Quantitative proteomics of nutrient limitation in the hydrogenotrophic methanogen Methanococcus maripaludis
© Xia et al; licensee BioMed Central Ltd. 2009
Received: 13 February 2009
Accepted: 23 July 2009
Published: 23 July 2009
Methanogenic Archaea play key metabolic roles in anaerobic ecosystems, where they use H2 and other substrates to produce methane. Methanococcus maripaludis is a model for studies of the global response to nutrient limitations.
We used high-coverage quantitative proteomics to determine the response of M. maripaludis to growth-limiting levels of H2, nitrogen, and phosphate. Six to ten percent of the proteome changed significantly with each nutrient limitation. H2 limitation increased the abundance of a wide variety of proteins involved in methanogenesis. However, one protein involved in methanogenesis decreased: a low-affinity [Fe] hydrogenase, which may dominate over a higher-affinity mechanism when H2 is abundant. Nitrogen limitation increased known nitrogen assimilation proteins. In addition, the increased abundance of molybdate transport proteins suggested they function for nitrogen fixation. An apparent regulon governed by the euryarchaeal nitrogen regulator NrpR is discussed. Phosphate limitation increased the abundance of three different sets of proteins, suggesting that all three function in phosphate transport.
The global proteomic response of M. maripaludis to each nutrient limitation suggests a wider response than previously appreciated. The results give new insight into the function of several proteins, as well as providing information that should contribute to the formulation of a regulatory network model.
Methanogenic Archaea (methanogens) occupy a distinct position in phylogeny, ecology, and physiology. Occupying much of the phylum Euryarchaeota, and widespread in anaerobic environments, these organisms produce methane as the product of energy-generating metabolism . Hydrogenotrophic methanogens specialize in the use of H2 as electron donor to reduce CO2 to methane. The pathways of methanogenesis are well characterized and the proteins that catalyze steps in the pathways are known.
We are engaged in a long-term effort to understand regulatory networks in hydrogenotrophic methanogens. Our studies focus on Methanococcus maripaludis, a model species with tractable laboratory growth characteristics and facile genetic tools. Previous studies in M. maripaludis have begun to reveal both mechanisms of regulation and global patterns of gene expression. Many of these studies have concentrated on the effects of certain nutrient limitations. For example, at the mechanistic level, transcription of genes encoding nitrogen assimilation functions is governed by a repressor, NrpR, which is found in many Euryarchaeota as well as certain Bacteria and mediates the organism's response to nitrogen limitation [2–4]. However, a global assessment of the response to nitrogen limitation has not previously been conducted in hydrogenotrophic methanogens. At the global level, our previous studies have addressed the effects on the transcriptome of H2-limitation, phosphate-limitation, and leucine-limitation [5, 6]. The effects of these nutrient limitations at the proteome level have not previously been studied. We have also determined the effects on the transcriptome and proteome of a mutation in a hydrogenase gene [7, 8].
Here we focus on the effects of certain nutrient limitations on the proteome of M. maripaludis. We report on the effect of limiting H2, the electron donor of hydrogenotrophic methanogenesis, and of limiting basic nutrients of biosynthesis: nitrogen and phosphate. Key aspects of our approach include the use of continuous culture for maintaining defined nutrient conditions , and exhaustive sampling of the proteome to obtain statistically reliable quantitative information (Xia Q, Wang T, Hendrickson EL, Leigh JA, Hackett M, manuscript in preparation).
Results and discussion
We used chemostats to grow M. maripaludis under three different nutrient limitations (nutrient-controlled growth) . Thus, growth was limited by the supply of H2, ammonia, or phosphate to grow cultures that were H2-limited, nitrogen-limited, or phosphate-limited, respectively. The dilution rate (and hence growth rate) was held constant, and the limiting nutrient was provided at a level that limited cell density to a similar value in each case. As before [5, 6], this approach allowed us to obtain a rigorous assessment of the effect of each nutrient limitation without complications arising from variations in growth rate or cell density.
Selected proteins with altered abundance under H2 limitation.
Average log2 ratioa
FrcA, coenzyme F420-reducing hydrogenase
1.30 ± 0.56
FruA, coenzyme F420-reducing hydrogenase
0.77 ± 0.16
FruG, coenzyme F420-reducing hydrogenase
FruB, coenzyme F420-reducing hydrogenase
EhaM, energy-conserving hydrogenase A
0.56 ± 0.08
EhaP, energy-conserving hydrogenase A polyferredoxin subunit
0.64 ± 0.27
Mer, methylenetetrahydromethanopterin reductase
FwdF, formylmethanofuran dehydrogenase
FwdD, formylmethanofuran dehydrogenase
FwdA, formylmethanofuran dehydrogenase
FwdC, formylmethanofuran dehydrogenase
0.28 ± 0.07
HdrA, heterodisulfide reductase
0.35 ± 0.18
VhuD, F420 non-reducing hydrogenase
0.35 ± 0.11
VhuG, F420 non-reducing hydrogenase
VhuA, F420 non-reducing hydrogenase
Mtd, F420-dependent methylenetetrahydromethanopterin dehydrogenase
0.35 ± 0.10 (0.89)b
HdrC2, heterodisulfide reductase
HdrB2, heterodisulfide reductase
0.33 ± 0.11
0.27 ± 0.16
Hmd, H2-dependent methylenetetrahydromethanopterin dehydrogenase
Putative iron transporter subunit
GlnA, glutamine synthetase
Selected proteins with altered abundance under nitrogen limitation.
Average log2 ratioa
NifH, nitrogenase reductase
2.29 ± 0.16
1.68 ± 0.57
2.10 ± 0.23
2.45 ± 0.15
2.03 ± 0.22 (7.09)b
1.85 ± 0.42
1.65 ± 0.30
3.13 ± 0.60
1.05 ± 0.40
Ammonia transport and regulation
2.81 ± 0.31
0.45 ± 0.41
1.59 ± 0.48
GlnA, glutamine synthetase
ModA, molybdate binding protein
2.11 ± 0.47
ModA, molybdate binding protein
2.24 ± 0.50
ModD, molybdate transporter subunit
0.73 ± 0.23
The abundance of 141 proteins (8% of the 1722 annotated ORFs) was significantly affected by H2-limitation; 59 had increased abundance and 82 decreased. H/N and H/P ratios and their averages are shown in Additional file 2. The functional category of proteins that most frequently increased was methanogenesis (Table 1). In a previous study at the transcriptome level , only a subset of the mRNAs encoding the proteins of methanogenesis was seen to increase significantly; these included the F420-reducing hydrogenase (fru), methylenetetrahydromethanopterin reductase (mer), and methylenetetrahydromethanopterin dehydrogenase (mtd), all encoding enzymes that reduce or oxidize coenzyme F420. In contrast, in the current study of the proteome, many enzymes in methanogenesis that do not metabolize F420 increased as well. Another difference between the results of the previous transcriptome study and the current proteomics study was in the magnitude of the increase for the F420-metabolizing enzymes; whereas these mRNAs were previously seen to increase markedly (4–22 fold), the magnitude of change in protein abundance in the current study was at most 2.5-fold. The lower magnitude of change in the current study held at the mRNA level, since qRT-PCR of mtd revealed an average log2 ratio of only 0.89 (1.9-fold), compared to 4.3 (19.7-fold) in the previous study.
There are several possible reasons why the current study reflects more widespread but less marked changes than the earlier study of the transcriptome. First, our measurement of abundance changes and the significance of those changes have different limitations for the transcriptome and the proteome. Much of the proteome was very heavily sampled in this study, so statistically significant differences are more easily discerned as discussed above. Second, even if the transcriptome study were statistically robust, effects on protein abundance could occur at a post-mRNA level. It should be noted that these first two explanations may apply to the non-F420-metabolizing enzymes, but for the F420-metabolizing enzymes it is insufficient, based on our qRT-PCR measurements of mtd. Third, a caveat to the comparison of the two studies is that growth conditions were different, since the previous study was conducted with a richer medium and at a higher growth rate than the current study. Finally, it should be noted that the strain used in the current study differs from the strain used previously. Mm900, the strain used in the current study, contains a deletion of the hpt gene encoding hypoxanthine phosphoribosyltransferase , while S52, the strain used in the previous study, is a leucine auxotroph containing a deletion of the leuA gene . While the known differences lie outside of hydrogen metabolism or methanogenesis, it is conceivable that there were unknown consequences for methanogenesis. In any case, the results of the current study show that effects of H2-limitation occur widely for proteins of methanogenesis. The overall increase in methanogenic proteins with H2 limitation likely reflects a regulatory response that maintains flux through the methanogenic pathway when the electron donating substrate is limiting.
One protein decreased strikingly with H2-limitation, the H2-dependent methylenetetrahydromethanopterin dehydrogenase, Hmd (Table 1). The previous study of the transcriptome  indicated an increase in hmd mRNA with faster growth, but no change with H2-limitation. The discrepancy could be explained by any of the factors discussed above. In any case, the results indicate that Hmd has a decreased role under H2-limitation. In hydrogenotrophic methanogens, Hmd catalyses the reduction of methenyltetrahydromethanopterin to methylenetetrahydromethanopterin, using H2 directly as electron donor. As such, Hmd provides an alternative to F420-reducing hydrogenase (Fru or Frc in M. maripaludis) and F420-dependent methylenetetrahydromethanopterin dehydrogenase (Mtd) working together: Fru or Frc reduces F420 using H2, and Mtd reduces methenyltetrahydromethanopterin to methylenetetrahydromethanopterin using reduced F420. Hmd is an unusual [Fe] hydrogenase that has a lower affinity for H2 than the F420-reducing hydrogenases [12, 13], and could be preferred when H2 is in excess, while Fru or Frc with Mtd could be preferred when H2 is limiting. Other proteins that decreased were a hypothetical protein (encoded in a putative operon with Hmd), a putative iron transporter subunit, glutamine synthetase, and an S-layer protein (MMP0875). An additional S-layer protein (MMP0383) was not significantly affected by any nutrient limitation.
The abundance of 106 proteins was significantly affected by nitrogen limitation; 79 had increased abundance and 27 decreased. N/H and N/P ratios and their averages are shown in Additional file 3. Of the 79 proteins with increased abundance, 13 have known functions in nitrogen assimilation (Table 2). These are the nitrogen fixation (Nif) proteins, glutamine synthetase (GlnA) which assimilates ammonia, ammonia transporters (Amt), and nitrogen sensor/regulators (GlnK).
Since the Nif proteins showed a consistent and relatively marked increase in abundance, the mRNA encoding one (nifK) was selected for qRT-PCR to determine whether the effect occurred with similar magnitude at the transcriptome level. The magnitude was much greater, with an average log2 ratio of 7.09 (136-fold) for the mRNA compared to 2.03 (4.1-fold) for the protein. Previous measurements of nif transcription using lacZ fusions also showed a greater magnitude of regulation (5–100 fold, [14, 15]). The results suggest that for proteins that are present at high levels under derepressed conditions, the proteomic ratios may be compressed as noted above. In nitrogen-fixing organisms in general, Nif proteins are present at high levels under nitrogen-fixing conditions when fixed nitrogen species are not available or are present at limiting amounts, but are absent when available fixed nitrogen is in excess.
Other proteins were not previously predicted to function in nitrogen assimilation, yet increased in abundance with nitrogen limitation (Table 2). Three such proteins were predicted subunits of three molybdate transporters, and their response to nitrogen limitation suggests that they function to transport molybdate for conversion into the iron-molybdenum cofactor (FeMoCo) of nitrogenase. A protein belonging to the NifB-NifX family of FeMoCo synthesis proteins also increased.
Surprisingly, several proteins that play central roles in carbon assimilation also increased: subunits of pyruvate oxidoreductase and oxoisovalerate oxidoreductase, as well as acetyl-CoA synthetase (AMP-forming). In hydrogenotrophic methanogens, pyruvate oxidoreductase and oxoisovalerate oxidoreductase each reductively assimilates CO2. In addition, ATPase increased moderately (Additional file 3). Proteins that decreased with nitrogen limitation included flagellins, chemotaxis proteins, certain proteins of methanogenesis, and HmdII, a homolog of the H2-dependent methylenetetrahydromethanopterin dehydrogenase Hmd. HmdII is not known to have the catalytic activity of Hmd and its function is unknown.
A known transcriptional nitrogen regulator, NrpR, binds to operators with consensus sequence GGAAN6TTCC [3, 4]. The intergenic regions in M. maripaludis that contain this sequence are upstream of the following genes: the nif operon, the glnK-amtB operon, glnA, two of the three molybdate transporter operons (MMP0205–0207 and MMP0504–0507), and a gene encoding a Na+-alanine symporter (MMP1511). (The Na+-alanine symporter may function in nitrogen assimilation since alanine is a nitrogen source for M. maripaludis, .) Data presented above suggest for all of these genes except the Na+-alanine symporter that nitrogen regulation indeed occurs. Furthermore, NrpR-dependent regulation of nif and glnA has been documented previously [3, 4, 16]. Since the proteomics data for the Na+-alanine symporter was inconclusive, we tested for nitrogen regulation by growing batch cultures on the preferred, intermediate, and non-preferred nitrogen sources ammonia, L-alanine, and N2, using a promoter-lacZ fusion. β-galactosidase activities were 1060, 2147, and 3122 (standard deviations 21, 193, and 178) respectively, indicating that the gene for the Na+-alanine symporter is also regulated by nitrogen. Hence, the following genes are likely regulated directly by NrpR: nif and glnA as documented previously, the glnK-amtB operon, the two molybdate transporter operons MMP0205–0207 and MMP0504–0507, and the Na+-alanine symporter gene. The remaining proteins affected by nitrogen limitation, including the NifB-NifX homolog and the third molybdate transporter MMP0514–0516, may respond indirectly to NrpR or may be influenced by different mechanisms.
Selected proteins with altered abundance under phosphate limitation.
Average log2 ratioa
Phosphate binding protein
2.15 ± 0.30
Phosphate transporter subunit
2.12 ± 0.47
ATP binding protein
2.16 ± 0.18
1.16 ± 0.29
1.26 ± 0.16
1.16 ± 0.32
Proteins affected by multiple factors
Selected proteins with abundance affected by more than one nutrient limitation.
Average log2 ratiosa
Putative iron transporter subunit
putative nickel transporter
putative nickel transporter
ComA, coenzyme M biosynthesis
acetylCoA synthase, AMP-forming
FlaB1, flagellin precursor
From this study we have gained new insights into the response of M. maripaludis to nutrient limitations. H2 limitation affected the proteins of methanogenesis more widely than we had previously appreciated. Many proteins of methanogenesis increased in abundance, in an apparent regulatory response to maintain flux through the methanogenic pathway when H2 is limiting. In contrast, the H2-dependent methylenetetrahydromethanopterin dehydrogenase (Hmd) decreased. Under H2-limitation the function of Hmd may be replaced with the F420-dependent methylenetetrahydromethanopterin dehydrogenase (Mtd) together with F420-reducing hydrogenase (Frc or Fru).
Many proteins that increased with nitrogen limitation have known functions in nitrogen assimilation and have similarly regulated counterparts in Bacteria and other Archaea [19, 20]. Other proteins that increased apparently function in nitrogenase FeMoCo synthesis or to import molybdate for FeMoCo, or to import alanine when used as a nitrogen source. The results help to identify the regulon that is directly regulated by the nitrogen repressor NrpR.
The response to phosphate limitation supports the hypothesis that M. maripaludis has three alternative phosphate transporters, all of which increased under phosphate limitation.
Methanococcus maripaludis strain Mm900  was grown in chemostats as described , with the following modifications. Amino acid stocks were omitted from the medium, resulting in a defined medium that contained acetate, vitamins, and cysteine as the sole organic constituents. NH4Cl was added to the medium after autoclaving from a sterile anaerobic stock. Ar replaced N2 in the gas mixture. For growth of nitrogen-limited cultures, NH4 + was decreased to 3 mM in the medium that was pumped into the chemostats, and for growth of phosphate-limited cultures, PO4 2- was decreased to 0.15 mM (for sample 31) or 0.13 mM (for sample 82). For growth of H2-limited cultures, H2 was decreased to 20 ml/min and the difference made up with Ar. The dilution rate in every case was 0.083 h-1, and the OD660 at harvesting was between 0.62 and 0.71. Two cultures were obtained for each nutrient limitation, one grown with 14NH4 + (natural abundance) and the other with 15NH4 + supplied as 15NH4Cl. Sample collection from the chemostats for proteomics was as described .
Proteomic analyses were conducted as described , with the primary exception that a Thermo LTQ linear ion trap mass spectrometer (Thermo-Fisher, San Jose, CA) has since replaced the LCQ Classic mass spectrometer for all work reported here. Details of the proteome extraction, trypsin digestion, solution volumes, off-line HPLC fractionation and 2-D capillary HPLC/tandem mass spectrometry, AKA MudPIT , Sequest database searching , DTASelect 1.9 in silico mapping of peptides to M. maripaludis protein-encoding ORFs , software and database release dates and versions were as described. Briefly, protein was extracted from each of the six cultures depicted in Figure 1. The six protein extracts were digested with trypsin and then combined pair wise as shown in Figure 1, such that equal amounts of heavy (15N) and light (14N) total protein were used for each condition being compared, as determined by Bradford assay [24, 25]. Each of the six combined heavy/light proteolysates shown in Figure 1 were pre-fractionated and analyzed twice by 2-D capillary HPLC/tandem mass spectrometry. The data from the two technical replicates were pooled, yielding a single dataset for each heavy/light mixture. These mass spectrometry datasets (see Additional data files) were labeled in the Hackett Lab archive as AH30-31-104 (14N phosphate, 15N ammonia), AH30-31-49 (14N phosphate, 15N hydrogen), AH30-49-98 (15N hydrogen, 14N ammonia), AH30-54-104 (14N hydrogen, 15N ammonia) AH30-82-54 (15N phosphate, 14N hydrogen) and AH30-82-98 (15N phosphate, 14N ammonia). To ensure that equimolar amounts of total protein were being compared, the Bradford assay results were confirmed by inspecting the calculated abundance ratio frequency distribution histograms for zero centering (log2 scale) and making slight adjustments in the ratios where necessary . In no case did the normalization of the ratios exceed a 5% change in the total signal observed in either channel (14N or 15N). Raw data from the six heavy/light mixtures (Figure 1) were processed as described previously, except as noted below, to yield abundance ratios reported in Additional file 1. Figure 2 illustrates the use of the abundance ratios derived from the six unique mixtures (Figure 1) of isotopic flips to calculate the total of 12 two-condition comparisons with four abundance ratios for each of the three limiting nutrient conditions, as reported in Additional files 2, 3, 4 for proteins showing significant abundance change. Statistical analysis differed from that reported previously  in that a q-value [26, 27] cut-off of 0.01 was used for all significance testing for abundance change between paired conditions, rather than p-values. The q-value is based on the concept of FDR (false discovery rate) and contains an explicit correction for multiple hypothesis testing that is lacking in an uncorrected p-value calculation . At the level of qualitative peptide identifications, the estimated FDRs for the work reported here were ~3%, based on matches with reversed protein sequences in the decoy portion of the database [28, 29]. Along with a minimum requirement of three unique peptide sequences required for each identification, this estimate suggests a low number of false positive protein level identifications. The composition, release dates, and other details of the FASTA database were the same as those reported previously , with the exception that the database has been approximately doubled in size to 40 Mbytes by addition of reversed sequences to the forward protein sequences for M. maripaludis (Genbank™ Accession BX950229) and addition of about 25% of the human subset of the nrdb . For purposes of validating protein derived abundance ratios, qRT-PCR was conducted as described .
The promoter of the Na+-alanine symporter (MMP1511) gene was PCR-amplified from M. maripaludis S2  genomic DNA using primers 5'AAACTAGTAATCAAGTATTTAAATCCGTTAC3' (forward) and 5' ACCATGCATCCACTCCAAATTTTTTTGG (reverse). Herculase® (Stratagene) was used and conditions were 94°C for 2 min; 30 cycles of 94°C for 30 sec, 51°C for 30 sec, and 68°C for 30 sec; and a final extension of 68°C for 10 min. Product was digested with SpeI and NsiI and cloned into pWLG40+lacZ to yield pWLG40agcsB2-1. Plasmid DNA was transformed  into Mm900 to give Mm1086. Growth of Mm1086 and β-galactosidase assay were as described . Measurements were taken from triplicate cultures.
false discovery rate
F420-reducing hydrogenase (selenocysteine-containing)
H2-dependent methylenetetrahydromethanopterin dehydrogenase
high performance liquid chromatography
methylenetetrahydromethanopterin dehydrogenase (F420-dependent)
nitrogen regulatory protein
quantitative real-time reverse transcription-PCR.
We thank Andrew Haydock for operation and maintenance of the chemostats, Brian Moore for qRT-PCR analyses, and Fred Taub for computer and bioinformatics support. This work was supported by the U.S. Department of Energy Office of Basic Energy Sciences, Basic Research for the Hydrogen Fuel Initiative, Grant No. DE-FG02-05ER15709; the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-08ER64685; and the National Institute of General Medical Sciences, Grant Nos. R24 GM074783 and R01 GM55255.
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