An indirect optimization method for biochemical systems: description of method and application to the maximization of the rate of ethanol, glycerol, and carbohydrate production in Saccharomyces cerevisiae

Three metabolic models for the production of ethanol, glycerol, and carbohydrates in yeast are optimized with respect to different production rates. While originally nonlinear, all three optimization problems are reduced in such a way that methods of linear programming can be used. The optimizations lead to profiles of enzyme activities that are compatible with the physiology of the cells, which guarantees their viability and fitness, and yield higher rates of the desired final end products than the original systems. In order to increase ethanol rate production at least three times, six enzymes must be modulated. By contrast, when the production of glycerol or carbohydrates is optimized, modulation of just one enzyme (in the case of glycerol) or two enzymes (in the case of carbohydrates) is necessary to yield significant increases in product flux rate. Comparisons of our results with those obtained from other methods show great similarities and demonstrate that both are valid methods. The choice of one or the other method depends on the question of interest. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 758-772, 1997.     

Multicriteria optimization of biochemical systems by linear programming: application to production of ethanol by Saccharomyces cerevisiae

In this study we present a method for simultaneous optimization of several metabolic responses of biochemical pathways. The method, based on the use of the power law formalism to obtain a linear system in logarithmic coordinates, is applied to ethanol production by Saccharomyces cerevisiae. Starting from an experimentally based kinetic model, we translated it to its power law equivalent. With this new model representation, we then applied the multiobjective optimization method. Our intent was to maximize ethanol production and minimize each of the internal metabolite concentrations. To ensure cell viability, all optimizations were carried out under imposed constraints. The different solutions obtained, which correspond to alternative patterns of enzyme overexpression, were implemented in the original model. We discovered few discrepancies between the S-system-optimized steady state and the corresponding optimized state in the original kinetic model, thus demonstrating the suitability of the S-system representation as the basis for the optimization procedure. In all optimized solutions, the ATP level reached its maximum and any increase in its activity positively affected the optimization process. This work illustrates that in any optimization study no single criteria is of general application being the multiobjective and constrained task the proper way to address it. It is concluded that the proposed multiobjective method can serve to carry out, in a single study, the general pattern of behavior of a given metabolic system with regard to its control and optimization.     

Efficient production of 2,3-butanediol in Saccharomyces cerevisiae by eliminating ethanol and glycerol production and redox rebalancing

2,3-Butanediol is a promising valuable chemical that can be used in various areas as a liquid fuel and a platform chemical. Here, 2,3-butanediol production in Saccharomyces cerevisiae was improved stepwise by eliminating byproduct formation and redox rebalancing. By introducing heterologous 2,3-butanediol biosynthetic pathway and deleting competing pathways producing ethanol and glycerol, metabolic flux was successfully redirected to 2,3-butanediol. In addition, the resulting redox cofactor imbalance was restored by overexpressing water-forming NADH oxidase (NoxE) from Lactococcus lactis. In a flask fed-batch fermentation with optimized conditions, the engineered adh1Δadh2Δadh3Δadh4Δadh5Δgpd1Δgpd2Δ strain overexpressing Bacillus subtilis α-acetolactate synthase (AlsS) and α-acetolactate decarboxylase (AlsD), S. cerevisiae 2,3-butanediol dehydrogenase (Bdh1), and L. lactis NoxE from a single multigene-expression vector produced 72.9 g/L 2,3-butanediol with the highest yield (0.41 g/g glucose) and productivity (1.43 g/(L·h)) ever reported in S. cerevisiae.     

Improving the ethanol yield by reducing glycerol formation using cofactor regulation in Saccharomyces cerevisiae

To increase ethanol yield and decrease glycerol production in Saccharomyces cerevisiae, the strategies of direct cofactor-regulation were explored. During anaerobic batch fermentations, the yeast expressing Bacillus cereus gapN gene, encoding non-phosphorylating NADP(+)-dependent glyceraldehyde-3-phosphate dehydrognease, produced 73.8?g ethanol?l(-1), corresponding to 96% of theoretical maximum yield compared to 92% for the wild type. The yeast expressing Escherichia coli frdA gene encoding the NAD(+)-dependent fumarate reductase, exhibited a 22% (relative to the amount of substrate consumed) increase in glycerol yield in medium containing 2?g fumarate?l(-1). The yeast expressing mhpF gene, encoding acetylating NAD(+)-dependent acetaldehyde dehydrogenase, produced 74.5?g ethanol?l(-1), corresponding to 97.4% of theoretical maximum yield while glycerol decreased by 40% when acetic acid was added before inoculation. This strain represents a promising alternative for ethanol production with lignocellulosic hydrolysates where acetate is available at significant amounts.     

On-line monitoring of ethanol,acetaldehyde and glycerol during industrial fermentations with Saccharomyces cerevisiae

Industrial fermentations carried out in a 500-1 bioreactor were monitored on-line by a prototype of a split-flow modified thermal biosensor. Acetaldehyde and glycerol in the extracellular broth were monitored over the first 48 h of fed-batch fermentations. The aim was to determine the usefulness of these secondary metabolites for on-line monitoring and control. When fermentation of the 13–16 g/l batch sugar was monitored, using immobilised aldehyde dehydrogenase, the acetaldehyde reached a peak value of 0.3 g/l. With immobilised alcohol oxidase a much larger peak of 3.5 g/l ethanol was seen immediately after the acetaldehyde peak. When glycerokinase was used a delayed peak of 1 g/l glycerol was monitored. Of the three metabolites monitored, the ethanol proved the most valuable indicator of suitable timing for the start of the feeding phase and later for controlling and preventing overfeed using the on-line biosensor system.     

Metabolic engineering of Saccharomyces cerevisiae for the biotechnological production of succinic acid

The production of bio-based succinic acid is receiving great attention, and several predominantly prokaryotic organisms have been evaluated for this purpose. In this study we report on the suitability of the highly acid- and osmotolerant yeast Saccharomyces cerevisiae as a succinic acid production host. We implemented a metabolic engineering strategy for the oxidative production of succinic acid in yeast by deletion of the genes SDH1, SDH2, IDH1 and IDP1. The engineered strains harbor a TCA cycle that is completely interrupted after the intermediates isocitrate and succinate. The strains show no serious growth constraints on glucose. In glucose-grown shake flask cultures, the quadruple deletion strain Δsdh1Δsdh2Δidh1Δidp1 produces succinic acid at a titer of 3.62 g L^?1 (factor 4.8 compared to wild-type) at a yield of 0.11 mol (mol glucose)^?1. Succinic acid is not accumulated intracellularly. This makes the yeast S. cerevisiae a suitable and promising candidate for the biotechnological production of succinic acid on an industrial scale.     

Increased ethanol production from glycerol by Saccharomyces cerevisiae strains with enhanced stress tolerance from the overexpression of SAGA complex components

During the industrial production of ethanol using yeast, the cells are exposed to stresses that affect their growth and productivity; therefore, stress-tolerant yeast strains are highly desirable. To increase ethanol production from glycerol, a greater tolerance to osmotic and ethanol stress was engineered in yeast strains that were impaired in endogenous glycerol production by the overexpression of both SPT3 and SPT15, components of the SAGA (Spt-Ada-Gcn5-acetyltransferase) complex. The engineered strain YPH499fps1Δgpd2Δ (pGcyaDak, pGupSpt3.15Cas) formed significantly more biomass compared to the strain YPH499fps1Δgpd2Δ (pGcyaDak, pGupCas), and both engineered strains displayed increased biomass when compared to the control YPH499 fps1Δgpd2Δ (pESC-TRP) strain. The trehalose accumulation and ergosterol content of these strains were 2.3-fold and 1.6-fold higher, respectively, than the parent strains, suggesting that levels of cellular membrane components were correlated with the enhanced stress tolerance of the engineered strains. Consequently, the ethanol production of the engineered strain YPH499fps1Δgpd2Δ (pGcyaDak, pGupSpt3.15Cas) was 1.8-fold more than that of strain YPH499fps1Δgpd2Δ (pGcyaDak, pGupCas), with about 8.1g/L ethanol produced. In conclusion, we successfully established that the co-expression of SPT3 and SPT15 that improved the fermentation performance of the engineered yeast strains which produced higher ethanol yields than stress-sensitive yeast strains.     

Continuous glycerol production by the sulphite process with immobilized cells of Saccharomyces cerevisiae

Summary Glycerol fermentations by the sulphite process with immobilized yeast cells were carried out successfully in continuous culture in a fixed-bed column reactor. In comparison to continuous glycerol fermentations with free yeast cells, fourfold higher dilution rates were obtained. The stability of the immobilized cell system was dependent on dilution rate (D) and temperature. Glycerol yields were influenced by the ratio of sugar to Na₂SO₃ in the feed. At a flow rate of D = 0.06 h ^–1 glycerol concentrations up to 25 g1 ^–1 were measured in the effluent with an average volumetric productivity of 35 g 1 ^–1 per day. A constant production rate was maintained for nearly 9 months.Offprint requests to: H.-J. Rehm     

Acylphosphatase increases the rate of ethanol production from glucose in cell-free extracts of Saccharomyces cerevisiae

Addition of acylphosphatase exerted a stimulating effect on the alcoholic fermentation of glucose by Saccharomyces cerevisiae. The rates of glucose degradation and ethanol production by cell-free extracts of the S-288C strain were measured in the absence and in the presence of various levels of this enzyme. Two acylphosphatase isoenzymes were used; one was purified from horse skeletal muscle and the other from human erythrocytes. Both increased the rate of alcoholic fermentation, but that from erythrocytes proved to be the more efficient. This stimulating action is probably due to an "uncoupling effect" of acylphosphatase on the fermentative process, through hydrolysis of 3-phosphoglyceroyl phosphate. This was demonstrated by the fact that alcoholic fermentation was stimulated considerably by a mixture of ADP and inorganic phosphate and by arsenate as well. The possibility of improving the fermentative capacity of microorganisms may have important biotechnological applications.     

Lactose/whey utilization and ethanol production by transformed Saccharomyces cerevisiae cells

Strains of Saccharomyces cerevisiae transformed with a multicopy expression vector bearing both the Escherichia coli beta-galactosidase gene under the control of the upstream activating sequence of the GAL1-10 genes and the GAL4 activator gene release part of beta-galactosidase in the growth medium. This release is due to cell lysis of the older mother cells; the enzyme maintains its activity in buffered growth media. Fermentation studies with transformed yeast strains showed that the release of beta-galactosidase allowed an efficient growth on buffered media containing lactose as carbon source as well as on whey-based media. The transformed strains utilized up to 95% of the lactose and a high growth yield was obtained in rich media. High productions of ethanol were also observed in stationary phase after growth in lactose minimal media.     

Study of the production of fructose and ethanol from sucrose media by Saccharomyces cerevisiae

The production of ethanol and enriched fructose syrups from a synthetic medium with various sucrose concentrations using the mutant Saccharomyces cerevisiae ATCC 36858 was investigated. In batch tests, fructose yields were above 90% of theoretical values for the sucrose concentrations between 35 g/l and 257 g/l. The specific growth rates and biomass yields were from 0.218 to 0.128 h(-1) and from 0.160 to 0.075 g biomass/g of glucose and fructose consumed, respectively. Ethanol yields were in the range of 72 to 85% of theoretical value when sucrose concentrations were above 81 g/l. The volumetric ethanol productivity was 2.23 g ethanol/(l h) in a medium containing 216 g/l sucrose. Fructo-oligosaccharides and glycerol were also produced in the process. A maximum fructo-oligosaccharides concentration (up to 9 g/l) was attained in the 257 g/l sucrose medium in the first 7 h of the fermentation. These sugars started to be consumed when the concentrations of sucrose in the media were less than 30% of its initial values. The fructo-oligosaccharides mixture was composed of 6-kestose (61.5%), neokestose (29.7%) and 1-kestose (8.8%). The concentration of glycerol produced in the process was less than 9 g/l. These results will be useful in the production of enriched fructose syrups and ethanol using sucrose-based raw materials.     

The role of acetaldehyde and glycerol in the adaptation to ethanol stress of Saccharomyces cerevisiae and other yeasts

Ethanol inhibition is a commonly encountered stress condition during typical yeast fermentations and often results in reduced fermentation rates and production yields. While past studies have shown that acetaldehyde addition has a significant ameliorating effect on the growth of ethanol-stressed Saccharomyces cerevisiae , this study investigated the potential ameliorating effect of acetaldehyde on a wide range of ethanol-stressed yeasts. Acetaldehyde does not appear to be a universal ameliorating agent for yeasts exposed to ethanol stress. It is also shown that as a result of an ethanol stress, most yeasts rapidly produce glycerol as an alternative means of NAD⁺ regeneration rather than having a specific requirement for glycerol. The results strongly suggest that both ethanol and acetaldehyde exposure have a direct effect on the cellular NAD⁺/NADH ratio, which can manifest itself as modulations in glycerol production.     

Effects of T-2 toxin on ethanol production by Saccharomyces cerevisiae.

A trichothecene mycotoxin, T-2 toxin, inhibits several aspects of cellular physiology in Saccharomyces cerevisiae, including protein synthesis and mitochondrial functions. We have studied growth of, glucose utilization by, and ethanol production by S. cerevisiae and show that they are inhibited by T-2 toxin between 20 and 200 micrograms/ml in a dose-dependent manner. At 200 micrograms/ml, T-2 toxin causes cell death. This apparent inhibition of ethanol production was found to be the result of growth inhibition. On the basis of biomass or glucose consumption, T-2 toxin increased the amount of ethanol present in the culture. This suggests that T-2 inhibits oxidative but not fermentative energy metabolism by inhibiting mitochondrial function and shifting glucose catabolism toward ethanol formation. As T-2 toxin does not directly inhibit ethanol production by S. cerevisiae, this system could be used for ethanol production from trichothecene-contaminated grain products.     

Improved ethanol production by glycerol-3-phosphate dehydrogenase mutants of Saccharomyces cerevisiae

The anaerobic performance of gpd1Δ and gpd2Δ mutants of Saccharomyces cerevisiae was characterized and compared to that of a wild-type strain under well-controlled conditions by using a high-performance bioreactor. There was a 40% reduction in glycerol level in the gpd2Δ mutant compared to the wild-type. Also the gpd1Δ mutant showed a slight decrease in glycerol formation but to a much lesser degree. As a consequence, ethanol formation in the gpd2Δ mutant was elevated by 13%. In terms of growth, the gpd1Δ mutant and the wild-type were indistinguishable. The gpd2Δ mutant, on the other hand, displayed an extended lag phase as well as a reduced growth rate under the exponential phase. Even though glycerol-3-phosphate dehydrogenase 2 (GPD2) is the important enzyme under anaerobic conditions it can, at least in part, be substituted by GPD1. This was indicated by the higher expression level of GPD1 in the gpd2Δ mutant compared to the wild type. These results also show that the cells are able to cope and maintain redox balance under anaerobic conditions even if glycerol formation is substantially reduced, as observed in the gpd2Δ mutant. One obvious way of solving the redox problem would be to make a biomass containing less protein, since most of the excess NADH originates from amino acid biosynthesis. However, the gpd2Δ mutant did not show any decrease in the protein content of the biomass. Received: 16 February 1998 / Received revision: 16 March 1998 / Accepted: 1 June 1998     

The effect of micro-aerobic conditions on continuous ethanol production by Saccharomyces cerevisiae

Summary The effect of trace amounts of oxygen on the degree of ethanol inhibition in a continuous anaerobic culture of Saccharomyces cerevisiae was studied at the 100 gl ^–1 feed glucose concentration level. Results showed that the use of micro-aerobic conditions (0,5% of saturation) enhanced the utilisation of substrate by increasing the ethanol tolerance of the yeast without any significant decrease in the ethanol yield per unit substrate consumed. When the results were fitted to an equation of the form % MathType!MTEF!2!1!+-% feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqcLbyacaqG8o% GaaeypaiqabY7agaqcaiaab6cadaWcaaGcbaqcLbyacaqGdbWaaSba% aSqaaKqzagGaae4CaaWcbeaaaOqaaKqzagGaae4qamaaBaaaleaaju% gGbiaabohaaSqabaqcLbyacqGHRaWkcaqGlbWaaSbaaSqaaKqzagGa% ae4CaaWcbeaaaaqcLbyacaGGUaWaaSaaaOqaaKqzagGaae4samaaBa% aaleaajugGbiaabchaaSqabaaakeaajugGbiaabUeadaWgaaWcbaqc% LbyacaqGWbaaleqaaKqzagGaey4kaSIaaeywamaaBaaaleaajugGbi% aabchacaqGZbaaleqaaKqzagGaaiOlaiaacIcacaqGdbWaaSbaaSqa% aKqzagGaae4CaiaabAgaaSqabaqcLbyacqGHsislcaqGdbWaaSbaaS% qaaKqzagGaae4CaaWcbeaajugGbiaacMcaaaaaaa!6301!\[{\text{\mu = \hat \mu }}{\text{.}}\frac{{{\text{C}}_{\text{s}} }}{{{\text{C}}_{\text{s}} + {\text{K}}_{\text{s}} }}.\frac{{{\text{K}}_{\text{p}} }}{{{\text{K}}_{\text{p}} + {\text{Y}}_{{\text{ps}}} .({\text{C}}_{{\text{sf}}} - {\text{C}}_{\text{s}} )}}\]it was found that the values for % MathType!MTEF!2!1!+-% feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabeiVdyaaja% aaaa!373F!\[{\text{\hat \mu }}\], K_s and Y_ps were the same as for the non-aerobic case while the ethanol inhibition constant, K_p , had increased from 5,2 to 14,0 gl ^–1.Notation C_sf feed substrate concentration - gl ^–1 - C_s substrate concentration gl ^–1 - C_p product concentration - gl ^–1 - C_x cell concentration - gl ^–1 - D dilution rate - h^-1 - K_s substrate saturation constant - gl ^–1 - K_p product inhibition constant - gl ^–1 - m maintenance coefficient - h^–1 - Y_ps product yield coefficient - g EtOH/g glucose - Y_xs cell yield coefficient - g cells/g glucose - specific growth rate - h^–1 - % MathType!MTEF!2!1!+-% feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabeiVdyaaja% aaaa!373F!\[{\text{\hat \mu }}\] maximum specific growth rate - h^–1     

Modelling of ethanol production by Saccharomyces cerevisiae from a glucose and maltose mixture

Summary A model for ethanol production from a glucose-maltose mixture has been proposed, which includes a term representing the glucose repression effect on maltose consumption. The model parameters were estimated from batch experimental data. Results of sensitivity analysis on the Monod constants for glucose and maltose, and the repression constant, showed that ±10% changes in these three parameters caused no significant effect on data fitting.