Catalyzes the ATP-dependent condensation of pantoate and β-alanine, proceeding via a pantoyl-adenylate intermediate.
KEGG: neu:NE0073
STRING: 228410.NE0073
Nitrosomonas europaea (ATCC 19718) is a gram-negative obligate chemolithoautotroph that derives all its energy and reductant for growth from the oxidation of ammonia to nitrite. It plays a crucial role in the biogeochemical nitrogen cycle through the process of nitrification. Its genome consists of a single circular chromosome of 2,812,094 bp with approximately 2,460 protein-encoding genes averaging 1,011 bp in length . The organism's specialized metabolism makes it an ideal model for studying unique biochemical pathways and enzymes, including pantothenate synthetase.
Pantothenate synthetase (PS), encoded by the panC gene, catalyzes the final step in pantothenate (vitamin B5) biosynthesis. This ATP-dependent reaction involves the condensation of pantoate and β-alanine to form pantothenate . The pantothenate biosynthetic pathway consists of four steps catalyzed by enzymes encoded by panB, panC, panD, and panE genes. Pantothenate is essential as a precursor for coenzyme A (CoA), which plays a central role in numerous metabolic processes including the citric acid cycle, fatty acid metabolism, and various biosynthetic pathways.
Recombinant expression of N. europaea panC allows researchers to study this enzyme's unique properties compared to better-characterized pantothenate synthetases from other organisms. As N. europaea has a specialized metabolism dependent on ammonia oxidation, its pantothenate synthetase may possess distinctive catalytic properties, substrate preferences, or regulatory mechanisms. Recombinant expression facilitates protein purification, structural analysis, and functional characterization that would be difficult to achieve with native enzyme production due to the challenging growth requirements of N. europaea.
While the core pantothenate biosynthesis pathway involving panB, panC, panD, and panE is conserved across many bacterial species, N. europaea's specialized metabolism may influence how this pathway is regulated and integrated with other metabolic networks. The genome analysis of N. europaea reveals that genes encoding transporters for organic molecules are scarce compared to those for inorganic ions , suggesting the organism's preference for autotrophic metabolism. This metabolic specialization may affect how pantothenate biosynthesis is regulated in N. europaea compared to heterotrophic bacteria like E. coli.
For expressing recombinant N. europaea panC, E. coli expression systems typically provide good yields and are experimentally tractable. The choice of expression vector should include an appropriate promoter (such as T7 or tac), affinity tag (such as His6 or GST) for purification, and optimal codon usage for E. coli. Temperature modulation (typically 16-25°C post-induction) often improves soluble protein yield. Alternative expression hosts such as Bacillus subtilis or Pseudomonas species might be considered if E. coli-based expression results in inclusion bodies or inactive protein.
A typical purification strategy would include:
Affinity chromatography (e.g., Ni-NTA for His-tagged protein)
Ion exchange chromatography (based on the protein's theoretical pI)
Size exclusion chromatography for final polishing
Purification buffers should contain components that maintain enzyme stability, potentially including:
pH buffer in the range of 7.0-8.0 (e.g., Tris-HCl or phosphate)
Salt (typically 100-300 mM NaCl)
Reducing agent (e.g., 1-5 mM DTT or β-mercaptoethanol)
Glycerol (10-20%) for long-term storage
Optimization of these conditions should be determined empirically based on enzyme activity and stability assessments.
While specific kinetic data for N. europaea panC is not directly provided in the search results, comparative analysis with other bacterial pantothenate synthetases would typically include parameters such as Km, kcat, and substrate specificity. Based on studies of pantothenate synthetase from other organisms, researchers should:
Determine Km values for ATP, pantoate, and β-alanine
Calculate kcat and catalytic efficiency (kcat/Km)
Assess substrate specificity using pantoate/β-alanine analogs
Evaluate pH and temperature optima
Investigate metal ion dependencies
Comparison of these parameters with those from E. coli, M. tuberculosis, and other bacterial species would provide insights into potential adaptations of N. europaea panC to its specialized metabolism.
Crystal structures of pantothenate synthetase from M. tuberculosis have revealed important insights about the enzyme's structure-function relationship . When studying N. europaea panC, researchers should focus on:
Sequence alignment with characterized pantothenate synthetases to identify conserved and divergent regions
Homology modeling based on available crystal structures (if N. europaea panC structure is undetermined)
Analysis of active site architecture and substrate binding pockets
Assessment of oligomeric state (dimer vs tetramer) as E. coli PS was found to be a dimer in crystal structures but potentially tetrameric in solution
Identification of unique structural elements that might relate to N. europaea's specialized metabolism
Based on studies of E. coli pantothenate synthetase, which exists as a dimer in crystal structures but potentially as a tetramer in solution , researchers should investigate:
The oligomeric state of N. europaea panC using methods such as:
Size exclusion chromatography
Analytical ultracentrifugation
Native PAGE
Cross-linking studies
The functional significance of oligomerization:
Compare activity of monomeric vs oligomeric forms
Identify interface residues through structural analysis
Generate interface mutants to disrupt oligomerization and assess effects on activity
When investigating the catalytic mechanism of N. europaea panC, researchers should consider:
Reaction order analysis:
Determine if the mechanism follows a sequential or ping-pong mechanism
Use initial velocity studies with varying concentrations of substrates
Transition state analysis:
Employ kinetic isotope effects with labeled substrates
Use transition state analogs as inhibitors
Catalytic residue identification:
Site-directed mutagenesis of predicted catalytic residues
pH-rate profiles to identify essential ionizable groups
Intermediate capture:
Use rapid quench techniques to trap reaction intermediates
Employ product analogs that can trap the enzyme in intermediate conformations
The experimental approach should parallel methodologies used for M. tuberculosis pantothenate synthetase, where crystal structures with various ligands (AMPCPP, pantoate, and reaction intermediates) provided insights into the catalytic mechanism .
Several spectroscopic approaches can provide valuable information:
Circular Dichroism (CD):
Secondary structure composition
Thermal stability
Conformational changes upon substrate binding
Fluorescence Spectroscopy:
Intrinsic tryptophan fluorescence for tertiary structure assessment
Ligand binding studies using fluorescence quenching
FRET-based approaches for monitoring conformational changes
Nuclear Magnetic Resonance (NMR):
Backbone dynamics
Substrate binding interactions
Conformational changes during catalysis
X-ray Crystallography:
High-resolution structure determination
Substrate and inhibitor complex structures
Mechanistic insights through intermediate-bound structures
The approach used for M. tuberculosis PS, which involved crystallographic studies with various ligands including AMPCPP, pantoate, and reaction intermediates , provides a valuable template for similar studies with N. europaea panC.
To investigate metal ion requirements for N. europaea panC:
Metal depletion studies:
Dialysis against chelating agents (EDTA, EGTA)
Verification of metal removal by atomic absorption spectroscopy
Metal reconstitution experiments:
Systematic testing of various divalent cations (Mg²⁺, Mn²⁺, Ca²⁺, Zn²⁺)
Determination of metal-dependent activity restoration
Spectroscopic analysis:
Electron paramagnetic resonance (EPR) for paramagnetic metals
Isothermal titration calorimetry (ITC) for metal binding affinity
Structural studies:
Crystallography with and without metal cofactors
Identification of metal coordination sites
Mutagenesis of potential metal-coordinating residues:
Target conserved acidic residues (Asp, Glu) in the active site
Assess activity of mutants with various metal ions
This experimental design would provide comprehensive insights into the metal ion dependency of N. europaea panC and potential differences from other bacterial pantothenate synthetases.
Proper kinetic data analysis involves:
Initial velocity studies:
Plot initial velocity data using Lineweaver-Burk, Eadie-Hofstee, or Hanes-Woolf transformations
Determine kinetic parameters (Km, Vmax) for each substrate
Analyze patterns of intersecting lines to distinguish sequential from ping-pong mechanisms
Product inhibition studies:
Determine inhibition patterns (competitive, noncompetitive, uncompetitive)
Use inhibition patterns to confirm reaction order and mechanism
Global data fitting:
Employ software like DynaFit or KinTek Explorer for simultaneous fitting to multiple models
Use statistical criteria (AIC, BIC) to select the best-fitting model
Isotope effects:
Analyze primary and secondary kinetic isotope effects
Interpret results in terms of rate-limiting steps and transition state structure
Table 1: Comparative Kinetic Parameters for Bacterial Pantothenate Synthetases
| Parameter | E. coli PS | M. tuberculosis PS | N. europaea PS (Predicted) |
|---|---|---|---|
| Km ATP (μM) | 100-300 | 50-150 | To be determined |
| Km Pantoate (μM) | 50-150 | 10-50 | To be determined |
| Km β-alanine (μM) | 200-400 | 100-300 | To be determined |
| kcat (s⁻¹) | 1-5 | 0.5-2 | To be determined |
| Optimal pH | 7.5-8.5 | 7.0-8.0 | To be determined |
| Metal requirement | Mg²⁺ | Mg²⁺ | To be determined |
Note: This table provides representative values based on literature for E. coli and M. tuberculosis PS. N. europaea PS parameters would need to be experimentally determined.
To investigate allosteric regulation:
Substrate saturation curves:
Test for sigmoidal kinetics indicating cooperativity
Calculate Hill coefficients to quantify cooperativity
Perform these studies at various concentrations of potential allosteric effectors
Equilibrium binding studies:
Use isothermal titration calorimetry (ITC) or surface plasmon resonance (SPR)
Compare binding parameters in the presence and absence of potential allosteric modulators
Structural analysis:
Identify potential allosteric sites through structural comparison with related enzymes
Perform crystallography or HDX-MS in the presence of potential allosteric modulators
Mutagenesis of predicted allosteric sites:
Generate mutations at residues in predicted allosteric sites
Assess changes in cooperativity and response to allosteric modulators
Thermal shift assays:
Measure protein stability changes in response to ligand binding
Compare thermostability profiles with and without potential allosteric modulators
When faced with contradictory experimental results:
Methodological reconciliation:
Carefully compare experimental conditions (pH, temperature, buffer components)
Assess protein quality and integrity across different preparations
Consider differences in protein constructs (tags, truncations, fusion partners)
Statistical analysis:
Apply appropriate statistical tests to determine significance of differences
Consider sample sizes and experimental replication
Perform power analysis to ensure adequate statistical power
Integrative analysis:
Combine multiple experimental approaches (kinetic, structural, biophysical)
Look for consistent patterns across different experimental modalities
Use computational modeling to reconcile apparently contradictory data
Experimental design considerations:
While N. europaea itself is not typically a pathogen, research on its pantothenate synthetase could inform drug development against pathogenic bacteria:
Comparative structural analysis:
Identify conserved features between N. europaea panC and pathogenic bacterial homologs
Leverage unique features of N. europaea panC to understand evolutionary adaptation
Inhibitor development workflow:
Virtual screening against N. europaea panC structure
Fragment-based drug design targeting active site or allosteric sites
Structure-activity relationship studies of identified inhibitors
Resistance mechanisms:
Investigate natural variations in panC sequences that confer resistance
Engineer resistance mutations and characterize their effects on enzyme function and inhibitor binding
The approach used for M. tuberculosis PS, which involved crystal structure determination with various ligands and complexes , provides valuable methodology for similar drug discovery efforts.
Integration of panC function into systems-level understanding requires:
Metabolic flux analysis:
Isotope labeling experiments to track carbon flow through pantothenate synthesis pathway
Integration of pantothenate synthesis with ammonia oxidation and carbon fixation pathways
Transcriptomic and proteomic profiling:
RNA-Seq under various growth conditions to assess panC regulation
Proteomic analysis to quantify PanC protein levels and post-translational modifications
Computational modeling:
Incorporate pantothenate synthesis into genome-scale metabolic models of N. europaea
Perform flux balance analysis to predict metabolic responses to environmental changes
Interactome analysis:
Identify protein-protein interactions involving PanC
Characterize potential multienzyme complexes involving pantothenate biosynthesis enzymes
This systems approach would provide context for understanding how N. europaea's specialized metabolism influences pantothenate biosynthesis regulation and integration with other metabolic pathways.
Emerging techniques with potential applications include:
Single-molecule enzymology:
FRET-based approaches to monitor conformational changes during catalysis
Optical tweezers or magnetic tweezers to study mechanical properties
Cryo-electron microscopy:
High-resolution structural determination without crystallization
Time-resolved structures capturing catalytic intermediates
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Mapping conformational dynamics and ligand-induced changes
Identifying allosteric networks within the protein structure
Microfluidics and droplet-based assays:
Ultra-high-throughput screening of enzyme variants
Single-cell analysis of enzyme function in vivo
Computational advances:
Molecular dynamics simulations at extended timescales
Machine learning approaches for predicting enzyme properties and designing variants
These advanced methodologies could provide unprecedented insights into N. europaea panC structure, dynamics, and function that are not accessible through conventional approaches.