Jianquan Li

Hainan Institute of Troppical Agricultural Resources (HITAR), Sanya, 572025, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 1   doi: 10.5376/cmb.2024.14.0005
Received: 08 Jan., 2024    Accepted: 12 Feb., 2024    Published: 25 Feb., 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.

Li J.Q., 2024, Role of proteomics in unraveling bacterial virulence in rice, Computational Molecular Biology, 14(1): 36-44 (doi: 10.5376/cmb.2024.14.0005)

Rice stands as a pivotal global staple, underpinning the sustenance of billions. However, its production is critically hampered by bacterial diseases, which pose substantial threats to food security. This systematic review delves into the vital role of proteomics in understanding bacterial virulence and its interactions with rice, highlighting the indispensable need for advanced proteomic techniques to address these challenges. Employing methods such as mass spectrometry and two-dimensional electrophoresis, this review consolidates key findings including the identification of specific virulence factors and detailed insights into host-pathogen dynamics. These proteomic methodologies have illuminated the pathogenic processes affecting rice, paving the way for targeted interventions. The implications of these findings are profound, offering potential strategies for the development of disease-resistant rice varieties and thus enhancing agricultural productivity. However, the field faces ongoing challenges such as the complexity of proteomic data and the need for enhanced sensitivity and specificity in detecting virulence factors. Future directions include refining proteomic techniques and integrating multi-omics approaches to foster a holistic understanding of bacterial pathogenesis in rice. This review underscores the transformative potential of proteomics in revolutionizing rice pathology for improved crop resilience and yield.

Proteomics; Bacterial virulence; Rice diseases; Host-pathogen interactions; Disease resistance