Recombinant Rhodobacter sphaeroides ATP synthase subunit c 2 (atpE2) is a lipid-binding protein critical for the proton translocation and ATP synthesis functions of the F₀F₁-ATP synthase complex. This subunit belongs to the F₀ sector, which facilitates proton movement across the membrane, driving ATP synthesis. The recombinant form is produced via heterologous expression systems for structural, functional, and biochemical studies .
The protein contains a transmembrane domain and a soluble lumenal region, with lipid-binding activity critical for F₀ assembly and proton channel formation .
Proton Translocation: Forms part of the c-ring (c₁₀–c₁₃ in Rhodobacter spp.) that drives ATP synthesis via proton motive force .
Lipid Interactions: Binds membrane lipids (e.g., PE/PG) to stabilize the F₀ structure .
| Host | Advantages | Product Code (Example) |
|---|---|---|
| E. coli | High yield, cost-effective, scalable | CSB-CF388445RIJ , RFL15872RF |
| Yeast/Baculovirus | Post-translational modifications (if required) | N/A |
Key commercial products include:
Full-length His-tagged atpE2: Expressed in E. coli with a sequence spanning residues 1–83 .
Stability: Lyophilized or liquid forms stored at -20°C/-80°C .
Essentiality: ATP synthase subunits are indispensable for viability, as deletions in Rhodobacter spp. lead to cell death .
Structural Studies: Cryo-EM analyses of related complexes reveal c-subunit heme binding and transmembrane helical arrangements .
KEGG: rsh:Rsph17029_4101
Subunit c 2 (atpE2) in R. sphaeroides is a component of the F0 sector of the ATP synthase complex. It forms part of the c-ring structure that functions as an ion channel through the membrane and is directly involved in proton translocation. Unlike some bacteria with a single atpE gene, R. sphaeroides possesses multiple c-subunit genes including atpE2, contributing to the unique properties of its ATP synthase complex .
The protein typically contains two transmembrane α-helices connected by a small loop region, with a conserved acidic residue (glutamate or aspartate) that is essential for proton binding and transport during ATP synthesis. This structure is consistent with the general architecture observed in other bacterial ATP synthases, though with species-specific adaptations for function in photosynthetic membranes .
The gene organization of ATP synthase in Rhodobacter species exhibits a distinctive arrangement compared to most bacteria. In R. sphaeroides, similar to its relative R. capsulatus, the ATP synthase genes are split into two separate operons :
The F0 operon: Contains genes encoding the membrane-embedded components
The F1 operon (atpHAGDC): Contains genes encoding the extrinsic sector components
This arrangement differs from the more common single-operon organization found in most non-photosynthetic bacteria, where all ATP synthase genes are arranged in a single cluster with F0 genes preceding F1 genes. The split operon arrangement is shared with some other photosynthetic bacteria, including members of the Rhodospirillaceae family like Rhodospirillum rubrum .
This unique gene organization may provide regulatory advantages, allowing differential expression of F0 and F1 components in response to changing environmental conditions, particularly important for photosynthetic bacteria that must adapt to varying light intensities .
Expression of recombinant R. sphaeroides atpE2 presents challenges due to its hydrophobic nature and role as a membrane protein. Based on approaches used for similar proteins, the following expression systems and protocols are recommended:
Expression System Comparison:
| System | Advantages | Disadvantages | Typical Yield |
|---|---|---|---|
| E. coli C43(DE3) | Designed for membrane proteins | Moderate yield | 0.3-1.5 mg/L |
| Homologous expression | Native folding environment | Complex genetics | 0.2-0.8 mg/L |
| Cell-free system | Avoids toxicity issues | Higher cost | 0.1-0.5 mg/L |
Recommended Protocol:
Clone atpE2 into a vector with a C-terminal His6-tag
Transform into E. coli C43(DE3) cells (specialized for membrane proteins)
Grow cultures at 30°C to OD600 of 0.6-0.8
Induce with 0.1-0.5 mM IPTG
Reduce temperature to 18°C after induction
Continue expression for 16-20 hours
Harvest cells for membrane isolation
For improved solubility, consider fusion partners like maltose-binding protein (MBP) or thioredoxin, though these must be removed for functional studies .
Purification of recombinant atpE2 requires specialized approaches due to its hydrophobic properties. The following optimized protocol can yield pure, functional protein:
Membrane Isolation:
Disrupt cells via sonication or French press in buffer containing 50 mM Tris-HCl pH 8.0, 5 mM MgCl2, 10% glycerol
Remove debris by centrifugation (10,000 × g)
Collect membranes by ultracentrifugation (150,000 × g)
Solubilization:
Resuspend membranes in buffer with 1-2% n-dodecyl β-D-maltoside (DDM)
Incubate with gentle agitation (1-2 hours, 4°C)
Remove insoluble material by ultracentrifugation
Affinity Chromatography:
Load solubilized material onto Ni-NTA column with 0.05% DDM
Wash with 20-40 mM imidazole
Elute with 250-300 mM imidazole gradient
Size Exclusion Chromatography:
Apply concentrated protein to Superdex 200 column
Use buffer containing 0.03% DDM or 0.05% digitonin
Critical Parameters to Monitor:
| Parameter | Recommended Range | Effect on Purification |
|---|---|---|
| Detergent concentration | 0.03-0.05% (above CMC) | Below CMC: protein aggregation |
| Salt concentration | 100-300 mM NaCl | Too low: aggregation; Too high: reduced binding |
| pH | 7.5-8.0 | Below 7.0: reduced stability |
| Temperature | 4°C throughout | Higher temperatures accelerate degradation |
The storage conditions described for related ATP synthase subunits suggest that purified atpE2 should be stored at -20°C in a glycerol-containing buffer to maintain stability .
Confirming that recombinant atpE2 is properly folded and functional is crucial before proceeding with further experiments. Multiple complementary approaches should be employed:
Structural Integrity Assessment:
Circular dichroism (CD) spectroscopy to confirm α-helical content (should be >65%)
Limited proteolysis patterns compared to native protein
Binding of specific inhibitors like DCCD (dicyclohexylcarbodiimide)
Assembly Verification:
Blue native PAGE to analyze incorporation into the c-ring complex
Crosslinking studies to confirm proper subunit interactions
Size exclusion chromatography to verify oligomeric state
Functional Assays:
Reconstitution into proteoliposomes with other ATP synthase components
ATP synthesis activity driven by artificial proton gradient
Proton translocation measured with pH-sensitive fluorescent dyes
A key validation approach is comparative analysis with native ATP synthase, where recombinant atpE2 should support at least 70% of the ATP synthesis rate observed with native complexes under identical conditions .
The c-ring stoichiometry (number of c subunits per ring) in R. sphaeroides ATP synthase directly impacts its bioenergetic properties and is a critical parameter for understanding the enzyme's function in energy conversion:
The c-ring stoichiometry determines the H⁺/ATP ratio, as each c subunit carries one proton during rotation. While the exact number for R. sphaeroides has not been definitively established, comparative studies suggest it likely contains 11-13 c subunits per ring, compared to 10 in E. coli and 8 in mitochondrial ATP synthase .
Functional Implications of c-ring Stoichiometry:
| Stoichiometry | H⁺/ATP Ratio | Advantage | Disadvantage |
|---|---|---|---|
| Lower (8-10) | 2.7-3.3 | Higher ATP synthesis rate | Requires larger proton gradient |
| Higher (12-15) | 4.0-5.0 | Functions in smaller gradient | Lower ATP synthesis rate |
This stoichiometry is particularly relevant for photosynthetic bacteria like R. sphaeroides that must adapt to varying light conditions. Under low light, the smaller proton gradient may favor a higher c-ring stoichiometry to maintain ATP synthesis efficiency .
Research methods to determine c-ring stoichiometry include high-resolution structural techniques (cryo-EM, X-ray crystallography), mass spectrometry of intact c-rings, and functional studies comparing proton translocation to ATP synthesis rates.
Understanding interactions between atpE2 and other ATP synthase subunits is crucial for elucidating complex assembly and function. Several complementary techniques provide valuable insights:
In Vitro Interaction Analysis:
Co-immunoprecipitation (Co-IP):
Express tagged atpE2 and potential partner proteins
Solubilize with mild detergents (digitonin, DDM)
Perform pull-down assays with appropriate antibodies
Analyze precipitated proteins by immunoblotting or mass spectrometry
Surface Plasmon Resonance (SPR):
Immobilize purified atpE2 on sensor chip
Flow potential interacting partners over the surface
Measure association/dissociation kinetics
Determine binding affinities (KD values)
Cross-linking coupled with mass spectrometry (XL-MS):
Use membrane-permeable crosslinkers (DSS, BS3)
Identify crosslinked peptides by MS/MS analysis
Map interaction interfaces at amino acid resolution
In Vivo Interaction Analysis:
Genetic suppressor analysis:
Introduce mutations in atpE2
Screen for compensatory mutations in other subunits
Map functional interaction networks
Critical interaction regions identified in c subunits of related ATP synthases include:
The C-terminal helix interacting with subunit a (atpB)
The N-terminal helix forming contacts with adjacent c subunits in the ring
The loop region potentially interacting with the central stalk during rotation
The proton-binding site in atpE2, centered around a conserved acidic residue (typically glutamate or aspartate), is essential for the proton translocation mechanism that drives ATP synthesis. Mutations in this region have profound functional consequences:
Effects of Key Mutations:
| Mutation Type | Typical Effect | Mechanistic Impact | Detection Method |
|---|---|---|---|
| E→Q (neutralization) | Loss of function | Eliminates proton binding | ATP synthesis assay |
| E→D (conserved charge) | Reduced activity | Altered pKa affects proton affinity | pH-dependent activity |
| Adjacent residues | Variable effects | Altered local environment | Comparative analysis |
When studying such mutations, researchers often encounter contradictory results between in vivo and in vitro systems. This typically occurs because:
In vivo systems may compensate through:
Upregulation of alternative c subunit isoforms
Adjustments in membrane composition
Altered expression of other ATP synthase components
In vitro reconstituted systems lack these compensatory mechanisms, often revealing the direct effect of mutations more clearly
The best experimental approach involves combining in vivo studies (growth phenotypes, cellular ATP levels) with in vitro biochemical characterization (proton binding affinity, ATP synthesis rates) to comprehensively understand the functional impact of mutations .
The study of atpE2 provides valuable insights into ATP synthase evolution in photosynthetic bacteria, particularly regarding adaptation to specialized energy conversion requirements:
Evolutionary Analysis Approaches:
Comparative Genomics:
Align atpE2 sequences across diverse photosynthetic bacteria
Identify conserved motifs versus species-specific adaptations
Map sequence diversity to functional regions
Construct phylogenetic trees to trace evolutionary relationships
The distribution of multiple c subunit genes (including atpE2) appears to be a characteristic feature of purple photosynthetic bacteria like Rhodobacter species and related organisms like Rhodospirillum rubrum. This contrasts with most non-photosynthetic bacteria that possess a single c subunit gene .
Structure-Function Correlation:
Compare proton-binding site architecture across species
Analyze c-ring stoichiometry variations
Identify adaptations related to membrane environment
Adaptive Evolution Analysis:
Calculate selection pressures (dN/dS ratios)
Identify sites under positive selection
Correlate with functional or environmental adaptations
Research suggests that the split operon arrangement seen in Rhodobacter species, with separate F0 and F1 operons, represents an evolutionarily distinct lineage among bacteria. This arrangement likely evolved to allow for differential regulation of the membrane-embedded and catalytic sectors in response to changing photosynthetic conditions .
Understanding the energy conversion efficiency of ATP synthase containing atpE2 is crucial for characterizing how R. sphaeroides optimizes its bioenergetics under varying environmental conditions:
Efficiency Measurement Approaches:
H⁺/ATP Ratio Determination:
Measure proton uptake using pH-sensitive dyes
Simultaneously quantify ATP synthesis
Calculate ratio under varying conditions
Compare with theoretical models
Thermodynamic Efficiency Analysis:
Create defined proton gradients (ΔpH and Δψ)
Measure ATP synthesis rates
Calculate energy stored as ATP versus input energy
Determine efficiency as percentage of theoretical maximum
Experimental Systems:
For chromatophore-based studies, researchers can determine efficiency by measuring the number of photons required per ATP synthesized. This approach provides insights into how the native system containing atpE2 functions within the complete photosynthetic apparatus .
The analysis and interpretation of c-ring assembly data for systems containing recombinant atpE2 requires careful consideration of multiple factors:
Data Collection Methods:
Blue Native PAGE:
Sample preparation is critical - maintain native interactions
Use appropriate detergent:protein ratio
Run alongside native ATP synthase complex as control
Quantify band intensities for assembly efficiency
Size Exclusion Chromatography:
Monitor elution profile at 280 nm
Compare with known standards and native complex
Analyze peak symmetry as indicator of homogeneity
Calculate theoretical vs. observed molecular weight
Analytical Ultracentrifugation:
Obtain sedimentation coefficient (S-value)
Calculate molecular weight from sedimentation data
Assess heterogeneity in assembly states
Interpretation Framework:
| Observation | Possible Interpretation | Further Validation |
|---|---|---|
| Multiple assembly states | Incomplete/alternative assembly | Mass spectrometry to identify components |
| Shifted molecular weight | Altered stoichiometry | Quantitative protein analysis |
| Reduced stability | Weakened subunit interactions | Thermal or chemical denaturation assays |
When analyzing data that appears contradictory, consider that c-ring assembly is highly dependent on:
Detergent type and concentration
Lipid environment
Presence of other ATP synthase subunits
Buffer conditions including pH and ionic strength
A common pitfall is comparing assembly data obtained under different solubilization conditions. Standardizing these conditions or systematically exploring their effects can help resolve apparent contradictions in the data .
Recommended Statistical Methods:
Multiple Sequence Alignment Analysis:
Calculate conservation scores for each position
Identify co-evolving residues using mutual information
Cluster analysis to identify functional domains
Statistical significance determined by comparison to random alignments
Structure-Function Correlation:
Multiple regression analysis for multi-parameter relationships
ANOVA for comparing effects of different mutations
Principal Component Analysis to identify key variables
Bootstrapping to assess confidence in structural predictions
Enzyme Kinetics Analysis:
Non-linear regression for determining kinetic parameters
Statistical comparison of parameters between variants
Power analysis to determine required replication
Data Presentation Guidelines:
| Data Type | Recommended Visualization | Statistical Test | Minimum Replication |
|---|---|---|---|
| Activity measurements | Box plots with individual data points | ANOVA or t-test | n=3-5 independent preparations |
| Binding affinities | Scatterplots with fitted curves | F-test for curve comparison | n=3 with technical replicates |
| Structural parameters | Heatmaps correlated to function | Correlation analysis | Dependent on measurement type |
When designing experiments to establish structure-function relationships, consider:
Using multiple independent protein preparations
Including positive and negative controls in each experiment
Employing dose-response relationships where applicable
Validating findings with complementary techniques
The statistical approach should match the experimental design and question being addressed. For complex datasets involving multiple variables, multivariate analysis or machine learning approaches may be appropriate to identify patterns not evident in simple pairwise comparisons .
Integration Approaches:
Recent work on R. sphaeroides chromatophores demonstrates how molecular-level details of ATP synthase can be integrated into vesicle-scale models of energy conversion. These models calculate ATP production rates as a function of illumination and vesicle stoichiometry, providing insights into how these bacteria optimize energy conversion under low-light conditions typical of their natural habitat .
Key Integration Parameters:
By connecting the molecular properties of atpE2 to these system-level parameters, researchers can understand how specific adaptations in this subunit contribute to the remarkable efficiency of photosynthetic energy conversion in R. sphaeroides .