Psyr_4360 is a small hypothetical protein from Pseudomonas syringae pv. syringae B728a with a molecular weight of approximately 10.0 kDa and an isoelectric point (pI) of 6.08 . The protein has a negative charge of -2.08 at physiological pH (7.0) and a Kyte-Doolittle Hydrophobicity Value of -0.120, indicating it is slightly hydrophilic . The protein is encoded on the negative strand of the chromosome at position 5213599-5213874 .
For determining these properties experimentally, researchers should consider using:
Size exclusion chromatography for molecular weight confirmation
Isoelectric focusing gels for pI verification
Circular dichroism spectroscopy for secondary structure analysis
Hydrophobicity plot analysis using multiple algorithms beyond Kyte-Doolittle (e.g., Hopp-Woods, Eisenberg) for comprehensive characterization
Optimizing recombinant Psyr_4360 expression requires systematic evaluation of expression parameters. Drawing from established recombinant protein expression protocols, such as those used for GALE protein expression , consider the following methodology:
Vector selection: pET-based vectors with T7 promoter systems typically provide high expression levels for small bacterial proteins
Codon optimization: Analyze and optimize the Psyr_4360 coding sequence for E. coli codon usage
Expression conditions testing matrix:
| Parameter | Variables to Test |
|---|---|
| E. coli strain | BL21(DE3), Rosetta(DE3), Arctic Express |
| Induction temperature | 16°C, 25°C, 30°C, 37°C |
| IPTG concentration | 0.1 mM, 0.5 mM, 1.0 mM |
| Post-induction time | 4h, 8h, 16h, 24h |
Solubility assessment: Test extraction under native conditions using different buffer systems (phosphate, Tris-HCl) at various pH values (6.0-8.0)
Affinity tag selection: Compare N-terminal vs. C-terminal His6-tag performance, considering TEV protease cleavage sites for tag removal
Monitor expression levels using SDS-PAGE and Western blotting, targeting >95% purity similar to other successfully expressed recombinant proteins .
For high-purity Psyr_4360 preparation suitable for functional and structural studies, implement a multi-step purification strategy:
Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin if expressing with a His-tag
Intermediate purification: Ion exchange chromatography based on Psyr_4360's negative charge at pH 7.0 (-2.08)
Polishing step: Size exclusion chromatography to achieve >95% purity
Consider the following buffer optimization approach:
| Purification Stage | Buffer Composition | Rationale |
|---|---|---|
| Cell lysis | 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 1 mM PMSF, 5% glycerol | Stabilizing conditions with protease inhibition |
| IMAC | Same as lysis buffer with graduated imidazole elution (50-250 mM) | Selective elution of His-tagged protein |
| Ion exchange | 20 mM Tris-HCl pH 7.5, 50-500 mM NaCl gradient | Exploitation of protein's negative charge |
| Size exclusion | 20 mM Tris-HCl pH 7.5, 150 mM NaCl | Physiological-like conditions |
Assess purity at each stage using SDS-PAGE, targeting final purity comparable to other research-grade recombinant proteins (>95%) . Confirm identity through mass spectrometry and N-terminal sequencing.
Given the slight hydrophilicity of Psyr_4360 (Kyte-Doolittle value: -0.120) , but considering that many bacterial proteins with similar profiles interact transiently with membranes, use the following methodological approach:
In silico analysis:
Run transmembrane prediction algorithms (TMHMM, Phobius)
Amphipathic helix prediction (HeliQuest)
Membrane binding motif identification
Experimental validation:
Quantitative assessment:
Surface plasmon resonance (SPR) for binding kinetics
Fluorescence resonance energy transfer (FRET) assays using labeled protein and liposomes
Microscale thermophoresis for interaction studies
Drawing from HrpZ research methodologies, assess whether Psyr_4360 can associate with synthetic bilayer membranes and measure any resulting conductance changes using electrophysiological techniques .
To conduct a comprehensive phylogenetic analysis of Psyr_4360 orthologs:
Data extraction and sequence alignment:
Phylogenetic tree construction:
Apply maximum likelihood methods (RAxML or IQ-TREE)
Validate with Bayesian approaches (MrBayes)
Assess node support through bootstrapping (1000 replicates)
Functional inference methodology:
Map presence/absence patterns against known pathogenicity traits
Identify conserved motifs using MEME Suite
Apply context-based gene neighborhood analysis
Correlate with bacterial adaptation to different hosts or environments
The fact that Psyr_4360 is found in both pathogenic and non-pathogenic strains suggests a core cellular function rather than a direct virulence role. Detailed comparative genomics could reveal co-evolution patterns with other bacterial systems, potentially illuminating its biological significance.
Given that some Pseudomonas syringae proteins interact with plant defense mechanisms, including via the type III secretion system , investigating Psyr_4360's potential role in plant-pathogen interactions requires a multi-faceted approach:
Secretion system dependency testing:
Plant response assays:
Infiltrate purified recombinant Psyr_4360 into plant leaves
Monitor reactive oxygen species (ROS) production
Measure defense gene expression via qRT-PCR
Assess hypersensitive response development
Protein-protein interaction studies:
Yeast two-hybrid screening against plant immunity components
Co-immunoprecipitation assays from infected plant tissue
Bimolecular fluorescence complementation (BiFC) for in planta interaction validation
Functional genomics validation:
Generate Psyr_4360 knockout strains
Conduct plant infection assays comparing wild-type and mutant strains
Perform complementation studies to confirm phenotypes
Though Psyr_4360 is found in both pathogenic and non-pathogenic strains , which might suggest a non-virulence role, systematic testing is necessary to exclude potential contributions to plant-microbe interactions.
For comprehensive structural characterization of Psyr_4360, implement a multi-method strategy:
X-ray crystallography approach:
Initial crystallization screening (sparse matrix, 500-1000 conditions)
Optimization of promising conditions varying:
Protein concentration (5-15 mg/ml)
Precipitant type and concentration
pH range around pI (5.5-6.5)
Additives and detergents
Data collection at synchrotron facility
Structure determination using molecular replacement or experimental phasing
NMR spectroscopy alternative:
Isotopic labeling with 15N and 13C
Collection of 2D and 3D spectra (HSQC, HNCA, HNCACB)
Chemical shift assignment and NOE analysis
Structure calculation using CYANA or ARIA software
Complementary methods:
Small-angle X-ray scattering (SAXS) for solution structure
Hydrogen-deuterium exchange mass spectrometry for dynamics
Cryo-electron microscopy if the protein forms larger assemblies
For a 10 kDa protein like Psyr_4360 , NMR may be particularly suitable due to the favorable size for this technique. Structure determination would significantly advance functional hypotheses, particularly if structural homology is identified with proteins of known function.
Drawing from methodologies used to characterize the pore-forming activity of HrpZ(Psph) , implement the following experimental strategy to investigate Psyr_4360's potential membrane activity:
Electrophysiological characterization:
Prepare planar lipid bilayers with defined lipid compositions
Add purified recombinant Psyr_4360 at nanomolar concentrations
Record ion currents under symmetric and asymmetric ionic conditions
Determine:
Unitary conductance
Ion selectivity (cation vs. anion preference)
Voltage dependency
Gating characteristics
Liposome-based assays:
Prepare liposomes loaded with fluorescent dyes
Monitor dye release upon Psyr_4360 addition
Quantify size-dependent molecule release to estimate pore diameter
Test with liposomes of varying lipid compositions to determine specificity
Structural verification:
Atomic force microscopy of protein-membrane complexes
Transmission electron microscopy with negative staining
Molecular dynamics simulations of membrane interaction
This systematic approach would determine whether Psyr_4360 forms pores similar to HrpZ(Psph), which creates cation-selective channels with a conductivity of 207 pS .
Integrating Google's "People Also Ask" (PAA) data mining methodology into Psyr_4360 research offers significant advantages for understanding research trends and knowledge gaps:
Implementation methodology:
Track PAA cascades specifically related to Pseudomonas proteins
Monitor evolving question patterns across specialized research domains
Apply natural language processing to extract semantic relationships between questions
Research applications:
Identify understudied aspects of bacterial proteins like Psyr_4360
Discover connections between seemingly unrelated research questions
Map the conceptual landscape surrounding bacterial hypothetical proteins
Strategic research planning:
Prioritize experiments based on frequency and complexity of questions
Identify potential collaborators through question pattern analysis
Develop targeted communication strategies for research findings
As demonstrated in SEO contexts, PAA data provides valuable insights into search behavior patterns and query relationships . For scientific research on poorly characterized proteins like Psyr_4360, this approach can reveal hidden associations between research questions and experimental approaches, potentially accelerating hypothesis generation.
To rigorously differentiate the functional characteristics of Psyr_4360 from other UPF0250 family members:
Comparative functional genomics:
Generate knockout mutants across multiple bacterial species
Perform cross-complementation studies
Conduct phenotypic microarrays to identify condition-specific defects
Compare transcriptomic responses to environmental stressors
Domain swapping and chimeric protein analysis:
Identify variable regions within the UPF0250 family
Create chimeric constructs between Psyr_4360 and distant homologs
Assess the function of each construct through complementation assays
Map species-specific functional domains
Interactome comparison:
Perform pull-down assays coupled with mass spectrometry for each homolog
Construct protein-protein interaction networks
Identify common vs. species-specific interaction partners
Validate key interactions through reciprocal co-immunoprecipitation
This systematic approach would determine whether the function of Psyr_4360 is conserved across the 535 members of its ortholog group (POG001685) or if it has evolved species-specific functions despite sequence conservation.