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Rapid gene identification in sugar beet using deep sequencing of DNA from phenotypic pools selected from breeding panels

机译:使用从育种小组中选择的表型库中的DNA进行深度测序对甜菜进行快速基因鉴定

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摘要

BackgroundThe combination of bulk segregant analysis (BSA) and next generation sequencing (NGS), also known as mapping by sequencing (MBS), has been shown to significantly accelerate the identification of causal mutations for species with a reference genome sequence. The usual approach is to cross homozygous parents that differ for the monogenic trait to address, to perform deep sequencing of DNA from F2 plants pooled according to their phenotype, and subsequently to analyze the allele frequency distribution based on a marker table for the parents studied. The method has been successfully applied for EMS induced mutations as well as natural variation. Here, we show that pooling genetically diverse breeding lines according to a contrasting phenotype also allows high resolution mapping of the causal gene in a crop species. The test case was the monogenic locus causing red vs. green hypocotyl color in Beta vulgaris (R locus).
机译:背景技术大量分离物分析(BSA)和下一代测序(NGS)的组合,也称为测序定位(MBS),已显示出可显着加速具有参考基因组序列的物种因果突变的鉴定。通常的方法是将纯合的亲本杂交,以解决其单基因性状,对根据其表型汇集的F2植物进行DNA深度测序,然后基于所研究亲本的标记表分析等位基因频率分布。该方法已成功应用于EMS诱导的突变以及自然变异。在这里,我们显示根据不同的表型汇集遗传多样的育种系还可以对作物物种中的因果基因进行高分辨率定位。测试用例是导致Beta寻常型(R基因座)中的红色胚轴色与绿色下胚轴色的单基因座。

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