title: Modeling plant development: from signals to gene networks.
abstract: Mathematical modeling has become a common tool in plant developmental biology. Indeed, it allows for the prediction of complex and often unintuitive dynamics of the molecular networks driving plant development. This has enabled the test of their possible involvement in robust and specific developmental processes. Modeling has also been fruitful in predicting new interactions within gene networks, such as the Arabidopsis circadian clock. A new challenge is to integrate patterning issues with tissue growth and biomechanics. The development of new tools to gain resolution in data collection as well as new frameworks to confront models and data might provide even more robust predictions.
authors.affiliation: Laboratoire de Reproduction et Développement des Plantes, CNRS, INRA, ENS Lyon, UCBL, Université de Lyon, 46 Allée d'Italie, 69364 Lyon Cedex 07, France.
authors.forename: Cyril
authors.initials: C
authors.lastname: Lavedrine
authors.affiliation: School of Mathematical Sciences & Centre for Plant Integrative Biology, University of Nottingham, NG7 2RD, United Kingdom. Electronic address: etienne.farcot@inria.fr.
authors.forename: Etienne
authors.initials: E
authors.lastname: Farcot
authors.affiliation: Laboratoire de Reproduction et Développement des Plantes, CNRS, INRA, ENS Lyon, UCBL, Université de Lyon, 46 Allée d'Italie, 69364 Lyon Cedex 07, France. Electronic address: teva.vernoux@ens-lyon.fr.
authors.forename: Teva
authors.initials: T
authors.lastname: Vernoux
mesh_terms: D053263:Gene Regulatory Networks; D008954:Models, Biological; D063245:Plant Development; D015398:Signal Transduction