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Mining QTLs and candidate genes in bread wheat associated with kernel hardness through GWAS
Qinglin Wen1,2, Dezheng Liu1, Shan Lu1
1State Key Laboratory of Crop Stress Resistance and High-Efficiency Production and College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Summary
Researchers identified 35 quantitative trait loci (QTLs) and 12 genes linked to wheat kernel hardness. This discovery aids in understanding wheat quality and milling performance.
Area of Science:
- Agricultural Science
- Genetics
- Plant Breeding
Background:
- Kernel hardness is a crucial wheat quality trait, impacting milling performance.
- Understanding the genetic basis of kernel hardness is vital for wheat breeding.
Purpose of the Study:
- To identify genetic factors controlling kernel hardness in bread wheat.
- To integrate genome-wide association studies (GWAS) and genomic prediction for genetic analysis.
Main Methods:
- Utilized 189 diverse bread wheat accessions genotyped with a 660K SNP chip.
- Performed GWAS to identify quantitative trait loci (QTLs) associated with kernel hardness index (KHI).
- Employed genomic prediction (Bayesian ridge regression) to assess prediction accuracy.
Main Results:
- Identified 67 QTLs associated with KHI across multiple environments.
- Pinpointed 35 significant QTLs with haplotype-dependent KHI variations.
- Discovered 12 candidate genes encoding proteins like gliadins, glutenins, and enzymes potentially regulating KHI.
Conclusions:
- Established a strong genetic basis for wheat kernel hardness.
- Provided candidate genes and QTLs for marker-assisted selection in wheat breeding programs.
- Facilitated the screening of wheat germplasm for improved kernel hardness traits.
