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Algorithm for a particle-based growth model for plant tissues.

ABSTRACT: We have developed an algorithm for a particle-based model for the growth of plant tissues in three dimensions in which each cell is represented by a single particle, and connecting cell walls are represented as permanent bonds between particles. A sample of plant tissue is represented by a fixed network of bonded particles. If, and only if a cell divides, this network is updated locally. The update algorithm is implemented in a model where cell growth and division gives rise to forces between the cells, which are relaxed in steepest descent minimization. The same forces generate a pressure inside the cells, which moderates growth. The local nature of the algorithm makes it efficient computationally, so the model can deal with a large number of cells. We used the model to study the growth of plant tissues for a variety of model parameters, to show the viability of the algorithm.

SUBMITTER: van Opheusden JHJ

PROVIDER: S-EPMC6281936 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Algorithm for a particle-based growth model for plant tissues.

van Opheusden Joost H J JHJ Molenaar Jaap J

Royal Society open science 20181128 11

We have developed an algorithm for a particle-based model for the growth of plant tissues in three dimensions in which each cell is represented by a single particle, and connecting cell walls are represented as permanent bonds between particles. A sample of plant tissue is represented by a fixed network of bonded particles. If, and only if a cell divides, this network is updated locally. The update algorithm is implemented in a model where cell growth and division gives rise to forces between th ...[more]

PMID: 30564405

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Dataset Information

Algorithm for a particle-based growth model for plant tissues.

Publications

Algorithm for a particle-based growth model for plant tissues.

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