KEGG: raf:RAF_ORF0024
ATP synthase subunit c (atpE) in Rickettsia africae is a critical component of the F0F1 ATP synthase complex. This protein functions as part of the membrane-embedded F0 sector, forming the c-ring structure that facilitates proton translocation across the membrane. The c-ring rotation couples the proton motive force to ATP synthesis in the F1 sector.
In obligate intracellular pathogens like Rickettsia africae, the ATP synthase complex is particularly important because these organisms have limited metabolic capabilities and rely heavily on oxidative phosphorylation for energy production. The atpE protein contains hydrophobic regions that anchor it within the membrane and a conserved carboxylate residue essential for proton binding and translocation .
Despite lacking a complete glycolytic pathway, Rickettsia africae maintains a functional tricarboxylic acid (TCA) cycle and oxidative phosphorylation system in which atpE plays a crucial role. Experimental protocols to study this function typically involve:
Comparative metabolic flux analysis using isotope-labeled glutamate and measuring ATP production rates
Membrane potential measurements using fluorescent probes like JC-1 or TMRM
Oxygen consumption rate (OCR) measurements in infected cells versus controls
Rickettsia utilizes host-acquired glutamate as a primary energy source, which feeds into the TCA cycle. The resulting NADH and FADH2 fuel the electron transport chain, generating a proton gradient across the membrane that drives ATP synthesis via the F0F1 ATP synthase complex containing atpE . This process is essential for bacterial survival, as Rickettsia also possesses an ATP/ADP symporter (Tlc1) that exchanges host ATP for bacterial ADP, indicating the critical importance of energy metabolism for this pathogen .
When expressing recombinant Rickettsia africae atpE protein, researchers should consider these methodological approaches based on the protein's hydrophobic nature:
E. coli expression systems:
BL21(DE3) strains with pET vectors incorporating a C-terminal His-tag
Codon optimization for E. coli is essential due to GC content differences (32.4% in R. africae vs. ~50% in E. coli)
Induction at lower temperatures (16-20°C) to minimize inclusion body formation
Addition of membrane-stabilizing agents (e.g., 5% glycerol) to the culture medium
Cell-free expression systems:
Particularly useful for membrane proteins like atpE
Incorporation of detergents or nanodiscs to stabilize the hydrophobic regions
Baculovirus expression systems:
Preferred for maintaining proper folding of membrane proteins
Higher yield of functional protein compared to bacterial systems
When purifying the expressed protein, a two-step purification protocol involving immobilized metal affinity chromatography followed by size exclusion chromatography in buffers containing appropriate detergents (e.g., n-dodecyl-β-D-maltoside) has proven most effective for maintaining protein stability and function .
Investigating rickettsia-host energetic interactions requires sophisticated experimental approaches using recombinant atpE:
Reconstitution experiments:
Purified recombinant atpE can be reconstituted into liposomes with other ATP synthase components
Proton pumping can be measured using pH-sensitive fluorescent dyes
ATP synthesis rates can be quantified under varying conditions
Protein-protein interaction studies:
Use recombinant atpE as bait in pull-down assays to identify host factors that may interact with the ATP synthase complex
Employ chemical crosslinking followed by mass spectrometry to map interaction interfaces
Validate interactions using surface plasmon resonance or microscale thermophoresis
Metabolic flux analysis:
Compare energy metabolism in cells infected with wild-type Rickettsia versus atpE mutants
Use 13C-labeled substrates to track metabolic pathways
The biological significance of these investigations lies in understanding how Rickettsia africae, which lacks glycolysis, can efficiently harvest energy from the host. Studies have demonstrated that Rickettsia oxidizes glutamate to drive electron transport coupled to oxidative phosphorylation, with the generated ATP facilitating import of other essential nutrients like proline and lysine . This metabolic dependency represents a potential therapeutic target.
Analyzing atpE-DtxR interactions requires multiple complementary approaches:
Binding assays methodology:
Express both proteins with different tags (His and GST)
Perform reciprocal co-immunoprecipitation experiments
Use isothermal titration calorimetry to determine binding kinetics
Employ fluorescence resonance energy transfer (FRET) to visualize interactions in vitro
Structural analysis workflow:
Generate protein-protein docking models based on known structures
Verify interaction sites through site-directed mutagenesis
Attempt co-crystallization for X-ray crystallography
Use cryo-electron microscopy for structural determination of the complex
Functional validation:
Develop Rickettsia strains with mutations in the predicted interaction sites
Assess changes in proton translocation efficiency
Measure ATP production in the presence of wild-type vs. mutant proteins
This interaction is particularly significant because DtxR proteins typically function as metal-dependent transcriptional regulators, and their potential interaction with ATP synthase components suggests a novel regulatory mechanism linking metal homeostasis with energy production in these specialized intracellular pathogens .
The conformational dynamics of atpE during ATP synthesis can be characterized using:
Single-molecule FRET:
Introduce fluorescent labels at specific sites in recombinant atpE
Monitor distance changes between labels during proton translocation
Develop a workflow using total internal reflection fluorescence microscopy
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Compare hydrogen-deuterium exchange rates in different catalytic states
Identify regions with altered solvent accessibility
Quantify the timing of conformational changes
Electron paramagnetic resonance (EPR) spectroscopy:
Introduce spin labels at strategic positions in atpE
Measure distances between labels in different functional states
Correlate structural changes with functional parameters
Molecular dynamics simulations:
Build atomic models of atpE within the c-ring
Simulate proton binding and release events
Predict energy barriers and rate-limiting steps
These techniques have revealed that the c-ring rotation in ATP synthase occurs in discrete steps, with each step corresponding to proton binding/release events. In Rickettsia africae, which relies heavily on oxidative phosphorylation for energy production, understanding these conformational dynamics is crucial for identifying potential species-specific inhibitors that could serve as novel antimicrobials .
To investigate atpE's role in doxycycline resistance in Rickettsia africae, implement this systematic research approach:
Mutational analysis protocol:
Generate site-directed mutations in recombinant atpE at residues predicted to interact with doxycycline
Express and purify mutant proteins
Compare binding affinities using isothermal titration calorimetry
Develop a structural model of the interaction
Functional assays:
Reconstitute wild-type and mutant atpE proteins into liposomes
Measure proton translocation in the presence of varying doxycycline concentrations
Quantify ATP synthesis rates under similar conditions
In vivo validation:
Generate Rickettsia strains with the identified mutations
Determine minimum inhibitory concentrations of doxycycline
Assess fitness costs of resistance mutations
Monitor growth kinetics in the presence of subinhibitory antibiotic concentrations
This research is particularly important because doxycycline remains a first-line treatment for rickettsioses, and understanding resistance mechanisms is crucial. Recent studies suggest that mutations in ATP synthase components might contribute to reduced doxycycline susceptibility by altering membrane potential or drug efflux capabilities .
Investigating ATP synthase assembly requires a comprehensive experimental design:
Sequential reconstitution methodology:
Express and purify all ATP synthase components individually
Add components in different orders to determine the assembly pathway
Monitor complex formation using native gel electrophoresis
Verify functionality at each step by measuring ATP synthesis or hydrolysis
Interaction mapping protocol:
Perform crosslinking mass spectrometry to identify contact sites between subunits
Generate subcomplex structures using cryo-electron microscopy
Develop an assembly map with defined intermediate states
In vivo fluorescence approaches:
Create fluorescent protein fusions to track assembly in living cells
Use fluorescence recovery after photobleaching (FRAP) to measure assembly kinetics
Implement super-resolution microscopy to visualize subcellular localization
Data analysis and integration:
Assembly Stage | Components | Detection Method | Rate-Limiting Step | Validation Approach |
---|---|---|---|---|
c-ring formation | atpE monomers | Native PAGE, EM | Oligomerization | Crosslinking, FRET |
F0 assembly | c-ring + a, b subunits | Blue native PAGE | a-subunit incorporation | Protease protection |
F0F1 complex | F0 + F1 sectors | ATP synthesis assay | F1 docking to F0 | Inhibitor studies |
This research is particularly relevant for Rickettsia because, as an obligate intracellular pathogen with limited metabolic capabilities, proper assembly of the ATP synthase complex is essential for survival and pathogenesis .
Purifying active atpE presents several technical challenges with specific methodological solutions:
Challenge: Membrane protein solubility
Solution: Implement a systematic detergent screening approach:
Test a panel of 8-12 detergents (ionic, non-ionic, and zwitterionic)
Optimize detergent concentration through small-scale extractions
Consider styrene maleic acid lipid particles (SMALPs) as an alternative to detergents
Use fluorescence-detection size exclusion chromatography to assess protein stability
Challenge: Low expression yields
Solution: Optimize expression conditions through:
Fusion to solubility-enhancing tags (MBP, SUMO)
Reduced induction temperature (16-20°C)
Co-expression with chaperones (GroEL/GroES)
Use of specialized E. coli strains (C41/C43) designed for membrane protein expression
Challenge: Maintaining native conformation
Solution: Develop stabilization strategies:
Include lipids during purification (E. coli polar lipids or synthetic mixtures)
Add specific substrates or inhibitors during purification
Implement on-column refolding protocols if necessary
Challenge: Functional verification
Solution: Establish activity assays:
Reconstitution into proteoliposomes for proton translocation measurements
Incorporation into nanodiscs for structural studies
Circular dichroism to verify secondary structure content
When purified correctly, recombinant atpE should maintain its alpha-helical structure (typically >70% alpha-helical) and demonstrate the ability to oligomerize into ring-like structures when viewed by negative-stain electron microscopy .
For characterizing atpE-lipid interactions, implement these analytical approaches:
Lipid binding assays:
Develop a liposome flotation assay protocol using sucrose gradients
Perform isothermal titration calorimetry with different lipid compositions
Use microscale thermophoresis to measure binding affinities
Implement monolayer surface pressure measurements
Structural techniques:
Perform hydrogen-deuterium exchange mass spectrometry to identify lipid-protected regions
Use solid-state NMR to determine specific lipid-protein contacts
Employ electron paramagnetic resonance with spin-labeled lipids to measure distances
Functional correlation:
Reconstitute atpE into liposomes of varying lipid composition
Measure proton conductance as a function of lipid environment
Determine how lipid composition affects c-ring assembly and stability
This research is particularly relevant because Rickettsia africae, as an obligate intracellular pathogen, must adapt to the specific lipid environment of its host cell. Studies have shown that the lipid composition surrounding ATP synthase can significantly impact its rotational dynamics and energy coupling efficiency . Additionally, because atpE is also known as "lipid-binding protein," understanding these interactions may reveal novel aspects of Rickettsia biology .
Effective interpretation of CD spectroscopy data for atpE requires:
Experimental design considerations:
Collect spectra at multiple protein concentrations (0.1-1 mg/mL)
Use quartz cuvettes with 0.1-1 mm path lengths
Perform measurements in multiple buffer conditions (varying pH, salt concentrations)
Include appropriate blanks and controls
Data processing workflow:
Subtract buffer baseline
Convert raw ellipticity to mean residue ellipticity
Apply smoothing algorithms if necessary (Savitzky-Golay)
Perform spectrum deconvolution using reference datasets
Interpretation framework:
Secondary Structure | Spectral Features | Expected % in atpE | Significance of Deviation |
---|---|---|---|
α-helix | Negative bands at 208 and 222 nm | 70-80% | Potential misfolding or aggregation |
β-sheet | Negative band at 218 nm | 5-10% | Possible domain unfolding |
Random coil | Negative band below 200 nm | 10-15% | Denaturation or flexibility |
Thermal stability analysis:
Collect CD spectra at 5°C increments from 20-90°C
Plot ellipticity at 222 nm versus temperature
Calculate melting temperature (Tm) using sigmoid fitting
Compare Tm values across different conditions
Properly folded atpE should show predominantly α-helical content (70-80%), consistent with its role as a membrane-spanning subunit that forms the c-ring structure. Significant deviations from this pattern may indicate problems with protein folding or stability that could affect functional studies .
To effectively analyze post-translational modifications (PTMs) of atpE, implement this comprehensive proteomics workflow:
Sample preparation protocol:
Perform parallel enrichment strategies (immunoprecipitation, phosphopeptide enrichment)
Digest using multiple proteases (trypsin, chymotrypsin, AspN) to ensure complete coverage
Include both top-down (intact protein) and bottom-up (peptide) approaches
Incorporate stable isotope labeling for quantitative analysis
Mass spectrometry strategy:
Use high-resolution MS/MS (Orbitrap or QTOF)
Implement electron transfer dissociation (ETD) for labile modifications
Perform parallel reaction monitoring for targeted analysis of suspected modification sites
Develop inclusion lists for low-abundance modified peptides
Data analysis pipeline:
Search against multiple databases using multiple search engines
Implement appropriate false discovery rate controls
Validate PTM identifications using synthetic peptide standards
Develop site localization scoring
Biological validation:
Generate site-specific antibodies against identified PTMs
Create site-directed mutants (modification-mimicking and non-modifiable)
Assess functional consequences through activity assays
This research is particularly important because PTMs may regulate ATP synthase activity in response to changing host conditions. In Rickettsia, which has a limited metabolic repertoire, such regulation could be crucial for survival during different phases of infection .
To systematically compare atpE across bacterial pathogens, implement these comparative approaches:
Sequence analysis methodology:
Perform multiple sequence alignment of atpE from diverse bacterial species
Calculate conservation scores for each position
Identify Rickettsia-specific sequence motifs
Map conservation onto structural models
Structural comparison workflow:
Generate homology models based on available structures
Perform molecular dynamics simulations to identify flexible regions
Calculate electrostatic surface potentials
Analyze c-ring stoichiometry differences
Functional comparison:
Measure proton/ATP ratios across species
Compare inhibitor sensitivity profiles
Assess pH dependence of activity
Evaluate thermal stability differences
Evolutionary analysis:
Bacterial Group | c-ring Size | Key Adaptations | Functional Implications | Research Applications |
---|---|---|---|---|
Rickettsia | 10-12 subunits | Adaptation to host environment | Efficiency at low energy | Drug target specificity |
E. coli | 10 subunits | Broader metabolic capacity | Versatility | Comparative benchmarking |
Mycobacteria | 9 subunits | Higher coupling ratio | Energy conservation | Alternative drug targets |
Mitochondria | 8 subunits | Highly regulated | Integration with host | Evolutionary studies |
This comparative approach reveals that Rickettsia africae atpE, as part of an obligate intracellular pathogen, has evolved specific adaptations for functioning within the host cell environment. These include sequence modifications that may affect proton affinity, regulatory sites that respond to host conditions, and structural features that optimize function under the unique metabolic constraints of obligate intracellular life .
To investigate evolutionary conservation of atpE and its relationship to pathogenicity, implement this research strategy:
Phylogenetic analysis framework:
Collect atpE sequences from all available Rickettsia genomes
Construct maximum likelihood phylogenetic trees
Calculate selection pressures (dN/dS ratios) across the sequence
Identify sites under positive or purifying selection
Structure-function correlation:
Map variable regions onto structural models
Express recombinant atpE from multiple Rickettsia species
Compare biochemical properties (stability, activity)
Perform domain swapping experiments between species
Host adaptation analysis:
Compare atpE sequences from Rickettsia with different host ranges
Identify correlation between sequence features and host specificity
Develop statistical models to predict host adaptation
Pathogenicity correlation:
Group Rickettsia species by pathogenicity level (high, moderate, low)
Identify atpE sequence features that correlate with virulence
Validate through site-directed mutagenesis
Test hypotheses in cell culture infection models
Emerging technologies with high potential for atpE research include:
Cryo-electron tomography:
Visualize ATP synthase in situ within Rickettsia cells
Determine native arrangement and interactions
Develop sample preparation protocols for bacterial cells
Implement subtomogram averaging to enhance resolution
Single-molecule techniques:
Apply magnetic tweezers to measure c-ring rotation
Develop fluorescence-based sensors for proton translocation
Implement high-speed atomic force microscopy to observe conformational changes
Correlate structural dynamics with functional states
Gene editing approaches:
Apply CRISPR interference for conditional knockdown
Develop site-specific integration systems for Rickettsia
Create reporter fusions to monitor expression in real-time
Engineer conditional expression systems
Computational methods:
Implement multiscale modeling combining quantum mechanics and molecular dynamics
Apply machine learning to predict structure-function relationships
Develop systems biology models integrating metabolic networks
Simulate proton translocation at atomistic resolution
Researchers should prioritize methodologies that bridge structural and functional information, particularly those that can be applied to living bacteria rather than isolated proteins. The combination of in situ structural biology with functional measurements represents the most promising approach for understanding how atpE contributes to Rickettsia survival and pathogenesis in the complex host environment .
To investigate atpE as a drug target, implement this comprehensive drug discovery workflow:
Target validation strategy:
Demonstrate essentiality through gene silencing approaches
Perform competitive inhibition studies with known ATP synthase inhibitors
Develop cell-based assays measuring bacterial ATP production
Create conditional mutants to define the target validation window
Structure-based drug design methodology:
Generate high-resolution structures of Rickettsia atpE
Identify druggable pockets through computational analysis
Perform virtual screening of compound libraries
Validate hits through binding and functional assays
Fragment-based drug discovery approach:
Screen fragment libraries using thermal shift assays
Establish structure-activity relationships
Implement fragment growing and linking strategies
Optimize lead compounds for specificity
Lead optimization workflow:
Property | Assay Methodology | Success Criteria | Potential Challenges |
---|---|---|---|
Binding affinity | Isothermal titration calorimetry | Kd < 100 nM | Membrane protein stability |
Selectivity | Counter-screening against human ATP synthase | >100x selectivity | Conserved active site |
Cell penetration | Intracellular accumulation assays | >10x extracellular concentration | Penetrating bacterial membranes |
In vitro efficacy | Infected cell models | EC50 < 1 μM | Host cell toxicity |