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Source Attribution of Human Campylobacter Isolates by MLST and Fla-Typing and Association of Genotypes with Quinolone Resistance

Overview of attention for article published in PLOS ONE, November 2013
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Title
Source Attribution of Human Campylobacter Isolates by MLST and Fla-Typing and Association of Genotypes with Quinolone Resistance
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0081796
Pubmed ID
Authors

Sonja Kittl, Gerald Heckel, Bożena M. Korczak, Peter Kuhnert

Abstract

Campylobacteriosis is the most frequent zoonosis in developed countries and various domestic animals can function as reservoir for the main pathogens Campylobacter jejuni and Campylobacter coli. In the present study we compared population structures of 730 C. jejuni and C. coli from human cases, 610 chicken, 159 dog, 360 pig and 23 cattle isolates collected between 2001 and 2012 in Switzerland. All isolates had been typed with multi locus sequence typing (MLST) and flaB-typing and their genotypic resistance to quinolones was determined. We used complementary approaches by testing for differences between isolates from different hosts with the proportion similarity as well as the fixation index and by attributing the source of the human isolates with Bayesian assignment using the software STRUCTURE. Analyses were done with MLST and flaB data in parallel and both typing methods were tested for associations of genotypes with quinolone resistance. Results obtained with MLST and flaB data corresponded remarkably well, both indicating chickens as the main source for human infection for both Campylobacter species. Based on MLST, 70.9% of the human cases were attributed to chickens, 19.3% to cattle, 8.6% to dogs and 1.2% to pigs. Furthermore we found a host independent association between sequence type (ST) and quinolone resistance. The most notable were ST-45, all isolates of which were susceptible, while for ST-464 all were resistant.

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The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 108 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Researcher 17 15%
Student > Master 14 13%
Professor > Associate Professor 7 6%
Student > Bachelor 7 6%
Other 19 17%
Unknown 26 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 27%
Biochemistry, Genetics and Molecular Biology 11 10%
Veterinary Science and Veterinary Medicine 11 10%
Medicine and Dentistry 9 8%
Immunology and Microbiology 6 5%
Other 15 14%
Unknown 29 26%