KEGG: pop:Poptr_cp007
STRING: 3694.POPTR_0017s11090.1
Populus trichocarpa ATP synthase subunit c, chloroplastic (atpH) is a small membrane protein consisting of 81 amino acids with the sequence: MNPLISAASVIAAGLAVGLASIGPGVGQGTAAGQAVEGIARQPEAEGKIRGTLLLSLAFMEALTIYGLVVALALLFANPFV . The protein is highly hydrophobic, containing primarily non-polar amino acids that facilitate its insertion into the membrane. As part of the F0 sector of ATP synthase, subunit c forms an oligomeric ring structure embedded in the membrane. This c-ring plays a crucial role in the rotary mechanism of ATP synthase, converting the proton gradient energy into mechanical rotation that drives ATP synthesis.
Escherichia coli is the most commonly used expression system for recombinant Populus trichocarpa atpH protein production . When designing an expression system, researchers should consider:
Vector selection: pET vectors with T7 promoters are effective for membrane protein expression
E. coli strain optimization: BL21(DE3) or C41(DE3) strains are often used for membrane proteins
Induction conditions: Lower temperatures (16-20°C) and reduced IPTG concentrations (0.1-0.5 mM) can improve proper folding
Addition of solubility tags: His-tags facilitate purification while potentially enhancing solubility
For optimal protein yields, expression parameters should be systematically tested using an experimental design approach with controlled variables (temperature, induction time, media composition) while measuring the dependent variable (protein yield) .
Purification of recombinant His-tagged atpH protein typically involves:
Cell lysis: Mechanical disruption or detergent-based methods optimized for membrane proteins
Membrane isolation: Differential centrifugation to isolate membrane fractions
Solubilization: Use of appropriate detergents (DDM, LDAO, or Triton X-100)
Affinity chromatography: Ni-NTA or TALON resin binding to the His-tag
Size exclusion chromatography: For further purification and buffer exchange
Similar to the approach by Sugiura et al. for other membrane proteins, researchers may consider ion exchange chromatography using DEAE-cellulose followed by ammonium sulfate fractionation for increased purity . Protein purity should be verified using SDS-PAGE analysis, with expected purity greater than 90% for most research applications .
Recombinant atpH protein stability depends on appropriate storage conditions:
Short-term storage: Keep working aliquots at 4°C for up to one week
Long-term storage: Store at -20°C/-80°C in aliquots to avoid repeated freeze-thaw cycles
Lyophilization: The protein can be supplied as lyophilized powder
Reconstitution: Use deionized sterile water to reconstitute to 0.1-1.0 mg/mL
Cryoprotectant addition: Add glycerol to a final concentration of 5-50% (recommended 50%)
The storage buffer should be Tris/PBS-based with 6% trehalose at pH 8.0 to maintain protein integrity . Stability should be monitored periodically using activity assays or structural analysis techniques.
The assembly of ATP synthase in plants like Populus trichocarpa shares fundamental similarities with other organisms but exhibits important distinctions:
Modular assembly: Similar to yeast, ATP synthase assembly in plants likely involves distinct modules: the c-ring, F1, and the membrane subunits
Convergent pathways: Evidence suggests two separate pathways (F1/c-subunit assembly and membrane subunit/stator assembly) that converge at the final stages
Chloroplast-specific factors: Unlike mitochondrial ATP synthase, chloroplastic assembly requires chloroplast-specific chaperones and assembly factors
Translational regulation: Expression of plastid-encoded subunits may be translationally regulated by nuclear-encoded components, similar to the regulation observed in yeast where F1 regulates the translation of subunits 6 and 8
ATP synthase assembly in Populus trichocarpa likely follows this sequence: assembly of the c-ring → binding of F1 → attachment of the stator arm → incorporation of additional membrane subunits . This differs from bacterial systems where the assembly process is less compartmentalized.
When addressing contradictory results regarding atpH function, researchers should employ:
Topological data analysis (TDA): Use computational approaches to identify patterns in contradictory datasets. TDA can reveal structural relationships between seemingly disparate experimental results by identifying topological features that remain consistent despite data variations
Multi-method validation: Design experiments using complementary techniques:
Technique | Application | Resolution | Limitations |
---|---|---|---|
Site-directed mutagenesis | Structure-function | Amino acid level | Limited to conserved residues |
Cryo-EM | Structural analysis | 2-4Å | Static representation |
MD simulation | Dynamic behavior | Femtosecond | Computational constraints |
FRET analysis | Rotary mechanics | Nanometer | Requires fluorophore attachment |
Electrophysiology | Proton translocation | Single channel | Technical complexity |
Statistical rigor: Implement robust statistical analyses to distinguish biological variations from technical artifacts
Cross-species comparison: Compare function across evolutionary diverse organisms to identify conserved mechanisms versus species-specific adaptations
When analyzing contradictory results, researchers should consider that protein function may be context-dependent, varying with lipid environment, pH, temperature, or interaction partners .
The c-subunit (atpH) forms an oligomeric ring in the membrane domain (F0) that functions as the primary proton translocation apparatus:
Proton binding site: Each c-subunit contains a conserved carboxylate residue (typically glutamate or aspartate) that becomes protonated/deprotonated during the catalytic cycle
Rotation mechanism: Protonation changes drive rotation of the c-ring relative to subunit a, which contains the proton half-channels
Stoichiometry impact: The number of c-subunits per ring (typically 8-15) determines the H+/ATP ratio and thermodynamic efficiency
The direction of rotation in chloroplastic ATP synthase is clockwise (viewed from the membrane), opposite to that of mitochondrial ATP synthase, reflecting the reversed proton gradient direction . The precise mechanism involves:
Proton entry through a half-channel in subunit a
Protonation of the c-subunit carboxylate at the a/c interface
Rotation of the c-ring, moving the protonated site into the hydrophobic membrane environment
Deprotonation at another a/c interface, releasing the proton to the opposite side
Coupling of c-ring rotation to the central stalk (γ subunit), driving conformational changes in F1 that catalyze ATP synthesis
This mechanism represents a remarkable example of energy conversion from the electrochemical gradient to mechanical rotation to chemical synthesis.
Designing experiments to study lipid-atpH interactions requires a systematic approach:
Experimental Design Framework:
Reconstitution Approaches:
Prepare liposomes with defined lipid compositions
Reconstitute purified atpH or complete ATP synthase
Compare activity in different lipid environments
Advanced Biophysical Techniques:
Technique | Application | Measurement | Advantage |
---|---|---|---|
Solid-state NMR | Lipid-protein interface | Atomic resolution | Native-like environment |
Hydrogen-deuterium exchange | Membrane exposure | Peptide level | Conformational dynamics |
Fluorescence anisotropy | Lipid fluidity effects | Nanosecond | Real-time measurements |
Native mass spectrometry | Bound lipids | Exact mass | Direct detection of interactions |
Molecular dynamics | Interaction prediction | Atomistic | Parameter modification |
Mutational Analysis:
Generate atpH mutants with altered lipid-facing residues
Assess functional consequences in different lipid environments
Correlate structural changes with functional outcomes
This multi-faceted approach allows researchers to distinguish between specific lipid interactions that are essential for function versus those that modulate activity or provide structural support .
Several challenges exist when producing atpH for structural studies:
Membrane protein expression barriers:
Toxicity to host cells due to membrane disruption
Inclusion body formation requiring refolding
Low expression yields due to limited membrane surface area
Proper insertion into membranes requiring specialized machinery
Purification challenges:
Selecting detergents that maintain native structure
Preventing aggregation during concentration
Removing lipids while maintaining stability
Achieving homogeneity required for crystallography
Structural study limitations:
Difficulty obtaining crystals suitable for X-ray diffraction
Challenges in cryo-EM sample preparation for small membrane proteins
NMR signal overlap due to repetitive sequences
Native oligomeric state determination
Current methodological approaches to address these challenges include:
Fusion with solubility-enhancing partners
Green fluorescent protein fusions to monitor expression and folding
Nanodiscs or amphipols as detergent alternatives
Antibody fragment co-crystallization to increase polar surface area
Success in structural studies requires careful optimization of each experimental stage from expression to final analysis, often necessitating iterative refinement of conditions .
The c-subunit (atpH) serves as an excellent model system for studying fundamental aspects of membrane protein assembly:
Sequential assembly monitoring:
Assembly factor identification:
Genetic screens for assembly-deficient mutants
Proximity labeling to identify proteins in the assembly environment
Co-immunoprecipitation to isolate assembly complexes
Compartmentalization studies:
The atpH assembly process can be experimentally manipulated by:
Depleting specific assembly factors
Introducing mutations in interface residues
Altering membrane composition
Modifying environmental conditions (temperature, pH)
This systematic approach allows researchers to elucidate general principles of membrane protein assembly that may apply across diverse biological systems.
Computational approaches for predicting mutation effects include:
Sequence-based methods:
Conservation analysis across species
Coevolution detection to identify functionally linked residues
Machine learning algorithms trained on known mutations
Structure-based predictions:
Molecular dynamics simulations to assess structural stability
Free energy calculations for mutation impact
Electrostatic analysis for charged residue mutations
Protein-protein interface analysis for assembly effects
Integrated approaches:
Method | Strengths | Limitations | Application |
---|---|---|---|
Homology modeling | Uses related structures | Accuracy depends on template | Initial structural assessment |
Rosetta ddG | Fast energy calculations | Limited conformational sampling | Stability predictions |
FoldX | Empirical force field | Static structures | Rapid screening |
MD simulations | Dynamic behavior | Computationally intensive | Detailed mechanism analysis |
QM/MM methods | Chemical reaction analysis | Limited system size | Proton transfer modeling |
Validation approaches:
Retrospective analysis of known mutations
Cross-validation with experimental data
Statistical assessment of prediction accuracy
These computational methods can guide experimental design by identifying high-priority mutations for functional testing and providing mechanistic hypotheses for experimental validation .
When confronted with contradictory data regarding atpH structure and function, researchers should implement a systematic analysis approach:
Data characterization and classification:
Topological data analysis approach:
Meta-analysis framework:
Analysis Step | Method | Expected Outcome |
---|---|---|
Data extraction | Systematic literature review | Comprehensive dataset |
Quality assessment | GRADE criteria | Reliability ranking |
Effect size calculation | Standardized mean difference | Comparable results |
Heterogeneity analysis | I² statistic, forest plots | Variation quantification |
Publication bias evaluation | Funnel plots, Egger's test | Bias detection |
Sensitivity analysis | Leave-one-out method | Robustness assessment |
Experimental reconciliation:
This comprehensive approach can transform apparent contradictions into deeper insights about context-dependent behavior of atpH under different experimental conditions.
Several cutting-edge technologies are transforming our ability to study atpH dynamics:
Time-resolved structural methods:
Time-resolved cryo-EM with millisecond capture capability
Serial femtosecond crystallography using X-ray free-electron lasers
High-speed atomic force microscopy for direct observation of conformational changes
Single-molecule techniques:
FRET sensors positioned on rotating elements
Gold nanorod imaging for rotational dynamics
Magnetic tweezers to measure torque generation
Optical trapping to quantify mechanical forces
Advanced spectroscopic approaches:
2D infrared spectroscopy for protonation state detection
Site-specific vibrational probes to track local environment changes
EPR with spin labels at strategic positions
In-cell methodologies:
Genetically encoded sensors for conformational changes
Proximity labeling to map dynamic interactions
Super-resolution microscopy for in vivo visualization
These technologies will enable researchers to move beyond static structural models to understand how atpH functions dynamically within the complete ATP synthase complex during catalysis .
Designing comparative studies of atpH across plant species requires careful experimental planning:
Experimental design framework:
Sample selection considerations:
Include species representing major plant lineages
Consider plants adapted to different environmental conditions
Include species with sequenced genomes for accurate comparisons
Standardization requirements:
Parameter | Standardization Approach | Importance |
---|---|---|
Protein expression | Same vector and host system | Eliminates expression bias |
Purification protocol | Identical methods and buffers | Ensures comparable purity |
Functional assays | Standardized conditions and reagents | Enables direct comparison |
Data analysis | Consistent statistical methods | Prevents analytical artifacts |
Controls | Common reference species | Provides normalization benchmark |
Complementary approaches:
Sequence analysis for evolutionary patterns
Structural comparisons to identify conserved features
Chimeric proteins to map functional domains
Reciprocal complementation of mutants
This systematic approach allows researchers to distinguish between conserved mechanisms essential for atpH function versus species-specific adaptations that may reflect environmental or metabolic specialization .
A comprehensive quality control approach for recombinant atpH should include:
Purity assessment:
Structural integrity verification:
Circular dichroism for secondary structure content
Tryptophan fluorescence for tertiary structure assessment
Limited proteolysis to probe folding quality
Thermal shift assays for stability measurement
Functional validation:
Reconstitution into liposomes for proton translocation assays
Assembly with complementary subunits to form functional complexes
ATP synthesis activity when incorporated into the holoenzyme
Proton gradient formation/dissipation measurements
Oligomeric state analysis:
Blue native PAGE for native complex detection
Analytical ultracentrifugation for stoichiometry determination
Crosslinking studies for interaction mapping
Light scattering for molecular weight verification
Researchers should establish acceptance criteria for each quality parameter based on the specific experimental requirements, and maintain detailed documentation of quality control results for reproducible research .
Optimizing experiments to study atpH interactions requires a systematic approach:
Experimental design considerations:
In vitro interaction studies:
Technique | Information Provided | Sensitivity | Limitations |
---|---|---|---|
Surface plasmon resonance | Real-time kinetics | nM-μM | Requires surface immobilization |
Isothermal titration calorimetry | Thermodynamic parameters | μM | Sample intensive |
Microscale thermophoresis | Binding in solution | nM | Requires fluorescent labeling |
Biolayer interferometry | Association/dissociation rates | nM | Surface effects possible |
Native mass spectrometry | Complex stoichiometry | - | Limited by ionization efficiency |
In vivo interaction approaches:
Split-reporter complementation assays
FRET/BRET-based interaction monitoring
Proximity-dependent labeling (BioID, APEX)
Co-immunoprecipitation from native membranes
Structural studies of complexes:
Cross-linking mass spectrometry for interface mapping
Cryo-EM of reconstituted complexes
Hydrogen-deuterium exchange to identify protected regions
Computational docking validated by experimental constraints
By combining multiple complementary approaches and carefully controlling experimental variables, researchers can generate robust data on atpH interactions with other ATP synthase components .