S. cerevisiae × S. eubayanus interspecific hybrid, the best of both worlds and beyond.

Saccharomyces pastorianus lager-brewing yeasts have descended from natural hybrids of S. cerevisiae and S. eubayanus. Their alloploidy has undoubtedly contributed to successful domestication and industrial exploitation. To understand the early events that have led to the predominance of S. pastorianus as lager-brewing yeast, an interspecific hybrid between S. cerevisiae and S. eubayanus was experimentally constructed. Alloploidy substantially improved the performance of the S. cerevisiae × S. eubayanus hybrid as compared to either parent regarding two cardinal features of brewing yeasts: tolerance to low temperature and oligosaccharide utilization. The hybrid's S. eubayanus subgenome conferred better growth rates and biomass yields at low temperature, both on glucose and on maltose. Conversely, the ability of the hybrid to consume maltotriose, which was absent in the S. eubayanus CBS12357 type strain, was inherited from its S. cerevisiae parent. The S. cerevisiae × S. eubayanus hybrid even outperformed its parents, a phenomenon known as transgression, suggesting that fast growth at low temperature and oligosaccharide utilization may have been key selective advantages of the natural hybrids in brewing environments. To enable sequence comparisons of the parental and hybrid strains, the genome of S. eubayanus CBS12357 type strain (Patagonian isolate) was resequenced, resulting in an improved publicly available sequence assembly.

Physiological and transcriptional responses of anaerobic chemostat cultures of Saccharomyces cerevisiae subjected to diurnal temperature cycles.

Diurnal temperature cycling is an intrinsic characteristic of many exposed microbial ecosystems. However, its influence on yeast physiology and the yeast transcriptome has not been studied in detail. In this study, 24-h sinusoidal temperature cycles, oscillating between 12°C and 30°C, were imposed on anaerobic, glucose-limited chemostat cultures of Saccharomyces cerevisiae. After three diurnal temperature cycles (DTC), concentrations of glucose and extracellular metabolites as well as CO2 production rates showed regular, reproducible circadian rhythms. DTC also led to waves of transcriptional activation and repression, which involved one-sixth of the yeast genome. A substantial fraction of these DTC-responsive genes appeared to respond primarily to changes in the glucose concentration. Elimination of known glucose-responsive genes revealed an overrepresentation of previously identified temperature-responsive genes as well as genes involved in the cell cycle and de novo purine biosynthesis. In-depth analysis demonstrated that DTC led to a partial synchronization of the cell cycle of the yeast populations in chemostat cultures, which was lost upon release from DTC. Comparison of DTC results with data from steady-state cultures showed that the 24-h DTC was sufficiently slow to allow S. cerevisiae chemostat cultures to acclimate their transcriptome and physiology at the DTC temperature maximum and to approach acclimation at the DTC temperature minimum. Furthermore, this comparison and literature data on growth rate-dependent cell cycle phase distribution indicated that cell cycle synchronization was most likely an effect of imposed fluctuations of the relative growth rate (µ/µmax) rather than a direct effect of temperature.

Long-term adaptation of Saccharomyces cerevisiae to the burden of recombinant insulin production.

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.

Similar temperature dependencies of glycolytic enzymes: an evolutionary adaptation to temperature dynamics?

BACKGROUND: Temperature 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. RESULTS: Saccharomyces 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. CONCLUSIONS: From 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.

Metabolic modeling of mixed substrate uptake for polyhydroxyalkanoate (PHA) production.

Polyhydroxyalkanoate (PHA) production by mixed microbial communities can be established in a two-stage process, consisting of a microbial enrichment step and a PHA accumulation step. In this study, a mathematical model was constructed for evaluating the influence of the carbon substrate composition on both steps of the PHA production process. Experiments were conducted with acetate, propionate, and acetate propionate mixtures. Microbial community analysis demonstrated that despite the changes in substrate composition the dominant microorganism was Plasticicumulans acidivorans in all experiments. A metabolic network model was established to investigate the processes observed. The model based analysis indicated that adaptation of the acetate and propionate uptake rate as a function of acetate and propionate concentrations in the substrate during cultivation occurred. The monomer composition of the PHA produced was found to be directly related to the composition of the substrate. Propionate induced mainly polyhydroxyvalerate (PHV) production whereas only polyhydroxybutyrate (PHB) was produced on acetate. Accumulation experiments with acetate-propionate mixtures yielded PHB/PHV mixtures in ratios directly related to the acetate and propionate uptake rate. The model developed can be used as a useful tool to predict the PHA composition as a function of the substrate composition for acetate-propionate mixtures.