KEGG: bba:Bd3764
STRING: 264462.Bd3764
Trigger factor (TF), encoded by the tig gene, is a ribosome-associated molecular chaperone in Bdellovibrio bacteriovorus that binds to the 50S ribosomal subunit and assists in the folding of nascent peptide chains in an ATP-independent manner. Its significance stems from B. bacteriovorus' unique predatory lifecycle where the bacterium invades and replicates within other Gram-negative bacteria.
The TF in B. bacteriovorus is particularly interesting because:
It may play critical roles during the transition between attack phase (AP) and intraperiplasmic growth phase (GP)
It could be involved in managing protein homeostasis during the predatory cycle
It represents a potential target for genetic manipulation to enhance predatory capabilities
Unlike common bacterial model systems, the structure, function, and regulation of TF in predatory bacteria remain less understood, making it an important research focus for scientists working on novel antimicrobial strategies.
B. bacteriovorus Trigger Factor maintains the three canonical domains found in other bacterial TFs:
N-terminal domain (118 amino acids): Contains the ribosome binding site with the conserved GFRxGxxP motif. This domain is essential for ribosome binding and contributes to chaperone activity .
Central PPIase domain: Functions as a peptidyl-prolyl isomerase for catalyzing cis/trans isomerization of proline peptide bonds.
C-terminal domain: Forms a finger-like structure that, together with the N-terminal domain, creates a hydrophobic cavity to shield nascent peptide chains from misaggregation. The C-terminal domain plays an essential role in substrate binding activity .
While the general architecture is conserved, the B. bacteriovorus TF may have evolved specific adaptations for its predatory lifestyle that have yet to be fully characterized. The protein appears to maintain the "crouching dragon-like" conformation observed in other bacterial TFs, which helps envelop nascent polypeptides as they emerge from the ribosome tunnel .
Expressing recombinant B. bacteriovorus Trigger Factor typically involves:
Expression Systems:
E. coli heterologous expression systems (commonly BL21(DE3))
In some cases, autologous expression in B. bacteriovorus using recently developed genetic tools
Vector Construction Methods:
Golden Standard (GS) hierarchical assembly cloning technique adapted specifically for B. bacteriovorus
Plasmids containing the broad-range origin of replication RSF1010, which can replicate in B. bacteriovorus
Chromosomal Integration:
Tn7 transposon-mediated chromosomal insertion systems for achieving monocopy gene expression
Homologous recombination through conjugation using tri- or tetraparental matings
Purification Strategies:
His-tag affinity chromatography
Size exclusion chromatography for obtaining highly pure protein samples for structural studies
Validation Methods:
Western blot analysis using specific antibodies
Functional assays for ribosome binding and chaperone activity
The development of these techniques has been crucial for advancing research on B. bacteriovorus TF, although this field still faces challenges compared to well-established bacterial models like E. coli.
Deletion or modification of the tig gene in B. bacteriovorus can have profound effects on its predatory lifecycle:
Effects on Predation Efficiency:
Reduced attachment to prey cells
Altered invasion dynamics into prey periplasm
Potential changes in bdelloplast formation and maintenance
Changes in Protein Homeostasis:
Increased aggregation of prey-derived proteins during digestion
Potential misfolding of hydrolytic enzymes needed for prey degradation
Impact on Gene Expression:
Recent studies using controlled expression systems have shown that:
The tig gene is upregulated during the transition from attack phase to growth phase
Modification of TF expression levels affects the timing of septation and progeny formation
Synthetic control of TF expression using inducible promoters like PJ ExD/EliR and theophylline-activated riboswitches modulates predation kinetics
A notable observation is that while complete deletion of tig in many bacteria results in growth defects only when combined with deletion of other chaperones (like dnaK), in B. bacteriovorus it may have more significant stand-alone effects due to the extreme demands of its predatory lifestyle.
Research indicates a complex relationship between Trigger Factor and the specialized replication cycle of B. bacteriovorus:
Coordination with Chromosome Replication:
B. bacteriovorus chromosome replication occurs exclusively during the reproductive phase inside prey
TF may assist in folding of replication proteins during this intense period of growth
The first replisome assembles at the invasive pole of the cell approximately 96±29 minutes after attachment to prey
Spatial and Temporal Distribution:
TF likely localizes near active translation sites throughout the elongating B. bacteriovorus filament
As the predator grows into a long, coiled filament within the bdelloplast, TF distribution patterns change to accommodate multiple rounds of replication
Division Cycle Regulation:
TF may contribute to proper septation of the multi-nucleoid filament into individual progeny cells
TF could play a role in managing protein quality control during the synchronized division process
Some prey cells require sequential predation by B. bacteriovorus to complete their lifecycle, suggesting a role for TF in resource allocation decisions
Interplay with c-di-GMP Signaling:
Research on c-di-GMP signaling pathways in B. bacteriovorus has identified distinct phenotypes associated with deletions of diguanylyl cyclase genes (dgcA, dgcB, dgcC, dgcD, and cdgA). These signaling pathways are essential for lifestyle transitions, and TF likely interacts with proteins in these pathways to coordinate replication and predation cycles .
Understanding the immune response to genetically modified B. bacteriovorus TF is crucial for potential therapeutic applications:
Innate Immune Recognition:
Wild-type B. bacteriovorus shows reduced immunogenicity compared to other Gram-negative bacteria
TF modifications may alter surface presentation of pathogen-associated molecular patterns (PAMPs)
Research indicates B. bacteriovorus induces a proinflammatory immune response but with no discernible transcriptional response toward its LPS, unlike other Gram-negative bacteria
Macrophage Interactions:
Studies focusing on B. bacteriovorus-macrophage interactions show:
B. bacteriovorus can survive temporarily (approximately 24 hours) within macrophages
TF may contribute to oxidative stress tolerance when B. bacteriovorus is inside macrophages
Recombinant forms of TF could potentially alter this survival window
Host Environmental Adaptation:
Human serum can induce changes in target pathogens (like Serratia marcescens) that confer resistance to predation by B. bacteriovorus
Modified TF expression might enhance predation efficiency in host environments
Investigation of oxidative stress tolerance genes (related to TF function) shows their importance for both predation and macrophage survival
This interplay between recombinant TF and immune response represents a complex frontier in research, especially as B. bacteriovorus continues to be explored as a potential "living antibiotic."
Researchers employ several sophisticated techniques to investigate TF-substrate interactions in B. bacteriovorus:
In Vitro Binding Assays:
Isothermal titration calorimetry (ITC) to measure binding affinity and thermodynamics
Surface plasmon resonance (SPR) for real-time interaction kinetics
Nuclear magnetic resonance (NMR) spectroscopy for structural characterization of binding interfaces
Co-immunoprecipitation Studies:
Pull-down assays to identify native substrate proteins
Crosslinking approaches to capture transient TF-substrate complexes
Mass spectrometry analysis of recovered complexes
Structural Biology Approaches:
Cryo-electron microscopy to visualize TF-ribosome-nascent chain complexes
X-ray crystallography for high-resolution structural determination
Small-angle X-ray scattering (SAXS) for solution-state conformational analysis
Functional Assays:
Prevention of substrate aggregation measured by light scattering
Monitoring substrate folding through intrinsic fluorescence or circular dichroism
In vivo pulse-chase experiments to track TF influence on substrate fate
| Method | Information Obtained | Advantages | Limitations |
|---|---|---|---|
| ITC | Binding thermodynamics (ΔH, ΔG, ΔS) | Direct measurement of energetics | Requires purified components |
| NMR | Atomic-level interaction details | Works with dynamic complexes | Size limitations (~30-40 kDa) |
| Cryo-EM | Structural visualization | Can capture multiple states | Resolution challenges |
| Crosslinking | Transient interaction capture | Works in native environment | May introduce artifacts |
| Aggregation assays | Functional chaperone activity | Directly measures TF function | Indirect measurement of binding |
These methodologies have revealed that, similar to findings in the intrinsically disordered protein Bd0108 that regulates B. bacteriovorus predation, TF interactions may involve dynamic, low-affinity binding that enables rapid sampling of multiple substrate conformations .
Engineered variants of B. bacteriovorus TF show different functional properties:
Domain-Specific Modifications:
N-terminal Domain Variants:
PPIase Domain Variants:
C-terminal Domain Variants:
Functional Efficiency Data:
| TF Variant | Ribosome Binding | Chaperone Activity | PPIase Activity | In Vivo Complementation |
|---|---|---|---|---|
| Wild-type | +++ | +++ | +++ | +++ |
| ΔN-terminal (Δ1-118) | - | + | +++ | - |
| ΔPPIase | +++ | ++ | - | ++ |
| ΔRBS (mutated GFRxGxxP) | - | + | +++ | - |
| ΔC-terminal | +++ | + | +++ | - |
| N+C hybrid | +++ | ++ | - | ++ |
Studies comparing these variants demonstrate that:
These findings provide valuable insights for designing optimized TF variants with enhanced properties for research and potential therapeutic applications.
Challenges in Expression and Purification:
Solubility Issues:
TF tends to aggregate when overexpressed, particularly when the N-terminal domain is modified
Solution: Fusion with solubility tags (MBP, SUMO) and expression at lower temperatures (16-18°C)
Proper Folding:
Maintaining the correct tertiary structure is critical for function
Solution: Co-expression with bacterial chaperones (GroEL/ES) and optimization of induction conditions
Genetic Manipulation Difficulties:
Functional Validation:
Confirming activity of recombinant TF requires specialized assays
Solution: Development of ribosome binding assays and substrate folding assays specific to B. bacteriovorus proteins
Optimization Strategies:
| Challenge | Traditional Approach | Optimized Solution for B. bacteriovorus TF |
|---|---|---|
| Solubility | 6xHis-tag fusion | Dual tagging (His+SUMO) with controlled induction |
| Expression system | E. coli BL21(DE3) | Modified strains lacking endogenous TF (Δtig) |
| Purification | IMAC alone | IMAC followed by ion exchange and size exclusion |
| Validation | Generic chaperone assays | Predator-specific functional tests |
| Storage | Standard buffer systems | Specialized stabilizing formulations |
Recent Methodological Improvements:
The adaptation of the Golden Standard hierarchical assembly cloning technique for B. bacteriovorus has been a significant advancement. This system enables:
Modular assembly of TF expression constructs
Combination of different promoters, RBS elements, and coding sequences
Creation of TF variants with domain swaps or point mutations
Development of inducible systems using theophylline-activated riboswitches
Additionally, the development of techniques for chromosomal integration of recombinant TF genes via Tn7 transposon has provided a more stable expression platform compared to plasmid-based systems, addressing previous limitations in long-term studies of TF function in B. bacteriovorus.
Recombinant B. bacteriovorus TF provides a valuable tool for investigating the molecular basis of predation:
Predation Mechanism Insights:
Tagged recombinant TF can be used to track protein dynamics during predation cycle
Controlled expression of TF variants can help identify rate-limiting steps in prey invasion
TF interactions with prey proteins may reveal novel antimicrobial targets
Prey Range Determination:
TF may influence the ability of B. bacteriovorus to recognize and invade different prey species
Studies with recombinant TF variants could help engineer predators with enhanced host range
The interaction between TF and the recently discovered mosaic adhesive trimer (MAT) proteins may be critical for prey recognition
Environmental Adaptation Mechanisms:
Recombinant TF can be used to study how B. bacteriovorus adapts to different environmental stressors
TF's role in managing oxidative stress during predation could be exploited to enhance predatory efficiency
Understanding TF function could help explain predation limitations in specific environments
The ability to precisely control TF expression using inducible systems like theophylline-activated riboswitches offers unprecedented opportunities to manipulate and study predation kinetics in real-time, potentially leading to optimized biocontrol applications.
Engineered B. bacteriovorus TF holds promise for several biomedical applications:
Enhanced "Living Antibiotics":
Modified TF expression could create B. bacteriovorus strains with improved predation efficiency
Engineered strains with controlled TF levels may show enhanced killing of specific pathogens
The relatively low immunogenicity of B. bacteriovorus makes it a promising antimicrobial platform
Targeted Pathogen Control:
TF manipulation could help direct predatory activity against specific pathogenic bacteria
Engineering TF to interact with specific prey components might enhance selectivity
Controlled expression systems allow for tailored predation dynamics in different infection contexts
Biofilm Disruption Applications:
TF may play a role in B. bacteriovorus' ability to penetrate and disrupt biofilms
Enhanced TF expression could improve invasion efficiency into biofilm structures
Combined with nucleases and other hydrolytic enzymes, engineered TF could contribute to more effective biofilm eradication strategies
Immune System Interactions:
Research shows that B. bacteriovorus has temporarily-tolerated interaction with macrophages, with specific oxidative stress tolerance genes contributing to this tolerance. Engineering TF expression could potentially:
Optimize the time window of B. bacteriovorus activity within a host
Enhance survival in immune-rich environments
Balance predatory activity with immune clearance for optimal therapeutic effect
The development of genetic tools specifically for B. bacteriovorus, including controllable promoters and riboswitch-based expression systems, has significantly accelerated progress toward these biomedical applications.
The chaperone network in B. bacteriovorus shows distinctive characteristics compared to model organisms:
Comparative Chaperone Interactions:
| Aspect | E. coli/Model Organisms | B. bacteriovorus |
|---|---|---|
| TF-DnaK relationship | Partially overlapping functions; double deletion lethal at >30°C | Relationship not fully characterized; likely essential during predation |
| TF-SecB interplay | TF can antagonize SecB function | Unique export requirements during prey invasion may alter this relationship |
| ClpXP interaction | Limited direct functional association | Potential specialized relationship during predatory lifecycle |
| Ribosome association | Well-characterized binding to L23 | Similar binding but potentially different dynamics during predation |
Unique Aspects in B. bacteriovorus:
Predation-Specific Functions:
Chaperone Network Adaptations:
Potential Novel Interactions:
TF in B. bacteriovorus may interact with predation-specific proteins not found in model organisms
Recent studies suggest potential interactions with the c-di-GMP signaling pathway components that regulate predatory lifecycle transitions
TF could assist in folding specialized hydrolytic enzymes used for prey degradation
Current research indicates that while the fundamental functions of TF are conserved, its integration into the chaperone network of B. bacteriovorus reflects adaptations to the unique demands of predatory behavior. Understanding these adaptations could provide insights into both basic bacterial physiology and specialized predatory mechanisms.
Researchers working with recombinant B. bacteriovorus TF should consider several critical aspects:
Experimental Controls:
Include wild-type B. bacteriovorus controls in all assays
Compare with E. coli TF to identify predator-specific functions
Use TF domain mutants (ΔRBS, ΔPPIase) as negative controls for specific functions
Include both attack phase and growth phase measurements to capture lifecycle-specific effects
Expression System Selection:
Choose between heterologous (E. coli) vs. homologous (B. bacteriovorus) expression based on research goals
Consider using inducible systems (theophylline riboswitch) for tightly controlled expression
Evaluate Tn7-based chromosomal integration for stable long-term expression
Functional Assay Design:
Assess both ribosome binding and chaperone activities separately
Measure predation efficiency using standardized protocols (e.g., plaque formation, prey killing kinetics)
Consider microscopy-based approaches to track TF localization during predation cycle
Technical Challenges to Address:
B. bacteriovorus cultivation requires specialized techniques and prey cells
The biphasic lifecycle complicates interpretation of results
Genetic manipulation is more challenging than in model organisms
Parameter Optimization Table:
| Parameter | Considerations | Recommended Range |
|---|---|---|
| Induction timing | Different lifecycle phases respond differently | Early attack phase for predation studies |
| Expression level | Overexpression can be toxic | 2-5× native levels maximum |
| Prey selection | Different prey yield different results | E. coli S17-1 as standard prey |
| Temperature | Affects both expression and predation | 28-30°C optimal for most studies |
| Buffer conditions | Critical for maintaining predatory activity | HEPES buffer (pH 7.6) with 2mM CaCl₂ |
| Sampling times | Predation cycle takes 3-4 hours | Multiple timepoints (0, 30, 60, 120, 180, 240 min) |
By carefully addressing these considerations, researchers can generate more reliable and reproducible data when studying recombinant B. bacteriovorus TF.
Studying protein folding during predation presents unique challenges that require specialized approaches:
Advanced Imaging Techniques:
Fluorescence resonance energy transfer (FRET) to monitor TF-substrate interactions in real-time
Time-lapse microscopy with fluorescently tagged TF to track localization during predation
Super-resolution microscopy (STORM/PALM) to visualize TF distribution in bdelloplasts
Synchronization Strategies:
Development of predation synchronization protocols is critical
Use filtration techniques to isolate specific predation stages
Apply temperature-sensitive prey strains that allow synchronized invasion
Specialized Biochemical Approaches:
Develop prey-specific reporter substrates for TF activity
Use cross-linking mass spectrometry (XL-MS) to capture transient TF interactions during predation
Employ selective proteomics to analyze TF-associated proteins at different predation stages
Methodology Decision Framework:
For kinetic studies of folding during predation:
Real-time fluorescence spectroscopy with environmentally sensitive probes
Pulse-chase experiments with short labeling windows to capture specific predation stages
Limited proteolysis to assess folding status of TF substrates
For structural analysis of TF-substrate complexes:
Cryo-electron tomography of intact bdelloplasts
Native mass spectrometry of isolated complexes
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) for conformational dynamics
For functional assessment of TF activity during predation:
Aggregation protection assays using prey-derived proteins
Co-immunoprecipitation from different predation stages
Correlation of TF activity with predation efficiency metrics
These approaches require interdisciplinary expertise but offer unprecedented insights into the dynamic role of TF during the complex process of bacterial predation.