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Title

Computational identification and analysis of MADS box genes in Camellia sinensis 

 

Authors

Madhurjya Gogoi*, Sangeeta Borchetia & Tanoy Bandyopadhyay

 

Affiliation

Department of Biotechnology, Tea Research Association, Tocklai Tea Research Institute, Jorhat-785008, Assam, India

 

Email

mdhjyagogoi@gmail.com;

 

Article Type

Hypothesis

 

Date

Received January 23, 2015; Accepted February 18, 2015; Published March 31, 2015

 

Abstract

MADS (Minichromosome Maintenance1 Agamous Deficiens Serum response factor) box genes encode transcription factors and they play a key role in growth and development of flowering plants. There are two types of MADS box genes- Type I (serum response factor (SRF)-like) and Type II (myocyte enhancer factor 2 (MEF2)-like). Type II MADS box genes have a conserved MIKC domain (MADS DNA-binding domain, intervening domain, keratin-like domain, and c-terminal domain) and these were extensively studied in plants. Compared to other plants very little is known about MADS box genes in Camellia sinensis. The present study aims at identifying and analyzing the MADS-box genes present in Camellia sinensis. A comparative bioinformatics and phylogenetic analysis of the Camellia sinensis sequences along with Arabidopsis thaliana MADS box sequences available in the public domain databases led to the identification of 16 genes which were orthologous to Type II MADS box gene family members. The protein sequences were classified into distinct clades which are associated with the conserved function of flower and seed development. The identified genes may be used for gene expression and gene manipulation studies to elucidate their role in the development and flowering of tea which may pave the way to improve the crop productivity. 

 

Keywords

Bioinformatics, Crop productivity, Flowering, MADS box genes, Tea, Transcription factor.

 

Citation

Gogoi et al.   Bioinformation 11(3): 115-121 (2015)
 

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.