The Saccharomyces cerevisiae GATA factors Dal80p and Deh1p can form homo- and heterodimeric complexes

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.

NetProphet 3: a machine learning framework for transcription factor network mapping and multi-omics integration

MOTIVATION

Many methods have been proposed for mapping the targets of transcription factors (TFs) from gene expression data. It is known that combining outputs from multiple methods can improve performance. To date, outputs have been combined by using either simplistic formulae, such as geometric mean, or carefully hand-tuned formulae that may not generalize well to new inputs. Finally, the evaluation of accuracy has been challenging due to the lack of genome-scale, ground-truth networks.

RESULTS

We developed NetProphet3, which combines scores from multiple analyses automatically, using a tree boosting algorithm trained on TF binding location data. We also developed three independent, genome-scale evaluation metrics. By these metrics, NetProphet3 is more accurate than other commonly used packages, including NetProphet 2.0, when gene expression data from direct TF perturbations are available. Furthermore, its integration mode can forge a consensus network from gene expression data and TF binding location data.

AVAILABILITY AND IMPLEMENTATION

All data and code are available at https://zenodo.org/record/7504131#.Y7Wu3i-B2x8.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

The vacuolar amino acid transport system is a novel, direct target of GATA transcription factors

In Saccharomyces cerevisiae, Avt4 exports neutral and basic amino acids from vacuoles. Previous studies have suggested that the GATA transcription factors, Gln3 and Gat1, which are key regulators that adapt cells in response to changes in amino acid status, are involved in the AVT4 transcription. Here, we show that mutations in the putative GATA-binding sites of the AVT4 promoter reduced AVT4 expression. Consistently, a chromatin immunoprecipitation (ChIP) assay revealed that Gat1-Myc13 binds to the AVT4 promoter. Previous microarray results were confirmed that gln3∆gat1∆ cells showed a decrease in expression of AVT1 and AVT7, which also encode vacuolar amino acid transporters. Additionally, ChIP analysis revealed that the AVT6 encoding vacuolar acidic amino acid exporter represents a new direct target of the GATA transcription factor. The broad effect of the GATA transcription factors on the expression of AVT transporters suggests that vacuolar amino acid transport is integrated into cellular amino acid homeostasis.

Transcription-dependent spreading of the Dal80 yeast GATA factor across the body of highly expressed genes

GATA transcription factors are highly conserved among eukaryotes and play roles in transcription of genes implicated in cancer progression and hematopoiesis. However, although their consensus binding sites have been well defined in vitro, the in vivo selectivity for recognition by GATA factors remains poorly characterized. Using ChIP-Seq, we identified the Dal80 GATA factor targets in yeast. Our data reveal Dal80 binding to a large set of promoters, sometimes independently of GATA sites, correlating with nitrogen- and/or Dal80-sensitive gene expression. Strikingly, Dal80 was also detected across the body of promoter-bound genes, correlating with high expression. Mechanistic single-gene experiments showed that Dal80 spreading across gene bodies requires active transcription. Consistently, Dal80 co-immunoprecipitated with the initiating and post-initiation forms of RNA Polymerase II. Our work suggests that GATA factors could play dual, synergistic roles during transcription initiation and post-initiation steps, promoting efficient remodeling of the gene expression program in response to environmental changes.

GATA transcription factors are highly conserved among eukaryotes and play key roles in cancer progression and hematopoiesis. In budding yeast, four GATA transcription factors are involved in the response to the quality of nitrogen supply. Here, we have determined the whole genome binding profile of the Dal80 GATA factor, and revealed that it also associates with the body of promoter-bound genes. The observation that intragenic spreading correlates with high expression levels and exquisite Dal80 sensitivity suggests that GATA factors could play other, unexpected roles at post-initiation stages in eukaryotes.

Dal81 Regulates Expression of Arginine Metabolism Genes in Candida parapsilosis

Fungi can use a wide variety of nitrogen sources. In the absence of preferred sources such as ammonium, glutamate, and glutamine, secondary sources, including most other amino acids, are used. Expression of the nitrogen utilization pathways is very strongly controlled at the transcriptional level. Here, we investigated the regulation of nitrogen utilization in the pathogenic yeast Candida parapsilosis. We found that the functions of many regulators are conserved with respect to Saccharomyces cerevisiae and other fungi. For example, the core GATA activators GAT1 and GLN3 have a conserved role in nitrogen catabolite repression (NCR). There is one ortholog of GZF3 and DAL80, which represses expression of genes in preferred nitrogen sources. The regulators PUT3 and UGA3 are required for metabolism of proline and γ-aminobutyric acid (GABA), respectively. However, the role of the Dal81 transcription factor is distinctly different. In S. cerevisiae, Dal81 is a positive regulator of acquisition of nitrogen from GABA, allantoin, urea, and leucine, and it is required for maximal induction of expression of the relevant pathway genes. In C. parapsilosis, induction of GABA genes is independent of Dal81, and deleting DAL81 has no effect on acquisition of nitrogen from GABA or allantoin. Instead, Dal81 represses arginine synthesis during growth under preferred nitrogen conditions. IMPORTANCE Utilization of nitrogen by fungi is controlled by nitrogen catabolite repression (NCR). Expression of many genes is switched off during growth on nonpreferred nitrogen sources. Gene expression is regulated through a combination of activation and repression. Nitrogen regulation has been studied best in the model yeast Saccharomyces cerevisiae. We found that although many nitrogen regulators have a conserved function in Saccharomyces species, some do not. The Dal81 transcriptional regulator has distinctly different functions in S. cerevisiae and C. parapsilosis. In the former, it regulates utilization of nitrogen from GABA and allantoin, whereas in the latter, it regulates expression of arginine synthesis genes. Our findings make an important contribution to our understanding of nitrogen regulation in a human-pathogenic fungus.

Overview of carbon and nitrogen catabolite metabolism in the virulence of human pathogenic fungi

It is estimated that fungal infections, caused most commonly by Candida albicans, Aspergillus fumigatus and Cryptococcus neoformans, result in more deaths annually than malaria or tuberculosis. It has long been hypothesized the fungal metabolism plays a critical role in virulence though specific nutrient sources utilized by human pathogenic fungi in vivo has remained enigmatic. However, the metabolic utilisation of preferred carbon and nitrogen sources, encountered in a host niche-dependent manner, is known as carbon catabolite and nitrogen catabolite repression (CCR, NCR), and has been shown to be important for virulence. Several sensory and uptake systems exist, including carbon and nitrogen source-specific sensors and transporters, that allow scavenging of preferred nutrient sources. Subsequent metabolic utilisation is governed by transcription factors, whose functions and essentiality differ between fungal species. Furthermore, additional factors exist that contribute to the implementation of CCR and NCR. The role of the CCR and NCR-related factors in virulence varies greatly between fungal species and a substantial gap in knowledge exists regarding specific pathways. Further elucidation of carbon and nitrogen metabolism mechanisms is therefore required in a fungal species- and animal model-specific manner in order to screen for targets that are potential candidates for anti-fungal drug development.

Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection

Understanding the structure and function of complex gene regulatory networks using classical genetic assays is an error-prone procedure that frequently generates ambiguous outcomes. Even some of the best-characterized gene networks contain interactions whose validity is not conclusively proven. Founded on dynamic experimental data, mechanistic mathematical models are able to offer detailed insights that would otherwise require prohibitively large numbers of genetic experiments. Here we attempt mechanistic modeling of the transcriptional network formed by the four GATA-factor proteins, a well-studied system of central importance for nitrogen-source regulation of transcription in the yeast Saccharomyces cerevisiae. To resolve ambiguities in the network organization, we encoded a set of five interactions hypothesized in the literature into a set of 32 mathematical models, and employed Bayesian model selection to identify the most plausible set of interactions based on dynamic gene expression data. The top-ranking model was validated on newly generated GFP reporter dynamic data and was subsequently used to gain a better understanding of how yeast cells organize their transcriptional response to dynamic changes of nitrogen sources. Our work constitutes a necessary and important step towards obtaining a holistic view of the yeast nitrogen regulation mechanisms; on the computational side, it provides a demonstration of how powerful Monte Carlo techniques can be creatively combined and used to address the great challenges of large-scale dynamical system inference.

Gene regulatory networks underlie all key processes that enable a cell to maintain long-term homeostasis in a changing environment. Understanding the structure and function of complex gene networks is an experimentally difficult and error-prone procedure. Mechanistic mathematical modeling promises to alleviate these problems, as we demonstrate here for the yeast GATA-factor network, the central controller of the cellular response to nitrogen source quality. Despite years of targeted studies, the interaction pattern of this network is still not known precisely. To resolve several still-remaining ambiguities, we generated a set of alternative mathematical models, and compared them against each other using Bayesian model selection based on dynamic gene expression data. The top-ranking model was then validated on a separate, newly generated dataset. Our work thus provides new insights to the mechanism of nitrogen regulation in yeast, while at the same time overcoming some key computational inference problems for large models in systems biology.

The interplay between the GATA transcription factors AreA, the global nitrogen regulator and AreB in Fusarium fujikuroi

Nitrogen metabolite repression (NMR) in filamentous fungi is controlled by the GATA transcription factors AreA and AreB. While AreA mainly acts as a positive regulator of NMR-sensitive genes, the role of AreB is not well understood. We report the characterization of AreB and its interplay with AreA in the gibberellin-producing fungus Fusarium fujikuroi. The areB locus produces three different transcripts that each code for functional proteins fully complementing the areB deletion mutant that influence growth and secondary metabolism. However, under nitrogen repression, the AreB isoforms differ in subcellular localization indicating distinct functions under these conditions. In addition, AreA and two isoforms of AreB colocalize in the nucleus under low nitrogen, but their nuclear localization disappears under conditions of high nitrogen. Using a bimolecular fluorescence complementation (BiFC) approach we showed for the first time that one of the AreB isoforms interacts with AreA when starved of nitrogen. Cross-species complementation revealed that some AreB functions are retained between F. fujikuroi and Aspergillus nidulans while others have diverged. By comparison to other fungi where AreB was postulated to function as a negative counterpart of AreA, AreB can act as both repressor and activator of transcription in F. fujikuroi.

Hap2-3-5-Gln3 determine transcriptional activation of GDH1 and ASN1 under repressive nitrogen conditions in the yeast Saccharomyces cerevisiae

The transcriptional activation response relies on a repertoire of transcriptional activators, which decipher regulatory information through their specific binding to cognate sequences, and their capacity to selectively recruit the components that constitute a given transcriptional complex. We have addressed the possibility of achieving novel transcriptional responses by the construction of a new transcriptional regulator – the Hap2-3-5-Gln3 hybrid modulator – harbouring the HAP complex polypeptides that constitute the DNA-binding domain (Hap2-3-5) and the Gln3 activation domain, which usually act in an uncombined fashion. The results presented in this paper show that transcriptional activation of GDH1 and ASN1 under repressive nitrogen conditions is achieved through the action of the novel Hap2-3-5-Gln3 transcriptional regulator. We propose that the combination of the Hap DNA-binding and Gln3 activation domains results in a hybrid modulator that elicits a novel transcriptional response not evoked when these modulators act independently.

A catalogue of eukaryotic transcription factor types, their evolutionary origin, and species distribution

Transcription factors (TFs) play key roles in the regulation of gene expression by binding in a sequence-specific manner to genomic DNA. In eukaryotes, DNA binding is achieved by a wide range of structural forms and motifs. TFs are typically classified by their DNA-binding domain (DBD) type. In this chapter, we catalogue and survey 91 different TF DBD types in metazoa, plants, fungi, and protists. We briefly discuss well-characterized TF families representing the major DBD superclasses. We also examine the species distributions and inferred evolutionary histories of the various families, and the potential roles played by TF family expansion and dimerization.

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.

Comparative analysis indicates regulatory neofunctionalization of yeast duplicates

Comparison of the expression profiles of S. cerevisiae duplicate pairs with that of their pre-duplication orthologs in C. albicans identified a class of genes that may present cases of regulatory neofunctionalization.

Background

Gene duplication provides raw material for the generation of new functions, but most duplicates are rapidly lost due to the initial redundancy in gene function. How gene function diversifies following duplication is largely unclear. Previous studies analyzed the diversification of duplicates by characterizing their coding sequence divergence. However, functional divergence can also be attributed to changes in regulatory properties, such as protein localization or expression, which require only minor changes in gene sequence.

Results

We developed a novel method to compare expression profiles from different organisms and applied it to analyze the expression divergence of yeast duplicated genes. The expression profiles of Saccharomyces cerevisiae duplicate pairs were compared with those of their pre-duplication orthologs in Candida albicans. Duplicate pairs were classified into two classes, corresponding to symmetric versus asymmetric rates of expression divergence. The latter class includes 43 duplicate pairs in which only one copy has a significant expression similarity to the C. albicans ortholog. These may present cases of regulatory neofunctionalization, as supported also by their dispensability and variability.

Conclusion

Duplicated genes may diversify through regulatory neofunctionalization. Notably, the asymmetry of gene sequence evolution and the asymmetry of gene expression evolution are only weakly correlated, underscoring the importance of expression analysis to elucidate the evolution of novel functions.

Heterologous expression implicates a GATA factor in regulation of nitrogen metabolic genes and ion homeostasis in the halotolerant yeast Debaryomyces hansenii

The yeast Debaryomyces hansenii has a remarkable capacity to proliferate in salty and alkaline environments such as seawater. A screen for D. hansenii genes able to confer increased tolerance to high pH when overexpressed in Saccharomyces cerevisiae yielded a single gene, named here DhGZF3, encoding a putative negative GATA transcription factor related to S. cerevisiae Dal80 and Gzf3. Overexpression of this gene in wild-type S. cerevisiae increased caffeine and rapamycin tolerance, blocked growth in low glucose concentrations and nonfermentable carbon sources, and resulted in lithium- and sodium-sensitive cells. Sensitivity to salt could be attributed to a reduced cation efflux, most likely because of a decrease in expression of the ENA1 Na(+)-ATPase gene. Overexpression of DhGZF3 did not affect cell growth in a gat1 mutant but was lethal in the absence of Gln3. These are positive factors that oppose both Gzf3 and Dal80. Genome-wide transcriptional profiling of wild-type cells overexpressing DhGZF3 shows decreased expression of a number of genes that are usually induced in poor nitrogen sources. In addition, the entire pathway leading to Lys biosynthesis was repressed, probably as a result of a decrease in the expression of the specific Lys14 transcription factor. In conclusion, our results demonstrate that DhGzf3 can play a role as a negative GATA transcription factor when expressed in S. cerevisiae and that it most probably represents the only member of this family in D. hansenii. These findings also point to the GATA transcription factors as relevant elements for alkaline-pH tolerance.

Functional characterization of the iron-regulatory transcription factor Fep1 from Schizosaccharomyces pombe

In response to excess iron, Schizosaccharomyces pombe cells repress transcription of genes encoding components involved in iron uptake through the Fep1 transcription factor. Fep1 mediates this control by interacting with the consensus sequence 5'-(A/T)GATAA-3', found in iron-dependent promoters. In this report, we show that Fep1 localizes to the nucleus under both iron-replete and iron-starved conditions. The Fep1 DNA binding domain (amino acids 1-241) contains two GATA-type zinc finger motifs. Although we determine that the Fep1 C-terminal zinc finger (ZF2) is essential for DNA binding, we show that the N-terminal zinc finger (ZF1) enhances DNA binding affinity approximately 5-fold. Between the two zinc finger motifs of Fep1 resides an invariant amino acid sequence, denoted the Cys-rich region (amino acids 68-94), in which four highly conserved Cys residues are found. Cells harboring mutant alleles in which two or more of the conserved Cys residues were substituted by alanine exhibited elevated fio1(+) mRNA levels. We determine that the dissociation constant for the resulting complex between each of the Cys mutants and the sequence 5'-(A/T)GATAA-3' reflects a much lower affinity that correlates with failure to repress fio1(+) gene expression. Deletion analysis identified two heptad repeats (amino acids 522-536) within the C-terminal region of Fep1 that are necessary and sufficient to mediate Fep1 dimerization. Moreover, mutations that impair dimerization also negatively affect transcriptional repression. Together these findings reveal several novel features of Fep1, a non-canonical GATA factor required for iron homeostasis.

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.

Assimilation of nitrate by yeasts

Nitrate assimilation has received much attention in filamentous fungi and plants but not so much in yeasts. Recently the availability of classical genetic and molecular biology tools for the yeast Hansenula polymorpha has allowed the advance of the study of this metabolic pathway in yeasts. The genes YNT1, YNR1 and YNI1, encoding respectively nitrate transport, nitrate reductase and nitrite reductase, have been cloned, as well as two other genes encoding transcriptional regulatory factors. All these genes lie closely together in a cluster. Transcriptional regulation is the main regulatory mechanism that controls the levels of the enzymes involved in nitrate metabolism although other mechanisms may also be operative. The process involved in the sensing and signalling of the presence of nitrate in the medium is not well understood. In this article the current state of the studies of nitrate assimilation in yeasts as well as possible venues for future research are reviewed.

Gln3p nuclear localization and interaction with Ure2p in Saccharomyces cerevisiae

Gln3p is one of two well characterized GATA family transcriptional activation factors whose function is regulated by the nitrogen supply of the cell. When nitrogen is limiting, Gln3p and Gat1p are concentrated in the nucleus where they bind GATA sequences upstream of nitrogen catabolite repression (NCR)-sensitive genes and activate their transcription. Conversely, in excess nitrogen, these GATA sequences are unoccupied by Gln3p and Gat1p because these transcription activators are excluded from the nucleus. Ure2p binds to Gln3p and Gat1p and is required for NCR-sensitive transcription to be repressed and for nuclear exclusion of these transcription factors. Here we show the following. (i) Gln3p residues 344-365 are required for nuclear localization. (ii) Replacing Ser-344, Ser-347, and Ser-355 with alanines has minimal effects on GFP-Gln3p localization. However, replacing Gln3p Ser-344, Ser-347, and Ser-355 with aspartates results in significant loss of its ability to be concentrated in the nucleus. (iii) N and C termini of the Gln3p region required for it to complex with Ure2p and be excluded from the nucleus are between residues 1-103 and 301-365, respectively. (iv) N and C termini of the Ure2p region required for it to interact with Gln3p are situated between residues 101-151 and 330-346, respectively. (v) Loss of Ure2p residues participating in either dimer or prion formation diminishes its ability to carry out NCR-sensitive regulation of Gln3p activity.

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 fungal GATA factors

The DNA-binding domains of eucaryotic GATA factors comprise a four-cysteine Zn finger and an adjacent basic region. Fungal GATA factors regulate nitrogen metabolism, light induction, siderophore biosynthesis and mating-type switching. Hydrophobic interactions determine binding-site specificity. Interactions with other factors may determine promoter specificity. One GATA factor has recently been shown to determine a drastic chromatin rearrangement.

Overlapping positive and negative GATA factor binding sites mediate inducible DAL7 gene expression in Saccharomyces cerevisiae

Allantoin pathway gene expression in Saccharomyces cerevisiae responds to two different environmental stimuli. The expression of these genes is induced in the presence of allantoin or its degradative metabolites and repressed when a good nitrogen source (e. g. asparagine or glutamine) is provided. Three types of cis-acting sites and trans-acting factors are required for allantoin pathway gene transcription as follows: (i) UAS(NTR) element associated with the transcriptional activators Gln3p and Gat1p, (ii) URS(GATA) element associated with the repressor Dal80p, and (iii) UIS(ALL) element associated with the Dal82 and Dal81 proteins required for inducer-dependent transcription. Most of the work leading to the above conclusions has employed inducer-independent allantoin pathway genes (e.g. DAL5 and DAL3). The purpose of this work is to extend our understanding of these elements and their roles to inducible allantoin pathway genes using the DAL7 (encoding malate synthase) as a model. We show that eight distinct cis-acting sites participate in the process as follows: a newly identified GC-rich element, two UAS(NTR), two UIS(ALL), and three URS(GATA) elements. The two GATA-containing UAS(NTR) elements are coincident with two of the three GATA sequences that make up the URS(GATA) elements. The remaining URS(GATA) GATA sequence, however, is not a UAS(NTR) element but appears to function only in repression. The data provide insights into how these cis- and trans-acting factors function together to accomplish the regulated expression of the DAL7 gene that is observed in vivo.

Transcription factor GATA-4 enhances Müllerian inhibiting substance gene transcription through a direct interaction with the nuclear receptor SF-1

Secretion of Müllerian-inhibiting substance (MIS) by Sertoli cells of the fetal testis and subsequent regression of the Müllerian ducts in the male embryo is a crucial event that contributes to proper sex differentiation. The zinc finger transcription factor GATA-4 and nuclear receptor SF-1 are early markers of Sertoli cells that have been shown to regulate MIS transcription. The fact that the GATA and SF-1 binding sites are adjacent to one another in the MIS promoter raised the possibility that both factors might transcriptionally cooperate to regulate MIS expression. Indeed, coexpression of both factors resulted in a strong synergistic activation of the MIS promoter. GATA-4/SF-1 synergism was the result of a direct protein-protein interaction mediated through the zinc finger region of GATA-4. Remarkably, synergy between GATA-4 and SF-1 on a variety of different SF-1 targets did not absolutely require GATA binding to DNA. Moreover, synergy with SF-1 was also observed with other GATA family members. Thus, these data not only provide a clearer understanding of the molecular mechanisms that control the sex-specific expression of the MIS gene but also reveal a potentially novel mechanism for the regulation of SF-1-dependent genes in tissues where SF-1 and GATA factors are coexpressed.