Mathematical Modelling Plant Signalling Networks

Type
Article

Authors
Muraro, D.
Byrne, H.M.
King, J.R.
Bennett, M.J.

KAUST Grant Number
KUK-013-04

Online Publication Date
2013-07-10

Print Publication Date
2013

Date
2013-07-10

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 mathematical analysis of sub-cellular molecular mechanisms paves the way for more comprehensive modelling studies of hormonal transport and signalling in a multi-scale setting. © EDP Sciences, 2013.

Citation
Muraro D, Byrne HM, King JR, Bennett MJ (2013) Mathematical Modelling Plant Signalling Networks. Math Model Nat Phenom 8: 5–24. Available: http://dx.doi.org/10.1051/mmnp/20138402.

Acknowledgements
We gratefully acknowledge the Biotechnology and Biological Research Council and the Engineering and Sciences Research Council for financial support as part of the CISB programme award to CPIB. The work of the second author was supported in part by Award No. KUK-013-04, made by King Abdullah University of Science and Technology (KAUST).

Publisher
EDP Sciences

Journal
Mathematical Modelling of Natural Phenomena

DOI
10.1051/mmnp/20138402

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