Recombinant Oryza sativa subsp. indica V-type proton ATPase 16 kDa proteolipid subunit (VATP-P1) is a synthetic protein derived from the V-type ATPase (vacuolar ATPase) in rice. This enzyme complex is critical for maintaining proton gradients across cellular membranes, particularly in plant vacuoles, which regulate ion transport, pH homeostasis, and osmoregulation .
Key Features:
Proteolipid Subunit: Integral membrane component of the V-ATPase complex, facilitating proton translocation .
Conserved Domains: High sequence homology with orthologs in Arabidopsis thaliana (99% identity), Kalanchoe daigremontiana (99%), and Oryza sativa subsp. japonica (96%) .
Recombinant Modifications: Expressed in E. coli with an N-terminal His-tag for purification .
| Species | Identity (%) | Positives (%) | Score (bits) | Source |
|---|---|---|---|---|
| Arabidopsis thaliana | 99 | 100 | 312 | |
| Kalanchoe daigremontiana | 99 | 100 | 312 | |
| O. sativa subsp. japonica | 96 | 98 | 305 |
VATP-P1 is produced via recombinant DNA technology in E. coli, leveraging its cost-effectiveness and scalability . Key attributes:
| Parameter | Detail | Source |
|---|---|---|
| Host | E. coli (BL21(DE3) or DH5α strains) | |
| Tag | N-terminal His-tag | |
| Purity | ≥85% (SDS-PAGE validated) | |
| Protein Length | Full-length (1–165 aa) |
As part of the V-ATPase complex, VATP-P1 contributes to:
Proton Pumping: Translocation of H⁺ ions across membranes to create gradients essential for nutrient uptake and organelle pH regulation .
Osmoregulation: Critical in plant responses to salinity and drought stress .
VATP-P1 is used in:
Low Solubility: Inherent hydrophobicity of membrane proteins complicates crystallization and functional studies .
Sparse Functional Data: Limited direct evidence linking VATP-P1 to specific phenotypes in O. sativa .
| Feature | O. sativa subsp. indica | O. sativa subsp. japonica | Avena sativa |
|---|---|---|---|
| GenBank ID | A2ZBW5 | LOC4349890 | Unavailable |
| Host | E. coli | E. coli | E. coli |
| Tag | His | His | His |
| Price Range | $1,000–$2,000 (approx.) | $1,000–$2,000 (approx.) | $1,000–$2,000 (approx.) |
STRING: 39946.BGIOSGA034426-PA
VATP-P1 serves as a proton-conducting pore-forming subunit in the V0 complex of the vacuolar (H+)-ATPase. By analogy with the human homolog, it likely participates in:
Acidification and pH maintenance of intracellular compartments
Proton translocation across membranes
In plant cells, V-type ATPases are particularly important for:
Vacuolar acidification
Stress response mechanisms
Cell expansion and growth
Nutrient storage and mobilization
The protein forms part of a multisubunit enzyme complex that includes both the V1 complex (responsible for ATP hydrolysis) and the V0 complex (responsible for proton translocation across membranes).
Reconstitution Protocol:
Centrifuge the vial briefly before opening to bring contents to the bottom
Reconstitute the lyophilized protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (50% is recommended)
Storage Recommendations:
| Storage Condition | Purpose | Notes |
|---|---|---|
| -20°C/-80°C | Long-term storage | Store upon receipt; aliquoting necessary for multiple use |
| 4°C | Working aliquots | Store for up to one week |
Important Considerations:
Avoid repeated freeze-thaw cycles as they can compromise protein integrity
The protein is typically shipped as a lyophilized powder in a Tris/PBS-based buffer with 6% Trehalose at pH 8.0
For experimental reproducibility, document storage conditions in all research protocols
Several methodological approaches can be employed:
ATPase Activity Assays:
Measure ATP hydrolysis rates using colorimetric phosphate detection
Compare activity with and without specific inhibitors (e.g., bafilomycin A1)
Assess pH-dependency of enzymatic activity
Proton Transport Assays:
Reconstitute protein in liposomes with pH-sensitive fluorescent dyes
Monitor changes in fluorescence upon ATP addition
Quantify proton transport rates under different conditions
Protein-Protein Interaction Studies:
Use pull-down assays with the His-tag to identify binding partners
Employ cross-linking approaches to capture transient interactions
Perform co-immunoprecipitation with antibodies against VATP-P1
Structural Analysis:
Circular dichroism to assess secondary structure
Limited proteolysis to identify flexible regions
Potentially crystallization trials for high-resolution structure determination
For all these approaches, the recombinant protein with >90% purity as determined by SDS-PAGE would be suitable .
The recombinant VATP-P1 is expressed in E. coli and contains an N-terminal His-tag, which introduces several differences compared to the native protein:
Post-translational modifications:
The recombinant protein lacks plant-specific post-translational modifications
This may affect certain protein-protein interactions or regulatory mechanisms
Solubility and folding:
His-tagged proteins may exhibit altered solubility properties
The tag can potentially interfere with proper folding in some cases
Activity considerations:
The recombinant protein is typically isolated outside its normal complex
Full activity may require reconstitution with other V-ATPase components
Methodological approach to assess comparability:
Conduct parallel activity assays with native (isolated from rice) and recombinant protein
Compare secondary structure using spectroscopic methods
Assess the impact of His-tag removal on function using proteolytic cleavage
Creating functional proteoliposomes with VATP-P1 requires careful optimization:
Protocol Considerations:
Lipid composition:
A mixture of phosphatidylcholine and phosphatidylethanolamine (7:3 ratio) provides a good starting point
Cholesterol (10-20 mol%) can improve stability
Consider including plant-specific lipids like phosphatidylinositol phosphates for enhanced activity
Reconstitution method:
Detergent-mediated reconstitution using mild detergents (e.g., DDM or C12E8)
Gradual detergent removal via Bio-Beads or dialysis
Protein:lipid ratio optimization (start with 1:100 w/w)
Buffer conditions:
pH gradient formation: internal pH 7.4, external pH 6.0
KCl or NaCl (100-150 mM) to maintain osmotic balance
Mg2+ (1-5 mM) as a cofactor for the ATPase component
Validation approaches:
Freeze-fracture electron microscopy to confirm integration
Protease protection assays to verify orientation
Fluorescent probes to monitor proton pumping activity
Successful reconstitution requires iterative optimization, with each parameter systematically varied while monitoring functional outcomes.
Data discrepancies are common when studying complex membrane proteins like VATP-P1. A methodological approach to address these includes:
Standardization of protein preparation:
Use consistent expression systems and purification protocols
Implement quality control checks (e.g., SDS-PAGE, circular dichroism)
Quantify protein concentration using multiple methods (Bradford, BCA, A280)
Normalization strategies:
Calculate specific activity (activity per mg protein)
Use internal controls for each experimental batch
Develop correction factors based on reference standards
Statistical analysis of variability:
Perform power analysis to determine appropriate sample sizes
Use ANOVA with post-hoc tests to identify significant differences
Implement mixed-effects models to account for batch variation
Cross-validation between methods:
Compare results from complementary techniques (e.g., ATPase activity vs. proton pumping)
Use both bulk measurements and single-molecule approaches
Correlate in vitro findings with cellular assays
| Source of Variability | Detection Method | Mitigation Strategy |
|---|---|---|
| Protein purity | SDS-PAGE, mass spec | Implement additional purification steps |
| Aggregation state | Dynamic light scattering | Optimize buffer conditions |
| Lipid environment | Thin layer chromatography | Standardize lipid composition |
| Assay interference | Control reactions | Include appropriate blanks and controls |
By systematically addressing these factors, researchers can improve data consistency and resolve apparent contradictions in experimental results.
Advanced methodologies for investigating VATP-P1's role in stress responses include:
CRISPR-Cas9 gene editing:
Generate precise point mutations to study structure-function relationships
Create conditional knockouts using inducible promoters
Implement base editing for subtle modifications without double-strand breaks
Quantitative proteomics:
Use SILAC or TMT labeling to track stress-induced protein changes
Monitor post-translational modifications under different stress conditions
Employ proximity labeling (BioID, APEX) to identify stress-specific interaction partners
Live-cell imaging techniques:
Fluorescently tag VATP-P1 with minimal functional disruption
Employ pH-sensitive fluorescent proteins to monitor compartmental pH changes
Use FRET-based approaches to detect conformational changes in response to stress
Electrophysiological approaches:
Patch-clamp recordings of vacuolar membranes
Planar lipid bilayer reconstitution of purified components
Whole-cell current measurements in heterologous expression systems
These advanced techniques can reveal the dynamic regulation of VATP-P1 during environmental stresses such as drought, salinity, or pathogen attack, providing insights beyond static structural studies.
Rigorous experimental design requires appropriate controls:
Negative controls:
Inactive mutants (e.g., mutation in the proton-binding glutamate residue)
Heat-denatured protein preparations
Reconstitution systems without protein
Positive controls:
Specificity controls:
Other membrane proteins of similar size/hydrophobicity
Different subunits from the V-ATPase complex
Proteins from unrelated proton transport systems (e.g., F-type ATPases)
Validation controls:
Complementation assays in knockout systems
Inhibitor sensitivity profiles
Antibody validation using knockout/knockdown samples
When comparing across species, it's essential to account for differences in optimal reaction conditions:
| Parameter | Considerations for Cross-Species Comparison |
|---|---|
| Temperature | Adapt to physiological temperatures of each organism |
| pH optima | Test activity across a pH range (5.0-8.0) |
| Salt sensitivity | Vary ionic strength for each protein |
| Lipid requirements | Include species-specific lipids when possible |
Investigating protein-protein interactions within the V-ATPase complex requires specialized techniques:
Co-expression systems:
Design multi-protein expression vectors containing various subunits
Implement orthogonal affinity tags for sequential purification
Use insect cell or yeast expression systems for complex assemblies
In vitro reconstitution approaches:
Stepwise addition of purified components with activity monitoring
Chemical cross-linking followed by mass spectrometry
Microscale thermophoresis to measure binding affinities
Isothermal titration calorimetry for thermodynamic parameters
Structural biology techniques:
Cryo-electron microscopy of the assembled complex
Hydrogen-deuterium exchange mass spectrometry to map interfaces
FRET-based approaches to monitor conformational changes
Computational modeling validated by experimental constraints
In vivo interaction mapping:
Bimolecular fluorescence complementation
Proximity-dependent biotin labeling (BioID, TurboID)
FRET/FLIM imaging in living cells
Co-immunoprecipitation with subunit-specific antibodies
| Technique | Information Obtained | Limitations |
|---|---|---|
| Cryo-EM | High-resolution structure of the complex | Requires stable complex; challenging for dynamic interactions |
| Cross-linking MS | Identification of residues at interaction interfaces | Potential for artificial interactions |
| Co-IP | Verification of interactions in cellular context | May not distinguish direct vs. indirect interactions |
| HDX-MS | Dynamics of protein interfaces | Limited spatial resolution |
By combining multiple complementary approaches, researchers can build a comprehensive understanding of how VATP-P1 integrates into the V-ATPase complex and contributes to its function.
The critical role of V-type ATPases in plant stress responses makes VATP-P1 a promising target for crop improvement:
Genetic engineering approaches:
Overexpression under stress-inducible promoters
Introduction of specific mutations that enhance activity or stability
CRISPR-based promoter editing to modify expression patterns
Introgression of superior alleles from wild relatives
Phenotypic evaluation protocol:
Measure vacuolar pH using ratiometric fluorescent probes
Assess V-ATPase activity in isolated tonoplast vesicles
Quantify stress tolerance using standardized assays (drought, salt, cold)
Monitor growth parameters and yield components under stress conditions
Methodological considerations for translational research:
Test modifications in model systems before crop plants
Conduct field trials under diverse environmental conditions
Evaluate potential unintended consequences on plant development
Assess energy allocation trade-offs between stress resistance and yield
This research direction could lead to crops with enhanced ability to maintain cellular homeostasis under adverse conditions, potentially improving agricultural resilience to climate change.
While ERP (Event-Related Potential) and neuroimaging studies primarily focus on neural activity, methodological approaches from these fields can inform research on plant signaling:
Temporal dynamics analysis:
ERP studies reveal precise timing of neural responses (P1 and N1 components)
Similar high-temporal resolution techniques (e.g., fast fluorescence imaging) can track proton fluxes and signaling events in plant cells
Time-resolved analysis can distinguish between primary and secondary responses to stress
Spatial mapping approaches:
Analogously, subcellular localization of VATP-P1 and monitoring of compartment-specific pH changes can map proton fluxes within plant cells
Combined with genetically encoded sensors, this creates a comprehensive "activity map" of cellular responses
Integration of multiple signals:
While the biological systems differ significantly, the methodological principles of tracking spatiotemporal activity patterns can be valuable for understanding how V-ATPase function contributes to plant cellular signaling networks.