Development and validation of a multiple locus variable number tandem repeat analysis (MLVA) scheme for Fusobacterium necrophorum

Rachel Clifton, Laura E. Green, Kevin J. Purdy

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2 Citations (Scopus)
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Abstract

Fusobacterium necrophorum is associated with various diseases in humans and animals. Reservoirs (sites where the pathogen persists in the absence of disease) of F. necrophorum are believed to be present in healthy individuals e.g. tonsillar epithelium, or their environment e.g. soil, but for most diseases the reservoir sites are unknown. Strain typing of F. necrophorum would facilitate linking specific reservoirs with a specific disease. The aim of this study was to develop multiple locus variable number tandem repeat analysis (MLVA) as a strain typing technique for F. necrophorum, and to test the use of this scheme to analyse both isolates and mixed communities of bacteria. Seventy-three tandem repeat regions were identified in the F. necrophorum genome; three of these loci were suitable and developed as a MLVA scheme. The MLVA scheme was sensitive, specific, and discriminatory for both isolates and communities of F. necrophorum. The MLVA scheme strain typed 46/52 F. necrophorum isolates including isolates of both subspecies and from different countries, host species and sample sites within host. There were 12 unique MLVA strain types that clustered by subspecies. The MLVA scheme characterised the F. necrophorum community in DNA from 32/49 foot- and 28/33 mouth swabs from sheep. There were 17 community types in total. In 31/32 foot swabs, single strains of F. necrophorum were detected while in the 28 mouth swabs there were up to a maximum of 8 strains of F. necrophorum detected. The results demonstrate the potential for this method to elucidate reservoirs of F. necrophorum.
Original languageEnglish
Pages (from-to)108-113
Number of pages6
JournalVeterinary Microbiology
Volume213
Early online date21 Nov 2017
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Fusobacterium necrophorum
  • Community
  • Strain typing
  • MLVA

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