Note: While we will prioritize shipping the format currently in stock, please specify your format preference in order notes for customized fulfillment.
Note: All proteins are shipped with standard blue ice packs unless dry ice shipping is requested in advance. Additional fees apply for dry ice shipping.
Tag type is determined during production. Please specify your desired tag type for prioritized development.
KEGG: pst:PSPTO_1554
STRING: 223283.PSPTO_1554
Experimental approaches to investigate eno1 function include:
Gene knockout studies to assess growth and virulence phenotypes
Protein localization studies using fluorescently tagged eno1
Transcriptomics to examine expression patterns during plant infection
Interactome mapping to identify potential protein-protein interactions
Enolase 1 is highly conserved among Pseudomonas syringae pathovars, reflecting its essential metabolic function. Comparative genomic analyses of P. syringae strains indicate that core metabolic genes like eno1 show significantly less diversification than virulence-associated genes such as type III secreted effectors (T3SEs) . The P. syringae species complex exhibits substantial diversity with T3SEs showing evidence of horizontal gene transfer, gene gain/loss events, and positive selection . In contrast, metabolic enzymes like enolase typically display much higher sequence conservation.
A genomic study of 494 P. syringae strains isolated from over 100 hosts identified extensive variation in virulence factors but higher conservation of metabolic genes . This conservation pattern is consistent with the dual role of enolase as both a metabolic enzyme and potential virulence factor.
| Locus Type | Evolutionary Pattern | Selection Pressure | HGT Frequency |
|---|---|---|---|
| Effector genes (e.g., hopM1) | Highly variable | Strong positive selection | Frequent |
| Core metabolic genes (e.g., eno1) | Highly conserved | Purifying selection | Rare |
| MAMP-encoding genes (e.g., fliC) | Moderate variation | Mixed selection | Occasional |
For comprehensive characterization of recombinant P. syringae pv. tomato eno1, a multi-method approach is most effective:
Structural characterization:
Functional characterization:
Enzyme activity assay measuring the conversion of 2-phosphoglycerate to phosphoenolpyruvate
Temperature and pH profiling to determine optimal reaction conditions
Kinetic parameter determination (Km, Vmax, kcat)
Immunological characterization:
For functional studies, it's crucial to validate that the recombinant protein retains native enzymatic activity. Stability assessments under different buffer conditions and storage temperatures are also essential for experimental planning .
Recombinant P. syringae pv. tomato eno1 offers several sophisticated approaches to investigate pathogenicity mechanisms:
Host-pathogen interaction studies:
Pull-down assays using recombinant eno1 to identify potential plant protein binding partners
Surface plasmon resonance to characterize binding kinetics with plant targets
Yeast two-hybrid screening to discover novel protein-protein interactions
Immunological investigations:
Generation of eno1-specific antibodies for in planta localization studies
Immunoprecipitation to isolate eno1-containing protein complexes during infection
Investigating whether eno1 elicits plant immune responses
Structural biology applications:
Crystallography studies to determine high-resolution protein structure
Structure-guided mutagenesis to identify functionally important residues
Computational modeling of interactions with plant proteins
Systems biology integration:
Incorporation of eno1 function into metabolic models of P. syringae during infection
Network analysis to position eno1 in pathogenicity pathways
Recent studies on type III secretion systems in P. syringae have demonstrated how individual proteins contribute to virulence . Similar methodologies could be applied to investigate potential non-canonical roles of eno1 in pathogenicity beyond its metabolic function.
While type III secreted effectors (T3SEs) are the primary virulence factors in P. syringae pv. tomato , metabolic enzymes like eno1 represent a distinct class of potential virulence contributors:
| Feature | Type III Effectors (e.g., AvrE1, HopM1) | Metabolic Enzymes (e.g., eno1) |
|---|---|---|
| Primary function | Suppress host immunity | Cellular metabolism |
| Secretion | Type III secretion system | Non-canonical secretion pathways |
| Genetic diversity | High variability between strains | High conservation |
| Evolutionary pressure | Strong positive selection | Mainly purifying selection |
| Host recognition | Often triggers ETI | Rarely recognized by host immune system |
| Research focus | Extensively studied | Emerging area of interest |
Unlike specialized virulence factors such as AvrE1 and HopM1 that directly manipulate host cell processes , eno1's contribution to virulence would likely be subtler and multifaceted. Studies in other bacterial pathogens have shown that enolases can contribute to adherence, biofilm formation, and host immune evasion.
P. syringae pv. tomato employs a diverse array of virulence strategies. Race 1 strains have evolved to overcome host resistance by modifying effectors like AvrPto and AvrPtoB . Understanding how conserved metabolic enzymes like eno1 potentially contribute to virulence could reveal new aspects of the pathogen's adaptive strategy.
To identify non-glycolytic functions of P. syringae pv. tomato eno1, researchers should consider these methodological approaches:
Subcellular localization studies:
Immunofluorescence microscopy with anti-eno1 antibodies to detect unexpected localization patterns
Cell fractionation followed by Western blotting to identify eno1 in membrane or extracellular fractions
GFP-fusion proteins to track localization dynamics during infection
Protein-protein interaction mapping:
Co-immunoprecipitation with recombinant eno1 using plant extracts
Bacterial two-hybrid screening against P. syringae or plant proteome libraries
Cross-linking mass spectrometry to identify interaction partners in planta
Functional genomics approaches:
Site-directed mutagenesis to create variants with intact catalytic activity but disrupted surface features
Complementation of eno1 knockout with catalytically inactive mutants to isolate non-metabolic functions
Conditional expression systems to separate growth phenotypes from virulence phenotypes
Infection model studies:
Gene knockdowns versus catalytic mutants in plant infection assays
Competitive infection assays with eno1 variants
Transcriptome analysis of plant responses to purified recombinant eno1
Similar experimental frameworks have been successfully employed to study the non-canonical functions of other bacterial proteins, including the discovery that the P. syringae effector HopM1 has unexpected functions in suppressing plant immunity .
Selecting the appropriate expression system for recombinant P. syringae pv. tomato eno1 depends on research objectives and downstream applications:
Escherichia coli expression systems:
BL21(DE3) strains typically yield high quantities of eno1 with good solubility
Codon optimization may improve expression efficiency of P. syringae genes in E. coli
IPTG-inducible systems like pET vectors allow controlled expression
Fusion tags (His6, GST, MBP) facilitate purification and can enhance solubility
Yeast expression systems:
Pseudomonas-based expression:
Purification strategies:
Recommended protocol elements based on commercial recombinant production include storage at -20°C/-80°C for extended shelf life and avoiding repeated freeze-thaw cycles .
Comprehensive validation of recombinant eno1 functionality requires multiple analytical approaches:
Enzymatic activity assays:
Spectrophotometric assay monitoring conversion of 2-phosphoglycerate to phosphoenolpyruvate
Coupled assay systems linking eno1 activity to NADH oxidation for continuous monitoring
Michaelis-Menten kinetics determination (Km, Vmax, kcat)
Comparison of kinetic parameters to those of native enzyme in crude P. syringae extracts
Structural validation:
Circular dichroism to confirm secondary structure integrity
Thermal shift assays to assess protein stability
Dynamic light scattering to confirm monodispersity
Limited proteolysis to assess proper folding
Functional characterization:
Temperature and pH profile determination
Metal ion dependency analysis (Mg2+ is typically required for enolase activity)
Substrate specificity testing
Inhibition studies with known enolase inhibitors
Quality control metrics:
For applications investigating potential non-canonical functions, additional validation may be necessary, such as surface plasmon resonance to confirm binding to suspected interaction partners or cell-based assays to verify biological activity.
Researchers frequently encounter several challenges when working with recombinant P. syringae proteins. Based on established methodologies in bacterial protein expression, the following troubleshooting approaches are recommended:
Addressing insolubility:
Lower induction temperature (16-25°C) to slow protein folding
Reduce inducer concentration for decreased expression rate
Co-express with chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Use solubility-enhancing fusion partners (MBP, SUMO, TrxA)
Screen multiple buffer conditions during purification
Improving yield:
Optimize codon usage for expression host
Test multiple promoter systems (T7, tac, araBAD)
Evaluate different E. coli strains (BL21, C41/C43, Arctic Express)
Optimize media composition and fermentation conditions
Consider auto-induction media for high-density culture
Enhancing purity:
Implement two-step purification strategy (e.g., IMAC followed by gel filtration)
Include reducing agents to prevent disulfide-mediated aggregation
Add nucleases to remove contaminating nucleic acids
Use ion exchange chromatography for charged contaminants
Optimize imidazole gradient for His-tagged proteins
Maintaining stability:
Screen buffer additives (glycerol, reducing agents, metal ions)
Determine optimal pH and ionic strength
Use differential scanning fluorimetry to assess thermal stability
Aliquot and flash-freeze to avoid freeze-thaw cycles
Consider lyophilization for long-term storage
These approaches have been successfully applied to express and purify various P. syringae proteins, including type III secretion system components and effector proteins , and can be adapted for eno1 expression.
Recombinant eno1 can serve as a valuable tool for investigating evolutionary aspects of P. syringae pv. tomato:
Comparative evolutionary analysis:
Molecular evolution studies:
Unlike T3SEs that show extensive evidence of horizontal gene transfer and positive selection , core metabolic genes like eno1 typically evolve under purifying selection
Sequence analysis of eno1 across the P. syringae species complex (590+ genomes) could identify subtle adaptive signatures
Recombinant proteins from different lineages allow functional testing of any observed sequence variations
Phylogenomic applications:
As a conserved housekeeping gene, eno1 can serve as a phylogenetic marker
Comparing eno1 phylogeny with whole-genome phylogeny can reveal instances of horizontal gene transfer
Analysis of synonymous versus non-synonymous substitution rates can identify selection pressures
Recent research has demonstrated that P. syringae has a large pangenome of 77,728 orthologous gene families, with a core genome of only 2,410 genes . Investigating how conserved metabolic enzymes like eno1 contribute to adaptation within this diverse species complex could provide insights into bacterial evolution and host specialization.
While type III secreted effectors are the primary determinants of host specificity in P. syringae , metabolic enzymes like eno1 may contribute to adaptive fitness in specific host environments:
Potential roles in host adaptation:
Optimization of carbon metabolism for growth in tomato apoplastic environment
Possible non-canonical functions in biofilm formation or stress responses
Potential interaction with host proteins to facilitate infection
Comparative approaches:
Analysis of eno1 expression during infection of different host plants
Comparison of eno1 sequence and function between tomato-adapted strains and strains adapted to other hosts
Investigation of whether eno1 variants affect host range or virulence in diverse P. syringae pathovars
Integration with virulence mechanisms:
The molecular basis of P. syringae pv. tomato pathogenesis involves multiple factors beyond T3SEs, including toxins, extracellular proteins, and polysaccharides . Understanding how central metabolic enzymes like eno1 integrate with these virulence systems represents an emerging research direction.
Recombinant P. syringae pv. tomato eno1 offers several potential pathways toward disease control strategies:
Target-based inhibitor development:
High-throughput screening of chemical libraries against recombinant eno1
Structure-based design of inhibitors targeting P. syringae eno1
Evaluation of inhibitor specificity between bacterial and plant enolases
In vitro and in planta testing of candidate inhibitors
Immunological approaches:
Using recombinant eno1 to develop antibodies for diagnostic applications
Exploration of eno1 as a potential vaccine antigen for plant immunization strategies
Investigation of whether external application of eno1 can trigger plant immune responses
Biocontrol development:
Integration with current control methods:
Recent research has shown that ETI-eliciting effectors can protect tomato against P. syringae infection when delivered by non-virulent strains . Similar approaches could potentially incorporate strategies targeting metabolic vulnerabilities through eno1 inhibition.
Post-translational modifications (PTMs) of bacterial enolases represent an emerging research area with implications for both metabolic and non-metabolic functions:
Potential PTMs in bacterial enolases:
Phosphorylation affecting catalytic activity or protein interactions
Acetylation modulating subcellular localization
S-nitrosylation responding to nitrosative stress
Oxidative modifications under stress conditions
Methodological approaches:
Mass spectrometry-based proteomics to identify and map PTMs
Site-directed mutagenesis of modified residues in recombinant eno1
Comparison of PTM patterns between growth in culture and during plant infection
In vitro enzymatic assays to assess functional consequences of modifications
Technical considerations:
Expression system selection affects PTM fidelity (bacterial vs. yeast)
Specialized purification protocols may be needed to preserve labile modifications
Antibodies recognizing specific PTMs could enable targeted studies
This research direction represents a frontier in understanding bacterial protein regulation during host interaction, potentially revealing new dimensions of P. syringae adaptation to plant environments.
The P. syringae species complex includes pathovars with diverse host ranges. Comparative analysis of eno1 across these pathovars could yield insights into metabolic adaptation to different plant hosts:
Across-pathovar comparison approaches:
Recombinant expression of eno1 from multiple pathovars (pv. tomato, pv. syringae, pv. actinidiae, etc.)
Comparative biochemical characterization (kinetic parameters, pH optima, stability)
Cross-complementation experiments in different pathovar backgrounds
Computational analysis of sequence conservation patterns
Host adaptation signatures:
Analysis of selection pressure on eno1 in different host-specialized lineages
Identification of pathovar-specific amino acid substitutions
Correlation of sequence variations with biochemical properties and infection phenotypes
Integration with genomic data:
While effector repertoires are primary determinants of host range , metabolic adaptations may contribute to optimal fitness in specific host environments. Comparative analysis could reveal subtle patterns of metabolic specialization across the P. syringae complex.
Integrating multiple disciplines and technologies could drive breakthroughs in understanding eno1's role in P. syringae biology and pathogenicity:
Systems biology integration:
Metabolic modeling of P. syringae during infection with variation in eno1 function
Network analysis positioning eno1 in both metabolic and virulence-related pathways
Multi-omics approaches correlating transcriptomics, proteomics, and metabolomics data
Structural biology and protein dynamics:
Cryo-EM or X-ray crystallography of P. syringae eno1 alone and in protein complexes
Molecular dynamics simulations to investigate conformational changes
Hydrogen-deuterium exchange mass spectrometry to map protein-protein interaction surfaces
Advanced microscopy techniques:
Super-resolution microscopy tracking eno1 localization during infection
Correlative light and electron microscopy to place eno1 in ultrastructural context
FRET-based biosensors to monitor eno1 activity in living bacteria
Synthetic biology approaches:
These interdisciplinary approaches could position eno1 research within the broader context of plant-pathogen interaction biology, potentially revealing unexpected connections between metabolism and virulence.