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The Plant Infection Test: Spray and Wound-Mediated Inoculation with the Plant Pathogen Magnaporthe Grisea
Published on: August 4, 2018
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Deciphering early responsive signature genes in rice blast disease: an integrated temporal transcriptomic study
Ajitha Antony1, Shanthi Veerappapillai1, Ramanathan Karuppasamy2
1Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Journal of Applied Genetics
|August 24, 2024
Summary
Rice blast disease threatens global food security. This study integrated gene expression data to identify key genes involved in rice
Area of Science:
- Plant Pathology
- Genomics
- Molecular Biology
Background:
- Rice blast disease, caused by Magnaporthe oryzae, is a major threat to global food security.
- Understanding early pathogen stress responses in rice is crucial for developing resistant varieties.
Purpose of the Study:
- To identify and analyze differentially expressed genes (DEGs) in rice during early stages of Magnaporthe oryzae infection.
- To uncover key genes and pathways involved in rice's response to blast disease.
Main Methods:
- Integrated time-series microarray (GSE95394) and RNA-Seq (GSE131641) datasets.
- Analyzed 1580 overlapped DEGs, constructed a protein-protein interaction (PPI) network, and identified hub genes using MCODE and CytoHubba.
- Validated hub gene expression and analyzed co-expression patterns and Gene Ontology enrichment.
Main Results:
- Identified eight hub genes (RPL8 upregulated; RPL27, OsPRPL3, RPL21, RPL9, RPS5, OsRPS9, RPL17 downregulated) crucial for pathogenesis.
- RPL8 showed distinct co-expression, while RPL9 played a central role among interconnected downregulated ribosomal proteins.
- Hub genes were enriched in ribosome biogenesis and protein translation, aligning with suppressed ribosome activity during plant defense.
Conclusions:
- The study provides novel insights into rice-blast interactions by identifying key ribosomal protein genes.
- Targeting these identified ribosomal proteins offers potential for developing novel stress-resistant rice varieties.
- Integrated transcriptomic analysis enhances reliability and deepens understanding of rice blast disease mechanisms.
Keywords:
Magnaporthe oryzaeCytoHubbaGene OntologyMCODEProtein–Protein InteractionTranscriptomic data
