Research Article | Volume 9, Supplement 1, September, 2021
Identification of noval non-coding RNAs in Rhizoctonia solani through mining of transcriptomic data
Rhizoctonia solani is a plant pathogenic fungus 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 gene expression and its function during host interaction will be useful to identify potential targets in R.solani for its effective control. In recent studies, non-coding RNAs (ncRNAs) are found to have a role in regulating cellular functions. In the current study, we report 16 ncRNAs from R. solani identified using raw transcriptomic data from three different bio projects reported in NCBI’s sequence read archive database. The ncRNAs from F001 to ncRNA F0011 was expressed with fragments per kilo million reads (FPKM) values ranging from 100 to 20,000. Out of these 11 ncRNAs, 7 ncRNAs has the same intron splicing sites in all three bio projects. The ncRNA F0012 to ncRNA F0016 was found to be expressed approximately 10–80 FPKM and are present in all three bio projects, out of these five ncRNAs, three 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 and the current study might serve as the first step to achieve it.
Durairaj B, Prabhudas SK, Rengarajan J, Sellamuthu I. Identification of noval non-coding RNAs in Rhizoctonia solani through mining of transcriptomic data. J Appl Biol Biotech, 2021;9(S1):7–12.
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