Evaluation of the Propidium Monoazide-quantitative Polymerase Chain Reaction Method for the Detection of Viable

Ericka T Pinheiro1, Viviane D Neves1, Caroline C Reis1

  • 1Discipline of Endodontics, Department of Dentistry, School of Dentistry, University of São Paulo, São Paulo, Brazil.

Abstract

Insights

Propidium monoazide (PMA) effectively distinguishes live from dead Enterococcus faecalis cells in DNA assays. This method enables accurate quantification of viable bacteria by inhibiting DNA amplification from dead cells.

Area of Science:

  • Microbiology
  • Molecular Biology

Background:

  • DNA-based molecular assays struggle to differentiate between live and dead cells.
  • Propidium monoazide (PMA) treatment before DNA amplification is a proposed solution.
  • This study investigates PMA efficacy for viable Enterococcus faecalis detection.

Purpose of the Study:

  • To evaluate the effectiveness of different propidium monoazide (PMA) concentrations.
  • To assess PMA's ability to inhibit DNA amplification from dead Enterococcus faecalis cells.
  • To enable selective detection and quantification of viable Enterococcus faecalis using qPCR.

Main Methods:

  • Bacterial suspensions (viable and heat-killed E. faecalis) were treated with PMA (10, 50, 100 μg/mL).
  • DNA extraction followed by quantitative polymerase chain reaction (qPCR) targeting the 16S ribosomal RNA sequence.
  • PMA efficacy was tested on mixed viable/dead cell suspensions and compared to untreated controls.

Main Results:

  • PMA treatment significantly reduced DNA amplification from heat-killed E. faecalis (P < .0001).
  • The highest PMA concentration (100 μg/mL) showed the greatest inhibition of dead cell DNA amplification (P < .005).
  • PMA enabled selective detection of viable cells in mixtures of live and dead bacteria.

Conclusions:

  • Propidium monoazide (PMA) effectively inhibits qPCR amplification from dead cell DNA.
  • PMA facilitates accurate in vitro detection and quantification of viable Enterococcus faecalis.
  • This approach overcomes a key limitation in DNA-based microbial detection.