Statistical Properties of Cell Topology and Geometry in a Tissue-Growth Model

  • Patrik Sahlin
  • Olivier Hamant
  • Henrik Jönsson
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 4)

Abstract

Statistical properties of cell topologies in two-dimensional tissues have recently been suggested to be a consequence of cell divisions. Different rules for the positioning of new walls in plants have been proposed, where e.g. Errara’s rule state that new walls are added with the shortest possible path dividing the mother cell’s volume into two equal parts. Here, we show that for an isotropically growing tissue Errara’s rule results in the correct distributions of number of cell neighbors as well as cellular geometries, in contrast to a random division rule. Further we show that wall mechanics constrain the isotropic growth such that the resulting cell shape distributions more closely agree with experimental data extracted from the shoot apex of Arabidopsis thaliana.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2009

Authors and Affiliations

  • Patrik Sahlin
    • 1
  • Olivier Hamant
    • 2
  • Henrik Jönsson
    • 1
  1. 1.Computational Biology & Biological Physics, Department of Theoretical PhysicsLund UniversityLundSweden
  2. 2.INRA, CNRS, ENSUniversité de LyonLyon Cedex 07France

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