Multi-laboratory validation study of multilocus variablenumber tandem repeat analysis (MLVA) for Salmonella enterica serovar Enteritidis, 2015

  • Tansy Peters
  • , S. Bertrand
  • , J. T. Björkman
  • , L. T. Brandal
  • , D. J. Brown
  • , T. Erdõsi
  • , M. Heck
  • , S. Ibrahem
  • , K. Johansson
  • , C. Kornschober
  • , Saara M. Kotila
  • , S. Le Hello
  • , T. Lienemann
  • , W. Mattheus
  • , E. M. Nielsen
  • , C. Ragimbeau
  • , J. Rumore
  • , A. Sabol
  • , M. Torpdahl
  • , E. Trees
  • A. Tuohy, E. De Pinna

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    Abstract

    Multilocus variable-number tandem repeat analysis (MLVA) is a rapid and reproducible typing method that is an important tool for investigation, as well as detection, of national and multinational outbreaks of a range of food-borne pathogens. Salmonella enterica serovar Enteritidis is the most common Salmonella serovar associated with human salmonellosis in the European Union/European Economic Area and North America. Fourteen laboratories from 13 countries in Europe and North America participated in a validation study for MLVA of S. Enteritidis targeting five loci. Following normalisation of fragment sizes using a set of reference strains, a blinded set of 24 strains with known allele sizes was analysed by each participant. The S. Enteritidis 5-loci MLVA protocol was shown to produce internationally comparable results as more than 90% of the participants reported less than 5% discrepant MLVA profiles. All 14 participating laboratories performed well, even those where experience with this typing method was limited. The raw fragment length data were consistent throughout, and the interlaboratory validation helped to standardise the conversion of raw data to repeat numbers with at least two countries updating their internal procedures. However, differences in assigned MLVA profiles remain between well-established protocols and should be taken into account when exchanging data.

    Original languageEnglish
    Article number2
    JournalEurosurveillance
    Volume22
    Issue number9
    DOIs
    Publication statusPublished - 2 Mar 2017

    Bibliographical note

    Publisher Copyright:
    © 2017, European Centre for Disease Prevention and Control (ECDC). All rights reserved.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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