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DETECTION OF GENETIC DIVERSITY OF TRITICALE BY MICROSATELLITE MARKERS

机译:微卫星标记检测小麦的遗传多样性

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The aim of our work was to detect genetic variability in the set of 59 winter and spring triticale (x Triticosecale Witt.) varieties using 5 wheat SSR markers. Totally, 35 alleles with an average number of 7 alleles per locus were detected. The highest number of alleles showed out Xbarc 004 (9). Based on the number and frequencies of alleles, the diversity index (DI), the probability of identity (PI) and the polymorphic information content (PIC) of SSR markers were calculated. The polymorphic information content (PIC) ranged from 0.264 to 0.920 with an average of 0.654, which is generally considered sufficient for this purpose. For the assessment of genetic diversity the dendrogram, based on the hierarchical cluster analysis using UPGMA algorithm was prepared. Fifty nine triticale cultivars were grouped into three major clusters. The cultivar Terelland 22 (USA) separated as unique one, second subcluster contained 3 cultivars and third one 55 cultivars. It was not possible to differentiate 15 genotypes between each other. For better differentiation it is necessary to use more polymorphic microsatellite markers. Results showed the utility of microsatellite markers for estimation of genetic diversity of triticale genotypes leading to genotype identification.
机译:我们的工作目的是使用5个小麦SSR标记来检测59个冬小麦和春小麦(x Triticosecale Witt。)品种中的遗传变异。总共检测到35个等位基因,每个基因座平均7个等位基因。等位基因数量最多的是Xbarc 004(9)。基于等位基因的数目和频率,计算了SSR标记的多样性指数(DI),同一性概率(PI)和多态信息含量(PIC)。多态信息内容(PIC)的范围从0.264到0.920,平均为0.654,通常被认为足以满足此目的。为了评估遗传多样性,在使用UPPGA算法进行层次聚类分析的基础上,编制了树状图。将59个小黑麦品种分为三个主要类群。 Terelland 22(USA)品种分开作为唯一的一个品种,第二个亚类包含3个品种,第三个一个55个品种。彼此之间无法区分15个基因型。为了更好的区分,有必要使用更多的多态微卫星标记。结果表明,微卫星标记可用于估算黑小麦基因型的遗传多样性,从而鉴定基因型。

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