KEGG: son:SO_4752
STRING: 211586.SO_4752
ATP synthase subunit c (atpE) is a critical component of the F0 portion of the F0F1 ATP synthase complex in S. oneidensis MR-1. This complex is involved in ATP production through oxidative phosphorylation. The c subunit forms the membrane-embedded proton channel that facilitates proton movement across the membrane, which drives the rotary mechanism of ATP synthesis.
Interestingly, studies have shown that inactivation of the F0F1 ATP synthase operon in S. oneidensis MR-1 resulted in only minor growth defects under certain anaerobic conditions, suggesting that substrate-level phosphorylation may play a more important role in ATP generation under these conditions . This distinguishes S. oneidensis from many other bacteria where ATP synthase is absolutely essential for growth.
Sequence conservation: While the core structure is conserved, sequence variations exist between S. oneidensis atpE and those of other bacteria, particularly those from different phyla.
Functional adaptations: S. oneidensis atpE may have adaptations that allow ATP synthase to function efficiently under the diverse respiratory conditions that characterize this organism, including metal reduction and electrode-based respiration .
Regulatory differences: The expression and regulation of atpE in S. oneidensis likely reflects its metabolic flexibility, particularly its ability to switch between aerobic and various anaerobic respiratory pathways.
Unlike Mycobacterial atpE that has been targeted by antibiotics such as bedaquiline , there is no evidence of similar targeting in S. oneidensis atpE, reflecting structural differences between these proteins.
Recombinant expression of S. oneidensis atpE typically follows these methodological steps:
Gene amplification: PCR amplification of the atpE coding sequence using specific primers designed for the S. oneidensis genome.
Cloning strategy: The amplified atpE gene can be cloned into expression vectors like pMV261 (as demonstrated for other atpE genes) or vectors specific for S. oneidensis work.
Expression system selection:
Purification approach: Histidine-tagged constructs allow for nickel affinity chromatography purification of the recombinant protein.
Validation methods: Western blotting, mass spectrometry, and functional assays to confirm identity and activity of the recombinant protein.
The transformation of S. oneidensis requires specialized protocols, typically using E. coli WM3064 as a donor strain for conjugation rather than direct transformation methods .
The function of atpE and the entire ATP synthase complex in S. oneidensis shows remarkable adaptability across different respiratory conditions:
Experimental approaches to study these changes typically involve:
Comparative proteomics under different respiratory conditions
ATP synthesis rate measurements
Membrane potential analysis
Isotope labeling to track proton flow through the F0 complex
Research has shown that S. oneidensis can survive through pyruvate fermentation when electron acceptors are unavailable, though this doesn't support growth. In such conditions, the ATP synthase likely shifts from synthesis to maintenance of proton gradients .
Structural modifications that impact proton conductance and ATP synthesis efficiency in recombinant atpE include:
Transmembrane domain mutations: Alterations in the critical residues of the transmembrane helices can significantly impact proton translocation. Key residues include:
Conserved acidic residues in the proton channel
Residues involved in subunit-subunit interactions
The essential carboxyl groups that participate in proton transfer
c-ring stoichiometry modifications: The number of c subunits in the ring affects the H⁺/ATP ratio and therefore the bioenergetic efficiency of the complex.
Interface modifications: Changes at the interface between c subunits and other components of the F0 complex (particularly subunit a) can alter rotational coupling.
Methodological approaches to study these modifications include:
Site-directed mutagenesis to introduce specific amino acid changes
Reconstitution of modified subunit c into proteoliposomes for proton conductance assays
Structural analysis using cryo-EM or X-ray crystallography
ATP synthesis assays using inverted membrane vesicles
Molecular dynamics simulations to predict functional impacts of mutations
Such studies could reveal unique adaptations in S. oneidensis atpE that contribute to its metabolic versatility across different respiratory conditions .
Genetic engineering of atpE can potentially enhance extracellular electron transfer (EET) in S. oneidensis through several approaches:
Proton motive force (PMF) optimization: Modifying atpE to alter ATP synthase efficiency could redistribute energy between growth and EET processes.
Integration with electron transfer pathways:
Coupling ATP synthase function more directly to the Mtr pathway
Engineering atpE to respond to electrode potentials in bioelectrochemical systems
Relationship with flavin pathways: Research has shown that synthetic flavin pathways can enhance bidirectional electron transfer in S. oneidensis . Engineered atpE variants could potentially be optimized to work synergistically with these pathways.
Metabolic engineering strategies:
Methodological approaches:
Genome editing using CRISPR-Cas9 systems adapted for S. oneidensis
Directed evolution of atpE under EET-selective conditions
Construction of chimeric ATP synthase complexes with components from other EET-capable organisms
Bioelectrochemical screening systems to quantify EET enhancement
Research has demonstrated that ATP production in S. oneidensis involves a complex interplay between substrate-level phosphorylation and oxidative phosphorylation, with the former sometimes dominating during anaerobic growth . This unique energy landscape provides opportunities for atpE engineering that may not exist in other bacterial systems.
Optimizing conditions for assessing atpE function in membrane preparations requires careful consideration of multiple factors:
Methodological protocol:
Cell cultivation: Grow S. oneidensis under defined respiratory conditions (aerobic, fumarate-reducing, or metal-reducing) .
Membrane isolation: Use French press or sonication followed by differential centrifugation.
Vesicle preparation: Prepare right-side-out vesicles for proton pumping assays or inverted vesicles for ATP synthesis assays.
Activity measurements:
ATP synthesis: Monitor ATP production using luciferase-based assays
Proton pumping: Use pH-sensitive fluorescent probes
Membrane potential: Employ potentiometric dyes like DiSC3(5)
Critical controls must include:
Inhibitor controls (e.g., DCCD to specifically inhibit F0 function)
Comparison between wild-type and atpE mutant preparations
Assessment of membrane integrity using appropriate markers
The unique respiratory versatility of S. oneidensis requires special attention to the electron transport chain components that interface with ATP synthase under different growth conditions .
Isotope labeling provides powerful approaches to track assembly and integration of recombinant atpE:
Pulse-chase labeling method:
Grow S. oneidensis in media containing ¹⁴N
Switch to ¹⁵N-containing media simultaneously with induction of recombinant atpE expression
Harvest cells at different time points
Isolate membrane fractions and purify ATP synthase complexes
Perform mass spectrometry to distinguish newly synthesized (¹⁵N-labeled) from pre-existing (¹⁴N) atpE
SILAC approach (Stable Isotope Labeling with Amino acids in Cell culture):
Incorporate heavy isotope-labeled amino acids specifically into the recombinant atpE
Track integration using quantitative proteomics
Calculate incorporation rates based on heavy/light peptide ratios
Time-resolved assembly tracking:
Use dual isotope labeling with different timing
Map the sequential incorporation of subunits into the ATP synthase complex
Determine if atpE integration is rate-limiting for complex assembly
Data analysis methods:
Mass spectrometry to quantify labeled:unlabeled peptide ratios
Blue native PAGE to separate intact complexes
Correlation of assembly rates with functional development of ATP synthesis activity
This approach can reveal whether atpE in S. oneidensis has unique assembly kinetics compared to other organisms, potentially reflecting adaptations to its diverse respiratory capabilities .
The relationship between electron acceptor availability and atpE expression/ATP synthase assembly can be studied through multiple complementary techniques:
Transcriptional analysis:
RT-qPCR targeting atpE and other ATP synthase genes
RNA-seq to capture global transcriptional changes
Promoter-reporter fusions (e.g., atpE promoter-GFP) to monitor expression in real-time
Protein level assessment:
Western blotting with antibodies specific to AtpE
Targeted proteomics (SRM/MRM) to quantify AtpE abundance
Pulse labeling with ³⁵S-methionine to measure synthesis rates
Complex assembly monitoring:
Blue native PAGE to visualize intact ATP synthase complexes
Crosslinking coupled with mass spectrometry
Fluorescence microscopy with tagged ATP synthase subunits
Functional measurements:
ATP synthesis rates in membrane vesicles
Proton pumping activity
Growth yield measurements (Y_ATP)
Experimental design should include:
Growth with various electron acceptors (O₂, fumarate, Fe(III), electrodes)
Controlled transition experiments between acceptor types
Comparison with mutants affecting electron transport pathways
S. oneidensis shows remarkable metabolic flexibility, with the proportion of ATP produced by substrate-level phosphorylation varying from 33% to 72.5% depending on the electron acceptor availability . This suggests that ATP synthase expression and assembly may be finely regulated in response to electron acceptor conditions.
Obtaining pure, functional recombinant atpE presents several challenges with corresponding solutions:
Membrane protein solubility:
Challenge: AtpE is highly hydrophobic with multiple transmembrane regions
Solutions:
Use specialized detergents (DDM, LDAO, or Fos-choline)
Express as fusion with solubility-enhancing tags (MBP, SUMO)
Consider cell-free expression systems with lipid nanodiscs
Proper folding:
Challenge: Maintaining native conformation outside the membrane environment
Solutions:
Co-express with chaperones (GroEL/GroES)
Use mild solubilization conditions
Reconstitute into proteoliposomes immediately after purification
Expression toxicity:
Functional validation:
Challenge: Confirming activity of isolated subunit c
Solutions:
Reconstitution with other ATP synthase subunits
Proton conductance assays in liposomes
Binding assays with known inhibitors
Yield optimization:
Challenge: Low expression levels common for membrane proteins
Solutions:
Codon optimization for expression host
Screen multiple constructs with varying tags/fusion partners
Optimize growth media and induction parameters
A particularly effective approach combines genetic techniques similar to those used for site-directed mutagenesis in Mycobacterial atpE with the specialized conjugation methods developed for S. oneidensis , adapted for membrane protein expression.
Optimizing cryo-electron microscopy (cryo-EM) for structural determination of S. oneidensis ATP synthase c-ring requires:
Sample preparation refinements:
Purification strategy:
Two-step affinity purification using His-tagged subunit β
Size exclusion chromatography to ensure complex integrity
Amphipol or nanodisc reconstitution to maintain native-like environment
Grid preparation:
Optimize protein concentration (typically 1-3 mg/ml)
Test multiple grid types (Quantifoil R1.2/1.3, UltrAuFoil)
Glow discharge conditions adjusted for membrane proteins
Data collection parameters:
Microscope settings:
300kV acceleration voltage
Energy filter (20eV slit)
K3 direct electron detector in counting mode
Dose fractionation (40-50 frames)
Total dose limitation (~40-50 e⁻/Ų)
Collection strategy:
Tilted data collection (30° and 40°) to overcome preferred orientation
Beam-tilt pair collection for improved 3D reconstruction
Image processing workflow:
Motion correction optimized for membrane proteins
CTF estimation with programs sensitive to astigmatism
Particle picking strategies that account for side views
3D classification focused on the c-ring
Local refinement of the c-ring region
Post-processing with optimized B-factor sharpening
Validation approaches:
Resolution assessment by gold-standard FSC
Model validation by independent refinement of half-datasets
Comparison with existing ATP synthase structures
This methodology leverages the experience with other bacterial ATP synthases while addressing the specific challenges of S. oneidensis, particularly the potential structural adaptations related to its unique energy metabolism under diverse respiratory conditions .
Studying interactions between atpE and the electron transport chain (ETC) components requires integrative approaches:
In vivo interaction mapping:
Proximity-based labeling:
BioID or TurboID fused to atpE to identify neighboring proteins
APEX2 tagging for spatial proteomics in the membrane
Crosslinking approaches:
Photo-activatable crosslinkers incorporated at specific positions
Chemical crosslinking followed by mass spectrometry (XL-MS)
In vivo formaldehyde crosslinking to capture physiological interactions
Functional coupling analysis:
Bioenergetic measurements:
Membrane potential determinations under different respiratory conditions
Relationship between proton motive force and ATP synthesis
Response to inhibitors targeting specific ETC components
Mutant phenotyping:
Construction of strains with mutations in both atpE and ETC components
Analysis of synthetic genetic interactions
Suppressor screens to identify functional relationships
Structural organization studies:
Super-resolution microscopy:
PALM/STORM imaging of tagged ATP synthase and ETC components
Quantification of co-localization patterns
Native membrane organization:
Atomic force microscopy of native membranes
Lipid raft association using detergent resistance
System-level approaches:
Flux balance analysis incorporating ATP synthase and ETC
Integrative modeling of the complete electron and proton transfer network
Multi-omics correlation of ATP synthase with ETC component expression
These approaches are particularly relevant for S. oneidensis given its remarkable respiratory versatility and the documented importance of both substrate-level phosphorylation and oxidative phosphorylation in its energy metabolism . The potential connection between ATP synthase function and extracellular electron transfer pathways represents a unique aspect of S. oneidensis physiology that distinguishes it from many other model organisms .
When faced with conflicting data regarding atpE essentiality across different growth conditions, researchers should apply these interpretative frameworks:
Methodological reconciliation:
Examine differences in gene inactivation approaches:
Complete deletion vs. point mutations
Polar effects on other ATP synthase subunits
Compensation time allowed before phenotyping
Growth condition standardization:
Functional redundancy analysis:
Assessment of substrate-level phosphorylation capacity:
Proton motive force (PMF) utilization:
Alternative PMF consumers in S. oneidensis
PMF requirements under different respiratory modes
Adaptive response characterization:
Temporal dimension:
Short-term vs. long-term essentiality (compensatory mutations)
Growth phase-dependent requirements
Compensatory pathways:
Upregulation of substrate-level phosphorylation
Altered expression of electron transport chain components
Metabolic rewiring to reduce ATP demand
Data integration framework:
Construct a condition-dependent essentiality matrix
Apply statistical approaches to weight contradictory findings
Develop testable hypotheses to resolve discrepancies
Research has demonstrated that S. oneidensis shows unusual flexibility in ATP generation, with substrate-level phosphorylation contributing significantly to growth under anaerobic conditions, while ATP synthase inactivation shows only minor growth defects in some conditions . This suggests a context-dependent essentiality model where atpE importance varies across S. oneidensis' diverse metabolic modes.
Appropriate statistical approaches for analyzing atpE mutation effects include:
For ATP synthesis rate analysis:
Enzyme kinetics modeling:
Michaelis-Menten parameters (Vmax, Km) comparison between wild-type and mutants
Inhibitor kinetics (Ki determination) for structure-function studies
Time-series analysis:
Repeated measures ANOVA for temporal profiles
Area under the curve (AUC) comparisons
Rate constant derivation and comparison
Multiple condition testing:
Two-way ANOVA with mutation and condition as factors
Post-hoc tests with appropriate correction for multiple comparisons
Interaction effect quantification between mutations and conditions
For growth phenotype analysis:
Growth curve parameter extraction:
Nonlinear regression to extract lag phase, growth rate, and carrying capacity
Bootstrapping for parameter confidence intervals
Principal component analysis for multidimensional phenotype comparison
Condition-dependent fitness calculation:
For integrating ATP synthesis and growth data:
Correlation analysis:
Spearman's rank correlation for non-parametric relationships
Partial correlation controlling for confounding variables
Mixed effects models accounting for batch variation
Predictive modeling:
Multiple regression models to predict growth from ATP synthesis parameters
Machine learning approaches for complex phenotype prediction
Flux balance analysis incorporating ATP synthesis constraints
For handling biological variability:
Robust statistical approaches:
Median-based methods less sensitive to outliers
Bootstrapping for parameter uncertainty estimation
Bayesian frameworks incorporating prior knowledge
Differentiating direct effects from indirect adaptations requires multi-level analysis:
Temporal resolution approaches:
Immediate response characterization:
Rapid sampling after induction of atpE expression/mutation
Real-time monitoring using biosensors (ATP, pH, membrane potential)
Metabolic quenching techniques to capture instantaneous metabolic state
Adaptive response tracking:
Time-series omics (transcriptomics, proteomics, metabolomics)
Rate-of-change analysis to identify primary vs. secondary responses
Clustering of temporal patterns to separate immediate from adaptive effects
Genetic dissection strategies:
Epistasis analysis:
Combined mutations in atpE and potential adaptation pathways
Genetic background simplification by removing known adaptation mechanisms
Suppressor mutation identification and characterization
Controlled expression systems:
Titrated expression levels of wild-type vs. modified atpE
Orthogonal inducible systems for controlled timing
Complementation assays with variant atpE forms
Bioenergetic isolation techniques:
Direct parameter measurement:
Proton pumping assays in isolated vesicles
ATP synthesis measurement in controlled systems
Membrane potential quantification with specific probes
In situ activity determination:
Single-cell analysis of membrane potential
Subcellular ATP imaging
Microfluidic techniques for rapid environmental shifts
Metabolic flux discrimination:
¹³C metabolic flux analysis:
Isotope tracing to map redirected carbon flows
Metabolic network modeling to quantify flux changes
Distinction between altered ATP production vs. consumption
Comparative fluxomics:
Integration with constraint-based models
Identification of altered metabolic node activities
Energy charge homoeostasis mechanisms
This comprehensive approach can disentangle the complex interplay between ATP synthase function and metabolic adaptation in S. oneidensis, particularly important given its metabolic flexibility and unique energy conservation strategies across different respiratory conditions .
The most promising applications of engineered atpE variants in bioelectrochemical systems include:
Enhanced bioelectricity production:
ATP synthase variants optimized for:
Improved coupling between electron transport chain and ATP synthesis
Reduced proton leakage to maximize energy capture efficiency
Altered c-ring stoichiometry to optimize H⁺/ATP ratio for electrode-based respiration
Potential outcomes:
Higher current densities in microbial fuel cells
Improved stability of bioelectrochemical performance
Lower internal resistance in bioelectrochemical systems
Bidirectional electron transfer optimization:
Engineering atpE to support:
Applications:
Microbial electrosynthesis of value-added compounds
Bioelectrochemical CO₂ reduction systems
Bioelectrochemical remediation technologies
Bioelectrochemical sensing platforms:
atpE variants engineered for:
Specific response to target analytes through altered proton translocation
Coupling ATP synthesis to biosensor output signals
Integration with S. oneidensis electron transfer pathways
Implementation in:
Environmental monitoring systems
Metabolite detection platforms
Real-time bioprocess monitoring
Bio-hybrid energy systems:
ATP synthase engineering for:
Light-driven proton pumping integration
Temperature-responsive activity profiles
Interface with artificial photosynthetic systems
Research demonstrates S. oneidensis can be metabolically engineered for producing compounds like glutamate and itaconic acid , suggesting that atpE engineering could create specialized strains that efficiently couple bioelectrochemical energy capture with valuable chemical production.
Comparative analysis of atpE across Shewanella species could reveal:
Evolutionary adaptations in energy conservation:
Sequence and structural variations correlating with:
Respiratory diversity (number and types of electron acceptors utilized)
Ecological niche (marine vs. freshwater, free-living vs. biofilm-associated)
Environmental pressure adaptations (psychrophilic, piezophilic species)
Functional implications:
Species-specific c-ring stoichiometry
Proton binding site variations
Interface adaptations with other ATP synthase subunits
Respiratory flexibility mechanisms:
Correlation between atpE characteristics and:
Metal reduction capabilities across species
Extracellular electron transfer efficiency
Survival under electron acceptor limitation
Detailed comparison between:
Environmental adaptation signatures:
Biotechnological application potential:
Identification of naturally optimized variants for:
Extreme condition bioenergy applications
Specialized bioelectrochemical functions
Enhanced survival in engineered systems
This comparative approach could reveal how ATP synthase has evolved within the Shewanella genus to support their remarkable respiratory diversity, including some species' ability to survive extreme pressures (>1.5 GPa) , providing insights impossible to gain from studying S. oneidensis alone.
Optimizing CRISPR-Cas9 for precise atpE modifications requires specialized approaches:
Delivery system refinement:
Vector optimization:
Alternative delivery methods:
Guide RNA design considerations:
S. oneidensis-specific parameters:
GC content optimization for the AT-rich genome
PAM site accessibility in the membrane protein-encoding atpE
Off-target analysis against the S. oneidensis genome
Multiplex editing strategies:
Simultaneous targeting of multiple ATP synthase subunits
Combined modifications of atpE and electron transport components
Orthogonal guide RNA systems for complex engineering
Repair template optimization:
Homology-directed repair enhancement:
Optimal homology arm length determination (typically 500-1000 bp)
Strand bias investigation for template design
Strategic selection of silent mutations to prevent re-cutting
Selection marker strategies:
Transient selection systems to avoid stable marker integration
Counter-selection approaches for marker removal
Scarless editing techniques adaptation
Screening and validation pipeline:
High-throughput phenotyping:
Growth-based screens under various respiratory conditions
ATP synthesis activity assays
Membrane potential measurement in candidate clones
Molecular verification:
Optimized PCR-based screening strategies
Sequencing approaches for confirming precise edits
Expression verification of modified atpE
These approaches build upon the genetic manipulation methods demonstrated for S. oneidensis while addressing the specific challenges of modifying the essential membrane protein-encoding atpE gene within the ATP synthase operon.