Literature DB >> 17266711

Tracing isolates of bacterial species by multilocus variable number of tandem repeat analysis (MLVA).

Alex van Belkum1.   

Abstract

All bacterial genomes contain multiple loci of repetitive DNA. Repeat unit sizes and repeat sequences may vary when multiple loci are considered for different isolates of an individual microbial species. Moreover, it has been documented on many occasions that the number of repeat units per locus is a strain-defining parameter. Consequently, there is isolate-specificity in the number of repeats per locus when different strains of a given bacterial species are compared. The experimental assessment of this variability for a number of different loci has been called 'multilocus variable number of tandem repeat analysis' (MLVA). The approach can be supported or extended by locus-specific DNA sequencing for establishing mutations in the individual repeat units, which usually enhances the resolution of the approach considerably. Essentially, MLVA with or without supportive sequencing has been developed for all of the medically relevant bacterial species and can be used effectively for tracing outbreaks or other forms of bacterial dissemination. MLVA is a modern, timely and versatile bacterial typing methodology.

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Year:  2007        PMID: 17266711     DOI: 10.1111/j.1574-695X.2006.00173.x

Source DB:  PubMed          Journal:  FEMS Immunol Med Microbiol        ISSN: 0928-8244


  62 in total

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8.  High-throughput typing of Staphylococcus aureus by amplified fragment length polymorphism (AFLP) or multi-locus variable number of tandem repeat analysis (MLVA) reveals consistent strain relatedness.

Authors:  D C Melles; L Schouls; P François; S Herzig; H A Verbrugh; A van Belkum; J Schrenzel
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9.  Multiple-locus variable-number tandem-repeat assay analysis of methicillin-resistant Staphylococcus aureus strains.

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10.  PCR-based rapid genotyping of Stenotrophomonas maltophilia isolates.

Authors:  Emanuela Roscetto; Francesco Rocco; M Stella Carlomagno; Mariassunta Casalino; Bianca Colonna; Raffaele Zarrilli; Pier Paolo Di Nocera
Journal:  BMC Microbiol       Date:  2008-11-24       Impact factor: 3.605

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