Activation of the HOG pathway upon cold stress in Saccharomyces cerevisiae

When Saccharomyces cerevisiae cells are exposed to hyper-osmotic stress, the high-osmolarity glycerol response (HOG) pathway is activated to induce osmotic responses. The HOG pathway consists of two upstream osmosensing branches, the SLN1 and SHO1 branches, and a downstream MAP kinase cascade. Although the mechanisms by which these upstream branches transmit signals to the MAP kinase cascade are well understood, the mechanisms by which they sense and respond to osmotic changes are elusive. Here we show that the HOG pathway is activated in an SLN1 branch-dependent manner when cells are exposed to cold stress (0 degrees C treatment). Dimethyl sulfoxide (DMSO) treatment, which rigidifies the cell membrane, also activates the HOG pathway in both SLN1 branch- and SHO1 branch-dependent manners. Moreover, cold stress, as well as hyper-osmotic stress, exhibits a synergistic effect with DMSO treatment on HOG pathway activation. On the other hand, ethanol treatment, which fluidizes the cell membrane, partially represses the cold stress-induced HOG pathway activation. Our results suggest that both osmosensing branches respond to the rigidification of the cell membrane to activate the HOG pathway.     

Biophysical properties of Saccharomyces cerevisiae and their relationship with HOG pathway activation

Parameterized models of biophysical and mechanical cell properties are important for predictive mathematical modeling of cellular processes. The concepts of turgor, cell wall elasticity, osmotically active volume, and intracellular osmolarity have been investigated for decades, but a consistent rigorous parameterization of these concepts is lacking. Here, we subjected several data sets of minimum volume measurements in yeast obtained after hyper-osmotic shock to a thermodynamic modeling framework. We estimated parameters for several relevant biophysical cell properties and tested alternative hypotheses about these concepts using a model discrimination approach. In accordance with previous reports, we estimated an average initial turgor of 0.6 ± 0.2 MPa and found that turgor becomes negligible at a relative volume of 93.3 ± 6.3% corresponding to an osmotic shock of 0.4 ± 0.2 Osm/l. At high stress levels (4 Osm/l), plasmolysis may occur. We found that the volumetric elastic modulus, a measure of cell wall elasticity, is 14.3 ± 10.4 MPa. Our model discrimination analysis suggests that other thermodynamic quantities affecting the intracellular water potential, for example the matrix potential, can be neglected under physiological conditions. The parameterized turgor models showed that activation of the osmosensing high osmolarity glycerol (HOG) signaling pathway correlates with turgor loss in a 1:1 relationship. This finding suggests that mechanical properties of the membrane trigger HOG pathway activation, which can be represented and quantitatively modeled by turgor.     

Dissection of the HOG pathway activated by hydrogen peroxide in Saccharomyces cerevisiae

Cells usually cope with oxidative stress by activating signal transduction pathways. In the budding yeast Sacchromyces cerevisiae, the high osmolarity glycerol (HOG) pathway has long been implicated in transducing the oxidative stress‐induced signal, but the underlying mechanisms are not well defined. Based on phosphorylation of the mitogen‐activated protein kinase (MAPK) Hog1, we reveal that the signal from hydrogen peroxide (H₂O₂) flows through Ssk1, the response regulator of the two‐component system of the HOG pathway. Downstream signal transduction into the HOG MAPK cascade requires the MAP kinase kinase kinase (MAP3K) Ssk2 but not its paralog Ssk22 or another MAP3K Ste11 of the pathway, culminating in Hog1 phosphorylation via the MAP2K Pbs2. When overexpressed, Ssk2 is also activated in an Ssk1‐independent manner. Unlike in mammals, H₂O₂ does not cause endoplasmic reticulum stress, which can activate Hog1 through the conventional unfolded protein response. Hog1 activated by H₂O₂ is retained in the cytoplasm, but is still able to activate the cAMP‐ or stress‐responsive elements by unknown mechanisms.     

Calcofluor antifungal action depends on chitin and a functional high-osmolarity glycerol response (HOG) pathway: evidence for a physiological role of the Saccharomyces cerevisiae HOG pathway under noninducing conditions

We have isolated several Saccharomyces cerevisiae mutants resistant to calcofluor that contain mutations in the PBS2 or HOG1 genes, which encode the mitogen-activated protein kinase (MAPK) and MAP kinases, respectively, of the high-osmolarity glycerol response (HOG) pathway. We report that blockage of either of the two activation branches of the pathway, namely, SHO1 and SLN1, leads to partial resistance to calcofluor, while simultaneous disruption significantly increases resistance. However, chitin biosynthesis is independent of the HOG pathway. Calcofluor treatment also induces an increase in salt tolerance and glycerol accumulation, although no activation of the HOG pathway is detected. Our results indicate that the antifungal effect of calcofluor depends on its binding to cell wall chitin but also on the presence of a functional HOG pathway. Characterization of one of the mutants isolated, pbs2-14, revealed that resistance to calcofluor and HOG-dependent osmoadaptation are two different physiological processes. Sensitivity to calcofluor depends on the constitutive functionality of the HOG pathway; when this is altered, the cells become calcofluor resistant but also show very low levels of basal salt tolerance. Characterization of some multicopy suppressors of the calcofluor resistance phenotype indicated that constitutive HOG functionality participates in the maintenance of cell wall architecture, a conclusion supported by the antagonism observed between the protein kinase and HOG signal transduction pathways.     

Ontology based standardization of Petri net modeling for signaling pathways

Taking account of the great availability of Petri nets in modeling and analyzing large complicated signaling networks, semantics of Petri nets is in need of systematization for the purpose of consistency and reusability of the models. This paper reports on standardization of units of Petri nets on the basis of an ontology that gives an intrinsic definition to the process of signaling in signaling pathways.     

Mathematical modeling and validation of the ergosterol pathway in Saccharomyces cerevisiae

The de novo biosynthetic machinery for both sphingolipid and ergosterol production in yeast is localized in the endoplasmic reticulum (ER) and Golgi. The interconnections between the two pathways are still poorly understood, but they may be connected in specialized membrane domains, and specific knockouts strongly suggest that both routes have different layers of mutual control and are co-affected by drugs. With the goal of shedding light on the functional integration of the yeast sphingolipid-ergosterol (SL-E) pathway, we constructed a dynamic model of the ergosterol pathway using the guidelines of Biochemical Systems Theory (BST) (Savageau., J. theor. Biol., 25, 365-9, 1969). The resulting model was merged with a previous mathematical model of sphingolipid metabolism in yeast (Alvarez-Vasquez et al., J. theor. Biol., 226, 265-91, 2004; Alvarez-Vasquez et al., Nature433, 425-30, 2005). The S-system format within BST was used for analyses of consistency, stability, and sensitivity of the SL-E model, while the GMA format was used for dynamic simulations and predictions. Model validation was accomplished by comparing predictions from the model with published results on sterol and sterol-ester dynamics in yeast. The validated model was used to predict the metabolomic dynamics of the SL-E pathway after drug treatment. Specifically, we simulated the action of drugs affecting sphingolipids in the endoplasmic reticulum and studied changes in ergosterol associated with microdomains of the plasma membrane (PM).     

An androgen-inducible expression system for Saccharomyces cerevisiae

A novel controllable expression system for Saccharomyces cerevisiae has been developed. Expression of the gene encoding the human androgen receptor, from a strong yeast promoter, results in transactivation of a hybrid promoter carrying androgen-responsive sequences such that a target gene may be expressed in an androgen-dependent manner. By selection of an appropriate combination of androgen receptor level, target-gene copy number and concentration of the androgenic ligand, dihydrotestosterone, the expression level can be set within a 1400-fold range with no detectable effect on normal cell growth.     

Tendency modeling: a new approach to obtain simplified kinetic models of metabolism applied to Saccharomyces cerevisiae

A novel approach to construct kinetic models of metabolic pathways, to be used in metabolic engineering, is presented: the tendency modeling approach. This approach greatly facilitates the construction of these models and can easily be applied to complex metabolic networks. The resulting models contain a minimal number of parameters; identification of their values is straightforward. Use of in vitro obtained information in the identification of the kinetic equations is minimized. The tendency modeling approach has been used to derive a dynamic model of primary metabolism for aerobic growth of Saccharomyces cerevisiae on glucose, in which compartmentation is included. Simulation results obtained with the derived model are satisfying for most of the carbon metabolites that have been measured. Compared to a more detailed model, the simulations of our model are less accurate, but taking into account the much smaller number of kinetic parameters (35 instead of 84), the tendency the modeling approach is considered promising.     

Qualitatively modelling and analysing genetic regulatory networks: a Petri net approach

MOTIVATION: New developments in post-genomic technology now provide researchers with the data necessary to study regulatory processes in a holistic fashion at multiple levels of biological organization. One of the major challenges for the biologist is to integrate and interpret these vast data resources to gain a greater understanding of the structure and function of the molecular processes that mediate adaptive and cell cycle driven changes in gene expression. In order to achieve this biologists require new tools and techniques to allow pathway related data to be modelled and analysed as network structures, providing valuable insights which can then be validated and investigated in the laboratory. RESULTS: We propose a new technique for constructing and analysing qualitative models of genetic regulatory networks based on the Petri net formalism. We take as our starting point the Boolean network approach of treating genes as binary switches and develop a new Petri net model which uses logic minimization to automate the construction of compact qualitative models. Our approach addresses the shortcomings of Boolean networks by providing access to the wide range of existing Petri net analysis techniques and by using non-determinism to cope with incomplete and inconsistent data. The ideas we present are illustrated by a case study in which the genetic regulatory network controlling sporulation in the bacterium Bacillus subtilis is modelled and analysed. AVAILABILITY: The Petri net model construction tool and the data files for the B. subtilis sporulation case study are available at http://bioinf.ncl.ac.uk/gnapn.     

Evolution of a Saccharomyces cerevisiae metabolic pathway in Escherichia coli

The Saccharomyces cerevisiae glycerol pathway (GPD1 and GPP2) was evolved in vivo in Escherichia coli. The central metabolism of E. coli was engineered to link glucose consumption and glycerol production. The engineered strain was evolved in a chemostat culture and a high glycerol producer was rapidly obtained. The evolution of the strain was associated to a deletion between GPD1 and GPP2, resulting in the production of a fusion protein with both glycerol-3-P dehydrogenase and glycerol-3-P phosphatase activities. The higher efficiency of the fusion protein was due to partial glycerol-3-P channeling between the two active sites. The evolved strain produces glycerol from glucose at high yield, concentration and productivity.     

Reconstruction of a bacterial isoprenoid biosynthetic pathway in Saccharomyces cerevisiae

A eukaryotic mevalonate pathway transferred and expressed in Escherichia coli, and a mammalian hydrocortisone biosynthetic pathway rebuilt in Saccharomyces cerevisiae are examples showing that transferring metabolic pathways from one organism to another can have a powerful impact on cell properties. In this study, we reconstructed the E. coli isoprenoid biosynthetic pathway in S. cerevisiae. Genes encoding the seven enzymatic steps of the pathway were cloned and expressed in S. cerevisiae. mRNA from the seven genes was detected, and the pathway was shown able to sustain growth of yeast in conditions of inhibition of its constitutive isoprenoid biosynthetic pathway.     

An edeine resistant mRNA-dependent protein synthesis system from a Saccharomyces cerevisiae mutant

A cell-free protein synthesizing system from a mutant of Saccharomyces cerevisiae translated exogenous mRNA in the presence of 2 microM edeine, while a similar system from wild-type strain was completely inhibited by the drug. The mutant ribosomes showed an affinity for [125I]edeine comparable to the wild-type ribosomes, thereby suggesting that these macromolecules alone were not responsible for the edeine-resistant capacity of the mutant.     

Colored Petri net modeling and simulation of signal transduction pathways

Presented herein is a methodology for quantitatively analyzing the complex signaling network by resorting to colored Petri nets (CPN). The mathematical as well as Petri net models for two basic reaction types were established, followed by the extension to a large signal transduction system stimulated by epidermal growth factor (EGF) in an application study. The CPN models based on the Petri net representation and the conservation and kinetic equations were used to examine the dynamic behavior of the EGF signaling pathway. The usefulness of Petri nets is demonstrated for the quantitative analysis of the signal transduction pathway. Moreover, the trade-offs between modeling capability and simulation efficiency of this pathway are explored, suggesting that the Petri net model can be invaluable in the initial stage of building a dynamic model.