Oscillations and Bifurcation Structure of Reaction-Diffusion Model for Cell Polarity Formation
Masataka Kuwamura, Hirofumi Izuhara, Shin-ichiro Ei
TL;DR
This work analyzes a mass-conserving reaction-diffusion model with bistable nonlinearity to understand cell polarity formation. It combines analytical reductions and numerical bifurcation analysis to identify four spatiotemporal patterns, including two polarity-oscillation modes arising from a diffusion-driven instability, and shows how weak extracellular signals can steer pattern location and dynamics. A concrete localized unimodal stationary pattern is derived in closed form, and Hopf and period-doubling bifurcations are shown to govern the emergence and evolution of oscillations. The results offer a minimal, parameter-robust framework linking wave-pinning, pattern formation, and extracellular control in cell polarity, with implications for interpreting more realistic molecular networks.
Abstract
We investigate the oscillatory dynamics and bifurcation structure of a reaction-diffusion system with bistable nonlinearity and mass conservation, which was proposed by [Otsuji et al, PLoS Comp. Biol. 3 (2007), e108]. The system is a useful model for understanding cell polarity formation. We show that this model exhibits four different spatiotemporal patterns including two types of oscillatory patterns, which can be regarded as cell polarity oscillations with the reversal and non-reversal of polarity, respectively. The trigger causing these patterns is a diffusion-driven (Turing-like) instability. Moreover, we investigate the effects of extracellular signals on the cell polarity oscillations.
