The Campylobacter jejuni CrcB homolog (CrcB), also known as putative fluoride ion transporter CrcB, is a protein that plays a role in the bacterium Campylobacter jejuni . C. jejuni is a Gram-negative, microaerophilic bacterium recognized as a leading cause of bacterial foodborne diarrheal disease worldwide . The CrcB homolog is involved in various stress responses and survival mechanisms of the bacterium .
The crcB gene in Campylobacter jejuni encodes for the CrcB homolog protein . The crcB gene is also referred to as CJE0624 . The protein sequence consists of 122 amino acids . The recombinant full-length Campylobacter jejuni Protein CrcB homolog is expressed in E. coli with a His-tag fused to the N-terminal .
Campylobacter jejuni faces various stresses during its life cycle, including oxidative and aerobic stresses . The ability to manage these stresses is crucial for its survival both within a host and in the environment . The MarR-type transcriptional regulators RrpA and RrpB are key factors in controlling these stress responses . Studies have shown that RrpA and RrpB play a role in the C. jejuni oxidative and aerobic stress responses, particularly in the hydrogen peroxide stress response and the regulation of KatA expression .
RrpA and RrpB are MarR-type transcriptional regulators involved in the oxidative and aerobic stress responses of C. jejuni . While rrpA is present in most C. jejuni strains, rrpB is found in a restricted number of strains and appears to correlate with specific MLST clonal complexes . C. coli strains typically lack both rrpA and rrpB . The rrpB gene is located within a variable genomic region containing the IF subtype of the type I Restriction-Modification (hsd) system in C. jejuni rrpB + strains, while C. jejuni rrpB - strains contain the IAB subtype hsd system without the rrpB gene .
Important Function: Reduces intracellular fluoride concentration, mitigating its toxicity.
KEGG: cju:C8J_0481
The crcB homolog in C. jejuni is typically found within the chromosomal DNA rather than in plasmids. Based on comparative genomic analyses of C. jejuni strains, the gene encoding this protein exists in a relatively conserved region across different serotypes, though specific flanking genes may vary between strains. When investigating the genomic context, researchers should employ whole genome sequencing followed by comparative genomic analysis with reference strains such as NCTC 11168, 81-176, and 81116 . For precise mapping, PCR assays using locus-specific primers should be designed to amplify both the crcB gene and its flanking regions, allowing confirmation of its chromosomal position and identification of potential regulatory elements .
Expression of recombinant CrcB requires careful optimization due to the membrane-associated nature of this protein. An effective expression protocol involves:
Gene amplification using high-fidelity PCR from C. jejuni serotype O:6 genomic DNA
Cloning into an expression vector with a suitable promoter (T7 or tac promoters work well)
Transformation into an appropriate E. coli expression strain (BL21(DE3) or similar)
Expression induction using IPTG at concentrations between 0.1-0.5 mM
Growth at lower temperatures (16-25°C) to enhance proper folding of membrane proteins
For purification, a combination of detergent solubilization (using mild detergents like DDM or LDAO) and affinity chromatography yields the most functional protein. Western blotting using anti-His or custom anti-CrcB antibodies should be employed to confirm expression and purification success .
Verification of CrcB functional activity requires multiple complementary approaches:
Ion transport assays: Using fluoride-sensitive probes to measure transport activity across membranes in proteoliposomes containing reconstituted CrcB protein.
Complementation studies: Introducing the recombinant crcB gene into crcB knockout strains to assess restoration of fluoride resistance.
Electrophysiology: Patch-clamp techniques can be used to directly measure ion conductance through CrcB channels.
Binding assays: Isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) to measure fluoride binding constants.
A comprehensive functional verification should include at least two different methodological approaches, with appropriate controls including inactive protein mutants .
The membrane topology of CrcB can be investigated using:
Computational prediction: Initial topology prediction using algorithms like TMHMM, Phobius, or TOPCONS.
Cysteine scanning mutagenesis: Systematically replacing residues with cysteine and using membrane-impermeable sulfhydryl reagents to identify exposed regions.
GFP fusion constructs: Creating fusion proteins with GFP at different predicted loops to determine orientation.
Protease protection assays: Limited proteolysis of membrane preparations followed by mass spectrometry to identify protected fragments.
The comprehensive topology model should integrate results from at least three independent experimental approaches. Current models suggest CrcB typically contains multiple transmembrane domains with both N and C termini facing the cytoplasm .
Investigating horizontal genetic exchange of crcB requires sophisticated genetic tracking systems. One effective methodology involves:
Construction of marker strains carrying distinct antibiotic resistance genes flanking the crcB locus
Co-culture of different marker strains under conditions that promote DNA exchange
Selection of recombinants on media containing multiple antibiotics
PCR verification of recombination events using locus-specific primers
Recent studies demonstrate that the recombination efficiency in C. jejuni can reach 0.02811 ± 0.0035% of parental strains under optimized conditions . This efficiency increases approximately 10-fold when chicken cecal content is added to the growth medium, suggesting environmental factors significantly impact horizontal genetic exchange. The recombination efficiency data is summarized in the table below:
| Experimental Condition | Recombination Efficiency (% of parental strains) | Mean CFU Recovery |
|---|---|---|
| Standard biphasic MH medium | 0.02811 ± 0.0035% | 1.14×10⁴±0.0571×10⁴ |
| With chicken cecal content | ~0.2811% (10-fold increase) | ~1.14×10⁵ |
| With DNase I treatment | 0.00002% (99.92% reduction) | Significantly reduced |
| Extended incubation (24h) | Enhanced compared to 5h | Not quantified |
These experiments should include DNase I controls to determine the contribution of transformation versus conjugation mechanisms .
Investigating CrcB's role in antimicrobial resistance requires multi-level analyses:
Generation of crcB knockout mutants: Using homologous recombination to replace crcB with an antibiotic resistance cassette, confirming by PCR and sequencing .
Comparative MIC testing: Determining minimum inhibitory concentrations of various antimicrobials against wild-type, crcB knockout, and complemented strains.
Transcriptomic analysis: RNA-seq to identify genes differentially expressed in response to crcB deletion, especially under antimicrobial stress.
Fluoride resistance assays: Testing growth in increasing concentrations of sodium fluoride, as CrcB proteins are known to confer fluoride resistance.
In vivo colonization studies: Assessing the ability of crcB mutants to colonize animal models when challenged with antimicrobials.
The experimental design should include appropriate controls and multiple biological replicates to account for C. jejuni's genetic variability. Results should be validated across different strains of the same serotype to ensure generalizability .
Structural determination of CrcB homolog requires specialized approaches due to the challenges of membrane protein crystallization:
X-ray crystallography: Requires detergent screening to identify conditions that maintain protein stability while permitting crystal formation. Lipidic cubic phase crystallization has shown success with similar membrane proteins.
Cryo-electron microscopy: Increasingly the method of choice for membrane proteins, enabling structural determination in a more native-like lipid environment.
NMR spectroscopy: Suitable for determining dynamic structural features, particularly for smaller domains or loops connecting transmembrane segments.
Computational modeling: Homology modeling based on related structures, validated by experimental data from cross-linking or mutagenesis studies.
A combination of structural approaches provides the most comprehensive understanding. When comparing C. jejuni CrcB to homologs from other bacteria, particular attention should be paid to the fluoride ion coordination site and transmembrane domains, as these regions likely determine functional specificity .
The relationship between CrcB and virulence can be investigated through:
Virulence gene expression profiling: qRT-PCR or RNA-seq comparing expression of known virulence factors between wild-type and crcB mutant strains.
Cell invasion assays: Using human intestinal epithelial cell lines to compare invasion efficiency of wild-type versus crcB mutants.
Animal infection models: Testing colonization and pathogenicity in appropriate animal models, such as chickens or specialized mouse models.
Stress response assays: Measuring survival under various stress conditions (acid, bile, oxidative stress) relevant to host colonization.
Comparative genomics: Analyzing crcB sequence variations across strains with different virulence profiles. The mosaic structure of virulence-associated plasmids in C. jejuni (such as ICDCCJ07001_pTet) suggests complex relationships between genomic elements .
Researchers should note that C. jejuni virulence is multifactorial, with significant roles played by multiple systems including LOS biosynthesis loci, polysaccharide capsular biosynthesis (CPS) loci, and flagella modification loci . Therefore, experiments should control for potential confounding factors and strain variations.
Designing experiments to study environmental regulation of crcB requires:
Promoter reporter systems: Fusion of the crcB promoter to reporter genes like luciferase or GFP to monitor expression under different conditions.
qRT-PCR assays: Measuring crcB transcript levels under various environmental conditions (temperature, pH, oxygen levels, nutrient availability, fluoride concentration).
Proteomics approaches: Quantitative proteomics to measure CrcB protein levels and potential post-translational modifications under different conditions.
In vivo expression studies: Measuring expression during colonization of different host environments (e.g., chicken cecum vs. human cell cultures).
ChIP-seq analysis: Identifying transcription factors that bind to the crcB promoter region under different conditions.
The experimental design should incorporate accurate modeling of relevant environments, including microaerobic conditions (5% O₂, 10% CO₂, 85% N₂), temperature shifts (37°C, 42°C), and exposure to host-derived factors. Statistical analysis should account for the high genetic variability observed in C. jejuni populations .
Genetic manipulation of crcB in C. jejuni requires specific tools optimized for this organism:
Shuttle vectors: Use of E. coli-Campylobacter shuttle vectors like pRY112 that contain compatible origins of replication.
Selection markers: Chloramphenicol and kanamycin resistance genes work effectively in C. jejuni.
Transformation protocols: Natural transformation is highly efficient in C. jejuni when using biphasic media systems. Electroporation at 2,500V is an effective alternative.
Homologous recombination: For chromosomal integration, homologous flanking regions of approximately 400bp are optimal, as demonstrated in marker insertion experiments .
CRISPR-Cas9 systems: Recently adapted for C. jejuni, though optimization may be required for specific strains.
The recombination efficiency varies considerably between strains, so preliminary transformation efficiency tests should be conducted when working with new isolates. The biphasic culture system significantly enhances transformation efficiency compared to liquid or solid media alone .
Effective bioinformatic analysis of CrcB evolutionary relationships includes:
Sequence retrieval: Comprehensive collection of crcB sequences from diverse C. jejuni strains and related species through database mining (NCBI, UniProt).
Multiple sequence alignment: Using MUSCLE or MAFFT with parameters optimized for membrane proteins.
Phylogenetic analysis: Maximum likelihood and Bayesian inference methods to construct robust phylogenetic trees.
Selection pressure analysis: Calculating dN/dS ratios to identify regions under purifying or diversifying selection.
Structural mapping: Mapping sequence conservation onto predicted structural models to identify functionally important residues.
Serotype correlation: Analysis of crcB sequence variations in context of Penner serotyping data to identify potential associations with capsule polysaccharide (CPS) structures .
The analysis should account for horizontal gene transfer events, which are common in C. jejuni populations and can complicate traditional phylogenetic inference. Recombination detection algorithms such as RDP4 or ClonalFrameML should be incorporated into the analysis pipeline .
Accurate quantification of CrcB expression requires:
Western blotting: Using specific anti-CrcB antibodies with careful optimization of membrane protein extraction protocols.
Quantitative proteomics: LC-MS/MS using techniques like SILAC, TMT, or label-free quantification to compare protein abundance.
Flow cytometry: For cells expressing tagged CrcB variants that can be detected with fluorescent antibodies.
Targeted selected reaction monitoring (SRM): For highly sensitive and specific quantification of CrcB peptides.
Transcriptional analysis: qRT-PCR with validated reference genes appropriate for the experimental conditions being tested.
When comparing expression across conditions, researchers should normalize data using multiple housekeeping proteins that maintain stable expression under the tested conditions. For membrane proteins like CrcB, careful attention to extraction efficiency is crucial, as different conditions may affect membrane composition and protein extractability .
When designing antigenic epitopes from CrcB for antibody production:
Epitope prediction: Use of algorithms that combine hydrophilicity, surface accessibility, and antigenicity scores to identify candidate epitopes.
Topological considerations: Focus on extracellular or periplasmic loops rather than transmembrane regions, which are often poorly immunogenic and less accessible.
Conjugation strategies: Coupling selected peptides to carrier proteins like KLH or BSA to enhance immunogenicity.
Cross-reactivity testing: Screening against related proteins from commensal bacteria to ensure specificity.
Validation methods: Confirming antibody specificity using wild-type and crcB knockout strains.
For optimal results, researchers should generate antibodies against multiple epitopes and pool them for applications requiring high sensitivity. Both polyclonal and monoclonal approaches should be considered, with the latter offering higher specificity but potentially lower sensitivity .
When faced with contradictory results between in vitro and in vivo studies:
Environmental context assessment: Evaluate differences in experimental conditions between systems, particularly oxygen levels, pH, and presence of host factors.
Strain variation considerations: Verify genetic stability of the strain during passage and experimentation, as C. jejuni is known for genomic plasticity.
Methodological validation: Confirm that phenotypes observed in vitro are not artifacts of the experimental setup through multiple methodological approaches.
Host interaction factors: Consider that host environments contain factors that may alter gene expression or protein function not replicated in vitro.
Statistical robustness: Ensure sufficient biological replicates in both systems to account for inherent variability.
Recent studies demonstrate that chicken cecal content increases the recombination efficiency of C. jejuni approximately 10-fold compared to laboratory media, highlighting the profound impact of environmental factors on bacterial genetic processes . Similarly, factors in the host environment may significantly influence CrcB function in ways not apparent in simplified laboratory systems.
Common technical challenges with recombinant CrcB include:
Low expression levels: Overcome by optimizing codon usage for the expression host, using stronger promoters, or testing different expression strains.
Protein misfolding: Address by expressing at lower temperatures (16-25°C), adding folding enhancers (glycerol, sucrose), or using specific E. coli strains designed for membrane protein expression.
Aggregation during purification: Minimize by carefully selecting detergents, adding stabilizing agents, and avoiding freezing-thawing cycles.
Loss of function during reconstitution: Improve by reconstituting into lipid compositions similar to C. jejuni membranes and validating function using multiple assays.
Difficulty obtaining crystals: Explore alternative structural determination methods such as cryo-EM or use nanobodies to stabilize the protein.
When troubleshooting, systematic variation of expression parameters is recommended, testing at least three different detergents and two expression systems before exploring more substantial modifications to the protein construct .
To control for strain variation:
Genome sequencing verification: Perform whole genome sequencing of all strains to identify potential confounding genetic differences.
Isogenic strain construction: Generate mutations in the same parental background to minimize variation from other genetic factors.
Complementation controls: Introduce the wild-type gene back into mutant strains to confirm phenotypes are specifically linked to crcB.
Multi-strain validation: Test key findings across multiple independent isolates of the same serotype.
Background normalization: When comparing different wild-type backgrounds, normalize functional data to account for inherent strain differences.
For complex phenotypic data analysis:
Mixed-effects models: Account for both fixed effects (experimental conditions) and random effects (biological variation between replicates).
Non-parametric methods: When data does not follow normal distribution, use Kruskal-Wallis or Mann-Whitney tests.
Multivariate analysis: Principal Component Analysis (PCA) or clustering methods to identify patterns in multidimensional phenotypic data.
Time-series analysis: For kinetic data, use repeated measures ANOVA or growth curve modeling.
Machine learning approaches: For identifying complex patterns in large datasets, consider supervised learning algorithms.
Statistical power analysis should be performed prior to experimentation to determine appropriate sample sizes. For C. jejuni, which shows higher variability than many other bacterial models, larger sample sizes are typically required (n≥6 biological replicates) to achieve sufficient statistical power (β≥0.8) .
Emerging technologies with potential to advance CrcB research include:
Single-cell approaches: Techniques like single-cell RNA-seq and time-lapse microscopy to study heterogeneity in CrcB expression and function within bacterial populations.
Advanced imaging techniques: Super-resolution microscopy and correlative light and electron microscopy (CLEM) to visualize CrcB localization and dynamics in living cells.
Microfluidic systems: Devices that can create defined environmental gradients to study CrcB regulation under precisely controlled conditions.
In situ structural determination: Techniques like cellular cryo-electron tomography to study CrcB structure in its native membrane environment.
CRISPR interference (CRISPRi): For precise, tunable transcriptional control of crcB to study dosage effects.
These technologies will be particularly valuable for understanding the temporal and spatial aspects of CrcB function in response to changing environmental conditions, which are difficult to capture with traditional experimental approaches .
Research on CrcB in C. jejuni may contribute to broader understanding of bacterial ion transport through:
Evolutionary insights: Comparative analysis of CrcB homologs across species can reveal conserved mechanisms and specialized adaptations in ion transport.
Structure-function relationships: Detailed characterization of C. jejuni CrcB structure may identify novel ion coordination mechanisms applicable to other transport systems.
Regulatory network discovery: Mapping the regulatory pathways controlling crcB expression may reveal shared control mechanisms for ion homeostasis genes.
Environmental adaptation mechanisms: Understanding how CrcB function changes in response to environmental factors may illuminate general principles of bacterial adaptation.
Host-microbe interaction principles: Clarifying CrcB's role during host colonization could reveal general mechanisms by which bacterial ion transport systems adapt to host environments.