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Updated: May 6, 2026

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Using cellzilla for plant growth simulations at the cellular level.

Bruce E Shapiro1, Elliot M Meyerowitz, Eric Mjolsness

  • 1Department of Mathematics, California State University Northridge, CA, USA ; Biological Network Modeling Center, Caltech Pasadena, CA, USA.

Frontiers in Plant Science
|October 19, 2013
PubMed
Summary
This summary is machine-generated.

Cellzilla is a novel 2D plant tissue simulation platform. It models cell growth, division, and intercellular interactions using Cellerator notation for biochemical reactions, enabling dynamic plant modeling.

Keywords:
celleratorcellzillaclavatacomputational modelmathematical modelmeristemsoftwarewuschel

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Area of Science:

  • Computational Biology
  • Plant Science
  • Biophysics

Background:

  • Accurate plant tissue modeling requires robust simulation platforms.
  • Biochemical interactions and cell dynamics are key to plant development.

Purpose of the Study:

  • To introduce Cellzilla, a 2D plant tissue simulation platform.
  • To enable modeling of cell growth, division, and intercellular communication.

Main Methods:

  • Utilizes Cellerator notation for biochemical reactions, translated to differential equations.
  • Represents cells as polygonal meshes with well-mixed compartments.
  • Simulations support static (fixed size/shape) and dynamic (growth) modes.

Main Results:

  • Cell growth is controlled by Hookean springs and pressure forces.
  • Cell division is triggered by constituent thresholds.
  • New cell wall orientation is determined by established rules or a potential model.

Conclusions:

  • Cellzilla provides a flexible platform for simulating plant tissue dynamics.
  • The model integrates biochemical reactions, cell mechanics, and division processes.
  • Enables detailed investigation into plant morphogenesis and development.