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Staphylococcus aureus strains associated with food poisoning outbreaks in France: comparison of different molecular typing methods, including MLVA

Overview of attention for article published in Frontiers in Microbiology, September 2015
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Title
Staphylococcus aureus strains associated with food poisoning outbreaks in France: comparison of different molecular typing methods, including MLVA
Published in
Frontiers in Microbiology, September 2015
DOI 10.3389/fmicb.2015.00882
Pubmed ID
Authors

Sophie Roussel, Benjamin Felix, Noémie Vingadassalon, Joël Grout, Jacques-Antoine Hennekinne, Laurent Guillier, Anne Brisabois, Fréderic Auvray

Abstract

Staphylococcal food poisoning outbreaks (SFPOs) are frequently reported in France. However, most of them remain unconfirmed, highlighting a need for a better characterization of isolated strains. Here we analyzed the genetic diversity of 112 Staphylococcus aureus strains isolated from 76 distinct SFPOs that occurred in France over the last 30 years. We used a recently developed multiple-locus variable-number tandem-repeat analysis (MLVA) protocol and compared this method with pulsed field gel electrophoresis (PFGE), spa-typing and carriage of genes (se genes) coding for 11 staphylococcal enterotoxins (i.e., SEA, SEB, SEC, SED, SEE, SEG, SEH, SEI, SEJ, SEP, SER). The strains known to have an epidemiological association with one another had identical MLVA types, PFGE profiles, spa-types or se gene carriage. MLVA, PFGE and spa-typing divided 103 epidemiologically unrelated strains into 84, 80, and 50 types respectively demonstrating the high genetic diversity of S. aureus strains involved in SFPOs. Each MLVA type shared by more than one strain corresponded to a single spa-type except for one MLVA type represented by four strains that showed two different-but closely related-spa-types. The 87 enterotoxigenic strains were distributed across 68 distinct MLVA types that correlated all with se gene carriage except for four MLVA types. The most frequent se gene detected was sea, followed by seg and sei and the most frequently associated se genes were sea-seh and sea-sed-sej-ser. The discriminatory ability of MLVA was similar to that of PFGE and higher than that of spa-typing. This MLVA protocol was found to be compatible with high throughput analysis, and was also faster and less labor-intensive than PFGE. MLVA holds promise as a suitable method for investigating SFPOs and tracking the source of contamination in food processing facilities in real time.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Master 6 12%
Student > Bachelor 6 12%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Other 9 18%
Unknown 14 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 5 10%
Immunology and Microbiology 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Other 6 12%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2015.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Frontiers in Microbiology
#22,393
of 24,791 outputs
Outputs of similar age
#224,820
of 267,781 outputs
Outputs of similar age from Frontiers in Microbiology
#336
of 417 outputs
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So far Altmetric has tracked 24,791 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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