Mixed substrate growth of methylotrophic yeasts in chemostat culture: Influence of the dilution rate on the utilisation of a mixture of glucose and methanol

The growth of Hansenula polymorpha and Kloeckera sp. 2201 with a mixture of glucose and methanol (38.8%/61.2%, w/w) and the regulation of the methanol dissimilating enzymes alcohol oxidase, catalase, formaldehyde dehydrogenase and formate dehydrogenase were studied in chemostat culture, as a function of the dilution rate. Both organisms utilized and assimilated glucose and methanol simultaneously up to dilution rates of 0.30 h^-1 (H. polymorpha) and 0.26h^-1, respectively (Kloeckera sp. 2201) which significantly exceeded _max found for the two yeasts with methanol as the only source of carbon. At higher dilution rates methanol utilisation ceased and only glucose was assimilated. Over the whole range of mixed-substrate growth both carbon sources were assimilated with the same efficiency as during growth with glucose or methanol alone.In cultures of H. polymorpha, however, the growth yield for glucose was lowered by the unmetabolized methanol at high dilution rates. During growth on both carbon sources the repression of the synthesis of all catabolic methanol enzymes which is normally caused by glucose was overcome by the inductive effect of the simultaneously fed methanol. In both organisms the synthesis of alcohol oxidase was found to be regulated differently as compared to catalase, formaldehyde and formate dehydrogenase. Whereas increasing repression of the synthesis of alcohol oxidase was found with increasing dilution rates as indicated by gradually decreasing specific activities of this enzyme in cell-free extracts, the specific activities of this enzyme in cell-free extracts, the specific activities of catalase and the dehydrogenases increased with increasing growth rates until repression started. The results indicate similar patterns of the regulation of the synthesis of methanol dissimilating enzymes in different methylotrophic yeasts.Abbreviations and Terms C₁ Methanol - C₆ glucose; D dilution rate (h^-1) - D _c critical dilution rate (h^-1) - q _s specific, rate of substrate consumption (g substrate [g cell dry weight]^-1 h^-1) - q _CO2 and q _O2 are the specific rates of carbon dioxide release and oxygen consumption (mmol [g cell dry weight]^-1 h^-1) - RQ respiration quotient (q _CO2 q _O2 ¹ ) - s ₀(C₁) and s ₀(C₆) are the concentrations of methanol and glucose in the inflowing medium (g l^-1) - s residual substrate concentration in the culture liquid (g l^-1) - Sp. A. enzyme specific activity - x cell dry weight concentration (gl^-1) - Y _X/C6 growth yield on glucose (g cell dry weight [g substrate]^-1     

Influence of dilution rate on the acidogenic phase products distribution during two-phase lactose anaerobiosis

Acidogenic fermentation of lactose was carried out in a continuous stirred reactor with a mixed anaerobic culture. From the variation of the reactor products with pH and dilution rate two possible carbon flow schemes were proposed for the reaction. In both schemes the carbon flow from pyruvate to butyrate and lactate was assumed to occur in parallel. A change in gas composition and in product concentrations at dilution rates between 0.1 and 0.15 h(-1) for pH levels between 4.5 and 6.0 was ascribed to a shift in microbial population. To clarify the mechanism radiotracer tests were made using [U-(14)C]-butyrate, [2-(14)C]-propionate and [U-(14)C]-lactate to determine the path of carbon flow during acidogenesis of lactose using a mixed culture. At a dilution rate between 0.1 and 0.15 h(-1) and pH from 4.5 to 6.0 a rise in the lactate concentration in the product was shown to be due to a microbial population shift which disabled the conversion of lactate to other intermediary metabolites. It was also found that the flow of carbon from pyruvate to butyrate and lactate occurred by parallel pathways. Also, in the presence of hydrogen reducing methanogens, lactate was almost completely converted to acetate and not propionate. Butyrate was found to be converted to acetate at a slow rate as long as hydrogen reducing methanogens were present. The role played by propionibacteria in this lactose acidogenic eocosystem was minor. From the carbon flow model it can be concluded that lactate is the most suitable marker for optimizing an acidogenic reactor in a two-phase biomethanation process.     

Regulatory flexibility of methylotrophic yeasts in chemostat cultures: Simultaneous assimilation of glucose and methanol at a fixed dilution rate

The influence of the composition of methanol/glucose-mixtures as only sources of carbon and energy on growth and regulation of the synthesis of enzymes involved in methanol-dissimilation was studied under chemostat conditions at a fixed dilution rate with the methylotrophic yeasts Hansenula polymorpha and Kloeckera sp. 2201. Both carbon sources were found to be utilized completely independently of the composition of the C₁/C₆ mixture. Using mixtures of ¹⁴C-labelled methanol and glucose the growth yield for glucose was found to be constant for all C₁/C₆-mixtures tested and both yeasts. The growth yield for methanol, however, was reduced by up to 25% when the proportion of methanol in the inflowing medium was lower than 20% (w/w with respect to glucose) for H. polymorpha and 50% (w/w with respect to glucose) for Kloeckera sp. 2201 respectively. During growth with C₁/C₆-mixtures containing higher C₁-proportions of methanol regular growth yields for methanol were recorded which corresponded to the growth yields found with methanol as the only carbon source.The regulation of the synthesis of the enzymes of the dissimilatory pathway for methanol was found to be under multiple control. Although glucose was present in the medium methanol had a positive effect on the synthesis of these enzymes. Thus, in addition to derepression induction by methanol was also observed. This inductive effect was found to increase with increasing proportions of methanol in the mixture. Depending on the enzyme, 10–40% methanol in the mixture resulted in a maximal induction with enzyme specific activities equal to those found in cells grown with methanol as the only carbon source. No further enhancements in enzyme specific activities were observed during growth on mixtures containing more than 40% methanol.Abbreviations and terms C₁ Methanol - C₆ glucose - C₁/C₆ mixture compositions are given in % (w/w) - C₀ concentration of ¹⁴C in the inflowing medium (DPM ml^-1) - C(t) concentration of ¹⁴C incorporated in cells as a function of time t (DPM ml^-1) - d dilution rate (h^-1) - DPM disintegrations per minute - q _s q _C1 and q _C6 are specific rates of consumption of substrate, methanol and glucose respectively [g (g cell dry weight)^-1 h^-1] - q _O2 and q _CO2 are the specific rates of oxygen consumption and carbon dioxide release [mmol (g cell dry weight)^-1 h^-1] - RQ respiration quotient (q _CO2 q _O2 ^-1) - s _C1 and s _C6 are the residual concentrations of methanol and glucose in the culture liquid (g l^-1) - s _O/C1 and s _O/C6 are the concentrations of methanol and glucose in the inflowing medium (g l^-1) - Sp.A. enzyme specific activity - x cell dry weight concentration (g l^-1) - Y _X/C1 and Y _X/C6 are growth yields on methanol and glucose respectively (g cell dry weight (g substrate)^-1 - Y _C/C1 growth yield with methanol with respect to carbon (g carbon assimilated (g carbon supplied)^-1 - _m maximum specific growth rate (h^-1)     

Influence of dilution rate on the morphology and technological properties ofLactobacillus delbrueckii subsp.bulgaricus

Lactobacillus delbrueckii subsp.bulgaricus ATCC 11842 was grown in a chemostat at 45°C and pH 5.5 using glucose as the carbon source, with the aim of optimizing biomass production. Cells were grown in a complex medium under nitrogen. At dilution rates lower than 0.18h^–1, it was difficult to keep steady-state conditions and pleomorphic forms were observed. The addition of 30mM Ca²⁺ and Mn²⁺ reverted the cells to normal shape: 30mM Mg²⁺ had no effect. Increasing the dilution rate resulted in normal morphology without the addition of any cations. Under these conditions, a maximum productivity of 1.24g dry biomass 1^–1 h^–1 was obtained. The maximum growth yield, corrected for maintenance, was 30g biomass mol^–1 glucose and the maintenance energy was 0.26g glucose g^–1 biomass h^–1. Lactate was the main fermentation product at all glucose concentrations used in the fed medium. Cells grown at high dilution rates had normal technological properties (acid production and proteolysis) when tested in milk.     

Influence of pesticides on yeasts colonizing leaves

The effect of nine different pesticides on the growth of yeasts isolated from the leaves of fruit and forest trees was investigated. Four insecticides (with the active ingredients: thiacloprid, deltamethrin, lambdacyhalothrin, and thiamethoxam) and five fungicides (with the effective substances: bitertanol, kresoxim-methyl, mancozeb, trifloxystrobin, and cupric oxychloride) were tested. The concentrations of chemicals were those recommended by the manufacturers for the spraying of trees. The yeast strains isolated from the leaves of fruit trees were not sensitive to any of the insecticides. The majority of yeast strains isolated from the leaves of forest trees were either not sensitive or only to a small extent. While Rhodotorula mucilaginosa and Pichia anomala were not affected by any insecticide, the strains of Cryptococcus laurentii and Rhodotorula glutinis showed the highest sensitivity. The effects of fungicides on the growth of isolated yeasts were more substantial. The fungicide Dithane DG (mancozeb) completely inhibited the growth of all yeasts. All strains isolated from fruit tree leaves were more resistant to the tested fungicides than those isolated from the leaves of forest trees. The most resistant strains from the leaves of fruit trees belonged to the species Metschnikowia pulcherrima, Pichia anomala, and Saccharomyces cerevisiae, whereas Cryptococcus albidus and C. laurentii, originating from the leaves of forest trees, showed the highest sensitivity to fungicides.     

Application of fuzzy logic to the Apgar scoring system

Apgar fuzzy expert system (AFES) applied fuzzy logic to the Apgar Scoring System (APG). We prepared the AFESs for both an inexperienced obstetrician (resident A) and an experience obstetrician (specialist B) separately. We then compared their evaluations of the same 80 neonates at 1 min after birth using both the AFES and the APG. Analysis of the relationship of the general evaluation by the APG (scores below 6 or over 7) and the AFES (bad or good) to the umbilical arterial blood gases (pH below or above 7.20) showed that the sensitivities were 0.36 for the APG evaluation by resident A, 0.50 for the APG evaluation by specialist B, 0.60 for the AFES rating by resident A, and 0.71 for the AFES rating by specialist B. The specificities were 0.94, 0.95, 0.97 and 0.97, respectively. These results demonstrated that the AFES was capable of reflecting the recognition of the examiner.     

Segmentation of protein surfaces using fuzzy logic

An algorithm has been developed that can be used to divide triangulated molecular surfaces into distinct domains on the basis of physical and topographical molecular properties. Domains are defined by a certain degree of homogeneity concerning one of these properties. The method is based on fuzzy logic strategies, thus taking into consideration the smooth changes of the properties considered along complex macromolecular surfaces. Scalar qualities assigned to every node point on a triangulated surface are translated into linguistic variables, which can then be processed using a special fuzzy dissimilarity operator.Possible applications are demonstrated using surface segmentation for properties like electrostatic potential, lipophilicity and shape for the analysis of serine proteinase substrate/inhibitor specificity.     

A fuzzy logic model of fracture healing

A quantitative biomechanical model describes the tissue transformation during healing of a transverse osteotomy of a sheep metatarsal. The model predicts bridging of the bone ends through cartilage, followed by the growth of a callus cuff, and finally, the resorption of callus after ossification of the interfragmentary gap. We suggest bone density or the modulus of elasticity do not sufficiently characterize healing tissue for predictive purposes. In addition to the stimulus reflected by strain energy density we introduce a new osteogenic factor based upon stress gradients and which predicts areas of a high osteogenic capacity. Our model distinguishes three basic types of tissue, namely bone, cartilage and fibrous tissue. A fuzzy controller is proposed to model the tissue reaction. A set of fuzzy rules derived from medical knowledge has been implemented to describe tissue transformation such as intramembraneous or chondral ossification, atrophy or destruction. Fuzzy logic is able to model tissue transformation processes within the numerical simulation of remodeling processes. This approach improves the simulation tools and affords the potential to optimize planning of animal experiments and conduct parametric studies.     

Effect of furfural on the growth of lactose-utilizing Candida Blankii 35

The effects of furfural on the growth of the lactose-utilizing yeast Candida blankii 35 were investigated using the method of continuous cultivation under conditions of carbon limitation and at dilution rates of 0.1 and 0.25 h⁻¹. The data obtained at dilution rate 0.1 h⁻¹ and 0.04% furfural showed a decrease in the yield of biomass by 6% and in the RNA content, but the synthesis of cell protein increased with 11.6% compared to the control. Treatment with 0.08% furfural induced significant changes in growth and biosynthesizing ability. A strong inhibitory effect of furfural was observed: the biomass yield decreased by half at 48 h and the culture the reached the control level of protein content. The effect of 0.02% furfural at 0.25 h⁻¹ dilution rate caused a significant reduction of biomass yield (34.4%) and the substrate utilization rate reached values higher by 52.4% at 48 h, but the protein-synthesizing ability of the cells slightly increased. The results showed that a treatment with 0.04 or 0.08% furfural caused significant disturbances of cell functions, the yields of biomass and protein drastically decreased and the culture was washed out. Data showed that the inhibitory effect of furfural on the growth and protein-synthesizing ability of Candida blankii 35 depends on the inhibitor concentration as well as the dilution rate. This revised version was published online in August 2006 with corrections to the Cover Date.     

Optimization of a two-stage recombinant fermentation process: the dilution rate effect

The effects of dilution rates on the performance of a two-stage fermentation system for a recombinant Escherichia coli culture were studied. Dilution rate determines the apparent or averaged specific growth rate of a heterogeneous population of cells in the recombinant culture. The specific growht rate affects the genetic parameters involved in product formation in the second stage, such as plasmid stability, plasmid content, and specific gene expression rate. Kinetic models and correlations were developed for these parameters based on experimental data. Simulations of plasmid stability in the first stage showed that for longer fermentation periods, plasmid stability is better at higher dilution rates. However, the plasmid content is lower at these dilution rates. The optimal apparent specific growth rate for maximum productivity in the second stage was determined using two methods: (1) direct search for a constant specific growth rate, and (2) dynamic optimization using the maximum principle for a time-dependent specific growth rate profile. The results of the calculations showed that the optimum constant apparent specific growth rate for maximum over-all productivity is 0.40 h(-1). This coincides with the optimal specific growht rate for maximum plasmid content in the expressed stage. A 3.5% increase in overall productivity can be obtained by using a linear time dependent apparent specific growth rate control, mu(2)(t) = 0.0007t, in the course of the fermentation time.     

Simultaneous utilization of methanol-glucose mixtures by Hansenula polymorpha in chemostat: Influence of dilution rate and mixture composition on utilization pattern

The utilization of mixtures of methanol (C(1)) and glucose (C(6)) of different composition by the methylotrophic yeast Hansenula polymorpha was studied in carbon-limited chemostat culture. For all mixtures tested a similar utilization pattern was observed: At low dilution rates both carbon sources were utilized simultaneously, but at high dilution rates the cells used glucose only and the unutilized methanol accumulated in the culture medium. When grown with C(1) only, the cells exhibited a critical dilution rate D(c)(C(1)) of 0.19 h(-1), but when C(1)-C(6) mixtures were used as the carbon and energy substrate, the yeast was able to completely utilize C(1) at dilution rates considerably higher than D(c)(C(1)). The dilution rate at which the transition from C(1)-C(6) growth to C(6) growth occurred (D(t)) was strictly dependent on the composition of the C(1)-C(6) mixture in the feed, and D(t) increased with decreasing proportions of C(1) in the mixture. During mixed substrate growth the formation of biomass from the two substrates was additive. The results reported indicate that the utilization of C(1)-C(6) mixtures and hence D(t) in H. polymorpha are subject to two different regulatory regimes. When the cells were growing with C(1)-C(6) mixtures containing more than 60% C(1), the transition form C(1)-C(6) to C(6) growth was most probably influenced by the maximum C(1) oxidizing capacity of the cells, whereas for growth with mixtures containing less than 40% C(1), a growth rate of 0.28-0.30 h(-1) seemed to be the limiting barrier for the simultaneous utilization of the components of the binary carbon and energy substrate mixture.     

Influence of broth dilution on the disruption of Escherichia coli

Summary The effect of cell concentration (5 to 150 g/L wet wt after broth dilution) on homogenizer disruption efficiency and homogenate viscosity is reported for E. coli. Broth dilution increases homogenizer efficiency and decreases feed and homogenate viscosity. However, this increase in disruption efficiency is not sufficient to warrant dilution of the broth prior to homogenization. The optimal feed concentration is the maximum possible that does not lead to practical handling difficulties due to high viscosity.     

Hybridoma antibody content and production rate in continuous culture: Effect of dilution rate

Summary Hybridoma IND1 viability was 95% for dilution rates (D) ranging from 45 to 100% of _max (0.037 hr^–1). Over this range, the cell concentration and total protein content increased with D. Washout occurred at D=0.041 hr^–1, but the intracellular protein content continued to increase. The high- and low-content modes of the intracellular antibody distribution did not vary with D. The fraction of cells with high antibody content decreased with time, except for an increase at D=0.041 hr^–1. This decrease did not affect the specific antibody production rate, which, like the high- and low-content modes, was independent of D.     

The effect of dilution rate variation on the performance of continuous fermentation

The effect of dilution rate variation on the performance of bioreactors used for continuous biomass producton is discussed. Calculations based on Powell's model of microbial dynamics show that such a mode of operation does not improve the performance of the process. Remarkable improvement of the process performance reported in literature is caused by incorrectness of the dynamic model of microbial growth which has been used in the calculations.     

Control model of human stance using fuzzy logic

 A control model of human stance is proposed based on knowledge from behavioral experiments and physiological systems. The proposed model is based on the control of global variables specific to body orientation and alignment, rather than on the control of the body’s center of mass within the base of support. Furthermore, the proposed control model is not based on purely inverted pendulum body mechanics where only motion at one joint is controlled, as for instance the ankle. In the proposed model, the degrees of freedom are controlled by using reciprocal and synergistic muscle actions at multiple joints. The control model is based on three sets of different global variables which act in parallel: (1) limb length and its derivative, (2) limb orientation and its derivative, and (3) trunk attitude and its derivative. An important feature of the control model is the use of fuzzy logic, which enables us to model experimental findings and physiological knowledge in a meaningful and explicit way using fuzzy if-then rules. In the control model, 36 fuzzy if-then rules are implemented and applied using a four-linked segment model consisting of a trunk, thigh, shank and foot. Uni- and biarticular limb muscles and trunk muscles are represented as torque actuators at each individual joint. In the model, three sets of global variables act in parallel and make corrective and coordinated responses to internal, self-induced perturbations. The data show that the use of global variables and fuzzy logic successfully enables us to model human standing with sway about a point of equilibrium. Small changes in, for example, total body sway are comparable to those seen during natural sway in human stance. The selected controllers—limb length, limb orientation and trunk attitude—seem to be appropriate for human stance control. Received: 30 October 1996/Accepted in revised form: 7 April 1997