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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
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