Vibrio cholerae is a Gram-negative, rod-shaped bacterium that causes cholera, a severe diarrheal disease . Certain strains of V. cholerae, specifically those belonging to serogroups O1 and O139, are known to cause epidemics due to their production of cholera toxin (CTX) . More than 200 serogroups of V. cholerae exist, distinguished by the structure of the O-antigen of lipopolysaccharide (LPS) . Non-O1 and non-O139 serogroups typically do not produce CTX and are associated with gastroenteritis outbreaks, bacteremia, and wound infections, rather than cholera .
The O1 serogroup is further divided into three serotypes: Ogawa, Inaba, and Hikojima . These serotypes are differentiated by the methylation status of the terminal perosamine of the LPS . Ogawa strains are methylated, Inaba strains are unmethylated, and Hikojima strains express both methylated and unmethylated O-antigens . The Hikojima serotype is rare and considered an unstable transitional form between Ogawa and Inaba serotypes .
Fumarate reductase is an enzyme complex that catalyzes the reduction of fumarate to succinate, an important step in anaerobic respiration . In Vibrio cholerae serotype O1, the fumarate reductase complex includes a subunit C (FrdC), which is encoded by the frdC gene . The frdC gene is also known by the synonyms VC_2658 and QFR subunit C .
Recombinant FrdC is produced using in vitro expression systems, often in E. coli . The recombinant protein is full length, typically 127 amino acids long, and may include an N-terminal His tag for purification . The purity of recombinant FrdC is generally greater than 90%, as determined by SDS-PAGE .
| Feature | Description |
|---|---|
| Cat.No. | RFL11862VF |
| Product Overview | Recombinant Full Length Vibrio cholerae serotype O1 Fumarate reductase subunit C(frdC) Protein (Q9KNS3) (1-127aa), fused to N-terminal His tag, expressed in E. coli. |
| Species | Vibrio cholerae serotype O1 |
| Source | E. coli |
| Tag | His |
| Protein Length | Full Length (1-127) |
| Form | Lyophilized powder |
| AA Sequence | MSNRKPYVREMKRTWWKDHPFYRFYMVREATVLPLILFTLFLTVGLGSLVKGPEAWQTWLDFMANPLVIAINLVALAGSLFHAQTFFSMMPQVVPIRLGGKLVDKKIIVLAQWAAVAFISLIVLIVV |
| Purity | Greater than 90% as determined by SDS-PAGE |
| Gene Name | frdC |
| Synonyms | frdC; VC_2658; Fumarate reductase subunit C; Quinol-fumarate reductase subunit C; QFR subunit C |
| UniProt ID | Q9KNS3 |
While specific research findings on the recombinant Vibrio cholerae serotype O1 FrdC are not detailed in the provided documents, recombinant proteins like FrdC are typically used in research applications such as:
ELISA assays: As indicated by one , recombinant FrdC can be used in ELISA (Enzyme-Linked Immunosorbent Assay) tests .
Structural studies: To determine the three-dimensional structure of the protein and understand its function.
Drug discovery: To identify compounds that can inhibit or modulate the activity of fumarate reductase, potentially leading to new therapeutic strategies.
Biochemical assays: To study the enzymatic activity of fumarate reductase and its interactions with other proteins.
KEGG: vco:VC0395_A2232
STRING: 345073.VC0395_A2232
Fumarate reductase subunit C (frdC) functions as a membrane-anchoring component of the fumarate reductase complex in V. cholerae, playing a critical role in anaerobic respiration. The protein facilitates electron transport during the conversion of fumarate to succinate when oxygen is limited. To investigate frdC function experimentally:
Generate knockout mutants using homologous recombination techniques similar to those employed for rfb genes in V. cholerae .
Perform growth curve analysis comparing wild-type and ΔfrdC strains under aerobic versus anaerobic conditions.
Measure succinate production using high-performance liquid chromatography (HPLC) to quantify metabolic output.
Complement the mutation with a plasmid-expressed frdC to confirm phenotype restoration.
Research has demonstrated that frdC is particularly important during intestinal colonization where oxygen is limited, potentially contributing to V. cholerae's ability to establish infection in the human gut.
Expression of recombinant frdC presents challenges due to its hydrophobic membrane-associated nature. Recommended methodological approaches include:
Codon optimization for E. coli expression systems, similar to approaches used for other V. cholerae membrane proteins.
Fusion with solubility-enhancing tags (MBP, SUMO, or TrxA).
Expression in specialized E. coli strains designed for membrane proteins (C41, C43).
Use of mild detergents (DDM, LDAO) for solubilization.
Consider cell-free expression systems for difficult-to-express membrane proteins.
Protein yield can be monitored through western blotting with anti-His or anti-fusion tag antibodies. Researchers should validate protein folding using circular dichroism spectroscopy before proceeding to functional assays.
Several genetic systems can be employed for manipulating frdC in V. cholerae, including:
Homologous recombination techniques similar to those used for introducing rfb genes into V. cholerae O1 strain 569B .
Recombination-based in vivo expression technology (RIVET) systems, which allow for identification of infection-induced genes and can be used to study frdC expression during infection .
Integration of modified genes into specific chromosomal locations using techniques described for CTX phage integration .
| Technique | Advantages | Limitations | Optimal Application |
|---|---|---|---|
| Homologous Recombination | Precise gene replacement | Requires selectable markers | Gene knockout studies |
| RIVET | Measures in vivo gene expression | More complex setup | Infection-induced expression studies |
| CTX Integration Method | Stable chromosomal integration | Site-specific limitations | Long-term expression studies |
| Suicide Vector (pCVD442) | Marker-free mutations | Multi-step process | Clean deletion construction |
| Natural Transformation | Simple procedure | Strain-dependent efficiency | Quick genetic modifications |
The relationship between frdC expression and virulence requires sophisticated experimental approaches:
Construct transcriptional reporters (e.g., frdC promoter-luxCDABE fusions) to monitor expression during infection.
Utilize the improved RIVET system with modified resolvase substrate cassettes that can be positively and negatively selected, similar to methods used to identify other infection-induced genes .
Compare frdC expression in classical versus El Tor biotypes under various oxygen tensions.
Correlate expression levels with colonization efficiency in the infant mouse model.
Current research suggests anaerobic respiration genes, including the frd operon, may be upregulated during intestinal colonization. Some evidence indicates that strains with the toxT-139F allele, which enhances virulence factor expression, may show altered frdC expression patterns during infection, potentially linking metabolic adaptation to virulence .
Understanding the structure-function relationship requires:
Site-directed mutagenesis of conserved residues in the transmembrane helices.
Biochemical characterization of the mutant proteins:
Membrane integration efficiency
Complex assembly with other subunits (frdA, frdB, frdD)
Electron transfer rates
Homology modeling based on crystallized fumarate reductase complexes from related organisms.
Molecular dynamics simulations to predict membrane interactions.
Research suggests frdC contains three transmembrane helices that anchor the catalytic components to the membrane. Critical residues at helix-helix interfaces likely coordinate with heme groups and facilitate interaction with other complex subunits.
Distinguishing the specific functions of frdC from similar membrane subunits requires:
Generate combinatorial knockout strains (ΔfrdC, ΔsdhC, and double mutants).
Perform complementation studies with chimeric constructs.
Use specific activity assays distinguishing between succinate dehydrogenase and fumarate reductase activities.
Conduct transcriptomic analysis to identify compensatory mechanisms.
Employ metabolomic profiling to map carbon flux through the TCA cycle and anaerobic pathways.
Cross-complementation experiments have revealed that while frdC and similar membrane subunits share structural features, they possess distinct functional properties that cannot be fully compensated by related proteins.
To effectively study frdC-dependent fumarate reduction:
Growth conditions:
Media: M9 minimal medium supplemented with glycerol (0.4%) as carbon source
Anaerobic chamber with N₂/CO₂/H₂ (85:10:5) atmosphere
Growth temperature: 37°C
pH: 7.2-7.4
Enzyme activity assay:
Prepare membrane fractions from cells harvested at mid-log phase
Measure activity by monitoring benzyl viologen oxidation coupled to fumarate reduction
Standardize protein concentration (0.1-0.5 mg/ml)
Conduct assays at 30°C in anaerobic cuvettes
Controls:
Positive control: Wild-type V. cholerae grown anaerobically
Negative control: ΔfrdABCD complete operon deletion
Specificity control: Addition of specific inhibitors (e.g., TTFA)
| Parameter | Optimal Range | Critical Considerations |
|---|---|---|
| Cell Density | OD₆₀₀ 0.6-0.8 | Harvest before reaching stationary phase |
| Buffer Composition | 50 mM phosphate buffer, pH 7.2 | Include 10% glycerol for membrane stability |
| Benzyl Viologen | 0.5-1.0 mM | Pre-reduce with small amount of dithionite |
| Fumarate | 10-20 mM | Prepare fresh solution |
| Temperature | 28-32°C | Maintain consistent temperature between samples |
| Measurement Timeframe | 2-10 minutes | Ensure linearity of reaction rates |
Generation and validation of frdC knockout strains should follow these methodological steps:
Generation strategies:
Allelic exchange using suicide vectors (pCVD442 or pWM91)
Natural transformation in chitin-induced competent cells
CRISPR-Cas9 mediated gene editing for marker-free deletions
Validation approach:
PCR verification with primers flanking the deletion site
RT-qPCR to confirm absence of transcript
Western blot using anti-FrdC antibodies (if available)
Phenotypic confirmation: Growth defect under anaerobic conditions with fumarate
Enzymatic assay showing loss of fumarate reductase activity
Complementation with wild-type frdC to restore phenotype
Special considerations:
Create in-frame deletions to avoid polar effects on downstream genes
Ensure complete deletion of the entire coding sequence
Include the native RBS when complementing to maintain natural expression levels
Integration of a resistance marker into the chromosome through homologous recombination, similar to techniques used for rfb gene manipulation in V. cholerae O1, provides a reliable method for generating knockout strains .
To investigate protein-protein interactions between frdC and other subunits:
Co-immunoprecipitation:
Epitope-tag individual subunits (His, FLAG, HA)
Solubilize membrane complexes with mild detergents
Pull-down with antibodies against the tag
Identify interacting partners by western blot or mass spectrometry
Bacterial two-hybrid system:
Adapt specialized membrane protein two-hybrid systems (BACTH)
Fuse frdC fragments to T25 domain
Fuse other subunits to T18 domain
Measure interaction through cAMP-dependent reporter activation
Crosslinking studies:
Use membrane-permeable crosslinkers (DSP, formaldehyde)
Identify crosslinked products by SDS-PAGE and mass spectrometry
Map interaction interfaces with site-specific crosslinkers
Fluorescence techniques:
FRET analysis with fluorescently tagged subunits
BiFC (Bimolecular Fluorescence Complementation)
Confocal microscopy to visualize complex formation in vivo
These approaches reveal that frdC primarily interacts with frdD through transmembrane helices, while making more limited contact with the catalytic subunits frdA and frdB.
Contradictory phenotypes in frdC mutant strains may arise from several sources requiring methodical investigation:
Systematic troubleshooting approach:
Verify genetic background (whole genome sequencing)
Check for suppressor mutations (comparative genomics)
Evaluate potential polar effects on adjacent genes (RT-qPCR)
Assess compensatory upregulation of parallel pathways (transcriptomics)
Consider strain-specific differences in metabolic networks
Resolution strategies:
Generate multiple independent mutants
Perform complementation with controlled expression levels
Create markerless, scarless deletions
Cross-complement between strain backgrounds
Test phenotypes under strictly defined conditions
Data interpretation frameworks:
Distinguish primary from secondary effects through time-course analysis
Apply systems biology modeling to predict metabolic rerouting
Consider threshold effects in metabolic networks
Account for differences between in vitro and in vivo environments
The contradictions often reflect the complex regulatory networks linking metabolism to virulence in V. cholerae, similar to the observation that rfb genes from non-O1 strains did not alter virulence phenotypes when introduced into O1 strains .
Statistical analysis of enzymatic activity from frdC variants requires:
Experimental design considerations:
Minimum of 3-5 biological replicates
2-3 technical replicates per biological sample
Include appropriate positive and negative controls
Randomize sample order to minimize batch effects
Statistical methods:
Normality testing (Shapiro-Wilk) before selecting parametric/non-parametric tests
ANOVA with post-hoc tests (Tukey or Dunnett) for multiple comparisons
Consider mixed-effects models for complex experimental designs
Use non-linear regression for enzyme kinetics (Michaelis-Menten)
Advanced analysis approaches:
Principal Component Analysis for multivariate datasets
Hierarchical clustering to identify functionally similar variants
Machine learning to predict activity based on sequence features
Molecular dynamics correlation with activity parameters
| Data Type | Recommended Test | Requirements | Alternative Approaches |
|---|---|---|---|
| Single comparison | Student's t-test | Normal distribution | Mann-Whitney U test |
| Multiple variants | One-way ANOVA + Tukey | Independence, normal distribution | Kruskal-Wallis + Dunn's test |
| Kinetic parameters | Non-linear regression | Sufficient data points across substrate range | Lineweaver-Burk transformation |
| Time-course data | Repeated measures ANOVA | Sphericity | Mixed-effects modeling |
| Structure-function | Multiple regression | Limited multicollinearity | Partial least squares regression |
Integration of frdC expression data with metabolic networks requires:
Data collection approaches:
RNA-Seq under various oxygen tensions and carbon sources
ChIP-Seq to identify transcriptional regulators
Metabolomics focusing on TCA cycle and anaerobic intermediates
Flux analysis using ¹³C-labeled substrates
Integration methods:
Pathway enrichment analysis
Gene set enrichment analysis (GSEA)
Network construction using protein-protein interaction databases
Comparison with existing genome-scale metabolic models
Visualization techniques:
Cytoscape for network visualization
Heatmaps of co-expressed genes clustered by function
Flux balance analysis visualizations
Integration with reactome databases
This integration approach reveals that frdC expression correlates strongly with other genes involved in anaerobic adaptation, similar to the infection-induced gene expression patterns identified through RIVET technology in V. cholerae .
Targeting frdC for therapeutic development involves several approaches:
Rational drug design strategies:
Structure-based virtual screening against modeled frdC structure
Fragment-based drug discovery targeting critical interfaces
Peptidomimetic inhibitors disrupting complex assembly
Small molecules that compete with menaquinone binding sites
Validation methodologies:
In vitro enzyme inhibition assays
Bacterial growth inhibition under anaerobic conditions
Mouse model efficacy studies
Selectivity profiling against human mitochondrial complexes
Combination approaches:
Synergy testing with existing antibiotics
Dual-targeting of multiple respiratory complexes
Integration with virulence inhibitors
While no direct inhibitors of V. cholerae frdC exist currently, recent research on fumarate reductase inhibitors in related organisms provides promising leads. The unique aspects of bacterial respiratory complexes compared to human counterparts make this an attractive target for specific inhibition.
The relationship between frdC and biofilm formation can be investigated through:
Biofilm assessment methods:
Crystal violet assays for quantification
Confocal microscopy with fluorescent strains
Scanning electron microscopy for ultrastructure
Flow cell systems for real-time observation
Experimental approaches:
Compare wild-type and ΔfrdC biofilm formation under various oxygen levels
Monitor expression using frdC-reporter fusions within biofilms
Test mixed-strain biofilms (WT/mutant) for competitive indices
Evaluate biofilm resistance to disinfectants and antibiotics
Recent data suggests anaerobic respiration via fumarate reductase may support metabolism in oxygen-limited biofilm microenvironments, potentially explaining the persistence of V. cholerae in aquatic reservoirs and its recalcitrance to treatment.
While not typically considered a primary vaccine antigen, frdC could contribute to vaccine development through:
Antigen delivery approaches:
Expression of frdC epitopes on attenuated live vaccine strains
Incorporation into outer membrane vesicle (OMV) vaccines
Display of immunogenic epitopes on virus-like particles
Adjuvant properties:
Investigation of immune-stimulating properties of purified frdC
Combination with established cholera vaccine components
Methodological considerations:
Selection of conserved epitopes across V. cholerae strains
Balance between immunogenicity and safety
Evaluation of cross-protection against multiple biotypes
The research on constructing V. cholerae strains with various CTX arrays offers valuable insights for incorporating additional antigens like frdC into potential vaccine candidates . The approaches developed for expressing multiple antigens in a single strain could be adapted for frdC incorporation.