59 research outputs found

    Protein Complexes are Central in the Yeast Genetic Landscape

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    If perturbing two genes together has a stronger or weaker effect than expected, they are said to genetically interact. Genetic interactions are important because they help map gene function, and functionally related genes have similar genetic interaction patterns. Mapping quantitative (positive and negative) genetic interactions on a global scale has recently become possible. This data clearly shows groups of genes connected by predominantly positive or negative interactions, termed monochromatic groups. These groups often correspond to functional modules, like biological processes or complexes, or connections between modules. However it is not yet known how these patterns globally relate to known functional modules. Here we systematically study the monochromatic nature of known biological processes using the largest quantitative genetic interaction data set available, which includes fitness measurements for ∼5.4 million gene pairs in the yeast Saccharomyces cerevisiae. We find that only 10% of biological processes, as defined by Gene Ontology annotations, and less than 1% of inter-process connections are monochromatic. Further, we show that protein complexes are responsible for a surprisingly large fraction of these patterns. This suggests that complexes play a central role in shaping the monochromatic landscape of biological processes. Altogether this work shows that both positive and negative monochromatic patterns are found in known biological processes and in their connections and that protein complexes play an important role in these patterns. The monochromatic processes, complexes and connections we find chart a hierarchical and modular map of sensitive and redundant biological systems in the yeast cell that will be useful for gene function prediction and comparison across phenotypes and organisms. Furthermore the analysis methods we develop are applicable to other species for which genetic interactions will progressively become more available

    Genetic interactions reveal the evolutionary trajectories of duplicate genes

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    Duplicate genes show significantly fewer interactions than singleton genes, and functionally similar duplicates can exhibit dissimilar profiles because common interactions are ‘hidden' due to buffering.Genetic interaction profiles provide insights into evolutionary mechanisms of duplicate retention by distinguishing duplicates under dosage selection from those retained because of some divergence in function.The genetic interactions of duplicate genes evolve in an extremely asymmetric way and the directionality of this asymmetry correlates well with other evolutionary properties of duplicate genes.Genetic interaction profiles can be used to elucidate the divergent function of specific duplicate pairs

    Dbf4-dependent kinase (DDK)-mediated proteolysis of CENP-A prevents mislocalization of CENP-A in Saccharomyces cerevisiae

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    The evolutionarily conserved centromeric histone H3 variant (Cse4 in budding yeast, CENP-A in humans) is essential for faithful chromosome segregation. Mislocalization of CENP-A to non-centromeric chromatin contributes to chromosomal instability (CIN) in yeast, fly, and human cells and CENP-A is highly expressed and mislocalized in cancers. Defining mechanisms that prevent mislocalization of CENP-A is an area of active investigation. Ubiquitin-mediated proteolysis of overexpressed Cse4 (GALCSE4)byE3 ubiquitin ligases such as Psh1 prevents mislocalization of Cse4, and psh1D strains display synthetic dosage lethality (SDL) with GALCSE4. We previously performed a genome-wide screen and identified five alleles of CDC7 and DBF4 that encode the Dbf4-dependent kinase (DDK) complex, which regulates DNA replication initiation, among the top twelve hits that displayed SDL with GALCSE4. We determined that cdc7-7 strains exhibit defects in ubiquitin-mediated proteolysis of Cse4 and show mislocalization of Cse4. Mutation of MCM5 (mcm5-bob1) bypasses the requirement of Cdc7 for replication initiation and rescues replication defects in a cdc7-7 strain. We determined that mcm5-bob1 does not rescue the SDL and defects in proteolysis of GALCSE4 in a cdc7-7 strain, suggesting a DNA replication-independent role for Cdc7 in Cse4 proteolysis. The SDL phenotype, defects in ubiquitin-mediated proteolysis, and the mislocalization pattern of Cse4 in a cdc7-7 psh1D strain were similar to that of cdc7-7 and psh1D strains, suggesting that Cdc7 regulates Cse4 in a pathway that overlaps with Psh1. Our results define a DNA replication initiation-independent role of DDK as a regulator of Psh1-mediated proteolysis of Cse4 to prevent mislocalization of Cse4.Fil: Eisenstatt, Jessica R.. National Institutes of Health; Estados UnidosFil: Boeckmann, Lars. National Institutes of Health; Estados UnidosFil: Au, Wei Chun. National Institutes of Health; Estados UnidosFil: Garcia, Valerie. National Institutes of Health; Estados UnidosFil: Bursch, Levi. National Institutes of Health; Estados UnidosFil: Ocampo, Josefina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. National Instituto of Child Health & Human Development; Estados UnidosFil: Costanzo, Michael. National Institutes of Health; Estados Unidos. University of Toronto; CanadáFil: Weinreich, Michael. Van Andel Research Institute; Estados UnidosFil: Sclafani, Robert A.. University of Colorado; Estados UnidosFil: Baryshnikova, Anastasia. University of Princeton; Estados UnidosFil: Myers, Chad L.. University of Minnesota; Estados UnidosFil: Boone, Charles. University of Toronto; Canadá. National Institutes of Health; Estados UnidosFil: Clark, David J.. National Institutes of Health; Estados UnidosFil: Baker, Richard. University of Massachusetts; Estados UnidosFil: Basrai, Munira A.. National Institutes of Health; Estados Unido

    Skp, Cullin, F-box (SCF)-Met30 and SCF-Cdc4-Mediated Proteolysis of CENP-A Prevents Mislocalization of CENP-A for Chromosomal Stability in Budding Yeast

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    Restricting the localization of the histone H3 variant CENP-A (Cse4 in yeast, CID in flies) tocentromeres is essential for faithful chromosome segregation. Mislocalization of CENP-Aleads to chromosomal instability (CIN) in yeast, fly and human cells. Overexpression andmislocalization of CENP-A has been observed in many cancers and this correlates withincreased invasiveness and poor prognosis. Yet genes that regulate CENP-A levels andlocalization under physiological conditions have not been defined. In this study we used agenome-wide genetic screen to identify essential genes required for Cse4 homeostasis toprevent its mislocalization for chromosomal stability. We show that two Skp, Cullin, Fbox(SCF) ubiquitin ligases with the evolutionarily conserved F-box proteins Met30 andCdc4 interact and cooperatively regulate proteolysis of endogenous Cse4 and prevent itsmislocalization for faithful chromosome segregation under physiological conditions. Theinteraction of Met30 with Cdc4 is independent of the D domain, which is essential for theirhomodimerization and ubiquitination of other substrates. The requirement for both Cdc4and Met30 for ubiquitination is specifc for Cse4; and a common substrate for Cdc4 andMet30 has not previously been described. Met30 is necessary for the interaction betweenCdc4 and Cse4, and defects in this interaction lead to stabilization and mislocalization ofCse4, which in turn contributes to CIN. We provide the first direct link between Cse4 mislocalizationto defects in kinetochore structure and show that SCF-mediated proteolysis ofPLOS Genetics Cse4 is a major mechanism that prevents stable maintenance of Cse4 at non-centromericregions, thus ensuring faithful chromosome segregation. In summary, we have identifiedessential pathways that regulate cellular levels of endogenous Cse4 and shown that proteolysisof Cse4 by SCF-Met30/Cdc4 prevents mislocalization and CIN in unperturbed cells.Fil: Au, Wei-Chun. National Institutes of Health; Estados UnidosFil: Zhang, Tianyi. National Institutes of Health; Estados UnidosFil: Mishra, Prashant K.. National Institutes of Health; Estados UnidosFil: Eisenstatt, Jessica R.. National Institutes of Health; Estados UnidosFil: Walker, Robert L.. National Institutes of Health; Estados UnidosFil: Ocampo, Josefina. National Institutes of Health; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; ArgentinaFil: Dawson, Anthony. National Institutes of Health; Estados UnidosFil: Warren, Jack. National Institutes of Health; Estados UnidosFil: Costanzo, Michael. University of Toronto; CanadáFil: Baryshnikova, Anastasia. California Life Company; Estados UnidosFil: Flick, Karin. University of California; Estados UnidosFil: Clark, David J.. National Institutes of Health; Estados UnidosFil: Meltzer, Paul S.. National Institutes of Health; Estados UnidosFil: Baker, Richard E.. University of Massachussets; Estados UnidosFil: Myers, Chad. University of Minnesota; Estados UnidosFil: Boone, Charles. University of Toronto; CanadáFil: Kaiser, Peter. University of California; Estados UnidosFil: Basrai, Munira A.. National Institutes of Health; Estados Unido

    VID22 counteracts G-quadruplex-induced genome instability

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    Genome instability is a condition characterized by the accumulation of genetic alterations and is a hallmark of cancer cells. To uncover new genes and cellular pathways affecting endogenous DNA damage and genome integrity, we exploited a Synthetic Genetic Array (SGA)-based screen in yeast. Among the positive genes, we identified VID22, reported to be involved in DNA double-strand break repair. vid22Δ cells exhibit increased levels of endogenous DNA damage, chronic DNA damage response activation and accumulate DNA aberrations in sequences displaying high probabilities of forming G-quadruplexes (G4-DNA). If not resolved, these DNA secondary structures can block the progression of both DNA and RNA polymerases and correlate with chromosome fragile sites. Vid22 binds to and protects DNA at G4-containing regions both in vitro and in vivo. Loss of VID22 causes an increase in gross chromosomal rearrangement (GCR) events dependent on G-quadruplex forming sequences. Moreover, the absence of Vid22 causes defects in the correct maintenance of G4-DNA rich elements, such as telomeres and mtDNA, and hypersensitivity to the G4-stabilizing ligand TMPyP4. We thus propose that Vid22 is directly involved in genome integrity maintenance as a novel regulator of G4 metabolism.Associazione Italiana per la Ricerca sul Cancro (AIRC) [15631, 21806 to M.M.F.]; MIUR [PRIN 2015-2015SJLMB9; PRIN 2017-2017KSZZJW to M.M.F.]; Telethon [GGP15227 to M.M.F.]; F.L. was supported by the University of Milano: ‘‘Piano di Sviluppo dell’Ateneo per la Ricerca. Linea B: Supporto per i Giovani Ricercatori’’; M.C.B. was supported by Fondazione Veronesi; Research at the laboratory of A.A. was funded by the Spanish Ministry of Economy and Competitiveness [BFU2016-75058-P]; B.G.G. was funded by the Spanish Association Against Cancer; MIUR [PRIN2017-2017Z55KC to T.B.]; M.C., D.S.H. are supported by MIUR [PRIN 2017] and CNRbiomics [PIR01_00017]; H2020 Projects ELIXIR-EXCELERATE, EOSC-Life, EOSC-Pillar and Elixir-IIB; G.W.B. was supported by the Canadian Institutes of Health Research[FDN-159913]. Funding for open access charge: Associazione Italiana per la Ricerca sul Cancro (AIRC) [21806]

    A Systems Biology Approach Reveals the Role of a Novel Methyltransferase in Response to Chemical Stress and Lipid Homeostasis

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    Using small molecule probes to understand gene function is an attractive approach that allows functional characterization of genes that are dispensable in standard laboratory conditions and provides insight into the mode of action of these compounds. Using chemogenomic assays we previously identified yeast Crg1, an uncharacterized SAM-dependent methyltransferase, as a novel interactor of the protein phosphatase inhibitor cantharidin. In this study we used a combinatorial approach that exploits contemporary high-throughput techniques available in Saccharomyces cerevisiae combined with rigorous biological follow-up to characterize the interaction of Crg1 with cantharidin. Biochemical analysis of this enzyme followed by a systematic analysis of the interactome and lipidome of CRG1 mutants revealed that Crg1, a stress-responsive SAM-dependent methyltransferase, methylates cantharidin in vitro. Chemogenomic assays uncovered that lipid-related processes are essential for cantharidin resistance in cells sensitized by deletion of the CRG1 gene. Lipidome-wide analysis of mutants further showed that cantharidin induces alterations in glycerophospholipid and sphingolipid abundance in a Crg1-dependent manner. We propose that Crg1 is a small molecule methyltransferase important for maintaining lipid homeostasis in response to drug perturbation. This approach demonstrates the value of combining chemical genomics with other systems-based methods for characterizing proteins and elucidating previously unknown mechanisms of action of small molecule inhibitors

    Systematic exploration of essential yeast gene function with temperature-sensitive mutants

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    Conditional temperature-sensitive (ts) mutations are valuable reagents for studying essential genes in the yeast Saccharomyces cerevisiae. We constructed 787 ts strains, covering 497 (~45%) of the 1,101 essential yeast genes, with ~30% of the genes represented by multiple alleles. All of the alleles are integrated into their native genomic locus in the S288C common reference strain and are linked to a kanMX selectable marker, allowing further genetic manipulation by synthetic genetic array (SGA)–based, high-throughput methods. We show two such manipulations: barcoding of 440 strains, which enables chemical-genetic suppression analysis, and the construction of arrays of strains carrying different fluorescent markers of subcellular structure, which enables quantitative analysis of phenotypes using high-content screening. Quantitative analysis of a GFP-tubulin marker identified roles for cohesin and condensin genes in spindle disassembly. This mutant collection should facilitate a wide range of systematic studies aimed at understanding the functions of essential genes

    Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states

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    Abstract Cell growth and quiescence in eukaryotic cells is controlled by an evolutionarily conserved network of signaling pathways. Signal transduction networks operate to modulate a wide range of cellular processes and physiological properties when cells exit proliferative growth and initiate a quiescent state. How signaling networks function to respond to diverse signals that result in cell cycle exit and establishment of a quiescent state is poorly understood. Here, we studied the function of signaling pathways in quiescent cells using global genetic interaction mapping in the model eukaryotic cell, Saccharomyces cerevisiae (budding yeast). We performed pooled analysis of genotypes using molecular barcode sequencing (Bar‐seq) to test the role of ~4,000 gene deletion mutants and ~12,000 pairwise interactions between all non‐essential genes and the protein kinase genes TOR1, RIM15, and PHO85 in three different nutrient‐restricted conditions in both proliferative and quiescent cells. We detect up to 10‐fold more genetic interactions in quiescent cells than proliferative cells. We find that both individual gene effects and genetic interaction profiles vary depending on the specific pro‐quiescence signal. The master regulator of quiescence, RIM15, shows distinct genetic interaction profiles in response to different starvation signals. However, vacuole‐related functions show consistent genetic interactions with RIM15 in response to different starvation signals, suggesting that RIM15 integrates diverse signals to maintain protein homeostasis in quiescent cells. Our study expands genome‐wide genetic interaction profiling to additional conditions, and phenotypes, and highlights the conditional dependence of epistasis
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