Cellular and metabolic engineering. An overview

Developments in metabolic engineering

The complete sequencing of several microbial genomes has resulted in the increased availability of genes for metabolic engineering. The number of databases and computational tools to deal with this information has also increased. This development has stimulated, and will continue to stimulate, advances in metabolic engineering. Specific recent advances include improvement of pathways for aromatic metabolites, the development of a more complete understanding of the effect of bacterial hemoglobin on cell performance, the development of NMR-based methods for the monitoring of intracellular metabolites and metabolic flux, and the application of metabolic control analysis and metabolic flux analysis to a variety of systems.

Metabolic control analysis of biochemical pathways based on a thermokinetic description of reaction rates

Metabolic control analysis is a powerful technique for the evaluation of flux control within biochemical pathways. Its foundation is the elasticity coefficients and the flux control coefficients (FCCs). On the basis of a thermokinetic description of reaction rates it is here shown that the elasticity coefficients can be calculated directly from the pool levels of metabolites at steady state. The only requirement is that one thermodynamic parameter be known, namely the reaction affinity at the intercept of the tangent in the inflection point of the curve of reaction rate against reaction affinity. This parameter can often be determined from experiments in vitro. The methodology is applicable only to the analysis of simple two-step pathways, but in many cases larger pathways can be lumped into two overall conversions. In cases where this cannot be done it is necessary to apply an extension of the thermokinetic description of reaction rates to include the influence of effectors. Here the reaction rate is written as a linear function of the logarithm of the metabolite concentrations. With this type of rate function it is shown that the approach of Delgado and Liao [Biochem. J. (1992) 282, 919-927] can be much more widely applied, although it was originally based on linearized kinetics. The methodology of determining elasticity coefficients directly from pool levels is illustrated with an analysis of the first two steps of the biosynthetic pathway of penicillin. The results compare well with previous findings based on a kinetic analysis.

Metabolic engineering of cephalosporin biosynthesis in Streptomyces clavuligerus

The biosynthesis of beta-lactams is one of the most thoroughly studied antibiotic pathways. The availability of the characteristics and the time profiles of activities of enzymes involved in the biosynthesis allows one to critically evaluate the potential rate-limiting steps in its production. Our approach to understanding the control of beta-lactam biosynthesis has been pursued using a two-stage strategy: (1) to predict the rate-limiting steps using a kinetic model and (2) to relax the rate-limiting steps by engineering the biosynthetic pathway or by altering the kinetic parameters of the predicted key rate-limiting enzyme. Kinetic analysis of the pathway dynamics of cephamycin C production in Streptomyces clavuligerus was performed using data obtained from wild type. Sensitivity analysis revealed that the availability of precursor alpha-aminoadipic acid and activity of ACV synthetase were the potential rate-limiting steps. Relaxation of the precursor limitation was accomplished by integration of an additional copy of the gene encoding lysine-epsilon-aminotransferase (lat) into the chromosome. The recombinant strain showed an increased level of cephamycin C production as expected. The intracellular levels of different intermediates in the pathway in batch cultures were analyzed.

On the analysis of the inverse problem of metabolic pathways using artificial neural networks

Here we develop the use of artificial neural networks for solving the inverse metabolic problem, in other words, given a set of steady-state metabolite levels and fluxes in a pathway of known structure to obtain the parameters of the system, in this case the enzymatic limiting rate and Michaelis constants. This requires two main procedures: first the development of a computer program with which one can model metabolism in the forward direction (i.e. given the internal and parameters to determine the steady-state fluxes and metabolite concentrations), and second, given arrays of associated parameters and variables thereby obtained, to exploit artificial neural networks to form a model capable of obtaining the parameters from the variables. We studied 2-step pathways exhibiting first-order kinetics, 2-step pathways exhibiting reversible Michaelis-Menten kinetics and then 3-step pathways (again exhibiting reversible Michaelis-Menten kinetics), modelled using the program Gepasi. Whilst it was fairly easy for the networks to learn most of the parameters in the 2-step pathway, it was found helpful for the Michaelis-Menten case to vary the concentration of the starting pathway substrate for each set of internal parameters, and to train separate networks for each parameter. Some parameters were much easier to learn than others, reverse K(m) and V(max) values normally being the most difficult. For the 3-step pathway learning sometimes required as much as 3 days, and occasionally convergence was not obtained. Overall, neural networks of the present type, with fully interconnected feedforward architectures and trained according to the backpropagation algorithm, scaled poorly as the problem size was increased.

Integrated access to metabolic and genomic data

The EcoCyc system consists of a knowledge base (KB) that describes the genes and intermediary metabolism of Escherichia coli, and a graphical user interface (GUI) for accessing that knowledge. This paper addresses two problems: How can we create a GUI that provides integrated access to metabolic and genomic data? We describe the design and implementation of visual presentations that closely mimic those found in the biology literature, and that offer hypertext navigation among related entities, and multiple views of the same entity. We employ a frame knowledge representation system (FRS) called HyperTHEO to manage the EcoCyc knowledge base. Among the advantages of FRSs are an expressive data model for capturing the complexities of biological information, and schema-evolution capabilities that facilitate the constant schema changes that biological databases tend to undergo. HyperTHEO also includes rule-based inference facilities that are the foundation of expert systems, a constraint language for maintaining data integrity, and a declarative query language. A graphic KB editor and browser allow the EcoCyc developers to interactively inspect and modify this evolving KB.

Metabolic Engineering of a Pentose Metabolism Pathway in Ethanologenic Zymomonas mobilis

The ethanol-producing bacterium Zymomonas mobilis was metabolically engineered to broaden its range of fermentable substrates to include the pentose sugar xylose. Two operons encoding xylose assimilation and pentose phosphate pathway enzymes were constructed and transformed into Z. mobilis in order to generate a strain that grew on xylose and efficiently fermented it to ethanol. Thus, anaerobic fermentation of a pentose sugar to ethanol was achieved through a combination of the pentose phosphate and Entner-Doudoroff pathways. Furthermore, this strain efficiently fermented both glucose and xylose, which is essential for economical conversion of lignocellulosic biomass to ethanol.

The future of MEBC: panel discussion

The expected developments in the not too distant future (5-10 years) of molecular electronics and biocomputing (MEBC) are discussed. In the short-term, the study of very specific basic phenomena is expected (e.g. conducting polymers, strange electronic states of insulating polymers, bacteriorhodopsin (BR), arrays of molecules, self-organization of biomaterials, very specific biological systems, quantum coherence in cytoskeletal microtubules, optoelectronic information storage, associative memories, pattern recognition, hierarchical nature of biological information). New application fields outside the range of conventional technology (e.g. randomized algorithms, optoelectronic devices, chemical and biosensors, as well as a certain extent of commercialisation) have also been predicted. In the long-term, the study and solution of much deeper (sometimes scientific fiction-like) problems were foreseen, such as the self-organization of biomaterials, artificial self-reproduction, implementation of artificial cell dynamic control structures based on molecular devices for medical and environmental applications and the construction of neuronal computers as aids to the human brain.

Alteration of the biochemical valves in the central metabolism of Escherichia coli

Although E. coli central metabolism has been studied for several decades, many regulatory features are still unknown. To achieve the goal of rational manipulation of cellular metabolism, it is important to understand how E. coli responds to overexpressed enzymes. By studying the biochemical control of fluxes between PEP, pyruvate, and OAA, we have addressed some fundamental questions that may prove to be essential for applications in metabolic engineering. First, we found that simultaneous overexpression of Pck and Ppc, or Pps alone in the presence of glucose leads to phenotypes consistent with futile cycline. In contrast to our expectation, futile cycling per se does not affect the growth rate significantly. However, excessive futile cycling may cause competitive disadvantage in the natural environment. Overexpression of Pck caused growth inhibition but no futile cycling. Therefore, E. coli controls the expression of gluconeogenic enzymes not only to avoid excessive futile cycling, but also to prevent toxicity effects. In metabolic engineering, futile cycling may be used as a strategy to stimulate metabolism for either production of metabolites or digestion of toxic wastes. Second, we found that the expression levels of Pps and Pck in E. coli are not optimal for growth on pyruvate and succinate, respectively. Overexpression of these enzymes increases the growth rate on pyruvate and on succinate, respectively, indicating that the slow growth rates on these substrates are at least partially caused by the insufficient supply of PEP and its derivatives. Moreover, E. coli also has not optimized the Ppc level for optimal growth yield on glucose in uncontrolled batch cultures. These results demonstrate that the central metabolism is not optimized for growth under defined laboratory conditions. Thus, the possibility exists that adjustment of native enzyme levels in the central metabolism can improve bioreactor performance. Third, we found that overexpression of Pck affects the transcriptional levels of unrelated genes. This example indicates that physiological responses to enzyme (over)expression should be interpreted cautiously, as changing the expression level of a specific enzyme may affect many unlinked genes. Similar results have also been obtained by use of two-dimensional electrophoresis of proteins from E. coli. Although more questions remain to be answered, fast progress in the area of metabolic engineering can be expected in the near future.

Engineering of Escherichia coli central metabolism for aromatic metabolite production with near theoretical yield

Escherichia coli and many other microorganisms synthesize aromatic amino acids through the condensation reaction between phosphoenolpyruvate (PEP) and erythrose 4-phosphate to form 3-deoxy-D-arabinoheptulosonate 7-phosphate (DAHP). It has been shown that overexpression of transketolase increases the production of DAHP in an aroB mutant strain (unable to further metabolize DAHP) with elevated DAHP synthase. However, the yield (percent conversion) of DAHP from glucose is still low. Stoichiometric analysis shows that many enzymes compete for intracellular PEP. In particular, the phosphotransferase system, responsible for glucose transport in E. coli, uses PEP as a phosphate donor and converts it to pyruvate, which is less likely to recycle back to PEP. This stoichiometric limitation greatly reduces the yield of aromatic metabolites. To relieve this limitation, we overexpressed PEP synthase in the presence of glucose and showed that it increased the final concentration and the yield of DAHP by almost twofold, to a near theoretical maximum. The PEP synthase effect is not observed without overproduced transketolase, suggesting that erythrose 4-phosphate is the first limiting metabolite. This result demonstrates the utility of pathway analysis and the limitation of central metabolites in the high-level overproduction of desired metabolites.

Genetically engineering mammalian cell lines for increased viability and productivity

The generation of new host cell lines for the production of foreign proteins can be achieved by cell engineering. This approach can be used to enhance the cell's ability to produce proteins that are properly processed and secreted at elevated levels and consequently can increase the overall productivity of an expression system. One potential target for cell engineering is the modification of the cell's protein folding capacity. The appropriate folding, assembly, localization and secretion of newly synthesized proteins is dependent upon the action of a group of proteins known as molecular chaperones. Improving the host cell's chaperoning capacity might increase the yield of properly folded recombinant proteins by preventing the formation of insoluble aggregates. Another potentially beneficial cell engineering goal is the inhibition of physiological cell death. The productivity of genetically engineered cells is dependent upon the maintenance of high levels of cell viability throughout the bioprocess period. Fluctuations in a cell's environment can trigger a deliberate form of cell death known as apoptosis. The proteins that mediate this self-destruction are currently being characterized. Regulating the expression of these death genes by cellular engineering could limit the loss of productivity that results from the physiological death of the recombinant cell line.

Metabolic engineering--methodologies and future prospects

Attempts to improve the productivity of cellular systems or to increase metabolite yield often require radical alteration of the flux through primary metabolic pathways. However, achieving the desired result often proves difficult because the control architectures at key branch points have evolved to resist flux changes. Identification and characterization of these metabolic nodes is a prerequisite to rational metabolic engineering.