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Genotypic diversity of clinical Coxiella burnetii isolates from Portugal based on MST and MLVA typing

  • Ana Sofia Santos*
  • , Jeroen J H C Tilburg
  • , Ana Botelho
  • , Maria José Barahona
  • , Maria Sofia Núncio
  • , Marrigje H Nabuurs-Franssen
  • , Corné H W Klaassen
  • *Corresponding author for this work
  • National Institute of Health Dr. Ricardo Jorge
  • Canisius Wilhelmina Hospital
  • National Veterinary Research Laboratory (Portugal)

Research output: Contribution to journalArticleAcademicpeer-review

56 Citations (Scopus)

Abstract

The temporal and spatial diversity of Coxiella burnetii genotypes associated with human and animal disease in Portugal was analysed using a 6-locus multiple-locus variable-number tandem repeat analysis (MLVA) and a 10-locus multi-spacer sequence typing (MST) panel. Fifteen cultured C. burnetii isolates from 13 Q fever patients and a stillborn goat and 6 additional PCR-positive ruminant tissue samples obtained during 2006-2011 were included in this study. Seven MLVA genotypes (types S-Y) were obtained, including 4 new MLVA types (U, V, W, and X), all corresponding to 3 MST profiles (types 4, 8, and 13) previously reported from France and Spain. MLVA types U-Y, all belonging to MST type 4, were found in acute Q fever patients from the districts of Évora, Faro, Lisbon, and Setúbal. Different MLVA types were associated with goats from Castelo Branco district (S) and chronic Q fever patients from both Castelo Branco and Lisboa districts (S and T), matching with MST types 13 and 8, respectively. In conclusion, a genotypic diversity of C. burnetii consistent with a non-outbreak situation was identified. The involvement of different genotypes in acute and chronic Q fever was found, linking one of the chronic genotypes to goats from the eastern region of the country.

Original languageEnglish
Pages (from-to)253-256
Number of pages4
JournalInternational Journal of Medical Microbiology
Volume302
Issue number6
DOIs
Publication statusPublished - Nov 2012
Externally publishedYes

Bibliographical note

Copyright © 2012 Elsevier GmbH. 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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