Thymidylate synthase (ThyA) plays a crucial role in the synthesis of thymidine monophosphate (dTMP), a building block of DNA . Specifically, ThyA catalyzes the methylation of deoxyuridine monophosphate (dUMP) to form dTMP, utilizing 5,10-methylenetetrahydrofolate as a cofactor. This reaction is essential for DNA replication and repair .
Pseudomonas syringae pv. tomato is a Gram-negative bacterium known to be a pathogen of tomato plants . It is the causal agent of bacterial speck disease in tomatoes and is considered a highly aggressive pathogen once inside the plant .
Recombinant production of ThyA involves cloning the thyA gene from Pseudomonas syringae pv. tomato into a suitable expression vector and expressing it in a host organism, such as Escherichia coli . The recombinant protein can then be purified and used for various research purposes, including structural studies, enzyme kinetics, and inhibitor design .
Recombinant Pseudomonas syringae pv. tomato ThyA is a valuable tool in various areas of research:
Enzyme Inhibition Studies: Recombinant ThyA can be used to screen and characterize novel inhibitors that may have potential as antibacterial agents .
Structural Biology: The recombinant enzyme allows researchers to determine the three-dimensional structure of ThyA, providing insights into its mechanism of action .
Genetic Engineering: The thyA gene is a target for genetic manipulation in Pseudomonas syringae pv. tomato to study its role in pathogenicity and develop new disease control strategies .
Plant Transformation: The thyA gene can be knocked out using homologous recombination to improve plant transformation .
Thymol derivatives have been synthesized and tested for antibacterial activity against Pseudomonas aeruginosa, a related bacterium, showing promise in combating antibiotic resistance . Compound 3i, a specific thymol derivative, exhibited significant antibacterial activity with a minimum inhibitory concentration (MIC) of 12.5 µM against P. aeruginosa .
Pseudomonas syringae pv. tomato interacts with host plants by perceiving compounds like gamma-amino butyric acid (GABA) which increases upon pathogen infection . Understanding these interactions can lead to strategies for disrupting bacterial entry and reducing virulence in tomato plants .
| Compound | Bacteria | MIC (µM) | MBC (µM) |
|---|---|---|---|
| Thymol | P. aeruginosa | >1,000 | N/A |
| Thymol derivative 3i | P. aeruginosa | 12.5 | 12.5 |
| Thymol | MRSA | 250-1,000 | N/A |
| Thymol derivative 3i | MRSA | 50 | 50 |
| Vancomycin | P. aeruginosa | 6.25 | N/A |
| Vancomycin | MRSA | 3.1 | N/A |
MIC = Minimum Inhibitory Concentration, MBC = Minimum Bactericidal Concentration, N/A = Not Available
Thymidylate synthase (ThyA) catalyzes the reductive methylation of 2'-deoxyuridine-5'-monophosphate (dUMP) to 2'-deoxythymidine-5'-monophosphate (dTMP) using 5,10-methylenetetrahydrofolate (mTHF) as a methyl donor and reductant. This reaction produces dihydrofolate (DHF) as a byproduct. This enzymatic activity provides an intracellular de novo source of dTMP, an essential precursor for DNA biosynthesis.
KEGG: pst:PSPTO_5282
STRING: 223283.PSPTO_5282
Thymidylate synthase (thyA) in P. syringae pv. tomato DC3000 is located on the chromosome at position 6006968-6007939 on the negative strand. The gene is identified by locus tag PSPTO_5282 (previously PSPTO5282) and encodes a protein with a molecular weight of 36.7 kDa and an isoelectric point of 5.60 . Understanding this genomic context is essential for designing appropriate primers for cloning and expression studies. When amplifying thyA, researchers should consider:
Including 200-300 base pairs upstream of the coding sequence to capture potential regulatory elements
Designing primers with appropriate restriction sites compatible with your expression vector
Confirming the sequence integrity after cloning to ensure no mutations were introduced
When designing an expression system for recombinant thyA from P. syringae pv. tomato, researchers should consider:
Vector selection: pET-based expression systems are commonly used for high-level expression of recombinant proteins in E. coli. For P. syringae proteins, vectors that allow moderate expression are often preferable to avoid inclusion body formation.
Affinity tags: Consider adding an N- or C-terminal His-tag for purification. Based on the charge properties of thyA (charge at pH 7: -6.96), placing the tag at the N-terminus may be advantageous to avoid interfering with the active site .
Expression host: BL21(DE3) or its derivatives are recommended for recombinant expression. For P. syringae proteins, lower expression temperatures (16-20°C) often improve solubility.
Codon optimization: Although not always necessary, codon optimization for E. coli expression may improve yields for some P. syringae proteins.
A methodology similar to that used for virulence factors in P. syringae could be adapted, where primers with appropriate restriction sites (e.g., BamHI, PstI) are used to amplify the target gene for subsequent cloning into expression vectors .
ThyA (thymidylate synthase) from P. syringae pv. tomato has several characteristics that researchers should consider:
Hydrophobicity: With a Kyte-Doolittle hydrophobicity value of -0.308, thyA is moderately hydrophilic, which generally favors soluble expression .
Charge properties: Its negative charge (-6.96) at physiological pH suggests good solubility in standard buffer systems .
Conserved domains: As a thymidylate synthase, it contains highly conserved domains for substrate binding and catalysis that should be preserved during recombinant expression.
Oligomeric state: Thymidylate synthases typically function as dimers, which may affect purification and activity assessment protocols.
These characteristics should guide your expression strategy, including buffer composition and purification approach. When designing activity assays, remember that thymidylate synthase catalyzes the reductive methylation of dUMP to dTMP using methylenetetrahydrofolate as a cofactor.
To assess proper folding and enzymatic function of recombinant thyA from P. syringae pv. tomato:
Spectroscopic methods:
Circular dichroism (CD) to evaluate secondary structure
Fluorescence spectroscopy to assess tertiary structure
Thermal shift assays to evaluate protein stability
Enzymatic activity assay:
Measure conversion of dUMP to dTMP using spectrophotometric methods
Monitor consumption of methylenetetrahydrofolate (CH2H4folate)
Compare kinetic parameters (Km, kcat) with published values for bacterial thymidylate synthases
Functional complementation:
Test whether recombinant thyA can complement a thyA deficient strain
This approach provides physiologically relevant confirmation of activity
A comparative approach using wild-type and mutant variants can provide insights into structure-function relationships. For instance, using methodologies similar to those employed for characterizing virulence factors in P. syringae, you could express the protein in a thyA-deficient strain to assess functional complementation .
While thyA itself has not been directly identified as a virulence factor in the provided search results, its role in DNA synthesis makes it essential for bacterial growth and potentially important during infection. To study potential correlations:
Gene expression analysis:
Functional studies with recombinant protein:
Develop thyA knock-out or conditional mutants
Complement with recombinant wild-type or modified thyA variants
Assess impact on bacterial growth in planta and disease symptom development
Interaction studies:
Investigate potential interactions with known virulence proteins
Examine if thyA activity is modulated during infection
While not directly associated with the type III secretion system or coronatine production (key virulence mechanisms in P. syringae), thyA function could be critical during the rapid bacterial multiplication phase within plant tissue .
Given that P. syringae pv. tomato interacts with plant defense mechanisms, studying how thyA might be involved requires specialized approaches:
Purified protein infiltration studies:
Infiltrate purified recombinant thyA into plant leaf tissue
Monitor defense responses (ROS production, callose deposition, PR gene expression)
Compare responses to known PAMPs (pathogen-associated molecular patterns)
Protein-protein interaction studies:
Use pull-down assays with plant extracts to identify potential plant targets
Employ yeast two-hybrid or BiFC (Bimolecular Fluorescence Complementation) to validate interactions
Investigate if thyA interacts with plant nucleotide metabolism enzymes
Metabolite analysis:
Monitor changes in nucleotide pools in plant tissue upon infection
Compare wild-type infection with thyA mutant infection
Assess if thyA activity affects levels of defense-related metabolites
Similar to studies of chemoreceptors like PsPto-PscC that perceive plant signals during infection , thyA might be involved in adaptation to the plant environment through its role in DNA metabolism.
A structured approach for inhibitor screening would include:
Assay development:
Optimize a spectrophotometric or fluorescence-based activity assay
Adapt to 96 or 384-well format
Establish Z-factor and signal-to-background ratios for quality control
Primary screening protocol:
Screen compound libraries at a fixed concentration (typically 10-50 μM)
Include appropriate positive controls (known thyA inhibitors like 5-fluorouracil)
Define hit criteria (typically >50% inhibition)
Secondary screening and validation:
Determine IC50 values for hit compounds
Test for selectivity against bacterial vs. plant or human thyA
Evaluate compounds for antimicrobial activity against P. syringae
In planta validation:
Test top inhibitors for disease control in plant infection assays
Monitor bacterial growth in planta in presence of inhibitors
Assess plant toxicity and systemic movement of compounds
This approach parallels methods used to identify compounds targeting other essential bacterial enzymes while being distinct from studies focusing on virulence factors like the type III secretion system .
Optimizing solubility of recombinant thyA requires attention to several key factors:
Expression temperature and induction conditions:
Lower temperatures (16-20°C) often increase solubility
Gradual induction with lower IPTG concentrations (0.1-0.5 mM)
Extended expression periods (16-24 hours) at lower temperatures
Buffer optimization:
Fusion partners to enhance solubility:
MBP (maltose-binding protein)
SUMO
Thioredoxin
Co-expression with chaperones:
GroEL/GroES system
DnaK/DnaJ/GrpE system
A systematic approach testing combinations of these factors should be implemented. For example, comparing expression at 37°C for 4 hours versus 18°C for 18 hours with varying IPTG concentrations would provide valuable optimization data. A similar methodological approach was used for expressing virulence factors from P. syringae as described in the literature .
For NMR and other structural studies requiring isotope labeling:
Minimal media composition for isotope labeling:
Expression optimization in minimal media:
Pre-adaptation of cells to minimal media before induction
Extended induction times (16-24 hours)
Lower temperature (18°C) to compensate for slower growth
Selective labeling strategies:
Amino acid type-selective labeling for specific NMR experiments
Deuteration protocols for larger proteins (>20 kDa)
Purification considerations:
Maintain protein stability during extended purification
Minimize number of purification steps to preserve yield
Buffer optimization for NMR experiments
A typical protocol might involve growing cells in rich media until OD600 ~0.8, then gentle centrifugation and resuspension in isotopically labeled minimal media, followed by a 30-minute adaptation period before induction.
Creating thyA knockout strains presents unique challenges due to its essential role in thymidine synthesis:
Supplementation strategies:
Provide thymidine (50-100 μg/ml) in growth media
Use rich media with yeast extract containing thymidine precursors
Consider concentration gradients to determine optimal supplementation
Conditional knockout approaches:
Temperature-sensitive mutants
Controllable promoter systems (like PBAD or Ptet)
Antisense RNA strategies
Complementation testing:
Plasmid-based expression with inducible promoters
Integration of recombinant thyA into alternative genomic locations
Co-expression of wild-type and mutant thyA to assess dominant-negative effects
Growth analysis protocol:
Monitor growth curves with and without thymidine
Assess viability using Live/Dead staining
Examine morphological changes by microscopy
Such approaches have been successful for studying other essential genes in P. syringae. A systematic testing of thyA functionality could employ methods similar to those used for virulence factors like tvrR, adapting the complementation strategies to account for thyA's essential nature .
Proper analysis of thyA kinetic data requires consideration of P. syringae-specific regulatory factors:
Steady-state kinetics analysis:
Determine Km for dUMP and methylenetetrahydrofolate
Calculate kcat and catalytic efficiency (kcat/Km)
Compare with parameters from other bacterial species
Allosteric regulation assessment:
Test potential allosteric effectors (dTTP, folate derivatives)
Generate Hill plots to identify cooperative binding
Analyze data using appropriate non-Michaelis-Menten models if needed
pH and temperature dependencies:
Determine pH optima relevant to P. syringae's natural environment (pH 5.5-6.5 in plant apoplast)
Analyze temperature effects reflecting plant infection conditions (18-28°C)
| Parameter | Typical Range for Bacterial thyA | Analysis Method |
|---|---|---|
| Km (dUMP) | 1-10 μM | Michaelis-Menten or Lineweaver-Burk |
| Km (CH2H4folate) | 5-50 μM | Michaelis-Menten or Lineweaver-Burk |
| kcat | 1-10 s-1 | From Vmax and enzyme concentration |
| pH optimum | 6.0-7.5 | Bell-shaped curve analysis |
| Temperature optimum | 25-37°C | Arrhenius plot analysis |
This analytical approach aligns with methods used to study enzyme activities in P. syringae during infection processes, as seen in studies of metabolic adaptations during plant colonization .
To identify unique features for selective inhibitor design:
Comparative sequence analysis:
Multiple sequence alignment of thyA from P. syringae, plants, and humans
Identification of conserved catalytic residues versus divergent regions
Analysis of Pseudomonas-specific sequence motifs
Homology modeling and structural comparison:
Generate homology model based on crystal structures of bacterial thyA
Compare with plant thyA structures
Identify differential binding pocket features and surface properties
Molecular dynamics simulations:
Analyze dynamics of substrate binding sites
Identify transiently open pockets unique to bacterial enzymes
Evaluate water networks and flexibility differences
Virtual screening workflow:
Define bacterial-specific binding sites
Screen compound libraries against P. syringae thyA model
Counter-screen against plant thyA models to prioritize selective compounds
This approach parallels methods used in studying species-specific features of other enzymes in plant pathogens, while focusing on the unique aspects of nucleotide metabolism in P. syringae .
Contradictory results between in vitro and in planta conditions are common and can be addressed through:
Environmental factors assessment:
Compare buffer conditions to apoplastic fluid composition
Adjust pH to match plant environment (pH 5.5-6.5)
Include plant metabolites that may affect enzyme activity
Post-translational modifications:
Assess phosphorylation or other modifications occurring in planta
Compare enzyme from cultured bacteria versus bacteria isolated from plants
Use phosphomimetic mutations to test effects of potential modifications
Protein-protein interactions:
Test if plant proteins interact with and modify thyA activity
Investigate if bacterial virulence factors affect thyA function
Use pull-down experiments with plant extracts to identify interactors
Methodological reconciliation approach:
Systematically vary conditions to bridge in vitro and in planta observations
Develop intermediate complexity assays (e.g., using apoplastic fluid extracts)
Consider time-dependent changes occurring during infection
This approach resembles methods used to study bacterial adaptation to plant environments, as seen in research on chemoreceptors that respond to plant-derived signals like GABA and L-Pro during the infection process .
Recombinant thyA can serve as a model system for studying bacterial adaptations:
Resistance mechanism studies:
Express thyA variants from resistant strains
Characterize kinetic parameters and inhibitor binding
Correlate structural changes with resistance phenotypes
Adaptation to plant-derived inhibitors:
Test thyA activity in presence of plant secondary metabolites
Identify compounds that interact specifically with bacterial thyA
Study evolutionary adaptations in thyA across P. syringae pathovars
Experimental evolution approach:
Generate adapted strains through serial passage with sublethal inhibitor concentrations
Sequence thyA and identify mutations
Express and characterize recombinant mutant proteins
Differential susceptibility analysis:
Compare thyA from different P. syringae pathovars
Correlate variations with host range and infection strategies
Identify host-specific adaptations in enzyme function
This application connects to research on bacterial adaptation mechanisms during plant infection, similar to studies of chemoreceptors that evolve to detect specific plant-derived compounds during pathogenesis .
Structure-based antimicrobial development targeting thyA requires:
High-resolution structural data acquisition:
X-ray crystallography of P. syringae thyA with substrates/inhibitors
Cryo-EM for capturing different conformational states
NMR for dynamics and ligand binding studies
Fragment-based drug design workflow:
Screen fragment libraries against purified thyA
Use thermal shift assays, STD-NMR, or crystallography for fragment validation
Employ fragment growing, merging, and linking strategies
Computational screening optimization:
Generate P. syringae-specific pharmacophore models
Implement molecular dynamics-based virtual screening
Use quantum mechanics calculations for transition state inhibitors
Resistance prediction and mitigation:
Identify resistance hotspots through sequence analysis
Design inhibitors targeting highly conserved residues
Develop combination approaches targeting multiple sites
This structured approach reflects advanced drug discovery methods while focusing specifically on the unique aspects of targeting thyA in the context of plant pathology, distinct from commercial applications.
CRISPR-Cas9 approaches for studying thyA require specialized considerations:
CRISPR system adaptation for P. syringae:
Optimize codon usage of Cas9 for Pseudomonas expression
Select appropriate promoters (e.g., constitutive vs. inducible)
Engineer efficient guide RNA delivery systems
Guide RNA design strategy:
Design gRNAs targeting non-essential regions of thyA for functional studies
Create libraries of gRNAs for domain-specific targeting
Implement off-target prediction algorithms specific to P. syringae genome
Homology-directed repair templates:
Design templates for precise mutations in catalytic residues
Create reporter fusions for localization studies
Develop conditional alleles for essential function investigation
Phenotypic characterization protocol:
Assess growth in minimal versus supplemented media
Evaluate virulence in susceptible plant hosts
Monitor nucleotide pool balance and stress responses
This methodological approach builds upon emerging genome editing technologies adapted specifically for studying essential genes in plant pathogens, representing an advancement over traditional mutagenesis methods used in earlier studies of P. syringae virulence factors .