The recombinant protein is generated through codon-optimized expression in E. coli, followed by affinity chromatography and lyophilization . Key quality metrics include:
Stability: Sensitive to repeated freeze-thaw cycles; glycerol supplementation improves longevity .
Applications: Likely used in structural studies, antibody production, or functional assays, though explicit research applications are not yet documented .
Gene Context: The plu2700 gene is part of P. luminescens subsp. laumondii TT01, a strain studied for its symbiotic relationship with nematodes and antibiotic production .
Regulatory Pathways: While plu2700’s specific role is unconfirmed, homologs in related bacteria suggest involvement in membrane transport or stress response . Notably, P. luminescens employs quorum sensing (e.g., luxS-mediated systems) to regulate secondary metabolites, though no direct link to Plu2700 has been established .
Biotechnological Potential: Recombinant Plu2700 serves as a tool for studying bacterial membrane protein dynamics. Its production in E. coli demonstrates scalability for industrial applications .
Comparative Biology: The UPF0266 family’s conservation across bacteria hints at essential but underexplored functions, such as ion transport or cell envelope maintenance .
Mechanistic Role: Does Plu2700 interact with other proteins (e.g., transporters or regulators) in P. luminescens?
Therapeutic Relevance: Could modulating Plu2700 affect bacterial viability or pathogenicity?
KEGG: plu:plu2700
STRING: 243265.plu2700
The UPF0266 membrane protein plu2700 is a 152-amino acid transmembrane protein found in Photorhabdus luminescens subsp. laumondii (strain TT01), a gram-negative, bioluminescent bacterium belonging to the Enterobacteriaceae family. The protein is classified as part of the UPF (Uncharacterized Protein Family) 0266, suggesting its function has not been fully characterized. Its amino acid sequence is: MNLNDIALTGLIVLMLAFAVYDEFVVNFLKGKTHLQIKLKRKHKIDALIFIILILIVVYNNITVYGSRLTTYLLLFTILVTIYIAYIRSPKLFFKNNGFFYANTFISYSRIKTMNLSEDGILVIGLENKKLYISVSQIDDLERIYKFLIENR
Based on hydropathy analysis and structural prediction algorithms, plu2700 is predicted to contain multiple transmembrane helices. The hydrophobic regions (particularly residues 9-29 and 45-65) likely span the membrane, while the charged residues (particularly the lysine-rich region around positions 30-40) are likely exposed to the cytoplasmic or periplasmic space. The protein contains a relatively high proportion of hydrophobic amino acids (approximately 60%), consistent with its membrane localization.
While specific expression data for plu2700 is limited, many membrane proteins in P. luminescens show differential expression patterns during the bacterium's lifecycle phases. The gene may be regulated similarly to other membrane proteins in this organism, potentially through ner gene-mediated regulation, which has been shown to affect primary-form-specific phenotypes in P. luminescens . Northern blot analysis techniques similar to those used for the ner gene could be applied to study plu2700 expression patterns across different growth phases.
The recombinant plu2700 protein has been successfully expressed in E. coli expression systems with N-terminal His-tagging . Based on available data, the following expression systems have been documented:
For membrane proteins like plu2700, E. coli expression systems typically provide good yields, though proper folding may require optimization of expression conditions.
Purification of recombinant plu2700 typically follows standard membrane protein purification procedures:
Cell Lysis and Membrane Isolation:
Harvest cells by centrifugation (5,000×g, 15 min, 4°C)
Resuspend in lysis buffer containing protease inhibitors
Disrupt cells via sonication or French press
Remove cell debris by centrifugation (10,000×g, 20 min, 4°C)
Isolate membranes by ultracentrifugation (100,000×g, 1 hour, 4°C)
Solubilization:
Resuspend membrane fraction in solubilization buffer containing appropriate detergents (e.g., DDM, LDAO, or Triton X-100)
Incubate with gentle agitation (2-4 hours, 4°C)
Remove insoluble material by ultracentrifugation (100,000×g, 30 min, 4°C)
Affinity Chromatography:
Apply solubilized fraction to Ni-NTA or similar affinity resin
Wash with buffer containing low imidazole concentrations
Elute protein with buffer containing high imidazole concentrations
Size Exclusion Chromatography:
Based on product information, the following storage conditions are recommended for maintaining stability of recombinant plu2700 :
Storage buffer: Tris-based buffer containing 50% glycerol (or alternatively Tris/PBS-based buffer with 6% trehalose, pH 8.0)
Short-term storage: 4°C for up to one week
Long-term storage: -20°C or -80°C
Avoid repeated freeze-thaw cycles
For extended storage periods, aliquoting is necessary
When reconstituting lyophilized protein:
Centrifuge vial briefly before opening
Reconstitute in deionized sterile water to 0.1-1.0 mg/mL
Add glycerol to 5-50% final concentration for storage
Several complementary approaches are recommended for structural determination of membrane proteins like plu2700:
Several approaches can be employed to identify potential binding partners:
Pull-down Assays:
Use purified His-tagged plu2700 as bait
Incubate with P. luminescens cell lysate
Analyze bound proteins by mass spectrometry
Bacterial Two-Hybrid System:
Generate fusion constructs with plu2700
Screen against genomic library of P. luminescens
Verify interactions with co-immunoprecipitation
Cross-linking Mass Spectrometry:
Apply chemical cross-linkers to stabilize transient interactions
Digest and analyze by LC-MS/MS
Identify cross-linked peptides to map interaction interfaces
Co-purification Studies:
Analyze proteins that co-purify with tagged plu2700
Verify specific interactions with competition assays
Given the limited functional characterization of UPF0266 family proteins, bioinformatic approaches can provide valuable insights:
Sequence Homology Analysis:
BLAST against characterized proteins
Multiple sequence alignment with other UPF0266 family members
Conservation analysis across bacterial species
Protein Domain Prediction:
Search for conserved domains using Pfam, SMART, or InterPro
Identify functional motifs that may suggest activity
Structural Homology Modeling:
Generate 3D models using AlphaFold2 or RoseTTAFold
Compare predicted structures with characterized proteins
Identify potential binding pockets or catalytic sites
Genomic Context Analysis:
Examine neighboring genes in the P. luminescens genome
Identify potential operons or functionally related gene clusters
Compare with syntenic regions in related organisms
Several experimental approaches can elucidate potential roles in virulence:
Gene Knockout/Knockdown Studies:
Generate plu2700 deletion mutants using CRISPR-Cas9 or homologous recombination
Compare virulence between wild-type and mutant strains in insect models
Complement mutants to confirm phenotype specificity
Transcriptional Analysis:
Compare plu2700 expression during different phases of infection
Use qRT-PCR or RNA-Seq to quantify expression changes
Correlate with expression of known virulence factors
Host-Pathogen Interaction Assays:
Investigate interactions with host cell components
Test effects on host immune responses
Evaluate contribution to bacterial survival in host
Toxin Secretion Analysis:
As a membrane protein, plu2700 may function in membrane integrity or transport processes:
Membrane Permeability Assays:
Compare membrane integrity in wild-type versus plu2700 mutants
Use fluorescent dyes (e.g., propidium iodide) to assess permeability
Measure susceptibility to osmotic stress or membrane-targeting antibiotics
Transport Assays:
Reconstitute purified protein into liposomes
Test for transport of various substrates (ions, small molecules)
Use fluorescent indicators or radiolabeled compounds to track transport
Electrophysiology:
Incorporate protein into planar lipid bilayers
Measure conductance changes in response to potential substrates
Characterize channel properties if applicable
Localization Studies:
Generate fluorescently tagged versions of plu2700
Determine subcellular localization within bacterial cells
Investigate potential co-localization with known transport systems
P. luminescens forms a symbiotic relationship with nematodes, which might involve membrane proteins like plu2700:
Colonization Assays:
Compare ability of wild-type versus plu2700 mutants to colonize nematode hosts
Quantify bacterial loads in nematodes using CFU counts or qPCR
Assess nematode development and reproduction when colonized by mutants
Transcriptional Profiling:
Compare plu2700 expression during free-living versus symbiotic phases
Identify co-regulated genes that may function in symbiosis
Use RNA-Seq to capture global transcriptional changes
In vivo Imaging:
Generate fluorescently labeled bacterial strains
Track colonization patterns in nematode hosts
Compare localization of wild-type versus mutant bacteria
Metabolite Exchange Studies:
Investigate whether plu2700 affects nutrient exchange between bacteria and nematodes
Analyze metabolomic profiles using LC-MS
Identify altered metabolic pathways
Membrane proteins often have specific lipid requirements for function:
Lipid Nanodisc Reconstitution:
Incorporate purified plu2700 into nanodiscs with defined lipid composition
Test functional activity in different lipid environments
Analyze protein stability and conformation changes
Native Mass Spectrometry:
Analyze protein-lipid complexes directly
Identify specifically bound lipids that co-purify with the protein
Determine binding affinities for different lipids
Molecular Dynamics Simulations:
Model protein behavior in various membrane environments
Predict lipid binding sites and interaction energies
Simulate conformational changes in response to lipid binding
Fluorescence-based Techniques:
Employ FRET to measure protein-lipid interactions
Use environment-sensitive fluorescent probes to detect conformational changes
Monitor lipid-dependent changes in protein dynamics
Comparative analysis can provide functional insights:
Comparative genomic analysis reveals that UPF0266 family proteins are conserved across Enterobacteriaceae, suggesting an important cellular function. The highest conservation is observed in the predicted transmembrane regions, while the hydrophilic loops show greater sequence variation. This pattern suggests that the membrane-spanning regions may be critical for structural integrity or core function, while the variable regions might confer species-specific roles.
Membrane proteins present specific challenges:
Low Expression Yields:
Optimize expression conditions (temperature, induction time, inducer concentration)
Test different E. coli strains (C41(DE3), C43(DE3), Lemo21)
Consider codon optimization for heterologous expression
Use fusion partners (MBP, SUMO) to improve solubility
Protein Aggregation:
Screen multiple detergents for solubilization (DDM, LDAO, LMNG)
Add stabilizing agents (glycerol, specific lipids)
Optimize buffer conditions (pH, salt concentration)
Consider nanodiscs or amphipols for stabilization
Poor Purity:
Implement multi-step purification strategies
Use size exclusion chromatography as a final polishing step
Consider additional affinity tags or purification steps
Optimize washing conditions during affinity chromatography
Loss of Activity:
Minimize time between purification and functional assays
Store protein with appropriate stabilizers
Reconstitute into lipid environments that support activity
Consider detergent exchange during purification
Assessing proper folding is critical for functional studies:
Circular Dichroism (CD) Spectroscopy:
Analyze secondary structure content
Compare with predicted secondary structure
Monitor thermal stability and unfolding
Intrinsic Fluorescence:
Measure tryptophan/tyrosine fluorescence
Monitor changes under different conditions
Assess accessibility of aromatic residues
Size Exclusion Chromatography:
Analyze elution profile
Monodisperse peak suggests proper folding
Multiple peaks or void volume elution indicates aggregation
Limited Proteolysis:
Well-folded proteins show resistance to proteolysis
Compare digestion patterns under native versus denaturing conditions
Identify stable domains
Robust experimental design requires appropriate controls:
Negative Controls:
Empty vector-transformed cells
Heat-denatured protein
Detergent-only samples for membrane assays
Buffer-only controls for all experiments
Positive Controls:
Well-characterized membrane proteins of similar size
Known channel or transporter proteins in functional assays
Proteins with established lipid interactions
Validation Controls:
Complementation with wild-type protein in knockout studies
Site-directed mutants targeting predicted functional residues
Concentration gradients to establish dose-dependency
Technical Controls:
Biological replicates (minimum n=3)
Technical replicates for each biological sample
Multiple protein preparations to ensure reproducibility
While the specific function of plu2700 remains unknown, membrane proteins in pathogenic bacteria often play crucial roles in host interactions:
Potential Roles in Pathogenesis:
Evolutionary Significance:
Comparative analysis across Photorhabdus species may reveal adaptation signatures
Analysis of selection pressure on different protein domains could identify host-interacting regions
Conservation patterns may indicate essential functions
Therapeutic Potential:
If involved in virulence, could represent a novel target for anti-infective strategies
Structure determination could facilitate rational drug design
Understanding membrane protein function contributes to bacterial physiology knowledge
CRISPR-Cas9 technology offers powerful tools for functional genomics:
Gene Knockout Studies:
Design sgRNAs targeting plu2700
Create clean deletions or insertional inactivation
Characterize resulting phenotypes comprehensively
CRISPRi for Conditional Knockdown:
Use catalytically dead Cas9 (dCas9) to repress gene expression
Apply inducible systems for temporal control
Tune expression levels with different promoters
CRISPRa for Overexpression:
Use dCas9 fusion activators to increase expression
Study effects of plu2700 overexpression on bacterial physiology
Identify potential dosage-sensitive interactions
Base Editing Approaches:
Introduce specific amino acid changes without double-strand breaks
Target conserved residues to assess functional importance
Create libraries of variants for high-throughput functional screening
Several cutting-edge approaches show promise:
Cryo-Electron Tomography:
Visualize protein complexes in their native membrane environment
Determine localization patterns within bacterial cells
Identify potential interaction partners in situ
Single-Molecule Techniques:
Track individual protein molecules in live cells
Measure diffusion dynamics in membranes
Detect conformational changes in real-time
Artificial Intelligence Approaches:
Apply machine learning to predict protein function from sequence
Use AlphaFold2 or RoseTTAFold for accurate structure prediction
Employ deep learning to identify functional motifs
High-Throughput Screening:
Develop reporter systems to monitor plu2700 activity
Screen compound libraries for modulators
Apply functional genetic screens to identify genetic interactions