Cui Lina, Sun Mingfei, Zhang Lin, Zhu Hongjie, Kong Qianqian, Dong Ling, Liu Xianjun, Zeng Xing, Sun Yanjie, Zhang Haiyan, Duan Luyao, Li Wenyi, Zou Chengjia, Zhang Zhenyu, Cai WeiLi, Ming Yulin, Lübberstedt Thomas, Liu Hongjun, Yang Xuerong, Li Xiao
Institute of Plant Protection, Sichuan Academy of Agricultural Sciences, Chengdu, 610066, China.
Key Laboratory of Integrated Pest Management on Crops in Southwest China, Ministry of Agriculture, Chengdu, 610066, China.
Theor Appl Genet. 2024 Jul 13;137(8):183. doi: 10.1007/s00122-024-04694-x.
The 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. The 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.
利用两个完全组装的亲本基因组探索和剖析一组抗灰斑病的QTL和候选基因，可能有助于加快玉米抗性育种。由玉米尾孢菌和玉米小尾孢菌引起的玉米真菌病害灰斑病（GLS），在中国、南部非洲和美国都是一个重大问题。对GLS的抗性由多个具有加性效应的基因控制，并受基因型和环境的影响。降低生产成本最有效的方法是培育抗性杂交种。在本研究中，我们利用IBM Syn 10双单倍体（IBM Syn10 DH）群体在多个地点鉴定与抗灰斑病（GLS）相关的数量性状位点（QTL）。对七个不同环境的分析共发现58个QTL，其中49个形成12个离散簇，分布在第1、2、3、4、8和10号染色体上。通过将这些发现与已发表的研究进行比较，我们在11个聚类区间内鉴定出共定位的QTL或GWAS位点。通过将转录组数据与亲本个体之间的基因组结构变异相结合，我们总共鉴定出110个基因，这些基因在基因表达和结构改变方面都表现出强烈差异。进一步分析发现19个潜在的候选基因，它们编码保守的抗性基因结构域，包括假定的富含亮氨酸重复受体、NLP转录因子、岩藻糖基转移酶和假定的木葡聚糖半乳糖基转移酶。我们的结果为玉米GLS标记抗性选择育种提供了宝贵的资源和连锁位点。
