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The Identification of Two Head Smut Resistance-Related QTL in Maize by the Joint Approach of Linkage Mapping and Association Analysis

文献类型： 外文期刊

作者： Li, Yong-xiang 1 ; Wu, Xun 1 ; Jaqueth, Jennifer 2 ; Zhang, Dengfeng 1 ; Cui, Donghui 3 ; Li, Chunhui 1 ; Hu, Guanghui 4 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China

2.DuPont Pioneer, Wilmington, DE 19803 USA

3.DuPont Pioneer, Beijing 101309, Peoples R China

4.Heilongjiang Acad Agr Sci, Maize Res Inst, Harbin 150086, Peoples R China

5.Liaoning Acad Agr Sci, Inst Plant Protect, Shenyang 110161, Peoples R China

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2015 年 10 卷 12 期

页码：

收录情况： SCI

摘要： Head smut, caused by the fungus Sphacelotheca reiliana (Kuhn) Clint, is a devastating threat to maize production. In this study, QTL mapping of head smut resistance was performed using a recombinant inbred line (RIL) population from a cross between a resistant line "QI319" and a susceptible line "Huangzaosi" (HZS) with a genetic map constructed from genotyping-by-sequencing (GBS) data and composed of 1638 bin markers. Two head smut resistance QTL were identified, located on Chromosome 2 (q2.09HR) and Chromosome 5 (q5.03HR), q2.09HR is co-localized with a previously reported QTL for head smut resistance, and the effect of q5.03HR has been validated in backcross populations. It was also observed that pyramiding the resistant alleles of both QTL enhanced the level of resistance to head smut. A genome-wide association study (GWAS) using 277 diverse inbred lines was processed to validate the mapped QTL and to identify additional head smut resistance associations. A total of 58 associated SNPs were detected, which were distributed in 31 independent regions. SNPs with significant association to head smut resistance were detected within the q2.09HR and q5.03HR regions, confirming the linkage mapping results. It was also observed that both additive and epistastic effects determine the genetic architecture of head smut resistance in maize. As shown in this study, the combined strategy of linkage mapping and association analysis is a powerful approach in QTL dissection for disease resistance in maize.

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