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Related Experiment Videos

Discrimination among Listeria monocytogenes isolates using a mixed genome DNA microarray.

Monica K Borucki1, Melissa J Krug, Wayne T Muraoka

  • 1Animal Disease Research Unit, Agricultural Research Service, United States Department of Agriculture, Pullman, WA 99164-6630, USA. mborucki@vetmed.wsu.edu

Veterinary Microbiology
|January 30, 2003
PubMed
Summary

DNA microarrays effectively differentiate Listeria monocytogenes strains, identifying specific genes for improved foodborne illness investigations. This method aids in tracking pathogen sources and understanding virulence factors.

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Area of Science:

  • Microbiology
  • Genomics
  • Epidemiology

Background:

  • Listeria monocytogenes is a significant foodborne pathogen causing severe human illness.
  • Traditional methods like serotyping and pulsed-field gel electrophoresis (PFGE) are used for isolate identification.
  • Novel molecular techniques are needed for higher resolution discrimination and gene identification.

Purpose of the Study:

  • To evaluate the utility of a mixed genome DNA microarray for differentiating Listeria monocytogenes isolates.
  • To compare microarray performance with existing subtyping methods like PFGE.
  • To identify specific genetic markers associated with L. monocytogenes strains.

Main Methods:

  • Construction of a 585-probe mixed genome DNA microarray.
  • Hybridization of 24 L. monocytogenes strains to the microarray.

Related Experiment Videos

  • Comparative analysis of microarray data with PFGE subtyping and phylogenetic relationships.

    • Main Results:

    • Microarray analysis successfully discriminated between L. monocytogenes isolates, even within the same serotype and from similar sources.
    • Microarray results corroborated established phylogenetic relationships and showed agreement with PFGE subtypes.
    • Identification of specific genes, including potential virulence factors, through probe association and sequencing.

    Conclusions:

    • Mixed genome microarrays are a valuable tool for high-resolution differentiation of closely related L. monocytogenes isolates.
    • This technology facilitates the identification of genetic markers crucial for epidemiologic surveillance and pathogenesis studies.
    • DNA microarrays offer an advancement over PFGE for comprehensive bacterial isolate characterization.