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Updated: Jan 7, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Integrative genomic and transcriptomic approaches decipher pre-harvest sprouting resistance in rice
Lv Yang1, Renyuan Yang1, Yuxuan Wang2
1Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Science, Hangzhou, China.
None:
Pre-harvest sprouting (PHS) seriously compromises rice yield and quality, increase susceptibility to insect pest and reduce seed viability. Beside agronomic control measures, the genetic makeup of rice plants serves as a fundamental determinant in conferring resistance to PHS. Therefore, integrating multi-omics strategies to construct high-resolution genetic variation maps, screen extreme-phenotype germplasm, and identify causal genes are pivotal for generating PHS-resistant breeding material. In this study, we performed whole-genome re-sequencing of 165 highly diverse indica rice accessions to construct a high-density genetic variation map, obtaining a dataset comprising 1,584,905 high-quality SNPs for subsequent association analysis. Genome-wide association studies (GWAS) further uncovered 21 candidate loci and multiple candidate genes associated with PHS, from which key candidate genes were prioritized. In particular, previously cloned PHS-related genes-OsCDP3.10, OsWRKY50, UGT74J1, OsJAZ6, and IPA1. Additionally, we investigated the transcriptional analyses in cultivars Z33 and Z216 under high-humidity conditions and identified 19,087 differentially expressed genes (DEGs). Notably, by integrating GWAS and transcriptomic analyses, we identified UGT74J1 as a promising candidate gene, and haplotype analysis further revealed UGT74J1-Hap3 as a superior haplotype associated with PHS resistance. This multi-omics dataset and the candidate genes identified will provide valuable genetic resources for molecular breeding toward improved PHS resistance in rice.
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