KEGG: ppr:PBPRA2109
STRING: 298386.PBPRA2109
PurR in P. profundum likely functions as a transcriptional repressor involved in regulating purine metabolism genes, similar to its homolog in Bacillus subtilis. The repressor typically controls genes involved in purine synthesis, transport, and metabolism by binding to specific DNA sequences (PurBoxes) in the upstream control regions of affected genes. In B. subtilis, the PurR-PurBox system regulates transcription of genes encoding enzymes for synthesis of IMP from PRPP (α-d-5-phosphoribosyl-1-pyrophosphate) and synthesis of AMP from IMP . Given the conservation of this regulatory system across many bacteria, P. profundum PurR likely serves a similar function but may exhibit adaptations related to deep-sea high-pressure environments.
Based on crystallographic studies of B. subtilis PurR, these proteins are typically organized as dimers with two primary domains. The C-terminal domain belongs to the phosphoribosyltransferase (PRT) structural family and contains a binding site for the inducer PRPP. The N-terminal domain belongs to the winged-helix family of DNA binding proteins and is responsible for specific interaction with regulatory DNA sequences . The winged-helix domain presents a positively charged surface that likely binds specific DNA sequences in the recognition site, while another positively charged surface surrounds the PRPP binding site at the opposite end of the dimer . This structural arrangement enables PurR to function as a repressor that responds to PRPP levels.
P. profundum is a piezophilic (pressure-loving) bacterium that has evolved numerous adaptations for life in the deep sea. Although not specifically studied for PurR, pressure adaptation in P. profundum proteins often involves modifications that maintain protein flexibility and function under high hydrostatic pressure . These adaptations may include changes in amino acid composition to stabilize protein structure while maintaining necessary flexibility for conformational changes during DNA and effector binding. Given that P. profundum can maintain functionality at pressures up to 150 MPa , its PurR protein likely contains specific sequence and structural adaptations that preserve DNA-binding and regulatory functions under these extreme conditions.
For effective recombinant expression of P. profundum PurR, researchers should consider:
Expression host selection: E. coli BL21(DE3) strains are typically suitable for initial attempts, but given the high GC content often found in marine bacterial genes, codon optimization may be necessary.
Vector design: A pET-based vector containing a 6×His tag for purification is recommended, with optimization of the promoter strength to prevent formation of inclusion bodies.
Expression conditions: Low-temperature induction (16-18°C) with reduced IPTG concentration (0.1-0.5 mM) often enhances solubility of recombinant proteins from piezophilic bacteria.
Co-expression strategy: Consider co-expression with chaperones (GroEL/GroES) that can assist proper folding of piezophilic proteins when expressed at atmospheric pressure.
To validate expression, perform small-scale test expressions analyzing samples by SDS-PAGE and Western blotting using anti-His antibodies before scaling up production.
Investigating PurR-DNA interactions under high pressure requires specialized approaches:
When designing experiments, it's crucial to include appropriate controls using mesophilic PurR proteins (e.g., from E. coli) that would show pressure sensitivity, as comparative references. The experimental design should systematically evaluate binding at different pressure points (0.1, 30, 60, 90, 120, and 150 MPa) to establish a comprehensive pressure-response profile.
Crystallizing P. profundum PurR presents unique challenges due to its adaptation to high pressure environments. A systematic approach should include:
Protein preparation: Ensure extremely high purity (>95%) through multiple chromatography steps (affinity, ion exchange, and size exclusion).
Stability screening: Before crystallization attempts, conduct thermal shift assays to identify buffer conditions that maximize protein stability.
Crystallization strategies:
Conventional screening at atmospheric pressure with commercial sparse matrix screens
Specialized high-pressure crystallization chambers for trials at 30-50 MPa
Co-crystallization with DNA fragments containing putative PurBox sequences
Co-crystallization with PRPP, which likely serves as the inducer
Crystal handling: Crystals formed under high pressure should be carefully transitioned to atmospheric pressure to prevent damage.
For structure determination, consider multi-wavelength anomalous dispersion (MAD) phasing with selenomethionine-labeled protein, similar to the approach used for B. subtilis PurR . Analysis should focus on identifying structural features that contribute to pressure adaptation by comparison with mesophilic homologs.
To identify PurR binding sites (PurBoxes) in the P. profundum genome, employ a multi-faceted approach:
Bioinformatic prediction: Perform genome-wide searches using position weight matrices derived from known bacterial PurR binding motifs. In B. subtilis, PurBoxes are found upstream of genes involved in purine metabolism , providing a starting template.
Chromatin immunoprecipitation sequencing (ChIP-seq): Using antibodies against recombinant P. profundum PurR, perform ChIP-seq under varying pressure conditions (atmospheric vs. high pressure) to identify pressure-dependent binding patterns.
DNase I footprinting: Conduct protection assays on candidate promoter regions to precisely define the boundaries of PurR binding sites.
Electrophoretic mobility shift assays (EMSA): Confirm direct binding of recombinant PurR to predicted binding sites and determine binding affinities under different pressure conditions.
Reporter gene assays: Construct transcriptional fusions with predicted PurR-regulated promoters to verify functional repression in vivo.
Comparing results from these complementary approaches will provide a robust map of the PurR regulon in P. profundum and reveal how it may differ from mesophilic bacteria.
A systematic mutagenesis approach should target residues in both the DNA-binding and PRPP-binding domains:
Homology-based targeting: Align P. profundum PurR with B. subtilis PurR and identify conserved residues in the winged-helix domain and around the PRPP binding site . These represent primary targets for mutagenesis.
Pressure-specific adaptation targeting: Identify amino acids unique to P. profundum PurR when compared to mesophilic homologs, particularly focusing on residues that might confer pressure resistance.
Mutant design strategy:
Alanine scanning of conserved regions
Conservative substitutions (e.g., Lys→Arg) to assess charge requirements
Non-conservative substitutions to test functional hypotheses
Introduction of residues from mesophilic PurR proteins to test pressure adaptation
Functional assays for mutants:
DNA binding assays at various pressures
PRPP binding assays to determine affinity changes
Structural stability assessments under pressure
This approach will identify residues critical for DNA binding, PRPP interaction, and pressure adaptation, providing insights into the molecular mechanisms of PurR function in deep-sea environments.
Comparative analysis of PurR proteins from various pressure-adapted bacteria reveals evolutionary patterns:
When conducting comparative studies, researchers should:
Perform phylogenetic analysis of PurR sequences from bacteria inhabiting different depth zones
Analyze selection pressures on different domains using dN/dS ratios
Conduct ancestral sequence reconstruction to identify key evolutionary transitions
Compare pressure stability profiles across homologs experimentally
Such analyses will reveal convergent and divergent adaptations to high-pressure environments among PurR proteins.
To effectively compare pressure effects on PurR activity across species:
DNA binding assays under pressure:
Fluorescence anisotropy measurements using labeled DNA containing PurBox sequences
High-pressure electrophoretic mobility shift assays
Surface plasmon resonance with pressure cells
Structural stability assays:
Intrinsic fluorescence monitoring under variable pressure
FTIR spectroscopy at high pressure to track secondary structure changes
Limited proteolysis to assess conformational changes under pressure
Functional assays:
In vitro transcription assays under variable pressure conditions
Reporter gene assays in pressure-adaptable expression systems
Binding kinetics:
Stopped-flow measurements with pressure jumps to determine association/dissociation rates
Isothermal titration calorimetry under pressure
These assays should be performed across a pressure range (0.1-150 MPa) similar to that used in motility studies with P. profundum , with temperature controlled to isolate pressure effects from temperature effects.
Developing a high-pressure in vitro transcription system presents several technical challenges:
Equipment limitations:
Need for specialized high-pressure vessels with optical access
Requirement for pressure-resistant connections for reagent addition
Challenge of maintaining consistent temperature during pressure changes
Biochemical considerations:
Pressure effects on RNA polymerase activity independent of PurR
Altered buffer properties (pH shifts) under pressure
Changed reaction kinetics affecting optimal template and enzyme concentrations
Experimental design:
Need for pressure-stable fluorescent reporters for real-time monitoring
Requirement for appropriate controls to distinguish direct pressure effects from PurR-mediated effects
Challenge of sample recovery for analysis without decompression artifacts
To address these challenges, researchers should:
Adapt high-pressure microscopic chambers similar to those used for motility studies in P. profundum
Include control transcription templates not regulated by PurR
Develop a staged approach starting with atmospheric pressure validation before introducing pressure variables
Accurately measuring PRPP binding to PurR under high pressure requires specialized techniques:
High-pressure fluorescence approaches:
Intrinsic tryptophan fluorescence if residues are proximal to the binding site
Site-directed labeling with pressure-stable fluorophores near the PRPP binding site
Fluorescent PRPP analogs with similar binding properties
Isothermal titration calorimetry (ITC) under pressure:
Specialized high-pressure ITC cells
Systematic correction for pressure-dependent heat effects
Comparative analysis with mesophilic PurR proteins
Surface plasmon resonance with pressure cell:
Immobilize PurR and measure PRPP binding kinetics
Determine pressure effects on association and dissociation rates
Compare with structural homologs from mesophilic bacteria
Equilibrium dialysis with pressure treatment:
Pre-equilibrate PRPP-PurR binding under pressure
Rapid sample processing after decompression
Control experiments to account for decompression effects
These methods should be calibrated using known PRPP-binding proteins with established pressure responses to ensure accuracy of measurements under extreme conditions.
When confronting discrepancies between in vitro and in vivo results:
Systematic analysis of differences:
Compare precise pressure conditions between experiments
Evaluate buffer composition differences that might affect pressure responses
Consider cellular factors absent in vitro (molecular crowding, interacting proteins)
Modified experimental approaches:
Develop cell extracts retaining cellular complexity for in vitro studies
Use cellular reporter systems designed to isolate PurR effects
Conduct parallel experiments with mesophilic PurR to establish baseline pressure effects
Integrated data analysis framework:
Develop mathematical models incorporating both datasets
Weight observations based on experimental robustness
Identify specific conditions where discrepancies arise
Validation strategies:
Design hybrid experiments bridging in vitro and in vivo conditions
Perform genetic manipulations to test specific hypotheses arising from discrepancies
Use structural biology approaches to directly observe conformational states
Careful consideration of these factors will help resolve apparent contradictions and develop a more complete understanding of pressure effects on PurR function.
For robust statistical analysis of pressure-dependent binding data:
Model selection:
Use non-linear regression models accounting for cooperative binding
Apply pressure-modified binding equations incorporating volume changes
Compare model fits using Akaike Information Criterion (AIC) to identify optimal models
Experimental design considerations:
Ensure sufficient data points across the pressure range (minimum 6-8 pressure points)
Perform technical replicates (n≥3) and biological replicates (n≥3)
Include appropriate controls for pressure effects on assay components
Advanced statistical approaches:
Bayesian hierarchical modeling to account for experiment-to-experiment variability
Bootstrap resampling to establish confidence intervals for binding parameters
Principal component analysis to identify patterns in multi-parameter datasets
Visualization strategies:
3D surface plots showing binding affinity, pressure, and temperature relationships
Residual plots to identify systematic deviations from models
Comparative visualization with mesophilic control proteins
By applying these statistical approaches, researchers can confidently identify true pressure-dependent effects on PurR binding affinity and distinguish them from experimental artifacts.