Note: While we will prioritize shipping the format currently in stock, please specify any format requirements in your order notes for customized fulfillment.
Note: Our proteins are shipped with standard blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
The specific tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its implementation.
KEGG: mmp:MMP1583
STRING: 267377.MMP1583
Methanococcus maripaludis is a well-characterized mesophilic and hydrogenotrophic methanogen commonly found in tidal marshes. It has substantial significance in genetic engineering studies due to its robust genetic system, rapid growth in mineral medium, and specific requirement for marine salt levels for optimal growth. This organism competes with sulfate and iron-reducing bacteria for hydrogen gas (H₂) and formate, which serve as its primary energy sources . The genus has become an important model system in methanogen research due to the extensive genetic tools developed for its manipulation, making it valuable for both fundamental methanogen biology and biotechnological applications.
S-adenosylmethionine decarboxylase (AdoMetDC) is a critical enzyme in the polyamine biosynthetic pathway that catalyzes the conversion of S-adenosylmethionine (AdoMet) to decarboxylated AdoMet . This enzyme is noteworthy because it undergoes an unusual post-translational modification known as internal serinolysis, which generates the essential pyruvoyl group at the active site required for the decarboxylation process. The speH gene encodes the proenzyme form of AdoMetDC in Methanococcus maripaludis. This proenzyme must undergo autocatalytic cleavage to produce the active enzyme comprising α and β subunits with the catalytic pyruvoyl group at the N-terminus of the α subunit . The enzyme is particularly significant in research settings because of its importance in cell growth regulation and its potential as a target for anti-cancer and anti-parasitic therapeutic development.
M. maripaludis AdoMetDC shares structural similarities with AdoMetDC from other organisms but also exhibits distinctive characteristics. Based on comparative structural biology studies, AdoMetDC structures have been determined from various organisms including Homo sapiens, Solanum tuberosum, Thermotoga maritima, and Aquifex aeolicus . While the core catalytic mechanisms involving the pyruvoyl group are conserved, there are significant differences in substrate binding and specificity determinants.
In human AdoMetDC, the substrate specificity arises from cation-π interactions between the sulfonium ion of the substrate and aromatic rings from residues Phe223 and Phe7, providing stabilization of approximately 4.5 kcal/mol . The human enzyme binds ligands in a higher energy conformation with π-π stacking between the adenine ring and aromatic residues, hydrogen bonds between the adenine base and Glu67, and electrostatic interaction between the sulfonium ion and the adenine ring's N3 atom .
The archaeal AdoMetDC from M. maripaludis shows adaptations reflecting its evolutionary lineage and the different environmental conditions it faces compared to eukaryotic counterparts, though the specific structural details from M. maripaludis are not fully elucidated in the search results provided.
For effective recombinant expression of M. maripaludis speH, researchers should consider the following genetic tools and techniques based on established methodologies:
Gene Amplification and Cloning Strategy:
Extract genomic DNA from M. maripaludis cultures using standardized extraction kits (similar to the Qiagen Blood and Tissue Kit method used for Sphingomonas)
Design primers that specifically amplify the speH gene with appropriate restriction sites for subsequent cloning
Utilize high-fidelity DNA polymerases (such as Phusion) for PCR amplification
Implement PCR programs with optimized conditions: initial denaturation at 98°C, followed by 30-35 cycles of denaturation, annealing at a temperature appropriate for the primers, and extension at 72°C
Expression Vector and Host Selection:
Select appropriate expression vectors such as pRSFduet or similar vectors that have been demonstrated effective for methanogen genes
Process PCR products through double digestion with restriction enzymes compatible with the designed primers and vector
Choose appropriate E. coli expression strains, such as T7 Express Competent cells, that have proven successful for expressing archaeal proteins
Expression Optimization:
Test various induction conditions, including IPTG concentration, temperature, and duration
Consider codon optimization if expression levels are suboptimal
Incorporate tags that facilitate purification while minimizing interference with protein folding and function
These recommendations are adapted from similar successful recombinant protein expression methodologies for other enzymes and tailored to the specific characteristics of M. maripaludis proteins.
Syntrophic growth significantly alters the expression profile of M. maripaludis, including potential effects on S-adenosylmethionine decarboxylase activity. Based on comparative studies of M. maripaludis grown syntrophically with Desulfovibrio vulgaris versus monocultures under hydrogen limitation, several patterns emerge:
Transcriptional reprogramming: Syntrophically grown M. maripaludis exhibits decreased transcript abundance for energy-consuming biosynthetic functions while increasing transcript abundance for genes involved in energy-generating central pathways for methanogenesis . This metabolic shift likely affects AdoMetDC expression, as polyamine biosynthesis is energetically costly.
Differential regulation of paralogous genes: When grown syntrophically, paralogous genes in M. maripaludis often show divergent responses, with one variant increasing in relative abundance while others remain unchanged or decrease . If speH has paralogs in M. maripaludis, they might be differentially regulated under syntrophic conditions.
Shift in redox enzyme preference: Syntrophic growth appears to favor pathways that use H₂ directly as a reductant rather than those using reduced deazaflavin (coenzyme F₄₂₀) . This could influence the redox environment for AdoMetDC function.
Potential metabolite cross-feeding: The discovery of interspecies alanine transfer in syntrophic cultures suggests complex metabolic interactions that may indirectly affect polyamine biosynthesis pathways where AdoMetDC functions.
A comparative data table of typical expression changes observed during syntrophic growth that might affect AdoMetDC:
| Cellular Function | Change in Monoculture (H₂-limited) | Change in Syntrophic Culture |
|---|---|---|
| Biosynthetic pathways | Baseline expression | Decreased transcript abundance |
| Energy-generating pathways | Baseline expression | Increased transcript abundance |
| H₂-utilizing enzymes | Baseline expression | Preferentially upregulated |
| F₄₂₀-dependent enzymes | Baseline expression | Relatively downregulated |
| Interspecies metabolite exchange | Not applicable | New metabolic interactions (e.g., alanine transfer) |
These alterations in cellular metabolism during syntrophic growth would likely affect AdoMetDC expression and activity, potentially as part of a broader cellular strategy to adapt to near-thermodynamic-threshold growth conditions .
The post-translational processing of AdoMetDC proenzyme in M. maripaludis involves an autocatalytic internal serinolysis reaction that generates the essential pyruvoyl group at the active site. While the specific details for M. maripaludis are not fully described in the provided search results, we can extrapolate from known mechanisms in other organisms:
General AdoMetDC Processing Mechanism:
The proenzyme undergoes a non-hydrolytic serinolysis reaction
This results in cleavage of the peptide backbone between the serine (that becomes the pyruvoyl group) and the preceding residue
The serine is converted to a pyruvoyl group through dehydration
The process generates α and β subunits with the catalytic pyruvoyl group at the N-terminus of the α subunit
Comparison of Processing Mechanisms:
| Aspect | Human AdoMetDC | Predicted M. maripaludis AdoMetDC |
|---|---|---|
| Catalytic residues | Ser68 (becomes pyruvoyl), His243, Cys82, Glu247 | Likely conserved serine, but archaeal-specific residue context |
| Processing rate | Enhanced by putrescine | May have archaeal-specific regulators |
| Structural elements | Critical fold with α/β sandwich architecture | Likely adapted to marine salt environments |
| Substrate binding | Higher energy conformation stabilized by aromatic residues | May utilize different stabilizing interactions |
| Inhibition profiles | Well-characterized with multiple inhibitors | Likely has distinct inhibitor sensitivity |
The differences in processing mechanisms likely reflect evolutionary adaptations to the distinct cellular environments and metabolic contexts of archaeal versus eukaryotic cells. The archaeal AdoMetDC may have adaptations for functioning optimally under the conditions found in methanogens, including high salt concentrations and unique redox conditions .
To achieve optimal activity for purified recombinant M. maripaludis AdoMetDC, researchers should consider the following protocol recommendations:
Expression Optimization:
Transform expression plasmid containing the M. maripaludis speH gene into an appropriate E. coli strain, such as T7 Express
Culture transformants in LB medium supplemented with appropriate antibiotics
Induce protein expression at OD₆₀₀ of 0.6-0.8 with 0.1-0.5 mM IPTG
Lower post-induction temperature to 25-30°C to enhance proper folding
Extend expression time to 16-18 hours for maximum yield of properly processed enzyme
Purification Strategy:
Harvest cells by centrifugation at 5,000 × g for 15 minutes at 4°C
Resuspend cell pellet in lysis buffer containing:
Disrupt cells using sonication or French press
Clarify lysate by centrifugation at 20,000 × g for 30 minutes at 4°C
Apply supernatant to appropriate affinity column based on incorporated tag
Include intermediate salt concentration washes to remove contaminants
Elute protein and perform buffer exchange to storage buffer
Activity Preservation:
Store purified enzyme in buffer containing:
25 mM HEPES, pH 7.5
100 mM NaCl
1 mM DTT
10% glycerol
Flash-freeze aliquots in liquid nitrogen and store at -80°C
Avoid repeated freeze-thaw cycles
Activity Assay Conditions:
Measure AdoMetDC activity using:
These recommendations incorporate principles from successful enzyme expression protocols adapted for the specific characteristics of M. maripaludis proteins, including their preference for marine salt concentrations and mesophilic growth conditions.
Distinguishing between processing defects (affecting proenzyme cleavage to generate the pyruvoyl group) and catalytic defects (affecting substrate binding or chemistry) in AdoMetDC mutants requires systematic analytical approaches:
Structural Characterization:
SDS-PAGE analysis: Processing-defective mutants will show a predominance of uncleaved proenzyme band, while catalytic mutants should show normal processing into α and β subunits
Mass spectrometry: Confirm the presence or absence of processing by accurate mass determination of protein species
X-ray crystallography: Determine if the pyruvoyl group forms properly and if other structural elements are preserved
Functional Analysis:
Processing rate measurements: Monitor the conversion of proenzyme to processed enzyme over time after expression
Substrate binding assays: Use isothermal titration calorimetry or fluorescence-based binding assays to distinguish binding defects from catalytic defects
Pre-steady state kinetics: Analyze individual steps in the catalytic cycle using stopped-flow or rapid quench techniques
Comparative Analysis Workflow:
| Analysis Stage | Processing Defect Indicators | Catalytic Defect Indicators |
|---|---|---|
| Protein appearance | Predominant unprocessed band on SDS-PAGE | Normal α/β subunit pattern on SDS-PAGE |
| Mass spectrometry | Mass consistent with unprocessed proenzyme | Masses consistent with proper α/β processing |
| Structural integrity | Disruption in residues near processing site | Alterations in substrate binding pocket or catalytic residues |
| Substrate binding | May show normal binding if binding site forms | Altered binding affinity or specificity |
| Reaction chemistry | No decarboxylation activity due to lack of pyruvoyl group | Reduced reaction rate despite proper processing |
| Rescue experiments | May be rescued by in vitro processing under forcing conditions | Not rescued by processing conditions |
This systematic approach allows researchers to pinpoint whether mutations affect the initial autocatalytic processing step or subsequent catalytic steps, enabling more precise mechanistic understanding of AdoMetDC function .
To comprehensively investigate the role of AdoMetDC in M. maripaludis polyamine metabolism across different environmental conditions, researchers should implement a multi-faceted experimental approach:
Genetic Manipulation Strategies:
Gene deletion and complementation: Generate ΔspeH knockout strains and complement with wild-type or mutant variants to assess phenotypic effects
Controlled expression systems: Develop tunable promoters for M. maripaludis to modulate speH expression levels
Reporter fusions: Create translational fusions with fluorescent proteins to monitor expression patterns in vivo
Environmental Response Profiling:
Growth condition variations:
Stress response analysis: Examine AdoMetDC function under:
Oxidative stress
Temperature shifts
pH fluctuations
Nutrient limitation
Integrated Omics Approaches:
Transcriptomics: RNA-seq analysis to examine speH expression patterns relative to other polyamine biosynthesis genes
Proteomics: Quantify protein levels and post-translational modifications
Metabolomics: Monitor polyamine pools and related metabolites
Fluxomics: Trace isotope-labeled precursors through the polyamine biosynthetic pathway
Data Integration Framework:
| Experimental Approach | Primary Data Generated | Secondary Analysis | Integration Point |
|---|---|---|---|
| Gene deletion | Growth phenotypes, metabolite profiles | Identification of essential conditions | Map conditions where AdoMetDC is critical |
| Transcriptomics | Gene expression patterns | Coregulation networks | Identify regulatory connections |
| Proteomics | Protein abundance, modifications | Protein-protein interactions | Determine processing efficiency |
| Metabolomics | Polyamine concentrations | Metabolic bottlenecks | Connect enzyme activity to metabolite levels |
| Environmental variation | Condition-specific responses | Adaptive mechanisms | Map environmental response networks |
By integrating these approaches, researchers can build a comprehensive model of how AdoMetDC functions within the broader context of M. maripaludis metabolism and how its activity is modulated in response to changing environmental conditions, including the significant metabolic reprogramming that occurs during syntrophic growth .
When facing inactivity of recombinant M. maripaludis AdoMetDC after expression, researchers should systematically troubleshoot using the following approach:
Problem Identification and Resolution Framework:
Improper protein processing:
Symptom: SDS-PAGE shows primarily unprocessed proenzyme
Solution: Optimize expression conditions by lowering temperature to 20-25°C or extending expression time to allow complete autoprocessing
Alternative: Attempt in vitro processing by incubating purified proenzyme under mild denaturing conditions (1-2 M urea) with extended time at 30°C
Incorrect protein folding:
Symptom: Protein aggregates or appears in inclusion bodies
Solution: Express with molecular chaperones such as GroEL/ES or trigger factor
Alternative: Use archaeal expression hosts such as Haloferax volcanii for more authentic folding environment
Insufficient ionic conditions:
Redox sensitivity:
Symptom: Activity loss during purification
Solution: Maintain reducing conditions throughout purification with 1-5 mM DTT or 2-mercaptoethanol
Verification: Test activity recovery with different reducing agents
Missing cofactors or activators:
Decision Tree for Troubleshooting:
| Observation | Initial Test | If Positive | If Negative |
|---|---|---|---|
| No visible processing | SDS-PAGE analysis | Optimize processing conditions | Check for mutation in processing site |
| Visible processing but no activity | Substrate binding assay | Focus on catalytic conditions | Consider structural integrity issues |
| Activity in crude extract but lost during purification | Activity assay with redox agents | Include reducing agents | Test for lost cofactors |
| Low activity compared to native enzyme | Salt/ion titration | Adjust buffer composition | Consider protein-protein interactions |
| Inconsistent activity between batches | Expression condition comparison | Standardize protocol | Sequence verify expression construct |
By systematically working through these troubleshooting approaches, researchers can identify and resolve the specific factors limiting recombinant M. maripaludis AdoMetDC activity, leading to more consistent and reliable experimental results .
Expressing archaeal proteins like M. maripaludis AdoMetDC in bacterial systems presents unique challenges due to differences in cellular machinery, codon usage, and folding environments. The following strategies can help overcome these obstacles:
Genetic Optimization Approaches:
Codon optimization:
Expression vector selection:
Expression Condition Optimization:
Temperature modulation:
Lower expression temperature to 15-25°C to slow folding and reduce aggregation
Implement temperature shifts: grow at 37°C until induction, then reduce temperature
Induction parameters:
Use lower inducer concentrations (0.01-0.1 mM IPTG instead of 1 mM)
Induce at higher cell densities (OD₆₀₀ of 0.8-1.0)
Extend expression time to 16-24 hours at reduced temperature
Media optimization:
Host Engineering Solutions:
Specialized expression strains:
Use strains with additional tRNAs for rare codons (e.g., Rosetta)
Select strains with enhanced disulfide bond formation capabilities (e.g., Origami)
Consider strains with reduced protease activity (e.g., BL21)
Co-expression strategies:
Co-express molecular chaperones (GroEL/ES, DnaK/J)
Include archaeal-specific chaperones when available
Co-express metabolic enzymes needed for specific post-translational modifications
Comparative Success Rates for Different Strategies:
| Strategy | Impact on Solubility | Impact on Processing | Impact on Activity | Implementation Difficulty |
|---|---|---|---|---|
| Codon optimization | High | Medium | Low | Medium |
| Fusion tags | Very high | Variable (may inhibit) | Medium | Low |
| Temperature reduction | High | Generally positive | High | Low |
| Chaperone co-expression | Medium to high | Medium | Medium | Medium |
| Archaeal expression host | Medium to high | Very high | Very high | High |
| Salt/osmolyte addition | Critical for halophiles | Variable | High for halophiles | Low |
By combining these approaches and systematically testing variations, researchers can significantly improve the likelihood of successfully expressing functional archaeal proteins in bacterial systems. The specific combination needed will depend on the particular properties of M. maripaludis AdoMetDC, including its salt requirements, processing mechanism, and structural complexity .
Comparative genomics approaches offer powerful insights into the evolution of AdoMetDC across archaeal species, potentially revealing adaptation mechanisms and functional innovations. Future research in this direction should consider:
Evolutionary Analysis Framework:
Phylogenetic mapping:
Structural comparative genomics:
Compare crystal structures from diverse organisms to identify conserved catalytic cores versus variable surface regions
Analyze how differences in quaternary structure relate to environmental adaptations
Correlate structural variations with differences in catalytic efficiency or substrate specificity
Genomic context analysis:
Potential Research Implications:
| Research Approach | Expected Insights | Methodological Requirements | Potential Applications |
|---|---|---|---|
| Sequence comparison across methanogens | Environmental adaptation signatures | Comprehensive genome sampling | Identify targets for environmental engineering |
| Structure-sequence correlation | Function-determining residues | Structural data from diverse species | Rational enzyme engineering |
| Regulatory network comparison | Evolution of metabolic control | Transcriptome data from multiple species | Synthetic biology applications |
| Genomic context analysis | Functional associations and co-evolution | High-quality genome assemblies | Discovery of novel pathway connections |
| Horizontal gene transfer analysis | Evolutionary origins of archaeal AdoMetDC | Robust phylogenetic methods | Understanding archaeal-bacterial interactions |
This research direction would significantly enhance our understanding of how AdoMetDC has evolved across archaeal lineages, particularly in methanogens like M. maripaludis, and how its structural and functional properties reflect adaptations to different environmental niches . The findings could inform both fundamental evolutionary biology and applied aspects of methanogen biotechnology.
Research on M. maripaludis AdoMetDC has the potential to spawn innovative biotechnological applications across several domains:
Enzyme Engineering Applications:
Thermostable enzyme variants:
Engineer AdoMetDC variants with enhanced stability for industrial biocatalysis
Develop chimeric enzymes combining features from mesophilic M. maripaludis and thermophilic archaeal homologs
Create enzymes with broader pH tolerance for industrial applications
Substrate specificity modifications:
Design variants that can decarboxylate structurally related compounds for chemical synthesis
Engineer the active site to create novel carbon-carbon bond cleaving capabilities
Develop AdoMetDC variants for production of specialty chemicals
Therapeutic Target Development:
Antimicrobial design:
Cancer therapy approaches:
Synthetic Biology and Metabolic Engineering:
Methane production optimization:
Novel pathway engineering:
Incorporate archaeal AdoMetDC into synthetic pathways for specialized metabolite production
Develop polyamine-derived specialty chemicals
Create hybrid pathways combining elements from all three domains of life
Potential Application Assessment:
| Application Area | Technical Feasibility | Commercial Potential | Research Priority Areas |
|---|---|---|---|
| Biocatalysis | Medium-High | Medium | Stability enhancement, substrate range expansion |
| Antimicrobial development | Medium | High | Selective inhibitor design, in vivo testing |
| Methane bioproduction | High | High | Growth optimization, syntrophic engineering |
| Synthetic metabolic pathways | Medium | Medium-High | Pathway integration, regulation design |
| Structural biology tools | Very High | Low-Medium | Crystallization improvements, structural studies |
By exploring these diverse applications, research on M. maripaludis AdoMetDC could contribute to advances in biocatalysis, therapeutics, and renewable energy, leveraging the unique properties of archaeal enzymes for biotechnological innovation .
Advancing our understanding of AdoMetDC function in archaea will require integrative approaches that combine multiple experimental paradigms and computational methods. Future research should focus on:
Multi-omics integration:
Combine transcriptomics, proteomics, and metabolomics data to build comprehensive models of polyamine metabolism in M. maripaludis
Correlate changes in AdoMetDC expression and processing with global cellular responses to environmental changes
Implement systems biology approaches to position AdoMetDC within the broader metabolic network
Structural-functional correlations:
Evolutionary and ecological context: