KEGG: vg:4156316
Invertebrate Iridescent Virus 3 (IIV-3), also known as mosquito iridescent virus (MIV), belongs to the genus Chloriridovirus within the Iridoviridae family. It is characterized by its restricted host range, primarily infecting mosquitoes (order Diptera), and its relatively large particle size of approximately 180 nm in diameter . This distinguishes it from members of the Iridovirus genus, which typically have a broader host range including organisms from the orders Diptera, Lepidoptera, Hemiptera, and Coleoptera, and are smaller at approximately 120 nm in diameter . Phylogenetic analyses indicate that IIV-3 is distantly related to other iridovirus genera, showing low levels of amino acid identity in predicted proteins compared to other iridovirus homologues .
Based on available research, Escherichia coli has been successfully employed as an expression system for producing recombinant IIV3-066L protein . The protein can be expressed as a full-length construct (amino acids 1-193) with an N-terminal histidine tag to facilitate purification . This bacterial expression system provides several advantages:
High protein yield
Established protocols for induction and harvesting
Cost-effectiveness for research-scale production
Compatibility with common purification techniques such as immobilized metal affinity chromatography (IMAC)
The resulting recombinant protein is typically harvested in the form of a lyophilized powder, which can be reconstituted in an appropriate buffer system for experimental use .
To maintain the structural integrity and functional properties of recombinant IIV3-066L protein, the following storage recommendations should be implemented:
| Storage Condition | Recommendation | Purpose |
|---|---|---|
| Short-term storage | 4°C for up to one week | Maintains protein in ready-to-use condition |
| Long-term storage | -20°C to -80°C | Prevents degradation over extended periods |
| Buffer composition | Tris/PBS-based buffer with 6% Trehalose, pH 8.0 | Stabilizes protein structure |
| Reconstitution | Deionized sterile water to 0.1-1.0 mg/mL | Prepares protein for experimental use |
| Cryoprotectant | 5-50% glycerol (recommended: 50%) | Prevents damage during freeze-thaw cycles |
| Handling | Brief centrifugation before opening | Ensures recovery of entire protein content |
It is crucial to avoid repeated freeze-thaw cycles as they can lead to protein denaturation and loss of activity . After reconstitution, the protein should be aliquoted before storage at -20°C/-80°C to minimize the need for multiple thawing events.
Investigating the role of IIV3-066L in virus-host interactions requires a multi-faceted approach combining molecular, cellular, and systems biology techniques. The following methodological framework is recommended:
Protein-Protein Interaction Studies
Yeast two-hybrid screening with mosquito cell proteins
Co-immunoprecipitation followed by mass spectrometry
Bimolecular fluorescence complementation in insect cell lines
Surface plasmon resonance to determine binding kinetics
Functional Genomics Approaches
CRISPR-Cas9-mediated gene editing of IIV3-066L to create mutant viruses
RNA interference to knockdown IIV3-066L expression during infection
Transcriptome analysis of host cells in response to wild-type vs. mutant IIV3-066L
Structural Biology Methods
Cryo-electron microscopy of virus particles with wild-type or modified IIV3-066L
X-ray crystallography of purified IIV3-066L alone or in complex with host factors
Molecular dynamics simulations to predict conformational changes
In Vivo Studies
Transgenic mosquito models expressing IIV3-066L
Comparative infection studies in different mosquito species
Tissue-specific localization using immunohistochemistry
These methodologies should be applied in a systematic manner, with initial in vitro studies informing subsequent in vivo experiments, to build a comprehensive understanding of IIV3-066L's role in the virus life cycle and host interactions.
Membrane proteins like IIV3-066L present significant challenges for expression and purification, particularly when aimed at structural studies that require high purity and native conformation. A systematic approach to overcome these challenges includes:
Expression System Selection:
While E. coli is commonly used for initial expression attempts , membrane proteins often require eukaryotic expression systems for proper folding and post-translational modifications. Consider:
| Expression System | Advantages | Limitations |
|---|---|---|
| E. coli | High yield, cost-effective | Limited post-translational modifications |
| Insect cells | Natural host environment, proper folding | More complex, lower yield |
| Yeast | Eukaryotic processing, high density | May have different membrane composition |
| Cell-free systems | Avoids toxicity issues, rapid | Expensive, limited scale |
Solubilization Strategies:
Screen multiple detergents (DDM, LDAO, OG, etc.) at various concentrations
Employ novel solubilization agents such as SMALPs (styrene-maleic acid lipid particles)
Consider nanodiscs or amphipols for maintaining native-like environment
Purification Protocol Optimization:
Implement two-step affinity chromatography (His-tag IMAC followed by size exclusion)
Incorporate on-column detergent exchange during purification
Minimize exposure to room temperature during all procedures
Add stabilizing agents such as glycerol or specific lipids
Quality Control Assessments:
Circular dichroism to verify secondary structure
Thermostability assays to identify optimal buffer conditions
Dynamic light scattering to assess monodispersity
Limited proteolysis to identify stable domains
By systematically addressing these challenges, researchers can improve the likelihood of obtaining functionally active IIV3-066L suitable for downstream structural and functional studies.
Understanding the evolutionary history of IIV3-066L requires sophisticated bioinformatic analyses that integrate sequence, structure, and phylogenetic information. The following comprehensive approach is recommended:
Sequence-Based Analyses
Position-Specific Iterative BLAST (PSI-BLAST) to identify distant homologs
Multiple Sequence Alignment (MSA) using MUSCLE or MAFFT algorithms, with manual refinement of transmembrane regions
Calculation of conservation scores across iridovirus transmembrane proteins
Identification of sequence motifs unique to IIV3-066L versus shared with other viral proteins
Phylogenetic Reconstruction
Maximum Likelihood methods using RAxML or IQ-TREE
Bayesian inference approaches using MrBayes or BEAST
Reconciliation of gene trees with species trees to identify potential horizontal gene transfer events
Molecular clock analyses to estimate divergence times
Structural Prediction and Comparison
Ab initio and template-based structural modeling
Structural alignment with homologous viral transmembrane proteins
Comparison of predicted transmembrane topology across evolutionary lineages
Analysis of coevolving residues to identify functional constraints
Selection Pressure Analysis
Calculation of dN/dS ratios to identify sites under positive or purifying selection
Sliding window analysis to identify domains with distinct evolutionary patterns
Branch-site models to detect episodic selection in specific lineages
Existing phylogenetic analyses already indicate that IIV-3 is distantly related to other iridovirus genera, with low amino acid identity in predicted proteins compared to other iridovirus homologues . The absence of obvious colinearity with any sequenced iridovirus further suggests a distinct evolutionary trajectory for IIV-3 proteins, including IIV3-066L . These findings should guide more targeted analyses of this specific transmembrane protein.
Investigating potential immunomodulatory properties of IIV3-066L requires a systematic experimental approach that addresses both innate and adaptive immune responses. The following experimental design framework is recommended:
Cell Culture Models:
Mosquito cell lines (e.g., C6/36, Aag2)
Human immune cell lines (for zoonotic potential assessment)
Primary mosquito hemocytes
Recombinant Protein Application Methods:
Direct addition of purified IIV3-066L to culture medium
Transfection with IIV3-066L expression constructs
Transduction using viral vectors expressing IIV3-066L
Readout Measurements:
Transcriptome analysis focusing on immune-related genes
Quantification of antimicrobial peptide production
Measurement of ROS/NOS production
Assessment of cell viability and apoptosis markers
Target Pathway Investigation:
NF-κB pathway activity using reporter assays
JAK-STAT pathway activation assessment
Toll and Imd pathway component phosphorylation
RNAi machinery function evaluation
Protein Interaction Studies:
Co-immunoprecipitation with known immune regulators
Yeast two-hybrid screening against immune protein libraries
Proximity ligation assays in intact cells
FRET/BRET studies to detect real-time interactions
Gene Silencing Approaches:
RNAi-mediated knockdown of identified interaction partners
CRISPR-Cas9 knockout of target genes in amenable systems
Complementation studies with mutant proteins
Domain Mapping:
Generation of truncated IIV3-066L constructs
Site-directed mutagenesis of key residues
Chimeric proteins with homologs from other iridoviruses
Infection Models:
Comparison of wild-type virus versus IIV3-066L mutants
Competitive infection assays
Time-course studies of immune response dynamics
This experimental framework allows for systematic identification and characterization of any immunomodulatory functions of IIV3-066L, providing insights into how this viral protein may contribute to immune evasion or manipulation during infection.
To achieve optimal expression of recombinant IIV3-066L in E. coli systems, researchers should consider the following comprehensive protocol:
Strain Selection:
E. coli BL21(DE3) or derivatives are recommended due to their reduced protease activity and tight regulation of T7 RNA polymerase . For membrane proteins like IIV3-066L, specialized strains such as C41(DE3) or C43(DE3) may provide improved expression by accommodating the potential toxicity of membrane protein overexpression.
Vector Design:
Include an N-terminal His-tag for purification as demonstrated in existing protocols
Consider fusion partners such as MBP or SUMO to enhance solubility
Incorporate a precision protease cleavage site for tag removal
Use T7 or tac promoters for controlled induction
Expression Conditions:
The following parameters should be optimized through factorial design experiments:
| Parameter | Range to Test | Rationale |
|---|---|---|
| Induction temperature | 16-30°C | Lower temperatures reduce inclusion body formation |
| IPTG concentration | 0.1-1.0 mM | Finding minimal effective concentration reduces toxicity |
| Induction OD600 | 0.6-1.2 | Cell density affects expression efficiency |
| Post-induction time | 4-24 hours | Optimal time balances yield and degradation |
| Media composition | LB, TB, 2xYT | Different media affect growth rate and yield |
| Additives | Glycerol (0.5-2%) | May stabilize membrane proteins |
Harvest and Lysis:
Centrifugation at 5,000 × g for 15 minutes at 4°C
Resuspension in buffer containing 50 mM Tris-HCl pH 8.0, 150 mM NaCl
Addition of protease inhibitors (PMSF, EDTA-free cocktail)
Cell disruption via sonication or high-pressure homogenization
Separation of membrane fraction by ultracentrifugation (100,000 × g for 1 hour)
Solubilization and Purification:
Solubilize membrane fraction with detergents such as DDM (1%), LDAO (1%), or OG (2%)
Purify using Ni-NTA affinity chromatography with imidazole gradient elution
Further purify by size exclusion chromatography
By systematically optimizing these conditions, researchers can maximize the yield and quality of recombinant IIV3-066L for subsequent structural and functional studies.
Investigating the role of IIV3-066L in host range determination requires a multi-layered research design that integrates comparative genomics, functional assays, and in vivo studies. The following comprehensive research design is recommended:
Sequence Comparison Across Iridoviruses:
Compare IIV3-066L sequences from IIV-3 with homologs from other iridoviruses with different host ranges
Identify conserved and variable regions that correlate with host specificity
Construct phylogenetic trees to visualize evolutionary relationships
Host Factor Prediction:
Perform in silico protein-protein interaction predictions
Identify potential host receptors or interaction partners
Compare predicted interactions across susceptible and non-susceptible host species
Cell Line Susceptibility Testing:
Transfect IIV3-066L into cell lines from diverse insect orders
Measure binding affinity to cell surface components
Assess ability to mediate membrane fusion or entry events
Domain Swapping Experiments:
Generate chimeric constructs with domains from IIV3-066L and homologs from viruses with different host ranges
Test these chimeras for altered cell tropism
Map specific regions responsible for host-specific interactions
CRISPR-Mediated Gene Editing:
Generate IIV-3 variants with modified IIV3-066L sequences
Test infection capacity in different host cells
Quantify replication efficiency using qPCR or plaque assays
Cross-Species Infection Assays:
Challenge multiple mosquito species with wild-type and mutant viruses
Quantify viral loads in different tissues
Monitor pathogenesis and disease progression
Transgenic Approaches:
Express IIV3-066L in normally non-susceptible hosts
Assess whether expression confers susceptibility
Examine tissue-specific effects of expression
Competition Assays:
Co-infect hosts with wild-type and mutant viruses
Measure relative fitness in different host backgrounds
Identify selective pressures on IIV3-066L variants
This research design provides a comprehensive framework for determining whether and how IIV3-066L contributes to the restricted host range of IIV-3, which is primarily limited to mosquitoes (Diptera) , contrasting with the broader host range of other iridoviruses.
Developing reliable assays to measure interactions between IIV3-066L and host cell membranes requires both biophysical and cell-based approaches. The following methodological framework provides a comprehensive strategy:
Biophysical Interaction Assays:
Liposome Binding Assays
Preparation of liposomes with compositions mimicking mosquito cell membranes
Fluorescently labeled IIV3-066L incubated with liposomes
Measurement of binding by:
Co-sedimentation followed by SDS-PAGE analysis
Fluorescence microscopy to visualize binding
FRET assays with dual-labeled membranes and protein
Surface Plasmon Resonance (SPR)
Immobilization of purified IIV3-066L on sensor chip
Flow of lipid vesicles or purified membrane components over the sensor
Determination of kinetic parameters (kon, koff, KD)
Comparative analysis with different lipid compositions
Atomic Force Microscopy (AFM)
Visualization of IIV3-066L insertion into supported lipid bilayers
Force measurements of membrane-protein interactions
Topographical analysis of membrane alterations
Cell-Based Interaction Assays:
Fluorescence Microscopy
Expression of fluorescently tagged IIV3-066L in mosquito cells
Co-localization studies with membrane markers
Live-cell imaging to track dynamic interactions
FRAP (Fluorescence Recovery After Photobleaching) to measure membrane mobility
Flow Cytometry-Based Binding Assays
Incubation of cells with labeled recombinant IIV3-066L
Quantification of binding under various conditions
Competition assays with potential inhibitors
Comparison across cell types from different insect orders
Membrane Fractionation Studies
Isolation of membrane microdomains (lipid rafts, etc.)
Western blot analysis of IIV3-066L distribution
Mass spectrometry to identify co-purifying host factors
Functional Membrane Interaction Assays:
Electrophysiology
Patch-clamp recordings of cells expressing IIV3-066L
Lipid bilayer conductance measurements with purified protein
Assessment of membrane permeabilization or ion channel formation
Membrane Fusion Assays
Lipid mixing assays using fluorescently labeled liposomes
Content mixing assays to track aqueous compartment merging
pH-dependent fusion studies to mimic endosomal environments
Electron Microscopy
Immunogold labeling of IIV3-066L in infected cells
Visualization of membrane alterations using TEM
Cryo-EM to capture intermediate states of membrane interaction
By implementing this multi-faceted approach, researchers can comprehensively characterize the interaction between IIV3-066L and host cell membranes, providing insights into its role in the viral life cycle.
When analyzing protein-protein interaction data involving IIV3-066L, researchers should implement a comprehensive statistical framework that addresses the specific challenges of membrane protein interactions. The following statistical approaches are recommended based on the experimental methods employed:
For High-Throughput Interaction Screening:
False Discovery Rate (FDR) Control
Apply Benjamini-Hochberg procedure to control for multiple testing
Implement q-value cutoffs (typically q < 0.05 or 0.01)
Consider more stringent thresholds for exploratory studies
Enrichment Analysis
Calculate fold enrichment over background/control conditions
Apply hypergeometric tests or Fisher's exact tests for categorical enrichment
Utilize permutation-based approaches for empirical p-value estimation
Network Statistics
Calculate betweenness centrality and clustering coefficients
Implement Markov clustering algorithms to identify interaction modules
Apply random walk with restart (RWR) algorithms to predict additional interactions
For Quantitative Binding Assays:
Binding Curve Analysis
Fit data to appropriate binding models (simple, cooperative, competitive)
Calculate confidence intervals for KD values using non-linear regression
Compare binding parameters across conditions using extra sum-of-squares F tests
Association/Dissociation Kinetics
Apply global fitting algorithms to extract kon and koff rates
Calculate residence time (1/koff) as a measure of interaction stability
Use Akaike Information Criterion (AIC) to select between competing kinetic models
Thermodynamic Analysis
Implement van't Hoff analysis for temperature-dependent studies
Calculate entropy and enthalpy changes from temperature-dependent KD values
Apply isothermal titration calorimetry (ITC) data analysis when available
For Co-localization Studies:
Correlation Coefficients
Calculate Pearson's correlation coefficient for intensity correlation
Implement Manders' overlap coefficient for spatial overlap
Use Spearman's rank correlation for non-linear relationships
Object-Based Analysis
Calculate Jaccard index for binary object overlap
Implement nearest neighbor distance analysis
Apply Ripley's K-function for spatial pattern analysis
FRET Efficiency Analysis
Calculate FRET efficiency using appropriate controls
Implement pixel-by-pixel FRET analysis for spatial heterogeneity
Apply statistical tests for comparing FRET efficiencies across conditions
By selecting the appropriate statistical approaches based on the experimental method and data type, researchers can ensure robust and meaningful interpretation of protein-protein interaction data involving IIV3-066L.
Integrating structural predictions with experimental data to model IIV3-066L topology requires a systematic approach that leverages complementary computational and experimental methods. The following integrative modeling framework is recommended:
Computational Topology Prediction:
Apply multiple transmembrane prediction algorithms (TMHMM, HMMTOP, Phobius)
Generate consensus prediction based on majority voting
Identify potential membrane-associated domains using hydrophobicity analysis
Predict secondary structure elements using PSIPRED or JPRED
Experimental Topology Mapping:
Cysteine accessibility studies using membrane-impermeable reagents
Protease protection assays to identify exposed regions
Glycosylation mapping using artificial glycosylation sites
Epitope insertion and antibody accessibility studies
Data Integration:
Create scoring function that weights predictions based on experimental support
Identify regions of agreement and conflict between methods
Generate initial topology model with confidence scores for each region
Model Integration:
Bayesian integration of all data sources with appropriate weighting
Generation of ensemble models that reflect uncertainty in specific regions
Calculation of model quality metrics and confidence scores
Context-Dependent Modeling:
Model IIV3-066L in different states (pre-fusion, post-fusion)
Consider oligomeric states based on experimental evidence
Model interactions with other viral and host proteins
Visualization and Communication:
Generate high-quality structural visualizations highlighting key features
Create dynamic representations of potential conformational changes
Develop interactive models accessible to the research community
This integrative approach ensures that the final topology model of IIV3-066L is consistent with both computational predictions and experimental observations, providing a reliable foundation for understanding its function in the viral life cycle.
Based on current knowledge of IIV3-066L and related viral proteins, several promising research directions emerge for elucidating its functional role in viral pathogenesis. The following research avenues offer significant potential for advancing our understanding:
Structural Biology Approaches
High-resolution structure determination of IIV3-066L using cryo-EM or X-ray crystallography
Investigation of conformational changes during different stages of the viral life cycle
Structural comparison with homologous proteins from other iridoviruses to identify conserved functional elements
Host-Pathogen Interaction Studies
Identification of specific host receptors or binding partners in mosquito cells
Investigation of potential immunomodulatory functions in suppressing host antiviral responses
Analysis of tissue tropism determinants that contribute to the restricted host range of IIV-3
Functional Genomics
Development of reverse genetics systems for IIV-3 to create IIV3-066L mutants
CRISPR-Cas9 screening in host cells to identify essential factors for IIV3-066L function
Transcriptomic and proteomic profiling of host responses to wild-type versus mutant IIV3-066L
Evolutionary Biology
Comparative analysis of IIV3-066L across isolates from different geographical regions
Investigation of selective pressures shaping IIV3-066L evolution
Reconstruction of ancestral sequences to understand evolutionary trajectories
Translational Applications
Evaluation of IIV3-066L as a target for antiviral strategies in vector control
Assessment of IIV3-066L as a potential vaccine antigen for related viruses
Development of diagnostic tools based on IIV3-066L-specific antibodies
These research directions should be pursued using integrative approaches that combine computational, in vitro, and in vivo methodologies. The distinct evolutionary history of IIV-3 compared to other iridoviruses suggests that IIV3-066L may possess unique functional properties that contribute to the virus's biology and pathogenesis. Understanding these functions has potential implications not only for basic virology but also for applications in biotechnology and vector control.
To maximize the impact of IIV3-066L research and accelerate collective advancement in the field, researchers should implement a comprehensive strategy for publishing and sharing their findings. The following approaches are recommended:
Strategic Publication Planning
Target appropriate journal tiers based on the nature of the findings:
High-impact general science journals for breakthrough discoveries
Specialized virology journals for detailed mechanistic studies
Open access platforms to maximize accessibility
Consider preprint servers (bioRxiv, ResearchSquare) for rapid dissemination
Develop a publication pipeline that balances comprehensive studies with focused reports
Enhanced Data Presentation
Include interactive visualizations for complex structural data
Provide standardized data tables that facilitate meta-analysis
Create graphical abstracts that effectively communicate key findings
Utilize supplementary materials for detailed protocols and raw data
Comprehensive Resource Sharing
Deposit sequence data in public databases (GenBank, UniProt)
Submit structural data to the Protein Data Bank (PDB)
Share reagents through repositories like Addgene or BEI Resources
Develop and share computational tools and scripts via GitHub
Collaborative Research Frameworks
Establish consortium approaches for large-scale projects
Implement standardized protocols across laboratories
Develop material transfer agreements that facilitate sharing
Create collaborative online platforms for real-time data sharing
Knowledge Dissemination Beyond Publications
Present at relevant conferences in virology, structural biology, and vector biology
Develop educational resources for researchers entering the field
Conduct workshops on specialized techniques relevant to IIV3-066L research
Engage with the broader scientific community through science communication
Translational and Cross-Disciplinary Communication
Connect with researchers in applied fields such as vector control
Engage with computational biologists for advanced modeling approaches
Collaborate with structural biologists for specialized techniques
Establish dialogues with evolutionary biologists to contextualize findings
By implementing these strategies, researchers can ensure that findings related to IIV3-066L are effectively shared, validated, and built upon by the scientific community. This approach acknowledges that the restricted host range of IIV-3 to mosquitoes makes this virus and its proteins potentially valuable for understanding host-specific viral mechanisms and possibly for developing targeted vector control strategies.
Generating high-quality antibodies against IIV3-066L requires careful consideration of its transmembrane nature and potential structural complexity. The following comprehensive protocol is recommended for developing research-grade antibodies:
Antigen Design and Preparation:
Epitope Selection:
Perform computational analysis to identify hydrophilic, surface-exposed regions
Select multiple epitopes (15-25 amino acids) from different domains
Avoid transmembrane regions that might be poorly immunogenic
Consider both N-terminal and C-terminal regions for targeting
Antigen Production Options:
Immunization Strategies:
Animal Selection:
Rabbits for polyclonal antibodies (larger serum volumes)
Mice for monoclonal antibody development
Consider chickens for IgY production as an alternative
Immunization Protocol:
| Time Point | Procedure | Adjuvant |
|---|---|---|
| Day 0 | Primary immunization | Complete Freund's Adjuvant |
| Day 21 | First boost | Incomplete Freund's Adjuvant |
| Day 42 | Second boost | Incomplete Freund's Adjuvant |
| Day 63 | Final boost | PBS (for hybridoma development) |
| Day 70-75 | Serum collection or spleen harvest | - |
Monitoring Immune Response:
ELISA testing of serum samples after each boost
Western blot validation using recombinant protein
Immunofluorescence with IIV-3 infected cells when available
Antibody Production and Purification:
For Polyclonal Antibodies:
Collect serum and heat-inactivate at 56°C for 30 minutes
Purify IgG using Protein A/G affinity chromatography
Consider epitope-specific affinity purification
Validate specificity through Western blot and immunoprecipitation
For Monoclonal Antibodies:
Harvest splenocytes and fuse with myeloma cells
Screen hybridoma supernatants by ELISA
Select positive clones and subclone by limiting dilution
Expand selected clones for antibody production
Purify using Protein A/G chromatography
Validation and Characterization:
Specificity Testing:
Western blot against recombinant IIV3-066L
Immunoprecipitation from virus-infected cells
Immunofluorescence microscopy
Pre-absorption controls with immunizing antigen
Testing against related viral proteins to evaluate cross-reactivity
Functional Characterization:
Epitope mapping using peptide arrays or truncation mutants
Neutralization assays if applicable
Determination of binding affinity by ELISA or SPR
Assessment of application suitability (WB, IP, IF, IHC)
Documentation and Storage:
Complete documentation of all production and validation steps
Aliquot antibodies to avoid freeze-thaw cycles
Store at -20°C or -80°C for long-term preservation
Include preservatives (0.02% sodium azide) for 4°C working stocks
This comprehensive protocol provides a framework for generating research-quality antibodies against IIV3-066L that can be used for various applications including localization studies, protein-protein interaction analyses, and functional investigations.