MLVA and com1 genotyping of Coxiella burnetii in farmed ruminants in Great Britain

Vet Microbiol. 2023 Feb:277:109629. doi: 10.1016/j.vetmic.2022.109629. Epub 2022 Dec 9.

Abstract

Coxiella burnetii, the causative agent of the zoonotic disease Q fever, has been shown to be endemic in Great Britain, but information on the prevailing genomic lineages or Genomic Groups (GGs) of Coxiella burnetii is limited. The aim of this study was to genotype C. burnetii isolates from infected farmed ruminants by Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) and identify their associated Genomic Group. A total of 51 Coxiella-containing abortion samples from farmed ruminants (sheep, goats, and cattle), which were collected in Great Britain during 2013-2018, were included in the study, 34 of which returned a C. burnetii MLVA genotype. All bovine samples (n = 18), 5/7 of the ovine samples, and 3/9 of the caprine samples belonged to an MLVA cluster which we could link to the MST20 genotype of GG III, whereas 6/9 of the caprine samples and 2/7 of the ovine samples belonged to MLVA clusters which we could link to the MST33 or MST32 genotypes of GG II (7 vs 1 sample(s), respectively). We also noted that the Coxiella-specific com1 gene contained unique mutations that could genomotype isolates, i.e. assign them to a Genomic Group. In conclusion, both goats and sheep in Great Britain (from 2014 onward) were found to carry the same MLVA genotypes (MST33-like; GG II) that were linked to a human Q fever outbreak in the Netherlands. This knowledge in combination with the usage of genotyping/genomotyping methods should prove useful in future surveillance programs and in the management of outbreaks.

Keywords: Coxiella burnetii; Farmed ruminants; Great Britain; MLVA genotyping.

MeSH terms

  • Animals
  • Cattle
  • Cattle Diseases* / epidemiology
  • Coxiella burnetii* / genetics
  • Genotype
  • Goat Diseases* / epidemiology
  • Goats
  • Humans
  • Q Fever* / epidemiology
  • Q Fever* / veterinary
  • Sheep
  • Sheep Diseases* / epidemiology
  • United Kingdom / epidemiology