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

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 b...

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Bibliographic Details
Published in:Nature communications 2020-03, Vol.11 (1), p.1213-1213, Article 1213
Main Authors: Hanko, Erik K. R., Paiva, Ana C., Jonczyk, Magdalena, Abbott, Matthew, Minton, Nigel P., Malys, Naglis
Format: Article
Language:English
Subjects:
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Bacteria - genetics
Bacteria - metabolism
beta-Alanine - metabolism
Biosensing Techniques
Biosensors
Enzymes - metabolism
Gene expression
Gene Expression Regulation, Bacterial
Genetic code
Genome
Genomes
Host Specificity
Humanities and Social Sciences
Ligands
Metabolic Engineering
Metabolites
Metabolome - genetics
Microorganisms
multidisciplinary
Reproducibility of Results
Science
Science (multidisciplinary)
Sensors
Workflow
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Summary: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. Inducible gene expression tools have important applications as genetically encoded biosensors. Here the authors conduct a genome-wide approach to identify and utilise functional sensors.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-14941-6