首页> 外文期刊>The Indian journal of genetics & plant breeding >Allele mining for resistance gene analogs (RGAs) in crop plants: A special emphasis on blast resistance in finger millet (Eleusine coracana L.)
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Allele mining for resistance gene analogs (RGAs) in crop plants: A special emphasis on blast resistance in finger millet (Eleusine coracana L.)

机译:作物植物抗性基因类似物(RGA)的等位基因挖掘:特别强调手指粟(Eleusine coracana L.)的抗稻瘟病性

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Finger millet a nutritionally rich underutilized crop requires more attention of research community. One of the major limitations of finger millet for wider agronomic acceptability is because of its susceptibility to blast fungus Magnaporthe grisea, which is also the causative agent of blast in rice. A large amount of sequence data available in the public domain has facilitated identification and isolation of novel genes for blast resistance and other agronomically important traits. Availability of such large genomic data has made allele mining a viable approach for detecting novel alleles for blast resistance in finger millet. However, very scarce genomic information is available in finger millet, being the major hurdle for such approaches. In the present review, we have summarized different strategic approaches suitable for allele mining of resistance gene analogs (RGAs) in finger millet by utilizing the large sequence data available for rice through comparative genomics. This paves the way for transfer of blast alleles into high yielding, blast susceptible and locally well adapted germplasm through molecular breeding and genetic engineering approaches.
机译:指粟是营养丰富的未充分利用的作物,需要研究界的更多关注。手指小米对更广泛的农艺学可接受性的主要限制之一是因为它易受稻瘟病真菌稻瘟病的影响,稻瘟病也是稻瘟病的病原体。在公共领域中可获得的大量序列数据促进了鉴定和分离抗稻瘟病和其他农学重要性状的新基因。如此庞大的基因组数据的可用性已使等位基因挖掘成为一种可行的方法,该方法可用于检测新的等位基因,以检测小米的抗瘟性。然而,在手指谷子中可获得非常稀少的基因组信息,这是此类方法的主要障碍。在本综述中,我们通过比较基因组学,利用水稻可获得的大序列数据,总结了适用于手指小米中抗性基因类似物(RGA)等位基因挖掘的不同策略方法。这为通过分子育种和基因工程方法将原等位基因转移到高产,易受原爆和局部适应的种质铺平了道路。

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