KEGG: avi:Avi_4108
STRING: 311402.Avi_4108
ATP synthase subunit alpha (atpA) in A. vitis forms part of the F1 catalytic domain of the bacterial ATP synthase complex. This complex is responsible for generating ATP by harnessing the energy from proton gradients across the cell membrane. The alpha subunit works in conjunction with the beta subunit to form the catalytic core where ATP synthesis occurs. Similar to other systems, such as chloroplast ATP synthase, the alpha subunit (AtpA) is one of the essential components responsible for enzymatic activity . For research purposes, understanding the structural and functional characteristics of atpA provides insights into A. vitis bioenergetics.
Studying partial recombinant atpA offers several methodological advantages:
Expression efficiency: Partial proteins often express at higher levels with better solubility than full-length membrane-associated proteins
Domain-specific analysis: Allows focused study on specific functional domains (e.g., nucleotide binding sites)
Reduced complexity: Eliminates potentially problematic regions (hydrophobic segments, disordered regions)
Crystallization potential: Improved probability of obtaining structural data through X-ray crystallography
Epitope mapping: Facilitates identification of specific antigenic determinants
For researchers investigating specific aspects of atpA function, using a partial construct enables targeted analysis while avoiding technical challenges associated with full-length membrane protein expression.
Several expression systems can be employed for recombinant A. vitis atpA production, each with specific advantages:
| Expression System | Advantages | Considerations | Recommended Conditions |
|---|---|---|---|
| E. coli BL21(DE3) | High yield, fast growth | Potential inclusion body formation | Induction at 18°C, 0.1-0.5 mM IPTG |
| E. coli Rosetta | Better codon usage for A. vitis | Slightly lower yields | Induction at 20°C, overnight expression |
| Cell-free systems | Avoids toxicity issues | Higher cost, lower yield | Use E. coli extracts with supplemented chaperones |
| Yeast (P. pastoris) | Better folding for complex proteins | Longer development time | Methanol induction at lower temperatures |
For optimal results with A. vitis atpA, the E. coli BL21(DE3) system using a pET vector with a C-terminal His-tag and expression at 18°C has proven effective for similar bacterial ATP synthase subunits. Addition of fusion partners such as MBP (maltose-binding protein) may further enhance solubility for partial atpA constructs.
A multi-step purification approach is recommended for obtaining high-purity recombinant A. vitis atpA:
Initial capture:
Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin for His-tagged protein
Buffer recommendation: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, with gradient elution (20-250 mM imidazole)
Intermediate purification:
Ion exchange chromatography based on the theoretical pI of atpA
Buffer recommendation: 20 mM Tris-HCl pH 8.0 with 0-500 mM NaCl gradient
Final polishing:
Size exclusion chromatography to remove aggregates and obtain homogeneous protein
Buffer recommendation: 20 mM Tris-HCl pH 8.0, 150 mM NaCl, 5% glycerol, 1 mM DTT
This strategy typically yields >95% pure protein suitable for functional and structural studies. For studies requiring higher purity, additional chromatography steps such as hydroxyapatite chromatography may be incorporated.
Recombinant bacterial proteins like A. vitis atpA often present expression and solubility challenges. Methodological solutions include:
For low expression levels:
Optimize codon usage for expression host
Test different promoter strengths
Screen multiple expression vectors and fusion tags
Validate expression construct sequencing to ensure correct reading frame
For protein insolubility:
Lower induction temperature (16-20°C)
Reduce inducer concentration (0.1 mM IPTG)
Co-express with molecular chaperones (GroEL/ES, DnaK/J)
Use solubility-enhancing fusion partners (MBP, SUMO, TRX)
Include mild detergents (0.05% Triton X-100) during extraction
For protein instability:
Add stabilizing agents (5-10% glycerol, 1 mM DTT)
Optimize buffer pH and ionic strength
Include protease inhibitors during purification
Test arginine and glutamic acid additions (50-100 mM)
These approaches have proven effective for other bacterial ATP synthase components and should be systematically tested for A. vitis atpA.
Multiple complementary approaches should be employed to verify that recombinant A. vitis atpA maintains native characteristics:
Structural integrity assessment:
Circular dichroism spectroscopy to analyze secondary structure elements
Intrinsic fluorescence to probe tertiary structure and folding
Thermal shift assays to evaluate protein stability
Limited proteolysis to examine domain organization
Functional assays:
ATP binding assays using TNP-ATP fluorescence
ATPase activity measurements via malachite green phosphate detection
Nucleotide binding kinetics via isothermal titration calorimetry
Interaction studies:
Pull-down assays with other ATP synthase subunits
Surface plasmon resonance to quantify binding kinetics
Native PAGE to detect complex formation
Similar approaches have been successfully applied to characterize interactions between subunits of chloroplast ATP synthase, where the interaction between YL1 and AtpB subunits was established through complementary techniques .
Site-directed mutagenesis provides a powerful approach for investigating structure-function relationships in ATP synthase components:
Target selection strategy:
Conserved residues identified through multi-species sequence alignments
Residues in predicted catalytic sites based on homology models
Positively charged residues potentially involved in phosphate binding
Residues at predicted subunit interfaces
Mutagenesis experimental design:
Conservative mutations (e.g., Lys→Arg) to maintain charge but alter geometry
Non-conservative mutations (e.g., Lys→Ala) to eliminate functionality
Charge reversal mutations (e.g., Lys→Glu) to test electrostatic interactions
Systematic alanine scanning of targeted regions
Functional impact assessment:
Measure changes in ATP binding affinity
Quantify effects on catalytic rates and efficiency
Determine alterations in protein stability
Analyze disruptions to protein-protein interactions
When interpreting mutagenesis results, it's essential to distinguish between direct effects on catalysis versus indirect effects on protein folding or complex assembly. Multiple complementary assays should be performed for each mutant.
Buffer composition significantly impacts both stability and activity of ATP synthase components:
| Buffer Component | Optimal Range | Effect on atpA | Experimental Consideration |
|---|---|---|---|
| pH | 7.5-8.0 | Affects catalytic activity and stability | Test pH range from 6.5-9.0 in 0.5 unit increments |
| Ionic strength | 100-200 mM NaCl | Influences protein solubility and interactions | Screen 50-500 mM NaCl |
| Divalent cations | 2-5 mM MgCl₂ | Essential for nucleotide binding and catalysis | Test Mg²⁺, Mn²⁺, Ca²⁺ at 1-10 mM |
| Reducing agents | 1-5 mM DTT or TCEP | Prevents oxidation of cysteine residues | Fresh addition before experiments |
| Stabilizing agents | 5-10% glycerol, 0.5-1 M sucrose | Enhances protein stability | Important for long-term storage |
For activity assays, the buffer should mimic physiological conditions while maintaining protein stability. A starting buffer for A. vitis atpA characterization is 50 mM Tris-HCl pH 8.0, 150 mM NaCl, 5 mM MgCl₂, 1 mM DTT, and 10% glycerol, with systematic variation of components to identify optimal conditions.
Multiple complementary approaches can reveal subunit interactions within the ATP synthase complex:
In vitro binding assays:
Pull-down assays with recombinant subunits
Surface plasmon resonance for binding kinetics
Isothermal titration calorimetry for thermodynamic parameters
Microscale thermophoresis for interaction analysis
Cross-linking approaches:
Chemical cross-linking followed by mass spectrometry (XL-MS)
Photo-affinity labeling to capture transient interactions
Site-specific incorporation of photo-cross-linkable amino acids
Hybrid structural methods:
Cryo-electron microscopy of reconstituted complexes
Small-angle X-ray scattering (SAXS) of subunit combinations
Hydrogen-deuterium exchange mass spectrometry to map interfaces
Cellular methods:
Bacterial two-hybrid systems
Fluorescence resonance energy transfer (FRET)
Co-immunoprecipitation from A. vitis extracts
Similar methods have been successfully applied to study interactions between YL1 and AtpB in chloroplast ATP synthase using yeast two-hybrid and bimolecular fluorescence complementation assays .
For accurate structural modeling of A. vitis atpA, a hierarchical approach combining multiple methods is recommended:
Template selection and evaluation:
Identify homologous structures from bacterial ATP synthases
Prioritize templates with highest sequence identity to A. vitis atpA
Evaluate template quality (resolution, R-factors, Ramachandran statistics)
Consider using multiple templates for different domains
Modeling software selection strategy:
SWISS-MODEL for high sequence identity templates (>40%)
I-TASSER for more distant homologs
AlphaFold2 for highest accuracy in contemporary modeling
Rosetta for loop modeling and refinement
Model validation protocol:
PROCHECK for stereochemical quality
VERIFY3D for sequence-structure compatibility
ProSA-web for knowledge-based energy assessment
MolProbity for all-atom contact analysis
Refinement methodology:
Energy minimization using molecular mechanics force fields
Limited molecular dynamics simulations to relax strained regions
Side chain repacking in interface regions
Loop refinement for variable regions
When applying these methods to atpA, particular attention should be paid to the nucleotide binding pocket and regions involved in subunit interactions, as these are functionally critical and likely to be conserved.
Understanding catalytic differences between ATP synthase alpha subunits from different bacterial species provides evolutionary and functional insights:
Experimental design for comparative analysis:
Express recombinant atpA from multiple bacterial species using identical systems
Standardize purification protocols to ensure comparable protein quality
Employ consistent assay conditions across all protein variants
Include appropriate controls (e.g., catalytically inactive mutants)
Kinetic parameters to measure:
ATP binding affinity (Kd) via isothermal titration calorimetry
Catalytic efficiency (kcat/Km) using coupled enzyme assays
pH optimum and profile across physiological range
Temperature dependence and activation energy
Regulatory differences to examine:
Response to different nucleotides (ATP, GTP, CTP)
Inhibitor sensitivity profiles
Allosteric regulation mechanisms
Subunit interactions affecting catalysis
Data analysis approach:
Statistical comparison of kinetic parameters
Principal component analysis of activity profiles
Structure-function correlation with molecular features
Phylogenetic analysis in relation to catalytic properties
These comparative analyses can reveal adaptations in A. vitis ATP synthase related to its specific ecological niche and lifestyle as a plant pathogen.
Protein aggregation is a common challenge with ATP synthase components. Methodological solutions include:
During expression:
Lower expression temperature (16-18°C)
Reduce induction strength (0.1 mM IPTG)
Co-express with molecular chaperones
Use specialized strains (e.g., ArcticExpress, SHuffle)
During purification:
Maintain protein at concentrations below aggregation threshold
Include mild detergents (0.03% DDM or 0.05% CHAPS)
Add stabilizing agents (5-10% glycerol, 100-200 mM L-arginine)
Implement on-column refolding for inclusion bodies
For storage and handling:
Optimize buffer composition (pH, salt concentration)
Store at moderate concentrations (1-2 mg/ml)
Add reducing agents to prevent disulfide-mediated aggregation
Consider flash-freezing in small aliquots with cryoprotectants
Analysis of aggregation:
Dynamic light scattering to monitor size distribution
Size exclusion chromatography to quantify oligomeric states
Analytical ultracentrifugation for detailed aggregation analysis
ThT fluorescence to detect amyloid-like aggregation
Each approach should be systematically tested and optimized for A. vitis atpA based on empirical results.
When facing inconsistent results in ATP synthase activity measurements:
Systematic methodology validation:
Compare multiple assay methods (coupled enzymatic, colorimetric, radioisotopic)
Validate assay components with positive controls (commercial ATPases)
Determine assay detection limits and linear range
Calculate signal-to-noise ratio and optimization
Protein quality assessment:
Verify homogeneity by size exclusion chromatography
Assess stability over time at assay temperature
Confirm protein concentration using multiple methods
Check for inhibitory contaminants from purification
Experimental condition analysis:
Test activity across pH range (pH 6.0-9.0)
Vary ionic strength systematically (50-500 mM)
Titrate divalent cation concentration (1-20 mM Mg²⁺)
Examine temperature dependence (20-40°C)
Data analysis approaches:
Implement appropriate statistical methods for significance testing
Use global fitting for complex kinetic models
Apply outlier detection algorithms
Consider alternative mechanistic models
When reporting results, transparently document all methods, conditions, and variations to allow reproducibility and proper interpretation by the scientific community.
Low protein yield can be addressed through systematic optimization:
Expression vector optimization:
Test multiple promoter strengths (T7, tac, araBAD)
Optimize codon usage for expression host
Adjust 5' untranslated region for optimal translation initiation
Screen different fusion tags (His6, GST, MBP, SUMO)
Host strain selection:
Compare standard strains (BL21, Rosetta) with specialized strains
Test strains with extra chaperones (Arctic Express, OverExpress)
Consider strains with altered redox environment (SHuffle, Origami)
Evaluate toxicity through growth curve analysis
Culture condition optimization:
Screen media formulations (LB, TB, auto-induction)
Test different induction points (early, mid, late log phase)
Optimize inducer concentration through systematic titration
Evaluate co-additives (sorbitol, betaine, ethanol, metal ions)
Protein extraction enhancement:
Compare mechanical (sonication, homogenization) and chemical lysis
Test specialized extraction buffers with detergents
Implement on-column refolding for inclusion bodies
Optimize cell density at harvest
For challenging proteins like A. vitis atpA, combining multiple approaches is often necessary to achieve acceptable yields. Establishing a Design of Experiments (DoE) approach can efficiently identify optimal combinations of these variables.
Comparing bacterial and plant chloroplast ATP synthases provides evolutionary insights:
Structural similarities:
Both contain alpha/beta hexameric arrangements in the F1 catalytic domain
Core catalytic mechanisms conserved across domains of life
Similar nucleotide binding sites and catalytic residues
Key differences:
Chloroplast ATP synthase contains plant-specific regulatory subunits
Chloroplast ATP synthase is regulated by light-dependent processes
A. vitis ATP synthase likely evolved for bacterial physiological needs
Functional implications:
Bacterial ATP synthases primarily function in ATP production during respiration
Chloroplast ATP synthases coordinate with photosynthetic electron transport
Different regulatory mechanisms reflect distinct energy management strategies
Research on chloroplast ATP synthase has demonstrated that specific factors like YL1 are required for efficient biogenesis and assembly . Such specialized assembly factors might have bacterial counterparts in A. vitis that could be identified through comparative genomics.
The well-characterized T-DNA transfer process in A. vitis provides contextual understanding for ATP synthase research:
Physiological connections:
Energy requirements during infection and gene transfer processes
ATP synthase activity changes during host interaction
Potential metabolic adaptations during plant colonization
Research methodology crossover:
Genetic manipulation techniques established for virulence studies
Host interaction models that influence metabolic regulation
Strain characterization methods applicable to bioenergetic studies
Studies characterizing A. vitis strains have revealed different host range capabilities , suggesting potential metabolic adaptations that might involve energy production systems. Researchers studying A. vitis ATP synthase should consider how these virulence mechanisms interact with cellular bioenergetics during host infection.
Post-translational modifications (PTMs) can significantly impact ATP synthase function:
Common ATP synthase PTMs in bacteria:
Phosphorylation affecting catalytic activity and regulation
Acetylation influencing protein stability and interactions
Oxidative modifications during stress responses
Analytical approaches for PTM identification:
LC-MS/MS analysis with enrichment strategies
Phospho-specific antibodies for targeted detection
Chemical labeling approaches for specific modifications
Targeted proteomic methods for modification quantification
Functional consequences to investigate:
Activity regulation through reversible modifications
Complex assembly and stability effects
Stress response and environmental adaptation mechanisms
Experimental design for PTM studies:
Compare PTM profiles under different growth conditions
Generate site-directed mutants at modified residues
Develop in vitro modification systems to test direct effects
Compare modification patterns across related bacterial species
This research area remains largely unexplored for A. vitis and represents an opportunity to discover novel regulatory mechanisms for bacterial ATP synthases.
Cryo-EM offers transformative potential for ATP synthase structural studies:
Advantages for ATP synthase research:
Visualization of complete ATP synthase complexes in near-native states
No crystallization requirement, overcoming a major hurdle for membrane proteins
Ability to capture different conformational states during catalytic cycle
Potential for subnanometer resolution of the entire complex
Sample preparation considerations:
Detergent selection for membrane extraction (DDM, LMNG)
Reconstitution into nanodiscs to mimic native membrane environment
Vitrification conditions optimization to prevent preferred orientation
Concentration balancing to avoid aggregation while maintaining visibility
Data collection and processing strategy:
Collection of large datasets (>5000 micrographs) to capture rare conformations
Use of energy filters and phase plates to enhance contrast
Particle picking optimization for heterogeneous samples
3D classification to separate distinct conformational states
Integration with complementary methods:
Molecular dynamics simulations to model dynamic regions
Crosslinking mass spectrometry to validate subunit interactions
Functional assays to correlate structure with activity states
This approach would enable visualization of how A. vitis ATP synthase subunits, including atpA, assemble into a functional complex.
Connecting T-DNA excision with ATP synthase function opens new research directions:
Potential metabolic connections:
Energy requirements during T-DNA processing and transfer
ATP-dependent steps in the infection process
Metabolic changes during different stages of plant interaction
Experimental approaches:
Monitor ATP synthase activity during T-DNA excision
Compare energy metabolism in strains with different excision frequencies
Analyze effects of ATP synthase inhibitors on T-DNA transfer
Measure ATP levels in bacteria during plant interaction
Research on A. vitis has shown that T-DNA excision can be stimulated by grapevine tissues but not by acetosyringone (AS), differing from A. tumefaciens where the opposite effect is observed . This suggests unique signaling pathways in A. vitis that may interact with energy metabolism regulation.
Systems-level analysis provides comprehensive understanding of ATP synthase in cellular context:
Multi-omics integration strategy:
Combine transcriptomics, proteomics, and metabolomics data
Correlate ATP synthase expression with metabolic states
Identify regulatory networks controlling bioenergetics
Map protein-protein interaction networks centered on ATP synthase
Metabolic modeling approaches:
Construct genome-scale metabolic models for A. vitis
Perform flux balance analysis to predict energy requirements
Simulate the effects of environmental changes on ATP demand
Model metabolic adaptation during host interaction
Network analysis methods:
Identify hub proteins connecting energy metabolism to other processes
Perform pathway enrichment analysis for associated functions
Construct gene regulatory networks controlling ATP synthase expression
Compare networks across different growth conditions
Experimental validation approaches:
Gene knockout studies of predicted regulators
Metabolic flux analysis using isotope tracers
Targeted proteomics to quantify pathway components
ChIP-seq to identify transcription factor binding sites
This systems approach would place A. vitis ATP synthase in the broader context of bacterial physiology and host-pathogen interactions, potentially revealing novel therapeutic targets.