Title |
Population structure and antimicrobial susceptibility of Pseudomonas aeruginosa from animal infections in France
|
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Published in |
BMC Veterinary Research, January 2015
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DOI | 10.1186/s12917-015-0324-x |
Pubmed ID | |
Authors |
Marisa Haenni, Didier Hocquet, Cécile Ponsin, Pascal Cholley, Christophe Guyeux, Jean-Yves Madec, Xavier Bertrand |
Abstract |
Background Pseudomonas aeruginosa is a major human pathogen, which also affects animals. It is thought that P. aeruginosa has a non-clonal epidemic population structure, with distinct isolates found in humans, animals or the environment. However, very little is known about the structure of the P. aeruginosa population from diseased animals. Data on antimicrobial resistance are also scarce.ResultsThirty-four already registered and 19 new MLST profiles were identified. Interestingly, a few clones were more prevalent, and clones associated to human outbreaks were also detected. Multidrug resistance phenotypes were overall rare.ConclusionWe highlight the non clonal structure of the population and show a higher prevalence of specific clones, possibly correlating with higher pathogenicity. The low proportion of antimicrobial resistance contrasts with the high resistance rate of human isolates. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 10% |
Spain | 1 | 10% |
United States | 1 | 10% |
United Kingdom | 1 | 10% |
Canada | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Estonia | 1 | 1% |
Unknown | 85 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 16% |
Student > Ph. D. Student | 12 | 14% |
Student > Bachelor | 11 | 13% |
Student > Doctoral Student | 7 | 8% |
Researcher | 6 | 7% |
Other | 12 | 14% |
Unknown | 24 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 19% |
Veterinary Science and Veterinary Medicine | 11 | 13% |
Medicine and Dentistry | 10 | 12% |
Biochemistry, Genetics and Molecular Biology | 8 | 9% |
Immunology and Microbiology | 7 | 8% |
Other | 8 | 9% |
Unknown | 26 | 30% |