HtpG is a critical component of the heat shock response (HSR) in P. putida, regulated by the alternative sigma factor σ³² (rpoH) . It works in concert with other chaperones like DnaK (Hsp70 family) and GroEL (Hsp60 family) to prevent protein aggregation and facilitate proper folding . Key findings include:
Functional Redundancy: In P. putida, CbpA (a σ³²-dependent Hsp) partially compensates for DnaJ deficiency, suggesting HtpG may interact with alternative co-chaperones .
While specific data on P. putida htpG are sparse, recombinant production typically involves heterologous expression in E. coli or other hosts. Below is a synthesis of available technical details (note: some data derive from P. fluorescens, a related species):
Note: The partial designation indicates truncation of the full-length protein, potentially targeting functional domains (e.g., substrate-binding regions).
HtpG stabilizes nascent polypeptides and refolds denatured proteins via ATP-independent binding . In P. putida, it likely interacts with the DnaK/DnaJ/GrpE system to regulate protein quality control .
Under heat stress (42°C–45°C), HtpG, DnaK, and GroEL are upregulated, forming a coordinated network to protect protein integrity . Mutant studies reveal:
ΔdnaJ Strain: Increased high-molecular-weight aggregates, underscoring HtpG’s role in maintaining solubility .
σ³² Regulation: HtpG expression is tightly linked to σ³² activity, which senses unfolded proteins and autoregulates via negative feedback .
HtpG’s homology to eukaryotic Hsp90 (41% identity with Drosophila Hsp90) suggests conserved mechanisms in protein surveillance. This conservation supports its use as a model for studying chaperone-assisted folding.
Limited Data: Direct studies on P. putida’s recombinant htpG are lacking; most insights derive from native protein studies or heterologous systems.
Species-Specific Roles: P. putida’s HSR differs from E. coli due to divergent σ³² regulation and auxiliary chaperones like CbpA . Further studies are needed to elucidate htpG’s unique interactions.
Biotechnological Potential: Recombinant htpG could enhance heterologous protein solubility in industrial P. putida strains, though optimization of co-chaperone cocktails (DnaK, GroEL) may be required .
Molecular chaperone with ATPase activity.
KEGG: ppu:PP_4179
STRING: 160488.PP_4179
Chaperone protein htpG in Pseudomonas putida functions as a molecular chaperone that assists in protein folding and maintains protein homeostasis, particularly under stress conditions. As a member of the heat shock protein 90 (Hsp90) family, htpG possesses ATPase activity that drives its chaperoning functions . The protein helps maintain cellular integrity by preventing protein misfolding and aggregation, especially during environmental stresses like elevated temperatures. In P. putida, which is known for its metabolic versatility and stress resistance, htpG likely plays a crucial role in adapting to changing environmental conditions by ensuring proper protein folding and function throughout various stress responses.
Chromosomal integration using Tn5-based transposons for stable expression
Selection of strong native promoters (such as ribosomal RNA gene promoters) for constitutive expression
Unidirectional gene expression with proper consideration of transcriptional terminators
This approach allows for stable, high-level expression without requiring external inducers like T7 RNA polymerase, which may be particularly advantageous for larger proteins like htpG .
To confirm the purity and identity of recombinant htpG protein, employ a systematic multi-method approach:
SDS-PAGE analysis: Run the purified protein sample on a discontinuous SDS-PAGE gel (typically using a 5% enrichment gel and 15% separation gel) to verify the expected molecular weight and assess purity. A purity level of >85% is generally considered acceptable for most research applications .
Western blotting: Use antibodies specific to htpG or to any tags incorporated into the recombinant protein construct.
Mass spectrometry: For definitive identification, perform peptide mass fingerprinting or tandem mass spectrometry (MS/MS) analysis.
ATPase activity assay: Since htpG possesses intrinsic ATPase activity, a functional assay measuring ATP hydrolysis can confirm not only identity but also proper folding and activity .
N-terminal sequencing: Confirm the correct sequence of the first 5-10 amino acids to verify proper translation initiation and processing.
For recombinant htpG protein with high purity, typically the major band on SDS-PAGE should appear at the expected molecular mass, with minimal contaminating bands. Records should document the exact range of amino acids expressed (e.g., for partial constructs) and the expression host used.
Optimizing chromosomal integration of the htpG gene in P. putida requires strategic approaches that balance expression levels with genomic stability. Based on successful strategies with other recombinant proteins, the following methodology is recommended:
Transposon-based integration: Utilize Tn5-based transposons for random chromosomal integration, following the workflow established for other heterologous genes in P. putida . This method enables creation of a library of integration variants with potentially different expression levels.
Integration site selection: While random integration via transposons creates variability, targeted approaches can also be employed. The genomic locations adjacent to ribosomal RNA genes have proven particularly effective for high-level constitutive expression in P. putida .
Screening methodology: Develop an efficient screening method to identify optimal integration variants. For htpG, this could involve:
Monitoring protein production levels via fluorescently tagged htpG
Assessing ATPase activity as a functional readout
Measuring growth characteristics under stress conditions where htpG function is critical
Verification of integration sites: For promising clones, employ a plasmid rescue strategy to identify the precise genomic location of integration. This involves:
Post-integration analysis: Assess transcriptional efficiency from different integration sites using RT-qPCR to determine which genomic contexts provide optimal expression levels.
This comprehensive approach enables identification of integration variants with stable, high-level expression without requiring continuous antibiotic selection, making it ideal for long-term research applications.
The structure-function relationship of P. putida htpG aligns with other bacterial heat shock proteins of the Hsp90 family but may exhibit unique adaptations related to P. putida's environmental versatility. While specific structural data for P. putida htpG is limited, comparative analysis with homologous proteins suggests:
Domain organization: P. putida htpG likely contains three functional domains:
N-terminal domain (NTD) with ATPase activity
Middle domain (MD) involved in client protein binding
C-terminal domain (CTD) responsible for dimerization
Sequence conservation: Key functional regions show high conservation across bacterial species. The N-terminal ATPase domain typically contains the ATP-binding pocket with conserved residues essential for nucleotide binding and hydrolysis .
Functional differences: Compared to other bacterial Hsp90 homologs, P. putida htpG may exhibit:
Modified temperature responsiveness aligned with P. putida's environmental adaptability
Potentially broader client specificity to accommodate P. putida's diverse metabolic functions
Altered ATP hydrolysis rates optimized for its ecological niche
The partial htpG construct (amino acids 1-326) would likely encompass the NTD and portions of the MD, capturing the ATPase activity but potentially lacking complete client binding and dimerization capabilities .
| Domain | Approximate Residue Range | Primary Function | Key Conserved Motifs |
|---|---|---|---|
| N-terminal | 1-220 | ATP binding and hydrolysis | GXXGXG ATP-binding motif |
| Middle | 221-500 | Client protein interaction | Amphipathic binding surface |
| C-terminal | 501-670 | Dimerization | MEEVD-like motif |
Understanding these structure-function relationships is crucial for designing partial constructs with specific activities and for interpreting functional assays on recombinant htpG proteins.
Resolving contradictory data on htpG function in stress response pathways requires systematic experimental approaches that integrate multiple levels of analysis:
Genetic approaches:
Generate clean deletion mutants of htpG in P. putida using allelic exchange or CRISPR-Cas9
Create conditional expression strains with titratable promoters
Perform complementation studies with wild-type and mutant htpG variants
Conduct genetic interaction studies with other stress response genes
Biochemical characterization:
Compare the ATPase activity of htpG under various stress conditions (temperature, pH, oxidative stress)
Identify client proteins through co-immunoprecipitation followed by mass spectrometry
Analyze post-translational modifications of htpG during different stress responses
Perform in vitro chaperone activity assays with model substrate proteins
Structural biology:
Obtain crystal structures or use cryo-EM to determine conformational changes under different conditions
Employ hydrogen-deuterium exchange mass spectrometry to map dynamic regions during client binding
Systems biology approaches:
Perform transcriptomics to compare global expression changes in wild-type vs. htpG mutant strains
Use proteomics to identify changes in protein abundance and stability
Employ metabolomics to detect metabolic shifts resulting from htpG dysfunction
In vivo validation:
Develop fluorescent reporters to monitor htpG activity in real-time
Use microfluidics combined with time-lapse microscopy to track single-cell responses
Perform competition assays under various stress conditions
By integrating these approaches, researchers can develop a comprehensive model of htpG function that reconciles seemingly contradictory observations and places htpG within the broader context of cellular stress response networks in P. putida.
The optimal protocol for purifying recombinant P. putida htpG protein involves a multi-step chromatographic approach designed to maximize yield while ensuring high purity and preserved activity:
Expression system selection:
Express in either P. putida KT2440 (for native-like folding) or E. coli (for higher yields)
Incorporate an affinity tag (6xHis or Strep-tag) at either the N- or C-terminus
Include a TEV protease cleavage site if tag removal is desired
Cell lysis:
Harvest cells during late logarithmic phase
Resuspend in buffer containing:
50 mM Tris-HCl, pH 7.5
150 mM NaCl
10% glycerol
5 mM MgCl₂ (to stabilize nucleotide binding)
1 mM DTT or 2 mM β-mercaptoethanol
Protease inhibitor cocktail
Lyse cells using sonication or high-pressure homogenization
Initial affinity purification:
Apply clarified lysate to appropriate affinity resin
For His-tagged constructs, use IMAC (Ni-NTA or Co-based resins)
Wash extensively with buffer containing 20-30 mM imidazole
Elute with buffer containing 250-300 mM imidazole
Secondary purification:
Perform ion-exchange chromatography (typically anion exchange using Q-Sepharose)
Apply sample diluted to reduce salt concentration
Elute using a gradient of 0-500 mM NaCl
Final polishing:
Size-exclusion chromatography using Superdex 200
Buffer composition: 25 mM Tris-HCl pH 7.5, 150 mM NaCl, 5% glycerol, 1 mM DTT
Quality control:
Assess purity by SDS-PAGE (target >85% purity)
Verify identity via mass spectrometry
Confirm activity through ATPase assays
Evaluate oligomeric state using native PAGE or analytical SEC
This protocol typically yields 5-10 mg of purified protein per liter of bacterial culture with >85% purity, suitable for most biochemical and structural studies .
Designing experiments to characterize the client specificity of P. putida htpG requires a comprehensive approach combining in vitro and in vivo methods:
Global client identification:
Perform co-immunoprecipitation of epitope-tagged htpG followed by mass spectrometry
Compare client profiles under normal conditions versus various stresses (heat, oxidative, pH)
Validate interactions using reciprocal pull-downs with identified clients
Create a network map of htpG interactions using bioinformatics tools
In vitro binding assays:
Develop fluorescence-based assays to quantify htpG-client interactions:
Fluorescence anisotropy with labeled model substrates
FRET-based assays between tagged htpG and clients
Measure binding kinetics using surface plasmon resonance (SPR) or bio-layer interferometry (BLI)
Determine the thermodynamics of binding using isothermal titration calorimetry (ITC)
Functional chaperone assays:
Thermal aggregation prevention assays with model substrates (e.g., citrate synthase)
Refolding assays to monitor htpG-assisted recovery of denatured proteins
ATPase activity modulation in response to client binding
Competition assays between different clients to assess preferential binding
Structural characterization of complexes:
Hydrogen-deuterium exchange mass spectrometry to map interaction interfaces
Cryo-EM analysis of htpG-client complexes
Crosslinking mass spectrometry to identify proximal residues
In vivo validation:
Monitor stability of identified clients in wild-type versus htpG deletion strains
Use fluorescence microscopy with split-GFP systems to visualize interactions in live cells
Perform genetic epistasis analyses between htpG and client-encoding genes
| Experimental Approach | Key Information Provided | Technical Considerations |
|---|---|---|
| Co-immunoprecipitation + MS | Global client profile | Requires optimized washing conditions to maintain transient interactions |
| Fluorescence-based binding assays | Binding kinetics and affinity | Labeling may affect interaction properties |
| Thermal aggregation prevention | Functional chaperone activity | Model substrates may not reflect natural clients |
| Cryo-EM of complexes | Structural basis of recognition | Requires stable complex formation |
| Genetic epistasis | In vivo functional relationships | Indirect effects may complicate interpretation |
This systematic approach will provide a comprehensive picture of htpG client specificity and the molecular basis for client recognition in P. putida.
Designing truncated variants of htpG for domain-specific studies requires careful consideration of structural boundaries, functional elements, and expression characteristics:
Domain boundary identification:
Perform bioinformatic analysis using multiple sequence alignments of htpG homologs
Identify conserved domain boundaries based on crystal structures of homologous Hsp90 proteins
Use secondary structure prediction to avoid disrupting structural elements
Consider intrinsically disordered regions as potential flexible linkers
Functional elements to preserve:
N-terminal domain (NTD): Include the complete ATP-binding pocket (approximately aa 1-220)
Middle domain (MD): Maintain intact client-binding regions (approximately aa 221-500)
C-terminal domain (CTD): Preserve the dimerization interface (approximately aa 501-670)
For partial constructs, ensure the protein segment includes complete functional domains
Design strategies for optimal expression:
Add short linkers (3-5 glycine/serine residues) at truncation points
Consider adding stabilizing elements for isolated domains (e.g., dimerization tags for normally dimeric regions)
Optimize codon usage for the expression host
Include solubility-enhancing tags (MBP, SUMO) for challenging constructs
Validation of truncated constructs:
Assess proper folding using circular dichroism spectroscopy
Verify domain-specific activities:
NTD constructs: ATP binding and hydrolysis
MD constructs: Client protein interaction
CTD constructs: Dimerization capacity
Compare thermal stability of truncated variants to full-length protein using differential scanning fluorimetry
Typical truncation points for P. putida htpG:
| Construct | Amino Acid Range | Expected Function | Size (kDa) | Key Considerations |
|---|---|---|---|---|
| NTD | 1-220 | ATP binding/hydrolysis | ~24 | Verify ATPase activity retention |
| NTD-MD | 1-500 | ATP hydrolysis and client binding | ~55 | Maintain interdomain communication |
| MD | 221-500 | Client protein binding | ~31 | May have solubility issues alone |
| MD-CTD | 221-670 | Client binding and dimerization | ~50 | Assess dimerization state |
| CTD | 501-670 | Dimerization | ~19 | Verify oligomeric state |
When designing a partial htpG construct (as described in query), ensure it contains complete functional domains rather than arbitrary fragments. For example, the amino acid range 1-326 would encompass the complete NTD plus a portion of the MD, potentially preserving some but not all client-binding functionality .
P. putida htpG exhibits distinctive features in stress response coordination compared to other bacterial chaperone systems, reflecting this organism's remarkable environmental adaptability:
Integration with stress-specific responses:
Unlike E. coli where the heat shock response dominates htpG regulation, P. putida htpG likely responds to a broader range of stressors (solvent exposure, oxidative stress, temperature fluctuations)
P. putida's htpG may have evolved specialized coordination with detoxification and biodegradative pathways that are central to this organism's ecological niche
Regulatory network differences:
While most bacterial htpG proteins are regulated by the σ32 heat shock sigma factor, P. putida likely incorporates additional regulatory inputs from stress-responsive pathways
The promoter architecture of P. putida htpG may contain binding sites for additional transcription factors related to xenobiotic stress responses
Functional cooperation with other chaperones:
P. putida contains an expanded repertoire of stress-response proteins compared to many bacteria
The htpG system likely shows specialized cooperation with DnaK/DnaJ/GrpE and GroEL/GroES systems tailored to P. putida's environmental challenges
Unique co-chaperones may exist that direct htpG activity toward specific client subsets
Metabolic integration:
P. putida htpG may play a more significant role in maintaining the integrity of metabolic enzymes involved in aromatic compound degradation and other specialized pathways
The chaperone likely contributes to the rapid metabolic adaptability that P. putida exhibits when shifting between carbon sources
This specialized adaptation makes P. putida htpG an interesting model for studying how molecular chaperones evolve to support specific ecological strategies, particularly in bacteria that occupy challenging and variable environmental niches.
Using P. putida as a host for heterologous htpG expression offers several distinct advantages and considerations compared to the more conventional E. coli expression system:
Expression efficiency and protein folding:
P. putida may provide a more native-like folding environment for other Pseudomonad htpG proteins
The GRAS (Generally Recognized As Safe) status of P. putida KT2440 makes it an attractive host for producing proteins for downstream applications
P. putida's robust stress tolerance mechanisms may support higher quality protein production, especially for stress-responsive proteins like htpG
Genetic stability and expression consistency:
Chromosomal integration methods in P. putida provide exceptional stability without antibiotic selection
The random integration approach using transposons allows screening for optimal expression loci
Strong native promoters (like those from ribosomal RNA genes) enable consistent, constitutive expression without requiring induction systems
Post-translational modifications and interactions:
P. putida may provide more appropriate post-translational modifications for htpG proteins from related species
The presence of native P. putida co-chaperones might assist in proper folding of heterologous htpG
Potential interference from endogenous P. putida htpG must be considered, possibly requiring background deletion
Technical considerations and yields:
While E. coli systems are more established with higher initial yields, optimized P. putida systems can achieve comparable productivity
P. putida grows more slowly than E. coli, potentially extending production timelines
Extraction and purification protocols may require optimization specific to P. putida
| Parameter | P. putida | E. coli | Key Considerations |
|---|---|---|---|
| Growth rate | Moderate | Rapid | E. coli reaches higher density faster |
| Expression yield | Good (with optimization) | Very high | E. coli typically offers higher initial yields |
| Protein folding quality | Excellent for Pseudomonad proteins | Variable | P. putida may provide more authentic folding |
| Genetic stability | Excellent with chromosomal integration | Variable with plasmids | P. putida offers superior long-term stability |
| Scalability | Good | Excellent | Both systems are industrially viable |
| Technical complexity | Moderate | Low | E. coli systems are better established |
For researchers prioritizing authentic folding and long-term stability for Pseudomonad htpG proteins, P. putida represents an excellent expression platform, particularly when employing chromosomal integration strategies .
Advanced structural biology techniques provide powerful approaches to decipher the complex conformational dynamics of htpG during its chaperone cycle:
Time-resolved cryo-electron microscopy (cryo-EM):
Capture transient conformational states by rapid freezing at defined time points after ATP addition
Employ image classification algorithms to sort heterogeneous particle populations
Reconstruct the complete conformational landscape throughout the ATP hydrolysis cycle
Visualize client protein interactions and their impact on htpG conformation
Single-molecule Förster resonance energy transfer (smFRET):
Introduce fluorescent probe pairs at strategic locations across htpG domains
Monitor real-time distance changes between domains during ATP binding, hydrolysis, and client interaction
Quantify the kinetics of conformational transitions and identify rate-limiting steps
Detect rare or transient conformational states missed by ensemble methods
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Map regions of conformational flexibility and solvent accessibility
Compare exchange patterns in different functional states:
Apo state
ATP-bound
ADP-bound
Client-bound
Identify allosteric communication networks between domains
Nuclear magnetic resonance (NMR) spectroscopy:
For domain-specific studies, use truncated htpG constructs amenable to NMR analysis
Employ methyl-TROSY techniques for studying larger assemblies
Characterize μs-ms timescale dynamics using relaxation dispersion experiments
Map client binding interfaces through chemical shift perturbation
Molecular dynamics (MD) simulations:
Develop atomistic models of P. putida htpG based on homologous structures
Simulate conformational transitions during the ATPase cycle
Investigate water networks and ion coordination in catalytic sites
Model client protein interactions and induced conformational changes
Integrative structural biology approach:
By integrating these complementary approaches, researchers can construct a comprehensive model of htpG's conformational cycle, mapping the structural basis for ATP-driven chaperone activity and client protein interaction specificity.
Emerging technologies offer exciting new avenues to investigate P. putida htpG function in stress adaptation with unprecedented precision and scope:
CRISPR interference (CRISPRi) and activation (CRISPRa) systems:
Develop P. putida-optimized CRISPRi systems for tunable repression of htpG
Apply CRISPRa for controlled overexpression under specific conditions
Create libraries targeting htpG regulators to map the complete regulatory network
Implement multiplexed CRISPR systems to simultaneously modulate htpG and client proteins
Single-cell technologies:
Employ microfluidic devices combined with time-lapse microscopy to track htpG activity in real-time
Apply single-cell RNA-seq to capture cell-to-cell variability in htpG expression during stress responses
Develop fluorescent sensors to monitor htpG conformational states in living cells
Utilize nano-sampling techniques to extract proteins from individual cells for proteomic analysis
Proximity labeling proteomics:
Employ engineered ascorbate peroxidase (APEX) or TurboID fused to htpG to identify transient interactions
Map the dynamic changes in htpG interactome across different stress conditions
Combine with pulse-chase approaches to determine client residence times
Develop split proximity labeling systems to identify complexes containing specific combinations of chaperones
Synthetic biology approaches:
Engineer orthogonal htpG variants with altered client specificity
Develop synthetic genetic circuits to probe htpG function in defined stress response networks
Create chimeric htpG proteins incorporating domains from different species to investigate domain-specific functions
Design minimal synthetic clients with defined characteristics to dissect recognition principles
Advanced imaging techniques:
Apply super-resolution microscopy (PALM/STORM) to track htpG localization with nanometer precision
Employ lattice light-sheet microscopy for rapid 3D imaging with reduced phototoxicity
Develop correlative light and electron microscopy workflows to connect htpG dynamics to cellular ultrastructure
Utilize expansion microscopy to visualize chaperone-client complexes at enhanced resolution
These emerging technologies promise to transform our understanding of htpG function by enabling analyses with improved spatiotemporal resolution, sensitivity, and throughput, ultimately revealing how this molecular chaperone contributes to P. putida's remarkable environmental adaptability.
Findings from P. putida htpG research have significant potential to advance various biotechnological applications, leveraging the unique properties of this chaperone system:
Enhanced recombinant protein production:
Co-expression of optimized htpG variants could improve folding and yield of difficult-to-express proteins
Development of specialized expression systems where htpG expression is dynamically coordinated with target protein production
Engineering of htpG variants with broadened client specificity to assist folding of non-native proteins
Creation of synthetic chaperone networks incorporating htpG for complex protein production challenges
Bioremediation applications:
Enhanced stability of biodegradative enzymes through targeted htpG chaperoning
Development of P. putida strains with modified htpG systems optimized for function in contaminated environments
Engineering stress-responsive htpG variants to protect cellular machinery during exposure to toxic compounds
Creation of biosensors utilizing htpG-client interactions to detect environmental pollutants
Synthetic biology tools:
Utilization of htpG-based protein quality control modules in synthetic circuits
Development of conditional protein degradation systems based on htpG recognition
Creation of protein solubility switches regulated by engineered htpG variants
Design of post-translational regulatory systems utilizing modified htpG-client interactions
Biomaterial production:
Enhanced production of biodegradable polymers through stabilization of biosynthetic enzymes
Development of protein-based materials with htpG-assisted folding
Improvement of enzyme cascade stability for continuous bioproduction processes
Creation of self-healing biomaterials incorporating engineered htpG systems
Potential applications in heterologous protein production:
| Application | Key htpG Feature Utilized | Expected Benefits |
|---|---|---|
| Therapeutic protein production | Client protein recognition | Improved folding and reduced aggregation |
| Industrial enzyme production | Stress-protective functions | Enhanced enzyme stability under process conditions |
| Biosensor development | Conformational responsiveness | Sensitive detection of environmental changes |
| Biodegradation systems | Protection of catabolic pathways | Sustained activity in challenging environments |
| Synthetic cell development | Protein quality control | Reliable function of synthetic cellular components |
The strategic integration of htpG chaperone systems into biotechnological processes represents a promising approach to enhance the robustness and efficiency of various bioprocesses, particularly those involving challenging environmental conditions or complex protein production demands .