Enzymatic Function: pncB belongs to the phosphoribosyltransferase family (EC 2.4.2.11) and facilitates the first committed step of Na to NAD+ conversion, utilizing ATP as a cofactor .
Molecular Structure: The recombinant protein has a predicted molecular weight of 27.5 kDa, based on its amino acid sequence (UniProt ID: A8GCJ6) .
Sequence Homology: The enzyme shares 93% identity with Sm CBP21 from Serratia marcescens and exhibits conserved polar residues critical for substrate binding .
| Amino Acid Sequence Details |
|---|
| UniProt ID |
| Length |
| Molecular Weight |
| Signal Peptide |
Metabolic Pathway Integration: pncB operates synergistically with downstream enzymes in the Preiss-Handler pathway, enabling efficient NAD+ biosynthesis .
Biotechnological Potential: Serratia proteamaculans strains, including 568, are engineered for disease treatment and metabolite production, as described in patent WO2017123676A1 .
Research Relevance: The enzyme serves as a model for studying nucleotide metabolism in gram-negative bacteria .
KEGG: spe:Spro_1732
STRING: 399741.Spro_1732
Serratia proteamaculans Nicotinate phosphoribosyltransferase (pncB) is an enzyme that plays a crucial role in the NAD biosynthesis salvage pathway. It catalyzes the conversion of nicotinic acid (vitamin B3) to nicotinic acid mononucleotide using 5-phosphoribosyl-1-pyrophosphate (PRPP) as a co-substrate. This enzyme is classified with the EC number 2.4.2.11 and is formally known as NAPRTase . In bacterial metabolism, pncB enables cells to recycle nicotinic acid and maintain adequate NAD levels, which is essential for numerous redox reactions and signaling pathways.
For optimal enzyme stability and activity retention, recombinant S. proteamaculans pncB should be stored according to these guidelines:
Store at -20°C for regular use, or at -80°C for extended storage periods .
Avoid repeated freeze-thaw cycles as they can lead to protein denaturation and activity loss .
For reconstitution:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (with 50% being typically recommended) to prevent freeze damage
The commercially available recombinant S. proteamaculans pncB is produced in yeast expression systems , which offers several advantages for functional protein expression. When designing your own expression system for research purposes, consider these methodological approaches:
| Expression System | Advantages | Considerations | Recommended Conditions |
|---|---|---|---|
| Yeast (S. cerevisiae, P. pastoris) | Better protein folding, glycosylation capabilities, secretion options | Longer expression time, more complex media requirements | 28-30°C, induction with methanol (P. pastoris) or galactose (S. cerevisiae) |
| E. coli | Rapid growth, high yield, simple media requirements | May form inclusion bodies, lacks post-translational modifications | 16-37°C, IPTG induction, consider lower temperatures (16-20°C) for solubility |
| Insect cells | Enhanced folding, post-translational modifications | More expensive, technically demanding | 27°C, infection with recombinant baculovirus |
For optimal expression of active pncB:
Include appropriate affinity tags for purification (His-tag is commonly used)
Consider fusion partners (MBP, SUMO) to enhance solubility if encountering inclusion body formation
Optimize codon usage for the expression host
Implement temperature control during induction (lower temperatures often increase soluble protein yield)
A multi-step purification strategy is typically required to achieve the >85% purity observed in commercial preparations :
Initial capture: Affinity chromatography based on the fusion tag
For His-tagged proteins: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Binding buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10-20 mM imidazole
Elution buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 250-500 mM imidazole
Intermediate purification: Ion exchange chromatography
Typically anion exchange (Q-Sepharose) as pncB enzymes often have acidic pI
Buffer: 20 mM Tris-HCl pH 8.0 with gradient elution from 50-500 mM NaCl
Polishing: Size exclusion chromatography
Separates based on molecular size to remove aggregates and achieve final purity
Buffer: 20 mM Tris-HCl pH 7.5, 150 mM NaCl
To maintain activity throughout purification:
Include 1-5 mM β-mercaptoethanol or DTT in all buffers if the protein contains cysteine residues
Add 10% glycerol to enhance stability
Keep samples cold (4°C) throughout the purification process
Consider adding protease inhibitors in the initial lysis buffer
A comprehensive analytical characterization of purified pncB should include multiple complementary techniques:
For activity assays, the phosphoribosyltransferase reaction can be monitored by:
HPLC analysis of substrate consumption or product formation
Spectrophotometric coupled assays linking product formation to NAD+ reduction
Radiometric assays using 14C-labeled nicotinic acid
While specific kinetic parameters for S. proteamaculans pncB are not provided in the available literature, a comprehensive kinetic characterization should include:
| Parameter | Experimental Approach | Typical Range for Bacterial pncB Enzymes |
|---|---|---|
| Km for nicotinic acid | Variable substrate concentration at fixed PRPP and enzyme concentration | 10-100 μM |
| Km for PRPP | Variable PRPP concentration at fixed nicotinic acid and enzyme concentration | 50-300 μM |
| kcat | Measurement of reaction velocity at saturating substrate concentrations | 1-50 s-1 |
| kcat/Km | Calculated from determined Km and kcat values | 104-106 M-1s-1 |
| pH optimum | Activity measurements across pH range 5.0-9.0 | pH 7.0-8.0 |
| Temperature optimum | Activity measurements across temperature range 15-55°C | 30-40°C |
| Divalent cation requirement | Activity measurements with various concentrations of Mg2+, Mn2+, etc. | Typically requires 1-10 mM Mg2+ |
Methodological considerations for accurate kinetic characterization:
Ensure initial velocity conditions (<10% substrate conversion)
Maintain constant ionic strength across pH ranges
Include appropriate controls for each measurement
Use nonlinear regression for fitting to Michaelis-Menten equation
Consider potential substrate inhibition at high concentrations
Structure-function analysis to identify catalytic residues in pncB requires a systematic approach:
Sequence-based analysis:
Structural analysis (if structure available or through homology modeling):
Identification of residues in the putative active site
Computational docking of substrates to predict interaction sites
Molecular dynamics simulations to identify conformational changes
Experimental validation:
Site-directed mutagenesis of predicted catalytic residues
Kinetic characterization of mutant enzymes
Chemical modification studies with group-specific reagents
pH-rate profiles to identify ionizable catalytic groups
Table of potential catalytic residue types and their verification methods:
| Residue Type | Potential Role | Verification Methods | Expected Effect of Mutation |
|---|---|---|---|
| Aspartate/Glutamate | General base catalysis, metal coordination | Ala substitution, pH-rate profiles | Severe reduction in kcat |
| Arginine/Lysine | Binding of phosphate groups in PRPP | Ala substitution, substrate binding studies | Increased Km for PRPP |
| Histidine | Proton transfer, metal coordination | Ala substitution, pH-rate profiles | pH optimum shift, reduced kcat |
| Tyrosine/Serine | Hydrogen bonding with substrate | Phe/Ala substitution, substrate binding studies | Moderate increase in Km |
Sophisticated spectroscopic and biophysical techniques provide deep insights into pncB structure and dynamics:
X-ray crystallography:
Determination of three-dimensional structure at atomic resolution
Co-crystallization with substrates, products, or inhibitors to identify binding modes
Analysis of conformational changes upon ligand binding
Nuclear Magnetic Resonance (NMR) spectroscopy:
Analysis of protein dynamics in solution
Chemical shift perturbation experiments to map binding interfaces
Relaxation dispersion experiments to characterize conformational exchange
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Probing solvent accessibility and conformational flexibility
Identifying regions that undergo conformational changes upon substrate binding
Monitoring protein dynamics under various conditions
Fluorescence spectroscopy:
Intrinsic tryptophan fluorescence to monitor conformational changes
Fluorescence resonance energy transfer (FRET) to measure distances between labeled sites
Fluorescence anisotropy to study ligand binding kinetics
Practical considerations for implementing these methods:
Protein concentration requirements vary (0.1-10 mg/mL depending on technique)
Sample homogeneity is critical, especially for crystallography and NMR
Consider isotopic labeling (15N, 13C, 2H) for NMR studies
Complement structural studies with functional assays to correlate structure with activity
Researchers encountering challenges with pncB expression and solubility should consider these methodological approaches:
Expression optimization:
Reduce induction temperature to 16-20°C to slow protein synthesis and improve folding
Decrease inducer concentration to moderate expression rate
Co-express with molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Try different expression strains with enhanced folding capabilities
Consider alternate fusion tags known to enhance solubility (MBP, SUMO, TrxA)
Vector and construct design:
Optimize codon usage for the expression host
Remove rare codons or add tRNA supplementation
Consider expressing sub-domains if full-length protein is problematic
Evaluate the impact of tag position (N- vs. C-terminal)
Extraction and solubilization:
Optimize lysis buffer composition (salt concentration, pH, additives)
Include solubility enhancers such as:
0.1-1% non-ionic detergents (Triton X-100, NP-40)
50-500 mM arginine or proline
0.5-2 M urea (mild denaturant)
5-10% glycerol
Evaluate refolding protocols if inclusion bodies form
Experimental decision tree for troubleshooting:
First test small-scale expression with different conditions
Analyze both soluble and insoluble fractions by SDS-PAGE
Progress to activity assays once soluble expression is achieved
Scale up only after conditions are optimized at small scale
Addressing variability in enzyme activity measurements requires systematic analysis of potential sources of error:
Reagent quality and preparation:
Use high-purity substrates and buffer components
Prepare fresh PRPP solutions (unstable at room temperature)
Aliquot and store enzyme preparations consistently
Standardize preparation of assay reagents
Assay standardization:
Establish detailed standard operating procedures (SOPs)
Include internal controls in each assay
Implement quality control checkpoints
Validate assay linear range and detection limits
Environmental factors:
Control temperature precisely during reactions
Shield light-sensitive components
Maintain consistent pH throughout experiments
Control reaction timing with precision
Data analysis and interpretation:
Apply rigorous statistical analysis (mean, standard deviation, CV%)
Use appropriate replicate numbers (minimum n=3)
Implement outlier detection and exclusion criteria
Consider normalization to internal standards
Table of acceptable variation metrics for different assay types:
| Assay Type | Acceptable CV (%) | Troubleshooting Threshold (%) | Key Quality Control Measures |
|---|---|---|---|
| Spectrophotometric | <10% | >15% | Instrument calibration, path length verification |
| HPLC-based | <8% | >12% | System suitability tests, standard curves |
| Radiometric | <12% | >18% | Background subtraction, quench correction |
| Coupled enzyme assays | <15% | >20% | Coupling enzyme excess verification, lag phase accounting |
Scientifically sound research with pncB requires comprehensive controls and validation steps:
Negative controls:
No-enzyme control to account for non-enzymatic reactions
Heat-inactivated enzyme control
Substrate omission controls for each substrate
Buffer-only controls
Positive controls:
Known active enzyme preparation
Standard curve with authenticated product
Related enzyme with well-characterized activity
Validation experiments:
Linearity with respect to enzyme concentration
Time-course to ensure initial velocity conditions
Substrate saturation curves
Method-specific validation (e.g., HPLC method validation)
Quality control measures:
Routine verification of enzyme stability over time
Regular calibration of instruments
Batch-to-batch consistency checks
Inter-laboratory validation when possible
Implementation of these controls and validation steps should be documented in a validation protocol that includes:
Acceptance criteria for each control
Required frequency of control measurements
Procedures for handling out-of-specification results
Documentation requirements for validation data
Recombinant S. proteamaculans pncB has significant potential in advanced metabolic engineering applications:
NAD biosynthesis pathway optimization:
Overexpression of pncB to enhance salvage pathway flux
Balancing expression with other pathway enzymes
Construction of synthetic operons for coordinated expression
Integration with de novo NAD biosynthesis regulation
Experimental approaches for pathway engineering:
Metabolic flux analysis using 13C-labeled precursors
Dynamic regulation of pathway components
Enzyme variant libraries for activity screening
Modular pathway assembly and optimization
Biosensor development:
Construction of NAD-responsive transcriptional regulators
Development of fluorescent biosensors for pathway intermediates
High-throughput screening systems for pathway optimization
In vivo monitoring of NAD metabolism
Synthetic biology applications:
Design of orthogonal NAD-dependent pathways
Cell-free protein synthesis systems using NAD-dependent reactions
Engineered cells with enhanced NAD production capabilities
Integration with other engineered metabolic modules
Methodological considerations for these applications:
Carefully balance expression levels of all pathway components
Consider cofactor requirements and regeneration
Implement feedback control mechanisms
Develop analytical methods for all pathway intermediates
Understanding pncB's contribution to bacterial NAD metabolism requires integrative approaches:
Genetic manipulation studies:
Construction of pncB knockout strains
Controlled expression using inducible promoters
Site-directed mutagenesis to create partially active variants
Complementation studies to verify phenotypes
Metabolomic analysis:
Targeted quantification of NAD, NADP, and precursors
Flux analysis using isotope-labeled precursors
Time-course studies following perturbation
Comparative analysis across growth conditions
Transcriptional and translational regulation:
Promoter analysis and transcription factor identification
mRNA stability and translational efficiency studies
Post-translational modification analysis
Protein turnover and degradation studies
Systems biology integration:
Multi-omics data integration (transcriptomics, proteomics, metabolomics)
Mathematical modeling of NAD homeostasis
Network analysis of NAD-dependent processes
Comparative genomics across bacterial species
Comparative analysis of pncB from different bacterial sources provides insights into enzyme evolution and adaptation:
Phylogenetic analysis:
Construction of phylogenetic trees based on pncB sequences
Correlation of sequence divergence with taxonomy
Identification of horizontal gene transfer events
Analysis of selection pressure on different protein regions
Structure-function comparisons:
Biochemical characterization:
Side-by-side kinetic analysis under identical conditions
Substrate specificity profiling across species
Stability under various stress conditions
Inhibitor sensitivity patterns
Experimental approaches for evolutionary studies:
Ancestral sequence reconstruction and resurrection
Domain swapping between homologs
Directed evolution experiments
Compensatory mutation analysis
Table of comparative features across selected bacterial pncB enzymes:
By systematically comparing pncB enzymes across diverse bacterial species, researchers can gain insights into evolutionary processes that shape enzyme function and contribute to metabolic diversity in the microbial world.