PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection
Zhang, J.; Shi, H.; Yang, Y.; Zeng, C.; Jia, Z.; Ma, T.; Wu, M.; Du, J.; Huang, N.; Pan, G.; Li, Z.; Yuan, G. Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection. J. Fungi2023, 9, 1157.
Zhang, J.; Shi, H.; Yang, Y.; Zeng, C.; Jia, Z.; Ma, T.; Wu, M.; Du, J.; Huang, N.; Pan, G.; Li, Z.; Yuan, G. Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection. J. Fungi 2023, 9, 1157.
Zhang, J.; Shi, H.; Yang, Y.; Zeng, C.; Jia, Z.; Ma, T.; Wu, M.; Du, J.; Huang, N.; Pan, G.; Li, Z.; Yuan, G. Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection. J. Fungi2023, 9, 1157.
Zhang, J.; Shi, H.; Yang, Y.; Zeng, C.; Jia, Z.; Ma, T.; Wu, M.; Du, J.; Huang, N.; Pan, G.; Li, Z.; Yuan, G. Kernel Bioassay Evaluation of Maize Ear Rot and Genome-Wide Association Analysis for Identifying Genetic Loci Associated with Resistance to Fusarium graminearum Infection. J. Fungi 2023, 9, 1157.
Abstract
Gibberella ear rot (GER) caused by Fusarium graminearum (teleomorph Gibberella zeae) is one of the most destructive diseases in maize that severely reduces grain yield and contaminates several potential mycotoxins. However, few efforts had been devoted to dissect 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 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 that several of these genes were directly or indirectly involved in disease resistance. Overall, these findings contribute to understand 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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
