13C-Labeled metabolic flux analysis of a fed-batch culture of elutriated Saccharomyces cerevisiae

This study addresses the question of whether observable changes in fluxes in the primary carbon metabolism of Saccharomyces cerevisiae occur between the different phases of the cell division cycle. To detect such changes by metabolic flux analysis, a 13C-labeling experiment was performed with a fed-batch culture inoculated with a partially synchronized cell population obtained through centrifugal elutriation. Such a culture exhibits dynamic changes in the fractions of cells in different cell cycle phases over time. The mass isotopomer distributions of free intracellular metabolites in central carbon metabolism were measured by liquid chromatography-mass spectrometry. For four time points during the culture, these distributions were used to obtain the best estimates for the metabolic fluxes. The obtained flux fits suggested that the optimally fitted split ratio for the pentose phosphate pathway changed by almost a factor of 2 up and down around a value of 0.27 during the experiment. Statistical analysis revealed that some of the fitted flux distributions for different time points were significantly different from each other, indicating that cell cycle-dependent variations in cytosolic metabolic fluxes indeed occurred.     

Genome-scale analysis of Mannheimia succiniciproducens metabolism

Mannheimia succiniciproducens MBEL55E isolated from bovine rumen is a capnophilic gram-negative bacterium that efficiently produces succinic acid, an industrially important four carbon dicarboxylic acid. In order to design a metabolically engineered strain which is capable of producing succinic acid with high yield and productivity, it is essential to optimize the whole metabolism at the systems level. Consequently, in silico modeling and simulation of the genome-scale metabolic network was employed for genome-scale analysis and efficient design of metabolic engineering experiments. The genome-scale metabolic network of M. succiniciproducens consisting of 686 reactions and 519 metabolites was constructed based on reannotation and validation experiments. With the reconstructed model, the network structure and key metabolic characteristics allowing highly efficient production of succinic acid were deciphered; these include strong PEP carboxylation, branched TCA cycle, relative weak pyruvate formation, the lack of glyoxylate shunt, and non-PTS for glucose uptake. Constraints-based flux analyses were then carried out under various environmental and genetic conditions to validate the genome-scale metabolic model and to decipher the altered metabolic characteristics. Predictions based on constraints-based flux analysis were mostly in excellent agreement with the experimental data. In silico knockout studies allowed prediction of new metabolic engineering strategies for the enhanced production of succinic acid. This genome-scale in silico model can serve as a platform for the systematic prediction of physiological responses of M. succiniciproducens to various environmental and genetic perturbations and consequently for designing rational strategies for strain improvement.     

Fed-batch culture of Escherichia coli for L-valine production based on in silico flux response analysis

We have previously reported the development of a 100% genetically defined engineered Escherichia coli strain capable of producing L ‐valine from glucose with a high yield of 0.38 g L ‐valine per gram glucose (0.58 mol L ‐valine per mol glucose) by batch culture. Here we report a systems biological strategy of employing flux response analysis in bioprocess development using L ‐valine production by fed‐batch culture as an example. Through the systems‐level analysis, the source of ATP was found to be important for efficient L ‐valine production. There existed a trade‐off between L ‐valine production and biomass formation, which was optimized for the most efficient L ‐valine production. Furthermore, acetic acid feeding strategy was optimized based on flux response analysis. The final fed‐batch cultivation strategy allowed production of 32.3 g/L L ‐valine, the highest concentration reported for E. coli. This approach of employing systems‐level analysis of metabolic fluxes in developing fed‐batch cultivation strategy would also be applicable in developing strategies for the efficient production of other bioproducts. Biotechnol. Bioeng. 2011; 108:934–946. © 2010 Wiley Periodicals, Inc.     

Ethanol production from nonsterilized carob pod extract by free and immobilized Saccharomyces cerevisiae cells using fed-batch culture

The production of ethanol from carob pod extract by free and immobilized Saccharomyces cerevisiae cells in batch and fed-batch culture was investigated. Fed-batch culture proved to be a better fermentation system for the production of ethanol than batch culture. In fed-batch culture, both free and immobilized S. cerevisiae cells gave the same maximum concentration (62 g/L) of final ethanol at an initial sugar concentration of 300 g/L and F = 167 mL/h. The maximum ethanol productivity (4.4 g/L h) was obtained with both free and immobilized cells at a substrate concentration of 300 g/L and F = 334 mL/h. In repeated fed-batch culture, immobilized S. cerevisiae cells gave a higher overall ethanol concentration compared with the free cells. The immobilized S. cerevisiae cells in Ca-alginate beads retained their ability to produce ethanol for 10 days. (c) 1994 John Wiley & Sons, Inc.     

酿酒酵母代谢工程技术

自20世纪90年代初期诞生以来,代谢工程历经了30年的快速发展。作为代谢工程的首选底盘细胞之一,酿酒酵母细胞工厂已被广泛应用于大量大宗化学品和新型高附加值生物活性物质的生物制造,在能源、医药和环境等领域取得了巨大的突破。近年来,合成生物学、生物信息学以及机器学习等相关技术也极大地促进了代谢工程的技术发展和应用。文中回顾了近30年来酿酒酵母代谢工程重要的技术发展,首先总结了经典代谢工程的常用方法和策略,以及在此基础上发展而来的系统代谢工程和合成生物学驱动的代谢工程技术。最后结合最新技术发展趋势,展望了未来酿酒酵母代谢工程发展的新方向。     

Genome-scale model for Clostridium acetobutylicum: Part I. Metabolic network resolution and analysis

A genome-scale metabolic network reconstruction for Clostridium acetobutylicum (ATCC 824) was carried out using a new semi-automated reverse engineering algorithm. The network consists of 422 intracellular metabolites involved in 552 reactions and includes 80 membrane transport reactions. The metabolic network illustrates the reliance of clostridia on the urea cycle, intracellular L-glutamate solute pools, and the acetylornithine transaminase for amino acid biosynthesis from the 2-oxoglutarate precursor. The semi-automated reverse engineering algorithm identified discrepancies in reaction network databases that are major obstacles for fully automated network-building algorithms. The proposed semi-automated approach allowed for the conservation of unique clostridial metabolic pathways, such as an incomplete TCA cycle. A thermodynamic analysis was used to determine the physiological conditions under which proposed pathways (e.g., reverse partial TCA cycle and reverse arginine biosynthesis pathway) are feasible. The reconstructed metabolic network was used to create a genome-scale model that correctly characterized the butyrate kinase knock-out and the asolventogenic M5 pSOL1 megaplasmid degenerate strains. Systematic gene knock-out simulations were performed to identify a set of genes encoding clostridial enzymes essential for growth in silico.     

Genome-scale modeling and in silico analysis of ethanologenic bacteria Zymomonas mobilis

Bioethanol has been recognized as a potential alternative energy source. Among various ethanol-producing microbes, Zymomonas mobilis has acquired special attention due to its higher ethanol yield and tolerance. However, cellular metabolism in Z. mobilis remains unclear, hindering its practical application for bioethanol production. To elucidate such physiological characteristics, we reconstructed and validated a genome-scale metabolic network (iZM363) of Z. mobilis ATCC31821 (ZM4) based on its annotated genome and biochemical information. The phenotypic behaviors and metabolic states predicted by our genome-scale model were highly consistent with the experimental observations of Z. mobilis ZM4 strain growing on glucose as well as NMR-measured intracellular fluxes of an engineered strain utilizing glucose, fructose, and xylose. Subsequent comparative analysis with Escherichia coli and Saccharomyces cerevisiae as well as gene essentiality and flux coupling analyses have also confirmed the functional role of pdc and adh genes in the ethanologenic activity of Z. mobilis, thus leading to better understanding of this natural ethanol producer. In future, the current model could be employed to identify potential cell engineering targets, thereby enhancing the productivity of ethanol in Z. mobilis.     

酿酒酵母转化木糖生产化学品的研究进展

木糖的有效利用是木质纤维素生产生物燃料或化学品经济性转化的基础.30年来,通过理性代谢改造和适应性进化等工程策略,显著提高了传统乙醇发酵微生物——酿酒酵母Saccharomyces cerevisiae的木糖代谢能力.因此,近年来在酿酒酵母中利用木糖生产化学品的研究逐步展开.研究发现,酿酒酵母分别以木糖和葡萄糖为碳源时...     

Xylose assimilation enhances the production of isobutanol in engineered Saccharomyces cerevisiae

Bioconversion of xylose—the second most abundant sugar in nature—into high-value fuels and chemicals by engineered Saccharomyces cerevisiae has been a long-term goal of the metabolic engineering community. Although most efforts have heavily focused on the production of ethanol by engineered S. cerevisiae, yields and productivities of ethanol produced from xylose have remained inferior as compared with ethanol produced from glucose. However, this entrenched focus on ethanol has concealed the fact that many aspects of xylose metabolism favor the production of nonethanol products. Through reduced overall metabolic flux, a more respiratory nature of consumption, and evading glucose signaling pathways, the bioconversion of xylose can be more amenable to redirecting flux away from ethanol towards the desired target product. In this report, we show that coupling xylose consumption via the oxidoreductive pathway with a mitochondrially-targeted isobutanol biosynthesis pathway leads to enhanced product yields and titers as compared to cultures utilizing glucose or galactose as a carbon source. Through the optimization of culture conditions, we achieve 2.6 g/L of isobutanol in the fed-batch flask and bioreactor fermentations. These results suggest that there may be synergistic benefits of coupling xylose assimilation with the production of nonethanol value-added products.     

Combined in silico modeling and metabolomics analysis to characterize fed-batch CHO cell culture

The increasing demand for recombinant therapeutic proteins highlights the need to constantly improve the efficiency and yield of these biopharmaceutical products from mammalian cells, which is fully achievable only through proper understanding of cellular functioning. Towards this end, the current study exploited a combined metabolomics and in silico modeling approach to gain a deeper insight into the cellular mechanisms of Chinese hamster ovary (CHO) fed-batch cultures. Initially, extracellular and intracellular metabolite profiling analysis shortlisted key metabolites associated with cell growth limitation within the energy, glutathione, and glycerophospholipid pathways that have distinct changes at the exponential-stationary transition phase of the cultures. In addition, biomass compositional analysis newly revealed different amino acid content in the CHO cells from other mammalian cells, indicating the significance of accurate protein composition data in metabolite balancing across required nutrient assimilation, metabolic utilization, and cell growth. Subsequent in silico modeling of CHO cells characterized internal metabolic behaviors attaining physiological changes during growth and non-growth phases, thereby allowing us to explore relevant pathways to growth limitation and identify major growth-limiting factors including the oxidative stress and depletion of lipid metabolites. Such key information on growth-related mechanisms derived from the current approach can potentially guide the development of new strategies to enhance CHO culture performance.     

Oscillatory metabolism of Saccharomyces cerevisiae in continuous culture

Short-period (40-50 min) synchronized metabolic oscillation was found in a continuous culture of yeast Saccharomyces cerevisiae under aerobic conditions at low-dilution rates. During oscillation, many parameters changed cyclically, such as dissolved oxygen concentration, respiration rate, ethanol and acetate concentrations in the culture, glycogen, ATP, NADH, pyruvate and acetate concentrations in the cells. These changes were considered to be associated with glycogen metabolism. When glycogen was degraded, the respiro-fermentative phase was observed, in which ethanol was produced and the respiration rate decreased. In this phase, the levels of intracellular pyruvate and acetate became minimum, ATP became high and intracellular pH at its lowest level. When glycogen metabolism changed from degradation to accumulation, the respiratory phase started, during which ethanol was re-assimilated from the culture and the respiration rate increased. Intracellular pyruvate and acetate became maximum, ATP decreased and the intracellular pH appeared high. These findings may indicate new aspects of the control mechanism of glycogen metabolism and how respiration and ethanol fermentation are regulated together under aerobic conditions.     

Dynamic flux responses in riboflavin overproducing Bacillus subtilis to increasing glucose limitation in fed‐batch culture

How do intracellular fluxes respond to dynamically increasing glucose limitation when the physiology changes from strong overflow metabolism near to exclusively maintenance metabolism? Here we investigate this question in a typical industrial, glucose‐limited fed‐batch cultivation with a riboflavin overproducing Bacillus subtilis strain. To resolve dynamic flux changes, a novel approach to ¹³C flux analysis was developed that is based on recording ¹³C labeling patterns in free intracellular amino acids. Fluxes are then estimated with stationary flux ratio and iterative isotopomer balancing methods, for which a decomposition of the process into quasi‐steady states and estimation of isotopic steady state ¹³C labeling patterns was necessary. By this approach, we achieve a temporal resolution of 30–60 min that allows us to resolve the slow metabolic transients that typically occur in such cultivations. In the late process phase we found, most prominently, almost exclusive respiratory metabolism, significantly increased pentose phosphate pathway contribution and a strongly decreased futile cycle through the PEP carboxykinase. As a consequence, higher catabolic NADPH formation occurred than was necessary to satisfy the anabolic demands, suggesting a transhydrogenase‐like mechanism to close the balance of reducing equivalents. Biotechnol. Bioeng. 2010. 105: 795–804. © 2009 Wiley Periodicals, Inc.     

Fermentation kinetics of recombinant yeast in batch and fed-batch cultures

Fed-batch cultures of recombinant microorganisms have attracted attention as they can separate cell growth stage from cloned-gene expression phase during fermentations. In this work, the effect of different glucose feeding strategies on cell growth and cloned gene expression was studied during aerobic fed-batch fermentations of recombinant yeast, containing the plasmid pRB58. The plasmid contains the yeast SUC2 gene, which codes for the enzyme invertase. Some feeding policies resulted in a constant glucose concentration inside the fermentor, while others deliberately introduced a cyclic variation. The cell mass yield was found to be higher at low glucose concentrations, thus indicating a shift to the more energy-efficient respiratory pathway. The SUC2 gene expression was derepressed at glucose levels below 2 g/L. The response of specific invertase activity to changes in the medium glucose concentration was found to be almost immediate.     

Stability studies of recombinant Saccharomyces cerevisiae in the presence of varying selection pressure

A recombinant yeast plasmid carrying the Ieu2 gene for auxotrophic complementation and a reporter gene for beta-galactosidase under the control of Gal10 promoter was studied in Saccharomyces cerevisiae. Growth, product formation, and plasmid stability were studied in defined, semi-defined, and complex media. The biomass concentration and specific activity were higher in complex medium than in defined medium, which was selective for the growth of plasmid-containing cells, leading to a 10-fold increase in volumetric activity. However, plasmid instability was very high in complex media with 50% plasmid-free cells emerging in the culture within 75 h of cultivation. In order to control instability, the growth rates of the plasmid-containing and plasmid-free cells were determined in semi-defined media, which consisted of defined medium supplemented with different concentrations of yeast extract. Below a critical concentration of yeast extract (0.05 g/L), the plasmid-containing cells had a growth rate advantage over the plasmid-free cells. This was possibly because, at this concentration of yeast extract, the availability of leucine became the rate-determining factor in the specific growth rate of plasmid-free cells. A feeding strategy was designed which maintained a low concentration of the residual yeast extract in the medium and thus continuously provided the plasmid-containing cells with a competitive advantage over the plasmid-free cells. This resulted in high stability as well as high cell density under non-selective conditions, which led to a 10-fold increase in the volumetric activity compared to that achieved in defined selective media. A simple mathematical model was formulated to verify the experimental data. The important state variables and process parameters, i.e., biomass concentration, beta-galactosidase expression, sucrose consumption, yeast extract consumption, and specific growth rates of the two cell populations, were evaluated. These variables and parameters along with the differential equations based on material balances as well as the experimental results obtained were used in a mathematical model for the fed-batch cultivation. These correctly verified the experimental data and clearly illustrated the concept behind the success of the fed-batch strategy under yeast extract starvation.     

In vivo dynamics of galactose metabolism in Saccharomyces cerevisiae: metabolic fluxes and metabolite levels

The dynamics of galactose metabolism in Saccharomyces cerevisiae was studied by analyzing the metabolic response of the CEN.PK 113-7D wild-type strain when exposed to a galactose pulse during aerobic growth in a galactose-limited steady-state cultivation at a dilution rate of 0.097 h(-1). A fast sampling technique and subsequent methanol-chloroform/solid phase extractions were applied for in vivo measurements of the dynamic changes of the AMP, ADP, ATP levels and the sugar phosphates of the Leloir pathway. The ATP level was found to be significantly lower for yeast growing under galactose limitation (0.37 +/- 0.05 micromol/g CDW) than what has been reported for growth under glucose limitation. The galactose pulse of 5.58 mM was consumed within 40 min (t = 40) and 7 min after the pulse was added cell growth stopped. Subsequently, the cells started to grow and at t = 30 the specific growth rate had recovered to half the steady-state growth rate (0.047 h(-1)). To evaluate the change in flux distribution at steady state and during the galactose transient, a stoichiometric model describing the aerobic metabolism of S. cerevisiae was set up for quantification of the metabolic fluxes. At t = 7 the flux entering the TCA cycle was low and acetate and ethanol started to be excreted to the extracellular medium. During recovery of cell growth the flux entering the TCA cycle increased again, and at t = 30 this flux exceeded the corresponding steady-state flux. During the pulse an enhanced level of Gal-1P was measured, which may be responsible for a toxic metabolic response in S. cerevisiae. The increase in the Gal-1P concentration is intensified by the low affinity of Gal7 towards Gal-1P and, hence, under the physiological conditions examined Gal7 seems to exert control over flux through the Leloir pathway.     

代谢工程改造酿酒酵母合成葡萄糖二酸

葡萄糖二酸是一种高附加值的有机酸,广泛用于食品、医药和化工领域。为获得生产葡萄糖二酸的微生物细胞工厂,通过共表达小鼠来源的肌醇加氧酶(MIOX)及恶臭假单胞菌来源的醛酸脱氢酶(Udh),在酿酒酵母Saccharomyces cerevisiae CEN.PK2-1C中构建了葡萄糖二酸合成途径,产量为(28.28±3.15)mg/L。在此基础上,通过调控前体肌醇的合成途径,发现肌醇-1-磷酸合成酶(INO1)是葡萄糖二酸合成途径的限速酶,过量表达INO1,葡萄糖二酸产量达到(107.51±10.87)mg/L,提高了2.8倍。进一步弱化竞争支路中磷酸果糖激酶(PFK1)的表达,最终葡萄糖二酸的产量达到(230.22±10.75)mg/L,为进一步获得高产葡萄糖二酸细胞工厂提供基础。