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Computational Morphodynamics: A Modeling Framework to Understand Plant Growth

Chickarmane, Vijay and Roeder, Adrienne H. K. and Tarr, Paul T. and Cunha, Alexandre and Tobin, Cory and Meyerowitz, Elliot M. (2010) Computational Morphodynamics: A Modeling Framework to Understand Plant Growth. Annual Review of Plant Biology, 61 . pp. 65-87. ISSN 1543-5008. PMCID PMC4120954. https://resolver.caltech.edu/CaltechAUTHORS:20100308-075702634

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1146/annurev-arplant-042809-112213DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120954/PubMed CentralArticle
ORCID:
AuthorORCID
Cunha, Alexandre0000-0002-2541-6024
Meyerowitz, Elliot M.0000-0003-4798-5153
Additional Information:© 2010 by Annual Reviews. Review in Advance first posted online on February 1, 2010. (Changes may still occur before final publication online and in print.) Expected final online publication date for the Annual Review of Plant Biology Volume 61 is April 28, 2010. We thank Bruce Shapiro,Wuxing Li, Kaoru Sugimoto, Pawel Krupinski, and Eric Mjolsness for helpful discussion and comments. We thank Marcus Heisler for providing images. We also acknowledge funding from the Department of Energy (DE-FG02–88ER1387), the National Science Foundation (IOS-0846192), the National Institutes of Health (5R01GM086639), the Gordon and Betty Moore Foundation, and a gift from Peter Cross.We apologize to all those whose research we could not cite here owing to space limitations.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-FG02–88ER1387
NSFIOS-0846192
NIH5R01GM086639
Gordon and Betty Moore FoundationUNSPECIFIED
Subject Keywords:live imaging, image processing, finite element modeling, simulation, gene regulatory network, cell signaling
PubMed Central ID:PMC4120954
Record Number:CaltechAUTHORS:20100308-075702634
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20100308-075702634
Official Citation:Computational Morphodynamics: A Modeling Framework to Understand Plant Growth Vijay Chickarmane, Adrienne H.K. Roeder, Paul T. Tarr, Alexandre Cunha, Cory Tobin, Elliot M. Meyerowitz Annual Review of Plant Biology 2010 61
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:17684
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Mar 2010 22:51
Last Modified:30 Oct 2020 00:03

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