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Updated: Jan 18, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Identification of Rice LncRNAs and Their Roles in the Rice Blast Resistance Network Using Transcriptome and
Xiaoliang Shan1, Shengge Xia1,2, Long Peng3,4
1State Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China.
Abstract:
Long non-coding RNAs (lncRNAs) have emerged as pivotal regulators in plant immune responses, yet their roles in rice resistance against Magnaporthe oryzae (M. oryzae) remain inadequately explored. In this study, we integrated translatome data with conventional genome annotations to construct an optimized protein-coding dataset. Subsequently, we developed a robust pipeline ("RiceLncRNA") for the accurate identification of rice lncRNAs. Using strand-specific RNA-sequencing (ssRNA-seq) data from the resistant (IR25), susceptible (LTH), and Nipponbare (NPB) varieties under M. oryzae infection, we identified 9003 high-confidence lncRNAs, significantly improving identification accuracy over traditional methods. Among the differentially expressed lncRNAs (DELs), those unique to IR25 were enriched in the biosynthetic pathways of phenylalanine, tyrosine, and tryptophan, which suggests that they are associated with the production of salicylic acid (SA) and auxin (IAA) precursors, which may be involved in defense responses. Conversely, DELs specific to LTH primarily clustered within carbon metabolism pathways, indicating a metabolic reprogramming mechanism. Notably, 21 DELs responded concurrently in both IR25 and LTH at 12 h and 24 h post-inoculation, indicating a synergistic regulation of jasmonic acid (JA) and ethylene (ET) signaling while partially suppressing IAA pathways. Weighted gene co-expression network analysis (WGCNA) and competing endogenous RNA (ceRNA) network analysis revealed that key lncRNAs (e.g., LncRNA.9497.1) may function as miRNA "sponges", potentially influencing the expression of receptor-like kinases (RLKs), resistance (R) proteins, and hormone signaling pathways. The reliability of these findings was confirmed through qRT-PCR and cloning experiments. In summary, our study provides an optimized rice lncRNA annotation framework and reveals the mechanism by which lncRNAs enhance rice blast resistance through the regulation of hormone signaling pathways. These findings offer an important molecular basis for rice disease-resistant breeding.
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