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Engineering Tunable, Low Latency Spatial Computation with Dual Input Quorum Sensing Promoters.

Jure Tica¹, Haobin Chen¹, Shulei Luo¹

¹Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.

ACS Synthetic Biology

|May 23, 2024

Summary

This summary is machine-generated.

We characterized quorum sensing signal diffusion and engineered novel genetic components. This enables more robust and tunable spatial pattern formation in synthetic biology systems.

Keywords:

engineering intercellular signaling genetic circuits mathematical modeling spatial synthetic biology

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Area of Science:

Synthetic biology
Microbiology
Biochemistry

Background:

Quorum sensing (QS) is crucial for bacterial community communication.
QS signals are valuable for engineering synthetic cell-cell communication.
Understanding QS signal diffusion is key for designing spatial genetic systems.

Purpose of the Study:

To characterize the diffusion dynamics of various quorum sensing signals in agar.
To engineer novel dual- and multi-input promoters responsive to QS signals.
To develop improved spatial pattern-forming systems in synthetic biology.

Main Methods:

Quantified spatial diffusion of QS signals in agar matrices.
Developed a power-law model predicting diffusion based on molecular weight.
Engineered a versatile promoter scaffold for multi-input control.
Integrated diffusion data and genetic components to build spatial systems.

Main Results:

QS signal diffusion in agar follows a power law predictable by molecular weight.
Novel promoters were engineered for simultaneous activation/repression by multiple QS signals.
New spatial, stripe-forming systems demonstrated enhanced robustness, tuneability, and faster response times.

Conclusions:

The diffusion of QS signals can be accurately predicted, simplifying system design.
Engineered promoters offer precise control over synthetic gene expression in response to QS signals.
This work advances the development of sophisticated spatial patterning in synthetic biology.