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Identification of candidate pathogenicity determinants of Rhizoctonia solani AG1-IA, which causes sheath blight disease in rice

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Title Identification of candidate pathogenicity determinants of Rhizoctonia solani AG1-IA, which causes sheath blight disease in rice
 
Creator Ghosh, Srayan
Kanwar, Poonam
Jha, Gopaljee
 
Subject RNAseq
Susceptibility 
Necrotrophy
CAZymes
Sugar transporters
Effectors
 
Description Accepted date: 27 November 2017
Sheath blight disease is one of the predominant diseases of rice and it is caused by the necrotrophic fungal pathogen Rhizoctonia solani. The mechanistic insight about its widespread success as a broad host range pathogen is limited. In this study, we endeavor to identify pathogenicity determinants of R. solani during infection process in rice. Through RNAseq analysis, we identified a total of 65 and 232 R. solani (strain BRS1) genes to be commonly upregulated in three different rice genotypes (PB1, Tetep, and TP309) at establishment and necrotrophic phase, respectively. The induction of genes encoding extracellular protease, ABC transporter, and transcription factors were notable during establishment phase. While during necrotrophic phase, several CAZymes, sugar transporters, cellular metabolism, and protein degradation-related genes were prominently induced. We have also identified few putative secreted effector encoding genes that were upregulated during pathogenesis. The qPCR analysis further validated the phase-specific expression dynamics of some selected putative effectors and pathogenicity-associated genes. Overall, the present study reports identification of key genes and processes that might be crucial for R. solani pathogenesis. The ability to effectively damage host cell wall and survive in hostile plant environment by managing oxidative stress, cytotoxic compounds, etc. is being proposed to be important for pathogenesis of R. solani in rice. The functional characterization of these genes would provide key insights about this important pathosystem and facilitate development of strategies to control this devastating disease.
SG is supported by SPM fellowship from Council
of Scientific and Industrial Research (Govt. of India). PK is supported
by Post-Doctoral Research fellowship from Department of Biotechnology
(DBT, Govt. of India). We acknowledge Nucleome Informatics
Pvt. Ltd for assistance in RNAseq. The assistance of central instrumentation
facilities of NIPGR for qPCR is acknowledged. This work
was supported by DBT, Government of India as well as core research
Grant from National Institute of Plant Genome Research. The funders
had no role in study design, data collection and analysis, decision to
publish, or preparation of the manuscript.
 
Date 2017-12-06T07:07:19Z
2017-12-06T07:07:19Z
2018
 
Type Article
 
Identifier Current Genetics, 64(3): 729-740
1432-0983
http://223.31.159.10:8080/jspui/handle/123456789/805
https://link.springer.com/article/10.1007%2Fs00294-017-0791-7
https://doi.org/10.1007/s00294-017-0791-7
 
Language en_US
 
Format application/pdf
 
Publisher Springer Nature