IIV6-135R is synthesized via recombinant DNA technology:
Cloning: The gene encoding IIV6-135R is inserted into a bacterial expression vector.
Expression: E. coli is used as the host organism due to its efficiency in producing soluble proteins.
Purification: The His-tag facilitates affinity chromatography, yielding >90% purity as confirmed by SDS-PAGE .
Centrifuge briefly to collect contents.
Dissolve in deionized sterile water at 0.1–1.0 mg/mL.
While IIV6-135R’s biological role remains unclear, its study is contextualized within IIV-6’s broader virological profile:
Viral Genome: IIV-6 has a 215-gene genome, with transcription divided into immediate-early, delayed-early, and late classes .
Host Interactions: IIV-6 induces antiviral responses in mammalian cells via the RIG-I-like receptor (RLR) pathway, though this involves viral RNA intermediates rather than direct protein interactions .
Pathway Involvement: No pathways or interacting proteins have been identified for IIV6-135R to date .
IIV6-135R serves as a tool for studying:
Viral Replication: Used to investigate protein-protein interactions or structural dynamics in iridoviral assembly.
Immune Response Modulation: Though not directly studied, IIV-6’s ability to prime mammalian cells against arboviruses (e.g., VSV, Kunjin virus) suggests potential in antiviral research .
Biotechnological Engineering: Recombinant IIV6-135R may aid in developing gene-editing tools or vaccine adjuvants, leveraging homologous recombination methods demonstrated in IIV-6 studies .
Functional Characterization: No studies have directly linked IIV6-135R to specific enzymatic or structural roles in viral replication or host interactions.
Protein Interactions: Proteomic analyses (e.g., co-IP, pull-down assays) are needed to identify binding partners.
Pathway Mapping: High-throughput screens could elucidate conserved motifs or regulatory sequences within the IIV6 genome .
KEGG: vg:1733102
Invertebrate iridescent virus 6 (IIV-6), also known as Chilo iridescent virus, is a large double-stranded DNA virus belonging to the family Iridoviridae, specifically within the genus Iridovirus of the subfamily Betairidovirinae. The virus features a substantial genome of 212,482 base pairs with 215 non-overlapping open reading frames (ORFs) . The genome has a relatively low G+C content of 28.63%, which is characteristic of insect-infecting iridoviruses within this genus .
IIV-6 has a complex genomic organization with ORFs distributed on both strands of the viral genome—approximately 45% on the upper (R) strand and 55% on the lower (L) strand . This bidirectional coding strategy indicates complex transcriptional regulation and suggests that convergent overlapping transcription likely generates double-stranded RNA during infection, which can trigger host immune responses .
Uncharacterized proteins in IIV-6, including protein 135R, are named according to their position in the genome and the strand from which they are transcribed. The number represents the open reading frame's position, while the letter (R or L) indicates the genomic strand—R for the "upper" strand read from left to right, and L for the "lower" complementary strand .
These uncharacterized proteins are identified through bioinformatic analysis of the viral genome but lack experimental validation of their functions. While the IIV-6 genome contains 215 non-overlapping ORFs, the functions of many encoded proteins remain unknown, presenting significant challenges and opportunities for researchers . Based on genomic position and transcriptional direction, researchers can develop hypotheses about potential functional relationships with neighboring genes or other characterized viral proteins.
IIV-6 virions exhibit a complex trilaminar structure consisting of three concentric domains: an outer proteinaceous capsid, an intermediate lipid membrane with associated polypeptides, and an inner nucleocytoplasmic dsDNA genome core . The icosahedral capsid follows a triangulation number of T=147 lattice, contributing to the virus's structural stability and large size.
The virion's diameter measures approximately 120-130 nm in ultrathin sections, but can reach up to 185 nm when including the fibrils emanating from the capsid surface . Uncharacterized proteins like 135R may be components of any of these structural domains, potentially serving roles in capsid integrity, membrane association, or nucleic acid interactions. Understanding the localization of these proteins within the virion structure is crucial for determining their functional roles in the viral life cycle.
The efficient expression and purification of recombinant IIV-6 proteins like 135R typically involves a multi-stage process optimized for viral proteins. Based on established protocols for related IIV-6 proteins:
Expression system selection: Mammalian cell expression systems are often preferred for viral proteins requiring eukaryotic post-translational modifications . For IIV-6 proteins, researchers should consider using human embryonic kidney (HEK293) or Chinese hamster ovary (CHO) cell lines for expression.
Vector design: The coding sequence should be codon-optimized for the selected expression system and cloned into an appropriate vector containing a strong promoter (such as CMV). Incorporate purification tags (His, FLAG, or GST) positioned to minimize interference with protein folding and function .
Purification protocol: For recombinant IIV-6 proteins, a typical purification workflow includes:
Cell lysis under conditions that maintain protein solubility
Initial capture using affinity chromatography based on the fusion tag
Secondary purification via ion exchange or size exclusion chromatography
Quality assessment by SDS-PAGE to verify >85% purity, similar to other IIV-6 recombinant proteins
Storage optimization: For maximum stability, recombinant viral proteins should be stored with 5-50% glycerol at -20°C/-80°C to prevent freeze-thaw damage. Liquid formulations typically maintain stability for 6 months, while lyophilized preparations can remain stable for up to 12 months .
When designing experiments to study IIV-6 infection, researchers should implement comprehensive experimental designs that account for multiple variables and potential confounders:
Experimental group design: Implement true experimental designs with proper control groups. For IIV-6 studies, this often requires:
Randomization and replication: Ensure random assignment of subjects to experimental and control groups to minimize selection bias. For insect models, this requires standardizing age, size, and developmental stage .
Infection protocol standardization: Establish consistent viral dose (known as multiplicity of infection or MOI), inoculation route, and time points for analysis. For Drosophila models, intraabdominal inoculation has been effectively used for IIV-6 .
Measurement protocols: Implement multi-parameter assessment including:
Timeline considerations: Monitor infection progression over appropriate timescales. Research indicates IIV-6 can establish productive infection in model organisms with significant viral titer increases within 6 days post-infection .
To comprehensively characterize the subcellular localization and interaction network of IIV6-135R, researchers should employ complementary approaches:
Fluorescence microscopy techniques:
Generate fluorescent protein fusions (GFP-135R) for live-cell imaging
Perform immunofluorescence with antibodies against the tagged protein
Implement co-localization studies with organelle markers
Consider super-resolution microscopy for detailed subcellular distribution
Biochemical fractionation:
Separate infected cells into nuclear, cytoplasmic, membrane, and organelle fractions
Analyze fractions by Western blotting to determine protein distribution
Complement with density gradient ultracentrifugation to isolate viral assembly intermediates
Protein-protein interaction identification:
Conduct co-immunoprecipitation (Co-IP) using antibodies against the tagged protein
Implement proximity-based labeling methods (BioID or APEX) to identify neighboring proteins
Apply yeast two-hybrid or mammalian two-hybrid screening to identify direct interactions
Validate interactions using recombinant proteins in vitro with techniques like surface plasmon resonance
Cross-linking mass spectrometry:
Apply in vivo crosslinking to capture transient interactions
Perform liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify crosslinked peptides
Map interaction interfaces through computational analysis of crosslinked residues
The integration of these complementary approaches provides comprehensive insight into both localization patterns and the interaction network of IIV6-135R, establishing a foundation for functional characterization.
The interplay between IIV-6 and the host RNA interference (RNAi) system represents a critical aspect of host-pathogen interaction with important implications for studying uncharacterized proteins:
Research demonstrates that IIV-6, despite being a DNA virus, triggers the production of Dicer-2 (Dcr-2)-dependent viral small interfering RNAs (vsiRNAs) in infected hosts . This activation of RNAi occurs because IIV-6's bidirectional transcription from both genomic strands generates double-stranded RNA intermediates, which are recognized and processed by the host RNAi machinery .
For researchers investigating uncharacterized proteins like IIV6-135R, this RNAi interaction presents several methodological considerations:
Experimental approach for RNAi analysis:
Sequence small RNAs (19-30 nucleotides) from infected hosts using next-generation sequencing
Map small RNAs to the viral genome to identify hotspots of vsiRNA production
Compare vsiRNA profiles between wild-type hosts and RNAi-deficient mutants (e.g., Dcr-2 mutants)
Correlate vsiRNA abundance with transcript levels of specific viral genes
Functional implications:
Proteins targeted by abundant vsiRNAs may be particularly important for viral replication
Temporal analysis of vsiRNA production can reveal expression kinetics of uncharacterized proteins
Uncharacterized proteins might function in RNAi suppression or evasion
Research applications:
Use RNAi-based knockdown to assess the function of uncharacterized proteins
Develop RNAi escape mutants to identify essential viral genes
Compare vsiRNA profiles across different host species to identify conserved targets
The integration of RNAi pathway analysis with traditional protein characterization approaches provides a powerful strategy for elucidating the functions of uncharacterized viral proteins in the context of host-pathogen interactions.
For uncharacterized proteins like IIV6-135R, applying a systematic bioinformatic pipeline can substantially enhance functional predictions:
Sequence-based analysis:
Implement position-specific iterated BLAST (PSI-BLAST) to identify remote homologs
Perform multiple sequence alignment with other iridovirus proteins to identify conserved motifs
Apply hidden Markov model (HMM) profiling to detect functional domains
Utilize specialized viral protein databases like pVOGs (prokaryotic Virus Orthologous Groups)
Structural prediction approaches:
Generate tertiary structure predictions using AlphaFold2 or RoseTTAFold
Validate structural models through molecular dynamics simulations
Perform structural alignment against known protein structures to identify potential functional analogs
Map conserved residues onto the predicted structure to identify functional sites
Integrated functional prediction:
Analyze predicted post-translational modifications using NetPhos, NetOGlyc, and similar tools
Implement subcellular localization prediction using DeepLoc or PSORT
Apply computational tools specifically designed for viral proteins like VIRALpro
Utilize gene neighborhood analysis to identify functional associations with adjacent genes
Evolutionary analysis:
Construct phylogenetic trees to determine evolutionary relationships with characterized proteins
Calculate selection pressure (dN/dS ratios) to identify regions under positive selection
Compare synteny across related viral genomes to identify conserved gene clusters
Apply coevolution analysis to predict protein-protein interactions
For uncharacterized IIV-6 proteins, these bioinformatic approaches should be applied within the context of the known genomic characteristics (28.63% G+C content) and taxonomic relationships (within the oligoiridovirus group) , enhancing the specificity and accuracy of the predictions.
Comparative genomic analysis across different iridovirus isolates provides powerful insights into the potential functions of uncharacterized proteins like IIV6-135R:
Conservation analysis across iridovirus species:
The Iridoviridae family contains multiple genera with varying genomic characteristics as illustrated in the table below:
Genus | Representative Species | Genome Size (bp) | ORF Count | G+C Content | Host Range |
---|---|---|---|---|---|
Iridovirus | IIV-6 | 212,482 | 215 | 28.63% | Insects, arthropods |
Iridovirus | IIV-31 | 220,222 | 203 | 35.09% | Crustaceans |
Chloriridovirus | IIV-3 | 191,132 | 126 | 48% | Diptera (mosquitoes) |
Chloriridovirus | IIV-9 | 205,791 | 191 | 31% | Diptera |
By analyzing the presence, absence, and sequence similarity of the 135R ortholog across these diverse iridoviruses, researchers can infer:
Synteny analysis:
Examine the genomic context of 135R across different iridovirus genomes
Identify consistently co-occurring genes that may function in the same pathway
Detect operon-like structures indicating coordinated expression
Look for evidence of horizontal gene transfer events
Sequence divergence patterns:
Calculate nucleotide and amino acid substitution rates across orthologous sequences
Identify conserved motifs and domains that may be functionally important
Analyze selective pressure (dN/dS ratios) to detect regions under positive or purifying selection
Examine insertion/deletion patterns that may relate to host adaptation
Application to functional prediction:
Proteins conserved across all iridoviruses likely serve core viral functions
Proteins unique to specific genera may relate to host range or tissue tropism
Rapidly evolving regions might indicate immune evasion functions
Conservation patterns can guide targeted mutagenesis for functional validation
This comparative approach has been successful in resolving ambiguous relationships between iridovirus isolates and improving classification , demonstrating its utility for functional prediction of uncharacterized proteins.
Researchers face several significant challenges when working with recombinant IIV-6 proteins:
Solubility limitations:
IIV-6 structural proteins often exhibit poor solubility due to their hydrophobic properties and tendency to aggregate. To address this:
Implement solubility-enhancing fusion tags (MBP, SUMO, or TRX)
Optimize expression temperature (typically lowering to 16-18°C)
Screen multiple detergents for membrane-associated viral proteins
Consider coexpression with viral or host chaperone proteins
Protein stability issues:
Many viral proteins show limited stability outside their native environment. Strategies to improve stability include:
Post-translational modifications:
Insect virus proteins may require specific post-translational modifications for proper folding and function:
Select expression systems capable of appropriate modifications (mammalian cells preferred)
Verify modification status using mass spectrometry
Consider insect cell expression systems to better recapitulate native modifications
Implement site-directed mutagenesis to eliminate problematic modification sites
Functional validation:
For uncharacterized proteins like 135R, confirming proper folding is challenging:
Develop functional assays based on predicted protein activities
Implement circular dichroism to assess secondary structure integrity
Use thermal denaturation assays to compare stability with native protein
Validate interaction partners as a proxy for correct folding
Each recombinant IIV-6 protein requires empirical optimization of these parameters, with careful documentation of successful conditions to establish reproducible protocols.
Control design hierarchy:
The experimental design should include multiple levels of controls:
Controls for recombinant protein studies:
When studying specific IIV-6 proteins like 135R:
Express and purify a non-relevant protein using identical methods
Create inactive mutants through site-directed mutagenesis of predicted active sites
Generate truncated protein variants lacking specific domains
Use unrelated viral proteins from the same structural class
Addressing threats to internal validity:
Experimental designs must control for several types of validity threats :
Non-comparable groups: Use randomization and matching techniques
Endogenous change: Include time-matched controls
External events: Conduct parallel control experiments
Contamination: Implement rigorous sterility controls
Treatment misidentification: Verify protein identity through mass spectrometry
Specialized controls for RNA interference studies:
When examining IIV-6 interactions with RNAi pathways:
A properly designed control strategy addresses the "reactivity" problem described in experimental design literature , ensuring that observed effects are due to the viral protein's function rather than artifacts of the experimental system.
When faced with contradictory results in viral protein characterization studies, researchers should implement a systematic resolution approach:
Methodological reconciliation:
Conduct detailed comparison of experimental protocols between contradictory studies
Identify potential variables that might explain differences (cell types, protein tags, buffers)
Implement standardized protocols across laboratories to minimize technical variation
Consider interlaboratory validation studies with identical reagents and protocols
Biological context exploration:
Investigate how different host systems might affect protein function
Examine temporal dynamics throughout infection (early vs. late expression)
Consider viral strain variations that might affect protein structure or function
Evaluate the influence of host factors and cellular conditions
Integrated multi-approach validation:
Combine orthogonal techniques to verify findings (e.g., structural, biochemical, and genetic approaches)
Implement CRISPR/Cas9 genome editing of viral genomes to validate protein function
Apply mathematical modeling to reconcile seemingly contradictory observations
Develop quantitative rather than qualitative readouts to better compare results
Data integration framework:
Implement meta-analysis methodologies to systematically evaluate contradictory results
Develop weighted evidence schemes based on methodological rigor
Consider Bayesian approaches to update confidence in specific hypotheses as new data emerges
Establish community standards for minimal information reporting in iridovirus studies
This systematic approach acknowledges that contradictions often reveal important biological complexities rather than experimental failures, potentially leading to deeper understanding of context-dependent protein functions.
Several cutting-edge technologies are poised to revolutionize our understanding of uncharacterized viral proteins like IIV6-135R:
Cryo-electron microscopy (cryo-EM) and tomography:
Single-particle cryo-EM can reveal the structure of purified 135R at near-atomic resolution
Cryo-electron tomography can localize 135R within the complex IIV-6 virion structure
Correlative light and electron microscopy (CLEM) can track 135R during the viral life cycle
Focused ion beam milling combined with tomography can visualize 135R in the cellular context
High-throughput functional genomics:
CRISPR interference/activation screens in insect cells can identify host factors interacting with 135R
Massively parallel reporter assays can characterize regulatory functions
Global thermal proteome profiling can identify drug targets and binding partners
Synthetic genomics approaches to create minimal viable IIV-6 variants can determine essentiality
Advanced structural prediction and modeling:
AI-driven structure prediction (AlphaFold2, RoseTTAFold) can generate highly accurate structural models
Molecular dynamics simulations can predict protein dynamics and functional states
Integrative modeling combining sparse experimental data with computational prediction
Deep mutational scanning to map sequence-function relationships
Single-virus and single-cell technologies:
Single-virus tracking to monitor the dynamics of fluorescently labeled 135R during infection
Single-cell transcriptomics to characterize cell-to-cell variation in response to 135R expression
Single-cell proteomics to identify changes in the host proteome upon viral infection
Microfluidics-based assays to study infection dynamics at the single-cell level
These technologies, especially when applied in combination, offer unprecedented resolution for characterizing previously inaccessible aspects of viral protein function within the complex host-pathogen interface.
Uncharacterized viral proteins like IIV6-135R represent untapped resources for biotechnological innovation:
Novel enzyme discovery:
DNA/RNA modifying enzymes with unique properties
Protein modification catalysts with potential applications in protein engineering
Metabolic enzymes with industrial applications
Polymerases with distinctive fidelity or substrate preferences
Cell biology research tools:
Protein translocation or trafficking regulators for manipulating cellular compartments
Novel fluorescent protein scaffolds for imaging applications
Regulators of host cell gene expression for synthetic biology
Viral capsid proteins as nanocontainers for drug delivery
Immunological applications:
Novel adjuvants or immune modulators
Protein scaffolds for vaccine development
Immune evasion mechanisms with therapeutic potential
Diagnostic reagents for detecting insect viruses
Synthetic biology components:
Genetic parts for orthogonal regulatory systems
Novel DNA-binding domains for synthetic transcription factors
Protein-protein interaction domains for building synthetic signaling pathways
Membrane-modifying proteins for creating artificial vesicles or organelles
The unique evolutionary history of IIV-6 as an insect-specific virus suggests its proteins may have distinctive properties optimized for functioning in arthropod hosts, potentially offering novel activities not found in better-characterized mammalian virus systems or bacterial proteins currently used in biotechnology.