The Growth Dependent Design Constraints of Transcription-Factor-Based Metabolite Biosensors.

ABSTRACT: Metabolite biosensors based on metabolite-responsive transcription factors are key synthetic biology components for sensing and precisely controlling cellular metabolism. Biosensors are often designed under laboratory conditions but are deployed in applications where cellular growth rate differs drastically from its initial characterization. Here we asked how growth rate impacts the minimum and maximum biosensor outputs and the dynamic range, which are key metrics of biosensor performance. Using LacI, TetR, and FadR-based biosensors in Escherichia coli as models, we find that the dynamic range of different biosensors have different growth rate dependencies. We developed a kinetic model to explore how tuning biosensor parameters impact the dynamic range growth rate dependence. Our mo

SUBMITTER: Hartline CJ 

PROVIDER: S-EPMC9994378 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature