Comparative Genome‐Wide Association Studies of Metabolites and Grain‐Related Traits in Common Wheat
TL;DR
The identified metabolic markers and candidate genes provide valuable targets for molecular breeding programs aimed at improving wheat yield and quality and advance the understanding of the complex molecular mechanisms regulating grain metabolites and phenotypes in wheat.
Abstract
ABSTRACT The metabolome is highly diverse and the closest layer to phenotype; therefore, it is commonly regarded as a bridge between the genome and phenome in plants. Here, we performed large‐scale metabolome analysis using liquid chromatography–tandem mass spectrometry (LC–MS/MS) and 33 grain‐related traits in a diverse panel of natural accessions and a recombinant inbred line (RIL) population. We identified a new network of 2286 associations between 947 metabolites and 33 grain‐related traits. Systematic integration of metabolic genome‐wide association study (mGWAS) and metabolic quantitative trait locus (mQTL) analyses identified 33 566 significant single‐nucleotide polymorphisms (SNPs) and 3128 mQTL. Thirteen annotated metabolites co‐localized within a physical interval on 7A. Integration of metabolite‐based and phenotype‐based GWAS and QTL revealed an overlapped region for gibberellin A4 (GA4) content and grain roundness on 4A. Phenotyping of an ethyl methanesulfonate (EMS)‐induced mutant confirmed the role of TaSDR in regulating GA4 content and grain morphology. These findings provide novel insights into the metabolic pathways influencing key grain‐related traits and advance our understanding of the complex molecular mechanisms regulating grain metabolites and phenotypes in wheat. The identified metabolic markers and candidate genes provide valuable targets for molecular breeding programs aimed at improving wheat yield and quality.