Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Bacillus cereus, a serious cause of nosocomial infections: Epidemiologic and genetic survey

  • Benjamin Glasset,

    Roles Conceptualization, Formal analysis, Methodology, Validation, Writing – original draft

    Affiliations Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France, Université Paris-Est, Anses, Laboratory for Food Safety, Maisons-Alfort, France

  • Sabine Herbin,

    Roles Conceptualization, Formal analysis, Methodology, Resources, Software, Supervision, Writing – review & editing

    Affiliation Université Paris-Est, Anses, Laboratory for Food Safety, Maisons-Alfort, France

  • Sophie A. Granier,

    Roles Conceptualization, Methodology, Supervision

    Affiliation Université Paris-Est, Anses, Laboratory for Food Safety, Maisons-Alfort, France

  • Laurent Cavalié,

    Roles Methodology, Resources

    Affiliation CHU Toulouse, Service de Bactériologie-Hygiène, IRSD, Université de Toulouse, INSERM, INRA, ENVT, UPS, Toulouse, France

  • Emilie Lafeuille,

    Roles Methodology, Resources

    Affiliations Sorbonne Universités, UPMC Univ Paris 06, Inserm, U1135, Centre d’Immunologie et des Maladies Infectieuses (CIMI-Paris), Paris, France, Laboratoire de Bactériologie-Hygiène, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP, Paris, France

  • Cyprien Guérin,

    Roles Formal analysis, Methodology, Software

    Affiliation MaiAGE, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France

  • Raymond Ruimy,

    Roles Methodology, Resources, Validation

    Affiliation CHU Nice, Laboratoire de bactériologie, Nice, France

  • Florence Casagrande-Magne,

    Roles Methodology, Resources

    Affiliation CHU Nice, Laboratoire de bactériologie, Nice, France

  • Marion Levast,

    Roles Methodology, Resources

    Affiliation Hôpital de Chambéry, Laboratoire de Biologie Médicale, Chambéry, France

  • Nathalie Chautemps,

    Roles Methodology, Resources

    Affiliation Hôpital de Chambéry, Laboratoire de Biologie Médicale, Chambéry, France

  • Jean-Winoc Decousser,

    Roles Methodology, Resources

    Affiliation Hôpitaux Universitaires Paris-Sud Antoine Béclère, Laboratoire Hygiène, Clamart, France

  • Laure Belotti,

    Roles Methodology, Resources

    Affiliation CHU Strasbourg, Laboratoire d’hygiène hospitalière, Strasbourg, France

  • Isabelle Pelloux,

    Roles Methodology, Resources

    Affiliation CHU Grenoble, Laboratoire de Bactériologie, Grenoble, France

  • Jerôme Robert,

    Roles Methodology, Resources, Writing – review & editing

    Affiliations Sorbonne Universités, UPMC Univ Paris 06, Inserm, U1135, Centre d’Immunologie et des Maladies Infectieuses (CIMI-Paris), Paris, France, Laboratoire de Bactériologie-Hygiène, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP, Paris, France

  • Anne Brisabois,

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing

    Affiliation Université Paris-Est, Anses, Laboratory for Food Safety, Maisons-Alfort, France

  •  [ ... ],
  • Nalini Ramarao

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France

  • [ view all ]
  • [ view less ]

Bacillus cereus, a serious cause of nosocomial infections: Epidemiologic and genetic survey

  • Benjamin Glasset, 
  • Sabine Herbin, 
  • Sophie A. Granier, 
  • Laurent Cavalié, 
  • Emilie Lafeuille, 
  • Cyprien Guérin, 
  • Raymond Ruimy, 
  • Florence Casagrande-Magne, 
  • Marion Levast, 
  • Nathalie Chautemps


Bacillus cereus is the 2nd most frequent bacterial agent responsible for food-borne outbreaks in France and the 3rd in Europe. In addition, local and systemic infections have been reported, mainly describing individual cases or single hospital setting. The real incidence of such infection is unknown and information on genetic and phenotypic characteristics of the incriminated strains is generally scarce. We performed an extensive study of B. cereus strains isolated from patients and hospital environments from nine hospitals during a 5-year study, giving an overview of the consequences, sources and pathogenic patterns of B. cereus clinical infections. We demonstrated the occurrence of several hospital-cross-contaminations. Identical B. cereus strains were recovered from different patients and hospital environments for up to 2 years. We also clearly revealed the occurrence of inter hospital contaminations by the same strain. These cases represent the first documented events of nosocomial epidemy by B. cereus responsible for intra and inter hospitals contaminations. Indeed, contamination of different patients with the same strain of B. cereus was so far never shown. In addition, we propose a scheme for the characterization of B. cereus based on biochemical properties and genetic identification and highlight that main genetic signatures may carry a high pathogenic potential. Moreover, the characterization of antibiotic resistance shows an acquired resistance phenotype for rifampicin. This may provide indication to adjust the antibiotic treatment and care of patients.


Bacillus cereus is a spore forming and ubiquitous bacterium present in soil, foods, insect larvae, almost all surfaces and human skin [1, 2]. Besides food poisoning [3, 4], B. cereus induces local and systemic infections [513]. The main described conditions are septicemia, endophthalmitis, pneumonia, endocarditis, meningititis and encephalitis, especially in immunosuppressed individuals such as neonates, resulting in the patient death in about 10% of cases [9, 1419]. In addition, several cases of fulminant infections similar to anthrax, and affecting healthy persons, have also been reported [2022]. Predisposing factors include intravenous drug use, surgical or traumatic wounds, intravascular catheters and prematurity due to an immature immune response and to the presence of indwelling devices in the intensive care environment of neonates [1618, 23]. Environmental reservoirs include air filtration/ventilation equipment, linen, medical devices and hands of the staff [9, 24]. Case reports describe mainly individual cases or come from single hospital centers and no large survey has been done on B. cereus clinical infections. In addition, information on the genetic and phenotypic characteristics of the incriminated strains is generally scarce. An appropriate empirical antibiotic therapy should be started immediately after suspicion of B. cereus infection. However, as B. cereus is mainly considered as an environmental contaminant, delays in treatments may compromise the clinical outcome.

We performed a thorough description of clinical cases, together with an accurate phenotypic and genetic characterization of the strains. This should be of major interest to improve treatments of patients with non-gastrointestinal B. cereus infections.

Material and methods

Data collection

Epidemiological and clinical data on B. cereus samples isolated from patients were retrospectively collected from French voluntary hospitals between 2008 and 2012. Nine hospitals localized in different regions of France participated to this non-exhaustive study. The authors did not have access to any patient identifying information as part of this work. Each hospital filled a questionnaire and reported every cases of patient for which B. cereus was isolated in at least one biological sample. B. cereus strains were locally identified by plating on specific agar media (Mossel Medium) and confirmed by using 16S rDNA sequencing. These data allowed to classify the strains as belonging to the B. cereus group and excluded B. anthracis strains. Data included basic demographic data, hospital wards, type of clinical sample, date of sampling, clinical data, antibiotic therapy and outcome.

In addition, B. cereus strains obtained from surface samples around clinical cases were also included in the microbiological analysis.

Biochemical analysis

All strains were tested for their capacity to hydrolyze starch on Plate Count Agar, their hemolytic activity on blood sheep agar plates and their lecithinase activity on Mossel medium as previously described [2, 25, 26].

Molecular analysis

M13 sequence-based polymerase chain reaction (M13-PCR) is derived from an RAPD technique that allows differentiating between various strain patterns. M13 typing was performed as described [3]. The DNA profiles were analyzed with BioNumerics 7.1 software (Applied Maths). The software compared the DNA profiles and clustered the strains according to their similarity.

The toxin gene profiles were identified by assessing the presence of the cytK-1, cytK-2, HBLA, HBLC, HBLD, NHEA, NHEB, NHEC, hlyII and ces genes by PCR using specific primers [3] (S1 Fig). The strains were then clustered into genetic signatures (GS) according to their different combinations of presence/absence patterns. We noted a potential discrepancy for 2 strains isolated from the same patient (18), one of which was positive for the ces gene and the other one negative. Similarly, two other strains (from patients 16 and 17), which showed otherwise identical profiles, were negative for the ces gene. This might reflect a non recognition of the primers for these specific strains.

The strains were affiliated to the seven known phylogenetic groups according to the partial sequencing of the panC gene [27]. The complete sequence of the panC gene was used to compare the strains in the same cluster.

Genomic divergence estimation

Genomes from eight bacterial isolates were sequenced using Illumina NextSeq500 paired-end 100 bp sequencing technology with 12.5 million reads per sample. For the purpose of SNP calling, B. cereus ATCC 10987 (NC_003909.8) was selected as a reference after computing Average Nucleotide Identity (ANI) ( between preliminary de novo assemblies for the eight samples and several complete genomes available in the public databases (~95% ANI between NC_003909.8 and our samples, which is comparable to the divergence between our samples). Sequencing adaptors were removed from the reads using Cutadapt (version 1.8.3; with options -n 5 -O 3 -m 0 options). Low quality sequence data were trimmed using Sickle ( (-n -q 20 -l 20). Read mapping on the reference was performed using Bwa mem ( (v0.7.12-r1039; default options). Mapping depth excluding multiple mapped reads was extracted using Samtools (v1.2) depth (-Q 1) and the core genome was defined as positions with mapping depth > = 10 in the eight samples (which represented 3463800 bp). SNP calling was performed using Samtools mpileup and Bcftools call (-vmO v) and variants with a quality above 250 were selected. Pairwise divergence between samples was calculated as the proportion of variable positions along the core genome. A tree depicting the relationships between our eight samples was obtained by hierarchical clustering based on the matrix of pairwise divergences using R ( function hclust.

All raw reads generated were submitted to the European Nucleotide Archive ( under the study accession number PRJEB18787.

Toxin production

The production of the enterotoxins NHE and HBL was tested with the immunological tests BCET-RPLA Toxin Detection (Oxoïd) and Tecra (BDE VIA, 3M-Tecra) kits, respectively [28]. The production of NHE enterotoxin was semi-quantitatively assessed. According to the values obtained and following the manufacturer recommendation, the NHE production was scored as high (4–5), medium/weak (2–3) or not detectable (0–1). The production of HBL enterotoxin was quantitatively assessed and scored according to the dilution showing an activity as highly producer (1/64-1/32-1/16) or medium/weak producer (1/8-1/2).

Antibiotic susceptibility

The Minimum Inhibitory Concentrations (MICs) of selected antimicrobial agents were measured by using concentration gradient strips (Etest®, BioMerieux). Briefly, inoculum was adjusted to 0.5 McFarland before being swabbed on a Mueller-Hinton agar plate (Bio-Rad). Incubation was performed at 35°C for 16–18 hours. The following agents were tested: ampicillin$, cefotaxime, imipenem$, vancomycin$, gentamicin$, rifampicin$, tetracycline$, ciprofloxacin$, chloramphenicol$, azithromycin, sulfamethoxazole/trimethoprim$ and clindamycin$. Due to scarce availability of interpretative criteria in the literature, clinical breakpoints were used when available ($) [29].

Molecular typing and statistical analysis

For each strain, all results were entered into a central database using BioNumerics (BN) software. A phylogenetic tree and a dendrogram from pairwise similarity matrices were built based on panC sequence alignments and M13-PCR molecular typing, respectively using UPGMA (Unweighted Pair Group Method with Arithmetic Mean). The percentage of identity between strains corresponding to the mean of the three experiments was used to construct the dendogram of Fig 1.

Fig 1. Dendogram and strain data.

Left panel, dendrogram obtained by cluster analysis of M13-PCR fingerprint patterns of the 56 strains. The UPGMA was used to build a dendrogram from a pair wise similarity matrix. Seven clusters were obtained with strains sharing 100% of homology. Right panel, data include for each strain the corresponding patient and hospital, genetic signature, phylogenetic panC group, NHE and HBL indice, and the antibiotic susceptibility profile. nd: not detected.

Data were analyzed by the FactoMineR package of the R 2.13.0 software ( Principal Component Analysis (PCA) transforms a set of putative correlated variables into new variables, which are mutually orthogonal (uncorrelated) linear combinations of the original variables. These new variables are called principal components (PC). Each PC is defined by the coefficients in the linear combination of the original variables. For PCA, quantitative values were used for toxin production and age of patients. Each patient’s isolate was represented by a point whose coordinates corresponded to the scores contributing to the PC. The variable corresponding to the different Genetic Signatures was considered as qualitative variable. A hierarchical clustering was performed on the PC (HCPC function of FactoMineR package), in order to identify subsets of objects that corresponded to clusters having similar characteristics within the whole collection.

Simpson index of discrimination (D) was calculated according to the equation provided in [30], where N represents the total number of strains (N = 56) and nj represents the number of strains belonging to each typing sub-group.



Nine hospitals reported 39 patients with B. cereus strains isolated in at least one clinical sample during the five-year study period. For the microbiological analysis, a single B. cereus strain was included per patient, except if several strains were isolated in different clinical sites (patient 1) or over a prolonged time period (patients 18 and 19). It resulted that 45 B. cereus strains were further analyzed, in addition to 11 strains isolated from hospital surface samples (Table 1, several samples were isolated from patients 1, 18 and 19).

A majority of strains (41%) were isolated in newborns, among which 3/4 were premature infants with low birth weight. Patients over 60 year old represented the second most frequent group of patients (26%), followed by middle aged patients (23%). Wards of hospitalization and symptoms recorded were diverse (Tables 1 and 2).

Table 2. Characteristics of patients or hospital environment displaying B. cereus positive samples.

B. cereus infections led to local and systemic infections (Table 2). Local infections represented 8% of the cases. A total of 28 (72%) patients had a positive blood culture for B. cereus. Among them, 15 had another body site displaying B. cereus including the lungs (n = 7) or the central nervous system (n = 5). The gastrointestinal tract represented 18% of the clinical sites. 15% patients had at least three clinical sites positive with B. cereus. Death occurred in eight (21%) patients, including four premature babies.

It is noteworthy that, for 62% (n = 24) of patients, B. cereus was considered as the potential cause of infections and usually taken into account by the physicians for the antibiotic therapy. In the remaining cases, B. cereus was initially wrongly considered as a contaminant.

Biochemical identification

Among the isolates characterized as B. cereus group strains, 48% presented the ability to hydrolyze starch, 93% had lecithinase activity and 71% were hemolytic. These data are consistent with previous finding showing that not all B. cereus strains are hemolytic [3]. The production of two main toxins, NHE and HBL, was assessed. 25% of the strains were high producers of NHE and high producers of HBL, 54% were high producers of NHE and low or no producers of HBL, 7% were low producers of NHE and high producers of HBL, and 14% were low or no producers of NHE and HBL (Fig 1).

Molecular characterization

The presence of ten genes suspected or shown to play a role during B. cereus pathogenesis was investigated. The combination of these genes allowed clustering the strains into ten genetic signatures (GS) (S2 Fig). The cytK1 gene was not found in the strain collection.

The most frequent GS were GS1 (nhe only, 34%), GS2 (nhe, hbl, cytk-2, 23%), GS3 (nhe, ces, 16%) and GS4 (nhe, cytk-2, 14%) (Fig 1).

Our clinical strains belonged to only three phylogenetic groups by panC sequence analysis II, III and IV representing 23%, 47% and 30% of the strains, respectively (Fig 1).

Finally, the M13 pattern of each strain was assessed. A dendogram from pair wise similarity matrixes was build based on M13-PCR molecular typing using UPGMA (Unweighted Pair Group Method with Arithmetic Mean). 41 different M13 profiles were identified according to the percentage of identity between strains (Fig 1). The discriminating Simpson’s index revealed that M13 PCR allowed a high power of differentiation of the strains (discrimination index 0.983).

Antimicrobial susceptibility

The Minimum Inhibitory Concentrations (MICs) of selected antimicrobial agents were measured. According to CLSI clinical breakpoints, the tests revealed five susceptibility patterns (Figs 1 and 2 and S3 Fig). Natural resistance to beta-lactams was confirmed for ampicillin and cefotaxime, while imipenem appeared active at low concentrations. All strains were categorized as susceptible to vancomycin, gentamicin, tetracyclin, ciprofloxacin, azithromycin and clindamycin. Two strains were resistant to chloramphenicol. One strain was resistant to rifampicin and one to cotrimoxazole (trimethoprim/sulfamethoxazole), respectively.

Fig 2. MIC results (Etest method) for the 56 B. cereus strains.

Black lines: population distribution. Concentrations indicated in red are classified as clinically resistant according to CLSI or EUCAST (no known values for Azithromycin, cefotaxime and vancomycin).

Principal component analyses

To analyze the potential correlations between the phenotypic and genotypic characterizations of the strains, principal component analyses were performed for each characteristic. There were no obvious correlations between GS and/or symptoms, hospital wards and patient age. By contrast, several clusters of strains appeared when considering in the PCA the three components: age of patient, NHE production and HBL production (Fig 3). The circles of correlations indicate the strains that can be statistically grouped. Strains producing high level of HBL were on average weak producers of NHE (strains clustering in the red circle). Strains producing high level of NHE infected middle age or elderly patients (>34 year old) (blue circle). There was no correlation with strains weakly producers of HBL and NHE production or age of patients (green circle). The most striking results was the correlation between the low age of the patient (<6.5 year old) and no or weak production of HBL and NHE (strains in the black circle).

Fig 3. Correlation clusters of the quantitative variables characterizing each B. cereus strain isolated from patients.

The percentages of variation explained by the principal components (PC1 and PC2) are indicated in brackets. The factors involved in PC1 (Dim1: age of patients and NHE indice) and PC2 (Dim2: HBL indice) are indicated in the variable factor map at the top right of the figure. The strains located inside a colored circle belong to the same cluster, as determined by the hierarchical cluster analysis performed after PCA. Each dot corresponds to a strain. The squares represent the representative value for the cluster.

Molecular epidemiology

Intra-hospital contaminations.

We identified eight cases of intra-hospital cross infections: the occurrence of an infection by a single strain of B. cereus of at least two different patients within the same hospital. Strains with identical M13 pattern (100% identity by UPGMA on dendogram), panC sequencing (over the entire gene), GS, toxin production and antibiotic susceptibility/resistance pattern were grouped in a single molecular profile (Fig 1). Strains with identical molecular profiles were recovered from different patients and hospitals strongly suggesting the occurrence of eight hospital cross-infections. Fig 4 shows the M13 profiles (top level) and the WGS-based pairwise divergence (bottom) of the strains involved in the 8 cases of cross-infections. For M13 profiles, Fig 4 (top) shows one representative image but the calculated % of identity between strains is shown on the dendogram of Fig 1.

Fig 4. M13-PCR fingerprint patterns of B. cereus strains showing eight possible cross contaminations between patients/patients or patients/environment.

Top panel, lane 1: 1kb DNA ladder. Lane 2: reference strain B. cereus ATCC14579. Lane 2 to 23: B. cereus strains. Bottom: divergence tree between eight samples obtained by hierarchical clustering based on the matrix of pairwise divergences after WGS data.

At hospital (A), a B. cereus strain was isolated from the umbilical cord of a newborn (patient 5). Two B. cereus isolates with identical profiles were isolated one week later from two clinical samples (blood culture and cerebrospinal fluid) from another neonate (patient 1). Patient 1 died at day 6 following a sepsis, and multiple-site infection with no antibiotherapy. The three isolates of patients 1 and 5 were characterized by the M13-1 profile, GS1, panC group III, 100% identity over the panC gene sequence, a medium NHE and low HBL production and the antibiotic profile a. All these similarities, and especially the M13 pattern, strongly suggested that the three isolates were identical and/or may descend from a same recent ancestor. To confirm these findings, the three genomes of the strains were entirely sequenced (WGS). The divergence tree between the strains was obtained by hierarchical clustering based on the matrix of pairwise divergences. The three genomes showed 100% identity (Fig 4 and S4 Fig). Indeed, 1 or 2 SNP differed between the strains and pairwise divergences between samples were comprised between 2.9e-07 and 8.7e-07, corresponding to 0.00%.

Therefore, the WGS data confirmed that identical strains were recovered from two unrelated patients within the same hospital. In addition, the data indicate that the genomic characterization following M13 typing allowed identifying and discriminating between strains.

At the same hospital (A), a B. cereus strain was isolated from a newborn (patient 4) and one week later, a B. cereus strain with a similar profile was isolated from another premature newborn with clinical sepsis (patient 3), constituting a second strain cluster.

Similarly, at the same hospital (A), a B. cereus strain was isolated from a premature newborn with a clinical sepsis and brain abscesses (patient 2). A strain with similar profile was isolated later twice from the hospital environment (environment 2 and 4), constituting a third cluster.

At hospital (B), a B. cereus strain was isolated from three newborns (patients 6, 8 and 9) and from an environmental sample (environment 5) during the same month. Patient 6 had local B. cereus colonization at the point of entry of catheter. The patient was treated with ceftriaxone and the catheter was removed. Patient 8 had a contaminated gastric acid and patient 9 had a bacteremia. They both received antibiotics including vancomycin and had favorable outcomes.

At hospital (E), strains with identical profiles were recovered from two patients over a one year time interval and in different hospital wards (oncology and neurology). Patient 23 was 66-year old and diagnosed with colorectal cancer and sepsis. B. cereus was isolated from a blood culture, displaying also a coagulase-negative Staphylococcus. B. cereus was therefore neglected. However, a strain with identical profile was isolated one year later from a newborn (patient 21) leading to kidney and urinary infections.

At the same hospital (E), B. cereus strains with similar profiles were recovered from three different patients over a 2-year period. The three patients were hospitalized in different wards: hematology, nephrology and gastroenterology. Patient 16, 65 year old had a positive blood culture and died without antibiotic treatment. Patient 17, age 54 had a bacteremia at the point of entry of the catheter. He had a favorable outcome after several antibiotic courses for 21 days. Patient 18, age 63, had three positive blood cultures yielding B. cereus strains with identical profiles during three months. He had a favorable outcome following three consecutive antibiotic courses.

More recently, at hospital (F), B. cereus strains with identical profiles were isolated from two patients over a one-year period. Patient 33 was 24 year-old admitted at the emergency ward with abdominal pain, shivering, vomiting, fever and diarrhea. A blood culture was positive for this B. cereus strain. Patient 31, 48-year old, was admitted in cardiology almost one year later with clinical sepsis and acute respiratory distress. A blood culture was positive with a B. cereus with identical profile and the patient received a combined antibiotic course with a favorable outcome. The two patients do not seem to have links in anyways and were admitted at the hospital 10 months apart.

These data reveal the capacity of a given B. cereus strain to persist in the hospital and to infect several patients over a long period of time (over 2 years) and at different hospital localizations.

Inter hospital contaminations.

A case of inter-hospital contamination was identified between the hospitals (A) and (B). A newborn from hospital (B) (patient 7) had a B. cereus strain that presented an identical profile to a strain isolated the same month from the neonatal hospital environment (environment 1) in hospital (A). As these data may reveal, to our knowledge, the first inter hospital contamination ever described for B. cereus, we decided to compare them as well by WGS. The identity between the two strains was confirmed, and the strains showed 0.00% divergence and 20 differences in SNP (S4 Fig). No direct link has been identified between the patient 7 and hospital (A).

A second case of putative inter-hospital contamination was identified within the same hospitals (A) and (B). At hospital (B), a B. cereus strain was isolated from three premature newborns (patients 6, 8 and 9) and from an environmental sample (environment 5) during the same month. Surprisingly, a B. cereus strain with very similar profile (0.01% divergence and 48–49 differences in SNP) was isolated two months earlier from two newborns (patient 1 and 5) at hospital (A). Patients 1 and 5 from hospital (A) were the first newborns of this series. During the same period, patient 6 was first admitted in hospital (A) and then transferred to hospital (B), located 15 km apart. B. cereus strains with similar profiles were then isolated in hospital (B) from patient 6, 8 and 9. According to the data, there is a possibility, that patient 6 may have been contaminated during his stay in hospital (A) and transmitted the strain to other patients in hospital (B).

Although it is not fully clear from the available evidence whether the isolates are indeed of the same origin, these situations may be to our knowledge, the first examples of inter-hospital cross-contaminations with B. cereus strains.


B. cereus is notoriously associated with food poisoning and eye infections [31, 32]. B. cereus also induces a multitude of other serious infections such as fulminant sepsis and devastating central nervous system infections [9, 19]. In hospital, B. cereus is however usually regarded by the physicians as an environmental contaminant. Thus, despite positive blood samples, B. cereus is seldom considered as cause of infection. Consequently, the antibiotic treatment is sometimes inadequate because of the misinterpretation of clinical and bacteriological diagnosis of B. cereus infections [33].

The aim of our study was to gain a better knowledge on the consequences, sources and pathogenic strain patterns in B. cereus clinical infections. We analyzed the correlations between epidemiology, clinical, phenotypical and molecular data in order to alert clinicians regarding the emerging threat that B. cereus can represent in hospital settings.

We reported 39 patients with B. cereus infections. This study is however not exhaustive and the number of cases is likely underestimated as clinical laboratories do not necessarily complete species identification considering Bacillus species as environmental contaminants.

Among the 39 patients, eight (21%) died following B. cereus systemic infections. Among them, 4 were premature newborns, 1 patient had a carcinoma, 1 patient was also infected with S. aureus, 1 patient had a low leukocyte level. The underlying condition of the last one was unknown. Consistent with previous findings [14, 18], our study confirms that the majority of patients were premature newborns, followed by elderly people. It is suspected that B. cereus from the hospital environment enter the infant bodies due to the presence of indwelling devices such as catheters. However, to our knowledge, no studies could demonstrate so far that the same B. cereus strain could be recovered from a patient and its hospital environment. The comprehensive molecular characterization of the strains from our collection allowed identifying several hospital clusters. Strains with identical profiles were isolated from different patients and/or environment samples over periods of time up to two years and from different hospital settings. This clearly suggests that the same B. cereus strain is able to persist in the hospital environment despite routine cleaning procedures and may remain a source of infection for inpatients, likely due to its ability to form spores and/or biofilms [31]. In addition, we reveal the identification of strain clusters between two hospitals demonstrating the first documented cases of inter-hospital cross-contamination by B. cereus strains. It is interesting to note that B. cereus does not constitute a clonal population [34]. As an example, compared to the available reference sequenced genomes B. thuringiensis 407 ( BT407) and B. cereus ATCC10987 ( ATCC10987), our strains showed 91.56% and 94.87% similarity, respectively. In this situation, our WGS data showing 99.99% and 100% identity between the hospital strains strongly suggest the strain identities.

In two cases, identical B. cereus strains were isolated from two newborns with different pathologies. In both cases, the first infant had a localized colonization and the second had a systemic infection, suggesting that the severity of symptoms probably depends on the site of infection and/or the immune status of the patient.

Surface environmental samples were analyzed only in case of infection and were restricted to the patient zone. The hands of the staff or the linen were not tested. It is therefore difficult to hypothesize on the method of contamination. Our data, suggest however, that the strains remain in the hospital environment long enough to infect inpatients up to two years following the first infection. In two cases, the second infection led to patient death.

B. cereus gastrointestinal pathogenesis are considered to be mainly due to the production of toxins such as HBL, NHE, CytK or the cereulide [28, 3537]. The virulence factors associated with clinical non-gastrointestinal diseases are unknown, although HlyII has been shown to allow B. cereus to counteract the host immune system [3840].

34% of the strains belonged to GS1 where only nhe genes were detected. Nevertheless, the production of the NHE toxin was highly variable and ranged from high to very low, suggesting that other factors may play a role during B. cereus non-gastro intestinal infections. High production of one toxin NHE or HBL was correlated with low production of the other one. Indeed, 54% of the strains were high NHE producers and low HBL producers, and only 25% of the strains were high producers of both NHE and HBL. Thus, it appears necessary to identify other unknown virulence determinants to get further insights in the pathogenic potential of B. cereus during non-gastrointestinal infections or to establish whether such infections are entirely opportunistic. It would be interesting to examine the role of the PlcR regulon, which is suspected to play a major role during gastrointestinal diseases, as well as other non-PlcR regulated toxins [35, 41, 42].

Interestingly, we observed that strains isolated from low age population were in average low toxin-producers. This suggests that newborn may be particularly sensitive to B. cereus strains, even those with low toxin production, or that other unknown factors may be responsible for newborn infections.

There is no specific recommendation for the study and interpretation of B. cereus antibiotic susceptibility in Europe. The choice of antibiotic is guided by therapeutic considerations and the search for alternatives to the treatments used for prophylaxis. Our data show homogeneity of antibiotic susceptibility pattern in the strain population, which is in favor of empiric therapy as soon as B. cereus infection is identified. The data revealed the efficacy of the association of glycopeptide and aminoglycoside or imipenem and ciprofloxacin. On the opposite, due to the natural resistance of B. cereus to most beta-lactams [33] and as confirmed by our study, penicillins and third generation cephalosporins are not recommend for treating B. cereus infections.

Of interest, patient 18 had three blood samples positive for B. cereus. The initial strains were susceptible to rifampicin and the last strain displayed resistance to rifampicin. This case strongly suggests acquired rifampicin resistance over time, and that, similarly to S. aureus, rifampicin should be used with caution to treat B. cereus infections. Whether the strain acquired resistance from another bacterium or from a mutation was not studied.

Taken together, such study gathering epidemiological and clinical data together with phenotypic and molecular characterization has, to the best of our knowledge, never been done for B. cereus. This study demonstrates the high persistence capacity of B. cereus strains in the hospital environment, leading to the reemergence of strains two years after the first isolation. Strains spread within the same hospital but also between different hospitals.

The antibiotic resistance profiles should allow to quickly adapting treatment and care of patients. In conclusion, our study highlights that B. cereus isolated from patients, especially if immunosuppressed, should not be systematically disregarded as a contaminant, and its clinical significance should be raised. Inadequate attention could delay appropriate therapy and increase the risk of severe infections and poor outcome.

Supporting information

S1 Fig. Primers.

List of primers used in this study.


S2 Fig. Toxin gene profiles called genetic signatures (GS).

The toxin gene profiling was performed according to the presence or absence of nine genes (cytK1 was absent in all strains) associated with B. cereus pathogenesis.


S3 Fig. In vitro antibiotic susceptibility profiles.

Five profiles were defined from the 56 B. cereus isolated from patients or from hospital environment. S: susceptible R: resistant.


S4 Fig. SNP calling and pairwise divergence.

SNP calling and pairwise divergence were calculated between the samples.



We wish to thank Joel Grout, Sylvie Pairaud, Muriel Marault and Sabine Messio for excellent technical assistance. We thank Stéphane Aymerich for his kind support. We thank Pierre Nicolas, Jacques Croizé and Jacqueline Tous for helpful discussion. We are grateful to the INRA MIGALE bioinformatics platform ( for providing computational resources.


  1. 1. Auger S, Ramarao N, Faille C, Fouet A, Aymerich S, Gohar M. Biofilm formation and cell surfce properties among pathogenic and non pathogenic strains of the Bacillus cereus group. App Environ Microbiol. 2009;75:6616–8.
  2. 2. Tran SL, Guillemet E, Gohar M, Lereclus D, Ramarao N. CwpFM (EntFM) is a Bacillus cereus potential cell wall peptidase implicated in adhesion, biofilm formation and virulence. J Bacteriol. 2010;192:2638–42. pmid:20233921
  3. 3. Glasset B, Herbin S, Guiller L, Cadel-Six S, Vignaud ML, Grout J, et al. Large-scale survey of Bacillus cereus-induced food-borne outbreaks: epidemiologic and genetic characterization EuroSurveillance. 2016;21(48).
  4. 4. INVS. Collective Food Poisoning INVS. 2016.
  5. 5. Veysseyre F, Fourcade C, Lavigne JP, Sotto A. Bacillus cereus infection: 57 case patients and a literature review. Med Mal Infect. 2015;45(11–12):436–40. pmid:26525185
  6. 6. Ramarao N. Bacillus cereus: caractéristiques et pathogénicité. EMC Biologie Médicale. 2012;7:1–11.
  7. 7. Kato K, Matsumura Y, Yamamoto M, Nagao M, Ito Y, Takakura S, et al. Erratum to: Seasonal trend and clinical presentation of Bacillus cereus bloodstream infection: association with summer and indwelling catheter. Eur J Clin Microbiol Infect Dis. 2016;35(5):875–83. pmid:27010814
  8. 8. Frankard J, Li R, Taccone F, Struelens M, J, Jacobs F, Kentos A. Bacillus cereus pneumonia in a patient with acute lymphoblastic leukemia. Eur J Clin Microbiol Infect Dis. 2004;23:725–8. pmid:15300457
  9. 9. Bottone EJ. Bacillus cereus, a volatile human pathogen. Clin Microbiol Rev. 2010;23(2):382–98. pmid:20375358
  10. 10. Gaur AH, Patrick CC, McCullers JA, Flynn PM, Pearson TA, Razzouk BI, et al. Bacillus cereus bacteremia and meningitis in immunocompromised children. Clinic Infect dis. 2001;32:1456–62.
  11. 11. Arnaout M, Tamburro R, Bodner S, Sandlund J, Rivera G, Pui C. Bacillus cereus causing fulminant sepsis and hemolysis in two patients with acute leukemia. J Pediatr Hematol Oncol. 1999;21:431–5. pmid:10524460
  12. 12. Wright WF. Central Venous Access Device-related Bacillus Cereus Endocarditis: A Case Report and Review of the Literature. Clin Med Res. 2016.
  13. 13. Shah M, Patnaik S, Wongrakpanich S, Alhamshari Y, Alnabelsi T. Infective endocarditis due to Bacillus cereus in a pregnant female: A case report and literature review. IDCases. 2015;2(4):120–3. pmid:26793477
  14. 14. Lotte R, Herisse AL, Berrouane Y, Lotte L, Casagrande F, Landraud L, et al. Virulence Analysis of Bacillus cereus Isolated after Death of Preterm Neonates, Nice, France, 2013. Emerg Infect Dis. 2017;23(5):845–8. pmid:28418291
  15. 15. Evreux F, Delaporte B, Leret N, Buffet-Janvresse C, Morel A. [A case of fatal neonatal Bacillus cereus meningitis]. Arch Pediatr. 2007;14(4):365–8. pmid:17337168
  16. 16. Hilliard NJ, Schelonka RL, Waites KB. Bacillus cereus bacteremia in a preterm neonate. J Clin Microbiol. 2003;41(7):3441–44. pmid:12843116
  17. 17. Decousser J, Ramarao N, Duport C, Dorval M, Bourgeois-Nicolaos N, Guinebretiere MH, et al. Bacillus cereus and severe intestinal infections in preterm neonates: putative role of the pooled breast milk. Am Journal of Infection Control. 2013;41:918–21.
  18. 18. Ramarao N, Belotti L, Deboscker S, Ennahar-Vuillemin M, de Launay J, Lavigne T, et al. Two unrelated episodes of Bacillus cereus bacteremia in a neonatal intensive care unit. Am J Infect Control. 2014;42(6):694–5. pmid:24725514
  19. 19. Drobniewski FA. Bacillus cereus and related species. Clin Microbiol Rev. 1993;6:324–38. pmid:8269390
  20. 20. Miller JM, Hair JG, Hebert M, Hebert L, Roberts FJ, Weyant RS. Fulminating bacteremia and pneumonia due to Bacillus cereus. J Clin Microbiol. 1997;35(2):504–7. pmid:9003628
  21. 21. Hoffmaster A, Ravel J, Rasko D, Chapman GD C M, Marston CK, De BK, Sacchi CT, Fitzgerald C, Mayer LW, Maiden MC, Priest FG, Barker M, Jiang L, Cer RZ, Rilstone J, Peterson SN, Weyant RS, Galloway DR, Read TD, Popovic T, Fraser CM. Identification of anthrax toxin genes in a Bacillus cereus associated with an illness resembling inhalation anthrax. Proc Natl Acad Sci. 2004;101:8449–54. pmid:15155910
  22. 22. Marston CK, Ibrahim H, Lee P, Churchwell G, Gumke M, Stanek D, et al. Anthrax Toxin-Expressing Bacillus cereus Isolated from an Anthrax-Like Eschar. PLoS ONE. 2016;11(6):e0156987. pmid:27257909
  23. 23. Benusic MA, Press NM, Hoang LM, Romney MG. A cluster of Bacillus cereus bacteremia cases among injection drug users. Can J Infect Dis Med Microbiol. 2015;26(2):103–4. pmid:26015795
  24. 24. Sasahara T, Hayashi S, Morisawa Y, Sakihama T, Yoshimura A, Hirai Y. Bacillus cereus bacteremia outbreak due to contaminated hospital linens. Eur J Clin Microbiol Infect Dis. 2011;30(2):219–26. pmid:20938704
  25. 25. Beecher DJ, Wong AC. Identification of hemolysin BL-producing Bacillus cereus isolates by a discontinuous hemolytic pattern in blood agar. Appl Environ Microbiol. 1994;60(5):1646–51. pmid:8017944
  26. 26. Bouillaut L, Ramarao N, Buisson C, Gilois N, Gohar M, Lereclus D, et al. FlhA influences Bacillus thuringiensis PlcR-regulated gene transcription, protein production, and virulence. Appl Environ Microbiol. 2005;71(12):8903–10. pmid:16332888
  27. 27. Guinebretière MH, Thompson FL, Sorokin A, Normand P., Dawyndt P., Ehling-Schulz M, et al. Ecological diversification in the Bacillus cereus Group. Environ Microbiol. 2008;10:851–65. pmid:18036180
  28. 28. Guinebretière MH, Broussolle V, Nguyen-The C. Enterotoxigenic profiles of food-poisoning and food-borne Bacillus cereus strains. J Clin Microbiol. 2002;40(8):3053–6. pmid:12149378
  29. 29. Wayne. Clinical and Laboratory Standards Institute (CLSI). Methods for antimicrobial dilution and disk susceptibility testing of infrequently isolated or fastidious bacteria; approved guideline. CLSI. 2010; 2nd edition: M45A2E.
  30. 30. Hunter PR, Gaston MA. Numerical index of the discriminatory ability of typing systems: an application of Simpson’s index of diversity. J Clin Microbiol. 1988;26(11):2465–6. pmid:3069867
  31. 31. Ramarao N, Lereclus D, Sorokin A. The Bacillus cereus group. Molecular Medical Microbiology. 2015;III(Second Edition):1041–78.
  32. 32. Callegan MC, Kane ST, Cochran DC, Novosad B, Gilmore MS, Gominet M, et al. Bacillus endophthalmitis: roles of bacterial toxins and motility during infection. Invest Ophthalmol Vis Sci. 2005;46(9):3233–8. pmid:16123424
  33. 33. Ikeda M, Yagihara Y, Tatsuno K, Okazaki M, Okugawa S, Moriya K. Clinical characteristics and antimicrobial susceptibility of Bacillus cereus blood stream infections. Ann Clin Microbiol Antimicrob. 2015;14:43. pmid:26370137
  34. 34. Rasko D A, Ravel J, Okstad OA, Helgason E, Cer R, Z, Jiang L, et al. The genome sequence of Bacillus cereus ATCC 10987 reveals metabolic adaptations and a large plasmid related to Bacillus anthracis pXO1. Nucleic Acids Res. 2004;32:977–88. pmid:14960714
  35. 35. Ramarao N, Sanchis V. The pore-forming haemolysins of Bacillus cereus: a review. Toxins. 2013;5:1119–39. pmid:23748204
  36. 36. Stenfors Arnesen L, Fagerlund A, Granum P. From soil to gut: Bacillus cereus and its food poisoning toxins. FEMS Microbiol Rev. 2008;32:579–606. pmid:18422617
  37. 37. Ehling-Schulz M, Guinebretière MH, Monthan A, Berge O, Fricker M, Svensson B. Toxin gene profiling of enterotoxic and emetic Bacillus cereus. FEMS Microbiol Lett. 2006;260:232–40. pmid:16842349
  38. 38. Tran SL, Guillemet E, Ngo-Camus M, Clybouw C, Puhar A, Moris A, et al. Hemolysin II is a Bacillus cereus virulence factor that induces apoptosis of macrophages. Cell Microbiol. 2011;13:92–108. pmid:20731668
  39. 39. Tran SL, Puhar A, Ngo-Camus M, Ramarao N. Trypan blue dye enters viable cells incubated with the pore-forming toxin HlyII of Bacillus cereus. PLoS ONE. 2011;6(9):e22876. pmid:21909398
  40. 40. Guillemet E, Tran S, Cadot C, Rognan D, Lereclus D, Ramarao N. Glucose 6P binds and activates HlyIIR to repress Bacillus cereus haemolysin hlyII gene expression. PLoS ONE. 2013;8:e55085. pmid:23405113
  41. 41. Gohar M, Faegri K, Perchat S, Ravnum S, Økstad O G M.; Kolstø AB.; Lereclus D. The PlcR virulence regulon of Bacillus cereus. PLoS ONE. 2008;3(7):e2793. pmid:18665214
  42. 42. Salamitou S, Ramisse F, Brehélin M, Bourguet D, Gilois N, Gominet M, et al. The plcR regulon is involved in the opportunistic properties of Bacillus thuringiensis and Bacillus cereus in mice and insects. Microbiology. 2000;146:2825–32. pmid:11065361