Identification of Rice LncRNAs and Their Roles in the Rice Blast Resistance Network Using Transcriptome and...

Area of Science:

• Plant Molecular Biology
• Plant Pathology
• Genomics and Bioinformatics

Background:

• Long non-coding RNAs (lncRNAs) are crucial in plant immunity, but their function in rice resistance against Magnaporthe oryzae (rice blast) is not well understood.
• Accurate identification of lncRNAs is essential for understanding their regulatory roles in plant defense mechanisms.

Purpose of the Study:

• To develop an optimized pipeline for identifying rice lncRNAs and investigate their roles in rice resistance against M. oryzae.
• To elucidate the molecular mechanisms by which lncRNAs contribute to rice blast resistance, focusing on hormone signaling pathways.

Main Methods:

• Integrated translatome and genome data to create an optimized protein-coding dataset.
• Developed the "RiceLncRNA" pipeline for accurate lncRNA identification using strand-specific RNA-sequencing (ssRNA-seq) data.
• Employed weighted gene co-expression network analysis (WGCNA) and competing endogenous RNA (ceRNA) network analysis.

Main Results:

• Identified 9003 high-confidence rice lncRNAs, significantly improving accuracy over traditional methods.
• Differentially expressed lncRNAs (DELs) in resistant rice varieties were linked to salicylic acid (SA) and auxin (IAA) biosynthesis, while susceptible varieties showed enrichment in carbon metabolism.
• Key lncRNAs potentially act as miRNA sponges, regulating receptor-like kinases (RLKs), resistance (R) proteins, and hormone signaling pathways (jasmonic acid (JA), ethylene (ET), IAA).

Conclusions:

• The study presents an optimized rice lncRNA annotation framework and reveals lncRNA-mediated regulation of hormone signaling pathways in rice blast resistance.
• These findings offer crucial molecular insights for breeding disease-resistant rice cultivars.