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Sagit Shalel Levanon

Publications and source records attributed to Sagit Shalel Levanon.

3 recordsLinked to original sources

Development of a metabolic network design and optimization framework incorporating implementation constraints: a succinate production case study.

We have developed a pathway design and optimization scheme that accommodates genetically and/or environmentally derived operational constraints. We express the full set of theoretically optimal pathways in terms of the underlying elementary flux modes and then examine the sensitivity of the optimal yield to a wide class of physiological perturbations. Though the scheme is general it is best appreciated in a concrete context: we here take succinate production as our model system. The scheme produces novel pathway designs and leads to the construction of optimal succinate production pathway networks. The model predictions compare very favorably with experimental observations.

Computer Simulation↗

Genetically constrained metabolic flux analysis.

Significant progress has been made in using existing metabolic databases to estimate metabolic fluxes. Traditional metabolic flux analysis generally starts with a predetermined metabolic network. This approach has been employed successfully to analyze the behaviors of recombinant strains by manually adding or removing the corresponding pathway(s) in the metabolic map. The current work focuses on the development of a new framework that utilizes genomic and metabolic databases, including available genetic/regulatory network structures and gene chip expression data, to constrain metabolic flux analysis. The genetic network consisting of the sensing/regulatory circuits will activate or deactivate a specific set of genes in response to external stimulus. The activation and/or repression of this set of genes will result in different gene expression levels that will in turn change the structure of the metabolic map. Hence, the metabolic map will automatically "adapt" to the external stimulus as captured by the genetic network. This adaptation selects a subnetwork from the pool of feasible reactions and so performs what we term "environmentally driven dimensional reduction." The Escherichia coli oxygen and redox sensing/regulatory system, which controls the metabolic patterns connected to glycolysis and the TCA cycle, was used as a model system to illustrate the proposed approach.

Citric Acid Cycle↗

Effect of oxygen on the Escherichia coli ArcA and FNR regulation systems and metabolic responses.

Escherichia coli has several elaborate sensing mechanisms for response to the availability of oxygen and the presence of other electron acceptors. The adaptive responses are coordinated by a group of global regulators, which include the one-component Fnr protein, and the two-component Arc system. To quantitate the contribution of Arc and Fnr-dependent regulation in catabolism, arcA and fnr mutant strains were constructed using the recently developed lambda derived recombination system. The metabolic activity of wildtype E. coli, an arcA mutant, an fnr mutant, and a double arcA-fnr mutant, via the fermentative pathways in glucose-limited cultures and different oxygen concentrations was studied in chemostat cultures at steady state. It was found that the most significant role of ArcA is under microaerobic conditions, while that of FNR is under more strictly anaerobic conditions. The FNR protein is normally inactive during microaerobic conditions. However, our results indicate that in the arcA mutant strain the cells behave as if a higher level of the FNR regulator is in the activated form compared to the wildtype strain during the transition from aerobic to microanaerobic growth. The results show a significant increase in the flux through pyruvate formate lyase (PFL) in the presence of oxygen. The activity of FNR-regulated pathways in the arcA mutant strain is correlated with the high redox potential obtained under microaerobic growth.

Anaerobiosis↗