Genotypic characterization of hospitalEnterococcus faecalisstrains using multiple-locus variable-number tandem-repeat analysis
Ewa Wałecka , Jacek Bania , E. Dworniczek , Maciej Ugorski
AbstractAims:The level of genetic diversity and relationships between the specificgenotypes and the distribution of virulence determinants amongEnterococcusfaecalisstrains isolated from patients hospitalized in different wards of twohospitals were investigated.Methods and Results:Fifty-six clinical strains ofE. faecalis, isolated frompatients hospitalized in the period of 1999–2004 in several wards in Wrocław(Poland), were analysed by multiple-locus variable-number tandem-repeat anal-ysis (MLVA). Analysis of seven genomic loci identified 40 novel genotypesamong the analysedE. faecalisstrains, with two major genomic groups, desig-nated I and II, distinguished at a cut-off of 35%. With a similarity cut-off of85Æ7%, the genotypes could be combined into 12 clusters (C1–C12), containingat least two isolates. The remaining 18 MLVA types were represented by a sin-gle isolate.Conclusions:Based on the data obtained by MLVA, it was found that (i) manyE. faecalisisolates recovered from patients from the wards whose locationallowed the potential transmission of micro-organisms, belonged to closelyrelated MLVA types and (ii) possible relationships between specificE. faecalisgenotype and the virulence factors lipase, haemolysin andespgene can exist.Significance and Impact of the Study:Our study confirms that MLVA is asuitable method for the epidemiological study ofE. faecalisand for the firsttime shows possible relationships between specific genotypes and such virulencedeterminants, i.e. lipase, haemolysin and esp gene.
|Journal series||Letters in Applied Microbiology, ISSN 0266-8254, e-ISSN 1472-765X, (A 20 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Enterococcus faecalis, MLVA, typing, virulencefactors|
|License||Journal (articles only); author's original; ; after publication|
|Publication indicators||= 7; : 2014 = 0.968; : 2009 = 1.64 (2) - 2009=1.955 (5)|
|Citation count*||11 (2020-07-06)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.