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Computational models of plant development and form
Author(s) -
Prusinkiewicz Przemyslaw,
Runions Adam
Publication year - 2012
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/j.1469-8137.2011.04009.x
Subject(s) - computational model , phyllotaxis , domain (mathematical analysis) , plant development , computer science , mathematical model , morphogenesis , focus (optics) , biology , data science , artificial intelligence , mathematics , botany , meristem , physics , shoot , gene , optics , mathematical analysis , biochemistry , statistics
Summary The use of computational techniques increasingly permeates developmental biology, from the acquisition, processing and analysis of experimental data to the construction of models of organisms. Specifically, models help to untangle the non‐intuitive relations between local morphogenetic processes and global patterns and forms. We survey the modeling techniques and selected models that are designed to elucidate plant development in mechanistic terms, with an emphasis on: the history of mathematical and computational approaches to developmental plant biology; the key objectives and methodological aspects of model construction; the diverse mathematical and computational methods related to plant modeling; and the essence of two classes of models, which approach plant morphogenesis from the geometric and molecular perspectives. In the geometric domain, we review models of cell division patterns, phyllotaxis, the form and vascular patterns of leaves, and branching patterns. In the molecular‐level domain, we focus on the currently most extensively developed theme: the role of auxin in plant morphogenesis. The review is addressed to both biologists and computational modelers.ContentsSummary 549 I. A brief history of plant models 549 II. Modeling as a methodology 550 III. Mathematics of developmental models 551 IV. Geometric models of morphogenesis 555 V. Molecular‐level models 560 VI. Conclusions 564Acknowledgements 564References 565

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