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Genes have been historically classified as essential or non-essential based on their requirement for viability. However, genomic mutations can sometimes bypass the requirement for an essential gene, challenging the binary classification of gene essentiality. Such dispensable essential genes represent a valuable model for understanding the incomplete penetrance of loss-of-function mutations often observed in natural populations. Here, we compiled data from multiple studies on essential gene dispensability in Saccharomyces cerevisiae to comprehensively characterize these genes. In analyses spanning different evolutionary timescales, dispensable essential genes exhibited distinct phylogenetic properties compared with other essential and non-essential genes. Integration of interactions with suppressor genes that can bypass the gene essentiality revealed the high functional modularity of the bypass suppression network. Furthermore, dispensable essential and bypass suppressor gene pairs reflected simultaneous changes in the mutational landscape of S. cerevisiae strains. Importantly, species in which dispensable essential genes were non-essential tended to carry bypass suppressor mutations in their genomes. Overall, our study offers a comprehensive view of dispensable essential genes and illustrates how their interactions with bypass suppressors reflect evolutionary outcomes., (© 2023 Pons and van Leeuwen.)

An essential gene encodes for a cellular function that is required for viability. Although viability is a straightforward phenotype to analyze in yeast, defining a gene as essential is not always trivial. Gene essentiality has generally been studied in specific laboratory strains and under standard growth conditions, however, essentiality can vary across species, strains, and environments. Recent systematic studies of gene essentiality revealed that two sets of essential genes exist: core essential genes that are always required for viability and conditional essential genes that vary in essentiality in different genetic and environmental contexts. Here, we review recent advances made in the systematic analysis of gene essentiality in yeast and discuss the properties that distinguish core from context-dependent essential genes., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

At the cellular level, many aspects of aging are conserved across species. This has been demonstrated by numerous studies in simple model organisms like Saccharomyces cerevisiae, Caenorhabdits elegans, and Drosophila melanogaster. Because most genetic screens examine loss of function mutations or decreased expression of genes through reverse genetics, essential genes have often been overlooked as potential modulators of the aging process. By taking the approach of increasing the expression level of a subset of conserved essential genes, we found that 21% of these genes resulted in increased replicative lifespan in S. cerevisiae. This is greater than the ~ 3.5% of genes found to affect lifespan upon deletion, suggesting that activation of essential genes may have a relatively disproportionate effect on increasing lifespan. The results of our experiments demonstrate that essential gene overexpression is a rich, relatively unexplored means of increasing eukaryotic lifespan., (© 2022. The Author(s).)

Due to epistasis, the same mutation can have drastically different phenotypic consequences in different individuals. This phenomenon is pertinent to precision medicine as well as antimicrobial drug development, but its general characteristics are largely unknown. We approach this question by genome-wide assessment of gene essentiality polymorphism in 16 Saccharomyces cerevisiae strains using transposon insertional mutagenesis. Essentiality polymorphism is observed for 9.8% of genes, most of which have had repeated essentiality switches in evolution. Genes exhibiting essentiality polymorphism lean toward having intermediate numbers of genetic and protein interactions. Gene essentiality changes tend to occur concordantly among components of the same protein complex or metabolic pathway and among a group of over 100 mitochondrial proteins, revealing molecular machines or functional modules as units of gene essentiality variation. Most essential genes tolerate transposon insertions consistently among strains in one or more coding segments, delineating nonessential regions within essential genes., (© 2022. The Author(s).)

In vivo transposon mutagenesis, coupled with deep sequencing, enables large-scale genome-wide mutant screens for genes essential in different growth conditions. We analyzed six large-scale studies performed on haploid strains of three yeast species (Saccharomyces cerevisiae, Schizosaccaromyces pombe, and Candida albicans), each mutagenized with two of three different heterologous transposons (AcDs, Hermes, and PiggyBac). Using a machine-learning approach, we evaluated the ability of the data to predict gene essentiality. Important data features included sufficient numbers and distribution of independent insertion events. All transposons showed some bias in insertion site preference because of jackpot events, and preferences for specific insertion sequences and short-distance vs long-distance insertions. For PiggyBac, a stringent target sequence limited the ability to predict essentiality in genes with few or no target sequences. The machine learning approach also robustly predicted gene function in less well-studied species by leveraging cross-species orthologs. Finally, comparisons of isogenic diploid versus haploid S. cerevisiae isolates identified several genes that are haplo-insufficient, while most essential genes, as expected, were recessive. We provide recommendations for the choice of transposons and the inference of gene essentiality in genome-wide studies of eukaryotic haploid microbes such as yeasts, including species that have been less amenable to classical genetic studies.

Targeted gene mutation by allelic replacement is important for functional genomic analysis and metabolic engineering. However, it is challenging in mutating the essential genes with the traditional method by using a selection marker, since the first step of essential gene knockout will result in a lethal phenotype. Here, we developed a two-end selection marker (Two-ESM) method for site-directed mutation of essential genes in Saccharomyces cerevisiae with the aid of the CRISPR/Cas9 system. With this method, single and double mutations of the essential gene ERG20 (encoding farnesyl diphosphate synthase) in S. cerevisiae were successfully constructed with high efficiencies of 100%. In addition, the Two-ESM method significantly improved the mutation efficiency and simplified the genetic manipulation procedure compared with traditional methods. The genome integration and mutation efficiencies were further improved by dynamic regulation of mutant gene expression and optimization of the integration modules. This Two-ESM method will facilitate the construction of genomic mutations of essential genes for functional genomic analysis and metabolic flux regulation in yeasts. KEY POINTS: • A Two-ESM strategy achieves mutations of essential genes with high efficiency of 100%. • The optimized three-module method improves the integration efficiency by more than three times. • This method will facilitate the functional genomic analysis and metabolic flux regulation.

Heat shock factor 1 (Hsf1) is a transcription factor that is often described as the master regulator of the heat shock response in all eukaryotes. However, due to its essentiality in yeast, Hsf1's contribution to the transcriptome under basal and heat shock conditions has never been directly determined. Using a chemical genetics approach that allowed rapid Hsf1 inactivation, my colleagues and I have recently shown that the bulk of the heat shock response is Hsf1 independent. Rather than inducing genes responsible for carrying out the various cellular processes required for adaptation to thermal stress, Hsf1 controls a dedicated set of chaperone protein genes devoted to restoring protein-folding homeostasis. The limited scope of the Hsf1 regulon belies its outsize importance in cellular fitness.

As the use of synthetic biology both in industry and in academia grows, there is an increasing need to ensure biocontainment. There is growing interest in engineering bacterial- and yeast-based safeguard (SG) strains. First-generation SGs were based on metabolic auxotrophy; however, the risk of cross-feeding and the cost of growth-controlling nutrients led researchers to look for other avenues. Recent strategies include bacteria engineered to be dependent on nonnatural amino acids and yeast SG strains that have both transcriptional- and recombinational-based biocontainment. We describe improving yeast Saccharomyces cerevisiae -based transcriptional SG strains, which have near-WT fitness, the lowest possible escape rate, and nanomolar ligands controlling growth. We screened a library of essential genes, as well as the best-performing promoter and terminators, yielding the best SG strains in yeast. The best constructs were fine-tuned, resulting in two tightly controlled inducible systems. In addition, for potential use in the prevention of industrial espionage, we screened an array of possible "decoy molecules" that can be used to mask any proprietary supplement to the SG strain, with minimal effect on strain fitness.

Background: Computational approaches aided by computer science have been used to predict essential proteins and are faster than expensive, time-consuming, laborious experimental approaches. However, the performance of such approaches is still poor, making practical applications of computational approaches difficult in some fields. Hence, the development of more suitable and efficient computing methods is necessary for identification of essential proteins., Method: In this paper, we propose a new method for predicting essential proteins in a protein interaction network, local interaction density combined with protein complexes (LIDC), based on statistical analyses of essential proteins and protein complexes. First, we introduce a new local topological centrality, local interaction density (LID), of the yeast PPI network; second, we discuss a new integration strategy for multiple bioinformatics. The LIDC method was then developed through a combination of LID and protein complex information based on our new integration strategy. The purpose of LIDC is discovery of important features of essential proteins with their neighbors in real protein complexes, thereby improving the efficiency of identification., Results: Experimental results based on three different PPI(protein-protein interaction) networks of Saccharomyces cerevisiae and Escherichia coli showed that LIDC outperformed classical topological centrality measures and some recent combinational methods. Moreover, when predicting MIPS datasets, the better improvement of performance obtained by LIDC is over all nine reference methods (i.e., DC, BC, NC, LID, PeC, CoEWC, WDC, ION, and UC)., Conclusions: LIDC is more effective for the prediction of essential proteins than other recently developed methods.

To determine whether genes retain ancestral functions over a billion years of evolution and to identify principles of deep evolutionary divergence, we replaced 414 essential yeast genes with their human orthologs, assaying for complementation of lethal growth defects upon loss of the yeast genes. Nearly half (47%) of the yeast genes could be successfully humanized. Sequence similarity and expression only partly predicted replaceability. Instead, replaceability depended strongly on gene modules: Genes in the same process tended to be similarly replaceable (e.g., sterol biosynthesis) or not (e.g., DNA replication initiation). Simulations confirmed that selection for specific function can maintain replaceability despite extensive sequence divergence. Critical ancestral functions of many essential genes are thus retained in a pathway-specific manner, resilient to drift in sequences, splicing, and protein interfaces., (Copyright © 2015, American Association for the Advancement of Science.)

Biocontainment may be required in a wide variety of situations such as work with pathogens, field release applications of engineered organisms, and protection of intellectual properties. Here, we describe the control of growth of the brewer's yeast, Saccharomyces cerevisiae, using both transcriptional and recombinational "safeguard" control of essential gene function. Practical biocontainment strategies dependent on the presence of small molecules require them to be active at very low concentrations, rendering them inexpensive and difficult to detect. Histone genes were controlled by an inducible promoter and controlled by 30 nM estradiol. The stability of the engineered genes was separately regulated by the expression of a site-specific recombinase. The combined frequency of generating viable derivatives when both systems were active was below detection (<10(-10)), consistent with their orthogonal nature and the individual escape frequencies of <10(-6). Evaluation of escaper mutants suggests strategies for reducing their emergence. Transcript profiling and growth test suggest high fitness of safeguarded strains, an important characteristic for wide acceptance.

Oxidative stress mediated by reactive oxygen species (ROS) is linked to degenerative conditions in humans and damage to an array of cellular components. However, it is unclear which molecular target(s) may be the primary "Achilles' heel" of organisms, accounting for the inhibitory action of ROS. Rli1p (ABCE1) is an essential and highly conserved protein of eukaryotes and archaea that requires notoriously ROS-labile cofactors (Fe-S clusters) for its functions in protein synthesis. In this study, we tested the hypothesis that ROS toxicity is caused by Rli1p dysfunction. In addition to being essential, Rli1p activity (in nuclear ribosomal-subunit export) was shown to be impaired by mild oxidative stress in yeast. Furthermore, prooxidant resistance was decreased by RLI1 repression and increased by RLI1 overexpression. This Rlip1 dependency was abolished during anaerobicity and accentuated in cells expressing a FeS cluster-defective Rli1p construct. The protein's FeS clusters appeared ROS labile during in vitro incubations, but less so in vivo. Instead, it was primarily (55)FeS-cluster supply to Rli1p that was defective in prooxidant-exposed cells. The data indicate that, owing to its essential nature but dependency on ROS-labile FeS clusters, Rli1p function is a primary target of ROS action. Such insight could help inform new approaches for combating oxidative stress-related disease.

Gene essentiality changes are crucial for organismal evolution. However, it is unclear how essentiality of orthologs varies across species. We investigated the underlying mechanism of gene essentiality changes between yeast and mouse based on the framework of network evolution and comparative genomic analysis. We found that yeast nonessential genes become essential in mouse when their network connections rapidly increase through engagement in protein complexes. The increased interactions allowed the previously nonessential genes to become members of vital pathways. By accounting for changes in gene essentiality, we firmly reestablished the centrality-lethality rule, which proposed the relationship of essential genes and network hubs. Furthermore, we discovered that the number of connections associated with essential and non-essential genes depends on whether they were essential in ancestral species. Our study describes for the first time how network evolution occurs to change gene essentiality.

Genes that are essential for growth in yeast were screened to identify those involved in arsenite sensitivity. We found that the knockdown of YPT1, ERG8, or RKI1 enhanced arsenite sensitivity in yeast.

Background: Saccharomyces cerevisiae is the first eukaryotic organism for which a multi-compartment genome-scale metabolic model was constructed. Since then a sequence of improved metabolic reconstructions for yeast has been introduced. These metabolic models have been extensively used to elucidate the organizational principles of yeast metabolism and drive yeast strain engineering strategies for targeted overproductions. They have also served as a starting point and a benchmark for the reconstruction of genome-scale metabolic models for other eukaryotic organisms. In spite of the successive improvements in the details of the described metabolic processes, even the recent yeast model (i.e., iMM904) remains significantly less predictive than the latest E. coli model (i.e., iAF1260). This is manifested by its significantly lower specificity in predicting the outcome of grow/no grow experiments in comparison to the E. coli model., Results: In this paper we make use of the automated GrowMatch procedure for restoring consistency with single gene deletion experiments in yeast and extend the procedure to make use of synthetic lethality data using the genome-scale model iMM904 as a basis. We identified and vetted using literature sources 120 distinct model modifications including various regulatory constraints for minimal and YP media. The incorporation of the suggested modifications led to a substantial increase in the fraction of correctly predicted lethal knockouts (i.e., specificity) from 38.84% (87 out of 224) to 53.57% (120 out of 224) for the minimal medium and from 24.73% (45 out of 182) to 40.11% (73 out of 182) for the YP medium. Synthetic lethality predictions improved from 12.03% (16 out of 133) to 23.31% (31 out of 133) for the minimal medium and from 6.96% (8 out of 115) to 13.04% (15 out of 115) for the YP medium., Conclusions: Overall, this study provides a roadmap for the computationally driven correction of multi-compartment genome-scale metabolic models and demonstrates the value of synthetic lethals as curation agents.

Gene expression responds to changes in conditions but also stochastically among individuals. In budding yeast, both expression responsiveness across conditions ("plasticity") and cell-to-cell variation ("noise") have been quantified for thousands of genes and found to correlate across genes. It has been argued therefore that noise and plasticity may be strongly coupled and mechanistically linked. This is consistent with some theoretical ideas, but a strong coupling between noise and plasticity also has the potential to introduce cost-benefit conflicts during evolution. For example, if high plasticity is beneficial (genes need to respond to the environment), but noise is detrimental (fluctuations are harmful), then strong coupling should be disfavored. Here, evidence is presented that cost-benefit conflicts do occur and that they constrain the evolution of gene expression and promoter usage. In contrast to recent assertions, coupling between noise and plasticity is not a general property, but one associated with particular mechanisms of transcription initiation. Further, promoter architectures associated with coupling are avoided when noise is most likely to be detrimental, and noise and plasticity are largely independent traits for core cellular components. In contrast, when genes are duplicated noise-plasticity coupling increases, consistent with reduced detrimental affects of expression variation. Noise-plasticity coupling is, therefore, an evolvable trait that may constrain the emergence of highly responsive gene expression and be selected against during evolution. Further, the global quantitative data in yeast suggest that one mechanism that relieves the constraints imposed by noise-plasticity coupling is gene duplication, providing an example of how duplication can facilitate escape from adaptive conflicts., Competing Interests: The authors have declared that no competing interests exist.

Molecular interaction networks establish all cell biological processes. The networks are under intensive research that is facilitated by new high-throughput measurement techniques for the detection, quantification, and characterization of molecules and their physical interactions. For the common model organism yeast Saccharomyces cerevisiae, public databases store a significant part of the accumulated information and, on the way to better understanding of the cellular processes, there is a need to integrate this information into a consistent reconstruction of the molecular interaction network. This work presents and validates RefRec, the most comprehensive molecular interaction network reconstruction currently available for yeast. The reconstruction integrates protein synthesis pathways, a metabolic network, and a protein-protein interaction network from major biological databases. The core of the reconstruction is based on a reference object approach in which genes, transcripts, and proteins are identified using their primary sequences. This enables their unambiguous identification and non-redundant integration. The obtained total number of different molecular species and their connecting interactions is approximately 67,000. In order to demonstrate the capacity of RefRec for functional predictions, it was used for simulating the gene knockout damage propagation in the molecular interaction network in approximately 590,000 experimentally validated mutant strains. Based on the simulation results, a statistical classifier was subsequently able to correctly predict the viability of most of the strains. The results also showed that the usage of different types of molecular species in the reconstruction is important for accurate phenotype prediction. In general, the findings demonstrate the benefits of global reconstructions of molecular interaction networks. With all the molecular species and their physical interactions explicitly modeled, our reconstruction is able to serve as a valuable resource in additional analyses involving objects from multiple molecular -omes. For that purpose, RefRec is freely available in the Systems Biology Markup Language format.

Understanding complex genotype-by-environment interactions (GEIs) is crucial for understanding phenotypic variation. An important factor often overlooked in GEI studies is time. We measured the contribution of GEIs to expression variation in four nonlaboratory Saccharomyces cerevisiae strains responding dynamically to a 25 degrees -37 degrees heat shock. GEI was a major force explaining expression variation, affecting 55% of the genes analyzed. Importantly, almost half of these expression patterns showed GEI influence only during the transition between environments, but not in acclimated cells. This class reveals a genotype-by-environment-by-time interaction that affected expression of a large fraction of yeast genes. Strikingly, although transcripts subject to persistent GEI effects were enriched for nonessential genes with upstream TATA elements, those displaying transient GEIs were enriched for essential genes regardless of TATA regulation. Genes subject to persistent GEI influences showed relaxed constraint on acclimated gene expression compared to the average yeast gene, whereas genes restricted to transient GEIs did not. We propose that transient GEI during the transition between environments provides a previously unappreciated source of expression variation, particularly for essential genes.

Background: The mitochondrial respiratory chain produces metabolic energy by oxidative phosphorylation. Biogenesis of the respiratory chain requires the coordinated expression of two genomes: the nuclear genome encoding the vast majority of mitochondrial proteins, and the mitochondrial genome encoding a handful of mitochondrial proteins. The understanding of the molecular processes contributing to respiratory chain assembly and maintenance requires the systematic identification and functional analysis of the genes involved., Results: We pursued a systematic, genome-wide approach to define the sets of genes required for respiratory activity and maintenance and expression of the mitochondrial genome in yeast. By comparative gene deletion analysis we found an unexpected phenotypic plasticity among respiratory-deficient mutants, and we identified ten previously uncharacterized genes essential for respiratory growth (RRG1 through RRG10). Systematic functional analysis of 319 respiratory-deficient mutants revealed 16 genes essential for maintenance of the mitochondrial genome, 88 genes required for mitochondrial protein translation, and 10 genes required for expression of specific mitochondrial gene products. A group of mutants acquiring irreversible damage compromising respiratory capacity includes strains defective in assembly of the cytochrome c oxidase that were found to be particularly sensitive to aging., Conclusions: These data advance the understanding of the molecular processes contributing to maintenance of the mitochondrial genome, mitochondrial protein translation, and assembly of the respiratory chain. They revealed a number of previously uncharacterized components, and provide a comprehensive picture of the molecular processes required for respiratory activity in a simple eukaryotic cell.

Background: Genes in populations are in constant flux, being gained through duplication and occasionally retained or, more frequently, lost from the genome. In this study we compare pairs of identifiable gene duplicates generated by small-scale (predominantly single-gene) duplications with those created by a large-scale gene duplication event (whole-genome duplication) in the yeast Saccharomyces cerevisiae., Results: We find a number of quantifiable differences between these data sets. Whole-genome duplicates tend to exhibit less profound phenotypic effects when deleted, are functionally less divergent, and are associated with a different set of functions than their small-scale duplicate counterparts. At first sight, either of these latter two features could provide a plausible mechanism by which the difference in dispensability might arise. However, we uncover no evidence suggesting that this is the case. We find that the difference in dispensability observed between the two duplicate types is limited to gene products found within protein complexes, and probably results from differences in the relative strength of the evolutionary pressures present following each type of duplication event., Conclusion: Genes, and the proteins they specify, originating from small-scale and whole-genome duplication events differ in quantifiable ways. We infer that this is not due to their association with different functional categories; rather, it is a direct result of biases in gene retention.

Mutations impacting specific stages of cell growth and division have provided a foundation for dissecting mechanisms that underlie cell cycle progression. We have undertaken an objective examination of the yeast cell cycle through flow cytometric analysis of DNA content in TetO(7) promoter mutant strains representing 75% of all essential yeast genes. More than 65% of the strains displayed specific alterations in DNA content, suggesting that reduced function of an essential gene in most cases impairs progression through a specific stage of the cell cycle. Because of the large number of essential genes required for protein biosynthesis, G1 accumulation was the most common phenotype observed in our analysis. In contrast, relatively few mutants displayed S-phase delay, and most of these were defective in genes required for DNA replication or nucleotide metabolism. G2 accumulation appeared to arise from a variety of defects. In addition to providing a global view of the diversity of essential cellular processes that influence cell cycle progression, these data also provided predictions regarding the functions of individual genes: we identified four new genes involved in protein trafficking (NUS1, PHS1, PGA2, PGA3), and we found that CSE1 and SMC4 are important for DNA replication.

Two new studies tackle the complexities of synthetic genetic interaction--identifying relationships between gene products that interact functionally rather than physically.

The nature of synthetic genetic interactions involving essential genes (those required for viability) has not been previously examined in a broad and unbiased manner. We crossed yeast strains carrying promoter-replacement alleles for more than half of all essential yeast genes to a panel of 30 different mutants with defects in diverse cellular processes. The resulting genetic network is biased toward interactions between functionally related genes, enabling identification of a previously uncharacterized essential gene (PGA1) required for specific functions of the endoplasmic reticulum. But there are also many interactions between genes with dissimilar functions, suggesting that individual essential genes are required for buffering many cellular processes. The most notable feature of the essential synthetic genetic network is that it has an interaction density five times that of nonessential synthetic genetic networks, indicating that most yeast genetic interactions involve at least one essential gene.

The mechanistic bases for gene essentiality and for cell mutational resistance have long been disputed. The recent availability of large protein interaction databases has fuelled the analysis of protein interaction networks and several authors have proposed that gene dispensability could be strongly related to some topological parameters of these networks. However, many results were based on protein interaction data whose biases were not taken into account. In this article, we show that the essentiality of a gene in yeast is poorly related to the number of interactants (or degree) of the corresponding protein and that the physiological consequences of gene deletions are unrelated to several other properties of proteins in the interaction networks, such as the average degrees of their nearest neighbours, their clustering coefficients or their relative distances. We also found that yeast protein interaction networks lack degree correlation, i.e. a propensity for their vertices to associate according to their degrees. Gene essentiality and more generally cell resistance against mutations thus seem largely unrelated to many parameters of protein network topology.

Most cells on earth exist in a quiescent state. In yeast, quiescence is induced by carbon starvation, and exit occurs when a carbon source becomes available. To understand how cells survive in, and exit from this state, mRNA abundance was examined using oligonucleotide-based microarrays and quantitative reverse transcription-polymerase chain reaction. Cells in stationary-phase cultures exhibited a coordinated response within 5-10 min of refeeding. Levels of >1800 mRNAs increased dramatically (>or=64-fold), and a smaller group of stationary-phase mRNAs decreased in abundance. Motif analysis of sequences upstream of genes clustered by VxInsight identified an overrepresentation of Rap1p and BUF (RPA) binding sites in genes whose mRNA levels rapidly increased during exit. Examination of 95 strains carrying deletions in stationary-phase genes induced identified 32 genes essential for survival in stationary-phase at 37 degrees C. Analysis of these genes suggests that mitochondrial function is critical for entry into stationary-phase and that posttranslational modifications and protection from oxidative stress become important later. The phylogenetic conservation of stationary-phase genes, and our findings that two-thirds of the essential stationary-phase genes have human homologues and of these, many have human homologues that are disease related, demonstrate that yeast is a bona fide model system for studying the quiescent state of eukaryotic cells.

Since chromosomal instability (CIN) is a hallmark of most cancer cells, it is essential to identify genes whose alteration results into this genetic instability. Using a yeast CIN indicator strain, we show that inactivation of the YMR131c/RRB1 gene, which is involved in early ribosome assembly and whose expression is induced when the spindle checkpoint is activated, alters chromosome segregation and blocks mitosis at the metaphase/anaphase transition. We demonstrate that RRB1 interacts with YPH1 (yeast pescadillo homologue 1) and other members of the Yph1 complex, RPL3, ERB1 and ORC6, involved in ribosome biogenesis and DNA replication. Transient depletion of the human homologues GRWD, Pescadillo, Rpl3, Bop1 and Orc6L resulted in an increase of abnormal mitoses with appearance of binucleate or hyperploid cells, of cells with multipolar spindles and of aberrant metaphase plates. If deregulation of proteins involved in ribosome biogenesis, commonly observed in malignant tumors, could contribute to cancer through an aberrant protein synthesis, our study demonstrates that alteration of proteins linking ribosome biogenesis and DNA replication may directly cause CIN.

Yaf9, Taf14, and Sas5 comprise the YEATS domain family in Saccharomyces cerevisiae, which in humans includes proteins involved in acute leukemias. The YEATS domain family is essential, as a yaf9Delta taf14Delta sas5Delta triple mutant is nonviable. We verify that Yaf9 is a stable component of NuA4, an essential histone H4 acetyltransferase complex. Yaf9 is also associated with the SWR1 complex, which deposits the histone H2A variant Htz1. However, the functional contribution of Yaf9 to these complexes has not been determined. Strains lacking YAF9 are sensitive to DNA-damaging agents, cold, and caffeine, and the YEATS domain is required for full Yaf9 function. NuA4 lacking Yaf9 retains histone acetyltransferase activity in vitro, and Yaf9 does not markedly reduce bulk H4 acetylation levels, suggesting a role for Yaf9 in the targeting or regulation of NuA4. Interestingly, yaf9Delta strains display reduced transcription of genes near certain telomeres, and their repression is correlated with reduced H4 acetylation, reduced occupancy by Htz1, and increased occupancy by the silencing protein Sir3. Additionally, the spectra of phenotypes, genes, and telomeres affected in yaf9Delta and htz1Delta strains are significantly similar, further supporting a role for Yaf9 in Htz1 deposition. Taken together, these data indicate that Yaf9 may function in NuA4 and SWR1 complexes to help antagonize silencing near telomeres.

Under laboratory conditions 80% of yeast genes seem not to be essential for viability. This raises the question of what the mechanistic basis for dispensability is, and whether it is the result of selection for buffering or an incidental side product. Here we analyse these issues using an in silico flux model of the yeast metabolic network. The model correctly predicts the knockout fitness effects in 88% of the genes studied and in vivo fluxes. Dispensable genes might be important, but under conditions not yet examined in the laboratory. Our model indicates that this is the dominant explanation for apparent dispensability, accounting for 37-68% of dispensable genes, whereas 15-28% of them are compensated by a duplicate, and only 4-17% are buffered by metabolic network flux reorganization. For over one-half of those not important under nutrient-rich conditions, we can predict conditions when they will be important. As expected, such condition-specific genes have a more restricted phylogenetic distribution. Gene duplicates catalysing the same reaction are not more common for indispensable reactions, suggesting that the reason for their retention is not to provide compensation. Instead their presence is better explained by selection for high enzymatic flux.

The essential GAB1 gene, which encodes an endoplasmic reticulum (ER)-membrane protein, was identified in a screen for mutants defective in cellular morphogenesis. A temperature-sensitive gab1 mutant accumulates complete glycosylphosphatidylinositol (GPI) precursors, and its temperature sensitivity is suppressed differentially by overexpression of different subunits of the GPI transamidase, from strong suppression by Gpi8p and Gpi17p, to weak suppression by Gaa1p, and to no suppression by Gpi16p. In addition, both Gab1p and Gpi17p localize to the ER and are in the same protein complex in vivo. These findings suggest that Gab1p is a subunit of the GPI transamidase with distinct relationships to other subunits in the same complex. We also show that depletion of Gab1p or Gpi8p, but not Gpi17p, Gpi16p, or Gaa1p causes accumulation of cofilin-decorated actin bars that are closely associated with the perinuclear ER, which highlights a functional interaction between the ER network and the actin cytoskeleton.

We describe here a screening procedure devised for searching new genes involved in protein secretion in Saccharomyces cerevisiae. The screening procedure takes advantage of yeast strains constructed within the EUROFAN project, in which the promoters of the novel essential genes were replaced by the doxycycline-regulated tetO(7)-CYC1 promoter. This promoter is active in normal growth medium but results in downregulation of the gene in the presence of doxycycline. The yeast cells were grown in the presence or absence of doxycycline, and both the growth and secretion of the heat shock protein, Hsp150p, into the culture medium were determined. In seven strains there was a specific effect on protein secretion. In a strain in which the RPN5 gene was downregulated, the level of secreted Hsp150p was increased compared to the control culture. When RER2 was downregulated, cells secreted Hsp150p that was not of the mature size. In five strains, secretion was more severely reduced than cell growth. One of these downregulated genes, YGL098w, was recently reported to encode an ER-located t-SNARE, USE1. Four of the genes detected, NOG2, NOP15, RRP40 and SDA1, encode proteins involved in ribosome assembly, suggesting a possible new signalling pathway between ribosome biogenesis and production of secreted proteins. The results obtained here indicate that the present screen could be successfully used in larger scale to identify novel secretion-related genes., (Copyright 2004 John Wiley & Sons, Ltd.)

Regulatable promoters are commonly used to control the expression of, especially, essential genes in a conditional manner. Integration of such promoters upstream of an ORF using one-step PCR-mediated homologous recombination should be particularly efficient. However, integration of the original KanMX4-tetO promoter cassette (Belli et al., 1998a) into the relatively short upstream regions of many yeast genes is often problematic, presumably due to the size (3.9 kb) of the replacement cassette. We have created a new, shorter, KanMX4-tetO cassette by removing the transactivator (tTA) sequence from the original cassette. The transactivator (tTA) has been integrated into the yeast genome to create a new strain for use with the new system, which has a greatly increased efficiency of promoter substitution. With it, we have been able to create strains that could not be made with the original cassette. To increase the throughput of promoter substitutions, we have developed a new assay for testing doxycycline sensitivity, based on liquid culture using microtitre trays. Altogether, the components of this new 'tool kit' greatly increase the efficiency of systematic promoter substitutions., (Copyright 2003 John Wiley & Sons, Ltd.)

Background: Termination of protein synthesis in eukaryotes involves at least two polypeptide release factors (eRFs) - eRF1 and eRF3. The highly conserved translation termination factor eRF1 in Saccharomyces cerevisiae is encoded by the essential gene SUP45., Results: We have isolated five sup45-n (n from nonsense) mutations that cause nonsense substitutions in the following amino acid positions of eRF1: Y53 --> UAA, E266 --> UAA, L283 --> UAA, L317 --> UGA, E385 --> UAA. We found that full-length eRF1 protein is present in all mutants, although in decreased amounts. All mutations are situated in a weak termination context. All these sup45-n mutations are viable in different genetic backgrounds, however their viability increases after growth in the absence of wild-type allele. Any of sup45-n mutations result in temperature sensitivity (37 degrees C). Most of the sup45-n mutations lead to decreased spore viability and spores bearing sup45-n mutations are characterized by limited budding after germination leading to formation of microcolonies of 4-20 cells., Conclusions: Nonsense mutations in the essential gene SUP45 can be isolated in the absence of tRNA nonsense suppressors.

Gene inactivation is the cornerstone of functional genetic analysis, but the analysis of essential genes requires conditional inactivation of the gene product. A new study has adapted a simple method for creating conditional alleles to allow large-scale analysis of essential genes in Saccharomyces cerevisiae and has identified a role in DNA replication for a newly identified protein complex.

Dissection of complex processes using model organisms such as yeasts relies heavily upon the use of conditional mutants. We have generated a collection of fission yeast mutants sensitive to dimethylsulphoxide (DMSO). Among these we have found a mutant in the Schizosaccharomyces pombe orthologue of the Saccharomyces cerevisiae SEC13 gene, which fails to cleave the division septum. Generation of a null allele demonstrates that the S. pombe sec13 gene is essential.

Longstanding observations suggest that acetylation and/or amino-terminal tail structure of histones H3 and H4 are critical for eukaryotic cells. For Saccharomyces cerevisiae, loss of a single H4-specific histone acetyltransferase (HAT), Esa1p, results in cell cycle defects and death. In contrast, although several yeast HAT complexes preferentially acetylate histone H3, the catalytic subunits of these complexes are not essential for viability. To resolve the apparent paradox between the significance of H3 versus H4 acetylation, we tested the hypothesis that H3 modification is essential, but is accomplished through combined activities of two enzymes. We observed that Sas3p and Gcn5p HAT complexes have overlapping patterns of acetylation. Simultaneous disruption of SAS3, the homolog of the MOZ leukemia gene, and GCN5, the hGCN5/PCAF homolog, is synthetically lethal due to loss of acetyltransferase activity. This key combination of activities is specific for these two HATs because neither is synthetically lethal with mutations of other MYST family or H3-specific acetyltransferases. Further, the combined loss of GCN5 and SAS3 functions results in an extensive, global loss of H3 acetylation and arrest in the G(2)/M phase of the cell cycle. The strikingly similar effect of loss of combined essential H3 HAT activities and the loss of a single essential H4 HAT underscores the fundamental biological significance of each of these chromatin-modifying activities.

The increased tumor incidence in telomerase null mice suggests that telomere dysfunction induces genetic instability. To test this directly, we examined mutation rate in the absence of telomerase in S. cerevisiae. The mutation rate in the CAN1 gene increased 10- to 100-fold in est1Delta strains as telomeres became dysfunctional. This increased mutation rate resulted from an increased frequency of terminal deletions. Chromosome fusions were recovered from est1Delta strains, suggesting that the terminal deletions may occur by a breakage-fusion-bridge type mechanism. At one locus, chromosomes with terminal deletions gained a new telomere through a Rad52p-dependent, Rad51p-independent process consistent with break-induced replication. At a second locus, more complicated rearrangements involving multiple chromosomes were seen. These data suggest that telomerase can inhibit chromosomal instability.

Six open reading frames (ORFs) located on chromosome VII of Saccharomyces cerevisiae (YGR205w, YGR210c, YGR211w, YGR241c, YGR243w and YGR244c) were disrupted in two different genetic backgrounds using short-flanking homology (SFH) gene replacement. Sporulation and tetrad analysis showed that YGR211w, recently identified as the yeast ZPR1 gene, is an essential gene. The other five genes are non-essential, and no phenotypes could be associated to their inactivation. Two of these genes have recently been further characterized: YGR241c (YAP1802) encodes a yeast adaptor protein and YGR244c (LSC2) encodes the beta-subunit of the succinyl-CoA ligase. For each ORF, a replacement cassette with long flanking regions homologous to the target locus was cloned in pUG7, and the cognate wild-type gene was cloned in pRS416., (Copyright 2001 John Wiley & Sons, Ltd.)

Zinc cluster proteins (or binuclear cluster proteins) possess zinc fingers of the Zn(II)2Cys6-type involved in DNA recognition as exemplified by the well-characterized protein Gal4p. These fungal proteins are transcriptional regulators of genes involved in a wide variety of cellular processes including metabolism of compounds such as amino acids and sugars, as well as control of meiosis, multi-drug resistance etc. The yeast (Saccharomyces cerevisiae) sequencing project has allowed the identification of additional zinc cluster proteins for a total of 54. However, the role of many of these putative zinc cluster proteins is unknown. We have performed phenotypic analysis of 33 genes encoding (putative) zinc cluster proteins. Only two members of the GAL4 family are essential genes. Our results show that deletion of eight different zinc cluster genes impairs growth on non-fermentable carbon sources. The same strains are also hypersensitive to the antifungal calcofluor white suggesting a role for these genes in cell wall integrity. In addition, one of these strains (YFL052W) is also heat sensitive on rich (but not minimal) plates. Thus, deletion of YFL052W results in sensitivity to a combination of low osmolarity and high temperature. In addition, six strains are hypersensitive to caffeine, an inhibitor of the MAP kinase pathway and phosphodiesterase of the cAMP pathway. In conclusion, our analysis assigns phenotypes to a number of genes and provides a basis to better understand the role of these transcriptional regulators.

In Saccharomyces cerevisiae, Cdc13 has been proposed to mediate telomerase recruitment at telomere ends. Stn1, which associates with Cdc13 by the two-hybrid interaction, has been implicated in telomere maintenance. Ten1, a previously uncharacterized protein, was found to associate physically with both Stn1 and Cdc13. A binding defect between Stn1-13 and Ten1 was responsible for the long telomere phenotype of stn1-13 mutant cells. Moreover, rescue of the cdc13-1 mutation by STN1 was much improved when TEN1 was simultaneously overexpressed. Several ten1 mutations were found to confer telomerase-dependent telomere lengthening. Other, temperature-sensitive, mutants of TEN1 arrested at G(2)/M via activation of the Rad9-dependent DNA damage checkpoint. These ten1 mutant cells were found to accumulate single-stranded DNA in telomeric regions of the chromosomes. We propose that Ten1 is required to regulate telomere length, as well as to prevent lethal damage to telomeric DNA.

In budding yeast, the Rho-type GTPase Cdc42p is essential for cell division and regulates pseudohyphal development and invasive growth. Here, we isolated novel Cdc42p mutant proteins with single-amino-acid substitutions that are sufficient to uncouple functions of Cdc42p essential for cell division from regulatory functions required for pseudohyphal development and invasive growth. In haploid cells, Cdc42p is able to regulate invasive growth dependent on and independent of FLO11 gene expression. In diploid cells, Cdc42p regulates pseudohyphal development by controlling pseudohyphal cell (PH cell) morphogenesis and invasive growth. Several of the Cdc42p mutants isolated here block PH cell morphogenesis in response to nitrogen starvation without affecting morphology or polarity of yeast form cells in nutrient-rich conditions, indicating that these proteins are impaired for certain signaling functions. Interaction studies between development-specific Cdc42p mutants and known effector proteins indicate that in addition to the p21-activated (PAK)-like protein kinase Ste20p, the Cdc42p/Rac-interactive-binding domain containing Gic1p and Gic2p proteins and the PAK-like protein kinase Skm1p might be further effectors of Cdc42p that regulate pseudohyphal and invasive growth.

The class C subset of vacuolar protein sorting (Vps) proteins (Vps11, Vps18, Vps16 and Vps33) assembles into a vacuole/prevacuole-associated complex. Here we demonstrate that the class C-Vps complex contains two additional proteins, Vps39 and Vps41. The COOH-terminal 148 amino acids of Vps39 direct its association with the class C-Vps complex by binding to Vps11. A previous study has shown that a large protein complex containing Vps39 and Vps41 functions as a downstream effector of the active, GTP-bound form of Ypt7, a rab GTPase required for the fusion of vesicular intermediates with the vacuole (Price, A., D. Seals, W. Wickner, and C. Ungermann. 2000. J. Cell Biol. 148:1231-1238). Here we present data that indicate that this complex also functions to stimulate nucleotide exchange on Ypt7. We show that Vps39 directly binds the GDP-bound and nucleotide-free forms of Ypt7 and that purified Vps39 stimulates nucleotide exchange on Ypt7. We propose that the class C-Vps complex both promotes Vps39-dependent nucleotide exchange on Ypt7 and, based on the work of Price et al., acts as a Ypt7 effector that tethers transport vesicles to the vacuole. Thus, the class C-Vps complex directs multiple reactions during the docking and fusion of vesicles with the vacuole, each of which contributes to the overall specificity and efficiency of this transport process.

The PDS5 gene (precocious dissociation of sisters) was identified in a genetic screen designed to identify genes important for chromosome structure. PDS5 is an essential gene and homologues are found from yeast to humans. Pds5p function is important for viability from S phase through mitosis and localizes to chromosomes during this cell cycle window, which encompasses the times when sister chromatid cohesion exists. Pds5p is required to maintain cohesion at centromere proximal and distal sequences. These properties are identical to those of the four cohesion complex members Mcd1p/Scc1p, Smc1p, Smc3p, and Scc3p/Irr1p (Guacci, V., D. Koshland, and A. Strunnikov. 1997. Cell. 91:47-57; Michaelis, C., R. Ciosk, and K. Nasmyth. 1997. Cell. 91:35-45; Toth, A., R. Ciosk, F. Uhlmann, M. Galova, A. Schleiffer, and K. Nasmyth. 1999. Genes Dev. 13:307-319). Pds5p binds to centromeric and arm sequences bound by Mcd1p. Furthermore, Pds5p localization to chromosomes is dependent on Mcd1p. Thus, Pds5p, like the cohesin complex members, is a component of the molecular glue that mediates sister chromatid cohesion. However, Mcd1p localization to chromosomes is independent of Pds5p, which may reflect differences in their roles in cohesion. Finally, Pds5p is required for condensation as well as cohesion, which confirms the link between these processes revealed through analysis of Mcd1p (Guacci, V., D. Koshland, and A. Strunnikov. 1997. Cell. 91:47-57). Therefore, the link between cohesion and condensation is a general property of yeast chromosomes.

Nucleosomes impose a block to transcription that can be overcome in vivo by remodeling complexes such as SNF/SWI and histone modification complexes such as SAGA. Mutations in the major core histones relieve transcriptional repression and bypass the requirement for SNF/SWI and SAGA. We have found that the variant histone H2A.Z regulates gene transcription, and deletion of the gene encoding H2A.Z strongly increases the requirement for SNF/SWI and SAGA. This synthetic genetic interaction is seen at the level of single genes and acts downstream of promoter nucleosome reorganization. H2A.Z is preferentially crosslinked in vivo to intergenic DNA at the PH05 and GAL1 loci, and this association changes with transcriptional activation. These results describe a novel pathway for regulating transcription using variant histones to modulate chromatin structure.

The mediator complex in the RNA polymerase II holoenzyme is known to be involved in transcriptional activation. The role of the essential mediator component Srb7p has been difficult to investigate, since no conditional lethal allele has been available to date. While the expression of Srb7p under the control of a repressible promoter is not sufficient to reduce the level of Srb7p beneath the threshold for survival, we have been able to isolate a clone termed ts16 which confers a temperature sensitive phenotype. ts16 contains an insertion mutation that requires translational frameshifting for correct expression of Srb7p, leading to extremely low protein levels. Strains bearing the ts16 construct show mild defects in the transcription of constitutive genes like TDH1 but severely affect activated transcription, e.g. of the GAL1 gene. In contrast, CUP1, which is also independent of other holoenzyme components, is not affected by ts16.

We here report the identification of the previously uncharacterized SGD1 gene, encoding a 102.8-kDa protein containing a leucine zipper region and a bipartite nuclear localization signal. Deletion of SGD1 results in loss of cell viability, while an increased dosage of SGD1 partially suppresses the osmosensitivity of pbs2 delta and hog1 delta mutants that are defective in the osmosignaling high osmolarity glycerol (HOG) mitogen-activated protein kinase pathway. The rescued mutants display a partially re-established transcriptional control of the osmostress-induced expression of GPD1, a target gene of the HOG pathway encoding NAD(+)-dependent glycerol 3-phosphate dehydrogenase, and a partially recovered hyperosmolarity-induced production of glycerol. Consistent with Sgd1p affecting the transcriptional control of GPD1, a functional green fluorescent protein tagged Sgd1p is localized to the cell nucleus.

The five Saccharomyces cerevisiae Not proteins are associated with the Ccr4 and Caf1 proteins in 1.2 MDa and 2 MDa complexes. The Not proteins have been proposed to repress transcription of promoters that do not contain a canonical TATA sequence, while the Ccr4 and Caf1 proteins are required for non-fermentative gene expression. The mechanism of transcriptional regulation by the Ccr4-Not complex is unknown and the role of its different components is unclear. Only Not1p is essential for yeast viability.Here, we show that most strains carrying combinations of two null alleles of the non-essential CCR4-NOT genes are non-viable. This would suggest that the Ccr4-Not complex is essential. We find that Not1p consists of at least two domains, a C-terminal domain that is essential for yeast viability, and a N-terminal domain that is dispensable but required for yeast wild-type growth. The essential C-terminal domain of Not1p can associate with Not5p, and both proteins are present in 1.2 and 2 MDa complexes in the absence of the N-terminal Not1p domain. In contrast, in the absence of the N-terminal domain of Not1p, Ccr4p does not efficiently associate in large complexes nor with the C-terminal domain of Not1p. Healthy growth is observed when both domains of Not1p are expressed in trans, and is correlated with their physical association, together with Ccr4p, in large complexes. These results are consistent with the essential function of Not1p lying within the Ccr4-Not complex., (Copyright 2000 Academic Press.)

DNA polymerase epsilon (Polepsilon) of Saccharomyces cerevisiae is purified as a complex of four polypeptides with molecular masses of >250, 80, 34 (and 31) and 29 kDa as determined by SDS-PAGE. The genes POL2, DPB2 and DPB3, encoding the catalytic Pol2p, the second (Dpb2p) and the third largest subunits (Dpb3p) of the complex, respectively, were previously cloned and characterised. This paper reports the partial amino acid sequence of the fourth subunit (Dpb4p) of Polepsilon. This protein sequence matches parts of the predicted amino acid sequence from the YDR121w open reading frame on S.cerevisiae chromosome IV. Thus, YDR121w was renamed DPB4. A deletion mutant of DPB4 (Deltadpb4) is not lethal, but chromosomal DNA replication is slightly disturbed in this mutant. A double mutant haploid strain carrying the Deltadpb4 deletion and either pol2-11 or dpb11-1 is lethal at all temperatures tested. Furthermore, the restrictive temperature of double mutants carrying Deltadpb4 and dpb2-1, rad53-1 or rad53-21 is lower than in the corresponding single mutants. These results strongly suggest that Dpb4p plays an important role in maintaining the complex structure of Polepsilon in S.cerevisiae, even if it is not essential for cell growth. Structural homologues of DPB4 are present in other eukaryotic genomes, suggesting that the complex structure of S. cerevisiae Polepsilon is conserved in eukaryotes.

Saccharomyces cerevisiae contains three genes that encode members of the histone H2A gene family. The last of these to be discovered, HTZ1 (also known as HTA3), encodes a member of the highly conserved H2A.Z class of histones. Little is known about how its in vivo function compares with that of the better studied genes (HTA1 and HTA2) encoding the two major H2As. We show here that, while the HTZ1 gene encoding H2A.Z is not essential in budding yeast, its disruption results in slow growth and formamide sensitivity. Using plasmid shuffle experiments, we show that the major H2A genes cannot provide the function of HTZ1 and the HTZ1 gene cannot provide the essential function of the genes encoding the major H2As. We also demonstrate for the first time that H2A.Z genes are functionally conserved by showing that the gene encoding the H2A.Z variant of the ciliated protozoan TETRAHYMENA: thermophila is able to rescue the phenotypes associated with disruption of the yeast HTZ1 gene. Thus, the functions of H2A.Z are distinct from those of the major H2As and are highly conserved.

NuA4 is an essential histone H4/H2A acetyltransferase complex that interacts with activators and stimulates transcription in vitro. We have identified three novel NuA4 subunits: Act3/Arp4, an actin-related protein implicated in epigenetic control of transcription, Act1, and Epl1, a protein homologous to Drosophila Enhancer of Polycomb. Act3/Arp4 binds nucleosomes in vitro and is required for NuA4 integrity in vivo. Mutations in ACT3 and acetyltransferase-encoding ESA1 cause gene-specific transcription defects. Accordingly, NuA4 is localized in precise loci within the nucleus and does not overlap with the silent chromatin marker Sir3. These data along with the known epigenetic roles of Act3/Arp4 and homologs of Epl1 and Esa1 strongly support an essential role for chromatin structure modification by NuA4 in transcription regulation in vivo.