The rrn locus and gyrB genotyping confirm the existence of two clonal groups in strains of Yersinia enterocolitica subspecies palearctica biovar 1A

Genotyping of Yersinia enterocolitica biotype 1A strains from clinical and nonclinical origins by pulsed-field gel electrophoresis

Yersinia enterocolitica biotype 1A (B1A) strains are considered mainly nonpathogenic. However, some studies considered strains of this biotype to be the causal agents of infections in humans and animals. In South America, there are no studies that have compared clinical and nonclinical strains of B1A typed by pulsed-field gel electrophoresis (PFGE) and none that have compared the capability of different enzymes on typing these strains. This study typed 51 Y. enterocolitica B1A strains isolated in Brazil and Chile by PFGE, testing the enzymes XbaI, NotI, and XhoI. The resulting dendrograms discriminated the strains in 47, 40, and 49 pulsotypes generated by the cleavage with the enzymes XbaI, NotI, and XhoI, respectively. The majority of the strains were grouped independently of their clinical or nonclinical origins. The high discriminatory power of PFGE confirmed the heterogeneity of B1A strains but could not divide the strains studied into clusters that differed in the frequency of some virulence genes as observed in studies using other methodologies.

Interaction of Yersinia enterocolitica biovar 1A with cultured cells in vitro does not reflect the two previously identified clonal groups

Yersinia enterocolitica biovar 1A strains have been delineated into two clonal groups (A and B) based on repetitive extragenic palindrome- and enterobacterial repetitive intergenic consensus-PCR genotyping. The present study investigated the interaction of Y. enterocolitica biovar 1A strains with cultured cells in vitro by their ability to adhere, invade and survive within these cells. The response of macrophages to these strains was also studied by quantifying the expression of inducible nitric oxide synthase, production of nitric oxide and cytokines, and activation of NFκB. The survival rate of clonal group B strains inside macrophages was significantly higher than that of clonal group A strains. In addition, strains harbouring the fepA gene showed better survival inside macrophages. However, the production of nitric oxide and cytokines and activation of NFκB did not show any significant differences between the two clonal groups. In this study, interaction of Y. enterocolitica biovar 1A with cultured cells in vitro did not reflect the previously identified clonal groups, but was more dependent on the characteristics of the individual strains. Therefore, a combination of genotype and phenotype data must be used to characterize this extremely heterogeneous organism.

Clinical isolates of Yersinia enterocolitica biotype 1A represent two phylogenetic lineages with differing pathogenicity-related properties

Background

Y. enterocolitica biotype (BT) 1A strains are often isolated from human clinical samples but their contribution to disease has remained a controversial topic. Variation and the population structure among the clinical Y. enterocolitica BT 1A isolates have been poorly characterized. We used multi-locus sequence typing (MLST), 16S rRNA gene sequencing, PCR for ystA and ystB, lipopolysaccharide analysis, phage typing, human serum complement killing assay and analysis of the symptoms of the patients to characterize 298 clinical Y. enterocolitica BT 1A isolates in order to evaluate their relatedness and pathogenic potential.

Results

A subset of 71 BT 1A strains, selected based on their varying LPS patterns, were subjected to detailed genetic analyses. The MLST on seven house-keeping genes (adk, argA, aroA, glnA, gyrB, thrA, trpE) conducted on 43 of the strains discriminated them into 39 MLST-types. By Bayesian analysis of the population structure (BAPS) the strains clustered conclusively into two distinct lineages, i.e. Genetic groups 1 and 2. The strains of Genetic group 1 were more closely related (97% similarity) to the pathogenic bio/serotype 4/O:3 strains than Genetic group 2 strains (95% similarity). Further comparison of the 16S rRNA genes of the BT 1A strains indicated that altogether 17 of the 71 strains belong to Genetic group 2. On the 16S rRNA analysis, these 17 strains were only 98% similar to the previously identified subspecies of Y. enterocolitica. The strains of Genetic group 2 were uniform in their pathogenecity-related properties: they lacked the ystB gene, belonged to the same LPS subtype or were of rough type, were all resistant to the five tested yersiniophages, were largely resistant to serum complement and did not ferment fucose. The 54 strains in Genetic group 1 showed much more variation in these properties. The most commonly detected LPS types were similar to the LPS types of reference strains with serotypes O:6,30 and O:6,31 (37%), O:7,8 (19%) and O:5 (15%).

Conclusions

The results of the present study strengthen the assertion that strains classified as Y. enterocolitica BT 1A represent more than one subspecies. Especially the BT 1A strains in our Genetic group 2 commonly showed resistance to human serum complement killing, which may indicate pathogenic potential for these strains. However, their virulence mechanisms remain unknown.

Identification and distribution of putative virulence genes in clinical strains of Yersinia enterocolitica biovar 1A by suppression subtractive hybridization

AIMS

To detect putative virulence genes in clinical strains of Yersinia enterocolitica biovar 1A by suppression subtractive hybridization between two closely related strains of clinical and nonclinical origin having the same serotype (O:6,30-6,31).

METHODS AND RESULTS

Suppression Subtractive Hybridization (SSH) was used to identify genomic differences between clinical (serotype O:6,30-6,31, from diarrhoeic human stools) and nonclinical (serotype O:6,30-6,31, from wastewater) strains of Y. enterocolitica biovar 1A. Following genomic subtraction and DNA sequencing, nine DNA sequences that were present only in clinical biovar 1A strains were identified. The sequences identified using SSH showed similarity to conserved hypothetical proteins, proteins related to iron acquisition and haemin storage, type 1 secretion proteins, flagellar hook proteins, exported protein and ABC transport system. All these sequences showed high similarity with Y. enterocolitica 8081 (biovar 1B). The distribution of these genes was further analysed using PCR in 26 clinical strains of Y. enterocolitica biovar 1A. The results revealed that the distribution of these genes was not uniform.

CONCLUSIONS

Genes related to iron acquisition and storage, and flagellar proteins might be responsible for virulence of some of the clinical strains of Y. enterocolitica biovar 1A.

SIGNIFICANCE AND IMPACT OF THE STUDY

Genes identified in this study might be useful in understanding the pathogenic potential of clinical strains of Y. enterocolitica biovar 1A.

Genetic relationships between clinical and non-clinical strains of Yersinia enterocolitica biovar 1A as revealed by multilocus enzyme electrophoresis and multilocus restriction typing

Background

Genetic relationships among 81 strains of Y. enterocolitica biovar 1A isolated from clinical and non-clinical sources were discerned by multilocus enzyme electrophoresis (MLEE) and multilocus restriction typing (MLRT) using six loci each. Such studies may reveal associations between the genotypes of the strains and their sources of isolation.

Results

All loci were polymorphic and generated 62 electrophoretic types (ETs) and 12 restriction types (RTs). The mean genetic diversity (H) of the strains by MLEE and MLRT was 0.566 and 0.441 respectively. MLEE (DI = 0.98) was more discriminatory and clustered Y. enterocolitica biovar 1A strains into four groups, while MLRT (DI = 0.77) identified two distinct groups. BURST (Based Upon Related Sequence Types) analysis of the MLRT data suggested aquatic serotype O:6,30-6,31 isolates to be the ancestral strains from which, clinical O:6,30-6,31 strains might have originated by host adaptation and genetic change.

Conclusion

MLEE revealed greater genetic diversity among strains of Y. enterocolitica biovar 1A and clustered strains in four groups, while MLRT grouped the strains into two groups. BURST analysis of MLRT data nevertheless provided newer insights into the probable evolution of clinical strains from aquatic strains.

Multilocus variable number tandem repeat analysis as a tool to discern genetic relationships among strains of Yersinia enterocolitica biovar 1A

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.