KEGG: tth:TT_C0088
STRING: 262724.TTC0088
PSCVT, encoded by the aroA gene, catalyzes the transfer of the enolpyruvyl moiety from phosphoenolpyruvate (PEP) to shikimate-3-phosphate (S3P), forming 5-enolpyruvylshikimate-3-phosphate (EPSP) and inorganic phosphate. This represents a critical step in the shikimate pathway, which is essential for the biosynthesis of aromatic amino acids in bacteria, fungi, and plants. The enzyme undergoes a significant conformational change from an open to closed form during substrate binding, which is critical for its catalytic function .
For expression of thermostable T. thermophilus aroA, consider using a pET vector system in E. coli BL21(DE3) with the following modifications:
Optimize codon usage for E. coli while maintaining the amino acid sequence
Include a C-terminal His6-tag for purification, avoiding N-terminal tags that might interfere with folding
Culture at 37°C until OD600 reaches 0.6-0.8, then induce with 0.5-1.0 mM IPTG
Continue expression at 30°C for 4-6 hours to balance yield with proper folding
For higher purity preparations, consider heat treatment at 65°C for 20 minutes post-lysis to precipitate E. coli proteins while retaining the thermostable T. thermophilus aroA
Validate expression using SDS-PAGE and Western blotting with anti-His antibodies, and confirm enzyme activity using a phosphate release assay with S3P and PEP substrates.
A multi-step purification protocol optimized for thermostable enzymes is recommended:
Lyse cells in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, and 20 mM imidazole
Centrifuge at 20,000 × g for 30 minutes at 4°C
Heat treatment: 65°C for 20 minutes to precipitate host proteins
Ni-NTA affinity chromatography: Apply supernatant to pre-equilibrated column
Wash with increasing imidazole concentrations (50 mM, 100 mM)
Elute with 250 mM imidazole
Size exclusion chromatography using Superdex 200 in 25 mM Tris-HCl pH 7.5, 150 mM NaCl
Concentrate to 2-5 mg/ml and store with 10% glycerol at -80°C
This protocol typically yields >95% pure protein with specific activity of approximately 15-20 μmol/min/mg when assayed at 60°C.
T. thermophilus PSCVT demonstrates significantly higher thermal stability compared to mesophilic homologs. Differential Scanning Fluorimetry (DSF) reveals that unliganded T. thermophilus PSCVT exhibits a melting temperature (Tm) of approximately 53°C, which increases substantially to 61.7°C upon binding its substrate, shikimate 3-phosphate (S3P) . This 8°C shift indicates enhanced thermostability in the substrate-bound state.
For comparative thermal stability analysis, the following protocol is recommended:
| Method | Parameters | Data Collection | Analysis Approach |
|---|---|---|---|
| DSF | 25-95°C at 1°C/min | Fluorescence at 610 nm | Boltzmann sigmoid fitting |
| Circular Dichroism | 25-95°C at 1°C/min | Ellipticity at 222 nm | Fraction unfolded calculation |
| Intrinsic Fluorescence | 25-95°C at 1°C/min | Emission at 330/350 nm ratio | First derivative peak |
| Activity Assay | Pre-incubation at various temperatures | Residual activity measurement | T50 determination |
When comparing thermal stability between T. thermophilus PSCVT and mesophilic homologs, it's essential to maintain identical buffer conditions (pH, ionic strength, additives) across all samples to ensure valid comparisons.
Several structural features likely contribute to the thermostability of T. thermophilus aroA:
Increased number of salt bridges
Higher proportion of charged amino acids on the protein surface
Reduced number of thermolabile residues
Compact packing of hydrophobic core
Increased proline content in loop regions
To investigate these features experimentally:
Homology modeling and molecular dynamics simulations: Generate models at different temperatures to identify stabilizing interactions
Site-directed mutagenesis: Target residues suspected to contribute to thermostability based on:
Surface charge clusters
Core packing residues
Loop regions
Hydrogen-deuterium exchange mass spectrometry (HDX-MS): Measure local stability and flexibility differences between wild-type and mutants
Differential scanning calorimetry (DSC): Quantify thermodynamic parameters (ΔH, ΔS, ΔG) of unfolding
X-ray crystallography: Determine high-resolution structures in both open and closed conformations to visualize conformational changes during substrate binding, similar to the approach used for other T. thermophilus proteins
In vivo studies for aroA essentiality in T. thermophilus can be designed based on approaches used for similar enzymes in other organisms. The methodology should include:
Gene disruption strategy:
Construct a plasmid containing a selectable marker (e.g., kanamycin resistance) flanked by DNA sequences homologous to regions upstream and downstream of the aroA gene
Transform into T. thermophilus using natural competence or electroporation
Select for transformants on media containing the appropriate antibiotic
Validation of disruption:
PCR verification of gene disruption
RT-PCR to confirm absence of aroA transcript
Western blotting to verify absence of protein (if antibodies are available)
Phenotypic analysis:
Complementation studies:
The conformational transition from an open to closed form during substrate binding is a critical aspect of PSCVT function . To investigate this:
X-ray crystallography:
Crystallize PSCVT in both apo and substrate-bound forms
Analyze structural differences, focusing on active site architecture
Consider soaking experiments with various ligands to capture intermediate states
Small-angle X-ray scattering (SAXS):
Measure solution-state conformational changes
Analyze radius of gyration (Rg) changes upon substrate binding
Generate low-resolution envelope models for different states
Förster resonance energy transfer (FRET):
Introduce fluorescent probes at strategic positions (via cysteine mutagenesis)
Monitor distance changes during substrate binding in real-time
Determine kinetics of conformational change
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Compare deuterium uptake profiles of apo and substrate-bound states
Identify regions with altered solvent accessibility
Map conformational dynamics onto structural models
Molecular dynamics simulations:
Simulate transition between open and closed conformations
Calculate energy barriers for conformational changes
Identify key residues involved in the transition
When designing enzyme kinetics experiments for thermophilic T. thermophilus aroA:
Temperature optimization:
Conduct initial velocity studies at multiple temperatures (50-80°C)
Determine temperature optima for catalytic efficiency (kcat/Km)
Ensure temperature stability of substrates throughout the assay duration
Buffer considerations:
Use buffers with minimal temperature-dependent pH changes (e.g., HEPES)
Adjust pH at the assay temperature, not room temperature
Include thermostable additives for enzyme stabilization if needed
Assay methods:
Continuous assays: Coupled enzyme systems must use thermostable coupling enzymes
Discontinuous assays: Quench reactions rapidly to prevent post-reaction activity
Consider using sealed capillary tubes or high-pressure vessels for temperatures above 80°C
Data analysis:
Apply appropriate temperature corrections to extinction coefficients
Use Arrhenius plots to determine activation energy
Compare kinetic parameters across the temperature range to identify potential shifts in rate-limiting steps
To study inhibitor interactions with T. thermophilus PSCVT:
Thermal shift assays:
Enzyme inhibition assays:
Determine IC50 values at optimal enzyme temperature
Analyze inhibition patterns (competitive, non-competitive, uncompetitive)
Generate Dixon plots and Lineweaver-Burk plots for mechanism determination
Isothermal titration calorimetry (ITC):
Measure binding thermodynamics (ΔH, ΔS, ΔG)
Determine binding stoichiometry
Conduct experiments at multiple temperatures to calculate ΔCp
Surface plasmon resonance (SPR):
Real-time binding kinetics (kon, koff)
Test temperature dependence of binding interactions
Evaluate residence time of inhibitors at different temperatures
To determine if aroA is essential in T. thermophilus:
Gene deletion approach:
Growth medium supplementation:
Test growth in minimal medium with and without aromatic amino acids
Determine if supplementation can rescue deletion phenotype
Quantify growth rates under various supplementation conditions
In vivo survival assay:
Metabolomic analysis:
Profile metabolite changes in conditional mutants upon depletion
Focus on shikimate pathway intermediates
Identify potential metabolic bypass routes if present
When encountering discrepancies in thermal stability measurements:
Standardize experimental conditions:
Ensure consistent protein concentration across methods
Verify buffer composition is identical between experiments
Maintain consistent scan rates for thermal ramping
Method-specific considerations:
DSF: Test multiple dyes (SYPRO Orange, ThT) and concentrations
CD: Ensure sufficient signal-to-noise at higher temperatures
Activity assays: Account for substrate stability at elevated temperatures
Data normalization approaches:
Use multiple reference points for baseline corrections
Apply protein-specific normalization factors based on molecular weight and extinction coefficients
Consider derivative analysis instead of raw data for transition midpoint determination
Statistical validation:
Perform at least triplicate measurements
Apply appropriate statistical tests (ANOVA, t-tests) to evaluate significance of differences
Report confidence intervals alongside Tm values
Essential controls for in vivo studies include:
Genetic controls:
Growth condition controls:
Rich versus minimal media comparisons
Temperature range testing (standard and stress conditions)
Various carbon source utilization
Phenotypic validation:
Verification of growth defects by multiple methods (plate count, optical density, ATP measurement)
Metabolite profiling to confirm pathway disruption
Protein expression verification by Western blot
Experimental design considerations:
For successful crystallization of T. thermophilus PSCVT:
Initial screening strategy:
Sparse matrix screens at multiple temperatures (4°C, 18°C, 30°C)
Test both apo and substrate-bound forms
Vary protein concentration (5-15 mg/ml)
Optimization approaches:
Fine-tune promising conditions by varying pH (±0.5 units), precipitant concentration (±5%), and additive concentrations
Consider seeding techniques from initial microcrystals
Test crystallization with and without His-tag (or after tag removal)
Co-crystallization strategy:
For substrate complex: Incubate with S3P at 2-5× Km concentration
For inhibitor complexes: Use concentration at 3-5× IC50
Consider stability of complexes at crystallization temperature
Data collection considerations:
Test multiple cryoprotectants (glycerol, ethylene glycol, sucrose at 15-25%)
Consider room-temperature data collection for thermostable proteins
Collect complete datasets with redundancy >4 to ensure data quality
Comparative analysis between thermophilic and mesophilic PSCVT homologs provides valuable insights for protein engineering:
Although aroA encodes an enzyme rather than an RNA-binding protein, understanding potential RNA interactions in the broader T. thermophilus system can provide valuable research context. Based on methodologies used for other T. thermophilus proteins like Hera :
Enhanced Cross-Linking and Immunoprecipitation (eCLIP):
RNA electrophoretic mobility shift assay (EMSA):
Test binding of purified protein to candidate RNA transcripts
Analyze complex formation through gel mobility shifts
Determine binding affinity through titration experiments
RNA footprinting:
Use chemical or enzymatic probes to identify protected RNA regions
Map binding sites at nucleotide resolution
Compare footprints under various conditions (temperature, salt)
Fluorescence anisotropy:
Label RNA with fluorescent dye
Measure changes in anisotropy upon protein binding
Determine binding constants at different temperatures
Translational research methodologies can bridge basic aroA enzyme studies with practical applications:
Mixed methods approach:
Participatory research models:
Qualitative methodologies for application assessment:
Translational indicators:
For robust analysis of thermal stability data:
Non-linear regression models:
Fit thermal denaturation curves to Boltzmann sigmoid equation
Use four-parameter logistic models for complex transitions
Apply Bayesian analysis for datasets with high variability
Comparative statistical tests:
ANOVA with post-hoc tests for multiple condition comparisons
Paired t-tests for before/after substrate addition experiments
Non-parametric alternatives (Mann-Whitney, Kruskal-Wallis) for non-normally distributed data
Error analysis:
Report standard error of Tm determination
Use bootstrap resampling for confidence interval estimation
Perform sensitivity analysis for fitting parameters
Data visualization:
Create thermal shift plots showing raw data points and fitted curves
Generate comparative bar charts with error bars for Tm values
Use statistical software (R, GraphPad Prism) for consistent analysis