Recombinant Invertebrate iridescent virus 3 Uncharacterized protein IIV3-013L (IIV3-013L) is a synthetic protein derived from the mosquito iridescent virus (MIV), a member of the Chloriridovirus genus within the Iridoviridae family . This 90-amino-acid (aa) protein is expressed in E. coli with an N-terminal His tag for purification and structural studies . Its biological function remains uncharacterized, though genomic analyses suggest roles in viral-host interactions or regulatory processes .
IIV3-013L is encoded by ORF IIV3-013L in the 190-kbp genome of IIV-3, which lacks colinearity with other iridoviruses . Key findings include:
Low Homology: Shares only 31% aa identity with IIV-6’s 141R protein, indicating divergence from other Iridovirus genus members .
Unique Genomic Features: The IIV-3 genome contains repetitive DNA regions and 33 unique genes, including IIV3-013L, which lacks homologs in vertebrate iridoviruses .
Functional Speculation: While uncharacterized, its short length and expression in viral particles suggest potential roles in capsid formation, membrane interaction, or host immune evasion .
IIV3-013L is utilized in virology and structural biology for studying viral assembly, host-pathogen interactions, and antibody development. Key suppliers include:
Despite its availability, IIV3-013L’s functional role remains unresolved. Priorities include:
Structural Studies: X-ray crystallography to determine 3D conformation.
Interaction Mapping: Identification of host/viral binding partners.
Functional Knockouts: Assessing phenotypic effects in IIV-3-infected mosquitoes.
This protein serves as a critical tool for elucidating evolutionary divergence within Iridoviridae and advancing antiviral strategies against mosquito-borne pathogens .
KEGG: vg:4156262
IIV3-013L is a small uncharacterized protein from Invertebrate iridescent virus 3 with a full length of 90 amino acids. Currently available recombinant versions include His-tagged variants expressed in E. coli systems . The protein's small size suggests it may function as a regulatory element or accessory protein rather than having enzymatic activity. Structural analysis would typically begin with secondary structure prediction using computational tools, followed by experimental approaches such as circular dichroism (CD) spectroscopy to determine alpha-helix and beta-sheet content. For definitive structure determination, researchers should consider X-ray crystallography or NMR spectroscopy depending on protein stability and expression yields.
While E. coli expression systems are currently used for commercial production of recombinant IIV3-013L , researchers should consider multiple expression platforms depending on their experimental requirements. Bacterial expression in E. coli remains cost-effective for initial studies, but lacks post-translational modifications. For functional studies, insect cell expression systems (such as Sf9 or High Five cells with baculovirus vectors) may provide more authentic viral protein processing. Methodologically, researchers should optimize codon usage for the chosen expression system, test multiple affinity tags (His, GST, MBP) for improved solubility, and evaluate various induction conditions to maximize yield while maintaining proper folding.
As an uncharacterized protein, comparative genomics represents a valuable approach to understanding IIV3-013L function. Researchers should perform phylogenetic analysis using BLAST searches against other iridovirus genomes and related DNA virus families. When analyzing conservation patterns, focus on: (1) identification of conserved domains or motifs that may indicate function, (2) patterns of positive or negative selection that suggest functional constraints, and (3) presence of homologs in related virus families. Multiple sequence alignments should be performed using tools such as MUSCLE or CLUSTAL, followed by construction of phylogenetic trees to visualize evolutionary relationships.
For uncharacterized viral proteins like IIV3-013L, researchers should implement a multi-faceted approach combining computational predictions with experimental validation. Begin with bioinformatic analyses including protein domain prediction, structural modeling, and identification of potential functional motifs. Experimentally, protein-protein interaction studies using approaches such as yeast two-hybrid screening, co-immunoprecipitation followed by mass spectrometry, or BioID proximity labeling can identify binding partners that suggest function . Gene knockout or knockdown studies in infected cells, if feasible, can reveal phenotypic effects. RNA-seq analysis comparing wild-type to mutant virus infections can identify pathways affected by the protein. For methodological rigor, employ multiple complementary approaches and validate findings across different experimental systems.
Since IIV3-013L's interaction partners remain undetermined , a systematic approach to identifying potential interactions is warranted. Methodologically, researchers should:
Employ affinity purification-mass spectrometry (AP-MS) using tagged IIV3-013L expressed in relevant host cells
Validate potential interactions using reciprocal co-immunoprecipitation with antibodies against endogenous proteins
Confirm direct interactions with purified components using biophysical methods like surface plasmon resonance (SPR)
Map interaction domains through truncation mutants and site-directed mutagenesis
Visualize co-localization in cells using confocal microscopy with fluorescently-tagged proteins
This multi-method approach increases confidence in identified interactions while providing complementary information about binding dynamics and cellular context.
To investigate IIV3-013L's potential role in viral replication and immune evasion, researchers should design experiments examining viral fitness and host responses. Create IIV3-013L knockout mutants using reverse genetics systems if available for IIV-3. Compare replication kinetics between wild-type and mutant viruses in multiple cell types. Analyze changes in host gene expression during infection using RNA-seq or proteomics approaches, focusing on innate immune pathways. Examine whether IIV3-013L interacts with specific host immune factors using the interaction methods described previously. For methodological robustness, include time-course experiments to capture dynamic changes and use multiple cell types to identify cell-specific effects.
When characterizing recombinant IIV3-013L biochemically, researchers should systematically optimize buffer conditions and experimental parameters. The following table outlines recommended parameter ranges for initial characterization:
Parameter | Range to Test | Methodology |
---|---|---|
pH | 5.0-9.0 in 0.5 increments | Thermal shift assay to identify pH of maximum stability |
Salt concentration | 0-500 mM NaCl | Size exclusion chromatography to assess oligomeric state |
Reducing agents | 0-5 mM DTT or TCEP | Comparison of activity/stability ± reducing agents |
Temperature | 4-37°C | Activity and stability assays at various temperatures |
Storage conditions | Various buffers, ±glycerol, lyophilized | Long-term stability assessment by activity assays |
Since IIV3-013L is uncharacterized, researchers should also screen for potential enzymatic activities including nuclease, protease, and RNA-binding functions using appropriate biochemical assays. Thermal shift assays (Thermofluor) can rapidly screen multiple buffer conditions to identify those providing maximum protein stability.
For structural studies of IIV3-013L, a systematic crystallization screening approach is recommended. Begin with protein quality assessment using dynamic light scattering to confirm monodispersity. Test multiple protein constructs with various tags and tag-removal options, as the His-tag may interfere with crystallization. Employ commercial sparse matrix screens at multiple temperatures (4°C, 18°C) and protein concentrations (5-20 mg/mL). If initial hits are obtained, optimize using fine gradient screens varying precipitant concentration, pH, and additives. For challenging cases, consider surface entropy reduction mutants, where surface lysine/glutamate residues are mutated to alanines to promote crystal contacts. Alternative approaches include small-angle X-ray scattering (SAXS) for low-resolution envelope determination or NMR for solution structure if the protein is stable at high concentrations.
When faced with contradictory functional data about uncharacterized proteins like IIV3-013L, researchers should implement a systematic troubleshooting approach:
Evaluate experimental variability by increasing biological and technical replicates
Consider cell type-specific effects by testing multiple relevant host cell systems
Examine protein expression levels, as overexpression may cause artifacts
Test multiple protein tags and tag positions, as these can interfere with function
Validate antibody specificity using knockout controls and multiple detection methods
Consider temporal aspects—function may differ at various stages of infection
Most importantly, triangulate findings using orthogonal experimental approaches that provide complementary evidence. Document all experimental conditions thoroughly to identify variables that may explain discrepancies, and consider collaborating with laboratories using different methodologies to independently verify findings.
For comprehensive characterization of potential post-translational modifications (PTMs) in IIV3-013L, researchers should implement a multi-enzyme digestion strategy. Since IIV3-013L is a relatively small protein (90 amino acids) , combining digests with trypsin, chymotrypsin, and Glu-C can provide complementary peptide coverage. For phosphorylation analysis, use titanium dioxide enrichment combined with IMAC (immobilized metal affinity chromatography). For glycosylation studies, employ a combination of PNGase F treatment with 18O water to differentiate N-linked glycosylation from deamidation. Use both collision-induced dissociation (CID) and electron transfer dissociation (ETD) fragmentation methods, as ETD better preserves labile modifications. Analyze data with multiple search algorithms (e.g., Mascot, MaxQuant, and PEAKS) using appropriate PTM variable modifications, and validate findings with site-directed mutagenesis of modified residues.
Understanding when IIV3-013L is expressed during infection provides important functional insights. Researchers should implement a time-course study design with the following methodological components:
Synchronize infection using high MOI (multiplicity of infection)
Collect samples at multiple timepoints (0, 2, 4, 8, 12, 24, 48 hours post-infection)
Analyze RNA expression using RT-qPCR with primers specific to IIV3-013L
Measure protein levels using western blot with antibodies against IIV3-013L or its tag
Classify as immediate-early, early, or late gene based on expression timing
Verify classification using metabolic inhibitors of viral DNA replication
Compare expression patterns with known immediate-early, early, and late viral genes as internal controls. For visual confirmation, perform fluorescence in situ hybridization (FISH) for RNA and immunofluorescence for protein localization at each timepoint.
CRISPR-Cas9 technology offers powerful approaches for studying viral proteins like IIV3-013L. For viruses with established reverse genetics systems, directly edit the viral genome to create knockout or tagged versions of IIV3-013L. Design multiple guide RNAs targeting different regions of the IIV3-013L gene to ensure complete knockout, and include PAM site mutations in repair templates to prevent re-cutting. For phenotypic analysis, compare replication kinetics, plaque morphology, and host cell responses between wild-type and mutant viruses. Additionally, CRISPR interference (CRISPRi) or CRISPR activation (CRISPRa) systems can be used to modulate IIV3-013L expression without permanent genomic changes. For host factor studies, perform CRISPR screens in susceptible cell lines to identify host genes that specifically affect IIV3-013L function, focusing on genes showing synthetic lethality or rescue effects with IIV3-013L mutations.
For uncharacterized proteins like IIV3-013L, combining computational predictions with experimental validation creates a powerful iterative research approach. Begin with multiple structural prediction tools (PSIPRED, I-TASSER, AlphaFold) to generate consensus models of protein structure. Use these models to identify potential functional sites for experimental testing. Apply computational docking studies to predict interactions with nucleic acids or other proteins identified in experimental screens. Machine learning approaches trained on viral protein datasets can generate functional hypotheses based on sequence patterns alone. Critically, the experimental validation process should follow this workflow:
Generate predictions using multiple computational methods
Design targeted experiments to test specific predictions
Use experimental results to refine computational models
Iterate between computational and experimental approaches
This cyclical process progressively narrows the functional hypothesis space while building confidence in predictions.
To investigate IIV3-013L's potential role in host range determination, researchers should implement a comparative infection model across multiple host species and tissue types. Design experiments including:
Generate wild-type and IIV3-013L-deficient viruses using reverse genetics
Test infection efficiency in cell lines derived from multiple potential host species
Measure viral entry, replication, and spread using reporter-tagged viruses
Perform ex vivo infections of relevant tissue explants when possible
Compare transcriptional responses between permissive and non-permissive cells using RNA-seq
The following table outlines a systematic experimental design:
Experimental Comparison | Methods | Measurements | Expected Outcomes |
---|---|---|---|
Multiple cell types from different species | Infection with WT vs. ΔIIv3-013L viruses | Viral titers at multiple timepoints | Differential growth patterns if involved in host range |
Complementation studies | Provide IIV3-013L in trans | Rescue of replication defects | Confirmation of direct role in observed phenotypes |
Host-protein interaction mapping | AP-MS in cells from different hosts | Identification of species-specific interactions | Insight into molecular basis of host specificity |
Viral competition assays | Co-infection with WT and mutant virus | Relative fitness in different host cells | Quantitative measure of selection pressure |
This comprehensive approach will distinguish between direct effects on host range and secondary consequences of altered viral fitness.
To investigate potential interactions between IIV3-013L and host immune pathways, researchers should implement a multi-level experimental design that examines effects on specific immune mechanisms. Begin with comparative infections using wild-type and IIV3-013L-deficient viruses, measuring activation of key immune pathways including:
Type I interferon production and signaling (IFN-β reporter assays)
NF-κB pathway activation (reporter assays and nuclear translocation)
Inflammasome activation (IL-1β processing, caspase-1 activation)
Pattern recognition receptor signaling (RIG-I, cGAS-STING pathways)
Major histocompatibility complex (MHC) expression and antigen presentation
For each pathway, perform gain-of-function experiments expressing IIV3-013L alone to determine if it is sufficient to modulate the pathway independently of other viral factors. Use co-immunoprecipitation and proximity ligation assays to identify direct interactions with immune components. Additionally, perform domain mapping to identify regions of IIV3-013L required for immune modulation, and conduct comparative studies across different host species to reveal potential species-specific immune evasion mechanisms.
Despite commercial availability of recombinant IIV3-013L protein , significant knowledge gaps remain that hinder understanding of this viral protein. Priority research areas should include: (1) basic structural characterization using X-ray crystallography or NMR spectroscopy, (2) identification of binding partners in both viral and host contexts, (3) temporal expression analysis during infection to classify as immediate-early, early, or late viral gene, (4) localization studies to determine cellular compartmentalization, and (5) functional studies using reverse genetics approaches. Additionally, comparative analysis across related iridoviruses could provide evolutionary context and functional insights. The field would benefit from development of specific antibodies against native IIV3-013L to facilitate studies without relying on epitope tags that may interfere with function.
Emerging technologies offer powerful new approaches to studying uncharacterized viral proteins like IIV3-013L. Cryo-electron microscopy can now resolve near-atomic structures of proteins previously resistant to crystallization. Advanced mass spectrometry techniques including hydrogen-deuterium exchange (HDX-MS) and cross-linking mass spectrometry (XL-MS) can map protein interactions and conformational changes in near-native conditions. Spatial transcriptomics and proteomics approaches can reveal the impact of viral proteins on host cell organization. CRISPR-based technologies enable precise genome editing for functional studies. Single-molecule techniques such as FRET and optical tweezers can examine dynamic protein behavior. Integrating artificial intelligence approaches like AlphaFold with experimental validation will accelerate characterization of structure-function relationships. For maximum impact, researchers should consider forming collaborative networks that combine these complementary technologies to comprehensively characterize proteins like IIV3-013L.
To advance understanding of uncharacterized viral proteins like IIV3-013L, the field would benefit from adopting a consensus methodology that combines standardized approaches with flexible, protein-specific investigations. A proposed framework includes:
Structural characterization: Combine computational prediction with experimental validation using X-ray crystallography, NMR, or cryo-EM
Interaction mapping: Implement at least two orthogonal approaches (AP-MS, Y2H, BioID) to identify interaction partners
Temporal analysis: Establish expression timing during infection cycle using standardized time points
Localization studies: Determine subcellular localization using confocal microscopy and biochemical fractionation
Functional screening: Test involvement in key viral processes (replication, assembly, immune evasion)
Comparative analysis: Examine conservation and variation across related viruses
Phenotypic validation: Create gene deletions or mutations to confirm functional hypotheses