Genetic architecture of maize yield traits dissected by QTL mapping and GWAS in maize

Abstract

The study of yield traits can reveal the genetic architecture of grain yield for improving maize production. In this study, an association panel comprising 362 inbred lines and a recombinant inbred line population derived from X178 × 9782 were used to identify candidate genes for nine yield traits. High-priority overlap (HPO) genes, which are genes prioritized in a genome-wide association study (GWAS), were investigated using coexpression networks. The GWAS identified 51 environmentally stable SNPs in two environments and 36 pleiotropic SNPs, including three SNPs with both attributes. Seven hotspots containing 41 trait-associated SNPs were identified on six chromosomes by permutation. Pyramiding of superior alleles showed a highly positive effect on all traits, and the phenotypic values of ear diameter and ear weight consistently corresponded with the number of superior alleles in tropical and temperate germplasm. A total of 61 HPO genes were detected after trait-associated SNPs were combined with the coexpression networks. Linkage mapping identified 16 environmentally stable and 16 pleiotropic QTL. Seven SNPs that were located in QTL intervals were assigned as consensus SNPs for the yield traits. Among the candidate genes predicted by our study, some genes were confirmed to function in seed development. The gene Zm00001d016656 encoding a serine/threonine protein kinase was associated with five different traits across multiple environments. Some genes were uniquely expressed in specific tissues and at certain stages of seed development. These findings will provide genetic information and resources for molecular breeding of maize grain yield.

Keywords

• Maize
• Yield traits
• Genome-wide association study (GWAS)
• Quantitative trait locus (QTL)
• Coexpression networks