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• W4225556449 startingPage "265" @default.
• W4225556449 abstract "Prokaryotic transcription factors can be repurposed as analytical and synthetic tools for precise chemical measurement and regulation. Monoterpenes encompass a broad chemical family that are commercially valuable as flavors, cosmetics, and fragrances, but have proven difficult to measure, especially in cells. Herein, we develop genetically encoded, generalist monoterpene biosensors by using directed evolution to expand the effector specificity of the camphor-responsive TetR-family regulator CamR from Pseudomonas putida. Using a novel negative selection coupled with a high-throughput positive screen (Seamless Enrichment of Ligand-Inducible Sensors, SELIS), we evolve CamR biosensors that can recognize four distinct monoterpenes: borneol, fenchol, eucalyptol, and camphene. Different evolutionary trajectories surprisingly yielded common mutations, emphasizing the utility of CamR as a platform for creating generalist biosensors. Systematic promoter optimization driving the reporter increased the system's signal-to-noise ratio to 150-fold. These sensors can serve as a starting point for the high-throughput screening and dynamic regulation of bicyclic monoterpene production strains." @default.
• W4225556449 created "2022-05-05" @default.
• W4225556449 creator A5017618141 @default.
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• W4225556449 date "2022-01-05" @default.
• W4225556449 modified "2023-10-11" @default.
• W4225556449 title "Evolving a Generalist Biosensor for Bicyclic Monoterpenes" @default.
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• W4225556449 doi "https://doi.org/10.1021/acssynbio.1c00402" @default.
• W4225556449 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34985281" @default.
• W4225556449 hasPublicationYear "2022" @default.
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