Genetic Circuit-Host Ribosome Transactions: Diffusion-Reaction Model | IEEE Conference Publication | IEEE Xplore

Genetic Circuit-Host Ribosome Transactions: Diffusion-Reaction Model


Abstract:

Deterministic models of bacterial genetic circuits commonly assume a well-mixed ensemble of species. This assumption results in ordinary differential equations (ODEs) des...Show More

Abstract:

Deterministic models of bacterial genetic circuits commonly assume a well-mixed ensemble of species. This assumption results in ordinary differential equations (ODEs) describing the rate of change of the mean species concentration. It is however well known that species are non-homogenously distributed within a bacterial cell, where genes on the chromosome are found mostly at the center of the cell while synthetic genes residing on plasmids are often found at the poles. Most importantly, ribosomes, the key gene expression resource, are also arranged according to a non-homogenous profile. Therefore, when analyzing the effects of sharing gene expression resources, such as ribosomes, among synthetic genetic circuits and chromosomal genes, it may be important to consider the effects of spatial heterogeneity of the relevant species. In this paper, we use a partial differential equation (PDE) model to capture the spatial heterogeneity of species concentration. Solutions to the model are gathered numerically and approximations are derived via perturbation analysis in the limit of fast diffusion. The solutions are compared to those of the conventional “well-mixed” ODE model. The fast-diffusion approximation predicts higher protein production rates for all mRNAs in the cell and in some cases, these rates are more sensitive to the activation of synthetic genes relative to the well-mixed model. This trend is confirmed numerically using common biological parameters to simulate the full PDE system.
Date of Conference: 10-12 July 2019
Date Added to IEEE Xplore: 29 August 2019
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Conference Location: Philadelphia, PA, USA

I. Introduction and Motivation

Synthetic genetic circuits are usually designed by assembling modules that have been previously characterized in isolation [1]. Because circuit modules all share the same limited resources required for gene expression, chiefly ribosomes' the composition of modules often creates unpredictable outcomes. In fact, when an input signal activates a synthetic circuit which demands resources, it depletes the resource pool and thus decreases the output of all other circuits in the network. This undesired cross-talk between circuits, prevents robust performance of modules and of the network in which these modules are embedded. In [2], it was shown that the expression levels of two synthetic genes with no direct coupling were constrained to an isocost line due to ribosome sharing. This cross-talk is not limited to local interactions; over-producing synthetic proteins decreases free ribosomes and thus lowers cellular growth rates [3].

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