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Longitudinal study of the molecular epidemiology of Campylobacter jejuni in cattle on dairy farms

  • Patrick S.L. Kwan
  • , Andrew Birtles
  • , Frederick J. Bolton
  • , Nigel P. French
  • , Susan E. Robinson
  • , Lynne S. Newbold
  • , Mathew Upton
  • , Andrew J. Fox

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)

Abstract

Multilocus sequence typing (MLST), an accurate and phylogenetically robust characterization method for population studies of Campylobacter, was applied to Campylobacter jejuni isolates (n = 297) from the fecal samples of cattle from five dairy farms in Cheshire, United Kingdom, collected throughout 2003. The population dynamics of the C. jejuni strains, as identified by the occurrence of sequence types and clonal complexes, demonstrated variations within and between cattle populations over time. Three clonal lineages have emerged to predominate among the cattle isolates, namely, the ST-61 complex (24.2%), ST-21 complex (23.6%), and ST-42 complex (20.5%). This provided further evidence that the ST-61 clonal complex may present a cattle-adapted C. jejuni genotype. In addition, the ST-42 clonal complex may also represent an important cattle-associated genotype. Strong geographical associations for these genotypes were also found among the farms. This is the first longitudinal study and the largest study to date for C. jejuni involving cattle populations using MLST for accurate strain characterization. This study shows the important associations between cattle and C. jejuni clonal complexes ST-61, ST-21, and ST-42, and it suggests that cattle and/or dairy products are likely to be a source of the human Campylobacter gastroenteritis caused by such genotypes. The reported findings have significant implications for the design of effective intervention strategies for disease control and prevention.

Original languageEnglish
Pages (from-to)3626-3633
Number of pages8
JournalApplied and Environmental Microbiology
Volume74
Issue number12
DOIs
Publication statusPublished - Jun 2008

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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