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GST profile expression study in some selected plants: in silico approach

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Abstract

Glutathione acts as a protein disulphide reductant, which detoxifies herbicides by conjugation, either spontaneously or by the activity of one of a number of glutathione-S-transferases (GSTs), and regulates gene expression in response to environmental stress and pathogen attack. GSTs play roles in both normal cellular metabolisms as well as in the detoxification of a wide variety of xenobiotic compounds, and they have been intensively studied with regard to herbicide detoxification in plants. A newly discovered plant GST subclass has been implicated in numerous stress responses, including those arising from pathogen attack, oxidative stress and heavy-metal toxicity. In addition, plants GSTs play a role in the cellular response to auxins and during the normal metabolism of plant secondary products like anthocyanins and cinnamic acid. The present work involves two in silico analytical approaches—general secondary structure prediction studies of the proteins and detailed signature pattern studies of some selected GST classes in Arabdiopsis thaliana, mustard, maize and bread wheat by standard Bioinformatics tools; structure prediction tools; signature pattern tools; and the evolutionary trends were analyzed by ClustalW. For this purpose, sequences were obtained from standard databases. The work reveals that these proteins are mainly alpha helical in nature with specific signature pattern similar to phosphokinase C, tyrosine kinase and casein kinase II proteins, which are closely related to plant oxidative stress. This study aims to comprehend the relationship of GST gene family and plant oxidative stress with respect to certain specific conserved motifs, which may help in future studies for screening of biomodulators involved in plant stress metabolism.

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Acknowledgements

The authors wish to acknowledge the authorities of Heritage Institute of Technology for providing necessary technical support for this work.

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  1. Department of Biotechnology, Heritage Institute of Technology, Chowbaga Road, Anandapur. P.O. East Kolkata Township, Kolkata, 700107, India

    Soma Banerjee & Riddhi Goswami

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  1. Soma Banerjee
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  2. Riddhi Goswami
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Correspondence to Soma Banerjee.

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Banerjee, S., Goswami, R. GST profile expression study in some selected plants: in silico approach. Mol Cell Biochem 336, 109–126 (2010). https://doi.org/10.1007/s11010-010-0384-y

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