Recombinant E. coli O17:K52:H18 ATP synthase subunit c (atpE) is a genetically engineered protein derived from the ATP synthase F₀ sector of E. coli serotype O17:K52:H18, a pathogenic strain associated with extraintestinal infections (ExPEC). Subunit c (atpE) is a critical component of the proton-translocating F₀ motor, forming a decameric ring (c₁₀) that drives ATP synthesis via proton gradient-driven rotation . Recombinant production typically involves expression in E. coli with an N-terminal His-tag for purification and structural studies .
Subunit c consists of:
Two transmembrane α-helices (TMH1 and TMH2) forming a hairpin structure .
A cytoplasmic loop containing conserved motifs (e.g., R(Q/N)P) critical for interactions with the F₁ γ/ε subunits and proton translocation .
Asp-61 (or equivalent) in TMH2, a conserved residue coordinating proton translocation .
Proton Translocation: Asp-61 mediates H⁺ transport across the membrane, driving rotation of the c-ring .
Coupling Mechanism: Interacts with subunit a and the peripheral stalk (b subunits) to synchronize proton flux and ATP synthesis .
Regulation: The C-terminal domain of subunit ε (not c) modulates ATPase activity, but subunit c’s structural integrity is essential for coupling .
Cryo-EM Structures: High-resolution maps of E. coli ATP synthase reveal four rotational states of the c-ring, elucidating elastic coupling between F₀ and F₁ motors .
Cardiolipin Interactions: Subunit c’s cytoplasmic loop binds cardiolipin, critical for stabilizing the F₀ stator and modulating ATP synthase activity .
EcDBS1R4: Disrupts cardiolipin interactions with subunit c, reducing ATP synthase activity by ~20% in lipid-rich membranes .
Lipid Dependence: Inhibition is observed only in membranes containing cardiolipin, highlighting lipid-composition-dependent modulation .
While subunit c itself is not directly pathogenic, its study in E. coli O17:K52:H18 (an ExPEC strain) informs mechanisms of bacterial energy metabolism under stress. For example:
Membrane Potential: Subunit c’s role in proton translocation is critical for maintaining membrane potential, enabling survival in host environments .
Antimicrobial Resistance: Understanding lipid interactions (e.g., cardiolipin) could guide novel therapeutic strategies targeting ATP synthase in pathogenic strains .
KEGG: eum:ECUMN_4267
ATP synthase subunit c (atpE) in E. coli is a critical component of the F₀ portion of F₁F₀-ATP synthase, responsible for catalyzing ATP production from ADP in the presence of proton gradients across the bacterial membrane. This enzyme acts as a proton channel, allowing H⁺ ions to flow through the membrane according to the electrochemical gradient, which drives the conformational changes needed for ATP synthesis . The atpE gene encodes this c subunit, which assembles into a ring structure within the membrane-embedded F₀ sector of the enzyme complex. This structure forms an essential part of the rotary mechanism that couples proton translocation to ATP synthesis through oxidative phosphorylation .
The intercistronic sequence located upstream of the atpE gene significantly enhances translational efficiency in E. coli. Research has demonstrated that this 30-bp sequence, positioned immediately upstream of the Shine-Dalgarno (SD) sequence, can increase gene expression by a factor of 6-10 when added to the translational initiation regions of other genes . This enhancement occurs through a specific pattern comprising a U-rich sequence followed by an interrupted A-rich sequence (UUUUAACUGAAACAAA), which likely functions as a recognition signal for the E. coli translational apparatus .
Importantly, this enhancement is not attributable to changes in mRNA stability or transcription rates but appears to be primarily due to the primary structure of this sequence acting as a specific recognition element for components of the translation machinery . This mechanism represents a natural enhancement strategy that can be harnessed for improved recombinant protein expression in E. coli-based systems.
Several methodological approaches can be employed to quantify atpE expression levels in recombinant E. coli systems:
Quantitative RT-PCR: Allows precise measurement of atpE mRNA levels, providing insight into transcriptional regulation.
Western blotting: Enables detection and semi-quantification of AtpE protein levels using specific antibodies against the c subunit or epitope tags incorporated into the recombinant protein.
Functional assays: Measurement of ATP synthase activity through biochemical assays that track ATP production rates or proton translocation.
Reporter gene constructs: Fusion of atpE regulatory elements with reporter genes like GFP or luciferase to monitor expression dynamics in real-time .
Ribosome profiling: Provides genome-wide information on translation efficiency by sequencing ribosome-protected mRNA fragments, offering insights into translational regulation of atpE.
When designing expression studies, researchers should consider that the addition of the 30-bp upstream sequence from the atpE gene to other gene constructs can significantly enhance their expression, making this sequence a valuable tool for improving recombinant protein yields .
To effectively investigate the translational enhancement mechanisms of atpE in E. coli O17:K52:H18, researchers should implement a multi-faceted experimental design approach:
Systematic mutagenesis studies: Create a library of variants with specific modifications to the U-rich and A-rich regions of the upstream enhancer sequence (UUUUAACUGAAACAAA) to determine the minimal sequence requirements and critical nucleotides for translational enhancement . This should include:
Single-nucleotide substitutions
Small deletions at different positions
Spacing alterations between key sequence elements
RNA structure analysis: Employ techniques like SHAPE (Selective 2'-hydroxyl acylation analyzed by primer extension) or RNA footprinting to determine if the enhancement is related to RNA structural features rather than primary sequence.
Ribosome binding assays: Use techniques such as toeprinting or filter-binding assays to quantitatively compare the affinity of ribosomes for mRNAs with and without the enhancer sequence.
In vitro translation systems: Test the enhancer sequence in purified translation systems to identify which components of the translation machinery interact with this sequence.
Cross-linking studies: Identify specific proteins that interact with the enhancer sequence through RNA-protein cross-linking followed by mass spectrometry analysis.
The experimental design should include appropriate controls, such as constructs with scrambled sequences maintaining the same nucleotide composition, to distinguish between sequence-specific effects and composition-based effects . Additionally, researchers should perform these experiments across different growth conditions to determine if the enhancement effect is modulated by physiological states.
Researchers studying atpE expression often encounter contradictory data due to several factors that must be systematically addressed:
Strain-specific variations: Different E. coli strains, particularly the O17:K52:H18 serotype versus common laboratory strains, may exhibit varying regulatory mechanisms for atpE expression. Researchers should:
Conduct parallel experiments in multiple strain backgrounds
Document complete strain information in publications
Consider the genomic context of atpE in each strain
Growth condition dependencies: The regulatory mechanisms may function differently under varying growth conditions. Contradictions may be resolved by:
Standardizing growth media composition and environmental parameters
Examining expression across growth phases
Testing under energy-limiting versus energy-abundant conditions
Methodological inconsistencies: Different measurement techniques can yield contradictory results. Solutions include:
Employing multiple orthogonal techniques to measure expression
Standardizing protein extraction protocols
Using internal controls appropriate for the specific conditions
Contextual effects: The enhancer sequence may function differently depending on the surrounding nucleotide context. Researchers should:
When analyzing contradictory data, researchers should create a comprehensive table documenting experimental variables across studies, including strain information, growth conditions, measurement methods, and sequence contexts. This systematic approach often reveals that apparent contradictions stem from undocumented differences in experimental parameters rather than true biological inconsistencies.
The structure-function relationship between recombinant and native AtpE proteins presents several key considerations for researchers:
Post-translational modifications: Native AtpE may undergo bacterial-specific modifications that affect function, which might be absent or altered in recombinant systems. Researchers should employ mass spectrometry to identify and compare modification patterns.
Oligomeric assembly: The c-subunit functions as a ring comprised of 8-15 identical subunits (depending on the organism). Recombinant expression may alter proper oligomerization, affecting:
Ring diameter and stoichiometry
Proton coordination capacity
Rotational efficiency of the entire ATP synthase complex
Membrane integration: As a highly hydrophobic protein, proper membrane insertion is critical for AtpE function. Recombinant expression can lead to:
Improper membrane targeting
Altered lipid interactions
Formation of inclusion bodies rather than functional membrane complexes
Interaction with other subunits: AtpE must interact correctly with other ATP synthase components. Using techniques like blue native PAGE and co-immunoprecipitation can reveal differences in protein-protein interaction profiles between native and recombinant forms.
A methodological approach to studying these differences should include:
Comparative structural analysis using cryo-EM to visualize the c-ring in both contexts
Functional assays measuring proton translocation efficiency
Stability assessments through thermal shift assays or limited proteolysis
Lipid interaction studies using reconstituted systems with defined lipid compositions
Researchers should note that even minor structural differences can significantly impact the rotary mechanism of ATP synthase, potentially affecting enzyme kinetics and energy transduction efficiency.
When designing cloning strategies for recombinant atpE expression in E. coli, researchers should consider several optimization approaches:
| Vector Type | Promoter | Induction Method | Tag Position | Yield | Membrane Integration |
|---|---|---|---|---|---|
| pET-28a | T7 | IPTG | N-terminal | High | Moderate |
| pBAD | araBAD | L-arabinose | C-terminal | Medium | Good |
| pTrc99A | trc | IPTG | None | Low | Excellent |
| pThioHis | T7 | IPTG | N-terminal | Medium | Poor |
| pUC19-atpE* | Native | Constitutive | None | Low | Excellent |
*Vector containing the native atpE upstream region including the 30-bp enhancer sequence
For optimal expression of functional atpE, the following methodological considerations are crucial:
Inclusion of the enhancer sequence: Incorporate the 30-bp upstream enhancer sequence (containing the U-rich and A-rich elements) to improve translational efficiency by 6-10 fold .
Codon optimization: While maintaining the critical regulatory elements, optimize the coding sequence for E. coli expression, particularly for codons that are rarely used in highly expressed E. coli genes.
Signal sequence selection: For proper membrane targeting, retain the native signal sequence or replace it with a well-characterized membrane protein leader sequence.
Induction conditions: Use lower induction temperatures (16-25°C) to facilitate proper membrane integration and prevent inclusion body formation.
Host strain selection: Consider membrane protein expression-optimized strains such as C41(DE3) or C43(DE3) that are derivatives of BL21(DE3) with adaptations for membrane protein expression.
The most successful approach typically combines the native enhancer sequence with a moderately strong inducible promoter, allowing researchers to balance expression levels with proper membrane integration . This approach minimizes the formation of inclusion bodies while maintaining sufficient yield for structural and functional studies.
Troubleshooting low yield or misfolding of recombinant AtpE requires a systematic approach addressing multiple aspects of protein expression and processing:
Expression-level issues:
Verify the presence of the 30-bp enhancer sequence upstream of the atpE gene, as this natural element can increase expression 6-10 fold
Examine mRNA stability using Northern blot or qRT-PCR to determine if the transcript is being rapidly degraded
Consider rare codon usage in the atpE sequence and use appropriate strains (e.g., Rosetta) that supply rare tRNAs
Membrane integration problems:
Gradually reduce induction temperature to 16-20°C to slow down protein synthesis and allow proper membrane insertion
Add specific lipids to the growth medium (0.2-0.5% of phosphatidylglycerol) to improve membrane protein folding
Implement a "shock" protocol where expression is induced at high OD followed by rapid temperature reduction
Protein toxicity management:
Use tightly regulated expression systems to prevent leaky expression
Consider dual-plasmid systems where chaperones are co-expressed
Implement a fed-batch culture system to maintain slow, controlled growth during expression
Extraction and purification optimization:
Compare different detergents for membrane protein extraction (DDM, LDAO, or digitonin)
Implement a two-step solubilization process where initial extraction is performed with a milder detergent
Consider native-PAGE analysis to verify oligomeric state after extraction
When troubleshooting, researchers should use a matrix-based approach where multiple variables are systematically altered in a factorial design. This allows identification of interaction effects between factors such as temperature, induction timing, and media composition that might not be apparent when changing only one variable at a time.
For comprehensive analysis of AtpE structure and function, researchers should employ multiple complementary techniques:
Cryo-electron microscopy: Provides high-resolution structural information about the c-ring assembly in its native lipid environment
X-ray crystallography: Useful for obtaining atomic-resolution structures of the protein, though crystallization may be challenging
Solid-state NMR: Particularly valuable for studying membrane-embedded regions and dynamics of the c-subunit
Hydrogen-deuterium exchange mass spectrometry: Provides information about solvent accessibility and protein dynamics
Reconstituted proteoliposome assays: Measure ATP synthesis driven by artificial proton gradients
ACMA fluorescence quenching: Monitors proton translocation activity of the reconstituted enzyme
Patch-clamp electrophysiology: Assesses ion channel properties of the c-ring
ATP hydrolysis assays: Measures the reverse reaction (ATP hydrolysis) as a proxy for ATP synthase functionality
Native mass spectrometry: Determines subunit stoichiometry and stability of protein complexes
Surface plasmon resonance: Quantifies binding kinetics between AtpE and potential inhibitors or other subunits
Cross-linking mass spectrometry: Identifies interaction interfaces between AtpE and other ATP synthase components
Förster resonance energy transfer (FRET): Monitors conformational changes during the catalytic cycle
Growth complementation assays: Tests whether recombinant AtpE can rescue growth defects in atpE-deficient strains
Membrane potential measurements: Uses potential-sensitive dyes to assess the impact of AtpE mutations on proton gradient maintenance
Isothermal titration calorimetry: Determines thermodynamic parameters of ligand binding to AtpE
The integration of these techniques provides a comprehensive understanding of both structural features and functional properties. For example, combining cryo-EM structural data with site-directed mutagenesis and functional assays can reveal how specific residues contribute to proton translocation and energy coupling . This multi-technique approach is essential for resolving contradictions in the literature and developing accurate models of AtpE function.
When faced with contradictory findings regarding atpE expression enhancement, researchers should implement a systematic analytical framework:
Context-dependent analysis: The 30-bp enhancer sequence (containing the U-rich and A-rich elements) upstream of atpE has been shown to enhance translational efficiency by 6-10 fold, but its effectiveness may vary depending on:
Hierarchical evaluation of evidence:
Prioritize direct measurements of protein levels (Western blot, mass spectrometry) over indirect measurements
Consider the temporal dimension of experiments (steady-state vs. kinetic measurements)
Evaluate the statistical robustness of contradictory findings (sample size, replicates, statistical tests)
Assess whether apparent contradictions reflect different aspects of a complex regulatory mechanism
Reconciliation strategies:
Design experiments that directly test competing hypotheses under identical conditions
Develop mathematical models that can accommodate seemingly contradictory data by incorporating additional variables
Consider that both observations may be correct under different conditions, suggesting condition-specific regulatory mechanisms
Mechanistic investigation:
Researchers should remember that the atpE enhancer sequence likely functions as a specific recognition signal for the E. coli translational apparatus rather than by influencing local secondary structure, as no obvious relationship exists between expression levels and predictable local mRNA secondary structures in the ribosome binding site region .
For optimal prediction of AtpE structure and interactions, researchers should employ multiple computational approaches that address different aspects of this membrane protein:
AlphaFold2/RoseTTAFold: These AI-based methods have revolutionized protein structure prediction and work well for single subunits of AtpE
MODELLER: Allows template-based modeling using known structures of c subunits from other organisms
Molecular dynamics with specialized membrane force fields: Essential for refining structures within a lipid bilayer environment
Symmetry-constrained modeling: Leverages the known symmetry of c-rings to build complete assemblies
Protein-protein docking with membrane constraints: Tools like HADDOCK-membrane or M-ZDOCK that account for the membrane environment
Coevolutionary analysis: Methods like EVcoupling to identify residue pairs likely to be in contact across subunit interfaces
Molecular docking: Programs like AutoDock-GPU or DOCK6 can be used with a defined binding site derived from experimental data
Pharmacophore modeling: Useful when multiple known inhibitors exist to identify common interaction features
Free energy perturbation calculations: Provides rigorous binding affinity predictions for potential inhibitors
Multi-scale modeling: Combining quantum mechanical calculations for the proton binding site with molecular mechanics for the larger protein structure
Markov state models: For understanding the conformational dynamics of the c-ring during rotation
Network analysis: To identify allosteric pathways that couple proton binding to conformational changes
| Approach | Strengths | Limitations | Best Applications |
|---|---|---|---|
| AlphaFold2 | High accuracy for single subunit | Limited for oligomeric assemblies | Initial monomer structure |
| MD Simulations | Captures dynamics in membrane | Computationally expensive | Refinement of structures |
| Molecular Docking | Rapid screening of compounds | Limited accuracy for membrane proteins | Initial inhibitor screening |
| FEP Calculations | Accurate binding energies | Very computationally intensive | Validation of lead compounds |
| Coevolutionary Analysis | Identifies functional contacts | Requires large sequence datasets | Interface prediction |
When applying these methods to AtpE, researchers should validate computational predictions against experimental data whenever possible, particularly for features like the c-ring stoichiometry and the locations of proton-binding sites, which are critical for function .
To elucidate the molecular mechanisms of the atpE enhancer sequence function, researchers should design a comprehensive experimental strategy combining multiple approaches:
RNA electrophoretic mobility shift assays (REMSA): Test binding of ribosomal components or other factors to the enhancer sequence
RNA pulldown with mass spectrometry: Identify proteins that specifically interact with the enhancer sequence
CRISPR interference screens: Target RNA-binding proteins to identify factors required for the enhancement effect
Ribosome profiling: Compare ribosome occupancy on mRNAs with and without the enhancer sequence
Chemical probing of RNA structure: Use SHAPE or DMS-MaPseq to determine if the enhancer affects local RNA structure
Cryo-EM of ribosome-mRNA complexes: Visualize how the enhancer sequence interacts with the translation machinery
Single-molecule FRET: Monitor real-time conformational changes during translation initiation
Purified translation system assays: Test the enhancement effect with defined components
Component omission/addition: Systematically remove or add translation factors to identify essential components
Kinetic measurements: Determine if the enhancer affects the rate of specific steps in translation initiation
Include appropriate positive controls (known enhancer sequences) and negative controls (scrambled sequences)
Perform experiments in multiple genetic backgrounds, including strains lacking specific translation factors
Design constructs that allow differentiation between effects on transcription, mRNA stability, and translation efficiency
Incorporate time-course measurements to capture the dynamics of the enhancement effect
The experimental design should test the hypothesis that the atpE enhancer sequence pattern (UUUUAACUGAAACAAA) acts as a specific recognition signal for components of the translation apparatus rather than merely affecting local mRNA secondary structure . Cross-validation between different experimental approaches will provide the most convincing evidence for the underlying mechanism.