Integrative genomic and transcriptomic approaches decipher pre-harvest sprouting resistance in rice.
Lv Yang, Renyuan Yang, Yuxuan Wang, Muhammad Asad Ullah Asad, Yueying Wang, Zhiyuan Chang, Tianhui Miao, Shudong Yang, Yiting Wei, Shanshan Wu, Jiaxue Bao, Mingming Wu, Jing Ye, Rongrong Zhai, Shenghai Ye
Abstract
Open AccessPre-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.