Role of GCR2 in transcriptional activation of yeast glycolytic genes

Exploration and characterization of hypoxia-inducible endogenous promoters in Aspergillus niger

Aspergillus niger is widely used for the efficient production of organic acids and enzyme preparations. However, this organism lacks basic genetic elements for dynamic control, especially inducible promoters that can respond to specific environmental signals. Since these are desirable for better adaptation of fermentation to large-scale industrial production, herein, we have identified the two first hypoxia-inducible promoters in A. niger, PsrbB and PfhbA. Their performance under high or low oxygen conditions was monitored using two reporter proteins, green fluorescent protein (EGFP) and β-glucuronidase (GUS). For comparison, basal expression of the general strong promoter PgpdA was lower than PsrbB but higher than PfhbA. However, under hypoxia, both promoters showed higher expression than under hyperoxia, and these values were also higher than those observed for PgpdA. For PsrbB, strength under hypoxia was ~2-3 times higher than under hyperoxia (for PfhbA, 3-9 times higher) and ~2.5-5 times higher than for PgpdA (for PfhbA, 2-3 times higher). Promoter truncation analysis showed that the PsrbB fragment -1024 to -588 bp is the core region that determines hypoxia response. KEY POINTS: The first identification of two hypoxia-inducible promoters in A. niger is a promising tool for modulation of target genes under hypoxia. Two reporter genes revealed a different activity and responsiveness to hypoxia of PfhbA and PsrbB promoters, which is relevant for the development of dynamic metabolic regulation of A. niger fermentation. PsrbB promoter truncation and bioinformatics analysis is the foundation for further research.

Transcriptomic Changes Induced by Deletion of Transcriptional Regulator GCR2 on Pentose Sugar Metabolism in Saccharomyces cerevisiae

Being a microbial host for lignocellulosic biofuel production, Saccharomyces cerevisiae needs to be engineered to express a heterologous xylose pathway; however, it has been challenging to optimize the engineered strain for efficient and rapid fermentation of xylose. Deletion of PHO13 (Δpho13) has been reported to be a crucial genetic perturbation in improving xylose fermentation. A confirmed mechanism of the Δpho13 effect on xylose fermentation is that the Δpho13 transcriptionally activates the genes in the non-oxidative pentose phosphate pathway (PPP). In the current study, we found a couple of engineered strains, of which phenotypes were not affected by Δpho13 (Δpho13-negative), among many others we examined. Genome resequencing of the Δpho13-negative strains revealed that a loss-of-function mutation in GCR2 was responsible for the phenotype. Gcr2 is a global transcriptional factor involved in glucose metabolism. The results of RNA-seq confirmed that the deletion of GCR2 (Δgcr2) led to the upregulation of PPP genes as well as downregulation of glycolytic genes, and changes were more significant under xylose conditions than those under glucose conditions. Although there was no synergistic effect between Δpho13 and Δgcr2 in improving xylose fermentation, these results suggested that GCR2 is a novel knockout target in improving lignocellulosic ethanol production.

Metabolic Changes Induced by Deletion of Transcriptional Regulator GCR2 in Xylose-Fermenting Saccharomyces cerevisiae

Glucose repression has been extensively studied in Saccharomyces cerevisiae, including the regulatory systems responsible for efficient catabolism of glucose, the preferred carbon source. However, how these regulatory systems would alter central metabolism if new foreign pathways are introduced is unknown, and the regulatory networks between glycolysis and the pentose phosphate pathway, the two major pathways in central carbon metabolism, have not been systematically investigated. Here we disrupted gcr2, a key transcriptional regulator, in S. cerevisiae strain SR7 engineered to heterologously express the xylose-assimilating pathway, activating genes involved in glycolysis, and evaluated the global metabolic changes. gcr2 deletion reduced cellular growth in glucose but significantly increased growth when xylose was the sole carbon source. Global metabolite profiling revealed differential regulation of yeast metabolism in SR7-gcr2Δ, especially carbohydrate and nucleotide metabolism, depending on the carbon source. In glucose, the SR7-gcr2Δ mutant showed overall decreased abundance of metabolites, such as pyruvate and sedoheptulose-7-phosphate, associated with central carbon metabolism including glycolysis and the pentose phosphate pathway. However, SR7-gcr2Δ showed an increase in metabolites abundance (ribulose-5-phosphate, sedoheptulose-7-phosphate, and erythrose-4-phosphate) notably from the pentose phosphate pathway, as well as alteration in global metabolism when compared to SR7. These results provide insights into how the regulatory system GCR2 coordinates the transcription of glycolytic genes and associated metabolic pathways.

Quantitative analysis of transcription factor binding and expression using calling cards reporter arrays

We report a tool, Calling Cards Reporter Arrays (CCRA), that measures transcription factor (TF) binding and the consequences on gene expression for hundreds of synthetic promoters in yeast. Using Cbf1p and MAX, we demonstrate that the CCRA method is able to detect small changes in binding free energy with a sensitivity comparable to in vitro methods, enabling the measurement of energy landscapes in vivo. We then demonstrate the quantitative analysis of cooperative interactions by measuring Cbf1p binding at synthetic promoters with multiple sites. We find that the cooperativity between Cbf1p dimers varies sinusoidally with a period of 10.65 bp and energetic cost of 1.37 K_BT for sites that are positioned ‘out of phase’. Finally, we characterize the binding and expression of a group of TFs, Tye7p, Gcr1p and Gcr2p, that act together as a ‘TF collective’, an important but poorly characterized model of TF cooperativity. We demonstrate that Tye7p often binds promoters without its recognition site because it is recruited by other collective members, whereas these other members require their recognition sites, suggesting a hierarchy where these factors recruit Tye7p but not vice versa. Our experiments establish CCRA as a useful tool for quantitative investigations into TF binding and function.

Cross-stress resistance in Saccharomyces cerevisiae yeast--new insight into an old phenomenon

Acquired stress resistance is the result of mild stress causing the acquisition of resistance to severe stress of the same or a different type. The mechanism of "same-stress" resistance (resistance to a second, strong stress after mild primary stress of the same type) probably depends on the activation of defense and repair mechanisms specific for a particular type of stress, while cross-stress resistance (i.e., resistance to a second, strong stress after a different type of mild primary stress) is the effect of activation of both a specific and general stress response program, which in Saccharomyces cerevisiae yeast is known as the environmental stress response (ESR). Advancements in research techniques have made it possible to study the mechanism of cross-stress resistance at various levels of cellular organization: stress signal transduction pathways, regulation of gene expression, and transcription or translation processes. As a result of this type of research, views on the cross-stress protection mechanism have been reconsidered. It was originally thought that cross-stress resistance, irrespective of the nature of the two stresses, was determined by universal mechanisms, i.e., the same mechanisms within the general stress response. They are now believed to be more specific and strictly dependent on the features of the first stress.

Contribution of network connectivity in determining the relationship between gene expression and metabolite concentration changes

One of the primary mechanisms through which a cell exerts control over its metabolic state is by modulating expression levels of its enzyme-coding genes. However, the changes at the level of enzyme expression allow only indirect control over metabolite levels, for two main reasons. First, at the level of individual reactions, metabolite levels are non-linearly dependent on enzyme abundances as per the reaction kinetics mechanisms. Secondly, specific metabolite pools are tightly interlinked with the rest of the metabolic network through their production and consumption reactions. While the role of reaction kinetics in metabolite concentration control is well studied at the level of individual reactions, the contribution of network connectivity has remained relatively unclear. Here we report a modeling framework that integrates both reaction kinetics and network connectivity constraints for describing the interplay between metabolite concentrations and mRNA levels. We used this framework to investigate correlations between the gene expression and the metabolite concentration changes in Saccharomyces cerevisiae during its metabolic cycle, as well as in response to three fundamentally different biological perturbations, namely gene knockout, nutrient shock and nutrient change. While the kinetic constraints applied at the level of individual reactions were found to be poor descriptors of the mRNA-metabolite relationship, their use in the context of the network enabled us to correlate changes in the expression of enzyme-coding genes to the alterations in metabolite levels. Our results highlight the key contribution of metabolic network connectivity in mediating cellular control over metabolite levels, and have implications towards bridging the gap between genotype and metabolic phenotype.

Quantitative- and phospho-proteomic analysis of the yeast response to the tyrosine kinase inhibitor imatinib to pharmacoproteomics-guided drug line extension

Imatinib mesylate (IM) is a potent tyrosine kinase inhibitor used as front-line therapy in chronic myeloid leukemia, a disease caused by the oncogenic kinase Bcr-Abl. Although the clinical success of IM set a new paradigm in molecular-targeted therapy, the emergence of IM resistance is a clinically significant problem. In an effort to obtain new insights into the mechanisms of adaptation and tolerance to IM, as well as the signaling pathways potentially affected by this drug, we performed a two-dimensional electrophoresis-based quantitative- and phospho-proteomic analysis in the eukaryotic model Saccharomyces cerevisiae. We singled out proteins that were either differentially expressed or differentially phosphorylated in response to IM, using the phosphoselective dye Pro-Q(®) Diamond, and identified 18 proteins in total. Ten were altered only at the content level (mostly decreased), while the remaining 8 possessed IM-repressed phosphorylation. These 18 proteins are mainly involved in cellular carbohydrate processes (glycolysis/gluconeogenesis), translation, protein folding, ion homeostasis, and nucleotide and amino acid metabolism. Remarkably, all 18 proteins have human functional homologs. A role for HSP70 proteins in the response to IM, as well as decreased glycolysis as a metabolic marker of IM action are suggested, consistent with findings from studies in human cell lines. The previously-proposed effect of IM as an inhibitor of vacuolar H(+)-ATPase function was supported by the identification of an underexpressed protein subunit of this complex. Taken together, these findings reinforce the role of yeast as a valuable eukaryotic model for pharmacological studies and identification of new drug targets, with potential clinical implications in drug reassignment or line extension under a personalized medicine perspective.

Inferring Transcriptional Interactions by the Optimal Integration of ChIP-chip and Knock-out Data

How to combine heterogeneous data sources for reliable prediction of transcriptional regulation is a challenge. Here we present an easy but powerful method to integrate Chromatin immunoprecipitation (ChIP)-chip and knock-out data. Since these two types of data provide complementary (physical and functional) information about transcription, the method combining them is expected to achieve high detection rates and very low false positive rates. We try to seek the optimal integration of these two data using hyper-geometric distribution. We evaluate our method on yeast data and compare our predictions with YEASTRACT, high-quality ChIP-chip data, and literature. The results show that even using low-quality ChIP-chip data, our method uncovers more relations than those inferred before from high-quality data. Furthermore our method achieves a low false positive rate. We find experimental and computational evidence in literature for most transcription factor (TF)-gene relations uncovered by our method.

Transcriptional regulation of carbohydrate metabolism in the human pathogen Candida albicans

Glycolysis is a metabolic pathway that is central to the assimilation of carbon for either respiration or fermentation and therefore is critical for the growth of all organisms. Consequently, glycolytic transcriptional regulation is important for the metabolic flexibility of pathogens in their attempts to colonize diverse niches. We investigated the transcriptional control of carbohydrate metabolism in the human fungal pathogen Candida albicans and identified two factors, Tye7p and Gal4p, as key regulators of glycolysis. When respiration was inhibited or oxygen was limited, a gal4tye7 C. albicans strain showed a severe growth defect when cultured on glucose, fructose or mannose as carbon sources. The gal4tye7 strain displayed attenuated virulence in both Galleria and mouse models as well, supporting the connection between pathogenicity and metabolism. Chromatin immunoprecipitation coupled with microarray analysis (ChIP-CHIP) and transcription profiling revealed that Tye7p bound the promoter sequences of the glycolytic genes and activated their expression during growth on either fermentable or non-fermentable carbon sources. Gal4p also bound the glycolytic promoter sequences and activated the genes although to a lesser extent than Tye7p. Intriguingly, binding and activation by Gal4p was carbon source-dependent and much stronger during growth on media containing fermentable sugars than on glycerol. Furthermore, Tye7p and Gal4p were responsible for the complete induction of the glycolytic genes under hypoxic growth conditions. Tye7p and Gal4p also regulated unique sets of carbohydrate metabolic genes; Tye7p bound and activated genes involved in trehalose, glycogen, and glycerol metabolism, while Gal4p regulated the pyruvate dehydrogenase complex. This suggests that Tye7p represents the key transcriptional regulator of carbohydrate metabolism in C. albicans and Gal4p provides a carbon source-dependent fine-tuning of gene expression while regulating the metabolic flux between respiration and fermentation pathways.

Pathogens must be able to assimilate the carbon sources in their environment to generate sufficient energy and metabolites to survive. Since glycolysis is a central metabolic pathway, it is important for this metabolic flexibility. The most commonly isolated agent in human fungal infections, Candida albicans, depends upon glycolysis for the progression of systemic disease. We investigated glycolytic transcriptional regulation in C. albicans and defined two key regulators of the pathway, Tye7p and Gal4p. We demonstrated that these factors are important for the fermentative growth of C. albicans both in vitro and in vivo and also regulate the input and output fluxes of glycolysis. The gal4tye7 strain showed attenuated virulence in a Galleria and two mouse models, potentially due to the severe growth defect in oxygen-limiting environments. Gal4p and Tye7p represent fungal specific regulators involved in the pathogenicity of the organism that may be exploited in the development of antifungal treatments. Our study describes a fungal glycolytic transcriptional circuit that is fundamentally different from that of the model yeast Saccharomyces cerevisiae, providing further evidence that the transcriptional networks in S. cerevisiae need not be generally representative of the fungal kingdom.

An improved map of conserved regulatory sites for Saccharomyces cerevisiae

Background

The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae was recently published using six motif discovery programs to analyze genome-wide chromatin immunoprecipitation data for 203 transcription factors. The programs were used to identify sequence motifs that were likely to correspond to the DNA-binding specificity of the immunoprecipitated proteins. We report improved versions of two conservation-based motif discovery algorithms, PhyloCon and Converge. Using these programs, we create a refined regulatory map for S. cerevisiae by reanalyzing the same chromatin immunoprecipitation data.

Results

Applying the same conservative criteria that were applied in the original study, we find that PhyloCon and Converge each separately discover more known specificities than the combination of all six programs in the previous study. Combining the results of PhyloCon and Converge, we discover significant sequence motifs for 36 transcription factors that were previously missed. The new set of motifs identifies 636 more regulatory interactions than the previous one. The new network contains 28% more regulatory interactions among transcription factors, evidence of greater cross-talk between regulators.

Conclusion

Combining two complementary computational strategies for conservation-based motif discovery improves the ability to identify the specificity of transcriptional regulators from genome-wide chromatin immunoprecipitation data. The increased sensitivity of these methods significantly expands the map of yeast regulatory sites without the need to alter any of the thresholds for statistical significance. The new map of regulatory sites reveals a more elaborate and complex view of the yeast genetic regulatory network than was observed previously.

Trehalose, glycogen and ethanol metabolism in the gcr1 mutant of Saccharomyces cerevisiae

Since Gcr1p is pivotal in controlling the transcription of glycolytic enzymes and trehalose metabolism seems to be one of the control points of glycolysis, we examined trehalose and glycogen synthesis in response to 2% glucose pulse during batch growth in gcr1 (glucose regulation-1) mutant lacking fully functional glycolytic pathway and in the wild-type strain. An increase in both trehalose and glycogen stores was observed 1 and 2 h after the pulse followed by a steady decrease in both the wild-type and the gcr1 mutant. The accumulation was faster while the following degradation was slower in gcr1 cells compared to wild-type ones. Although there was no distinct glucose consumption in the mutant cells it seemed that the glucose repression mechanism is similar in gcr1 mutant and in wild-type strain at least with respect to trehalose and glycogen metabolism.

The Saccharomyces cerevisiae 14-3-3 protein Bmh2 is required for regulation of the phosphorylation status of Fin1, a novel intermediate filament protein

In order to identify proteins that interact with Bmh2, a yeast member of the 14-3-3 protein family, we performed a two-hybrid screening using LexA-Bmh2 as bait. We identified Fin1, a novel intermediate filament protein, as the protein that showed the highest degree of interaction. We also identified components of the vesicular transport machinery such as Gic2 and Msb3, proteins involved in transcriptional regulation such as Mbf1, Gcr2 and Reg2, and a variety of other different proteins (Ppt1, Lre1, Rps0A and Ylr177w). We studied the interaction between Bmh2 and Fin1 in more detail and found that Bmh2 only interacted with phosphorylated forms of Fin1. In addition, we showed that Glc7, the catalytic subunit of the protein phosphatase 1 complex, was also able to interact with Fin1.

Suppression of pdc2 regulating pyruvate decarboxylase synthesis in yeast

Mutants lacking pyruvate decarboxylase cannot grow on glucose. We have isolated three different complementation groups of extragenic suppressors that suppress mutations in pdc2, a regulatory locus required for the synthesis of the glycolytic enzyme pyruvate decarboxylase. The most frequent of these is a recessive mutation in the structural gene PFK1 of the soluble phosphofructokinase. The other class XSP18 (extragenic suppressor of pdc2) is a dominant temperature-sensitive suppressor that allows the cells to grow on glucose only at 30 degrees but not at 36 degrees. It also affects the normal induction of the glucose-inducible enolase 2, which can be rescued by providing a copy of wild-type xsp18 in trans-heterozygotes. The pyruvate decarboxylase activity in the triple mutant pdc2 pfk1 XSP18 is nearly equal to the sum of the activities in the two double mutants pdc2 pfk1 and pdc2 XSP18, respectively. This implies that the two suppressors act through independent pathways or that there is no cooperativity between them. In the pdc2 pfk1 XSP18, strain, pfk1 suppresses the loss of induction of glucose-inducible enolase 2 brought about by XSP18 but fails to rescue temperature sensitivity. The third class (xsp37) supports the growth of the pdc2 mutant on glucose but fails to support growth on gluconeogenic carbon sources. All the three suppressors suppress pdc2 delta as well and act on PDC1 at the level of transcription.

Activation mechanism of the multifunctional transcription factor repressor-activator protein 1 (Rap1p)

Transcriptional activation in eukaryotic organisms normally requires combinatorial interactions of multiple transcription factors. In most cases, the precise role played by each transcription factor is not known. The upstream activating sequence (UAS) elements of glycolytic enzyme genes in Saccharomyces cerevisiae are excellent model systems for the study of combinatorial interactions. The yeast protein known as Rap1p acts as both a transcriptional repressor and an activator, depending on sequence context. Rap1p-binding sites are found adjacent to Gcr1p-binding sites in the UAS elements of glycolytic enzyme genes. These UAS elements constitute some of the strongest activating sequences known in S. cerevisiae. In this study, we have investigated the relationship between Rap1p- and Gcr1p-binding sites and the proteins that bind them. In vivo DNA-binding studies with rap1ts mutant strains demonstrated that the inability of Rap1p to bind at its site resulted in the inability of Gcr1p to bind at adjacent binding sites. Synthetic oligonucleotides, modeled on the UAS element of PYK1, in which the relative positions of the Rap1p- and Gcr1p-binding sites were varied prepared and tested for their ability to function as UAS elements. The ability of the oligonucleotides to function as UAS elements was dependent not only on the presence of both binding sites but also on the relative distance between the binding sites. In vivo DNA-binding studies showed that the ability of Rap1p bind its site was independent of Gcr1p but that the ability of Gcr1p to bind its site was dependent on the presence of an appropriately spaced and bound Rap1p-binding site. In vitro binding studies showed Rap1p-enhanced binding of Gcr1p on oligonucleotides modeled after the native PYK1 UAS element but not when the Rap1p- and Gcr1p-binding sites were displaced by 5 nucleotides. This work demonstrates that the role of the Rap1p in the activation of glycolytic enzyme genes is to bind in their UAS elements and to facilitate the binding of Gcr1p at adjacent binding sites.

The GCR1 requirement for yeast glycolytic gene expression is suppressed by dominant mutations in the SGC1 gene, which encodes a novel basic-helix-loop-helix protein

The GCR1 gene product is required for maximal transcription of yeast glycolytic genes and for growth of yeast strains in media containing glucose as a carbon source. Dominant mutations in two genes, SGC1 and SGC2, as well as recessive mutations in the SGC5 gene were identified as suppressors of the growth and transcriptional defects caused by a gcr1 null mutation. The wild-type and mutant alleles of SGC1 were cloned and sequenced. The predicted amino acid sequence of the SGC1 gene product includes a region with substantial similarity to the basic-helix-loop-helix domain of the Myc family of DNA-binding proteins. The SGC1-1 dominant mutant allele contained a substitution of glutamine for a highly conserved glutamic acid residue within the putative basic DNA binding domain. A second dominant mutant, SGC1-2, contained a valine-for-isoleucine substitution within the putative loop region. The SGC1-1 dominant mutant suppressed the GCR1 requirement for enolase, glyceraldehyde-3-phosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, and pyruvate kinase gene expression. Expression of the yeast enolase genes was reduced three- to fivefold in strains carrying an sgc1 null mutation, demonstrating that SGC1 is required for maximal enolase gene expression. Expression of the enolase genes in strains carrying gcr1 and sgc1 double null mutations was substantially less than observed for strains carrying either null mutation alone, suggesting that GCR1 and SGC1 function on parallel pathways to activate yeast glycolytic gene expression.

The yeast co-activator GAL11 positively influences transcription of the phosphoglycerate kinase gene, but only when RAP1 is bound to its upstream activation sequence

Transcription of the yeast phosphoglycerate kinase gene (PGK) is activated by an array of nuclear factors including the multifunctional protein RAP1. We have demonstrated that the transcriptional co-activator GAL11, which was identified as an auxiliary factor to GAL4 and which is believed to interact with the zinc finger of the trans-activator, positively influences the level of PGK transcription on both fermentable and non-fermentable carbon sources. This positive effect is only observed when the RAP1 site in the upstream activation sequence (UAS) is present, implying that GAL11 acts through RAP1. Expression of the RAP1 gene is not reduced in the gal11 background, and in vivo footprinting shows that GAL11 does not influence RAP1 DNA-binding activity. Therefore the effect of GAL11 on PGK transcription must be mediated at the PGK UAS, presumably as part of the activation complex. It has been proposed that RAP1 may act as a facilitator of GCR1 binding at the PGK UAS and therefore it is conceivable that the target for GAL11 may in fact be GCR1. A further implication of this study is that GAL11 can interact with proteins such as RAP1 or GCR1 that are apparently structurally dissimilar from GAL4 and other zinc finger DNA-binding proteins.

Concerted action of the transcriptional activators REB1, RAP1, and GCR1 in the high-level expression of the glycolytic gene TPI

In Saccharomyces cerevisiae, the TPI gene product, triosephosphate isomerase, makes up about 2% of the soluble cellular protein. Using in vitro and in vivo footprinting techniques, we have identified four binding sites for three factors in the 5' noncoding region of TPI: a REB1-binding site located at positions -401 to -392, two GCR1-binding sites located at positions -381 to -366 and -341 to -326, and a RAP1-binding site located at positions -358 to -346. We tested the effects of mutations at each of these binding sites on the expression of a TPI::lacZ gene fusion which carried 853 bp of the TPI 5' noncoding region integrated at the URA3 locus. The REB1-binding site is dispensable when material 5' to it is deleted; however, if the sequence 5' to the REB1-binding site is from the TPI locus, expression is reduced fivefold when the site is mutated. Because REB1 blocks nucleosome formation, the most likely function of its binding site in the TPI controlling region is to prevent the formation of nucleosomes over the TPI upstream activation sequence. Mutations in the RAP1-binding site resulted in a 10-fold reduction in expression of the reporter gene. Mutating either GCR1-binding site alone had a modest effect on expression of the fusion. However, mutating both GCR1-binding sites resulted in a 68-fold reduction in the level of expression of the reporter gene. A LexA-GCR1 fusion protein containing the DNA-binding domain of LexA fused to the amino terminus of GCR1 was able to activate expression of a lex operator::GAL1::lacZ reporter gene 116-fold over background levels. From this experiment, we conclude that GCR1 is able to activate gene expression in the absence of REB1 or RAP1 bound at adjacent binding sites. On the basis of these results, we suggest that GCR1 binding is required for activation of TPI and other GCR1-dependent genes and that the primary role of other factors which bind adjacent to GCR1-binding sites is to facilitate of modulate GCR1 binding in vivo.

Concerted action of the transcriptional activators REB1, RAP1, and GCR1 in the high-level expression of the glycolytic gene TPI

In Saccharomyces cerevisiae, the TPI gene product, triosephosphate isomerase, makes up about 2% of the soluble cellular protein. Using in vitro and in vivo footprinting techniques, we have identified four binding sites for three factors in the 5' noncoding region of TPI: a REB1-binding site located at positions -401 to -392, two GCR1-binding sites located at positions -381 to -366 and -341 to -326, and a RAP1-binding site located at positions -358 to -346. We tested the effects of mutations at each of these binding sites on the expression of a TPI::lacZ gene fusion which carried 853 bp of the TPI 5' noncoding region integrated at the URA3 locus. The REB1-binding site is dispensable when material 5' to it is deleted; however, if the sequence 5' to the REB1-binding site is from the TPI locus, expression is reduced fivefold when the site is mutated. Because REB1 blocks nucleosome formation, the most likely function of its binding site in the TPI controlling region is to prevent the formation of nucleosomes over the TPI upstream activation sequence. Mutations in the RAP1-binding site resulted in a 10-fold reduction in expression of the reporter gene. Mutating either GCR1-binding site alone had a modest effect on expression of the fusion. However, mutating both GCR1-binding sites resulted in a 68-fold reduction in the level of expression of the reporter gene. A LexA-GCR1 fusion protein containing the DNA-binding domain of LexA fused to the amino terminus of GCR1 was able to activate expression of a lex operator::GAL1::lacZ reporter gene 116-fold over background levels. From this experiment, we conclude that GCR1 is able to activate gene expression in the absence of REB1 or RAP1 bound at adjacent binding sites. On the basis of these results, we suggest that GCR1 binding is required for activation of TPI and other GCR1-dependent genes and that the primary role of other factors which bind adjacent to GCR1-binding sites is to facilitate of modulate GCR1 binding in vivo.