Recombinant Rhizobium loti UPF0060 membrane protein mll7841 is a recombinant protein derived from the bacterium Rhizobium loti, now often referred to as Mesorhizobium loti. This protein is part of the UPF0060 family, which is characterized by its conserved sequence but unknown function across various organisms. The mll7841 protein is specifically expressed as a full-length membrane protein, consisting of 107 amino acids, and is often tagged with a His-tag for purification purposes.
The recombinant protein is typically expressed in E. coli and is available in a lyophilized powder form. Key characteristics include:
| Characteristics | Description |
|---|---|
| Protein Length | Full Length (1-107 amino acids) |
| Species | Rhizobium loti (Mesorhizobium loti) |
| Tag | His-tagged for purification |
| Purity | Greater than 90% as determined by SDS-PAGE |
| Storage Buffer | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 |
| Storage Conditions | Store at -20°C or -80°C upon receipt |
The recombinant protein is produced in E. coli, which allows for efficient expression and purification. It is commonly used in research settings to study membrane protein functions, protein-protein interactions, and potentially in biotechnological applications related to plant-microbe interactions.
KEGG: mlo:mll7841
STRING: 266835.mll7841
Recombinant Rhizobium loti UPF0060 membrane protein mll7841 is a full-length protein consisting of 107 amino acids. The complete amino acid sequence is: MTYLFYTAAALAEIAGCFSVWAWWRLERSPLWLAPGFVSLLLFAWLLALVDTNAAGRAYA AYGGIYIAASLAWLWLVEGVRPDRWDLAGAALCIAGASLILLAPRGA. When produced as a recombinant protein, it typically contains an N-terminal His-tag to facilitate purification. The protein is expressed in E. coli expression systems and purified to greater than 90% purity as determined by SDS-PAGE analysis .
Storage Protocol:
Store lyophilized protein at -20°C/-80°C upon receipt
After reconstitution, aliquot the protein to avoid repeated freeze-thaw cycles
Working aliquots can be stored at 4°C for up to one week
For long-term storage, add 5-50% glycerol (recommended final concentration of 50%) and store at -20°C/-80°C
Reconstitution Protocol:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% for long-term storage
Avoid repeated freeze-thaw cycles which can significantly reduce protein activity
The UPF0060 designation refers to "Uncharacterized Protein Family 0060," a classification for membrane proteins with conserved structural motifs but incompletely characterized functions. Rhizobium loti mll7841 belongs to this family of membrane proteins found across various bacterial species. As a member of this family, mll7841 likely shares structural and possibly functional similarities with other UPF0060 proteins, though its specific role in Rhizobium loti remains to be fully elucidated.
The significance of studying UPF0060 family proteins lies in their potential roles in membrane organization, transport, or signaling pathways that may be essential for bacterial survival or symbiotic relationships. In the case of Rhizobium loti, understanding mll7841 could provide insights into the molecular mechanisms underlying plant-microbe interactions, particularly in nitrogen-fixing root nodule formation .
Expression System Selection:
The optimal expression system for mll7841 is E. coli, which has been successfully used to produce the recombinant protein with N-terminal His-tag . For membrane proteins like mll7841, several considerations should be addressed:
Optimized Expression Protocol:
Vector selection: Use vectors with strong, inducible promoters (e.g., T7) and appropriate tag placement (N-terminal His-tag for mll7841)
Host strain selection: BL21(DE3) or derivatives optimized for membrane protein expression
Culture conditions:
Initial growth at 37°C to OD600 of 0.6-0.8
Temperature reduction to 16-20°C before induction
Induction with low IPTG concentration (0.1-0.5 mM)
Extended expression time (16-20 hours) at lower temperature
Addressing Common Challenges:
Hydrophobicity issues: Membrane proteins like mll7841 contain hydrophobic regions that can cause aggregation. Lower expression temperatures and specialized E. coli strains can mitigate this issue .
Codon optimization: Since Rhizobium loti may have different codon usage than E. coli, codon optimization or use of strains containing rare tRNAs may improve expression .
Protein toxicity: If mll7841 exhibits toxicity to E. coli, using tightly controlled inducible systems and reduced expression temperatures is recommended .
Recommended Purification Workflow:
Cell Lysis and Membrane Fraction Isolation:
Lyse cells using sonication or high-pressure homogenization in buffer containing detergents suitable for membrane protein extraction
Separate membrane fraction by ultracentrifugation
Solubilize membrane proteins using appropriate detergents (e.g., DDM, LDAO)
Immobilized Metal Affinity Chromatography (IMAC):
Apply solubilized protein to Ni-NTA or similar matrix
Wash with increasing imidazole concentrations to remove non-specific binding
Elute with buffer containing high imidazole concentration (250-500 mM)
For higher purity, use stringent washing with increased imidazole concentrations to distinguish full-length protein from truncated products
Size Exclusion Chromatography:
Quality Control:
Verify purity using SDS-PAGE
Confirm identity using Western blot or mass spectrometry
Assess structural integrity using circular dichroism if functional assays are available
Solution: Optimize growth conditions (temperature, media composition, induction timing)
Method: Compare expression at different temperatures (37°C, 30°C, 25°C, 16°C)
Analysis: Evaluate protein levels in soluble vs. insoluble fractions at each condition
Solution: Reduce expression rate by lowering temperature and inducer concentration
Method: Test induction with 0.1 mM IPTG at 16°C for overnight expression
Alternative approach: Attempt inclusion body solubilization and refolding if native conditions fail
Solution: Use expression vectors with fusion tags at both N and C termini
Method: Increase imidazole concentration during elution to select for full-length proteins containing both tags
Verification: Confirm full-length product by Western blot using antibodies against both terminal tags
Solution: Optimize buffer conditions with stabilizing agents
Method: Test various buffers with additives (glycerol, specific detergents, salt concentrations)
Storage: Aliquot protein and avoid repeated freeze-thaw cycles
Primary Sequence Analysis:
Apply transmembrane prediction algorithms (TMHMM, Phobius) to identify membrane-spanning regions
The hydrophobic nature of mll7841's sequence (MTYLFYTAAALAEIAGCFSVWAWWRLERSPLWLAPGFVSLLLFAWLLALVDTNAAGRAYA AYGGIYIAASLAWLWLVEGVRPDRWDLAGAALCIAGASLILLAPRGA) suggests multiple transmembrane domains
Structural Homology Modeling:
Identify structural homologs through sequence alignment with characterized proteins
Generate 3D models using comparative modeling platforms (SWISS-MODEL, I-TASSER)
Validate models through Ramachandran plot analysis and QMEAN scoring
Functional Domain Prediction:
Use InterPro, Pfam databases to identify conserved domains
Analyze conservation patterns across UPF0060 family members from different species
Predict potential binding sites or active centers through conservation mapping
Design Implications:
Target predicted exposed regions for antibody generation
Design constructs excluding transmembrane regions for soluble domain expression
Identify potential sites for site-directed mutagenesis based on conserved residues
Protease Accessibility Mapping:
Express mll7841 in membrane vesicles or proteoliposomes
Treat with membrane-impermeable proteases
Analyze protected fragments by mass spectrometry
Map cleavage sites to determine regions exposed on each side of the membrane
Reporter Fusion Assays:
Generate systematic fusions of mll7841 segments with reporter proteins (GFP, PhoA)
Express in E. coli and assess reporter activity
PhoA is active in periplasm, while GFP is fluorescent in cytoplasm
Complementary signals help map topology accurately
Cysteine Accessibility Methods:
Replace native cysteines with alanine
Introduce single cysteines at strategic positions
Probe accessibility with membrane-permeable and impermeable thiol reagents
Determine location relative to membrane based on labeling patterns
Cryo-EM or X-ray Crystallography:
For high-resolution structural determination, purify protein in detergent micelles or lipid nanodiscs and apply appropriate structural biology techniques, though these approaches represent significant technical challenges for membrane proteins like mll7841.
Pull-down Assays and Co-immunoprecipitation:
Use His-tagged mll7841 as bait protein with Rhizobium loti lysate
Identify interacting partners by mass spectrometry
Validate interactions through reciprocal pull-downs or co-immunoprecipitation
Apply detergent screens to maintain membrane protein interactions
Bacterial Two-Hybrid Systems:
Develop constructs with mll7841 fused to split reporter protein domains
Screen against Rhizobium loti genomic library
Identify positive interactions through reporter activation
Verify with orthogonal methods like FRET or BiFC
In vivo Crosslinking:
Express mll7841 with photo-activatable or chemical crosslinkers
Induce crosslinking in living bacteria under relevant conditions
Isolate complexes and identify components by mass spectrometry
Map interaction sites through crosslink position analysis
Interpretation Framework:
Compare interacting partners with known symbiosis or membrane organization factors
Analyze interactions under different physiological conditions (free-living vs. symbiotic)
Connect findings to Rhizobium-Lotus symbiosis molecular mechanisms
Gene Knockout and Complementation Studies:
Generate mll7841 deletion mutants in Rhizobium loti
Assess mutant phenotypes in:
Free-living growth conditions
Plant infection efficiency
Nodule formation and development
Nitrogen fixation capacity
Complement with wild-type and mutant versions of mll7841
Quantify restoration of symbiotic phenotypes
Transcriptional Profiling:
Compare mll7841 expression across developmental stages of symbiosis
Identify co-regulated genes through RNA-Seq analysis
Map to known symbiotic pathways and regulons
Validate expression patterns with qRT-PCR and reporter fusions
Microscopy-Based Approaches:
Generate fluorescently tagged mll7841 constructs
Track localization during bacterial infection and nodule development
Co-localize with known symbiosis markers
Correlate localization patterns with specific symbiotic stages
Host Genotype Influence Analysis:
This approach would examine how different Lotus genotypes affect mll7841 function, similar to how Rhizobium leguminosarum studies showed host genotype determines infection patterns :
| Host Plant | Infection Phenotype | Nodule Development | Nitrogen Fixation |
|---|---|---|---|
| Lotus burttii | Infected nodules formed | Complete | Functional |
| Lotus glaber | Tumor-like structures | Incomplete | Impaired |
| Additional Lotus species | To be determined | To be determined | To be determined |
Super-Resolution Microscopy Approaches:
PALM/STORM for Nanoscale Localization:
Tag mll7841 with photoactivatable fluorescent proteins
Achieve 20-30 nm resolution to visualize membrane distribution
Quantify clustering or dispersion in different symbiotic stages
Single-Molecule Tracking:
Label mll7841 sparsely to track individual molecules
Calculate diffusion coefficients in different membrane regions
Identify confined regions suggesting functional membrane domains
FRET-Based Interaction Mapping:
Generate donor-acceptor pairs with potential interaction partners
Measure FRET efficiency in living bacteria during infection
Map interaction networks temporally during symbiosis progression
Sample Preparation Considerations:
Develop fixation protocols preserving membrane structures
Optimize infection and nodulation stages for imaging
Design microfluidic devices for live imaging of infection processes
Data Analysis Framework:
Apply particle tracking algorithms to quantify movement parameters
Use cluster analysis to identify membrane domain formation
Correlate localization patterns with infection efficiency metrics
Phylogenetic Analysis Framework:
Identify mll7841 homologs across rhizobial and related bacterial species
Construct phylogenetic trees to map evolutionary relationships
Calculate selection pressure (dN/dS ratios) on different protein regions
Correlate conservation patterns with host specificity traits
Synteny Analysis:
Examine genomic context of mll7841 across species
Identify conserved gene neighborhoods or operonic structures
Map rearrangements or horizontal gene transfer events
Connect genomic organization to functional pathways
Host Range Correlation:
Compare mll7841 sequence variations between rhizobia with different host specificities
Identify potential host-specificity determinant regions
Test chimeric proteins through cross-species complementation
Establish structure-function relationships for host recognition
Evolutionary Rate Analysis:
Calculate evolutionary rates across different protein domains
Identify regions under purifying or diversifying selection
Connect evolutionary patterns to functional constraints or adaptations
Develop hypotheses about key functional residues for experimental validation
Comparative Analysis with Other UPF0060 Family Members:
Align mll7841 with structurally characterized UPF0060 proteins
Identify conserved structural motifs across bacterial phyla
Map sequence conservation onto structural models
Generate hypotheses about functional mechanisms based on conserved features
Integration with Systems Biology Approaches:
Map mll7841 into protein-protein interaction networks
Identify functional modules containing mll7841
Connect to broader cellular pathways through network analysis
Develop predictive models for membrane protein organization
Translation to Biotechnology Applications:
Evaluate mll7841 as a potential scaffold for membrane protein engineering
Assess utility in synthetic biology applications for plant-microbe interactions
Explore potential as a target for enhancing symbiotic relationships
Develop methodologies applicable to other challenging membrane proteins
Epitope Selection Strategy:
Analyze predicted topology to identify exposed regions
Synthesize peptides corresponding to hydrophilic loops
Use bioinformatic tools to select regions with:
High antigenicity scores
Low sequence similarity to host proteins
Minimal post-translational modification sites
Production Approaches:
Peptide Antibodies:
Generate KLH-conjugated peptides from predicted exposed regions
Immunize rabbits or mice using standard protocols
Purify antibodies through affinity chromatography
Recombinant Antibody Fragments:
Screen phage display libraries against purified mll7841
Select high-affinity binders through iterative panning
Express and purify single-chain antibodies or nanobodies
Validation Protocol:
Test specificity against purified protein by Western blot
Verify recognition of native protein in membrane fractions
Confirm specificity through genetic knockouts as negative controls
Assess cross-reactivity with related proteins from other species
Application-Specific Optimization:
For immunofluorescence: Optimize fixation to preserve epitope accessibility
For immunoprecipitation: Test detergent compatibility with epitope recognition
For ELISA development: Determine optimal coating conditions and detection limits
Transport Assay Development:
Reconstitute purified mll7841 in proteoliposomes
Load vesicles with fluorescent reporter molecules
Measure fluorescence changes upon substrate addition
Characterize transport kinetics and substrate specificity
Protein-Lipid Interaction Assays:
Employ lipid overlay assays with varied membrane lipids
Analyze lipid preferences through liposome binding assays
Study effects of lipid composition on protein activity
Connect lipid interactions to functional hypotheses
Structural Dynamics Studies:
Introduce site-specific labels (fluorophores or EPR probes)
Measure conformational changes under different conditions
Correlate structural dynamics with functional states
Develop structural models of the functional cycle
High-Throughput Screening Approaches:
Design fluorescence-based assays adaptable to multiwell formats
Screen compound libraries for modulators of mll7841 activity
Validate hits through secondary assays and structure-activity relationships
Develop chemical tools for functional analysis in vivo