Elongation factor G (EF-G), encoded by the fusA gene in Escherichia coli, is a critical protein in bacterial translation elongation. Recombinant versions of EF-G from E. coli O8 serogroup strains have garnered attention due to their roles in pathogenicity, iron acquisition, and translational regulation. This review synthesizes research findings on the structure, function, and clinical relevance of recombinant EF-G derived from E. coli O8 strains.
EF-G (704 amino acids, ~76.5 kDa) facilitates ribosomal translocation during translation by hydrolyzing GTP. Its structure includes five distinct domains (I–V), with domain IV playing a pivotal role in ribosome binding . The fusA gene (locus tag: EG10360) in E. coli K-12 encodes EF-G, which localizes to the cytosol and interacts with the 50S ribosomal subunit .
Recombinant EF-G is typically expressed in E. coli BL21(DE3) using pET-28a or pET-32a plasmids . Purification involves nickel affinity chromatography followed by size-exclusion chromatography. Mutagenesis studies have explored domain IV residues (e.g., S587P/S588P), revealing critical sites for ribosome binding and translocation efficiency .
| Method | Details | Source |
|---|---|---|
| Expression host | E. coli BL21(DE3) | |
| Plasmid vectors | pET-28a, pET-32a | |
| Purification steps | Ni-NTA chromatography, SEC | |
| Mutagenesis targets | Domain IV residues (S587, S588) |
Recombinant EF-G is associated with E. coli O8 strains producing Stx2l, a virulence factor linked to severe human infections . Whole-genome sequencing of O8 strains revealed conserved prophage structures encoding Stx2l, with EF-G potentially influencing prophage integration .
EF-G binds holo-TF via its surface-exposed regions, facilitating iron uptake in extraintestinal pathogenic E. coli (ExPEC) . This interaction enhances bacterial growth in iron-limited environments and survival within macrophages .
| Mechanism | Description | Source |
|---|---|---|
| Holo-TF binding | Surface-localized EF-G interacts with holo-TF | |
| Iron release | Facilitates iron dissociation from TF | |
| Survival advantage | Enhances growth in iron-deficient media |
Mutations in EF-G domain IV (e.g., S587P) reduce GTPase activity and translocation efficiency, highlighting its critical role in translation fidelity . These findings have implications for understanding translational regulation under oxidative stress .
O8 strains producing Stx2l exhibit high genetic similarity across global isolates, suggesting clonal spread and potential zoonotic transmission . Recombinant EF-G studies underscore the need for targeted diagnostics and therapeutics against O8-associated pathogens.
KEGG: ecr:ECIAI1_3476
Elongation factor G (EF-G), encoded by the fusA gene, is a critical component of the bacterial protein synthesis machinery. It functions primarily during the elongation phase of translation by catalyzing the translocation of peptidyl-tRNA from the A-site to the P-site on the ribosome after peptide bond formation. This GTPase protein utilizes the energy from GTP hydrolysis to drive the movement of mRNA and tRNAs through the ribosome, allowing for the addition of subsequent amino acids to the growing polypeptide chain. In E. coli O8 strains, fusA maintains this essential function while exhibiting serotype-specific sequence variations that may influence its interaction with ribosomes and other translation factors.
Recombinant E. coli O8 fusA typically contains modifications to facilitate expression, purification, and experimental manipulation while maintaining its functional domains. These modifications may include:
Addition of affinity tags (His, GST, FLAG) at N- or C-terminus
Codon optimization for expression host systems
Introduction of unique restriction sites for cloning purposes
Removal of membrane-association domains for improved solubility
Introduction of fluorescent protein fusions for localization studies
When designing recombinant fusA constructs, researchers must consider how these modifications might affect protein folding, GTPase activity, and interaction with ribosomes. Validation experiments comparing native and recombinant fusA activity are essential to ensure that experimental findings accurately reflect biological functions.
The choice of expression system depends on research objectives and downstream applications. For recombinant E. coli O8 fusA, several systems have proven effective:
| Expression System | Advantages | Limitations | Typical Yield |
|---|---|---|---|
| E. coli BL21(DE3) | High expression, simple induction, low cost | Potential inclusion body formation | 15-30 mg/L |
| E. coli Rosetta | Enhanced expression of rare codons | Antibiotic resistance markers may interfere with some experiments | 10-25 mg/L |
| E. coli SHuffle | Improved disulfide bond formation | Lower growth rate and expression | 8-15 mg/L |
| Cell-Free Systems | Rapid expression, accommodates toxic proteins | Higher cost, lower yield | 0.5-2 mg/mL reaction |
When working with recombinant nucleic acids for expressing fusA, researchers must adhere to institutional biosafety guidelines. Recombinant or synthetic nucleic acid molecules include those constructed by joining nucleic acid molecules that can replicate in living cells, synthetically produced or amplified nucleic acids, and molecules resulting from the replication of these constructs .
Achieving high-yield expression of functional recombinant fusA requires optimization of multiple parameters:
Induction timing: Induce at mid-log phase (OD600 = 0.6-0.8) for balance between biomass and expression efficiency
Induction temperature: Lower temperatures (16-25°C) often improve proper folding and solubility
Inducer concentration: For IPTG-inducible systems, 0.1-0.5 mM IPTG is typically sufficient; higher concentrations may lead to inclusion body formation
Media composition: Enriched media (TB, 2xYT) generally provide higher yields than minimal media
Harvest timing: 4-6 hours post-induction at 37°C or 16-20 hours at 16-18°C
A systematic approach testing these variables is recommended to determine optimal conditions for your specific construct and experimental needs.
Multi-step purification approaches yield the highest purity recombinant fusA:
Initial capture: Immobilized metal affinity chromatography (IMAC) for His-tagged fusA or glutathione affinity for GST-tagged constructs
Intermediate purification: Ion exchange chromatography (typically anion exchange at pH 8.0)
Polishing step: Size exclusion chromatography to separate monomeric fusA from aggregates and remaining contaminants
For functional studies, it's critical to verify that the purified protein retains GTPase activity, which can be assessed using malachite green phosphate detection assays or coupled enzyme assays measuring NADH oxidation.
When designing site-directed mutagenesis experiments for fusA, consider these methodological approaches:
Target identification: Use sequence alignments and structural data to identify conserved residues likely involved in GTP binding, ribosome interaction, or domain movement
Mutation strategy: Consider conservative substitutions (maintaining charge/size) for structural studies versus non-conservative changes for functional disruption
Validation controls: Include wild-type controls and established mutants with known effects
Phenotypic analysis: Assess growth rates, antibiotic susceptibility, and in vitro translation efficiency
When investigating domain interactions or conformational changes, consider introducing pairs of cysteine residues for disulfide crosslinking or fluorophore attachment for FRET analysis.
Recombinant fusA provides valuable insights into antibiotic resistance mechanisms, particularly against translation-targeting antibiotics:
Fusidic acid resistance: fusA mutations are a primary mechanism of resistance to fusidic acid, which binds to EF-G and prevents its release from the ribosome
Cross-resistance effects: Some fusA mutations confer resistance to multiple antibiotics by altering ribosome-EF-G interactions
Experimental approaches:
In vitro translation assays with purified components
Ribosome binding studies using fluorescence polarization
Minimum inhibitory concentration (MIC) determinations with mutant constructs
Structural analysis of drug-resistant fusA variants
When studying such mechanisms, researchers should consider the regulatory context of fusA expression, as alterations in expression levels can also contribute to resistance phenotypes independently of structural changes.
Several advanced techniques enable detailed analysis of fusA-ribosome interactions:
| Technique | Application | Resolution | Advantages | Limitations |
|---|---|---|---|---|
| Cryo-electron microscopy | Structural visualization of complexes | 2.5-4.0 Å | Captures multiple states, minimal sample preparation | Requires specialized equipment |
| Fluorescence resonance energy transfer (FRET) | Real-time monitoring of conformational changes | ~10-100 Å | Dynamic information, solution-based | Requires strategic fluorophore placement |
| Crosslinking mass spectrometry | Identification of interaction interfaces | Amino acid resolution | Identifies transient interactions | May introduce artifacts |
| Surface plasmon resonance | Binding kinetics determination | N/A | Real-time association/dissociation rates | Requires surface immobilization |
| Ribosome profiling | Genome-wide translation analysis | Codon resolution | In vivo relevance, genome-wide | Complex data analysis |
These techniques can reveal how specific mutations in fusA from E. coli O8 strains might alter ribosome interactions and affect translational activity.
While the core translational function of fusA is conserved, subtle differences may exist between pathogenic and non-pathogenic E. coli O8 strains:
Sequence variations: Single nucleotide polymorphisms in fusA may affect protein stability or activity
Expression regulation: Pathogenic strains may exhibit altered regulation of fusA expression under stress conditions
Post-translational modifications: Differences in phosphorylation or methylation patterns may influence activity
Interaction partners: Variation in accessory factors that modulate fusA activity
Recent studies of E. coli O8:H8 strains, although not specifically examining fusA, have demonstrated how closely related strains can exhibit important functional differences. For example, E. coli O8:H8 strains isolated from patients in separate diarrhea outbreaks carried a prophage-encoded novel variant of heat-labile enterotoxin (LT2d) and colonization factor antigen III genes, despite appearing negative for known virulence determinants in routine testing . This finding highlights the importance of detailed molecular characterization when studying specific factors like fusA in E. coli O8 strains.
When faced with contradictory findings regarding fusA function or properties:
Examine methodological differences: Different expression systems, purification methods, or assay conditions can significantly impact results
Consider strain variations: Even within E. coli O8 classification, genetic heterogeneity exists that may affect fusA function
Validate with multiple techniques: Confirm findings using complementary approaches (e.g., both biochemical and genetic methods)
Analyze contextual factors: Consider how growth conditions, stress responses, or interaction partners might influence results
Perform statistical analysis: Ensure adequate replication and appropriate statistical tests to validate significance of differences
As demonstrated in studies of E. coli O-antigen diversity, seemingly similar strains can harbor significant genetic differences. Phylogenetic analysis of E. coli strains has revealed that even within the same serotype, strains can be phylogenetically distinct , which could explain functional differences in proteins like fusA.
Several bioinformatic approaches enhance the analysis of fusA variants:
Multiple sequence alignment: Tools like MUSCLE, CLUSTAL Omega, or T-Coffee for identifying conserved and variable regions
Structural mapping: Using PyMOL or UCSF Chimera to map variants onto protein structures
Evolutionary analysis: PAML or HyPhy for detecting sites under selection pressure
Molecular dynamics simulations: GROMACS or NAMD to predict how mutations affect protein dynamics
Protein-protein interaction prediction: HADDOCK or ClusPro for modeling fusA-ribosome interactions with variant sequences
When interpreting results, consider both the direct effects of amino acid substitutions on protein function and potential compensatory mutations that may preserve function despite sequence changes.
Distinguishing strain-specific from general fusA functions requires systematic comparative analysis:
Complementation studies: Express fusA variants in fusA-deficient backgrounds to assess functional conservation
Domain swap experiments: Create chimeric proteins with domains from different strain origins
Cross-species functional assays: Test E. coli O8 fusA function in heterologous systems
Evolutionary conservation analysis: Identify universally conserved versus strain-variable regions
Structure-function correlation: Map strain-specific variations onto structural models to predict functional impact
This approach parallels how researchers distinguish between shared and specific features of other E. coli components, such as O antigens. For instance, studying O antigen gene clusters has revealed how genetic relationships underpin structural diversity in E. coli strains .
Low expression or insolubility issues can be addressed through several strategies:
Expression optimization:
Try different promoter systems (T7, tac, araBAD)
Test various E. coli host strains (BL21, C41/C43, Arctic Express)
Optimize codon usage for expression host
Co-express molecular chaperones (GroEL/ES, DnaK/J)
Solubility enhancement:
Lower induction temperature (16-20°C)
Reduce inducer concentration
Include solubility enhancers in lysis buffer (10% glycerol, 0.1% Triton X-100)
Try fusion partners (MBP, SUMO, TrxA) known to enhance solubility
Refolding approaches:
Purify inclusion bodies and refold using gradual dialysis
Use on-column refolding during purification
Test different buffer compositions for refolding efficiency
The choice between these approaches depends on the specific properties of your fusA construct and the intended downstream applications.
When encountering problems with fusA activity assays:
GTPase activity issues:
Verify GTP quality and preparation
Ensure proper Mg²⁺ concentration (typically 5-10 mM)
Check for inhibitory contaminants in protein preparation
Optimize buffer conditions (pH, salt concentration)
Include positive controls with known activity
Ribosome interaction problems:
Verify ribosome preparation quality (A260/A280 ratio, sucrose gradient profile)
Ensure proper ratio of fusA to ribosomes
Check buffer compatibility with interaction requirements
Consider adding stabilizing components (polyamines, specific ions)
Translocation assay challenges:
Verify mRNA and tRNA integrity
Ensure correct order of component addition
Optimize temperature and incubation times
Include established translocation inhibitors as controls
Systematic troubleshooting with appropriate controls is essential for distinguishing between genuine biological effects and technical artifacts.
Several cutting-edge technologies are poised to transform fusA research:
Single-molecule techniques: Directly observe individual fusA molecules during ribosomal translocation
Time-resolved cryo-EM: Capture transient conformational states during the GTPase cycle
Integrative structural biology: Combine cryo-EM, X-ray crystallography, NMR, and computational approaches
In-cell NMR: Study fusA dynamics in the native cellular environment
AI-assisted protein engineering: Design fusA variants with enhanced properties or novel functions
These approaches will provide unprecedented insights into the molecular mechanisms of fusA function and potentially reveal new targets for antimicrobial development.
Advanced understanding of fusA could lead to novel therapeutic approaches:
Structure-guided drug design: Develop improved fusidic acid derivatives or entirely new classes of EF-G inhibitors
Combination therapy strategies: Identify synergistic interactions between fusA inhibitors and other antibiotics
Resistance mechanism circumvention: Design inhibitors that remain effective against common resistance mutations
Synthetic biology applications: Engineer modified fusA proteins with enhanced properties for biotechnological applications
Diagnostic developments: Create rapid tests for identifying fusA-mediated resistance in clinical isolates
Research on pathogenic E. coli O8 strains has already demonstrated the importance of detailed molecular characterization for understanding virulence mechanisms , suggesting that similar approaches focused on fusA could yield valuable insights for therapeutic development.