Function: Catalyzes the cleavage of 5-oxoproline to form L-glutamate, coupled with the hydrolysis of ATP to ADP and inorganic phosphate.
KEGG: ppu:PP_2920
STRING: 160488.PP_2920
The UPF0271 protein PP_2920 is an uncharacterized protein family member encoded in the Pseudomonas putida genome. It belongs to the UPF0271 protein family, which is typically characterized by proteins with unknown functions. In P. putida, this protein is encoded by the PP_2920 gene locus. Based on bioinformatic analysis, it shares structural features with other UPF0271 family members across bacterial species, though its precise biological function remains to be fully elucidated through experimental approaches .
For recombinant expression of PP_2920, several expression systems have been successfully employed with P. putida proteins. Both constitutive and inducible expression systems can be used, with inducible systems generally yielding higher protein production. Based on research with P. putida, the XylS/Pm expression system inducible by 3-methylbenzoate (3-mBz) and the RhaRS/PrhaBAD module inducible by rhamnose have shown tight inducer-dependent regulation and high levels of gene expression . When comparing constitutive versus inducible expression, studies with other P. putida proteins have demonstrated that inducible systems typically provide better control and often result in higher protein yields .
Expression of P. putida proteins in heterologous hosts often faces several challenges. These include:
Codon bias differences between P. putida and common expression hosts like E. coli
Potential toxicity of the expressed protein to the host cell
Protein misfolding or aggregation in the cytoplasm
Formation of inclusion bodies requiring refolding protocols
Low expression levels or unstable protein products
To address these challenges, researchers typically optimize codon usage for the expression host, test different induction conditions (temperature, inducer concentration, and induction time), and explore various solubility-enhancing fusion tags such as MBP, SUMO, or GST. Additionally, co-expression with molecular chaperones may improve proper folding and solubility of the recombinant PP_2920 protein .
Detection of recombinant PP_2920 can be achieved through several complementary methods:
Western blotting using antibodies against the protein or any fusion tags
Mass spectrometry-based protein identification
Fluorescence in situ hybridization (FISH) targeting both 23S rRNA of P. putida and the mRNA of the recombinant gene
Confocal microscopy visualization if the protein is tagged with a fluorescent marker
For FISH-based detection, probes can be designed specifically targeting P. putida 23S rRNA sequences (labeled with one fluorophore) and the recombinant gene sequence (labeled with a different fluorophore). This dual-labeling approach enables specific detection of the recombinant strain expressing the target protein. The hybridization temperature should be optimized to ensure probe specificity with minimal non-specific binding .
Characterizing the function of uncharacterized proteins like PP_2920 requires a multifaceted approach:
Structural analysis: Determination of protein structure through X-ray crystallography, NMR, or cryo-EM to identify structural motifs that may suggest function
Comparative genomics: Analysis of genomic context and conservation patterns across different bacterial species
Protein-protein interaction studies: Yeast two-hybrid, pull-down assays, or co-immunoprecipitation to identify interaction partners
Gene knockout/knockdown studies: CRISPR-Cas9 or homologous recombination to create PP_2920 deletion mutants and observe phenotypic changes
Transcriptomics and proteomics: RNA-seq and quantitative proteomics to identify genes/proteins with correlated expression patterns
Biochemical activity screening: Testing the protein against libraries of potential substrates to identify enzymatic activities
Localization studies: Fluorescent protein tagging to determine subcellular localization
A combination of these approaches typically yields the most comprehensive functional characterization .
P. putida is known for its exceptional solvent tolerance, making it an excellent host for expressing proteins that may be involved in pathways generating potentially toxic compounds. Research has shown that P. putida can grow in the presence of high concentrations of solvents like 2-pentanone (up to 25-50 g/L), significantly outperforming other bacterial hosts like E. coli .
This solvent tolerance may affect recombinant protein expression and stability in several ways:
Enhanced protein stability: Proteins expressed in P. putida may possess inherent stability characteristics adapted to function in the presence of solvents
Modified membrane composition: P. putida's adaptive membrane modifications in response to solvents may create a more favorable environment for membrane-associated proteins
Stress response mechanisms: The activation of stress response pathways in P. putida may lead to increased expression of chaperones that aid in proper protein folding
Post-translational modifications: Solvent exposure may influence post-translational modifications of the recombinant protein
The table below summarizes the growth of P. putida compared to E. coli in the presence of different concentrations of 2-pentanone:
| 2-Pentanone Concentration | P. putida Growth (% of normal) | E. coli Growth (% of normal) |
|---|---|---|
| 0 g/L (control) | 100% | 100% |
| 1 g/L | ~100% | ~80% |
| 5 g/L | ~90% | ~10% |
| 10 g/L | ~75% | ~0% |
| 25 g/L | ~60% | 0% |
| 50 g/L | ~40% | 0% |
This exceptional solvent tolerance makes P. putida especially valuable for expressing proteins that may be involved in pathways producing potentially toxic compounds .
While specific data for PP_2920 is limited, research on other P. putida proteins suggests several strategies for maintaining long-term stability and activity:
Buffer optimization: Testing various buffer compositions (pH, ionic strength, additives) to identify conditions that maximize protein stability
Storage conditions: Evaluating different temperatures (-80°C, -20°C, 4°C) and the impact of freeze-thaw cycles
Stabilizing additives: Testing the effects of glycerol, reducing agents (DTT, β-mercaptoethanol), and specific ligands or co-factors
Lyophilization: Assessing whether lyophilization with appropriate excipients preserves activity
Engineering approaches: Introduction of disulfide bonds or surface mutations to enhance thermostability
For many recombinant proteins from P. putida, storage at -80°C in buffer containing 10-25% glycerol and appropriate reducing agents typically provides good stability. Activity assays should be performed periodically to monitor potential loss of function during storage .
P. putida minicells represent an innovative platform for studying protein function, particularly for proteins that may be involved in toxic metabolic pathways. Based on recent advances with P. putida minicells, the following approach could be implemented for PP_2920:
Generation of minicell-producing P. putida: Modify the strain to produce chromosome-free bacterial vesicles through genetic engineering approaches targeting cell division genes
PP_2920 expression optimization: Test both constitutive and inducible expression systems (such as XylS/Pm or RhaRS/PrhaBAD) to identify the optimal expression conditions in minicells
Minicell purification: Implement a 3-step purification protocol to isolate minicells containing the recombinant PP_2920 protein
Functional assays: Design assays to test potential functions in the isolated minicells
Long-term stability assessment: Evaluate the functional stability of PP_2920 in minicells over extended timeframes
P. putida minicells have been shown to remain catalytically functional for over 4 months in some studies, making them excellent vehicles for long-term studies of protein function. This approach is particularly valuable for proteins that may be involved in pathways generating toxic compounds, as the minicells provide a contained environment without the constraints of maintaining cell viability .
When faced with contradictory results in PP_2920 functional studies, researchers should implement a systematic approach:
Replication with standardized protocols: Ensure methods are standardized across laboratories with detailed protocol sharing
Independent validation: Have multiple laboratories test the same hypothesis using different techniques
Strain and construct verification: Confirm the genetic background of all strains and the sequence of all constructs used
Controlled environmental conditions: Test whether different growth conditions influence results
Hypothesis refinement: Consider whether contradictory results might actually reflect different aspects of a more complex function
Statistical analysis: Apply rigorous statistical methods to determine significance of observed differences
Meta-analysis: Compile all available data to identify patterns and potential sources of variation
The table below outlines a step-by-step approach for resolving contradictory data:
| Step | Approach | Implementation |
|---|---|---|
| 1 | Protocol standardization | Develop detailed SOPs with specific reagents, conditions, and quality control metrics |
| 2 | Independent method validation | Apply multiple techniques (e.g., biochemical assays, genetic studies, structural analyses) to test the same hypothesis |
| 3 | Strain verification | Whole-genome sequencing to confirm strain identity and absence of mutations |
| 4 | Environmental testing | Systematic variation of temperature, media composition, pH, and oxygen levels |
| 5 | Statistical analysis | Apply appropriate statistical methods considering sample size, distribution, and multiple testing correction |
| 6 | Meta-analysis | Quantitatively combine data across studies to identify consistent patterns |
This systematic approach ensures that contradictions are addressed methodically rather than being dismissed or ignored .
A comprehensive purification protocol for recombinant PP_2920 typically involves the following steps:
Expression optimization: Test different expression systems with variable induction parameters (temperature, inducer concentration, duration)
Cell lysis: Compare mechanical methods (sonication, French press) with chemical lysis methods to identify the approach that maintains protein integrity
Initial clarification: Centrifugation at 10,000-15,000 × g for 30-45 minutes to remove cell debris
Affinity chromatography: If the protein contains an affinity tag (His, GST, MBP), use the appropriate affinity resin
Tag removal: If applicable, cleave the affinity tag using a specific protease (TEV, PreScission, etc.)
Secondary purification: Ion exchange chromatography based on the predicted isoelectric point of PP_2920
Polishing step: Size exclusion chromatography to achieve high purity and remove aggregates
Quality control: SDS-PAGE, Western blot, and mass spectrometry to confirm identity and purity
Activity verification: Functional assays based on predicted or experimentally determined activities
For difficult-to-express proteins, co-expression with molecular chaperones may improve solubility and yield. Additionally, optimizing buffer conditions (pH, salt concentration, additives) at each step can significantly improve purification outcomes .
Developing specific antibodies against PP_2920 involves the following methodological approach:
Antigen preparation: Options include:
Full-length recombinant PP_2920 protein (if soluble)
Specific peptide fragments (15-20 amino acids) from hydrophilic, surface-exposed regions
Fusion proteins containing PP_2920 epitopes
Immunization strategy:
Select appropriate animal model (rabbit, mouse, guinea pig) based on quantity of antibody needed
Design immunization schedule with primary and multiple boost injections
Use appropriate adjuvants to enhance immune response
Antibody purification:
For polyclonal antibodies: Affinity purification using immobilized PP_2920
For monoclonal antibodies: Hybridoma screening and clonal selection
Validation:
Western blot against recombinant PP_2920 and P. putida lysates
Immunoprecipitation to confirm specificity
Immunofluorescence to verify recognition of native protein
Testing against knockout/knockdown strains as negative controls
Cross-reactivity assessment:
Test against closely related proteins or P. putida strains with different genetic backgrounds
Evaluate specificity across different bacterial species
Optimizing antibody conditions (dilution, incubation time, blocking agents) for each application is crucial for successful immunodetection of PP_2920 .
Multiple complementary approaches should be employed to robustly identify and characterize protein-protein interactions involving PP_2920:
In vivo approaches:
Bacterial two-hybrid systems adapted for P. putida
Split-protein complementation assays (e.g., split-GFP)
Fluorescence resonance energy transfer (FRET)
In vivo crosslinking followed by mass spectrometry
In vitro approaches:
Pull-down assays using tagged recombinant PP_2920
Co-immunoprecipitation with PP_2920-specific antibodies
Surface plasmon resonance (SPR) to determine binding kinetics
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Computational predictions:
Protein-protein interaction predictions based on structural modeling
Genomic context and gene neighborhood analyses
Co-evolution analysis to identify potential interacting partners
Validation strategies:
Reciprocal pull-downs or co-immunoprecipitations
Mutational analysis of interaction interfaces
Functional assays to test the biological relevance of identified interactions
Each method has specific strengths and limitations, so combining multiple approaches provides more reliable identification of true interaction partners and reduces false positives .
Designing effective knockout experiments for PP_2920 requires careful planning and multiple controls:
Knockout strategy selection:
Homologous recombination with selection markers
CRISPR-Cas9-based genome editing
Transposon mutagenesis followed by screening
Design considerations:
Complete gene deletion vs. truncation or point mutations
Analysis of potential polar effects on adjacent genes
Consideration of genomic context and operon structures
Validation of knockout strains:
PCR verification of deletion/modification
RT-PCR to confirm absence of transcript
Western blot to confirm absence of protein
Whole-genome sequencing to identify potential off-target effects
Phenotypic characterization:
Growth curves under different conditions (carbon sources, stressors)
Metabolic profiling to identify altered metabolic pathways
Transcriptomic analysis to identify compensatory responses
Specific assays based on predicted functions
Complementation studies:
Reintroduction of wild-type PP_2920
Expression of PP_2920 homologs from other species
Structure-function analysis using mutant variants
This systematic approach helps establish causality between PP_2920 deletion and observed phenotypes, while controlling for potential secondary effects of genetic manipulation .
High-throughput approaches offer powerful methods to accelerate the functional characterization of PP_2920:
Metabolic profiling:
Untargeted metabolomics comparing wild-type and PP_2920 knockout strains
Stable isotope labeling to track metabolic flux changes
Testing growth on Biolog phenotype microarrays covering hundreds of carbon sources
Transcriptomic analysis:
RNA-seq to identify genes differentially expressed in PP_2920 mutants
ChIP-seq if PP_2920 is suspected to have DNA-binding properties
Time-course experiments to capture dynamic responses
Proteomic approaches:
Quantitative proteomics to identify changes in protein abundance
Phosphoproteomics to detect alterations in signaling pathways
Thermal proteome profiling to identify potential binding partners
High-content screening:
Fluorescent reporter assays in multi-well format
Automated microscopy to detect phenotypic changes
CRISPR interference screens to identify genetic interactions
Computational integration:
Network analysis of multi-omics data
Machine learning to identify patterns across datasets
Structural modeling integrated with experimental data
The table below summarizes key high-throughput approaches and their applications:
| High-throughput Approach | Primary Application | Data Output | Analysis Method |
|---|---|---|---|
| RNA-seq | Transcriptional changes | Gene expression levels | Differential expression analysis |
| Proteomics | Protein abundance changes | Protein quantities | Statistical comparison between conditions |
| Metabolomics | Metabolic impact | Metabolite profiles | Pathway enrichment analysis |
| Phenotype microarrays | Growth capabilities | Growth curves on hundreds of substrates | Comparative growth analysis |
| Protein interaction screens | Binding partners | Protein-protein interactions | Network analysis |
Integration of multiple high-throughput datasets typically provides the most comprehensive insights into protein function .
Engineering PP_2920 for enhanced function or novel applications involves several strategic approaches:
Rational design based on structural information:
Site-directed mutagenesis of key residues identified through structural analysis
Domain swapping with homologous proteins
Introduction of disulfide bonds for enhanced stability
Directed evolution approaches:
Error-prone PCR to generate libraries of PP_2920 variants
DNA shuffling with homologous genes
PACE (Phage-Assisted Continuous Evolution) if a selectable phenotype can be established
Computational design methods:
In silico prediction of stabilizing mutations
Computational design of new catalytic activities
Protein-protein interaction interface design
Fusion protein strategies:
Creation of chimeric proteins with complementary functions
Addition of targeting sequences for specific subcellular localization
Incorporation of reporter domains for activity monitoring
Testing and validation:
High-throughput screening of variant libraries
Detailed biochemical characterization of promising variants
In vivo testing in different P. putida strains and conditions
These engineering approaches can be applied iteratively, with each round of modifications informed by the results of previous experiments. The most successful engineering strategies typically combine rational design with directed evolution approaches .
Systems biology offers powerful frameworks for understanding how PP_2920 functions within broader cellular networks:
Genome-scale metabolic modeling:
Integration of PP_2920 into existing P. putida metabolic models
Flux balance analysis to predict metabolic impacts of PP_2920 modulation
Identification of synthetic lethal interactions through in silico gene knockouts
Multi-omics data integration:
Correlation analysis across transcriptomic, proteomic, and metabolomic datasets
Bayesian network analysis to infer causal relationships
Identification of co-regulated gene clusters suggesting functional relationships
Regulatory network reconstruction:
ChIP-seq or DNA affinity purification sequencing if PP_2920 has DNA-binding properties
Analysis of transcription factor binding sites in PP_2920 promoter region
Inference of regulatory relationships from time-course expression data
Protein interaction networks:
Placement of PP_2920 within the broader protein-protein interaction network
Identification of functional modules containing PP_2920
Analysis of network perturbations upon PP_2920 deletion or overexpression
Experimental validation of predictions:
Testing of computationally predicted interactions or functions
Targeted metabolic engineering based on model predictions
Iterative refinement of models based on experimental results
Systems biology approaches are particularly valuable for understanding proteins with complex or multifunctional roles that cannot be fully characterized through reductionist approaches alone .
Scaling up PP_2920 production for structural studies requires careful optimization at each stage:
Expression system optimization:
Culture conditions:
Optimization of media composition (carbon sources, nitrogen sources, trace elements)
Testing different induction parameters (timing, concentration, temperature)
Scale-up considerations from shake flasks to bioreactors
Protein solubility enhancement:
Fusion tags specifically selected for structural biology applications
Co-expression with molecular chaperones
Addition of specific solubilizing agents during expression
Purification process development:
Multi-step purification strategy optimization
Scale-appropriate chromatography approaches
Quality control metrics specific to structural biology requirements
Sample preparation for structural studies:
Buffer screening for optimal protein stability
Concentration methods that avoid aggregation
Assessment of sample homogeneity by dynamic light scattering
Crystallization or NMR sample optimization:
For X-ray crystallography: Crystallization condition screening
For NMR: Isotope labeling strategies (15N, 13C, 2H)
For cryo-EM: Grid preparation and vitrification conditions
Careful attention to each of these aspects is essential for producing the high-quality, homogeneous protein samples required for successful structural studies .
Advanced imaging techniques offer powerful tools for studying PP_2920 localization and dynamics:
Fluorescent protein tagging strategies:
C-terminal vs. N-terminal fusions to minimize functional disruption
Selection of appropriate fluorescent proteins (mScarlet, mNeonGreen, mTurquoise2)
Sandwich fusions if terminal tagging affects function
Super-resolution microscopy approaches:
Stimulated emission depletion (STED) microscopy
Single-molecule localization microscopy (PALM/STORM)
Structured illumination microscopy (SIM)
Live-cell imaging techniques:
Fluorescence recovery after photobleaching (FRAP) to measure mobility
Single-particle tracking to follow individual protein molecules
Fluorescence correlation spectroscopy (FCS) for concentration and diffusion measurements
Multi-color imaging for co-localization:
Simultaneous labeling of PP_2920 and potential interaction partners
Organelle markers to determine subcellular localization
Quantitative co-localization analysis
Advanced fluorescence techniques:
Fluorescence resonance energy transfer (FRET) to detect protein-protein interactions
Fluorescence lifetime imaging microscopy (FLIM) for quantitative FRET measurements
Split fluorescent protein complementation to visualize protein interactions
Integration with other techniques:
These imaging approaches can reveal dynamic aspects of PP_2920 function that are inaccessible through biochemical or genetic approaches alone, providing crucial insights into its cellular role .
Based on current understanding of P. putida proteins and uncharacterized protein families, several promising research directions for PP_2920 emerge:
Structural genomics approaches: Determining the three-dimensional structure of PP_2920 would provide crucial insights into its potential function and evolutionary relationships.
Systems-level characterization: Integration of PP_2920 into genome-scale metabolic models and protein interaction networks of P. putida to understand its role in cellular physiology.
Comparative genomics: Comprehensive analysis of PP_2920 homologs across different bacterial species to identify conserved features and potential functional clues.
Application in biotechnology: Exploration of PP_2920's potential roles in P. putida's exceptional environmental stress tolerance and metabolic versatility.
Genetic interaction mapping: Systematic creation of double mutants combining PP_2920 deletion with other genes to identify functional relationships.
These research directions complement each other and would collectively advance our understanding of this uncharacterized protein and potentially reveal new aspects of P. putida biology that could be leveraged for biotechnological applications .
P. putida has emerged as a valuable biotechnological chassis due to its metabolic versatility, stress tolerance, and ability to grow on diverse carbon sources. PP_2920 may contribute to these properties in several ways:
Solvent tolerance mechanisms: If PP_2920 is involved in P. putida's exceptional tolerance to organic solvents (where it can grow in concentrations of chemicals that are lethal to other bacteria) , it could be a valuable target for enhancing bioproduction of toxic compounds.
Metabolic robustness: PP_2920 might play a role in the metabolic flexibility that allows P. putida to efficiently utilize diverse carbon sources, including organic acids like butyrate .
Stress response pathways: If PP_2920 participates in stress response mechanisms, understanding its function could lead to engineering more robust strains for industrial applications.
Novel enzymatic activities: As an uncharacterized protein, PP_2920 may possess novel enzymatic activities that could be harnessed for biocatalysis applications.
Minicell functionality: If PP_2920 influences minicell formation or function, it might be relevant to the development of P. putida minicell technology, which has shown promise for long-term (>4 months) biocatalytic applications .