High-resolution genetic fingerprinting of European strains of Anaplasma phagocytophilum by use of multilocus variable-number tandem-repeat analysis

Kevin J. Bown, Xavier Lambin, Nicholas H. Ogden, Miroslav Petrovec, Susan E. Shaw, Zerai Woldehiwet, Richard J. Birtles

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

Anaplasma phagocytophilum is a widely distributed tick-borne pathogen of humans, livestock, and companion animals. We used in silico methods to identify 10 variable-number tandem-repeat (VNTR) loci within the genome sequence of the A. phagocytophilum HZ strain and used these data to develop a multilocus VNTR-based typing scheme for the species. Having confirmed the stability of four of the loci in replicates of the A. phagocytophilum strain that had been subjected to different numbers of passages through cell cocultures in vitro, we then used this typing scheme to discriminate between 20 A. phagocytophilum strains of diverse geographical and host provenances. Extensive diversity was found at each of the four loci studied, with total allele numbers ranging from 13 to 18 and Hunter-Gaston discriminatory index values ranging from 0.93 to 0.99. Only 2 of the 20 strains examined shared alleles at all four loci. The discriminatory power of VNTR analysis was found to be greater than that of either partial msp4 or 16S rRNA gene sequence comparison. The extremely high sensitivity of this novel approach to the genetic fingerprinting of A. phagocytophilum strains should serve well in molecular epidemiological studies of infection transmission, particularly when fine-scale strain delineation is required.

Original languageEnglish
Pages (from-to)1771-1776
Number of pages6
JournalJournal of Clinical Microbiology
Volume45
Issue number6
Early online date18 Apr 2007
DOIs
Publication statusPublished - Jun 2007

Keywords

  • Ixodes-ricinus ticks
  • Borrelia-burgdorferi
  • ehrlichia-phagocytophila
  • multiple-locus
  • sequence-analysis
  • diversity
  • identification
  • prevalence
  • infection
  • variants

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