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首页> 外文期刊>Potravinarstvo >?TúDIUM GENETICKEJ DIVERZITY P?ENICE LETNEJ (TRITICUM AESTIVUM L.) POMOCOU MIKROSATELITNYCH MARKEROVSTUDY OF WHEAT (TRITICUM AESTIVUM L.) GENETIC DIVERSITY USING MICROSATELLITE MARKERS.
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?TúDIUM GENETICKEJ DIVERZITY P?ENICE LETNEJ (TRITICUM AESTIVUM L.) POMOCOU MIKROSATELITNYCH MARKEROVSTUDY OF WHEAT (TRITICUM AESTIVUM L.) GENETIC DIVERSITY USING MICROSATELLITE MARKERS.

机译:利用微卫星标记对小麦遗传多样性进行的夏季小麦多样性的一般多样性。

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摘要

The aim of this study was to detect genetic diversity within a set of 30 wheat cultivars (Triticum aestivum L.) and another set of 30 barley genotypes (Hordeum vulgare L.) using microsatellite markers and also to establish efficiency of chosen SSR markers for the differentiation. Seventeen microsatellite markers based on PCR-reactions were used for detection of genetic diversity of the 30 wheat cultivars. These seventeen primer pairs amplified altogether 94 different polymorphic alleles with an average number of 5.5 alleles per locus. The number of alleles ranged from 3 (Xgwm95) to 9 (Xgwm174). All the seventeen microsatellite markers were polymorphic and produced reproducible data. The diversity index (DI), polymorphic information content (PIC) and probability of identity (PI) of the tested SSR markers were calculated. The diversity index of the tested SSR markers ranged from 0.347 (Xgwm495) to 0.824 (Xgwm540) with an average of 0.636. The polymorphic information content ranged from 0.332 (Xgwm495) to 0.816 (Xgwm540) with an average of 0.618. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm for the detection of genetic diversity was prepared. The cultivars were grouped into two main clusters. It was not possible to distinguish cultivars Rába and Samanta from each other. Same was the case for another set of cultivars Brea and Niagara which could not be distinguished from each other.
机译:本研究的目的是使用微卫星标记物检测一组30个小麦品种(Triticum aestivum L.)和另一组30种大麦基因型(Hordeum vulgare L.)的遗传多样性,并确定所选SSR标记的效率差异化。基于PCR反应的17个微卫星标记用于检测30个小麦品种的遗传多样性。这十七对引物共扩增了94个不同的多态性等位基因,每个基因座平均有5.5个等位基因。等位基因的数量从3(Xgwm95)到9(Xgwm174)不等。所有的十七种微卫星标记都是多态的,并产生了可重复的数据。计算了所测试的SSR标记的多样性指数(DI),多态信息含量(PIC)和同一性概率(PI)。测试的SSR标记的多样性指数范围从0.347(Xgwm495)到0.824(Xgwm540),平均为0.636。多态信息含量的范围为0.332(Xgwm495)至0.816(Xgwm540),平均值为0.618。基于UPGMA算法的基于层次聚类分析的树状图,用于检测遗传多样性。品种分为两个主要类别。不可能将品种Rába和Samanta区分开。另一类无法区分的品种Brea和Niagara也是如此。

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