Macrolide Biosensor Optimization through Cellular Substrate Sequestration

ACS Synth Biol. 2021 Feb 19;10(2):258-264. doi: 10.1021/acssynbio.0c00572. Epub 2021 Feb 8.

Abstract

Developing and optimizing small-molecule biosensors is a central goal of synthetic biology. Here we incorporate additional cellular components to improve biosensor sensitivity by preventing target molecules from diffusing out of cells. We demonstrate that trapping erythromycin within Escherichia coli through phosphorylation increases the sensitivity of its biosensor (MphR) by approximately 10-fold. When combined with prior engineering efforts, our optimized biosensor can detect erythromycin concentrations as low as 13 nM. We show that this strategy works with a range of macrolide substrates, enabling the potential usage of our optimized system for drug development and metabolic engineering. This strategy can be extended in future studies to improve the sensitivity of other biosensors. Our findings further suggest that many naturally evolved genes involved in resistance to multiple classes of antibiotics may increase intracellular drug concentrations to modulate their own expression, acting as a form of regulatory feedback.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Anti-Bacterial Agents / metabolism*
  • Biosensing Techniques / methods*
  • Drug Resistance, Bacterial / genetics
  • Erythromycin / metabolism*
  • Escherichia coli / genetics*
  • Escherichia coli / metabolism*
  • Escherichia coli Proteins / genetics*
  • Escherichia coli Proteins / metabolism
  • Gene Expression
  • Gene Expression Regulation, Bacterial
  • Metabolic Engineering / methods*
  • Phosphorylation
  • Synthetic Biology / methods
  • Transcription Factors / genetics*
  • Transcription Factors / metabolism

Substances

  • Anti-Bacterial Agents
  • Escherichia coli Proteins
  • MphR(A) protein, E coli
  • Transcription Factors
  • Erythromycin