Recombinant Dichelobacter nodosus Serine Hydroxymethyltransferase (glyA) is a genetically engineered enzyme derived from the glyA gene of D. nodosus, a Gram-negative anaerobic bacterium responsible for ovine footrot. This pyridoxal 5'-phosphate (PLP)-dependent enzyme catalyzes the reversible conversion of serine to glycine while generating 5,10-methylene tetrahydrofolate (MTHF), a critical one-carbon unit donor in bacterial metabolism . Its study is pivotal for understanding folate metabolism and virulence mechanisms in D. nodosus.
The recombinant enzyme is encoded by the UniProt entry A5EVR7 and comprises 406 amino acids. Key structural motifs include:
| Residues | Sequence | Functional Role |
|---|---|---|
| 1–20 | MFTKAMNIADFDNELAQAIA | N-terminal substrate-binding domain |
| 100–120 | GSCLTNKYAEGYPRKRYYG | PLP-binding loop |
| 223–228 | TTHKTL | Catalytic lysine residue (Lys226) |
| 344–363 | GLYPNPVPFADVVTSTTHKT | Tetrahydrofolate interaction domain |
SHMT operates via a PLP-dependent aldol cleavage mechanism:
Internal aldimine formation: PLP binds covalently to Lys226, forming a Schiff base.
Substrate binding: Serine displaces Lys226, generating an external aldimine intermediate.
Cleavage: Serine undergoes β-hydroxyl elimination, producing glycine and MTHF .
Host: Escherichia coli (e.g., M15/pREP4 strain with pQE30 vector) .
Induction: Isopropyl β-D-1-thiogalactopyranoside (IPTG)-dependent expression.
Purification: Ni²⁺-nitrilotriacetic acid (NTA) affinity chromatography yields >85% purity (SDS-PAGE) .
Weak PLP binding affinity compared to SHMT homologs (e.g., Helicobacter pylori), attributed to disordered active-site loops .
Retains 4% activity with L-threonine as a substrate, suggesting promiscuity in aldol cleavage .
Virulence linkage: glyA knockout strains exhibit slowed growth and loss of virulence factors (e.g., CagA in H. pylori) .
Metabolic dependency: SHMT is essential for glycine biosynthesis in D. nodosus, influencing survival in anaerobic environments .
Inhibitor screening: Structural flexibility in the PLP-binding pocket (e.g., disordered loops 1, 3, and 7) enables targeted small-molecule design .
Antimicrobial agents: Folate metabolism disruption via SHMT inhibition reduces bacterial proliferation .
Serine hydroxymethyltransferase (SHMT, EC 2.1.2.1) in Dichelobacter nodosus is a crucial enzyme that catalyzes the reversible conversion of serine to glycine with concurrent transfer of a one-carbon unit to tetrahydrofolate, forming 5,10-methylenetetrahydrofolate. This reaction is central to one-carbon metabolism, which is essential for nucleotide synthesis, amino acid metabolism, and methylation reactions. In D. nodosus (strain VCS1703A), this enzyme is encoded by the glyA gene and consists of 417 amino acids as indicated by the expression region . The enzyme plays a pivotal role in bacterial metabolism, particularly in providing one-carbon units for purine and thymidylate synthesis, which are crucial for DNA replication and cell division.
D. nodosus SHMT shares the conserved catalytic core structure typical of bacterial SHMTs, including specific binding domains for pyridoxal 5′-phosphate (PLP), its essential cofactor. The protein sequence (UniProt A5EVR7) reveals conserved residues for PLP binding and catalysis. Based on sequence analysis, D. nodosus SHMT contains characteristic motifs including the GFAAYSQ region that is part of the PLP-binding site, which is highly conserved across bacterial SHMTs. The protein sequence also indicates the presence of key structural elements including:
N-terminal domain (residues 1-90): Involved in tetramer formation
Central catalytic domain (residues 91-313): Contains the PLP-binding site
C-terminal domain (residues 314-417): Contributes to substrate specificity
Unlike some mammalian SHMTs that can localize to different cellular compartments, bacterial SHMTs including D. nodosus are cytosolic enzymes that typically function as homotetramers.
For successful purification of recombinant D. nodosus SHMT with retained activity, a multi-stage approach is recommended:
Initial Clarification: After expression in mammalian cells (as specified in the datasheet), perform cell lysis under gentle conditions (e.g., sonication with pulse intervals or enzymatic lysis) to prevent protein denaturation .
Chromatographic Separation:
IMAC (Immobilized Metal Affinity Chromatography): If the recombinant protein includes a histidine tag
Ion Exchange Chromatography: Based on the theoretical pI of the protein
Size Exclusion Chromatography: For final polishing and buffer exchange
Activity Preservation Measures:
Include PLP (5-20 μM) in all purification buffers
Maintain reducing conditions with 1-5 mM DTT or β-mercaptoethanol
Use buffer systems in the pH range 7.0-8.0 to maintain stability
Work at 4°C throughout the purification process
The purity goal should be >85% as assessed by SDS-PAGE, consistent with the specifications noted in the product datasheet .
When designing enzyme activity assays for D. nodosus SHMT, researchers should consider multiple approaches based on the reaction catalyzed:
Measure the formation of 5,10-methylenetetrahydrofolate by coupling with NADPH-dependent methylenetetrahydrofolate reductase
Monitor absorbance changes at 340 nm due to NADPH oxidation
Use the following reaction conditions:
50 mM phosphate buffer (pH 7.4)
1-2 mM serine
0.4 mM tetrahydrofolate
50 μM PLP
0.1-0.5 μM recombinant D. nodosus SHMT
Temperature: 25°C (standard) or 37°C (physiological)
Use 14C-labeled serine as substrate
Quantify the formation of [14C]glycine after separation by HPLC or TLC
This approach offers higher sensitivity for kinetic studies
Calculate initial velocities from the linear portion of progress curves
Determine kinetic parameters (Km, kcat, Vmax) using appropriate software (GraphPad Prism, SigmaPlot, etc.)
Use Michaelis-Menten, Lineweaver-Burk, or Eadie-Hofstee plots for data visualization
| Parameter | Typical Range for Bacterial SHMTs | Measurement Conditions |
|---|---|---|
| Km (Serine) | 0.1-2.0 mM | pH 7.4, 25°C |
| Km (THF) | 0.05-0.5 mM | pH 7.4, 25°C |
| kcat | 1-10 s^-1 | pH 7.4, 25°C |
| pH optimum | 7.0-8.0 | Variable substrate conc. |
| Temperature optimum | 30-40°C | Standard assay conditions |
Comprehensive investigation of D. nodosus SHMT substrate specificity requires multiple experimental approaches:
Test structurally related amino acids (e.g., D-serine, threonine, alanine) at 1-5 mM concentrations
Examine various folate derivatives as potential one-carbon acceptors
Measure relative activity using standard assay conditions
Crystallography with various substrates or substrate analogs bound
Molecular docking simulations to predict binding modes
Hydrogen-deuterium exchange mass spectrometry to identify substrate interaction sites
Identify conserved residues in the active site based on sequence alignment
Generate point mutations of these residues
Characterize mutant enzymes for altered substrate preference
Measure kinetic parameters for each mutant with various substrates
Determine IC50 values for substrate analogs
Calculate Ki values using appropriate inhibition models
Compare binding affinity patterns across different potential substrates
When reporting substrate specificity data, include the following parameters for each substrate:
| Substrate | Relative Activity (%) | Km (mM) | kcat (s^-1) | kcat/Km (M^-1 s^-1) |
|---|---|---|---|---|
| L-Serine | 100 | x.xx | x.xx | x.xx × 10^x |
| D-Serine | xx | x.xx | x.xx | x.xx × 10^x |
| L-Threonine | xx | x.xx | x.xx | x.xx × 10^x |
| Etc. | xx | x.xx | x.xx | x.xx × 10^x |
According to the product datasheet, specific guidelines should be followed for optimal reconstitution and storage of recombinant D. nodosus SHMT:
Centrifuge the vial briefly to collect contents at the bottom before opening
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (the default recommendation is 50%)
Mix gently to avoid protein denaturation
Allow the protein to stabilize at room temperature for 15-30 minutes
Prepare working aliquots to avoid repeated freeze-thaw cycles
The shelf life in liquid form is approximately 6 months at -20°C/-80°C
The shelf life in lyophilized form is approximately 12 months at -20°C/-80°C
Avoid repeated freezing and thawing cycles
Include stabilizing agents during storage:
50% glycerol (cryoprotectant)
1-5 mM DTT (prevents oxidation of cysteine residues)
20-50 μM PLP (maintains cofactor saturation)
Store in small aliquots (50-100 μL) to minimize freeze-thaw cycles
Use low-binding microcentrifuge tubes to prevent protein adsorption
Investigating the role of D. nodosus SHMT in pathogenesis requires a multi-faceted approach:
Create glyA knockout or knockdown strains
Develop conditional expression systems to control glyA expression
Complement mutants with wild-type or modified glyA genes
Assess virulence phenotypes in appropriate infection models
Analyze glyA expression patterns during infection stages
Compare expression levels between virulent and avirulent strains
Identify potential regulatory elements controlling glyA expression
Examine changes in one-carbon metabolism during host infection
Compare enzymatic properties of SHMT from virulent vs. avirulent strains
Identify post-translational modifications that occur during infection
Investigate potential moonlighting functions beyond canonical SHMT activity
Examine interactions with host proteins or metabolites
Test selective SHMT inhibitors in infection models
Evaluate metabolic rescue experiments with glycine and nucleotide precursors
Assess synergy between SHMT inhibition and conventional antimicrobials
Develop structure-based design of inhibitors targeting unique features of the D. nodosus enzyme
Correlate enzymatic activity with virulence measurements
Distinguish direct from indirect effects through complementation studies
Consider metabolic network adaptations that may compensate for SHMT inhibition
Integrate findings with broader understanding of D. nodosus pathogenesis in foot rot disease
Developing a comprehensive inhibitor screening and characterization pipeline for D. nodosus SHMT includes:
High-throughput spectrophotometric assays
Measure SHMT activity in 96 or 384-well format
Screen compound libraries at single concentrations (typically 10-50 μM)
Include appropriate controls (known inhibitors, vehicle controls)
Fragment-based screening
Use thermal shift assays to identify stabilizing fragments
Employ NMR-based screening for fragment binding
Virtual screening
Structure-based docking of compound libraries
Pharmacophore modeling based on substrate interactions
Dose-response analysis
Determine IC50 values for hit compounds
Establish complete inhibition curves
Mechanism of action studies
Determine inhibition type (competitive, noncompetitive, uncompetitive)
Measure Ki values using appropriate kinetic models
Selectivity profiling
Test activity against human SHMT isoforms
Evaluate effects on related PLP-dependent enzymes
Structure-activity relationship analysis
Test structural analogs of lead compounds
Identify chemical moieties critical for inhibition
Binding studies
Isothermal titration calorimetry for thermodynamic parameters
Surface plasmon resonance for binding kinetics
Co-crystallization with inhibitors
Determine binding modes and key interactions
Inform structure-based optimization
Cellular activity evaluation
Measure effects on D. nodosus growth
Assess impact on one-carbon metabolism in vivo
| Inhibitor Type | Example Compounds | Typical IC50 Range | Selectivity Considerations |
|---|---|---|---|
| Antifolates | Pemetrexed analogs | 0.1-10 μM | Cross-reactivity with DHFR |
| Amino acid analogs | D-cycloserine derivatives | 1-100 μM | Specificity vs. other PLP enzymes |
| PLP-reactive compounds | Hydrazines, aminooxy compounds | 0.5-50 μM | General PLP enzyme inhibition |
| Allosteric modulators | Natural product derivatives | 5-250 μM | Unique binding sites prediction |
Site-directed mutagenesis provides powerful insights into SHMT's catalytic mechanism. A systematic approach should include:
Conserved active site residues based on sequence alignment with well-characterized SHMTs
PLP-binding site residues (typically includes a catalytic lysine forming Schiff base with PLP)
Substrate binding pocket residues
Residues involved in quaternary structure formation
Conservative mutations (e.g., Lys→Arg, Asp→Glu) to probe charge requirements
Non-conservative mutations to drastically alter chemical properties
Alanine-scanning mutagenesis to identify essential side chains
Introduction of unnatural amino acids for specialized mechanistic studies
Expression and purification under identical conditions to wild-type
Spectroscopic characterization:
UV-visible spectroscopy to assess PLP binding
Circular dichroism to confirm structural integrity
Fluorescence spectroscopy to examine conformational changes
Kinetic characterization:
Determine Km and kcat values for all substrates
Measure effects on reaction specificity
Analyze pH and temperature dependence profiles
Thermodynamic stability assessment:
Thermal denaturation studies
Chemical denaturation profiles
Correlate structural locations with functional impacts
Compare effects across different substrates to identify substrate-specific interactions
Develop refined catalytic mechanism models based on mutational effects
Integrate findings with structural data when available
Key residues that typically warrant investigation in bacterial SHMTs include:
The PLP-binding lysine residue (forming internal aldimine)
Residues coordinating the phosphate group of PLP
Basic residues interacting with the carboxylate of serine
Residues forming the THF binding pocket
When facing low activity or inactivity issues with recombinant D. nodosus SHMT, researchers should systematically troubleshoot using this decision tree approach:
Ensure PLP saturation by:
Adding fresh PLP (50-100 μM) to enzyme preparations
Incubating the enzyme with excess PLP (100 μM) followed by desalting
Checking for characteristic PLP absorption peak (425-435 nm)
Verify PLP quality:
Use freshly prepared PLP solutions protected from light
Check PLP purity by spectroscopic analysis
Assess protein folding:
Perform circular dichroism spectroscopy
Use fluorescence spectroscopy to examine tertiary structure
Consider native PAGE to check quaternary structure
Verify protein integrity:
Confirm correct molecular weight by mass spectrometry
Check for proteolytic degradation by SDS-PAGE
Add protease inhibitors during purification and storage
Test different buffer systems:
Phosphate buffer (pH 7.0-8.0)
HEPES or Tris buffer (pH 7.2-8.0)
Include 50-150 mM NaCl for stability
Optimize reaction conditions:
Test activity across pH range (6.5-8.5)
Vary temperature (25-42°C)
Add stabilizing agents (glycerol, BSA, reducing agents)
Modify expression conditions:
Try different expression systems (mammalian, bacterial, insect cells)
Reduce expression temperature to enhance proper folding
Include chaperones during expression
Adjust purification strategy:
Use milder elution conditions
Include PLP in all purification buffers
Minimize exposure to extreme pH or salt conditions
A systematic examination of these factors, preferably in a controlled experimental design, will help identify and resolve the source of activity problems.
When facing contradictory results in inhibition studies, apply this systematic approach to reconcile discrepancies:
Evaluate compound properties:
Solubility limitations in assay buffers
Intrinsic fluorescence or absorbance that interferes with assay readout
Aggregation potential at tested concentrations
Consider compound quality:
Purity differences between studies
Stereochemical variations or racemization
Stability under assay conditions
Create a comprehensive comparison table with standardized parameters:
| Study | Assay Method | [Enzyme] | [Substrates] | IC50/Ki Values | Inhibition Type | Assay Conditions |
|---|---|---|---|---|---|---|
| Study 1 | Spectrophotometric | x μM | Serine: x mM THF: x mM | IC50 = x μM Ki = x μM | Competitive with serine | pH x, temp °C |
| Study 2 | Radiometric | x μM | Serine: x mM THF: x mM | IC50 = x μM Ki = x μM | Mixed-type | pH x, temp °C |
Perform cross-validation experiments:
Reproduce published methods side-by-side
Test inhibitors under identical conditions
Consider blind testing by independent researchers
Mechanistic reconciliation:
Different inhibition mechanisms at different concentrations
Allosteric effects vs. active site competition
Time-dependent inhibition phenomena
By systematically addressing these factors, researchers can develop a unified understanding of seemingly contradictory inhibition data and establish more robust inhibition models.
Protein aggregation or precipitation of recombinant D. nodosus SHMT can significantly impact experimental outcomes. Here's a comprehensive troubleshooting approach:
Buffer optimization:
Test buffer screening with varying pH (6.8-8.2)
Evaluate different ionic strengths (50-300 mM NaCl)
Include stabilizing additives:
5-10% glycerol
0.1-0.5 M trehalose or sucrose
0.1-1.0 mg/mL BSA as a carrier protein
Physical handling considerations:
Avoid rapid temperature changes
Prevent air-liquid interface exposure (minimize vortexing)
Use low-protein-binding tubes and pipette tips
Filter solutions through 0.22 μm membranes before use
Gentle disaggregation approaches:
Centrifuge at 15,000 × g for 10 minutes to remove large aggregates
Filter through 0.22 μm filters for analytic applications
Try mild sonication (low power, ice bath, short pulses)
Chemical chaperone addition:
L-arginine (50-100 mM)
Non-detergent sulfobetaines (5-10 mM)
Low concentrations of mild detergents (0.01-0.05% Tween-20)
Dynamic light scattering for particle size distribution
Size exclusion chromatography to quantify monomer/oligomer/aggregate ratios
Analytical ultracentrifugation for detailed solution behavior
Thioflavin T binding to detect amyloid-like aggregation
| Aggregation Trigger | Potential Solutions | Preventive Measures |
|---|---|---|
| pH-induced unfolding | Buffer optimization | Maintain pH 7.0-8.0; include buffers with good pH stability |
| Oxidative damage | Add reducing agents (1-5 mM DTT or 2-mercaptoethanol) | Purge buffers with inert gas; add reducing agents freshly |
| Thermal stress | Temperature-controlled handling | Store at consistent temperature; avoid rapid temperature changes |
| Concentration-dependent aggregation | Maintain protein below critical concentration | Determine solubility limits; keep stock solutions dilute |
| Surface-induced aggregation | Add surfactants | Use low-binding labware; include carrier proteins |
Implementing these strategies will help maintain D. nodosus SHMT in a soluble, active state suitable for downstream applications.
Comparative studies of SHMT across bacterial species offer valuable insights into evolution, adaptation, and potential antimicrobial targets. A comprehensive approach should include:
Multi-sequence alignment analysis:
Compare D. nodosus SHMT sequence with orthologs from related and distant bacteria
Identify conserved residues versus lineage-specific variations
Construct phylogenetic trees to trace evolutionary relationships
Structural comparison:
Analyze available crystal structures or create homology models
Identify structural differences in active sites, oligomerization interfaces, and allosteric sites
Map sequence variations onto structural models to identify functionally relevant differences
Enzyme kinetics standardization:
Express and purify multiple bacterial SHMTs under identical conditions
Compare kinetic parameters under standardized assay conditions
Develop a comprehensive kinetic profile for each ortholog
Inhibition profile comparison:
Test inhibitor panels across multiple bacterial SHMTs
Identify species-specific inhibition patterns
Quantify selectivity indices for potential antimicrobial development
Determine species-specific characteristics:
pH and temperature optima
Substrate specificity profiles
Cofactor requirements and binding affinities
Quaternary structure stability
Select species representing diverse phylogenetic groups
Include both pathogenic and non-pathogenic species
Consider extremophiles to explore adaptation to environmental niches
Include human SHMT isoforms as references for selectivity studies
This comprehensive approach will yield insights into SHMT's evolutionary adaptations and identify species-specific features that can be exploited for selective inhibition.
Evaluating D. nodosus SHMT as an antimicrobial target requires a systematic, multi-disciplinary approach:
Genetic essentiality assessment:
Conditional knockdown experiments in D. nodosus
Transposon mutagenesis screening
CRISPR interference approaches
Metabolic bypass evaluation:
Test growth rescue with glycine supplementation
Assess alternative one-carbon metabolism pathways
Determine the impact on folate cycle intermediates
High-throughput screening strategy:
Develop robust, scalable assays with Z' > 0.7
Screen diverse compound libraries (10,000-100,000 compounds)
Establish clear hit criteria and confirmation cascades
Rational design approaches:
Structure-based virtual screening
Fragment-based drug discovery
Substrate-based inhibitor design
Repurposing established SHMT inhibitors:
Modify existing human SHMT inhibitors for bacterial selectivity
Evaluate antimetabolites affecting related pathways
In vitro assessment:
Minimum inhibitory concentration (MIC) determination
Kill curve analysis
Resistance development frequency
Target engagement demonstration:
Metabolomic changes consistent with SHMT inhibition
Cellular thermal shift assays to confirm target binding
Genetic approaches (resistant mutant generation and characterization)
Comparative efficacy:
Activity against current clinical isolates
Combination studies with established antimicrobials
Efficacy in biofilm models
In vivo efficacy in appropriate animal models
Pharmacokinetic and pharmacodynamic studies
Toxicity and safety evaluation
Resistance risk assessment
This comprehensive approach will determine whether D. nodosus SHMT represents a viable antimicrobial target and guide the development of selective inhibitors.