The Mathematical Institute, University of Oxford, Eprints Archive

Mathematical modelling plant signalling networks

Muraro, D. and Byrne, H. M. and King, J. R. and Bennett, M. J. (2012) Mathematical modelling plant signalling networks. Mathematical Modelling of Natural Phenomena . (Submitted)

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Abstract

During the last two decades, molecular genetic studies and the completion of the sequencing of the Arabidopsis thaliana genome have increased knowledge of hormonal regulation in plants. These signal transduction pathways act in concert through gene regulatory and signalling networks whose main components have begun to be elucidated. Our understanding of the resulting cellular processes is hindered by the complex, and sometimes counter-intuitive, dynamics of the networks, which may be interconnected through feedback controls and cross-regulation. Mathematical modelling provides a valuable tool to investigate such dynamics and to perform in silico experiments that may not be easily carried out in a laboratory. In this article, we firstly review general methods for modelling gene and signalling networks and their application in plants. We then describe specific models of hormonal perception and cross-talk in plants. This sub-cellular analysis paves the way for more comprehensive mathematical studies of hormonal transport and signalling in a multi-scale setting.

Item Type:Article
Subjects:D - G > General
Research Groups:Oxford Centre for Collaborative Applied Mathematics
ID Code:1566
Deposited By:Peter Hudston
Deposited On:26 Jul 2012 09:16
Last Modified:26 Jul 2012 09:16

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