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Published October 2013 | Published
Journal Article Open

Using cellzilla for plant growth simulations at the cellular level

Abstract

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.

Additional Information

© 2013 Shapiro, Meyerowitz and Mjolsness. 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. Received: 31 May 2013; Accepted: 26 September 2013; Published online: 16 October 2013. We would like to thank Sergey Nikolaev for valuable suggestions. This work was supported by grants from the Beckman Institute, the Division of Biology, and the Provost's Office at Caltech; a gift from Peter Cross to Caltech; by the Howard Hughes Medical Institute and the Gordon and Betty Moore Foundation (through Grant GBMF3406) to Elliot M. Meyerowitz; and by NIH Grant R01 GM086883 to Eric D. Mjolsness at UCI.

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August 19, 2023
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October 25, 2023