Title |
Computational identification of miRNAs in medicinal plant Senecio vulgaris (Groundsel) |
Authors |
Sarika Sahu1*, Anjana Khushwaha1 & Rekha Dixit2 |
Affiliation |
1Centre for Bioinformatics, Faculty of Biological Engineering, Shobhit University, Meerut; 2School of Biotechnology, Faculty of Biological Engineering, Shobhit University, Meerut
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sahusarikaiiita@gmail.com; *Corresponding author
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Article Type |
Hypothesis
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Date |
Received November 7, 2011; Accepted December 5, 2011; Published December 21, 2011
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Abstract |
TRNAs Interference plays a very important role in gene silencing. In vitro identification of miRNAs is a slow process as it is difficult to isolate them. Nucleotide sequences of miRNAs are highly conserved among the plants and, this form the key feature behind the identification of miRNAs in plant species by homology alignment. In silico identification of miRNAs from EST database is emerging as a novel, faster and reliable approach. Here EST sequences of Senecio vulgaris (Groundsel) were searched against known miRNA sequences by using BLASTN tool. A total of 10 miRNAs were identified from 1956 EST sequences and 115 GSS sequences. The most stable miRNA identified is svu-mir-1. This approach will accelerate advance research in regulation of gene expression in Groundsel by interfering RNAs.
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Citation |
Sahu et al.
Bioinformation 7(8): 375-378 (2011) |
Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |