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Novel algorithm identifies species in a polymycobacterial sample by fluorescence capillary electrophoresis-based
Tomotada Iwamoto1, Toshiaki Sonobe, Kozaburo Hayashi
1Department of Bacteriology, Kobe Institute of Health, 4-6 Minatojima-nakamachi, Chuo-ku, Kobe 650-0046, Japan. kx2t-iwmt@asahi-net.or.jp
Journal of Clinical Microbiology
|November 28, 2002
Summary
A new algorithm uses fluorescence capillary electrophoresis (FCE)-based single-strand conformation polymorphism (SSCP) to identify multiple mycobacterial species directly from samples. This method accurately detects various species, including those missed by other assays, improving mycobacterial diagnostics.
Area of Science:
- Microbiology
- Molecular Biology
- Genetics
Background:
- Accurate identification of mycobacterial species is crucial for effective treatment and infection control.
- Current diagnostic methods may have limitations in detecting multiple species simultaneously or identifying specific strains.
Purpose of the Study:
- To develop and validate a novel algorithm for direct identification of multiple mycobacterial species.
- To assess the performance of this algorithm compared to existing diagnostic assays.
Main Methods:
- Developed a fluorescence capillary electrophoresis (FCE)-based single-strand conformation polymorphism (SSCP) analysis algorithm.
- Utilized PCR amplification of the 16S-23S ribosomal DNA internal transcribed spacer (ITS) region with fluorescently labeled primers.
- Applied FCE-SSCP to both undigested PCR products and HaeIII-digested restriction fragments (RF).
Main Results:
- The FCE-SSCP algorithm successfully distinguished 19 mycobacterial species and the M. tuberculosis complex based on 23 distinct SSCP patterns.
- Demonstrated applicability in analyzing complex mycobacterial communities and detecting low abundance species (down to 25% relative amount).
- FCE-RF-SSCP showed high concordance with the Amplicor assay and identified additional species (M. abscessus, M. kansasii) not targeted by Amplicor.
Conclusions:
- The developed FCE-SSCP algorithm provides a reliable method for direct, simultaneous identification of multiple mycobacterial species.
- This technique offers improved diagnostic capabilities, especially for mixed infections and species not covered by standard assays.
- FCE-RF-SSCP represents a valuable advancement in mycobacterial diagnostics, particularly for clinical samples like sputum.