A genome-wide approach for identification and characterisation of metabolite-inducible systems.

Nature Communications
Erik K R HankoNaglis Malys

Abstract

Inducible gene expression systems are vital tools for the advancement of synthetic biology. Their application as genetically encoded biosensors has the potential to contribute to diagnostics and to revolutionise the field of microbial cell factory development. Currently, the number of compounds of biological interest by far exceeds the number of available biosensors. Here, we address this limitation by developing a generic genome-wide approach to identify transcription factor-based inducible gene expression systems. We construct and validate 15 functional biosensors, provide a characterisation workflow to facilitate forward engineering efforts, exemplify their broad-host-range applicability, and demonstrate their utility in enzyme screening. Previously uncharacterised interactions between sensors and compounds of biological relevance are identified by employing the largest reported library of metabolite-responsive biosensors in an automated high-throughput screen. With the rapidly growing genomic data these innovative capabilities offer a platform to vastly increase the number of biologically detectable molecules.

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Citations

Sep 19, 2020·Luminescence : the Journal of Biological and Chemical Luminescence·Antonia LopresideElisa Michelini
Aug 23, 2020·Current Opinion in Microbiology·Tanmay TannaRandall J Platt
Jan 23, 2021·Trends in Plant Science·Jhon Venegas-MolinaAlain Goossens
Jun 18, 2021·Cell Systems·Mojca Mattiazzi UsajBrenda J Andrews
Aug 21, 2021·Critical Reviews in Biotechnology·Ernesta AugustinieneNaglis Malys

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Methods Mentioned

BETA
biosensors
biosensor
flow cytometry
PCR

Software Mentioned

Kaluza
SAMI EX
GraphPad Prism

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