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Identifying antimicrobial resistance genes with DNA microarrays
Douglas R Call1, Marlene K Bakko, Melissa J Krug
1Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington 99164, USA. drcall@wsu.edu
Antimicrobial Agents and Chemotherapy
|September 25, 2003
Summary
We developed a cost-effective glass microarray to detect multiple tetracycline (tet) resistance genes in bacterial strains. This method accurately identified known tet genes and clarified a previously misidentified gene, demonstrating its potential for antibiotic resistance screening.
Area of Science:
- Microbiology
- Molecular Biology
- Biotechnology
Background:
- Antibiotic resistance is a growing global health concern.
- Rapid and accurate detection of resistance genes is crucial for effective treatment and control.
- Existing methods for detecting multiple antibiotic resistance genes can be costly and time-consuming.
Purpose of the Study:
- To develop and validate a novel glass-based microarray for the simultaneous detection of multiple tetracycline (tet) resistance genes.
- To assess the accuracy and cost-effectiveness of this microarray technology for identifying antibiotic resistance genes in bacterial isolates.
- To provide a tool for the rapid screening of a wide range of antibiotic resistance genes.
Main Methods:
- Generation of polymerase chain reaction (PCR) products for 17 tet genes, bla(TEM-1), and 16S ribosomal DNA (rDNA) from known controls.
- Robotic spotting of PCR products onto epoxy-silane-derivatized slides to create microarrays.
- Hybridization of biotinylated DNA from test strains to microarrays, followed by detection using Tyramide Signal Amplification and Alexa Fluor 546.
Main Results:
- The developed microarray correctly identified tet genes in 39 out of 39 test strains.
- Nine additional strains, not expected to carry any of the targeted genes, tested negative for all probes.
- The technology successfully reclassified a previously misidentified novel tet gene as tet(G).
Conclusions:
- Glass-based microarrays offer a sensitive, specific, and potentially low-cost method for detecting multiple antibiotic resistance genes.
- This technology has significant potential for widespread application in clinical diagnostics, public health surveillance, and research.
- The developed microarray platform can be adapted for screening a broad spectrum of antibiotic resistance determinants.