title: Development of biosensors and their application in metabolic engineering.
abstract: In a sustainable bioeconomy, many commodities and high value chemicals, including pharmaceuticals, will be manufactured using microbial cell factories from renewable feedstocks. These cell factories can be efficiently generated by constructing libraries of diversified genomes followed by screening for the desired phenotypes. However, methods available for microbial genome diversification far exceed our ability to screen and select for those variants with optimal performance. Genetically encoded biosensors have shown the potential to address this gap, given their ability to respond to small molecule binding and ease of implementation with high-throughput analysis. Here we describe recent progress in biosensor development and their applications in a metabolic engineering context. We also highlight examples of how biosensors can be integrated with synthetic circuits to exert feedback regulation on the metabolism for improved performance of cell factories.
authors.affiliation: The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark.
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.affiliation: The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark.
authors.forename: Michael K
authors.initials: MK
authors.lastname: Jensen
authors.affiliation: The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark; Joint BioEnergy Institute, Emeryville, CA, USA; Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA; Department of Bioengineering, University of California, Berkeley, CA, USA. Electronic address: jdkeasling@lbl.gov.
authors.forename: Jay D
authors.initials: JD
authors.lastname: Keasling
mesh_terms: D000818:Animals; D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods*; D004867:Equipment Design; D031541:Fluorescence Resonance Energy Transfer / Q000295:instrumentation / Q000379:methods; D006801:Humans; D060847:Metabolic Engineering / Q000295:instrumentation / Q000379:methods*; D058928:Riboswitch; D058615:Synthetic Biology / Q000295:instrumentation / Q000379:methods; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism
chemical_list: D058928:Riboswitch; D014157:Transcription Factors