Genome-Wide Association Analysis and Candidate Gene Prediction of Wheat Wet Gluten Content
Abstract
The wet gluten content (WGC) of wheat is a key indicator of wheat-processing quality, and its genetic basis is extremely critical in breeding. This study evaluated the WGC of 207 wheat accessions under three growing seasons from a natural population. Nine quantitative trait loci (QTLs) explained 7.61–15.18% of phenotypic variation in a genome-wide association study (GWAS) using a 660K SNP array. Among them, qWGC6B.2 on chromosome 6BL was consistently detected across multiple environments, accounting for 10.08–12.27% of variation. Incorporating grain transcriptome data led to the identification of TaWGC6B.1 (TraesCS6B02G386700), which is highly expressed in developing endosperm and strongly correlated with WGC. A competitive allele specific PCR (KASP) marker development and validation indicated that the Whaas68366_GG allele significantly enhanced gene expression and WGC. This study identified key genes and molecular markers, providing theoretical and technical support for WGC genetic improvement in wheat (Triticum aestivum L.).
Fields of Study & Subjects
Wheat and Barley Genetics and Pathology
Genetic Mapping and Diversity in Plants and Animals
Genetic and phenotypic traits in livestock
Publication details
- Journal / source
- International Journal of Molecular Sciences
- Volume
- 27
- Issue
- 2
- Pages
- 827–827
- Publication date
- 14 January 2026
- Language
- EN