Translation elongation factor P (EF-P) is a conserved bacterial protein that facilitates peptide bond formation during protein synthesis, particularly at proline-rich sequences that can cause ribosomal stalling . EF-P alleviates ribosome stalling at proline stretches . Bdellovibrio bacteriovorus is a predatory bacterium known for its ability to invade and consume other Gram-negative bacteria . Recombinant EF-P refers to EF-P that has been produced using recombinant DNA technology, where the gene encoding EF-P from B. bacteriovorus is cloned and expressed in a host organism to produce a purified protein .
Many EF-P proteins undergo post-translational modifications that are critical for their function . In some bacteria, EF-P is modified with β-lysine, while in others, it is modified with rhamnose . These modifications enhance EF-P's ability to interact with the ribosome and promote peptide bond formation .
In B. bacteriovibrio, EF-P is essential for growth and predation, ensuring efficient protein synthesis even when faced with the challenges of synthesizing proteins within prey bacteria .
Recombinant EF-P is produced by cloning the efp gene from B. bacteriovorus into an expression vector and expressing it in a suitable host organism, such as E. coli . The recombinant protein can then be purified and used for in vitro studies to understand its function and interactions with the ribosome.
Essentiality: EF-P is essential for the viability of certain bacterial pathogens such as Neisseria meningitidis .
Modification: The modification of EF-P, such as rhamnosylation, is crucial for its function in rescuing stalled ribosomes .
Complementation: EF-P from one bacterial species can complement the function of EF-P in another species, indicating a conserved mechanism of action .
KEGG: bba:Bd2491
STRING: 264462.Bd2491
Two primary expression systems have been documented for recombinant B. bacteriovorus efp:
Baculovirus expression system: This system has been used successfully to express full-length recombinant B. bacteriovorus efp (residues 1-188) with high purity (>85% by SDS-PAGE) .
Mammalian cell expression: Alternative systems using mammalian cells have also been implemented for expression of the full-length protein .
When designing your expression strategy, consider:
Including appropriate affinity tags that can be determined during the manufacturing process
Expressing the full protein (residues 1-188) to maintain native functionality
Using expression conditions optimized for bacterial proteins (lower temperature expression at 18-25°C may improve folding)
For optimal stability and activity of recombinant B. bacteriovorus efp:
Storage: The shelf life depends on multiple factors, including buffer composition and temperature. Generally:
Liquid form: 6 months at -20°C/-80°C
Lyophilized form: 12 months at -20°C/-80°C
Reconstitution protocol:
Recombinant B. bacteriovorus efp can serve as a valuable tool for investigating:
Predatory lifecycle-specific translation: Using the recombinant protein in in vitro translation assays can help determine if efp is particularly important for synthesizing proteins involved in prey invasion and utilization.
Comparative studies: Reconstituting translation systems with efp from B. bacteriovorus versus non-predatory bacteria can reveal mechanistic differences in translation control.
Ribosome binding assays: Experiments comparing the affinity of B. bacteriovorus efp for ribosomes during different stages of the predatory lifecycle may reveal regulatory mechanisms .
Particularly valuable would be studying whether efp plays a role in the rapid protein synthesis required during the transition from attack phase to growth phase, when B. bacteriovorus must quickly adapt its proteome after invading prey .
Based on proteome analysis of B. bacteriovorus lifecycle stages, researchers can track expression patterns of translation factors like efp. A methodological approach would include:
Synchronize cultures of B. bacteriovorus using established protocols with prey bacteria (e.g., E. coli ML35)
Sample at defined timepoints representing different lifecycle stages:
Attack phase (free-swimming predators)
Early invasion (1 hour post-mixing)
Growth phase (2 hours post-mixing)
Late growth/septation (3 hours post-mixing)
Extract RNA for semi-quantitative RT-PCR or total protein for proteomic analysis
Normalize expression levels to constitutively expressed reference genes (e.g., Bd2400)
This approach allows researchers to determine if efp is differentially regulated during the predatory lifecycle, providing insights into its role in the rapid adaptation required during predation .
When designing experiments to study B. bacteriovorus efp function:
Positive controls:
Include well-characterized efp from model organisms (e.g., E. coli)
Test translation of known polyproline-containing substrates
Negative controls:
Translation reactions without efp
Translation of mRNAs lacking polyproline motifs
Denatured or inactive efp variants
Experimental variables to control:
When conducting translation assays, consider the potential impact of the tags used in recombinant protein production, as these may affect function .
A multi-step validation approach is recommended:
Structural integrity assessment:
Circular dichroism spectroscopy to confirm secondary structure
Size exclusion chromatography to verify monomeric state
Functional assays:
In vitro translation assays using polyproline-containing reporter constructs
Ribosome binding studies to confirm interaction with bacterial ribosomes
Complementation assays in efp-deficient bacterial strains
Activity comparison:
When faced with contradictory results regarding B. bacteriovorus efp function:
Consider lifecycle context: B. bacteriovorus has distinct lifecycle phases (attack phase vs. intraperiplasmic growth phase) that may affect efp function and requirements.
Examine strain differences: Different B. bacteriovorus strains (e.g., HD100 vs. host-independent variants) may show different efp expression patterns or requirements.
Assess experimental conditions: Temperature, pH, and ion concentrations significantly affect B. bacteriovorus metabolism and may influence efp function .
Statistical approach: When analyzing contradictory data, conduct:
Outlier analysis to identify potential experimental anomalies
Multi-factorial analysis to identify interaction effects between variables
Meta-analysis if multiple datasets are available
Validate with multiple techniques: If contradictory results persist, use complementary experimental approaches (e.g., both in vitro and in vivo studies) .
Advanced techniques for studying efp interactions include:
Cryo-electron microscopy (cryo-EM): Can visualize efp-ribosome complexes at near-atomic resolution, particularly valuable given the recent advances in imaging the B. bacteriovorus lifecycle at nanometer-scale resolution .
Ribosome profiling: Can identify specific mRNAs whose translation is most dependent on efp in B. bacteriovorus.
Crosslinking mass spectrometry: Can map the interaction interfaces between efp and other components of the translational machinery.
Fluorescence microscopy with tagged efp: Can track the localization of efp during different stages of the predatory lifecycle, similar to approaches used for other B. bacteriovorus proteins .
Genetic approaches:
Elongation factor P research may contribute to the development of B. bacteriovorus as a living antibiotic in several ways:
Understanding growth regulation: Since efp is critical for translation of specific proteins, it may be involved in regulating the transition between attack phase and growth phase in the predatory lifecycle.
Optimizing recombinant strain development: Knowledge of efp function could inform genetic engineering strategies to enhance predatory activity or target specificity.
Metabolic insights: Studies of translation factors like efp can reveal how B. bacteriovorus efficiently converts prey resources into its own biomass, which is essential for its therapeutic potential .
Predation efficiency markers: Expression levels of efp and other translation factors could serve as indicators of predatory fitness when evaluating engineered strains .
Research into translation factors could ultimately help address practical challenges in developing B. bacteriovorus for therapeutic applications, particularly in optimizing growth conditions and predatory efficiency .
To investigate how efp affects predation efficiency:
Gene expression modulation:
Predation assay protocol:
Comparative analysis:
Compare wild-type vs. efp-modulated strains
Assess predation under varied conditions (temperature, pH, oxygen availability)
Analyze data using predation efficiency metrics:
| Strain | Prey Clearance Rate | Progeny Yield | Invasion Time |
|---|---|---|---|
| Wild-type | Baseline | Baseline | Baseline |
| efp-enhanced | Measure % change | Measure % change | Measure % change |
| efp-reduced | Measure % change | Measure % change | Measure % change |
Molecular analysis: