首页> 外文期刊>BMC Genomics >Application of whole genome re-sequencing data in the development of diagnostic DNA markers tightly linked to a disease-resistance locus for marker-assisted selection in lupin ( Lupinus angustifolius )
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Application of whole genome re-sequencing data in the development of diagnostic DNA markers tightly linked to a disease-resistance locus for marker-assisted selection in lupin ( Lupinus angustifolius )

机译:全基因组重测序数据在诊断DNA标记的开发中的应用,该DNA标记与抗病基因座紧密相关,用于羽扇豆(Lupinus angustifolius)的标记辅助选择

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Molecular marker-assisted breeding provides an efficient tool to develop improved crop varieties. A major challenge for the broad application of markers in marker-assisted selection is that the marker phenotypes must match plant phenotypes in a wide range of breeding germplasm. In this study, we used the legume crop species Lupinus angustifolius (lupin) to demonstrate the utility of whole genome sequencing and re-sequencing on the development of diagnostic markers for molecular plant breeding. Nine lupin cultivars released in Australia from 1973 to 2007 were subjected to whole genome re-sequencing. The re-sequencing data together with the reference genome sequence data were used in marker development, which revealed 180,596 to 795,735 SNP markers from pairwise comparisons among the cultivars. A total of 207,887 markers were anchored on the lupin genetic linkage map. Marker mining obtained an average of 387 SNP markers and 87 InDel markers for each of the 24 genome sequence assembly scaffolds bearing markers linked to 11 genes of agronomic interest. Using the R gene PhtjR conferring resistance to phomopsis stem blight disease as a test case, we discovered 17 candidate diagnostic markers by genotyping and selecting markers on a genetic linkage map. A further 243 candidate diagnostic markers were discovered by marker mining on a scaffold bearing non-diagnostic markers linked to the PhtjR gene. Nine out from the ten tested candidate diagnostic markers were confirmed as truly diagnostic on a broad range of commercial cultivars. Markers developed using these strategies meet the requirements for broad application in molecular plant breeding. We demonstrated that low-cost genome sequencing and re-sequencing data were sufficient and very effective in the development of diagnostic markers for marker-assisted selection. The strategies used in this study may be applied to any trait or plant species. Whole genome sequencing and re-sequencing provides a powerful tool to overcome current limitations in molecular plant breeding, which will enable plant breeders to precisely pyramid favourable genes to develop super crop varieties to meet future food demands.
机译:分子标记辅助育种提供了开发改良作物品种的有效工具。在标记辅助选择中广泛应用标记的主要挑战是,标记表型必须与广泛育种种质中的植物表型匹配。在这项研究中,我们使用豆类作物物种羽扇豆(羽扇豆)来证明全基因组测序和重新测序在分子植物育种诊断标记开发中的实用性。 1973年至2007年在澳大利亚发布的9个羽扇豆品种进行了全基因组重测序。重测序数据与参考基因组序列数据一起用于标记物开发,该标记物通过品种间的成对比较揭示了180,596至795,735个SNP标记物。总共207,887个标记被锚定在羽扇豆遗传连锁图谱上。标记挖掘针对24个基因组序列装配支架中的每一个平均获得了387个SNP标记和87个InDel标记,这些支架具有与11个农业基因相关的标记。使用赋予对拟南芥枯萎病抗性的R基因PhtjR作为测试案例,我们通过基因分型和在遗传连锁图上选择标记来发现17个候选诊断标记。通过在带有与PhtjR基因链接的非诊断性标记的支架上进行标记挖掘,发现了另外243个候选诊断标记。从十个测试候选诊断标记中,有九个被确认为对多种商业品种的真正诊断。使用这些策略开发的标记符合在分子植物育种中广泛应用的要求。我们证明了低成本的基因组测序和重测序数据在开发用于标记辅助选择的诊断标记方面已足够并且非常有效。本研究中使用的策略可应用于任何性状或植物物种。全基因组测序和重新测序为克服分子植物育种中的当前限制提供了强大的工具,这将使植物育种者能够精确地金字塔化有利的基因,从而开发超级农作物品种以满足未来的粮食需求。

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