KEGG: pst:PSPTO_1749
STRING: 223283.PSPTO_1749
Cytidylate kinase in P. syringae pv. tomato DC3000 is encoded within the bacterial chromosome. The gene is part of the nucleotide biosynthesis pathway and is typically found in a genomic neighborhood with other genes involved in nucleotide metabolism. Unlike effector proteins that are regulated by the HrpL alternative sigma factor, cmk is constitutively expressed as part of the core metabolic functions . The gene is essential for bacterial viability since it catalyzes a critical step in the pyrimidine biosynthesis pathway, making it an interesting target for understanding bacterial metabolism during infection processes.
While the specific crystal structure of P. syringae pv. tomato cmk has not been fully characterized in the provided search results, structural analysis approaches similar to those used for the GntR family transcriptional regulator from P. syringae pv. tomato DC3000 could be applied . Bacterial cytidylate kinases typically contain a nucleotide-binding domain with conserved motifs for ATP binding and catalysis. Comparative structural analysis would likely reveal high conservation in the active site region while potentially showing species-specific variations in peripheral domains. These structural differences could be exploited for the development of specific inhibitors targeting P. syringae metabolism.
For effective production of recombinant P. syringae pv. tomato cmk, E. coli-based expression systems are generally recommended. The pET expression system under the control of T7 promoter has proven successful for many bacterial enzymes. Key considerations include:
Codon optimization for E. coli (or alternative host)
Addition of affinity tags (His6-tag is commonly used) for purification
Temperature optimization (often 16-18°C) to enhance protein solubility
Use of bacterial strains with extra copies of rare tRNAs (like Rosetta or CodonPlus)
Expression can be verified using SDS-PAGE analysis followed by Western blotting with anti-His antibodies if a His-tag is incorporated. For purification, immobilized metal affinity chromatography (IMAC) followed by size exclusion chromatography typically yields highly pure protein suitable for enzymatic and structural studies .
Cytidylate kinase serves as an ideal metabolic marker for studying changes in nucleotide metabolism during plant infection. Researchers can use recombinant cmk to:
Develop activity assays that measure nucleotide flux during different infection stages
Create fluorescently-tagged cmk variants to visualize metabolic compartmentalization during infection
Perform metabolomic studies comparing wild-type and cmk-modified strains
For experimental design, researchers could isolate bacteria from infected plant tissues at different timepoints (early infection, established infection, systemic spread) and measure cmk activity in correlation with bacterial load and symptom development. This approach could reveal how nucleotide metabolism adapts during different infection phases and in response to host defenses .
While cmk is primarily a metabolic enzyme, its activity may indirectly influence virulence mechanisms like the type III secretion system (T3SS). The T3SS in P. syringae pv. tomato DC3000 requires substantial energy for assembly and operation, which is derived from nucleotide metabolism . Experimental approaches to investigate this connection could include:
Creating conditional cmk mutants to observe effects on effector protein production and secretion
Measuring ATP/GTP pools in wild-type versus cmk-modified strains during T3SS activation
Analyzing transcriptional coupling between metabolic and virulence genes during infection
| Condition | ATP Levels | GTP Levels | T3SS Activity | Effector Translocation |
|---|---|---|---|---|
| Wild-type | 100% | 100% | Normal | Normal |
| cmk knockdown | Reduced | Reduced | Compromised | Reduced |
| cmk overexpression | Elevated | Varied | Enhanced | Variable |
| cmk inhibition | Severely reduced | Moderately reduced | Blocked | Minimal |
This theoretical data table illustrates potential relationships between cmk activity and T3SS function that could be experimentally verified .
P. syringae pv. tomato must adapt its metabolism when facing plant immune responses. When plants detect bacterial pathogens through pattern recognition receptors or effector-triggered immunity, they often produce antimicrobial compounds and reactive oxygen species that can damage bacterial DNA and disrupt nucleotide pools.
Experimental approaches to study cmk's role in this adaptation could include:
Exposing P. syringae to plant immune elicitors and measuring changes in cmk expression and activity
Comparing survival rates of wild-type versus cmk-modified strains when exposed to plant defense molecules
Analyzing whether cmk activity correlates with bacterial persistence in resistant versus susceptible plant varieties
Research could examine whether cmk upregulation helps bacteria repair damage to nucleotide pools caused by plant immune responses, potentially connecting basic metabolism to pathogen survival strategies.
For reliable measurement of recombinant P. syringae pv. tomato cmk activity, a coupled spectrophotometric assay is recommended. The standard reaction mixture should contain:
50 mM Tris-HCl (pH 7.5)
50 mM KCl
5 mM MgCl₂
1 mM ATP
0.5 mM CMP
0.2 mM NADH
Coupling enzymes (pyruvate kinase and lactate dehydrogenase)
0.5-5 μg purified recombinant cmk
The reaction is monitored by the decrease in NADH absorbance at 340 nm, which correlates with ADP production as cmk phosphorylates CMP to CDP. Key parameters to optimize include:
pH range (typically 7.2-8.0)
Magnesium concentration (critical for ATP binding)
Temperature (usually 25-37°C)
Substrate concentrations for kinetic analysis
Enzyme kinetics should be determined under steady-state conditions with varying concentrations of both ATP and CMP to generate Lineweaver-Burk plots for determining Km and Vmax values .
To investigate potential protein-protein interactions involving cmk in P. syringae pv. tomato, multiple complementary approaches should be employed:
Bacterial Two-Hybrid System: This approach can be used to screen for potential interaction partners in vivo. By fusing cmk to one domain of a split reporter protein and creating a library of bacterial proteins fused to the complementary domain, interactions can be detected through reporter activation.
Co-Immunoprecipitation: Using antibodies against either native cmk or epitope tags on recombinant cmk, protein complexes can be isolated from bacterial lysates and analyzed by mass spectrometry to identify interaction partners.
Biolayer Interferometry or Surface Plasmon Resonance: These techniques can measure direct binding between purified recombinant cmk and candidate interacting proteins, providing quantitative binding constants.
Crosslinking Mass Spectrometry: This advanced approach can capture transient interactions and precisely map interaction interfaces through chemical crosslinking followed by mass spectrometry analysis.
When designing these experiments, it's important to consider that cmk may interact with components of metabolic complexes, nucleotide synthesis enzymes, or potentially regulatory proteins that coordinate metabolism with virulence .
Investigating the relationship between cmk inhibition and P. syringae virulence requires multi-faceted approaches:
Generation of Conditional Mutants: Since cmk is likely essential, temperature-sensitive mutants or inducible knockdown strains should be created rather than complete knockouts.
Chemical Inhibition Studies: Identify specific inhibitors of bacterial cmk that have minimal effect on plant nucleotide metabolism. Test these in planta during infection processes.
Plant Infection Assays: Compare bacterial growth curves between wild-type and cmk-inhibited strains using methods similar to those employed in the YDA kinase studies . Key measurements include:
Bacterial population dynamics (CFU/cm²)
Disease symptom development
Expression of virulence genes
Effector protein translocation efficiency
Metabolomic Analysis: Compare nucleotide pools between wild-type and cmk-inhibited strains during infection to correlate metabolic changes with virulence.
| Treatment | Bacterial Growth (log CFU/cm²) | Disease Symptoms (0-5 scale) | T3SS Gene Expression | Nucleotide Pool Balance |
|---|---|---|---|---|
| Wild-type | 7.5 ± 0.3 | 4.2 ± 0.4 | 100% | Balanced |
| cmk inhibitor (10 μM) | 6.2 ± 0.4 | 2.8 ± 0.5 | 75% | CMP accumulation |
| cmk inhibitor (50 μM) | 4.8 ± 0.5 | 1.5 ± 0.6 | 40% | Severe imbalance |
| Mock (DMSO) | 7.4 ± 0.2 | 4.1 ± 0.3 | 98% | Balanced |
This hypothetical data illustrates how cmk inhibition might correlate with reduced virulence parameters, which could be experimentally verified using approaches similar to those used in studying YDA kinase effects on plant immunity .
Determining substrate specificity of recombinant P. syringae pv. tomato cmk involves systematic biochemical characterization:
Substrate Range Testing: Assess activity with various nucleoside monophosphates (CMP, UMP, AMP, GMP, IMP) using standardized assay conditions to determine substrate preference.
Kinetic Parameter Determination: Calculate Km, kcat, and catalytic efficiency (kcat/Km) for each viable substrate to quantitatively rank substrate preferences.
pH and Temperature Profiling: Determine optimal conditions and how they might differ for different substrates.
Mutational Analysis: Create site-directed mutants of key active site residues to map the structural determinants of substrate specificity.
Computational Modeling: If structural data becomes available, molecular docking and molecular dynamics simulations can predict substrate binding modes and energetics.
Results should be presented as comprehensive kinetic parameters:
| Substrate | Km (μM) | kcat (s⁻¹) | kcat/Km (M⁻¹s⁻¹) | Relative Efficiency (%) |
|---|---|---|---|---|
| CMP | 45 ± 5 | 125 ± 10 | 2.8 × 10⁶ | 100 |
| UMP | 120 ± 15 | 85 ± 8 | 7.1 × 10⁵ | 25 |
| AMP | 350 ± 30 | 12 ± 3 | 3.4 × 10⁴ | 1.2 |
| GMP | 420 ± 40 | 8 ± 2 | 1.9 × 10⁴ | 0.7 |
| IMP | 280 ± 25 | 15 ± 4 | 5.4 × 10⁴ | 1.9 |
This hypothetical data table illustrates how substrate specificity would be characterized and reported in a comprehensive enzymatic study .
Understanding structural differences between bacterial and plant cytidylate kinases is crucial for developing pathogen-specific inhibitors. Comparative structural analysis should focus on:
Primary Sequence Analysis: Alignment of P. syringae cmk with plant homologs to identify conserved catalytic residues versus divergent regions.
3D Structural Comparison: If crystal structures are available (similar to the approach used for the GntR family transcriptional regulator ), superimpose bacterial and plant enzymes to identify unique pockets or conformational differences.
Active Site Architecture: Compare substrate binding sites, identifying amino acid differences that could be exploited for selective inhibition.
Surface Electrostatics: Analyze the electrostatic potential distributions that might affect inhibitor binding differently between bacterial and plant enzymes.
Allosteric Sites: Identify potential regulatory sites present in bacterial cmk that may be absent in plant homologs.
Key structural differences, once identified, could be presented in a table highlighting potential target sites for selective inhibitors:
| Structural Feature | P. syringae cmk | Plant cmk | Potential for Selective Targeting |
|---|---|---|---|
| ATP binding loop | Glycine-rich GXXGXGK | Modified GXXAXGK | Moderate |
| CMP binding pocket | Hydrophobic residues | More polar character | High |
| Interdomain linker | Short, rigid | Longer, flexible | High |
| C-terminal region | Extended α-helix | Truncated | Very high |
| Allosteric pocket | Present near dimer interface | Absent | Excellent |
Cytidylate kinase inhibitors could potentially synergize with plant immunity enhancers in a dual-action approach to control P. syringae infections. This strategy would combine metabolic disruption of the pathogen with strengthened host defenses:
Mechanism of Synergy: While cmk inhibitors would disrupt bacterial nucleotide metabolism, plant immunity enhancers (like those targeting the YDA kinase pathway ) would simultaneously boost plant defense responses, creating a multi-pronged attack.
Experimental Design: Tests should include:
Sequential treatments (immunity enhancer followed by cmk inhibitor)
Simultaneous treatments
Concentration optimization for both components
Assessment of bacterial growth suppression and plant health parameters
Expected Outcomes: The combination therapy could potentially:
Reduce effective concentrations of both components
Decrease likelihood of resistance development
Provide more durable protection
One approach would be to combine cmk inhibitors with enhancers of the YDA kinase pathway, which has been shown to control immune responses in both Arabidopsis and tomato against P. syringae pv. tomato DC3000 .
Developing recombinant cmk as a research tool requires addressing several key considerations:
Expression and Purification Optimization:
Design constructs with various affinity tags (His, GST, MBP)
Optimize soluble expression conditions
Develop multi-step purification protocols for highest purity
Ensure stability during storage (buffer conditions, additives)
Functional Characterization:
Develop robust activity assays adaptable to different experimental conditions
Validate enzyme parameters match native cmk behavior
Create inactive mutants as controls
Tool Development Applications:
Engineer substrate-specific variants for metabolic pathway tracing
Develop cmk-based biosensors to monitor nucleotide pools in vivo
Create fluorescently-labeled variants for localization studies
In Planta Applications:
Design delivery methods for recombinant cmk into plant tissues
Develop assays to measure cmk activity in planta during infection
Create protocols for extracting bacterial proteins from plant tissue without losing activity
This approach would leverage expertise in protein biochemistry to create versatile tools for studying P. syringae metabolism similar to how the calmodulin-dependent adenylate cyclase (Cya) reporter system was optimized for studying the translocation of P. syringae TTSS effectors .