KEGG: mja:MJ_1361
STRING: 243232.MJ_1361
Methanocaldococcus jannaschii is an autotrophic archaeon originally isolated from a sediment sample collected at the base of a 2600m deep "white smoker" chimney located at 21°N on the East Pacific Rise . This extremophile grows under remarkable conditions: pressures up to more than 500 atmospheres and temperatures ranging from 48-94°C, with an optimal growth temperature near 85°C . As a strict anaerobe, it produces methane as part of its metabolic processes, making it a methanogen .
The significance of M. jannaschii extends to multiple research areas. Its complete genome (1.66-megabase pair) was sequenced, along with its 58- and 16-kilobase pair extrachromosomal elements, revealing 1738 predicted protein-coding genes . As one of the phylogenetically deeply rooted methanogens living in deep-sea hydrothermal vents, it represents an organism that derives energy exclusively from hydrogenotrophic methanogenesis, considered one of the oldest respiratory metabolisms on Earth . This makes M. jannaschii invaluable for evolutionary studies, extremophile biology, and understanding archaeal protein structure and function at extreme conditions.
MJ1361 is an uncharacterized protein from M. jannaschii with a complete amino acid sequence of 292 amino acids . The protein's exact function remains undetermined, as suggested by its "uncharacterized" designation. The amino acid sequence is available and has been used to produce recombinant versions of the protein for research purposes .
From the available data, we know that MJ1361 is encoded on the main chromosome of M. jannaschii. The protein sequence contains regions that may provide clues to its structure and function, though specific domain annotations and structural characterizations are still developing areas of research. Current research efforts are focused on expression, purification, and characterization of this protein to elucidate its biological role within the extremophilic context of M. jannaschii.
The extremophilic nature of M. jannaschii has profound implications for research on MJ1361. The native protein evolved to function optimally at high temperatures (near 85°C) and high pressures (up to 500 atmospheres), conditions that would denature most mesophilic proteins . This presents both challenges and opportunities for researchers.
When working with recombinant MJ1361, researchers must consider:
Protein stability and folding: The recombinant protein may require high temperatures to achieve its native conformation and optimal activity. Standard room-temperature assays might not reveal the protein's true functional capabilities.
Expression systems: Traditional E. coli expression systems may not produce properly folded protein, necessitating specialized conditions or alternative expression hosts.
Purification strategies: Heat treatment can often be used as a purification step, as the thermostable MJ1361 will remain soluble while most E. coli proteins denature and precipitate.
Activity assays: Enzyme activity, binding studies, or other functional assays should be conducted across a range of temperatures, including those approaching the optimal growth temperature of M. jannaschii (85°C).
Structural studies: The protein structure may reveal adaptations specific to thermostability, such as increased ionic interactions, hydrophobic packing, or disulfide bonding.
These considerations make MJ1361 not only an object of study for its unknown function but also a model for understanding protein adaptation to extreme environments.
While the search results don't specifically mention expression systems used for MJ1361, successful expression of archaeal proteins from M. jannaschii typically employs the following systems:
E. coli expression systems: Most commonly used due to their simplicity and high yield. For archaeal proteins like MJ1361, specialized E. coli strains designed for expressing proteins with rare codons (such as Rosetta or CodonPlus strains) may be necessary due to codon bias differences between archaea and bacteria.
Vector selection: Expression vectors with strong inducible promoters (T7, tac) are typically used. For thermostable proteins like those from M. jannaschii, vectors allowing cold-shock induction can sometimes improve folding by slowing down the expression process.
Fusion tags: Affinity tags such as His6, GST, or MBP can facilitate purification. The choice of tag can significantly affect solubility and yield of the recombinant protein.
For optimal expression of MJ1361, researchers should consider:
| Expression Parameter | Recommendation for MJ1361 |
|---|---|
| Host strain | E. coli BL21(DE3), Rosetta(DE3), or Arctic Express |
| Growth temperature | 18-30°C for expression phase |
| Induction conditions | 0.1-0.5 mM IPTG, potentially at lower temperatures |
| Media | LB, TB, or minimal media depending on experimental needs |
| Fusion tags | N-terminal His6 tag for initial purification trials |
| Co-expression | Consider chaperones if solubility is problematic |
Given the thermophilic nature of M. jannaschii, heat treatment (60-75°C) of the crude cell lysate can be an effective initial purification step, as most E. coli proteins will denature while MJ1361 should remain soluble.
Based on the amino acid sequence provided in the search results , the basic physicochemical properties of MJ1361 can be calculated or predicted:
These properties are important considerations for experimental design, particularly for purification strategies. The basic properties suggest that MJ1361:
Is a medium-sized protein amenable to standard expression and purification techniques
Has a relatively basic pI, which affects its behavior in ion exchange chromatography
Likely possesses high thermal stability, reflecting its origin from a hyperthermophilic organism
May require glycerol for stability in storage, as indicated in the recommended storage buffer
Researchers should validate these predicted properties experimentally, as post-translational modifications or structural factors may influence the actual behavior of the protein.
While the search results don't explicitly identify specific structural motifs or domains in MJ1361, researchers can employ various bioinformatic approaches to predict functional regions:
Sequence analysis of MJ1361 using tools like InterPro, Pfam, SMART, or CDD might reveal conserved domains or motifs. Based on the amino acid sequence provided , several features may be present:
Potential nucleic acid binding regions: The sequence contains multiple lysine and arginine residues (particularly in the regions "YPIKTRYIKRGEN" and "MPKEETLKHKQ"), which are often associated with nucleic acid binding domains.
Hydrophobic core regions: Segments like "GVLAYLCYYWSK" and "GIISGIGVFGFILGR" contain clusters of hydrophobic residues that may form structural cores in the folded protein.
Potential enzymatic motifs: The sequence "VVVMVADTDATY" contains aspartic acid residues that are common in various enzyme active sites.
To fully characterize the structural elements of MJ1361, researchers should consider:
Secondary structure prediction using tools like PSIPRED or JPred
3D structure modeling using homology modeling or ab initio approaches
Conducting experimental structure determination via X-ray crystallography, NMR, or cryo-EM
Limited proteolysis experiments to identify stable domains within the protein
These approaches would provide insights into how MJ1361's structure relates to its yet-undetermined function in M. jannaschii.
Temperature effects on folding:
Low-temperature expression: May improve solubility but might lead to misfolded states or incomplete folding if the protein requires higher temperatures to achieve proper conformation.
Heat activation: Many proteins from hyperthermophiles require a heat treatment step to attain their fully folded, active conformation after expression in mesophilic hosts.
Temperature effects on stability:
Proteins from hyperthermophiles like M. jannaschii typically show a stability curve with:
Increased rigidity at mesophilic temperatures (20-40°C)
Optimal flexibility and function at high temperatures (60-90°C)
Denaturation at extremely high temperatures (generally >90-100°C)
Researchers studying MJ1361 should consider:
| Temperature Range | Expected Behavior | Experimental Approach |
|---|---|---|
| 20-40°C | Likely properly folded but potentially rigid or less active | Standard biochemical assays |
| 40-60°C | Increasing activity and optimal flexibility | Heat treatment studies, activity assays at varied temperatures |
| 60-85°C | Likely optimal activity range | High-temperature activity assays, stability measurements |
| >85°C | Gradual denaturation | Thermal denaturation studies, Differential Scanning Calorimetry |
Understanding these temperature effects is crucial for proper handling, storage, and functional characterization of MJ1361.
Identifying homologs of MJ1361 across different species is essential for functional prediction and evolutionary analysis. While the search results don't specifically mention homologs, researchers can employ several approaches to identify them:
BLAST searches: Using MJ1361's sequence to query protein databases can identify similar proteins across the tree of life.
Profile-based searches: Tools like PSI-BLAST, HMMer, or profile HMMs can detect more distant homologs based on position-specific scoring matrices or hidden Markov models.
Structural homology: Even with low sequence similarity, structural homology can be detected using tools like HHPred or Phyre2.
Potential types of homologs might include:
Orthologs: Direct functional equivalents in other species, particularly in closely related methanogenic archaea
Paralogs: Related proteins within M. jannaschii that arose through gene duplication
Functionally similar proteins: Proteins with similar functions but divergent sequences in distantly related organisms
To systematically analyze homology relationships, researchers should compile data in a format similar to:
| Organism | Protein ID | Sequence Identity (%) | Query Coverage (%) | E-value | Domain Architecture |
|---|---|---|---|---|---|
| M. species 1 | MXxxxx | 65-85 | 90-100 | <1e-50 | [Domains present] |
| Related archaea | ID | 40-65 | 75-95 | <1e-20 | [Domains present] |
| Distant archaea | ID | 20-40 | 50-80 | <1e-10 | [Domains present] |
| Bacteria | ID | 15-25 | 30-60 | <1e-5 | [Domains present] |
Genomic context analysis can provide additional functional insights, as genes with related functions often cluster together in prokaryotic genomes. Examining the genetic neighborhood of MJ1361 in M. jannaschii and its homologs in other species may reveal functional associations.
Based on general practices for recombinant archaeal proteins and information from the search results, here is a recommended protocol for expression and purification of MJ1361:
Expression Protocol:
Cloning:
Clone the MJ1361 gene into a suitable expression vector (e.g., pET series)
Include a purification tag (His6 recommended based on common practice)
Verify the construct by sequencing
Transformation and Expression:
Transform into an E. coli expression strain (BL21(DE3) or Rosetta(DE3))
Grow cultures at 37°C to mid-log phase (OD600 ≈ 0.6-0.8)
Induce with 0.5 mM IPTG
Shift to lower temperature (18-25°C) for overnight expression
Purification Protocol:
Cell Lysis:
Harvest cells by centrifugation
Resuspend in lysis buffer (50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole)
Lyse cells by sonication or high-pressure homogenization
Heat Treatment (exploit thermostability):
Heat clarified lysate to 65-75°C for 15-20 minutes
Remove precipitated E. coli proteins by centrifugation
Affinity Chromatography:
Apply supernatant to Ni-NTA column
Wash with buffer containing 20-40 mM imidazole
Elute with 250-300 mM imidazole
Further Purification:
Size exclusion chromatography using a Superdex 75/200 column
Ion exchange chromatography if additional purity is required
Storage:
Protein Quality Assessment:
SDS-PAGE to verify size and purity
Western blot to confirm identity
Mass spectrometry for precise molecular weight determination
Circular dichroism to assess secondary structure content
Dynamic light scattering to evaluate homogeneity
This protocol leverages the thermostable nature of MJ1361 as a purification advantage while following standard recombinant protein practices.
Assessing the structural integrity of purified MJ1361 is crucial to ensure that experiments are conducted with properly folded, functionally relevant protein. Several complementary techniques can be employed:
Spectroscopic Methods:
Circular Dichroism (CD) Spectroscopy:
Far-UV CD (190-250 nm): Provides information about secondary structure content (α-helices, β-sheets)
Near-UV CD (250-350 nm): Reports on tertiary structure and environment of aromatic residues
Thermal melt CD: Monitors unfolding transitions as temperature increases
Fluorescence Spectroscopy:
Fourier Transform Infrared Spectroscopy (FTIR):
Provides complementary information about secondary structure
Particularly useful for proteins with high β-sheet content
Hydrodynamic Methods:
Size Exclusion Chromatography (SEC):
Confirms proper oligomeric state and absence of aggregation
Multi-angle light scattering (SEC-MALS) provides absolute molecular weight
Dynamic Light Scattering (DLS):
Measures particle size distribution
Monitors homogeneity and potential aggregation
Particularly useful before crystallization attempts
Thermal Stability Analysis:
Differential Scanning Calorimetry (DSC):
Measures heat changes during protein unfolding
Determines melting temperature (Tm) and enthalpy of unfolding
For thermostable proteins like MJ1361, may require high-temperature capability
Thermal Shift Assays:
Uses fluorescent dyes (e.g., SYPRO Orange) that bind to hydrophobic regions exposed during unfolding
Can be performed in a qPCR instrument for high-throughput analysis
Functional Assessments:
Activity assays (once function is determined)
Ligand binding studies using techniques like isothermal titration calorimetry (ITC) or microscale thermophoresis (MST)
For a thermostable protein like MJ1361, researchers should perform these analyses at both standard and elevated temperatures to properly characterize the protein's stability profile across the relevant temperature range for M. jannaschii (48-94°C) .
Since MJ1361 is an uncharacterized protein, a systematic approach to identify potential enzymatic activities is necessary. Based on genomic context and sequence homology insights, the following analytical techniques can be employed:
Activity Screening Approaches:
Broad-spectrum enzymatic assays:
Nucleic acid interaction assays:
Metabolic pathway-related assays:
Advanced Analytical Techniques:
Mass Spectrometry-Based Approaches:
Enzyme activity detection by mass spectrometry (EADMS)
Activity-based protein profiling (ABPP)
Substrate identification through untargeted metabolomics
Structural Biology Methods:
X-ray crystallography with potential substrates or substrate analogs
NMR for detecting substrate binding and structural changes
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify binding regions
Computational Predictions:
Active site prediction through structural modeling
Substrate docking simulations
Quantum mechanics/molecular mechanics (QM/MM) simulations of potential reactions
Systematic Activity Testing Protocol:
| Temperature Range | Buffer Systems | Cofactor Additions | Detection Methods |
|---|---|---|---|
| 37°C (control) | HEPES, pH 7.5 | None | Spectrophotometric |
| 60-65°C | Phosphate, pH 7.0 | Mg2+, Mn2+ | Fluorometric |
| 80-85°C (optimal) | PIPES, pH 6.8 | ATP, GTP, NAD(P)H | HPLC analysis |
| 90-95°C (upper limit) | MES, pH 6.5 | Fe-S clusters, specific cofactors | Mass spectrometry |
For each condition, researchers should test:
Hydrolytic activities against various substrates
Redox reactions with potential electron donors/acceptors
Transferase activities with relevant metabolic intermediates
Binding of common cofactors and metabolites
Given M. jannaschii's extremophilic nature, enzyme assays should be conducted under anaerobic conditions at high temperatures, ideally replicating the organism's native environment as closely as possible.
Given the uncharacterized nature of MJ1361, computational approaches offer valuable insights into potential functions. Researchers can employ a multi-layered strategy combining various predictive methods:
Sequence-Based Approaches:
Motif and Domain Identification:
Search against domain databases (Pfam, InterPro, CDD)
Identify functional motifs using PROSITE or PRINTS
Detect distant homologies using profile-based methods (PSI-BLAST, HMMer)
Evolutionary Analysis:
Phylogenetic profiling to identify co-evolving genes
Conservation analysis to identify functionally important residues
Analysis of synonymous/non-synonymous substitution rates
Genomic Context:
Examine neighboring genes in the M. jannaschii genome
Identify operons or gene clusters that might suggest functional relationships
Compare genomic context across related archaeal species
Structure-Based Approaches:
Homology Modeling:
Generate 3D structural models using templates from related proteins
Use threading approaches like I-TASSER or Phyre2 when sequence homology is low
Validate models using quality assessment tools (PROCHECK, VERIFY3D)
Structural Comparison:
Compare predicted structure to known protein structures using DALI or TM-align
Identify structural similarities that might not be apparent from sequence alone
Analyze structural motifs associated with specific functions
Binding Site Prediction:
Identify potential active sites using tools like CASTp or POCASA
Predict ligand binding pockets and their properties
Use FTMap or SiteMap to predict binding hot spots
Integrated Approaches:
Protein-Protein Interaction Prediction:
Use methods like STRING or PIPS to predict interaction partners
Infer function through guilt-by-association with known proteins
Protein Function Prediction Servers:
Employ meta-servers like COFACTOR or ProFunc that integrate multiple approaches
Use machine learning approaches trained on diverse features
Pathway Mapping:
Map potential functions to known biochemical pathways in archaea
Focus on methanogenesis and other pathways critical to M. jannaschii
By applying these computational approaches systematically and integrating the results, researchers can generate testable hypotheses about MJ1361's function that can guide experimental design.
Crystallizing proteins from hyperthermophiles like M. jannaschii presents unique challenges and opportunities. The following considerations should guide crystallization attempts for MJ1361:
Advantages of Crystallizing Thermostable Proteins:
Intrinsic Stability:
Higher conformational rigidity often leads to better crystal formation
Reduced flexibility may result in higher-resolution diffraction
Greater resistance to oxidation during crystallization process
Enhanced Solubility:
Many thermostable proteins remain soluble at high concentrations
Often less prone to non-specific aggregation
May allow for a wider range of crystallization conditions
Special Considerations and Strategies:
Temperature Optimization:
Test crystallization at elevated temperatures (30-60°C)
Consider temperature as an additional crystallization parameter
Use temperature-controlled crystallization systems
Buffer Selection:
Choose buffers with stability at higher temperatures
Consider buffers that mimic the intracellular environment of M. jannaschii
Test a wider pH range, as extremophile proteins often function in unusual pH environments
Additive Screening:
Include ions found in deep-sea hydrothermal vents (Mg²⁺, Fe²⁺/³⁺)
Test specific cofactors that might stabilize the native conformation
Consider archaeal-specific lipids or membrane components
Surface Engineering:
If initial crystallization attempts fail, consider surface entropy reduction
Modify surface-exposed lysine clusters to alanines to promote crystal contacts
Design constructs with flexible termini removed
Practical Crystallization Protocol:
| Phase | Approach for MJ1361 |
|---|---|
| Initial Screening | Commercial sparse matrix screens at both 4°C and 20-37°C |
| Optimization | Fine-grid screens around promising conditions with temperature as variable |
| Special Techniques | Sitting drop for higher temperature work; under-oil for slower equilibration |
| Seeding | Microseed matrix seeding using any initial crystals to expand condition range |
| Cryoprotection | Test both standard cryoprotectants and high-salt conditions native to M. jannaschii |
Alternative Structural Approaches:
If crystallization proves challenging, consider:
Cryo-electron microscopy, especially if MJ1361 forms oligomeric assemblies
NMR spectroscopy for structure determination in solution
Small-angle X-ray scattering (SAXS) for low-resolution envelope determination
The thermostability of MJ1361 can be advantageous during data collection, potentially allowing for room-temperature data collection which can reveal functionally relevant conformational states that might be obscured in cryo-cooled crystals.
Determining the function of uncharacterized proteins like MJ1361 requires an integrated, multidisciplinary approach that combines computational predictions with targeted experimental validation:
Systematic Functional Discovery Workflow:
Initial Computational Prediction:
Generate hypotheses about function using bioinformatic approaches
Identify potential binding partners, substrates, or activities
Classify the protein into broad functional categories
Strategic Experimental Design:
Develop experiments to test multiple functional hypotheses in parallel
Prioritize experiments based on computational confidence scores
Design controls that can distinguish between alternative functions
Iterative Refinement:
Use initial experimental results to refine computational models
Narrow the functional search space based on positive or negative results
Develop increasingly specific experiments as knowledge accumulates
Experimental Approaches for Functional Determination:
Gene Context Analysis:
Examine the genomic neighborhood of MJ1361 in M. jannaschii
Identify operons or gene clusters that might suggest function
Compare with syntenic regions in related organisms
Gene Deletion or Silencing:
Protein Interaction Studies:
Identify binding partners through pull-down assays or yeast two-hybrid
Characterize protein complexes using mass spectrometry
Map interaction networks to infer function from known partners
Substrate Identification:
Use activity-based protein profiling to identify potential substrates
Screen metabolite libraries for binding using thermal shift assays
Apply metabolomic approaches to identify accumulating substrates in deletion mutants
Case Study Approach:
For uncharacterized archaeal proteins, researchers can examine successful functional determination case studies. For example, with MJ1361:
Start with sequence analysis and structural modeling
Generate recombinant protein and confirm proper folding
Screen for enzymatic activities based on predicted functional class
Validate in vivo relevance through genetic approaches where possible
Confirm biological context through physiological studies
The key to success is maintaining a flexible, iterative approach where computational and experimental methods inform each other, gradually narrowing the functional possibilities until the biological role of MJ1361 is determined.
Comparative genomics provides powerful insights into the potential function of uncharacterized proteins by examining patterns of conservation, gene neighborhood, and co-evolution across species. For MJ1361, researchers can employ several comparative genomic approaches:
Conservation Analysis:
Phylogenetic Distribution:
Determine which lineages possess MJ1361 homologs
Map presence/absence patterns onto the archaeal phylogenetic tree
Correlate with ecological niches and metabolic capabilities
Sequence Conservation Patterns:
Identify highly conserved residues across homologs
Map conservation onto structural models to locate potential functional sites
Analyze patterns of conservative versus non-conservative substitutions
Genomic Context Analysis:
Gene Neighborhood Conservation:
Examine genes consistently found adjacent to MJ1361 homologs
Identify conserved operons or gene clusters across species
Look for functional relationships among neighboring genes
Fusion Events:
Search for proteins where MJ1361-like domains are fused with domains of known function
These fusion events can suggest functional relationships (Rosetta stone principle)
Co-Evolution Analysis:
Gene Co-occurrence Patterns:
Identify genes that show similar phylogenetic profiles to MJ1361
These may participate in the same biological process
Correlated Mutations:
Detect co-evolving residues within MJ1361 and between MJ1361 and other proteins
These can indicate functional or physical interactions
Comparative Experimental Data:
| Species | MJ1361 Homolog | Genomic Context | Known/Predicted Function | Experimental Evidence |
|---|---|---|---|---|
| M. jannaschii | MJ1361 | [Neighboring genes] | Uncharacterized | [Available data] |
| Related methanogen 1 | Homolog ID | [Neighboring genes] | [Any known function] | [Available data] |
| Related methanogen 2 | Homolog ID | [Neighboring genes] | [Any known function] | [Available data] |
| Distant archaeon | Homolog ID | [Neighboring genes] | [Any known function] | [Available data] |
By integrating these comparative genomic approaches, researchers can develop more informed hypotheses about MJ1361's function. For example, if MJ1361 homologs are consistently found near genes involved in methanogenesis across multiple methanogenic archaea, this would suggest a potential role in this pathway, which is central to M. jannaschii's metabolism .
The adaptation of M. jannaschii to extreme environments (high temperature, high pressure, strict anaerobiosis) has profound effects on protein structure and function. For MJ1361, these adaptations likely include:
Thermostability Adaptations:
Amino Acid Composition:
Increased proportion of charged amino acids (Glu, Arg, Lys) for ionic interactions
Higher content of hydrophobic residues in the protein core
Reduced occurrence of thermolabile residues (Asn, Gln, Cys, Met)
Structural Features:
More extensive ion pair networks, especially salt bridges
Tighter hydrophobic packing in the protein core
Reduced surface-to-volume ratio
Shortened loop regions with increased rigidity
Secondary Structure Preferences:
Higher proportion of α-helices compared to β-sheets
More extensive hydrogen bonding networks
Optimized helix dipole stabilization
Pressure Adaptation Mechanisms:
Structural Modifications:
Reduced internal cavities and voids
Multimeric assembly stabilization
Modified subunit interactions in oligomeric proteins
Functional Adaptations:
Potential altered reaction volumes for enzymatic activities
Modified conformational changes during catalytic cycles
Pressure-resistant active site architecture
Metabolic Context Adaptations:
Cofactor Binding:
Specialized binding pockets for archaeal-specific cofactors
Adaptations for methanogenesis-related molecules
Modified metal coordination environments
Protein-Protein Interactions:
Specialized interfaces for interactions at high temperatures
Stabilized complexes that maintain function under extreme conditions
Analyzing MJ1361 for Extremophilic Adaptations:
Examining MJ1361's sequence reveals features consistent with thermophilic adaptation:
High content of charged residues (numerous Lys, Arg, Glu residues)
Presence of extensive hydrophobic regions (e.g., "GVLAYLCYYWSK" and "GIISGIGVFGFILGR")
These adaptations not only ensure stability under extreme conditions but may also provide clues about MJ1361's function. Proteins involved in core metabolic processes in extremophiles often show more pronounced adaptive features than those involved in secondary functions.
Studying MJ1361 in the context of archaeal evolution can provide valuable insights into both protein function and the broader evolutionary history of archaea:
Archaeal Protein Evolution:
Archaeal-Specific Adaptations:
Identifying features unique to archaeal homologs versus bacterial counterparts
Understanding protein adaptations specific to the archaeal cellular environment
Characterizing archaeal-specific functional innovations
Domain Architecture Evolution:
Tracing the acquisition or loss of domains throughout archaeal evolution
Identifying fusion events that link MJ1361-like domains with other functional modules
Mapping the diversification of related protein families
Evolutionary Origin and History:
Phylogenetic Placement:
Determining if MJ1361 represents an ancient protein present in the last archaeal common ancestor
Assessing whether it was horizontally transferred between lineages
Evaluating its conservation across different archaeal phyla
Selection Pressure Analysis:
Calculating Ka/Ks ratios to identify regions under purifying or positive selection
Correlating selection patterns with functional importance
Determining if MJ1361 has undergone adaptive evolution in certain lineages
Implications for Early Life:
Deep Branching Position:
Methanogenesis Evolution:
Comparative Analysis Table:
| Evolutionary Aspect | Analysis Method | Potential Insight for MJ1361 |
|---|---|---|
| Ancient conservation | Phylogenetic analysis | Age and distribution across archaea |
| Horizontal gene transfer | Compositional bias, phylogenetic incongruence | Evolutionary origin and mobility |
| Functional divergence | Rate shifts, Type I/II divergence | Specialization across archaeal lineages |
| Structural conservation | 3D structural comparison | Core structural elements maintained through evolution |
By placing MJ1361 in this evolutionary context, researchers can not only better understand its specific function but also contribute to broader questions about protein evolution in extremophiles, the development of archaeal-specific metabolic pathways, and potentially even the conditions of early life on Earth.
Working with recombinant proteins from hyperthermophiles like M. jannaschii presents several unique challenges. Here are the major obstacles researchers face with proteins like MJ1361 and strategies to overcome them:
Problem: Codon bias differences, toxicity to host, improper folding at lower temperatures.
Solutions:
Use codon-optimized synthetic genes for E. coli expression
Employ specialized E. coli strains (Rosetta, CodonPlus) designed for rare codons
Test multiple expression vectors with different promoter strengths
Use cold-shock inducible systems and lower expression temperatures
Consider archaeal expression systems for particularly challenging proteins
Problem: Proteins evolved to fold at high temperatures may misfold at lower temperatures.
Solutions:
Implement post-expression heat treatment (60-80°C) to promote proper folding
Co-express with chaperones from thermophilic organisms
Use fusion partners that enhance solubility (SUMO, MBP, thioredoxin)
Refold from inclusion bodies under controlled temperature ramping
Include appropriate metal ions or cofactors during refolding
Problem: Standard assay conditions may not reveal the true activity of thermophilic enzymes.
Solutions:
Perform assays at elevated temperatures (60-85°C) that mimic native conditions
Use thermostable assay components and buffers
Implement specialized equipment for high-temperature enzyme assays
Design control experiments with known thermostable enzymes
Consider pressure effects for deep-sea organisms like M. jannaschii
Problem: While generally more stable, improper handling can still compromise protein quality.
Solutions:
Store in optimized buffers with glycerol as recommended for MJ1361
Consider lyophilization for long-term storage
Validate protein integrity after storage using activity assays and structural analysis
Problem: Crystallization conditions optimal for mesophilic proteins may not work for thermophilic proteins.
Solutions:
Screen crystallization conditions at elevated temperatures
Include ligands or substrates that may stabilize specific conformations
Consider surface entropy reduction for improved crystal packing
Employ cryo-EM as an alternative approach
Practical Implementation Table:
By implementing these specialized approaches, researchers can overcome the unique challenges presented by hyperthermophilic proteins like MJ1361 and successfully characterize their structural and functional properties.
Determining substrate specificity for an uncharacterized protein like MJ1361 requires a systematic approach combining computational predictions and experimental screening. Here's a comprehensive strategy:
Computational Substrate Prediction:
Structural Analysis:
Identify potential binding pockets and active sites
Analyze electrostatic and hydrophobic properties of these sites
Compare with known structures of functionally characterized proteins
Homology-Based Prediction:
Identify distant homologs with known substrate preferences
Analyze conservation of substrate-binding residues
Use homology to generate initial substrate hypotheses
Docking Simulations:
Perform virtual screening of metabolite libraries
Dock potential substrates into predicted binding sites
Rank compounds based on binding energy predictions
Experimental Substrate Identification:
Broad-Spectrum Substrate Screening:
Design a hierarchical screening approach, starting with substrate classes
Test substrate categories (e.g., sugars, amino acids, nucleotides, lipids)
Narrow down to specific compounds based on initial hits
Activity-Based Methods:
Activity-based protein profiling with probe libraries
Substrate activity screening using compound libraries
Monitor product formation using mass spectrometry or spectroscopic methods
Binding Assays:
Thermal shift assays to identify stabilizing ligands
Isothermal titration calorimetry for direct binding measurements
Surface plasmon resonance for binding kinetics
Fluorescence-based binding assays for high-throughput screening
Substrate Validation Approaches:
Enzyme Kinetics:
Determine kinetic parameters (Km, kcat, catalytic efficiency)
Compare efficiency across potential substrates
Test at multiple temperatures (including M. jannaschii's optimal growth temperature)
Structural Confirmation:
Co-crystallization with substrates or substrate analogs
NMR titration experiments to map binding interfaces
Hydrogen-deuterium exchange mass spectrometry to identify binding regions
Mutagenesis Studies:
Mutate predicted substrate-binding residues
Measure effects on catalysis and binding
Establish structure-function relationships
Substrate Screening Strategy Table:
| Approach | Methodology | Advantages | Challenges |
|---|---|---|---|
| Focused hypothesis testing | Test specific substrates based on bioinformatic predictions | Efficient if predictions are accurate | May miss unexpected substrates |
| Metabolite library screening | Test diverse compound libraries systematically | Comprehensive, unbiased approach | Resource-intensive, may require specialized equipment |
| Metabolomic comparison | Compare metabolite profiles between wildtype and knockout/overexpression | Identifies physiologically relevant substrates | Requires genetic system, complex data analysis |
| Substrate trapping | Engineer protein to trap substrates through mutation of catalytic residues | Can capture transient interactions | Requires knowledge of active site, may alter binding |
For MJ1361, researchers should begin with computational predictions based on sequence analysis and structural modeling, followed by experimental validation using thermal stability assays and activity screens with potential substrate classes. Given M. jannaschii's extremophilic lifestyle, special attention should be paid to unique metabolites found in hyperthermophilic methanogens.
Characterizing proteins from extremophiles like M. jannaschii requires interdisciplinary approaches that span multiple scientific disciplines. For MJ1361, integrating these diverse perspectives can provide comprehensive insights:
Integrative Approaches for MJ1361 Characterization:
Structural Biology and Biophysics:
High-resolution structure determination (X-ray crystallography, cryo-EM, NMR)
Biophysical characterization under extreme conditions
Analysis of conformational dynamics at high temperatures
Specialized techniques for studying thermostable proteins
Computational Biology:
Molecular dynamics simulations at elevated temperatures
Quantum mechanics/molecular mechanics for reaction mechanism prediction
Machine learning approaches for function prediction
Systems biology modeling of metabolic pathways
Environmental Microbiology:
Understanding the ecological context of M. jannaschii
Simulating deep-sea hydrothermal vent conditions in laboratory settings
Correlating protein function with environmental adaptations
Studying protein expression under different environmental stresses
Evolutionary Biology:
Comparative genomics across archaeal lineages
Reconstruction of ancestral protein sequences
Molecular clock analyses to date protein origins
Correlation of protein features with evolutionary history
Biotechnology and Synthetic Biology:
Engineering MJ1361 for enhanced stability or altered specificity
Development of applications leveraging thermostability
Creation of chimeric proteins with mesophilic homologs
Expression optimization in heterologous hosts
Collaborative Research Framework:
| Discipline | Contribution to MJ1361 Research | Methodology |
|---|---|---|
| Biochemistry | Functional characterization, enzyme kinetics | Protein purification, activity assays at high temperatures |
| Structural Biology | 3D structure, ligand binding sites | X-ray crystallography, NMR, cryo-EM |
| Molecular Biology | Gene context, expression patterns | RNA-seq, genetic manipulation, reporter systems |
| Bioinformatics | Sequence analysis, homology modeling | Computational prediction, evolutionary analysis |
| Biophysics | Stability, conformational changes | Calorimetry, spectroscopy, single-molecule techniques |
| Systems Biology | Pathway integration, network analysis | Metabolomics, flux analysis, network modeling |
| Synthetic Biology | Function validation, engineering | Gene synthesis, directed evolution, biosensors |
Implementation Strategy:
Cross-disciplinary team formation:
Core expertise in protein biochemistry and structural biology
Computational specialists for in silico analysis
Microbiology experts for physiological context
Evolutionary biologists for phylogenetic perspective
Integrated experimental design:
Parallel computational and experimental approaches
Iterative refinement of hypotheses
Multi-scale analysis from atomic to systems level
Technology integration:
High-temperature bioreactors for native-like conditions
Advanced imaging for protein localization in archaeal cells
High-performance computing for simulation under extreme conditions
Mass spectrometry for comprehensive interaction mapping
By leveraging these interdisciplinary approaches, researchers can develop a comprehensive understanding of MJ1361's structure, function, and evolutionary significance. This integrated strategy is particularly valuable for proteins from extremophiles, where traditional approaches developed for mesophilic proteins may be insufficient to capture the unique adaptations and functional characteristics of these fascinating biomolecules.