REVIEW article
Front. Plant Sci.
Sec. Plant Pathogen Interactions
This article is part of the Research TopicNovel Insights into Rice Disease Resistance: From Molecular Mechanisms to Sustainable BreedingView all articles
Resistance Gene Against Xanthomonas oryzae pv. Oryzae (Xoo) in Rice: Molecular Mechanisms and Breeding Strategies for Bacterial Leaf Blight
Provisionally accepted
- 1State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute (CAAS), Hangzhou, China
- 2China National Rice Research Institute, Hangzhou, China
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Bacterial leaf blight (BLB), caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases threatening global rice production. In recent decades, a range of disease resistance genes have been identified in rice. These genes are involved in complex molecular mechanisms, such as the activation of immune receptors and defense signaling pathways, which trigger the plant's immune response to combat pathogen invasion. Some of these genes have been successfully applied in molecular breeding to develop new disease-resistant varieties. However, traditional breeding methods, which rely heavily on the experience and intuition of breeders, often face limitations in speed and efficiency. With the emergence of artificial intelligence (AI) technologies, there is growing interest in using them to accelerate the breeding of disease-resistant cultivars. This review summarizes the current understanding of the molecular mechanisms underlying BLB resistance, focusing on key resistance genes and their roles in defense responses. It also explores breeding strategies aimed at enhancing resistance and evaluates the opportunities and challenges of AI tools into rice disease resistance breeding.
Keywords: AI-assisted breeding, bacterial, blight, leaf, mechanisms, molecular breeding, Oryzae, Pathogenic
Received: 11 Nov 2025; Accepted: 15 Jan 2026.
Copyright: © 2026 Jiang, Huang, Yang and Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Changdeng Yang
Yan Liang
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