KEGG: bam:Bamb_1160
Bamb_1160 is a UPF0060 family membrane protein from Burkholderia ambifaria with a full length of 110 amino acids. The protein has the following characteristics:
Amino Acid Sequence: MTELMKIAALFAVTALAEIVGCYLPWLVLKGGRPVWLLVPAALSLALFAWLLTLHPSAAGRTYAAYGGVYIAVALIWLRVVDGVALTRWDAAGAVLALGGMAVIALQPRA
Source Organism: Burkholderia ambifaria (strain ATCC BAA-244 / AMMD)
The protein is predicted to be a transmembrane protein based on its hydrophobic regions and membrane localization signals, though crystallographic data is not currently available in the literature for full structural determination .
For optimal stability and functionality, recombinant Bamb_1160 protein should be stored according to the following guidelines:
Short-term storage: Working aliquots can be stored at 4°C for up to one week
Storage buffer: Typically stored in Tris/PBS-based buffer with 6% Trehalose, pH 8.0
Important note: Repeated freeze-thaw cycles are not recommended as they can lead to protein degradation and loss of activity
For lyophilized preparations, reconstitution should be performed by briefly centrifuging the vial prior to opening, then reconstituting in deionized sterile water to a concentration of 0.1-1.0 mg/mL. Adding glycerol to a final concentration of 5-50% (typically 50%) is recommended before aliquoting for long-term storage .
Burkholderia ambifaria is a member of the Burkholderia cepacia complex (BCC), a group of closely related bacteria within the genus Burkholderia. The taxonomic position can be understood as follows:
| Taxonomic Level | Classification |
|---|---|
| Domain | Bacteria |
| Phylum | Proteobacteria |
| Class | Betaproteobacteria |
| Order | Burkholderiales |
| Family | Burkholderiaceae |
| Genus | Burkholderia |
| Complex | Burkholderia cepacia complex (BCC) |
| Species | Burkholderia ambifaria |
The BCC contains several species including B. cepacia, B. multivorans, B. cenocepacia, B. vietnamiensis, and B. ambifaria among others . Originally identified from the rhizosphere of plants, B. ambifaria has been found to be less commonly associated with human infections compared to other BCC species like B. cenocepacia .
Expression and purification of recombinant Bamb_1160 can be optimized using several methodological approaches:
Expression System Selection:
E. coli: Most commonly used host for Bamb_1160 expression, with successful results reported using standard expression strains
Mammalian cells: Alternative expression system that may provide different post-translational modifications, though typically with lower yields
Optimization Protocol:
Vector design: Incorporate N-terminal His-tag for simplified purification, using vectors with strong promoters (T7 or tac)
Expression conditions:
IPTG concentration: 0.1-1.0 mM
Temperature: Lower temperature (16-25°C) may improve membrane protein folding
Duration: 4-16 hours post-induction
Cell lysis: Use detergent-based methods (e.g., n-dodecyl-β-D-maltoside) to solubilize membrane proteins
Purification strategy:
IMAC (Immobilized Metal Affinity Chromatography) using Ni-NTA resin
Optional secondary purification: Size exclusion chromatography
Quality Control Assessment:
Western blot: Confirm identity using anti-His antibodies
Mass spectrometry: Validate protein mass and integrity
For membrane proteins like Bamb_1160, introducing mild detergents during purification is crucial for maintaining protein stability and preventing aggregation while preserving native conformation.
Several molecular detection strategies have been developed for B. ambifaria and other BCC species, with particular emphasis on nucleic acid-based methods:
Recombinase-Aided Amplification (RAA) Assay:
The RAA assay targeting the 16S rRNA gene has shown excellent sensitivity and specificity for BCC detection, including B. ambifaria:
RAA Protocol Implementation:
Design primers and probes targeting conserved regions of 16S rRNA gene
Optimize primer-probe combinations for highest amplification efficiency
Perform reaction at constant temperature (39°C) for 10 minutes
Detect amplification using fluorescence monitoring
Critical considerations for assay validation:
Test against multiple BCC species (B. cepacia, B. multivorans, B. vietnamiensis, and B. ambifaria)
Include non-BCC Burkholderia species (e.g., B. gladioli) as specificity controls
Validate with clinical samples from diverse sources
The RAA assay has demonstrated superior performance compared to conventional PCR, qPCR, and LAMP methods for BCC detection, making it particularly valuable for rapid clinical diagnostics .
While specific functions of Bamb_1160 remain to be fully elucidated, analyses based on homology, genomic context, and preliminary studies suggest several potential roles:
Predicted Membrane Functions:
Membrane integrity: As a UPF0060 family membrane protein, Bamb_1160 likely contributes to cell envelope structure and stability
Transport: May participate in small molecule transport across the bacterial membrane, though specific substrates remain unidentified
Signaling: Potential involvement in environmental sensing or signal transduction pathways
Genomic Context Insights:
Genomic analyses of B. ambifaria reveal that membrane proteins like Bamb_1160 exist within a complex network of functional elements, including:
Specialized metabolite biosynthetic gene clusters (BGCs)
Antimicrobial compound production systems
Research Gaps and Opportunities:
Functional knockout studies are needed to determine essentiality
Interactome analysis could reveal protein-protein interaction partners
Comparative analysis with homologs in other Burkholderia species may illuminate evolutionary conservation
Understanding Bamb_1160's function remains an open question that requires further investigation using techniques such as gene knockout, protein interaction studies, and localization experiments.
B. ambifaria has significant potential for agricultural applications, particularly as a biocontrol agent and plant growth promoter:
Demonstrated Agricultural Applications:
Biocontrol of Plant Pathogens:
Plant Growth Promotion Activities:
Mechanism of Action Table:
Research Considerations:
Despite its biocontrol potential, B. ambifaria was previously registered as a biopesticide (e.g., Blue Circle) but withdrawn due to potential human health risks
Recent studies suggest strain BCC0191 did not cause disease in a murine respiratory infection model, renewing interest in its biopesticide applications
Researchers should implement appropriate containment measures when working with BCC organisms
Effective utilization requires balancing agricultural benefits against potential risks, particularly for immunocompromised individuals .
Investigating protein-protein interactions (PPIs) of Bamb_1160 requires specialized techniques suitable for membrane proteins:
Recommended PPI Investigation Methods:
Membrane Yeast Two-Hybrid (MYTH) System:
Specifically designed for membrane proteins
Split-ubiquitin based detection system
Protocol optimization would include:
Ensuring proper membrane insertion
Screening against genomic or custom libraries
Validation of positive interactions with secondary assays
Co-Immunoprecipitation with Crosslinking:
Chemical crosslinking preserves transient interactions
Anti-His antibodies can target recombinant His-tagged Bamb_1160
Mass spectrometry analysis of co-precipitated proteins
Detergent selection is critical for maintaining membrane protein solubility
Proximity-Dependent Biotin Identification (BioID):
Fusion of biotin ligase to Bamb_1160
In vivo biotinylation of proximal proteins
Streptavidin-based purification followed by MS identification
Particularly useful for identifying weak or transient interactions
Surface Plasmon Resonance (SPR):
For validating specific interactions with candidate proteins
Requires successful reconstitution in lipid nanodiscs or detergent micelles
Provides quantitative binding parameters (Kd, kon, koff)
Challenges and Solutions:
Membrane protein solubility: Use appropriate detergents (DDM, CHAPS, or digitonin)
Confirmation bias: Implement proper negative controls and statistical analysis
Technical artifacts: Verify interactions using orthogonal techniques
These approaches can help uncover the interactome of Bamb_1160, potentially revealing its functional role in B. ambifaria biology.
Comparative genomics of Bamb_1160 homologs can provide insights into evolutionary conservation, functional importance, and species-specific adaptations:
Methodological Framework:
Homolog Identification:
Use BLAST/HMMER searches against Burkholderia genomes
Implement reciprocal best hit approach to identify true orthologs
Include distant homologs from related genera for broader evolutionary context
Sequence Alignment and Analysis:
Multiple sequence alignment using MUSCLE or MAFFT algorithms
Conservation analysis to identify invariant residues (potential functional sites)
Detect selection signatures using dN/dS ratio analysis
Analyze transmembrane topology conservation using programs like TMHMM
Phylogenetic Analysis:
Construct maximum likelihood or Bayesian phylogenetic trees
Compare gene tree with species tree to detect horizontal gene transfer events
Assess congruence between UPF0060 family evolution and Burkholderia speciation
Genomic Context Analysis:
Analyze synteny of surrounding genes across species
Identify co-evolved gene clusters that may indicate functional relationships
Examine regulatory elements in promoter regions
Example Comparative Analysis Targets:
B. cepacia complex members (BCC)
Non-BCC Burkholderia species
More distant relatives including Ralstonia and Pseudomonas species
Expected Outcomes:
Identification of conserved functional motifs
Detection of species-specific adaptations
Insights into evolutionary history and potential functional divergence
Correlation with ecological niches and pathogenicity patterns
This approach may reveal whether Bamb_1160 function is conserved across Burkholderia species or has undergone functional divergence in plant-associated versus pathogenic lineages.
Understanding the localization and membrane topology of Bamb_1160 requires specialized techniques adapted for bacterial membrane proteins:
Experimental Approaches for Localization and Topology:
GFP Fusion Protein Analysis:
C-terminal and N-terminal GFP fusions to determine membrane orientation
Microscopy to visualize subcellular localization
Flow cytometry for quantitative assessment
Note: GFP folding may be compromised in periplasmic locations
Cysteine Scanning Mutagenesis:
Systematic replacement of residues with cysteine
Selective labeling with membrane-impermeable sulfhydryl reagents
Determination of cytoplasmic versus periplasmic exposure
Protocol requires Cys-less version of Bamb_1160 as starting template
Protease Accessibility Assay:
Controlled proteolysis of spheroplasts versus intact cells
Western blot analysis of digestion patterns
Identification of exposed versus protected domains
Can be combined with epitope tagging strategies
Immunolocalization Methods:
Generation of specific antibodies or use of anti-His for recombinant protein
Immunogold electron microscopy for precise localization
Fractionation followed by immunoblotting to determine membrane association
Computational Prediction Validation:
Experimental validation of transmembrane domains predicted by programs like TMHMM, MEMSAT, or Phobius
Comparison of experimental results with AlphaFold structural predictions
Reconciliation of computational predictions with experimental data
Practical Considerations:
Expression level control to avoid artifacts from overexpression
Confirmation that tags/fusions don't disrupt native localization
Use of multiple complementary approaches to build confidence in results
Appropriate controls for each technique
These methodological approaches will provide crucial insights into how Bamb_1160 is integrated into the bacterial membrane, informing hypotheses about its functional role.
Membrane proteins like Bamb_1160 present specific challenges in recombinant expression and purification. Here are common issues and solutions:
| Problem | Potential Solutions |
|---|---|
| Toxicity to host cells | Use tightly regulated expression systems (e.g., pET with T7 lysozyme) |
| Use lower growth temperatures (16-25°C) | |
| Consider use of specialized E. coli strains (C41/C43, Lemo21) | |
| Codon bias | Optimize codons for expression host |
| Use strains with additional tRNAs for rare codons (e.g., Rosetta) |
| Problem | Potential Solutions |
|---|---|
| Improper folding | Reduce expression rate (lower IPTG, lower temperature) |
| Add membrane-mimetic compounds (mild detergents) | |
| Co-express with chaperones (GroEL/ES, DnaK) | |
| Inclusion body formation | Consider refolding protocols from inclusion bodies |
| Use fusion partners that enhance solubility (MBP, SUMO) |
| Problem | Potential Solutions |
|---|---|
| Poor solubilization | Screen multiple detergents (DDM, LDAO, Fos-choline) |
| Test detergent concentrations above CMC | |
| Consider mixed micelle systems (detergent + lipid) | |
| Low binding to affinity resin | Ensure tag accessibility (length of linker, position) |
| Optimize binding conditions (salt, pH, imidazole) | |
| Protein instability | Add stabilizing agents (glycerol, reducing agents) |
| Minimize time between purification steps |
| Problem | Potential Solutions |
|---|---|
| Activity loss during purification | Reconstitute into liposomes or nanodiscs |
| Include native-like lipids during purification | |
| No established functional assay | Develop binding assays for potential ligands |
| Test membrane integration in artificial systems |
Recommended Workflow:
Begin with multiple constructs (varying tags, positions)
Screen expression conditions in small scale
Optimize solubilization and purification for best-performing constructs
Verify protein quality by multiple methods (SDS-PAGE, size exclusion chromatography, mass spectrometry)
Establish functional assays based on predicted roles
These strategies help overcome the inherent challenges of working with membrane proteins like Bamb_1160.
Investigating interactions between bacterial proteins like Bamb_1160 and host components requires careful experimental design to account for multiple complexities:
Host System Selection Considerations:
Relevance to natural infection/colonization:
Human cell lines for studying opportunistic pathogen interactions
Plant cell systems for investigating rhizosphere interactions
Animal models for in vivo validation
Cell type selection:
Epithelial cells (respiratory or intestinal) for mucosa interaction studies
Immune cells (macrophages, neutrophils) for host defense studies
Plant root cells for rhizosphere colonization studies
Experimental Design Framework:
| Approach | Methodology | Considerations |
|---|---|---|
| Protein Delivery | Purified protein introduction | May require permeabilization or delivery systems |
| Heterologous expression in host cells | Potential toxicity; use inducible systems | |
| Bacterial secretion systems | Natural delivery but complex experimental system | |
| Interaction Detection | Co-immunoprecipitation | Requires antibodies or epitope tags |
| Proximity labeling (BioID, APEX) | Provides spatial context; requires genetic engineering | |
| Pull-down assays | May identify non-physiological interactions | |
| Fluorescence microscopy | Visualizes co-localization but not direct interaction | |
| Functional Validation | Mutagenesis of interaction sites | Confirm specificity of interaction |
| Competitive inhibition | Use peptides/antibodies to block interaction | |
| Phenotypic assays | Connect interactions to biological outcomes |
Controls and Validation:
Non-UPF0060 membrane proteins as negative controls
Known interacting protein pairs as positive controls
Multiple detection methods to confirm interactions
Dose-dependency and kinetic analyses for quantitative assessment
Correlation with infection/colonization phenotypes
Potential Pitfalls and Solutions:
Artificial interactions due to overexpression: Use physiological expression levels
Non-native conformations: Ensure proper membrane integration
Indirect interactions: Distinguish direct from complex-mediated interactions
Host response artifacts: Include appropriate controls for host cell stress responses
These considerations will help design robust experiments to investigate biologically relevant interactions between Bamb_1160 and host components.
Several promising research avenues can help elucidate the functional role of Bamb_1160:
1. Genetic Manipulation Approaches:
CRISPR-Cas9 mediated gene knockout to assess essentiality and phenotypic effects
Conditional expression systems to study effects of protein depletion
Site-directed mutagenesis of conserved residues to identify functional domains
Complementation studies with homologs from related species
2. Structural Biology Investigations:
Cryo-EM analysis of purified protein in membrane-like environments
X-ray crystallography following successful crystallization
NMR studies of specific domains or peptide fragments
Comparison with AlphaFold or RoseTTAFold predictions for validation
3. Functional Screening Approaches:
Ligand binding assays using diverse chemical libraries
Bacterial two-hybrid screens to identify interaction partners
Phenotypic screening under various stress conditions
Metabolomic analysis of knockout vs. wild-type strains
4. Systems Biology Integration:
Transcriptomic analysis of differential gene expression in knockout strains
Proteomics to identify changes in membrane protein composition
Network analysis to position Bamb_1160 in cellular pathways
Comparative genomics across Burkholderia species with different ecological niches
5. Host-Microbe Interaction Studies:
Analysis of Bamb_1160 role in plant colonization
Investigation of potential immunomodulatory effects
Contribution to biofilm formation and persistence
Role in environmental adaptation and stress responses
Expected Impact:
Elucidating Bamb_1160 function would provide insights into fundamental aspects of Burkholderia biology, potentially revealing:
Novel membrane transport mechanisms
Previously unknown signaling pathways
Targets for antimicrobial development
Determinants of environmental persistence and adaptation
Bamb_1160 presents several opportunities for diagnostic method development, particularly given the clinical significance of Burkholderia infections:
Immunodiagnostic Approaches:
Development of monoclonal antibodies against Bamb_1160
Lateral flow immunochromatographic assays for rapid detection
ELISA-based quantitative detection methods
Immunofluorescence techniques for direct sample visualization
Nucleic Acid Detection Strategies:
Species-specific PCR targeting bamb_1160 gene
Isothermal amplification methods (LAMP, RAA) for point-of-care testing
qPCR with high-resolution melt curve analysis for species differentiation
Next-generation sequencing approaches for complex sample analysis
Emerging Technologies Applications:
CRISPR-Cas12/Cas13-based detection systems
Aptamer-based biosensors for Bamb_1160 detection
Nanopore sequencing for rapid identification
Mass spectrometry-based proteomic identification
Clinical Implementation Considerations:
| Diagnostic Approach | Advantages | Limitations | Development Requirements |
|---|---|---|---|
| Antibody-based tests | Rapid results (minutes) | Lower specificity | Specific antibody development and validation |
| Molecular assays | High sensitivity and specificity | Equipment dependent | Primer/probe design and clinical validation |
| MS-based detection | High throughput capability | Complex sample preparation | Reference spectra database development |
| Biosensor technology | Point-of-care application | Technology maturity | Bamb_1160-specific binding elements |
Diagnostic Value Assessment:
Specificity within the Burkholderia genus
Sensitivity compared to current gold standards
Performance in complex clinical specimens
Correlation with viable bacterial counts
Ability to differentiate BCC species
The development of Bamb_1160-based diagnostics could improve detection speed and accuracy for Burkholderia infections, particularly in high-risk populations such as cystic fibrosis patients and immunocompromised individuals.
Several significant research gaps exist in understanding membrane proteins like Bamb_1160 in Burkholderia biology:
Fundamental Knowledge Gaps:
Structure-Function Relationships
High-resolution structural data of UPF0060 family proteins in Burkholderia
Identification of functional domains and critical residues
Conformational changes during potential transport/signaling activities
Regulatory Networks
Transcriptional regulation under various environmental conditions
Post-translational modifications affecting function
Integration with other cellular signaling systems
Evolutionary Context
Selection pressures driving UPF0060 protein evolution
Horizontal gene transfer patterns across Burkholderia species
Adaptive significance in different ecological niches
Pathogenesis and Host Interaction Gaps:
Contribution to Virulence
Role in survival within host cells
Involvement in immune evasion strategies
Potential recognition by host immune receptors
Host Range Determinants
Factors influencing plant versus mammalian host specificity
Adaptation to different host microenvironments
Contribution to host switching capabilities
Environmental Adaptation Research Needs:
Stress Response Mechanisms
Function during antimicrobial exposure
Adaptation to pH, temperature, and osmotic stress
Role in nutrient acquisition from diverse environments
Community Interactions
Contribution to competitive fitness in polymicrobial communities
Role in biofilm formation and maintenance
Function in interspecies communication
Technological Challenges to Address:
In vivo Functional Assessment
Development of suitable animal and plant models
Methods for tracking protein dynamics in real-time
Tools for manipulating membrane proteins in native contexts
Multi-omics Integration
Correlation of genomic, transcriptomic, and proteomic data
Metabolic modeling incorporating membrane protein functions
Systems biology approaches to context-dependent function