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Department of Microbiology and Cell Science, University of Florida, Gainesville, 32611, USA
Correspondence
Julie A. Maupin-Furlow
jmaupin{at}ufl.edu
| ABSTRACT |
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A supplementary table and two supplementary figures are available with the online version of this paper.
| INTRODUCTION |
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Eukaryal 26S proteasomes, in association with the ubiquitin conjugation system, are essential for regulating a myriad of cellular functions such as antigen processing for major histocompatibility complex presentation (Kloetzel & Ossendorp, 2004
), circadian rhythmicity (Casal & Yanovsky, 2005
), cell division (Devoy et al., 2005
), metabolism (Asher et al., 2006
), transcription (Lipford et al., 2005
) and translation (Baugh & Pilipenko, 2004
; Arora et al., 2005
; Jiang & Wek, 2005
). Unlike eukaryotes, archaea do not encode a conserved ubiquitin conjugation system for tagging proteins for proteasome-mediated destruction. However, many fundamental aspects of physiology and biochemistry are conserved between these two domains, including highly related proteasomes.
Recently, clasto-lactacystin-β-lactone (cLβL) was shown to inhibit 20S proteasomes of the halophilic archaeon Haloferax volcanii (in vivo and in vitro) (Reuter & Maupin-Furlow, 2004
). The β-lactone component of cLβL irreversibly and specifically inhibits 20S proteasome activity via modification of the Ntn-threonine residue of the β-type subunits (Fenteany & Schreiber, 1998
). Thus, proteins that change in abundance after cLβL treatment of H. volcanii are likely to provide insight into the types of proteins that are regulated by archaeal proteasomes and expand our understanding of the role these multicatalytic proteases play in archaeal cell physiology.
In this communication, protein identities for 17 spots that increased in H. volcanii cells treated with the proteasome inhibitor cLβL were determined by MS/MS. These included homologues of proteins known to be essential in a variety of functions, including cell division, translation and metabolism. Evidence suggests that a subset of these proteins may be modified post-translationally.
| METHODS |
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Strains, media and culture conditions.
All experiments were performed in triplicate. H. volcanii DS70 was grown in rich medium (ATCC 974 at 42 °C, 200 r.p.m.) supplemented with cLβL and DMSO as indicated below. Growth was monitored as OD600 using a 50–2000 µl, 220–1600 nm UVette (Eppendorf) and a SmartSpec 3000 spectrophotometer (Bio-Rad). For growth curves, 6 ml cultures (125 ml Erlenmeyer flasks) were inoculated at 0.33 % (v/v) from 1 ml cultures (OD600 0.40–0.55, 13x100 mm tubes) of freshly isolated colonies. Proteasome inhibitor cLβL (0, 20 and 30 µM) and 0.5 % (v/v) DMSO were added to cultures at an OD600 of 0.15–0.20 (15 h growth). For preparation of proteins for 2-D gel electrophoresis (2-DE) and/or peptidase assay, 25 ml cultures were grown similar to above, with group 1 (with or without 20 µM cLβL) grown to an OD600 of 1.7–1.9 (18–24 h growth) and group 2 (with or without 30 µM cLβL) grown to an OD600 of 1.0. Cultures were chilled on an ice water bath for 15–30 min and cells were harvested at 12 000 g (5 min, 4 °C).
Peptide-hydrolysing assay.
To assess the influence of cLβL on peptidase activity, cell pellets of group 2 cultures were resuspended in 1 ml buffer A (2 M NaCl, 20 mM Tris/HCl at pH 7.2) and lysed by sonication (10 s followed by 1 min on ice, repeated three times) using a Sonifier Cell Disruptor on power level 20 and micro tip limit 7 (Heat Systems Ultrasonics). The cell lysate was clarified by centrifugation at 12 000 g (15 min, 4 °C). Protein concentration was determined by Bio-Rad Protein Assay using BSA as the standard. Triplicate peptidase assays (300 µl) were performed at 60 °C in buffer A with 200 µg cell lysate protein ml–1, 0.4 % (v/v) DMSO and 20 µM 7-amido-4-methylcoumarin (AMC)-linked peptide substrate (Sigma-Aldrich). Substrates incubated in buffer alone were subtracted from each assay. Release of AMC was monitored over a 30 min period by fluorescence using excitation wavelengths of 340–380 nm and an emission wavelength of 460 nm with an Aminco Fluoro-Colorimeter (American Instrument).
Preparation and separation of proteins by 2-DE.
Protein was purified from cell pellets of group 1 and group 2 cultures (0.4 mg wet weight) using a Trizol-based method and separated by 2-DE, as previously described (Kirkland et al., 2006
). Three biological replicate 2-DE gels were generated per culture and harvest condition to ensure accuracy and to determine the statistical significance of each variable spot. 2-DE was performed using immobilized pH gradient strips (11 cm, pI 3.9–5.1) for the first dimension and Criterion pre-cast SDS-polyacrylamide gels (12.5 %) for the second dimension (Bio-Rad). Proteins were stained in-gel with SYPRO Ruby and imaged with a Molecular Imager FX Scanner using a 532 nm excitation laser and a 555 nm LP emissions filter according to the supplier (Bio-Rad). Acquired images were statistically analysed with PDQuest 7.0.1 (Bio-Rad) as previously described (Karadzic & Maupin-Furlow, 2005
). Protein spots of interest were excised using the Bio-Rad ProteomeWorks spot cutter with fluorescent enclosure.
In-gel tryptic digestion and MS/MS protein analysis.
2-DE excised gel spots were reduced, alkylated, and digested with trypsin (Promega) in-gel, using an automated platform for protein digestion (ProGest; Genomics Solutions). Capillary reversed phase HPLC separation of protein digests (desalted with a PepMap C18 cartridge) was performed using a PepMap C18 column (15 cmx75 µm i.d.) and an UltiMate Capillary HPLC System (LC Packings). A linear gradient of 5–40 % (v/v) acetonitrile for 25 min at 200 nl min–1 was used for separation. Tandem mass spectrometric analysis was performed online using a hybrid quadrupole time-of-flight instrument (TOF, QSTAR XL hybrid LC/MS/MS) equipped with a nanoelectrospray source (Applied Biosystems) and operated with the Analyst QS 1.1 data acquisition software.
Information-dependent acquisition was employed, in which each cycle consisted of a full scan from m/z 400 to 1500 (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 guided to the TOF region via two quadrupole filters operated in 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 four-anode microchannel plate detector via an ion mirror held at 990 V. The same parameters were utilized with 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.
Mass spectrometric data were searched against the deduced proteome of H. volcanii DS2 (4208 total ORFs) (http://archaea.ucsc.edu/; 05/26/06 annotation) and GenBank, EMBL and SWISS-PROT databases at the National Center for Biotechnology Information using the Mascot (Matrix Science) search algorithm. Carbamidomethylation of cysteines was allowed as a fixed modification, and variable modifications of methionine oxidation, pyroglutamate, acetylation and phosphorylation of serine, threonine and tyrosine residues were also included in the search parameters. Precursor and fragment ion mass tolerances were set to 0.3 Da. Probability-based Mowse scores above the calculated threshold value (P<0.05) were considered for protein identification. The pI and molecular mass values for deduced proteins were calculated according to Gasteiger et al. (2005)
. The probability that a deduced protein will adopt a coiled-coil conformation was predicted using COILS with weighted and unweighted MTK and MTIKL scoring matrices set to scanning windows of 21 and 28 residues (Lupas, 1996
). Orthologue neighbourhood analysis was performed according to JGI/IMG (http://img.jgi.doe.gov/cgi-bin/pub/main.cgi).
| RESULTS |
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15 %) peptide-hydrolysing activity (Reuter & Maupin-Furlow, 2004
Growth of H. volcanii in the presence of proteasome inhibitor
To facilitate downstream proteomic analysis, the growth of H. volcanii was monitored in the presence of cLβL (0, 20 and 30 µM) supplemented with DMSO (0.5 %) to enhance inhibitor solubility (Fig. 1a
). Cultures devoid of proteasome inhibitor (negative controls) grew the fastest and reached the highest cell yield, with doubling times of 2.1 h and final OD600 values of 3.8. In comparison, cells treated with 20 µM and 30 µM cLβL grew more slowly with doubling times of 3.1, and reached lower cell yields with maximal OD600 values of 2.9 and 2.8, respectively. Thus, addition of the proteasome inhibitor reduced overall cell yield and growth rate. However, increasing the concentration of cLβL from 20 to 30 µM resulted in little change in these growth characteristics. No gross differences in cell morphology were detected in the presence of proteasome inhibitor as determined by phase-contrast microscopy (data not shown).
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Global differences in H. volcanii proteome in the presence of cLβL
Proteins were extracted from H. volcanii cells grown in the presence and absence of cLβL (20 and 30 µM) and were analysed for differences in proteome composition by 2-DE as described in Methods. Based on this analysis, the total number of 2-DE-separated protein spots from cells grown in the presence of proteasome inhibitor was dramatically higher than that from untreated cells (Fig. 2
). Cells grown in the presence of 20 and 30 µM cLβL had respective averages of 1072 and 1000 total spots. In contrast, the average spot number of the uninhibited controls for the 20 and 30 µM cLβL-treated cells was 669 and 584, respectively. Thus, there was a 38–42 % increase in the total number of spots detected when cells were grown in the presence vs absence of cLβL. The respective spot differences were 403±48 and 436±33 for the 20 and 30 µM cLβL-treated vs untreated controls. This contrasts with the modest and inconsistent spot number differences observed between the cLβL-treated groups (72±51) and the uninhibited controls (105±74). These results also contrast with 2-DE proteome maps of H. volcanii aminopeptidase (ORF01128), S2P metalloprotease (ORF00083) and proteasome-activating nucleotidase A (ORF01103) knockout mutants vs their parent strains (Zhou, Kirkland, Gil, Humbard and J. A. M.-F., unpublished results). Using methods similar to those of this study, the 2-DE maps display only a 0.1 % (ORF01128 and 00083) to 7.5 % (ORF01103) difference in total spot number.
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Identification of H. volcanii protein isoforms which increase in the presence of proteasome inhibitor
A total of 24 spots unique and/or increased 2- to 14-fold in cells cultivated in the presence of cLβL were selected, excised and pooled from triplicate 2-DE gels to provide enough protein for in-gel tryptic digestion and MS/MS identification (see Fig. 3
for examples). Criteria for spot selection included (i) reproducible and significant differences between the 2-DE gels of cLβL-treated and non-treated cells, (ii) sufficient protein quantity as determined by SYPRO Ruby fluorescent staining and (iii) adequate separation from neighbouring protein spots by 2-DE. Protein identities for 17 of these spots were determined via HPLC-electrospray ionization (ESI) MS/MS using a QSTAR XL hybrid LC/MS/MS and are listed in Table 1
along with their corresponding probability-based Mascot ion scores, peptide coverage and fold increase in the presence vs absence of proteasome inhibitor. These protein identities are well within the significant range (P<0.05), with Mascot ion scores from 53 to 839 (average of 268) and peptide coverage of 6.9–60.3 %, with an average of 5.5 tryptic peptide fragment ions detected per protein. In two cases, more than one protein was identified per spot (a3 and b2) that cannot be contributed by protein carryover from one sample to another (Table 1
; see Supplementary Figure S1, available with the online version of the paper, for all spot images). Spot a3 appears as a protein chain that is not well separated, yet all of the proteins within that chain appear to increase in the presence of cLβL. The reason for the identification of three proteins within spot b2 is less clear, since this spot appears well separated from surrounding proteins. However, only one protein identified within this spot migrated similarly in molecular mass to that calculated from the deduced polypeptide. The remaining seven protein spots out of the 24 total had overall Mascot ion scores below 53 and were excluded from the list.
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The protein spots that increased in the presence of proteasome inhibitor and were linked to protein sequence by MS/MS fell into three major categories: (i) protein quality control, translation and degradation; (ii) metabolism/transport; and (iii) cell division/conserved proteins of unknown function. Those which fell into the category of protein quality control and translation were the most extensive, with 9 proteins identified by a total of 33 tryptic peptide fragment ions. The majority of proteins in this group were homologues of the 30S and 50S ribosomal subunits (S3Ae, S17, S13, S4 and L7). In addition, members of the DJ-1/ThiJ/PfpI, sulfur mobilization system (SUF) iron–sulfur (Fe–S) cluster (ISC) assembly and EF-1 A families were found. The second category of spots identified were 4 proteins known and/or proposed to be involved in metabolism and transport, and were identified via a total of 22 peptide fragment ions with the highest Mascot score average of 437. The group included orthologues of the divalent metal-binding lipoproteins of ABC-type transporters, 2-oxoacid decarboxylase E1β (EC 1 . 2 . 4 . –), dihydroxyacetone kinase (EC 2 . 7 . 1 . 29) and aldehyde dehydrogenase (ALDH) (EC 1 . 2 . 1 . –). The final category included a homologue of the cell division protein FtsZ and two conserved proteins, ORF02998 and ORF01703, which respectively cluster to COG1077 and COG1340. Although these latter two COGs encompass proteins of unknown function, ORF02998 and ORF01703 have low (20 %) identity to actin-like (e.g. Magnetospirillum magneticum amb0965) and structural maintenance of chromosomes (SMC)-like proteins (e.g. Haloarcula marismortui rrnAC1639), respectively. In further support of the potential role of the coiled-coil ORF01703 protein in cell division, some of its orthologues appear to be cotranscribed with ftsZ-like genes, based on neighbourhood analysis of archaeal genomes.
| DISCUSSION |
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Elongation factor 1 A
EF-1 A is a major translational factor, which catalyses the first step of the elongation cycle. In eukaryotes, EF-1 A binds proteasomes (e.g. the Rpt1 subunit) (Verma et al., 2000
; Coux, 2003
) and ubiquitinated proteins after ATP depletion (Chuang et al., 2005
), and is essential for ubiquitin-proteasome dependent degradation of N
-acetylated proteins (Gonen et al., 1994
). EF-1 A also has isopeptidase (Gonen et al., 1996
) and chaperone activities (Caldas et al., 2000
), and binds polypeptides unable to fold after their release from the ribosome (Hotokezaka et al., 2002
). Based on these multifunctional properties of EF-1 A, a number of biological factors may be responsible for the increased levels of the EF-1 A protein spot in cLβL-treated H. volcanii cells. In eukaryotes, changes in EF-1 A abundance and post-translational modification are correlated with growth rate, cell proliferation and differentiation, and intracellular pH (Krieg et al., 1989
; Grant et al., 1992
; Zobel-Thropp et al., 2000
; Ransom-Hodgkins et al., 2000
; Lopez-Valenzuela et al., 2003
). In archaea, the intensities of EF-1 A 2-DE spots are altered by heat shock (Shukla, 2006
), cold adaptation (Goodchild et al., 2004
) and energy source (Dopson et al., 2005
). In addition, multiple archaeal EF-1 A isoforms have been detected (Giometti et al., 2002
), and post-translational modification sites are predicted based on similarity to known eukaryal sites (Whiteheart et al., 1989
; Wang & Poovaiah, 1999
; Lopez-Valenzuela et al., 2003
).
DJ-1/ThiJ/PfpI superfamily
The DJ-1/ThiJ/PfpI superfamily (Bandyopadhyay & Cookson, 2004
) protein, which accumulated as a 2-DE spot in the presence of cLβL, has the conserved Cys, His and Asp residues proposed to function as a catalytic triad in peptide-bond hydrolysis (Malki et al., 2005
). Members of this peptide-hydrolysing clan are often induced by stressful conditions, such as heat shock (Sastry et al., 2002
) and peptide starvation (Snowden et al., 1992
), and may hydrolyse short peptides generated by energy-dependent proteases such as proteasomes (Maupin-Furlow et al., 2006
). The Escherichia coli Hsp31 member of this superfamily interacts with EF-1 A and ClpA (Malki et al., 2005
), a ClpP-associated AAA+ ATPase related to the proteasome-activating nucleotidases (PANs) of archaea.
Cell division
FtsZ, actin and SMC are important in the division of prokaryotic cells. FtsZ forms a cytokinetic ring early in cell division (Margolin, 2005
), actin-like proteins (e.g. MreB) are partners with RNA polymerase in providing the force needed for chromosome segregation (Kruse et al., 2006
), and coiled-coil SMC proteins are key subunits of complexes that perform essential tasks in chromosome dynamics (Nasmyth & Haering, 2005
). In bacteria, the levels and/or activities of many of these cell division proteins are controlled by proteolysis. In E. coli, the FtsZ inhibitor SulA is targeted for regulated proteolysis by HslVU (Kanemori et al., 1999
) and Lon proteases (Mizusawa & Gottesman, 1983
). In Streptomyces coelicolor, the half-life of FtsZ is controlled (Del Sol et al., 2006
), and in Bacillus subtilis, an SMC protein is degraded by Lon and Clp proteases as cells enter stationary phase (Mascarenhas et al., 2005
). In addition, the AAA+ ATPase ClpX associates with and inhibits FtsZ assembly in E. coli (Flynn et al., 2003
) and B. subtilis (Weart et al., 2005
), respectively. In archaea, it is not clear whether the proteasome and/or proteolysis control events in cell division. However, the cLβL-dependent accumulation of FtsZ-, actin- and SMC-like protein spots correlates well with the reduced growth rate of H. volcanii cells under these conditions.
2-Oxoacid dehydrogenase (OADH) (EC 1 . 2 . 4 . –)
All archaea use ferredoxin oxidoreductases to oxidize 2-oxoacids to their CoA derivatives. This has led to the question whether archaea synthesize and/or need functional OADH complexes of E1
β, E2, and E3 (Jolley et al., 2000
). Although E1 and E3 enzyme activities have been detected (Danson et al., 1984
; Heath et al., 2004
), a functional OADH has yet to be demonstrated in archaea. The E1β-like protein spot that increased in the presence of cLβL is encoded within a four-gene operon with coding capacity for the E1
, E1β, E2 and E3 components of an OADH (Jolley et al., 2000
), and is separate from the genomic region coding only for an E1
β required for nitrate-respirative growth (Wanner & Soppa, 2002
). This, combined with the finding that an E1
-type OADH protein of F. acidarmanus Fer1 increases several-fold during chemo-organotrophic vs chemomixotrophic growth (Dopson et al., 2005
), suggests that archaea may modulate the E1
β 2-oxoacid decarboxylase component of OADH complexes as nutrients shift and/or become limiting. Whether proteasomes are involved in this process remains to be determined.
Dihydroxyacetone kinase (EC 2 . 7 . 1 . 29)
Dihydroxyacetone kinases phosphorylate dihydroxyacetone (DHA), D-glyceraldehyde or other short-chain ketoses and aldoses (Erni et al., 2006
). The source of the high-energy phosphate is either ATP or a phosphoprotein of the phosphoenolpyruvate : sugar phosphotransferase system (PTS). The E. coli DHA kinase is composed of the three subunits DhaL, DhaK and DhaM (Erni et al., 2006
), the latter of which is phosphorylated by the PTS. This phosphoryl group is displaced from DhaM by a tightly bound ADP coenzyme of DhaL and transferred to the substrate, which is covalently bound to DhaK. Besides catalysis, DhaL and DhaK serve antagonistic roles in binding the sensing domain of an AAA+ ATPase transcriptional regulator, DhaR (Bachler et al., 2005
). Whether a DHA kinase- and PTS-related global regulatory system functions in H. volcanii and is controlled by proteasomes is unknown. However, the DhaL-like protein spot which accumulated in cLβL-treated H. volcanii cells is encoded within a region of the genome with coding capacity for DhaK and the PTS EIIA- and HPr-type domains of DhaM.
Aldehyde dehydrogenase (ALDH) (EC 1 . 2 . 1 . –)
The ALDH-like protein (pfam00171; E value 7x10–100) that accumulated as a 2-DE spot in the presence of cLβL includes conserved catalytic and NAD(P)-binding residues. Thus, it is likely to function in the oxidation of aldehydes to their corresponding carboxylic acids and, ultimately, detoxify a wide variety of reactive organic compounds. Interestingly, the levels of a highly related ALDH isoform (GI no. 10581906; E value 6x10–147) are reduced when Halobacterium salinarum cells are cultured in high vs optimal salt conditions (6 vs 4.3 M NaCl) (Kim et al., 2006a
), suggesting that the levels of these types of proteins are modulated.
ISC assembly
Unlike most archaea (Lill & Muhlenhoff, 2005
), haloarchaea such as H. volcanii have the coding capacity for both ISC/Nif- and SUF-like ISC assembly systems. This is analogous to E. coli, in which the ISC system plays a housekeeping role and SUF is required during iron starvation (Outten et al., 2004
) and is induced after oxidative stress (Lee et al., 2004
). The reason for the increased abundance of the SufB and SufC protein homologues in cLβL-treated H. volcanii cells remains to be determined; however, both proteins are encoded in an apparent operon and are thus likely to be co-ordinately regulated. It is possible that inhibition of proteasome activity increased the levels of oxidatively damaged and/or improperly folded proteins and triggered an overall increase in the SUF system to facilitate ISC assembly under these conditions.
Divalent metal transport
The ORF02598 protein that accumulated as a 2-DE spot in the presence of cLβL is related to cluster 9 lipoproteins. These proteins are proposed to regulate the high-affinity uptake of divalent metals by ABC transporters for repair of metalloenzymes, resistance to oxidative stress and/or maintenance of intracellular redox homeostasis (Claverys, 2001
; Johnston et al., 2004
; Hantke, 2005
). Interestingly, heat shock of Halobacterium NRC-1 results in the elevation of a 2-DE protein spot related to an ABC transporter lipoprotein which functions in the import of nutrients and/or release of toxic products (Shukla, 2006
). Thus, the accumulation of unfolded and damaged proteins after cellular stresses such as proteasomal inhibition or heat shock may be a general signal that modulates the levels (or isoform status) of various ABC transporter-associated lipoproteins in the halophilic archaea.
Conclusions
A number of protein spots, which represent a variety of cellular functions, differentially accumulated in H. volcanii cells treated with the 20S proteasomal inhibitor cLβL. The general classes of proteins identified through the proteomic analysis of chemically inhibited cells provide insight into specific cellular functions that may be regulated by archaeal proteasomes. Many of the proteins identified represent key components of processes vital to cell function, thereby making them prime candidates for theoretical proteasomal control points. To further understand the role proteasomes play in these changes observed, future studies are aimed at determining the influence cLβL has on transcript levels, protein half-life and/or covalent modification of the protein spots identified to increase in the presence of proteasome inhibitor.
| ACKNOWLEDGEMENTS |
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Edited by: J. van der Oost
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Received 4 January 2007;
revised 14 March 2007;
accepted 16 March 2007.
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