Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize

• Published in: Frontiers in plant science Vol. 13; p. 872292
• Main Authors: Qu, Zhibo, Wu, Ying, Hu, Die, Li, Ting, Liang, Hangyu, Ye, Fan, Xue, Jiquan, Xu, Shutu
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 24.05.2022
• Subjects: differential expression; expression profile; genome-wide association study; kernel-related traits; maize; Plant Science; differential expression; kernel-related traits; maize; expression profile; genome-wide association study
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2022.872292

Maize grain size is the main factor determining grain yield. Dissecting the genetic basis of maize grain size may help reveal the regulatory mechanism of maize seed development and yield formation. In this study, two associated populations were used for genome-wide association analysis of kernel length, kernel width, kernel thickness, and hundred-kernel weight from multiple locations in AM122 and AM180, respectively. Then, genome-wide association mapping was performed based on the maize 6H90K SNP chip. A total of 139 loci were identified as associated with the four traits with < 1 × 10 using two models (FarmCPU and MLM). The transcriptome data showed that 15 of them were expressed differentially in two maize-inbred lines KB182 (small kernel) and KB020 (big kernel) during kernel development. These candidate genes were enriched in regulating peroxidase activity, oxidoreductase, and leaf senescence. The molecular function was major in binding and catalytic activity. This study provided important reference information for exploring maize kernel development mechanisms and applying molecular markers in high-yield breeding.