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Rice blast and bacterial blight represent two of major diseases having devastating impact on the yield of rice in most rice-growing countries. Developments of resistant cultivars are the most economic and effective strategy to control these diseases. Here, we used CRISPR/Cas9-mediated gene editing to rapidly install mutations in three known broad-spectrum blast-resistant genes, Bsr-d1, Pi21 and ERF922, in an indica thermosensitive genic male sterile (TGMS) rice line Longke638S (LK638S). We obtained transgene-free homozygous single or triple mutants in T generations. While all single and triple mutants showed increased resistance to rice blast compared with wild type, the erf922 mutants displayed the strongest blast resistance similar with triple mutants. Surprisingly, we found that Pi21 or ERF922 single mutants conferred enhanced resistance to most of tested bacterial blight. Both resistances in mutants were attribute to the up-regulation of SA- and JA-pathway associated genes. Moreover, phenotypic analysis of these single mutants in paddy fields revealed that there were no trade-offs between resistances and main agricultural traits. Together, our study provides a rapid and effective way to generate rice varieties with resistance to both rice blast and bacterial blight.
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http://dx.doi.org/10.1111/pbi.13766 | DOI Listing |
Pest Manag Sci
September 2025
Department of Plant Protection, College of Plant Science, Jilin University, Changchun, China.
Background: Southern corn leaf blight (SCLB), caused by Cochliobolus heterostrophus, is a major disease that severely affects maize production globally, especially in tropical and subtropical regions. Conventional control strategies, such as chemical fungicides and resistant cultivars, are limited due to environmental and health concerns.
Results: This study explores Bacillus velezensis JLU-55 as a potential biological control agent against C.
Front Plant Sci
August 2025
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China.
Introduction: Rice is an important food crop but is susceptible to diseases. However, currently available spot segmentation models have high computational overhead and are difficult to deploy in field environments.
Methods: To address these limitations, a lightweight rice leaf spot segmentation model (MV3L-MSDE-PGFF-CA-DeepLabv3+, MMPC-DeepLabv3+) was developed for three common rice leaf diseases: rice blast, brown spot and bacterial leaf blight.
3 Biotech
October 2025
ICAR-National Rice Research Institute, Cuttack, Odisha 753006 India.
Just as Gregor Mendel's laws of inheritance laid the foundation for modern genetics, the emergence of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas systems has catalyzed a new era in precision genome engineering. CRISPR/Cas has revolutionized rice ( L.) breeding by enabling precise, transgene-free edits to improve yield, nutrition, and stress tolerance.
View Article and Find Full Text PDFMol Plant
September 2025
College of Life Sciences, Capital Normal University, Beijing, 100048, China; Beijing Key Laboratory of Plant Gene Resources and Biotechnology for Carbon Reduction and Environmental Improvement, Beijing, 100048, China. Electronic address:
In the intricate molecular warfare between plants and pathogens, bacteria deploy sophisticated strategies to subvert host defenses. Xanthomonas oryzae pathogens, which cause devastating bacterial blight (BB) and bacterial leaf streak (BLS) in rice, utilize transcription activator-like effectors (TALEs) to manipulate host gene expression. Secreted by the type III secretion system and translocated by the type III translocon into host cells, TALEs directly bind specific DNA sequences (effector-binding elements, EBEs) in the 5'-terminal untranslated regions (UTRs) or within the promoter regions of host genes to activate transcription of these genes, including SWEETs sugar transporters and negative regulators of plant immunity (Xue et al.
View Article and Find Full Text PDFFront Plant Sci
August 2025
School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China.
Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study proposes an improved YOLOv8-based rice disease detection method (SSD-YOLO) to enhance diagnostic accuracy and efficiency.
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