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利用微卫星和SNP标记信息进行奶牛亲子鉴定的模拟研究
引用本文: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).
作者姓名:周磊  初芹  刘林  刘剑锋  王雅春  张沅
作者单位:1. 中国农业大学动物科技学院,北京,100193
2. 北京市农林科学院畜牧兽医研究所,北京,100097
3. 北京奶牛中心,北京,100192
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
摘    要:本研究旨在比较微卫星标记和单核苷酸多态(SNP)标记进行奶牛亲子鉴定的效率。研究中随机模拟了10 000对含微卫星或SNP标记信息的非亲子关系的个体,用排除法进行亲子鉴定,该过程重复100次。结果表明,标记的多态性对于排除概率的影响最大。达到同样的排除概率,所需低多态标记数量远高于高多态标记。当真实母亲基因型已知时,个体父亲的推断效率较高。达到同样的排除概率,无论标记多态性高或低,3种鉴定类型所需SNP标记数量均大于微卫星标记。当SNP和微卫星标记的平均杂合度为0.484和0.875时,需要的SNP标记数是微卫星标记的5~6倍;当SNP和微卫星标记的平均杂合度为0.363和0.566时,需要的SNP标记数约是微卫星标记的2倍。在2种标记中,达到同样排除概率(大于0.99),采用至少2个矛盾推断原则推断所需标记数为单个矛盾推断原则的1.45倍。结果表明,由于SNP标记具有误判率低、重复性高和易于高通量自动化检测等特点,随着检测成本降低,SNP标记将来完全有可能取代微卫星标记用于奶牛群体的亲子鉴定。

关 键 词:奶牛  SNP  微卫星标记  亲子鉴定  排除概率  模拟  

Simulation Study on Paternity Identification in Dairy Cattle with Microsatellite and SNP Markers
ZHOU Lei,CHU Qin,LIU Lin,LIU Jian-feng,WANG Ya-chun,ZHANG Yuan.Simulation Study on Paternity Identification in Dairy Cattle with Microsatellite and SNP Markers[J].Acta Veterinaria et Zootechnica Sinica,2011,42(2).
Authors:ZHOU Lei  CHU Qin  LIU Lin  LIU Jian-feng  WANG Ya-chun  ZHANG Yuan
Institution:ZHOU Lei1,CHU Qin2,LIU Lin3,LIU Jian-feng1,WANG Ya-chun1,ZHANG Yuan1(1.College of Animal Science and Technology,China Agricultural University,Beijing 100193,China,2.Institute of Animal Husbandry and Veterinary Medicine,Beijing Academy of Agricultureand Forestry Sciences,Beijing 100097,3.Beijing Dairy Cattle Center,Beijing 100192,China)
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 genotypes of 10 000 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 ...
Keywords:dairy cattle  SNP  microsatellite marker  paternity identification  exclusion probability  simulate  
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