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Journal of Bacteriology, January 2008, p. 193-205, Vol. 190, No. 1
0021-9193/08/$08.00+0 doi:10.1128/JB.01196-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
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Department of Microbiology and Cell Science, University of Florida, Gainesville, Florida 32611
Received 15 July 2007/ Accepted 12 October 2007
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To date, there are only a modest number of proteins with confirmed phosphorylation sites among archaea (11, 27). Several of these mirror eukaryotic and/or bacterial counterparts in terms of modification status and function. Based on traditional radiolabeling experiments, such proteins as Halobacterium salinarum CheA and CheY are phosphorylated at sites identical to those of their two-component signal transduction bacterial homologs (45). The archaeal translation initiation factor 2
of Pyrococcus horikoshii is phosphorylated at Ser48 by a kinase (PH0512) related to the human double-stranded RNA-dependent protein kinase (51). In both Crenarchaeota and Euryarchaeota, the initiator protein Cdc6 (Orc) is autophosphorylated by a DNA-regulated mechanism at a conserved Ser residue (10, 16). Likewise, the β subunit of 20S proteasomes from Haloferax volcanii is phosphorylated at a Ser residue (21). A zinc-dependent aminopeptidase, with a leucine zipper motif that associates with a CCT-TRiC family chaperonin, has also been shown to be phosphorylated in Sulfolobus solfataricus (8).
The advent of modern high-throughput phosphoenrichment and analytical tools provides the opportunity now to identify archaeal phosphoproteins on a large scale, including those that lack similarity to members of the bacterial or eukaryotic clades or for which modifications have not been predicted previously. This study, in which a comparative proteomic analysis of wild-type H. volcanii cells and those lacking proteasomal function through deletion of a primary proteasome-activating nucleotidase (PanA) was performed, exemplifies such a scenario. The analysis included a combination of high-throughput phosphoenrichment methods, subenrichment strategies, and tandem mass spectrometry (MS-MS).
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Strains, media, growth conditions, and plasmids.
Escherichia coli strains DH5
and GM2163 (New England Biolabs) were, respectively, used for routine cloning and purification of plasmid DNA for transformation of H. volcanii according to the methods of Cline et al. (7). E. coli strains were grown in Luria broth supplemented with 100 mg ampicillin, 50 mg kanamycin, and/or 30 mg of chloramphenicol per liter as needed. For genetic analysis, H. volcanii strains were grown at 42°C in YPC medium as described in reference 1. H. volcanii medium was supplemented with 4 to 5 mg mevinolin per ml and/or 0.1 mg novobiocin per liter as needed. H. volcanii DS70 (56) served as the parent strain for the generation of the panA mutant strain GG102. The chromosomal copy of GG102 panA has a 187-bp deletion and an insertion of a modified Haloarcula hispanica hmgA gene (hmgA*) encoding 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, which renders H. volcanii cells resistant to mevinolin (56). The following approach was used to generate GG102. Vent DNA polymerase was used for PCR amplification of the panA gene from H. volcanii genomic DNA using primer 1 (5'-CATATGATGACCGATACTGTGGAC-3' and primer 2 (5'-GAATTCAAAACGAAATCGAAG GAC-3') (NdeI and EcoRI sites are boldfaced). H. volcanii genomic DNA was prepared for PCR from colonies of cells freshly grown on YPC plates. In brief, cells were transferred into 30 µl distilled H2O using a toothpick, boiled (10 min), chilled on ice (10 min), and centrifuged (for 10 min at 14,000 x g). The supernatant (10 µl) was used as the template for PCR. The 1.28-kb PCR fragment was cloned into pCR-BluntII-TOPO (Invitrogen) to generate plasmid pJAM636. The fidelity of this insert was confirmed by DNA sequencing at the University of Florida Interdisciplinary Center for Biotechnology Research. The 1.5-kb NotI fragment of plasmid pMDS99, which carries hmgA* (56), was inserted into the BbvCI-to-NruI sites of panA carried on pJAM636 by blunt-end ligation to generate plasmid pJAM906. This suicide plasmid (pJAM906, which carries hmgA* and panA in the same orientation, as determined by restriction mapping using KpnI and AgeI) was transformed into H. volcanii DS70, and recombinants were selected on YPC solid medium supplemented with mevinolin. Isolated colonies were restreaked for isolation on fresh YPC solid medium plus mevinolin and were screened by PCR using primers that annealed outside the panA region of suicide plasmid pJAM906 (primer 3 [5'-TACGATAAGGACTCGGCGTCGCAGC-3'] and primer 4 [5'-TACGTC GCGTTCGCGGCGTAGTCAC-3']). Clones that generated the appropriate PCR product were further screened by Western blotting using anti-PanA, anti-PanB, anti-
1, and anti-
2 antibodies as described previously (44). For complementation studies, H. volcanii-E. coli shuttle plasmids carrying panA and panB genes were transformed into mutant strain GG102. These plasmids, pJAM650 and pJAM1012, encode C-terminal polyhistidine-tagged PanA and PanB (PanA-His6 and PanB-His6), respectively, under the control of the Halobacterium cutirubrum rRNA P2 promoter and were constructed as follows. The 1.2-kb NdeI-HindIII fragment of pJAM642 and the 1.24-kb NdeI-XhoI fragment of pJAM1006 (44) were separately blunt-end ligated into the NdeI-BlpI site of pJAM202 (24) to replace psmB-his6 with panA-his6 (pJAM650) and panB-his6 (pJAM1012), respectively.
For growth rate and proteomic analyses, log-phase H. volcanii cells were grown in 25 ml (125-ml foil-capped Erlenmeyer flasks, 200 rpm, 42°C) of ATCC 974 medium and minimal medium (1), respectively. For proteomic analysis, cells were grown to an optical density at 600 nm (OD600) of 1.0 to 1.2, harvested by centrifugation (at 10,000 to 14,000 x g and 4°C), flash frozen in liquid nitrogen, and stored at –80°C.
Protein extraction and quantification. For IMAC analysis, protein was extracted from cells according to a previous study (25). For all other procedures, protein was extracted using Trizol according to protocols described previously (28). Samples were dried through vacuum centrifugation and stored at –80°C. Protein concentrations were determined by a Bradford protein assay using bovine serum albumin as a standard according to the supplier's instructions (Bio-Rad).
2-DE. 2-DE was carried out as described previously with 11 cm immobilized pH gradient strips and Criterion 12.5% resolving Tris-HCl gels (Bio-Rad) (28). Prior to separation, protein samples were reconstituted in an isoelectric focusing-compatible buffer consisting of 250 mM glycerol, 10 mM triethanolamine, and 5% (wt/vol) 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate (CHAPS). Proteins separated by 2-DE were stained in the gel with Pro-Q Diamond phosphoprotein stain according to the supplier's instructions (Invitrogen). Gels were imaged with the Molecular Imager FX scanner with a 532-nm excitation laser and a 555-nm LP emissions filter (Bio-Rad). Acquired images were analyzed with PDQuest (version 7.0.1) software (Bio-Rad).
Protein reduction, alkylation, and tryptic digestion. Dried protein samples (300 µg) were resuspended in 100 µl of 50 mM NH4HCO3 (pH 7.5). Samples were reduced by the addition of 5 µl of 200 mM dithiothreitol (DTT solution) (for 1 h at room temperature or 21°C). Samples were alkylated by the addition of 4 µl of 1 M iodoacetamide (for 1 h at 21°C). Alkylation was stopped by the addition of 20 µl of DTT solution (for 1 h at 21°C). Samples were digested with a 1:20 ratio of trypsin to protein for 18 to 24 h at 37°C. Digested peptides were purified using 300-µl C18 spin columns and dried under vacuum centrifugation. In-gel proteins were reduced, alkylated, and digested with trypsin by using an automated platform for protein digestion (ProGest; Genomics Solutions, Ann Arbor, MI).
Peptide methyl esterification. A 2 M concentration of methanolic acid was generated by adding 60 µl of acetyl chloride dropwise to 300 µl of anhydrous methanol in a glass tube. The mixture was sealed and incubated (for 10 to 15 min at 21°C). Dried tryptic peptides were mixed with 30 µl of the methanolic acid reagent and incubated in a sealed jar containing desiccative material for 90 min at 21°C. Methyl esterified samples were dried under vacuum centrifugation and reconstituted in mobile phase B (0.1% [vol/vol] acetic acid, 0.01% [vol/vol] trifluoroacetic acid, and 95% [vol/vol] acetonitrile) for MS-MS analysis.
IMAC. Phosphoprotein enrichment by IMAC was performed using a phosphopurification system according to the supplier's instructions (Qiagen) with the following modifications. Extracted protein (2.5 mg) was resuspended in 25 ml of the supplied lysis buffer to a final concentration of 0.1 mg of protein per ml. Six 500-µl fractions per sample, as opposed to the suggested four, were collected for analysis.
Titanium dioxide phosphopeptide enrichment. MOAC of H. volcanii DS70 and GG102 peptides was performed using the Phos-Trap phosphopeptide enrichment kit (catalog no. PRT301001KT; Perkin-Elmer) with the following modifications. Samples were agitated in the presence of 40 µl of elution buffer as opposed to the recommended 20 µl. Samples were incubated with the TiO2 resin for 10 min instead of 5 min and were incubated with elution buffer for 15 min instead of 10 min. The resulting samples were dried under vacuum centrifugation at 42°C for 30 min and reconstituted in mobile phase B for MS-MS analysis.
RP-HPLC coupled with nanoelectrospray ionization-QTOF (QStar) MS-MS. Separation of peptides (desalted with a PepMap C18 cartridge) by capillary reversed-phase high-performance liquid chromatography (RP-HPLC) was performed using a PepMap C18 column (15 cm [length] by 75 µm [inner diameter]) and an Ultimate Capillary HPLC system (LC Packings, San Francisco, CA). A linear gradient of 5% to 40% (vol/vol) acetonitrile for 25 min at 200 nl·min–1 was used for separation. MS-MS analysis was performed online using a hybrid quadrupole time-of-flight (QTOF) instrument (QStar XL hybrid LC/MS-MS) equipped with a nanoelectrospray source (Applied Biosystems, Foster City, CA) and operated with Analyst QS (version 1.1) data acquisition software. Information-dependent acquisition was employed in which each cycle consisted of a full scan from m/z 400 to 1,500 (1 s) followed by MS-MS (3 s) of the two ions that exhibited the highest signal intensity. In the full-scan acquisition mode, ions were focused through the first quadrupole by focusing and declustering potentials of 275 V and 55 V, respectively, and were guided to the TOF region via two quadrupole filters operated in radio frequency (rf)-only mode. Ions were orthogonally extracted, accelerated through the flight tube (plate, grid, and offset voltages were 340, 380, and –15 V, respectively), and refocused to a 4-anode microchannel plate detector via an ion mirror held at 990 V. The same parameters were utilized with the MS-MS mode of operation; however, the second quadrupole was employed to filter a specific ion of interest while the third quadrupole operated as a collision cell. Nitrogen was used as the collision gas, and collision energy values were optimized automatically using the rolling collision energy function based on m/z and the charge state of the peptide ion.
LCQ ion trap MS. IMAC samples separated in the gel were analyzed with a Thermo LCQ Deca quadrupole ion trap MS (LCQ Deca MS) in line with a 5-cm (length) by 75-µm (inner diameter) Pepmap C18 5-µm-particle-size (300-Å mean pore diameter) capillary column (LC Packings). The HPLC device operating upstream of the MS system was run with a 60-min gradient from 5% to 50% mobile phase B with a flow rate of 12 µl·min–1. MS parent ion scans were followed by four data-dependent MS-MS scans.
MS data and protein identity analyses. Spectra from all experiments were converted to DTA files and merged to facilitate database searching using the Mascot search algorithm (version 2.1; Matrix Science, Boston, MA) against the deduced H. volcanii proteome (assembly, 26 May 2006; http://archaea.ucsc.edu/). Search parameters included trypsin as the cleavage enzyme. Carbamidomethylation was defined as the only fixed modification in the search, while methionine oxidation, pyro-Glu from glutamine or glutamic acid, acetylation, and phosphorylation of serine, threonine, and tyrosine residues were set as variable modifications. Mass tolerances for all LCQ analyses were 2 Da for MS and 1 Da for MS-MS. Mass tolerances for all QStar analyses were 0.3 Da for both MS and MS-MS. Protein identifications for which a probability-based molecular weight search (MOWSE) score average of 30 or above was not assigned were excluded. Proteins were considered unique to GG102 panA or DS70 only if protein identities were exclusive for at least 2 samples per strain. Transmembrane spanning helices were predicted using TMHMM, version 2.0 (32). Phosphosites were predicted using NetPhos, version 2.0 (5). Proteins were categorized into clusters of orthologous groups (COG) using COGNITOR (53).
All phosphopeptides predicted by MS via the Mascot database search algorithm were filtered to include only those peptides that were top-ranking hits and had E values less than 3.0. The resulting list of phosphopeptide spectra was reviewed manually with Analyst QS (version 1.1) acquisition software (Applied Biosystems, Foster City, CA), with Scaffold software (version 1.6; Proteome Software, Portland, OR), and with spectral data generated through the Mascot search algorithm. The peptide fragment masses detected were compared with those in a theoretical peptide fragmentation spectrum generated by Protein Prospector, version 4.0.8 (P. R. Baker and K. R. Clauser; http://prospector.ucsf.edu). Mass additions of 80 Da (HPO3) or neutral losses of 98 Da (H3PO4) were confirmed mathematically through analysis of peptide fragmentation and correlation of detected diagnostic ions present in the corresponding spectrum. Consideration was also given to spectral quality, including peak intensity and completeness of generated ion series, in the screening of spectral data for confirmation of modification. Theoretical lists of modified internal ions were also generated, searched, and assigned in the actual spectra.
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1,
2, and β), H. volcanii encodes two proteasome-activating nucleotidase proteins (PanA and PanB), which are 60% identical. Of these, the
1, β, and PanA proteins are relatively abundant during all phases of growth (on rich medium at moderate temperatures, 37 to 42°C) (44). In contrast, the levels of PanB and
2 are relatively low in the early phases of growth and increase severalfold during the transition to stationary phase (44). To further investigate the function of the predominant Pan protein, PanA, a mutation was generated in the chromosomal copy of the panA gene. A suicide plasmid, pJAM906, was used to generate this mutation, in which panA had a 187-bp deletion in addition to an insertion of the H. hispanica mevinolin resistance marker. Recombinants were selected on rich medium supplemented with mevinolin and screened by colony PCR using primers which annealed outside the chromosomal region that had been cloned onto the suicide plasmid. Approximately 10% of the clones that were screened generated the expected panA mutant PCR product of 2.50 kb compared to the parent strain PCR product of 1.28 kb (data not shown). Of the PCR-positive clones, one (GG102) was selected for further analysis by Western blotting using anti-PanA antibodies. The PanA protein was readily detected by Western blotting for the parent strain, DS70 (Fig. 1). In contrast, PanA was not detected under any growth conditions for the panA mutant GG102, thus confirming the mutation.
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FIG. 1. Western blot analysis of the H. volcanii panA mutant strain GG102. Cell lysates of the parent strain, DS70, and the panA mutant, GG102, were analyzed by Western blotting using anti-PanA, -PanB, - 1, and - 2 polyclonal antibodies as indicated (where 1 and 2 are the -type subunits of 20S proteasomes). Total protein (2, 4, and 8 µg) from DS70 (lanes 1, 3, and 5) and GG102 (lanes 2, 4, and 6) was separated by 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis prior to analysis.
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1,
2, and PanB proteins (where
1 and
2 are subunits of 20S proteasomes). No differences in the levels of any of these three proteasomal proteins were detected between these two strains when they were grown to log phase in minimal medium (Fig. 1). Thus, H. volcanii does not appear to have a feedback mechanism to increase the levels of PanB or 20S proteasomes after a loss of PanA under the growth conditions examined in this study. Growth phenotype of the panA mutant GG102 compared to its parental and complemented strains. Comparison of GG102 panA to its parent, DS70, revealed significant differences in growth in rich medium (Fig. 2). This included an increase in the doubling time from 4.1 to 5.2 h as well as a decrease in the overall cell yield from an OD600 of 2.1 to 1.8. Both the doubling time and the overall cell yield were at least partially restored by complementation with plasmid pJAM650 or pJAM1020, encoding PanA-His6 or PanB-His6 protein, respectively. The ability of the pHV2-derived plasmid pJAM1020 to partially complement the panA mutation for growth may be due, at least in part, to the high-level expression of PanB from this plasmid, which includes both a strong rRNA P2 promoter of H. cutirubrum and a T7 terminator to mediate transcription of the panB-his6 gene fusion. This is likely to alter the levels of PanB protein, normally low in early phases of growth and increased severalfold during the transition to stationary phase. Although the PanA and PanB proteins may have overlapping functions based on this partial complementation for growth, these proteins differ significantly in primary sequence (by 40%) and growth phase-dependent regulation (44) and thus are likely to degrade proteins differentially in terms of substrate preference and/or rate.
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FIG. 2. Reduced growth phenotype of H. volcanii GG102 panA compared to its parent and complemented strains. The DS70 parent strain ( ), GG102 panA ( ), GG102 panA(pJAM650) ( ), and GG102 panA(pJAM1012) () were inoculated (1%) from log-phase cultures into 25 ml ATCC 974 medium at 42°C (200 rpm) in 125-ml Erlenmeyer flasks and were monitored for growth (OD600). Plasmids pJAM650 and pJAM1012 encode PanA-His6 and PanB-His6, respectively. Experiments were performed in biological triplicate.
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FIG. 3. Total proteins of the H. volcanii parent strain, DS70 (A), and GG102, its panA mutant (B), separated by 2-DE and stained with the phosphospecific fluorescent protein stain Pro-Q Diamond. Protein molecular mass standards (Bio-Rad Low Range) and the range of the immobilized pH gradient strip used for isoelectric focusing are indicated on the left and at the top, respectively.
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In total, these approaches resulted in the identification of 625 proteins with MOWSE scores of 30 or above and with at least 2 peptides identified per protein (see Table S1A in the supplemental material; detailed proteomic data are available upon request). This corresponds to 15.4% of the deduced proteome of H. volcanii, based on the DS2 genome sequence minus proteins encoded by pHV2 (the plasmid cured from DS70 and its derivatives). The proteins identified ranged from 4.9 to 186 kDa, with an average molecular mass of 41.6 kDa. The majority of the proteins identified (523 proteins, or 83% of the total) were encoded on the 2.848-Mb chromosome. The coding sequences for the remaining 202 proteins were distributed among pHv4 (52 proteins), pHv3 (43 proteins), and pHv1 (7 proteins). This represents 8 to 17% of the coding capacity for each element (18% of the 2.848-Mb chromosome, 8.2% of pHv4, 11.2% of pHv3, and 7.9% of pHv1). Of the total proteins identified, 145 were based on high-probability scores and multiple peptide identifications within a single biological replicate and thus were not assigned as unique or common to DS70 or GG102. The remaining proteins were categorized as either common to GG102 and DS70 (328 proteins), unique to DS70 (57 proteins), or unique to GG102 (98 proteins) (see Table S1A in the supplemental material). The number of proteins identified by MS-MS in these phosphoprotein-enriched fractions that were exclusive to GG102 was nearly twofold higher than the number of identified proteins exclusive to DS70. This relative difference in MS-MS-identified strain-specific proteins is consistent with the differences observed in the number of Pro-Q Diamond-stained 2-DE gel spots from the proteomes of these two strains.
The 480 proteins that were categorized as either common to both strains or exclusive to one strain (DS70 or GG102 panA) were identified based on an average detection per protein of 4.7 tryptic peptides in 5 biological replicates and an average MOWSE score of 76. Among the proteins common to both strains, 8 to 9% were estimated to be more abundant in either GG102 (15 proteins) or DS70 (13 proteins) based on spectral counts. Of the total 625 proteins identified, only a small portion (32 proteins, or 5.1%) were predicted to form transmembrane spanning helices (TMH), compared to the approximately 22% putative TMH proteins encoded on the genome (see Table S1A in the supplemental material). The TMH proteins were detected primarily in GG102 (more than 80%), with nearly 50% classified as unique to this strain. A lower proportion of TMH proteins was detected in DS70 (53%) with only 2 of these (6%) grouped as exclusive to this strain. While the significantly higher number of identified predicted membrane proteins in the panA deletion strain than in the wild type is intriguing, the overall number identified is low, and they are likely to require preparation of membranes to enhance their detection (30).
Summaries of proteins identified as either unique to or more abundant in either GG102 or DS70 are given in Tables 1 and 2. At this stage in our understanding, it is not clear whether these differences in proteomes between the two strains reflect a change in the phosphorylation status of the protein or in overall protein abundance. However, the identification of these differences was reproducible. As a confirmation of the approaches, the PanA protein was exclusively and reproducibly detected in the DS70 parent strain across all proteomic analyses. The PanA protein was not detected in GG102, consistent with the targeted knockout of the encoding panA gene from the chromosome of this strain (Fig. 1).
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TABLE 1. Proteins identified as unique to either the panA mutant GG102 or the parent strain, DS70a
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TABLE 2. Proteins identified as common but with higher spectral counts, suggesting greater abundance, for either the panA mutant GG102 or DS70
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FIG. 4. Proteins identified by MS-MS as exclusive to either the panA mutant (GG102) or parent (DS70) grouped according to the COG database. "Members of COG" represents the number of exclusive proteins which group to a particular COG as a percentage of total exclusive proteins identified by MS-MS for GG102 (solid bars), DS70 (open bars), and the sum of GG102 and DS70 (striped bars). COG groups listed include E (amino acid transport and metabolism), R/S (general function prediction only/function unknown), C (energy production and conversion), G (carbohydrate transport and metabolism), K (transcription), J (translation, ribosomal structure, and biogenesis), O (posttranslational modification, protein turnover, chaperones), L (DNA replication, recombination, and repair), F (nucleotide transport and metabolism), M (cell envelope biogenesis, outer membrane), P (inorganic ion transport and metabolism), N/U (cell motility and secretion/intracellular trafficking), T (signal transduction mechanisms), V (defense mechanisms), D/B (cell division and chromosome partitioning), I (lipid metabolism), and H (coenzyme metabolism).
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FIG. 5. Organization of H. volcanii genes encoding proteins linked with phosphorus transport and metabolism that are altered by the panA mutation. Genes encoding relevant paralogs are also included. ORFs are numbered according to the genome assembly available at http://archaea.ucsc.edu/. ORFs encoding proteins unique to GG102 (solid arrows), unique to DS70 (shaded arrows), common to DS70 and GG102 (hatched arrows), and not detected in this study (open arrows) are indicated. Proteins include leucyl-tRNA synthetase (leuS); heat shock proteins (hsp); prephenate dehydratase (pheA); the glutamine amidotransferase subunit of imidazole glycerol phosphate synthase (hisH); phosphate binding protein (hbp); phosphonate/phosphate ABC transporter ATPase (phnC) and permease (phnE); regulatory proteins of phosphate assimilation and metabolism (phoU1 and phoU3); an protein homolog ambiactive regulator of transcription during transition between log and stationary phase fused to PhoU (abrB_phoU2); phosphate ABC transporter ATP-binding (pstB1 and pstB2), permease (pstA1, pstA2, pstC1, and pstC2), and solute-binding (pstS1 and pstS2) components; a conserved protein (HVO_0476, which is linked to all haloarchaeal pst operons identified to date); superoxide dismutase (SOD)transmembrane helix (TMH); thioredoxin reductase (trxB); inositol monophosphatase/NADPH phosphatase (suhB); glycerophosphoryl diester phosphodiesterase (ugpQ); glycerol-3-phosphate ABC transporter solute binding (ugpB), permease (ugpA and ugpE), and ATP-binding (ugpC) components; cysteine synthase (cysK); thiamine biosynthesis protein (thiI); polyphosphate kinases (ppk1 and ppk2); S-adenosylmethionine synthase (metK); adenylate cyclase (cyaA); cytochrome oxidase (cox1); zinc/cadmium cation efflux system (ZnCad efflux); histidine triad DNA-binding protein (His triad); methionine aminopeptidase type II (map); serine/threonine protein phosphatase (prpA); and inorganic pyrophosphatase (ppa). Proteins encoded by genes abbreviated as abrB_phoU2 and thiI_tRNA modification may be multifunctional. Bar, 1,000 bp of genomic DNA.
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A number of additional differences in transcription and signal transduction proteins were also observed between DS70 and GG102 panA. For example, subunits of RNA polymerase were altered by the panA mutation, with Rpb4 more abundant in DS70 fractions and RpoA and RpoB (
and β) more abundant in those of GG102 (Table 2). The altered levels of Rpb4 in DS70 versus GG102 are consistent with the recent finding that the levels of this protein are directly correlated with eukaryotic cell growth (i.e., cells expressing lower levels of Rpb4 grow more slowly than cells expressing higher levels) (48). In addition to the differences noted above, a BolA-like protein and conditioned medium-induced protein 2 (Cmi2) were identified exclusively in DS70. BolA triggers the formation of osmotically stable round cells when overexpressed in stationary-phase E. coli (46), and Cmi2, a putative metal-regulated transcriptional repressor, may be regulated by quorum sensing in H. volcanii (G. Bitan-Banin and M. Mevarech, GenBank accession no. AAL35835). A number of putative DNA-binding proteins and homologs of methyl-accepting chemotaxis (MCP) proteins were also found to be altered. In addition, a number of mandelate racemase/muconate lactonizing enzymes related to the E. coli starvation-sensing protein RspA (20) were altered by the panA mutation.
Some archaea do not encode Pan proteins (e.g., species of Thermoplasma, Pyrobaculum, and Cenarchaeum). Thus, it is speculated that Cdc48/VCP/p97 AAA+ ATPases, which are universal to archaea, may function with 20S proteasomes as in eukaryotes (22). Interestingly, two Cdc48-like AAA+ ATPases were identified as either exclusive or more abundant in GG102 panA than in DS70 (HVO_1327 and HVO_2700 [Tables 1 and 2, respectively]), suggesting that these proteins may compensate in part for the loss of the AAA ATPase function of PanA. A TMH homolog of prohibitin (HVO_0035) known to regulate AAA protease function (3) was also identified as exclusive to GG102.
Intriguing similarities also emerged between the proteomic profiles of this study and our previous work in which cells were treated with the 20S proteasome-specific inhibitor cLβL and analyzed by 2-DE (29). Specifically, three proteins that accumulated more than fivefold in cells treated with cLβL were also discovered in notably higher abundance in the panA mutant strain than in the parent strain of this study. This subset of proteins included the DJ-1/ThiJ family protease, the translation elongation factor EF-1
, and the Fe-S cluster assembly ATPase SufC (Table 2). In addition, FtsZ cell division protein homologs and components of the putative phosphoenolpyruvate PTS which appear to be coupled to dihydroxyacetone kinase (PtsI, DhaK, DhaL) were also found at higher levels in GG102 panA and cLβL-treated cells than in the wild type.
Phosphopeptide identification. Based on favorable likelihood scores using the Mascot search algorithm and careful manual analysis of the peptide spectra, nine individual phosphosites, including four serine, four threonine, and one tyrosine modification site, were tentatively identified and mapped to a total of eight proteins (Table 3; see also Fig. S1A to H in the supplemental material). Five of these phosphosites were identified exclusively by the combined IMAC-MOAC approach (experiment D). The remaining four sites were identified by the combined IMAC-MOAC process as part of an overlapping data set with at least one other phosphoanalysis method within this study (Table 3). Although neural networks are not yet available for archaeal protein phosphosite predictions based on the limited data set available for this domain, many of the putative phosphosites identified in this study had NetPhos scores above the threshold of 0.5, which is based on eukaryotic phosphosites.
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TABLE 3. Putative phosphosites identified by MS-MSa
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Many of the phosphorylated proteins identified and listed in Table 3 are supported by evidence of the phosphorylation and proteasome-mediated destruction of their orthologs. For example, eukaryal RNA polymerases II and III are phosphorylated at tyrosine, serine, and/or threonine residues (23, 49), and ubiquitin E3 ligase Wwp2 targets the Rpb1 subunit of RNA polymerase II (related to H. volcanii RpoA') for destruction by 26S proteasomes (37). Eukaryal and archaeal Cdc6 proteins undergo autophosphorylation at serine residues as a presumed means of regulating their DNA helicase loading activity (10, 16). Furthermore, the ubiquitin/proteasome-mediated destruction of Cdc6 in both mammalian and yeast cells has been observed and is proposed to be a mechanism for uncoupling DNA replication and cell division as part of a preprogrammed cell death response (4). Cdc48/p97/VCP proteins undergo Akt-mediated phosphorylation at multiple sites as a mode of ubiquitinated protein substrate release to facilitate degradation by proteasomes (31). In addition, these AAA+ ATPase proteins are phosphorylated by DNA-protein kinase at serine residues as part of a proposed mechanism to enable chaperone activity and to aid in DNA repair (40).
Conclusions. Based on the results of this study, a global increase in the number of phosphoproteins appears to occur in a panA mutant compared to wild-type cells. Although several of the proteins enriched and identified as exclusive to GG102 panA are likely involved in phosphorus assimilation and metabolism and thus may bind phosphate noncovalently, this alone cannot account for the large-scale difference in phosphoprotein staining between the panA mutant and its parent. Therefore, we propose that the phosphorylation of protein substrates may facilitate their recognition for proteasome-mediated destruction in organisms for which traditional ubiquitination pathways are absent (e.g., archaea, actinomycetes). It is also possible that the observed changes in phosphoprotein content reflect a secondary effect of the maintained presence of a kinase or enhanced digestion of a phosphatase.
It has been demonstrated in eukaryotes that protein phosphorylation can serve as a precursor to ubiquitin tagging and subsequent degradation by 26S proteasomes (26, 39). Furthermore, phosphorylation of conserved sequences rich in proline, glutamic and aspartic acids, serine, and threonine (PEST sequences) is a well-known example of posttranslational modification as a destabilizing force on substrate proteins (15, 43). The link between protein phosphorylation and proteasomal degradation is also supported through the function of accessory structures such as the COP9 signalosome, which has been implicated as a coordinator of protein kinases and ubiquitin ligases in plant systems (18).
The predominant proteins identified as exclusive to the panA mutant GG102 (versus DS70) were linked to protein folding, Fe-S cluster assembly, oxidative stress response, and phosphorus assimilation and polyphosphate synthesis. A number of additional differences in transcription and signal transduction proteins (e.g., OsmC, BolA, Cmi2) were also observed between these two strains, and these, together with the growth defect, suggest that the panA mutant is undergoing stress and accumulating polyphosphate. Consistent with this, a distant relative of PanA, the ATPase ring-forming complex of mycobacteria, is presumed to associate with 20S proteasomes and serve as a defense against oxidative or nitrosative stress (9). Proteasomal inhibition has also been shown to hypersensitize differentiated neuroblastoma cells to oxidative damage (36). Interestingly, a polyphosphate-Lon protease complex is proposed in the adaptation of E. coli to amino acid starvation (34). Whether archaeal proteasomes are linked to polyphosphate remains to be determined; however, short-chain polyphosphates identical to those of Saccharomyces cerevisiae have been detected in H. volcanii cells grown under conditions of amino acid starvation (47).
This research was funded in part by a grant from the National Institutes of Health (R01 GM057498) and Department of Energy (DE-FG02-05ER15650).
Published ahead of print on 26 October 2007. ![]()
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