Recombinant Flagellar Assembly Factor FliW2, often referred to as FliW2, is a protein involved in the assembly and regulation of bacterial flagella. Specifically, it plays a crucial role in the motility of bacteria such as Helicobacter pylori. This article will delve into the structure, function, and recent research findings related to FliW2.
FliW2 is a flagellar assembly factor that interacts with other proteins to regulate flagellar biosynthesis. Recent studies have shown that FliW2 directly interacts with the post-transcriptional global regulator CsrA, affecting its activity and thereby influencing flagellar motility . The interaction between FliW2 and CsrA involves specific regions of both proteins, with the C-terminal extension of CsrA being crucial for this interaction .
FliW2 is essential for maintaining the motility of Helicobacter pylori. The deletion of the fliW2 gene results in impaired flagellar filaments and reduced expression of the major flagellin FlaA, leading to diminished bacterial motility . This suggests that FliW2 plays a regulatory role in flagellar assembly and function.
Recent research using AlphaFold2 predictions and bacterial two-hybrid systems has identified the critical regions involved in the FliW2-CsrA interaction. The C-terminal extension of CsrA is essential for this interaction, and specific residues in both proteins are crucial for binding .
| Aspect | Description |
|---|---|
| Function | Regulates flagellar assembly and motility by interacting with CsrA. |
| Interaction with CsrA | Forms heterodimers with CsrA, preventing CsrA from binding to target mRNAs. |
| Effect on Motility | Deletion of fliW2 impairs flagellar filaments and reduces FlaA expression, leading to decreased motility. |
| Critical Regions | C-terminal extension of CsrA is crucial for interaction with FliW2. |
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KEGG: wsu:WS1974
STRING: 273121.WS1974
FliW2 is a protein that functions as a flagellar assembly factor in bacteria, particularly well-characterized in Helicobacter pylori. It acts as a protein antagonist that directly interacts with the global posttranscriptional regulator CsrA. Through this interaction, FliW2 prevents CsrA from binding to target mRNAs such as flagellin transcripts (including flaA mRNA), effectively de-repressing flagellar motility. The mechanism involves FliW2 binding to CsrA to form heterodimers, which prevents CsrA from forming homodimers that would otherwise bind to and repress target transcripts .
While both FliW1 and FliW2 are flagellar assembly factors, they exhibit distinct structural characteristics and potentially different regulatory functions. In H. pylori, FliW2 (UniProt ID: Q9ZJL5) has been demonstrated to interact directly with CsrA and influence flagellar motility. Comparative sequence analysis and structural predictions using tools like ColabFold with AlphaFold2 algorithm reveal differences in their protein structures. FliW2 contains specific β-barrel regions that form a cleft predicted to interact with CsrA, which may not be present or functionally equivalent in FliW1 (UniProt ID: Q9ZK60). This structural divergence suggests distinct evolutionary roles in flagellar regulation systems across bacterial species .
Experimental evidence for FliW2's role in flagellar motility comes from multiple approaches:
Knockout studies: ΔfliW2 mutant strains demonstrate reduced expression of major flagellin FlaA, impaired flagellar filaments, and attenuated motility compared to wild-type bacteria.
Protein interaction assays: Direct interaction between FliW2 and CsrA has been demonstrated through bacterial two-hybrid analysis and in vitro pull-down assays.
Structural predictions and validations: AlphaFold2 predictions identified specific interacting regions between FliW2 and CsrA, which were subsequently validated through truncation experiments.
Functional regulation assessment: Studies show that FliW2 allosterically antagonizes CsrA activity, preventing it from binding to flaA mRNAs, thus indirectly promoting flagellin expression and flagellar assembly .
To create effective recombinant FliW2 expression systems, researchers should consider the following methodological approach:
Gene selection and optimization: Identify the complete fliW2 gene sequence from your bacterial species of interest (e.g., H. pylori strain J99, genome accession number: NC_000921.1).
Expression vector design: Select an appropriate expression vector with:
Inducible promoter (e.g., T7 or tac)
Affinity tag (His6, GST, or MBP) for purification
Appropriate antibiotic resistance markers
Consideration of N- or C-terminal tag placement based on predicted structural domains
Expression conditions optimization:
Test multiple expression strains (BL21(DE3), Rosetta, Arctic Express)
Vary induction parameters (temperature: 16-37°C; IPTG concentration: 0.1-1.0 mM)
Consider auto-induction media for high-density cultures
Protein solubility enhancement:
Co-expression with chaperones
Fusion with solubility enhancers (SUMO, thioredoxin)
Addition of stabilizing agents (glycerol, arginine) to lysis buffers
Purification strategy:
Implement a multi-step purification approach
Include tag removal by specific proteases
Validate protein identity by mass spectrometry
Assess protein folding by circular dichroism
This approach ensures production of functional recombinant FliW2 suitable for downstream interaction studies and structural analysis .
Designing effective in-frame deletion mutations of fliW2 requires a carefully planned approach:
Strategic deletion design:
Map functional domains using protein prediction tools
Design deletions that preserve reading frame of downstream genes
Retain 5-10 codons at N- and C-termini to minimize polar effects
Primer design for mutagenesis:
For inverse PCR approach: Design complementary primers that flank but exclude the region to be deleted
Include restriction sites for marker cassette insertion if needed
Verify primer specificity using in silico PCR tools
Construction procedure:
Amplify ~1.5 kb fragment containing fliW2 and flanking sequences (~750 bp upstream and downstream)
Clone into appropriate vector (e.g., pGEMTeasy)
Perform inverse PCR to create the deletion
Insert selectable marker (e.g., chloramphenicol resistance cassette)
Transformation and selection:
Transform constructed deletion vector into target bacteria via natural transformation or electroporation
Select transformants using appropriate antibiotics
Confirm recombination by PCR, Southern blotting, and DNA sequencing
Validation of non-polar effects:
Perform RT-qPCR of flanking genes to verify absence of polar effects
Complement the mutation with wild-type gene on separate vector
Compare phenotypes of wild-type, mutant, and complemented strains
This systematic approach minimizes unintended consequences while enabling clear interpretation of FliW2 function in flagellar assembly .
When designing experiments to study FliW2-CsrA interactions, researchers must carefully control these critical variables:
| Variable Category | Specific Variables | Control Methods |
|---|---|---|
| Protein-related | - Protein concentration - Protein purity - Post-translational modifications - Proper folding | - Quantify proteins using multiple methods (BCA, Bradford) - Assess purity by SDS-PAGE and mass spectrometry - Use freshly purified proteins - Confirm activity through functional assays |
| Buffer conditions | - pH - Ionic strength - Temperature - Reducing agents | - Maintain consistent buffer composition - Use temperature-controlled environments - Include appropriate controls for each condition tested |
| Interaction detection | - Assay sensitivity - Non-specific binding - Assay interference | - Include negative controls (e.g., unrelated proteins) - Use multiple detection methods (e.g., BACTH, pull-down) - Validate with orthogonal approaches |
| Structural elements | - Truncation boundaries - Tag interference - Allosteric effects | - Design truncations based on structural predictions - Test both N- and C-terminal fusion constructs - Validate with tag-free proteins when possible |
| Experimental design | - Independent variable (protein variants) - Dependent variable (interaction strength) - Control variables (all other conditions) | - Use systematic experimental design - Include biological and technical replicates - Randomize sample order to minimize batch effects |
Controlling these variables ensures reproducible and interpretable results when investigating the molecular mechanisms of FliW2-CsrA interaction .
The C-terminal extension of CsrA plays a critical role in mediating its interaction with FliW2, as revealed through both computational predictions and experimental validation:
AlphaFold2 structural predictions identified that the C-terminal extension helix–loop–helix (residues 55–76) of CsrA forms a specific interaction interface with the β-barrel region of FliW2. This interaction domain is distinct from CsrA's N-terminal RNA binding domain, suggesting an allosteric regulatory mechanism.
Systematic truncation experiments provide compelling evidence for the importance of this C-terminal region. Using bacterial two-hybrid analysis with T25-fused FliW2 and T18-fused CsrA truncation variants, researchers demonstrated that:
Full-length CsrA and variants with minor C-terminal truncations (CsrA 1-72, CsrA 1-63) maintained binding capacity with FliW2.
More extensive C-terminal truncations (CsrA 1-58, CsrA 1-54) eliminated FliW2 binding, as evidenced by significantly reduced β-galactosidase activity compared to negative controls.
This region-specific interaction creates a regulatory mechanism where FliW2 binding does not directly compete with RNA for the same binding site on CsrA, but instead causes allosteric changes that prevent CsrA from binding to target mRNAs like flaA. This allosteric antagonism represents a sophisticated control mechanism for bacterial flagellar biosynthesis .
For predicting FliW2-protein interactions, a multi-layered computational approach incorporating the following methods has proven most effective:
Deep learning structural prediction:
AlphaFold2 implementation through ColabFold has demonstrated high accuracy in predicting FliW2-CsrA interactions
The procedure employs MMseqs2 for homology searches against UniRef30, PDB70, and environmental databases
This approach successfully identified the β-barrel region of FliW2 as forming a cleft that interacts with CsrA's C-terminal extension
Multiple sequence alignment analysis:
Using tools like CLC Genomic Workbench to align FliW homologs across bacterial species
Identifying conserved residues that may represent functional interaction sites
Comparing alignment patterns between FliW1 and FliW2 to distinguish unique binding interfaces
Molecular dynamics simulations:
Validating predicted interaction interfaces through energy minimization
Assessing stability of proposed protein-protein complexes
Identifying potential conformational changes upon binding
RNA structure prediction:
Tools like UNAFold Web Server for RNA secondary structure prediction
Essential for understanding how FliW2-CsrA interaction affects CsrA binding to mRNA targets
Particularly relevant for analyzing the 5'UTR of flaA mRNA and CsrA binding motifs
Integration of these computational approaches provides researchers with testable hypotheses about critical residues and conformational changes involved in FliW2-protein interactions, which can then be experimentally validated through site-directed mutagenesis and interaction assays .
The allosteric antagonism of CsrA by FliW2 involves a sophisticated molecular mechanism:
Binding-induced conformational changes:
FliW2 binds to the C-terminal extension (residues 55-76) of CsrA through its β-barrel region
This interaction induces conformational changes in CsrA's structure
Although the binding does not directly block CsrA's N-terminal RNA binding domain, it alters its configuration
Disruption of CsrA dimerization:
Native CsrA functions as a homodimer to effectively bind target mRNAs
FliW2 binding promotes formation of FliW2-CsrA heterodimers
These heterodimers prevent formation of functional CsrA homodimers needed for RNA binding
Altered RNA binding affinity:
The allosteric changes induced by FliW2 reduce CsrA's affinity for target mRNAs
This prevents CsrA from binding to critical sequences like the 5'UTR of flaA mRNA
As a result, ribosomes can access the ribosome binding sites that would otherwise be blocked by CsrA
Competitive binding equilibrium:
A dynamic equilibrium exists between FliW2-CsrA complexes and CsrA-mRNA complexes
This creates a responsive regulatory system that can adapt to changing cellular conditions
When FliW2 levels increase, CsrA activity is inhibited, promoting flagellar gene expression
This allosteric mechanism represents an elegant regulatory strategy that allows bacteria to fine-tune flagellar gene expression without directly competing for the same binding sites on the global regulator CsrA .
Detecting weak or transient FliW2-CsrA interactions requires specialized approaches to enhance sensitivity and specificity:
Crosslinking strategies:
Implement chemical crosslinking with optimized bifunctional reagents (DSS, formaldehyde)
Use photo-activatable crosslinkers for site-specific interaction analysis
Apply crosslinking prior to cell lysis to capture transient interactions
Analyze crosslinked products by immunoblotting or mass spectrometry
Enhanced two-hybrid systems:
Optimize the Bacterial Adenylate Cyclase-based Two-Hybrid (BACTH) system by:
Testing both N- and C-terminal fusion orientations
Using split-reporter systems with enhanced sensitivity
Implementing low-temperature incubation (25-30°C) to stabilize interactions
Adjusting inducer concentrations to optimize protein expression levels
Advanced biophysical methods:
Surface Plasmon Resonance (SPR) with regeneration optimization
Microscale Thermophoresis (MST) for solution-based interaction analysis
Bio-Layer Interferometry (BLI) with extended association phases
Isothermal Titration Calorimetry (ITC) with concentrated protein samples
Proximity-based detection methods:
Bioluminescence Resonance Energy Transfer (BRET)
Fluorescence Resonance Energy Transfer (FRET)
Split luciferase complementation assays
Proximity ligation assays for detecting interactions in situ
Native detection systems:
Co-immunoprecipitation with optimized gentle lysis conditions
Sequential epitope tag purification for higher specificity
Mass spectrometry analysis with targeted multiple reaction monitoring
By implementing these advanced methodologies, researchers can overcome sensitivity limitations and successfully detect weak or transient interactions between FliW2 and CsrA proteins that might be missed by standard techniques .
When facing challenges with recombinant FliW2 solubility and stability, researchers should implement this systematic troubleshooting approach:
Expression optimization:
Reduce induction temperature (16-20°C) to slow protein folding
Decrease inducer concentration (0.1-0.5 mM IPTG) to reduce expression rate
Test auto-induction media for gradual protein expression
Evaluate specialized expression strains (Arctic Express, Rosetta-gami)
Buffer optimization:
Screen various pH conditions (pH 6.0-8.5) to find stability optima
Test stabilizing additives:
Osmolytes: glycerol (5-20%), sucrose (5-10%)
Amino acids: arginine, proline (50-200 mM)
Detergents: non-ionic (0.01-0.1% Triton X-100, NP-40)
Salt concentration variations (100-500 mM NaCl)
Fusion tag strategies:
Implement solubility-enhancing fusion partners:
MBP (Maltose-Binding Protein)
SUMO (Small Ubiquitin-like Modifier)
Thioredoxin (TrxA)
NusA (N-utilization substance protein A)
Test both N-terminal and C-terminal tag positions
Include flexible linkers between tag and FliW2
Co-expression approaches:
Co-express with protein partners (e.g., truncated CsrA domains)
Co-express with molecular chaperones (GroEL/ES, DnaK/J/GrpE)
Implement dual-plasmid systems with tunable expression ratios
Refolding strategies (if inclusion bodies form):
Optimize solubilization in chaotropic agents (6-8 M urea or 4-6 M guanidine HCl)
Implement step-wise dialysis for controlled refolding
Use on-column refolding during affinity purification
Add redox pairs (GSH/GSSG) to facilitate disulfide bond formation
Storage stabilization:
Flash-freeze in liquid nitrogen with cryoprotectants
Test lyophilization with appropriate excipients
Determine optimal storage buffer composition
Evaluate protein stability at different temperatures (-80°C, -20°C, 4°C)
This comprehensive approach addresses the multifaceted challenges in producing stable, soluble recombinant FliW2 for functional and structural studies .
Understanding FliW2 function opens several promising avenues for antimicrobial development:
Targeting bacterial motility:
Flagellar motility is essential for colonization by many pathogens, including H. pylori
Compounds disrupting FliW2 function could impair bacterial motility and reduce virulence
This approach may be particularly valuable against pathogens with increasing antibiotic resistance
Protein-protein interaction inhibitors:
Small molecules designed to interfere with FliW2-CsrA interaction
Peptide mimetics of the FliW2 binding region could competitively inhibit the interaction
Structure-based drug design targeting the β-barrel region of FliW2 or the C-terminal extension of CsrA
Posttranscriptional regulation disruption:
Manipulating CsrA activity through FliW2 targeting could dysregulate multiple virulence factors
This represents a multi-target approach that might reduce the likelihood of resistance development
RNA-protein interaction modulators could complement direct protein-protein interaction inhibitors
Adjuvant therapy potential:
FliW2-targeting compounds might enhance conventional antibiotic efficacy
Immobilizing bacteria through flagellar disruption could increase susceptibility to host immune defenses
Combination therapies targeting both growth and motility pathways may provide synergistic effects
Host-pathogen interaction disruption:
Understanding how flagellar regulation affects host immune response recognition
Development of compounds that enhance pathogen detection by the host immune system
Potential for immunomodulatory approaches based on flagellar protein expression
This research direction offers particular promise for developing narrow-spectrum antimicrobials with reduced selection for resistance compared to conventional antibiotics targeting essential cellular processes .
Despite progress in characterizing FliW2 function, several critical knowledge gaps remain:
Evolutionary conservation and divergence:
Limited understanding of FliW2 functional conservation across diverse bacterial phyla
Unclear evolutionary relationship between FliW1 and FliW2 homologs
Insufficient data on species-specific adaptations in FliW2 structure and function
Regulatory network integration:
Incomplete characterization of how FliW2 activity integrates with other flagellar regulatory systems
Limited understanding of environmental signals that modulate FliW2 expression or activity
Gaps in knowledge about potential post-translational modifications affecting FliW2 function
Structural mechanisms:
While AlphaFold2 predictions provide insights, high-resolution crystal structures of FliW2-CsrA complexes are lacking
Conformational dynamics during binding events remain poorly characterized
Molecular basis for allosteric regulation needs further elucidation
Temporal regulation:
Limited understanding of the dynamics of FliW2-CsrA interactions during flagellar assembly
Unclear how FliW2 contributes to the sequential assembly of flagellar components
Insufficient data on the temporal coordination with flagellar gene expression
Additional protein partners:
Potential for FliW2 to interact with proteins beyond CsrA remains largely unexplored
Comprehensive interactome studies are needed across different bacterial species
Functional significance of potential additional interactions requires investigation
In vivo relevance:
Limited in vivo studies connecting molecular mechanisms to bacterial behavior
Insufficient data on the importance of FliW2 during host colonization and infection
Unclear how FliW2 function affects bacterial adaptation to different environments
Addressing these knowledge gaps will require integrated approaches combining structural biology, systems biology, and in vivo models to fully understand FliW2's role in bacterial physiology and pathogenesis .
An optimal experimental design for studying FliW2 function in bacterial pathogenesis requires a multi-faceted approach that integrates molecular, cellular, and in vivo methodologies:
Genetic manipulation strategy:
Create a comprehensive mutation panel:
Complete gene deletion (ΔfliW2)
Point mutations in key functional residues (based on AlphaFold2 predictions)
Domain-specific deletions
Regulated expression systems (inducible/repressible)
Include complementation constructs to confirm phenotype specificity
Develop fluorescently tagged FliW2 variants for localization studies
Molecular characterization:
Assess impact on flagellar gene expression:
Transcriptome analysis (RNA-seq) comparing wild-type and mutants
Targeted qRT-PCR of flagellar gene expression
Protein expression analysis of key flagellar components
Evaluate protein-protein interactions using multiple methods:
Bacterial two-hybrid analysis
Co-immunoprecipitation
Pull-down assays
In situ proximity ligation assays
Cellular phenotype assessment:
Quantitative motility assays:
Soft-agar motility assessment
Video microscopy with automated tracking
Microfluidic-based migration assays
Flagellar structure analysis:
Transmission electron microscopy
Cryo-electron microscopy
Immunofluorescence microscopy
Biofilm formation evaluation
Host interaction studies:
Adhesion assays with relevant cell lines
Invasion assays (if applicable to the pathogen)
Co-culture systems with immune cells
Transepithelial migration assessment
In vivo infection models:
Animal colonization studies comparing wild-type and FliW2 mutants
Competition assays between strains
Tissue-specific bacterial localization
Immune response characterization
Control variables and validation:
Include multiple bacterial strains to confirm generalizability
Use appropriate statistical methods for each experiment type
Perform biological and technical replicates
Include relevant control mutations in other flagellar genes
This comprehensive experimental design enables researchers to connect molecular mechanisms of FliW2 function to bacterial pathogenesis while controlling for confounding variables and ensuring reproducibility .
Effective integration of computational and experimental approaches for FliW2 research follows this iterative workflow:
Initial sequence-based analysis:
Perform comprehensive sequence alignment of FliW2 across bacterial species
Identify conserved domains and residues
Predict secondary structure elements
Generate testable hypotheses about functional regions
Structural prediction and modeling:
Apply AlphaFold2 through ColabFold for high-confidence structure prediction
Perform molecular dynamics simulations to assess structural stability
Identify potential protein-protein interaction interfaces
Model FliW2-CsrA complexes using docking algorithms
Experimental validation of structural features:
Design targeted mutations based on computational predictions
Express and purify recombinant proteins with specific mutations
Assess structural integrity using circular dichroism or limited proteolysis
Validate interaction interfaces using hydrogen-deuterium exchange mass spectrometry
Functional correlation studies:
Test mutation effects on protein-protein interactions using bacterial two-hybrid analysis
Assess impact on flagellar gene expression with reporter constructs
Quantify motility phenotypes with automated tracking systems
Correlate structural perturbations with functional outcomes
Refinement through iterative cycles:
Use experimental data to refine computational models
Generate new predictions based on experimental outcomes
Design next-generation mutations with increased specificity
Develop more sophisticated interaction models
Systems-level integration:
Incorporate FliW2 function into broader flagellar regulatory networks
Develop mathematical models of CsrA-FliW2-RNA interactions
Predict system-wide effects of perturbations
Design experiments to test network-level hypotheses
This integrated approach leverages the strengths of both computational prediction and experimental validation, creating a powerful methodology for understanding FliW2 function at multiple levels of biological organization. The workflow enables researchers to rapidly generate and test hypotheses while maintaining biological relevance and experimental feasibility .