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Using cellzilla for plant growth simulations at the cellular level

Cellzilla is a two-dimensional tissue simulation platform for plant modeling utilizing Cellerator arrows. Cellerator describes biochemical interactions with a simplified arrow-based notation; all interactions are input as reactions and are automatically translated to the appropriate differential equ...

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Detalles Bibliográficos
Autores principales: Shapiro, Bruce E., Meyerowitz, Elliot M., Mjolsness, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797531/
https://www.ncbi.nlm.nih.gov/pubmed/24137172
http://dx.doi.org/10.3389/fpls.2013.00408
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author Shapiro, Bruce E.
Meyerowitz, Elliot M.
Mjolsness, Eric
author_facet Shapiro, Bruce E.
Meyerowitz, Elliot M.
Mjolsness, Eric
author_sort Shapiro, Bruce E.
collection PubMed
description Cellzilla is a two-dimensional tissue simulation platform for plant modeling utilizing Cellerator arrows. Cellerator describes biochemical interactions with a simplified arrow-based notation; all interactions are input as reactions and are automatically translated to the appropriate differential equations using a computer algebra system. Cells are represented by a polygonal mesh of well-mixed compartments. Cell constituents can interact intercellularly via Cellerator reactions utilizing diffusion, transport, and action at a distance, as well as amongst themselves within a cell. The mesh data structure consists of vertices, edges (vertex pairs), and cells (and optional intercellular wall compartments) as ordered collections of edges. Simulations may be either static, in which cell constituents change with time but cell size and shape remain fixed; or dynamic, where cells can also grow. Growth is controlled by Hookean springs associated with each mesh edge and an outward pointing pressure force. Spring rest length grows at a rate proportional to the extension beyond equilibrium. Cell division occurs when a specified constituent (or cell mass) passes a (random, normally distributed) threshold. The orientation of new cell walls is determined either by Errera's rule, or by a potential model that weighs contributions due to equalizing daughter areas, minimizing wall length, alignment perpendicular to cell extension, and alignment perpendicular to actual growth direction.
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spelling pubmed-37975312013-10-17 Using cellzilla for plant growth simulations at the cellular level Shapiro, Bruce E. Meyerowitz, Elliot M. Mjolsness, Eric Front Plant Sci Plant Science Cellzilla is a two-dimensional tissue simulation platform for plant modeling utilizing Cellerator arrows. Cellerator describes biochemical interactions with a simplified arrow-based notation; all interactions are input as reactions and are automatically translated to the appropriate differential equations using a computer algebra system. Cells are represented by a polygonal mesh of well-mixed compartments. Cell constituents can interact intercellularly via Cellerator reactions utilizing diffusion, transport, and action at a distance, as well as amongst themselves within a cell. The mesh data structure consists of vertices, edges (vertex pairs), and cells (and optional intercellular wall compartments) as ordered collections of edges. Simulations may be either static, in which cell constituents change with time but cell size and shape remain fixed; or dynamic, where cells can also grow. Growth is controlled by Hookean springs associated with each mesh edge and an outward pointing pressure force. Spring rest length grows at a rate proportional to the extension beyond equilibrium. Cell division occurs when a specified constituent (or cell mass) passes a (random, normally distributed) threshold. The orientation of new cell walls is determined either by Errera's rule, or by a potential model that weighs contributions due to equalizing daughter areas, minimizing wall length, alignment perpendicular to cell extension, and alignment perpendicular to actual growth direction. Frontiers Media S.A. 2013-10-16 /pmc/articles/PMC3797531/ /pubmed/24137172 http://dx.doi.org/10.3389/fpls.2013.00408 Text en Copyright © 2013 Shapiro, Meyerowitz and Mjolsness. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Shapiro, Bruce E.
Meyerowitz, Elliot M.
Mjolsness, Eric
Using cellzilla for plant growth simulations at the cellular level
title Using cellzilla for plant growth simulations at the cellular level
title_full Using cellzilla for plant growth simulations at the cellular level
title_fullStr Using cellzilla for plant growth simulations at the cellular level
title_full_unstemmed Using cellzilla for plant growth simulations at the cellular level
title_short Using cellzilla for plant growth simulations at the cellular level
title_sort using cellzilla for plant growth simulations at the cellular level
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797531/
https://www.ncbi.nlm.nih.gov/pubmed/24137172
http://dx.doi.org/10.3389/fpls.2013.00408
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