3种不同利用微卫星标记进行个体识别方法的比较研究

Comparison between 3 Individual Identification Methods Using Microsatellite Markers

以鲁西黄牛和渤海黑牛(各30头)12个微卫星座位数据为基础,利用系统树分析法、最大似然法及Bayes方法,比较不同方法对个体识别效率的影响。结果表明:当利用12个微卫星座位和6个低杂合度位点数据时,3种个体识别方法鉴定的准确性均为100%。但利用6个高杂合度座位时,Bayes方法的准确性最高(83.33%),最大似然法次之(76.67%),系统树分析法最低(71.67%)。结果表明,基于Bayes理论的个体识别方法最准确,是进行同类研究的首选工具,而系统树分析法和最大似然法可以作为其补充加以应用。

30 Luxi and 30 Bohai Black individuals were genotyped with 12 microsatellites.The efficiencies of individual identification among phylogenetic tree analysis,maximum likelihood and Bayes approach were compared.The results showed that the individual identification accuracy rates were 100% for 3 methods using 12 microsatellites and 6 low heterozygosity microsatellites.By using 6 high heterozygosity microsatellites,the accuracy rates were 83.33%,76.67% and 71.67% for Bayes approach,maximum likelihood and phylogenetic tree analysis,respectively.All of these indicated that Bayes approach maybe the most accuracy and should be the first choice in individual identification research,and the maximum likelihood and phylogenetic tree analysis could be the complementary methods.