Bacillus cereus-induced food-borne outbreaks in France, 2007 to 2014: epidemiology and genetic characterisation

Benjamin Glasset (1, 2, 3) , S. Herbin (2, 3) , Laurent Guillier (2, 3) , S. Cadel-Six (2, 3) , M. Vignaud (2, 3) , J. Grout (2, 3) , S. Pairaud (2, 3) , V. Michel (4) , J. Hennekinne (2, 3) , Nalini Rama Rao (1, 5) , A. Brisabois (2, 3)

1 MICALIS - MICrobiologie de l'ALImentation au Service de la Santé
2 LSAl - Laboratoire de sécurité des aliments de Maisons-Alfort
3 UPE - Université Paris-Est
4 ACTALIA [Villers-Bocage]
5 Université Paris-Saclay

The aim of this study was to identify and characterise Bacillus cereus from a unique national collection of 564 strains associated with 140 strong-evidence food-borne outbreaks (FBOs) occurring in France during 2007 to 2014. Starchy food and vegetables were the most frequent food vehicles identified; 747 of 911 human cases occurred in institutional catering contexts. Incubation period was significantly shorter for emetic strains compared with diarrhoeal strains A sub-panel of 149 strains strictly associated to 74 FBOs and selected on Coliphage M13-PCR pattern, was studied for detection of the genes encoding cereulide, diarrhoeic toxins (Nhe, Hbl, CytK1 and CytK2) and haemolysin (HlyII), as well as panC phylogenetic classification. This clustered the strains into 12 genetic signatures (GSs) highlighting the virulence potential of each strain. GS1 (nhe genes only) and GS2 (nhe, hbl and cytK2), were the most prevalent GS and may have a large impact on human health as they were present in 28% and 31% of FBOs, respectively. Our study provides a convenient molecular scheme for characterisation of B. cereus strains responsible for FBOs in order to improve the monitoring and investigation of B. cereus-induced FBOs, assess emerging clusters and diversity of strains.

Domaines: Sciences du Vivant [q-bio]

Benjamin Glasset, S. Herbin, Laurent Guillier, S. Cadel-Six, M. Vignaud, et al.. Bacillus cereus-induced food-borne outbreaks in France, 2007 to 2014: epidemiology and genetic characterisation. Eurosurveillance, 2016, 21 (48), pp.18-28. ⟨10.2807/1560-7917.ES.2016.21.48.30413⟩. ⟨hal-01606138⟩