Handle URI:
http://hdl.handle.net/10754/598774
Title:
Mathematical Modelling Plant Signalling Networks
Authors:
Muraro, D.; Byrne, H.M.; King, J.R.; Bennett, M.J.
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.
Publisher:
EDP Sciences
Journal:
Mathematical Modelling of Natural Phenomena
KAUST Grant Number:
KUK-013-04
Issue Date:
2013
DOI:
10.1051/mmnp/20138402
Type:
Article
ISSN:
0973-5348; 1760-6101
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).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorMuraro, D.en
dc.contributor.authorByrne, H.M.en
dc.contributor.authorKing, J.R.en
dc.contributor.authorBennett, M.J.en
dc.date.accessioned2016-02-25T13:40:58Zen
dc.date.available2016-02-25T13:40:58Zen
dc.date.issued2013en
dc.identifier.citationMuraro 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.en
dc.identifier.issn0973-5348en
dc.identifier.issn1760-6101en
dc.identifier.doi10.1051/mmnp/20138402en
dc.identifier.urihttp://hdl.handle.net/10754/598774en
dc.description.abstractDuring 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.en
dc.description.sponsorshipWe 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).en
dc.publisherEDP Sciencesen
dc.subjectArabidopsis thalianaen
dc.subjectMathematical modellingen
dc.subjectSignalling networksen
dc.titleMathematical Modelling Plant Signalling Networksen
dc.typeArticleen
dc.identifier.journalMathematical Modelling of Natural Phenomenaen
dc.contributor.institutionUniversity of Nottingham, Nottingham, United Kingdomen
dc.contributor.institutionWeatherall Institute of Molecular Medicine, Oxford, United Kingdomen
dc.contributor.institutionUniversity of Oxford, Oxford, United Kingdomen
kaust.grant.numberKUK-013-04en
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