ADK1 | GeneID:851812 | Saccharomyces cerevisiae
Gene Summary
[
] NCBI Entrez Gene
| Gene ID | 851812 | Official Symbol | ADK1 |
|---|---|---|---|
| Locus | YDR226W | Gene Type | protein-coding |
| Synonyms | AKY1; AKY2 | ||
| Full Name | N/A | ||
| Description | Adenylate kinase, required for purine metabolism; localized to the cytoplasm and the mitochondria; lacks cleavable signal sequence | ||
| Chromosome | N/A | ||
| Also Known As | Adk1p | ||
| Summary | N/A | ||
Orthologs and Paralogs
[
] Homologs - NCBI's HomoloGene Group: 1227
| ID | Symbol | Protein | Species |
|---|---|---|---|
| GeneID:204 | AK2 | NP_001616.1 | Homo sapiens |
| GeneID:11637 | Ak2 | NP_001029138.1 | Mus musculus |
| GeneID:24184 | Ak2 | NP_112248.1 | Rattus norvegicus |
| GeneID:37834 | Adk2 | NP_523836.2 | Drosophila melanogaster |
| GeneID:176118 | let-754 | NP_498730.1 | Caenorhabditis elegans |
| GeneID:280716 | AK2 | NP_776314.1 | Bos taurus |
| GeneID:321793 | ak2 | NP_997761.1 | Danio rerio |
| GeneID:428227 | AK2 | XP_425786.2 | Gallus gallus |
| GeneID:456723 | AK2 | XP_001165163.1 | Pan troglodytes |
| GeneID:478145 | AK2 | XP_535321.2 | Canis lupus familiaris |
| GeneID:810244 | PF10_0086 | XP_001347371.1 | Plasmodium falciparum |
| GeneID:835104 | AT5G50370 | NP_199848.1 | Arabidopsis thaliana |
| GeneID:836459 | ADK1 | NP_201145.1 | Arabidopsis thaliana |
| GeneID:851812 | ADK1 | NP_010512.1 | Saccharomyces cerevisiae |
| GeneID:1269521 | AgaP_AGAP007722 | XP_308155.2 | Anopheles gambiae |
| GeneID:2542704 | adk1 | NP_593685.1 | Schizosaccharomyces pombe |
| GeneID:2674388 | MGG_01058 | XP_368186.1 | Magnaporthe grisea |
| GeneID:2709914 | NCU01550.1 | XP_327989.1 | Neurospora crassa |
| GeneID:2896019 | KLLA0F13376g | XP_455682.1 | Kluyveromyces lactis |
| GeneID:4350358 | Os11g0312400 | NP_001067759.1 | Oryza sativa |
| GeneID:4351850 | Os12g0236400 | NP_001066462.1 | Oryza sativa |
| GeneID:4623155 | AGOS_AGR187W | NP_986853.1 | Eremothecium gossypii |
Gene Classification
[
] Gene Ontology
| ID | Category | GO Term |
|---|---|---|
| GO:0005737 | Component | cytoplasm |
| GO:0005829 | Component | cytosol |
| GO:0005758 | Component | mitochondrial intermembrane space |
| GO:0005739 | Component | mitochondrion |
| GO:0004017 | Function | adenylate kinase activity |
| GO:0005524 | Function | ATP binding |
| GO:0016301 | Function | kinase activity |
| GO:0019205 | Function | nucleobase, nucleoside, nucleotide kinase activity |
| GO:0000166 | Function | nucleotide binding |
| GO:0019201 | Function | nucleotide kinase activity |
| GO:0016776 | Function | phosphotransferase activity, phosphate group as acceptor |
| GO:0016740 | Function | transferase activity |
| GO:0006172 | Process | ADP biosynthetic process |
| GO:0006139 | Process | nucleobase, nucleoside, nucleotide and nucleic acid metabolic process |
| GO:0009117 | Process | nucleotide metabolic process |
Gene Interactions
[
] BioGRID Gene Product Interaction Database
| Symbol | Interaction Binary | Experiment | Source |
|---|---|---|---|
| BCK1 | BCK1 / ADK1 | Biochemical Activity | Ptacek J (2005) |
| CDC14 | CDC14 / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| DBF2 | DBF2 / ADK1 | Biochemical Activity | Mah AS (2005) |
| DBF2 | DBF2 / ADK1 | Biochemical Activity | Ptacek J (2005) |
| INO1 | ADK1 / INO1 | PCA | Tarassov K (2008) |
| KSP1 | KSP1 / ADK1 | Biochemical Activity | Ptacek J (2005) |
| N/A | N/A / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| N/A | N/A / ADK1 | Affinity Capture-MS | Krogan NJ (2006) |
| PHO85 | PHO85 / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| PRP11 | PRP11 / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| RAD53 | RAD53 / ADK1 | Biochemical Activity | Ptacek J (2005) |
| SKS1 | SKS1 / ADK1 | Biochemical Activity | Ptacek J (2005) |
| SMT3 | SMT3 / ADK1 | Affinity Capture-MS | Hannich JT (2005) |
| SPL2 | ADK1 / SPL2 | Phenotypic Suppression | Gauthier S (2008) |
| TEM1 | TEM1 / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| UBC1 | UBC1 / ADK1 | Affinity Capture-MS | Ho Y (2002) |
| URA6 | ADK1 / URA6 | Dosage Rescue | Schricker R (1992) |
| YCK2 | YCK2 / ADK1 | Biochemical Activity | Ptacek J (2005) |
Selected Publications
[
] Gene-related publications indexed at PubMed
- [
] Gauthier S, et al. (2008) "Co-regulation of yeast purine and phosphate pathways in response to adenylic nucleotide variations." Mol Microbiol. 68(6):1583-1594. PMID:18433446 - [
] Tarassov K, et al. (2008) "An in vivo map of the yeast protein interactome." Science. 320(5882):1465-1470. PMID:18467557 - [
] Krogan NJ, et al. (2006) "Global landscape of protein complexes in the yeast Saccharomyces cerevisiae." Nature. 440(7084):637-643. PMID:16554755 - [
] Reinders J, et al. (2006) "Toward the complete yeast mitochondrial proteome: multidimensional separation techniques for mitochondrial proteomics." J Proteome Res. 5(7):1543-1554. PMID:16823961 - [
] Hannich JT, et al. (2005) "Defining the SUMO-modified proteome by multiple approaches in Saccharomyces cerevisiae." J Biol Chem. 280(6):4102-4110. PMID:15590687 - [
] Mah AS, et al. (2005) "Substrate specificity analysis of protein kinase complex Dbf2-Mob1 by peptide library and proteome array screening." BMC Biochem. 6():22. PMID:16242037 - [
] Ptacek J, et al. (2005) "Global analysis of protein phosphorylation in yeast." Nature. 438(7068):679-684. PMID:16319894 - [
] Ho Y, et al. (2002) "Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry." Nature. 415(6868):180-183. PMID:11805837 - [
] Jacq C, et al. (1997) "The nucleotide sequence of Saccharomyces cerevisiae chromosome IV." Nature. 387(6632 Suppl):75-78. PMID:9169867 - [
] Goffeau A, et al. (1996) "Life with 6000 genes." Science. 274(5287):546, 563-546, 567. PMID:8849441 - [
] Schricker R, et al. (1992) "The adenylate kinase family in yeast: identification of URA6 as a multicopy suppressor of deficiency in major AMP kinase." Gene. 122(1):111-118. PMID:1333436 - [
] Konrad M, et al. (1988) "Analysis and in vivo disruption of the gene coding for adenylate kinase (ADK1) in the yeast Saccharomyces cerevisiae." J Biol Chem. 263(36):19468-19474. PMID:2848829 - [
] Bandlow W, et al. (1988) "Yeast adenylate kinase is active simultaneously in mitochondria and cytoplasm and is required for non-fermentative growth." Eur J Biochem. 178(2):451-457. PMID:2850178
Adenylate kinase (Adk1p) is a pivotal enzyme in both energetic and adenylic nucleotide metabolisms. In this paper, using a transcriptomic analysis, we show that the lack of Adk1p strongly induced expression of the PHO and ADE genes involved in phosphate utilization and AMP de novo biosynthesis respectively. Isolation and characterization of adk1 point mutants affecting PHO5 expression revealed that all these mutations also severely affected Adk1p catalytic activity, as well as PHO84 and ADE1 transcription. Furthermore, overexpression of distantly related enzymes such as human adenylate kinase or yeast UMP kinase was sufficient to restore regulation. These results demonstrate that adenylate kinase catalytic activity is critical for proper regulation of the PHO and ADE pathways. We also establish that adk1 deletion and purine limitation have similar effects on both adenylic nucleotide pool and PHO84 or ADE17 expression. Finally, we show that, in the adk1 mutant, upregulation of ADE1 depends on synthesis of the previously described effector(s) (S)AICAR ((N-succinyl)-5-aminoimidazol-4-carboxamide ribotide), while upregulation of PHO84 necessitates the Spl2p positive regulator. This work reveals that adenylic nucleotide availability is a key signal used by yeast to co-ordinate phosphate utilization and purine synthesis.
Protein interactions regulate the systems-level behavior of cells; thus, deciphering the structure and dynamics of protein interaction networks in their cellular context is a central goal in biology. We have performed a genome-wide in vivo screen for protein-protein interactions in Saccharomyces cerevisiae by means of a protein-fragment complementation assay (PCA). We identified 2770 interactions among 1124 endogenously expressed proteins. Comparison with previous studies confirmed known interactions, but most were not known, revealing a previously unexplored subspace of the yeast protein interactome. The PCA detected structural and topological relationships between proteins, providing an 8-nanometer-resolution map of dynamically interacting complexes in vivo and extended networks that provide insights into fundamental cellular processes, including cell polarization and autophagy, pathways that are evolutionarily conserved and central to both development and human health.
Identification of protein-protein interactions often provides insight into protein function, and many cellular processes are performed by stable protein complexes. We used tandem affinity purification to process 4,562 different tagged proteins of the yeast Saccharomyces cerevisiae. Each preparation was analysed by both matrix-assisted laser desorption/ionization-time of flight mass spectrometry and liquid chromatography tandem mass spectrometry to increase coverage and accuracy. Machine learning was used to integrate the mass spectrometry scores and assign probabilities to the protein-protein interactions. Among 4,087 different proteins identified with high confidence by mass spectrometry from 2,357 successful purifications, our core data set (median precision of 0.69) comprises 7,123 protein-protein interactions involving 2,708 proteins. A Markov clustering algorithm organized these interactions into 547 protein complexes averaging 4.9 subunits per complex, about half of them absent from the MIPS database, as well as 429 additional interactions between pairs of complexes. The data (all of which are available online) will help future studies on individual proteins as well as functional genomics and systems biology.
Proteomic analyses of different subcellular compartments, so-called organellar proteomics, facilitate the understanding of cellular functions on a molecular level. In this work, various orthogonal multidimensional separation techniques both on the protein and on the peptide level are compared with regard to the number of identified proteins as well as the classes of proteins accessible by the respective methodology. The most complete overview was achieved by a combination of such orthogonal techniques as shown by the analysis of the yeast mitochondrial proteome. A total of 851 different proteins (PROMITO dataset) were identified by use of multidimensional LC-MS/MS, 1D-SDS-PAGE combined with nano-LC-MS/MS and 2D-PAGE with subsequent MALDI-mass fingerprinting. Our PROMITO approach identified the 749 proteins, which were found in the largest previous study on the yeast mitochondrial proteome, and additionally 102 proteins including 42 open reading frames with unknown function, providing the basis for a more detailed elucidation of mitochondrial processes. Comparison of the different approaches emphasizes a bias of 2D-PAGE against proteins with very high isoelectric points as well as large and hydrophobic proteins, which can be accessed more appropriately by the other methods. While 2D-PAGE has advantages in the possible separation of protein isoforms and quantitative differential profiling, 1D-SDS-PAGE with nano-LC-MS/MS and multidimensional LC-MS/MS are better suited for efficient protein identification as they are less biased against distinct classes of proteins. Thus, comprehensive proteome analyses can only be realized by a combination of such orthogonal approaches, leading to the largest dataset available for the mitochondrial proteome of yeast.
SUMO, or Smt3 in Saccharomyces cerevisiae, is a ubiquitin-like protein that is post-translationally attached to multiple proteins in vivo. Many of these substrate modifications are cell cycle-regulated, and SUMO conjugation is essential for viability in most eukaryotes. However, only a limited number of SUMO-modified proteins have been definitively identified to date, and this has hampered study of the mechanisms by which SUMO ligation regulates specific cellular pathways. Here we use a combination of yeast two-hybrid screening, a high copy suppressor selection with a SUMO isopeptidase mutant, and tandem mass spectrometry to define a large set of proteins (>150) that can be modified by SUMO in budding yeast. These three approaches yielded overlapping sets of proteins with the most extensive set by far being those identified by mass spectrometry. The two-hybrid data also yielded a potential SUMO-binding motif. Functional categories of SUMO-modified proteins include SUMO conjugation system enzymes, chromatin- and gene silencing-related factors, DNA repair and genome stability proteins, stress-related proteins, transcription factors, proteins involved in translation and RNA metabolism, and a variety of metabolic enzymes. The results point to a surprisingly broad array of cellular processes regulated by SUMO conjugation and provide a starting point for detailed studies of how SUMO ligation contributes to these different regulatory mechanisms.
BACKGROUND: The mitotic exit network (MEN) is a group of proteins that form a signaling cascade that is essential for cells to exit mitosis in Saccharomyces cerevisiae. The MEN has also been implicated in playing a role in cytokinesis. Two components of this signaling pathway are the protein kinase Dbf2 and its binding partner essential for its kinase activity, Mob1. The components of MEN that act upstream of Dbf2-Mob1 have been characterized, but physiological substrates for Dbf2-Mob1 have yet to be identified. RESULTS: Using a combination of peptide library selection, phosphorylation of optimal peptide variants, and screening of a phosphosite array, we found that Dbf2-Mob1 preferentially phosphorylated serine over threonine and required an arginine three residues upstream of the phosphorylated serine in its substrate. This requirement for arginine in peptide substrates could not be substituted with the similarly charged lysine. This specificity determined for peptide substrates was also evident in many of the proteins phosphorylated by Dbf2-Mob1 in a proteome chip analysis. CONCLUSION: We have determined by peptide library selection and phosphosite array screening that the protein kinase Dbf2-Mob1 preferentially phosphorylated substrates that contain an RXXS motif. A subsequent proteome microarray screen revealed proteins that can be phosphorylated by Dbf2-Mob1 in vitro. These proteins are enriched for RXXS motifs, and may include substrates that mediate the function of Dbf2-Mob1 in mitotic exit and cytokinesis. The relatively low degree of sequence restriction at the site of phosphorylation suggests that Dbf2 achieves specificity by docking its substrates at a site that is distinct from the phosphorylation site.
Protein phosphorylation is estimated to affect 30% of the proteome and is a major regulatory mechanism that controls many basic cellular processes. Until recently, our biochemical understanding of protein phosphorylation on a global scale has been extremely limited; only one half of the yeast kinases have known in vivo substrates and the phosphorylating kinase is known for less than 160 phosphoproteins. Here we describe, with the use of proteome chip technology, the in vitro substrates recognized by most yeast protein kinases: we identified over 4,000 phosphorylation events involving 1,325 different proteins. These substrates represent a broad spectrum of different biochemical functions and cellular roles. Distinct sets of substrates were recognized by each protein kinase, including closely related kinases of the protein kinase A family and four cyclin-dependent kinases that vary only in their cyclin subunits. Although many substrates reside in the same cellular compartment or belong to the same functional category as their phosphorylating kinase, many others do not, indicating possible new roles for several kinases. Furthermore, integration of the phosphorylation results with protein-protein interaction and transcription factor binding data revealed novel regulatory modules. Our phosphorylation results have been assembled into a first-generation phosphorylation map for yeast. Because many yeast proteins and pathways are conserved, these results will provide insights into the mechanisms and roles of protein phosphorylation in many eukaryotes.
The recent abundance of genome sequence data has brought an urgent need for systematic proteomics to decipher the encoded protein networks that dictate cellular function. To date, generation of large-scale protein-protein interaction maps has relied on the yeast two-hybrid system, which detects binary interactions through activation of reporter gene expression. With the advent of ultrasensitive mass spectrometric protein identification methods, it is feasible to identify directly protein complexes on a proteome-wide scale. Here we report, using the budding yeast Saccharomyces cerevisiae as a test case, an example of this approach, which we term high-throughput mass spectrometric protein complex identification (HMS-PCI). Beginning with 10% of predicted yeast proteins as baits, we detected 3,617 associated proteins covering 25% of the yeast proteome. Numerous protein complexes were identified, including many new interactions in various signalling pathways and in the DNA damage response. Comparison of the HMS-PCI data set with interactions reported in the literature revealed an average threefold higher success rate in detection of known complexes compared with large-scale two-hybrid studies. Given the high degree of connectivity observed in this study, even partial HMS-PCI coverage of complex proteomes, including that of humans, should allow comprehensive identification of cellular networks.
The complete DNA sequence of the yeast Saccharomyces cerevisiae chromosome IV has been determined. Apart from chromosome XII, which contains the 1-2 Mb rDNA cluster, chromosome IV is the longest S. cerevisiae chromosome. It was split into three parts, which were sequenced by a consortium from the European Community, the Sanger Centre, and groups from St Louis and Stanford in the United States. The sequence of 1,531,974 base pairs contains 796 predicted or known genes, 318 (39.9%) of which have been previously identified. Of the 478 new genes, 225 (28.3%) are homologous to previously identified genes and 253 (32%) have unknown functions or correspond to spurious open reading frames (ORFs). On average there is one gene approximately every two kilobases. Superimposed on alternating regional variations in G+C composition, there is a large central domain with a lower G+C content that contains all the yeast transposon (Ty) elements and most of the tRNA genes. Chromosome IV shares with chromosomes II, V, XII, XIII and XV some long clustered duplications which partly explain its origin.
The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration. The sequence of 12,068 kilobases defines 5885 potential protein-encoding genes, approximately 140 genes specifying ribosomal RNA, 40 genes for small nuclear RNA molecules, and 275 transfer RNA genes. In addition, the complete sequence provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history. The genome shows a considerable amount of apparent genetic redundancy, and one of the major problems to be tackled during the next stage of the yeast genome project is to elucidate the biological functions of all of these genes.
The gene URA6 encoding uridylate kinase (UK) from Saccharomyces cerevisiae was isolated as a multicopy suppressor of the respiratory-deficient phenotype of an S. cerevisiae mutant defective in the gene AKY2 encoding AMP kinase (AK). The URA6 gene also restored temperature resistance to two different temperature-sensitive mutations in the gene encoding Escherichia coli AK. By contrast, the gene encoding UK of Dictyostelium discoideum on a multicopy yeast shuttle plasmid, expressed under control of the constitutive yeast AKY2 promoter, failed to complement the deficiency in yeast, although such transformants expressed high UK activity. We show that yeast UK exerts significant AK activity which is responsible for the complementation and is absent in the analogous enzyme from D. discoideum. Since UK also significantly phosphorylates CMP (but not GMP), it must be considered an unspecific short-form nucleoside monophosphate kinase. Wild-type mitochondria lack UK activity, but import AKY2. Since multicopy transformation with URA6 heals the Pet- phenotype of AKY2 disruption mutants, the presence of AKY2 in the mitochondrial intermembrane space is not required to maintain respiratory competence. However, furnishing UK with the bipartite intermembrane space-targeting presequence of cytochrome c1 improves the growth rates of AKY2 mutants with nonfermentable substrates, suggesting that AK activity in mitochondria is helpful, though not essential for oxidative growth.
The gene (designated ADK1) encoding the so-called cytosolic adenylate kinase of the yeast Saccharomyces cerevisiae was isolated using a single mixed oligonucleotide hybridization probe designed from the published amino acid sequence. ADK1 was found to be identical to an adenylate kinase gene recently isolated by an approach entirely different from ours (Magdolen, V., Oechsner, U., and Bandlow, W. (1987) Curr. Genet. 12, 405-411). The gene resides on yeast chromosome IV adjacent to the histone gene H2A-1. Southern blot analysis revealed only one copy of the gene, and no other related yeast DNA sequences were detected. By gene disruption it is shown that the ADK1 gene is needed for normal cell proliferation but is not essential for cell viability. Immunological studies confirmed the absence of the ADK1 gene product in mutant cells; in extracts of total cellular protein, however, there were still about 10% of the wild-type enzymatic activity present. This indicates the existence of two or more adenylate kinase isozymes in yeast. From preliminary 31P NMR measurements on suspensions of yeast cells, a significant decrease in the level of nucleoside triphosphates was found in the mutant strain carrying the disrupted and partially deleted ADK1 locus.
Displacement of the single copy structural gene for yeast adenylate kinase (long version) by a disrupted nonfunctional allele is tolerated in haploid cells. Since adenylate kinase activity is a pre-requisite for cell viability, the survival of haploid disruption mutants is indicative of the presence of an adenylate kinase isozyme in yeast, capable of forming ADP from AMP and, thus, of complementing the disrupted allele. The phenotype of these disruption mutants is pet, showing that complementation occurs only under fermentative conditions. Even on glucose, growth of the disruption mutants is slow. Adenylate kinase activity is found both in mitochondria and cytoplasm of wild type yeast. The disruption completely destroys the activity in mitochondria, whereas in the cytoplasmic fraction about 10% is retained. An antibody raised against yeast mitochondrial adenylate kinase recognizes cross-reacting material both in mitochondria and cytoplasm of the wild type, but fails to do so in each of the respective mutant fractions. The data indicate that yeast adenylate kinase (long version, AKY2) simultaneously occurs and is active in mitochondria and cytoplasm of the wild type. Nevertheless, it lacks a cleavable pre-sequence for import into mitochondria. A second, minor isozyme, encoded by a separate gene, is present exclusively in the cytoplasm.