KEGG: ppr:PBPRA2940
STRING: 298386.PBPRA2940
The MetN protein in Photobacterium profundum is the ATP-binding component (nucleotide-binding domain) of the methionine ABC transporter system. It functions as part of a complex that typically includes a transmembrane domain (MetI) and a substrate-binding protein (MetQ). This transport system is responsible for the ATP-dependent import of methionine and its derivatives across the cell membrane. Similar to the E. coli MetNI system, the P. profundum MetN protein likely exhibits ATPase activity that drives conformational changes in the transporter complex, facilitating substrate translocation . The protein belongs to the broader ABC transporter superfamily, which utilizes ATP hydrolysis as an energy source for active transport of substrates.
In Photobacterium profundum SS9, the metN gene is part of the genome that has been extensively studied using genetic, genomic, and functional genomic approaches . While the specific organization of the metN gene locus in P. profundum is not explicitly detailed in the provided search results, it likely follows patterns similar to other bacterial methionine transport systems. Based on comparative genomics, the metN gene in P. profundum would be expected to be part of an operon that includes genes encoding other components of the methionine transport system. The genomic context may include regulatory elements that respond to methionine availability and environmental conditions, particularly pressure, which is a significant factor for deep-sea bacteria like P. profundum SS9.
The P. profundum MetN protein likely contains standard structural features of nucleotide-binding domains (NBDs) found in ABC transporters, including:
Walker A motif (P-loop): A conserved sequence involved in ATP binding
Walker B motif: Essential for ATP hydrolysis
ABC signature motif (C-loop): Unique to ABC transporters
Q-loop and H-loop: Involved in coordinating the nucleotide and communicating between domains
D-loop: Involved in the interface between the two NBDs
Additionally, by analogy with the E. coli MetNI transporter, the P. profundum MetN may contain a C-terminal regulatory domain that functions in trans-inhibition, regulating transport activity in response to intracellular methionine concentrations . This structural organization enables the protein to couple ATP hydrolysis with substrate transport while also responding to cellular methionine levels.
For recombinant expression of P. profundum MetN, researchers should consider the following methodological approach:
Expression System Selection: E. coli BL21(DE3) or similar strains are typically suitable for expressing bacterial membrane-associated proteins. For challenging expressions, specialized strains like C41(DE3) or C43(DE3) may offer advantages.
Vector Design: Use a vector containing an inducible promoter (T7 or tac) and include affinity tags (His6, FLAG, or Strep) for purification. The pET or pBAD vector systems are commonly used.
Temperature Optimization: Deep-sea proteins often express better at lower temperatures. Initial expression tests should include 15°C, 20°C, and 25°C conditions to determine optimal expression temperature.
Induction Parameters: For IPTG-inducible systems, use concentrations between 0.1-0.5 mM; higher concentrations may lead to inclusion body formation. Auto-induction media can also be considered for gentler expression.
Pressure Considerations: Since P. profundum is a piezophile adapted to high-pressure environments (optimally at 30 MPa) , expression under modest pressure (10-15 MPa) using specialized equipment may improve folding of pressure-adapted proteins.
The expression methodology should be validated by SDS-PAGE and Western blot analysis to confirm successful production of the target protein.
A multi-step purification strategy is recommended for isolating high-purity P. profundum MetN:
Cell Lysis: Use a combination of enzymatic (lysozyme) and mechanical (sonication or high-pressure homogenization) methods in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, and protease inhibitors.
Initial Capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA or Co-NTA resin for His-tagged protein. Include 20-40 mM imidazole in binding buffer to reduce non-specific binding.
Intermediate Purification: Ion exchange chromatography can be used as a second step, with the specific resin (anion or cation exchange) selected based on the protein's theoretical isoelectric point.
Polishing Step: Size exclusion chromatography using Superdex 200 or similar matrix in buffer containing 20 mM HEPES pH 7.5, 150 mM NaCl, 5 mM MgCl₂, and 1 mM DTT.
Quality Assessment: Analyze purity by SDS-PAGE (>95% purity target), verify identity by mass spectrometry, and assess functional activity through ATPase assays.
For protein intended for structural studies, additional steps like tag removal and buffer optimization may be necessary. The inclusion of detergents (0.02-0.05% DDM or 0.5% CHAPS) during purification may improve yield and stability if the protein associates with membrane components.
Functional assessment of purified P. profundum MetN should include multiple complementary approaches:
ATPase Activity Assay: Measure ATP hydrolysis using either:
Malachite green phosphate detection assay
Coupled enzyme assay with pyruvate kinase and lactate dehydrogenase
[γ-³²P]ATP-based assay for highly sensitive detection
Nucleotide Binding Analysis:
Fluorescence-based assays using TNP-ATP or MANT-ATP
Isothermal titration calorimetry (ITC) to determine binding constants
Surface plasmon resonance (SPR) for binding kinetics
Functional Reconstitution:
Reconstitute with MetI and MetQ components in liposomes
Measure transport of ¹⁴C or ³H-labeled methionine into liposomes
Assess transport under varying pressure conditions
Thermal Stability Assessment:
Differential scanning fluorimetry (DSF) to monitor protein stability
Circular dichroism (CD) spectroscopy for secondary structure analysis
A sample data table showing expected ATPase activity parameters:
| Condition | ATPase Activity (nmol Pi/min/mg) | Km for ATP (μM) | Vmax (nmol Pi/min/mg) |
|---|---|---|---|
| Standard (0.1 MPa) | 150-250 | 100-200 | 300-400 |
| High pressure (30 MPa) | 250-350 | 50-150 | 400-500 |
| + L-methionine (1 mM) | 50-100 | 150-250 | 150-200 |
| + D-methionine (1 mM) | 100-150 | 100-200 | 200-300 |
Note: These values are hypothetical and should be experimentally determined for P. profundum MetN, as actual values may differ based on specific conditions and protein preparation methods.
Investigating pressure-dependent activity of P. profundum MetN requires specialized equipment and methodological considerations:
High-Pressure Enzymatic Assays:
Experimental Design:
Establish a pressure gradient series (0.1 MPa, 10 MPa, 30 MPa, 50 MPa, 100 MPa)
Include appropriate controls: atmospheric pressure samples, pressure-sensitive proteins (e.g., from E. coli), and other P. profundum proteins
Measure activity immediately after pressurization and following pressure release to assess reversibility
Data Analysis Framework:
Calculate pressure activation volumes (ΔV‡) from rate constants at different pressures
Determine pressure midpoint (Pm) values where activity is 50% of maximum
Plot activity profiles as function of pressure to identify optimal conditions
Structural Analysis Under Pressure:
Small-angle X-ray scattering (SAXS) under pressure to monitor conformational changes
High-pressure NMR studies for detailed structural information
Molecular dynamics simulations to predict pressure effects on protein dynamics
The experimental approach should be modeled after methods used for studying other pressure-adapted proteins from P. profundum SS9, which has been extensively characterized for growth at pressures ranging from atmospheric to 90 MPa, with optimal growth occurring at approximately 28 MPa .
Investigating substrate specificity of P. profundum MetN requires a multi-faceted approach:
Competitive Binding Assays:
Radiolabeled methionine displacement assays with various methionine derivatives
Fluorescence-based competition assays using fluorescent methionine analogs
Surface plasmon resonance (SPR) competition studies
Transport Assays in Reconstituted Systems:
Liposome-based transport assays with different substrates
Whole-cell uptake assays using recombinant expression systems
Isothermal titration calorimetry to measure binding energetics
Substrate-Dependent ATPase Stimulation:
Structural Biology Approaches:
Co-crystallization with different substrates
Molecular docking simulations
HDX-MS (hydrogen-deuterium exchange mass spectrometry) to identify substrate interaction regions
Based on studies of the E. coli methionine ABC transporter, researchers should particularly investigate the transport of D-methionine derivatives, as the MetNI system has shown broad specificity toward methionine derivatives, including D-methionine . Additionally, the noncanonical role of binding proteins observed in E. coli MetNI transport of D-selenomethionine suggests examining similar phenomena in the P. profundum system .
Systematic mutagenesis approaches provide powerful tools for elucidating structure-function relationships in P. profundum MetN:
Targeted Site-Directed Mutagenesis:
Walker A motif (e.g., K45A) to disrupt ATP binding
Walker B motif (e.g., D170N) to allow ATP binding but prevent hydrolysis
ABC signature motif mutations to disrupt dimer formation
C-terminal regulatory domain mutations to alter trans-inhibition
Alanine-Scanning Mutagenesis:
Systematic replacement of residues with alanine along potential substrate paths
Focus on residues at the NBD-TMD interface that may be involved in conformational coupling
Domain Swapping Experiments:
Replace domains with homologous regions from pressure-sensitive organisms (e.g., E. coli MetN)
Create chimeric proteins to identify pressure-adaptation determinants
Exchange regulatory domains to investigate specificity of trans-inhibition
Functional Analysis of Mutants:
ATPase activity assays under varying pressure conditions
Transport assays using reconstituted systems
Thermal and pressure stability measurements
Binding affinity determination for ATP and substrate
In vivo Complementation Studies:
This approach should be guided by the successful genetic manipulation strategies previously employed in P. profundum, where in-frame deletions have been constructed using a two-step recombination process with the sacB-containing suicide vector pRL271 .
A comparative analysis of P. profundum MetN and E. coli MetN reveals both conserved features and adaptations specific to each organism's ecological niche:
Sequence and Structural Comparison:
Core NBD domains likely show high conservation in ATP-binding motifs
The C-terminal regulatory domain may exhibit differences reflecting distinct regulatory mechanisms
Pressure-adapted residues in P. profundum MetN may include increased hydrophobic packing and reduced void volumes
Functional Differences:
E. coli MetNI exhibits high-affinity transport toward L-methionine and broad specificity toward methionine derivatives
P. profundum MetN likely shows pressure-optimized kinetic parameters, potentially with higher catalytic efficiency at elevated pressures
The substrate specificity profile may differ, reflecting adaptation to deep-sea nutrient conditions
Regulatory Mechanisms:
Interaction with Binding Proteins:
The noncanonical role of binding proteins observed in E. coli methionine transport provides an interesting avenue for investigation in P. profundum, potentially revealing convergent or divergent evolutionary solutions to similar functional challenges .
Based on knowledge of deep-sea adaptations in P. profundum and other piezophiles, MetN likely exhibits several pressure-adaptive features:
P. profundum SS9 has demonstrated remarkable pressure adaptation in its motility systems, maintaining function up to 150 MPa while pressure-sensitive bacteria like E. coli show dramatic decreases in functionality . Similar adaptations are likely present in the methionine transport system, potentially allowing it to function optimally at the organism's preferred pressure of approximately 28 MPa.
The regulation and expression patterns of metN likely exhibit important differences between pressure-adapted P. profundum and pressure-sensitive bacteria:
Transcriptional Regulation:
Pressure-adapted species may have evolved pressure-responsive promoter elements
RNA polymerase sigma factors like those identified in P. profundum 3TCK (P3TCK_10673; RNA polymerase sigma factor, ECF subfamily) may play roles in pressure-responsive transcription
Pressure-adapted bacteria might employ specialized transcription factors that sense pressure changes
Expression Patterns:
P. profundum likely shows altered metN expression patterns under different pressure conditions
Similar to the lateral flagellum system in P. profundum SS9, which is induced by high pressure and viscosity , metN may show pressure-dependent expression
Expression might be coordinated with other transport systems and metabolic pathways affected by pressure
Genetic Context:
The genomic organization around metN may differ between pressure-adapted and pressure-sensitive species
Operon structures and genetic linkage to other pressure-responsive genes might be observed
Horizontal gene transfer, which has been suggested for some P. profundum genes (like the lateral flagellum cluster with higher GC content) , might also have influenced metN evolution
Post-transcriptional Regulation:
RNA secondary structures may differ to maintain stability under pressure
Translation efficiency might be optimized for high-pressure conditions
Post-translational modifications could play roles in pressure adaptation
Experimental approaches similar to those used for studying flagellar gene expression in P. profundum SS9, where pressure and viscosity-induced expression of flaB and motA1 genes was observed , could be adapted to investigate metN regulation under varying pressure conditions.
P. profundum MetN represents an excellent model system for structural studies of pressure adaptation mechanisms:
High-Resolution Structural Analysis:
X-ray crystallography at different pressures using pressure cells
Cryo-EM studies of the complete transporter complex under native-like conditions
NMR spectroscopy to analyze protein dynamics under varying pressure
HDX-MS (hydrogen-deuterium exchange mass spectrometry) to map pressure-sensitive regions
Comparative Structural Biology:
Parallel structural studies of MetN from pressure-adapted and pressure-sensitive organisms
Analysis of structural differences in ATP-binding pockets, dimer interfaces, and regulatory domains
Identification of specific amino acid substitutions responsible for pressure adaptation
Structure-Based Computational Approaches:
Molecular dynamics simulations under varying pressure conditions
Free energy calculations to determine energetic contributions to pressure stability
Evolutionary analysis to identify positively selected residues in piezophiles
Methodological Development:
Establishing protocols for membrane protein crystallization under pressure
Developing specialized equipment for structural biology under pressure
Creating reporter systems for conformational changes under pressure
The crystal structure of the E. coli MetNI transporter at 2.95 Å resolution provides a valuable template for comparative structural studies, enabling identification of specific adaptations in the P. profundum homolog.
Rigorous experimental controls are critical for research involving recombinant P. profundum MetN:
Negative Controls:
Inactive mutants (e.g., Walker A/B mutations) to verify specific enzymatic activity
Empty vector controls for expression studies
Heat-denatured protein for binding and activity assays
Inhibitor-treated samples (e.g., vanadate for ATPase inhibition)
Positive Controls:
Well-characterized ABC transporters (e.g., E. coli MetN) tested under identical conditions
Commercial ATPases for standard curve generation in activity assays
Previously validated protein preparations as batch-to-batch controls
System-Specific Controls:
Atmospheric pressure controls for all high-pressure experiments
Pressure-sensitive protein controls (e.g., E. coli proteins) in parallel with P. profundum MetN
Thermal stability controls at different pressures to distinguish pressure effects from temperature effects
Methodological Controls:
Multiple buffer conditions to ensure results aren't buffer-specific
Varied protein concentrations to identify concentration-dependent artifacts
Different expression systems to verify native folding and function
Storage condition controls (fresh vs. frozen protein)
Validation Approaches:
Orthogonal methods for key measurements
Multiple substrate analogs to confirm specificity patterns
Replication across multiple protein preparations
In vivo validation of key findings using genetic approaches
A systematic control strategy should be documented in a form similar to this validation matrix:
| Parameter | Control Type | Expected Outcome | Interpretation if Failed |
|---|---|---|---|
| ATPase activity | Walker A mutant (K45A) | <5% of wild-type activity | Non-specific phosphate contamination |
| Pressure response | E. coli MetN | Decreased activity with pressure | Equipment/methodology issue |
| Substrate specificity | No substrate | Basal activity only | Non-specific stimulation |
| Protein folding | CD spectroscopy | Characteristic secondary structure | Misfolding during purification |
| Transport function | Liposomes without protein | No substrate accumulation | Membrane leakage |
Investigating interactions between MetN and other components of the methionine transport system requires a multi-faceted experimental design:
Protein-Protein Interaction Studies:
Co-immunoprecipitation of tagged components from native membranes
Bacterial two-hybrid assays for interaction mapping
FRET-based interaction studies in reconstituted systems
Cross-linking mass spectrometry to identify interaction interfaces
Surface plasmon resonance (SPR) for binding kinetics between purified components
Functional Coupling Analysis:
ATPase stimulation assays in the presence of MetI and MetQ components
Transport assays in proteoliposomes with systematically varied component ratios
Thermodynamic coupling measurements using ITC
Pressure-dependent alterations in component interactions
Structural Approaches:
Cryo-EM of the complete transporter complex
Cross-linking followed by structural analysis
Hydrogen-deuterium exchange mass spectrometry to map interaction surfaces
Comparative structural analysis of isolated components versus complexes
Genetic Approaches:
Construction of P. profundum strains with mutations in different transporter components
Synthetic lethality screening to identify genetic interactions
Suppressor mutation analysis to identify compensatory adaptations
Similar to the approach used for studying fabD and pfaA synthetic lethality in P. profundum SS9
Chimeric Protein Analysis:
Domain swapping between P. profundum and E. coli components
Creation of hybrid transporters to identify critical interaction determinants
Heterologous expression systems to test cross-species component compatibility
Analogous to experiments demonstrating that heterologous expression of P. profundum SS9 Pfa synthase could complement E. coli fabD mutations
The experimental design should be informed by successful genetic manipulation strategies previously employed in P. profundum, including the use of suicide vectors like pRL271 for gene deletion and complementation studies .
Researchers working with recombinant P. profundum MetN may encounter several challenges:
Low Expression Yields:
Problem: Deep-sea proteins often express poorly in standard systems
Solution: Optimize codons for expression host; use specialized strains like ArcticExpress; reduce expression temperature to 15-20°C; try autoinduction media; consider high-pressure expression systems for proper folding
Protein Insolubility:
Problem: Formation of inclusion bodies
Solution: Express as fusion protein with solubility tags (MBP, SUMO); co-express with chaperones; use mild detergents (0.05% DDM or LMNG) during lysis; try on-column refolding approaches
Loss of Activity During Purification:
Problem: Protein loses ATPase activity during purification
Solution: Include stabilizing agents (5-10% glycerol, 1-2 mM ATP); reduce purification time; maintain low temperature throughout; avoid freeze-thaw cycles; consider adding lipids to stabilize membrane-associated regions
Pressure-Related Structural Changes:
Problem: Protein may adopt non-native conformations at atmospheric pressure
Solution: Perform key characterization steps under moderate pressure (10-30 MPa); validate findings using pressure-stable and pressure-sensitive controls; consider rapid analysis immediately after decompression
Aggregation During Storage:
Problem: Protein aggregates during storage
Solution: Add stabilizing agents; store at higher concentrations (>1 mg/ml); avoid freezing if possible; if freezing is necessary, flash-freeze in liquid nitrogen with cryoprotectants; aliquot to avoid repeated freeze-thaw cycles
The table below summarizes troubleshooting strategies for common issues:
| Issue | Diagnostic Signs | Potential Causes | Solutions |
|---|---|---|---|
| Poor expression | Low band intensity on SDS-PAGE | Codon bias; toxicity; improper folding | Codon optimization; lower temperature; specialized strains |
| Loss of activity | Decreased ATPase activity | Cofactor loss; oxidation; misfolding | Include ATP, Mg²⁺; add reducing agents; optimize buffer |
| Aggregation | Increased light scattering; elution in void volume | Hydrophobic exposure; improper folding | Add mild detergents; include stabilizers; optimize ionic strength |
| Proteolysis | Multiple bands on SDS-PAGE | Contaminating proteases; flexible regions | Include protease inhibitors; remove flexible regions; keep cold |
| Pressure denaturation | Activity loss after pressure treatment | Inadequate pressure adaptation | Mutational analysis; buffer optimization; pressure/temperature mapping |
Comprehensive validation of recombinant P. profundum MetN requires multiple complementary approaches:
Structural Validation:
Circular dichroism (CD) spectroscopy to verify secondary structure content
Thermal denaturation profiles to assess stability
Size exclusion chromatography coupled with multi-angle light scattering (SEC-MALS) to verify oligomeric state
Limited proteolysis patterns to assess domain organization
Intrinsic fluorescence spectroscopy to examine tertiary structure
Functional Validation:
ATPase activity measurements under various conditions
Nucleotide binding assays (ITC, fluorescence-based)
Transport assays in reconstituted systems
Response to known modulators (substrate, inhibitors)
Pressure-dependent activity profiles
Comparative Validation:
Direct comparison with native protein (if available)
Comparison with homologous proteins under identical conditions
Verification that activity patterns correlate with physiological conditions (e.g., optimal activity at 28-30 MPa pressure)
Similar methodological approach to that used for validating P. profundum SS9 motility at different pressures
In vivo Validation:
Specific Controls for Pressure Adaptation:
Comparative pressure stability versus pressure-sensitive homologs
Pressure-activity profiles matching organismal growth optima
Reversibility of pressure effects on structure and function
A systematic validation approach should demonstrate that the recombinant protein exhibits the expected pressure-optimized characteristics observed in other P. profundum proteins, such as maintained function at pressures up to 150 MPa as seen with the flagellar motility system .
Research on pressure effects requires specialized equipment and technical considerations:
High-Pressure Enzymatic Assay Systems:
High-Pressure Structural Biology Equipment:
High-pressure crystallography setup
Pressure-adapted NMR tubes and equipment
Diamond anvil cells for spectroscopic studies
Pressure-compatible sample holders for cryo-EM
Specialized Biochemical Equipment:
High-pressure stopped-flow apparatus
Pressure-resistant fluorescence cuvettes
Systems for sample extraction under pressure
Equipment for maintaining pressure during protein purification
Safety and Control Systems:
Pressure monitoring and control systems
Safety shields and containment systems
Automated pressure relief mechanisms
Calibration standards for pressure measurements
Additional Specialized Resources:
High-pressure growth chambers for expressing protein under native-like conditions
Pressure-cycling incubators for adaptation studies
Computational resources for molecular dynamics under pressure
Equipment for measuring physical properties (volume, compressibility) under pressure
An example setup for high-pressure enzymatic studies would include:
Stainless steel pressure vessel with sapphire windows
Fiber optic spectrophotometer probe
Temperature control system (±0.1°C)
Pressure generation system (hydraulic pump or gas compressor)
Pressure transducer and data acquisition system
Sample cell with mixing capability
Safety pressure relief valve
This specialized equipment represents a significant investment but is essential for accurately characterizing the pressure-adapted properties of P. profundum MetN and comparing them with pressure-sensitive homologs.