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Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
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Modeling Plant Tissue Development Using VirtualLeaf.

Claudiu-Cristi Antonovici1,2, Guacimo Y Peerdeman1,2,3, Harold B Wolff4

  • 1Mathematical Institute, Leiden University, Leiden, The Netherlands.

Methods in Molecular Biology (Clifton, N.J.)
|November 25, 2021
PubMed
Summary
This summary is machine-generated.

This study presents VirtualLeaf, a practical guide for building cell-based simulations of plant development. It enables researchers to analyze how parameters influence outcomes, making computational modeling more accessible to plant biologists.

Keywords:
AuxinBiomechanicsCell divisionCell growthCell-based modelingComputational modelingMathematical modelingOrgan growthPlant developmentReaction–diffusionSystems biology

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Area of Science:

  • Plant Biology
  • Computational Biology
  • Developmental Biology

Background:

  • Cell-based computational modeling is crucial for understanding plant development.
  • These models simulate individual cell behaviors and interactions to predict tissue-level outcomes.
  • Existing tools can be complex for biologists with limited computational expertise.

Purpose of the Study:

  • To provide a practical, step-by-step tutorial for building and analyzing cell-based plant development simulations using VirtualLeaf.
  • To extend previous work by demonstrating new simulation capabilities and parameter analysis techniques.
  • To enhance accessibility of computational modeling for experimental plant biologists.

Main Methods:

  • Utilizing the VirtualLeaf software for cell-based simulations.
  • Developing models for growing tissues, reaction-diffusion systems on growing domains, and auxin transport.
  • Implementing Turing systems on rectangular lattices and performing parameter sweeps.
  • Systematically altering parameters and analyzing simulation outcomes.

Main Results:

  • Successful construction of models for growing tissues, reaction-diffusion systems, and auxin transport.
  • Demonstration of Turing pattern formation on a lattice and parameter sweep analysis.
  • Validation of VirtualLeaf's capability to simulate complex plant development processes.
  • The updated VirtualLeaf provides enhanced tools for parameter influence analysis.

Conclusions:

  • VirtualLeaf serves as an accessible platform for plant biologists to conduct computational modeling of plant development.
  • The software facilitates the analysis of parameter influences on simulation outcomes.
  • This work empowers researchers to explore plant development through simulation with greater ease.