Thiopyronine-sensitized photodynamic effect on cell growth, RNA and DNA synthesis of Chinese hamster ovary cells

After treatment of Chinese hamster ovary (CHO) cells with very low concentrations of thiopyronine (TP; 1 microgram/ml) and visible light, a delay in growth of cell cultures (prolongation of the lag phase] was observed. The lengthened lag phase, however, was followed by normal growth of the cells. The length of the lag period is dependent on the irradiation dose applied. A similar effect on DNA and RNA synthesis could be seen after photodynamic treatment with TP in CHO cells: the maxima of RNA and DNA synthesis occur later but are not significantly reduced after treatment with low concentrations of TP and irradiation with visible light. This result is further evidence that the photodynamic effect with TP does not involve attack on nuclear DNA in eukaryotic cells.     

Parameter estimation for the distribution of single cell lag times

In Quantitative Microbial Risk Assessment, it is vital to understand how lag times of individual cells are distributed over a bacterial population. Such identified distributions can be used to predict the time by which, in a growth-supporting environment, a few pathogenic cells can multiply to a poisoning concentration level.We model the lag time of a single cell, inoculated into a new environment, by the delay of the growth function characterizing the generated subpopulation. We introduce an easy-to-implement procedure, based on the method of moments, to estimate the parameters of the distribution of single cell lag times. The advantage of the method is especially apparent for cases where the initial number of cells is small and random, and the culture is detectable only in the exponential growth phase.     

Role of the stringent response in the expression and mechanism of near-ultraviolet induced growth delay

The near-ultraviolet (300-400 nm) induced growth delay of Escherichia coli cells was compared in isogenic relA+ and relA- cells illuminated either in the stationary or the exponential phase. In the latter case: (a) the relA- strains of K12 and B/r exhibited similar maximal growth lags (65 min and 55 min respectively); (b) the maximal lags were 1.5-fold and 4-fold longer, respectively, in the isogenic relA+ strains; (c) the rate of the relA- -dependent guanosine 3',5'-bis(diphosphate) (ppGpp) accumulation was three-times lower in the K12 relA+ strain as compared to the B/r relA- strain: (d) a K12 spoT mutant having an impaired rate of ppGpp degradation had a 2-fold longer lag. On the other hand, when illumination is performed in the stationary phase, isogenic relA+ and relA- cells (B/r or K12) exhibited similar growth lags at any fluences, indicating little if any involvement of the stringent response. These data extend previous observations of T.V. Ramabhadran an J. Jagger [(1976) Proc. Natl Acad. Sci. USA, 73, 59-63] but do not support their conclusion that the stringent response is the main factor responsible for growth delay. By monitoring the intracellular level of ppGpp in relA+ spoT- and relA+ spoT+ growing cells during illumination and the subsequent growth lag we observed that the initial burst of ppGpp decreases slowly all along the lag; in all relA+ strains checked the return of ppGpp to its basal level coincides with the recovery of normal growth. We conclude that it is the accumulation of ppGpp over the basal level due either to the stringent response or to prevention of ppGpp degradation that is responsible for an amplification of the growth lag.     

Management of a German cockroach population with a juvenoid bait formulation: computer simulation

A computer model was applied to simulate responses of German cockroach populations to feeding on juvenoid baits during an equilibrium, exponential, and the earliest phase of population growth. The simulations show that the renewal potential of the cockroach populations will be exhausted when about 80% or more adults become sterile. The attainment of this activity threshold will be preceded by a lag time with no apparent control effect. The time delay appears substantially shorter for both growing populations (30–60 days) than for the equilibrious one (90–120 days), but, the former ones will continue growing throughout this lag. The simulations predict that even a worse baits' performance can give sufficient control effect in the field if the baits are laid in an early phase of population growth. Thus, optimum tactics should integrate administration of juvenoid baits with an introductory reduction of cockroach population.     

Regulation of hydrolase formation and phosphate release in turimycin fermentations

During the turimycin fermentation hydrolytic enzymes are excreted responsible for orthophosphate release from phosphate-containing dissolved and undissolved complex medium constituents. Following a phosphate-limited growth period the phosphate release leads to a second growth period (diauxic growth). Depending on the rate of phosphate release the length of the lag phase of diauxic growth changes in different fermentations. The resulting second growth period is correlated with a transient delay in the formation of turimycin, of phosphatases and of nucleases. The amylolytic activities are formed already within the first hours after the beginning of fermentations. Phosphatases, nucleases and protease are excreted parallel to turimycin formation after extracellular phosphate limitation in presence of ammonia and glucose. A special role of phosphate limitation initiating enzyme synthesis is proposed.     

On the lag phase and initial decline of microbial growth curves

The lag phase is generally thought to be a period during which the cells adjust to a new environment before the onset of exponential growth. Characterizing the lag phase in microbial growth curves has importance in food sciences, environmental sciences, bioremediation and in understanding basic cellular processes. The goal of this work is to extend the analysis of cell growth curves and to better estimate the duration of the lag phase. A non-autonomous model is presented that includes actively duplicating cells and two subclasses of non-duplicating cells. The growth curves depend on the growth and death rate of these three subpopulations and on the initial proportion of each. A deterministic and a stochastic model are both developed and give the same results. A notable feature of the model is the decline of cells during the early stage of the growth curve, and the range of parameters when this decline occurs is identified. A limited growth model is also presented that accounts for the lag, exponential growth and stationary phase of microbial growth curves.     

INFLUENCE OF GROWTH STATUS AND NUTRIENTS ON EXTRACELLULAR POLYSACCHARIDE SYNTHESIS BY THE SOIL ALGA CHLAMYDOMONAS MEXICANA (CHLOROPHYCEAE)1

Increased levels of nitrogen in liquid growth medium bring about increased growth and a delay in extracellular polysaccharide production by Chlamydomonas mexicana Lewin on a per-cell basis. Addition of nitrogen to stationary phase cultures causes renewed growth and a temporary lag in polysaccharide synthesis until growth again ceases. Removal of nitrogen terminates growth, causing an immediate increase in polysaccharide synthesis. Phosphate-starved cells show a response similar to nitrogen-starved cells, indicating that the beginning of stationary phase and not nitrogen depletion causes the stimulation in extracellular polysaccharide synthesis. As similar results are assumed to occur on soil, the significance of this response is discussed.     

Survival Probability of Beneficial Mutations in Bacterial Batch Culture

The survival of rare beneficial mutations can be extremely sensitive to the organism’s life history and the trait affected by the mutation. Given the tremendous impact of bacteria in batch culture as a model system for the study of adaptation, it is important to understand the survival probability of beneficial mutations in these populations. Here we develop a life-history model for bacterial populations in batch culture and predict the survival of mutations that increase fitness through their effects on specific traits: lag time, fission time, viability, and the timing of stationary phase. We find that if beneficial mutations are present in the founding population at the beginning of culture growth, mutations that reduce the mortality of daughter cells are the most likely to survive drift. In contrast, of mutations that occur de novo during growth, those that delay the onset of stationary phase are the most likely to survive. Our model predicts that approximately fivefold population growth between bottlenecks will optimize the occurrence and survival of beneficial mutations of all four types. This prediction is relatively insensitive to other model parameters, such as the lag time, fission time, or mortality rate of the population. We further estimate that bottlenecks that are more severe than this optimal prediction substantially reduce the occurrence and survival of adaptive mutations.     

A simple structured model describing the growth of Streptomyces lividans

The growth of Streptomyces lividans in defined media was modeled using a simple structured growth model. Conventional unstructured models like Monod kinetics, substrate inhibition kinetics, and the logistic equation were also used in an attempt to fit the data, but the results were all unsatisfactory. The main reason for failure in applying simple unstructured models is that they cannot describe the long lag phases sometimes observed during growth of S. lividans. The simple structured growth model was derived along similar principles to cybernetic growth models. This model quite accurately describes the growth of S. lividans. It assumes that the rate of assimilation of a substrate depends on the concentration of a specific key enzyme. This key enzyme is only produced in the presence of the substrate, and it is broken down at a steady rate. An enzyme synthesis allocation variable, w, similar to the cybernetic variable, u, described in cybernetic growth models, is proposed to control enzyme synthesis. Until the key enzyme concentration approaches its maximum level, very little substrate is consumed. And consequently, the lag phase is sustained.     

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.     

Behavior in two-phase aqueous polymer systems of L5178Y mouse leukemic cells : II. The lag and exponential phases of growth

The behavior of lag and exponential growth phase L5178Y mouse leukemic cells under normal and prolonged lag phase conditions with respect to partition in aqueous dextran — polyethylene glycol polymer systems has been studied. ‘Backculture’ of early stationary cells into fresh growth medium is accompanied by a decrease in partition ratio from 0.52 to 0.11. The partition ratio remains depressed for a time considerably longer than the duration of lag phase but rises rapidly and returns to its former value as the cells reach late exponential/early stationary phase. If lag phase is prolonged, the time for which the partition ratio remains depressed is also prolonged. In the exponential phase following a prolonged lag phase, the partition ratio rises at a rate slower than during a normal exponential phase and does not reach the same magnitude for the same position in the cycle. Net negative surface charge as measured by particle microelectrophoresis does not change appreciably throughout the growth cycle. The results suggest that the sequence of events at the cell surface on a populational basis which contribute to the partitioning behavior is possibly predetermined or programmed at the time of transfer into fresh medium. The results further substantiate the technique of aqueous polymer partitioning as being the most sensitive method available for monitoring subtle changes in plasma membrane properties during the cell growth cycle.     

Effect of melphalan on growth curves and cell cycle distribution of four human small cell carcinomas of the lung grown in nude mice

Four human small cell carcinomas of the lung grown in nude mice were exposed to melphalan. Two of the tumors were derived from subpopulations isolated by in vitro cloning from the same tumor biopsy. The chemosensitivity of the tumors was determined by calculating the specific growth delay. Drug-induced changes in the cell cycle were detected by flow cytometric DNA analysis. The specific growth delay of the tumors was very different with the greatest differences between the two subpopulations originating from the same tumor. Melphalan induced a dose-related S phase accumulation in three sensitive tumors, whereas no changes were seen in a resistant tumor. Furthermore, the amount of S phase accumulation reflected the sensitivity to melphalan. The results suggest that heterogeneity in chemosensitivity is an important reason for chemotherapy failures.     

Intensive DNA Replication and Metabolism during the Lag Phase in Cyanobacteria

Unlike bacteria such as Escherichia coli and Bacillus subtilis, several species of freshwater cyanobacteria are known to contain multiple chromosomal copies per cell, at all stages of their cell cycle. We have characterized the replication of multi-copy chromosomes in the cyanobacterium Synechococcus elongatus PCC 7942 (hereafter Synechococcus 7942). In Synechococcus 7942, the replication of multi-copy chromosome is asynchronous, not only among cells but also among multi-copy chromosomes. This suggests that DNA replication is not tightly coupled to cell division in Synechococcus 7942. To address this hypothesis, we analysed the relationship between DNA replication and cell doubling at various growth phases of Synechococcus 7942 cell culture. Three distinct growth phases were characterised in Synechococcus 7942 batch culture: lag phase, exponential phase, and arithmetic (linear) phase. The chromosomal copy number was significantly higher during the lag phase than during the exponential and linear phases. Likewise, DNA replication activity was higher in the lag phase cells than in the exponential and linear phase cells, and the lag phase cells were more sensitive to nalidixic acid, a DNA gyrase inhibitor, than cells in other growth phases. To elucidate physiological differences in Synechococcus 7942 during the lag phase, we analysed the metabolome at each growth phase. In addition, we assessed the accumulation of central carbon metabolites, amino acids, and DNA precursors at each phase. The results of these analyses suggest that Synechococcus 7942 cells prepare for cell division during the lag phase by initiating intensive chromosomal DNA replication and accumulating metabolites necessary for the subsequent cell division and elongation steps that occur during the exponential growth and linear phases.     

Bound-cation exchange affects the lag phase in actin polymerization

The delay or lag phase at the onset of polymerization of actin by neutral salt is generally attributed to an actin nucleation reaction. However, when nucleation is circumvented by the use of phalloidin-stabilized nuclei, a lag phase persists when Ca2+-containing actin is polymerized with MgCl2. Pretreatment of actin with ethylene glycol bis(beta-aminoethyl ether)-N,N,N',N'-tetraacetic acid (EGTA) and/or Mg2+ shortens or eliminates this lag phase, suggesting that exchange of the actin-bound divalent cation occurs during this nucleation-independent lag phase. Measurement of the actin-bound cation initially and after brief incubation with EGTA/Mg2+ directly verifies that Mg2+ has replaced Ca2+ as the actin-bound cation, producing a highly polymerizable Mg2+-actin species. Bound-cation exchange prolongs the lag phase in actin polymerization and probably explains what has been termed the monomer activation step in actin polymerization.     

Biodegradation of chlorophenol mixtures by Pseudomonas putida

The dynamic growth behavior of Pseudomonas putida has been studied when resting calls were inoculated into a growth medium containing inhibitory concentrations of mixtures of phenol and monochlorophenols. Resting cells inoculated into single carbon substrate media did not demonstrate enhanced cell lysis by any of the phenol substrates. The apprarent death rate was reduced as the concentrations of phenol or chlorophenols were increased. This behavior was modeled by employing a constant specific death rate (k(d) = 0.0075 h(-1)) and assuming all organic species result in a lag-phase, specific growth rate which may be larger or smaller than k(d).Logarithmic biomass growth on pure monochlorophenols did not occur within 2 weeks after inoculation. Logarithmic growth phases were only observed when the monochlorophenols were cometabolized with phenol. The delay time over which the lag phase exists increased exponentially with phenol concentration and linearly with monochlorophenol concentration. The log growth yield coefficient decreased linearly with monochlorophenol concentration.The lag-phase, specific growth rate was found to decrease exponentially with the concentration of monochlorophenols. This resulted in a 50% lag growth rate inhibition for both 3- and 4-chlorophenol of 9 ppm and for 2-chlorophenol of only 2 ppm. The new, empirical correlations are shown to closely model the complete lag and log growth behavior ot P. putida on phenol and chlorophenol mixtures. (c) 1992 John Wiley & Sons, Inc.     

Electromechanical delay in the vastus lateralis muscle during dynamic isometric contractions

Electromechanical delay (EMD) values were obtained using a cross-correlation technique for a series of 14 repetitive submaximal dynamic isometric contractions of the vastus lateralis performed by five subjects. To avoid a phase lag, which is introduced with one-way filtering, the EMG was processed with a bi-directional application of a second-order Butterworth filter. A mean EMD value of 86 ms (SD = 5.1 ms) was found. Moreover, contraction and relaxation delays were computed and compared. There was a significant difference between the contraction and relaxation delays (P less than 0.005). The mean contraction delay was 81.9 ms and the mean relaxation delay was 88.8 ms. Despite this significant difference, the computed contraction and relaxation delay values lie in the same range as the total phase lag, calculated with the cross-correlation technique. The magnitude of EMD values found supports the need to account for this delay when interpreting temporal aspects of patterns of intermuscular coordination.     

Comparison of definitions of the lag phase and the exponential phase in bacterial growth.

Different definitions for the lag time and of the duration of the exponential phase can be used to calculate these quantities from growth models. The conventional definitions were compared with newly proposed definitions. It appeared to be possible to derive values for the lag time and the duration of the exponential phase from the growth models and differences between the various definitions could be quantified. All the different values can be calculated from the growth parameters microm, lambda and alpha. Therefore, it appeared to be unnecessary to use complicated mathematical equations; simple equations were adequate. For the Gompertz model the conventional definition of the lag time did not differ appreciably from the newly proposed definition. The end-point of the exponential phase and thus the duration of the exponential phase differed considerably for the two definitions. For the logistic model the two definitions lead to considerable differences for all quantities. It is recommended that the conventional definition is used for calculating the lag time. For the duration of the exponential phase it is recommended that the new definition is used. The value can be calculated, however, directly from the conventional growth parameters.     

Mutagenic analysis of the nucleation propensity of oxidized Alzheimer's beta-amyloid peptide

The formation of polypeptide aggregates represents a nucleated polymerization reaction in which an initial nucleation event (lag phase) is followed by the extension of newly formed nuclei into larger aggregates, including fibrils (growth phase). The efficiencies of these reactions relate to the lag time (lag phase) and to the rate of aggregation (growth phase), which can be determined from experimental aggregation curves. Here we present a mutagenic analysis in which we replace valine 18 of the Alzheimer's Abeta (1-40) peptide with 17 different amino acids and determine its effect on the lag time, and therefore, on the propensity of nucleation. Comparison with various physico-chemical properties shows that nucleation is affected in a predictable manner depending on the beta-sheet propensity and hydrophobicity of residue 18. In addition, we observe a direct proportionality between the lag time and the rate of aggregation. These data imply that the two reactions, nucleation and polymerization, are governed by very similar physicochemical principles and that they involve the formation of the same types of noncovalent interactions.