[Development of multiplex oligonucleotide ligation-PCR-universal DNA microarrays for detection of foodborne

Xiaoqiang Wang1, Sisi Ying1, Ruijun Han1

  • 1Xi'an Center for Disease Control and Prevention, Xi'an 710054, China.

Abstract

Insights

A new multiplex oligonucleotide ligation-polymerase chain reaction (MOL-PCR) microarray assay enables rapid and accurate detection of eight common foodborne pathogens. This method offers a sensitive platform for identifying bacterial contamination in food samples.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Biotechnology

Background:

  • Foodborne bacterial infections pose significant public health risks.
  • Accurate and rapid detection of foodborne pathogens is crucial for food safety.
  • Existing detection methods can be time-consuming or lack multiplexing capabilities.

Purpose of the Study:

  • To develop a novel multiplex oligonucleotide ligation-polymerase chain reaction (MOL-PCR) based universal microarray assay.
  • To achieve multiplexed detection of common foodborne pathogens.
  • To establish a rapid, accurate, and high-throughput detection platform.

Main Methods:

  • Design of specific upstream and downstream probes for eight common foodborne pathogens.
  • Enrichment of target fragments via multiplex PCR.
  • Generation of fluorescently labeled amplicons using multiplex ligase detection reaction and asymmetric PCR.
  • Detection of products via hybridization to immobilized tag sequences on DNA microarrays.

Main Results:

  • The assay successfully identified all eight target pathogens in single and mixed infections.
  • Achieved a detection limit of (1.1–8.5) × 10^2 CFU/mL for pure bacterial cultures.
  • Microarray results showed high concordance with traditional culture, biochemical identification, and real-time PCR for 96 food and clinical samples.

Conclusions:

  • The developed MOL-PCR universal microarray assay is a novel platform for foodborne pathogen detection.
  • The assay offers rapid, accurate, sensitive, and high-throughput identification of pathogenic bacteria.
  • This method has significant potential for improving food safety monitoring and public health.

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