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Title

Classification and comparative analysis of Curcuma longa L. expressed sequences tags (ESTs) encoding glycine-rich proteins (GRPs)

 

Authors

Basudeba Kar, Sanghamitra Nayak & Raj Kumar Joshi*

 

Affiliation

Centre of Biotechnology, School of Pharmaceutical Sciences Siksha O Anusandhan University, Bhubaneswar-751003, India.

 

Email

rajkumar.joshi@yahoo.co.in; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received January 18, 2012; Accepted January 19, 2012; Published February 03, 2012

 

Abstract

Glycine-rich proteins (GRPs) are a group of proteins characterized by their high content of glycine residues often occurring in repetitive blocs. The diverse expression pattern and sub cellular localization of various GRPs suggest their implication in different physiological processes. Several GRPs has been isolated and characterized from different monocots and dicots. However, little or no information is available about the structure and function of GRPs in asexually reproducing plants. In this study, in-silico analysis of expressed sequence tag database resulted in the isolation of fifty-one GRPs from Curcuma longa L., an asexually reproducible plant of great medicinal and economic significance. Phylogenetic analysis grouped the GRPs into four distinct classes based on conserved motifs and nature of glycine-rich repeats. Majority of the isolated GRPs exhibited high homology with known GRPs from other plants that are expressed in response to various stresses. The presence of high structural diversity and signal peptide in some GRPs suggest their diverse physiological role and tissue specific localization. The isolated sequences can be used as a framework for cloning, characterization and expressional analysis of GRPs in response to various biotic and abiotic stresses in Curcuma longa as well as other asexually reproducing plants.

 

Keywords

Curcuma longa, expressed sequence tags, GRPs, TBLASTN

 

Citation

Kar et al. Bioinformation 8(3): 142-146 (2012)
 

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.