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Molecular analysis of Coxiella burnetii in Germany reveals evolution of unique clonal clusters.
- Source :
-
International journal of medical microbiology : IJMM [Int J Med Microbiol] 2014 Oct; Vol. 304 (7), pp. 868-76. Date of Electronic Publication: 2014 Jun 27. - Publication Year :
- 2014
-
Abstract
- The causative agent of Q fever, Coxiella burnetii, is a query agent occurring naturally all over the world. We studied 104 German Coxiella burnetii strains/DNA samples obtained between 1969 and 2011 using a 14 microsatellite marker Multiple-locus variable-number of tandem repeat (VNTR) analysis (MLVA) technique. We were able to divide our collection into 32 different genotypes clustered into four major groups (A-D). Two of these (A and C) formed predominant clonal complexes that covered 97% of all studied samples. Group C consisted exclusively of cattle-associated isolates/DNA specimens, while group A comprised all other affected species including all sheep-derived strains/DNA samples. Within this second cluster, two major genotypes (A1, A2) were identified. Genotype A2 occurred in strains isolated from ewes in northern and central Germany, whereas genotype A1 was found in most areas of Germany. MLVA analysis of C. burnetii strains from neighbouring countries revealed a close relationship to German strains. We thus hypothesize that there is a western and central European cluster of C. burnetii. We identified predominant genotypes related to relevant host species and geographic regions which is in line with findings of the Dutch Q fever outbreak (2007-2010). Furthermore three of our analyzed German strains are closely related to the Dutch outbreak clone. These findings support the theory of predominant genotypes in the context of regional outbreaks. Our results show that a combination of 8 MLVA markers provides the highest discriminatory power for attributing C. burnetii isolates to genotypes. For future epidemiological studies we propose the use of three MLVA markers for easy and rapid classification of C. burnetii into 4 main clusters.<br /> (Copyright © 2014 Elsevier GmbH. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1618-0607
- Volume :
- 304
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- International journal of medical microbiology : IJMM
- Publication Type :
- Academic Journal
- Accession number :
- 25037926
- Full Text :
- https://doi.org/10.1016/j.ijmm.2014.06.011