Simulation of regulatory strategies in a morphogen based model of Arabidopsis leaf growth

Simulation has become an important tool for studying plant physiology. An important aspect of this is discovering the processes that influence leaf growth at a cellular level. To this end, we have extended an existing, morphogen-based model for the growth of Arabidopsis leaves. We have fitted parameters to match important leaf growth properties reported in experimental data. A sensitivity analysis was performed, which allowed us to estimate the effect of these different parameters on leaf growth, and identify viable strategies for increasing leaf size. (C) 2017 The Authors. Published by Elsevier B.V. Peer -review under responsibility of the scientific committee of the International Conference on Computational Science

Publication year:2017

Keywords:P1 Proceeding

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Authors from:Higher Education

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