KEGG: bpy:Bphyt_4776
For the recombinant expression of Bphyt_4776, several expression systems can be employed, each with distinct advantages:
| Expression System | Advantages | Challenges | Recommended for Bphyt_4776 |
|---|---|---|---|
| E. coli | High yield, cost-effective, rapid | May form inclusion bodies with membrane proteins | Requires detergent optimization |
| Yeast | Post-translational modifications, membrane protein folding | Lower yield than E. coli | Good for functional studies |
| Insect cells | Superior folding, higher-order PTMs | Higher cost, longer production time | Excellent for structural studies |
| Mammalian cells | Native-like folding and modifications | Highest cost, complex protocols | When authentic function is critical |
For Bphyt_4776 specifically, insect cell expression systems often provide the best balance between yield and proper folding of membrane proteins . When using prokaryotic systems like E. coli, codon optimization may be necessary to address potential rare codon issues that could impede efficient translation. Additionally, fusion tags are typically attached during the production process to facilitate purification and may be determined during specific production protocols .
Recombinant Bphyt_4776 requires specific storage conditions to maintain structural integrity and function:
Primary storage: Store at -20°C for regular use or -80°C for extended storage
Working solution: Prepare working aliquots and store at 4°C for up to one week
Buffer composition: Tris-based buffer with 50% glycerol, specifically optimized for this protein
Avoid degradation: Repeated freezing and thawing is not recommended
Aliquoting strategy: Divide into single-use aliquots immediately after initial thawing
For experimental work, it is advisable to maintain the protein in a buffer that mimics its native environment, potentially incorporating mild detergents to maintain solubility of this membrane protein. Stability assays should be performed prior to functional studies to ensure the protein remains in its native conformation.
Structural characterization of Bphyt_4776 requires specialized approaches due to its membrane-embedded nature. The following methodological pipeline is recommended:
Detergent screening: Test a panel of detergents (e.g., DDM, LMNG, CHAPS) at varying concentrations to identify optimal solubilization conditions
Purification optimization: Implement two-step purification using affinity chromatography followed by size exclusion chromatography
Structural techniques:
X-ray crystallography: Utilize lipidic cubic phase (LCP) crystallization
Cryo-EM: Consider amphipol-stabilized or nanodisc-reconstituted preparations
NMR spectroscopy: Isotope labeling with 15N and 13C for solution NMR of detergent-solubilized protein
Researchers should be aware that the UPF0060 family proteins often present challenges in crystallization due to their flexibility and hydrophobic nature. Recent advances in AlphaFold2 prediction may provide preliminary structural insights that can guide experimental design .
To explore the protein-protein interaction network of Bphyt_4776, employ the following methodological approaches:
Co-immunoprecipitation (Co-IP): Using antibodies specific to Bphyt_4776 to pull down interaction partners, similar to techniques used in other membrane protein studies . This approach can be modeled after successful Co-IP studies of membrane proteins as demonstrated in case studies with other proteins like TSHR and CD40 .
Proximity labeling approaches:
BioID: Fuse Bphyt_4776 with a promiscuous biotin ligase
APEX2: Utilize ascorbate peroxidase fusion for proximity labeling
These methods allow identification of proteins in close proximity to Bphyt_4776 in vivo
Membrane-based yeast two-hybrid (MYTH): This specialized Y2H system is designed for membrane proteins and can identify direct interactors
Functional assays: Design experiments to test whether Bphyt_4776 influences known pathways in Burkholderia phytofirmans, particularly those related to plant growth promotion and stress tolerance
Analyzing interaction data through pathway enrichment can reveal the functional network in which Bphyt_4776 operates, potentially connecting to the bacterium's role in plant growth promotion.
Given that Burkholderia phytofirmans PsJN is known for its plant growth-promoting properties and ability to enhance abiotic stress tolerance in plants , investigating Bphyt_4776's role in these processes requires multi-faceted approaches:
Gene knockout/knockdown studies:
Generate Bphyt_4776 deletion mutants in B. phytofirmans
Create conditional expression strains
Assess mutant phenotypes in plant colonization assays
Plant inoculation experiments:
Compare wildtype and Bphyt_4776-mutant strains for:
Root colonization efficiency
Plant growth promotion
Abiotic stress tolerance induction (particularly salinity tolerance)
Quantify bacterial populations in rhizosphere and endosphere
Transcriptomic and metabolomic analyses:
Localization studies:
Generate fluorescently tagged Bphyt_4776 to track protein localization during plant colonization
Use confocal microscopy to visualize bacterial-plant interfaces
This methodological framework can provide insights into whether Bphyt_4776 contributes to the documented ability of B. phytofirmans to enhance plant tolerance to salinity and other stresses.
The hydrophobic nature of Bphyt_4776, particularly its transmembrane domains, presents significant expression challenges. The following strategies can improve expression outcomes:
Fusion partners optimization:
N-terminal fusions: MBP, thioredoxin, or SUMO to enhance solubility
C-terminal stability tags: Consider GFP fusion to monitor folding
Cleavable tags: Incorporate precision protease sites for tag removal
Expression optimization matrix:
| Parameter | Options to Test | Notes |
|---|---|---|
| Temperature | 16°C, 25°C, 30°C | Lower temperatures often improve folding |
| Induction | 0.1-1.0 mM IPTG or auto-induction | Slower induction favors proper folding |
| Media | LB, TB, 2YT, minimal media | Rich media can improve yields |
| Additives | Glycerol, arginine, specific detergents | Can stabilize membrane proteins |
Membrane mimetics:
Detergent screening: Test DDM, LMNG, CHAPS at varying concentrations
Nanodiscs: Consider MSP1D1 or SMA copolymer systems
Liposome reconstitution: POPC/POPE mixtures may stabilize function
Codon optimization: Analyze the sequence for rare codons, particularly if multiple rare codons are linked together, as this can cause expression difficulties in heterologous systems .
These methodologies collectively address the expression challenges documented for membrane proteins similar to Bphyt_4776.
Purification of membrane proteins like Bphyt_4776 often encounters specific challenges. The following troubleshooting guidance addresses common issues:
Poor solubilization:
Implement systematic detergent screening
Optimize detergent:protein ratios
Consider mixed micelle approaches with secondary detergents
Low binding to affinity resins:
Ensure tag accessibility (N vs. C-terminal positioning)
Screen different affinity tag systems (His, FLAG, Strep)
Modify binding conditions (salt, pH, imidazole concentration)
Protein aggregation:
Identify aggregation onset using dynamic light scattering
Incorporate stabilizing agents (glycerol, specific lipids)
Consider buffer optimization (pH range 6.5-8.0, salt concentration 100-500 mM)
Contaminant co-purification:
Activity loss during purification:
Incorporate activity assays at each purification step
Minimize time at room temperature
Consider rapid purification protocols
Each batch of purified Bphyt_4776 should undergo quality control via SDS-PAGE, Western blotting, and if possible, mass spectrometry to confirm identity and integrity.
Investigating Bphyt_4776's potential role in bacterial stress responses requires multidisciplinary approaches:
Comparative expression analysis:
qRT-PCR to quantify Bphyt_4776 expression under various stresses (osmotic, pH, temperature)
Western blotting to confirm protein-level changes
Promoter-reporter fusions to visualize expression patterns
Phenotypic characterization of mutants:
| Stress Condition | Wildtype vs. Mutant Analysis |
|---|---|
| Osmotic stress | Growth curves in different NaCl concentrations |
| pH tolerance | Survival at pH range 4.0-9.0 |
| Temperature stress | Growth at 15°C, 28°C, 37°C |
| Oxidative stress | H₂O₂ tolerance assays |
| Combined stresses | Factorial design experiments |
Molecular interaction studies:
Identify proteins that interact with Bphyt_4776 under stress conditions
Map stress-response signaling pathways
Determine whether Bphyt_4776 participates in sensing or responding to environmental changes
Comparative genomics:
Analyze conservation of UPF0060 family proteins across bacterial species
Correlate presence/absence with ecological niches and stress resilience
Given that Burkholderia phytofirmans PsJN enhances plant tolerance to salinity , understanding whether Bphyt_4776 contributes to the bacterium's own stress responses may provide insights into the mechanisms of plant-microbe interactions under stress.
To explore whether Bphyt_4776 participates in signaling processes during plant-microbe interactions, researchers should consider:
Bacterial-plant co-culture systems:
Receptor activation assays:
Generate purified Bphyt_4776 for direct application to plant tissues
Monitor early signaling responses (Ca²⁺ flux, MAPK activation)
Screen for plant genes responsive to Bphyt_4776 treatment
In planta visualization:
Create fluorescently tagged Bphyt_4776 to track localization during plant colonization
Use FRET/BRET approaches to monitor potential interaction with plant proteins
Implement live-cell imaging to capture dynamic interactions
Biochemical characterization:
Assess whether Bphyt_4776 binds specific ligands
Test for enzymatic activities that could generate signaling molecules
Determine if post-translational modifications occur during plant interaction
This research direction connects to findings that B. phytofirmans influences plant responses to abiotic stress, potentially through volatile organic compound signaling pathways .
Membrane proteins like Bphyt_4776 may undergo post-translational modifications (PTMs) that affect their function. The following mass spectrometry (MS) approaches are recommended:
Sample preparation optimization:
In-gel digestion: Enables visualization of protein integrity
Filter-aided sample preparation (FASP): Effective for detergent removal
Specialized proteases: Use combinations of trypsin, chymotrypsin, and Glu-C for improved coverage
MS techniques for specific PTM types:
| PTM Type | MS Approach | Detection Strategy |
|---|---|---|
| Phosphorylation | TiO₂ enrichment + LC-MS/MS | Neutral loss scanning |
| Glycosylation | Hydrophilic interaction LC + MS/MS | Glycopeptide fragmentation patterns |
| Lipid modifications | Direct MALDI-TOF | Mass shifts from lipid attachments |
| Disulfide bonds | Non-reducing vs. reducing conditions | Mass shifts after reduction |
Data analysis pipelines:
Implement specialized search algorithms (e.g., ModifiComb, PTMiner)
Utilize spectral counting or MS1 intensity for PTM quantification
Validate with site-directed mutagenesis of modified residues
Spatial proteomics:
Combine subcellular fractionation with MS analysis
Track PTM differences across cellular compartments
Correlate modifications with protein localization
These approaches can identify whether Bphyt_4776 undergoes modifications that might regulate its function in different cellular contexts or during plant-microbe interactions.
Computational analyses can provide valuable insights into Bphyt_4776's potential functions:
Domain and motif prediction:
Apply TMHMM, HMMTOP for transmembrane topology
Use Pfam, SMART, and InterPro for domain identification
Implement MEME and GLAM2 to discover novel motifs
Evolutionary analysis workflow:
Collect UPF0060 family homologs across bacterial species
Perform multiple sequence alignment using MAFFT or Clustal Omega
Generate phylogenetic trees using maximum likelihood methods
Calculate selection pressures (dN/dS) across the sequence
Structural bioinformatics:
Utilize AlphaFold2 for 3D structure prediction
Perform molecular dynamics simulations in membrane environments
Identify potential ligand binding sites using CASTp or FTMap
Functional association networks:
Employ STRING and GeneMANIA to predict functional partners
Perform gene neighborhood analysis across bacterial genomes
Correlate with known pathways in plant-associated bacteria
A comprehensive bioinformatic analysis can generate testable hypotheses about Bphyt_4776's function, particularly in the context of Burkholderia phytofirmans' role in promoting plant growth and stress tolerance.
Despite understanding that Burkholderia phytofirmans PsJN promotes plant growth and stress tolerance , several knowledge gaps remain regarding Bphyt_4776's specific role:
Functional characterization:
Regulatory networks:
How Bphyt_4776 expression is regulated during plant colonization
Whether it responds to plant signals or environmental stresses
If it participates in quorum sensing or other bacterial communication systems
Structure-function relationships:
The three-dimensional structure remains unsolved
Critical residues for function have not been identified
Potential ligands or interacting molecules are unknown
Plant response pathways:
Addressing these gaps requires interdisciplinary approaches combining structural biology, molecular genetics, plant physiology, and systems biology.
CRISPR-Cas9 technology offers precise genetic manipulation capabilities for studying Bphyt_4776:
Gene editing strategies:
Complete gene knockout: Disrupt the Bphyt_4776 coding sequence
Domain-specific mutations: Introduce targeted modifications to specific protein regions
Promoter modifications: Alter expression patterns without affecting protein sequence
Fluorescent protein tagging: Create fusion proteins for localization studies
Delivery methods for Burkholderia:
Conjugation-based plasmid delivery
Electroporation of ribonucleoprotein complexes
Transposon-based systems for higher efficiency
Phenotypic analysis pipeline:
| Edited Strain | Analysis Approach | Expected Insights |
|---|---|---|
| Complete knockout | Plant colonization and growth promotion | Essential nature for symbiosis |
| Domain mutants | Structure-function relationship | Critical regions for activity |
| Expression variants | Dose-dependent effects | Threshold levels for function |
| Tagged variants | Localization patterns | Spatial distribution during interaction |
Off-target assessment:
Whole genome sequencing to confirm specificity
Complementation studies to validate phenotypes
Transcriptome analysis to identify compensatory mechanisms
CRISPR-based approaches can overcome traditional challenges in manipulating Burkholderia species, providing unprecedented precision in dissecting Bphyt_4776's functions in plant-microbe interactions and stress tolerance mechanisms.
Understanding Bphyt_4776's potential roles in environmental adaptation requires combining multiple disciplinary perspectives:
Systems biology approaches:
Multi-omics integration (transcriptomics, proteomics, metabolomics)
Network analysis to position Bphyt_4776 in stress response pathways
Flux balance analysis to identify metabolic roles
Environmental microbiology methods:
Mesocosm studies with wildtype vs. mutant strains
Competition assays under various environmental stresses
In situ expression analysis using reporter systems
Synthetic biology applications:
Heterologous expression in non-native hosts
Construction of minimal systems to test sufficiency for function
Engineering chimeric proteins to dissect domain functions
Advanced imaging techniques:
Super-resolution microscopy for subcellular localization
Correlative light and electron microscopy
Label-free chemical imaging (FTIR, Raman) for associated metabolites
Computational modeling:
Molecular dynamics simulations in membrane environments
Protein-protein docking to predict interaction partners
Machine learning to identify patterns in functional datasets
These interdisciplinary approaches can contextualize Bphyt_4776's function within the broader ecological role of Burkholderia phytofirmans as a plant growth-promoting rhizobacterium that enhances tolerance to chilling, drought, and salinity .