Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population

文献类型： 外文期刊

第一作者： Cui, Lina

作者： Cui, Lina;Zhang, Haiyan;Duan, Luyao;Li, Wenyi;Zou, Chengjia;Zhang, Zhenyu;Cai, Weili;Li, Xiao;Cui, Lina;Zhang, Haiyan;Duan, Luyao;Li, Wenyi;Zou, Chengjia;Zhang, Zhenyu;Cai, Weili;Li, Xiao;Sun, Mingfei;Zhu, Hongjie;Liu, Hongjun;Yang, Xuerong;Zhang, Lin;Dong, Ling;Liu, Xianjun;Zeng, Xing;Kong, Qianqian;Sun, Yanjie;Ming, Yulin;Lubberstedt, Thomas

作者机构：

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：4.4； 五年影响因子：5.0 ）

ISSN： 0040-5752

年卷期： 2024 年 137 卷 8 期

页码：

收录情况： SCI

摘要： Key messageThe exploration and dissection of a set of QTLs and candidate genes for gray leaf spot disease resistance using two fully assembled parental genomes may help expedite maize resistance breeding.AbstractThe fungal disease of maize known as gray leaf spot (GLS), caused by Cercospora zeae-maydis and Cercospora zeina, is a significant concern in China, Southern Africa, and the USA. Resistance to GLS is governed by multiple genes with an additive effect and is influenced by both genotype and environment. The most effective way to reduce the cost of production is to develop resistant hybrids. In this study, we utilized the IBM Syn 10 Doubled Haploid (IBM Syn10 DH) population to identify quantitative trait loci (QTLs) associated with resistance to gray leaf spot (GLS) in multiple locations. Analysis of seven distinct environments revealed a total of 58 QTLs, 49 of which formed 12 discrete clusters distributed across chromosomes 1, 2, 3, 4, 8 and 10. By comparing these findings with published research, we identified colocalized QTLs or GWAS loci within eleven clustering intervals. By integrating transcriptome data with genomic structural variations between parental individuals, we identified a total of 110 genes that exhibit both robust disparities in gene expression and structural alterations. Further analysis revealed 19 potential candidate genes encoding conserved resistance gene domains, including putative leucine-rich repeat receptors, NLP transcription factors, fucosyltransferases, and putative xyloglucan galactosyltransferases. Our results provide a valuable resource and linked loci for GLS marker resistance selection breeding in maize.

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