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Identification of non-coding RNAs in Rhizoctonia solani through mining of transcriptomic Data

Balachander Durairaj, Sudheesh K Prabhudas, Jaiganesh Rengarajan, Iyappan Sellamuthu.




Abstract
Cited by 0 Articles

Rhizoctonia solani is a plant pathogenic fungi infecting a wide range of hosts including economically important crops such as wheat, rice, and vegetables, etc. and leads to a loss in agricultural production. Various chemicals and bio fungicides are used to control R.solani. Understanding of genome and its function during host interaction will be useful to identify potential targets in R.solani for its effective control. In recent studies, ncRNAs are found to have a role in regulating cellular functions. In the current study, we report 16 non-coding RNAs from R. Solani identified using raw transcriptomic data from 3 different bio projects reported in NCBI’s SRA database. The ncRNAs from F001 to ncRNA F0011 was expressed with FPKM values ranging from 100 to 20000. Out of these 11 ncRNAs, 10 ncRNAs has the same intron splicing sites in all three bio projects. The ncRNA F0012 to ncRNA F0016 was found to be expressed approximately 10 to 80 FPKM and are present in all three bio projects, out of these 5 ncRNAs, 3 are found to have similar splicing sites in all three bio projects. The high expression levels of the ncRNAs and their presence in the genome confirmed by different datasets point to the fact that they might have a major function in the organism and should be studied further to characterize it functionally.

Key words: Rhizoctonia solani, Non coding RNA, lncRNA, Transcriptome mining, Plant microbe interaction






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