Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection

• Published in: Journal of fungi (Basel) 2023-12, Vol.9 (12), p.1157
• Main Authors: Zhang, Jihai, Shi, Haoya, Yang, Yong, Zeng, Cheng, Jia, Zheyi, Ma, Tieli, Wu, Mengyang, Du, Juan, Huang, Ning, Pan, Guangtang, Li, Zhilong, Yuan, Guangsheng
• Format: Article
• Language: English
• Subjects: Association analysis; Bioassays; Corn; Disease; Disease resistance; Ear rot; Experiments; Fungal infections; Fusarium graminearum; Gene loci; Genetic analysis; Genome-wide association studies; genome-wide association study; Genomes; Germplasm; Gibberella ear rot; Inbreeding; kernel bioassay; Laboratories; maize; Pathogens; Perfect state; Phenotypes; Phenotypic variations; Seeds; Single-nucleotide polymorphism; Variance analysis
• ISSN: 2309-608X; 2309-608X
• DOI: 10.3390/jof9121157

Gibberella ear rot (GER) caused by (teleomorph ) is one of the most destructive diseases in maize, which severely reduces yield and contaminates several potential mycotoxins in the grain. However, few efforts had been devoted to dissecting the genetic basis of maize GER resistance. In the present study, a genome-wide association study (GWAS) was conducted in a maize association panel consisting of 303 diverse inbred lines. The phenotypes of GER severity were evaluated using kernel bioassay across multiple time points in the laboratory. Then, three models, including the fixed and random model circulating probability unification model (FarmCPU), general linear model (GLM), and mixed linear model (MLM), were conducted simultaneously in GWAS to identify single-nucleotide polymorphisms (SNPs) significantly associated with GER resistance. A total of four individual significant association SNPs with the phenotypic variation explained (PVE) ranging from 3.51 to 6.42% were obtained. Interestingly, the peak SNP (PUT-163a-71443302-3341) with the greatest PVE value, was co-localized in all models. Subsequently, 12 putative genes were captured from the peak SNP, and several of these genes were directly or indirectly involved in disease resistance. Overall, these findings contribute to understanding the complex plant-pathogen interactions in maize GER resistance. The regions and genes identified herein provide a list of candidate targets for further investigation, in addition to the kernel bioassay that can be used for evaluating and selecting elite germplasm resources with GER resistance in maize.