Correlation between the change in the kinetics of the ribosomal RNA rrnB P2 promoter and the transition from lag to exponential phase with Pseudomonas fluorescens.
Developing accurate mathematical models to describe the pre-exponential lag phase in food-borne pathogens presents a considerable challenge to food microbiologists. While the growth rate is influenced by current environmental conditions, the lag phase is affected in addition by the history of the inoculum. A deeper understanding of physiological changes taking place during the lag phase would improve accuracy of models, and in earlier studies a strain of Pseudomonas fluorescens containing the Tn7-luxCDABE gene cassette regulated by the rRNA promoter rrnB P2 was used to measure the influence of starvation, growth temperature and sub-lethal heating on promoter expression and subsequent growth. The present study expands the models developed earlier to include a model which describes the change from exponential to linear increase in promoter expression with time when the exponential phase of growth commences. A two-phase linear model with Poisson weighting was used to estimate the lag (LPDLin) and the rate (RLin) for this linear increase in bioluminescence. The Spearman rank correlation coefficient (r=0.830) between the LPDLin and the growth lag phase (LPDOD) was extremely significant (P<or=0.001). A combined model was constructed which simulated the promoter activity over the whole range of cell adaptation and exponential growth. These results suggest that models based on measurable physiological changes in the cells can be useful in predicting the behaviour of food-borne pathogens.
McKellar
Robin C
RC
Guelph Food Research Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada N1G 5C9. robin.mckellar@sympatico.ca
D000222:Adaptation, Physiological; D000704:Analysis of Variance; D015169:Colony Count, Microbial; D005516:Food Microbiology; D015964:Gene Expression Regulation, Bacterial; D006358:Hot Temperature; D007700:Kinetics; D016014:Linear Models; D008433:Mathematics; D008954:Models, Biological; D016012:Poisson Distribution; D011237:Predictive Value of Tests; D011401:Promoter Regions, Genetic / Q000502:physiology*; D011551:Pseudomonas fluorescens / Q000235:genetics / Q000254:growth & development* / Q000502:physiology*; D012335:RNA, Ribosomal / Q000235:genetics; D012044:Regression Analysis; D018709:Statistics, Nonparametric; D013997:Time Factors; D012407:rRNA Operon / Q000235:genetics
D012335:RNA, Ribosomal