Recombinant Culex quinquefasciatus Odorant Receptor (6031407)-VLPs is a synthetic protein product designed for studying odorant receptor (OR) function in the southern house mosquito (Culex quinquefasciatus). This recombinant protein is expressed as virus-like particles (VLPs), enabling structural and functional studies of olfactory receptors in a controlled system. The product is marketed as a tool for research into mosquito olfaction, which is critical for understanding behaviors such as host-seeking, oviposition, and repellent responses.
While no direct research studies on this specific product were identified in the provided sources, its utility can be inferred from broader OR research:
Ligand Screening:
Structure-Function Studies:
Behavioral Assays:
No Published Studies: No peer-reviewed data are available for this specific recombinant OR-VLP product.
Functional Specificity: Ligand profiles and behavioral relevance remain uncharacterized.
Comparative Data: Limited information on how CquiOR6031407 differs from other Culex ORs (e.g., CquiOR32, CquiOR27) .
What is Culex quinquefasciatus Odorant receptor (6031407) and why is it significant for research?
Culex quinquefasciatus Odorant receptor (6031407) is a purified CF transmembrane protein with >85% purity as determined by SDS-PAGE. It originates from the Southern house mosquito (Culex quinquefasciatus, also known as Culex pungens) and plays a crucial role in the mosquito's olfactory system.
This specific odorant receptor (target name: B0W0I1) is significant because C. quinquefasciatus is responsible for transmitting filarial worms and several arboviruses, including West Nile Virus. Understanding olfactory mechanisms in these disease vectors can lead to novel control strategies, as olfaction drives critical behaviors including host-seeking, mating, and oviposition .
Technical specifications:
How do odorant receptors function in mosquito sensory systems?
Odorant receptors (ORs) in mosquitoes function as heteromeric complexes consisting of a variable odorant-binding subunit paired with a conserved co-receptor (such as CquiOR7). These transmembrane proteins are expressed primarily in the antennae and maxillary palps, though expression has also been detected in the proboscis.
When volatile compounds bind to these receptors, they trigger G-protein coupled signal transduction pathways that ultimately result in specific behavioral responses. The specificity of odorant detection is determined by the structural characteristics of the OR binding pocket, often controlled by key amino acid residues that create precise volumetric spaces for ligand accommodation .
Research has demonstrated that olfactory gene expression varies with physiological state (e.g., before and after blood feeding) and shows tissue-specific expression patterns, with most ORs expressed exclusively in female antennae .
What are Virus-Like Particles (VLPs) and how do they relate to odorant receptor research?
Virus-Like Particles (VLPs) comprise structural proteins of viral particles without genomic material, making them non-infectious while preserving native-like epitopes. They're produced from VirtuE™ (HEK293) or insect-baculo expression systems and display native-like epitopes and glycosylation patterns.
For odorant receptor research, VLPs provide several advantages:
They offer a membrane-like environment for proper folding of transmembrane proteins
The highly repetitive structural patterns make them ideal for generating high-avidity antibodies against odorant receptors
They can be used as platforms for structural studies of membrane proteins
They provide a system for studying receptor dynamics in a controlled, cell-free environment
When used with recombinant odorant receptors, VLPs can help overcome challenges associated with studying these hydrophobic membrane proteins in traditional expression systems.
How does sequence variation in odorant receptors affect ligand specificity in Culex quinquefasciatus?
Sequence variation in odorant receptors dramatically affects ligand specificity through subtle structural changes in the binding pocket. A prime example is seen with CquiOR10 and CquiOR2, which detect skatole and indole respectively with reciprocal specificity.
Research has demonstrated that a single amino acid substitution can completely switch ligand preferences. When alanine 73 in CquiOR10 was mutated to leucine (CquiOR10A73L), the receptor behaved like CquiOR2, while the reverse mutation (CquiOR2L74A) resulted in CquiOR10-like specificity.
Structural modeling using RoseTTAFold and AlphaFold revealed that these mutations create space-filling constraints that determine which molecules can fit into the binding pocket:
| Receptor Variant | Primary Ligand | Secondary Ligand | Response to 3-ethylindole |
|---|---|---|---|
| CquiOR10 (WT) | Skatole | Minimal to indole | Moderate |
| CquiOR10A73L | Indole | Minimal to skatole | Insensitive |
| CquiOR10A73G | Skatole | Minimal to indole | Enhanced |
| CquiOR2 (WT) | Indole | Minimal to skatole | Insensitive |
| CquiOR2L74A | Skatole | Minimal to indole | Gained sensitivity |
| CquiOR2L74G | Skatole | Enhanced to indole | Gained sensitivity |
These findings suggest that odorant receptor evolution may proceed through single nucleotide polymorphisms that fine-tune receptor specificity to environmental needs .
What methodologies are most effective for functional characterization of mosquito odorant receptors?
Effective functional characterization of mosquito odorant receptors involves multiple complementary approaches:
Gene Expression Analysis:
RT-PCR and RT-qPCR to map tissue-specific expression patterns
RNA-seq for transcriptome-wide analysis of expression differences between physiological states
Functional Deorphanization:
Xenopus oocyte recording system with two-electrode voltage clamp
Cell-based calcium imaging assays
Structural Analysis:
Computational modeling using RoseTTAFold and AlphaFold
Molecular docking studies using RosettaLigand to predict ligand interactions
Validation Studies:
RNA interference (RNAi) to suppress expression and observe behavioral changes
CRISPR-Cas9 gene editing for targeted mutations
Site-directed mutagenesis to identify key functional residues
Behavioral Assays:
Blood-feeding experiments to correlate receptor function with host-seeking behavior
Oviposition choice tests to assess egg-laying preferences
Repellent efficacy testing using modified receptors
The most robust characterization integrates findings from these multiple approaches to connect molecular mechanisms with behavioral outcomes .
How does the odorant receptor repertoire in Culex quinquefasciatus compare to that of other mosquito vectors?
The odorant receptor repertoire in Culex quinquefasciatus shows significant expansion compared to other mosquito species, likely reflecting its ecological versatility:
| Species | OR genes | OBP genes | Direct OBP orthologs with C. quinquefasciatus |
|---|---|---|---|
| C. quinquefasciatus | 180 | 109 | - |
| Ae. aegypti | 131 | 111 | 19 |
| An. gambiae | Fewer (exact number not provided) | Fewer (exact number not provided) | Not specified |
This expanded olfactory gene repertoire correlates with C. quinquefasciatus's ecological adaptability, including:
Ability to lay eggs in both polluted and non-polluted water bodies
Capacity to feed on diverse host species including humans and birds
Cosmopolitan distribution (unlike Ae. aegypti, which is limited to tropical/subtropical regions)
The divergence in olfactory genes extends to expression patterns, with substantial differences observed between field populations and laboratory colonies, suggesting rapid evolutionary adaptation to ecological niches. This diversity presents challenges for functional characterization but also opportunities for identifying species-specific targets for vector control .
What strategies can overcome the challenges in expressing functional recombinant odorant receptors?
Expressing functional recombinant odorant receptors presents several challenges due to their hydrophobic nature as transmembrane proteins. Effective strategies include:
Expression System Selection:
E. coli systems can produce good quantities but may require refolding
Insect cell systems often provide better folding for insect proteins
Cell-free expression systems can reduce toxicity issues
Protein Engineering:
Addition of solubility tags (e.g., N-terminal 10xHis tag)
Fusion partners that enhance membrane integration
Truncation constructs to remove highly hydrophobic regions
Buffer Optimization:
Use of stabilizing additives such as glycerol (5-50%)
Inclusion of Trehalose (6%) for lyophilization buffer
Tris/PBS-based buffers at optimal pH (typically pH 8.0)
Handling Protocols:
Avoiding repeated freeze/thaw cycles
Working aliquots stored at 4°C for up to one week
Long-term storage at -20°C/-80°C with 50% glycerol
Reconstitution Methods:
Brief centrifugation prior to opening
Reconstitution in deionized sterile water to 0.1-1.0 mg/mL
Addition of 5-50% glycerol for stability
Determining purity by SDS-PAGE (target >85%) helps validate successful expression and purification. For functional studies, ensuring proper membrane integration through VLP incorporation often yields better results than working with the isolated protein .
How can RNA interference be implemented to study odorant receptor function in vivo?
RNA interference (RNAi) provides a powerful tool for studying odorant receptor function in vivo through targeted gene knockdown. A methodological approach includes:
dsRNA Design and Synthesis:
Target specific regions of the odorant receptor mRNA (e.g., CquiOR114/117)
Include appropriate controls (non-targeting dsRNA)
Synthesize using in vitro transcription systems
Delivery Method:
Microinjection into the thorax of cold-anesthetized adult female mosquitoes
Optimized injection volume (typically 69 nL)
Recovery period in appropriate environmental conditions
Validation of Knockdown:
RT-qPCR to quantify target gene expression at different time points post-injection
Western blot analysis if antibodies are available
Time course determination (knockdown typically peaks 2-6 days post-injection)
Behavioral Assays:
Blood-feeding experiments measuring engorgement rates
Host-seeking behavior quantification
Repellent efficacy testing
Data Analysis:
Statistical correlation between receptor expression levels and behavioral metrics
Comparison with control groups (uninjected and control dsRNA-injected)
Research has demonstrated significant positive correlation between CquiOR114/117 expression and mosquito engorgement rates, providing direct evidence of this receptor's role in blood-feeding behavior .
What experimental designs can measure the impact of odorant receptor variants on repellent efficacy?
Evaluating how odorant receptor variants affect repellent efficacy requires multi-faceted experimental designs:
Receptor Variant Generation:
Site-directed mutagenesis to create specific receptor variants
Focus on transmembrane domains, particularly TM2, which contains specificity determinants
Creation of single amino acid substitutions at key positions (e.g., A73L in CquiOR10)
Functional Validation:
Xenopus oocyte recording system to measure electrophysiological responses
Dose-response curves for candidate repellent compounds
Comparison of EC50 values across receptor variants
Repellent Compound Screening:
Testing of plant-derived compounds like 2-phenylethanol, linalool, and PMD
Comparison with standard repellents (e.g., DEET at 1%)
Structure-activity relationship analysis across chemical families
In Vivo Validation:
RNAi-mediated knockdown of specific receptors
Transgenic expression of receptor variants
Arm-in-cage repellency assays with treatment and control groups
Data Integration:
Correlation of molecular responses with behavioral outcomes
Computational modeling of repellent binding to receptor variants
Analysis of repellent efficacy across mosquito species with different receptor sequences
Studies have shown that 2-phenylethanol demonstrates repellency comparable to DEET at 1%, with evidence that this effect is mediated at least in part through CquiOR4 activation .
How do physiological states affect odorant receptor expression and function throughout the mosquito life cycle?
Odorant receptor expression and function vary significantly across physiological states and life stages in Culex quinquefasciatus:
Developmental Regulation:
Expression levels of most ORs are significantly lower in egg-to-pupa stages than in adults
CquiOR114/117 expression peaks on the third day after adult emergence
Some receptors show sex-specific expression patterns, with many ORs expressed exclusively in female antennae
Blood-feeding Effects:
CquiOR4 is predominantly expressed in antennae of non-blood fed females
Transcript levels significantly decrease after blood meal
This reduction correlates with reduced host-seeking behavior post-feeding
Reproductive State Influence:
Different ORs are upregulated during various stages of the gonadotropic cycle
Expression changes coordinate behavioral shifts from host-seeking to oviposition site selection
OBP5 and OBP10 genes show variation in expression among different life stages in laboratory colonies
Field vs. Laboratory Populations:
Most olfactory genes show differential expression between field-caught mosquitoes and laboratory colonies
This suggests that colonization processes impact regulatory mechanisms
Studies using laboratory strains should interpret results cautiously when extrapolating to natural populations
Experimental Approach Table:
| Life Stage/State | Key Receptors/Genes | Methodology | Behavioral Correlation |
|---|---|---|---|
| Larval (L4) | Limited OR expression | RT-PCR on RNA extracts | Aquatic chemosensation |
| Adult emergence | CquiOR114/117 (increases) | RT-qPCR time course | Initial host-seeking |
| Pre-blood meal | CquiOR4, CquiOR114/117 | Antenna-specific RT-PCR | Active host-seeking |
| Post-blood meal | CquiOR4 (decreases) | Comparative RT-qPCR | Reduced host-seeking |
| Gravid females | OBP5, OBP10 (changes) | RT-qPCR | Oviposition site selection |
Understanding these expression dynamics provides insights into vector capacity and potential targets for intervention at specific life stages .
What biosafety considerations are important when working with recombinant mosquito proteins and VLPs?
Working with recombinant mosquito proteins and VLPs requires appropriate biosafety measures:
Risk Assessment Factors:
Infectivity: Recombinant proteins and VLPs are non-infectious but appropriate containment is still necessary
Transmissibility: No person-to-person transmission risk with these materials
Nature of work: Expression, purification, and functional studies typically require BSL-1 or BSL-2
Origin of agents: Indigenous vs. exotic mosquito species may affect risk classification
Recommended Containment Level:
BSL-1 is typically appropriate for work with purified recombinant proteins from mosquitoes
BSL-2 may be required when working with unpurified material from mosquito vectors
Animal studies involving mosquito proteins would require ABSL-1 or ABSL-2
Laboratory Practices:
Standard microbiological practices
Restricted laboratory access during work
Biohazard warning signs when appropriate
Decontamination of all waste before disposal
Safety Equipment:
Laboratory coats and gloves
Eye and face protection when needed
Biological safety cabinets for procedures with potential for creating aerosols
Facility Safeguards:
Laboratories should have washable surfaces
Bench tops impervious to water and resistant to chemicals
Sink for handwashing
Doors for access control
Importantly, proteins like Recombinant Culex quinquefasciatus Odorant receptor (6031407) have research-only restrictions and are not for use in diagnostic procedures .
How can computational modeling advance our understanding of odorant receptor structure-function relationships?
Computational modeling offers powerful insights into odorant receptor structure-function relationships:
Structural Prediction Approaches:
RoseTTAFold and AlphaFold provide accurate structural models of odorant receptors
Comparative modeling using experimentally resolved structures (e.g., MhraOR5 from Machilus hrabei)
Superimposition of models with known structures to identify functional conformations
Ligand Docking Methods:
RosettaLigand for small-molecule docking
Monte Carlo simulations allowing ligand translation and rotation
Energy-based analyses to select representative models
Hdbscan cluster analysis to group structurally similar models
Key Insights from Modeling:
Identification of transmembrane domain 2 (TM2) as a critical specificity determinant
Revelation that single amino acid substitutions (e.g., A73L) can completely switch ligand preferences
Demonstration of space-filling constraints as the mechanism for ligand selectivity
Validation Approaches:
Using known protein-ligand complexes (e.g., MhraOR5-eugenol) as controls
RMSD measurements between predicted and experimental structures
Experimental validation through targeted mutagenesis
Practical Applications:
Design of receptor mutants with altered ligand specificity
Development of novel repellents based on binding pocket characteristics
Prediction of cross-reactivity between related compounds
Research using these approaches has successfully modeled CquiOR10 and predicted the effects of mutations, with experimental validation confirming the computational findings .
What are the most sensitive methods for measuring odorant receptor activation and ligand binding?
Several methods offer high sensitivity for measuring odorant receptor activation and ligand binding:
Electrophysiological Methods:
Xenopus oocyte recording system with two-electrode voltage clamp
Advantages: High sensitivity, real-time measurements
Limitations: Labor-intensive, artificial cellular environment
Patch-clamp recordings from receptor-expressing cells
Advantages: Detailed kinetic information, single-channel analysis
Limitations: Technical complexity, low throughput
Fluorescence-Based Techniques:
Calcium imaging with fluorescent indicators
Advantages: Visual readout, compatibility with high-throughput screening
Limitations: Indirect measurement of receptor activation
FRET-based conformational change assays
Advantages: Direct measurement of protein dynamics
Limitations: Requires protein engineering
Binding Assays:
Isothermal titration calorimetry (ITC)
Advantages: Label-free, provides thermodynamic parameters
Limitations: Requires large amounts of purified protein
Surface plasmon resonance (SPR)
Advantages: Real-time binding kinetics, small sample requirements
Limitations: Surface immobilization may affect function
Computational Methods:
Molecular dynamics simulations
Advantages: Atomic-level detail of binding events
Limitations: Computationally intensive, requires validation
Free energy calculations
Advantages: Quantitative binding affinity predictions
Limitations: Accuracy depends on force field parameters
The Xenopus oocyte recording system has been particularly successful for deorphanizing mosquito odorant receptors, allowing researchers to identify key ligands such as 2-phenylethanol for CquiOR4 and skatole/indole for CquiOR10/CquiOR2 .