Genome-Wide Association Analysis and Candidate Gene Prediction of Wheat Wet Gluten Content

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Authors: C Liu, Lei Zeng, Cong Wang, Linlin Jia, Wenxu Li, Ziju Dai, Maomao Qin, Jinna Hou, Zhensheng Lei, Zhengfu Zhou
Cited by: 0
References: 35

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