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首页> 外文期刊>Theoretical and Applied Genetics >Genetic analysis of resistance to yellow rust in hexaploid wheat using a mixture model for multiple crosses
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Genetic analysis of resistance to yellow rust in hexaploid wheat using a mixture model for multiple crosses

机译:混合杂交模型在六倍体小麦抗黄锈性遗传分析中的应用。

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摘要

DNA-based molecular markers have been used in numerous studies for tagging specific genes in wheat for subsequent use in marker-assisted selection. Usually in plant breeding, procedures for mapping genes are based on analysis of a single segregating population. However, breeding programmes routinely evaluate large numbers of progeny derived from multiple-related crosses with some parental lines shared. In most such related crosses, the number of progeny is quite small. Thus, statistical techniques for detecting quantitative trait loci (QTLs) using data from conventional multi-cross breeding programmes are interesting. The objective of this study is to present a mixture model for QTL mapping in crosses of multiple inbred varieties with non-normal phenotype distributions and to use this model to map QTLs for yellow rust resistance in elite wheat breeding material. Three doubled haploid populations consisting of 41, 42 and 55 lines, respectively, originating from four parental varieties were studied. Multi-cross QTL analysis with three specific pathogen isolates of Puccinia striiformis f. sp. tritici and a mixture of the isolates revealed QTLs for resistance at four different genomic locations. These QTLs were found on chromosome 2AL, 2AS, 2BL and 6BL and explained between 21 and 41% of the phenotypic variation. Two of these QTLs, one on the long arm of chromosome 2A and one on the short arm of chromosome 2A were identical to the known yellow rust resistance genes Yr32 and Yr17, respectively, whereas the QTLs located on the long arms of chromosomes 2B and 6B may reflect types of resistance to yellow rust, which have not previously been mapped.
机译:基于DNA的分子标记已在众多研究中用于标记小麦中的特定基因,随后用于标记辅助选择。通常在植物育种中,用于基因定位的程序是基于对单个分离种群的分析。但是,育种程序通常会评估来自多个相关杂交并共享一些亲本的杂交后代。在大多数此类相关杂交中,后代的数量非常少。因此,使用来自常规多杂交育种程序的数据来检测数量性状基因座(QTL)的统计技术很有趣。这项研究的目的是提出一个混合模型,用于在多个具有非正常表型分布的近交品种的杂交中进行QTL定位,并使用该模型对优质小麦育种材料的抗黄锈性QTL进行定位。研究了分别来自四个亲本品种的三个双倍单倍体种群,分别由41、42和55个品系组成。多条交叉交叉QTL分析与三种特定的病原体分离条锈菌f。 sp。小麦和分离株的混合物揭示了在四个不同基因组位置的抗性QTL。这些QTL位于2AL,2AS,2BL和6BL染色体上,解释了21%至41%的表型变异。其中两个QTL,分别位于2A染色体的长臂上和一个位于2A染色体的短臂上,分别与已知的抗黄锈基因Yr32和Yr17相同,而QTL位于2B和6B染色体的长臂上。可能反映了以前未作图的抗黄锈的类型。

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  • 来源
    《Theoretical and Applied Genetics》 |2006年第4期|581-591|共11页
  • 作者单位

    Sejet Plantbreeding;

    Department of Natural Sciences The Royal Veterinary- and Agricultural University;

    Department of Natural Sciences The Royal Veterinary- and Agricultural University;

    Department of Agricultural Sciences The Royal Veterinary- and Agricultural University;

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