| Literature DB >> 28247120 |
Daljit Singh J Dhillon1,2, Michel C Milinkovitch3,4, Matthias Zwicker5.
Abstract
In this paper, we present computational techniques to investigate the effect of surface geometry on biological pattern formation. In particular, we study two-component, nonlinear reaction-diffusion (RD) systems on arbitrary surfaces. We build on standard techniques for linear and nonlinear analysis of RD systems and extend them to operate on large-scale meshes for arbitrary surfaces. In particular, we use spectral techniques for a linear stability analysis to characterise and directly compose patterns emerging from homogeneities. We develop an implementation using surface finite element methods and a numerical eigenanalysis of the Laplace-Beltrami operator on surface meshes. In addition, we describe a technique to explore solutions of the nonlinear RD equations using numerical continuation. Here, we present a multiresolution approach that allows us to trace solution branches of the nonlinear equations efficiently even for large-scale meshes. Finally, we demonstrate the working of our framework for two RD systems with applications in biological pattern formation: a Brusselator model that has been used to model pattern development on growing plant tips, and a chemotactic model for the formation of skin pigmentation patterns. While these models have been used previously on simple geometries, our framework allows us to study the impact of arbitrary geometries on emerging patterns.Entities:
Keywords: Bifurcation analysis; Branch tracing; Cross-diffusion; Large-scale systems; Linear stability analysis; Marginal stability analysis; Multigrid approach; Nonlinear PDEs; Pattern formation; Reaction diffusion; Surface FEMs
Mesh:
Year: 2017 PMID: 28247120 DOI: 10.1007/s11538-017-0255-8
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758