Abstract

The formation of spatiotemporal patterns of gene expression is frequently guided by gradients of diffusible signaling molecules. The toggle switch subnetwork, composed of two cross‐repressing transcription factors, is a common component of gene regulatory networks in charge of patterning, converting the continuous information provided by the gradient into discrete abutting stripes of gene expression. We present a synthetic biology framework to understand and characterize the spatiotemporal patterning properties of the toggle switch. To this end, we built a synthetic toggle switch controllable by diffusible molecules in Escherichia coli. We analyzed the patterning capabilities of the circuit by combining quantitative measurements with a mathematical reconstruction of the underlying dynamical system. The toggle switch can produce robust patterns with sharp boundaries, governed by bistability and hysteresis. We further demonstrate how the hysteresis, position, timing, and precision of the boundary can be controlled, highlighting the dynamical flexibility of the circuit.

Highlights

  • Synthetic biology aims to engineer living organisms with standardized and modular circuits that perform their functions in a programmable and predictable way (Brophy and Voigt, 2014, Cameron et al, 2014, Purcell and Lu, 2014)

  • TetR and mCherry are regulated by the hybrid pLuxLac promoter (BBa_I751502), which is activated by the LuxRAHL (N-(β-Ketocaproyl)-L-homoserine lactone) complex and repressed by LacI, whose repression strength can be regulated by isopropyl β-d-1-thiogalactopyranoside (IPTG)

  • In order to fully characterize the dynamical capabilities of the circuit, we described the network with a mathematical model composed of ordinary differential equations (ODE) capturing the concentration of all the chemical species over time

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Summary

Introduction

Synthetic biology aims to engineer living organisms with standardized and modular circuits that perform their functions in a programmable and predictable way (Brophy and Voigt, 2014, Cameron et al, 2014, Purcell and Lu, 2014). Pattern formation is achieved through a set of inter-connected gene regulatory programs encoding different non-linear responses to spatial chemical cues. This multiscale complexity makes the elucidation of the core principles of spatial patterning very challenging in living embryos, calling for alternative approaches capable of interrogating and comparing different pattern formation mechanisms. Synthetic pattern formation is an attractive technology for the engineering of living materials (Gilbert and Ellis, 2018, Nguyen et al, 2018, Moser et al, 2019, Cao et al, 2017) and tissues (Davies and Cachat, 2016, Healy and Deans, 2019, Webster et al, 2016)

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