Defense Surveillance System at the Interface: Response of Rice Towards Rhizoctonia solani During Sheath Blight Infection

Sheath blight of rice caused by necrotrophic plant pathogen is one of the most common fungal diseases of rice leading to significant yield loss. Among the defense responses exhibited by the host plants towards fungal infections, those functional within the apoplast contribute significantly. Here, we...

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Bibliographic Details
Published in:Molecular plant-microbe interactions 2022-12, Vol.35 (12), p.1081-1095
Main Authors: Acharya, Udita, Das, Troyee, Ghosh, Zhumur, Ghosh, Anupama
Format: Article
Language:English
Subjects:
Apoplast
Blight
defense response
Disease resistance
Disease Resistance - genetics
Fungal diseases
Fungi
Gene expression
Genes
Host plants
Infections
Oryza - microbiology
Oryza sativa
Plant Diseases - microbiology
Protease inhibitors
Proteinase inhibitors
Proteins
Rhizoctonia - physiology
Rhizoctonia solani
Rice
Sheath blight
Sheaths
Signal processing
Surveillance systems
Transcriptome
Transcriptomes
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Summary:Sheath blight of rice caused by necrotrophic plant pathogen is one of the most common fungal diseases of rice leading to significant yield loss. Among the defense responses exhibited by the host plants towards fungal infections, those functional within the apoplast contribute significantly. Here, we have studied apoplastic defense response of rice towards during sheath blight infection. The transcriptome of -infected rice plants was compared with that of uninfected rice, to identify the set of defense genes that undergo differential expression and code for proteins with a predicted N-terminal signal peptide. Significant changes in the stress-responsive, molecular signal perception, protein modification, and metabolic process pathways represented by a group of differentially expressed genes were observed. Our data also revealed two secreted protease inhibitors from rice that exhibit increased expression during infection and induce disease resistance when expressed in . [Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
ISSN:0894-0282
1943-7706
DOI:10.1094/MPMI-07-22-0153-R