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Updated: Jan 27, 2026

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DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
Published on: July 15, 2011
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Screening DNA Repeat Tracts of Phase Variable Genes by Fragment Analysis
Freda E-C Jen1, Kate L Seib2, Aimee Tan1
1Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
Methods in Molecular Biology (Clifton, N.J.)
|March 17, 2019
Summary
Fragment analysis quantifies DNA repeat lengths in phase-variable genes. This PCR-based method uses fluorescent primers and capillary electrophoresis for accurate screening of repeat numbers in bacterial genes like ModA.
Area of Science:
- Molecular Biology
- Genetics
- Microbiology
Background:
- Phase-variable regions in bacterial genes influence pathogen adaptation and virulence.
- Accurate quantification of repeat tract length is crucial for understanding gene regulation.
- Fragment analysis offers a precise method for assessing DNA repeat variations.
Purpose of the Study:
- To describe a robust method for designing primers and controls for fragment analysis.
- To enable screening of repeat numbers in phase-variable genes, exemplified by Neisseria meningitidis ModA.
- To provide a framework applicable to various phase-variable genes in microbial research.
Main Methods:
- Polymerase chain reaction (PCR) amplification with fluorescently labeled primers.
- Capillary electrophoresis for separating DNA fragments based on size.
- Associated software analysis for determining amplicon size and proportion.
Main Results:
- Successful design and validation of primers and controls for fragment length analysis.
- Demonstration of the method's efficacy in screening repeat numbers in the ModA gene.
- The protocol is adaptable for analyzing other phase-variable genes.
Conclusions:
- Fragment analysis is a reliable PCR-based technique for quantifying DNA repeat tract lengths.
- The described primer and control design process facilitates the study of phase-variable genes.
- This method enhances our ability to investigate bacterial adaptation mechanisms.
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