Recombinant nuoK is produced using advanced expression systems and purified under stringent conditions:
Expression: Synthesized in a baculovirus system, ensuring proper post-translational modifications .
Form: Lyophilized powder or liquid, with Tris/PBS-based buffer and trehalose stabilizers .
Enzymatic Activity: Functions in electron transfer and energy transduction. The partial sequence suggests retained catalytic functionality despite truncation .
Thermostability: Requires glycerol supplementation (up to 50%) for stability during storage .
Antimicrobial Target: As a component of bacterial respiration, nuoK is a potential target for novel antibiotics .
Biochemical Studies: Used to explore electron transport mechanisms in phytopathogens .
Industrial Relevance: Recombinant production enables large-scale studies on bacterial energetics and inhibitor screening .
Current data gaps include:
Full-length sequence and structural resolution of nuoK.
Direct evidence linking nuoK to virulence in P. carotovorum subsp. carotovorum. Further studies using CRISPR/Cas9-mediated knockouts or cryo-EM structural analysis are recommended.
KEGG: pct:PC1_2763
STRING: 561230.PC1_2763
Successful expression and purification of recombinant nuoK requires specialized approaches due to its highly hydrophobic nature and multiple transmembrane domains. The recommended methodology includes:
Expression system selection: E. coli is commonly used for heterologous expression of bacterial membrane proteins, as demonstrated for the R. solanacearum nuoK . For P. carotovorum nuoK, similar approaches can be applied with strain-specific optimizations.
Vector design: Incorporate an affinity tag (commonly His-tag) at the N-terminus to facilitate purification while minimizing interference with protein folding .
Expression conditions:
Use lower temperatures (16-25°C) to reduce inclusion body formation
Induce with lower IPTG concentrations (0.1-0.5 mM)
Consider specialized media formulations for membrane protein expression
Membrane extraction: Utilize gentle detergents (DDM, LDAO, or C12E8) for solubilization from membrane fractions.
Purification protocol:
Immobilized metal affinity chromatography (IMAC)
Size exclusion chromatography for increased purity
Maintain detergent above critical micelle concentration throughout
Storage consideration: Store in buffer containing 50% glycerol with appropriate detergent at -20°C/-80°C to maintain stability .
The final product should be verified by SDS-PAGE (>90% purity) and can be lyophilized for long-term storage with appropriate cryoprotectants like trehalose .
The expression patterns of nuoK in Pectobacterium carotovorum vary significantly depending on environmental conditions, especially those that mimic plant infection scenarios. Proteomic analyses comparing in vitro and in vivo growth conditions have demonstrated differential expression patterns for numerous proteins involved in energy metabolism and virulence .
While nuoK-specific expression data is limited in the available research, studies of P. carotovorum proteomics provide valuable insights into how respiratory chain components respond to plant-associated environments. The expression patterns likely follow those of other energy metabolism proteins, which show significant upregulation during plant colonization compared to standard laboratory media .
| Condition | Expected nuoK Expression | Associated Cellular Response |
|---|---|---|
| Standard LB Media (Control) | Baseline expression | Basic cellular maintenance |
| Plant Extract Supplemented Media | Moderately increased | Adaptation to plant nutrients |
| In planta (Early Infection) | Significantly upregulated | Energy demand for virulence factor production |
| Oxygen-Limited Environment | Highly upregulated | Adaptation to microaerobic conditions within plant tissue |
| Nutrient Starvation | Variable (context-dependent) | Metabolic reprogramming |
Experimental approaches to study nuoK expression should include quantitative RT-PCR, reporter gene fusions (e.g., nuoK-GFP), and comparative proteomics under different growth conditions .
Investigating nuoK's role in NADH-quinone oxidoreductase complex assembly requires a multi-faceted approach combining structural, biochemical, and genetic techniques:
Site-directed mutagenesis: Systematically introduce mutations in conserved residues to identify those critical for complex assembly and function. Focus on the transmembrane regions and residues involved in subunit interactions.
Bacterial two-hybrid assays: Identify protein-protein interactions between nuoK and other subunits of the complex to map interaction domains.
Blue Native PAGE: Analyze the impact of nuoK mutations or deletion on complex I assembly and stability in membrane preparations.
Cryo-electron microscopy: Determine the structural organization of the complete complex with particular focus on nuoK's position and interactions.
In vivo crosslinking: Capture transient interactions during complex assembly using chemical crosslinkers followed by mass spectrometry analysis.
Complementation studies: Express wild-type or mutant nuoK variants in nuoK-deficient strains to evaluate restoration of complex assembly and function.
Comparative structural analysis: Utilize the amino acid sequence (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG) to model the structure and predict interaction interfaces .
These approaches should be combined with functional assays measuring NADH oxidation activity and proton pumping efficiency to correlate structural findings with functional outcomes.
While direct evidence linking nuoK to virulence in Pectobacterium carotovorum is not explicitly documented in the provided search results, its potential contributions to pathogenicity can be inferred from its function and studies of related systems:
Energy production for virulence factor synthesis: As a component of the respiratory chain, nuoK contributes to ATP generation needed for the production and secretion of virulence factors such as plant cell wall-degrading enzymes and bacteriocins like Carocin S4 .
Adaptation to plant microenvironments: The electron transport chain, including nuoK, may help bacteria adapt to varying oxygen levels and nutrient conditions encountered during plant infection.
Indirect support of virulence systems: Genome comparison studies have revealed that most virulence genes are highly conserved in Pectobacterium strains, and energy metabolism genes like nuoK provide the necessary cellular energy for these systems .
Potential parallels with identified virulence factors: Studies have identified several proteins that, when mutated, lead to reduced virulence in P. carotovorum, including ClpP, MreB, FlgK, and Eda . While nuoK was not specifically identified in these studies, other metabolic proteins have been linked to virulence.
Experimental approaches to investigate nuoK's role in virulence would include:
Construction of nuoK deletion mutants and assessment of virulence in plant models
Transcriptome analysis comparing wild-type and nuoK mutants during infection
Metabolic profiling to determine how nuoK impacts energy production during infection processes
Identification of conserved domains: Based on the amino acid sequence provided (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG), key conserved regions include transmembrane helices and residues involved in quinone binding or proton translocation .
Mutational effects matrix:
| Domain Type | Mutation Type | Expected Effect on Complex I | Bacterial Fitness Impact |
|---|---|---|---|
| Transmembrane helices | Conservative substitutions | Minimal disruption | Slight growth defect |
| Transmembrane helices | Charge introduction | Severe assembly defects | Major growth inhibition |
| Proton channel residues | Any substitution | Reduced proton pumping | Decreased energy yield |
| Subunit interface residues | Hydrophobic to polar | Disrupted complex assembly | Respiratory deficiency |
| Quinone interaction sites | Aromatic substitutions | Altered quinone binding | Electron transfer impairment |
Measurement approaches:
Oxygen consumption rates to assess respiratory capacity
NAD+/NADH ratio measurements to evaluate electron transfer efficiency
Membrane potential assessments using fluorescent probes
Growth rate analysis under various carbon sources and oxygen conditions
Competition assays to determine fitness costs in mixed cultures
In vivo relevance: Mutations that severely impair nuoK function would likely affect virulence by reducing the energy available for pathogenicity mechanisms, particularly under the challenging conditions encountered during plant infection .
The most critical mutations would likely be those affecting the conserved residues shared between P. carotovorum nuoK and related bacterial species, as these represent evolutionarily essential structural and functional elements of the protein.
Advanced computational approaches for modeling nuoK structure and its interactions within the respiratory complex involve multiple complementary methods:
Homology modeling: Using the amino acid sequence of P. carotovorum nuoK (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG), construct models based on solved structures of homologous proteins, particularly from bacterial respiratory complexes with available structural data .
Ab initio modeling: For regions without suitable templates, employ physics-based modeling approaches like Rosetta membrane protein modeling.
Molecular dynamics simulations: Embed the modeled nuoK structure in a lipid bilayer environment and simulate its behavior to refine the structural model and identify stable conformations.
Protein-protein docking: Predict interactions between nuoK and other Complex I subunits using tools like HADDOCK or ClusPro with constraints derived from evolutionary conservation and experimental crosslinking data.
Coevolutionary analysis: Apply methods like Direct Coupling Analysis (DCA) to identify residue pairs that have coevolved, suggesting physical proximity or functional relationships between subunits.
Quantum mechanical calculations: For the active sites and electron transfer pathways, employ QM/MM approaches to model electronic properties.
Integration with experimental data: Validate and refine computational models using:
Crosslinking-mass spectrometry data
Cryo-EM density maps
Mutagenesis results
Evolutionary conservation patterns
These computational approaches should be integrated into an iterative workflow where experimental validation informs model refinement, ultimately producing a comprehensive structural and functional understanding of nuoK's role in the respiratory complex.
Targeting nuoK for antimicrobial development against Pectobacterium carotovorum presents a promising research direction due to its essential role in bacterial energy metabolism. A comprehensive strategy would include:
Target validation:
Generate conditional nuoK mutants to confirm its essentiality under infection-relevant conditions
Assess growth and virulence phenotypes of nuoK-depleted strains in planta
Evaluate potential for resistance development through adaptive laboratory evolution
Druggable site identification:
Analyze the nuoK amino acid sequence (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG) to identify potential binding pockets
Focus on regions that differ from mammalian or plant homologs to ensure specificity
Consider targeting protein-protein interaction interfaces within the NADH-quinone oxidoreductase complex
Screening approaches:
Structure-based virtual screening against modeled nuoK structure
Fragment-based screening using thermal shift assays
Whole-cell phenotypic screening with respiratory readouts
Compound optimization workflow:
| Stage | Methods | Criteria | Expected Outcomes |
|---|---|---|---|
| Initial hits | In silico docking, binding assays | Binding affinity (Kd < 10 μM) | 100-500 preliminary compounds |
| Lead selection | Enzyme inhibition assays | IC50 < 1 μM against isolated Complex I | 20-50 lead compounds |
| Lead optimization | Medicinal chemistry modifications | Improved potency, selectivity | 5-10 optimized candidates |
| In vitro validation | Growth inhibition assays | MIC < 10 μg/ml against P. carotovorum | 2-5 candidate compounds |
| In planta testing | Plant infection models | >80% reduction in disease symptoms | 1-2 development candidates |
Delivery considerations:
Formulation strategies for plant application
Systemic vs. contact activity assessment
Stability under field conditions
Eco-toxicological profiling
This approach leverages the understanding that effective plant protection against bacterial pathogens requires novel targets, especially as no currently effective methods exist for controlling Pectobacterium diseases . Targeting bacterial respiration through nuoK provides a mechanistically distinct approach compared to traditional antimicrobials.
Recombinant nuoK from Pectobacterium carotovorum offers significant potential as a target for developing specific antibodies and diagnostic tools, with applications in both research and agricultural disease management:
Antibody development pipeline:
Express and purify recombinant nuoK protein with appropriate tags for enhanced solubility
Utilize the purified protein for immunization protocols (rabbit polyclonal or mouse monoclonal)
Screen antibodies for specificity against P. carotovorum versus related bacteria
Validate antibodies in multiple detection formats (ELISA, immunofluorescence, western blot)
Diagnostic application development:
ELISA-based detection systems using anti-nuoK antibodies for field sampling
Lateral flow immunoassays for rapid on-site detection
Immunomagnetic separation techniques for bacteria concentration from plant samples
Sensitivity and specificity considerations:
| Detection Method | Expected Sensitivity | Sample Processing | Turnaround Time | Field Applicability |
|---|---|---|---|---|
| Sandwich ELISA | 10³-10⁴ CFU/ml | Moderate | 3-4 hours | Laboratory-based |
| Lateral Flow | 10⁵-10⁶ CFU/ml | Minimal | 15-30 minutes | Field-deployable |
| Immunofluorescence | Single-cell detection | Extensive | 1-2 hours | Research only |
| Immunomagnetic + qPCR | 10²-10³ CFU/ml | Moderate | 2-3 hours | Semi-field adaptable |
Epitope selection strategy:
Identify unique, surface-exposed regions in the nuoK sequence that differ from related species
Consider synthetic peptide approaches for membrane-embedded proteins
Focus on regions that show conservation within P. carotovorum but variation from other Pectobacterium species
Validation requirements:
Cross-reactivity testing against related plant pathogens
Sensitivity determination in various plant matrices
Stability testing under field conditions
Comparison with established detection methods (PCR, traditional plating)
When developing these tools, researchers should consider the amino acid sequence variability between nuoK proteins of different Pectobacterium strains to ensure broad detection capabilities while maintaining specificity .
Comparative analysis of nuoK across Pectobacterium species provides valuable insights into respiratory chain evolution and host adaptation mechanisms, revealing how this essential cellular component has diversified during pathogen evolution:
Evolutionary rate analysis:
Compare substitution rates in nuoK versus other respiratory complex subunits
Identify rapidly evolving sites that may reflect host-specific adaptation
Determine if nuoK evolution correlates with host range or virulence characteristics
Selective pressure mapping:
Calculate dN/dS ratios to identify sites under positive selection
Map these sites to structural features of nuoK to understand functional implications
Correlate selection patterns with ecological niches of different Pectobacterium species
Comparative sequence analysis framework:
Structural biology implications:
Model the effects of sequence variations on protein folding and stability
Identify substitutions affecting proton translocation or quinone binding
Evaluate how membrane-spanning regions may adapt to different host membrane environments
Integration with genomic context:
Analyze conservation of the operon structure containing nuoK
Identify potential horizontal gene transfer events affecting respiratory complexes
Examine regulatory elements that may influence nuoK expression in different hosts
This comparative approach reveals how fundamental cellular processes like respiration have been fine-tuned during pathogen evolution. Genome sequencing methodologies similar to those used for P. aroidearum L6 can be applied to generate high-quality data for comparative analysis . The insights gained can help understand how respiratory chain components contribute to ecological fitness across different plant hosts and environmental conditions.
A comprehensive comparison of nuoK function between Pectobacterium carotovorum and other bacterial plant pathogens reveals important insights into the conservation and specialization of respiratory chain components:
Biochemical property comparison:
Analysis of amino acid compositions reveals how nuoK adaptations reflect the metabolic requirements of different pathogens
The P. carotovorum nuoK (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG) shows specific adaptations in its membrane-spanning regions compared to R. solanacearum (MLSLAHYLVLGAVLFAISIVGIFLNRKNVIVLLMAIELMLLAVNMNFVAFSHYLGDLAGQVFVFFILTVAAAESAIGLAILVVLFRNLDTINVDDLDSLKG)
These differences likely reflect adaptations to different host environments and infection strategies
Gene expression regulation:
Comparative transcriptomics data suggests nuoK expression patterns vary between pathogens
While specific nuoK expression data is limited, broader studies of respiratory proteins indicate pathogen-specific regulation
The induction of respiratory genes during plant infection follows distinct patterns in different bacterial groups, reflecting their infection strategies
Evolutionary implications:
The different selective pressures on nuoK across bacterial pathogens provide insights into the evolutionary trajectories of respiratory systems
Conservation patterns highlight universally essential functions versus adaptable features
These comparisons can inform predictions about nuoK's role in emerging plant pathogens
The functional comparison of nuoK across different bacterial plant pathogens enhances our understanding of how core metabolic processes have been adapted during pathogen evolution while maintaining their essential functions in cellular energetics.
Investigating protein-protein interactions involving nuoK requires specialized approaches due to its membrane-embedded nature and integration within a multi-subunit complex. The following methodological framework represents current best practices:
Crosslinking mass spectrometry (XL-MS):
Apply membrane-permeable crosslinkers (DSS, BS3, or EDC)
Optimize crosslinking conditions (concentration, time, pH)
Digest crosslinked complexes and analyze by LC-MS/MS
Identify crosslinked peptides using specialized software (e.g., pLink, xQuest)
Map interaction sites to the nuoK sequence (MIPLQHGLILAAILFVLGLTGLLIRRNLLFmLISLEIMINAAALAFVVAGSYWQQPDGQVMYILAITLAAAAEASIGLALLLQMYRRRQTLNIDTVSEMRG)
Co-immunoprecipitation adaptations for membrane proteins:
Express epitope-tagged nuoK variants
Solubilize membranes with mild detergents (DDM, digitonin)
Perform pulldowns with subunit-specific antibodies
Identify binding partners by western blotting or mass spectrometry
Validate with reciprocal pulldowns
FRET/BRET approaches:
Generate fluorescent protein fusions (considering membrane topology)
Express in bacterial systems with intact respiratory complexes
Measure energy transfer between labeled subunits
Map interaction networks through systematic labeling strategies
Split reporter assays:
Design split-GFP or split-luciferase constructs fused to nuoK and potential partners
Express in appropriate bacterial hosts
Quantify complementation signal as measure of interaction
Systematically map interaction domains through truncation series
Experimental conditions optimization matrix:
| Parameter | Range to Test | Critical Considerations | Expected Outcome |
|---|---|---|---|
| Detergent type | DDM, digitonin, LMNG | Membrane protein solubilization efficiency | Preserved native interactions |
| Salt concentration | 100-500 mM | Ionic strength effects on interactions | Optimized signal-to-noise ratio |
| pH | 6.5-8.0 | Effect on protein stability | Maximum complex integrity |
| Temperature | 4-30°C | Balance between stability and reaction kinetics | Optimized interaction detection |
| Crosslinker concentration | 0.1-5 mM | Balance between specificity and yield | Maximum specific crosslinks |
Data integration and validation:
Combine results from multiple techniques to build interaction maps
Validate key interactions through mutagenesis of interface residues
Compare experimental results with computational predictions
Develop structural models incorporating interaction constraints
These approaches should be applied in an iterative manner, with each round of experiments informing the design of subsequent studies to progressively build a detailed map of nuoK's interactions within the respiratory complex.
The study of NADH-quinone oxidoreductase subunit K (nuoK) in Pectobacterium carotovorum and other bacterial plant pathogens presents several high-potential research avenues that could significantly advance our understanding of bacterial energy metabolism and pathogenesis:
Systems biology integration: Developing comprehensive models that link nuoK function to broader cellular processes including virulence factor production, stress response, and host adaptation. This approach would build on existing proteomic studies that have identified numerous proteins with altered expression during plant infection .
Structural biology advancements: Applying cryo-electron microscopy and X-ray crystallography to determine high-resolution structures of bacterial Complex I with focus on nuoK's position and interactions. This would complement existing sequence information and computational models based on the amino acid sequence data .
In planta functional genomics: Developing methods to study nuoK expression and function directly within infected plant tissues, potentially using techniques like dual RNA-seq or in planta proteomics to understand how respiratory components respond during actual infection processes .
Comparative analysis across pathogen lifestyles: Expanding nuoK studies to include diverse bacterial pathogens with different infection strategies, hosts, and metabolic capabilities to identify common principles and specializations in respiratory chain function.
Antimicrobial development pipeline: Building on the essential nature of nuoK to develop targeted antimicrobials that specifically disrupt respiratory function in plant pathogens with minimal effects on beneficial microbes or plant hosts.
Evolutionary adaptation mechanisms: Investigating how nuoK has evolved in response to different plant hosts and environmental conditions, potentially revealing mechanisms of host adaptation at the level of basic cellular metabolism.