Proline-independent binding of PUT3 transcriptional activator protein detected by footprinting in vivo

The novel repressor Rce2 competes with Ace3 to regulate cellulase gene expression in the filamentous fungus Trichoderma reesei

The filamentous fungus Trichoderma reesei is widely used for industrial cellulase production. In T. reesei, cellulase gene expression is tightly controlled by a regulatory network involving multiple transcription factors. Here, we isolated a novel protein, Rce2, using a pull-down assay and mass spectrometry analysis, from a partial carbon catabolite de-repression mutant, T. reesei Rut-C30, cultured under glucose-repressing conditions. Deletion and overexpression of Rce2 in T. reesei wild-type QM6a and mutant Rut-C30 revealed that Rce2 acts as a repressor of cellulase gene expression. DNase I footprinting assays, electrophoretic mobility shift assays, and chromatin immunoprecipitation assays revealed that Rce2 was located in the nucleus and bound to the consensus sequences 5'-(T/A)NNNNCCG-3' and 5'-CGGNNNN(T/A)-3' in the promoters of cellulase-related genes to repress their transcription. Additionally, Rce2 antagonized Ace3 binding to the cbh1 promoter to repress its transcription. However, Rce2 was not involved in Cre1-mediated carbon catabolite repression. These results demonstrate the mechanism through which Rce2 represses the expression of cellulase genes and provide novel insights into the regulatory system of cellulases and methods that can be used for the regulation of gene expression in T. reesei.

Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in Yeast

Cells react to extracellular perturbations with complex and intertwined responses. Systematic identification of the regulatory mechanisms that control these responses is still a challenge and requires tailored analyses integrating different types of molecular data. Here we acquired time-resolved metabolomics measurements in yeast under salt and pheromone stimulation and developed a machine learning approach to explore regulatory associations between metabolism and signal transduction. Existing phosphoproteomics measurements under the same conditions and kinase-substrate regulatory interactions were used to in silico estimate the enzymatic activity of signalling kinases. Our approach identified informative associations between kinases and metabolic enzymes capable of predicting metabolic changes. We extended our analysis to two studies containing transcriptomics, phosphoproteomics and metabolomics measurements across a comprehensive panel of kinases/phosphatases knockouts and time-resolved perturbations to the nitrogen metabolism. Changes in activity of transcription factors, kinases and phosphatases were estimated in silico and these were capable of building predictive models to infer the metabolic adaptations of previously unseen conditions across different dynamic experiments. Time-resolved experiments were significantly more informative than genetic perturbations to infer metabolic adaptation. This difference may be due to the indirect nature of the associations and of general cellular states that can hinder the identification of causal relationships. This work provides a novel genome-scale integrative analysis to propose putative transcriptional and post-translational regulatory mechanisms of metabolic processes.

Phosphorylation is a broad regulatory mechanism with implications in nearly all processes of the cell. However, a global understanding of possible regulatory mechanisms remains elusive. In this study, we examined the potential regulatory role of kinases, phosphatases and transcription-factors in yeast metabolism across a variety of steady-state and dynamic conditions. The main novelty of our analysis was to infer putative regulatory interactions from in silico estimated activity of transcription-factors and kinases/phosphatases. This provided functional information about the proteins important for the experimental conditions at hand that had not been uncovered before. We showed that activity profiles are predictive features to estimate metabolite changes in dynamic experiments, while the same was not visible in steady-state conditions. We also showed that dynamic experiments could be used to recapitulate and provide novel TFs-metabolite and K/Ps-metabolite regulatory associations. We believe these findings illustrates the usefulness of this approach for future integrative studies interested in studying metabolic regulation.

Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen

Steady-state and transiently perturbed nitrogen-limited chemostats show that nitrogen abundance is a primary signal controlling nitrogen-responsive gene expression. When cells experience an increase in nitrogen, some transcripts are rapidly degraded, suggesting that accelerated mRNA degradation contributes to remodeling of gene expression.

Cell growth rate is regulated in response to the abundance and molecular form of essential nutrients. In Saccharomyces cerevisiae (budding yeast), the molecular form of environmental nitrogen is a major determinant of cell growth rate, supporting growth rates that vary at least threefold. Transcriptional control of nitrogen use is mediated in large part by nitrogen catabolite repression (NCR), which results in the repression of specific transcripts in the presence of a preferred nitrogen source that supports a fast growth rate, such as glutamine, that are otherwise expressed in the presence of a nonpreferred nitrogen source, such as proline, which supports a slower growth rate. Differential expression of the NCR regulon and additional nitrogen-responsive genes results in >500 transcripts that are differentially expressed in cells growing in the presence of different nitrogen sources in batch cultures. Here we find that in growth rate–controlled cultures using nitrogen-limited chemostats, gene expression programs are strikingly similar regardless of nitrogen source. NCR expression is derepressed in all nitrogen-limiting chemostat conditions regardless of nitrogen source, and in these conditions, only 34 transcripts exhibit nitrogen source–specific differential gene expression. Addition of either the preferred nitrogen source, glutamine, or the nonpreferred nitrogen source, proline, to cells growing in nitrogen-limited chemostats results in rapid, dose-dependent repression of the NCR regulon. Using a novel means of computational normalization to compare global gene expression programs in steady-state and dynamic conditions, we find evidence that the addition of nitrogen to nitrogen-limited cells results in the transient overproduction of transcripts required for protein translation. Simultaneously, we find that that accelerated mRNA degradation underlies the rapid clearing of a subset of transcripts, which is most pronounced for the highly expressed NCR-regulated permease genes GAP1, MEP2, DAL5, PUT4, and DIP5. Our results reveal novel aspects of nitrogen-regulated gene expression and highlight the need for a quantitative approach to study how the cell coordinates protein translation and nitrogen assimilation to optimize cell growth in different environments.

Nucleo-cytoplasmic shuttling dynamics of the transcriptional regulators XYR1 and CRE1 under conditions of cellulase and xylanase gene expression in Trichoderma reesei

Trichoderma reesei is a model for investigating the regulation of (hemi-)cellulase gene expression. Cellulases are formed adaptively, and the transcriptional activator XYR1 and the carbon catabolite repressor CRE1 are main regulators of their expression. We quantified the nucleo-cytoplasmic shuttling dynamics of GFP-fusion proteins of both transcription factors under cellulase and xylanase inducing conditions, and correlated their nuclear presence/absence with transcriptional changes. We also compared their subcellular localization in conidial germlings and mature hyphae. We show that cellulase gene expression requires de novo biosynthesis of XYR1 and its simultaneous nuclear import, whereas carbon catabolite repression is regulated through preformed CRE1 imported from the cytoplasmic pool. Termination of induction immediately stopped cellulase gene transcription and was accompanied by rapid nuclear degradation of XYR1. In contrast, nuclear CRE1 rapidly decreased upon glucose depletion, and became recycled into the cytoplasm. In mature hyphae, nuclei containing activated XYR1 were concentrated in the colony center, indicating that this is the main region of XYR1 synthesis and cellulase transcription. CRE1 was found to be evenly distributed throughout the entire mycelium. Taken together, our data revealed novel aspects of the dynamic shuttling and spatial bias of the major regulator of (hemi-)cellulase gene expression, XYR1, in T. reesei.

Transcription factor binding to a DNA zip code controls interchromosomal clustering at the nuclear periphery

Active genes in yeast can be targeted to the nuclear periphery through interaction of cis-acting "DNA zip codes" with the nuclear pore complex. We find that genes with identical zip codes cluster together. This clustering was specific; pairs of genes that were targeted to the nuclear periphery by different zip codes did not cluster together. Insertion of two different zip codes (GRS I or GRS III) at an ectopic site induced clustering with endogenous genes that have that zip code. Targeting to the nuclear periphery and interaction with the nuclear pore is a prerequisite for gene clustering, but clustering can be maintained in the nucleoplasm. Finally, we find that the Put3 transcription factor recognizes the GRS I zip code to mediate both targeting to the NPC and interchromosomal clustering. These results suggest that zip-code-mediated clustering of genes at the nuclear periphery influences the three-dimensional arrangement of the yeast genome.

In silico analysis for transcription factors with Zn(II)(2)C(6) binuclear cluster DNA-binding domains in Candida albicans

A total of 6047 open reading frames in the Candida albicans genome were screened for Zn(II)₂C₆-type zinc cluster proteins (or binuclear cluster proteins) involved in DNA recognition. These fungal proteins are transcription regulators of genes involved in a wide range of cellular processes, including metabolism of different compounds such as sugars or amino acids, as well as multi-drug resistance, control of meiosis, cell wall architecture, etc. The selection criteria used in the sequence analysis were the presence of the CysX₂CysX₆CysX_5-16CysX₂CysX_6-8Cys motif and a putative nuclear localization signal. Using this approach, 70 putative Zn(II)₂C₆ transcription factors have been found in the genome of C. albicans.

Pushing the limits of what is achievable in protein-DNA docking: benchmarking HADDOCK's performance

The intrinsic flexibility of DNA and the difficulty of identifying its interaction surface have long been challenges that prevented the development of efficient protein-DNA docking methods. We have demonstrated the ability our flexible data-driven docking method HADDOCK to deal with these before, by using custom-built DNA structural models. Here we put our method to the test on a set of 47 complexes from the protein-DNA docking benchmark. We show that HADDOCK is able to predict many of the specific DNA conformational changes required to assemble the interface(s). Our DNA analysis and modelling procedure captures the bend and twist motions occurring upon complex formation and uses these to generate custom-built DNA structural models, more closely resembling the bound form, for use in a second docking round. We achieve throughout the benchmark an overall success rate of 94% of one-star solutions or higher (interface root mean square deviation ≤4 A and fraction of native contacts >10%) according to CAPRI criteria. Our improved protocol successfully predicts even the challenging protein-DNA complexes in the benchmark. Finally, our method is the first to readily dock multiple molecules (N > 2) simultaneously, pushing the limits of what is currently achievable in the field of protein-DNA docking.

Mutation of a phosphorylatable residue in Put3p affects the magnitude of rapamycin-induced PUT1 activation in a Gat1p-dependent manner

Saccharomyces cerevisiae can utilize high quality (e.g. glutamine and ammonia) as well as low quality (e.g. gamma-amino butyric acid and proline) nitrogen sources. The transcriptional activator Put3p allows yeast cells to utilize proline as a nitrogen source through expression of the PUT1 and PUT2 genes. Put3p activates high level transcription of these genes by binding proline directly. However, Put3p also responds to other lower quality nitrogen sources. As nitrogen quality decreases, Put3p exhibits an increase in phosphorylation concurrent with an increase in PUT gene expression. The proline-independent activation of the PUT genes requires both Put3p and the positively acting GATA factors, Gln3p and Gat1p. Conversely, the phosphorylation of Put3p is not dependent on GATA factor activity. Here, we find that the mutation of Put3p at amino acid Tyr-788 modulates the proline-independent activation of PUT1 through Gat1p. The phosphorylation of Put3p appears to influence the association of Gat1p, but not Gln3p, to the PUT1 promoter. Combined, our findings suggest that this may represent a mechanism through which yeast cells rapidly adapt to use proline as a nitrogen source under nitrogen limiting conditions.

PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny

A central problem in the bioinformatics of gene regulation is to find the binding sites for regulatory proteins. One of the most promising approaches toward identifying these short and fuzzy sequence patterns is the comparative analysis of orthologous intergenic regions of related species. This analysis is complicated by various factors. First, one needs to take the phylogenetic relationship between the species into account in order to distinguish conservation that is due to the occurrence of functional sites from spurious conservation that is due to evolutionary proximity. Second, one has to deal with the complexities of multiple alignments of orthologous intergenic regions, and one has to consider the possibility that functional sites may occur outside of conserved segments. Here we present a new motif sampling algorithm, PhyloGibbs, that runs on arbitrary collections of multiple local sequence alignments of orthologous sequences. The algorithm searches over all ways in which an arbitrary number of binding sites for an arbitrary number of transcription factors (TFs) can be assigned to the multiple sequence alignments. These binding site configurations are scored by a Bayesian probabilistic model that treats aligned sequences by a model for the evolution of binding sites and "background" intergenic DNA. This model takes the phylogenetic relationship between the species in the alignment explicitly into account. The algorithm uses simulated annealing and Monte Carlo Markov-chain sampling to rigorously assign posterior probabilities to all the binding sites that it reports. In tests on synthetic data and real data from five Saccharomyces species our algorithm performs significantly better than four other motif-finding algorithms, including algorithms that also take phylogeny into account. Our results also show that, in contrast to the other algorithms, PhyloGibbs can make realistic estimates of the reliability of its predictions. Our tests suggest that, running on the five-species multiple alignment of a single gene's upstream region, PhyloGibbs on average recovers over 50% of all binding sites in S. cerevisiae at a specificity of about 50%, and 33% of all binding sites at a specificity of about 85%. We also tested PhyloGibbs on collections of multiple alignments of intergenic regions that were recently annotated, based on ChIP-on-chip data, to contain binding sites for the same TF. We compared PhyloGibbs's results with the previous analysis of these data using six other motif-finding algorithms. For 16 of 21 TFs for which all other motif-finding methods failed to find a significant motif, PhyloGibbs did recover a motif that matches the literature consensus. In 11 cases where there was disagreement in the results we compiled lists of known target genes from the literature, and found that running PhyloGibbs on their regulatory regions yielded a binding motif matching the literature consensus in all but one of the cases. Interestingly, these literature gene lists had little overlap with the targets annotated based on the ChIP-on-chip data. The PhyloGibbs code can be downloaded from http://www.biozentrum.unibas.ch/~nimwegen/cgi-bin/phylogibbs.cgi or http://www.imsc.res.in/~rsidd/phylogibbs. The full set of predicted sites from our tests on yeast are available at http://www.swissregulon.unibas.ch.

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.

Transcriptional regulatory code of a eukaryotic genome

DNA-binding transcriptional regulators interpret the genome's regulatory code by binding to specific sequences to induce or repress gene expression. Comparative genomics has recently been used to identify potential cis-regulatory sequences within the yeast genome on the basis of phylogenetic conservation, but this information alone does not reveal if or when transcriptional regulators occupy these binding sites. We have constructed an initial map of yeast's transcriptional regulatory code by identifying the sequence elements that are bound by regulators under various conditions and that are conserved among Saccharomyces species. The organization of regulatory elements in promoters and the environment-dependent use of these elements by regulators are discussed. We find that environment-specific use of regulatory elements predicts mechanistic models for the function of a large population of yeast's transcriptional regulators.

PrnA, a Zn2Cys6 activator with a unique DNA recognition mode, requires inducer for in vivo binding

The PrnA transcriptional activator of Aspergillus nidulans binds as a dimer to CCGG-N-CCGG inverted repeats and to CCGG-6/7N-CCGG direct repeats. The binding specificity of the PrnA Zn cluster differs from that of the Gal4p/Ppr1p/UaY/Put3p group of proteins. Chimeras with UaY, a protein that strictly recognizes a CGG-6N-CCG motif, show that the recognition of the direct repeats necessitates the PrnA dimerization and linker elements, but the recognition of the CCGG-N-CCGG inverted repeats depends crucially on the PrnA Zn binuclear cluster and/or on residues amino-terminal to it. Three high-affinity sites in two different promoters have been visualized by in vivo methylation protection. Proline induction is essential for in vivo binding to these three sites but, as shown previously, not for nuclear entry. Simultaneous repression by ammonium and glucose does not affect in vivo binding to these high-affinity sites. PrnA differs from the isofunctional Saccharomyces cerevisiae protein Put3p, both in its unique binding specificity and in the requirement of induction for in vivo DNA binding.

Nitrate and the GATA factor AreA are necessary for in vivo binding of NirA, the pathway-specific transcriptional activator of Aspergillus nidulans

In Aspergillus nidulans, the genes coding for nitrate reductase (niaD) and nitrite reductase (niiA), are transcribed divergently from a common promoter region of 1200 basepairs. We have previously characterized the relevant cis-acting elements for the two synergistically acting transcriptional activators NirA and AreA. We have further shown that AreA is constitutively bound to a central cluster of four GATA sites, and is involved in opening the chromatin structure over the promoter region thus making additional cis-acting binding sites accessible. Here we show that the asymmetric mode of NirA-DNA interaction determined in vitro is also found in vivo. Binding of the NirA transactivator is not constitutive as in other binuclear C6-Zn2+-cluster proteins but depends on nitrate induction and, additionally, on the presence of a wild-type areA allele. Dissecting the role of AreA further, we found that it is required for intracellular nitrate accumulation and therefore could indirectly exert its effect on NirA via inducer exclusion. We have tested this possibility in a strain accumulating nitrate in the absence of areA. We found that in such a strain the intracellular presence of inducer is not sufficient to promote either chromatin rearrangement or NirA binding, implying that both processes are directly dependent on AreA.

Conformational changes play a role in regulating the activity of the proline utilization pathway-specific regulator in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, the ability to use proline as a nitrogen source requires the Put3p transcriptional regulator, which turns on the expression of the proline utilization genes, PUT1 and PUT2, in the presence of the inducer proline and in the absence of preferred nitrogen sources. Changes in target gene expression occur through an alteration in activity of the DNA-bound Put3p, a member of the Zn(II)2Cys6 binuclear cluster family of proteins. Here, we report that the 'on' conformation can be mimicked in the absence of proline by the insertion of an epitope tag in several different places in the protein, as well as by specific amino acid changes that suppress a put3 mutation leading to non-inducibility of the pathway. In addition, the presence of proline causes a conformational change in the Put3 protein detected by increased sensitivity to thrombin or V8 protease. These findings suggest that Put3p shifts from an inactive to an activate state via conformational changes.

The role of ammonia metabolism in nitrogen catabolite repression in Saccharomyces cerevisiae

Saccharomyces cerevisiae is able to use a wide variety of nitrogen sources for growth. Not all nitrogen sources support growth equally well. In order to select the best out of a large diversity of available nitrogen sources, the yeast has developed molecular mechanisms. These mechanisms consist of a sensing mechanism and a regulatory mechanism which includes induction of needed systems, and repression of systems that are not beneficial. The first step in use of most nitrogen sources is its uptake via more or less specific permeases. Hence the first level of regulation is encountered at this level. The next step is the degradation of the nitrogen source to useful building blocks via the nitrogen metabolic pathways. These pathways can be divided into routes that lead to the degradation of the nitrogen source to ammonia and glutamate, and routes that lead to the synthesis of nitrogen containing compounds in which glutamate and glutamine are used as nitrogen donor. Glutamine is synthesized out of ammonia and glutamate. The expression of the specific degradation routes is also regulated depending on the availability of a particular nitrogen source. Ammonia plays a central role as intermediate between degradative and biosynthetic pathways. It not only functions as a metabolite in metabolic reactions but is also involved in regulation of metabolic pathways at several levels. This review describes the central role of ammonia in nitrogen metabolism. This role is illustrated at the level of enzyme activity, translation and transcription.

Synergistic activation of transcription by physiologically unrelated transcription factors through cooperative DNA-binding

Most eukaryotic promoters contain binding sites for several different transcription factors, which often act synergistically. Mechanistically, synergy is ascribed either to cooperative DNA-binding of the factors to the promoter or to some type of "multiple contact" mechanism in which each activator performs a different task in stimulating the transcription machinery. Here, it is shown that the yeast activators Gal4 and Put3 bind to DNA cooperatively in vivo and can activate transcription synergistically from certain synthetic promoters. Normally, Gal4 and Put3 bind to completely different promoters and activate physiologically unrelated sets of genes and it is extremely unlikely that they have evolved direct protein-protein contacts. These studies add to a growing body of evidence that binding of proteins to nearby sites in chromatin is intrinsically cooperative and suggest that many examples of synergy ascribed to multiple contact mechanisms may instead involve non-traditional cooperative DNA-binding.

Crystal structure of a PUT3-DNA complex reveals a novel mechanism for DNA recognition by a protein containing a Zn2Cys6 binuclear cluster

PUT3 is a member of a family of at least 79 fungal transcription factors that contain a six-cysteine, two-zinc domain called a 'Zn2Cys6 binuclear cluster'. We have determined the crystal structure of the DNA binding region from the PUT3 protein bound to its cognate DNA target. The structure reveals that the PUT3 homodimer is bound asymmetrically to the DNA site. This asymmetry orients a beta-strand from one protein subunit into the minor groove of the DNA resulting in a partial amino acid-base pair intercalation and extensive direct and water-mediated protein interactions with the minor groove of the DNA. These interactions facilitate a sequence dependent kink at the centre of the DNA site and specify the intervening base pairs separating two DNA half-sites that are contacted in the DNA major groove. A comparison with the GAL4-DNA and PPR1-DNA complexes shows how a family of related DNA binding proteins can use a diverse set of mechanisms to discriminate between the base pairs separating conserved DNA half-sites.

Evolution of a fungal regulatory gene family: the Zn(II)2Cys6 binuclear cluster DNA binding motif

The coevolution of DNA binding proteins and their cognate binding sites is essential for the maintenance of function. As a result, comparison of DNA binding proteins of unknown function in one species with characterized DNA binding proteins in another can identify potential targets and functions. The Zn(II)2Cys6 (or C6 zinc) binuclear cluster DNA binding domain has thus far been identified exclusively in fungal proteins, generally transcriptional regulators, and there are more than 80 known or predicted proteins which contain this motif, the best characterized of which are GAL4, PPR1, LEU3, HAP1, LAC9, and PUT3. Here we review all known proteins containing the Zn(II)2Cys6 motif, along with their function, DNA binding, dimerization, and zinc(II) coordination properties and DNA binding sites. In addition, we have identified all of the Zn(II)2Cys6 motif-containing proteins in the sequence databases, including a large number with unknown function from the completed Saccharomyces cerevisiae and ongoing Schizosaccharomyces pombe genome projects, and examined the phylogenetic relationships of all the Zn(II)2Cys6 motifs from these proteins. Based on these relationships, we have assigned potential functions to a number of these unknown proteins.

Functional analysis of the PUT3 transcriptional activator of the proline utilization pathway in Saccharomyces cerevisiae

Proline can serve as a nitrogen source for the yeast Saccharomyces cerevisiae when preferred sources of nitrogen are absent from the growth medium. PUT3, the activator of the proline utilization pathway, is required for the transcription of the genes encoding the enzymes that convert proline to glutamate. PUT3 is a 979 amino acid protein that constitutively binds a short DNA sequence to the promoters of its target genes, but does not activate their expression in the absence of induction by proline and in the presence of preferred sources of nitrogen. To understand how PUT3 is converted from an inactive to an active state, a dissection of its functional domains has been undertaken. Biochemical and molecular tests, domain swapping experiments, and an analysis of activator-constitutive and activator-defective mutant proteins indicate that PUT3 is dimeric and activates transcription with its negatively charged carboxyterminus, which does not appear to contain a proline-responsive domain. A mutation in the conserved central domain found in many fungal activators interferes with activation without affecting DNA binding protein stability. Intragenic suppressors of the central domain mutation have been isolated and analyzed.

The roles of PUT3, URE2, and GLN3 regulatory proteins in the proline utilization pathway ofSaccharomyces cerevisiae

The yeast Saccharomyces cerevisiae can use alternative nitrogen sources such as allantoin, urea, γ-aminobutyrate, or proline when preferred nitrogen sources such as asparagine, glutamine, or ammonium ions are unavailable in the environment. To use proline as the sole nitrogen source, cells must activate the expression of the proline transporters and the genes that encode the catabolic enzymes proline oxidase (PUT1) and Δ1-pyrroline-5-carboxylate dehydrogenase (PUT2). Transcriptional activation of the PUT genes requires the PUT3 regulatory protein, proline, and relief from nitrogen repression. PUT3 is a 979 amino acid protein that binds a short DNA sequence in the promoters of PUT1 and PUT2, independent of the presence of proline. The functional domains of PUT3 have been studied by biochemical and molecular tests and analysis of activator-constitutive and activator-defective mutant proteins. Mutations in the URE2 gene relieve nitrogen repression, permitting inducer-independent transcription of the PUT genes in the presence of repressing nitrogen sources. The GLN3 protein that activates the expression of many genes in alternative nitrogen source pathways is not required for the expression of the PUT genes under inducing, derepressing conditions (proline) or noninducing, repressing conditions (ammonia). Although it has been speculated that the URE2 protein antagonizes the action of GLN3 in the regulation of many nitrogen assimilatory pathways, URE2 appears to act independently of GLN3 in the proline-utilization pathway. Key words: Saccharomyces cerevisiae, proline utilization, nitrogen repression.

From carpet bombing to cruise missiles: the 'second-order' mechanisms used by transcription factors to ensure specific DNA binding in vivo

Transcription factors generally have only modest specificity for their target sites, yet must find them in a sea of non-specific DNA. Some transcription factors are expressed at very high levels, to ensure that, despite losses to non-specific binding, the promoter is still occupied (the carpet-bombing strategy). Others increase their binding specificity by collaborating with other factors in a variety of ways.

UASNTR functioning in combination with other UAS elements underlies exceptional patterns of nitrogen regulation in Saccharomyces cerevisiae

UASNTR, the UAS responsible for nitrogen catabolite repression-sensitive transcriptional activation of many nitrogen catabolic genes in Saccharomyces cerevisiae, has been previously thought to operate only as a pair of closely related dodecanucleotide sites each containing the sequence GATAA at its core. Here we show that a single UASNTR the unrelated cis-acting element was TTTGTTTAC situated upstream of GLN1, while in another the cis-acting element was the one previously shown to bind the PUT3 protein. When a UASNTR site functions in combination with an unrelated site, the regulatory responses observed are a hybrid consisting of characteristics derived from both the UASNTR site and the unrelated site as well. These observations resolve several significant inconsistencies that have plagued studies focused on elucidation of the mechanisms involved in the global regulation of nitrogen catabolism.

Yeast transcription factors

Studies of yeast transcription factors have contributed greatly to understanding basic molecular mechanisms of eukaryotic gene regulation, largely due to powerful genetic approaches that are unavailable in other organisms. The broad outlines of these mechanisms are fairly well understood, and there is an increasing number of examples where detailed information is available.

The AP-1 site and the cAMP- and serum response elements of the c-fos gene are constitutively occupied in vivo

The c-fos proto-oncogene is inducible by cAMP, phorbol esters, serum, and growth factors. The induction by cAMP is mediated by the conserved cAMP response element (CRE), while induction by phorbol esters, serum, and growth factors requires a distal element called the serum response element (SRE). In addition to these elements, a consensus AP-1 transcription factor binding site is located next to SRE. Upstream regions of the mouse and human c-fos genes were footprinted in vivo by the ligation-mediated polymerase chain (PCR). Our results show that all three elements are constitutively protected in mouse liver and lung and in cultured human A431 cells. No major change in the protection profile was detected in A431 cells following stimulation with epidermal growth factor or in mice at birth, when c-fos is known to be induced. These results suggest that the inducible cis elements of the c-fos gene are poised, ready to respond immediately to external signals.