Effect of Lactococcus garvieae, Lactococcus lactis and Enterococcus faecalis on the behaviour of Staphylococcus aureus in microfiltered milk.

The effect of four strains of Lactococcus garvieae, three strains of Lactococcus lactis and one strain of Enterococcus faecalis on Staphylococcus aureus SA15 growth in microfiltered milk was evaluated. Lactococcus and Enterococcus strains were co-cultured with S. aureus in microfiltered milk and in medium buffered at pH 6.8. All Lactococcus and Enterococcus strains were able to inhibit S. aureus growth after 6h of incubation. Inhibition by L. lactis and E. faecalis strains could be partially attributed to the decrease in pH below 6.0 as it has been observed in medium buffered at pH 6.8. L. garvieae strains were the most effective to inhibit S. aureus growth without acidification. Inhibition of S. aureus could not be attributed neither to production of lactate, acetate or nor to antistaphylococcal substance. Amino acids competition was not involved in the inhibition by L. garvieae as addition of valine, isoleucine, threonine, methionine and phenylalanine did not suppress the inhibition of S. aureus.

Application of Single Strand Conformation Polymorphism --PCR method for distinguishing cheese bacterial communities that inhibit Listeria monocytogenes.

The aim of this study was to compare the microbial communities of different cheeses where Listeria monocytogenes either grew or did not grow. For this purpose, (i) isolates from the most inhibitory cheese ecosystem were identified and their ability to produce anti-Listeria substances was determined, (ii) bacterial communities of cheeses with and without L. monocytogenes growth were compared using the Single Strand Conformation Polymorphism method. The study showed SSCP to be an effective tool for differentiating between the bacterial communities of different cheeses manufactured with the same technology. All the cheeses with the lowest L. monocytogenes counts on day 8 were distinguished by the dominance in their SSCP profiles, after amplification of the V2 region of the 16S rRNA gene, of 3 peaks whose nucleotide sequences comigrated with Enterococcus faecium and Enterococcus saccharominimus, Chryseobacterium sp and Corynebacterium flavescens, Lactococcus garvieae and Lactococcus lactis respectively. However, no anti-Listeria compounds were produced under our experimental conditions. These six bacterial species were inoculated, separately or together, into pasteurised milk and their anti-listerial activity in cheese was evaluated. The area of inhibition between the control and trial curves confirmed that L. monocytogenes is inhibited by E. saccharominimus, C. flavescens, L. lactis, L. garvieae and the mixture of all six bacterial strains. Further studies should be performed to determine the metabolites involved in L. monocytogenes inhibition.

Design and application of a Staphylococcus-specific single strand conformation polymorphism-PCR analysis to monitor Staphylococcus populations diversity and dynamics during production of raw milk cheese.

AIM: Development of a nested-PCR single strand conformation polymorphism (SSCP) assay targeting the 16S rRNA genes of the Staphylococcus genus, to monitor staphylococci in cheese. METHODS AND RESULTS: New primer sets to specifically amplify 16S rDNA of staphylococci were designed to be used in a nested-PCR SSCP assay. The method was efficient in discriminating the staphylococcal species most frequently found in cheese. It was validated by monitoring Staphylococcus populations in three productions of raw milk cheese. Analysis of milk samples revealed dominant SSCP peaks corresponding to Staphylococcus aureus, Staphylococcus equorum and Staphylococcus saprophyticus. After 12 h, the S. aureus peak became dominant. CONCLUSIONS: The combination of specific Staphylococcus nested-PCR and SSCP allows rapid and direct monitoring of staphylococci diversity and dynamics in milk and cheese. In the core of the cheeses studied, S. aureus may have ecological advantages against other Staphylococcus populations. SIGNIFICANCE AND IMPACT OF THE STUDY: This approach is a promising tool to study the ecology of staphylococci in cheeses and in other food samples.

A molecular method to study population and activity dynamics in anaerobic digestors.

The applicability of a new molecular fingerprinting method (Single Strand Conformation Polymorphism) to study the microbial populations of anaerobic digestors was investigated. After extraction of total nucleic acids, the 16S rDNA and 16S rRNA molecules were amplified and the amplicons were separated by SSCP electrophoresis. Characteristic and complex peak patterns were obtained, where each peak could be correlated with the 16S rDNA sequence of one micro-organism. The rDNA peak patterns should consist of the most abundant sequences and thus would reflect the diversity of prominent species of different digestors. Ribosomal DNA patterns were compared to rRNA patterns and revealed the bacteria that were the most active metabolically. The SSCP method also revealed dynamic changes in the presence and activity of populations, following perturbations such as an acidic shock which caused an increase in activity of two species. After cloning the 16S rDNA, the species corresponding to the peaks of interest, such as the archaeal species, could be identified by screening the clones according to their SSCP patterns and sequencing the 16S rDNA.

Bacterial and archaeal 16S rDNA and 16S rRNA dynamics during an acetate crisis in an anaerobic digestor ecosystem.

The dynamics of bacterial and archaeal populations of a laboratory-scale anaerobic digestor were investigated during a crisis period of the process reflected by an accumulation of acetate. A culture-independent approach based on single strand conformation polymorphism (SSCP) analysis of total 16S rDNA and 16S rRNA amplification products was used. A spirochete and a Synergistes sp. showed high and changing activity levels during the study. A Clostridium sp. showed a transient increase in presence and activity concomitant with the highest acetate concentrations. A major shift in the most active archaeal populations from hydrogenotrophic to acetoclastic methanogens preceded the recovery of the reactor.

Single strand conformation polymorphism monitoring of 16S rDNA Archaea during start-up of an anaerobic digester.

A laboratory-scale continuously mixed anaerobic digester was inoculated with a mix of anaerobic sludge and fed with glucose. The start-up strategy was progressive and chemical analyses were done to evaluate digester performance from day 1 to day 107. In parallel, Archaeal community dynamics were monitored by SSCP analysis of the V3 region of 16S rDNA genes and further characterized by partial sequencing of 16S rDNA genes. At day 1 the inoculum contained at least five distinct Archaeal peaks close to known methanogenic species. The dominant peak was very close to Methanosaeta concilli, the remaining species being members of the Methanobacteriales and Methanomicrobiales. A rapid shift of the Archaeal population was observed during the experiment. At day 21 Methanobacterium formicicum, which was not detected at day 1, became the dominant methanogenic species in the bioreactor and remained so until the end of the experiment.

Monitoring of activity dynamics of an anaerobic digester bacterial community using 16S rRNA polymerase chain reaction--single-strand conformation polymorphism analysis.

The influence of parameter changes on the bacterial community of a laboratory-scale anaerobic digester fed with glucose was investigated using a culture-independent approach based on single-strand conformation polymorphism (SSCP) analysis of total 16S rDNA and 16S rRNA amplification products. With the digester operating at steady state, the 16S rDNA SSCP patterns of the bacterial community showed eight peaks, whereas the 16S rRNA patterns showed six peaks with a very prominent one corresponding to a Spirochaetes-related bacterium. An acidic shock at pH 6 caused an increase in the 16S rRNA level of two Clostridium-related bacteria. After a 1 week starvation period, the major bacteria present reverted to a basal 16S rRNA level proportional to their 16S rDNA level. Starvation revealed the presence of a previously undetected peak whose corresponding sequence was deeply branched into the low G+C Gram-positive bacteria phylum. Twenty-four hours after a spiked addition to the starved digester community of starch, glucose, lactate or sulphate, an upsurge in several new 16S rRNA-derived peaks was observed. Thus, the perturbation approach combined with 16S rRNA analysis revealed bacteria that had not been detected through 16S rDNA analysis.

[Retirement in France: from the past to the future]. / Les retraites en France: d'hier à demain.

Mortality and fertility declines will shape the features of the elderly population in the future. Families with four generations will be frequent. The future elderly will have a higher life expectancy, the time they will live in good health will be even more longer, but they will have likely to devote a part of this time to caring about their own old parents. The proportion of widows among the future elderly will decrease, however, as celibacy and divorce have been frequent during the adulthood of these generations, the proportion of people living alone may increase. The trend will not prevent them to enter at a later age into the nursing homes since they will be probably more educated, wealthier and in better shape, as compared to the elderly of today.

16S rDNA sequence diversity of a culture-accessible part of an anaerobic digestor bacterial community.

A bacterial culture-based inventory with 16S rDNA identification of the isolates was carried out on an anaerobic digestor microbial ecosystem to compare to the 16S rDNA sequences directly retrieved from the ecosystem by a molecular inventory previously made in our laboratory. Twenty OTUs (Operational Taxonomic Units) belonging to five of the major bacterial groups were identified from 338 isolated colonies. The sequences of 13 of the 20 OTUs were not closely related to any hitherto published sequences (less than 96% sequence identity). Six OTUs out of 20 were found to have sequences similar to sequences of the molecular inventory. Despite the biases expected to be associated with the molecular and culture-based methods, the distribution of the isolated OTUs into the different bacterial phyla was similar to that of the molecular OTUs.