YedZ is a heme-binding subunit of the sulfoxide reductase enzyme in Yersinia pseudotuberculosis, a pathogenic bacterium causing yersiniosis. While serotype O:3 is not explicitly mentioned in available literature, the compound is described in commercial contexts as a recombinant protein derived from Y. pseudotuberculosis serotype IB (strain PB1/+) . The protein is associated with sulfur metabolism and may play a role in bacterial adaptation to oxidative stress environments.
| Segment | Sequence (Partial) | Functional Role |
|---|---|---|
| N-terminal | MRLSLRHITWLKIAIWLAATLPLLWLVLSINLGGLSADPAKDIQHFTGRMALKLLLATLLVSPLARYSKQPLLLRCRRLLGLWCFAWGTLHLLSYSILELGLSNIGLLGHELINRPYLTLGIISWLVLLALALTSTRWAQRKMGARWQKLHNWVYVVAILAPIHYLWSVKTLSPWPIIYA VMAALLLLLRYKLLLPRYKKFRQWFR | Heme-binding and catalytic activity |
| C-terminal | (Sequence truncated for brevity) | Stabilization and subunit interaction |
Data derived from product specifications .
While direct research on YedZ is limited, sulfoxide reductases in related pathogens (e.g., Salmonella) suggest roles in:
Antioxidant Defense: Detoxification of reactive sulfur intermediates.
Pathogen Adaptation: Survival under oxidative stress in host environments.
Y. pseudotuberculosis employs virulence plasmids (pYV) and chromosomal factors to evade host immunity . Although YedZ is not directly linked to these systems, its heme-binding capacity may intersect with iron acquisition mechanisms (e.g., yersiniabactin) critical for pathogenicity .
Serotype Discrepancy:
Functional Studies:
No published research on YedZ’s enzymatic activity, substrate specificity, or in vivo role.
Limited structural data beyond primary sequence.
Diagnostic Utility:
ELISA applications are inferred from product descriptions but lack validation in peer-reviewed studies.
KEGG: ypy:YPK_0461
The Yersinia pseudotuberculosis serotype O:3 Sulfoxide reductase heme-binding subunit YedZ (yedZ) is a membrane protein that functions as part of the sulfoxide reductase system. This protein consists of 206 amino acids with a molecular structure characterized by transmembrane domains that anchor it to the bacterial membrane. The complete amino acid sequence is: MRLSLRHITWLKIAIWLAATLPLLWLVLSINLGGLSADPAKDIQHFTGRMALKLLLATLLVSPLARYSKQPLLLRCRRLLGLWCFAWGTLHLLSYSILELGLSNIGLLGHELINRPYLTLGIISWLVLLALALTSTRWAQRKMGARWQKLHNWVYVVAILAPIHYLWSVKTLSPWPIIAYAVMAALLLLLRYKLLLPRYKKFRQWFR .
YedZ functions primarily as a heme-binding component of the sulfoxide reductase system, which is involved in the reduction of methionine sulfoxides. This system plays a critical role in protecting bacteria against oxidative stress by repairing oxidized methionine residues in proteins, similar to how methionine sulfoxide reductases function in other organisms .
While yeast MsrA specifically reduces Met-S-SO and MsrB reduces Met-R-SO, YedZ functions as a heme-binding subunit within a larger sulfoxide reductase complex .
The enzymatic mechanism differs: Yeast Msr enzymes utilize a redox mechanism involving cysteine residues and require DTT or thioredoxin as reducing agents, whereas YedZ, as a heme-binding protein, likely participates in electron transfer through its heme group .
Msr enzymes in yeast have been extensively studied for their roles in oxidative stress resistance and lifespan regulation, with experimental evidence showing that MsrA overexpression can increase yeast lifespan under aerobic conditions .
Unlike the soluble Msr enzymes, YedZ is membrane-bound, suggesting different cellular localization and potentially distinct biological roles specific to bacterial physiology .
The comparison demonstrates evolutionary conservation of sulfoxide reductase function across species while highlighting specialized adaptations in different organisms.
For initial characterization of YedZ activity, researchers should consider the following methodological approach based on established protocols for sulfoxide reductases:
HPLC-based activity assay: Adapt the dabsylated methionine sulfoxide reduction assay described for MsrA and MsrB enzymes. This method allows quantitative measurement of methionine sulfoxide reduction to methionine . Reaction mixtures should contain purified YedZ (5 μg), methionine sulfoxide substrates (25-400 μM), and appropriate electron donors.
Spectrophotometric heme analysis: Since YedZ is a heme-binding protein, UV-visible spectroscopy can be used to characterize the heme environment and its redox states.
Membrane fraction preparation: As YedZ is membrane-bound, proper extraction using glass beads followed by sonication is crucial for activity measurements .
Controls and validation: Include parallel assays with known methionine sulfoxide reductases (MsrA and MsrB) and substrate specificity tests using both Met-S-SO and Met-R-SO stereoisomers .
Remember that optimal reaction conditions may need adjustment for YedZ specifically, as conditions established for yeast Msr enzymes (37°C, pH 7.5, 20 mM DTT) may not be optimal for the Yersinia pseudotuberculosis protein .
Designing experiments to investigate YedZ's role in Yersinia pseudotuberculosis virulence requires a multifaceted approach:
Gene knockout and complementation studies: Generate YedZ deletion mutants (ΔyedZ) and complemented strains. Compare virulence phenotypes including:
Survival under oxidative stress conditions
Ability to colonize experimental animal models
Expression of downstream virulence factors
Transcriptomics and proteomics analysis: Compare gene expression and protein profiles between wild-type and ΔyedZ mutants under different conditions, particularly focusing on known virulence-associated pathways.
Interaction with host immune defenses: Examine the susceptibility of ΔyedZ mutants to neutrophil killing, macrophage phagocytosis, and reactive oxygen species.
Serotype-specific effects: Since different serotypes of Y. pseudotuberculosis show variable virulence properties, test the impact of YedZ deletion across multiple serotypes including O:1a, O:1b, O:2a, O:2b, and O:3 .
Evaluation in context of virulence factors: Assess how YedZ activity correlates with the presence of major virulence determinants such as the virulence plasmid pYV and the high-pathogenicity island (HPI) .
This experimental design allows for comprehensive evaluation of YedZ's contribution to pathogenicity while controlling for strain-specific variations in virulence potential.
For optimal expression and purification of functional recombinant YedZ protein, researchers should consider the following protocol based on established methodologies for membrane proteins and heme-binding proteins:
Expression system selection:
Recommended: E. coli BL21(DE3) with specialized vectors containing inducible promoters (T7 or tac)
Alternative: Yeast expression systems may provide better membrane protein folding
Construct design:
Include a cleavable affinity tag (His6 or Strep-tag) at either N- or C-terminus
Avoid disrupting predicted transmembrane domains
Consider adding a signal sequence for proper membrane insertion
Culture conditions:
Lower induction temperature (16-20°C) to promote proper folding
Supplement with δ-aminolevulinic acid (0.5 mM) as a heme precursor
Use terrific broth with glycerol (0.4%) for better membrane protein expression
Membrane protein extraction:
Gentle cell lysis using spheroplasting or osmotic shock methods
Solubilization with mild detergents (DDM, LMNG, or Cymal-5 at 1%)
Include protease inhibitors and reducing agents
Purification strategy:
Immobilized metal affinity chromatography (IMAC) as first step
Size exclusion chromatography for final polishing
Maintain detergent above critical micelle concentration throughout
Functional validation:
This methodological approach maximizes the likelihood of obtaining functionally active YedZ protein suitable for downstream biochemical and structural studies.
To effectively analyze YedZ's role in oxidative stress response pathways, researchers should implement a comprehensive experimental strategy:
Comparative phenotypic analysis:
Create gene deletion (ΔyedZ) and overexpression strains
Measure survival rates under various oxidative stressors (H₂O₂, paraquat, NO donors)
Compare growth kinetics and lag phases after oxidative challenge
Evaluate membrane integrity using fluorescent dyes after oxidative stress
Molecular mechanism investigation:
Genetic interaction network:
Perform double knockout studies with other oxidative stress genes
Create an epistasis map with known oxidative stress response regulators
Conduct suppressor screens to identify genetic interactions
Integration with global response pathways:
Analyze transcriptional changes using RNA-seq comparing WT and ΔyedZ strains
Perform ChIP-seq to identify regulators controlling yedZ expression
Use metabolomics to detect changes in redox-sensitive metabolites
Cross-species complementation:
This multifaceted approach will provide comprehensive insights into YedZ's specific contributions to oxidative stress resistance in Yersinia pseudotuberculosis.
When designing experiments to study YedZ function across environmental conditions, the following controls are essential:
Genetic controls:
Wild-type strain (positive control)
YedZ deletion mutant (ΔyedZ)
Complemented strain (ΔyedZ + plasmid-expressed YedZ)
Catalytically inactive YedZ mutant (point mutation in heme-binding site)
Enzymatic activity controls:
Environmental condition controls:
Stress response controls:
Known oxidative stress-sensitive mutants (e.g., catalase or superoxide dismutase mutants)
Antioxidant-supplemented cultures
Defined concentrations of oxidative stressors (H₂O₂, superoxide, NO donors)
Technical controls:
Multiple biological replicates (minimum n=3)
Technical replicates for each assay
Time-course measurements to capture dynamic responses
Instrument calibration standards
This comprehensive control strategy enables robust interpretation of results and helps distinguish YedZ-specific effects from general stress responses or technical artifacts.
When faced with contradictory data regarding YedZ function across experimental systems, researchers should implement the following systematic approach to resolve discrepancies:
Standardization of experimental conditions:
Create a standardized protocol for YedZ activity assays
Ensure consistent protein preparation methods across laboratories
Establish reference standards for activity measurements
Develop detailed SOPs for critical experiments
Cross-validation using multiple methodologies:
Apply orthogonal techniques to measure the same parameter
For example, assess oxidative stress resistance using:
Growth inhibition assays
Direct measurement of ROS
Protein carbonylation analysis
Transcriptional reporter assays
Meta-analysis of experimental variables:
Create a comprehensive table documenting all experimental conditions:
| Variable | System A | System B | System C | Impact on Results |
|---|---|---|---|---|
| Growth media | YPD | YNB | Minimal | High - determines baseline stress |
| Temperature | 30°C | 37°C | 25°C | Medium - affects enzyme kinetics |
| Oxygen level | Aerobic | Microaerobic | Anaerobic | Critical - changes redox environment |
| Strain background | BY4741 | YPIII | Clinical | High - genetic interactions differ |
| YedZ expression | Native | Overexpressed | Purified | Critical - alters stoichiometry |
Collaborative cross-laboratory validation:
Exchange materials (strains, plasmids, antibodies)
Conduct parallel experiments in different laboratories
Blind analysis of key data sets
Integration with comparative genomics:
Statistical and methodological consultation:
Apply appropriate statistical tests for small sample sizes
Consider Bayesian approaches to integrate prior knowledge
Evaluate experimental power through simulation
This systematic approach enables identification of variables responsible for contradictory results and development of a unified model of YedZ function.
Structural biology approaches can significantly enhance our understanding of YedZ function through the following methodological strategies:
Membrane protein crystallography:
Utilize lipidic cubic phase (LCP) crystallization methods
Screen detergent conditions to maintain native conformation
Consider fusion protein approaches (T4 lysozyme or BRIL) to increase crystallizability
Focus on resolving the heme-binding pocket architecture
Cryo-electron microscopy (cryo-EM):
Apply single-particle analysis for high-resolution structure determination
Use nanodiscs or amphipols to maintain membrane environment
Capture different functional states through substrate analogs or inhibitors
Visualize YedZ in complex with interacting partners
NMR spectroscopy for dynamics:
Focus on methyl-TROSY approaches for large membrane proteins
Investigate conformational changes upon substrate binding
Characterize heme environment using paramagnetic NMR techniques
Map protein-protein interaction interfaces
Computational approaches:
Perform molecular dynamics simulations in membrane environments
Use homology modeling based on related sulfoxide reductases
Apply quantum mechanics/molecular mechanics (QM/MM) to study the reaction mechanism
Predict substrate binding sites and selectivity determinants
Integrative structural biology:
Combine low-resolution techniques (SAXS, HDX-MS) with high-resolution methods
Validate structural models using site-directed mutagenesis
Compare with structures of homologous proteins from different organisms
Create structure-based hypotheses for functional testing
Structure-function correlation:
Design mutations based on structural data to test mechanistic hypotheses
Analyze conservation patterns in the context of the structural model
Investigate how serotype differences impact structure and function
Compare with yeast methionine sulfoxide reductase structures to identify functional parallels
This multifaceted structural biology approach would provide crucial insights into YedZ's catalytic mechanism, substrate specificity, and potential as a therapeutic target.
The relationship between YedZ function and pathogenicity across Yersinia pseudotuberculosis serotypes represents a complex interplay that can be analyzed through the following integrated approach:
Comparative genomics and expression analysis:
Sequence YedZ across different Y. pseudotuberculosis serotypes (O:1a, O:1b, O:2a, O:2b, O:3, O:13)
Compare expression levels in various serotypes under infection-relevant conditions
Correlate sequence variations with virulence profiles
Virulence factor correlation:
Functional comparison across serotypes:
Create a comparative table of YedZ properties and pathogenicity markers:
Cross-complementation studies:
Exchange YedZ alleles between serotypes to assess function
Determine if YedZ from highly virulent serotypes enhances virulence of less pathogenic strains
Test whether YedZ function depends on serotype-specific genetic backgrounds
Host-pathogen interaction studies:
Compare oxidative burst survival mediated by YedZ across serotypes
Analyze YedZ contribution to persistence in different host tissues
Evaluate serotype-specific responses to host-generated oxidative stress
Evolutionary context:
Analyze selective pressure on YedZ across different serotypes
Investigate horizontal gene transfer patterns influencing YedZ function
Compare with related species to understand evolutionary trajectory
This integrated analysis would clarify whether YedZ represents a conserved virulence mechanism across serotypes or if its function has diverged to accommodate serotype-specific pathogenicity strategies.
For studying YedZ interactions with other cellular components, researchers should employ these methodological approaches:
In vivo crosslinking coupled with mass spectrometry:
Use membrane-permeable crosslinkers (DSP, formaldehyde)
Apply photo-activatable amino acids for site-specific crosslinking
Perform immunoprecipitation followed by LC-MS/MS
Analyze results using specialized interaction proteomics software
Bacterial two-hybrid systems adapted for membrane proteins:
BACTH (Bacterial Adenylate Cyclase Two-Hybrid) system
Split-ubiquitin membrane yeast two-hybrid system
Create systematic screening libraries of potential interaction partners
Validate interactions with co-immunoprecipitation
Proximity-based labeling approaches:
Express YedZ fused to BioID or TurboID
Allow in vivo biotinylation of proximal proteins
Purify biotinylated proteins using streptavidin affinity
Identify interaction partners through mass spectrometry
Fluorescence-based interaction techniques:
Förster Resonance Energy Transfer (FRET) with fluorescent protein fusions
Bimolecular Fluorescence Complementation (BiFC)
Fluorescence Correlation Spectroscopy (FCS) for dynamic interactions
Single-molecule tracking to observe complex formation in live cells
Functional genetics approaches:
Synthetic genetic array (SGA) analysis
Suppressor mutant screening
Genetic interaction mapping through double knockout libraries
Epistasis analysis with related oxidative stress response pathways
Biochemical validation techniques:
Surface Plasmon Resonance (SPR) with purified components
Isothermal Titration Calorimetry (ITC) for binding affinity determination
Analytical ultracentrifugation for complex formation analysis
Native gel electrophoresis to preserve protein complexes
These complementary approaches provide a comprehensive framework for identifying and characterizing YedZ interactions, from initial discovery through detailed biochemical characterization and functional validation.
To effectively compare YedZ function with eukaryotic methionine sulfoxide reductases, researchers should implement the following methodological strategy:
Parallel enzyme activity assays:
Heterologous expression studies:
Express YedZ in yeast systems with MsrA/MsrB knockouts
Express eukaryotic Msr enzymes in Yersinia pseudotuberculosis ΔyedZ strains
Measure complementation of oxidative stress phenotypes
Analyze protein-protein interaction patterns in the heterologous systems
Comparative structural analysis:
Align structures or structural models of YedZ with MsrA/MsrB
Compare active site architectures and catalytic mechanisms
Analyze differences in cofactor requirements and electron transfer pathways
Design chimeric proteins to test domain-specific functions
Oxidative stress response comparison:
Design parallel experiments in yeast and bacterial systems:
Use identical oxidative stressors (H₂O₂, paraquat)
Apply similar stress levels adjusted for each organism
Measure comparable endpoints (survival, protein oxidation)
Test the effects of caloric restriction in both systems, as this condition affects MsrA/MsrB function in yeast
Evolutionary analysis:
Conduct phylogenetic analysis of sulfoxide reductase families
Identify conserved and divergent functional motifs
Analyze selective pressure on different domains
Trace the evolutionary history of these systems
Comparative table of key properties:
This comprehensive comparison would elucidate the evolutionary relationships between these systems and potentially identify conserved mechanisms of oxidative stress protection that span prokaryotic and eukaryotic domains.
Several emerging technologies hold promise for advancing our understanding of YedZ function in bacterial physiology:
CRISPR interference (CRISPRi) for temporal control:
Implement tunable repression of yedZ expression
Create depletion strains for essential contexts
Apply dCas9-based transcriptional modulators for precise regulation
Study effects of controlled YedZ levels on cellular physiology
Single-cell technologies:
Apply microfluidics for single-cell analysis of YedZ function
Use time-lapse microscopy with fluorescent reporters to track real-time responses
Implement single-cell RNA-seq to capture cell-to-cell variability in YedZ-dependent responses
Develop biosensors for detecting sulfoxide reductase activity in vivo
Advanced protein engineering approaches:
Apply directed evolution to modify YedZ substrate specificity
Develop split reporters based on YedZ for interaction studies
Create optogenetic versions of YedZ for light-controlled activity
Design biosensors based on YedZ conformational changes
In situ structural biology:
Implement cryo-electron tomography to visualize YedZ in native membrane environments
Apply correlative light and electron microscopy (CLEM) to localize YedZ function
Use super-resolution microscopy to track YedZ dynamics during stress responses
Develop methods for in-cell NMR to study YedZ structural changes
Multi-omics integration:
Combine transcriptomics, proteomics, and metabolomics data
Apply machine learning to identify patterns in YedZ-dependent responses
Develop computational models of YedZ's role in redox homeostasis
Create predictive frameworks for YedZ function across different conditions
Microbiome and ecological approaches:
Study YedZ function in polymicrobial communities
Analyze how YedZ contributes to survival in environmental niches
Investigate competitive advantages conferred by YedZ in mixed populations
Examine horizontal gene transfer patterns related to yedZ and associated genes
These emerging technologies would provide unprecedented insights into YedZ's dynamic functions in bacterial physiology and potentially reveal novel targets for antimicrobial development.
Understanding YedZ function could contribute to novel antimicrobial development through several strategic pathways:
Target-based drug discovery:
Virulence attenuation strategies:
Target YedZ to reduce bacterial survival during oxidative burst
Develop anti-virulence compounds that inhibit YedZ without affecting growth
Create combination therapies targeting YedZ and complementary oxidative stress defense systems
Design drugs that increase bacterial susceptibility to host immune defenses
Serotype-specific targeting:
Host-directed therapeutics:
Enhance host oxidative burst mechanisms that overwhelm YedZ capacity
Modulate host immune responses to target YedZ-dependent processes
Develop peptide mimetics that interfere with YedZ-host protein interactions
Design immunotherapeutic approaches targeting surface-exposed YedZ epitopes
Resistance management strategies:
Analyze potential resistance mechanisms to YedZ inhibitors
Develop multi-target approaches combining YedZ inhibition with other mechanisms
Create cycling regimens to prevent resistance emergence
Implement adaptive treatment algorithms based on YedZ sequence variants
Translational research considerations:
Establish appropriate animal models for testing YedZ-targeted therapeutics
Develop biomarkers for monitoring YedZ inhibition in vivo
Create high-throughput screening platforms specific for YedZ activity
Design early-stage clinical trials focusing on infections where YedZ plays a critical role
This strategic framework illustrates how fundamental understanding of YedZ function can translate into practical antimicrobial development pathways with potential clinical impact against Yersinia pseudotuberculosis and potentially other bacterial pathogens with homologous systems.
Despite advances in characterizing YedZ, several critical knowledge gaps remain that present opportunities for future research:
Addressing these knowledge gaps will require interdisciplinary approaches combining structural biology, genetic manipulation, biochemical characterization, and in vivo infection models to fully elucidate the multifaceted roles of YedZ in bacterial physiology and pathogenesis.
To maximize the impact of future YedZ research on both basic science and applied research, investigators should prioritize their efforts according to this strategic framework:
Highest priority: Fundamental mechanistic understanding
Solve the high-resolution structure of YedZ using cryo-EM or X-ray crystallography
Characterize the complete YedZ interactome under various physiological conditions
Define the precise catalytic mechanism and electron transfer pathway
Establish the full range of physiological substrates
High priority: Pathogenesis relevance
Medium priority: Comparative biology
Medium priority: Technology development
Create biosensors for real-time monitoring of YedZ activity
Develop high-throughput screening methods for YedZ inhibitors
Establish standardized assays for quantifying YedZ contributions to stress resistance
Engineer reporter systems for tracking YedZ expression in vivo
Applied research priorities
Screen for small-molecule inhibitors of YedZ function
Validate YedZ as an antimicrobial target in infection models
Develop diagnostic tools based on YedZ sequence variants
Investigate potential vaccine applications targeting YedZ epitopes
Interdisciplinary priority: Data integration
Create comprehensive databases of YedZ variants across bacterial species
Develop predictive models of YedZ function based on sequence
Establish standardized protocols for YedZ characterization
Form collaborative networks spanning multiple research disciplines