Ren Jiaojiao, Li Zhimin, Wu Penghao, Zhang Ao, Liu Yubo, Hu Guanghui, Cao Shiliang, Qu Jingtao, Dhliwayo Thanda, Zheng Hongjian, Olsen Michael, Prasanna Boddupalli M, San Vicente Felix, Zhang Xuecai
College of Agronomy, Xinjiang Agricultural University, Urumqi, China.
International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Front Plant Sci. 2021 Jul 2;12:692205. doi: 10.3389/fpls.2021.692205. eCollection 2021.
Common rust is one of the major foliar diseases in maize, leading to significant grain yield losses and poor grain quality. To dissect the genetic architecture of common rust resistance, a genome-wide association study (GWAS) panel and a bi-parental doubled haploid (DH) population, DH1, were used to perform GWAS and linkage mapping analyses. The GWAS results revealed six single-nucleotide polymorphisms (SNPs) significantly associated with quantitative resistance of common rust at a very stringent threshold of value 3.70 × 10 at bins 1.05, 1.10, 3.04, 3.05, 4.08, and 10.04. Linkage mapping identified five quantitative trait loci (QTL) at bins 1.03, 2.06, 4.08, 7.03, and 9.00. The phenotypic variation explained (PVE) value of each QTL ranged from 5.40 to 12.45%, accounting for the total PVE value of 40.67%. Joint GWAS and linkage mapping analyses identified a stable genomic region located at bin 4.08. Five significant SNPs were only identified by GWAS, and four QTL were only detected by linkage mapping. The significantly associated SNP of S10_95231291 detected in the GWAS analysis was first reported. The linkage mapping analysis detected two new QTL on chromosomes 7 and 10. The major QTL on chromosome 7 in the region between 144,567,253 and 149,717,562 bp had the largest PVE value of 12.45%. Four candidate genes of , , , and were identified, which played important roles in the response of stress resilience and the regulation of plant growth and development. Genomic prediction (GP) accuracies observed in the GWAS panel and DH1 population were 0.61 and 0.51, respectively. This study provided new insight into the genetic architecture of quantitative resistance of common rust. In tropical maize, common rust could be improved by pyramiding the new sources of quantitative resistance through marker-assisted selection (MAS) or genomic selection (GS), rather than the implementation of MAS for the single dominant race-specific resistance gene.
普通锈病是玉米主要的叶部病害之一,会导致显著的产量损失和籽粒品质下降。为了解析普通锈病抗性的遗传结构,利用一个全基因组关联研究(GWAS)群体和一个双单倍体(DH)群体DH1进行GWAS和连锁图谱分析。GWAS结果在1.05、1.10、3.04、3.05、4.08和10.04区间,以3.70×10的非常严格的阈值,揭示了6个与普通锈病数量抗性显著相关的单核苷酸多态性(SNP)。连锁图谱在1.03、2.06、4.08、7.03和9.00区间鉴定出5个数量性状位点(QTL)。每个QTL的表型变异解释(PVE)值范围为5.40%至12.45%,占总PVE值的40.67%。联合GWAS和连锁图谱分析鉴定出一个位于4.08区间的稳定基因组区域。5个显著的SNP仅通过GWAS鉴定,4个QTL仅通过连锁图谱检测到。在GWAS分析中检测到的S10_95231291显著相关SNP首次被报道。连锁图谱分析在染色体7和10上检测到两个新的QTL。染色体7上位于144,567,253和149,717,562 bp之间区域的主要QTL具有最大的PVE值,为12.45%。鉴定出4个候选基因, 、 、 和 ,它们在应激恢复响应以及植物生长发育调控中发挥重要作用。在GWAS群体和DH1群体中观察到的基因组预测(GP)准确性分别为0.61和0.51。本研究为普通锈病数量抗性的遗传结构提供了新的见解。在热带玉米中,可通过标记辅助选择(MAS)或基因组选择(GS)聚合新的数量抗性来源来改良普通锈病,而不是针对单一显性小种特异性抗性基因实施MAS。