A Roadblock-and-Kill Mechanism of Action Model for the DNA-Targeting Antibiotic Ciprofloxacin

Nikola Ojkic1, Elin Lilja1, Susana Direito1

  • 1SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.

Insights

Fluoroquinolones like ciprofloxacin delay bacterial growth by blocking DNA replication forks. This response is governed by DNA replication and gyrase dynamics, not the SOS response, challenging current understanding.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Biophysics

Background:

  • Fluoroquinolones are vital antibiotics inhibiting bacterial DNA topoisomerases, but their precise mechanism and cellular response dynamics remain unclear.
  • The SOS response to DNA damage is implicated in fluoroquinolone action, yet its role in cellular dynamics is poorly understood.

Purpose of the Study:

  • To investigate the dynamical response of *Escherichia coli* growth and DNA production to low-concentration ciprofloxacin exposure.
  • To develop and validate a biophysical model explaining bacterial responses to fluoroquinolones.

Main Methods:

  • Measured population and single-cell growth and DNA production rates in *E. coli* exposed to ciprofloxacin.
  • Developed a roadblock-and-kill model incorporating replication fork blockage and DNA damage by inhibited gyrase.
  • Analyzed dynamical changes in wild-type and mutant *E. coli* following ciprofloxacin concentration changes.

Main Results:

  • A simple roadblock-and-kill model accurately predicted long-term growth rates under ciprofloxacin exposure.
  • Bacterial cells exhibited a delayed growth rate response to fluoroquinolones, explained by DNA fragmentation kinetics.
  • The dynamical response was primarily controlled by DNA replication and gyrase binding timescales, not the SOS response.

Conclusions:

  • Bacterial response to fluoroquinolones is a delayed process driven by DNA replication fork blockage and subsequent DNA damage.
  • The study challenges the central role of the SOS response, emphasizing DNA replication and gyrase dynamics.
  • Integrating detailed biophysical processes into models is crucial for accurately predicting bacterial antibiotic responses.

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