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

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, <i>qWGC6B.2</i> 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 <i>TaWGC6B.1</i> (<i>TraesCS6B02G386700</i>), 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 <i>Whaas68366_GG</i> 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 (<i>Triticum aestivum</i> L.).

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-01-14
DOI
https://doi.org/10.3390/ijms27020827
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
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article

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

Maomao Qin, C Liu, Zhensheng Lei, Jinna Hou et al.
International Journal of Molecular Sciences
Wheat and Barley Genetics and Pathology
article

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

Maomao Qin, C Liu, Zhensheng Lei, Jinna Hou, Wenxu Li, Zhengfu Zhou, Ziju Dai, Lei Zeng, Cong Wang, Linlin Jia
article en

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, <i>qWGC6B.2</i> 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 <i>TaWGC6B.1</i> (<i>TraesCS6B02G386700</i>), 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 <i>Whaas68366_GG</i> 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 (<i>Triticum aestivum</i> L.).

International Journal of Molecular SciencesVol. 27(2)
Henan Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 88%
Wheat and Barley Genetics and Pathology
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