Analysis of the galactose signal transduction pathway in Saccharomyces cerevisiae: interaction between Gal3p and Gal80p

Enhancement of Galactose Uptake from Kappaphycus alvarezii Using Saccharomyces cerevisiae through Deletion of Negative Regulators of GAL Genes

This study was aimed at enhancing galactose consumption from the red seaweed Kappaphycus alvarezii. The optimal pretreatment condition of thermal acid hydrolysis was treated with 350 mM HNO₃ for 60 min at 121 °C. The enzymatic saccharification with a 1:1 mixture of Celluclast 1.5 L and Viscozyme L showed the maximum yield of glucose; 42-g/L monosaccharide concentration was obtained with the highest yield of pretreatment and enzymatic saccharification (E_PS) and the lowest inhibitory compound concentration. The deletion of the GAL80, MIG1, CYC8, or TUP1 gene was performed to improve the galactose consumption rate. The strains with the deletion of the MIG1 gene (mig1Δ) showed higher galactose consumption rate and ethanol yield than other strains. High transcription levels of regulatory genes revealed that the mig1Δ relieved glucose repression. These results show that the mig1Δ enhances galactose consumption rate from K. alvarezii.

Reverse Evolution of a Classic Gene Network in Yeast Offers a Competitive Advantage

Glucose repression is a central regulatory system in yeast that ensures the utilization of carbon sources in a highly economical manner. The galactose (GAL) metabolism network is stringently regulated by glucose repression in yeast and has been a classic system for studying gene regulation. We show here that a Saccharomyces cerevisiae (S. cerevisiae) lineage in spontaneously fermented milk has swapped all its structural GAL genes (GAL2 and the GAL7-10-1 cluster) with early diverged versions through introgression. The rewired GAL network has abolished glucose repression and conversed from a strictly inducible to a constitutive system through polygenic changes in the regulatory components of the network, including a thymine (T) to cytosine (C) and a guanine (G) to adenine (A) transition in the upstream repressing sequence (URS) sites of GAL1 and GAL4, respectively, which impair Mig1p-mediated repression, loss of function of the repressor Gal80p through a T146I substitution in the protein, and subsequent futility of GAL3. Furthermore, the milk lineage of S. cerevisiae has achieved galactose-utilization rate elevation and galactose-over-glucose preference switch through the duplication of the introgressed GAL2 and the loss of function of the main glucose transporter genes HXT6 and HXT7. In addition, we demonstrate that GAL2 requires GAL7 or GAL10 for its expression, and Gal2p likely requires Gal1p for its transportation function in the milk lineage of S. cerevisiae. We show a clear case of reverse evolution of a classic gene network for ecological adaptation and provide new insights into the regulatory model of the canonical GAL network.

A galactokinase-like protein from the liver fluke Fasciola hepatica

Galactokinase catalyses the ATP-dependent phosphorylation of galactose. A galactokinase-like sequence was identified in a Fasciola hepatica EST library. Recombinant expression of the corresponding protein in Escherichia coli resulted in a protein of approximately 50 kDa. The protein is monomeric, like galactokinases from higher animals, yeasts and some bacteria. The protein has no detectable enzymatic activity with galactose or N-acetylgalactosamine as a substrate. However, it does bind to ATP. Molecular modelling predicted that the protein adopts a similar fold to galactokinase and other GHMP kinases. However, a key loop in the active site was identified which may influence the lack of activity. Sequence analysis strongly suggested that this protein (and other proteins annotated as "galactokinase" in the trematodes Schistosoma mansoni and Clonorchis sinensis) are closer to N-acetylgalactosamine kinases. No other galactokinase-like sequences appear to be present in the genomes of these three species. This raises the intriguing possibility that these (and possibly other) trematodes are unable to catabolise galactose through the Leloir pathway due to the lack of a functional galactokinase.

Noise reduction as an emergent property of single-cell aging

Noise-induced heterogeneity in gene expression is an inherent reality for cells. However, it is not well understood how noise strength changes for a single gene while the host cell is aging. Using a state-of-the-art microfluidic platform, we measure noise dynamics in aging yeast cells by tracking the generation-specific activity of the canonical GAL1 promoter. We observe noise reduction during normal aging of a cell, followed by a short catastrophe phase in which noise increased. We hypothesize that aging-associated increases in chromatin state transitions are behind the observed noise reduction and a stochastic model provides quantitative support to the proposed mechanism. Noise trends measured from strains with altered GAL1 promoter dynamics (constitutively active, synthetic with nucleosome-disfavoring sequences, and in the absence of RPD3, a global remodeling regulator) lend further support to our hypothesis. Observing similar noise dynamics from a different promoter (HHF2) provides support to the generality of our findings.

Gene expression is a noisy process, but it is not known how noise in gene expression changes during the aging of single cells. Here the authors show that noise decreases during normal aging, and provide support for aging-associated increases in chromatin state transitions governing noise reduction.

Bimodal expression of yeast GAL genes is controlled by a long non-coding RNA and a bifunctional galactokinase

Bimodality in gene expression can generate phenotypic heterogeneity facilitating fitness and growth of isogenic cell populations in suboptimal environments. We investigated the mechanism by which, in conditions of limiting galactose, yeast cell populations activate GAL genes in a bimodal fashion with a cell fraction expressing GAL genes (ON), while the rest subpopulation is kept at the non-expressing (OFF) state. We show that a long non-coding RNA (GAL10-ncRNA) crossing the bidirectional GAL1-10 promoter, decreases the rate by which single cells commit transition to the ON state without affecting the rate of GAL transcription per se in ON cells. This is accomplished by repressing stochastic expression of the bifunctional Gal1p galactokinase, which besides its enzymatic activity acts as an essential inducer of the system under those conditions. We show that once single cells switch to the ON state, the GAL10-ncRNA effect is overridden by accumulating Gal1p levels sufficient to feedback positively on Gal4p, and not by the active transcription of GAL10 that occurs in opposite direction relative to that of GAL10-ncRNA. Conversely, GAL10-ncRNA does not influence transition of ON cells, where Gal4p is active, back to the OFF state. Our model suggests that the functional interplay between GAL10-ncRNA transcription, stochastic Gal1p expression and Gal1p positive feedback on Gal4p constitutes a novel molecular switch mechanism dictating the commitment of individual cells for either metabolic state.

Noise reduction facilitated by dosage compensation in gene networks

Genetic noise together with genome duplication and volume changes during cell cycle are significant contributors to cell-to-cell heterogeneity. How can cells buffer the effects of these unavoidable epigenetic and genetic variations on phenotypes that are sensitive to such variations? Here we show that a simple network motif that is essential for network-dosage compensation can reduce the effects of extrinsic noise on the network output. Using natural and synthetic gene networks with and without the network motif, we measure gene network activity in single yeast cells and find that the activity of the compensated network is significantly lower in noise compared with the non-compensated network. A mathematical analysis provides intuitive insights into these results and a novel stochastic model tracking cell-volume and cell-cycle predicts the experimental results. Our work implies that noise is a selectable trait tunable by evolution.

A cell size- and cell cycle-aware stochastic model for predicting time-dynamic gene network activity in individual cells

Background

Despite the development of various modeling approaches to predict gene network activity, a time dynamic stochastic model taking into account real-time changes in cell volume and cell cycle stages is still missing.

Results

Here we present a stochastic single-cell model that can be applied to any eukaryotic gene network with any number of components. The model tracks changes in cell volume, DNA replication, and cell division, and dynamically adjusts rates of stochastic reactions based on this information. By tracking cell division, the model can maintain cell lineage information, allowing the researcher to trace the descendants of any single cell and therefore study cell lineage effects. To test the predictive power of our model, we applied it to the canonical galactose network of the yeast Saccharomyces cerevisiae. Using a minimal set of free parameters and across several galactose induction conditions, the model effectively captured several details of the experimentally-obtained single-cell network activity levels as well as phenotypic switching rates.

Conclusion

Our model can readily be customized to model any gene network in any of the commonly used cells types, offering a novel and user-friendly stochastic modeling capability to the systems biology field.

Electronic supplementary material

The online version of this article (doi:10.1186/s12918-015-0240-5) contains supplementary material, which is available to authorized users.

Yeast Replicator: A High-Throughput Multiplexed Microfluidics Platform for Automated Measurements of Single-Cell Aging

The yeast Saccharomyces cerevisiae is a model organism for replicative aging studies; however, conventional lifespan measurement platforms have several limitations. Here, we present a microfluidics platform that facilitates simultaneous lifespan and gene expression measurements of aging yeast cells. Our multiplexed high-throughput platform offers the capability to perform independent lifespan experiments using different yeast strains or growth media. Using this platform in minimal media environments containing glucose, we measured the full lifespan of individual yeast cells in wild-type and canonical gene deletion backgrounds. Compared to glucose, in galactose we observed a 16.8% decrease in replicative lifespan accompanied by an ∼2-fold increase in single-cell oxidative stress levels reported by PSOD1-mCherry. Using PGAL1-YFP to measure the activity of the bistable galactose network, we saw that OFF and ON cells are similar in their lifespan. Our work shows that aging cells are committed to a single phenotypic state throughout their lifespan.

Dynamics of Gal80p in the Gal80p-Gal3p complex differ significantly from the dynamics in the Gal80p-Gal1p complex: implications for the higher specificity of Gal3p

The expression of the GAL gene in Sacharomyces cerevisiae is regulated by three proteins; Gal3p/Gal1p, Gal80p and Gal4p. Both Gal3p and Gal1p act as transcriptional inducers, though Gal3p has a higher activity than Gal1p. The difference in activity may depend on the strength of the interaction and dynamical behavior of these proteins during complex formation with the repressor protein Gal80p. To address these queries we have modeled the binding interface of the Gal1p-Gal80p and Gal3p-Gal80p complexes. The comparison of the dynamics of these proteins in the complex and in the Apo protein was carried out. It was observed that the binding of Gal3p with Gal80p induces significant flexibility in Gal80p on a surface different from the one involved in binding with Gal3p. Several other differences at the interface between the Gal3p-Gal80p and the Gal1p-Gal80p complex were observed, which might permit Gal3p to act as a transcriptional inducer with higher activity. Further, we have discussed the dynamical event and plausible mechanism of complex formation of Gal3p and Gal1p with Gal80p at the molecular level.

Evolution of gene network activity by tuning the strength of negative-feedback regulation

Despite the examples of protein evolution via mutations in coding sequences, we have very limited understanding on gene network evolution via changes in cis-regulatory elements. Using the galactose network as a model, here we show how the regulatory promoters of the network contribute to the evolved network activity between two yeast species. In Saccharomyces cerevisiae, we combinatorially replace all regulatory network promoters by their counterparts from Saccharomyces paradoxus, measure the resulting network inducibility profiles, and model the results. Lowering relative strength of GAL80-mediated negative feedback by replacing GAL80 promoter is necessary and sufficient to have high network inducibility levels as in S. paradoxus. This is achieved by increasing OFF-to-ON phenotypic switching rates. Competitions performed among strains with or without the GAL80 promoter replacement show strong relationships between network inducibility and fitness. Our results support the hypothesis that gene network activity can evolve by optimizing the strength of negative-feedback regulation.

Gene overexpression: uses, mechanisms, and interpretation

The classical genetic approach for exploring biological pathways typically begins by identifying mutations that cause a phenotype of interest. Overexpression or misexpression of a wild-type gene product, however, can also cause mutant phenotypes, providing geneticists with an alternative yet powerful tool to identify pathway components that might remain undetected using traditional loss-of-function analysis. This review describes the history of overexpression, the mechanisms that are responsible for overexpression phenotypes, tests that begin to distinguish between those mechanisms, the varied ways in which overexpression is used, the methods and reagents available in several organisms, and the relevance of overexpression to human disease.

Molecular simulation and docking studies of Gal1p and Gal3p proteins in the presence and absence of ligands ATP and galactose: implication for transcriptional activation of GAL genes

The Gal4p mediated transcriptional activation of GAL genes requires the interaction between Gal3p bound with ATP and galactose and Gal80p. Though numerous studies suggest that galactose and ATP activate Gal3p/Gal1p interaction with Gal80p, neither the mechanism of activation nor the interacting surface that binds to Gal80p is well understood. In this study we investigated the dynamics of Gal3p and Gal1p in the presence and absence of ligands ATP and galactose to understand the role played by dynamics in the function of these proteins through molecular dynamics simulation and protein-protein docking studies. We performed simulations totaling to 510 ns on both Gal1p and Gal3p proteins in the presence and absence of ligands ATP and galactose. We find that, while binding of ligands ATP and galactose to Gal3p/Gal1p do not affect the global conformation of proteins, some local conformational changes around upper-lip helix including insertion domain are observed. We observed that only in the presence of ATP and galactose, Gal3p displays opening and closing motion between the two domains. And because of this motion, a binding interface, which is largely hydrophobic, opens up on the surface of Gal3p and this surface can bind to Gal80p. From our simulation studies we infer probable docking sites for Gal80p on Gal3p/Gal1p, which were further ascertained by the docking of Gal80p on to ligand bound Gal1p and Gal3p proteins, and the residues at the interface between Gal3p and Gal80p are identified. Our results correlate quite well with the existing body of literature on functional and dynamical aspects of Gal1p and Gal3p proteins.

Transcriptional regulation in Saccharomyces cerevisiae: transcription factor regulation and function, mechanisms of initiation, and roles of activators and coactivators

Here we review recent advances in understanding the regulation of mRNA synthesis in Saccharomyces cerevisiae. Many fundamental gene regulatory mechanisms have been conserved in all eukaryotes, and budding yeast has been at the forefront in the discovery and dissection of these conserved mechanisms. Topics covered include upstream activation sequence and promoter structure, transcription factor classification, and examples of regulated transcription factor activity. We also examine advances in understanding the RNA polymerase II transcription machinery, conserved coactivator complexes, transcription activation domains, and the cooperation of these factors in gene regulatory mechanisms.

Rapid GAL gene switch of Saccharomyces cerevisiae depends on nuclear Gal3, not nucleocytoplasmic trafficking of Gal3 and Gal80

The yeast transcriptional activator Gal4 localizes to UAS(GAL) sites even in the absence of galactose but cannot activate transcription due to an association with the Gal80 protein. By 4 min after galactose addition, Gal4-activated gene transcription ensues. It is well established that this rapid induction arises through a galactose-triggered association between the Gal80 and Gal3 proteins that decreases the association of Gal80 and Gal4. How this happens mechanistically remains unclear. Strikingly different hypotheses prevail concerning the possible roles of nucleocytoplasmic distribution and trafficking of Gal3 and Gal80 and where in the cell the initial Gal3-Gal80 association occurs. Here we tested two conflicting hypotheses by evaluating the subcellular distribution and dynamics of Gal3 and Gal80 with reference to induction kinetics. We determined that the rates of nucleocytoplasmic trafficking for both Gal80 and Gal3 are slow relative to the rate of induction. We find that depletion of the nuclear pool of Gal3 slows the induction kinetics. Thus, nuclear Gal3 is critical for rapid induction. Fluorescence-recovery-after-photobleaching experiments provided data suggesting that the Gal80-Gal4 complex exhibits kinetic stability in the absence of galactose. Finally, we detect Gal3 at the UAS(GAL) only if Gal80 is covalently linked to the DNA-binding domain. Taken altogether, these new findings lead us to propose that a transient interaction of Gal3 with Gal4-associated Gal80 could explain the rapid response of this system. This notion could also explain earlier observations.

Bioconversion of lignocellulose-derived sugars to ethanol by engineered Saccharomyces cerevisiae

Lignocellulosic biomass from agricultural and agro-industrial residues represents one of the most important renewable resources that can be utilized for the biological production of ethanol. The yeast Saccharomyces cerevisiae is widely used for the commercial production of bioethanol from sucrose or starch-derived glucose. While glucose and other hexose sugars like galactose and mannose can be fermented to ethanol by S. cerevisiae, the major pentose sugars D-xylose and L-arabinose remain unutilized. Nevertheless, D-xylulose, the keto isomer of xylose, can be fermented slowly by the yeast and thus, the incorporation of functional routes for the conversion of xylose and arabinose to xylulose or xylulose-5-phosphate in Saccharomyces cerevisiae can help to improve the ethanol productivity and make the fermentation process more cost-effective. Other crucial bottlenecks in pentose fermentation include low activity of the pentose phosphate pathway enzymes and competitive inhibition of xylose and arabinose transport into the cell cytoplasm by glucose and other hexose sugars. Along with a brief introduction of the pretreatment of lignocellulose and detoxification of the hydrolysate, this review provides an updated overview of (a) the key steps involved in the uptake and metabolism of the hexose sugars: glucose, galactose, and mannose, together with the pentose sugars: xylose and arabinose, (b) various factors that play a major role in the efficient fermentation of pentose sugars along with hexose sugars, and (c) the approaches used to overcome the metabolic constraints in the production of bioethanol from lignocellulose-derived sugars by developing recombinant S. cerevisiae strains.

A general mechanism for network-dosage compensation in gene circuits

Coping with variations in network dosage is crucial for maintaining optimal function in gene networks. We explored how network structure facilitates network-level dosage compensation. By using the yeast galactose network as a model, we combinatorially deleted one of the two copies of its four regulatory genes and found that network activity was robust to the change in network dosage. A mathematical analysis revealed that a two-component genetic circuit with elements of opposite regulatory activity (activator and inhibitor) constitutes a minimal requirement for network-dosage invariance. Specific interaction topologies and a one-to-one interaction stoichiometry between the activating and inhibiting agents were additional essential elements facilitating dosage invariance. This mechanism of network-dosage invariance could represent a general design for gene network structure in cells.

Inducible gene expression: diverse regulatory mechanisms

The rapid activation of gene expression in response to stimuli occurs largely through the regulation of RNA polymerase II-dependent transcription. In this Review, we discuss events that occur during the transcription cycle in eukaryotes that are important for the rapid and specific activation of gene expression in response to external stimuli. In addition to regulated recruitment of the transcription machinery to the promoter, it has now been shown that control steps can include chromatin remodelling and the release of paused polymerase. Recent work suggests that some components of signal transduction cascades also play an integral part in activating transcription at target genes.

Gene activation by dissociation of an inhibitor from a transcriptional activation domain

Gal4 is a prototypical eukaryotic transcriptional activator whose recruitment function is inhibited in the absence of galactose by the Gal80 protein through masking of its transcriptional activation domain (AD). A long-standing nondissociation model posits that galactose-activated Gal3 interacts with Gal4-bound Gal80 at the promoter, yielding a tripartite Gal3-Gal80-Gal4 complex with altered Gal80-Gal4 conformation to enable Gal4 AD activity. Some recent data challenge this model, whereas other recent data support the model. To address this controversy, we imaged fluorescent-protein-tagged Gal80, Gal4, and Gal3 in live cells containing a novel GAL gene array. We find that Gal80 rapidly dissociates from Gal4 in response to galactose. Importantly, this dissociation is Gal3 dependent and concurrent with Gal4-activated GAL gene expression. When galactose-triggered dissociation is followed by galactose depletion, preexisting Gal80 reassociates with Gal4, indicating that sequestration of Gal80 by Gal3 contributes to the observed Gal80-Gal4 dissociation. Moreover, the ratio of nuclear Gal80 to cytoplasmic Gal80 decreases in response to Gal80-Gal3 interaction. Taken together, these and other results provide strong support for a GAL gene switch model wherein Gal80 rapidly dissociates from Gal4 through a mechanism that involves sequestration of Gal80 by galactose-activated Gal3.

Localization and interaction of the proteins constituting the GAL genetic switch in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, the GAL genes encode the enzymes required for galactose metabolism. Regulation of these genes has served as the paradigm for eukaryotic transcriptional control over the last 50 years. The switch between inert and active gene expression is dependent upon three proteins--the transcriptional activator Gal4p, the inhibitor Gal80p, and the ligand sensor Gal3p. Here, we present a detailed spatial analysis of the three GAL regulatory proteins produced from their native genomic loci. Using a novel application of photobleaching, we demonstrate, for the first time, that the Gal3p ligand sensor enters the nucleus of yeast cells in the presence of galactose. Additionally, using Förster resonance energy transfer, we show that the interaction between Gal3p and Gal80p occurs throughout the yeast cell. Taken together, these data challenge existing models for the cellular localization of the regulatory proteins during the induction of GAL gene expression by galactose and suggest a mechanism for the induction of the GAL genes in which galactose-bound Gal3p moves from the cytoplasm to the nucleus to interact with the transcriptional inhibitor Gal80p.

Genetic evidence for sites of interaction between the Gal3 and Gal80 proteins of the Saccharomyces cerevisiae GAL gene switch

Galactose-activated transcription of the Saccharomyces cerevisiae GAL genes occurs when Gal3 binds the Gal4 inhibitor, Gal80. Noninteracting variants of Gal3 or Gal80 render the GAL genes noninducible. To identify the binding determinants for Gal3's interaction with Gal80 we carried out GAL3-GAL80 intergenic suppression analyses and selected for new GAL3 mutations that impair the Gal3-Gal80 interaction. We show that a GAL3(C)-D368V mutation can suppress the noninducibility due to a GAL80(S-1)-G323R mutation, and a GAL80-M350C mutation can suppress the noninducibility due to a gal3-D111C mutation. A reverse two-hybrid selection for GAL3 mutations that impair the Gal3-Gal80 interaction yielded 12 single-amino-acid substitutions at residues that are predicted to be surface exposed on Gal3. The majority of the affected Gal3 residues localized to a composite surface that includes D111 and a sequence motif containing D368, which has been implicated in interaction with Gal80. The striking colocalization of intergenic suppressor residues and Gal80 nonbinder residues identifies a Gal3 surface that likely interacts with Gal80.

Galactose metabolism in yeast-structure and regulation of the leloir pathway enzymes and the genes encoding them

The enzymes of the Leloir pathway catalyze the conversion of galactose to a more metabolically useful version, glucose-6-phosphate. This pathway is required as galactose itself cannot be used for glycolysis directly. In most organisms, including the yeast Saccharomyces cerevisiae, five enzymes are required to catalyze this conversion: a galactose mutarotase, a galactokinase, a galactose-1-phosphate uridyltransferase, a UDP-galactose-4-epimerase, and a phosphoglucomutase. In yeast, the genes encoding these enzymes are tightly controlled at the level of transcription and are only transcribed under specific sets of conditions. In the presence of glucose, the genes encoding the Leloir pathway enzymes (often called the GAL genes) are repressed through the action of a transcriptional repressor Mig1p. In the presence of galactose, but in the absence of glucose, the concerted actions of three other proteins Gal4p, Gal80p, and Gal3p, and two small molecules (galactose and ATP) enable the rapid and high-level activation of the GAL genes. The precise molecular mechanism of the GAL genetic switch is controversial. Recent work on solving the three-dimensional structures of the various GAL enzymes proteins and the GAL transcriptional switch proteins affords a unique opportunity to delve into the precise, and potentially unambiguous, molecular mechanism of a highly exploited transcriptional circuit. Understanding the details of the transcriptional and metabolic events that occur in this pathway can be used as a paradigm for understanding the integration of metabolism and transcriptional control more generally, and will assist our understanding of fundamental biochemical processes and how these might be exploited.

A yeast catabolic enzyme controls transcriptional memory

It has been postulated that chromatin modifications can persist through mitosis and meiosis, thereby securing memory of transcriptional states. Whether these chromatin marks can self-propagate in progeny independently of relevant trans-acting factors is an important question in phenomena related to epigenesis. "Adaptive cellular memory" displayed by yeast cells offers a convenient system to address this question. The yeast GAL genes are slowly activated by Gal4 when cells are first exposed to galactose, but their progeny, grown in glucose media, exhibit a fast activation mode upon re-exposure to this sugar. This "galactose memory" persists for several generations and was recently proposed to involve chromatin modifications and perinuclear topology of the GAL genes cluster. Here, we perform a heterokaryon assay demonstrating that this memory does not have a chromatin basis but is maintained by cytoplasmic factor(s) produced upon previous galactose induction. We show that Gal3, the cytoplasmic rate-limiting factor that releases the Gal4 activator, is dispensable for preserving galactose memory. Instead, the important memory determinant is a close Gal3 homolog, the highly expressed Gal1 galactokinase, the residual activity of which preserves memory in progeny cells by rapidly turning on the Gal4 activator upon cells' re-exposure to galactose.

The Galactose Switch in Kluyveromyces lactis Depends on Nuclear Competition between Gal4 and Gal1 for Gal80 Binding

The Gal4 protein represents a universally functional transcription activator, which in yeast is regulated by protein-protein interaction of its transcription activation domain with the inhibitor Gal80. Gal80 inhibition is relieved via galactose-mediated Gal80-Gal1-Gal3 interaction. The Gal4-Gal80-Gal1/3 regulatory module is conserved between Saccharomyces cerevisiae and Kluyveromyces lactis. Here we demonstrate that K. lactis Gal80 (KlGal80) is a nuclear protein independent of the Gal4 activity status, whereas KlGal1 is detected throughout the entire cell, which implies that KlGal80 and KlGal1 interact in the nucleus. Consistently KlGal1 accumulates in the nucleus upon KlGAL80 overexpression. Furthermore, we show that the KlGal80-KlGal1 interaction blocks the galactokinase activity of KlGal1 and is incompatible with KlGal80-KlGal4-AD interaction. Thus, we propose that dissociation of KlGal80 from the AD forms the basis of KlGal4 activation in K. lactis. Quantitation of the dissociation constants for the KlGal80 complexes gives a much lower affinity for KlGal1 as compared with Gal4. Mathematical modeling shows that with these affinities a switch based on competition between Gal1 and Gal4 for Gal80 binding is nevertheless efficient provided two monomeric Gal1 molecules interact with dimeric Gal80. Consistent with such a mechanism, analysis of the sedimentation behavior by analytical ultracentrifugation demonstrates the formation of a heterotetrameric KlGal80-KlGal1 complex of 2:2 stoichiometry.

Intragenic suppression of Gal3C interaction with Gal80 in the Saccharomyces cerevisiae GAL gene switch

Gal4-mediated activation of GAL gene transcription in Saccharomyces cerevisiae requires the interaction of Gal3 with Gal80, the Gal4 inhibitor protein. While it is known that galactose and ATP activates Gal3 interaction with Gal80, neither the mechanism of activation nor the surface that binds to Gal80 is known. We addressed this through intragenic suppression of GAL3C alleles that cause galactose-independent Gal3-Gal80 interaction. We created a new allele, GAL3SOC, and showed that it suppressed a new GAL3C allele. We tested the effect of GAL3SOC on several newly isolated and existing GAL3C alleles that map throughout the gene. All except one GAL3C allele, D368V, were suppressible by GAL3SOC. GAL3SOC and all GAL3C alleles were localized on a Gal3 homology model that is based on the structure of the highly related Gal1 protein. These results provide evidence for allosterism in the galactose- and ATP-activation of Gal3 binding to Gal80. In addition, because D368V and residues corresponding to Gal80-nonbinder mutations colocalized to a domain that is absent in homologous proteins that do not bind to Gal80, we suggest that D368 is a part of the Gal80-binding surface.

Mitochondrial dysfunction enhances Gal4-dependent transcription

Mitochondrial dysfunction has been shown to elicit broad effects on nuclear gene expression. We show here that transcription dependent on the prototypical acidic activator Gal4 is responsive to mitochondrial dysfunction. In cells with no mitochondrial DNA, Gal4-dependent gene expression is elevated. A minimal Gal4 activator containing the DNA binding and activation domain is sufficient for this response. Transcription dependent on a fusion of Gal4 to a heterologous DNA binding domain is similarly elevated in a mitochondrial mutant. Analysis of different Gal4-dependent promoters and gel mobility shift assays suggest that the effect of mitochondrial dysfunction on Gal4 activity is related to increased DNA binding to the cognate Gal4 element. Given that fermentation is the only means to obtain energy in respiratory deficient cells, it is possible that higher Gal4 activity in cells with dysfunctional mitochondria works to promote more efficient fermentation of galactose.

Eukaryotic transcription factors as direct nutrient sensors

The recognition of changes in environmental conditions, and the ability to adapt to these changes, is essential for the viability of cells. There are numerous well-characterized systems by which the presence or absence of an individual metabolite can be recognized by a cell. The recognition of a metabolite is, however, just one step of a process that often results in changes in the expression of sets of genes required to respond to that metabolite. The signalling pathway between metabolite recognition and transcriptional control is often complex. However, recent evidence from yeast suggests that complex signalling pathways might be circumvented via the direct interaction between individual metabolites and regulators of RNA polymerase II transcription.

Replacement of a conserved tyrosine by tryptophan in Gal3p of Saccharomyces cerevisiae reduces constitutive activity: implications for signal transduction in the GAL regulon

The ability of Saccharomyces cerevisiae to utilize galactose is regulated by the nucleo-cytoplasmic shuttling of a transcriptional repressor, the Gal80 protein. Gal80 interacts with the transcriptional activator Gal4 in the nucleus and inhibits its function, preventing induction of the GAL genes. In response to galactose, the relative amounts of Gal80 in the cytoplasm and the nucleus are modulated by the action of a signal transducer, Gal3. Although it has been speculated that Gal3 binds galactose, this has not been experimentally demonstrated. In this study, we show that replacement of a conserved tyrosine in Gal3 by tryptophan leads to a reduction of its constitutive activity in the absence of galactose. In addition, this mutant protein was fully functional in vivo only when high concentrations of galactose were present in the medium. When overexpressed, the mutant was found to activate the genes GAL1 and GAL7/10 differentially. The implications of these findings for the fine regulation of GAL genes, and its physiological significance, are discussed.

Molecular structure of Saccharomyces cerevisiae Gal1p, a bifunctional galactokinase and transcriptional inducer

Gal1p of Saccharomyces cerevisiae is capable of performing two independent cellular functions. First, it is a key enzyme in the Leloir pathway for galactose metabolism where it catalyzes the conversion of alpha-d-galactose to galactose 1-phosphate. Second, it has the capacity to induce the transcription of the yeast GAL genes in response to the organism being challenged with galactose as the sole source of carbon. This latter function is normally performed by a highly related protein, Gal3p, but in its absence Gal1p can induce transcription, albeit inefficiently, both in vivo and in vitro. Here we report the x-ray structure of Gal1p in complex with alpha-d-galactose and Mg-adenosine 5'-(beta,gamma-imido)triphosphate (AMPPNP) determined to 2.4 Angstrom resolution. Overall, the enzyme displays a marked bilobal appearance with the active site being wedged between distinct N- and C-terminal domains. Despite being considerably larger than other galactokinases, Gal1p shares a similar molecular architecture with these enzymes as well as with other members of the GHMP superfamily. The extraordinary levels of similarity between Gal1p and Gal3p ( approximately 70% amino acid identity and approximately 90% similarity) have allowed a model for Gal3p to be constructed. By identifying the locations of mutations of Gal3p that result in altered transcriptional properties, we suggest potential models for Gal3p function and mechanisms for its interaction with the transcriptional inhibitor Gal80p. The GAL genetic switch has long been regarded as a paradigm for the control of gene expression in eukaryotes. Understanding the manner in which two of the proteins that function in transcriptional regulation interact with one another is an important step in determining the overall molecular mechanism of this switch.

A comparative analysis of the GAL genetic switch between not-so-distant cousins: Saccharomyces cerevisiae versus Kluyveromyces lactis

Despite their close phylogenetic relationship, Kluyveromyces lactis and Saccharomyces cerevisiae have adapted their carbon utilization systems to different environments. Although they share identities in the arrangement, sequence and functionality of their GAL gene set, both yeasts have evolved important differences in the GAL genetic switch in accordance to their relative preference for the utilization of galactose as a carbon source. This review provides a comparative overview of the GAL-specific regulatory network in S. cerevisiae and K. lactis, discusses the latest models proposed to explain the transduction of the galactose signal, and describes some of the particularities that both microorganisms display in their regulatory response to different carbon sources. Emphasis is placed on the potential for improved strategies in biotechnological applications using yeasts.

Enhancement of cellular memory by reducing stochastic transitions

On induction of cell differentiation, distinct cell phenotypes are encoded by complex genetic networks. These networks can prevent the reversion of established phenotypes even in the presence of significant fluctuations. Here we explore the key parameters that determine the stability of cellular memory by using the yeast galactose-signalling network as a model system. This network contains multiple nested feedback loops. Of the two positive feedback loops, only the loop mediated by the cytoplasmic signal transducer Gal3p is able to generate two stable expression states with a persistent memory of previous galactose consumption states. The parallel loop mediated by the galactose transporter Gal2p only increases the expression difference between the two states. A negative feedback through the inhibitor Gal80p reduces the strength of the core positive feedback. Despite this, a constitutive increase in the Gal80p concentration tunes the system from having destabilized memory to having persistent memory. A model reveals that fluctuations are trapped more efficiently at higher Gal80p concentrations. Indeed, the rate at which single cells randomly switch back and forth between expression states was reduced. These observations provide a quantitative understanding of the stability and reversibility of cellular differentiation states.

Gal80 dimerization and the yeast GAL gene switch

The Saccharomyces cerevisiae Gal80 protein has two binding partners: Gal4 and Gal3. In the absence of galactose, Gal80 binds to and inhibits the transcriptional activation domain (AD) of the GAL gene activator, Gal4, preventing GAL gene expression. Galactose triggers an association between Gal3 and Gal80, relieving Gal80 inhibition of Gal4. We selected for GAL80 mutants with impaired capacity of Gal80 to bind to Gal3 or Gal4AD. Most Gal80 variants selected for impaired binding to Gal4AD retained their capacity to bind to Gal3 and to self-associate, whereas most of those selected for impaired binding to Gal3 lost their ability to bind to Gal4AD and self-associate. Thus, some Gal80 amino acids are determinants for both the Gal80-Gal3 association and the Gal80 self-association, and Gal80 self-association may be required for binding to Gal4AD. We propose that the binding of Gal3 to the Gal80 monomer competes with Gal80 self-association, reducing the amount of the Gal80 dimer available for inhibition of Gal4.

Independent recruitment in vivo by Gal4 of two complexes required for transcription

We use a modified form of ChIP to analyze the recruitment of seven sets of proteins to the yeast GAL genes upon induction. We resolve three stages of recruitment: first SAGA, then Mediator, and finally Pol II along with four other proteins (including TBP) bind the promoter. In a strain lacking SAGA, Mediator is recruited with a time course indistinguishable from that observed in wild-type cells. Our results are consistent with the notion that a single species of activator, Gal4, separately contacts, and thereby directly recruits, SAGA and Mediator.

Molecular analysis of a Saccharomyces cerevisiae mutant with improved ability to utilize xylose shows enhanced expression of proteins involved in transport, initial xylose metabolism, and the pentose phosphate pathway

Differences between the recombinant xylose-utilizing Saccharomyces cerevisiae strain TMB 3399 and the mutant strain TMB 3400, derived from TMB 3399 and displaying improved ability to utilize xylose, were investigated by using genome-wide expression analysis, physiological characterization, and biochemical assays. Samples for analysis were withdrawn from chemostat cultures. The characteristics of S. cerevisiae TMB 3399 and TMB 3400 grown on glucose and on a mixture of glucose and xylose, as well as of S. cerevisiae TMB 3400 grown on only xylose, were investigated. The strains were cultivated under chemostat conditions at a dilution rate of 0.1 h(-1), with feeds consisting of a defined mineral medium supplemented with 10 g of glucose liter(-1), 10 g of glucose plus 10 g of xylose liter(-1) or, for S. cerevisiae TMB 3400, 20 g of xylose liter(-1). S. cerevisiae TMB 3400 consumed 31% more xylose of a feed containing both glucose and xylose than S. cerevisiae TMB 3399. The biomass yields for S. cerevisiae TMB 3400 were 0.46 g of biomass g of consumed carbohydrate(-1) on glucose and 0.43 g of biomass g of consumed carbohydrate(-1) on xylose. A K(s) value of 33 mM for xylose was obtained for S. cerevisiae TMB 3400. In general, the percentage error was <20% between duplicate microarray experiments originating from independent fermentation experiments. Microarray analysis showed higher expression in S. cerevisiae TMB 3400 than in S. cerevisiae TMB 3399 for (i) HXT5, encoding a hexose transporter; (ii) XKS1, encoding xylulokinase, an enzyme involved in one of the initial steps of xylose utilization; and (iii) SOL3, GND1, TAL1, and TKL1, encoding enzymes in the pentose phosphate pathway. In addition, the transcriptional regulators encoded by YCR020C, YBR083W, and YPR199C were expressed differently in the two strains. Xylose utilization was, however, not affected in strains in which YCR020C was overexpressed or deleted. The higher expression of XKS1 in S. cerevisiae TMB 3400 than in TMB 3399 correlated with higher specific xylulokinase activity in the cell extracts. The specific activity of xylose reductase and xylitol dehydrogenase was also higher for S. cerevisiae TMB 3400 than for TMB 3399, both on glucose and on the mixture of glucose and xylose.

Molecular characterization of MRG19 of Saccharomyces cerevisiae. Implication in the regulation of galactose and nonfermentable carbon source utilization

We have reported previously that multiple copies of MRG19 suppress GAL genes in a wild-type but not in a gal80 strain of Saccharomyces cerevisiae. In this report we show that disruption of MRG19 leads to a decrease in GAL induction when S. cerevisiae is induced with 0.02% but not with 2.0% galactose. Disruption of MRG19 in a gal3 background (this strain shows long-term adaptation phenotype) further delays the GAL induction, supporting the notion that its function is important only under low inducing signals. As a corollary, disruption of MRG19 in a gal80 strain did not decrease the constitutive expression of GAL genes. These results suggest that MRG19 has a role in GAL regulation only when the induction signal is weak. Unlike the effect on GAL gene expression, disruption of MRG19 leads to de-repression of CYC1-driven beta-galactosidase activity. MRG19 disruptant also showed a twofold increase in the rate of oxygen uptake as compared with the wild-type strain. ADH2, CTA1, DLD1, and CYC7 promoters that are active during nonfermentative growth did not show any de-repression of beta-galactosidase activity in the MRG19 disruptant. Western blot analysis indicated that MRG19 is a glucose repressible gene and is expressed in galactose and glycerol plus lactate. Experiments using green fluorescent protein fusion constructs indicate that Mrg19p is localized in the nucleus consistent with the presence of a consensus nuclear localization signal sequence. Based on the above results, we propose that Mrg19p is a regulator of galactose and nonfermentable carbon utilization.

Gene activation by interaction of an inhibitor with a cytoplasmic signaling protein

Galactose-inducible genes (GAL genes) in yeast Saccharomyces cerevisiae are efficiently transcribed only when the sequence-specific transcription activator Gal4p is activated. Activation of Gal4p requires the interaction between the Gal4p inhibitory protein Gal80p and the galactokinase paralog, Gal3p. It has been proposed that Gal3p binds to a Gal80p-Gal4p complex in the nucleus to activate Gal4p. Here, we present evidence that the Gal3p-Gal80p interaction occurs in the cytoplasm, and concurrently, Gal80p is removed from Gal4p at the GAL gene promoter. We also show that GAL gene expression can be activated by heterologous protein-protein interaction in the cytoplasm that is independent of galactose and Gal3p function. These results indicate that galactose-triggered Gal3p-Gal80p association in the cytoplasm activates Gal4p in the nucleus.

Gal3p and Gal1p interact with the transcriptional repressor Gal80p to form a complex of 1:1 stoichiometry

The genes encoding the enzymes required for galactose metabolism in Saccharomyces cerevisiae are controlled at the level of transcription by a genetic switch consisting of three proteins: a transcriptional activator, Gal4p; a transcriptional repressor, Gal80p; and a ligand sensor, Gal3p. The switch is turned on in the presence of two small molecule ligands, galactose and ATP. Gal3p shows a high degree of sequence identity with Gal1p, the yeast galactokinase. We have mapped the interaction between Gal80p and Gal3p, which only occurs in the presence of both ligands, using protease protection experiments and have shown that this involves amino acid residue 331 of Gal80p. Gel-filtration experiments indicate that Gal3p, or the galactokinase Gal1p, interact directly with Gal80p to form a complex with 1:1 stoichiometry.

In vivo dynamics of galactose metabolism in Saccharomyces cerevisiae: metabolic fluxes and metabolite levels

The dynamics of galactose metabolism in Saccharomyces cerevisiae was studied by analyzing the metabolic response of the CEN.PK 113-7D wild-type strain when exposed to a galactose pulse during aerobic growth in a galactose-limited steady-state cultivation at a dilution rate of 0.097 h(-1). A fast sampling technique and subsequent methanol-chloroform/solid phase extractions were applied for in vivo measurements of the dynamic changes of the AMP, ADP, ATP levels and the sugar phosphates of the Leloir pathway. The ATP level was found to be significantly lower for yeast growing under galactose limitation (0.37 +/- 0.05 micromol/g CDW) than what has been reported for growth under glucose limitation. The galactose pulse of 5.58 mM was consumed within 40 min (t = 40) and 7 min after the pulse was added cell growth stopped. Subsequently, the cells started to grow and at t = 30 the specific growth rate had recovered to half the steady-state growth rate (0.047 h(-1)). To evaluate the change in flux distribution at steady state and during the galactose transient, a stoichiometric model describing the aerobic metabolism of S. cerevisiae was set up for quantification of the metabolic fluxes. At t = 7 the flux entering the TCA cycle was low and acetate and ethanol started to be excreted to the extracellular medium. During recovery of cell growth the flux entering the TCA cycle increased again, and at t = 30 this flux exceeded the corresponding steady-state flux. During the pulse an enhanced level of Gal-1P was measured, which may be responsible for a toxic metabolic response in S. cerevisiae. The increase in the Gal-1P concentration is intensified by the low affinity of Gal7 towards Gal-1P and, hence, under the physiological conditions examined Gal7 seems to exert control over flux through the Leloir pathway.

Transcriptional control of the GAL/MEL regulon of yeast Saccharomyces cerevisiae: mechanism of galactose-mediated signal transduction

In the yeast Saccharomyces cerevisiae, the interplay between Gal3p, Gal80p and Gal4p determines the transcriptional status of the genes needed for galactose utilization. The interaction between Gal80p and Gal4p has been studied in great detail; however, our understanding of the mechanism of Gal3p in transducing the signal from galactose to Gal4p has only begun to emerge recently. Historically, Gal3p was believed to be an enzyme (catalytic model) that converts galactose to an inducer or co-inducer, which was thought to interact with GAL80p, the repressor of the system. However, recent genetic analyses indicate an alternative 'protein-protein interaction model'. According to this model, Gal3p is activated by galactose, which leads to its interaction with Gal80p. Biochemical and genetic experiments that support this model provided new insights into how Gal3p interacts with the Gal80p-Gal4p complex, alleviates the repression of Gal80p and thus allows Gal4p to activate transcription. Recently, a galactose-independent signal was suggested to co-ordinate the induction of GAL genes with the energy status of the cell.

The impact of GAL6, GAL80, and MIG1 on glucose control of the GAL system in Saccharomyces cerevisiae

The role of the proteins encoded by the GAL80 gene, the MIG1 gene and the GAL6 gene in glucose control of galactose consumption by Saccharomyces cerevisiae was studied by physiological characterisation of various GAL mutant strains. Dynamic experiments with the CEN.PK 113-7D wild-type strain and a deltagal80deltamig1 double-mutant strain in aerobic nitrogen-limited continuous cultivations at a dilution rate of 0.1 h(-1), showed simultaneous glucose and galactose consumption by the deltagal80deltamig1 strain. The wild-type strain did not consume galactose in the presence of glucose. Aerobic batch cultivations on glucose-galactose mixtures with the wild-type strain and with recombinant strains with a de-regulated GAL system (the deltagal80deltamig1 strain, a deltagal6 deleted strain, a deltagal6deltagal80deltamig1 triple mutant, and a deltagal6deltagal80deltamig1 triple mutant harbouring a GAL4 high-copy vector) were carried out. Generally, a reduction of glucose control lowered the maximum specific growth rate on glucose and increased the ethanol yield obtained on galactose with more than 100%. In contrast to the wild-type strain, the deltagal6deltagal80deltamig1 triple mutant strain consumed glucose and galactose simultaneously, and this strain also showed the highest ethanol production with an overall ethanol yield of 0.35 g g-1 sugar, which is 17% higher than the yield on glucose obtained with the wild-type strain. GAL80 and MIG1 were demonstrated to be responsible for the majority of the glucose control on the GAL system, whereas GAL6 has a minor role in glucose control. Deletion of GAL6 was shown to have a major impact on biomass and ethanol formation when cells were grown on galactose, and from the data obtained we speculate that Gal6 may be involved in mRNA degradation of the GAL gene transcripts.

Increasing galactose consumption by Saccharomyces cerevisiae through metabolic engineering of the GAL gene regulatory network

Increasing the flux through central carbon metabolism is difficult because of rigidity in regulatory structures, at both the genetic and the enzymatic levels. Here we describe metabolic engineering of a regulatory network to obtain a balanced increase in the activity of all the enzymes in the pathway, and ultimately, increasing metabolic flux through the pathway of interest. By manipulating the GAL gene regulatory network of Saccharomyces cerevisiae, which is a tightly regulated system, we produced prototroph mutant strains, which increased the flux through the galactose utilization pathway by eliminating three known negative regulators of the GAL system: Gal6, Gal80, and Mig1. This led to a 41% increase in flux through the galactose utilization pathway compared with the wild-type strain. This is of significant interest within the field of biotechnology since galactose is present in many industrial media. The improved galactose consumption of the gal mutants did not favor biomass formation, but rather caused excessive respiro-fermentative metabolism, with the ethanol production rate increasing linearly with glycolytic flux.

Yeast chromatin structure and regulation of GAL gene expression

Yeast genomic DNA is covered by nucleosome cores spaced by short, discrete length linkers. The short linkers, reinforced by novel histone properties, create a number of unique and dynamic nucleosome structural features in vivo: permanent unpeeling of DNA from the ends of the core, an inability to bind even full 147 bp core DNA lengths, and facility to undergo a conformational transition that resembles the changes found in active chromatin. These features probably explain how yeast can maintain most of its genome in a transcribable state and avoid large-scale packaging away of inactive genes. The GAL genes provide a closely regulated system in which to study gene-specific chromatin structure. GAL structural genes are inactive without galactose but are highly transcribed in its presence; the expression patterns of the regulatory genes can account for many of the features of GAL structural gene control. In the inactive state, GAL genes demonstrate a characteristic promoter chromosomal organization; the major upstream activation sequence (UASG) elements lie in open, hypersensitive regions, whereas the TATA and transcription start sites are in nucleosomes. This organization helps implement gene regulation in this state and may benefit the organism. Induction of GAL expression triggers Gal4p-dependent upstream nucleosome disruption. Disruption is transient and can readily be reversed by a Gal80p-dependent nucleosome deposition process. Both are sensitive to the metabolic state of the cell. Induction triggers different kinds of nucleosome changes on the coding sequences, perhaps reflecting the differing roles of nucleosomes on coding versus promoter regions. GAL gene activation is a complex process involving multiple Gal4p activities, numerous positive and negative cofactors, and the histone tails. DNA bending and chromosomal architecture of the promoter regions may also play a role in GAL regulation. Regulator-mediated competition between nucleosomes and the TATA binding protein complex for the TATA region is probably a central aspect of GAL regulation and a focal point for the numerous factors and processes that contribute to it.

Disruption of galactokinase signature sequence in gal3p of Saccharomyces cerevisiae does not lead to loss of signal transduction function

Gal3p of Saccharomyces cerevisiae is a 520-amino-acid residue protein, which activates the GAL genes in the presence of galactose by relieving the repression of Gal80p. It shows significant amino acid sequence homology to galactokinases but does not possess galactokinase activity. Deletion mutants of Gal3p were generated to identify the role of N-terminal amino acid residues required for function. The mutant versions of Gal3p could be detected on a Western blot. The Gal3p mutant lacking N-terminal 50-amino-acid residues which is disrupted for galactokinase signature sequence was found to be functional. These results suggest that the evolutionarily conserved galactokinase signature sequence present in known galactokinases may not have a role in Gal3p function.

Evidence for Gal3p's cytoplasmic location and Gal80p's dual cytoplasmic-nuclear location implicates new mechanisms for controlling Gal4p activity in Saccharomyces cerevisiae

Genetics and in vitro studies have shown that the direct interaction between Gal3p and Gal80p plays a central role in galactose-dependent Gal4p-mediated GAL gene expression in the yeast Saccharomyces cerevisiae. Precisely how Gal3p-Gal80p interaction effects induction is not clear. It has been assumed that Gal3p interacts with Gal80p in the nucleus upon galactose addition to release Gal80p inhibition of Gal4p. Although Gal80p has been shown to possess nuclear localization signal (NLS) peptides, the subcellular distribution of neither Gal80p nor Gal3p was previously determined. Here we report that Gal3p is located in the cytoplasm and apparently excluded from the nucleus. We show that Gal80p is located in both the cytoplasm and the nucleus. Converting Gal80p into a nucleus-localized protein (NLS-Gal80p) by exogenous NLS addition impairs GAL gene induction. The impaired induction can be partially suppressed by targeting Gal3p to the nucleus (NLS-Gal3p). We document a very rapid association between NLS-Gal3p and Gal80p in vivo in response to galactose, illustrating that the nuclear import of Gal80p is very rapid and efficient. We also demonstrate that nucleus-localized NLS-Gal80p can move out of the nucleus and shuttle between nuclei in yeast heterokaryons. These results are the first indication that the subcellular distribution dynamics of the Gal3 and Gal80 proteins play a role in regulating Gal4p-mediated GAL gene expression in vivo.

Multiple signals regulate GAL transcription in yeast

Gal4p activates transcription of the Saccharomyces GAL genes in response to galactose and is phosphorylated during interaction with the RNA polymerase II (Pol II) holoenzyme. One phosphorylation at S699 is necessary for full GAL induction and is mediated by Srb10p/CDK8 of the RNA Pol II holoenzyme mediator subcomplex. Gal4p S699 phosphorylation is necessary for sensitive response to inducer, and its requirement for GAL induction can be abrogated by high concentrations of galactose in strains expressing wild-type GAL2 and GAL3. Gal4p S699 phosphorylation occurs independently of Gal3p and is responsible for the long-term adaptation response observed in gal3 yeast. SRB10 and GAL3 are shown to represent parallel mechanisms for GAL gene induction. These results demonstrate that Gal4p activity is controlled by two independent signals: one that acts through Gal3p-galactose and a second that is mediated by the holoenzyme-associated cyclin-dependent kinase Srb10p. Since Srb10p is regulated independently of galactose, our results suggest a function for CDK8 in coordinating responses to specific inducers with the environment through the phosphorylation of gene-specific activators.

The insertion of two amino acids into a transcriptional inducer converts it into a galactokinase

The transcriptional induction of the GAL genes of Saccharomyces cerevisiae occurs when galactose and ATP interact with Gal3p. This protein-small molecule complex associates with Gal80p to relieve its inhibitory effect on the transcriptional activator Gal4p. Gal3p shares a high degree of sequence homology to galactokinase, Gal1p, but does not itself possess galactokinase activity. By constructing chimeric proteins in which regions of the GAL1 gene are inserted into the GAL3 coding sequence, we have been able to impart galactokinase activity upon Gal3p as judged in vivo and in vitro. Remarkably, the insertion of just two amino acids from Gal1p into the corresponding region of Gal3p confers galactokinase activity onto the resultant protein. The chimeric protein, termed Gal3p+SA, retains its ability to efficiently induce the GAL genes. Kinetic analysis of Gal3p+SA reveals that the K(m) for galactose is similar to that of Gal1p, but the K(m) for ATP is increased. The chimeric enzyme was found to have a decreased turnover number in comparison to Gal1p. These results are discussed in terms of both the mechanism of galactokinase function and that of transcriptional induction.

Vectors allowing amplified expression of the Saccharomyces cerevisiae Gal3p-Gal80p-Gal4p transcription switch: applications to galactose-regulated high-level production of proteins

The Gal4, Gal80, and Gal3 proteins of Saccharomyces cerevisiae constitute a galactose-responsive regulatory switch for GAL gene promoters. The low cellular levels of these proteins have hampered mechanistic studies and limit the utility of the GAL gene promoters for high-yield production of endogenous and exogenous proteins. We have constructed two new vectors, pMEGA2 and pMEGA2-DeltaURA3, that increase the level of the Gal4p-Gal80p-Gal3p switch proteins under conditions that preserve the Gal3p-Gal80p-Gal4p stoichiometries required for normal switch function. Cells carrying pMEGA2 show 15- to 20-fold more Gal4p and 30- to 40-fold more Gal3p and Gal80p than cells lacking pMEGA2. These high levels of Gal4p, Gal80p, and Gal3p do not perturb the integrity of galactose-inducible regulation. Cells that carry pMEGA2 exhibit normal galactose-induction kinetics for the chromosomal MEL1 gene expression and normal, albeit slower, log-phase growth. Insertion of the MEL1 gene into pMEGA2 provides a 24- to 30-fold increase in the Mel1 protein. Cells carrying a 2-microm-based URA3-selectable plasmid containing a GAL1pro:lacZ reporter gene and a second plasmid, pMEGA2-DeltaURA3, produce 12-fold more beta-galactosidase than cells carrying only the GAL1pro:lacZ reporter plasmid. The performance of the MEGA plasmids in providing amplified production of the Gal3, Gal80, and Gal4 proteins should prove useful in investigations of the mechanistic aspects of these transcription switch proteins and in work aimed at achieving high-level, galactose-regulatable production of proteins in yeast.

Analysis of the mechanism by which glucose inhibits maltose induction of MAL gene expression in Saccharomyces

Expression of the MAL genes required for maltose fermentation in Saccharomyces cerevisiae is induced by maltose and repressed by glucose. Maltose-inducible regulation requires maltose permease and the MAL-activator protein, a DNA-binding transcription factor encoded by MAL63 and its homologues at the other MAL loci. Previously, we showed that the Mig1 repressor mediates glucose repression of MAL gene expression. Glucose also blocks MAL-activator-mediated maltose induction through a Mig1p-independent mechanism that we refer to as glucose inhibition. Here we report the characterization of this process. Our results indicate that glucose inhibition is also Mig2p independent. Moreover, we show that neither overexpression of the MAL-activator nor elimination of inducer exclusion is sufficient to relieve glucose inhibition, suggesting that glucose acts to inhibit induction by affecting maltose sensing and/or signaling. The glucose inhibition pathway requires HXK2, REG1, and GSF1 and appears to overlap upstream with the glucose repression pathway. The likely target of glucose inhibition is Snf1 protein kinase. Evidence is presented indicating that, in addition to its role in the inactivation of Mig1p, Snf1p is required post-transcriptionally for the synthesis of maltose permease whose function is essential for maltose induction.

The Gal3p-Gal80p-Gal4p transcription switch of yeast: Gal3p destabilizes the Gal80p-Gal4p complex in response to galactose and ATP

The Gal3, Gal80, and Gal4 proteins of Saccharomyces cerevisiae comprise a signal transducer that governs the galactose-inducible Gal4p-mediated transcription activation of GAL regulon genes. In the absence of galactose, Gal80p binds to Gal4p and prohibits Gal4p from activating transcription, whereas in the presence of galactose, Gal3p binds to Gal80p and relieves its inhibition of Gal4p. We have found that immunoprecipitation of full-length Gal4p from yeast extracts coprecipitates less Gal80p in the presence than in the absence of Gal3p, galactose, and ATP. We have also found that retention of Gal80p by GSTG4AD (amino acids [aa] 768 to 881) is markedly reduced in the presence compared to the absence of Gal3p, galactose, and ATP. Consistent with these in vitro results, an in vivo two-hybrid genetic interaction between Gal80p and Gal4p (aa 768 to 881) was shown to be weaker in the presence than in the absence of Gal3p and galactose. These compiled results indicate that the binding of Gal3p to Gal80p results in destabilization of a Gal80p-Gal4p complex. The destabilization was markedly higher for complexes consisting of G4AD (aa 768 to 881) than for full-length Gal4p, suggesting that Gal80p relocated to a second site on full-length Gal4p. Congruent with the idea of a second site, we discovered a two-hybrid genetic interaction involving Gal80p and the region of Gal4p encompassing aa 225 to 797, a region of Gal4p linearly remote from the previously recognized Gal80p binding peptide within Gal4p aa 768 to 881.