Nathalie Gnanou Besse

The overgrowth of Listeria monocytogenes by other Listeria spp. in food samples undergoing enrichment cultivation has a nutritional basis

The isolation of Listeria monocytogenes from food is carried out using a double enrichment. In cases where multiple Listeria species are present within the original sample, L. monocytogenes can be overgrown during enrichment by other species of listeria present in the original sample. From a practical perspective, this can result in a false negative or complicate the ability of public health investigators to match food and clinical isolates. We have further investigated this phenomenon by analysing the growth kinetics of single species and pairs of different species over the ISO 11290-1 enrichment process. The overgrowth of a strain of L. monocytogenes by a strain of Listeria innocua resulted primarily from interactions which occurred in late exponential phase, where it was observed that growth of both strains stopped when the dominant strain reached stationary phase. In a second mixed culture, the dominant L. monocytogenes strain suppressed the exponential growth rate of the second Listeria welshimeri strain. Both findings suggest that the overgrowth could partially be explained in terms of a nutritional competition. Multi-factor analysis of Fraser broth constituents and growth temperatures using both stressed and non-stressed inoculants failed to identify any single factor in the ISO 11290-1 methodology which would contribute to the overgrowth phenomenon in our model system. Furthermore, species was not a significant factor in observed differences in growth parameters among a wider array of strains which had been stressed or not stressed prior to grown in Fraser broths, even though some strains had significantly faster growth rates than others. Limiting diffusion in Fraser broth through the addition of agar significantly reduced the extent of the overgrowth in experiments using mixtures of strains originally isolated from foods where overgrowth had been previously observed. Taken together, these findings support that the overgrowth phenomenon in most instances has a nutritional basis.

A contribution to the improvement of Listeria monocytogenes enumeration in cold-smoked salmon

For the enumeration of Listeria monocytogenes in food, a sensitive enumeration method based on membrane filtration followed by transfer of the filter to a selective medium has been developed. This study was carried out with cold-smoked salmon, a product likely to be contaminated with L. monocytogenes. The operating protocol utilizes three filtration runs in parallel (5, 15 and 30 ml) of a 1 in 10 dilution of the salmon suspension through 0.45-microm pore-size cellulose ester membranes, and then culture of the filters on Aloa agar (AES Laboratoires, Combourg, France). The results obtained with the technique were compared with those from the reference EN ISO 11290-2 method and found to provide more precise results in the enumeration of L. monocytogenes from both artificially and naturally contaminated cold-smoked salmon. Moreover, for several samples contaminated at low levels, L. monocytogenes could be recovered only by the filtration method. The examination of increasing volumes of salmon suspension enabled readable results to be obtained for all levels of L. monocytogenes and competitive microflora investigated. In most cases, the optimised operating protocol enabled 5.1 g of salmon to be examined, instead of 0.01-0.1 g with the reference EN ISO 11290-2 method, thus improving the sensitivity of the method.

Validation of a stochastic modelling approach for Listeria monocytogenes growth in refrigerated foods

A stochastic modelling approach was developed to describe the distribution of Listeria monocytogenes contamination in foods throughout their shelf life. This model was designed to include the main sources of variability leading to a scattering of natural contaminations observed in food portions: the variability of the initial contamination, the variability of the biological parameters such as cardinal values and growth parameters, the variability of individual cell behaviours, the variability of pH and water activity of food as well as portion size, and the variability of storage temperatures. Simulated distributions of contamination were compared to observed distributions obtained on 5 day-old and 11 day-old cheese curd surfaces artificially contaminated with between 10 and 80 stressed cells and stored at 14°C, to a distribution observed in cold smoked salmon artificially contaminated with approximately 13 stressed cells and stored at 8°C, and to contaminations observed in naturally contaminated batches of smoked salmon processed by 10 manufacturers and stored for 10 days a 4°C and then for 20 days at 8°C. The variability of simulated contaminations was close to that observed for artificially and naturally contaminated foods leading to simulated statistical distributions properly describing the observed distributions. This model seems relevant to take into consideration the natural variability of processes governing the microbial behaviour in foods and is an effective approach to assess, for instance, the probability to exceed a critical threshold during the storage of foods like the limit of 100 CFU/g in the case of L. monocytogenes.

Genotypic and phenotypic characterisation of a collection of Cronobacter (Enterobacter sakazakii) isolates.

Enterobacter sakazakii has been identified as the causative agent of serious neonatal infections, associated with high mortality rate. In many cases, powdered infant formula (PIF) has been identified as the source of infection. Recently, E. sakazakii was proposed to be classified in a new genus, Cronobacter. Since knowledge on this pathogen is still incomplete, there is a need for molecular characterization schemes in order to help with epidemiological investigation and evaluate strain variability. The objectives of this study were to combine genotypic (pulsed-field gel electrophoresis [PFGE], 16S rRNA gene sequencing, and automated ribotyping) methods with traditional phenotypic biochemical methods to characterize a collection of Cronobacter isolates from various origins. In addition, the relative growth dynamics were compared by estimating the growth rates for each isolate in non-selective broth (BHI) at 25 degrees C and 37 degrees C. According to biochemical test profiles the majority of isolates were identified as Cronobacter sakazakii, which seemed to be the most common species distributed in the environment of PIF production plants. Furthermore, the PFGE technique displayed very high discriminatory power as 61 distinct pulsotypes were revealed among the 150 Cronobacter isolates. Combining information on sample origin and pulse type, 64 isolates were deemed as unique strains. Although genetic typing data for the strains clearly delineated them into clusters closely corresponding to biochemical speciation results, it was not without discrepancies as some strains did not group as predicted. Important for quantitative risk assessment is the fact that despite the high genetic heterogeneity observed for this collection, most Cronobacter strains displayed similar growth rates irrespective of species designation.

Impact of pooling powdered infant formula samples on bacterial evolution and Cronobacter detection

Enterobacter sakazakii has been identified as the causative agent of serious neonatal infections, associated with high mortality rates. In most cases, powdered infant formula (PIF) has been identified as the source of infection. Recently, strains commonly referred to as E. sakazakii were proposed for classification in a new genus, Cronobacter. The standardised method for detection of Cronobacter in PIF (ISO/TS 22964; IDF/RM 210) involves pre-enrichment in buffered peptone water (BPW), followed by selective enrichment and plating onto ESIA chromogenic agar. For greater convenience and to reduce analysis cost, the common practice in the food industry is to pool samples at a constant dilution rate, in order to perform a single pre-enrichment and subsequent analysis. The consequences on the sensitivity of Cronobacter detection are not evident. We evaluated the impact of pooling on the growth of Cronobacter and PIF background microflora in samples undergoing pre-enrichment culturing in BPW. Growth of the pathogen was monitored by direct plating onto selective agar or by using a recently developed sensitive enumeration method, based on membrane filtration followed by transfer of the filter onto the selective agar. The evolution of the total bacterial population of the PIF was monitored from a qualitative and quantitative point, using molecular or classical microbiological methods. Results showed that pooling had a negative impact on the maximum population of Cronobacter attained, whereas no clear effect was observed on the onset of growth. This observation suggests strong bacterial interactions with the PIF background microflora, confirmed by a generally higher background microflora growth potential in PIF samples from various origins. These important findings suggest that, in some cases, the practice of pooling samples may affect the performance of the detection method.

Individual cell lag time distributions of Cronobacter (Enterobacter sakazakii) and impact of pooling samples on its detection in powdered infant formula.

Cells of six strains of Cronobacter were subjected to dry stress and stored for 2.5 months at ambient temperature. The individual cell lag time distributions of recovered cells were characterized at 25 °C and 37 °C in non-selective broth. The individual cell lag times were deduced from the times taken by cultures from individual cells to reach an optical density threshold. In parallel, growth curves for each strain at high contamination levels were determined in the same growth conditions. In general, the extreme value type II distribution with a shape parameter fixed to 5 (EVIIb) was the most effective at describing the 12 observed distributions of individual cell lag times. Recently, a model for characterizing individual cell lag time distribution from population growth parameters was developed for other food-borne pathogenic bacteria such as Listeria monocytogenes. We confirmed this models applicability to Cronobacter by comparing the mean and the standard deviation of individual cell lag times to populational lag times observed with high initial concentration experiments. We also validated the model in realistic conditions by studying growth in powdered infant formula decimally diluted in Buffered Peptone Water, which represents the first enrichment step of the standard detection method for Cronobacter. Individual lag times and the pooling of samples significantly affect detection performances.

Evaluation of an enumeration method for Listeria monocytogenes at low contamination levels in cold-smoked salmon.

For the enumeration of Listeria monocytogenes in cold-smoked salmon, a sensitive enumeration method, based on membrane filtration followed by transfer of the filter on a selective medium has been recently developed (Gnanou Besse et al., 2004, A contribution to the improvement of L. monocytogenes enumeration in cold-smoked salmon. International Journal of Food Microbiology, 91, 119-127). The aim of the study was to assess the performance of this enumeration method through an inter-laboratory study, using cold-smoked salmon artificially contaminated at 2 different levels (approximately 0.6 and 1.6 log10 CFU g(-1)). A reproducibility standard deviation of 0.23 log10 CFU g(-1)and 0.15 log10 CFU g(-1) was obtained for the method respectively at the lower level and the higher level. Under certain conditions, the uncertainty of measurement can be derived from the method reproducibility standard deviation and was calculated to be 0.46 log10 CFU g(-1) for the lower contamination level and 0.30 log10 CFU g(-1) for the higher contamination level. These values can be considered as satisfactory for such low contamination levels.