Recombinant S. aureus EF-Ts (tsf) is a genetically engineered version of the native EF-Ts protein. It facilitates the recycling of EF-Tu during translation by catalyzing the exchange of GDP for GTP, ensuring efficient delivery of aminoacyl-tRNA to the ribosome . EF-Ts stabilizes the EF-Tu·EF-Ts complex, which is essential for maintaining translational fidelity and resistance to antibiotics targeting elongation factors .
Complex Stability: Forms a stable complex with EF-Tu, reducing nucleotide binding affinity and conferring resistance to antibiotics like kirromycin and aurodox .
Recombinant S. aureus EF-Ts is produced in multiple heterologous systems for research applications :
| Expression System | Product Code | Features |
|---|---|---|
| Yeast | CSB-YP743371SKV | High purity, glycosylation potential |
| E. coli | CSB-EP743371SKV | Cost-effective, includes biotinylated variants |
| Baculovirus | CSB-BP743371SKV | Eukaryotic post-translational modifications |
| Mammalian Cells | CSB-MP743371SKV | Human-compatible folding and modifications |
These systems enable studies on EF-Ts structure-function relationships and antibiotic resistance mechanisms .
EF-Ts stabilizes EF-Tu in a conformation resistant to elfamycins (e.g., kirromycin), which target EF-Tu-GDP complexes .
Mutations in EF-Tu/EF-Ts complexes (e.g., fusA mutations) reduce fusidic acid binding, highlighting their role in antibiotic evasion .
Used in poly(U)-programmed polyphenylalanine synthesis assays to study translational fidelity .
Functional complementation assays in E. coli demonstrate cross-species compatibility of EF-Ts homologs .
Nucleotide Exchange Mechanism:
EF-Ts binds EF-Tu·GDP, destabilizing the nucleotide-binding pocket to accelerate GDP release. This is critical for restoring EF-Tu’s GTP-bound state .
Role in Pathogenesis:
EF-Ts indirectly supports virulence by maintaining translational efficiency under stress (e.g., oxidative or antibiotic exposure) .
Structural Insights:
Crystal structures of S. aureus EF-G (a homolog) reveal conformational shifts in switch I/II regions that influence antibiotic binding, suggesting similar dynamics in EF-Ts complexes .
KEGG: sah:SaurJH1_1343
Elongation factor Ts (EF-Ts) is a protein involved in the elongation phase of protein synthesis in bacteria, including Staphylococcus aureus. It functions as a guanine nucleotide exchange factor that catalyzes the release of GDP from elongation factor Tu (EF-Tu), allowing EF-Tu to bind a new GTP molecule and subsequently interact with aminoacyl-tRNA. This recycling of EF-Tu is essential for maintaining protein synthesis rates. In S. aureus, EF-Ts is encoded by the tsf gene and consists of 293 amino acids as indicated in the protein sequence data .
While EF-Ts itself has been less extensively studied than other elongation factors like EF-G (which is a target for the antibiotic fusidic acid), it plays a critical role in bacterial translation machinery . Unlike EF-Tu, which has been identified as a moonlighting protein with additional functions outside of translation in several bacterial species including S. aureus, the potential moonlighting activities of S. aureus EF-Ts have not been as thoroughly characterized .
Recombinant S. aureus EF-Ts is typically produced using heterologous expression systems, with E. coli being the most common host organism . The methodological approach involves:
Gene cloning: The tsf gene from S. aureus is amplified and cloned into an appropriate expression vector.
Transformation: The recombinant vector is transformed into competent E. coli cells.
Expression: Protein production is induced under optimized conditions.
Purification: The recombinant protein is isolated using affinity chromatography and additional purification steps to achieve high purity (>85% as indicated by SDS-PAGE) .
Quality control: The purified protein is analyzed by SDS-PAGE and may undergo functional assays to confirm activity.
Following a pre-experimental research design approach, researchers should validate the functionality of the recombinant protein before proceeding to more complex studies . This validation typically involves confirming that the recombinant protein can facilitate GDP/GTP exchange on EF-Tu, demonstrating that it retains its native biochemical activity.
S. aureus Elongation factor Ts differs from other elongation factors in several key aspects:
Functional role: While EF-Ts specifically acts as a guanine nucleotide exchange factor for EF-Tu, other elongation factors have distinct functions - EF-G catalyzes the translocation step during protein synthesis , and EF-Tu delivers aminoacyl-tRNAs to the ribosome .
Structural differences: Comparing S. aureus EF-Ts with EF-G reveals different domain organizations. EF-G consists of domains I-V with significant interdomain movements (up to 25 Å displacement observed in domain IV) , while EF-Ts has a different structural arrangement optimized for its interaction with EF-Tu.
Antibiotic targeting: EF-G is a known target for fusidic acid, an antibiotic used against Gram-positive bacteria including S. aureus . In contrast, EF-Ts is not a direct target for commonly used antibiotics based on available literature.
Moonlighting functions: EF-Tu has been identified as a moonlighting protein that can function on the bacterial cell surface, binding to host molecules including plasminogen . Comparable moonlighting functions have not been as extensively documented for EF-Ts.
Sequence conservation: While the core functional domains of elongation factors are generally conserved across bacterial species, the specific sequence variations can reflect adaptation to different environmental niches or pathogenic lifestyles.
According to the product information for recombinant S. aureus Elongation factor Ts , the following storage conditions are recommended:
| Storage Parameter | Recommendation |
|---|---|
| Short-term storage | -20°C |
| Extended storage | -20°C or -80°C |
| Reconstitution medium | Deionized sterile water |
| Protein concentration | 0.1-1.0 mg/mL |
| Cryoprotectant | 5-50% glycerol (final concentration) |
| Default glycerol concentration | 50% |
| Working aliquot storage | 4°C for up to one week |
| Freeze-thaw cycles | Minimize; repeated freezing and thawing is not recommended |
These storage conditions help maintain the stability and functional integrity of the protein for research applications. The addition of glycerol as a cryoprotectant is particularly important for preventing damage from ice crystal formation during freeze-thaw cycles.
For studying the function of S. aureus EF-Ts in protein translation, researchers should consider several experimental designs based on established research frameworks :
These provide the most rigorous approach for establishing cause-effect relationships:
In vitro reconstitution assays:
Experimental group: Complete translation system with purified components including native EF-Ts
Control group: System with EF-Ts omitted or replaced with inactive mutant
Measurable variables: Translation rate, accuracy, and efficiency
Site-directed mutagenesis studies:
Systematic mutation of conserved residues in the tsf gene
Expression and purification of mutant proteins
Measurement of nucleotide exchange activity using purified components
Correlation of biochemical defects with structural changes
Kinetic analyses:
Pre-steady state kinetics to determine rate constants for:
EF-Ts binding to EF-Tu·GDP
GDP release
GTP binding
EF-Ts dissociation from EF-Tu·GTP
When complete control of variables is not feasible:
For all experimental designs, researchers should implement appropriate controls, randomization, and replication to ensure statistical validity and reproducibility of results .
To investigate potential moonlighting functions of S. aureus EF-Ts, researchers could adapt methodologies similar to those used for studying EF-Tu's moonlighting roles :
Surfaceome analysis:
Cell fractionation to isolate membrane and cell wall fractions
Proteomic analysis to detect EF-Ts in non-cytoplasmic compartments
Immunofluorescence microscopy with anti-EF-Ts antibodies to visualize surface localization
Secretion mechanism investigation:
Binding assays:
ELISA-based screening for interaction with host extracellular matrix proteins
Surface plasmon resonance to determine binding kinetics
Pull-down assays to identify novel interaction partners
Functional consequences of host interactions:
Plasminogen activation assays in the presence of plasminogen activators
Adhesion assays with host cells
Biofilm formation studies
Identification of binding motifs:
Processing events analysis:
These approaches should be implemented using true experimental designs with appropriate controls to establish causal relationships between EF-Ts and any identified moonlighting functions .
Effective methodologies for analyzing structural changes in S. aureus EF-Ts during protein synthesis include:
X-ray crystallography:
Cryo-electron microscopy (Cryo-EM):
Visualization of EF-Ts in complexes with translation components
Single-particle analysis to capture different conformational states
Classification of structural ensembles to identify conformational flexibility
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Mapping regions with differential solvent accessibility during functional cycles
Identification of conformational changes upon binding to interaction partners
Time-resolved analysis to capture transient states
Nuclear Magnetic Resonance (NMR) spectroscopy:
Analysis of protein dynamics in solution
Chemical shift perturbation experiments to map interaction interfaces
Relaxation dispersion experiments to characterize conformational exchange
Förster Resonance Energy Transfer (FRET):
Site-specific labeling of EF-Ts at strategic positions
Real-time monitoring of distance changes during nucleotide exchange
Single-molecule FRET to capture heterogeneity in conformational states
Fluorescence anisotropy:
Measurement of binding kinetics between EF-Ts and EF-Tu
Detection of conformational changes through alterations in molecular tumbling
These methodologies should be applied within a true experimental research design framework to establish cause-effect relationships between specific structural changes and functional outcomes .
When facing contradictory data about S. aureus EF-Ts function, researchers can apply topological analysis methods to reconcile discrepancies :
Researchers should first categorize contradictions according to their nature:
Mathematical topology applications:
Creation of simplicial complexes to represent relationships between experimental findings
Persistent homology analysis to identify robust patterns across contradictory datasets
Network analysis of citation patterns to understand how contradictions propagate in literature
Integration with deep learning models:
Multi-scale experimental approaches:
Simultaneous investigation at different levels (biochemical, structural, cellular)
Integration of results to develop unified models that accommodate apparent contradictions
Identification of context-dependent behaviors
Systematic validation studies:
Reproduction of contradictory findings under standardized conditions
Rigorous analysis of experimental variables that might explain differences
Development of benchmark assays to resolve contradictions
This approach is particularly valuable for complex proteins like EF-Ts, where functional roles may be context-dependent or influenced by subtle experimental variations .
Current challenges in studying post-translational modifications (PTMs) of S. aureus EF-Ts include:
Detection sensitivity:
PTMs often occur substoichiometrically, requiring highly sensitive mass spectrometry methods
Need for enrichment strategies to concentrate modified peptides
Challenge of distinguishing true PTMs from artifacts introduced during sample preparation
Site localization:
Precise identification of modified residues within peptides
Disambiguation between adjacent potential modification sites
Need for high mass accuracy and fragment ion coverage
Dynamic regulation:
Temporal changes in modification patterns in response to environmental conditions
Potential rapid turnover of certain modifications
Interdependence between different modification types
Strain variation:
Differences in modification profiles between laboratory and clinical S. aureus isolates
Potential correlation with virulence or antibiotic resistance
Need for comparative studies across multiple strains
Causality establishment:
Determining whether PTMs cause functional changes or are consequences of them
Distinguishing regulatory PTMs from those occurring stochastically
Need for site-specific mutants that mimic or prevent specific modifications
Structural impacts:
Understanding how PTMs affect protein conformation
Potential allosteric effects on distant functional sites
Need for integrated structural and functional studies
These challenges require an integrated approach combining:
Advanced mass spectrometry techniques
Genetic manipulation methods
Structural biology approaches
In vitro and in vivo functional assays
A true experimental research design with appropriate controls is essential for establishing the functional significance of identified PTMs .
Antibiotic resistance can impact elongation factors in S. aureus through several mechanisms:
Target-based resistance:
Mutations in elongation factors that prevent antibiotic binding
Example: fusA mutations in EF-G that confer resistance to fusidic acid can be classified into categories affecting binding, interactions with the ribosome, conformational changes, and protein stability
Similar mutations might potentially arise in EF-Ts under selective pressure
Structural adaptations:
Changes in protein conformation that maintain function while preventing antibiotic binding
Alterations in dynamic properties that affect drug interaction without compromising essential activities
Compensatory mechanisms:
Changes in expression levels of elongation factors to maintain proper stoichiometry
Modifications in related factors to accommodate altered functions
Adjustments in translation rates to balance accuracy and efficiency
Global adaptation responses:
Alterations in translation factor interactions as part of broader stress responses
Changes in post-translational modification patterns
Shifts in expression of translation-related genes
Comparative genomics:
Analysis of tsf and other elongation factor genes across resistant isolates
Identification of co-evolving sites across the translation machinery
Correlation of genetic changes with resistance phenotypes
Biochemical characterization:
Measurement of nucleotide exchange rates with EF-Ts from resistant strains
Analysis of ribosome binding and translation efficiency
Determination of altered interaction networks
Structural studies:
Analysis of conformational changes in resistant variants
Identification of compensatory structural adaptations
Mapping of resistance mutations onto functional domains
Using a true experimental research design framework, researchers can establish causal relationships between specific resistance mechanisms and functional changes in elongation factors .
Comparative approaches to study EF-Ts across Staphylococcal species include:
Phylogenetic analysis:
Construction of evolutionary trees based on tsf gene sequences
Identification of conserved regions and species-specific variations
Detection of signatures of selection pressure
Comparative genomics:
Analysis of gene neighborhood and operon structure across species
Examination of promoter regions to identify regulatory differences
Investigation of horizontal gene transfer events
Homology modeling:
Generation of structural models for EF-Ts from different Staphylococcal species
Comparison of surface properties and electrostatic potentials
Identification of species-specific structural features
Experimental structure determination:
X-ray crystallography or Cryo-EM studies of EF-Ts from multiple species
Superposition analysis to identify conformational differences
Comparison of dynamic properties through HDX-MS or NMR
Biochemical characterization:
Measurement of nucleotide exchange activity across species
Determination of thermal stability and pH optima
Analysis of interaction kinetics with cognate EF-Tu proteins
Cross-species complementation:
Expression of EF-Ts from different Staphylococcal species in a model organism
Assessment of functional compatibility through growth and translation efficiency
Identification of species-specific functional adaptations
Comparative surface exposure analysis:
Investigation of potential moonlighting functions across species
Comparison of binding to host molecules
Correlation with pathogenic potential or host specificity
Immune recognition patterns:
Analysis of antigenic properties across species
Investigation of immune evasion strategies
Potential as species-specific diagnostic markers