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DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
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'Bioluminescent' Reporter Phage for the Detection of Category A Bacterial Pathogens
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Luminometric Label Array for Counting and Differentiation of Bacteria.

Milla Högmander1, Catherine J Paul2,3, Sandy Chan2,4

  • 1Department of Cell Biology and Anatomy, Institute of Biomedicine, University of Turku , Kiinamyllynkatu 10, FI-20520 Turku, Finland.

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A novel label array method enables simple, cost-effective bacterial species detection and differentiation. This luminescence-based approach offers a user-friendly alternative for various applications, including environmental monitoring and industrial processes.

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Area of Science:

  • Microbiology
  • Analytical Chemistry
  • Biotechnology

Background:

  • Accurate and rapid bacterial species identification is crucial for medicine, environmental monitoring, and the food industry.
  • Existing methods like plate counts, flow cytometry, and polymerase chain reaction (PCR) have limitations in terms of speed, cost, or complexity.
  • There is a need for user-friendly, cost-effective, and fast methods for bacterial detection and differentiation.

Purpose of the Study:

  • To develop a novel label array method for simple, fast, and cost-effective counting and differentiation of bacterial species.
  • To evaluate the performance of the developed method for both pure and mixed bacterial cultures.
  • To demonstrate the method's potential for various applications requiring bacterial analysis.

Main Methods:

  • Development of a label array method utilizing nonspecific interactions of lanthanide chelates and chemicals.
  • Generation of unique luminescence signal profiles for bacterial species identification.
  • Application of a predictive model trained on luminescence signals for bacterial differentiation.
  • Validation using pure cultures, mixed cultures, and leave-one-out cross-validation.

Main Results:

  • The method achieved a limit of detection below 1000 bacteria per mL with an average coefficient of variation of 10%.
  • Successful differentiation of nine tested bacterial species, including closely related species within the same genus (e.g., Bacillus licheniformis and Bacillus subtilis).
  • Demonstrated suitability for analyzing ternary mixtures of different bacterial species.

Conclusions:

  • The developed label array method provides a simple, cost-effective, and user-friendly approach for bacterial detection and differentiation.
  • The method shows high accuracy in identifying individual species and analyzing bacterial mixtures.
  • Potential applications include contamination monitoring, industrial microbial process analysis, and biofilm analysis.