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Vol. 7, Issue 4 (2018)

Computational identification of mi RNA and their predicted target genes from Ocimum tenuiflorum draft genome

Author(s):
Maulikkumar Patel, Harshida Gadhvi, Naman Mangukia, Neha Jha Saumya Patel, Archana Mankad, Himanshu Pandya and Rakesh Rawal
Abstract:
Micro RNAs (mi RNA) are ~22nt long newly identified class of small non coding RNAs that are post transcriptional regulatory RNA in both plants and animals. The use of computational genomics homology search approach for the identification of conserved mi RNA from O. tenuiflorum drafted genome scaffold sequences with the available plant mi RNA database and screened the conserved mi RNA based on the stringent filtering criteria. In the present study, identification of 80 potential mi RNAs were done using previously known plant mi RNAs. Using the potentially identified mi RNA sequences, a total of 112 potential target genes were identified and it belongs to 12 mi RNA families; 12 of these predicted target genes encode auxin transcription factors, 16 target genes appear to play roles in lipid binding and 12 target genes have hypothetical or unknown functions. These findings significantly enlarge the scope of understanding the functions of mi RNA in O. tenuiflorum.
Pages: 618-628  |  576 Views  113 Downloads


The Pharma Innovation Journal
How to cite this article:
Maulikkumar Patel, Harshida Gadhvi, Naman Mangukia, Neha Jha Saumya Patel, Archana Mankad, Himanshu Pandya, Rakesh Rawal. Computational identification of mi RNA and their predicted target genes from Ocimum tenuiflorum draft genome. Pharma Innovation 2018;7(4):618-628.
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