AAC3 | GeneID:852380 | Saccharomyces cerevisiae
Gene Summary
[
] NCBI Entrez Gene
| Gene ID | 852380 | Official Symbol | AAC3 |
|---|---|---|---|
| Locus | YBR085W | Gene Type | protein-coding |
| Synonyms | ANC3 | ||
| Full Name | N/A | ||
| Description | Aac3p | ||
| Chromosome | N/A | ||
| Also Known As | Mitochondrial inner membrane ADP/ATP translocator, exchanges cytosolic ADP for mitochondrially synthesized ATP; expressed under anaerobic conditions; similar to Pet9p and Aac1p; has roles in maintenance of viability and in respiration | ||
| Summary | N/A | ||
Orthologs and Paralogs
[
] Homologs - NCBI's HomoloGene Group: 37448
| ID | Symbol | Protein | Species |
|---|---|---|---|
| GeneID:828955 | AAC3 | NP_194568.1 | Arabidopsis thaliana |
| GeneID:852250 | PET9 | NP_009523.1 | Saccharomyces cerevisiae |
| GeneID:852380 | AAC3 | NP_009642.1 | Saccharomyces cerevisiae |
| GeneID:2540900 | anc1 | NP_595323.1 | Schizosaccharomyces pombe |
| GeneID:2684829 | MGG_06656 | XP_370159.2 | Magnaporthe grisea |
| GeneID:2711737 | NCU09477.1 | XP_329836.1 | Neurospora crassa |
| GeneID:2894290 | ADT_KLULA | XP_454505.1 | Kluyveromyces lactis |
| GeneID:4338353 | Os05g0302700 | NP_001055139.1 | Oryza sativa |
| GeneID:4621250 | AGOS_AER184W | NP_985041.1 | Eremothecium gossypii |
Gene Classification
[
] Gene Ontology
| ID | Category | GO Term |
|---|---|---|
| GO:0016021 | Component | integral to membrane |
| GO:0016020 | Component | membrane |
| GO:0005743 | Component | mitochondrial inner membrane |
| GO:0005739 | Component | mitochondrion |
| GO:0005471 | Function | ATP:ADP antiporter activity |
| GO:0005488 | Function | binding |
| GO:0005215 | Function | transporter activity |
| GO:0009061 | Process | anaerobic respiration |
| GO:0043284 | Process | biopolymer biosynthetic process |
| GO:0006783 | Process | heme biosynthetic process |
| GO:0006417 | Process | regulation of translation |
| GO:0006412 | Process | translation |
| GO:0055085 | Process | transmembrane transport |
| GO:0006810 | Process | transport |
Gene Interactions
[
] BioGRID Gene Product Interaction Database
| Symbol | Interaction Binary | Experiment | Source |
|---|---|---|---|
| ATG12 | ATG12 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| BUD32 | BUD32 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| HAP2 | HAP2 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| LAS17 | LAS17 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| LEU5 | LEU5 / AAC3 | Two-hybrid | Miller JP (2005) |
| N/A | N/A / AAC3 | Two-hybrid | Miller JP (2005) |
| PET9 | PET9 / AAC3 | Dosage Rescue | Chen XJ (2004) |
| PMR1 | PMR1 / AAC3 | Affinity Capture-MS | Krogan NJ (2006) |
| RAD3 | RAD3 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| RAD59 | RAD59 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| RFA3 | RFA3 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| SAC6 | AAC3 / SAC6 | Synthetic Lethality | Vinh DB (1993) |
| SKP1 | SKP1 / AAC3 | Affinity Capture-MS | Tagwerker C (2006) |
| SML1 | SML1 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| SPT2 | SPT2 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
| YCK1 | YCK1 / AAC3 | Affinity Capture-MS | Ho Y (2002) |
Selected Publications
[
] Gene-related publications indexed at PubMed
- [
] Huttenhower C, et al. (2008) "Assessing the functional structure of genomic data." Bioinformatics. 24(13):i330-i338. PMID:18586732 - [
] Azuma M, et al. (2008) "Adenine nucleotide translocator transports haem precursors into mitochondria." PLoS ONE. 3(8):e3070. PMID:18728780 - [
] Tagwerker C, et al. (2006) "A tandem affinity tag for two-step purification under fully denaturing conditions: application in ubiquitin profiling and protein complex identification combined with in vivocross-linking." Mol Cell Proteomics. 5(4):737-748. PMID:16432255 - [
] 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 - [
] Miller JP, et al. (2005) "Large-scale identification of yeast integral membrane protein interactions." Proc Natl Acad Sci U S A. 102(34):12123-12128. PMID:16093310 - [
] Chen XJ, et al. (2004) "Sal1p, a calcium-dependent carrier protein that suppresses an essential cellular function associated With the Aac2 isoform of ADP/ATP translocase in Saccharomyces cerevisiae." Genetics. 167(2):607-617. PMID:15238515 - [
] Ho Y, et al. (2002) "Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry." Nature. 415(6868):180-183. PMID:11805837 - [
] Goffeau A, et al. (1996) "Life with 6000 genes." Science. 274(5287):546, 563-546, 567. PMID:8849441 - [
] Feldmann H, et al. (1994) "Complete DNA sequence of yeast chromosome II." EMBO J. 13(24):5795-5809. PMID:7813418 - [
] Vinh DB, et al. (1993) "Genetic evidence for functional interactions between actin noncomplementing (Anc) gene products and actin cytoskeletal proteins in Saccharomyces cerevisiae." Genetics. 135(2):275-286. PMID:8243993 - [
] Drgon T, et al. (1991) "ADP/ATP translocator is essential only for anaerobic growth of yeast Saccharomyces cerevisiae." FEBS Lett. 289(2):159-162. PMID:1915842 - [
] Kolarov J, et al. (1990) "A third ADP/ATP translocator gene in yeast." J Biol Chem. 265(21):12711-12716. PMID:2165073
MOTIVATION: The availability of genome-scale data has enabled an abundance of novel analysis techniques for investigating a variety of systems-level biological relationships. As thousands of such datasets become available, they provide an opportunity to study high-level associations between cellular pathways and processes. This also allows the exploration of shared functional enrichments between diverse biological datasets, and it serves to direct experimenters to areas of low data coverage or with high probability of new discoveries. RESULTS: We analyze the functional structure of Saccharomyces cerevisiae datasets from over 950 publications in the context of over 140 biological processes. This includes a coverage analysis of biological processes given current high-throughput data, a data-driven map of associations between processes, and a measure of similar functional activity between genome-scale datasets. This uncovers subtle gene expression similarities in three otherwise disparate microarray datasets due to a shared strain background. We also provide several means of predicting areas of yeast biology likely to benefit from additional high-throughput experimental screens. AVAILABILITY: Predictions are provided in supplementary tables; software and additional data are available from the authors by request. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Haem is a prosthetic group for haem proteins, which play an essential role in oxygen transport, respiration, signal transduction, and detoxification. In haem biosynthesis, the haem precursor protoporphyrin IX (PP IX) must be accumulated into the mitochondrial matrix across the inner membrane, but its mechanism is largely unclear. Here we show that adenine nucleotide translocator (ANT), the inner membrane transporter, contributes to haem biosynthesis by facilitating mitochondrial accumulation of its precursors. We identified that haem and PP IX specifically bind to ANT. Mitochondrial uptake of PP IX was inhibited by ADP, a known substrate of ANT. Conversely, ADP uptake into mitochondria was competitively inhibited by haem and its precursors, suggesting that haem-related porphyrins are accumulated into mitochondria via ANT. Furthermore, disruption of the ANT genes in yeast resulted in a reduction of haem biosynthesis by blocking the translocation of haem precursors into the matrix. Our results represent a new model that ANT plays a crucial role in haem biosynthesis by facilitating accumulation of its precursors into the mitochondrial matrix.
Tandem affinity strategies reach exceptional protein purification grades and have considerably improved the outcome of mass spectrometry-based proteomic experiments. However, current tandem affinity tags are incompatible with two-step purification under fully denaturing conditions. Such stringent purification conditions are desirable for mass spectrometric analyses of protein modifications as they result in maximal preservation of posttranslational modifications. Here we describe the histidine-biotin (HB) tag, a new tandem affinity tag for two-step purification under denaturing conditions. The HB tag consists of a hexahistidine tag and a bacterially derived in vivo biotinylation signal peptide that induces efficient biotin attachment to the HB tag in yeast and mammalian cells. HB-tagged proteins can be sequentially purified under fully denaturing conditions, such as 8 m urea, by Ni(2+) chelate chromatography and binding to streptavidin resins. The stringent separation conditions compatible with the HB tag prevent loss of protein modifications, and the high purification grade achieved by the tandem affinity strategy facilitates mass spectrometric analysis of posttranslational modifications. Ubiquitination is a particularly sensitive protein modification that is rapidly lost during purification under native conditions due to ubiquitin hydrolase activity. The HB tag is ideal to study ubiquitination because the denaturing conditions inhibit hydrolase activity, and the tandem affinity strategy greatly reduces nonspecific background. We tested the HB tag in proteome-wide ubiquitin profiling experiments in yeast and identified a number of known ubiquitinated proteins as well as so far unidentified candidate ubiquitination targets. In addition, the stringent purification conditions compatible with the HB tag allow effective mass spectrometric identification of in vivo cross-linked protein complexes, thereby expanding proteomic analyses to the description of weakly or transiently associated protein complexes.
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.
We carried out a large-scale screen to identify interactions between integral membrane proteins of Saccharomyces cerevisiae by using a modified split-ubiquitin technique. Among 705 proteins annotated as integral membrane, we identified 1,985 putative interactions involving 536 proteins. To ascribe confidence levels to the interactions, we used a support vector machine algorithm to classify interactions based on the assay results and protein data derived from the literature. Previously identified and computationally supported interactions were used to train the support vector machine, which identified 131 interactions of highest confidence, 209 of the next highest confidence, 468 of the next highest, and the remaining 1,085 of low confidence. This study provides numerous putative interactions among a class of proteins that have been difficult to analyze on a high-throughput basis by other approaches. The results identify potential previously undescribed components of established biological processes and roles for integral membrane proteins of ascribed functions.
Adenine nucleotide translocase (Ant) catalyzes ADP/ATP exchange between the cytosol and the mitochondrial matrix. It is also proposed to form or regulate the mitochondrial permeability transition pore, a megachannel of high conductancy on the mitochondrial membranes. Eukaryotic genomes generally contain multiple isoforms of Ant. In this study, it is shown that the Ant isoforms are functionally differentiated in Saccharomyces cerevisiae. Although the three yeast Ant proteins can equally support respiration (the R function), Aac2p and Aac3p, but not Aac1p, have an additional physiological function essential for cell viability (the V function). The loss of V function in aac2 mutants leads to a lethal phenotype under both aerobic and anaerobic conditions. The lethality is suppressed by a strain-polymorphic locus, named SAL1 (for Suppressor of aac2 lethality). SAL1 was identified to encode an evolutionarily conserved protein of the mitochondrial carrier family. Notably, the Sal1 protein was shown to bind calcium through two EF-hand motifs located on its amino terminus. Calcium binding is essential for the suppressor activity. Finally, Sal1p is not required for oxidative phosphorylation and its overexpression does not complement the R(-) phenotype of aac2 mutants. On the basis of these observations, it is proposed that Aac2p and Sal1p may define two parallel pathways that transport a nucleotide substrate in an operational mode distinct from ADP/ATP exchange.
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 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.
In the framework of the EU genome-sequencing programmes, the complete DNA sequence of the yeast Saccharomyces cerevisiae chromosome II (807 188 bp) has been determined. At present, this is the largest eukaryotic chromosome entirely sequenced. A total of 410 open reading frames (ORFs) were identified, covering 72% of the sequence. Similarity searches revealed that 124 ORFs (30%) correspond to genes of known function, 51 ORFs (12.5%) appear to be homologues of genes whose functions are known, 52 others (12.5%) have homologues the functions of which are not well defined and another 33 of the novel putative genes (8%) exhibit a degree of similarity which is insufficient to confidently assign function. Of the genes on chromosome II, 37-45% are thus of unpredicted function. Among the novel putative genes, we found several that are related to genes that perform differentiated functions in multicellular organisms of are involved in malignancy. In addition to a compact arrangement of potential protein coding sequences, the analysis of this chromosome confirmed general chromosome patterns but also revealed particular novel features of chromosomal organization. Alternating regional variations in average base composition correlate with variations in local gene density along chromosome II, as observed in chromosomes XI and III. We propose that functional ARS elements are preferably located in the AT-rich regions that have a spacing of approximately 110 kb. Similarly, the 13 tRNA genes and the three Ty elements of chromosome II are found in AT-rich regions. In chromosome II, the distribution of coding sequences between the two strands is biased, with a ratio of 1.3:1. An interesting aspect regarding the evolution of the eukaryotic genome is the finding that chromosome II has a high degree of internal genetic redundancy, amounting to 16% of the coding capacity.
We describe here genetic interactions between mutant alleles of Actin-NonComplementing (ANC) genes and actin (ACT1) or actin-binding protein (SAC6, ABP1, TPM1) genes. The anc mutations were found to exhibit allele-specific noncomplementing interactions with different act1 mutations. In addition, mutant alleles of four ANC genes (ANC1, ANC2, ANC3 and ANC4) were tested for interactions with null alleles of actin-binding protein genes. An anc1 mutant allele failed to complement null alleles of the SAC6 and TPM1 genes that encode yeast fimbrin and tropomyosin, respectively. Also, synthetic lethality between anc3 and sac6 mutations, and between anc4 and tpm1 mutations was observed. Taken together, the above results strongly suggest that the ANC gene products contribute to diverse aspects of actin function. Finally, we report the results of tests of two models previously proposed to explain extragenic noncomplementation.
All three genes (AAC1, AAC2 and AAC3) encoding the mitochondrial ADP/ATP translocator, were inactivated in a haploid yeast strain by a gene disruption technique. The triple mutant was still able to grow on fermentable carbon sources but only in the presence of oxygen. Under aerobic conditions neither translocator-protein nor carrier-mediated transport was detected in all mutants in which the AAC2 gene was disrupted. It was further shown that a functional AAC genes product is essential only for anaerobic growth of Saccharomyces cerevisiae but not for growth under derepressed conditions. Under anaerobic conditions a non-detectable amount of AAC3 gene product is sufficient to ensure the cell growth and multiplication.
The op1 mutation in yeast is known to be due to a defect in the mitochondrial ADP/ATP translocator. Sequencing of the gene AAC2 revealed that the mutation resulted from a single base change that caused a replacement of arginine 97 by a histidine. The gene encoding AAC2 was also cloned and sequenced from an op1 revertant capable of growth on glycerol as a sole carbon source. Sequence analysis indicates that the reverted gene underwent rearrangement in which a portion of an unknown gene was used to repair the mutation. An oligonucleotide complementary to this insert was used to clone a previously unrecognized gene encoding ADP/ATP translocator in yeast. The newly discovered gene, AAC3, is homologous with the previously known genes AAC1 and AAC2. Gene disruption experiments suggest that AAC2 encodes the majority of the translocator. Expression of AAC1 and AAC2 required derepressed conditions whereas expression of AAC3 occurred almost exclusively under anaerobic conditions. Both the op1 mutant and the strain that contains an interrupted AAC2 were able to grow under anaerobic conditions, suggesting that AAC3 can replace the gene product of AAC2. Indeed, when cloned into multicopy plasmid, AAC3 was able to replace the disrupted AAC2 in the JLY-73 strain. The concomitant disruption of the AAC2 and AAC3, however, results in arrest of cell growth under conditions of low oxygen tension. The discovery of a third gene encoding ADP/ATP translocator helps to clarify certain characteristics of op1 mutants which could not be resolved in the past.