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Updated: Jun 27, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Integrative Genome-Wide Association Study (GWAS), Transcriptome, and Sequence Variation Analyses Reveal Candidate
Panpan Li1, Zhiguo Xiang1, Dan Zhang1
1Wheat Institute, Henan Academy of Agricultural Sciences (HAAS), Zhengzhou 450002, China.
Background:
Grain length is a key determinant of yield and quality in barley (Hordeum vulgare L.) and is typically governed by complex quantitative traits.
Methods:
In this study, a diverse natural population comprising 198 barley accessions was evaluated across two years to investigate the genetic basis of grain length.
Results:
Phenotypic analysis revealed continuous variation with near-normal distribution, indicating polygenic control. Genome-wide association study (GWAS) identified 84 stable single nucleotide polymorphism (SNP) loci significantly associated with grain length, predominantly enriched on chromosome 7. RNA sequencing (RNA-seq) was conducted using two contrasting genotypes at four developmental stages. Differentially expressed genes (DEGs) were mainly enriched in structural constituent of chromatin, protein heterodimerization activity, and the starch and sucrose metabolism. Integration of GWAS and RNA-seq identified 7 key candidate genes seven key candidate genes, including LOC123412467, LOC123408579, LOC123407599, LOC123410619, LOC123410954, LOC123411868, and LOC123426274. Sequence variation analysis further revealed functional polymorphisms, including non-synonymous mutations. The sequencing results show that LOC123412467 and LOC123410619 exhibited consistent allelic variation between long-grain and short-grain accessions, while LOC123426274 displayed stable differential expression across developmental stages, indicating their potential roles as key genes controlling grain length.
Conclusions:
Collectively, these findings suggest that chromosome 7 contains major regulatory loci controlling barley grain length and demonstrate that integrative multi-omics analysis is an effective strategy for identifying high-confidence candidate genes associated with complex agronomic traits. This study provides valuable insights into the genetic basis of grain length and offers key candidate genes for barley molecular breeding.
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