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    Mathematical Modelling Plant Signalling Networks

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    Type
    Article
    Authors
    Muraro, D.
    Byrne, H.M.
    King, J.R.
    Bennett, M.J.
    KAUST Grant Number
    KUK-013-04
    Date
    2013-07-10
    Online Publication Date
    2013-07-10
    Print Publication Date
    2013
    Permanent link to this record
    http://hdl.handle.net/10754/598774
    
    Metadata
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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 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.
    Sponsors
    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
    ae974a485f413a2113503eed53cd6c53
    10.1051/mmnp/20138402
    Scopus Count
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