ABSTRACT
Staphylococcus aureus expresses the Cnt system implicated in the active transport of trace metals by synthesizing (CntKLM) and exporting (CntE) staphylopine, a metallophore chelating metals and then taken up by an ABC-transporter (CntABCDF). This machinery is encoded in the cntKLMABCDFE operon, preceded by a non-coding region (PcntK) and containing an internal promoter region (PcntA). PcntK comprises a Fur box followed by a Zur box, a sRNA transcription start and a repeated region, while PcntA comprises a Fur box that overlaps a Zur box. We found that PcntK promoter activity is attenuated by the repeated sequence and strictly controlled by Fur or Zur binding to its respective target sequences. Interestingly, we discovered a cooperative regulation of the PcntA activity by both Fur and Zur binding to the Fur/Zur box, by identifying a tripartite complex with DNA. Repression of PcntA is less sensitive to metal concentration and therefore loosely repressed as compared to PcntK activity. Furthermore, the Cnt system is essential for the optimal import of zinc, thereby linking regulation and function of Cnt. Overall, our results highlight the need for fine and differential tuning of staphylopine biosynthesis and trafficking in order to efficiently respond to metal starvation and optimize metal recovery.
Subject(s)
Bacterial Proteins/metabolism , DNA-Binding Proteins/metabolism , Gene Expression Regulation, Bacterial , Imidazoles/metabolism , Response Elements , Staphylococcus aureus/metabolism , Bacterial Proteins/genetics , DNA-Binding Proteins/genetics , Iron/metabolism , Operon , Staphylococcus aureus/genetics , Zinc/metabolismABSTRACT
Human intoxication or infection due to bacterial food contamination constitutes an economic challenge and a public health problem. Information on the in situ distribution and expression of pathogens responsible for this risk is to date lacking, largely because of technical bottlenecks in detecting signals from minority bacterial populations within a complex microbial and physicochemical ecosystem. We simulated the contamination of a real high-risk cheese with a natural food isolate of Staphylococcus aureus, an enterotoxin-producing pathogen responsible for food poisoning. To overcome the problem of a detection limit in a solid matrix, we chose to work with a fluorescent reporter (superfolder green fluorescent protein) that would allow spatiotemporal monitoring of S. aureus populations and targeted gene expression. The combination of complementary techniques revealed that S. aureus localizes preferentially on the cheese surface during ripening. Immunochemistry and confocal laser scanning microscopy enabled us to visualize, in a single image, dairy bacteria and pathogen populations, virulence gene expression, and the toxin produced. This procedure is readily applicable to other genes of interest, other bacteria, and different types of food matrices.
Subject(s)
Bacterial Proteins/genetics , Cheese/microbiology , Food Contamination/analysis , Staphylococcus aureus/genetics , Bacterial Proteins/metabolism , Ecosystem , Enterotoxins/metabolism , Food Microbiology , Humans , Staphylococcal Infections/microbiology , Staphylococcus aureus/isolation & purification , Staphylococcus aureus/metabolismABSTRACT
Cheese is a complex and dynamic microbial ecosystem characterized by the presence of a large variety of bacteria, yeasts, and molds. Some microorganisms, including species of lactobacilli or lactococci, are known to contribute to the organoleptic quality of cheeses, whereas the presence of other microorganisms may lead to spoilage or constitute a health risk. Staphylococcus aureus is recognized worldwide as an important food-borne pathogen, owing to the production of enterotoxins in food matrices. In order to study enterotoxin gene expression during cheese manufacture, we developed an efficient procedure to recover total RNA from cheese and applied a robust strategy to study gene expression by reverse transcription-quantitative PCR (RT-qPCR). This method yielded pure preparations of undegraded RNA suitable for RT-qPCR. To normalize RT-qPCR data, expression of 10 potential reference genes was investigated during S. aureus growth in milk and in cheese. The three most stably expressed reference genes during cheese manufacture were ftsZ, pta, and gyrB, and these were used as internal controls for RT-qPCR of the genes sea and sed, encoding staphylococcal enterotoxins A and D, respectively. Expression of these staphylococcal enterotoxin genes was monitored during the first 72 h of the cheese-making process, and mRNA data were correlated with enterotoxin production.
Subject(s)
Bacterial Toxins/biosynthesis , Cheese/microbiology , Enterotoxins/biosynthesis , Gene Expression , Staphylococcus aureus/genetics , Animals , Bacterial Toxins/genetics , Enterotoxins/genetics , Milk/microbiology , RNA, Bacterial/genetics , RNA, Bacterial/isolation & purification , Reverse Transcriptase Polymerase Chain Reaction/methodsABSTRACT
We studied the diversity and dynamics of the microbiota of Calenzana, a Corsican raw milk cheese by microbial counting and culture-independent methods (TTGE and DGGE). Cheese from two farms, one producing goat cheese and the other one sheep cheese, was studied. The usual process for cheese making, without starter adjunct, was used. Lactococci and mesophilic lactobacilli were the dominant components of the flora during the early stages of the process. Microbial counting showed that the populations of salt-tolerant bacteria, yeasts and moulds were lower than in other artisanal Corsican cheeses. This difference was probably due to the surface microflora being removed during ripening. TTGE indicated that Lactococcus lactis ssp. lactis was the dominant subspecies throughout the process of Calenzana cheese making. DGGE showed the presence of numerous surface bacteria, (coryneforms) and various Gram-negative bacteria. Relationships between physico-chemical characteristics of the cheese and microflora change were also established. For example, the high NaCl content may explain the decrease of the lactic acid bacterial population during ripening. This study shows the consequences of various technological parameters on the diversity and dynamics of dairy microbial community.