Yumin Huang

School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China
Author    Correspondence author
Bioscience Methods, 2024, Vol. 15, No. 3   doi: 10.5376/bm.2024.15.0012
Received: 29 Mar., 2024    Accepted: 22 May, 2024    Published: 29 Aug., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Huang Y.M., 2024, Molecular diagnostics: a new era in pet disease detection, Bioscience Methods, 15(3): 102-113 (doi: 10.5376/bm.2024.15.0012)

Understanding the intricate interactions between rice (Oryza sativa) and its pathogens is crucial for developing effective disease management strategies. Transcriptomic approaches have significantly advanced our knowledge in this area by enabling comprehensive profiling of gene expression during infection. This study leverages high-quality RNA sequencing and other transcriptomic techniques to explore the dynamic interactions between rice and various pathogens, including the rice blast fungus (Magnaporthe oryzae) and the Rice black-streaked dwarf virus (RBSDV). Key findings include the identification of differentially expressed mRNAs and long non-coding RNAs (lncRNAs) that play essential roles in rice's defense mechanisms, as well as novel microRNAs (miRNAs) that regulate pathogen resistance genes. Additionally, tissue-specific expression patterns of pathogenicity genes and miRNAs were observed, providing deeper insights into the dual-epidemics of blast disease. These transcriptomic analyses offer a valuable resource for understanding the molecular mechanisms underlying rice-pathogen interactions and pave the way for developing improved disease-resistant rice varieties.

Rice-pathogen interactions; Transcriptomics; Magnaporthe oryzae; Long non-coding RNAs (lncRNAs); MicroRNAs (miRNAs)