KEGG: ppr:PBPRA0227
STRING: 298386.PBPRA0227
Glycerol-3-phosphate dehydrogenase (gpsA) in P. profundum plays a critical role in glycerol metabolism, particularly in the conversion of dihydroxyacetone phosphate to glycerol-3-phosphate (G3P). This enzyme is essential for maintaining G3P homeostasis, which appears to be important for bacterial growth and adaptation to different environmental conditions. Similar to what has been observed in Pseudomonas aeruginosa, proper G3P homeostasis likely influences growth rates, stress responses, and potentially adaptation to the deep-sea environment characteristic of P. profundum . In P. profundum SS9, a deep-sea piezophilic ("pressure-loving") bacterium belonging to the Vibrionaceae family, metabolic adaptation to high pressure environments may involve regulation of glycerol metabolism pathways .
For optimal expression of recombinant P. profundum gpsA, researchers should consider the following methodological approach:
Vector selection: Choose an expression vector with an appropriate promoter system that allows for controlled induction (such as pET vectors with T7 promoter)
Host strain optimization: Select an E. coli strain optimized for recombinant protein expression (BL21(DE3), Rosetta, or Arctic Express for cold-adapted proteins)
Temperature considerations: Given that P. profundum is a psychrotolerant organism capable of growth at temperatures from 0°C to 25°C , lower expression temperatures (15-20°C) may improve proper folding
Media composition: Include osmolytes or salt in the growth medium, as P. profundum has a requirement for salt
Induction parameters: Use lower IPTG concentrations (0.1-0.5 mM) and longer induction times at reduced temperatures
A methodological table for optimization:
| Parameter | Recommended Range | Considerations |
|---|---|---|
| Temperature | 15-20°C | P. profundum is psychrotolerant (0-25°C) |
| Media | LB + 2-3% NaCl | Salt requirement for native conditions |
| IPTG | 0.1-0.5 mM | Lower concentrations reduce inclusion body formation |
| Induction time | 16-24 hours | Longer at lower temperatures |
| OD600 at induction | 0.4-0.6 | Mid-log phase optimal for expression |
P. profundum SS9 is a moderately piezophilic bacterium capable of growth at pressures from 0.1 MPa to 70 MPa . This adaptation to high-pressure environments likely influences the structural and kinetic properties of its enzymes, including gpsA. When studying P. profundum gpsA, researchers should consider:
Pressure-dependent activity assays: Measure enzyme activity across a range of hydrostatic pressures (0.1-70 MPa) using specialized high-pressure equipment to determine optimal pressure for activity
Comparative kinetics: Compare kinetic parameters (Km, Vmax, kcat) of P. profundum gpsA with homologs from non-piezophilic organisms at different pressures
Structural stability analysis: Evaluate protein stability using circular dichroism, differential scanning calorimetry, or intrinsic fluorescence under varying pressure conditions
Molecular dynamics simulations: Use computational approaches to predict structural changes and substrate binding under high pressure
Research indicates that adaptations to high-pressure environments typically involve modifications to maintain flexibility and function of proteins under compression. Based on studies of other piezophilic organisms, P. profundum gpsA may exhibit specific amino acid substitutions or structural features that confer pressure resistance without compromising catalytic efficiency .
While specific structural information about P. profundum gpsA is not provided in the search results, structural adaptations likely include:
To investigate these features, researchers could employ X-ray crystallography, cryo-electron microscopy, or SAXS (small-angle X-ray scattering) to determine the structure under different pressure conditions. Site-directed mutagenesis of key residues followed by activity and stability testing could identify crucial amino acids for pressure adaptation.
G3P homeostasis likely plays a critical role in P. profundum adaptation to deep-sea environments through multiple mechanisms. Drawing parallels from studies in other bacteria like P. aeruginosa, where G3P homeostasis has been shown to be important for growth and virulence factor production , we can hypothesize that:
Membrane composition modification: G3P is a precursor for phospholipid biosynthesis, and membrane composition is critical for adaptation to high pressure environments
Energy metabolism regulation: G3P serves as an important metabolic intermediate linking glycolysis and oxidative phosphorylation
Osmoregulation: G3P may function as a compatible solute under high-pressure, low-temperature conditions
Stress response: Similar to what has been observed in P. aeruginosa, proper G3P concentration may influence oxidative stress tolerance
Research approaches to investigate this question should include:
Creation of gpsA mutants in P. profundum with subsequent growth and metabolomic analysis at different pressures
Transcriptomic profiling of wild-type and gpsA mutants under varying pressure conditions
Lipidomic analysis to determine changes in membrane composition in response to pressure and gpsA mutation
Based on the search results, ToxR in P. profundum SS9 has been identified as necessary for pressure-responsive gene expression . To determine if gpsA is regulated by ToxR:
Comparative transcriptomics: RNA sequencing of wild-type and toxR mutant strains at different pressures could reveal if gpsA expression is ToxR-dependent
RNA arbitrarily primed PCR (RAP-PCR): This technique has successfully identified ToxR-regulated genes in P. profundum SS9
Promoter analysis: Identification of potential ToxR binding sites in the gpsA promoter region through bioinformatic analysis and DNA-binding assays
Reporter gene assays: Construction of gpsA promoter-reporter fusions to monitor expression in wild-type and toxR mutant backgrounds
Previous studies have identified seven ToxR-activated transcripts and one ToxR-repressed transcript in P. profundum SS9, with the regulated genes falling into categories related to membrane structure alteration and starvation response . If gpsA is indeed regulated by ToxR, this would suggest a coordinated response linking glycerol metabolism to membrane composition adaptation under different pressure conditions.
For successful purification of active recombinant P. profundum gpsA, a methodical approach should include:
Affinity tag selection: His6-tag is commonly used, but consider alternative tags (MBP, GST) if solubility issues arise
Cold purification: Conduct all purification steps at 4-10°C to maintain stability of this psychrotolerant enzyme
Buffer optimization: Include:
Osmolytes (glycerol 5-10%, NaCl 100-300mM)
Reducing agents (DTT or β-mercaptoethanol) to protect cysteine residues
pH optimization (typically pH 7.0-8.0)
Stabilizing cofactors (NAD+ or NADP+)
Chromatographic steps:
IMAC (Immobilized Metal Affinity Chromatography) as initial capture step
Ion exchange chromatography for intermediate purification
Size exclusion chromatography as polishing step
Activity preservation: Add glycerol (20-30%) to storage buffer and store at -80°C in small aliquots
A suggested purification protocol based on the properties of P. profundum:
| Step | Conditions | Purpose |
|---|---|---|
| Cell lysis | French press or sonication in buffer with 300mM NaCl, 50mM Tris-HCl pH 8.0, 10% glycerol, 1mM DTT | Release protein while maintaining stability |
| IMAC | Ni-NTA column with imidazole gradient (20-300mM) | Initial capture |
| Dialysis | Overnight against 50mM Tris-HCl pH 8.0, 150mM NaCl, 5% glycerol, 0.5mM DTT | Remove imidazole |
| Ion exchange | Q-Sepharose column with NaCl gradient (50-500mM) | Remove contaminants |
| Size exclusion | Superdex 200 in 25mM Tris-HCl pH 7.5, 100mM NaCl, 10% glycerol, 1mM DTT | Final polishing |
| Storage | Add glycerol to 30%, flash freeze in liquid N2, store at -80°C | Long-term stability |
To accurately measure P. profundum gpsA activity under varying pressure conditions, researchers should consider the following methodological approaches:
Spectrophotometric assays under pressure:
Use specialized high-pressure optical cells connected to a spectrophotometer
Monitor NAD(P)H formation/consumption at 340 nm
Calculate activity by determining the rate of absorbance change
Stopped-flow techniques for rapid kinetics:
Conduct reactions under pressure, then rapidly decompress for measurement
Useful for determining initial reaction rates
High-pressure enzyme reactors:
Conduct reactions in pressure vessels, removing samples at defined intervals
Analyze product formation using HPLC or coupled enzyme assays
Fluorescence-based assays:
Utilize fluorescent NAD(P)H or fluorescently-labeled substrates
Can be more sensitive than absorbance measurements
Nuclear Magnetic Resonance (NMR) spectroscopy:
Use high-pressure NMR tubes to monitor reactions in real-time
Provides detailed information about reaction intermediates
Standardized assay conditions for meaningful comparisons:
| Parameter | Recommendation | Rationale |
|---|---|---|
| Temperature | 15°C | Approximates deep-sea conditions |
| Pressure range | 0.1-70 MPa | Covers P. profundum natural range |
| Buffer system | HEPES or PIPES (50mM, pH 7.5) | Minimal pressure-induced pH changes |
| Substrate concentration | 0.1-2.0 mM G3P or DHAP | Span range for Km determination |
| Cofactor concentration | 0.1-1.0 mM NAD(P)+ or NAD(P)H | Ensure non-limiting conditions |
| Controls | Heat-inactivated enzyme | Account for non-enzymatic changes |
When encountering discrepancies between in vitro and in vivo findings related to P. profundum gpsA function, researchers should systematically evaluate:
Environmental context differences:
Methodological considerations:
Evaluate whether experimental conditions (buffer composition, pH, temperature, pressure) adequately mimic cellular conditions
Consider if enzyme modifications during purification (tags, truncations) affect function
Biological complexity factors:
Data interpretation framework:
Develop integrated models that account for both in vitro and in vivo observations
Use systems biology approaches to contextualize enzymatic data within metabolic networks
Resolution strategies include:
Refining in vitro conditions to better mimic in vivo environment
Developing cell-free extract assays as intermediate between purified enzymes and whole cells
Using genetic approaches (point mutations rather than gene deletions) for more nuanced in vivo studies
Employing metabolomics to track G3P levels and related metabolites in vivo
When working with P. profundum gpsA, researchers may encounter several technical challenges:
Protein solubility issues:
Challenge: Recombinant expression may lead to inclusion body formation
Solution: Lower induction temperature (15-18°C), use solubility-enhancing tags (MBP, SUMO), include osmolytes in buffer
Enzyme stability concerns:
Challenge: Loss of activity during purification or storage
Solution: Maintain cofactors (NAD(P)+) in all buffers, include stabilizing agents (glycerol, trehalose), avoid freeze-thaw cycles
Assay interference:
Challenge: Spectrophotometric assays at 340nm may have background interference
Solution: Carefully design controls, consider alternative assay methods (fluorescence-based, HPLC)
Pressure equipment limitations:
Challenge: Specialized high-pressure equipment may be limited or costly
Solution: Collaborate with geophysics or food science departments that routinely use high-pressure systems, develop simplified pressure application methods
Expression host compatibility:
Challenge: E. coli may not properly fold psychrophilic/piezophilic proteins
Solution: Consider cold-adapted expression hosts or cell-free systems
Troubleshooting table for common issues:
| Problem | Possible Causes | Solutions |
|---|---|---|
| Low expression yield | Codon bias, toxicity | Optimize codons, use Rosetta strain, controlled induction |
| Inactive enzyme | Improper folding, cofactor loss | Include cofactors in lysis buffer, try refolding protocols |
| Aggregation during purification | Hydrophobic interactions, improper buffer | Add detergents (0.05% Triton X-100), optimize salt concentration |
| Inconsistent activity measurements | Temperature fluctuation, oxidation | Strict temperature control, add reducing agents |
| Rapid activity loss | Protease contamination, instability | Add protease inhibitors, optimize storage conditions |
To systematically compare P. profundum gpsA with homologs from other organisms for understanding pressure-adaptation mechanisms, researchers should employ a multi-faceted approach:
Phylogenetic analysis:
Construct robust phylogenetic trees of gpsA homologs from diverse bacteria
Classify organisms by habitat (deep-sea, shallow marine, terrestrial)
Identify instances of convergent evolution in pressure adaptation
Comparative biochemistry:
Measure enzymatic parameters at various pressures for multiple homologs:
Km, Vmax, kcat at pressures from 0.1 to 100 MPa
Activation volumes (ΔV‡) calculated from pressure effects on kinetics
Pressure stability profiles (P50 - pressure at which 50% activity remains)
Structural comparison:
Analyze amino acid composition differences (especially charged vs. hydrophobic residues)
Compare volume and compressibility of enzymes
Examine differences in secondary structure elements and flexibility
Molecular dynamics simulations:
Model behavior of different homologs under pressure
Identify regions with differential responses to pressure
Calculate volume fluctuations and compressibility
Experimental validation:
Create chimeric enzymes by domain swapping between homologs
Use site-directed mutagenesis to introduce "pressure-adaptive" features into non-piezophilic homologs
Test predictions from computational analysis with experimental measurements
A comprehensive comparative framework might include:
| Analysis Type | Key Parameters | Expected Outcomes |
|---|---|---|
| Sequence-based | Amino acid composition, charge distribution, flexibility indices | Identification of signature patterns correlated with depth/pressure adaptation |
| Structural analysis | Void volumes, salt bridges, disulfide bonds, surface properties | Structural features that maintain function under pressure |
| Kinetic analysis | Pressure dependence of kcat/Km, activation volumes | Quantitative metrics of pressure adaptation |
| Thermodynamic analysis | ΔG, ΔH, ΔS, ΔV of folding and catalysis | Energetic basis of pressure adaptation |
| Evolutionary analysis | Selection pressure, convergence, adaptive mutations | Evolutionary pathways to pressure adaptation |
Understanding the molecular basis of pressure adaptation in P. profundum gpsA could enable several biotechnological applications:
Biocatalysis under high-pressure conditions:
Development of pressure-stable enzymatic processes for industrial applications
Enhanced reactions where high pressure improves selectivity or yield
Design of biocatalysts for deep-sea natural product synthesis
Protein engineering principles:
Identification of structural motifs that confer pressure stability
Application of these principles to enhance stability of industrially relevant enzymes
Creation of design rules for developing pressure-resistant proteins
Environmental biotechnology:
Development of biosensors for deep-sea environments
Engineered microorganisms for bioremediation in high-pressure environments
Tools for studying deep-sea microbial communities
Fundamental research tools:
Pressure as a perturbation tool to study protein dynamics and function
Pressure-stable enzymes as model systems for biophysical studies
New insights into protein-solvent interactions under extreme conditions
The study of P. profundum gpsA may reveal molecular adaptations that could be transferred to other enzymes, potentially enabling industrial processes at high pressures where reaction rates or selectivity may be enhanced . The mechanisms elucidated might also inform our understanding of how life adapts to extreme environments, contributing to both fundamental knowledge and applied biotechnology.
Despite advances in understanding P. profundum biology, significant research gaps remain regarding glycerol metabolism in piezophilic bacteria:
Regulatory networks:
Metabolic flux distribution:
How carbon flux through glycerol pathways changes under different pressures
Integration of glycerol metabolism with central carbon metabolism under pressure
Energetic consequences of pressure on metabolic efficiency
Comparative metabolism:
Differences in glycerol metabolism between piezophilic, piezotolerant, and piezosensitive organisms
Evolutionary convergence/divergence in metabolic adaptations to pressure
Role of horizontal gene transfer in acquisition of pressure-adapted metabolic genes
Systems-level understanding:
How G3P homeostasis affects global cellular function under pressure
Metabolomic profiles across pressure gradients
Integration of transcriptomic, proteomic, and metabolomic data
Future research directions should include:
Development of genetic systems for P. profundum to enable more sophisticated in vivo studies
Application of high-throughput approaches to study pressure effects on metabolism
Integration of experimental data with computational modeling to predict metabolic adaptations
To effectively investigate the role of P. profundum gpsA in pressure adaptation, researchers should design experiments that systematically address multiple levels of biological organization:
Genetic approaches:
Physiological characterization:
Growth curves at various pressures (0.1-70 MPa) and temperatures (0-25°C)
Membrane composition analysis under different pressure regimes
Stress response characterization (oxidative, osmotic stress tolerance)
Biochemical analysis:
Enzyme activity assays across pressure range
Protein stability measurements under pressure
Interaction studies with potential protein partners
Systems biology approaches:
Transcriptomics comparing wild-type and gpsA mutants at different pressures
Metabolomics focusing on glycerol-related metabolites
Flux analysis using isotope labeling
Experimental design considerations should include: