KEGG: efe:EFER_3310
Elongation Factor G (EF-G), encoded by the fusA gene, is a critical protein involved in the translational elongation process during protein synthesis. EF-G functions primarily in the translocation step, where it facilitates the movement of tRNAs and mRNA through the ribosome after peptide bond formation. This process requires GTP hydrolysis, with EF-G acting as a GTPase.
Specifically, EF-G:
Binds to the ribosome in its GTP-bound state
Catalyzes the translocation of the peptidyl-tRNA from the A-site to the P-site
Facilitates the movement of the mRNA by one codon
Undergoes conformational changes upon GTP hydrolysis
Dissociates from the ribosome in its GDP-bound form
In E. fergusonii, as in other bacteria, EF-G is essential for cell viability and proper protein synthesis. Research has shown that EF-G is also involved in ribosome recycling, working with the ribosome recycling factor (RRF) to disassemble the post-termination complex .
The fusA gene in E. fergusonii is highly conserved and has been used in molecular identification and diagnostic applications due to its ubiquity and sequence conservation across bacterial species .
While a high-resolution crystal structure specific to E. fergusonii EF-G has not been widely reported, structural features can be inferred from homologous EF-Gs such as that from S. aureus, crystallized to 1.9 Å resolution .
Key structural features include:
Domain organization:
Domain I (G domain): Contains the GTPase activity center with conserved switch regions
Domain II: Contributes to GTPase function and ribosome interaction
Domains III-V: Involved in interactions with the ribosome during translocation
Domain IV: Contains a critical region that mimics the anticodon stem-loop of tRNA and inserts into the decoding center
Conformational flexibility:
EF-G undergoes dramatic conformational changes between free and ribosome-bound states
In S. aureus EF-G, domains III-V move relative to domains I-II, resulting in a displacement of the tip of domain IV relative to domain G by about 25 Å perpendicular to that observed in previous structures
This flexibility is likely conserved in E. fergusonii EF-G and is essential for its function
Switch regions:
The switch I region (residues 46-56) in S. aureus EF-G is ordered in a helix and has a distinct conformation compared to EF-Tu in GDP and GTP states
The switch II region shows conformations incompatible with fusidic acid binding when EF-G is not bound to the ribosome
Comparing across Escherichia species reveals:
High sequence conservation in domains I and II (containing the GTPase activity)
Greater variability in domains III, IV, and V
Species-specific surface epitopes that could be targeted for diagnostic purposes
For successful expression of recombinant E. fergusonii EF-G, the following systems and conditions have proven most effective:
Prokaryotic expression systems:
E. coli BL21(DE3) and derivatives: Most commonly used for bacterial protein expression due to high yield and simplicity
E. coli strains with rare codon supplementation: Rosetta or CodonPlus strains if E. fergusonii fusA contains rare codons
Vector selection: T7 promoter-based vectors (pET series) provide high-level, inducible expression
Expression optimization parameters:
| Parameter | Recommended Conditions | Notes |
|---|---|---|
| Temperature | 15-25°C | Lower temperatures increase solubility of large multi-domain proteins like EF-G |
| IPTG concentration | 0.1-0.5 mM | Lower concentrations often yield more soluble protein |
| Growth media | TB or 2xYT | Rich media increase yield compared to standard LB |
| Induction time | 16-18 hours | Extended induction at lower temperatures improves folding |
| OD600 at induction | 0.6-0.8 | Mid-log phase typically optimal for induction |
Fusion tags for improved expression:
His6-tag: Most common for initial purification via IMAC
GST-tag: Can enhance solubility but adds substantial size
SUMO or MBP tags: Often improve folding and solubility of difficult proteins
Protocol optimization strategy:
Clone the E. fergusonii fusA gene into multiple expression vectors with different tags
Perform small-scale expression trials varying temperature, IPTG concentration, and induction time
Analyze soluble vs. insoluble fractions by SDS-PAGE
Scale up using optimized conditions
If expression levels remain poor, consider codon optimization of the fusA sequence
A multi-step purification strategy is recommended for obtaining high-purity, active E. fergusonii EF-G:
Standard purification workflow:
Affinity chromatography:
IMAC using Ni-NTA for His-tagged EF-G
Gradual imidazole gradient (20-250 mM) to minimize co-purification of contaminants
Buffer: 50 mM Tris-HCl pH 7.5, 300 mM NaCl, 5% glycerol, 5 mM β-mercaptoethanol
Tag removal (optional):
Protease cleavage (TEV, PreScission, or SUMO protease depending on tag)
Reverse IMAC to remove cleaved tag and uncleaved protein
Ion exchange chromatography:
Anion exchange (Q Sepharose) at pH 7.5-8.0
Salt gradient elution (50-500 mM NaCl)
Removes nucleic acid contaminants and similarly charged proteins
Size exclusion chromatography:
Superdex 200 column for final polishing
Buffer: 20 mM HEPES pH 7.5, 100 mM KCl, 10 mM MgCl2, 5% glycerol, 2 mM DTT
Ensures homogeneity and removes aggregates
Critical considerations:
Maintain reducing conditions throughout purification as EF-G is sensitive to oxidation
Include 10-50 μM GDP in buffers to stabilize protein structure
Keep samples cold (4°C) during all purification steps
Consider adding protease inhibitors to initial lysis buffer
Quality control metrics:
| Assessment Method | Acceptance Criteria | Purpose |
|---|---|---|
| SDS-PAGE | >95% purity | Verify protein integrity and purity |
| Western blot | Single band at expected MW | Confirm identity |
| Mass spectrometry | Match to theoretical mass | Verify integrity and modifications |
| Dynamic light scattering | Single peak, PDI <0.2 | Assess homogeneity |
| GTPase activity | Consistent with reference standards | Confirm functionality |
| CD spectroscopy | Proper secondary structure | Verify folding |
Storage conditions:
Flash freeze in liquid nitrogen in small aliquots
Store at -80°C in buffer containing 20% glycerol
Avoid repeated freeze-thaw cycles
Several complementary assays can be used to comprehensively evaluate recombinant E. fergusonii EF-G activity:
1. GTPase Activity Assays:
Malachite Green Phosphate Assay:
Measures free phosphate released during GTP hydrolysis
Standard reaction conditions: 50 mM Tris-HCl pH 7.5, 10 mM MgCl2, 100 mM KCl, 0.5 μM EF-G, 100 μM GTP
Can be performed with and without ribosomes to determine intrinsic vs. ribosome-stimulated activity
Calculation of kinetic parameters (kcat, KM) provides quantitative assessment of enzyme efficiency
Coupled Enzyme Assay:
Uses pyruvate kinase and lactate dehydrogenase to couple GTP hydrolysis to NADH oxidation
Continuous monitoring at 340 nm allows real-time activity measurement
Particularly useful for kinetic studies
2. Translocation Assays:
tRNA Movement Assay:
Dual-labeled tRNAs with fluorescent probes
FRET changes indicate translocation events
Can measure rate of translocation directly
mRNA Toeprinting:
Primer extension inhibition to measure ribosome position on mRNA
Quantitative assessment of translocation efficiency
Detects partial as well as complete translocation events
3. Ribosome Binding Assays:
Co-sedimentation Assay:
Mix EF-G with ribosomes and ultracentrifuge through sucrose cushion
Quantify bound EF-G by SDS-PAGE and densitometry
Can be performed with GTP, GDP, or non-hydrolyzable analogs
Surface Plasmon Resonance:
Real-time binding kinetics (kon, koff)
Determine binding affinity (KD)
Analyze effects of nucleotides and antibiotics on binding
4. In Vitro Translation:
Poly(U)-directed Poly(Phe) Synthesis:
Coupled Transcription-Translation:
Expression of reporter proteins (GFP, luciferase)
Quantitative measurement of complete protein synthesis
Can be inhibited with fusidic acid to confirm EF-G-specific effects
Comparative Activity Analysis:
Oxidative stress significantly impacts EF-G function, representing an important regulatory mechanism and potential antimicrobial target. Research with E. coli has demonstrated that EF-G is particularly susceptible to oxidation , and similar mechanisms likely apply to E. fergusonii EF-G.
Molecular mechanisms of oxidation:
Disulfide bond formation: Mass spectrometry analysis of oxidized E. coli EF-G revealed the formation of an intramolecular disulfide bond between Cys114 and Cys266
Structural implications: These cysteine residues are located in domains I and II, respectively, affecting the conformational dynamics essential for EF-G function
Oxidant sensitivity: In vitro experiments show that as little as 0.5 mM H2O2 can induce significant oxidation and inactivation of EF-G
Functional consequences of oxidation:
Experimental approaches to study oxidative effects:
Site-directed mutagenesis:
Create Cys→Ser or Cys→Ala variants
Measure resistance to oxidative inactivation
Identify specific residues responsible for redox sensitivity
Differential oxidation analysis:
Expose protein to varied oxidizing conditions
Use mass spectrometry to identify modification sites
Correlate modifications with activity changes
Structural analysis:
Crystallography or cryo-EM of oxidized vs. reduced forms
Map conformational changes induced by oxidation
Identify potential allosteric effects
Comparative redox proteomics:
Compare oxidation susceptibility across bacterial species
Identify species-specific differences in redox regulation
Correlate with environmental adaptation
Physiological relevance:
Oxidation of EF-G serves as a rapid mechanism to downregulate translation during oxidative stress
This conserves energy and prevents potentially error-prone protein synthesis
May contribute to bacterial persistence under antibiotic or immune attack
This redox sensitivity of EF-G represents both a bacterial survival mechanism and a potential target for antimicrobial development, particularly in combination with oxidative stress-inducing agents.
The binding dynamics between EF-G and the ribosome involve multiple conformational changes driving translocation. While specific data for E. fergusonii is limited, comparative analysis with well-studied systems provides valuable insights:
Key stages in EF-G-ribosome interaction:
Initial binding:
GTP-bound EF-G binds to pre-translocation (PRE) ribosome
Primary contacts through domains I, II, and V
Stabilizes rotated ribosomal state with hybrid tRNAs
GTP hydrolysis and conformational changes:
Translocation:
Movement of tRNAs from A/P and P/E to P and E sites
mRNA moves by one codon
Ribosome undergoes reverse rotation to post-translocation (POST) state
Dissociation:
GDP-bound EF-G has reduced affinity for POST ribosome
Dissociation allows next elongation cycle
Comparative binding kinetics across bacterial species:
| Parameter | E. coli | S. aureus | Predicted for E. fergusonii | Method |
|---|---|---|---|---|
| Initial binding rate (kon) | 150 μM⁻¹s⁻¹ | 110 μM⁻¹s⁻¹ | ~130 μM⁻¹s⁻¹ (estimated) | Stopped-flow fluorescence |
| Dissociation rate (koff) | 30 s⁻¹ | 35 s⁻¹ | ~32 s⁻¹ (estimated) | Dissociation kinetics |
| GTP hydrolysis rate | 250 s⁻¹ | 200 s⁻¹ | ~230 s⁻¹ (estimated) | Rapid quench-flow |
| Translocation rate | 30 s⁻¹ | 25 s⁻¹ | ~28 s⁻¹ (estimated) | tRNA movement assays |
| Fusidic acid sensitivity | High | Variable | Moderate (predicted) | Inhibition assays |
Species-specific structural features relevant to binding:
Switch II region conformation varies across species, affecting fusidic acid binding
Domain IV, which interacts with the decoding center, shows species-specific sequence variations
C-terminal helix differences may affect interaction with ribosomal proteins
Advanced methodologies for studying species-specific dynamics:
Time-resolved cryo-electron microscopy:
Capture multiple states of the translocation process
Identify species-specific conformational differences
Resolution now approaching 2.5-3Å for ribosome complexes
Single-molecule FRET:
Strategic fluorophore placement on EF-G and ribosomal components
Real-time observation of conformational changes
Detection of potential species-specific intermediate states
Hydrogen-deuterium exchange mass spectrometry:
Map conformational dynamics and binding interfaces
Compare exchange patterns across species
Identify differences in domain flexibility
Computational molecular dynamics:
Simulate species-specific EF-G-ribosome interactions
Predict energy landscapes for conformational changes
Calculate transition state barriers for key steps
These studies can reveal the molecular basis for species-specific differences in antibiotic susceptibility and translational efficiency, potentially guiding the development of species-targeted antimicrobials.
Fusidic acid (FA) is a bacteriostatic antibiotic that locks EF-G on the ribosome in a post-translocational state . Resistance to FA typically involves mutations in the fusA gene encoding EF-G or acquisition of resistance proteins. Understanding these mechanisms in E. fergusonii compared to other pathogens provides valuable clinical insights:
Comparative analysis of fusA mutations conferring resistance:
Based on structural and functional analyses, fusA-based resistance mutations can be categorized into several groups:
| Resistance Mechanism | E. fergusonii (predicted) | S. aureus | E. coli | Clinical Relevance |
|---|---|---|---|---|
| FA binding site mutations | V90I, P114H, A376V, L456F | P404L, H457Y, R464C, L461S | P90S, A400V, P406L | High-level resistance, minimal fitness cost |
| EF-G-ribosome interface mutations | T84A, P413L | T84A, T387I, R76C | T84A, G92D, P413S | Moderate resistance, may affect translation efficiency |
| Conformational dynamics mutations | G502S, P551S | G556S, M453I, A655P | G502D, T671A | Variable resistance levels, context-dependent effects |
| EF-G stability mutations | L438F, G105S | A67T, V90I, P110S | Q88P, R76P | Compensatory, often secondary mutations |
Alternative resistance mechanisms:
FusB-family proteins:
Impermeability and efflux mechanisms:
Reduced uptake through altered membrane composition
Enhanced efflux through upregulation of multidrug transporters
Often provide cross-resistance to multiple antibiotics
Distribution: Widespread across gram-negative bacteria including Escherichia
Structural basis for species-specific resistance profiles:
Switch II region differences:
Domain interface variations:
Differences in interfaces between domains I, II, and III
Affect how mutations propagate structural changes to the FA binding site
Methodological approaches to study resistance:
Whole genome sequencing of resistant isolates:
Identify novel resistance mutations
Track evolutionary pathways to resistance
Site-directed mutagenesis:
Introduce specific mutations to confirm their role
Create combinations to study epistatic effects
MIC determination:
Quantify resistance levels of different mutations
Compare across species using isogenic backgrounds
Fitness cost assessment:
Growth rate comparisons
Competition assays
Stress response profiling
Structural biology:
Crystallography or cryo-EM of resistant variants
Map how mutations affect FA binding
Understanding these resistance mechanisms has important clinical implications for antibiotic stewardship and development of new translation-targeting antimicrobials with reduced potential for resistance.
Studying the interaction between E. fergusonii EF-G and fusidic acid (FA) requires sophisticated methodologies spanning structural, biochemical, and computational approaches. The following cutting-edge techniques provide comprehensive insights:
Structural biology approaches:
Time-resolved cryo-electron microscopy:
Capture different states of EF-G-ribosome-FA complex
Visualize conformational changes upon FA binding
Resolution now reaching 2.5-3Å for ribosome complexes
Sample preparation strategy: Stalled translation complexes with FA added at defined timepoints
X-ray crystallography with soaking experiments:
Crystallize EF-G in different conformational states
Soak crystals with FA to determine binding modes
Co-crystallization with FA analogs of varying affinities
Resolution target: <2.0Å to visualize water-mediated interactions
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Map regions of EF-G affected by FA binding
Identify allosteric effects distant from binding site
Compare exchange patterns between sensitive and resistant variants
Experimental design: Short (10s) to long (1h) deuterium exposure times
Biophysical binding studies:
Microscale thermophoresis (MST):
Determine binding affinities in solution
Minimal protein consumption (μg quantities)
Label-free option available
Advantage: Can work with crude lysates for mutant screening
Surface plasmon resonance (SPR) with kinetic analysis:
Real-time association and dissociation kinetics
Determine kon, koff, and KD values
Study temperature dependence for thermodynamic parameters
Experimental setup: Immobilize EF-G, flow FA at multiple concentrations
Isothermal titration calorimetry (ITC):
Direct measurement of binding enthalpies
Determine complete thermodynamic profile (ΔG, ΔH, TΔS)
Stoichiometry determination
Requires: 0.5-1mg purified EF-G per experiment
Functional assays with quantitative readouts:
Real-time GTPase assays with FA titration:
Continuous monitoring of phosphate release
IC50 determination for FA inhibition
Comparison between wild-type and mutant EF-G
Protocol: MDCC-PBP fluorescent biosensor for real-time detection
Single-molecule fluorescence assays:
Directly observe FA-induced ribosome stalling
Measure dwell times in different states
Determine concentration-dependent effects
Implementation: Zero-mode waveguides or TIRF microscopy
Computational approaches:
Molecular dynamics simulations:
Model FA binding and induced conformational changes
Free energy perturbation to calculate binding energies
Compare wild-type and resistant mutants
Simulation scale: Microsecond timescale with explicit solvent
AI-assisted binding site prediction:
AlphaFold-Multimer or RoseTTAFold for complex prediction
Deep learning-based binding site analysis
Virtual screening of FA derivatives
Validation: Experimental testing of top predictions
Comparative data table for methodology selection:
| Method | Information Provided | Sample Requirements | Equipment Cost | Time Requirement | Advantages |
|---|---|---|---|---|---|
| Cryo-EM | 3D structure of complex | ~1mg protein, high purity | $$$$ | Weeks-months | Complete structural context |
| HDX-MS | Conformational dynamics | ~100μg protein | $$$ | Days | Detects allosteric effects |
| MST | Binding affinity (KD) | ~5μg protein | $$ | Hours | Low sample consumption |
| SPR | Binding kinetics (kon, koff) | ~50μg protein | $$$ | Days | Real-time kinetics |
| MD Simulations | Binding mechanism | Structural model | $ | Days-weeks | Atomic-level dynamics |
| Single-molecule | Heterogeneity in binding | Labeled components | $$$$ | Weeks | Individual molecule resolution |
These methodologies provide complementary information about the E. fergusonii EF-G-fusidic acid interaction, enabling comprehensive characterization from binding affinity to structural mechanism.
Post-translational modifications (PTMs) of EF-G can dramatically alter its function, stability, and interactions with antibiotics. While specific data on E. fergusonii EF-G modifications is limited, the following represents the critical PTMs affecting bacterial translation factors:
Types of post-translational modifications affecting EF-G:
Oxidative modifications:
Phosphorylation:
Serine/threonine/tyrosine phosphorylation by bacterial kinases
Affects GTPase activity and conformational dynamics
Can regulate interaction with the ribosome and antibiotics
Often responds to nutrient availability and stress conditions
Methylation:
Lysine or arginine methylation
Alters surface properties and interaction interfaces
May affect protein stability and antibiotic binding
Often constitutive rather than regulatory
ADP-ribosylation:
Target of certain bacterial toxins
Drastically inhibits function by preventing ribosome interaction
Major modification leading to translation inhibition
Can affect antibiotic binding sites
Impact of PTMs on antibiotic susceptibility:
| Modification | Effect on EF-G Function | Impact on Antibiotic Susceptibility | Detection Method |
|---|---|---|---|
| Cys114-Cys266 disulfide | Inhibits GTPase activity | May increase fusidic acid binding by stabilizing specific conformation | Mass spectrometry, activity assays |
| Phosphorylation of Thr84 | Alters switch I dynamics | Could potentially interfere with fusidic acid binding site | Phosphoproteomic analysis |
| Methylation of Lys656 | Affects domain IV orientation | May alter interaction with decoding center and translocation inhibitors | MS/MS fragmentation patterns |
| ADP-ribosylation | Blocks ribosome binding | Prevents fusidic acid action by precluding formation of EF-G-ribosome complex | Western blot, specific antibodies |
Experimental approaches to study PTM effects:
Mass spectrometry-based proteomics:
Bottom-up approach: Enzymatic digestion followed by LC-MS/MS
Top-down approach: Analysis of intact protein and modification stoichiometry
Targeted quantification: Multiple reaction monitoring for specific modifications
Comparison of modification patterns under different stress conditions
Site-directed mutagenesis:
Generate mimics (e.g., Cys→Asp for phosphorylation) or prevention (Cys→Ala) mutants
Analyze functional consequences in vitro and in vivo
Determine effects on antibiotic susceptibility
Protocol design: Multi-site mutations may be required to observe phenotypes
In vitro modification systems:
Enzymatic installation of specific PTMs
Chemical modification approaches for cysteine oxidation
Comparative functional assays before and after modification
Antibiotic binding studies with modified protein
Structural studies of modified EF-G:
Crystallography or cryo-EM of modified protein
Molecular dynamics simulations to predict PTM effects
Hydrogen-deuterium exchange to detect conformational changes
Clinical and antimicrobial development implications:
PTMs can significantly alter antibiotic susceptibility profiles
Bacterial stress responses involving PTMs may contribute to tolerance phenotypes
Understanding PTM patterns across clinical isolates may help predict treatment outcomes
PTM-installing or PTM-preventing enzymes represent potential adjuvant targets
These studies provide valuable insights into bacterial adaptation mechanisms and may guide development of novel antimicrobial strategies that consider the PTM status of target proteins.
Research with recombinant E. fergusonii EF-G requires adherence to specific biosafety protocols and regulatory frameworks to ensure safe, compliant, and ethical research practices:
Biosafety classification and containment requirements:
Risk assessment:
E. fergusonii is generally classified as a Risk Group 2 organism
Recombinant DNA work involving E. fergusonii genes typically requires Biosafety Level 2 (BSL-2) containment
According to NIH Guidelines, experiments using Risk Group 2 agents as host-vector systems require Institutional Biosafety Committee (IBC) approval before initiation
Laboratory containment specifications:
| BSL-2 Requirement | Implementation Details | Compliance Verification |
|---|---|---|
| Limited access | Lockable doors, restricted entry during work | Laboratory audit |
| Biohazard signage | Proper labeling on doors, equipment, samples | Visual inspection |
| Biological safety cabinets | Class II BSCs for aerosol-generating procedures | Annual certification |
| Decontamination procedures | Validated methods for equipment, waste, surfaces | Verification testing |
| Personal protective equipment | Lab coats, gloves, eye protection as minimum | Training documentation |
| Handwashing sink | Accessible within laboratory | Facility inspection |
| Autoclave access | On-site or validated alternative | Verification records |
Regulatory compliance:
NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules :
Mandatory for institutions receiving NIH funding
Experiments with Risk Group 2 agents require IBC approval
Proper documentation and record-keeping essential
Regular training and updates on biosafety procedures
Institutional oversight mechanisms:
Institutional Biosafety Committee review and approval
Registration of recombinant DNA protocols
Periodic laboratory inspections
Incident reporting systems
International considerations:
Responsible research practices:
Dual-use research of concern (DURC) assessment:
Evaluation of potential misuse implications
Specific concern: Modified translation factors that could confer antibiotic resistance
Implementation of appropriate safeguards
Communication planning for sensitive findings
Environmental impact considerations:
Proper containment to prevent environmental release
Waste management protocols for recombinant materials
Risk mitigation strategies for potential accidental release
Research integrity measures:
Transparent reporting of methods
Proper validation of research findings
Responsible sharing of materials and data
Disclosure of potential conflicts of interest
Training and documentation requirements:
Mandatory training:
General biosafety training
Specific training for recombinant DNA work
Pathogen-specific training for E. fergusonii
Documentation of completion and regular refreshers
Standard Operating Procedures (SOPs):
Detailed protocols for all experimental procedures
Specific safety precautions for each methodology
Emergency response procedures
Regular review and updates as needed
Adherence to these biosafety and regulatory guidelines ensures that research on recombinant E. fergusonii EF-G is conducted safely, responsibly, and in compliance with applicable regulations, while minimizing potential risks to researchers, the community, and the environment.