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Journal of Clinical Microbiology, November 2007, p. 3574-3580, Vol. 45, No. 11
0095-1137/07/$08.00+0 doi:10.1128/JCM.00675-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
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Central Region Laboratory, Center of Research and Diagnostics, Centers for Disease Control, Taichung, Taiwan,1 National Institute for Infectious Diseases, Tokyo, Japan,2 Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan3
Received 27 March 2007/ Returned for modification 16 May 2007/ Accepted 5 September 2007
A multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) method was developed and evaluated for the subtyping of Shigella sonnei isolates. A total of 26 VNTR loci were identified by exploring the repeat sequence loci in the genomic sequences of S. sonnei strains Ss046 and 53G and by testing 536 isolates that had previously been characterized by pulsed-field gel electrophoresis (PFGE). The discriminatory power of MLVA (Simpson's index of diversity [D], 0.9524; 95% confidence interval [CI], 0.9373 to 0.9564) for the 536 isolates was significantly higher than that of PFGE (D, 0.8882; CI, 0.8667 to 0.9097). MLVA typing with the four and eight most variable loci had D values of 0.9468 and 0.9481, respectively, results approaching that of 26 loci. The usefulness of MLVA for outbreak investigation was evaluated using 151 isolates from 10 shigellosis outbreaks and 22 PFGE-indistinguishable isolates collected from nine epidemiologically unrelated events in five different countries. The evaluations indicated that MLVA was a powerful typing tool to distinguish isolates for outbreak investigation and that it exhibited a good discrimination of the 22 PFGE-indistinguishable isolates. Single-locus variants did occur during the outbreak; therefore, S. sonnei isolates with MLVA profiles differing at no more than a single locus should be considered part of the same outbreak. The present study suggests that MLVA has the potential to replace PFGE as a standard method of typing S. sonnei isolates for disease surveillance and outbreak investigation.
Published ahead of print on 19 September 2007.
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