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Application of CRISPR Interference (CRISPRi) for Gene Silencing in Pathogenic Species of Leptospira
Published on: August 14, 2021
Methods to determine antibiotic resistance gene silencing
Virve I Enne1, Peter M Bennett
1Department of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
Methods in Molecular Biology (Clifton, N.J.)
|April 20, 2010
Summary
Silent antibiotic resistance genes in bacteria pose a significant threat to treatment efficacy. This study details methods for detecting these silent genes, which can activate and cause resistance unexpectedly.
Area of Science:
- Microbiology
- Molecular Biology
- Genetics
Background:
- Antibiotic resistance is a global health crisis.
- Silent antibiotic resistance genes, though unexpressed, can activate and compromise treatment.
- Early detection of these silent genes is crucial for effective antimicrobial therapy.
Purpose of the Study:
- To describe methods for detecting silent, acquired antibiotic resistance genes.
- To identify specific genes (aadA, blaOXA-2, strAB, sul1, tetA) that may be silent.
- To enable diagnosis of isolates with potential for developing resistance.
Main Methods:
- Susceptibility testing (e.g., E-test) to determine phenotypic resistance.
- Polymerase Chain Reaction (PCR) and agarose gel electrophoresis to detect specific resistance genes.
- DNA sequencing of gene sequences to identify mutations.
- Reverse Transcription PCR (RT-PCR) to investigate gene expression from RNA.
Main Results:
- A comprehensive method combining phenotypic testing, PCR, DNA sequencing, and RT-PCR is presented.
- The approach allows for the detection of five specific potentially silent acquired resistance genes.
- The methodology can identify mutations or expression patterns indicative of silent resistance.
Conclusions:
- The described molecular methods enable the detection of silent antibiotic resistance genes.
- This detection is vital for preventing treatment failures due to unexpected resistance.
- The approach is adaptable to other acquired resistance genes with available sequence and expression data.
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