4.3 Article

Coupling oscillations and switches in genetic networks

Journal

BIOSYSTEMS
Volume 99, Issue 1, Pages 60-69

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2009.08.009

Keywords

Limit-cycle oscillations; Hysteresis; Bistability; Switch; Coupling; Modular network

Funding

  1. Fonds de la Recherche Scientifique Medicale (F.R.S.M., Belgium) [3.4636.04]
  2. European Union [LSHB-CT-2004-005137]
  3. Belgian Federal Science Policy Office [P6/25]

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Switches (bistability) and oscillations (limit cycle) are omnipresent in biological networks. Synthetic genetic networks producing bistability and oscillations have been designed and constructed experimentally. However, in real biological systems, regulatory circuits are usually interconnected and the dynamics of those complex networks is often richer than the dynamics of simple modules. Here we couple the genetic Toggle switch and the Repressilator, two prototypic systems exhibiting bistability and oscillations, respectively. We study two types of coupling. In the first type, the bistable switch is under the control of the oscillator. Numerical simulation of this system allows us to determine the conditions under which a periodic switch between the two stable steady states of the Toggle switch occurs. In addition we show how birhythmicity characterized by the coexistence of two stable small-amplitude limit cycles, can easily be obtained in the system. In the second type of coupling, the oscillator is placed under the control of the Toggle switch. Numerical simulation of this system shows that this construction could for example be exploited to generate a permanent transition from a stable steady state to self-sustained oscillations (and vice versa) after a transient external perturbation. Those results thus describe qualitative dynamical behaviors that can be generated through the coupling of two simple network modules. These results differ from the dynamical properties resulting from interlocked feedback loops systems in which a given variable is involved at the same time in both positive and negative feedbacks. Finally the models described here may be of interest in synthetic biology, as they give hints on how the coupling should be designed to get the required properties. (C) 2009 Elsevier Ireland Ltd. All rights reserved.

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