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JCM Accepts, published online ahead of print on 13 September 2006
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J. Clin. Microbiol. doi:10.1128/JCM.01275-06
Copyright (c) 2006, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.

Identification of Clostridium species and DNA fingerprinting of Clostridium perfringens by amplified fragment length polymorphism analysis

Riikka Keto-Timonen*, Annamari Heikinheimo, Erkki Eerola, and Hannu Korkeala

Department of Food and Environmental Hygiene, University of Helsinki, P.O. Box 66, FI-00014 University of Helsinki, Finland; Department of Medical Microbiology, University of Turku, Kiinamyllynkatu 13, FI-20520 Turku, Finland

* To whom correspondence should be addressed. Email: riikka.keto-timonen{at}helsinki.fi.


   Abstract

An amplified fragment length polymorphism (AFLP) method was applied to 129 strains representing 24 different Clostridium species, with special emphasis on pathogenic clostridia of medical or veterinary interest, to assess the potential of AFLP for identification of clostridia. In addition, the ability of the same AFLP protocol to type clostridia at the strain level was assessed by focusing on C. perfringens strains. All strains were typeable by AFLP, so the method seemed to overcome the problem of extracellular DNase production. AFLP differentiated all Clostridium species tested, except for C. ramosum and C. limosum, which clustered together with a 45% similarity level. Other Clostridium species were divided into species-specific clusters or occupied separate positions. Wide genetic diversity was observed among C. botulinum strains, which were divided into seven species-specific clusters. The same AFLP protocol was also suitable for typing C. perfringens at the strain level. A total of 29 different AFLP types were identified for 37 strains of C. perfringens; strains initially originating from the same isolate showed identical fingerprinting patterns, and were distinguished from unrelated strains. AFLP proved to be a highly reproducible, easy-to-perform, and relatively fast method which enables high throughput of samples and can serve in the generation of identification libraries. These results indicate that the AFLP method provides a promising tool for the identification and characterization of Clostridium species.







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