The recombinant Hahella chejuensis Protein CrcB homolog (crcB) is a bacterial protein expressed in Escherichia coli for research purposes. It is annotated as a putative fluoride ion transporter and belongs to the CrcB protein family. Below is a structured analysis of its characteristics, expression, and functional annotations based on available data.
The protein is recombinantly expressed in E. coli with a His-tag for affinity purification. Post-expression, it is lyophilized in a Tris/PBS-based buffer containing 6% trehalose to enhance stability. Storage recommendations include:
Repeated freeze-thaw cycles are discouraged to maintain protein integrity .
The recombinant CrcB homolog is marketed for research use, particularly in studies involving bacterial ion transport or protein biochemistry. Critical handling notes include:
Reconstitution: Dissolve in deionized water (0.1–1.0 mg/mL) with optional glycerol (50% default) .
Stability: Lyophilized powder is stable at -20°C/-80°C; avoid repeated freeze-thaw cycles .
While commercial sources provide structural and biochemical data, functional studies on CrcB remain limited. Potential avenues for investigation include:
Transport Activity: Confirming fluoride ion transport using electrophysiological assays.
Structural Biology: Determining X-ray crystallography or cryo-EM structures to elucidate substrate binding.
Genomic Context: Exploring interactions with other H. chejuensis ion transport systems or regulatory networks .
Important Function: This protein plays a crucial role in reducing intracellular fluoride concentration, thereby mitigating its toxicity.
KEGG: hch:HCH_02448
STRING: 349521.HCH_02448
Hahella chejuensis is a marine bacterium first sequenced in the Oceanospiralles clade, with a genome size of approximately 7.2 megabases . Its significance lies primarily in its production of prodigiosin, a red pigment with algicidal properties that can mitigate harmful algal blooms . H. chejuensis has been extensively studied for its ecological role in marine environments, particularly in controlling red tide dinoflagellates. The bacterium contains numerous biosynthetic gene clusters that produce various secondary metabolites with potential biotechnological applications, including antimicrobial compounds . Its genome is well-equipped with genes for basic metabolic capabilities and contains a large number of genes involved in regulation or transport, characteristic of a marine heterotroph .
The CrcB homolog protein in Hahella chejuensis (strain KCTC 2396) is a membrane protein encoded by the crcB gene (HCH_02448) . While the specific function of the CrcB homolog in H. chejuensis hasn't been completely characterized, CrcB proteins generally function as fluoride ion channels in bacteria, providing protection against fluoride toxicity by exporting fluoride ions from the cell. The protein consists of 127 amino acids and has a characteristic membrane-spanning structure with hydrophobic regions, as evidenced by its amino acid sequence: MSVPHLVYVALGGALGAVSRYLIVAWVSNVAGAKFPWGTLAVNLLGSFLLGTAFVYVVEKLHGQPELRSLIMVGFLGALTTFSTFSLEAWSLMQSDQLLQGLAYILMSVILCLFAVSAGIALTRLIL . Understanding this protein's structure and function contributes to broader knowledge of ion transport mechanisms and bacterial adaptation to environmental stressors.
The CrcB homolog in Hahella chejuensis shares structural similarities with fluoride channels found in other bacterial species, but likely has adaptations specific to the marine environment. Phylogenetic analysis places H. chejuensis as distantly related to the Pseudomonas group, suggesting potential evolutionary divergence in the CrcB protein structure and function . The protein's hydrophobic regions (visible in the amino acid sequence provided in the product documentation) indicate transmembrane domains consistent with its role as an ion channel . Advanced structural analysis techniques such as X-ray crystallography or cryo-electron microscopy would be necessary to determine precise structural differences between the H. chejuensis CrcB homolog and those from other bacterial species. Functional differences might include adaptations to high salt concentrations, variable pH, or specific ion compositions found in marine environments. Comparative genomic analysis coupled with protein modeling could reveal conservation patterns in key functional domains and species-specific variations.
The relationship between the CrcB homolog and prodigiosin biosynthesis represents a complex research question that requires investigation of potential regulatory interactions. Prodigiosin biosynthesis in H. chejuensis involves a cluster of 14 ORFs with high similarities to the red (undecylprodiginine biosynthesis) gene cluster . While there is no direct evidence in the provided search results linking the CrcB homolog to prodigiosin biosynthesis, several hypothetical interactions could exist:
Ion homeostasis regulated by CrcB may affect enzyme activity within the prodigiosin biosynthetic pathway
Co-regulation of crcB and prodigiosin genes under specific environmental conditions
Potential involvement in export or trafficking of pathway intermediates
Research to establish these connections would require techniques such as gene knockout studies, transcriptomic analysis under varying conditions, and protein-protein interaction assays. The elucidation of such interactions would contribute significantly to understanding the integrated cellular processes in H. chejuensis.
As a membrane protein likely involved in ion transport, the CrcB homolog may play a crucial role in adapting H. chejuensis to variable marine environments . Marine bacteria face fluctuating conditions including changes in salinity, pH, temperature, and the presence of toxic compounds. If the CrcB homolog functions similarly to other bacterial CrcB proteins, it would protect H. chejuensis from fluoride toxicity, which can be relevant in marine environments where fluoride concentrations can vary. Additionally, the protein might have evolved additional or modified functions specific to the ecological niche of H. chejuensis. The genomic context analysis reveals that H. chejuensis contains numerous genes associated with environmental adaptation, including those for iron utilization and response to stressors . Investigating the expression patterns of the crcB gene under various environmental conditions (temperature, salinity, pH, presence of competitors or predators) would provide insights into its role in ecological adaptation.
Based on available data and standard protocols for membrane proteins, the following methodological approach is recommended for optimal expression and purification of recombinant H. chejuensis CrcB homolog protein:
Expression System Selection: E. coli BL21(DE3) or C41(DE3) strains are recommended for membrane protein expression, with consideration for codon optimization based on the H. chejuensis sequence.
Vector Design: Incorporate a fusion tag (His6, MBP, or GST) for detection and purification, with a protease cleavage site for tag removal if necessary.
Expression Conditions:
Initial induction at lower temperatures (16-20°C) to prevent inclusion body formation
IPTG concentration: 0.1-0.5 mM
Duration: 16-24 hours
Media: 2XYT or auto-induction media supplemented with appropriate antibiotics
Membrane Extraction and Solubilization:
Cell lysis via sonication or French press in buffer containing protease inhibitors
Membrane fraction isolation through differential centrifugation
Solubilization using mild detergents (DDM, LDAO, or C12E8)
Purification Strategy:
IMAC (Immobilized Metal Affinity Chromatography) using Ni-NTA for His-tagged proteins
Size exclusion chromatography for final polishing
Buffer optimization containing appropriate detergent above CMC
Storage Considerations: Store in Tris-based buffer with 50% glycerol at -20°C for extended storage, or at -80°C for longer periods. Working aliquots can be maintained at 4°C for up to one week .
This approach should yield purified protein suitable for structural and functional studies while maintaining native conformation of this membrane protein.
Characterizing the ion channel activity of the CrcB homolog requires specialized techniques that can measure ion flux across membranes. The following methodological approaches are recommended:
Liposome-Based Flux Assays:
Reconstitution of purified CrcB homolog into liposomes with defined lipid composition
Loading liposomes with fluorescent ion indicators (e.g., SBFI for sodium, PBFI for potassium)
Measuring fluorescence changes upon ion gradient establishment
Specific focus on fluoride ion transport using fluoride-sensitive probes
Planar Lipid Bilayer Electrophysiology:
Formation of artificial lipid bilayers incorporating the CrcB homolog
Voltage-clamp recordings to measure ion currents
Analysis of channel conductance, ion selectivity, and gating properties
Testing response to different ion concentrations and membrane potentials
Patch-Clamp Analysis of Reconstituted Vesicles:
Giant unilamellar vesicles (GUVs) containing CrcB homolog
Patch-clamp recordings to capture single-channel activity
Determination of channel opening probability and conductance states
Cell-Based Assays:
Expression in mammalian cells or oocytes
Whole-cell patch-clamp recordings
Fluoride toxicity rescue experiments in CrcB-deficient bacterial strains
Computational Approaches:
Molecular dynamics simulations to predict ion permeation pathways
Homology modeling based on known CrcB structures
Docking studies with potential channel blockers
These techniques, used in combination, would provide comprehensive insights into the ion transport properties of the CrcB homolog and its physiological relevance in H. chejuensis.
To elucidate the regulation of crcB gene expression in H. chejuensis, several genomic and transcriptomic approaches can be employed:
Promoter Analysis and Characterization:
In silico identification of potential promoter elements and transcription factor binding sites
Reporter gene assays using the crcB promoter region fused to reporter genes (GFP, luciferase)
DNA footprinting to identify protein-DNA interactions at the promoter
RNA-Seq Analysis:
Transcriptome profiling under various environmental conditions (salinity, pH, temperature, nutrient availability)
Differential expression analysis to identify conditions affecting crcB expression
Co-expression network analysis to identify genes with similar expression patterns
ChIP-Seq (Chromatin Immunoprecipitation Sequencing):
Identification of transcription factors binding to the crcB promoter region
Genome-wide mapping of protein-DNA interactions
CRISPR-Cas9 Mediated Genome Editing:
Creation of crcB knockout or reporter strains
Analysis of phenotypic changes and gene expression patterns in modified strains
5' RACE (Rapid Amplification of cDNA Ends):
Precise mapping of transcription start sites
Identification of alternative promoters if present
RT-qPCR:
Targeted quantification of crcB expression under specific conditions
Validation of RNA-Seq findings
Time-course studies to capture expression dynamics
These approaches would provide comprehensive insights into the regulatory mechanisms controlling crcB expression and its integration within the broader transcriptional networks of H. chejuensis.
A systematic experimental design to investigate potential interactions between the CrcB homolog and prodigiosin biosynthesis should include the following elements:
Genetic Manipulation Studies:
Generate crcB knockout and overexpression strains in H. chejuensis
Quantify prodigiosin production in these strains under various conditions
Create reporter fusion constructs to visualize expression patterns
Employ complementation studies to verify phenotype specificity
Transcriptomic Analysis:
Metabolomic Profiling:
Implement LC-MS/MS analysis to detect and quantify prodigiosin and intermediates
Compare metabolite profiles between wild-type and crcB mutant strains
Conduct isotope labeling studies to track metabolic flux through the pathway
Protein-Protein Interaction Studies:
Perform co-immunoprecipitation experiments with tagged CrcB homolog
Utilize bacterial two-hybrid system to screen for interactions with prodigiosin biosynthetic enzymes
Conduct crosslinking studies followed by mass spectrometry to identify interacting proteins
Ion Homeostasis Measurements:
Measure intracellular ion concentrations in wild-type and crcB mutant strains
Correlate ion levels with prodigiosin production
Test the effect of external ion supplementation on prodigiosin synthesis
Environmental Response Analysis:
Test the response to various environmental triggers (pH, temperature, nutrient availability)
Compare prodigiosin production across a matrix of conditions
Analyze crcB expression in response to the same conditions
This multi-faceted approach would provide comprehensive insights into any functional relationships between the CrcB homolog and prodigiosin biosynthesis in H. chejuensis.
When conducting experiments with recombinant H. chejuensis CrcB homolog protein, the following essential control experiments should be included:
Expression System Controls:
Empty vector control (host cells transformed with vector lacking the crcB gene)
Non-induced control (cells containing the expression construct but not induced)
Positive control (expression of a well-characterized protein using the same system)
Protein Purification Controls:
Purification from empty vector cells to identify host proteins that co-purify
Western blot analysis with tag-specific antibodies to confirm identity
Mass spectrometry verification of purified protein
Size exclusion chromatography to confirm homogeneity
Functional Assay Controls:
Heat-denatured protein control to distinguish active protein function from non-specific effects
Alternative ion channels as positive controls for ion transport assays
Buffer-only and detergent-only controls to account for non-protein effects
Concentration gradients to establish dose-dependent relationships
Membrane Reconstitution Controls:
Liposomes or membrane systems without protein
Reconstitution with non-channel membrane proteins
Varying lipid compositions to account for membrane effects
Stability and Storage Controls:
Fresh vs. stored protein comparisons
Freeze-thaw cycle analysis to determine functional stability
Different buffer conditions to optimize activity preservation
Species-Specific Controls:
Parallel experiments with CrcB homologs from related species
Comparison with other fluoride channels from diverse organisms
These control experiments ensure that observed effects are specifically attributable to the functional CrcB homolog protein and help identify potential artifacts or limitations in the experimental system.
To effectively investigate the role of the CrcB homolog in H. chejuensis adaptation to environmental stressors, researchers should implement the following comprehensive experimental design:
Stress Response Profiling:
Subject wild-type H. chejuensis to a matrix of environmental stressors:
Salinity gradients (0.5% to 10% NaCl)
pH ranges (pH 5.0 to 9.0)
Temperature variations (4°C to 45°C)
Fluoride concentrations (0.1 mM to 50 mM)
Heavy metal exposure (Cu, Zn, Cd, Hg)
Oxidative stress (H₂O₂, paraquat)
Measure growth rates, survival, and metabolic activities
Quantify crcB expression levels under each condition using RT-qPCR
Genetic Manipulation Approach:
Create crcB knockout, knockdown, and overexpression strains
Compare stress responses of modified strains to wild-type
Conduct complementation studies with native and mutated versions of crcB
Perform genome-wide fitness screening (Tn-seq) under stress conditions
Physiological Assessment:
Measure membrane potential changes using voltage-sensitive dyes
Quantify intracellular pH during stress exposure
Monitor ion fluxes using fluorescent indicators
Assess membrane integrity during stress using dye exclusion assays
Omics Integration:
Transcriptome analysis comparing wild-type and crcB mutants under stress
Proteome profiling to identify stress-responsive protein networks
Metabolomics to detect alterations in metabolic pathways during stress
Lipidomics to characterize membrane composition changes
In situ Ecological Studies:
Design microcosm experiments mimicking natural marine environments
Compare colonization and persistence of wild-type and crcB mutants
Analyze competitive fitness in mixed populations under fluctuating conditions
Evolutionary Analysis:
Compare crcB sequences across Hahella isolates from diverse environments
Identify signatures of selection in the crcB gene
Reconstruct the evolutionary history of CrcB in marine bacteria
This multi-dimensional approach would provide comprehensive insights into the physiological role of the CrcB homolog in environmental adaptation and stress response in H. chejuensis.
When analyzing data from protein-protein interaction studies involving the CrcB homolog, researchers should implement the following analytical framework:
Primary Data Processing:
For co-immunoprecipitation (Co-IP) experiments:
Implement stringent criteria for positive interactions (signal-to-noise ratio >3)
Account for non-specific binding using appropriate negative controls
Consider enrichment relative to input rather than absolute values
For bacterial two-hybrid systems:
Establish clear thresholds for positive interactions
Conduct statistical analysis across biological replicates
Compare to known positive and negative interaction controls
Network Analysis:
Construct protein interaction networks using visualization tools (Cytoscape, String)
Apply clustering algorithms to identify functional modules
Calculate network parameters (degree, betweenness centrality) to identify hub proteins
Compare topological features with randomized networks
Validation Strategy:
Implement multiple complementary techniques (Co-IP, FRET, SPR, crosslinking-MS)
Apply Bayesian integration of data from different methods
Establish a confidence scoring system based on reproducibility
Create a validation matrix for high-confidence interactions
Structural Context:
Map interaction sites to protein domains and structural features
Perform molecular docking to assess biophysical plausibility
Evaluate conservation of interaction interfaces across homologs
Consider membrane topology constraints for this transmembrane protein
Functional Classification:
Categorize interacting proteins by cellular function and localization
Conduct Gene Ontology enrichment analysis of interaction partners
Identify overrepresented pathways or processes
Correlate with gene expression patterns under relevant conditions
This systematic approach to data analysis ensures robust interpretation of protein-protein interaction data involving the CrcB homolog, minimizing false positives while highlighting biologically significant interactions.
When analyzing functional differences between wild-type and modified CrcB homolog proteins, researchers should employ the following statistical approaches:
Experimental Design Considerations:
Power analysis to determine appropriate sample size
Randomized block design to control for batch effects
Factorial design to test multiple variables simultaneously
Technical and biological replicates (minimum n=3 for each)
Parametric Statistical Tests:
Student's t-test for pairwise comparisons (when assumptions are met)
One-way ANOVA with post-hoc tests (Tukey, Bonferroni) for multiple variant comparisons
Two-way ANOVA for examining interaction effects between variables
Repeated measures ANOVA for time-course data
Non-Parametric Alternatives:
Mann-Whitney U test for non-normally distributed data
Kruskal-Wallis test with Dunn's post-hoc for multiple comparisons
Friedman test for repeated measures with non-normal distribution
Permutation tests for small sample sizes
Advanced Statistical Methods:
Mixed-effects models for nested data structures
Multivariate analysis for simultaneous assessment of multiple parameters
Principal component analysis for dimensionality reduction
Cluster analysis for identifying functional groupings
Biological Effect Size Estimation:
Cohen's d or Hedges' g for standardized mean differences
Fold change calculations with confidence intervals
Dose-response modeling for concentration-dependent effects
EC50/IC50 determination with 95% confidence intervals
| Statistical Test | Application Scenario | Assumptions | Advantages |
|---|---|---|---|
| Paired t-test | Comparing same parameter before/after modification | Normal distribution, equal variance | Accounts for paired measurements |
| Welch's t-test | Comparing two variants with unequal variance | Normal distribution | Robust to variance heterogeneity |
| One-way ANOVA | Comparing multiple protein variants | Normal distribution, equal variance | Controls family-wise error rate |
| Mixed-effects model | Nested design with multiple factors | Appropriate covariance structure | Accounts for random and fixed effects |
| Survival analysis | Time-to-event data (e.g., protein stability) | Proportional hazards | Handles censored data |
Integrating multi-omics data to develop a comprehensive model of CrcB homolog function requires systematic data synthesis and interpretation. The following methodological framework is recommended:
Multi-omics Data Collection and Preprocessing:
Genomic data: Identify genetic context, regulatory elements, and evolutionary patterns
Transcriptomic data: Analyze expression patterns across conditions and co-expression networks
Proteomic data: Determine protein abundance, modifications, and interaction partners
Metabolomic data: Assess metabolic changes associated with CrcB function
Functional assays: Measure ion transport, stress response, and phenotypic characteristics
Data Integration Approaches:
Correlation-based methods: Calculate Pearson or Spearman correlations across datasets
Network-based integration: Construct multi-layered networks connecting genes, proteins, and metabolites
Bayesian integration: Develop probabilistic models incorporating prior knowledge
Machine learning algorithms: Implement supervised and unsupervised methods to identify patterns
Causal inference models: Establish directional relationships between variables
Systems Biology Modeling:
Constraint-based modeling: Develop flux balance analysis models incorporating CrcB
Kinetic modeling: Simulate ion transport dynamics and cellular response
Agent-based modeling: Simulate cell behavior under environmental stressors
Boolean network modeling: Capture regulatory logic governing CrcB expression
Visualization and Interpretation:
Multi-dimensional visualization techniques (PCA, t-SNE, UMAP)
Interactive visualization tools for exploring complex relationships
Pathway enrichment analysis to contextualize findings
Comparative analysis across related bacterial species
Hypothesis Generation and Validation Loop:
Derive testable hypotheses from integrated data
Design targeted experiments to validate predictions
Refine model based on experimental outcomes
Iteratively improve model accuracy and predictive power
| Data Type | Key Information | Integration Approach | Analytical Tools |
|---|---|---|---|
| Genomic | Genetic context, regulatory elements | Sequence analysis, comparative genomics | BLAST, MEME, PhyML |
| Transcriptomic | Expression patterns, co-regulation | Co-expression networks, differential expression | DESeq2, WGCNA, IPA |
| Proteomic | Protein interactions, abundance | Protein-protein interaction networks | STRING, Cytoscape, DAVID |
| Metabolomic | Metabolic impact | Pathway analysis, metabolic flux | MetaboAnalyst, KEGG |
| Functional | Phenotypic effects | Correlation with molecular data | GraphPad, R, Python |
This systematic integration of diverse data types enables the development of a holistic model of CrcB homolog function in the context of H. chejuensis biology, environmental adaptation, and potential biotechnological applications.
The exploration of the CrcB homolog in Hahella chejuensis presents several promising future research directions that could significantly advance our understanding of bacterial ion transport, environmental adaptation, and potential biotechnological applications. The most promising avenues include:
Structural Biology Approaches: Determining the high-resolution structure of the CrcB homolog using cryo-electron microscopy or X-ray crystallography would provide critical insights into its ion selectivity and transport mechanism. Combining structural data with molecular dynamics simulations could reveal the precise ion permeation pathway and gating mechanisms.
Systems Biology Integration: Developing comprehensive models that integrate the CrcB function within the broader cellular networks of H. chejuensis would enhance our understanding of how ion homeostasis influences various cellular processes, including secondary metabolite production. This approach would benefit from multi-omics data integration and network analysis.
Ecological Role Investigation: Studying the role of the CrcB homolog in natural marine environments through metatranscriptomics and in situ gene expression analysis could reveal its importance in ecological adaptations and community interactions, particularly in the context of harmful algal bloom mitigation.
Synthetic Biology Applications: Exploring the potential for engineering the CrcB homolog for enhanced ion transport or altered selectivity could lead to applications in bioremediation, biosensors, or synthetic cell design. This might include developing CrcB variants with enhanced fluoride export capabilities or altered ion selectivity.
Comparative Genomics and Evolution: Investigating the evolutionary history of the CrcB homolog across marine bacteria would provide insights into adaptive selection pressures and functional diversification. This would help contextualize the specific adaptations present in the H. chejuensis variant.
These research directions, pursued with rigorous methodology and integrative approaches, would substantially advance our understanding of the CrcB homolog and its biological significance while potentially revealing novel applications in biotechnology and environmental management.
Research on the CrcB homolog in Hahella chejuensis contributes to broader scientific understanding in multiple dimensions, with significant implications for both fundamental science and applied biotechnology:
Marine Bacterial Adaptation Mechanisms: The study of CrcB homolog provides insights into how marine bacteria maintain ion homeostasis in variable ocean environments. This knowledge enhances our understanding of microbial adaptation to changing ocean conditions, including those resulting from climate change. The functional characterization of this protein illuminates specific molecular mechanisms underlying bacterial survival in marine ecosystems, contributing to ecological models of microbial community dynamics .
Algal Bloom Control Strategies: Given H. chejuensis's role in producing algicidal compounds like prodigiosin, understanding the relationship between ion transport (via CrcB) and secondary metabolite production could inform new approaches to harmful algal bloom mitigation . This is particularly relevant as harmful algal blooms increasingly threaten marine environments, aquatic industries, and public health worldwide.
Bioprospecting for Novel Bioactive Compounds: The genomic context of the CrcB homolog within H. chejuensis, a bacterium rich in secondary metabolite biosynthetic gene clusters, highlights its potential relevance to the discovery pipeline for new bioactive compounds . The demonstrated antimicrobial activity of some H. chejuensis metabolites suggests applications in drug discovery efforts.
Membrane Protein Engineering: Insights from the structure-function relationships of the CrcB homolog could inform the design of engineered membrane proteins with novel properties for biotechnological applications. These might include biosensors, selective ion filters, or components of synthetic cells designed for specific environmental applications.
Evolutionary Biology of Ion Channels: Comparative analysis of the CrcB homolog across bacterial species provides a window into the evolutionary development of ion transport mechanisms, contributing to our understanding of how fundamental cellular processes have evolved in response to environmental pressures.