KEGG: plu:plu2095
STRING: 243265.plu2095
Photorhabdus luminescens is a nematode-symbiotic, gram-negative, bioluminescent bacterium belonging to the family Enterobacteriaceae. It has gained significant research attention as both an alternative source of insecticides and an emerging human pathogen . The plu2095 protein belongs to the UPF0312 family of uncharacterized proteins identified in the P. luminescens genome. While its specific function remains to be fully elucidated, studying this protein may provide insights into novel virulence mechanisms, secretion pathways, or symbiotic interactions that are characteristic of this bacterium.
Research on plu2095 is particularly valuable because:
It represents one of many uncharacterized proteins in the P. luminescens genome that may contribute to the bacterium's unique ecological niche
Understanding its structure and function may reveal new biological mechanisms related to insect pathogenicity
It could potentially represent a novel drug target or biotechnological tool
While specific data for plu2095 is limited, recombinant expression typically allows for determination of the following biochemical properties:
| Property | Expected Range | Typical Analytical Method |
|---|---|---|
| Molecular Weight | Predicted based on amino acid sequence | SDS-PAGE, Mass Spectrometry |
| Isoelectric Point (pI) | Typically between 4-9 | Isoelectric focusing |
| Secondary Structure Elements | α-helices, β-sheets, random coils | Circular Dichroism Spectroscopy |
| Protein Stability | Tm (melting temperature) | Differential Scanning Fluorimetry |
| Post-translational Modifications | Glycosylation, phosphorylation, etc. | Mass Spectrometry |
Methodological approach: The pI and other biophysical properties can be initially predicted using bioinformatics tools, then verified experimentally. For accurate molecular weight determination, purified recombinant plu2095 should be analyzed by mass spectrometry alongside SDS-PAGE calibrated with appropriate molecular weight markers.
For an uncharacterized protein like plu2095, a multi-method approach is recommended:
Circular Dichroism (CD) Spectroscopy: This technique provides estimation of secondary structure content (α-helices, β-sheets, and random coils). Far-UV CD spectra (190-260 nm) can reveal the approximate percentages of these structures .
Nuclear Magnetic Resonance (NMR) Spectroscopy: For smaller proteins or domains (<30 kDa), NMR can provide atomic-level structural information and is particularly valuable for identifying dynamic regions.
X-ray Crystallography: If the protein can be crystallized, this method provides high-resolution structural information, though it represents a static snapshot rather than dynamic information.
Homology Modeling: Computational prediction of tertiary structure based on homologous proteins with known structures. This is particularly useful when experimental structures are challenging to obtain.
Methodological consideration: When analyzing secondary structure, it's important to note that certain amino acids have characteristic preferences. For example, proline often disrupts α-helices, serving as a "helix breaker," while aromatic amino acids like tryptophan, tyrosine, and phenylalanine are frequently found in β-pleated sheets due to their bulky side chains .
In the absence of experimental structural data, several computational approaches can be employed:
| Method | Application | Output |
|---|---|---|
| Sequence Alignment | Identify conserved regions | Potential functional motifs |
| Hidden Markov Models | Detect remote homologs | Domain predictions |
| Structural Prediction Servers | Generate 3D models | Putative binding pockets |
| Molecular Dynamics Simulations | Analyze protein flexibility | Dynamic structural elements |
Methodological approach: Begin with sequence-based tools like BLAST, Pfam, and InterPro to identify conserved domains. Follow with 3D structure prediction using AlphaFold2 or RoseTTAFold, then analyze the predicted structure for potential binding sites or functional regions using tools like CASTp or COACH. Validate computational predictions with site-directed mutagenesis of conserved residues.
Selection of an appropriate expression system depends on research objectives:
| Expression System | Advantages | Limitations | Best For |
|---|---|---|---|
| E. coli | High yield, rapid growth, economical | Limited post-translational modifications | Initial characterization, structural studies |
| Insect Cells | Better folding, some post-translational modifications | More complex, lower yield | Functional studies requiring proper folding |
| Mammalian Cells | Full range of post-translational modifications | Expensive, time-consuming | Interaction studies with mammalian proteins |
| Cell-Free Systems | Rapid, handles toxic proteins | Lower yield, expensive | Quick screening of variants |
Methodological recommendation: For initial characterization, an E. coli system using BL21(DE3) with an N-terminal His-tag is recommended, as protein L from P. magnus is also produced recombinantly in E. coli . For optimization, consider:
Testing multiple fusion tags (His, GST, MBP) to improve solubility
Varying induction conditions (temperature, IPTG concentration)
Co-expression with chaperones if folding issues are observed
A multi-step purification strategy is recommended:
Initial Capture: IMAC (Immobilized Metal Affinity Chromatography) using Ni-NTA resin for His-tagged protein
Intermediate Purification: Ion exchange chromatography based on the predicted pI of plu2095
Polishing Step: Size exclusion chromatography to remove aggregates and ensure monomeric protein
Quality Control: SDS-PAGE, Western blot, and mass spectrometry to confirm purity and identity
Methodological detail: For crystallization-grade purity (>95%), a typical workflow would include affinity chromatography followed by tag cleavage using TEV protease, then ion exchange chromatography and size exclusion as final polishing steps. This approach has been successful for structurally similar proteins and would likely yield high-purity plu2095 .
Given that P. luminescens produces several types of toxins and has extensive secretion systems , investigating plu2095's role in virulence requires a multi-faceted approach:
Gene Knockout Studies: Generate a plu2095 deletion mutant and assess virulence in insect models
Complementation Assays: Restore the wild-type phenotype by reintroducing the gene
Localization Studies: Determine if plu2095 is secreted or membrane-associated using fluorescence microscopy
Interaction Studies: Identify protein-protein interactions using pull-down assays, yeast two-hybrid, or BioID
Methodological consideration: When studying potential virulence factors, it's crucial to use appropriate insect models that reflect the natural host range of P. luminescens. Galleria mellonella (greater wax moth) larvae are widely used as they provide a cost-effective and ethically acceptable infection model that correlates well with virulence in natural hosts.
P. luminescens possesses multiple secretion systems for the export of virulence factors . To determine if plu2095 is associated with these systems:
| Approach | Methodology | Expected Outcome |
|---|---|---|
| Bioinformatic Analysis | Sequence comparison with known secretion system components | Prediction of secretion system association |
| Secretome Analysis | Mass spectrometry of culture supernatant | Identification of plu2095 in secreted fraction |
| Co-immunoprecipitation | Pull-down with known secretion system components | Physical interaction evidence |
| Bacterial Two-Hybrid | Screening against components of secretion systems | In vivo interaction data |
Methodological approach: Begin with secretome analysis by comparing wild-type and plu2095-knockout strains using LC-MS/MS. If plu2095 is secreted, follow up with targeted experiments to identify the specific secretion system involved, focusing particularly on Type I, II, III, V, and VI systems which have been identified in P. luminescens .
P. luminescens produces four major groups of toxins: toxin complexes (Tcs), Photorhabdus insect related (Pir) proteins, "makes caterpillars floppy" (Mcf) toxins, and Photorhabdus virulence cassettes (PVC) . To investigate potential relationships between plu2095 and these toxins:
Co-expression Analysis: Determine if plu2095 is co-regulated with known toxin genes using RT-qPCR
Protein-Protein Interaction Studies: Test direct interactions between plu2095 and components of toxin complexes
Functional Complementation: Assess if plu2095 can complement deficiencies in toxin activity
Structural Comparison: Compare predicted structural elements of plu2095 with known toxin domains
Methodological insight: Pay particular attention to potential interactions with Pir toxins, which function as binary proteins and have similarities to δ-endotoxins of Bacillus thuringiensis . If structural similarities exist between plu2095 and PirA or PirB domains, this could suggest functional relevance in insecticidal activity.
When faced with contradictory data regarding protein interactions or function, a systematic troubleshooting approach is recommended:
| Technique | Application | Advantage for Resolving Contradictions |
|---|---|---|
| Surface Plasmon Resonance (SPR) | Direct binding kinetics | Quantitative measurement of interaction strength |
| Isothermal Titration Calorimetry (ITC) | Thermodynamic analysis | Label-free, solution-based confirmation of binding |
| Hydrogen-Deuterium Exchange MS | Conformational analysis | Identifies actual interaction interfaces |
| In vivo Cross-linking | Native cellular environment | Captures physiologically relevant interactions |
| CRISPR-Cas9 Engineering | Targeted mutations | Tests specific residues required for interaction |
Methodological recommendation: When contradictory results arise between in vitro and in vivo studies, employ orthogonal methods that bridge these contexts. For example, if yeast two-hybrid and in vitro pull-down give different results, validate with fluorescence resonance energy transfer (FRET) in bacterial cells and in vitro SPR using purified components.
Investigating plu2095's role in the symbiotic relationship between P. luminescens and nematodes requires a comprehensive experimental design:
Expression Analysis: Determine if plu2095 expression changes during different stages of the symbiotic life cycle using RNA-seq and RT-qPCR
Knockout Studies in Symbiosis Model:
Generate plu2095 deletion mutant
Assess nematode development and reproduction in presence of mutant vs. wild-type bacteria
Measure bacterial colonization efficiency in nematode intestine
Localization During Symbiosis:
Create fluorescently tagged plu2095 variant
Track protein localization during nematode colonization using confocal microscopy
Interspecies Interaction Assays:
Identify potential nematode proteins that interact with plu2095
Test if recombinant plu2095 affects nematode development in vitro
Methodological considerations: When assessing symbiotic interactions, it's crucial to use the natural nematode partner (Heterorhabditis bacteriophora) rather than model nematodes like C. elegans. The experimental design should include careful controls for each stage of the complex life cycle, including both in soil and in insect host phases.
When traditional X-ray crystallography approaches are unsuccessful, alternative strategies include:
| Alternative Approach | Methodology | Advantages |
|---|---|---|
| Cryo-Electron Microscopy (cryo-EM) | Vitrification of protein in thin ice layer | No crystals needed, works for larger proteins |
| NMR Spectroscopy | Solution-state analysis of isotope-labeled protein | Provides dynamic information, works for smaller domains |
| Small-Angle X-ray Scattering (SAXS) | Analysis of protein in solution | Low-resolution envelope, information on flexibility |
| Integrative Structural Biology | Combining multiple low-resolution techniques | Leverages complementary data types |
Methodological detail: For proteins resistant to crystallization, a divide-and-conquer approach often proves successful. Identify stable domains within plu2095 through limited proteolysis and mass spectrometry, then express these domains individually. Stable domains can then be characterized by NMR (if <30 kDa) or submitted to crystallization trials, often with higher success rates than the full-length protein.
To understand the evolutionary context of plu2095, employ these bioinformatic analyses:
Phylogenetic Analysis:
Identify homologs across bacterial species using BLASTP and HMMer
Construct phylogenetic trees using maximum likelihood methods
Map protein presence/absence onto species phylogeny
Evolutionary Rate Analysis:
Calculate dN/dS ratios to identify selection pressure
Identify conserved vs. variable regions that may indicate functional constraints
Synteny Analysis:
Examine genomic context of plu2095 homologs across species
Identify conserved gene neighborhoods that suggest functional relationships
Domain Architecture Comparison:
Compare domain organization across homologs
Identify lineage-specific domain gains or losses
Methodological approach: Begin with homology searching using iterative methods like PSI-BLAST and HMMer to identify remote homologs. For phylogenetic analysis, employ model testing to select the most appropriate evolutionary model, and use both Bayesian and maximum likelihood methods to ensure robust tree topology.
Differentiating direct from indirect effects requires careful experimental design:
| Strategy | Implementation | Outcome |
|---|---|---|
| Complementation Analysis | Reintroduce wild-type or mutant versions | Confirms phenotype is directly linked to plu2095 |
| Inducible Expression Systems | Temporal control of gene expression | Distinguishes immediate vs. downstream effects |
| Point Mutations | Target specific functional residues | Links specific protein functions to phenotypes |
| Transcriptomics/Proteomics | Global analysis after gene deletion | Identifies affected pathways and potential compensatory mechanisms |
| Suppressor Screens | Identify mutations that restore function | Reveals genetic interactions and pathway components |
Methodological recommendation: Employ time-course experiments using an inducible expression system to track the temporal development of phenotypic changes. Immediate effects (occurring within minutes to hours) are more likely to be direct consequences of plu2095 function, while delayed effects may represent downstream or compensatory responses.
Several cutting-edge technologies show promise for elucidating plu2095 function:
CRISPR Interference (CRISPRi)/CRISPR Activation (CRISPRa):
Allows tunable repression or activation of plu2095 expression
Enables temporal control without complete gene deletion
Proximity-Dependent Biotinylation (BioID/TurboID):
Maps protein interaction networks in native cellular environment
Identifies transient interactors that may be missed by traditional methods
Single-Cell RNA-Seq of Infected Hosts:
Reveals heterogeneity in host response to wild-type vs. plu2095 mutant bacteria
Identifies specific cell types that respond to plu2095-mediated effects
Cryo-Electron Tomography:
Visualizes protein complexes in their native cellular context
Could reveal plu2095 localization within bacterial secretion systems
Methodological consideration: When implementing these advanced techniques, it's essential to develop appropriate controls specific to the P. luminescens system, as many of these methods were optimized for model organisms and may require adaptation for this bacterium.
Given P. luminescens' potential as an alternative source of insecticides , plu2095 research could contribute to biocontrol development:
Protein Engineering Approach:
If plu2095 contributes to insecticidal activity, structure-guided protein engineering could enhance its efficacy
Chimeric proteins combining domains from plu2095 and known toxins could yield novel activities
Delivery System Development:
Understanding plu2095 secretion mechanisms could inform the design of bacterial delivery systems for heterologous insecticidal proteins
Could lead to improved formulations with extended field stability
Target Specificity Enhancement:
If plu2095 shows specificity for certain insect species, this could be exploited to develop targeted biocontrol agents
Reduced off-target effects would provide environmental advantages over broad-spectrum insecticides
Methodological framework: Development of biocontrol applications should follow a systematic approach beginning with laboratory efficacy testing, followed by greenhouse trials, and ultimately field testing under contained conditions. Throughout this pipeline, both target efficacy and non-target effects should be rigorously assessed.