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Updated: Sep 13, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Genome-wide association study of pre-harvest sprouting resistance and grain color in common wheat (Triticum aestivum
Ling Chen1, Yue Tao1, Chengxiang Song2
1Institute of Food Crops, Hubei Academy of Agricultural Sciences/Central China Wheat Disease Biology Research Station of Ministry of Agriculture and Rural Affairs/Hubei Engineering and Technology Research Center of Wheat/Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement/Key Laboratory of Crop Molecular Breeding of Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, 430064, China.
Background:
Pre-harvest sprouting (PHS) is a serious problem in wheat production globally. Grain color (GC) has a notable impact on PHS resistance, red grains typically show higher resistance compared to white grains. To understand the genetic factors influencing PHS and GC, a genome-wide association study (GWAS) was conducted on a natural population of 235 wheat cultivars using a 90 K single nucleotide polymorphism (SNP) arrays.
Results:
A strong correlation between PHS and GC was observed, with the highest correlation coefficient of 0.85 (P < 0.0001). Association mapping was performed using four different models (BLINK, FarmCPU, MMLM and MLM) in the GAPIT along with MLM model in the Tassel. The study identified twelve stable quantitative trait loci (QTLs) related to PHS resistance and another twelve stable QTLs associated with GC. Notably, six QTLs for PHS resistance were newly discovered, explaining 5.8-10.0% of the phenotypic variation. Additionally, four common QTLs were identified that are linked to both PHS resistance and GC. Among these, Qphs.hbaas-3B.2/Qgc.hbaas-3B.2 and Qphs.hbaas-3D/Qgc.hbaas-3D were recognized as major loci significantly affecting both traits, likely associated with the genes Tamyb-B1 and Tamyb-D1, respectively. The other two new QTLs on chromosome 2B explained 7.0-10.0% of phenotypic variation in PHS resistance and 4.7-7.4% of phenotypic variation in GC. Furthermore, six candidate genes associated with PHS resistance were predicted, warranting further investigation. Three KASP markers IACX5850, Tdurum_contig11028_236 and wsnp_Ex_c269_518324 linked to three QTLs (Qphs.hbaas-2B.2, Qphs.hbaas-2B.4, and Qphs.hbaas-7B.2) are applicable for marker-assisted selection in wheat breeding to enhance PHS resistance.
Conclusions:
This study provides valuable genetic loci and KASP markers that can enhance PHS resistance in wheat breeding programs and offers insights for discovering PHS resistance genes.
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