Fast and Economic Microarray-Based Detection of Species-, Resistance-, and Virulence-Associated Genes in Clinical Strains of Vancomycin-Resistant Enterococci (VRE)

Today, there is a continuous worldwide battle against antimicrobial resistance (AMR) and that includes vancomycin-resistant enterococci (VRE). Methods that can adequately and quickly detect transmission chains in outbreaks are needed to trace and manage this problem fast and cost-effectively. In this study, DNA-microarray-based technology was developed for this purpose. It commenced with the bioinformatic design of specific oligonucleotide sequences to obtain amplification primers and hybridization probes. Microarrays were manufactured using these synthesized oligonucleotides. A highly parallel and stringent labeling and hybridization protocol was developed and employed using isolated genomic DNA from previously sequenced (referenced) clinical VRE strains for optimal sensitivity and specificity. Microarray results showed the detection of virulence, resistance, and species-specific genes in the VRE strains. Theoretical predictions of the microarray results were also derived from the sequences of the same VRE strain and were compared to array results while optimizing protocols until the microarray result and theoretical predictions were a match. The study concludes that DNA microarray technology can be used to quickly, accurately, and economically detect specifically and massively parallel target genes in enterococci.

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Publication Details

Journal
Sensors
Published
2024-10-08
DOI
https://doi.org/10.3390/s24196476
Citations
2
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.92

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article

Fast and Economic Microarray-Based Detection of Species-, Resistance-, and Virulence-Associated Genes in Clinical Strains of Vancomycin-Resistant Enterococci (VRE)

Dominik Gary, Maximilian Collatz, Annett Reißig, Katrin Frankenfeld et al.
2 citations
Sensors
Bacteriophages and microbial interactions
0.92
article

Fast and Economic Microarray-Based Detection of Species-, Resistance-, and Virulence-Associated Genes in Clinical Strains of Vancomycin-Resistant Enterococci (VRE)

Dominik Gary, Maximilian Collatz, Annett Reißig, Katrin Frankenfeld, Stefan Monecke, Anja Eichner, Ralf Ehricht, Thomas Wellhöfer, Jürgen H. Fritsch, Anca Rath, Bärbel Kieninger, Wulf Schneider‐Brachert, Ibukun Elizabeth Osadare, Elke Müller, Sascha D. Braun, Abdinasir Abdilahi
article en
2 citations

Abstract

Today, there is a continuous worldwide battle against antimicrobial resistance (AMR) and that includes vancomycin-resistant enterococci (VRE). Methods that can adequately and quickly detect transmission chains in outbreaks are needed to trace and manage this problem fast and cost-effectively. In this study, DNA-microarray-based technology was developed for this purpose. It commenced with the bioinformatic design of specific oligonucleotide sequences to obtain amplification primers and hybridization probes. Microarrays were manufactured using these synthesized oligonucleotides. A highly parallel and stringent labeling and hybridization protocol was developed and employed using isolated genomic DNA from previously sequenced (referenced) clinical VRE strains for optimal sensitivity and specificity. Microarray results showed the detection of virulence, resistance, and species-specific genes in the VRE strains. Theoretical predictions of the microarray results were also derived from the sequences of the same VRE strain and were compared to array results while optimizing protocols until the microarray result and theoretical predictions were a match. The study concludes that DNA microarray technology can be used to quickly, accurately, and economically detect specifically and massively parallel target genes in enterococci.

SensorsVol. 24(19)
Leibniz Institute of Photonic Technology (DE), University Hospital Regensburg (DE), Research Centre of Medical Technology and Biotechnology (DE), InfectoGnostics Research Campus Jena (DE), Friedrich Schiller University Jena (DE)
Leibniz-Gemeinschaft
Life in Land
Openalex Percentile: Top 22%
Bacteriophages and microbial interactions
0.92
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