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Optimized Method for Measuring Persistence in Escherichia coli with Improved Reproducibility.

F Goormaghtigh1, L Van Melderen2

  • 1Laboratoire de Génétique et Physiologie Bactérienne, IBMM, Faculté des Sciences, Université Libre de Bruxelles (ULB), 12 rue des professeurs Jeener et Brachet, Gosselies, 6041, Belgium.

Methods in Molecular Biology (Clifton, N.J.)
|October 16, 2015
PubMed
Summary
This summary is machine-generated.

Monitoring bacterial persister cells is challenging. This study presents a standardized, reproducible method for quantifying Escherichia coli persister cells at the population level, overcoming previous limitations.

Keywords:
Biphasic killing curvePersistence assayPersister cells

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Area of Science:

  • Microbiology
  • Bacterial Physiology
  • Antimicrobial Resistance

Background:

  • Persister cells are a subpopulation of bacteria that survive antibiotic treatment.
  • Current methods for monitoring persister cells are difficult due to their transient nature, low abundance, and resemblance to viable but non-culturable cells (VBNCs).
  • Existing methods for quantifying persister cells lack standardization, leading to reproducibility issues and data interpretation challenges.

Purpose of the Study:

  • To develop and optimize a standardized method for monitoring Escherichia coli persister cells.
  • To improve the reproducibility and reliability of persister cell quantification at the population level.
  • To address the limitations of current methods in accurately assessing bacterial survival post-antibiotic treatment.

Main Methods:

  • A standardized protocol for the enumeration of persister cells in Escherichia coli populations was developed.
  • The method focuses on population-level monitoring to enhance reproducibility.
  • Optimization of existing techniques to overcome challenges associated with persister cell detection.

Main Results:

  • The developed method allows for maximal reproducibility in monitoring E. coli persister cells.
  • The protocol addresses the transient and stochastic nature of persister cells.
  • Quantitative data on persister cell populations can be obtained with improved reliability.

Conclusions:

  • A standardized and optimized method for monitoring E. coli persister cells has been established.
  • This method enhances reproducibility and facilitates accurate interpretation of bacterial survival data.
  • The findings contribute to a better understanding of persister cell dynamics and antibiotic tolerance.