Genome-Wide Association Mapping of Processing Quality Traits in Common Wheat (Triticum aestivum L.)

Hui Jin; Yuanyuan Tian; Yan Zhang; Rui Zhang; Haibin Zhao; Xue Yang; Xizhang Song; Yordan Dimitrov; Yu-E Wu; Qiang Gao; Jindong Liu; Jumei Zhang; Zhonghu He

doi:10.3390/genes14091816

Genome-Wide Association Mapping of Processing Quality Traits in Common Wheat (Triticum aestivum L.)

Genes (Basel). 2023 Sep 18;14(9):1816. doi: 10.3390/genes14091816.

Authors

Hui Jin¹, Yuanyuan Tian², Yan Zhang², Rui Zhang¹, Haibin Zhao¹, Xue Yang¹, Xizhang Song¹, Yordan Dimitrov¹, Yu-E Wu¹, Qiang Gao³, Jindong Liu², Jumei Zhang¹, Zhonghu He²

Affiliations

¹ Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
² National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100000, China.
³ Horticultural Branch of Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.

Abstract

Processing quality is an important economic wheat trait. The marker-assisted selection (MAS) method plays a vital role in accelerating genetic improvement of processing quality. In the present study, processing quality in a panel of 165 cultivars grown in four environments was evaluated by mixograph. An association mapping analysis using 90 K and 660 K single nucleotide polymorphism (SNP) arrays identified 24 loci in chromosomes 1A, 1B (4), 1D, 2A, 2B (2), 3A, 3B, 3D (2), 4A (3), 4B, 5D (2), 6A, 7B (2) and 7D (2), explaining 10.2-42.5% of the phenotypic variances. Totally, 15 loci were stably detected in two or more environments. Nine loci coincided with known genes or QTL, whereas the other fifteen were novel loci. Seven candidate genes encoded 3-ketoacyl-CoA synthase, lipoxygenase, pyridoxal phosphate-dependent decarboxylase, sucrose synthase 3 and a plant lipid transfer protein/Par allergen. SNPs significantly associated with processing quality and accessions with more favorable alleles can be used for marker-assisted selection.

Keywords: GWAS; SNP array; bread wheat; mixograph; wheat quality.

Grants and funding

This study was supported by the Natural Science Foundation of Heilongjiang (YQ2022C030), Heilongjiang Academy of Agricultural Sciences Project (2020FJZX011), the Heilongjiang Scientific Research Institution Foundation (CZKYF2021C001) and Establishment of Joint Chinese–Bulgarian Laboratory for Molecular Biology of Crop Germplasm Resources (KY201901009).