No abstract

High-level production of heterologous proteins is likely to impose a metabolic burden on the host cell and can thus affect various aspects of cellular physiology. A data-driven approach was applied to study the secretory production of a human insulin analog precursor (IAP) in Saccharomyces cerevisiae during prolonged cultivation (80 generations) in glucose-limited aerobic chemostat cultures. Physiological characterization of the recombinant cells involved a comparison with cultures of a congenic reference strain that did not produce IAP, and time-course analysis of both strains aimed at identifying the metabolic adaptation of the cells towards the burden of IAP production. All cultures were examined at high cell density conditions (30 g/L dry weight) to increase the industrial relevance of the results. The burden of heterologous protein production in the recombinant strain was explored by global transcriptome analysis and targeted metabolome analysis, including the analysis of intracellular amino acid pools, glycolytic metabolites, and TCA intermediates. The cellular re-arrangements towards IAP production were categorized in direct responses, for example, enhanced metabolism of amino acids as precursors for the formation of IAP, as well as indirect responses, for example, changes in the central carbon metabolism. As part of the long-term adaptation, a metabolic re-modeling of the IAP-expressing strain was observed, indicating an augmented negative selection pressure on glycolytic overcapacity, and the emergence of mitochondrial dysfunction. The evoked metabolic re-modeling of the cells led to less optimal conditions with respect to the expression and processing of the target protein and thus decreased the cellular expression capacity for the secretory production of IAP during prolonged cultivation.

BackgroundTemperature strongly affects microbial growth, and many microorganisms have to deal with temperature fluctuations in their natural environment. To understand regulation strategies that underlie microbial temperature responses and adaptation, we studied glycolytic pathway kinetics in Saccharomyces cerevisiae during temperature changes.ResultsSaccharomyces cerevisiae was grown under different temperature regimes and glucose availability conditions. These included glucose-excess batch cultures at different temperatures and glucose-limited chemostat cultures, subjected to fast linear temperature shifts and circadian sinoidal temperature cycles. An observed temperature-independent relation between intracellular levels of glycolytic metabolites and residual glucose concentration for all experimental conditions revealed that it is the substrate availability rather than temperature that determines intracellular metabolite profiles. This observation corresponded with predictions generated in silico with a kinetic model of yeast glycolysis, when the catalytic capacities of all glycolytic enzymes were set to share the same normalized temperature dependency.ConclusionsFrom an evolutionary perspective, such similar temperature dependencies allow cells to adapt more rapidly to temperature changes, because they result in minimal perturbations of intracellular metabolite levels, thus circumventing the need for extensive modification of enzyme levels.

This work presents a characterization of the stoichiometry and kinetics of anaerobic batch growth of Saccharomyces cerevisiae at cultivation temperatures between 12 and 30°C. To minimize the influence of the inoculum condition and ensure full adaptation to the cultivation temperature, the experiments were carried out in sequencing batch reactors. It was observed that the growth rate obtained in the first batch performed after each temperature shift was 10-30% different compared with the subsequent batches at the same temperature, which were much more reproducible. This indicates that the sequencing batch approach provides accurate and reproducible growth rate data. Data reconciliation was applied to the measured time patterns of substrate, biomass, carbon dioxide and byproducts with the constraint that the elemental conservation relations were satisfied, allowing to obtain consistent best estimates of all uptake and secretion rates. Subsequently, it was attempted to obtain an appropriate model description of the temperature dependency of these rates. It was found that the Ratkowsky model provided a better description of the temperature dependency of growth, uptake and secretion rates than the Arrhenius law. Most interesting was to find that most of the biomass-specific rates have the same temperature dependency, leading to a near temperature independent batch stoichiometry.