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首页> 外文期刊>Czech Journal of Genetics and Plant Breeding >Detection of QTLs for important agronomical traits in hexaploid wheat using association analysis
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Detection of QTLs for important agronomical traits in hexaploid wheat using association analysis

机译:应用关联分析检测六倍体小麦重要农艺性状的QTL

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One of the main wheat breeder’s goals is determining specific genomic regions which control important agronomical traits. Association analysis is a new strategy with high resolution in plant molecular breeding that could be used to improve the efficiency of marker assisted selection (MAS) for finding important QTLs (quantitative trait loci) or genes. A set of 96 diverse wheat genotypes was phenotypically measured during three growing seasons (2006/07, 2007/08, 2008/09). Microsatellite markers located near important QTLs were carefully chosen in accordance with existing literature data to validate marker trait associations (MTA). Genomic DNA was extracted using the CTAB method and PCR products were separated by capillary electrophoresis. The population structure was assigned based on molecular data in Structure v. 2.0 software, while association analysis was done by the Tassel program using the Q matrix. Nine significant associations were stable in all years investigated and eight MTA were detected to be significant in two growing seasons. Microsatellite markers which showed significant associations and stability in different seasons can be useful and suitable for marker assisted selection (MAS) in Serbian wheat breeding programs.
机译:小麦育种者的主要目标之一是确定控制重要农艺性状的特定基因组区域。关联分析是植物分子育种中一种高分辨率的新策略,可用于提高标记辅助选择(MAS)的效率,以发现重要的QTL(定量性状基因座)或基因。在三个生长季节(2006 / 07、2007 / 08、2008 / 09)中,对96种不同的小麦基因型进行了表型分析。根据现有文献数据,仔细选择了位于重要QTL附近的微卫星标记,以验证标记性状关联(MTA)。使用CTAB方法提取基因组DNA,并通过毛细管电泳分离PCR产物。根据Structure v。2.0软件中的分子数据分配总体结构,而Tassel程序使用Q矩阵进行关联分析。在所有调查的年份中,有9个显着的关联稳定,并且在两个生长季节中检测到8个MTA显着。在不同季节显示出显着关联和稳定性的微卫星标记可能有用,并适合塞尔维亚小麦育种计划中的标记辅助选择(MAS)。

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