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USE OF A CULTURE-INDEPENDENT MOLECULAR METHOD FOR THE DIRECT DETECTION ANIDENTIFICATION OF YERSINIA SPP. IN FOOD

COCOLIN L.
•
COMI, Giuseppe
2005
  • journal article

Periodico
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
Abstract
A culture-independent method for the direct detection in food of Yersinia spp. was developed in this study. It is based on the amplification of a 359 bp PCR product from the RNA polymerase beta-subunit gene (rpoB) and subsequent analysis by denaturing gradient gel electrophoresis (DGGE). Direct detection of Yersinia spp. by PCR–DGGE was carried out in ready-toeat vegetables and the results compared with the results of the traditional, culture-dependent method. The DGGE profiles were determined to be species-specific. As a matter of fact, Yersinia enterocolitica, Yersinia intermedia, Yersinia frederiskenii and Yersinia kristensenii showed differential migrations in the gels. Moreover, Y. enterocolitica serotypes O:3, O:5 and O:9 were distinguishable, as well. Only for a limited number of traditionally isolated strains, the biochemical and molecular identification agree. In particular, an overestimation of Y. enterocolitica, as determined biochemically, was observed. Finally when the protocol was applied to 27 food samples, a good correlation was obtained when the results of traditional and direct methods were analyzed. The molecular method was able to identify Y. enterocolitica, not detected by plating analysis. However, for 4 samples, that, by plating analysis, were determined to contain Yersinia spp., no PCR product could be obtained after enrichment, probably due to low numbers of target cells, thereby not allowing the possibility to perform DGGE analysis. The protocol described here represents a reliable tool for the detection of Yersinia spp. in food, which can be used to obtain the needed results faster than with traditional culturing methods.
WOS
WOS:000233349000008
Archivio
http://hdl.handle.net/11390/690890
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-27644552574
Diritti
closed access
google-scholar
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