Recombinant EF-G (fusA) refers to a truncated form of the elongation factor G protein expressed in heterologous systems such as E. coli, yeast, or mammalian cells. The "partial" designation indicates that only specific functional domains (e.g., GTPase or ribosome-binding regions) are produced.
Key production systems include :
| Expression System | Tag/Modification | Purity | Applications |
|---|---|---|---|
| Yeast | None | High | Structural studies |
| E. coli | AviTag biotinylation | >90% | Protein interaction assays |
| Baculovirus | Native | High | Enzyme kinetics |
| Mammalian cells | None | Medium | Functional screening |
EF-G drives tRNA/mRNA translocation via GTP hydrolysis. Structural studies show EF-G adopts compact (GTP-bound) and elongated (GDP-bound) conformations on ribosomes, with FA trapping intermediate states .
In S. aureus, mutations like F88L disrupt FA binding by altering the interdomain pocket (Domains I–III), reducing drug efficacy . Similar mechanisms are hypothesized for Sulfurovum EF-G, though experimental validation is lacking.
Antibiotic Development: Screening FA analogs against recombinant EF-G to identify resistance-proof inhibitors .
Ribosome Recycling Studies: Probing interactions with ribosome recycling factor (RRF) using biotinylated variants .
Evolutionary Analysis: Comparing Sulfurovum EF-G with vent/non-vent Epsilonproteobacteria to elucidate environmental adaptations .
Sulfurovum species exhibit metabolic versatility in sulfur oxidation and nitrate reduction, but EF-G’s role in their translation machinery remains understudied. Genomic analyses suggest:
Operon Conservation: fusA is linked to ribosomal proteins (e.g., rpl genes), typical of EF-G’s core translational role .
Divergent Expression: Vent Sulfurovum strains (e.g., NBC37-1) show upregulated stress-response genes, potentially modulating EF-G activity under extreme conditions .
Structural Characterization: Cryo-EM or X-ray crystallography of Sulfurovum EF-G to resolve domain-specific interactions.
Functional Assays: Testing FA susceptibility and ribosome-binding kinetics in recombinant variants.
Ecological Relevance: Linking EF-G efficiency to Sulfurovum’s adaptation in deep-sea vents or coastal sediments .
KEGG: sun:SUN_0135
STRING: 387093.SUN_0135
Elongation Factor G (fusA) plays critical roles in two essential steps of bacterial translation. During elongation, fusA catalyzes the translocation of peptidyl-tRNA from the A-site to the P-site after peptide bond formation. During ribosome recycling, fusA works with ribosome recycling factor (RRF) through multiple rounds of GTP hydrolysis to split the 70S ribosome into subunits . In Sulfurovum, which dominates deep-sea cold seep microbial communities, fusA likely maintains these conserved functions while potentially exhibiting adaptations to cold, sulfur-rich environments .
Methodological approach: To characterize fusA function, researchers should:
Express recombinant protein with appropriate tags (His, GST)
Purify using affinity chromatography followed by size exclusion
Perform in vitro translation assays using purified ribosomes
Measure GTP hydrolysis rates under various conditions using malachite green assays
Structural validation is essential before functional characterization, particularly for proteins from extremophiles like Sulfurovum that may require specific conditions for proper folding.
Methodological approach:
Perform circular dichroism (CD) spectroscopy to assess secondary structure content
Use thermal shift assays to determine protein stability under various buffer conditions
Conduct limited proteolysis to confirm compact, folded domains resistant to digestion
Compare with known EF-G structures using homology modeling based on the fusA sequence from Sulfurovum
Verify nucleotide binding capacity using fluorescent GTP analogs or isothermal titration calorimetry
Expressing functional recombinant fusA from Sulfurovum presents challenges due to its extremophilic origin and potential codon bias.
Methodological approach:
Test multiple expression vectors with different promoters (T7, tac, arabinose-inducible)
Optimize expression conditions:
Temperature (12-30°C, with emphasis on lower temperatures)
Induction time (4-24 hours)
Inducer concentration
Consider specialized E. coli strains:
ArcticExpress for cold-adapted expression
Rosetta for rare codon optimization
C41/C43 for toxic or membrane-associated proteins
Evaluate solubility enhancement strategies:
Fusion partners (MBP, SUMO, Trx)
Co-expression with chaperones (GroEL/ES)
The conformational changes of EF-G are crucial for its function. The F88 residue in S. aureus (corresponding to F90 in T. thermophilus) is important for transmitting conformational changes between GTP and GDP forms , suggesting similar dynamics may be critical in Sulfurovum sp. fusA.
Methodological approach:
Generate single cysteine variants at key positions for fluorescent labeling
Perform FRET analysis to track conformational changes during GTP hydrolysis
Use cryo-EM to capture different conformational states of fusA on the ribosome
Compare dynamics at different temperatures relevant to deep-sea environments (4-15°C)
Create point mutations in switch regions and measure effects on:
GTP hydrolysis rate
Ribosome binding affinity
Translocation efficiency
Fusidic acid works by blocking EF-G on the ribosome with GDP, preventing its release from post-translocation complexes . Understanding potential natural resistance in Sulfurovum sp. fusA could provide insights into antibiotic resistance mechanisms.
Methodological approach:
Compare sequence alignments focusing on known resistance sites (e.g., F88 in S. aureus)
Test susceptibility to fusidic acid in vitro using:
GTPase activity assays
Ribosome binding assays
Translocation assays
Create chimeric proteins swapping domains between Sulfurovum sp. fusA and susceptible EF-Gs
Perform computational docking and molecular dynamics simulations to identify potential structural differences affecting drug binding
As a protein from a deep-sea bacterium, Sulfurovum sp. fusA likely exhibits adaptations for function at low temperatures and high pressure.
Methodological approach:
Measure steady-state kinetic parameters (Km, kcat, kcat/Km) across temperature range (4-37°C)
Determine activation energies using Arrhenius plots
Assess effects of pressure using specialized high-pressure equipment
Compare with EF-G from model organisms and other extremophiles using a comparative table:
| Species | Optimal Temp (°C) | Km for GTP (μM) | kcat (s⁻¹) | kcat/Km (M⁻¹s⁻¹) | Activation Energy (kJ/mol) |
|---|---|---|---|---|---|
| E. coli | 37 | x | x | x | x |
| S. aureus | 37 | x | x | x | x |
| Sulfurovum sp. | 10-15 (predicted) | x | x | x | x |
| T. thermophilus | 65 | x | x | x | x |
Cold-adapted proteins typically exhibit specific amino acid substitutions that maintain flexibility at low temperatures.
Methodological approach:
Perform comparative sequence analysis between Sulfurovum sp. fusA and mesophilic homologs focusing on:
Reduced proline content in loops
Reduced arginine/increased lysine ratio
Increased glycine content
Reduced hydrophobic core packing
Create a position-specific scoring matrix to identify cold-adaptation signatures
Generate thermal stability curves using differential scanning fluorimetry
Measure activity at different temperatures (4-37°C) and correlate with structural features
Based on studies of fusA in other bacteria, expression levels may change in response to environmental conditions. In P. plecoglossicida, fusA expression was significantly affected by temperature, pH, and heavy metals .
Methodological approach:
Culture Sulfurovum under varying conditions:
Temperature range (4-30°C)
pH (5-9)
Oxidative stress (H₂O₂)
Heavy metals (Cu²⁺, others found in deep-sea environments)
Iron availability (using chelating agents)
Quantify fusA expression using qRT-PCR
Perform RNA-seq to identify co-regulated genes
Map regulatory elements in the fusA promoter region
Sulfurovum dominates microbial communities in deep-sea cold seeps, including seawater close to seepage, surface sediments, and association with animal hosts .
Methodological approach:
Compare fusA sequences from different Sulfurovum strains isolated from various microhabitats
Measure fusA expression levels in situ using environmental transcriptomics
Assess co-occurrence patterns between fusA expression and biogeochemical processes
Investigate potential moonlighting functions beyond translation (as seen in P. plecoglossicida, where fusA affects biofilm formation )
Understanding the structure of Sulfurovum sp. fusA is essential for insights into its function and adaptations.
Methodological approach:
X-ray crystallography:
Perform systematic crystallization screening with various nucleotides (GDP, GTP, GMP-PNP)
Consider co-crystallization with ribosome components
Use crystallization conditions optimized for cold-adapted proteins (lower temperatures, specific precipitants)
Cryo-electron microscopy:
Prepare fusA-ribosome complexes trapped in different states
Use vitrification conditions optimized for cold-active complexes
Small-angle X-ray scattering (SAXS):
Characterize solution structure and conformational flexibility
Compare different nucleotide-bound states
Integrative structural biology approach:
Combine data from multiple methods with computational modeling
Validate with hydrogen-deuterium exchange mass spectrometry
EF-G typically consists of five domains, with interdomain interactions being crucial for function. In S. aureus, FA-resistant mutations are found scattered at domain interfaces .
Methodological approach:
Create domain truncation constructs to identify minimal functional units
Perform cross-linking mass spectrometry to map domain interfaces
Use site-directed mutagenesis targeting predicted interface residues
Apply molecular dynamics simulations to analyze domain movements during the GTPase cycle
Develop FRET-based assays with domain-specific labels to track conformational changes in real-time
Sulfurovum thrives in the deep sea where it plays important roles in carbon, sulfur, and nitrogen cycles . Structural adaptations in fusA likely contribute to its functionality in this environment.
Methodological approach:
Identify unique insertions/deletions through multiple sequence alignment with mesophilic EF-Gs
Analyze surface charge distribution and compare with homologs from different temperature niches
Examine hydrogen bonding networks and salt bridge patterns that might confer cold stability
Look for structural elements that could provide resistance to pressure effects
Model the hydration shell and analyze water-protein interactions that might differ from mesophilic homologs
Cell-free protein synthesis systems require efficient translation factors. Cold-adapted fusA could enable protein production at lower temperatures.
Methodological approach:
Develop a cell-free translation system incorporating purified Sulfurovum sp. fusA
Compare translation efficiency at different temperatures (4-37°C)
Test expression of difficult-to-express proteins that may benefit from low-temperature synthesis
Optimize buffer conditions for maximum activity of Sulfurovum sp. fusA
Create hybrid systems combining components from different temperature-adapted organisms
Comparative genomics of fusA from different Sulfurovum species could reveal signatures of adaptation to specific deep-sea niches.
Methodological approach:
Sequence fusA from multiple Sulfurovum isolates from various deep-sea environments
Perform phylogenetic analysis to identify clade-specific adaptations
Calculate dN/dS ratios to identify sites under positive selection
Correlate sequence variations with environmental parameters
Reconstruct ancestral sequences to understand the evolutionary trajectory of fusA in this genus
Understanding the molecular basis of natural antibiotic resistance in environmental bacteria can provide insights into clinical resistance mechanisms.
Methodological approach:
Compare the fusidic acid binding site between Sulfurovum sp. fusA and clinical isolates
Test novel fusidic acid derivatives against wild-type and mutant fusA proteins
Identify structural features that could be targeted by new translation inhibitors
Investigate horizontal gene transfer potential of resistance-conferring fusA variants
Develop predictive models for resistance emergence based on structural constraints