KEGG: bvi:Bcep1808_3787
STRING: 269482.Bcep1808_3787
L-threonine 3-dehydrogenase (TDH) is an enzyme that catalyzes the NAD⁺-dependent oxidation of L-threonine to 2-amino-3-ketobutyrate. This reaction represents an important step in the metabolic pathway that converts threonine to glycine . The enzyme requires nicotinamide adenine dinucleotide (NAD⁺) as a cofactor, and the catalytic mechanism involves the oxidation of the hydroxyl group at the C3 position of L-threonine, resulting in the formation of a ketone group.
TDH in Burkholderia species, like many bacterial TDHs, is typically organized as a homo-tetramer. Each monomer consists of two domains: a catalytic domain and a nicotinamide co-factor (NAD⁺)-binding domain containing an alpha/beta Rossmann fold motif . The association of pairs of monomers in the tetramer forms an extended twelve-stranded beta-sheet structure. This quaternary structure is critical for the enzyme's stability and function.
Research on B. vietnamiensis TDH is important because it belongs to the genus Burkholderia, which includes pathogenic gram-negative bacteria that cause melioidosis, glanders, and pulmonary infections in patients with cancer and cystic fibrosis . Understanding the structure and function of essential enzymes like TDH can contribute to the development of new antimicrobials against Burkholderia-related infectious diseases. Additionally, drug resistance has made the development of new antimicrobials critical, and high-resolution structures of essential proteins are necessary for structure-based drug design approaches.
For recombinant production of B. vietnamiensis TDH, Escherichia coli expression systems, particularly E. coli BL21(DE3), are recommended based on successful expression of similar enzymes . The methodology involves:
Obtaining the TDH coding sequence from B. vietnamiensis using gene mining or total gene synthesis
Cloning the gene into an expression vector (e.g., pET-28a(+)) with appropriate restriction sites
Transforming the construct into E. coli BL21(DE3) using the heat shock method
Optimizing expression conditions by testing different induction temperatures (16°C, 25°C, and 37°C) and IPTG concentrations (0.1 mM, 0.5 mM, and 1 mM)
This approach has been successfully applied to other dehydrogenases and should be adaptable for B. vietnamiensis TDH.
A multi-step purification strategy is recommended for obtaining high-purity, active recombinant TDH:
Cell lysis by sonication or mechanical disruption in an appropriate buffer
Initial clarification by centrifugation to remove cell debris
Immobilized metal affinity chromatography (IMAC) using the His-tag engineered into the recombinant protein
Optional: Ion exchange chromatography as a secondary purification step
Size exclusion chromatography to ensure homogeneity and remove aggregates
Buffer exchange to the optimal storage buffer
This strategy is adaptable based on specific research needs and available equipment. The purification process should be monitored by SDS-PAGE and enzyme activity assays at each step to track yield and purity.
The stability of purified TDH can be enhanced during storage and freeze-drying by screening various stabilizers, including:
Sugars: Sucrose has shown effectiveness for similar dehydrogenases
Polyols: Glycerol (typically at 10-20%) for liquid storage
Amino acids: Asparagine has demonstrated protective effects during freeze-drying
Salts: Specific salt additives may improve stability depending on the enzyme
Proteins/polymers: Addition of BSA or similar inert proteins can prevent adsorption and denaturation
Optimization of pH and buffer composition is also critical, with phosphate buffers often providing good stability. For long-term storage, a combination of freeze-drying with appropriate protectants followed by storage at -20°C or -80°C is recommended.
The kinetic parameters of B. vietnamiensis TDH can be determined using spectrophotometric assays that monitor the reduction of NAD⁺ to NADH at 340 nm. The methodology involves:
Preparing a reaction mixture containing varying concentrations of L-threonine (substrate), fixed concentration of NAD⁺, and buffer at optimal pH
Initiating the reaction by adding a fixed amount of purified enzyme
Monitoring the increase in absorbance at 340 nm using a spectrophotometer
Calculating initial reaction velocities for each substrate concentration
Fitting data to Michaelis-Menten equation to determine Km and Vmax
Converting Vmax to kcat using the enzyme concentration
This approach allows for the determination of essential kinetic parameters including Km (substrate affinity), kcat (turnover number), and kcat/Km (catalytic efficiency) .
To determine the optimal temperature and pH for TDH activity, systematic assays are conducted:
For optimal temperature:
Prepare standard reaction mixtures as described above
Conduct enzyme activity assays at various temperatures (typically 25°C-70°C in 5°C increments)
Monitor the change in absorbance at 340 nm
Plot enzymatic activity versus temperature to identify the temperature optimum
For optimal pH:
Prepare reaction mixtures using buffer systems covering a broad pH range (typically pH 5.0-11.0)
Conduct enzyme assays at fixed temperature (often 37°C or the determined temperature optimum)
Measure activity and plot versus pH to identify the pH optimum
For B. vietnamiensis TDH, the optimal conditions are likely to be similar to other bacterial TDHs, with temperature optima typically between 45°C-60°C and pH optima between 7.0-8.5 .
Several spectroscopic techniques are valuable for studying TDH structure and cofactor binding:
Circular Dichroism (CD): Provides information about secondary structure components (α-helices, β-sheets) and can monitor structural changes upon cofactor binding
Fluorescence Spectroscopy: Intrinsic tryptophan fluorescence can be used to monitor conformational changes and NAD⁺ binding, as the cofactor can quench fluorescence when bound
UV-Visible Spectroscopy: Direct measurement of NAD⁺/NADH absorption provides information about cofactor binding and enzyme activity
Isothermal Titration Calorimetry (ITC): Quantifies binding thermodynamics between TDH and its cofactor NAD⁺
Nuclear Magnetic Resonance (NMR): Provides atomic-level details of protein-cofactor interactions in solution
These techniques can be complementary to structural studies by X-ray crystallography, providing information about the dynamics of cofactor binding and protein conformational changes.
While specific crystallization conditions for B. vietnamiensis TDH are not directly reported in the provided sources, successful approaches for crystallizing related TDHs from Burkholderia species can be adapted:
Protein concentration: Typically 5-15 mg/mL in a low-ionic-strength buffer
Crystallization method: Hanging drop or sitting drop vapor diffusion
Precipitants: PEG (polyethylene glycol) of various molecular weights (1000-8000), particularly PEG 3350 at 15-25%
Additives: Including the cofactor NAD⁺ (1-5 mM) often improves crystal quality
Buffer conditions: pH range 6.5-8.0, often using Tris-HCl, HEPES, or phosphate buffers
Temperature: Both 4°C and 20°C should be tested
The "ortholog rescue" approach, as used by the Seattle Structural Genomics Center for Infection Disease (SSGCID), may be particularly valuable if B. vietnamiensis TDH proves difficult to crystallize .
The structure of TDH provides crucial insights into its catalytic mechanism:
The NAD⁺-binding domain contains a characteristic Rossmann fold motif that positions the cofactor in the optimal orientation for hydride transfer
Active site residues that participate in substrate binding and catalysis can be identified
Conformational changes upon cofactor and substrate binding reveal the induced-fit mechanism
The quaternary structure (tetramer) formation may be essential for creating the proper active site architecture
Comparison with structures of related enzymes helps identify conserved catalytic features versus species-specific adaptations
Structural analysis reveals that TDH catalyzes the NAD⁺-dependent oxidation of L-threonine by positioning the substrate's hydroxyl group for deprotonation by a catalytic base, followed by hydride transfer to NAD⁺ .
TDH shares structural similarities with other dehydrogenases but possesses distinguishing features:
Substrate binding pocket: Specific residues for L-threonine recognition that differ from those in alcohol dehydrogenases and other related enzymes
Quaternary structure: While many dehydrogenases form tetramers, the specific interaction interfaces between monomers can vary
NAD⁺ binding mode: Although the Rossmann fold is conserved, specific interactions with the cofactor may differ
Domain organization: The relative orientation and movement between the catalytic and cofactor-binding domains may be unique
Species-specific adaptations: Features that reflect adaptation to the particular cellular environment of Burkholderia
Protein engineering strategies to enhance the catalytic efficiency of B. vietnamiensis TDH include:
Rational design based on structural information:
Modifying active site residues to improve substrate binding (lower Km)
Engineering the proton relay network to enhance catalytic rate (higher kcat)
Stabilizing flexible regions to reduce conformational heterogeneity
Directed evolution approaches:
Error-prone PCR to generate libraries of TDH variants
Selection or screening for variants with improved activity
Iterative rounds of mutation and selection
Semi-rational approaches combining computational design and experimental validation:
In silico modeling to predict beneficial mutations
Site-saturation mutagenesis of key residues
Combinatorial libraries of predicted beneficial mutations
These approaches can be targeted toward improving specific properties such as temperature stability, pH tolerance, or substrate specificity, depending on the research goals.
TDH is known to form a stable functional complex with 2-amino-3-ketobutyrate CoA ligase, likely to shield an unstable intermediate . Several techniques can investigate this interaction:
Co-immunoprecipitation and pull-down assays to confirm physical interaction
Surface Plasmon Resonance (SPR) or Bio-Layer Interferometry (BLI) to measure binding kinetics
Protein-protein docking studies using computational approaches
Crosslinking mass spectrometry to identify interaction interfaces
Co-crystallization attempts to solve the structure of the complex
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify regions involved in binding
FRET (Förster Resonance Energy Transfer) assays using fluorescently labeled proteins
Understanding this interaction is crucial as it reveals how metabolic channeling may occur in the threonine degradation pathway.
Evaluation of TDH as a potential antimicrobial drug target involves multiple approaches:
Target validation:
Confirm essentiality through gene knockout or knockdown studies
Evaluate virulence impact in appropriate infection models
Assess metabolic bypasses that might circumvent TDH inhibition
Druggability assessment:
Structural analysis to identify potential binding pockets
Computational screening for potential inhibitors
Fragment-based approaches to identify starting points for inhibitor design
Selectivity analysis:
Compare with human homologs to identify selective targeting opportunities
Assess conservation across bacterial species for broad vs. narrow spectrum potential
The genus Burkholderia includes pathogenic gram-negative bacteria that cause serious infections, and drug resistance has made development of new antimicrobials critical. High-resolution structures of essential proteins like TDH are valuable resources for structure-based drug design approaches .
Multiple analytical techniques are recommended for comprehensive monitoring of TDH purity and quality:
| Technique | Parameter Assessed | Methodology |
|---|---|---|
| SDS-PAGE | Purity, molecular weight | Denatured protein separation based on size |
| Native PAGE | Oligomeric state, conformational homogeneity | Non-denatured protein separation |
| Size Exclusion Chromatography | Aggregation state, oligomerization | Separation based on hydrodynamic radius |
| Dynamic Light Scattering | Particle size distribution, aggregation | Light scattering measurement of particles in solution |
| Mass Spectrometry | Exact mass, post-translational modifications | Ionization and mass analysis of protein |
| UV-Vis Spectroscopy | Concentration, cofactor binding | Absorption measurement at characteristic wavelengths |
| Circular Dichroism | Secondary structure integrity | Differential absorption of circularly polarized light |
| Enzyme Activity Assay | Functional integrity | Spectrophotometric measurement of NAD⁺ reduction |
Combining these techniques provides a comprehensive assessment of both physical and functional attributes of the purified enzyme.
When interpreting discrepancies in kinetic parameters between different studies, researchers should consider:
Methodological differences:
Reaction conditions (temperature, pH, buffer composition)
Assay methods (direct vs. coupled, continuous vs. endpoint)
Data analysis approaches (curve fitting methods, software used)
Protein-related factors:
Expression system differences (E. coli strains, tags used)
Purification protocols and resulting protein purity
Presence/absence of cofactors during purification
Storage conditions and protein stability
Substrate and cofactor considerations:
Source and purity of substrates and cofactors
Concentration ranges studied (especially if outside linear range)
Presence of inhibitors or activators
Statistical considerations:
Number of replicates and statistical treatment
Error reporting methods
Outlier identification and handling
A systematic comparison table highlighting these differences can help identify the source of discrepancies and determine which values are most reliable for specific applications.
Thermal shift assays (TSA) are valuable for studying TDH stability, but interpretation challenges include:
Cofactor effects:
NAD⁺ binding can significantly alter thermal stability
Determining whether to perform assays with or without cofactor
Interpreting multiple transition temperatures in multi-domain proteins
Buffer and additive considerations:
Some buffers or additives may interact with the fluorescent dye
pH changes with temperature can affect results
Stabilizing additives may mask intrinsic stability differences
Technical challenges:
Protein concentration effects on apparent melting temperature (Tm)
Heating rate influences on observed transitions
Baseline determination and curve fitting complications
Correlation with functional stability:
Thermal unfolding may not directly correlate with loss of enzymatic activity
Need to validate TSA results with activity-based stability assays
Data visualization and analysis:
Interpreting complex unfolding profiles with multiple transitions
Distinguishing between destabilizing and denaturing effects
When conducted properly with appropriate controls and complementary methods, TSA can provide valuable insights into factors affecting TDH stability.
Comparative analysis of B. vietnamiensis TDH with TDH from other bacterial species reveals important similarities and differences:
Structural conservation:
Functional variations:
Kinetic parameters (Km, kcat) may vary reflecting adaptation to different cellular environments
Temperature and pH optima differ between thermophilic and mesophilic species
Substrate specificity may vary slightly between species
Sequence diversity:
Despite low sequence homology (sometimes below 40%), structural conservation is maintained
Key catalytic residues are typically conserved
Surface residues show higher variability, reflecting different cellular environments
The ortholog rescue approach used by structural genomics initiatives demonstrates that despite sequence differences, TDH maintains similar structural and functional properties across bacterial species .
Genomic context analysis can provide valuable insights about TDH's role in B. vietnamiensis:
Pathway reconstruction:
Identification of genes encoding enzymes in the threonine degradation pathway
Presence of 2-amino-3-ketobutyrate CoA ligase gene in proximity suggests metabolic coupling
Organization in operons indicates coordinated regulation
Regulatory elements:
Identification of promoters and transcription factor binding sites
Presence of attenuators or riboswitches suggests regulation by metabolites
Comparing regulatory elements across Burkholderia species reveals conservation patterns
Evolutionary implications:
Gene neighborhood conservation across species indicates functional importance
Horizontal gene transfer events can be identified by analyzing genomic islands
Paralogous genes may indicate functional redundancy or specialization
Functional coupling:
Genomic context analysis complements experimental studies by providing an evolutionary and systems-level perspective on TDH function.
Evolutionary analysis of TDH across the Burkholderia genus reveals several patterns:
Sequence conservation:
Core catalytic residues show high conservation
NAD⁺-binding motifs are strongly conserved
Variable regions typically occur in surface-exposed loops
Phylogenetic distribution:
TDH genes cluster according to species relationships within the Burkholderia genus
Separate clusters may form between pathogenic and non-pathogenic species
Close relationship with TDH from other proteobacteria suggests vertical inheritance
Selection pressures:
Evidence of purifying selection on catalytic residues
Potential positive selection on surface-exposed regions in pathogenic species
Conservation of tetramer interface residues indicates quaternary structure importance
Essentiality across species:
This evolutionary perspective helps identify conserved features that may be targeted for antimicrobial development while providing insights into species-specific adaptations.
Recombinant TDH offers promising applications in biosensor development for threonine detection:
Enzyme-based electrochemical biosensors:
Immobilization of TDH on electrode surfaces
Detection based on NAD⁺ reduction to NADH (electroactive)
Signal amplification using mediators or nanoparticles
Potential for continuous monitoring in bioreactors
Optical biosensors:
Coupling TDH reaction to fluorescent NADH detection
Development of FRET-based sensors using labeled TDH
Colorimetric assays using secondary reactions with NADH
Immobilization strategies:
Covalent attachment to functionalized surfaces
Entrapment in polymers or hydrogels
Crosslinking with bifunctional reagents
Site-specific immobilization through engineered attachment sites
Performance optimization:
Protein engineering for improved stability and activity
Buffer optimization for extended shelf-life
Co-immobilization with stabilizers
Such biosensors could find applications in food industry quality control, bioprocess monitoring, and clinical diagnostics.
Current limitations in structural studies of Burkholderia enzymes include:
Protein expression challenges:
Potential toxicity in E. coli expression systems
Solubility issues leading to inclusion body formation
Solution: Alternative expression hosts, fusion tags, or cell-free systems
Crystallization difficulties:
High flexibility in certain protein regions hindering crystal formation
Solution: Surface entropy reduction, limited proteolysis, nanobody co-crystallization
Structural heterogeneity:
Multiple conformational states complicating structural analysis
Solution: Advanced cryo-EM approaches for capturing conformational ensembles
Complex formation requirements:
Some enzymes may require partners for stability or function
Solution: Co-expression strategies, complex reconstitution approaches
The "ortholog rescue" strategy employed by structural genomics initiatives has proven effective in overcoming some of these limitations by attempting to crystallize orthologs from multiple related species . Additionally, advances in cryo-electron microscopy (cryo-EM) offer new opportunities for structural determination of challenging targets.
Several emerging technologies show promise for advancing our understanding of TDH's role in bacterial metabolism:
CRISPR interference (CRISPRi) for conditional knockdowns:
Tunable repression of tdh expression
Temporal control to study metabolic adaptation
Combination with metabolomics for pathway mapping
Advanced metabolic flux analysis:
13C-labeled threonine tracing to quantify flux through TDH
Integration with computational metabolic models
Single-cell metabolomics to capture heterogeneity
In-cell structural biology approaches:
In-cell NMR to study TDH structure in native environment
Cross-linking mass spectrometry to map interaction networks
Cryo-electron tomography to visualize enzyme localization
Systems biology integration:
Multi-omics approaches combining proteomics, metabolomics, and transcriptomics
Machine learning to identify patterns in complex datasets
Network analysis to position TDH in the broader metabolic context
Single-molecule enzymology:
Direct observation of TDH catalytic cycle using fluorescence techniques
Investigation of potential cooperativity between subunits
Characterization of conformational dynamics during catalysis
These technologies will provide a more comprehensive understanding of TDH's role in bacterial physiology and potentially identify new strategies for antimicrobial development.