Computational Morphodynamics: A Modeling Framework to Understand Plant Growth
- 2 June 2010
- journal article
- review article
- Published by Annual Reviews in Annual Review of Plant Biology
- Vol. 61 (1), 65-87
- https://doi.org/10.1146/annurev-arplant-042809-112213
Abstract
Computational morphodynamics utilizes computer modeling to understand the development of living organisms over space and time. Results from biological experiments are used to construct accurate and predictive models of growth. These models are then used to make novel predictions that provide further insight into the processes involved, which can be tested experimentally to either confirm or rule out the validity of the computational models. This review highlights two fundamental challenges: (a) to understand the feedback between mechanics of growth and chemical or molecular signaling, and (b) to design models that span and integrate single cell behavior with tissue development. We review different approaches to model plant growth and discuss a variety of model types that can be implemented to demonstrate how the interplay between computational modeling and experimentation can be used to explore the morphodynamics of plant development.Keywords
This publication has 123 references indexed in Scilit:
- Turning a plant tissue into a living cell froth through isotropic growthProceedings of the National Academy of Sciences of the United States of America, 2009
- Nature, Nurture, or Chance: Stochastic Gene Expression and Its ConsequencesCell, 2008
- Robust single-particle tracking in live-cell time-lapse sequencesNature Methods, 2008
- Cell population tracking and lineage construction with spatiotemporal contextMedical Image Analysis, 2008
- OpenAlea: a visual programming and component-based software platform for plant modellingFunctional Plant Biology, 2008
- A constant production hypothesis guides leaf venation patterningProceedings of the National Academy of Sciences of the United States of America, 2006
- A model of the ethylene signaling pathway and its gene response in Arabidopsis thaliana: Pathway cross-talk and noise-filtering propertiesChaos: An Interdisciplinary Journal of Nonlinear Science, 2006
- Experimental validation of a predicted feedback loop in the multi‐oscillator clock of Arabidopsis thalianaMolecular Systems Biology, 2006
- A novel computational model of the circadian clock in Arabidopsis that incorporates PRR7 and PRR9Molecular Systems Biology, 2006
- Stochasticity in gene expression: from theories to phenotypesNature Reviews Genetics, 2005