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首页> 外文期刊>Journal of Microbiology, Biotechnology and Food Sciences >STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS
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STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS

机译：利用SSR标记研究小麦品种的遗传变异

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摘要

For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in the genome A, B, D and R were chosen for analysis. Eighty-four alleles were detected with an average of 3.36 alleles per locus were detected. For each microsatellite statistical values were calculated diversity index (DI), probabilities of identity (PI) and polymorphic information content (PIC) were calculated and averages statistical values are: DI 0.55, PI 0.27 and 0.5 PIC. Overall dendrogram based on the UPGMA method (Jaccards similarity coefficient) significantly distinguished two groups of genotypes and these groups were divided into sub-clusters. A set of 5 SSR markers (Xwms0752, Xbarc128, Xrems1237, Xwms0861 and Xbrac170) which have the calculated PIC value higher than 0.68 that are sufficient for the identification of the analyzed genotypes was described.
机译：为了检测遗传变异，选择了十个冬季小黑麦基因型（×Triticosecale Wittmack，2n = 6x = 42; BBAARR）：9个品种和一个育种品系，即具有良好面包制作质量的KM 4-09，其染色体易位为1R.1D。 5 + 10-2。选择了位于基因组A，B，D和R中的25个微卫星标记进行分析。检测到84个等位基因，每个基因座平均检测到3.36个等位基因。计算每个微卫星的统计值的多样性指数（DI），计算同一性的概率（PI）和多态信息含量（PIC），平均统计值为：DI 0.55，PI 0.27和0.5 PIC。基于UPGMA方法的总体树状图（Jaccards相似系数）显着区分了两组基因型，这些组被分为亚群。描述了一组5个SSR标记（Xwms0752，Xbarc128，Xrems1237，Xwms0861和Xbrac170），其PIC值大于0.68，足以识别所分析的基因型。

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