KEGG: psb:Psyr_4451
STRING: 205918.Psyr_4451
UreE2 in Pseudomonas syringae functions as a nickel metallochaperone responsible for acquiring and specifically delivering Ni²⁺ ions required for urease activation. The UreE protein forms dimers (UreE2) that work within the urease maturation pathway, playing a critical role in the assembly of the catalytically active urease enzyme. Similar to what has been observed in Helicobacter pylori, the UreE2 in P. syringae is likely essential for the proper functioning of urease, which contributes to bacterial survival under various environmental conditions . Urease activation involves the assembly of di-nickel active sites, requiring the coordinated action of several accessory proteins including UreE, which has been identified specifically as the metallochaperone component responsible for nickel delivery .
UreE2 forms a stable protein complex with HypA (a hydrogenase maturation protein), creating the HypA- UreE2 complex that has unique nickel-binding properties. This interaction appears to be functionally significant as the complex protects UreE from hydrolytic degradation and contains a high-affinity (nanomolar range) Ni²⁺ binding site that remains stable even under acidic conditions (pH 6.3) . Research indicates that HypA and UreE2 act as co-metallochaperones that facilitate targeted delivery of Ni²⁺ to apo-urease with high specificity . The interaction between these proteins has been demonstrated both in vitro and in vivo, although attempts to demonstrate direct Ni-transfer between the proteins have yielded variable results depending on the experimental conditions and protein variants used .
The UreE2 protein likely contributes to P. syringae pathogenicity through its role in urease activation, which may enhance bacterial survival during host colonization. Urease activity can help bacteria neutralize acidic environments encountered during infection and provide a nitrogen source through urea hydrolysis. While the search results don't specifically address UreE2's role in P. syringae pathogenicity, we can infer its importance based on studies in other bacterial pathogens like H. pylori, where urease activity is vital for acid resistance and colonization . In P. syringae, which causes bacterial leaf spot of watermelon, cantaloupe, and squash, the ability to survive environmental stresses is crucial for successful host infection and disease development .
The gene encoding UreE2 in P. syringae likely evolved through mechanisms of horizontal gene transfer and homologous recombination, similar to other virulence factors in this species. Recent genomic analyses of P. syringae strains have revealed significant genome plasticity, with evidence of extensive homologous recombination between different phylogroups (specifically 2a and 2b) . While the search results don't specifically mention ureE2 gene evolution, P. syringae genomes show enrichment for recombination in pathways involved in ATP-dependent transport and metabolism of amino acids, bacterial motility, and secretion systems . The acquisition of accessory genes through integrative and conjugative elements and plasmid loci has been documented for virulence factors in P. syringae, suggesting similar mechanisms may apply to urease accessory genes .
For optimal expression and purification of recombinant P. syringae UreE2, researchers should consider the following methodological approach:
Expression System Selection: Use E. coli BL21(DE3) with a pET-based vector containing the ureE2 gene with a C-terminal His-tag for efficient purification.
Expression Conditions:
Grow transformed cells in LB medium supplemented with appropriate antibiotics at 37°C until OD600 reaches 0.6-0.8
Induce protein expression with 0.5-1.0 mM IPTG
Lower temperature to 18-25°C post-induction and continue expression for 16-18 hours to enhance soluble protein yield
Cell Lysis and Extraction:
Harvest cells by centrifugation (5,000 × g, 10 minutes, 4°C)
Resuspend in lysis buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, and protease inhibitors
Lyse cells using sonication or mechanical disruption
Purification Protocol:
Initial purification using Ni-NTA affinity chromatography with elution via an imidazole gradient (50-300 mM)
Secondary purification using size exclusion chromatography to obtain pure UreE2 dimers
Ensure all buffers contain trace amounts of nickel (1-5 μM) to stabilize the protein unless studying apo-forms
Quality Control:
Assess purity by SDS-PAGE (>95% purity target)
Verify protein identity using western blotting and/or mass spectrometry
Confirm proper folding through circular dichroism spectroscopy
This methodology draws upon standard recombinant protein techniques with specific adaptations based on the metallochaperone nature of UreE2 proteins .
To effectively measure the nickel binding properties of UreE2, researchers should employ a combination of complementary techniques:
Isothermal Titration Calorimetry (ITC):
Prepare purified UreE2 (20-50 μM) in buffer free of metal chelators
Titrate with NiCl2 solution (200-500 μM) using small incremental injections
Perform experiments at both neutral (pH 7.4) and acidic (pH 6.3) conditions to assess pH dependency
Analyze data using appropriate binding models to determine stoichiometry, binding affinity (Kd), enthalpy (ΔH), and entropy (ΔS) changes
Fluorometric Methods:
Use intrinsic tryptophan fluorescence or external fluorescent probes to monitor conformational changes upon nickel binding
Prepare protein samples (1-5 μM) in appropriate buffer
Titrate with increasing concentrations of NiCl2
Monitor fluorescence emission spectra after each addition
Equilibrium Dialysis:
Place purified UreE2 in dialysis cassettes against buffer containing defined concentrations of Ni²⁺
Allow equilibration for 12-24 hours
Measure free and bound nickel using atomic absorption spectroscopy or colorimetric assays
Metal Competition Assays:
Pre-load UreE2 with Ni²⁺
Challenge with increasing concentrations of competing metals (Zn²⁺, Cu²⁺, Co²⁺)
Monitor displacement using spectroscopic techniques
Calculate relative binding affinities
These methodologies have been successfully employed in studying the nickel binding properties of the HypA- UreE2 complex, revealing a unique high-affinity (nM) Ni²⁺ binding site that is maintained under acidic conditions .
Multiple complementary techniques can be employed to study protein-protein interactions involving UreE2:
Pull-down Assays and Co-immunoprecipitation:
Express UreE2 with an affinity tag (His, GST, or FLAG)
Immobilize on appropriate resin and incubate with candidate interaction partners
Wash extensively to remove non-specific binders
Elute and analyze bound proteins by SDS-PAGE and western blotting or mass spectrometry
Surface Plasmon Resonance (SPR):
Immobilize purified UreE2 on a sensor chip
Flow potential binding partners across the surface at various concentrations
Monitor real-time association and dissociation
Determine kinetic parameters (kon, koff) and equilibrium dissociation constants (KD)
Isothermal Titration Calorimetry (ITC):
Fluorescence Resonance Energy Transfer (FRET):
Label UreE2 and potential partner with appropriate fluorophore pairs
Monitor changes in fluorescence emission upon interaction
Can be performed in solution or in cellular contexts
Cross-linking Coupled with Mass Spectrometry:
Treat protein complexes with cross-linking reagents to stabilize interactions
Digest cross-linked complexes with proteases
Analyze resulting peptides using mass spectrometry
Identify cross-linked peptides to map interaction interfaces
Analytical Ultracentrifugation:
Monitor sedimentation velocity or equilibrium to detect complex formation
Determine stoichiometry and binding constants of interactions
Research has shown that UreE2 forms a stable complex with HypA with micromolar affinity, and this interaction protects UreE from hydrolytic degradation . Additionally, nickel-specific cross-linking dyes have been used after SDS-PAGE separation to demonstrate Ni-transfer between modified HypA variants and UreE2 .
The pH-dependent behavior of UreE2-associated protein complexes is critical for understanding their function under varying physiological conditions:
Structural Stability Assessment:
Employ circular dichroism (CD) spectroscopy at varying pH values (5.0-8.0)
Monitor secondary structure changes as a function of pH
Use differential scanning calorimetry to determine melting temperatures at different pH values
Functional Assays at Different pH Values:
Protein-Protein Interaction Dynamics:
Perform pull-down assays or SPR at varying pH
Determine if complex formation or dissociation is pH-dependent
Quantify changes in binding affinities with pH shifts
Conformational Dynamics:
Use hydrogen-deuterium exchange mass spectrometry at different pH values
Identify regions with altered solvent accessibility as pH changes
Map pH-sensitive domains involved in complex assembly or function
Functional Output Measurement:
Design in vitro urease activation assays at varying pH
Quantify the efficiency of nickel transfer from UreE2 to urease as a function of pH
Correlate with bacterial survival under acid stress conditions
The maintenance of the high-affinity nickel binding site in the HypA- UreE2 complex under acidic conditions suggests an evolved mechanism to ensure urease activation even during acid stress, which is particularly relevant for bacterial pathogens that must navigate acidic environments during host colonization .
The role of UreE2 in horizontal gene transfer (HGT) and pathogen evolution can be investigated through several research approaches:
Comparative Genomics Analysis:
Compare ureE2 gene sequences across different P. syringae strains and related species
Identify signatures of HGT such as atypical GC content, codon usage bias, or flanking mobile genetic elements
Map the distribution of ureE2 against the species phylogeny to detect incongruences suggesting HGT
Phylogenetic Reconstruction:
Construct phylogenetic trees based on ureE2 sequences and compare with whole-genome or housekeeping gene trees
Identify instances where ureE2 phylogeny conflicts with accepted species relationships
Apply statistical tests to confirm significant phylogenetic incongruence
Genomic Context Analysis:
Examine the genomic neighborhood of ureE2 to identify if it resides within mobile genetic elements
Look for integrative and conjugative elements (ICEs) or plasmid-associated sequences
P. syringae genomes show evidence of extensive recombination and HGT affecting pathogenicity traits, including the acquisition of various genes through ICEs and plasmid loci
Experimental Evolution Studies:
Design laboratory evolution experiments under selective pressures relevant to urease function
Monitor the acquisition, loss, or modification of ureE2 and associated genes
Sequence evolved strains to identify mechanisms of genetic change
Population Genomics:
Analyze population-level variation in ureE2 across environmental and clinical isolates
Calculate metrics of genetic diversity, selection, and recombination
Research on P. syringae has shown significant genome-wide homologous recombination between phylogroups, particularly affecting pathways involved in metabolism, motility, and secretion systems
Recent studies on P. syringae have revealed the emergence of hybrid phylogenetic groups through extensive genome-wide homologous recombination, with up to 30.54% of core genomes affected by recombination events . This demonstrates the dynamic nature of P. syringae genomes and suggests that genes involved in host adaptation, including those in urease pathways, may similarly be subject to HGT and recombination.
To distinguish between the functions of UreE2 and other nickel chaperones in P. syringae, researchers should implement the following methodological approaches:
Gene Deletion and Complementation Studies:
Generate clean deletion mutants of ureE2 and other nickel chaperone genes
Create complementation strains with controlled expression
Measure urease activity, nickel content, and growth under various conditions
Assess phenotypes in planta to determine pathogenicity impacts
Protein Domain Swap Experiments:
Design chimeric proteins containing domains from UreE2 and other nickel chaperones
Express these in appropriate deletion backgrounds
Determine which domains are responsible for specific functions or interactions
Identify unique functional regions that distinguish UreE2 from other chaperones
Selective Nickel Loading Assays:
Develop protocols to specifically load UreE2 or alternative chaperones with nickel
Track nickel transfer to target proteins using radioactive ⁶³Ni or fluorescent probes
Determine transfer kinetics and specificities
Compare the efficiency of nickel delivery to urease versus hydrogenase pathways
Differential Protein-Protein Interaction Networks:
Use pull-down assays coupled with mass spectrometry to identify interaction partners
Compare interactomes of UreE2 with those of other nickel chaperones
Confirm specific interactions using direct binding assays
Research has shown that UreE2 forms specific complexes with HypA that contain unique high-affinity nickel binding sites
Conditional Expression Systems:
Create strains with chaperone genes under control of inducible promoters
Manipulate expression levels of individual chaperones to determine functional hierarchy
Assess competition between chaperones for limited nickel pools
The HypA- UreE2 complex has been shown to contain a unique high-affinity (nM) Ni²⁺ binding site not present in either protein alone, suggesting cooperative action in nickel handling . Understanding the distinguishing features of UreE2 compared to other nickel chaperones is essential for developing targeted interventions that might disrupt specific metal homeostasis pathways in bacterial pathogens.
Studying the kinetics of nickel transfer from UreE2 to urease requires sophisticated analytical approaches that can capture this dynamic process:
Real-time Fluorescence Spectroscopy:
Label UreE2 with environment-sensitive fluorophores that respond to metal binding/release
Monitor fluorescence changes during incubation with apo-urease
Calculate transfer rates under varying conditions (temperature, pH, ionic strength)
Determine the effect of accessory proteins like HypA on transfer kinetics
Stopped-flow Spectroscopy:
Rapidly mix Ni-loaded UreE2 with apo-urease
Monitor spectral changes on millisecond timescales
Derive rate constants for different steps in the transfer process
Test competing models of direct transfer versus dissociative mechanisms
Radioisotope Tracking:
Load UreE2 with ⁶³Ni
Incubate with apo-urease for varying time periods
Separate proteins and quantify nickel distribution
Calculate transfer rates and efficiency
Urease Activity Assays Following Timed Incubations:
Pre-load UreE2 with nickel
Incubate with apo-urease for defined time intervals
Measure urease activity as a function of incubation time
Correlate activity development with nickel transfer
Native Mass Spectrometry:
Monitor changes in the mass of urease and UreE2 complexes over time
Detect intermediate species in the transfer process
Determine stoichiometry changes during the reaction
Nickel-Specific Cross-linking Assays:
Reconstitution Assays with Purified Components:
Systematically vary the components in reconstitution mixtures
Test the impact of accessory proteins (UreG, UreF, UreH) on transfer kinetics
Determine rate-limiting steps in the complete urease maturation pathway
Previous studies attempting to demonstrate Ni-transfer between HypA and UreE2 yielded ambiguous results, highlighting the technical challenges in studying these processes . Separation of tightly bound Ni,Zn-GS-HypA- UreE2 complexes required denaturing conditions or additional cofactors such as Mg, GTP, and UreG2, suggesting that nickel transfer in vivo may involve complex, multi-component interactions .
Understanding the structure-function relationship of UreE2 across different bacterial pathogens requires a comprehensive comparative approach:
Comparative Structural Analysis:
Determine crystal structures of UreE2 from multiple bacterial species
Perform structural alignments to identify conserved and variable regions
Map nickel-binding residues and protein interaction interfaces
Correlate structural differences with known functional variations
Structure-Guided Mutagenesis:
Design mutations targeting conserved or variable residues across species
Express mutant proteins and assess impacts on:
Nickel binding affinity and stoichiometry
Protein-protein interactions
In vivo urease activation
Compare the effects of equivalent mutations across species
Domain Swapping Between Species:
Create chimeric UreE2 proteins containing domains from different bacterial species
Assess functionality in heterologous systems
Identify domains responsible for species-specific functions or interactions
Comparative Biochemical Characterization:
Measure and compare nickel binding properties (affinity, stoichiometry) across species
Determine thermal stability and pH sensitivity profiles
Assess protein-protein interaction networks
Research has shown that the HypA- UreE2 complex from H. pylori contains a unique high-affinity nickel binding site that is maintained under acidic conditions
Phylogenetic Analysis Coupled with Functional Mapping:
Reconstruct the evolutionary history of UreE2 across bacterial species
Map functional characteristics onto the phylogenetic tree
Identify evolutionary patterns and potential adaptive changes
Heterologous Complementation Studies:
Express UreE2 from different species in a model organism lacking endogenous UreE
Assess the ability to restore urease activity
Quantify complementation efficiency to determine functional conservation
While the search results primarily focus on UreE2 from H. pylori , the approaches outlined above would allow researchers to systematically compare UreE2 proteins from different bacterial pathogens, including P. syringae. Such comparative studies could reveal conserved mechanisms of nickel delivery as well as species-specific adaptations that might be targeted for antimicrobial development.
Researchers working with recombinant UreE2 often encounter several technical challenges that can be addressed through specific methodological approaches:
Protein Solubility Issues:
Challenge: UreE2 may form inclusion bodies during overexpression
Solutions:
Lower expression temperature to 16-18°C after induction
Use solubility-enhancing fusion tags (MBP, SUMO, TrxA)
Optimize induction conditions (reduced IPTG concentration, longer expression time)
Add low concentrations of nickel (1-5 μM) to expression media to stabilize the native conformation
Metal Contamination:
Challenge: Background metal contamination affecting binding studies
Solutions:
Treat all buffers with Chelex-100 resin to remove trace metals
Use high-purity reagents and ultrapure water
Include negative controls without protein in all metal binding experiments
Consider using plastic labware instead of glass to minimize metal leaching
Protein Stability During Purification:
Challenge: UreE proteins can be susceptible to degradation, as observed in studies with UreE from other species
Solutions:
Maintain low temperature (4°C) throughout purification
Include protease inhibitor cocktails in all buffers
Add reducing agents (1-5 mM DTT or TCEP) to prevent oxidation of cysteine residues
Proceed quickly through purification steps
Consider forming the HypA- UreE2 complex, which has been shown to protect UreE from hydrolytic degradation
Oligomerization State Variability:
Challenge: UreE2 may exist in multiple oligomeric states affecting functional studies
Solutions:
Analyze oligomeric state by size exclusion chromatography
Use native PAGE to confirm dimer formation
Include stabilizing agents (glycerol, low concentrations of nickel) in storage buffers
Verify oligomeric state before functional assays
Low Yield of Functional Protein:
Challenge: Obtaining sufficient quantities of functional UreE2
Solutions:
Optimize codon usage for expression host
Consider alternative expression systems (Pseudomonas-based expression for P. syringae proteins)
Scale up culture volumes and optimize cell density before induction
Implement auto-induction media for higher biomass and protein yields
Assay Interference:
Challenge: Interference in nickel-binding or protein interaction assays
Solutions:
Carefully select buffer components to avoid those that chelate metals
Include appropriate controls for background binding
Validate results using multiple independent techniques
Consider the impact of His-tags on metal binding studies and remove if necessary
By implementing these targeted strategies, researchers can overcome common challenges in working with recombinant UreE2, ensuring the production of high-quality protein for structural and functional studies.
To validate the biological relevance of in vitro findings about UreE2, researchers should implement a multi-faceted approach that bridges laboratory observations with in vivo contexts:
Genetic Complementation Studies:
Generate ureE2 deletion mutants in P. syringae
Complement with wild-type and mutant versions based on in vitro findings
Assess restoration of urease activity and pathogenicity
Correlate phenotypic outcomes with biochemical properties identified in vitro
Site-Directed Mutagenesis Based on In Vitro Insights:
Create point mutations targeting residues identified as important in in vitro studies
Express mutant proteins in the native organism
Measure effects on urease activation, nickel binding, and protein interactions
Confirm that mutations produce expected phenotypes based on in vitro predictions
In Vivo Protein-Protein Interaction Validation:
Implement bacterial two-hybrid or split-GFP systems to confirm interactions in living cells
Perform co-immunoprecipitation from bacterial lysates
Use crosslinking approaches in intact cells followed by mass spectrometry
Compare interaction patterns with those observed in purified protein studies
Correlation with Bacterial Physiology:
Measure intracellular nickel content in wild-type and ureE2 mutant strains
Assess urease activity in response to environmental conditions (pH changes, nickel availability)
Determine if cellular responses match predictions from in vitro nickel binding studies
Research has shown that the HypA- UreE2 complex maintains high-affinity nickel binding under acidic conditions, suggesting adaptation to acid stress
Heterologous Expression Systems:
Express UreE2 variants in model organisms lacking native urease systems
Measure the ability to activate exogenous urease
Compare activity profiles with biochemical properties determined in vitro
Structural Validation in Cellular Context:
Use techniques like FRET to confirm protein conformations in vivo
Apply hydrogen-deuterium exchange mass spectrometry to bacterial lysates
Compare structural insights with those obtained from purified proteins
Pathogenicity Correlation Studies:
Assess virulence of ureE2 mutants in appropriate plant infection models
Correlate virulence defects with specific biochemical properties
Determine if complementation with variants having altered in vitro properties affects pathogenicity
By systematically connecting in vitro observations with in vivo phenotypes, researchers can establish the biological relevance of biochemical findings and develop a more comprehensive understanding of UreE2's role in bacterial physiology and pathogenesis.
Model Selection for Binding Data:
Approach: Apply information criteria (AIC, BIC) to compare alternative binding models
Implementation:
Fit experimental data to multiple models (single-site, multiple independent sites, cooperative binding)
Calculate AIC and BIC values for each model
Select the model with lowest AIC/BIC values, considering parsimony
Report parameter estimates with confidence intervals rather than just point estimates
Global Fitting for Complex Datasets:
Approach: Simultaneously fit multiple datasets with shared parameters
Implementation:
Collect binding data under multiple conditions (temperature, pH, salt concentration)
Implement global fitting algorithms that share common parameters across datasets
Use bootstrap resampling to estimate confidence intervals
This approach increases statistical power and provides more robust parameter estimates
Kinetic Data Analysis:
Approach: Apply appropriate kinetic models to time-course data
Implementation:
For simple first-order processes, use exponential fitting
For multi-step processes, implement numerical integration methods
Test for systematic deviations that might indicate model inadequacy
Consider Bayesian approaches for complex models with many parameters
Outlier Detection and Handling:
Approach: Implement robust statistical methods to identify and address outliers
Implementation:
Use Grubb's test or modified Z-scores to identify potential outliers
Examine experimental notes for anomalies before excluding data points
Perform sensitivity analysis by comparing results with and without outliers
Report all data transformations and exclusions transparently
Propagation of Error Analysis:
Approach: Track uncertainties through complex calculations
Implementation:
Use Monte Carlo methods to propagate errors in multi-step analyses
Generate parameter distributions rather than single values
Report derived quantities with appropriate confidence intervals
This is particularly important when comparing protein variants or conditions
Correlation Analysis for Structure-Function Relationships:
Approach: Statistically assess relationships between structural features and functional properties
Implementation:
Collect data on multiple UreE2 variants with systematic mutations
Calculate correlation coefficients between structural parameters and functional readouts
Implement multiple regression for complex relationships
Test for non-linear relationships using appropriate transformations
Power Analysis for Experimental Design:
Approach: Determine appropriate sample sizes for detecting effects of interest
Implementation:
Use preliminary data to estimate variance
Calculate required replicates to achieve desired statistical power
Consider practical constraints while ensuring statistical validity
Adjust for multiple comparisons when designing experiments