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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

 

Email

sahusarikaiiita@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received November 7, 2011; Accepted December 5, 2011; Published December 21, 2011

 

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.

 

Citation

Sahu et al. Bioinformation 7(8): 375-378 (2011)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

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.