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Comparison of an Automated Repetitive Sequence-based PCR Microbial Typing System with IS6110-Restriction Fragment Length Polymorphism for Epidemiologic Investigation of Clinical Mycobacterium tuberculosis Isolates in Korea

  • Jang, Mi-Hee (Department of Laboratory Medicine, School of Medicine, Pusan National University) ;
  • Go, Hee-Jang (Department of Laboratory Medicine, School of Medicine, Pusan National University) ;
  • Shin, Bo-Moon (Department of Laboratory Medicine, Sanggye Paik Hospital, Inje University) ;
  • Lee, Seon-Ho (Department of Laboratory Medicine, University of Ulsan College of Medicine Ulsan University Hospital) ;
  • Kim, Sung-Ryul (Department of Laboratory Medicine, University of Ulsan College of Medicine Ulsan University Hospital) ;
  • Chang, Chul-Hun L. (Department of Laboratory Medicine, School of Medicine, Pusan National University) ;
  • Kim, Jeong-Man (Department of Laboratory Medicine, Dong-A University College of Medicine)
  • Published : 2011.10.30

Abstract

Tuberculosis remains a severe public health problem worldwide. Presently, genotyping is used for conducting epidemiologic and clinical studies on tuberculosis cases. We evaluated the efficacy of the repetitive sequence-based PCR (rep-PCR)-based DiversiLabTM system (bioM$\acute{e}$rieux, France) over the IS6110-restriction fragment length polymorphism analysis for detecting Mycobacterium tuberculosis. In all, 89 clinical M. tuberculosis isolates collected nationwide from Korea were used. The DiversiLab system allocated the 89 isolates to 8 groups with 1 unique isolate when a similarity level of 95% was applied. Seventy-six isolates of the Beijing family and 13 isolates of non-Beijing family strains were irregularly distributed regardless of rep-PCR groups. The DiversiLab system generated a rapid, sensitive, and standardized result. It can be used to conduct molecular epidemiologic studies to identify clinical M. tuberculosis isolates in Korea.

Keywords

References

  1. Global tuberculosis control: key findings from the December 2009 WHO report. Wkly Epidemiol Rec 2010;85:69-80.
  2. Lonnroth K and Raviglione M. Global epidemiology of tuberculosis: prospects for control. Semin Respir Crit Care Med 2008;29:481-91. https://doi.org/10.1055/s-0028-1085700
  3. Espinal MA, Laszlo A, Simonsen L, Boulahbal F, Kim SJ, Reniero A, et al. Global trends in resistance to antituberculosis drugs. World Health Organization-International Union against Tuberculosis and Lung Disease Working Group on Anti-Tuberculosis Drug Resistance Surveillance. N Engl J Med 2001;344:1294-303. https://doi.org/10.1056/NEJM200104263441706
  4. Gopaul KK, Brown TJ, Gibson AL, Yates MD, Drobniewski FA. Progression toward an improved DNA amplification-based typing technique in the study of Mycobacterium tuberculosis epidemiology. J Clin Microbiol 2006;44:2492-8. https://doi.org/10.1128/JCM.01428-05
  5. Dombek PE, Johnson LK, Zimmerley ST, Sadowsky MJ. Use of repetitive DNA sequences and the PCR to differentiate Escherichia coli isolates from human and animal sources. Appl Environ Microbiol 2000;66:2572-7. https://doi.org/10.1128/AEM.66.6.2572-2577.2000
  6. Healy M, Huong J, Bittner T, Lising M, Frye S, Raza S, et al. Microbial DNA typing by automated repetitive-sequence-based PCR. J Clin Microbiol 2005;43:199-207. https://doi.org/10.1128/JCM.43.1.199-207.2005
  7. Carretto E, Barbarini D, Farina C, Grosini A, Nicoletti P, Manso E. Use of the DiversiLab semiautomated repetitive-sequence-based polymerase chain reaction for epidemiologic analysis on Acinetobacter baumannii isolates in different Italian hospitals. Diagn Microbiol Infect Dis 2008;60:1-7. https://doi.org/10.1016/j.diagmicrobio.2007.07.002
  8. van Embden JD, Cave MD, Crawford JT, Dale JW, Eisenach KD, Gicquel B, et al. Strain identification of Mycobacterium tuberculosis by DNA fingerprinting: recommendations for a standardized methodology. J Clin Microbiol 1993;31:406-9.
  9. Choi GE, Jang MH, Song EJ, Jeong SH, Kim JS, Lee WG, et al. IS6110-restriction fragment length polymorphism and spoligotyping analysis of Mycobacterium tuberculosis clinical isolates for investigating epidemiologic distribution in Korea. J Korean Med Sci 2010;25:1716-21. https://doi.org/10.3346/jkms.2010.25.12.1716
  10. Hunter PR and Gaston MA. Numerical index of the discriminatory ability of typing systems: an application of Simpson's index of diversity. J Clin Microbiol 1988;26:2465-6.
  11. Versalovic J, Koeuth T, Lupski JR. Distribution of repetitive DNA sequences in eubacteria and application to fingerprinting of bacterial genomes. Nucleic Acids Res 1991;19:6823-31. https://doi.org/10.1093/nar/19.24.6823
  12. Versalovic J, Kapur V, Mason EO Jr, Shah U, Koeuth T, Lupski JR, et al. Penicillin-resistant Streptococcus pneumoniae strains recovered in Houston: identification and molecular characterization of multiple clones. J Infect Dis 1993;167:850-6. https://doi.org/10.1093/infdis/167.4.850
  13. Versalovic J, Kapur V, Koeuth T, Mazurek GH, Whittam TS, Musser JM, et al. DNA fingerprinting of pathogenic bacteria by fluorophore-enhanced repetitive sequence-based polymerase chain reaction. Arch Pathol Lab Med 1995;119:23-9.
  14. Cangelosi GA, Freeman RJ, Lewis KN, Livingston-Rosanoff D, Shah KS, Milan SJ, et al. Evaluation of a high-throughput repetitive-sequence-based PCR system for DNA fingerprinting of Mycobacterium tuberculosis and Mycobacterium avium complex strains. J Clin Microbiol 2004;42:2685-93. https://doi.org/10.1128/JCM.42.6.2685-2693.2004
  15. van Soolingen D, Qian L, de Haas PE, Douglas JT, Traore H, Portaels F, et al. Predominance of a single genotype of Mycobacterium tuberculosis in countries of East Asia. J Clin Microbiol 1995;33: 3234-8.
  16. Shamputa IC, Lee J, Allix-Béguec C, Cho EJ, Lee JI, Rajan V, et al. Genetic diversity of Mycobacterium tuberculosis isolates from a tertiary care tuberculosis hospital in South Korea. J Clin Microbiol 2010;48:387-94. https://doi.org/10.1128/JCM.02167-09
  17. Supply P, Allix C, Lesjean S, Cardoso-Oelemann M, Rüsch-Gerdes S, Willery E, et al. Proposal for standardization of optimized mycobacterial interspersed repetitive unit-variable-number tandem repeat typing of Mycobacterium tuberculosis. J Clin Microbiol 2006; 44:4498-510. https://doi.org/10.1128/JCM.01392-06
  18. Bouakaze C, Keyser C, de Martino SJ, Sougakoff W, Veziris N, Dabernat H, et al. Identification and genotyping of Mycobacterium tuberculosis complex species by use of a SNaPshot Minisequencing-based assay. J Clin Microbiol 2010;48:1758-66. https://doi.org/10.1128/JCM.02255-09
  19. Choi GE, Jang MH, Cho HJ, Lee SM, Yi J, Lee EY, et al. Application of single-nucleotide polymorphism and mycobacterial interspersed repetitive units-variable number of tandem repeats analyses to clinical Mycobacterium tuberculosis isolates from Korea. Korean J Lab Med 2011;31:37-43. https://doi.org/10.3343/kjlm.2011.31.1.37

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