Multilocus variable number tandem repeat analysis as a tool to discern genetic relationships among strains ofYersinia enterocoliticabiovar 1A
Pooja Gulati, Rajeev K. Varshney, Jugsharan Singh Virdi
Abstract
Pooja Gulati, Rajeev K. Varshney, Jugsharan Singh Virdi
Abstract
AIMS: To identify variable number tandem repeat (VNTR)-containing loci, and to use multilocus VNTR (MLVA) to discern genetic relationships among strains of Yersinia enterocolitica biovar 1A isolated from diverse sources. METHODS AND RESULTS: The whole genome sequence of Y. enterocolitica 8081 was analysed and eight VNTR loci with repeat sizes between 4 and 9 bp, and each containing more than four repeat copies were selected for MLVA typing of 88 strains of Y. enterocolitica. Of these, four loci were polymorphic and generated 26 MLVA genotypes among 81 strains of Y. enterocolitica biovar 1A. MLVA was found to be quite discriminatory (DI = 0.87). Cluster analysis and population modelling using minimum spanning tree (MST) clearly clustered Y. enterocolitica biovar 1A into two major groups. CONCLUSIONS: The MLVA is easy to perform and can be used to discern clonal relationship among strains of Y. enterocolitica. Also the phylogenetic relationships obtained with MLVA genotypes were in good agreement with those established by other typing methods. SIGNIFICANCE AND IMPACT OF THE STUDY: The MLVA method reported is relatively more discriminatory than the other genotyping methods and has the potential to be used as an epidemiological tool for the study of strains of Y. enterocolitica biovar 1A.
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AIMS: To identify variable number tandem repeat (VNTR)-containing loci, and to use multilocus VNTR (MLVA) to discern genetic relationships among strains of Yersinia enterocolitica biovar 1A isolated from diverse sources. METHODS AND RESULTS: The whole genome sequence of Y. enterocolitica 8081 was analysed and eight VNTR loci with repeat sizes between 4 and 9 bp, and each containing more than four repeat copies were selected for MLVA typing of 88 strains of Y. enterocolitica. Of these, four loci were polymorphic and generated 26 MLVA genotypes among 81 strains of Y. enterocolitica biovar 1A. MLVA was found to be quite discriminatory (DI = 0.87). Cluster analysis and population modelling using minimum spanning tree (MST) clearly clustered Y. enterocolitica biovar 1A into two major groups. CONCLUSIONS: The MLVA is easy to perform and can be used to discern clonal relationship among strains of Y. enterocolitica. Also the phylogenetic relationships obtained with MLVA genotypes were in good agreement with those established by other typing methods. SIGNIFICANCE AND IMPACT OF THE STUDY: The MLVA method reported is relatively more discriminatory than the other genotyping methods and has the potential to be used as an epidemiological tool for the study of strains of Y. enterocolitica biovar 1A.
Key concepts: Multiple Loci VNTR Analysis, Biovar, Yersinia enterocolitica, Biology, Variable number tandem repeat, Genotyping, Genetics, Multilocus sequence typing