Recombinant Pseudomonas syringae pv. tomato ATP synthase subunit a (atpB) is a genetically engineered protein component of the ATP synthase complex, a critical enzyme for bacterial energy production. ATP synthase catalyzes ATP synthesis via proton gradient-driven phosphorylation, with subunit a forming part of the membrane-embedded F0 sector responsible for proton translocation .
Recombinant atpB is typically expressed in heterologous systems (e.g., E. coli) with tags for purification. Key production details include:
Storage: Tris-based buffer with 50% glycerol at -20°C or -80°C to prevent degradation .
Stability: Avoid repeated freeze-thaw cycles; working aliquots stored at 4°C for ≤1 week .
Recombinant atpB is primarily used in:
Functional Studies: Investigating ATP synthase assembly, proton translocation mechanisms, and bacterial metabolism .
Antigen Development: For antibody production to study ATP synthase localization or inhibition .
Pathogenicity Research: P. syringae pv. tomato causes bacterial speck disease in tomatoes; ATP synthase is a potential target for antimicrobial strategies .
Gene Expression Regulation: The atpB gene is part of the atpIBEFHAGDC operon, which is constitutively expressed under diverse metabolic conditions .
Structural Insights: Subunit a’s transmembrane helices interact with subunit c to form the proton channel, critical for rotational catalysis in ATP synthesis .
Virulence Link: While ATP synthase is essential for bacterial survival, its direct role in P. syringae pathogenicity remains less characterized compared to virulence factors like type III effectors (e.g., AvrPtoB) .
Further studies could explore:
Cryo-EM Structures: To resolve proton translocation mechanisms at atomic resolution.
Antimicrobial Screens: Targeting ATP synthase subunit a to disrupt bacterial energy metabolism.
KEGG: pst:PSPTO_5605
STRING: 223283.PSPTO_5605
ATP synthase subunit a (atpB) in Pseudomonas syringae pv. tomato is a critical component of the F0 portion of ATP synthase, functioning as part of the membrane-embedded proton channel. This subunit facilitates proton translocation across the bacterial membrane, which drives the rotational movement of the F0 complex. This movement is coupled to conformational changes in the F1 complex, ultimately leading to ATP synthesis. Unlike eukaryotic ATP synthase located in mitochondria, the bacterial ATP synthase including the atpB subunit is embedded in the plasma membrane . The protein plays an essential role in energy metabolism, as it contributes to the primary mechanism by which the bacteria generate ATP through oxidative phosphorylation.
The atpB subunit in Pseudomonas syringae pv. tomato shares structural similarities with other bacterial species, particularly within the Proteobacteria phylum. To analyze structural conservation, researchers typically employ multiple sequence alignment tools such as CLUSTAL W or MUSCLE, followed by phylogenetic analysis using maximum likelihood methods.
The structural comparison reveals that atpB typically contains:
Multiple transmembrane alpha-helical domains that span the bacterial membrane
Conserved arginine residues that participate in proton translocation
Species-specific variations in non-conserved regions that may relate to environmental adaptations
This comparative analysis is essential for understanding functional variations across bacterial species and can inform experimental design for site-directed mutagenesis studies targeting conserved functional domains.
Post-translational modifications (PTMs) of atpB in Pseudomonas species include phosphorylation, acetylation, and in some cases, glycosylation. These modifications can be studied using:
Mass spectrometry-based proteomics approaches:
Liquid chromatography-tandem mass spectrometry (LC-MS/MS)
MALDI-TOF MS analysis of tryptic digests
Site-specific antibodies that recognize modified residues
Phosphoproteomic analysis using:
Immobilized metal affinity chromatography (IMAC)
Titanium dioxide (TiO2) enrichment followed by LC-MS/MS
These PTMs play critical roles in regulating ATP synthase activity, particularly in response to environmental stressors such as pH changes, nutrient limitation, or oxidative stress. Phosphorylation events, especially on serine and threonine residues, have been implicated in modulating proton conductance through the F0 complex.
The optimal conditions for heterologous expression of recombinant P. syringae pv. tomato atpB require careful optimization of expression systems, growth conditions, and induction parameters:
Expression Systems:
Escherichia coli expression systems:
BL21(DE3) strain with pET vector systems (pET28a or pET22b)
C41(DE3) or C43(DE3) strains specifically designed for membrane protein expression
ArcticExpress strains for low-temperature expression to improve protein folding
Expression parameters:
Induction at OD600 = 0.6-0.8
IPTG concentration: 0.1-0.5 mM
Post-induction temperature: 16-25°C (lower temperatures often yield better results for membrane proteins)
Expression duration: 16-20 hours
Culture Media Optimization:
| Media Type | Base Components | Supplements | Benefits |
|---|---|---|---|
| LB | Tryptone, yeast extract, NaCl | 1% glucose | Standard expression medium |
| TB | Tryptone, yeast extract, glycerol, phosphate buffer | - | Higher cell density |
| M9 minimal | Na2HPO4, KH2PO4, NaCl, NH4Cl | 0.4% glucose, trace elements | For labeled protein production |
| Auto-induction | Tryptone, yeast extract, lactose, glucose, glycerol | - | No IPTG required, high yields |
For optimal results, expression trials should test multiple combinations of strains, vectors, media, and induction conditions, with expression levels monitored by Western blot using anti-His or custom anti-atpB antibodies .
A multi-step purification strategy is necessary to obtain high-purity, active recombinant atpB protein:
Membrane isolation:
Harvest cells and disrupt using French press (15,000 psi, 2-3 passes) or sonication
Remove unbroken cells and debris by centrifugation (10,000 × g, 20 min)
Isolate membranes by ultracentrifugation (150,000 × g, 1 hour)
Solubilization:
Solubilize membrane proteins using detergents such as:
n-Dodecyl β-D-maltoside (DDM): 1-2% (w/v)
Digitonin: 1-2% (w/v)
CHAPS: 1% (w/v)
Solubilize for 1-2 hours at 4°C with gentle rotation
Affinity chromatography:
For His-tagged constructs: Ni-NTA or TALON resin
Wash with 20-50 mM imidazole to reduce non-specific binding
Elute with 250-500 mM imidazole gradient
Size exclusion chromatography:
Superdex 200 column equilibrated with buffer containing 0.05-0.1% detergent
Flow rate: 0.5 ml/min
Quality control assessments:
SDS-PAGE analysis (>95% purity)
Western blot confirmation
Mass spectrometry verification
Maintaining detergent concentration above critical micelle concentration (CMC) throughout all purification steps is crucial for preserving protein structure and activity . The use of stabilizing agents such as glycerol (10%) and reducing agents like DTT (1 mM) in all buffers helps maintain protein integrity.
Expressing functional recombinant membrane proteins like atpB presents several challenges that can be overcome using specialized approaches:
Toxicity issues:
Use tightly regulated expression systems (e.g., pBAD vectors)
Employ specialized E. coli strains like C41(DE3) and C43(DE3) designed for toxic membrane proteins
Utilize lower-copy-number vectors to reduce basal expression
Protein misfolding:
Co-express molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Include chemical chaperones in growth media (e.g., 4% ethanol, 0.5 M sorbitol)
Optimize growth temperature (typically 16-25°C)
Inclusion body formation:
If unavoidable, develop refolding protocols using:
Step-wise dialysis with decreasing concentrations of chaotropic agents
Pulse refolding method
Use of lipid/detergent mixed micelles during refolding
Low yield:
Scale-up cultivation using bioreactors with controlled parameters
Optimize codon usage for E. coli expression
Use fusion partners that enhance solubility (MBP, SUMO, Trx)
Alternative expression systems:
Cell-free protein synthesis systems supplemented with lipids/detergents
Pseudomonas-based expression systems for homologous expression
Bacillus subtilis expression for Gram-positive bacterial environments
These strategies have been successfully applied to other membrane proteins in Pseudomonas species, as demonstrated by subcellular fractionation and localization studies of membrane-associated proteins . The key is to maintain the native membrane environment during extraction and purification to preserve functional activity.
Determining the structure of recombinant atpB protein requires specialized approaches for membrane proteins:
X-ray crystallography:
Lipidic cubic phase (LCP) or bicelle crystallization
Vapor diffusion with detergent-solubilized protein
Antibody fragment co-crystallization to stabilize flexible regions
Typical resolution achieved: 2.5-3.5 Å
Cryo-electron microscopy (Cryo-EM):
Single-particle analysis using 300 kV electron microscopes
Processing with software packages like RELION or cryoSPARC
Advantages: no need for crystals, captures multiple conformational states
Typical resolution for membrane proteins: 3-4 Å
Nuclear Magnetic Resonance (NMR):
Solution NMR for smaller domains
Solid-state NMR for full-length protein in lipid environments
Selective isotope labeling (13C, 15N, 2H) for specific residue analysis
Best for dynamics studies and ligand binding
Integrative structural biology approaches:
Combine low-resolution techniques (SAXS, SANS) with high-resolution methods
Molecular dynamics simulations to model protein-lipid interactions
Crosslinking mass spectrometry to identify spatial relationships
Computational prediction methods:
AlphaFold2 or RoseTTAFold for initial structural models
Molecular dynamics refinement in explicit membrane environments
Rigorous validation using experimental constraints
The structural analysis of atpB is critical for understanding its functional mechanism within the ATP synthase complex and can reveal potential sites for mutagenesis studies targeting the proton channel functionality .
Accurately measuring ATPase activity of recombinant atpB requires specialized assays that account for its role within the ATP synthase complex:
Reconstitution into proteoliposomes:
Mix purified atpB with lipid mixtures (POPC/POPE/cardiolipin, 70:20:10)
Remove detergent using Bio-Beads or dialysis
Verify incorporation by freeze-fracture electron microscopy
Establish proton gradient using acid-base transition or valinomycin/K+
Coupled enzyme assays:
ATP hydrolysis coupled to NADH oxidation via pyruvate kinase and lactate dehydrogenase
Continuous spectrophotometric monitoring at 340 nm
Calculate activity using extinction coefficient of NADH (6,220 M-1 cm-1)
Phosphate release assays:
Malachite green assay for endpoint measurements
EnzChek Phosphate Assay Kit for continuous monitoring
Standard curve ranging from 0.1-10 μM phosphate
Luciferase-based ATP detection:
Highly sensitive for measuring ATP synthesis
Linear detection range: 10-9 to 10-6 M ATP
Requires careful control of background ATP levels
Typical activity parameters for wildtype atpB:
| Parameter | Value | Conditions |
|---|---|---|
| Km (ATP) | 0.2-0.5 mM | pH 8.0, 25°C |
| Vmax | 2-5 μmol Pi/min/mg | pH 8.0, 25°C |
| pH optimum | 7.5-8.0 | 30°C |
| Temperature optimum | 30-35°C | pH 8.0 |
| Mg2+ requirement | 2-5 mM | Essential cofactor |
These assays should include appropriate controls, such as known ATPase inhibitors (oligomycin, DCCD) and uncouplers (CCCP) to validate the specific activity of properly assembled ATP synthase complexes containing atpB .
Studying atpB protein-protein interactions within the ATP synthase complex requires techniques that preserve native contacts:
Chemical cross-linking coupled with mass spectrometry (XL-MS):
Cross-linkers: DSS (amine-reactive), EDC (zero-length), photo-reactive compounds
Sample digestion and cross-linked peptide enrichment
LC-MS/MS analysis with specialized software (pLink, StavroX, XlinkX)
Provides spatial constraints for interacting residues
Co-immunoprecipitation with subunit-specific antibodies:
Generate antibodies against atpB or other ATP synthase subunits
Perform IP under mild solubilization conditions
Identify interacting partners by Western blot or mass spectrometry
Quantify interaction strength under varying conditions
Förster Resonance Energy Transfer (FRET):
Label atpB and potential partners with compatible fluorophores
Measure energy transfer as evidence of proximity (<10 nm)
Can be performed in vivo using fluorescent protein fusions
Allows for dynamic interaction studies
Surface Plasmon Resonance (SPR):
Immobilize purified atpB on sensor chip
Flow potential interacting partners and measure binding kinetics
Determine association/dissociation constants (ka, kd, KD)
Requires careful control of detergent conditions
Bacterial two-hybrid systems:
BACTH (Bacterial Adenylate Cyclase Two-Hybrid) system
Modified yeast two-hybrid adapted for bacterial membrane proteins
Allows screening for interactions in near-native conditions
Native gel electrophoresis:
Blue native PAGE preserves protein complexes
Clear native PAGE for activity staining
2D native/SDS-PAGE to identify complex components
These techniques have been successfully applied to study protein-protein interactions in other bacterial systems, including the ArtR protein in P. aeruginosa, which was localized in cellular fractions using similar approaches . Combinatorial use of multiple techniques provides the most comprehensive understanding of the interaction network.
Gene knockout or conditional expression systems provide powerful tools for studying atpB function in P. syringae pv. tomato:
Gene knockout strategies:
Homologous recombination-based methods:
CRISPR-Cas9 genome editing:
Design sgRNAs targeting atpB coding sequence
Introduce Cas9 and sgRNA via broad-host-range vectors
Screen for editing events by phenotypic selection and sequencing
Transposon mutagenesis:
Conditional expression systems:
Inducible promoter systems:
pBAD (arabinose-inducible)
pTet (tetracycline-responsive)
pLac (IPTG-inducible)
Titrate inducer concentration to achieve varied expression levels
Temperature-sensitive alleles:
Site-directed mutagenesis to generate conditional mutants
Characterize growth and ATP synthase activity at permissive vs. restrictive temperatures
Degron-based systems:
Fusion of atpB to destabilizing domains controlled by small molecules
Rapid protein depletion upon addition of inducer
Phenotypic characterization:
Growth rate measurement in different carbon sources and environmental conditions
Membrane potential assessment using fluorescent dyes (DiSC3)
Intracellular ATP levels using luciferase-based assays
Bacterial motility and biofilm formation assays
Plant infection assays to assess virulence effects
Since ATP synthase is likely essential, conditional systems may be necessary to study atpB function, similar to approaches used for other essential genes in Pseudomonas species . Complementation with wild-type or mutant versions can confirm specificity of phenotypes and allow structure-function analyses.
Analyzing the contribution of atpB to bacterial fitness and virulence requires multifaceted approaches:
In vitro fitness assessments:
Growth curve analysis:
Measure growth parameters (lag time, doubling time, maximum OD)
Test multiple media conditions (minimal vs. rich, carbon sources)
Growth under stress conditions (pH, temperature, oxidative stress)
Competition assays:
Co-culture wild-type and atpB-modified strains
Differentiate strains using antibiotic markers or fluorescent proteins
Calculate competitive index (CI) after several generations
Stress response characterization:
pH tolerance:
Growth in buffered media at pH range 5.0-8.0
Internal pH measurement using ratiometric dyes
Energy stress response:
Transcriptomic analysis under ATP-limiting conditions
Metabolomic profiling to detect compensatory pathways
Proteome changes using quantitative mass spectrometry
Virulence-related phenotypes:
Plant infection models:
Tomato leaf infiltration assays
Disease symptom scoring and bacterial population measurements
In planta competitive index determination
Hypersensitive response:
Non-host plant infiltration assays
Cell death quantification using ion leakage measurements
Type III secretion system activity:
Biofilm formation:
Static microtiter plate assays with crystal violet staining
Flow cell microscopy for architectural analysis
Extracellular polymeric substance quantification
Advanced in vivo tracking:
Bioluminescent imaging to track infection in real-time
Confocal microscopy with fluorescently labeled strains
Spatial transcriptomics to map gene expression during infection
These approaches can reveal how atpB-mediated energy generation impacts various aspects of bacterial physiology and virulence, similar to how essential gene studies have been conducted in P. aeruginosa .
Mutations in conserved residues of atpB have significant effects on proton translocation and ATP synthesis, which can be assessed through carefully designed experiments:
Site-directed mutagenesis strategies:
Target conserved residues identified through multiple sequence alignment
Focus on arginine residues in the proposed proton channel
Create alanine substitutions for size-neutral effects
Implement charge-reversal mutations (positive to negative)
Generate conservative substitutions (e.g., Arg to Lys) to assess charge importance
Functional analysis of mutants:
ATP synthesis assays:
Measure ATP production in inverted membrane vesicles
Assess P/O ratio (ATP formed per oxygen consumed)
Determine maximum ATP synthesis rate and proton requirements
Proton translocation measurements:
ACMA fluorescence quenching assays
Radioisotope (³H⁺) uptake experiments
Patch-clamp electrophysiology of reconstituted proteins
Effects on specific parameters:
| Mutation Type | Typical Effects on ATP Synthesis | Proton Translocation Effects | Structural Consequences |
|---|---|---|---|
| R→A at proton path | 75-95% activity reduction | Increased passive proton leak | Minimal structural change |
| E→Q at c-ring interface | 50-90% activity reduction | Impaired c-ring rotation | Altered subunit interactions |
| G→A in transmembrane helix | Context-dependent | Possible helix distortion | Altered packing of helices |
| S/T→A at phosphorylation sites | Regulation defects | Normal basal activity | Loss of regulatory flexibility |
Thermodynamic analysis:
Measure ΔpH and ΔΨ components of proton motive force
Calculate thermodynamic efficiency (ATP formed/theoretical maximum)
Determine threshold PMF required for ATP synthesis
Advanced biophysical characterization:
Hydrogen-deuterium exchange mass spectrometry to detect conformational changes
Molecular dynamics simulations to visualize proton paths
Single-molecule FRET to observe conformational dynamics
These studies can reveal the critical residues involved in coupling proton movement to ATP synthesis, similar to approaches used in other energy-coupling membrane proteins in various bacterial species .
High-throughput screening approaches for identifying inhibitors or modulators of atpB function can be implemented using the following methodologies:
In vitro ATP synthase activity assays:
Miniaturized coupled enzyme assays:
Adapt standard ATPase assays to 384 or 1536-well formats
Measure NADH absorbance decrease at 340 nm
Z' factor optimization for robust screening (target Z' > 0.7)
Bioluminescence-based ATP detection:
Use luciferase reaction to quantify ATP synthesis
Amenable to ultra-high-throughput formats
Higher sensitivity than coupled enzyme assays
Whole-cell based screens:
Growth inhibition assays:
Wild-type vs. atpB-sensitized strains
Differential sensitivity indicates target specificity
Calculate selectivity index for each compound
Reporter-based systems:
GFP fusion to monitor atpB expression/stability
Stress-responsive promoters to detect ATP synthase inhibition
Membrane potential-sensitive fluorescent dyes (DiSC3, JC-1)
Fragment-based screening approaches:
Surface plasmon resonance with immobilized atpB
Thermal shift assays to detect binding-induced stabilization
NMR-based fragment screening for binding site identification
In silico screening methods:
Structure-based virtual screening against atpB binding sites
Molecular docking of compound libraries
Pharmacophore modeling based on known ATP synthase inhibitors
Molecular dynamics simulations to identify allosteric sites
Screening data analysis and validation:
| Screening Phase | Typical Compound Numbers | Key Metrics | Secondary Validation |
|---|---|---|---|
| Primary screen | 10,000-500,000 | % inhibition at single concentration | Dose-response curves |
| Hit confirmation | 200-1,000 | IC50, Hill slope | Target engagement assays |
| Lead optimization | 20-100 | Physicochemical properties, selectivity | Mechanism of action studies |
Target validation techniques:
Generation of resistant mutants
Overexpression of atpB to verify target
Direct binding measurements (SPR, ITC)
Chemical proteomics to confirm in-cell target engagement
These approaches can be used to discover compounds that specifically target atpB function, potentially leading to new antibacterial agents or chemical biology tools to study ATP synthase function, similar to approaches used to identify vulnerabilities in P. aeruginosa metabolism .
Cutting-edge approaches for studying atpB dynamics within the ATP synthase complex include:
Time-resolved structural methods:
Time-resolved cryo-EM:
Capture distinct conformational states during catalytic cycle
Mixing-spraying techniques for millisecond time resolution
3D classification to identify conformational ensembles
Time-resolved X-ray free electron laser (XFEL) crystallography:
Pump-probe experiments with sub-picosecond resolution
Capture transient intermediate states during proton translocation
Microcrystal delivery systems for serial femtosecond crystallography
Advanced spectroscopic techniques:
Single-molecule FRET:
Monitor distance changes between labeled subunits in real-time
Track rotational movements of c-ring relative to atpB
Analyze dwell times and step sizes during ATP synthesis
Electron paramagnetic resonance (EPR) spectroscopy:
Site-directed spin labeling of specific atpB residues
Distance measurements between spin labels (DEER/PELDOR)
Local environment changes during catalytic cycle
High-speed atomic force microscopy (HS-AFM):
Visualize conformational changes at nanometer resolution
Capture ATP synthase rotary motion in native-like lipid environments
Correlate structural changes with biochemical states
Advanced computational approaches:
Molecular dynamics simulations:
Enhanced sampling methods (metadynamics, umbrella sampling)
Coarse-grained simulations for longer timescales
Computational electrophysiology to model proton translocation
Quantum mechanics/molecular mechanics (QM/MM):
Model proton transfer events with quantum accuracy
Calculate energy barriers for critical steps
Predict effects of mutations on proton pathway
In-cell structural biology:
Cryo-electron tomography:
Visualize ATP synthase in its native cellular context
Subtomogram averaging for higher resolution
Correlative light and electron microscopy for specific targeting
In-cell NMR:
Isotope labeling of atpB in living bacteria
Monitor structural changes in response to metabolic shifts
Detect ligand binding events in the native environment
These cutting-edge approaches can provide unprecedented insights into how atpB facilitates proton movement and contributes to the rotary mechanism of ATP synthase, building upon knowledge of energy-coupling membrane proteins described in the literature .
Systems biology approaches can effectively integrate atpB function into broader metabolic and virulence networks through multi-omics and computational modeling:
Multi-omics integration:
Transcriptomics:
RNA-seq comparison of wild-type vs. atpB-modulated strains
Identification of compensatory expression networks
Time-course analysis during environmental transitions
Proteomics:
Global proteome changes using quantitative mass spectrometry
Phosphoproteomics to identify regulatory networks
Protein-protein interaction networks via proximity labeling (BioID, APEX)
Metabolomics:
Central carbon metabolite profiling
Energy charge ratio (ATP/ADP/AMP) measurements
Flux analysis using 13C-labeled substrates
Multi-omics data integration:
Correlation networks across datasets
Pathway enrichment analysis
Causal network inference algorithms
Genome-scale metabolic modeling:
Network analysis approaches:
Protein-protein interaction networks centered on ATP synthase
Regulatory network mapping through ChIP-seq of transcription factors
Epistasis mapping through double-mutant phenotypic analysis
Network perturbation analysis to identify key control points
Advanced computational modeling:
| Modeling Approach | Applications | Outputs | Validation Methods |
|---|---|---|---|
| Ordinary differential equations | Dynamic modeling of ATP synthase activity | Time-course predictions, parameter sensitivity | Time-resolved experimental data |
| Agent-based modeling | Cellular behavior in host environments | Emergent population behaviors | In planta bacterial population dynamics |
| Bayesian networks | Causal inference from multi-omics data | Probability of directional relationships | Targeted experimental verification |
| Machine learning | Integration of heterogeneous datasets | Feature importance, classification of states | Cross-validation, prospective predictions |
Experimental validation of systems predictions:
These systems biology approaches can reveal how atpB and ATP synthase function is integrated with other cellular processes, providing a holistic understanding of bacterial physiology and identifying potential intervention points for antimicrobial development.