The level of DAL80 expression down-regulates GATA factor-mediated transcription in Saccharomyces cerevisiae

TorC1 and nitrogen catabolite repression control of integrated GABA shunt and retrograde pathway gene expression

Despite our detailed understanding of how the lower GABA shunt and retrograde genes are regulated, there is a paucity of validated information concerning control of GAD1, the glutamate decarboxylase gene which catalyzes the first reaction of the GABA shunt. Further, integration of glutamate degradation via the GABA shunt has not been investigated. Here, we show that while GAD1 shares a response to rapamycin-inhibition of the TorC1 kinase, it does so independently of the Gln3 and Gat1 NCR-sensitive transcriptional activators that mediate transcription of the lower GABA shunt genes. We also show that GABA shunt gene expression increases dramatically in response to nickel ions. The α-ketoglutarate needed for the GABA shunt to cycle, thereby producing reduced pyridine nucleotides, derives from the retrograde pathway as shown by a similar high increase in the retrograde reporter, CIT2 when nickel is present in the medium. These observations demonstrate high integration of the GABA shunt, retrograde, peroxisomal glyoxylate cycle, and β-oxidation pathways.

Unravelling the transcriptional regulation of Saccharomyces cerevisiae UGA genes: the dual role of transcription factor Leu3

Yeast cells can use γ-aminobutyric acid (GABA), a non-protein amino acid, as a nitrogen source that is mainly imported by the permease Uga4 and catabolized by the enzymes GABA transaminase and succinate-semialdehyde dehydrogenase, encoded by the UGA1 and UGA2 genes, respectively. The three UGA genes are inducible by GABA and subject to nitrogen catabolite repression. Hence, their regulation occurs through two mechanisms, one dependent on the inducer and the other on nitrogen source quality. The aim of this work was to better understand the molecular mechanisms of transcription factors acting on different regulatory elements present in UGA promoters, such as Uga3, Dal81, Leu3 and the GATA factors, and to establish the mechanism of the concerted action between them. We found that Gat1 plays an important role in the induction of UGA4 transcription by GABA and that Gzf3 has an effect in cells grown in a poor nitrogen source such as proline and that this effect is positive on UGA4 expression. We also found that Gln3 and Dal80 affect the interaction of Uga3 and Dal81 on UGA promoters. Moreover, our results indicated that the repressing activity of Leu3 on UGA4 and UGA1 occurs through Dal80 since we demonstrated that Leu3 facilitates Dal80 interaction with DNA. However, when the expression of GATA factors is null or negligible, Leu3 functions as an activator.

General Amino Acid Control and 14-3-3 Proteins Bmh1/2 Are Required for Nitrogen Catabolite Repression-Sensitive Regulation of Gln3 and Gat1 Localization

Nitrogen catabolite repression (NCR), the ability of Saccharomyces cerevisiae to use good nitrogen sources in preference to poor ones, derives from nitrogen-responsive regulation of the GATA family transcription activators Gln3 and Gat1 In nitrogen-replete conditions, the GATA factors are cytoplasmic and NCR-sensitive transcription minimal. When only poor nitrogen sources are available, Gln3 is nuclear, dramatically increasing GATA factor-mediated transcription. This regulation was originally attributed to mechanistic Tor protein kinase complex 1 (mTorC1)-mediated control of Gln3 However, we recently showed that two regulatory systems act cumulatively to maintain cytoplasmic Gln3 sequestration, only one of which is mTorC1. Present experiments demonstrate that the other previously elusive component is uncharged transfer RNA-activated, Gcn2 protein kinase-mediated general amino acid control (GAAC). Gcn2 and Gcn4 are required for NCR-sensitive nuclear Gln3-Myc¹³ localization, and from epistasis experiments Gcn2 appears to function upstream of Ure2 Bmh1/2 are also required for nuclear Gln3-Myc¹³ localization and appear to function downstream of Ure2 Overall, Gln3 phosphorylation levels decrease upon loss of Gcn2, Gcn4, or Bmh1/2 Our results add a new dimension to nitrogen-responsive GATA-factor regulation and demonstrate the cumulative participation of the mTorC1 and GAAC pathways, which respond oppositely to nitrogen availability, in the nitrogen-responsive control of catabolic gene expression in yeast.

Premature termination of GAT1 transcription explains paradoxical negative correlation between nitrogen-responsive mRNA, but constitutive low-level protein production

The first step in executing the genetic program of a cell is production of mRNA. In yeast, almost every gene is transcribed as multiple distinct isoforms, differing at their 5′ and/or 3′ termini. However, the implications and functional significance of the transcriptome-wide diversity of mRNA termini remains largely unexplored. In this paper, we show that the GAT1 gene, encoding a transcriptional activator of nitrogen-responsive catabolic genes, produces a variety of mRNAs differing in their 5′ and 3′ termini. Alternative transcription initiation leads to the constitutive, low level production of 2 full length proteins differing in their N-termini, whereas premature transcriptional termination generates a short, highly nitrogen catabolite repression- (NCR-) sensitive transcript that, as far as we can determine, is not translated under the growth conditions we used, but rather likely protects the cell from excess Gat1.

Nuclear Gln3 Import Is Regulated by Nitrogen Catabolite Repression Whereas Export Is Specifically Regulated by Glutamine

Gln3, a transcription activator mediating nitrogen-responsive gene expression in Saccharomyces cerevisiae, is sequestered in the cytoplasm, thereby minimizing nitrogen catabolite repression (NCR)-sensitive transcription when cells are grown in nitrogen-rich environments. In the face of adverse nitrogen supplies, Gln3 relocates to the nucleus and activates transcription of the NCR-sensitive regulon whose products transport and degrade a variety of poorly used nitrogen sources, thus expanding the cell's nitrogen-acquisition capability. Rapamycin also elicits nuclear Gln3 localization, implicating Target-of-rapamycin Complex 1 (TorC1) in nitrogen-responsive Gln3 regulation. However, we long ago established that TorC1 was not the sole regulatory system through which nitrogen-responsive regulation is achieved. Here we demonstrate two different ways in which intracellular Gln3 localization is regulated. Nuclear Gln3 entry is regulated by the cell's overall nitrogen supply, i.e., by NCR, as long accepted. However, once within the nucleus, Gln3 can follow one of two courses depending on the glutamine levels themselves or a metabolite directly related to glutamine. When glutamine levels are high, e.g., glutamine or ammonia as the sole nitrogen source or addition of glutamine analogues, Gln3 can exit from the nucleus without binding to DNA. In contrast, when glutamine levels are lowered, e.g., adding additional nitrogen sources to glutamine-grown cells or providing repressive nonglutamine nitrogen sources, Gln3 export does not occur in the absence of DNA binding. We also demonstrate that Gln3 residues 64-73 are required for nuclear Gln3 export.

An integrative approach to infer regulation programs in a transcription regulatory module network

The module network method, a special type of Bayesian network algorithms, has been proposed to infer transcription regulatory networks from gene expression data. In this method, a module represents a set of genes, which have similar expression profiles and are regulated by same transcription factors. The process of learning module networks consists of two steps: first clustering genes into modules and then inferring the regulation program (transcription factors) of each module. Many algorithms have been designed to infer the regulation program of a given gene module, and these algorithms show very different biases in detecting regulatory relationships. In this work, we explore the possibility of integrating results from different algorithms. The integration methods we select are union, intersection, and weighted rank aggregation. Experiments in a yeast dataset show that the union and weighted rank aggregation methods produce more accurate predictions than those given by individual algorithms, whereas the intersection method does not yield any improvement in the accuracy of predictions. In addition, somewhat surprisingly, the union method, which has a lower computational cost than rank aggregation, achieves comparable results as given by rank aggregation.

Deletion and overexpression of the Aspergillus nidulans GATA factor AreB reveals unexpected pleiotropy

The Aspergillus nidulans transcription factor AreA is a key regulator of nitrogen metabolic gene expression. AreA contains a C-terminal GATA zinc finger DNA-binding domain and activates expression of genes necessary for nitrogen acquisition. Previous studies identified AreB as a potential negative regulator of nitrogen catabolism showing similarity with Penicillium chrysogenum NreB and Neurospora crassa ASD4. The areB gene encodes multiple products containing an N-terminal GATA zinc finger and a leucine zipper motif. We deleted the areB gene and now show that AreB negatively regulates AreA-dependent nitrogen catabolic gene expression under nitrogen-limiting or nitrogen-starvation conditions. AreB also acts pleiotropically, with functions in growth, conidial germination and asexual development, though not in sexual development. AreB overexpression results in severe growth inhibition, aberrant cell morphology and reduced AreA-dependent gene expression. Deletion of either the DNA-binding domain or the leucine zipper domain results in loss of both nitrogen and developmental phenotypes.

The yeast GATA factor Gat1 occupies a central position in nitrogen catabolite repression-sensitive gene activation

Saccharomyces cerevisiae cells are able to adapt their metabolism according to the quality of the nitrogen sources available in the environment. Nitrogen catabolite repression (NCR) restrains the yeast's capacity to use poor nitrogen sources when rich ones are available. NCR-sensitive expression is modulated by the synchronized action of four DNA-binding GATA factors. Although the first identified GATA factor, Gln3, was considered the major activator of NCR-sensitive gene expression, our work positions Gat1 as a key factor for the integrated control of NCR in yeast for the following reasons: (i) Gat1 appeared to be the limiting factor for NCR gene expression, (ii) GAT1 expression was regulated by the four GATA factors in response to nitrogen availability, (iii) the two negative GATA factors Dal80 and Gzf3 interfered with Gat1 binding to DNA, and (iv) Gln3 binding to some NCR promoters required Gat1. Our study also provides mechanistic insights into the mode of action of the two negative GATA factors. Gzf3 interfered with Gat1 by nuclear sequestration and by competition at its own promoter. Dal80-dependent repression of NCR-sensitive gene expression occurred at three possible levels: Dal80 represses GAT1 expression, it competes with Gat1 for binding, and it directly represses NCR gene transcription.

Nitrogen catabolite repression-sensitive transcription as a readout of Tor pathway regulation: the genetic background, reporter gene and GATA factor assayed determine the outcomes

Nitrogen catabolite repression (NCR)-sensitive genes, whose expression is highly repressed when provided with excess nitrogen and derepressed when nitrogen is limited or cells are treated with rapamycin, are routinely used as reporters in mechanistic studies of the Tor signal transduction pathway in Saccharomyces cerevisiae. Two GATA factors, Gln3 and Gat1, are responsible for NCR-sensitive transcription, but recent evidence demonstrates that Tor pathway regulation of NCR-sensitive transcription bifurcates at the level of GATA factor localization. Gln3 requires Sit4 phosphatase for nuclear localization and NCR-sensitive transcription while Gat1 does not. In this article, we demonstrate that the extent to which Sit4 plays a role in NCR-sensitive transcription depends upon whether or not (i) Gzf3, a GATA repressor homologous to Dal80, is active in the genetic background assayed; (ii) Gat1 is able to activate transcription of the assayed gene in the absence of Gln3 in that genetic background; and (iii) the gene chosen as a reporter is able to be transcribed by Gln3 or Gat1 in the absence of the other GATA factor. Together, the data indicate that in the absence of these three pieces of information, overall NCR-sensitive gene transcription data are unreliable as Tor pathway readouts.

Proximity of intracellular regulatory networks to monotone systems

Networks that contain only sign-consistent loops, such as positive feedforward and feedback loops, function as monotone systems. Simulated using differential equations, monotone systems display well-ordered behaviour that excludes the possibility for chaotic dynamics. Perturbations of such systems have unambiguous global effects and a predictability characteristic that confers robustness and adaptability. The authors assess whether the topology of biological regulatory networks is similar to the topology of monotone systems. For this, three intracellular regulatory networks are analysed where links are specified for the directionality and the effects of interactions. These networks were assembled from functional studies in the experimental literature. It is found that the three biological networks contain far more positive 'sign-consistent' feedback and feedforward loops than negative loops. Negative loops can be 'eliminated' from the real networks by the removal of fewer links as compared with the corresponding shuffled networks. The abundance of positive feedforward and feedback loops in real networks emerges from the presence of hubs that are enriched with either negative or positive links. These observations suggest that intracellular regulatory networks are 'close-to-monotone', a characteristic that could contribute to the dynamical stability observed in cellular behaviour.

Differing responses of Gat1 and Gln3 phosphorylation and localization to rapamycin and methionine sulfoximine treatment in Saccharomyces cerevisiae

Gln3 and Gat1/Nil1 are GATA-family transcription factors responsible for transcription of nitrogen-catabolic genes in Saccharomyces cerevisiae. Intracellular Gln3 localization and Gln3-dependent transcription respond in parallel to the nutritional environment and inhibitors of Tor1/2 (rapamycin) and glutamine synthetase (L-methionine sulfoximine, MSX). However, detectable Gln3 phosphorylation, though influenced by nutrients and inhibitors, correlates neither with Gln3 localization nor nitrogen catabolite repression-sensitive transcription in a consistent way. To establish relationships between Gln3 and Gat1 regulation, we performed experiments parallel to those we previously reported for Gln3. Gat1 and Gln3 localization are similar during steady-state growth, being cytoplasmic and nuclear with good and poor nitrogen sources, respectively. Localization correlates with Gat1- and Gln3-mediated transcription. In contrast, three characteristics of Gat1 and Gln3 differ significantly: (i) the kinetics of their localization in response to nutritional transitions and rapamycin-treatment; (ii) their opposite responses to MSX-treatment, i.e. that cytoplasmic Gln3 becomes nuclear following MSX addition, whereas nuclear Gat1 becomes cytoplasmic; and (iii) their phosphorylation levels in the above situations. In instances where Gln3 phosphorylation can be straightforwardly demonstrated to change, Gat1 phosphorylation (in the same samples) appears invariant. The only exception was following carbon starvation, where Gat1, like Gln3, is hyperphosphorylated in a Snf1-dependent manner. However, neither carbon starvation nor MSX treatment elicits Snf1-independent Gat1 hyperphosphorylation, as observed for Gln3.

Antisense-mediated inhibition of arginase (CAR1) gene expression in Saccharomyces cerevisiae

Inhibition of Saccharomyces cerevisiae arginase (CAR1) gene expression was investigated using the antisense RNA technique. CAR1 DNA fragments containing the yeast CAR1 gene sequences from the transcription initiation site (-49) or translation initiation site (+1) to the +501 region were amplified using PCR and inversely fused to the yeast CYC1 promoter on the yeast YIp5 plasmid. These recombinant plasmids were transformed into yeast cells to construct strains containing CYC1 promoter-antisense CAR1 DNA in their chromosomal DNA. When the CAR1 DNA region from -120 to +552 was amplified by PCR, the CYC1 promoter-antisense CAR1 DNA plasmid transformants produced the same size of PCR fragments as vector only transformants, suggesting the recombinant plasmids did not integrate into the CAR1 loci. The level of arginase production by the recombinant transformants markedly decreased to about 15% of the enzyme activity produced by the vector only transformants.

Retrograde response to mitochondrial dysfunction is separable from TOR1/2 regulation of retrograde gene expression

Retrograde (RTG) signaling senses mitochondrial dysfunction and initiates readjustments of carbohydrate and nitrogen metabolism through nuclear accumulation of the heterodimeric transcription factors, Rtg1/3p. The RTG pathway is also linked to target of rapamycin (TOR) signaling, among whose activities is transcriptional control of nitrogen catabolite repression (NCR)-sensitive genes. To investigate the connections between these two signaling pathways, we have analyzed rapamycin sensitivity of the expression of the RTG target gene CIT2 and of two NCR-sensitive genes, GLN1 and DAL5, in respiratory-competent (rho+) and -incompetent (rho0) yeast cells. Here we have presented evidence that retrograde gene expression is separable from TOR regulation of RTG- and NCR-responsive genes. We showed that expression of these two classes of genes is differentially regulated by glutamate starvation whether in response to mitochondrial dysfunction or induced by rapamycin treatment, as well by glutamine or histidine starvation. We also showed that Lst8p, a component of the TOR1/2 complexes and a negative regulator of the RTG pathway, has multiple roles in the regulation of RTG- and NCR-sensitive genes. Lst8p negatively regulates CIT2 and GLN1 expression, whereas DAL5 expression is independent of Lst8p function. DAL5 expression depends on the GATA transcription factors Gln3p and Gat1p. Gat1p is translocated to the nucleus only upon TOR inhibition by rapamycin. Altogether, these data show that Rtg1/3p, Gln3p, and Gat1p can be differentially regulated through different nutrient-sensing pathways, such as TOR and retrograde signaling, and by multiple factors, such as Lst8p, which is suggested to have a role in connecting the RTG and TOR pathways.

Nutritional regulation of vitellogenesis in mosquitoes: implications for anautogeny

Anautogeny is a successful reproductive strategy utilized by many mosquito species and other disease-transmitting arthropod vectors. Developing an understanding of the mechanisms underlying anautogeny in mosquitoes is very important because this reproductive strategy is the driving force behind the transmission of disease to millions of people. Information gained from mosquito studies may also be applicable to other blood feeding insect vectors. The conversion of protein from blood into yolk protein precursors for the developing oocytes is an essential part of the reproductive cycle, and understanding how this process is regulated could lead to safe, specific, and effective ways to block reproduction in blood feeding insects. Great gains have been made in elucidating the mechanisms that regulate vitellogenesis in mosquitoes, especially Ae. aegypti. However, a number of questions remain to be answered to make the picture more complete. In this review, we summarize what is currently known about the nutritional regulation of vitellogenesis in mosquitoes and the questions that remain to be answered about this important biological phenomenon.

An evolutionary and functional assessment of regulatory network motifs

Cross-species comparison and functional analysis of over-abundant motifs in an integrated network of yeast transcriptional and protein-protein interaction data showed that the over-abundance of the network motifs does not have any immediate functional or evolutive counterpart.

Background

Cellular functions are regulated by complex webs of interactions that might be schematically represented as networks. Two major examples are transcriptional regulatory networks, describing the interactions among transcription factors and their targets, and protein-protein interaction networks. Some patterns, dubbed motifs, have been found to be statistically over-represented when biological networks are compared to randomized versions thereof. Their function in vitro has been analyzed both experimentally and theoretically, but their functional role in vivo, that is, within the full network, and the resulting evolutionary pressures remain largely to be examined.

Results

We investigated an integrated network of the yeast Saccharomyces cerevisiae comprising transcriptional and protein-protein interaction data. A comparative analysis was performed with respect to Candida glabrata, Kluyveromyces lactis, Debaryomyces hansenii and Yarrowia lipolytica, which belong to the same class of hemiascomycetes as S. cerevisiae but span a broad evolutionary range. Phylogenetic profiles of genes within different forms of the motifs show that they are not subject to any particular evolutionary pressure to preserve the corresponding interaction patterns. The functional role in vivo of the motifs was examined for those instances where enough biological information is available. In each case, the regulatory processes for the biological function under consideration were found to hinge on post-transcriptional regulatory mechanisms, rather than on the transcriptional regulation by network motifs.

Conclusion

The overabundance of the network motifs does not have any immediate functional or evolutionary counterpart. A likely reason is that motifs within the networks are not isolated, that is, they strongly aggregate and have important edge and/or node sharing with the rest of the network.

Ure2, a prion precursor with homology to glutathione S-transferase, protects Saccharomyces cerevisiae cells from heavy metal ion and oxidant toxicity

Ure2, the protein that negatively regulates GATA factor (Gln3, Gat1)-mediated transcription in Saccharomyces cerevisiae, possesses prion-like characteristics. Identification of metabolic and environmental factors that influence prion formation as well as any activities that prions or prion precursors may possess are important to understanding them and developing treatment strategies for the diseases in which they participate. Ure2 exhibits primary sequence and three-dimensional homologies to known glutathione S-transferases. However, multiple attempts over nearly 2 decades to demonstrate Ure2-mediated S-transferase activity have been unsuccessful, leading to the possibility that Ure2 may well not participate in glutathionation reactions. Here we show that Ure2 is required for detoxification of glutathione S-transferase substrates and cellular oxidants. ure2 Delta mutants are hypersensitive to cadmium and nickel ions and hydrogen peroxide. They are only slightly hypersensitive to diamide, which is nitrogen source-dependent, and minimally if at all hypersensitive to 1-chloro-2,4-dinitrobenzene, the most commonly used substrate for glutathione S-transferase enzyme assays. Therefore, Ure2 shares not only structural homology with various glutathione S-transferases, but ure2 mutations possess the same phenotypes as mutations in known S. cerevisiae and Schizosaccharomyces pombe glutathione S-transferase genes. These findings are consistent with Ure2 serving as a glutathione S-transferase in S. cerevisiae.

The role of the GATA factors Gln3p, Nil1p, Dal80p and the Ure2p on ASP3 regulation in Saccharomyces cerevisiae

The role of Gln3p, Nil1p, Dal80p and Ure2p in the nitrogen regulation of ASP3, which codes for the periplasmic Saccharomyces cerevisiae asparaginase II, was investigated. Analysis of enzyme levels and mRNA(ASP3) in two wild-type strains and gln3, nil1, gln3nil1, gln3ure2, nil1ure2, nil1dal80, ure2, dal80 and ure2dal80 mutant cells allowed the study of the qualitative and quantitative regulatory role of the GATA factors and Ure2p on ASP3 expression. The simultaneous presence of Gln3p and Nil1p is a required condition for full gene transcription. Enzyme activity doubled upon nitrogen starvation of either ammonium-grown (possibly due to Nil2p/Deh1p derepression) or proline-grown (due to Dal80p derepression) cells. The ure2 mutation increased enzyme levels five-fold in fresh ammonium-grown cells and ten-fold in fresh proline-grown cells. The combined effects of the ure2 mutation and nitrogen starvation on ammonium- or proline-grown cells resulted in an overall 10-20-fold enzyme activity increase, respectively, in comparison with the wild-type cells.

The sensing of nutritional status and the relationship to filamentous growth in Saccharomyces cerevisiae

Heterotrophic organisms rely on the ingestion of organic molecules or nutrients from the environment to sustain energy and biomass production. Non-motile, unicellular organisms have a limited ability to store nutrients or to take evasive action, and are therefore most directly dependent on the availability of nutrients in their immediate surrounding. Such organisms have evolved numerous developmental options in order to adapt to and to survive the permanently changing nutritional status of the environment. The phenotypical, physiological and molecular nature of nutrient-induced cellular adaptations has been most extensively studied in the yeast Saccharomyces cerevisiae. These studies have revealed a network of sensing mechanisms and of signalling pathways that generate and transmit the information on the nutritional status of the environment to the cellular machinery that implements specific developmental programmes. This review integrates our current knowledge on nutrient sensing and signalling in S. cerevisiae, and suggests how an integrated signalling network may lead to the establishment of a specific developmental programme, namely pseudohyphal differentiation and invasive growth.

Transmitting the signal of excess nitrogen in Saccharomyces cerevisiae from the Tor proteins to the GATA factors: connecting the dots

Major advances have recently occurred in our understanding of GATA factor-mediated, nitrogen catabolite repression (NCR)-sensitive gene expression in Saccharomyces cerevisiae. Under nitrogen-rich conditions, the GATA family transcriptional activators, Gln3 and Gat1, form complexes with Ure2, and are localized to the cytoplasm, which decreases NCR-sensitive expression. Under nitrogen-limiting conditions, Gln3 and Gat1 are dephosphorylated, move from the cytoplasm to the nucleus, in wild-type but not rna1 and srp1 mutants, and increase expression of NCR-sensitive genes. 'Induction' of NCR-sensitive gene expression and dephosphorylation of Gln3 (and Ure2 in some laboratories) when cells are treated with rapamycin implicates the Tor1/2 signal transduction pathway in this regulation. Mks1 is posited to be a negative regulator of Ure2, positive regulator of retrograde gene expression and to be itself negatively regulated by Tap42. In addition to Tap42, phosphatases Sit4 and Pph3 are also argued by some to participate in the regulatory pathway. Although a treasure trove of information has recently become available, much remains unknown (and sometimes controversial) with respect to the precise biochemical functions and regulatory pathway connections of Tap42, Sit4, Pph3, Mks1 and Ure2, and how precisely Gln3 and Gat1 are prevented from entering the nucleus. The purpose of this review is to provide background information needed by students and investigators outside of the field to follow and evaluate the rapidly evolving literature in this exciting field.

Nitrogen regulation in Saccharomyces cerevisiae

Yeast cells can respond to growth on relatively poor nitrogen sources by increasing expression of the enzymes for the synthesis of glutamate and glutamine and by increasing the activities of permeases responsible for the uptake of amino acids for use as a source of nitrogen. These general responses to the quality of nitrogen source in the growth medium are collectively termed nitrogen regulation. In this review, we discuss the historical foundations of the study of nitrogen regulation as well as the current understanding of the regulatory networks that underlie nitrogen regulation. One focus of the review is the array of four GATA type transcription factors which are responsible for the regulation the expression of nitrogen-regulated genes. They are the activators Gln3p and Nil1p and their antagonists Nil2p and Dal80p. Our discussion includes consideration of the DNA elements which are the targets of the transcription factors and of the regulated translocation of Gln3p and Nil1p from the cytoplasm to the nucleus. A second focus of the review is the nitrogen regulation of the general amino acid permease, Gap1p, and the proline permease, Put4p, by ubiquitin mediated intracellular protein sorting in the secretory and endosomal pathways.

Transcript abundance in yeast varies over six orders of magnitude

In the current era of functional genomics, it is remarkable that the intracellular range of transcript abundance is largely unknown. For the yeast Saccharomyces cerevisiae, hybridization-based complexity analysis and SAGE analysis showed that the majority of yeast mRNAs are present at one or fewer copies per cell; however, neither method provides an accurate estimate of the full range of low abundance transcripts. Here we examine the range of intracellular transcript abundance in yeast using kinetically monitored, reverse transcriptase-initiated PCR (kRT-PCR). Steady-state transcript levels encoded by all 65 genes on the left arm of chromosome III and 185 transcription factor genes are quantitated. Abundant transcripts encoded by glycolytic genes, previously quantitated by kRT-PCR, are present at a few hundred copies per cell whereas genes encoding physiologically important transcription factors are expressed at levels as low as one-thousandth transcript per cell. Of the genes assessed, only the silent mating type loci, HML and HMR, are transcriptionally silent. The results show that transcript abundance in yeast varies over six orders of magnitude. Finally, kRT-PCR, cDNA microarray, and high density oligonucleotide array assays are compared for their ability to detect and quantitate the complete yeast transcriptome.

The role of the yeast plasma membrane SPS nutrient sensor in the metabolic response to extracellular amino acids

In response to discrete environmental cues, Saccharomyces cerevisiae cells adjust patterns of gene expression and protein activity to optimize metabolism. Nutrient-sensing systems situated in the plasma membrane (PM) of yeast have only recently been discovered. Ssy1p is one of three identified components of the Ssy1p-Ptr3p-Ssy5 (SPS) sensor of extracellular amino acids. SPS sensor-initiated signals are known to modulate the expression of a number of amino acid and peptide transporter genes (i.e. AGP1, BAP2, BAP3, DIP5, GAP1, GNP1, TAT1, TAT2 and PTR2) and arginase (CAR1). To obtain a better understanding of how cells adjust metabolism in response to extracellular amino acids in the environment and to assess the consequences of loss of amino acid sensor function, we investigated the effects of leucine addition to wild-type and ssy1 null mutant cells using genome-wide transcription profile analysis. Our results indicate that the previously identified genes represent only a subset of the full spectrum of Ssy1p-dependent genes. The expression of several genes encoding enzymes in amino acid biosynthetic pathways, including the branched-chain, lysine and arginine, and the sulphur amino acid biosynthetic pathways, are modulated by Ssy1p. Additionally, the proper transcription of several nitrogen-regulated genes, including NIL1 and DAL80, encoding well-studied GATA transcription factors, is dependent upon Ssy1p. Finally, several genes were identified that require Ssy1p for wild-type expression independently of amino acid addition. These findings demonstrate that yeast cells require the SPS amino acid sensor component, Ssy1p, to adjust diverse cellular metabolic processes properly.

Green fluorescent protein-Dal80p illuminates up to 16 distinct foci that colocalize with and exhibit the same behavior as chromosomal DNA proceeding through the cell cycle of Saccharomyces cerevisiae

Four GATA family DNA binding proteins mediate nitrogen catabolite repression-sensitive transcription in Saccharomyces cerevisiae. Gln3p and Gat1p are transcriptional activators, while Dal80p and Deh1p repress Gln3p- and Gat1p-mediated transcription by competing with these activators for binding to DNA. Strong Dal80p binding to DNA is thought to result from C-terminal leucine zipper-mediated dimerization. Many Dal80p binding site-homologous sequences are relatively evenly distributed across the S. cerevisiae genome, raising the possibility that Dal80p might be able to "stain" DNA. We demonstrate that cells containing enhanced green fluorescent protein-Dal80p (EGFP-Dal80p) exhibit up to 16 fluorescent foci that colocalize with DAPI (4',6'-diamidino-2-phenylindole)-positive material and follow DNA movement through the cell cycle, suggesting that EGFP-Dal80p may indeed be useful for monitoring yeast chromosomes in live cells and in real time.

The Aspergillus nidulans GATA transcription factor gene areB encodes at least three proteins and features three classes of mutation

In Aspergillus nidulans, the principal transcription factor regulating nitrogen metabolism, AREA, belongs to the GATA family of DNA-binding proteins. In seeking additional GATA factors, we have cloned areB, which was originally identified via a genetic screen for suppressors of areA loss-of-function mutations. Based on our analysis, areB is predicted to encode at least three distinct protein products. These arise from the use of two promoters, differential splicing and translation initiating at AUG and non-AUG start codons. All the putative products include a GATA domain and a putative Leu zipper. These regions show strong sequence similarity to regulatory proteins from Saccharomyces cerevisiae (Dal80p and Gzf3p), Penicillium chrysogenum (NREB) and Neurospora crassa (ASD4). We have characterized three classes of mutation in areB; the first are loss-of-function mutations that terminate the polypeptides within or before the GATA domain. The second class truncates the GATA factor either within or upstream of the putative Leu zipper but retains the GATA domain. The third class fuses novel gene sequences to areB with the potential to produce putative chimeric polypeptides. These novel gene fusions transform the putative negative-acting transcription factor into an activator that can partially replace areA.