ACP1 | GeneID:853642 | Saccharomyces cerevisiae
Gene Summary
[
] NCBI Entrez Gene
| Gene ID | 853642 | Official Symbol | ACP1 |
|---|---|---|---|
| Locus | YKL192C | Gene Type | protein-coding |
| Synonyms | |||
| Full Name | N/A | ||
| Description | Acp1p | ||
| Chromosome | N/A | ||
| Also Known As | Mitochondrial matrix acyl carrier protein, involved in biosynthesis of octanoate, which is a precursor to lipoic acid; activated by phosphopantetheinylation catalyzed by Ppt2p | ||
| Summary | N/A | ||
Orthologs and Paralogs
[
] Homologs - NCBI's HomoloGene Group: 39504
| ID | Symbol | Protein | Species |
|---|---|---|---|
| GeneID:842836 | MTACP2 | NP_176708.1 | Arabidopsis thaliana |
| GeneID:853642 | ACP1 | NP_012729.1 | Saccharomyces cerevisiae |
| GeneID:2543562 | SPAC4H3.09 | NP_594345.1 | Schizosaccharomyces pombe |
| GeneID:2676441 | MGG_03484 | XP_360941.1 | Magnaporthe grisea |
| GeneID:2706395 | NCU05008.1 | XP_324365.1 | Neurospora crassa |
| GeneID:2893357 | KLLA0D02838g | XP_453194.1 | Kluyveromyces lactis |
| GeneID:4332854 | Os03g0352800 | NP_001050125.1 | Oryza sativa |
| GeneID:4621168 | AGOS_AER103W | NP_984963.1 | Eremothecium gossypii |
Gene Classification
[
] Gene Ontology
| ID | Category | GO Term |
|---|---|---|
| GO:0005739 | Component | mitochondrion |
| GO:0070469 | Component | respiratory chain |
| GO:0000036 | Function | acyl carrier activity |
| GO:0048037 | Function | cofactor binding |
| GO:0031177 | Function | phosphopantetheine binding |
| GO:0022900 | Process | electron transport chain |
| GO:0006633 | Process | fatty acid biosynthetic process |
| GO:0008610 | Process | lipid biosynthetic process |
| GO:0009105 | Process | lipoic acid biosynthetic process |
| GO:0006810 | Process | transport |
Gene Interactions
[
] BioGRID Gene Product Interaction Database
| Symbol | Interaction Binary | Experiment | Source |
|---|---|---|---|
| FAS2 | FAS2 / ACP1 | Phenotypic Enhancement | Brody S (1997) |
| FMC1 | FMC1 / ACP1 | Affinity Capture-MS | Krogan NJ (2006) |
| N/A | N/A / ACP1 | Affinity Capture-MS | Krogan NJ (2006) |
Selected Publications
[
] Gene-related publications indexed at PubMed
- [
] 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 - [
] Sickmann A, et al. (2003) "The proteome of Saccharomyces cerevisiae mitochondria." Proc Natl Acad Sci U S A. 100(23):13207-13212. PMID:14576278 - [
] Brody S, et al. (1997) "Mitochondrial acyl carrier protein is involved in lipoic acid synthesis in Saccharomyces cerevisiae." FEBS Lett. 408(2):217-220. PMID:9187370 - [
] Goffeau A, et al. (1996) "Life with 6000 genes." Science. 274(5287):546, 563-546, 567. PMID:8849441 - [
] Dujon B, et al. (1994) "Complete DNA sequence of yeast chromosome XI." Nature. 369(6479):371-378. PMID:8196765 - [
] Cheret G, et al. (1993) "DNA sequence analysis of the YCN2 region of chromosome XI in Saccharomyces cerevisiae." Yeast. 9(6):661-667. PMID:8394042
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 performed a comprehensive approach to determine the proteome of Saccharomyces cerevisiae mitochondria. The proteins of highly pure yeast mitochondria were separated by several independent methods and analyzed by tandem MS. From >20 million MS spectra, 750 different proteins were identified, indicating an involvement of mitochondria in numerous cellular processes. All known components of the oxidative phosphorylation machinery, the tricarboxylic acid cycle, and the stable mitochondria-encoded proteins were found. Based on the mitochondrial proteins described in the literature so far, we calculate that the identified proteins represent approximately 90% of all mitochondrial proteins. The function of a quarter of the identified proteins is unknown. The mitochondrial proteome will provide an important database for the analysis of new mitochondrial and mitochondria-associated functions and the characterization of mitochondrial diseases.
The yeast gene, ACP1, encoding the mitochondrial acyl carrier protein, was deleted by gene replacement. The resulting acp1-deficient mutants had only 5-10% of the wild-type lipoic acid content remaining, and exhibited a respiratory-deficient phenotype. Upon meiosis, the lipoate deficiency co-segregated with the acp1 deletion. The role of ACP1 in long-chain fatty acid synthesis was studied in fast and fas2 null mutants completely lacking cytoplasmic fatty acid synthase. When grown on odd-chain (13:0 and 15:0) fatty acids, these cells showed less than 1% of C-16 and C-18 acids in their total lipids. Mitochondrial ACP is therefore suggested to be involved with the biosynthesis of octanoate, a precursor to lipoic acid.
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 complete DNA sequence of the yeast Saccharomyces cerevisiae chromosome XI has been determined. In addition to a compact arrangement of potential protein coding sequences, the 666,448-base-pair sequence has revealed general chromosome patterns; in particular, alternating regional variations in average base composition correlate with variations in local gene density along the chromosome. Significant discrepancies with the previously published genetic map demonstrate the need for using independent physical mapping criteria.
A 6.8 kbp DNA fragment localized to the left arm of chromosome XI from Saccharomyces cerevisiae was sequenced and analysed (EMBL accession no. X69765). Two genes involved in protein phosphatase activity were identified: YCN2 and an open reading frame encoding a protein that shares 46% amino acid identity with the sds22+ protein from Schizosaccharomyces pombe. A comparison of the genomic YCN2 sequence with the published cDNA sequence suggests the presence of an intron near the 5' end of the gene. Further sequence analysis suggests the presence of three additional genes near YCN2: a mitochondrial acyl-carrier protein, a gene encoding a putative hydrophobic protein, and a new gene coding for a tRNA(Leu) (UAA) isoacceptor located near a delta sequence.