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This page allows users to get access to all the transcriptomics level experiments conducted and data generated from Rhizoctonia solani (R. solani) under Sheath Blight (SB) infection condition. Users can download the differentially expressed genes (DEGs) by clicking on Download the genes. To know more about MIAPPE, visit https://www.miappe.org/



Sl.No Title of the study Method Key Findings Data Availability Publication Download the Genes MIAPPE_Checklist
A Comprehensive Gene Expression Profile of Pectin Degradation Enzymes Reveals the Molecular Events during CellWall Degradation and Pathogenesis of Rice Sheath Blight Pathogen Rhizoctonia solani AG1-IA RNAseq Analysis of R. solani genes in 2 succeptible (TN1 and BPT5204) and 2 resistant (Tetep and Pankaj). Analysed genes included secreted proteins, cytochrome P450, transcription factors were analysed. R. solani specific pectin degreding enzymes which help in establishment of the pathogenesis. PRJNA612594 Rao et al. (2020) Click here to download Download
Comprehensive analysis of microRNA-Seq and target mRNAs of rice sheath blight pathogen provides new insights into pathogenic regulatory mechanisms AG1-IA strain of R. solani were selected from an infected rice plant was taken for the experiment. Fungal pathogen then grown and RNA was extracted after certain growth times. Then cDNA library was constructed and then miRNAs were identified. sRNAs of the pathogen was also sequenced. Target gene prediction analysis, fungal transcriptome analysis, construction of protein-protein interaction network waas done. then miRNA expression study was done by RT-qPCR. Several pathogen specific miRNAs and there target genes were identified. PRJNA282111 Lin et al. (2016) Click here to download Download
Identification and functional analysis of AG1?IA specific genes of Rhizoctonia solani Genomic data of two R. solani isolates (AG1-IA and AG1-IB) was taken and analysed follweed by functional annotation, differential analysis of AG1-IA specific genes, identification of pathogen associated genes. Two cultivarsof rice i.e. indica and japonica was grown and infected by the pathogen. Then isolation of RNA was done from infected plant leaves followed by cDNA synthesis. Now cDNA expression studies was done. Identified 3942 R. solani specific genes along with specific genes related to pathogenesity of rice. Ghosh et al. (2014) Click here to download Download
Identification of candidate pathogenicity determinants of Rhizoctonia solani AG1-IA, which causes sheath blight disease in rice RNAseq analysis of was done including samples from three infected rice verities (PB1, TP309 and Tetep). This included RNA isolation and sequencing. Then trancription assembly, annotation and differential expression analysis was performed. Now, functional metabolic pathway analysis was done. Then validation of the results was done by qPCR. Totally, 65 R. solani related genes were found to be upregulated. These genes included genes like protease, transporters and TFs. PRJNA298635 Ghosh et al. (2018) Click here to download Download
Integrative transcriptome analysis discloses the molecular basis of a heterogeneous fungal phytopathogen complex, Rhizoctonia solani AG-1 subgroups Fungal strains (AG1-IA, AG1-IB and AG1-IC) were collected and grown. Total RNA was extracted and cDNA from them was synthesized. Then the cDNAs were amplified and sequenced. Then the raw data was subjected to transcriptome assembly study. Then sequence comparision, mining of SSR transcripts, Gene annotation, gene expression analysis, and GO enrichment analyses are performed. Sequences of pathogenic factors, phytotoxin biosynthesis pathway enzymes, secreted lignocellulosic enzymes, secreted reactive oxygen species detoxification enzymes, apoplastic/cytoplasmic effector were found to be conserved. Pathogenic factors including allergen protein homologues, oxidative phosphorylation and ethylene biosynthesis pathways were identified. Yamamoto et al. (2019) Click here to download Download
The evolution and pathogenic mechanisms of the rice sheath blight pathogen R. solani AG1-IA strain was collected and grown. DNA was the extracted and sequenced. Then gene prediction and annotation process was completed. Trancriptome expression study was then done and genes involved in the pathogenecity process was identified. Data were then validated. Several secreted proteins,enzymes related to metabolism, carbohydate-active enzymes and transporters were identified. Out of the 25 pathogen effectors, 3 were validated to trigger host defense response. PRJNA147097 Zheng et al. (2013) Click here to download Download
Transcriptome analysis reveals molecular mechanisms of sclerotial development in the rice sheath blight pathogen Rhizoctonia solani AG1-IA Fungal strain growth, RNA extraction, cDNA library preparation, sequencing, dara analysis, gene ontology, functional annotation, qPCR based validation Pathogen related DEGs to different biological processes like melanin biosynthesis, cell cycle, secondary metabolite biosynthesis, ubiquitin process, autophagy, ROS metabolism were identified PRJNA297820 Shu et al. (2019) Click here to download Download
Transcriptome analysis reveals the host selection fitness mechanisms of the Rhizoctonia solani AG1IA pathogen R. solani AG1-IA strains were isolated from three different infected hosts i.e. rice, maize and soybean and grown.Various analyses like anastomosis test, mycelial growth analysis, disease index test was done. Then transcriptomics related analysis like RNA extraction, cDNA library construction, sequencing, alternativce splicing and validation, gene ontology and pathway analysis, differential expression analysis, gene annotation and validation of results by qPCR was performed. Many genes like pathogen effectors, hydrolases, proteins of secondary metabolite production, alternative splicing etc were found. This provides a clear picture of pathogenecity and host selection of the pathogen. PRJNA377841 Xia et al. (2017) Click here to download Download
Transcriptomic evidence for involvement of reactive oxygen species in Rhizoctonia solani AG1 IA sclerotia maturation R. solani AG1-IA collection, RNA isoilation, cDNA library preparation, clustering and sequencing, Quality control analysis, quantification of gene expression levels, differential expression analysis, GO and KEGG analysis, ROS production detrermination, RT-qPCR based analysis. 5004 DEGs were identified which belong to categories like oxidoreductase activity, carbohydrate metabolic process, oxidation-reduction process. PRJNA437334 Liu et al. (2018) Click here to download Download
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