KCl activates phospholipase D at two different concentration ranges: distinguishing between hyperosmotic stress and membrane depolarization

Hyperosmotic stress induces the rapid formation of phosphatidic acid (PA) in Chlamydomonas moewusii via the activation of two signalling pathways: phospholipase D (PLD) and phospholipase C (PLC), the latter in combination with diacylglycerol kinase (DGK) (Munnik et al., 2000). A concomitant increase in cell Ca(2+) becomes manifest as deflagellation. When KCl was used as osmoticum we found that two concentration ranges activated deflagellation: one between 50 and 100 mm and another above 200 mm. Deflagellation in low KCl concentrations was complete within 30 sec whereas in high concentrations it took 5 min. PLC was not activated, as it was by high KCl concentrations that cause hyperosmotic stress. Moreover PLD was activated more strongly by low than by high KCl concentrations. Potassium was the most potent monovalent cation based on the induction of deflagellation and the formation of PA and PBut. During treatment, the external medium acidified, indicating an increase in H(+)-ATPase activity in order to re-establish the membrane potential. Activation of PLD and deflagellation at low KCl concentrations were abrogated by treatment with La(3+), Gd(3+) and EGTA, indicating the dependency on extracellular Ca(2+). This suggests that low concentrations of KCl depolarize the plasma membrane, resulting in the activation of H(+)-ATPases and opening voltage-dependent Ca(2+) +/- channels, observed as deflagellation and an increase in PLD activity.     

Evaluation of Data Transformations and Validation of a Model for the Effect of Temperature on Bacterial Growth

The temperature of chilled foods is an important variable for controlling microbial growth in a production and distribution chain. Therefore, it is essential to model growth as a function of temperature in order to predict the number of organisms as a function of temperature and time. This article deals with the correct variance-stabilizing transformation of the growth parameters A (asymptotic level), μ (specific growth rate), and λ (lag time). This is of importance for the regression analysis of the data. A previously gathered data set and model for the effect of temperature on the growth of Lactobacillus plantarum (M. H. Zwietering, J. T. de Koos, B. E. Hasenack, J. C. de Wit, and K. van 't Riet, Appl. Environ. Microbiol. 57:1094-1101, 1991) is extended with new data. With the total data set (original and new data), a variance-stabilizing transformation is selected in order to determine which transformation should precede fitting. No transformation for the asymptote data, a square root for the growth rate, and a logarithmic transformation for the lag time were found to be appropriate. After these transformations, no significant correlation was found between the variance and the magnitude of the variable. Model corrections were made and model parameters were estimated by using the original data. With the new data, the models were validated by comparing the lack of fit of the models with the measurement error, using an F test. The predictions of the models for μ and λ were adequate. The model for A showed a systematic deviation, and therefore a new model for A is proposed.     

Modeling of Bacterial Growth with Shifts in Temperature

The temperature of chilled foods is an important variable for the shelf life of a product in a production and distribution chain. To predict the number of organisms as a function of temperature and time, it is essential to model the growth as a function of temperature. The temperature is often not constant in various stages of distribution. The objective of this research was to determine the effect of shifts in temperature. The suitability and usefulness of several models to describe the growth of Lactobacillus plantarum with fluctuating temperatures was evaluated. It can be assumed that temperature shifts within the lag phase can be handled by adding relative parts of the lag time to be completed and that temperature shifts within the exponential phase result in no lag phase. With these assumptions, the kinetic behavior of temperature shift experiments was reasonably well predicted, and this hypothesis was accepted statistically in 73% of the cases. Only shifts of temperature around the minimum temperature for growth showed very large deviations from the model prediction. The best results were obtained with the assumption that a temperature shift (within the lag phase as well as within the exponential phase) results in an additional lag phase. This hypothesis was accepted statistically in 93% of the cases. The length of the additional lag phase is one-fourth of the lag time normally found at the temperature after the shift.     

Modeling of the Bacterial Growth Curve

Several sigmoidal functions (logistic, Gompertz, Richards, Schnute, and Stannard) were compared to describe a bacterial growth curve. They were compared statistically by using the model of Schnute, which is a comprehensive model, encompassing all other models. The t test and the F test were used. With the t test, confidence intervals for parameters can be calculated and can be used to distinguish between models. In the F test, the lack of fit of the models is compared with the measuring error. Moreover, the models were compared with respect to their ease of use. All sigmoidal functions were modified so that they contained biologically relevant parameters. The models of Richards, Schnute, and Stannard appeared to be basically the same equation. In the cases tested, the modified Gompertz equation was statistically sufficient to describe the growth data of Lactobacillus plantarum and was easy to use.     

Ultrastructural identification of round-granule EC cells in rabbit fundic mucosa

In endocrine (EC) cells of rabbit fundic mucosa, it is practically impossible to obtain unequivocal ultrastructural identification of all cells found in order to perform morphometric analysis. In addition to classic EC cells with pleomorphic granules, a cell type with entirely round granules is encountered which can be confused with non-EC cells. To solve this problem, all EC cells in our study were first identified by their 5-HT (immunocytochemistry) and argentaffinity. Examination of the fine structures of reactive cells then revealed that the round granules of EC cells were differentiated from those of non-EC cells by the existence of a dense core surrounded by a less dense halo, a feature providing unequivocal ultrastructural identification. EC cells with round granules showed less argentaffinity and less immunoreactivity to 5-HT as compared with classic EC cells. After labelling with [3H]L-dopa, EC cells with round-granules displayed an overall staining index higher than that of classic EC cells and comparable with that of D cells; however, the nuclear staining index was higher than that of D cells.     

Effect of temperature and enzyme origin on the enzymatic synthesis of oligosaccharides

The aim of this research is to quantify the effect of temperature and enzyme origin on the enzymatic synthesis of oligosaccharides. Quantification of these effects is important because temperature and enzyme origin are important process parameters. A kinetic model was used to describe the concentrations in time. The kinetic parameters were determined by using data obtained in batch experiments at various temperatures (20, 30, 40, and 50 degrees C) and by using beta-galactosidases from Bacillus circulans, Aspergillus oryzae, Kluyveromyces lactis, and Kluyveromyces fragilis. The effect of temperature on the kinetic parameters could be described with the Arrhenius equation, except for the inhibition parameter. Slightly higher oligosaccharide yields were found at higher temperatures. However, the influence of the initial lactose concentration was much larger. The higher yield at higher temperatures is an additional advantage when operating at high initial lactose concentrations and consequently elevated temperatures. Clear differences between the beta-galactosidases were found concerning amount, size, and type of oligosaccharides produced. The beta-galactosidase from B. circulans produced the most abundant amount, the most different, and largest-sized oligosaccharides. The beta-galactosidases from Kluyveromyces spp. produced mainly trisaccharides. The kinetic parameters for the different enzymes were determined and differences were discussed.