Bistability and chaos in the discrete two-gene Andrecut-Kauffman model

Abstract

We conduct numerical analysis of the 2-dimensional discrete-time gene expression model originally introduced by Andrecut and Kauffman (Phys. Lett. A 367: 281-287, 2007). In contrast to the previous studies, we analyze the dynamics with different reaction rates ${\alpha }_1$ and ${\alpha }_2$ for each of the two genes under consideration. We explore bifurcation diagrams for the model with ${\alpha }_1$ varying in a wide range and ${\alpha }_2$ fixed. We detect chaotic dynamics by means of the positive maximum Lyapunov exponent and we scan through selected parameters to detect those combinations for which chaotic dynamics can be found in the model. Moreover, we find bistability in the model, that is, the existence of two disjoint attractors. Both situations are interesting from the point of view of applications, as they imply unpredictability of the dynamics encountered. Finally, we show some specific values of parameters of the model in which the two attractors are of different kind (a periodic orbit and a chaotic attractor) or of the same kind (two periodic orbits or two chaotic attractors).

20 pages, 11 figures

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• Mean Field Model of Genetic Regulatory Networks
• An absorbing set for the Chialvo map
• Justification of quasi-stationary approximation in models of gene expression of a self-regulating protein