This protein synthesizes selenophosphate from selenide and ATP.
KEGG: ppr:PBPRA2592
STRING: 298386.PBPRA2592
Selenide, water dikinase (EC 2.7.9.3), also known as selenophosphate synthetase, is an enzyme that catalyzes the following chemical reaction:
ATP + selenide + H₂O → AMP + selenophosphate + phosphate
This reaction requires three substrates (ATP, selenide, and water) and produces three products (AMP, selenophosphate, and phosphate). The enzyme belongs to the transferase family, specifically phosphotransferases with paired acceptors (dikinases). The systematic name for this enzyme class is ATP:selenide, water phosphotransferase. It plays a critical role in selenoamino acid metabolism pathways in various organisms .
The reaction mechanism involves the transfer of phosphate groups from ATP, ultimately producing selenophosphate, which serves as the activated selenium donor for the biosynthesis of selenocysteine and other selenocompounds essential for selenium metabolism.
Photobacterium profundum, particularly the SS9 strain, represents a unique model system for studying enzyme function under extreme conditions. As a deep-sea bacterium adapted to high-pressure environments (barophilic organism), P. profundum has evolved molecular mechanisms to maintain enzymatic activity and protein stability under conditions that would typically denature proteins from surface-dwelling organisms .
The selD enzyme from P. profundum likely contains structural adaptations that enable function under high hydrostatic pressure conditions. This makes it particularly valuable for:
Understanding pressure adaptations in enzyme catalysis
Studying the evolution of extremophile metabolism
Exploring the mechanistic relationship between pressure and selenium metabolism
Developing biotechnological applications requiring pressure-stable enzymes
Additionally, P. profundum has been studied for its ability to grow under high-pressure conditions, with genomic libraries and mutant screens revealing important insights into pressure-adapted cellular processes, potentially including selenium metabolism .
When expressing recombinant P. profundum selD in heterologous systems, researchers should consider several factors to optimize expression:
Expression System Selection:
E. coli-based expression systems are commonly used, but care must be taken as the introduction of foreign genes like selD from P. profundum can have dramatic effects on host physiology, particularly under pressure conditions .
Consider pressure-adapted expression systems for maintaining native enzyme conformations.
Culture Conditions:
Temperature: Generally lower than standard (15-20°C) to mimic deep-sea conditions
Pressure: Consider using specialized high-pressure bioreactors for expression
Media composition: Include selenium supplementation (typically as sodium selenite)
Induction parameters: Lower IPTG concentrations and longer induction times
Expression Optimization Table:
| Parameter | Standard Condition | Optimized for P. profundum selD |
|---|---|---|
| Temperature | 37°C | 15-20°C |
| Pressure | Atmospheric | 280 atm when possible |
| Induction | 1.0 mM IPTG, 4-6 hrs | 0.1-0.5 mM IPTG, 12-24 hrs |
| Media supplements | Standard LB | LB + 1-10 μM sodium selenite |
| Host strain | BL21(DE3) | BL21(DE3) with chaperone co-expression |
Purification Considerations:
Include reducing agents in buffers to maintain selenide groups
Consider pressure effects on protein folding and activity
Implement rapid purification protocols to minimize oxidation
Researchers should validate expression through activity assays specific to selenophosphate synthetase rather than relying solely on SDS-PAGE visualization .
Measuring selenide, water dikinase activity presents several methodological challenges due to the reactive nature of the substrates and products. The following approaches can be implemented:
Direct Activity Assays:
Coupled Enzyme Assays - Monitor AMP production through coupled enzyme reactions
Selenophosphate Quantification - Measure selenophosphate formation using:
Atomic absorption spectroscopy with hydride generation
ICP-MS for selenium detection
31P-NMR spectroscopy for phosphate transfer
Indirect Assessment Methods:
Selenium Volatilization Assays - Similar to those used for bacterial isolates in selenium bioremediation studies:
Activity Measurement Protocol:
Prepare reaction mixture containing ATP, selenide, and appropriate buffers
Initiate reaction by adding purified enzyme
Incubate at desired temperature and pressure conditions
Terminate reaction at specific time points
Quantify products using techniques mentioned above
Key Considerations:
Maintain anaerobic conditions to prevent selenide oxidation
Include appropriate controls for non-enzymatic reactions
Account for pressure effects on reaction kinetics when relevant
Standard curves should be prepared under identical conditions
Investigating selD function under high-pressure conditions requires specialized equipment and methodologies:
High-Pressure Experimental Systems:
Pressure Bioreactors - For whole-cell studies of recombinant systems
High-Pressure Stopped-Flow Devices - For rapid kinetic measurements
Diamond Anvil Cells - For spectroscopic studies under extreme pressure
Experimental Approaches:
Comparative Analysis - Compare selD activity from P. profundum with homologs from non-barophilic organisms under varying pressures.
Mutational Studies - Identify pressure-adaptive residues through site-directed mutagenesis and activity assays.
Structural Biology - Use high-pressure X-ray crystallography or NMR to determine structural changes under pressure.
Pressure-Effect Investigation Protocol:
Establish baseline activity at atmospheric pressure
Measure activity across a pressure gradient (e.g., 1, 100, 200, 280 atm)
Determine pressure stability by pre-incubating enzyme at high pressure before activity measurements
Assess reversibility by returning to atmospheric pressure and re-measuring activity
Control Considerations:
Include pressure-sensitive and pressure-resistant control enzymes
Account for pressure effects on pH and substrate solubility
Design equipment that allows sampling without decompression when possible
Researchers should note that P. profundum growth is pressure-dependent, with some strains showing altered growth characteristics at elevated pressures (280 atm). Similar methodologies used in the study of RecD function under high pressure can be adapted for selD research .
The role of selenide, water dikinase (selD) in P. profundum reflects important adaptations for selenium utilization in the deep sea:
Ecological Significance:
Deep-sea environments may contain varying levels of selenium, and efficient selenium metabolism would provide selective advantages.
The ability to produce selenophosphate is essential for incorporating selenium into proteins as selenocysteine.
High-pressure adaptations of selD likely ensure continued function in the deep-sea habitat.
Metabolic Pathway Integration:
SelD catalyzes a key step in selenium assimilation, converting selenide to selenophosphate.
Selenophosphate serves as an activated selenium donor for selenocysteine incorporation.
This pathway connects to broader aspects of cell metabolism, including:
Redox homeostasis
Protection against oxidative stress
Energy metabolism through selenoprotein function
Barophilic Adaptations:
Structural features likely allow the enzyme to maintain appropriate conformational flexibility under high pressure.
Possible coordination with other pressure-adapted cellular components, similar to the RecD system which shows pressure-dependent function in P. profundum .
Research Implications:
Understanding selD function in deep-sea bacteria provides insights into selenium biogeochemical cycling in marine environments.
The enzyme may have evolved unique catalytic properties optimized for high-pressure conditions.
Comparative studies with surface-dwelling organisms could reveal molecular mechanisms of pressure adaptation in enzyme catalysis.
The potential application of selD-containing extremophiles like P. profundum in selenium bioremediation presents an intriguing research direction:
Bioremediation Context:
Selenium contamination is a significant environmental concern, particularly in agricultural drainage water and certain industrial effluents.
Biological volatilization of selenium compounds represents a promising bioremediation approach, converting toxic selenate to less harmful volatile forms .
Extremophile Advantages:
P. profundum, as a barophilic organism with selenide, water dikinase activity, could potentially be engineered for enhanced selenium processing.
Extremophiles often show superior tolerance to toxic conditions, making them candidates for bioremediation of challenging environments.
The ability to function under extreme conditions (high pressure, variable salinity) could expand the range of treatable environments.
Comparative Performance Metrics:
Comparing P. profundum with established selenium-volatilizing bacteria:
| Organism | Se Volatilization Rate | Tolerance | Optimal Conditions |
|---|---|---|---|
| Halomonas-like strain MPD-51 | 1.65 μg Se g protein⁻¹ h⁻¹ | 2M selenate, 32.5% NaCl | Hypersaline, aerobic |
| P. profundum (theoretical) | To be determined | High pressure tolerance | Deep-sea, variable pressure |
Research Directions:
Engineer recombinant P. profundum with enhanced selD expression
Test selenium volatilization rates under various environmental conditions
Develop bioreactors capable of maintaining optimal conditions for selenium processing
Evaluate the ecological safety of engineered strains in potential release scenarios
The special adaptation of P. profundum to high-pressure environments may provide unique advantages for specialized bioremediation applications where traditional approaches are insufficient .
Understanding the relationship between selD mutations and phenotypes in P. profundum provides insights into both selenium metabolism and pressure adaptation:
Mutation Impact Analysis:
Similar to RecD mutations that affect high-pressure growth in P. profundum, selD mutations likely impact both selenoprotein synthesis and possibly pressure adaptation .
Point mutations creating premature stop codons would truncate the protein and potentially eliminate enzymatic activity.
Mutations affecting the active site would impact catalytic efficiency while potentially preserving structural integrity.
Phenotypic Consequences:
Selenium Metabolism Defects:
Reduced selenophosphate production
Impaired selenoprotein synthesis
Altered selenium tolerance profiles
Pressure-Related Phenotypes:
Potentially altered growth rates under high pressure
Changes in cell morphology or membrane characteristics
Modification of gene expression patterns under pressure
Experimental Approach for Mutation Studies:
Generate selD mutants through:
Targeted gene disruption
Point mutations at conserved residues
3' truncations of varying lengths
Characterize mutants through:
Growth curves at various pressures (1 atm vs. 280 atm)
Selenoprotein profiling
Selenium tolerance testing
Complementation studies with wild-type selD
Complementation Analysis:
Similar to studies with RecD in P. profundum, complementation tests with selD would be valuable:
Delivering wild-type selD into mutant strains should restore selenophosphate synthetase activity
The degree of phenotypic rescue may depend on the nature and location of the original mutation
Introduction of P. profundum selD into E. coli selD mutants could reveal pressure-adaptive properties of the enzyme
When analyzing selD activity data under variable pressure conditions, researchers should employ robust statistical approaches that account for the unique challenges of pressure biology research:
Recommended Statistical Frameworks:
Repeated Measures ANOVA with pressure as the within-subject factor
Appropriate for tracking activity changes across multiple pressure points
Can incorporate additional factors such as temperature or pH
Post-hoc tests (e.g., Tukey's HSD) to identify significant pressure thresholds
Non-Linear Regression Models for pressure-activity relationships
Fit pressure-response curves to identify:
Optimal pressure for activity (Popt)
Pressure range tolerance (ΔP50)
Pressure inactivation constants
Mixed-Effects Models for complex experimental designs
Accommodate random effects from batches or biological replicates
Handle missing data points common in high-pressure experimentation
Appropriate for longitudinal pressure studies
Data Normalization Considerations:
Normalize activity to protein concentration
Consider pressure effects on assay components and adjust baseline accordingly
Apply appropriate transformations (log, square root) to meet statistical assumptions
Statistical Visualization Approaches:
Pressure-activity profiles with confidence intervals
3D surface plots for multi-factor experiments (pressure × temperature × pH)
Forest plots for comparing pressure effects across different selD variants
Sample Size and Power Analysis:
Conduct a priori power analysis specific to pressure biology experiments
Account for typically higher variability in high-pressure measurements
Consider sequential analysis approaches to optimize resource-intensive pressure experiments
These statistical approaches should be implemented with careful consideration of the experimental design used in single-case experimental designs (SCEDs) when working with limited biological samples .
Reconciling contradictions between in vitro and in vivo studies of recombinant selD requires systematic analysis of potential sources of discrepancy:
Common Sources of Discrepancy:
Environmental Context Differences
In vitro: Isolated enzyme in defined buffer
In vivo: Complex cellular environment with multiple interacting systems
Resolution approach: Develop intermediate complexity systems (e.g., cell extracts, reconstituted systems)
Pressure-Dependent Protein-Protein Interactions
selD may interact with different partners under varying pressure conditions
These interactions may be disrupted in purified systems
Resolution approach: Co-purification and activity assays with potential interaction partners
Post-Translational Modifications
Different modification patterns between expression systems
Pressure-induced modification changes
Resolution approach: Comprehensive proteomic analysis of native and recombinant selD
Reconciliation Framework:
| Data Type | Observation | Reconciliation Approach |
|---|---|---|
| In vitro kinetics | Higher Km than expected | Assess buffer effects, substrate availability |
| In vivo activity | Lower than predicted | Examine regulatory mechanisms, evaluate cellular selenium pools |
| Pressure response | Different in vitro vs. in vivo | Investigate cellular components that modify pressure response |
Integration Strategies:
Systems Biology Approach
Develop mathematical models integrating both datasets
Identify missing components explaining discrepancies
Design targeted experiments to test model predictions
Iterative Refinement Protocol
Begin with simplest in vitro conditions
Gradually increase system complexity toward in vivo conditions
Identify transition points where discrepancies emerge
Multimodal Validation
Complement activity data with structural information
Correlate protein dynamics with function under pressure
Use genetic approaches to validate biochemical findings
This reconciliation process should incorporate principles from experimental design in systems biology, where dynamic behavior analysis and careful stimulation-observation pairing are essential .
Conducting cross-species comparisons of selD function in pressure-adapted bacteria requires careful methodological considerations:
Experimental Design Principles:
Phylogenetically Informed Sampling
Include barophilic, barotolerant, and pressure-sensitive species
Consider evolutionary relationships when interpreting functional differences
Include multiple strains within each species to account for strain variation
Standardized Functional Assays
Develop consistent protocols applicable across species
Account for optimal growth conditions of each organism
Normalize activity to appropriate reference parameters
Comparative Expression Systems
Express selD genes from different species in the same host
Create chimeric proteins to identify pressure-adaptive domains
Evaluate performance across a pressure gradient
Key Analysis Approaches:
Structure-Function Correlation
Align selD sequences across pressure-adapted species
Identify amino acid substitutions in pressure-adapted variants
Correlate specific residues with pressure tolerance parameters
Comparative Pressure Adaptation Metrics
P₅₀: Pressure at which 50% activity is retained
Pmax: Maximum pressure supporting activity
Recovery ratio: Activity recovery after pressure treatment
Volume change of activation (ΔV‡): Thermodynamic parameter of pressure sensitivity
Data Presentation Framework:
| Species | Habitat Pressure | selD Activity Pmax | Key Adaptive Residues | Volume Change (ΔV‡) |
|---|---|---|---|---|
| P. profundum | 280 atm | To be determined | To be identified | To be measured |
| Surface species | 1 atm | Typically lower | Different conservation pattern | Generally larger |
Integration with Genomic Approaches:
Correlate selD sequence variations with genomic signatures of pressure adaptation
Consider horizontal gene transfer events in evolutionary interpretation
Examine synteny and operon structure across species
This comparative approach follows principles established in single-case experimental designs (SCEDs) research, allowing for meaningful cross-species comparisons even with limited sample availability .
Researchers face several significant technical challenges when working with recombinant P. profundum selD:
P. profundum, like some RecD mutants, may exhibit plasmid stability issues
Solution approaches:
Use low-copy number expression vectors
Employ integrative expression systems
Implement selection pressure throughout cultivation
Regularly verify plasmid retention through PCR
Extremophile proteins often misfold when expressed in mesophilic hosts
Solution approaches:
Co-express molecular chaperones
Utilize fusion partners (MBP, SUMO) to enhance solubility
Express at lower temperatures (15-20°C)
Consider cell-free expression systems
Working with selenide can be toxic to expression hosts
Solution approaches:
Use selenium-tolerant host strains
Implement tight expression control
Optimize selenium concentration in media
Consider inducible detoxification pathways
Standard expression systems operate at atmospheric pressure
Solution approaches:
Develop pressure-adapted expression hosts
Utilize pressure bioreactors for expression
Employ post-expression pressure treatment
Design pressure-stable expression vectors
SelD enzyme activity can be lost during conventional purification
Solution approaches:
Rapid purification protocols
Include stabilizing agents in buffers
Maintain reducing conditions throughout
Consider affinity purification under anaerobic conditions
Optimization Protocol:
Begin with small-scale expression trials varying key parameters
Implement DoE (Design of Experiments) approach to optimize conditions
Develop activity-based screening methods to track functional protein
Consider native purification from P. profundum as a reference standard
Designing effective mutagenesis studies to elucidate pressure-adaptive features of selD requires a strategic approach:
Mutagenesis Strategy Framework:
Sequence-Based Targeting
Compare selD sequences across barophilic and non-barophilic organisms
Identify residues unique to pressure-adapted variants
Create point mutations converting "pressure-adapted" residues to "surface-type" residues
Focus on:
Charged amino acid distributions
Flexibility-conferring regions
Hydrogen bonding networks
Structure-Guided Approach
Model P. profundum selD structure using homology modeling
Identify cavities that may be affected by pressure
Target residues involved in conformational flexibility
Focus on regions showing pressure-dependent movements
Systematic Domain Swapping
Create chimeric proteins combining domains from pressure-adapted and non-adapted selD
Evaluate pressure tolerance of each chimera
Narrow down to smaller regions and eventually specific residues
Experimental Validation Hierarchy:
| Mutation Type | Approach | Expected Outcome | Analysis Method |
|---|---|---|---|
| Conservative substitutions | Alter side chain size while maintaining chemistry | Subtle effects on pressure tolerance | Detailed kinetic analysis |
| Non-conservative substitutions | Change chemical properties | Major effects on pressure adaptation | Activity assays at various pressures |
| Truncations | Remove domains | Identify pressure-essential regions | Complementation studies |
| Random mutagenesis | Generate mutation libraries | Unbiased discovery of pressure-adaptive features | High-throughput screening |
Evaluation Framework:
Assay enzymatic activity across pressure gradients (1-500 atm)
Determine pressure stability profiles for each variant
Measure thermodynamic parameters (ΔV‡) for pressure-sensitive steps
Correlate structural features with functional outcomes
This mutagenesis strategy incorporates principles from research on RecD function in P. profundum, where specific mutations affected high-pressure growth phenotypes .
Designing high-pressure experiments for studying recombinant selD kinetics requires attention to several specialized considerations:
Equipment Selection and Validation:
Pressure Generation Systems
Hydraulic pressure generators for biochemical studies
Gas compression systems for whole-cell studies
Diamond anvil cells for spectroscopic investigations
Reaction Vessel Requirements
Material compatibility with high pressure
Optical access for real-time measurements
Temperature control integration
Sample introduction without depressurization
Experimental Design Parameters:
Pressure Range Determination
Include native habitat pressure (280 atm for P. profundum)
Extend beyond natural range to determine limits
Use logarithmic pressure increments for efficient sampling
Time-Resolved Measurements
Plan sampling intervals appropriate for reaction kinetics
Consider pressure equilibration times
Account for potential pressure effects on reaction rates
Critical Control Measures:
System Calibration
Use pressure-sensitive fluorophores to verify actual sample pressure
Include internal pressure standards
Verify pressure homogeneity throughout reaction vessel
Buffer Considerations
Account for pressure effects on pH (typically 0.014 pH units/100 atm)
Consider pressure effects on ionization equilibria
Use pressure-insensitive buffer systems when possible
Data Collection Optimization:
| Parameter | Atmospheric Condition | High-Pressure Adaptation |
|---|---|---|
| Reaction initiation | Manual mixing | Pressure-triggered mixing systems |
| Sampling | Direct withdrawal | Remote sampling through capillaries |
| Analysis | Standard methods | Pressure-compatible detection systems |
| Time resolution | Standard intervals | Adjusted for pressure effects on kinetics |
Technical Challenges and Solutions:
Challenge: Pressure effects on assay components
Solution: Determine pressure effects on each component independently
Challenge: Limited sample volume in pressure vessels
Solution: Miniaturize assays and utilize high-sensitivity detection
Challenge: Maintaining pressure during measurements
Solution: Develop in situ measurement capabilities
These considerations align with established practices in high-pressure biochemistry and build upon methodologies used for studying pressure-adapted systems like those in P. profundum .
Several cutting-edge technologies are poised to revolutionize our understanding of selD function in extremophiles like P. profundum:
Advanced Structural Biology Approaches:
Cryo-Electron Microscopy Under Pressure
Capturing selD structures in near-native pressure environments
Visualizing pressure-induced conformational changes
Resolving dynamic structural ensembles
Time-Resolved X-ray Crystallography
Capturing catalytic intermediates of selD
Pressure-jump experiments to trigger conformational changes
Mapping the energy landscape of pressure adaptation
High-Pressure NMR Spectroscopy
Monitoring protein dynamics under variable pressure
Mapping pressure-dependent hydrogen bonding networks
Characterizing millisecond-timescale motions relevant to catalysis
Genomic and Systems Biology Technologies:
Single-Cell Transcriptomics Under Pressure
Revealing pressure-dependent expression patterns
Identifying co-regulated genes in selenium metabolism
Mapping regulatory networks involving selD
CRISPR-Cas9 Engineering of Barophiles
Precise genome editing of P. profundum
Creating selD variant libraries in native contexts
High-throughput phenotyping under pressure
Computational and Simulation Approaches:
Molecular Dynamics at Variable Pressure
Simulating selD behavior across pressure gradients
Identifying water penetration and cavity changes
Calculating energetics of pressure adaptation
Machine Learning for Pressure Adaptation Prediction
Training on known pressure-adapted enzymes
Predicting critical residues for pressure tolerance
Designing novel pressure-adapted selD variants
Enabling Technologies Table:
| Technology | Current Limitation | Future Potential |
|---|---|---|
| High-pressure bioreactors | Limited throughput | Miniaturized arrays for parallel experiments |
| In situ activity assays | Restricted to simple readouts | Real-time multiparametric monitoring |
| Pressure proteomics | Sample complexity | Single-cell resolution under variable pressure |
| Synthetic biology tools | Limited for extremophiles | Expanded genetic toolkits for barophiles |
These emerging technologies will enable researchers to move beyond the current limitations in studying pressure-adapted enzymes like selD in P. profundum, potentially leading to breakthroughs in understanding extreme environment adaptation mechanisms.
Comparative genomics offers powerful approaches for understanding pressure-adapted selD variants in deep-sea bacteria:
Genomic Comparison Frameworks:
Phylogenomic Analysis
Construct selD phylogenetic trees across marine depth gradients
Identify convergent evolution patterns in pressure-adapted lineages
Correlate selD sequence variations with habitat depth
Synteny and Operon Structure Analysis
Compare genomic context of selD across pressure-adapted species
Identify co-evolved genes that may function with selD under pressure
Analyze regulatory elements controlling selD expression
Horizontal Gene Transfer Assessment
Investigate potential HGT events of selD between barophiles
Identify mobile genetic elements associated with pressure-adapted selD variants
Analyze codon usage patterns to detect recent transfer events
Sequence-Structure-Function Correlations:
| Sequence Feature | Potential Pressure Adaptation Function | Analysis Approach |
|---|---|---|
| Charged residue distribution | Stabilize protein volume under pressure | Statistical analysis across depth gradients |
| Packing density | Minimize void volumes susceptible to pressure | Structural modeling and cavity analysis |
| Flexibility-conferring motifs | Enable function despite pressure constraints | Molecular dynamics simulation |
| Surface hydration sites | Maintain essential water interactions | Comparative hydration site analysis |
Integration with Experimental Data:
Connect genomic features with experimental pressure tolerance data
Validate computational predictions through targeted mutagenesis
Develop predictive models of selD pressure adaptation
Implementation Strategy:
Create a comprehensive database of selD sequences from marine bacteria across depth gradients
Develop specialized bioinformatic pipelines for pressure adaptation analysis
Correlate genomic features with habitat depth and measured pressure tolerance
Generate testable hypotheses about critical pressure-adaptive features
This comparative genomics approach would build upon knowledge gained from studies of pressure-adapted proteins in organisms like P. profundum, where specific genes have been identified as critical for high-pressure growth .
Research on pressure-adapted selD enzymes from organisms like P. profundum presents several promising biotechnological applications:
Biocatalysis Under Extreme Conditions:
High-Pressure Enzymatic Processes
Leverage pressure-adapted selD for reactions requiring high pressure
Develop biocatalytic processes with improved thermodynamics under pressure
Create enzyme cascades functioning in deep-sea conditions
Selenium Biotransformation
Engineer pressure-adapted selD for improved selenium bioconversion
Develop processes for pharmaceutical-grade selenocompound production
Create robust systems for selenoprotein synthesis
Environmental Applications:
Advanced Bioremediation Technologies
Develop engineered organisms with enhanced selenium detoxification
Create pressure-tolerant bioremediation systems for deep-sea contamination
Design selenium recovery systems for resource extraction
Biosensors for Extreme Environments
Utilize selD-based systems to detect selenium in high-pressure environments
Develop pressure-stable biosensors for deep-sea monitoring
Create robust detection systems for environmental selenium speciation
Biomedical Applications:
Therapeutic Selenoprotein Production
Utilize pressure-adapted selD for improved selenoprotein synthesis
Develop expression systems for difficult-to-produce selenoproteins
Create novel selenium-containing therapeutic compounds
High-Pressure Protein Folding Assistance
Apply knowledge of pressure adaptation to protein folding problems
Develop pressure-cycling protocols for difficult protein refolding
Create pressure-tolerant chaperone systems
Comparison of Potential Applications:
| Application Area | Current Technology Limits | Potential Advantage of P. profundum selD |
|---|---|---|
| Industrial biocatalysis | Pressure sensitivity of enzymes | Stable activity under high pressure |
| Selenium bioremediation | Limited efficiency in extreme environments | Function in challenging conditions |
| Selenoprotein production | Inefficient selenium incorporation | Enhanced selenophosphate synthesis |
| Deep-sea biotechnology | Limited enzyme toolkit | Native adaptation to target environment |
Development Pathway:
Fundamental characterization of pressure effects on selD
Engineering optimized variants for specific applications
Scale-up and integration into relevant technological processes
Field testing in actual extreme environments
These applications represent the translational potential of basic research on extremophile enzymes like the selD from P. profundum, potentially creating new biotechnological capabilities for operating under extreme conditions .