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利用 Yr7 抗黄锈病基因构建小麦基因定位框架。

A framework for gene mapping in wheat demonstrated using the Yr7 yellow rust resistance gene.

机构信息

IBM Research, Warrington, England, United Kingdom.

Earlham Institute, Norwich, England, United Kingdom.

出版信息

PLoS One. 2020 Apr 15;15(4):e0231157. doi: 10.1371/journal.pone.0231157. eCollection 2020.

Abstract

We used three approaches to map the yellow rust resistance gene Yr7 and identify associated SNPs in wheat. First, we used a traditional QTL mapping approach using a double haploid (DH) population and mapped Yr7 to a low-recombination region of chromosome 2B. To fine map the QTL, we then used an association mapping panel. Both populations were SNP array genotyped allowing alignment of QTL and genome-wide association scans based on common segregating SNPs. Analysis of the association panel spanning the QTL interval, narrowed the interval down to a single haplotype block. Finally, we used mapping-by-sequencing of resistant and susceptible DH bulks to identify a candidate gene in the interval showing high homology to a previously suggested Yr7 candidate and to populate the Yr7 interval with a higher density of polymorphisms. We highlight the power of combining mapping-by-sequencing, delivering a complete list of gene-based segregating polymorphisms in the interval with the high recombination, low LD precision of the association mapping panel. Our mapping-by-sequencing methodology is applicable to any trait and our results validate the approach in wheat, where with a near complete reference genome sequence, we are able to define a small interval containing the causative gene.

摘要

我们使用三种方法来定位黄矮病抗性基因 Yr7 并鉴定其在小麦中的相关 SNP。首先,我们使用传统的 QTL 作图方法,利用双单倍体(DH)群体将 Yr7 定位到染色体 2B 的低重组区域。为了精细定位 QTL,我们使用了关联作图面板。两个群体都进行了 SNP 芯片基因型分析,允许根据共同分离 SNP 进行 QTL 和全基因组关联扫描的对齐。跨越 QTL 区间的关联面板分析将区间缩小到单个单倍型块。最后,我们使用抗感 DH 群体的测序作图来鉴定区间内的候选基因,该基因与先前建议的 Yr7 候选基因高度同源,并在 Yr7 区间填充更高密度的多态性。我们强调了将测序作图与关联作图相结合的强大功能,在高重组、低 LD 精度的关联作图面板中提供了区间内基于基因的分离多态性的完整列表。我们的测序作图方法适用于任何性状,并且我们的结果在小麦中验证了该方法的有效性,在小麦中,由于有接近完整的参考基因组序列,我们能够定义一个包含致病基因的小区间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/7159211/2d4f9505a4f5/pone.0231157.g004.jpg

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