Abstract

In this article, we study the coupling of a collection of molecular oscillators, called repressilators, interacting indirectly through enzymatic saturation. We extended a measure of autocorrelation to identify the period of the whole system and to detect coupling behaviors. We explored the parameter space of concentrations of molecular species in each oscillator versus enzymatic saturation, and observed regions of uncoupled, partially, or fully coupled systems. In particular, we found a region that provided a sharp transition between no coupling, two coupled oscillators, and full coupling. In practical applications, signals from the environment can directly affect parameters such as local enzymatic saturation, and thus switch the system from a coupled to an uncoupled regime and vice-versa. Our parameter exploration can be used to guide the design of complex molecular systems, such as active materials or molecular robot controllers.

Highlights

  • Identical replicates of repressilators are localized in different cells and communicate through the diffusion of molecular species through the membrane

  • We showed that indirect interaction through competition for enzymes between independent molecular oscillator could lead to their synchronization, as long as their impact on enzymes are similar

  • An interesting phenomenon arises when the activation mechanism of a weaker oscillator is prevented by the saturation of enzymes by the stronger ones, leading to a sharp transition to an almost doubled period

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Summary

Introduction

The effect of direct coupling between repressilators through communication modules has been studied previously [13], and can lead to partial synchronization or even chaos [7] In such cases, identical replicates of repressilators are localized in different cells and communicate through the diffusion of molecular species through the membrane. Such coupling can be tuned over time, as it will depend on the saturation level and activity of the enzymes, and it can be used as a control mechanism for the system[17].

Method
Simulation
Measure of period and synchronization
Result
Conclusions
Full Text
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