Efficient Discrimination within aCorynebacterium diphtheriaeEpidemic Clonal Group by a Novel Macroarray-Based Method
Open Access
- 1 April 2005
- journal article
- research article
- Published by American Society for Microbiology in Journal of Clinical Microbiology
- Vol. 43 (4) , 1662-1668
- https://doi.org/10.1128/jcm.43.4.1662-1668.2005
Abstract
A large diphtheria epidemic in the 1990s in Russia and neighboring countries was caused by a clonal group of closely relatedCorynebacterium diphtheriaestrains (ribotypes Sankt-Peterburg and Rossija). In the recently published complete genome sequence ofC. diphtheriaestrain NCTC13129, representative of the epidemic clone (A. M. Cerdeño-Tarraga et al., Nucleic Acids Res. 31:6516-6523, 2003), we identified in silico two direct repeat (DR) loci 39 kb downstream and 180 kb upstream of theoriCregion, consisting of minisatellite (27- to 36-bp) alternating DRs and variable spacers. We designated these loci DRA and DRB, respectively. A reverse-hybridization macroarray-based method has been developed to study polymorphism (the presence or absence of 21 different spacers) in the larger DRB locus. We name it spoligotyping (spacer oligonucleotide typing), analogously to a similar method ofMycobacterium tuberculosisgenotyping. The method was evaluated with 154 clinical strains of theC. diphtheriaeepidemic clone from the St. Petersburg area in Russia from 1997 to 2002. By comparison with the international ribotype database (Institut Pasteur, Paris, France), these strains were previously identified as belonging to ribotypes Sankt-Peterburg (n= 79) and Rossija (n= 75). The 154 strains were subdivided into 34 spoligotypes: 14 unique strains and 20 types shared by 2 to 46 strains; the Hunter Gaston discriminatory index (HGDI) was 0.85. DRB locus-based spoligotyping allows fast and efficient discrimination within theC. diphtheriaeepidemic clonal group and is applicable to both epidemiological investigations and phylogenetic reconstruction. The results are easy to interpret and can be presented and stored in a user-friendly digital database (Excel file), allowing rapid type determination of new strains.Keywords
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