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Foodborne Pathog Dis ; 13(6): 289-95, 2016 06.
Article in English | MEDLINE | ID: mdl-26990517

ABSTRACT

A total of 253 multiple-locus variable-number tandem-repeat analysis (MLVA) types among 634 isolates were discovered while studying the genetic diversity of porcine Yersinia enterocolitica 4/O:3 isolates from eight different European countries. Six variable-number tandem-repeat (VNTR) loci V2A, V4, V5, V6, V7, and V9 were used to study the isolates from 82 farms in Belgium (n = 93, 7 farms), England (n = 41, 8 farms), Estonia (n = 106, 12 farms), Finland (n = 70, 13 farms), Italy (n = 111, 20 farms), Latvia (n = 66, 3 farms), Russia (n = 60, 10 farms), and Spain (n = 87, 9 farms). Cluster analysis revealed mainly country-specific clusters, and only one MLVA type consisting of two isolates was found from two countries: Russia and Italy. Also, farm-specific clusters were discovered, but same MLVA types could also be found from different farms. Analysis of multiple isolates originating either from the same tonsils (n = 4) or from the same farm, but 6 months apart, revealed both identical and different MLVA types. MLVA showed a very good discriminatory ability with a Simpson's discriminatory index (DI) of 0.989. DIs for VNTR loci V2A, V4, V5, V6, V7, and V9 were 0.916, 0.791, 0.901, 0.877, 0.912, and 0.785, respectively, when studying all isolates together, but variation was evident between isolates originating from different countries. Locus V4 in the Spanish isolates and locus V9 in the Latvian isolates did not differentiate (DI 0.000), and locus V9 in the English isolates showed very low discriminatory power (DI 0.049). The porcine Y. enterocolitica 4/O:3 isolates were diverse, but the variation in DI demonstrates that the well discriminating loci V2A, V5, V6, and V7 should be included in MLVA protocol when maximal discriminatory power is needed.


Subject(s)
Food Microbiology , Genetic Variation , Minisatellite Repeats , Swine Diseases/microbiology , Yersinia Infections/veterinary , Yersinia enterocolitica/genetics , Animals , Cluster Analysis , Europe/epidemiology , Meat , Swine , Swine Diseases/epidemiology , Yersinia Infections/epidemiology , Yersinia enterocolitica/classification , Yersinia enterocolitica/isolation & purification
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