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International Journal of Computational Bioinformatics and In Silico Modeling
2013: Volume-2 Issue-3
ISSN: 2320-0634

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ABSTRACT   REFERENCES  
International Journal of Computational Bioinformatics and In Silico Modeling 2(3) 2013: 123-127

Regulatory Motifs in precursors of miR156 family in plants


Sayak Ganguli*, Pritha Mukhopadhyay, Sohini Gupta and Abhijit Datta

DBT Centre for Bioinformatics, Presidency University, Kolkata.

* Corresponding Author

ABSTRACT

Understanding the basic mechanisms of micro RNA control in the cell has been one of the open ended problems in this field of study. Though next generation sequencing has helped us unearth a large number of candidate microRNAs and their possible targets, we still do not know the exact mechanisms by which the production of these microRNAs is actually controlled. MicroRNAs in plants have been well documented to be involved in developmental processes and their expression levels have also been sketched throughout the life cycle of a plant. The upregulation and downregulation of these micro RNA entities provides clear indication that a regulatory network exists for the control of their differential expression. This work focuses on the identification of the regulatory motifs in the precursor sequences using position specific weight matrix based pattern classification algorithm. The candidate microRNA family used for this study is mir156 family which has been reported in a large number of plant species in monocotyledons as well as dicotyledons. Results indicate that regulatory motifs are present in large numbers at the DNA as well as RNA levels. Few motifs were found to be overrepresented.

Copyright © 2013 | AIZEON publishers | All rights reserved

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Citation: Sayak Ganguli et al. (2013). Regulatory Motifs in precursors of miR156 family in plants. Int J Comput Bioinfo In Silico Model 2(3): 123-127

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