KEGG: pst:PSPTO_0829
STRING: 223283.PSPTO_0829
ClpB functions as an AAA+ ATPase that provides energy for protein secretion via ATP hydrolysis in the bacterial Type VI Secretion System (T6SS) . In P. syringae, ClpB (sometimes named ClpV in P. aeruginosa genome) constitutes a critical component of the secretion machinery that contributes to bacterial virulence during plant infection. Unlike conventional chaperones that primarily assist in protein folding, the ClpB in P. syringae appears specialized for energizing the secretion apparatus, enabling the translocation of effector proteins into host cells. This function places ClpB at the center of pathogenicity mechanisms in this important plant pathogen.
ClpB contributes to virulence through its essential role in the T6SS, which has been revealed as a functional secretion system in P. syringae . The protein enables secretion of Hcp and potentially other virulence factors that facilitate bacterial colonization and infection of plant tissues. Mutation studies have demonstrated that disruption of ClpV (the ClpB homolog) in P. syringae pv. syringae B728a impairs T6SS function, affecting multiple virulence-associated phenotypes including plant colonization . This indicates that the ATPase activity of ClpB is integral to the bacterium's ability to establish successful infections in host plants.
Several methodological approaches have proven effective for studying ClpB expression:
Western blot analysis: Using antibodies specific to ClpB to detect its presence in bacterial lysates and secreted fractions
Quantitative RT-PCR: Monitoring clpB transcript levels under different environmental conditions or in various mutant backgrounds
Reporter gene fusions: Constructing transcriptional or translational fusions between the clpB promoter and reporter genes like lacZ or GFP
RNA-seq analysis: Examining global transcriptional changes to identify conditions affecting clpB expression
These methods can be employed in combination to provide a comprehensive understanding of ClpB expression patterns during infection processes.
ClpB serves as a crucial energizing component of the T6SS, which has been identified as a 29.9-kb gene cluster in the P. syringae pv. syringae B728a genome . Western blot analyses have confirmed that P. syringae secretes Hcp, a T6SS hallmark protein, and this secretion is dependent on ClpV (ClpB homolog) . The T6SS represents a sophisticated protein delivery system that translocates effector proteins directly into other cells. As an AAA+ ATPase, ClpB provides the mechanical force required for the assembly, disassembly, and function of the secretion apparatus through ATP hydrolysis, making it indispensable for T6SS operation.
ClpB expression appears to be under complex regulatory control involving multiple sensor kinase systems. Research has demonstrated that the RetS and LadS sensor kinases reciprocally regulate the T6SS in P. syringae pv. syringae B728a . Additionally, the GacS/GacA two-component system, which is essential for virulence in many plant pathogenic bacteria, influences the expression of numerous virulence factors . The regulation of T6SS components, including ClpB, is likely integrated into these broader signaling networks that respond to environmental cues during the infection process. This regulatory architecture allows the bacterium to coordinate the expression of virulence factors according to specific stages of infection.
ClpB likely participates in complex protein-protein interaction networks beyond its role in the T6SS. As a member of the Clp/Hsp100 family of proteins, ClpB typically functions in conjunction with the DnaK-DnaJ-GrpE chaperone system to resolve protein aggregates under stress conditions. In P. syringae, this interaction network may be particularly important during temperature fluctuations on leaf surfaces or exposure to plant defense compounds. Understanding these interaction networks provides insight into how ClpB contributes to bacterial survival under the variable conditions encountered during plant colonization and infection.
Research indicates that ClpB operates within an integrated virulence network. The RetS and LadS sensor kinases that regulate T6SS also modulate several other virulence-related activities, including swarming motility, exopolysaccharide production, and Type III secretion system (T3SS) gene expression . This suggests coordinated regulation of multiple virulence mechanisms during infection. The table below summarizes known interactions between these regulatory systems and various virulence factors:
| Regulatory System | Affects T6SS/ClpB | Affects T3SS | Affects Motility | Affects EPS Production |
|---|---|---|---|---|
| RetS/LadS | Yes | Yes | Yes | Yes |
| GacS/GacA | Yes | Yes | Yes | Yes |
For optimal expression of recombinant P. syringae ClpB protein, researchers should consider:
Expression vector selection: pET-based vectors with T7 promoter systems often yield high expression levels for bacterial proteins
Host strain optimization: E. coli BL21(DE3) derivatives, particularly those with enhanced rare codon usage or chaperone co-expression
Induction conditions: Lower temperatures (16-20°C) and reduced IPTG concentrations often improve solubility of large ATPases
Solubility enhancement: Addition of fusion tags (His, MBP, SUMO) can improve protein solubility
Buffer optimization: Including ATP or non-hydrolyzable ATP analogs in purification buffers often stabilizes AAA+ ATPases
Careful optimization of these parameters is essential for obtaining sufficient quantities of active protein for biochemical and structural studies.
Researchers can employ several methodologies to quantify ClpB ATPase activity:
Malachite green phosphate assay: Detects inorganic phosphate released during ATP hydrolysis
Coupled enzymatic assays: Links ATP hydrolysis to NADH oxidation, which can be monitored spectrophotometrically
Radioactive assays: Using [γ-32P]-ATP to track phosphate release with high sensitivity
Luciferase-based ATP consumption assays: Measures remaining ATP after incubation with ClpB
For inhibition studies, researchers should:
Establish dose-response curves with potential inhibitors
Determine the mechanism of inhibition (competitive, non-competitive, uncompetitive)
Validate inhibition in bacterial cultures by measuring T6SS function
Several experimental models are suitable for investigating ClpB's contribution to P. syringae pathogenesis:
Tomato plant model: As the natural host for P. syringae pv. tomato, tomato plants provide the most physiologically relevant system
Arabidopsis thaliana: Offers genetic tractability and numerous mutant lines for studying plant-pathogen interactions
Bean plants: Used for P. syringae pv. syringae studies and allows comparative analysis across pathovars
Experimental approaches include:
Spray inoculation to assess natural infection processes requiring bacterial entry
Direct infiltration to bypass entry requirements and focus on in planta growth
Measurement of bacterial population dynamics in planta
Assessment of disease symptom development over time
Microscopy to visualize bacterial colonization patterns
Effective strategies for ClpB mutational analysis include:
Targeted mutagenesis approaches:
Site-directed mutagenesis of conserved Walker A and B motifs essential for ATP binding and hydrolysis
Domain deletion constructs to assess the contribution of individual protein domains
Chimeric proteins combining domains from different species to identify host-specific adaptations
Validation methodologies:
Robust data analysis for ClpB expression studies should incorporate:
Normalization strategies:
Use multiple reference genes with proven stability under experimental conditions
Apply appropriate normalization methods for RNA-seq data (e.g., TPM, RPKM, or DESeq2 normalization)
Statistical approaches:
ANOVA for multi-factor experimental designs
Time-series analysis for infection progression studies
Correlation analyses to identify co-regulated genes
Integration with other datasets:
Combine transcriptomic data with proteomic analyses
Correlate expression with phenotypic measurements
Compare expression patterns across different P. syringae pathovars
Several computational methods provide valuable insights into ClpB structure-function relationships:
Homology modeling: Using crystal structures of related AAA+ ATPases as templates
Molecular dynamics simulations: To predict conformational changes during ATP binding and hydrolysis
Protein-protein docking: To model interactions with other T6SS components
Conservation analysis: Identifying evolutionarily conserved residues crucial for function
Coevolution analysis: Detecting co-evolving residue pairs that might indicate functional interactions
These approaches are particularly valuable when combined with experimental validation through site-directed mutagenesis and functional assays.
Distinguishing direct from indirect effects requires careful experimental design:
Genetic approaches:
Point mutations affecting specific functions (e.g., ATPase activity) without disrupting protein interactions
Conditional expression systems to control timing and level of ClpB expression
Epistasis analysis with mutations in other T6SS components
Biochemical approaches:
In vitro reconstitution of T6SS subassemblies to define direct interactions
Pull-down assays to identify direct binding partners
Time-resolved analyses to establish causality in signaling cascades
In planta approaches:
Microscopy to track localization of fluorescently tagged ClpB during infection
Comparative transcriptomics/proteomics between wild-type and clpB mutants at different infection stages
Comprehensive bioinformatic analysis of ClpB should include:
Sequence alignment and phylogenetic analysis:
Multiple sequence alignment of ClpB homologs across Pseudomonas species
Construction of phylogenetic trees to trace evolutionary relationships
Identification of pathovar-specific sequence features
Domain and motif analysis:
Identification of canonical AAA+ ATPase domains and Walker A/B motifs
Detection of species-specific insertions or deletions
Prediction of post-translational modification sites
Structural bioinformatics:
Secondary structure prediction
Tertiary structure modeling using tools like AlphaFold
Analysis of surface electrostatics to identify potential interaction interfaces
Genomic context analysis:
Examination of operon structure and conservation
Identification of regulatory elements in promoter regions
Comparative analysis of T6SS gene clusters across species