Maturity and product formation in cultures of microorganisms

The concept of a maturation time (t_m) for a product formation by a microbial culture is developed and a simple method is described for determining this parameter and also the product formation rate constant (k_p) from batch culture experiments. The concept has been utilized in a general model for the prediction of steady state product concentrations in single-stage continuous-flow culture systems.     

The influence of limiting and non-limiting growth conditions on glucose and maltose metabolism in Lactococcus lactis ssp. lactis strains

Three strains of Lactococcus lactis ssp. lactis, a dairy strain 65.1, a type strain ATCC 19435, and a mutant AS 211, were grown on glucose and on maltose under chemostat conditions. When the culture was shifted from glucose-limiting to non-limiting conditions, the product shifted from mixed acids to lactate. Mixed acids were obtained in all maltose cultures; however, an enhanced lactate formation was observed in 19435 and AS 211. An inorganic-phosphate (P_i)-dependent maltose phosphorylase activity was found to be responsible for the initial conversion of maltose. The activation of maltose phosphorylase by Pi was strain-specific. When growth was on maltose under non-limiting conditions, a correlation was found between high initial maltose phosphorylase and -phosphoglucomutase activities and lactate production. No such correlation was observed in maltose-limited cells. In glucose-grown cells under non-limiting conditions, homo-fermentative lactate formation coincided with high concentrations of fructose 1,6-bisphosphate (Fru1,6P ₂) and pyruvate (Pyr) and low concentrations of phosphoenolpyruvate (PPyr). Under limiting conditions, mixed acid formation coincided with low concentrations of Fru1,6P ₂ and Pyr and high concentrations of PPyr. In maltose-grown cells there was no correlation between intracellular intermediary metabolite concentrations and product formation. Therefore, in addition to intracellular intermediary metabolite concentrations, the product formation on maltose is suggested to be regulated by the transport and initial phosphorylating steps.     

Dynamic gene expression regulation model for growth and penicillin production in Penicillium chrysogenum

As is often the case for microbial product formation, the penicillin production rate of Penicillium chrysogenum has been observed to be a function of the growth rate of the organism. The relation between the biomass specific rate of penicillin formation (q_p) and growth rate (µ) has been measured under steady state conditions in carbon limited chemostats resulting in a steady state q_p(µ) relation. Direct application of such a relation to predict the rate of product formation during dynamic conditions, as they occur, for example, in fed‐batch experiments, leads to errors in the prediction, because q_p is not an instantaneous function of the growth rate but rather lags behind because of adaptational and regulatory processes. In this paper a dynamic gene regulation model is presented, in which the specific rate of penicillin production is assumed to be a linear function of the amount of a rate‐limiting enzyme in the penicillin production pathway. Enzyme activity assays were performed and strongly indicated that isopenicillin‐N synthase (IPNS) was the main rate‐limiting enzyme for penicillin‐G biosynthesis in our strain. The developed gene regulation model predicts the expression of this rate limiting enzyme based on glucose repression, fast decay of the mRNA encoding for the enzyme as well as the decay of the enzyme itself. The gene regulation model was combined with a stoichiometric model and appeared to accurately describe the biomass and penicillin concentrations for both chemostat steady‐state as well as the dynamics during chemostat start‐up and fed‐batch cultivation. Biotechnol. Bioeng. 2010;106: 608–618. © 2010 Wiley Periodicals, Inc.     

Agitation effects on submerged growth and product formation of Aspergillus niger

Product formation of mycelial organisms, like Aspergillus niger, is intimately connected with their morphology. Pellet morphology is often requested for product formation. Therefore, it is important to reveal the influence of the hydrodynamic conditions on the morphological development. In the present study, pellet morphology and glucoamylase formation were studied under different agitation intensities of A. niger AB1.13. For pellet formation inside the bioreactor, without the use of precultures, it is necessary to work at low energy dissipation rates. Biomass growth and glucoamylase activity were correlated with energy dissipation. Furthermore, product yield was analysed in dependence of pellet size and concentration. The present work shows that simple equations based on Monod-kinetics can describe growth and product formation, in general, also in mycelian organisms. All measured morphological data, like pellet concentration, as well as glucoamylase formation, strongly depend on the hydrodynamic conditions.     

Characterizing the Freeze–Drying Behavior of Model Protein Formulations

The freeze–drying behavior of three model proteins, namely, lysozyme, BSA, and IgG, has been studied using a variety of techniques under two different primary drying conditions (shelf temperatures of −25°C and +25°C, respectively) in an amorphous formulation. Manometric temperature measurements were used to characterize product temperature (T _pr), sublimation rates, and product resistance (R _p) during primary drying. Biophysical techniques such as circular dichroism, fluorescence, and Fourier transform infrared spectroscopy were used to study protein conformation. Size exclusion chromatography was used to monitor the formation of high-molecular-weight species (HMWS) over time on storage, and cake morphology was studied using scanning electron microscopy. The differences in the freeze–drying behavior of the three proteins were more evident at higher protein concentrations, where the protein significantly influences the behavior of the formulation matrix. However, these differences were minimized in the aggressive mode and were insignificant at lower protein concentrations where excipients dominated the freeze–drying behavior. Differences in cake morphology were observed between the two drying conditions employed as well as between the three proteins studied. The stability and the protein structure, however, were equivalent for the protein cakes generated using the two different primary drying conditions.     

Effects of cultural conditions on the production of phenylalanine from a plasmid-harboring E. coli strain

Summary Phenylalanine production from E. coli KA 197/pJN6 (plasmid harboring genes for aro F, phe A^FBR, Amp^R and Tc^R) was studied under varying nutritional conditions in batch and continuous cultures. In batch culture experiments where growth was deliberately interrupted by limiting concentrations of sulphate and phosphate the phenylalanine production continued from the non-growing cells. However, the depletion of phosphate resulted in an immediate cessation of phenylalanine production but thereafter a low specific rate of phenylalanine formation resumed, while the decrease in specific rate of product formation was less after sulphate depletion. In the chemostat experiments, however, phosphate limitation was the only case where the specific rate of phenylalanine formation remained constant, while at the corresponding time in sulphate and glucose limited chemostats it was declining respectively had ceased.     

Fermentation of glycerol by Clostridium pasteurianum--batch and continuous culture studies

The fermentation of glycerol by Clostridium pasteurianum was studied with respect to product formation as influenced by the culture conditions. In the majority of batch cultures, butanol was the main fermentation product, but a varying fraction of glycerol was also converted to 1,3-propanediol, butyric and acetic acids and ethanol. More than 60 g/l glycerol was utilized, and up to 17 g/l butanol was produced. Fed-batch cultures did not offer an advantage. When molecular nitrogen was used as a nitrogen source, the fermentation time was prolonged by a factor of 1.5. Fermentations at constant pH values between 4.5 and 7.5 did not reveal significant differences in product formation except for an increase in the ethanol content starting at pH 6.5. Chemostat cultures also yielded predominantly n-butanol, but in some fermentations, the 1,3-propanediol fraction was relatively high. The pH auxostat cultures, which were operated at a glycerol excess, contained 1,3-propanediol as the main product. As a whole, the fermentations were characterized by a certain variability in product formation under seemingly equal or slightly varied conditions. It appears that the regulation of the numerous fermentation pathways occurring in this organism is not very strict. Journal of Industrial Microbiology & Biotechnology (2001) 27, 18–26. Received 25 September 2000/ Accepted in revised form 07 April 2001     

Optimization of the 11α-hydroxylation of steroid DHEA by solvent-adapted Beauveria bassiana

To extend the use of Beauveria bassiana for commercial applications, the optimization of reaction conditions and accurate prediction of biotransformation products are necessary. This work enhances the selective hydroxylation capacity of strain ATCC 7159, resulting in a cost effective and eco-friendly process for the synthesis of valuable 11α-hydroxy steroids. Our work establishes the biochemical pathway of DHEA to hydroxylated intermediates with strain ATCC 7159, and distinguishes the optimum conditions for reactor arrangements, substrate concentration, reaction temperature, and pH. Higher substrate conversion, selectivity, and yield of desired product was achieved with “resting cells.” Addition of higher volumes of growing medium relative to reaction buffer increases the reaction rate. When a diluted amount of substrate is used, a higher yield of 11α-hydroxy steroids is achieved. Also, reactions at 26?°C with pH ranges between 6.0 and 7.0 result in the highest conversion (70%) and the higher product yield (45.8%). B. bassiana has the capacity to metabolize DHEA and similar steroids in different reaction schemes, and has a promising future as biocatalyst to be used in the production of drug metabolites.     

Polysaccharide composition of mycelium and cell walls of the fungus <Emphasis Type="Italic">Penicillium roqueforti</Emphasis>

Preliminary data on the polysaccharide composition of mycelium and cell walls of the fungus Penicillium roqueforti grown by the method of submerged cultivation have been obtained. Mild acid hydrolysis of both mycelium and cell walls results in formation of glucose, mannose, and galactose, while the treatment with acid under severe conditions results in formation of glucosamine, a product of chitin hydrolysis, the content of which is 19% in the cell walls. Several polysaccharide fractions were isolated from mycelium by successive extraction with hot water and 1 M NaOH at room temperature; their monosaccharide composition was characterized. The main fraction extracted by alkali, according to the data of NMR spectroscopy, mass spectrometry, and the chemical methods of structural analysis, is a linear α-D-glucopyranan, where the blocks of (1 → 3)-bound glucose residues are linked by single bonds (1 → 4). Water-soluble polysaccharides contain the linear blocks of (1 → 5)-bound residues of β-galactofuranose, most probably attached to the mannan core. The findings are of interest for chemotaxonomy of Penicillium fungi.     

Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting (WRF) model

Early leaf spot of peanut (Arachis hypogaea L.), a disease caused by Cercospora arachidicola S. Hori, is responsible for an annual crop loss of several million dollars in the southeastern United States alone. The development of early leaf spot on peanut and subsequent spread of the spores of C. arachidicola relies on favorable weather conditions. Accurate spatio-temporal weather information is crucial for monitoring the progression of favorable conditions and determining the potential threat of the disease. Therefore, the development of a prediction model for mitigating the risk of early leaf spot in peanut production is important. The specific objective of this study was to demonstrate the application of the high-resolution Weather Research and Forecasting (WRF) model for management of early leaf spot in peanut. We coupled high-resolution weather output of the WRF, i.e. relative humidity and temperature, with the Oklahoma peanut leaf spot advisory model in predicting favorable conditions for early leaf spot infection over Georgia in 2007. Results showed a more favorable infection condition in the southeastern coastline of Georgia where the infection threshold were met sooner compared to the southwestern and central part of Georgia where the disease risk was lower. A newly introduced infection threat index indicates that the leaf spot threat threshold was met sooner at Alma, GA, compared to Tifton and Cordele, GA. The short-term prediction of weather parameters and their use in the management of peanut diseases is a viable and promising technique, which could help growers make accurate management decisions, and lower disease impact through optimum timing of fungicide applications.     

Kinetic analysis of diauxic growth and pectolytic enzyme formation in aspergilli

Kinetic studies on the growth of Aspergillus strains as well as constitutive and inductive polygalacturonase formation have been made in bath fermentations, without pH control. Equations describing growth and product formation of the four-stage growth of microorganisms were applied for the first time to diauxic growth and enzyme formation of Aspergillus strains. Diauxic growth of the cultures has been found in both sucrose- and peetin-containing media. Enzyme concentration in the second transient phase, calculated by the use of new equations, proved to be negligible. In the exponential and declining phases, the calculated values of mycelial and enzyme concentrations were in good agreement with the values observed. Types of classification of the product formation of Luedeking and Piret refer to the second cycle of diauxie. The types of product formation described by Kono and Asai and Luedeking and Piret are mostly in good agreement with each other. The greatest difference has been found in the case of inductive endo-polygalacturonase formation, where the final enzyme formation could not be plotted because of the decrease (autolysis) in mycelial weight.     

A tentative physiological model of batch acetonobutylic fermentation

Summary A mathematical model of batch acetonobutylic fermentation under glucose limitation is proposed. Making use of available information on the physiology of the process this model correctly predicts the two phases of growth and product formation observed at low extracellular pH, with production of butanol and acetone predominating in the final stage and butyrate and acetate production predominating at more neutral pH. A fair agreement between the prediction and experiments performed in different laboratories at different substrate concentrations and pH was achieved. Correspondence to: A. Jarzbski     

Prediction of product formation in 2-keto-l-gulonic acid fermentation through Bayesian combination of multiple neural networks

As the key precursor for l-ascorbic acid synthesis, 2-keto-l-gulonic acid (2-KGA) is widely produced by the mixed culture of Bacillus megaterium and Ketogulonicigenium vulgare. In this study, a Bayesian combination of multiple neural networks is developed to obtain accurate prediction of the product formation. The historical batches are classified into three categories with a batch classification algorithm based on the statistical analysis of the product formation profiles. For each category, an artificial neural network is constructed. The input vector of the neural network consists of a series of time-discretized process variables. The output of the neural network is the predicted product formation. The training database for each neural network is composed of both the input–output data pairs from the historical bathes in the corresponding category, and all the available data pairs collected from the batch of present interest. The prediction of the product formation is practiced through a Bayesian combination of three trained neural networks. Validation was carried out in a Chinese pharmaceutical factory for 140 industrial batches in total, and the average root mean square error (RMSE) is 2.2% and 2.6% for 4 h and 8 h ahead prediction of product formation, respectively.     

Fisher's geometric model predicts the effects of random mutations when tested in the wild

Fisher's geometric model of adaptation (FGM) has been the conceptual foundation for studies investigating the genetic basis of adaptation since the onset of the neo Darwinian synthesis. FGM describes adaptation as the movement of a genotype toward a fitness optimum due to beneficial mutations. To date, one prediction of FGM, the probability of improvement is related to the distance from the optimum, has only been tested in microorganisms under laboratory conditions. There is reason to believe that results might differ under natural conditions where more mutations likely affect fitness, and where environmental variance may obscure the expected pattern. We chemically induced mutations into a set of 19 Arabidopsis thaliana accessions from across the native range of A. thaliana and planted them alongside the premutated founder lines in two habitats in the mid‐Atlantic region of the United States under field conditions. We show that FGM is able to predict the outcome of a set of random induced mutations on fitness in a set of A. thaliana accessions grown in the wild: mutations are more likely to be beneficial in relatively less fit genotypes. This finding suggests that FGM is an accurate approximation of the process of adaptation under more realistic ecological conditions.     

Initial steps of sophoroselipid biosynthesis by Candida bombicola ATCC 22214 grown on glucose

 Candida bombicola ATCC 22214 produces the glycolipid sophoroselipid when cultivated on a medium with glucose as the sole carbon source. Under phosphate-limiting conditions the product yield rises from 0.033 to 0.143 and the specific product formation rate rises from 0.004 h^-1 to 0.007 h^-1. Enhanced sophoroselipid synthesis is initiated by the decline of the specific activities of NAD- and NADP-dependent isocitrate dehydrogenase (EC 1.1.1.41 and 1.1.1.42) to 2% and 0% of the initial activities respectively. Constantly high specific activity of citrate synthase (EC 4.1.3.7) causes an accumulation of isocitrate and citrate in the mitochondria. Both acids are transported into the cytosol where citrate is cleaved by ATP: citrate lyase (EC 4.1.3.8) giving rise to acetyl-CoA, the precursor of fatty acid synthesis. The ATP: citrate lyase is unaffected by different energy charges; the apparent K _m values for coenzyme A, ATP and citrate are 23 μM, 250 μM and 256 μM respectively. NADPH for fatty acid synthesis might be generated by further metabolism of oxaloacetate, the other product of the citrate-cleaving reaction, by oxidation of the isocitrate by the cytosolic NADP-dependent isocitrate dehydrogenase or via the hexose monophosphate shunt. A possible explanation for sophoroselipid formation during exponential growth is given. Received: 7 November 1995/Received revision: 19 March 1996/Accepted: 25 March 1996     

Functional expression in Escherichia coli of the Haemophilus influenzae gene coding for selenocysteine-containing selenophosphate synthetase

The selenophosphate synthetases from several organisms contain a selenocysteine residue in their active site where the Escherichia coli enzyme contains a cysteine. The synthesis of these enzymes, therefore, depends on their own reaction product. To analyse how this self-dependence is correlated with the selenium status, e.g. after recovery from severe selenium starvation, we expressed the gene for the selenocysteine-containing selenophosphate synthetase from Haemophilus influenzae (selD _HI) in an E. coliΔselD strain. Gene selD _HI gave rise to a selenium-containing gene product and also supported – via its activity – the formation of E. coli selenoproteins. The results provide evidence either for the suppression of the UGA_Sec codon with the insertion of an amino acid allowing the formation of a functional product or for a bypass of the selenophosphate requirement. We also show that the selenocysteine synthesis and the insertion systems of the two organisms are fully compatible despite conspicuous differences in the mRNA recognition motif. Received: 8 July 1997 / Accepted: 3 September 1997     

Influence of substrate concentration on the macroenergetic parameters of anaerobic digestion of black-olive wastewater

Summary The macroenergetic parameters of the anaerobic digestion of black-olive wastewater, i.e. the yield coefficient for the biomass (Y. g VSS/g COD) and the specific rate of substrate uptake for cell maintenance (m, g COD/g VSS-day) decreased 6 limes and increased 5 times. respectively, when the influent substrate concentration increased from 1.1 to 4.4 g COD/l. This was significant at 95% confidence level. The use of the Guiot kinetic model allows a more accurate prediction of growth yield to be made as it relates substrate utilization to product formation.