Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach

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Title	Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach
Authors	Rajesh Kumar Pathak, Gohar Taj*, Dinesh Pandey, Sandeep Arora & Anil Kumar
Affiliation	Department of Molecular Biology & Genetic Engineering, College of Basic Sciences & Humanities, G.B. Pant University Of Agriculture & Technology, Pantnagar-263145, Uttarakhand, India
Email	gohartajkhan@rediffmail.com; *Corresponding author
Article Type	Hypothesis
Date	Received March 08, 2013; Accepted March 10, 2013; Published May 25, 2013
Abstract	Mitogen-Activated Protein Kinases (MAPKs) cascade plays an important role in regulating plant growth and development, generating cellular responses to the extracellular stimuli. MAPKs cascade mainly consist of three sub-families i.e. mitogen-activated protein kinase kinase kinase (MAPKKK), mitogen-activated protein kinase kinase (MAPKK) and mitogen activated protein kinase (MAPK), several cascades of which are activated by various abiotic and biotic stresses. In this work we have modeled the holistic molecular mechanisms essential to MAPKs activation in response to several abiotic and biotic stresses through a system biology approach and performed its simulation studies. As extent of abiotic and biotic stresses goes on increasing, the process of cell division, cell growth and cell differentiation slow down in time dependent manner. The models developed depict the combinatorial and multicomponent signaling triggered in response to several abiotic and biotic factors. These models can be used to predict behavior of cells in event of various stresses depending on their time and exposure through activation of complex signaling cascades.
Keywords	MAPKs, Modeling, Simulation, Abiotic, Biotic, CellDesigner, SBMLsqueezer, System Biology
Citation	*Pathak et al.* Bioinformation 9(9): 443-449 (2013)
Edited by	P Kangueane
ISSN	0973-2063
Publisher	Biomedical Informatics
Copyright	Publisher
Copyright Transfer Agreement	The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.
License	This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.