
国家奶牛产业技术体系专项资金 ()