EF-Ts serves two primary functions:
GTP-GDP Exchange: Accelerates nucleotide exchange in EF-Tu, enabling its reuse in aminoacyl-tRNA delivery to the ribosome .
Ternary Complex Regulation: Stabilizes the EF-Tu·GTP·aa-tRNA ternary complex and accelerates its disassembly post-GTP hydrolysis .
EF-Ts increases the apparent affinity of EF-Tu for GTP by 60-fold .
It destabilizes ternary complexes in the presence of non-hydrolyzable GTP analogs, ensuring rapid recycling .
EF-Ts interacts with chaperones like Hsp33, influencing EF-Tu folding and aggregation under stress .
The protein is expressed in Escherichia coli BL21(DE3)pLysS cells with an N-terminal His₆ tag for purification .
| Parameter | Details |
|---|---|
| Expression System | E. coli BL21(DE3)pLysS |
| Purity | >85% (SDS-PAGE verified) |
| Storage | -20°C/-80°C (lyophilized, 12-month shelf life) |
Recombinant EF-Ts is utilized in:
Pre-steady-state kinetic assays to study ternary complex dynamics .
Chaperone interaction studies (e.g., with Hsp33) to probe protein stability .
Structural analyses of EF-Tu conformational changes using fluorescence-based techniques .
EF-Ts reduces the half-life of EF-Tu·GTP·Phe-tRNA complexes from ~12.6 ± 1.1 minutes to <1 minute .
It enhances EF-Tu’s susceptibility to proteolysis when co-incubated with Hsp33 .
This recombinant protein is essential for:
KEGG: dvm:DvMF_2923
STRING: 883.DvMF_2923
Elongation Factor Ts (EF-Ts) is a guanosine nucleotide exchange factor that plays a critical role in protein synthesis by facilitating the regeneration of active EF-Tu- GTP from inactive EF-Tu- GDP. In Desulfovibrio vulgaris, as in other bacteria, EF-Ts catalyzes the exchange of GDP for GTP on EF-Tu, enabling the formation of the ternary complex (EF-Tu- GTP- aa-tRNA) necessary for delivering aminoacyl-tRNAs to the ribosome during translation elongation. Research has revealed that EF-Ts serves an unexpected dual function – not only does it catalyze nucleotide exchange on EF-Tu, but it also directly facilitates both the formation and disassociation of the ternary complex . This role in regulating the abundance and stability of the ternary complex contributes to rapid and accurate protein synthesis in the cell .
The tsf gene in Desulfovibrio vulgaris encodes Elongation Factor Ts and is typically located in an operon structure similar to other bacterial species. While the search results do not specifically detail the genetic structure of tsf in D. vulgaris, genomic analyses typically show that in bacteria, the tsf gene is often co-transcribed with other translation-related genes. The gene organization and regulatory elements may differ from other well-studied bacteria like E. coli, particularly given D. vulgaris' unique adaptations as a sulfate-reducing bacterium. Researchers interested in the tsf gene should perform comparative genomic analyses against reference genomes to identify potential regulatory elements and operon structures specific to D. vulgaris.
For effective expression of recombinant D. vulgaris EF-Ts, researchers have several options depending on the experimental requirements. While the search results don't specifically mention expression systems for D. vulgaris EF-Ts, we can draw from methodologies used for other D. vulgaris proteins and general recombinant protein expression principles:
Homologous expression system: Using D. vulgaris itself as an expression host offers advantages for proper folding and post-translational modifications. Recent advances in genetic manipulation of D. vulgaris Hildenborough have made this approach increasingly feasible . The markerless deletion system developed for D. vulgaris provides a platform for introducing expression cassettes for recombinant proteins .
Heterologous expression in E. coli: For higher yields, E. coli expression systems (particularly BL21(DE3) and its derivatives) remain the most common approach. When expressing D. vulgaris proteins in E. coli, researchers should consider codon optimization to account for the different codon usage between these species.
Expression vector considerations: Vectors containing the aph(3′)-II promoter (kanamycin resistance gene promoter from Tn5) have shown successful constitutive expression in D. vulgaris , making this a good candidate promoter for tsf expression.
The most efficient methods for genetic manipulation of D. vulgaris to express recombinant EF-Ts involve leveraging recent advances in D. vulgaris genetic tools:
Markerless deletion system: A significant advancement is the markerless deletion system developed for D. vulgaris Hildenborough, which uses the uracil phosphoribosyltransferase (upp) gene as a counterselectable marker . This system allows for multiple sequential genetic modifications without accumulating antibiotic resistance genes, making it ideal for complex genetic engineering required for optimized protein expression .
Two-step integration and excision strategy: This approach involves:
Transformation efficiency considerations: When introducing expression vectors, using a D. vulgaris strain with enhanced transformation efficiency is beneficial. The JW7035 strain (ΔhsdR) exhibits 100-1,000 times greater transformation efficiency than wild-type when introducing stable plasmids via electroporation , making it a suitable host for recombinant protein expression.
| Strain | Transformation Efficiency (Relative to WT) | Notes |
|---|---|---|
| Wild-type D. vulgaris | 1× | Base reference |
| JW7035 (ΔhsdR) | 100-1,000× | Deletion of type I restriction endonuclease increases efficiency |
Optimizing codon usage of the D. vulgaris tsf gene for heterologous expression requires a methodical approach:
Codon usage analysis: First, analyze the codon usage bias of both D. vulgaris (source organism) and your expression host. D. vulgaris has a different GC content and codon preference compared to common expression hosts like E. coli.
Codon adaptation strategy:
Replace rare codons in the expression host with more abundant ones without changing the amino acid sequence
Focus particularly on clusters of rare codons, which can cause ribosomal stalling
Consider maintaining the native codon usage at critical folding regions to ensure proper co-translational folding
Gene synthesis: Rather than attempting site-directed mutagenesis to change multiple codons, it's often more efficient to synthesize the entire codon-optimized gene.
Experimental validation: Test the expression of both native and codon-optimized variants to determine if optimization improves yield and solubility.
Several factors can affect the stability of recombinant D. vulgaris EF-Ts during expression and purification:
Expression temperature: Lower temperatures (16-25°C) typically slow down protein synthesis, potentially allowing for better folding and increased solubility.
Buffer composition: Based on knowledge of EF-Ts structure and function:
pH considerations: Optimal pH is typically in the range of 7.0-8.0 for most EF-Ts proteins
Salt concentration: Moderate ionic strength (100-300 mM NaCl) often helps maintain stability
Reducing agents: Including DTT or β-mercaptoethanol can prevent oxidation of cysteine residues
Nucleotide consideration: Since EF-Ts interacts with nucleotides, presence of GDP/GTP might affect stability
Protease inhibitors: Including a cocktail of protease inhibitors during cell lysis and early purification steps can prevent degradation.
Purification strategy: Affinity tags (His-tag, GST) should be positioned to minimize interference with protein folding and function. Consider testing both N- and C-terminal tag placements.
Storage conditions: Add glycerol (10-20%) to storage buffers and store at -80°C in small aliquots to prevent freeze-thaw cycles.
To measure the nucleotide exchange activity of recombinant D. vulgaris EF-Ts, researchers can employ several established assays:
Fluorescence-based assays:
MANT-GDP displacement assay: Using the fluorescent GDP analog MANT-GDP (N-methylanthraniloyl-GDP) bound to EF-Tu, monitor the decrease in fluorescence as unlabeled GDP displaces MANT-GDP in the presence of EF-Ts
Tryptophan fluorescence: Changes in intrinsic tryptophan fluorescence of EF-Tu upon nucleotide exchange can be monitored in real-time
Radioactive assays:
Filter binding assay: Pre-load EF-Tu with radioactive [³H]GDP or [³⁵S]GTPγS, then measure the EF-Ts-catalyzed release of radioactivity using filter binding
Rapid kinetics: Use rapid quench-flow techniques to measure pre-steady-state kinetics of nucleotide exchange
Steady-state kinetics approach:
Determine apparent affinity constants by titrating EF-Tu with varying concentrations of EF-Ts
Monitor the formation of EF-Tu- GTP complex as a function of EF-Ts concentration
Based on previous studies with E. coli EF-Ts, fluorescence-based assays using Cy3-labeled tRNA can track ternary complex formation, with EF-Ts causing a measurable increase in fluorescence intensity (~30% above baseline) .
While the search results don't provide specific kinetic parameters for D. vulgaris EF-Ts, we can outline the key parameters that researchers should determine and compare to well-characterized systems like E. coli:
Key kinetic parameters to measure:
Rate of GDP dissociation from EF-Tu in the presence of EF-Ts (k₁)
Rate of GTP binding to EF-Tu facilitated by EF-Ts (k₂)
Binding affinity between EF-Tu and EF-Ts (KD)
Rate of ternary complex formation with EF-Tu- GTP and aa-tRNA (k₃)
Comparative analysis:
In E. coli, EF-Ts accelerates both the formation and decay rates of ternary complexes through a nucleotide-dependent, rate-determining conformational change in EF-Tu . Research suggests that EF-Ts attenuates the affinity of EF-Tu for GTP and destabilizes ternary complex in the presence of non-hydrolyzable GTP analogs . These findings highlight EF-Ts' role in regulating the abundance and stability of ternary complex.
Researchers should specifically investigate whether D. vulgaris EF-Ts exhibits similar dual functionality in both nucleotide exchange and ternary complex regulation as observed in E. coli.
The interaction between D. vulgaris EF-Ts and EF-Tu likely varies depending on the nucleotide or nucleotide analog present, similar to what has been observed in other bacterial systems. While specific data for D. vulgaris is not provided in the search results, researchers should investigate:
Nucleotide dependency:
Compare EF-Ts activity with GDP vs. GTP bound to EF-Tu
Measure binding affinities and exchange rates with different nucleotides
Non-hydrolyzable GTP analogs:
Experimental approach:
Employ surface plasmon resonance (SPR) to measure binding kinetics under different nucleotide conditions
Use isothermal titration calorimetry (ITC) to determine thermodynamic parameters of binding
Test fluorescence-based assays with labeled nucleotides to track exchange in real-time
A systematic comparison across different nucleotides would provide insights into the nucleotide specificity of D. vulgaris EF-Ts and how it might differ from other bacterial species.
Recombinant D. vulgaris EF-Ts provides a valuable tool for investigating translation mechanisms in extremophilic sulfate-reducing bacteria:
Comparative biochemistry approaches:
Compare the biochemical properties of D. vulgaris EF-Ts with those from non-extremophiles to identify adaptations for functioning under anaerobic or high-sulfide conditions
Analyze temperature and pH optima to understand environmental adaptations
Examine structural features that may contribute to stability under extreme conditions
In vitro translation systems:
Develop a D. vulgaris-specific in vitro translation system incorporating purified recombinant components
Test the efficiency of translation under various environmental conditions (pH, temperature, sulfide concentration)
Compare translation rates and accuracy with and without recombinant EF-Ts to quantify its contribution to translation efficiency
Structural biology applications:
Solve the crystal structure of D. vulgaris EF-Ts alone and in complex with EF-Tu
Identify structural elements that differ from mesophilic bacteria and may contribute to its function in extremophilic conditions
System-level studies:
Integrate findings into models of translation regulation in extremophilic bacteria
Investigate how translation factors like EF-Ts contribute to adaptation to environmental stress
Understanding EF-Ts' role in D. vulgaris stress response provides insights into bacterial adaptation mechanisms:
Metal stress adaptation:
As a sulfate-reducing bacterium, D. vulgaris often encounters heavy metals in its environment
Study whether EF-Ts expression changes under metal stress conditions
Investigate if post-translational modifications of EF-Ts occur during stress response
Oxidative stress response:
Despite being an anaerobe, D. vulgaris has mechanisms to deal with periodic oxygen exposure
Examine EF-Ts stability and function under mild oxidative conditions
Determine if EF-Ts is modified or degraded during oxidative stress
Translational reprogramming during stress:
Analyze whether alterations in EF-Ts activity contribute to selective translation of stress-response proteins
Compare wild-type and EF-Ts mutant strains for their ability to survive various stresses
Experimental approaches:
Use quantitative proteomics to measure EF-Ts abundance under different stress conditions
Perform ribosome profiling to identify changes in translation patterns when EF-Ts activity is altered
Create conditional EF-Ts mutants to examine stress survival phenotypes
Branch-recombinant statistical models offer sophisticated approaches to analyzing EF-Ts function under various perturbations:
Branch-recombinant Gaussian processes (B-RGPs):
Applications to EF-Ts functional studies:
Temporal response analysis: Compare time series data of translation efficiency with and without perturbations to EF-Ts
Identification of branch times: Determine exactly when EF-Ts function changes in response to environmental perturbations
Multi-branch analysis: Study how multiple factors simultaneously affect EF-Ts function
Experimental design:
Collect time-resolved data on EF-Ts activity under control and perturbed conditions
Use fluorescence-based assays to continuously monitor nucleotide exchange and ternary complex formation
Generate multiple perturbation conditions (temperature, pH, salt concentration) to create branching scenarios
Data analysis approach:
Creating D. vulgaris strains with modified EF-Ts presents several technical challenges that researchers should anticipate:
Essential gene considerations:
The tsf gene likely encodes an essential protein, making direct knockouts potentially lethal
Strategies must include conditional expression systems or careful point mutations that alter function without eliminating it
Genetic manipulation challenges:
Despite advances in D. vulgaris genetic tools, transformation efficiency remains relatively low compared to model organisms
The recently developed markerless deletion system can be leveraged to introduce precise modifications
Using the JW7035 strain (ΔhsdR) with 100-1,000× higher transformation efficiency can improve success rates
Technical implementation:
Conditional expression: Develop inducible promoter systems compatible with D. vulgaris
Point mutations: Design mutations based on structural knowledge to alter specific aspects of EF-Ts function
Tagged variants: Create versions with affinity or fluorescent tags to track localization and interactions
Verification strategies:
Confirm modifications at the genomic level through sequencing
Verify protein expression and function through Western blotting and activity assays
Assess growth phenotypes under various conditions to determine functional impacts
| Modification Strategy | Advantages | Challenges | Verification Method |
|---|---|---|---|
| Point mutations | Precise alterations of specific functions | Requires structural knowledge | Sequencing, activity assays |
| Conditional expression | Controls timing of expression | Requires validated inducible systems for D. vulgaris | RT-qPCR, Western blot |
| Affinity-tagged variants | Enables purification and interaction studies | Tags may interfere with function | Pull-down assays, localization studies |
| Domain swaps | Tests function of specific domains | May disrupt protein folding | Activity assays, structural analyses |
While specific structural information about D. vulgaris EF-Ts is not provided in the search results, researchers should investigate these key aspects:
Domain organization: Typical bacterial EF-Ts contains an N-terminal domain, a core domain with the EF-Tu binding interface, and a C-terminal domain. Researchers should determine if D. vulgaris EF-Ts maintains this organization or contains unique modifications.
Conserved interaction motifs: The EF-Tu binding interface typically contains highly conserved residues. Analysis of the D. vulgaris EF-Ts sequence can reveal whether these interaction motifs are preserved or have evolved differently.
Adaptations to extremophilic lifestyle: As D. vulgaris lives in anaerobic, potentially sulfide-rich environments, its EF-Ts may contain structural adaptations such as:
Modified surface charge distribution
Altered hydrophobic core packing
Reduced number of oxidation-sensitive residues (cysteines)
Enhanced stability features for function in its ecological niche
Experimental approaches:
X-ray crystallography or cryo-EM to solve the structure
Hydrogen-deuterium exchange mass spectrometry to map flexible regions
Comparative modeling based on existing bacterial EF-Ts structures
Beyond its canonical interaction with EF-Tu, D. vulgaris EF-Ts likely interacts with other components of the translation machinery:
Potential interaction partners:
Ribosomes: Investigate whether EF-Ts can directly associate with ribosomes under certain conditions
tRNAs: Research in E. coli has shown that EF-Ts directly facilitates both formation and disassociation of the ternary complex (EF-Tu- GTP- aa-tRNA) , suggesting direct or indirect interactions with tRNAs
Other translation factors: Examine potential interactions with initiation or termination factors
Regulatory interactions:
Metabolic enzymes: In some bacteria, translation factors form complexes with metabolic enzymes to coordinate protein synthesis with metabolic state
Stress response proteins: Under stress conditions, EF-Ts may interact with stress-response proteins to modulate translation
Experimental approaches:
Co-immunoprecipitation: Pull-down assays with tagged EF-Ts to identify interaction partners
Cross-linking mass spectrometry: To capture transient interactions in vivo
Bacterial two-hybrid systems: To screen for potential protein-protein interactions
Fluorescence resonance energy transfer (FRET): To study interactions in real-time in living cells
Investigating these interactions would provide insights into the broader role of EF-Ts in coordinating translation with other cellular processes in D. vulgaris.
Recombinant D. vulgaris EF-Ts offers unique opportunities for enhancing cell-free protein synthesis (CFPS) systems:
Development of extremophile-based CFPS:
Create CFPS systems that function under anaerobic or high-sulfide conditions
Optimize translation efficiency in non-standard environments relevant to biotechnology applications
Develop specialized CFPS systems for the production of oxygen-sensitive proteins
Enhanced translation efficiency:
As EF-Ts facilitates nucleotide exchange on EF-Tu and influences ternary complex dynamics , it serves as a critical control point for translation efficiency
Adjusting EF-Ts concentration in CFPS can fine-tune protein synthesis rates
Engineered EF-Ts variants could be developed with altered kinetic properties for specialized applications
Implementation strategy:
Optimize the ratio of EF-Ts to EF-Tu in the CFPS system
Compare performance with EF-Ts from different bacterial sources (mesophiles vs. extremophiles)
Combine with other translation factors from D. vulgaris to create a complete sulfate-reducing bacteria-derived translation system
Potential advantages:
CFPS systems incorporating D. vulgaris components may show enhanced stability under reducing conditions
Such systems could enable the synthesis of metalloproteins or oxygen-sensitive enzymes that are challenging to produce in conventional systems
Investigating D. vulgaris EF-Ts' potential role in antibiotic resistance requires systematic experimental approaches:
Susceptibility testing:
Compare antibiotic sensitivity of wild-type D. vulgaris with strains overexpressing or containing modified EF-Ts
Test a panel of antibiotics targeting different steps of translation (tetracyclines, aminoglycosides, macrolides)
Determine minimum inhibitory concentrations (MICs) and growth inhibition curves
Molecular mechanisms:
Direct binding studies: Assess if antibiotics directly interact with EF-Ts using techniques like isothermal titration calorimetry
Competition assays: Determine if antibiotics compete with natural ligands for binding to EF-Ts
Structural analysis: Use X-ray crystallography or cryo-EM to visualize potential antibiotic binding sites
Functional assays:
In vitro translation: Compare the effect of antibiotics on translation systems with different levels or variants of EF-Ts
Nucleotide exchange assays: Test if antibiotics affect the nucleotide exchange function of EF-Ts
Ternary complex formation: Examine how antibiotics influence EF-Ts' role in ternary complex dynamics
Genetic approaches:
Understanding EF-Ts' potential contribution to antibiotic resistance could provide new insights into bacterial adaptation and potentially identify novel targets for antimicrobial development.