Use of propidium monoazide for live/dead distinction in microbial ecology

Andreas Nocker1, Priscilla Sossa-Fernandez, Mark D Burr

  • 1Montana State University, Center for Biofilm Engineering, 366 EPS Building, P.O. Box 173980, Bozeman, MT 59717-3980, USA. anocker@erc.montana.edu

Insights

Propidium monoazide (PMA) treatment can improve bacterial community profiling by selectively inhibiting PCR amplification of DNA from dead cells. This method enhances the accuracy of ecological conclusions derived from genetic fingerprinting techniques.

Area of Science:

  • Microbial Ecology
  • Molecular Biology
  • Environmental Science

Background:

  • Accurate ecological conclusions from genetic fingerprints require bacterial community profiles to represent live cells.
  • Propidium monoazide (PMA) is a DNA-intercalating dye that penetrates cells with compromised membranes.
  • PMA cross-links to DNA, inhibiting PCR amplification, thus enabling selective analysis of intact cells.

Purpose of the Study:

  • To evaluate the effectiveness of PMA treatment in combination with end-point PCR for analyzing bacterial communities.
  • To assess PMA's utility in distinguishing between live and dead cells in various environmental samples.

Main Methods:

  • Bacterial communities, including mixtures of live and dead cells, were treated with PMA.
  • DNA was extracted from treated samples, and 16S rRNA genes were amplified via PCR.
  • Community profiles were generated using denaturing gradient gel electrophoresis (DGGE).

Main Results:

  • PMA treatment successfully suppressed DNA amplification from killed cells in defined mixtures and spiked wastewater samples.
  • PMA affected DGGE banding patterns and their intensities in environmental and heat-stressed sediment communities.
  • The effectiveness of PMA is influenced by the intrinsic limitations of end-point PCR.

Conclusions:

  • PMA treatment shows promise for enhancing bacterial community analysis by excluding DNA from dead cells.
  • The method can improve the reliability of ecological inferences based on genetic fingerprinting.
  • Further consideration of PCR limitations is necessary when interpreting PMA-treated community profiles.

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