Multiple-locus variable-number tandem repeat analysis, a novel typing scheme to study the genetic relatedness and epidemiology of Enterococcus faecium isolates
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Top, J
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机构:Univ Utrecht, Med Ctr, Eijkman Winkler Inst Microbiol Infect Dis & Infla, NL-3508 GA Utrecht, Netherlands
Top, J
Schouls, LM
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机构:Univ Utrecht, Med Ctr, Eijkman Winkler Inst Microbiol Infect Dis & Infla, NL-3508 GA Utrecht, Netherlands
Schouls, LM
Bonten, MJM
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机构:Univ Utrecht, Med Ctr, Eijkman Winkler Inst Microbiol Infect Dis & Infla, NL-3508 GA Utrecht, Netherlands
Bonten, MJM
Willems, RJL
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机构:Univ Utrecht, Med Ctr, Eijkman Winkler Inst Microbiol Infect Dis & Infla, NL-3508 GA Utrecht, Netherlands
Willems, RJL
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[1] Univ Utrecht, Med Ctr, Eijkman Winkler Inst Microbiol Infect Dis & Infla, NL-3508 GA Utrecht, Netherlands
[2] Univ Utrecht, Med Ctr, Dept Internal Med, Div Acute Internal Med & Infect Dis, NL-3508 GA Utrecht, Netherlands
Multiresistant Enterococcus faecium is a major cause of hospital acquired infections and outbreaks. Here, we describe the development of multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA) as a novel typing method to assess the genetic relatedness of E. faecium isolates. Six VNTR loci were used to genotype 392 isolates recovered from different animals and human community, hospital survey, and clinical isolates. From 3 to 13 alleles were found per locus, resulting in 127 different MLVA profiles. Clustering of MLVA profiles confirmed the host-specific genogroups found by multilocus sequence typing (MLST) and showed the grouping of clinical and epidemic isolates that belonged to the MLST-C1 cluster in a distinct MLVA-C1 cluster (sensitivity of 97% and specificity of 90%). Furthermore, the discriminatory power of MLVA is comparable to MLST. MLVA profiles appeared to be relatively stable, since isolates from a single outbreak shared the same MLVA profile, which is a prerequisite when MLVA is used to study hospital outbreaks. Our data show that MLVA is a highly reproducible and portable typing method; in contrast to MLST, it is fast, relatively cheap, and easy to perform. Furthermore, it has the abilities of MLST to recognize genetically related and potential epidemic isolates. Submission of MLVA profiles is possible via a Web-based database for international comparison.