KEGG: vg:951357
Sulfolobus islandicus rod-shaped virus 1 (SIRV-1) is an archaeal virus that infects hyperthermophilic acidophiles of the genus Sulfolobus, which thrive in extreme environments with temperatures of 75-85°C and pH levels of 2-3. Uncharacterized protein 268 (268 amino acids in length) represents one of the viral proteins whose function remains to be fully elucidated. This protein is significant for research because it provides insights into viral adaptation to extreme environments and potential novel biochemical properties associated with thermostability .
The significance of studying this protein extends beyond virology, as proteins from extremophilic organisms often possess unique structural features and enzymatic properties that may have biotechnological applications. Understanding the structure-function relationship of this protein could reveal novel biological mechanisms employed by viruses to survive in extreme conditions.
For optimal storage of this recombinant protein, the following conditions should be maintained:
| Storage Purpose | Temperature | Buffer Conditions | Maximum Storage Time |
|---|---|---|---|
| Long-term storage | -20°C to -80°C | Tris-based buffer with 50% glycerol | Several months to years |
| Working stock | 4°C | Tris-based buffer with 50% glycerol | Up to one week |
| Experimental use | On ice | Working buffer | During experiment only |
Repeated freeze-thaw cycles significantly compromise protein integrity and should be avoided. Instead, prepare small aliquots during initial handling to minimize the need for multiple freeze-thaw events . The high glycerol content (50%) in the storage buffer is critical for maintaining protein stability by preventing ice crystal formation that could denature the protein structure.
Validation of identity and purity should follow a multi-method approach:
SDS-PAGE analysis to confirm the expected molecular weight (~30 kDa based on the 268 amino acid sequence)
Western blotting using antibodies against the protein or any fusion tags
Mass spectrometry for precise molecular weight confirmation and peptide mapping
Circular dichroism to assess secondary structure integrity
Size exclusion chromatography to evaluate oligomeric state and homogeneity
For quantitative experiments, protein concentration should be determined using multiple methods, including:
Bradford or BCA assay for total protein concentration
UV absorbance at 280 nm (using the calculated extinction coefficient based on aromatic amino acid content)
Amino acid analysis for absolute quantification
These validation steps are essential prerequisites for ensuring experimental reproducibility and reliable data interpretation.
A comprehensive functional characterization strategy should incorporate several complementary approaches:
Structural Analysis Methods:
X-ray crystallography or Cryo-EM to determine three-dimensional structure
NMR spectroscopy for dynamic aspects and interaction sites
Small-angle X-ray scattering (SAXS) for solution structure information
Functional Screening Approaches:
Protein-protein interaction studies using pull-down assays, yeast two-hybrid, or proximity labeling
DNA/RNA binding assays (EMSA, filter binding assays) to test nucleic acid interaction capacity
Enzymatic activity screening against various substrates
Host proteome interaction studies using co-immunoprecipitation followed by mass spectrometry
In silico Analysis:
Structural homology modeling and comparison with known protein structures
Sequence-based predictive algorithms for potential functional domains
Molecular dynamics simulations to predict stability at high temperatures
The integration of these methodologies provides a robust framework for functional hypothesis generation and testing. When implemented sequentially, starting with computational predictions followed by biochemical validation, this approach maximizes resource efficiency while systematically narrowing potential functional assignments .
Developing effective thermostability assays for this archaeal viral protein requires consideration of its extreme environment origin. The following methodological framework is recommended:
Differential Scanning Calorimetry (DSC) Protocol:
Prepare protein samples at 0.5-1.0 mg/mL in appropriate buffers
Perform temperature scans from 25°C to 95°C at a rate of 1°C/minute
Calculate melting temperature (Tm) and enthalpy of unfolding
Compare Tm values across different buffer conditions to optimize stability
Circular Dichroism (CD) Thermal Denaturation:
Record CD spectra at increasing temperatures (25°C to 95°C)
Monitor changes in secondary structure elements
Plot fractional denaturation versus temperature to determine transition points
Activity Retention Assays:
Incubate protein aliquots at various temperatures (60°C, 70°C, 80°C, 90°C)
Remove samples at defined time intervals (5, 15, 30, 60, 120 minutes)
Measure residual activity or structural integrity
Calculate half-life at each temperature
Comparative Analysis Framework:
Include mesophilic protein controls in parallel experiments
Normalize data to initial activity/structure measurements
Generate Arrhenius plots to calculate activation energy of denaturation
These approaches provide quantitative metrics for protein thermostability and establish a foundation for structure-function studies relating to environmental adaptation mechanisms.
The expression and purification of this archaeal viral protein presents unique challenges due to its extremophilic origin. A recommended protocol includes:
Expression System Selection:
E. coli BL21(DE3) with codon optimization for archaeal codon usage
Alternative consideration: Thermophilic expression hosts for proper folding
Vector selection incorporating heat-stable selection markers
Optimized Expression Protocol:
Transform expression construct into host cells
Culture cells at 37°C to OD600 of 0.6-0.8
Induce with 0.5 mM IPTG
Shift temperature to 30°C for 4-6 hours (to balance yield with solubility)
Harvest cells by centrifugation (5,000 × g, 15 minutes, 4°C)
Purification Strategy:
Resuspend cells in lysis buffer (50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole)
Lyse cells using sonication or pressure-based methods
Heat treatment (65°C for 20 minutes) to leverage natural thermostability
Remove precipitated host proteins by centrifugation (20,000 × g, 30 minutes, 4°C)
Perform immobilized metal affinity chromatography (IMAC)
Apply size exclusion chromatography for final polishing
Concentrate protein and exchange into storage buffer
Yield Assessment:
Typical yield: 5-15 mg purified protein per liter of bacterial culture
Purity confirmation by SDS-PAGE (>95% homogeneity)
Functional validation through activity assays or structural analysis
This methodology emphasizes utilizing the intrinsic thermostability of the protein as a purification advantage, allowing for significant removal of contaminating E. coli proteins through heat precipitation steps.
Investigating protein-protein interactions between this viral protein and host components requires specialized approaches accounting for the extremophilic nature of both virus and host. A comprehensive investigation should include:
In vitro Interaction Analysis:
Recombinant expression of Sulfolobus cellular proteins
Pull-down assays using immobilized Uncharacterized protein 268
Surface plasmon resonance (SPR) for binding kinetics determination
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Microscale thermophoresis for interaction studies under varied conditions
In vivo Approaches:
Proximity-dependent biotin identification (BioID) with protein 268 as bait
Co-immunoprecipitation coupled with mass spectrometry (IP-MS)
Fluorescence resonance energy transfer (FRET) with fluorescently labeled proteins
Split-reporter protein complementation assays
Comparative Interaction Analysis:
Test interactions at different temperatures (37°C, 60°C, 80°C)
Evaluate pH-dependent interaction profiles (pH 2-7)
Compare interaction networks with related archaeal viruses
The identified interactions should be validated through multiple independent methods and integrated with structural data to map interaction interfaces. This multi-faceted approach addresses the challenge of studying extremophilic protein interactions under physiologically relevant conditions while minimizing artifacts.
Studying protein structure under extremophilic conditions requires specialized approaches:
High-Temperature Structural Analysis:
Temperature-controlled X-ray crystallography (20-80°C)
NMR spectroscopy with variable temperature experiments
High-temperature CD spectroscopy with specialized cells
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) at elevated temperatures
Acidic pH Structural Studies:
Crystallization screens at pH 2-4
Solution NMR at acidic pH with internal standards
Acidic pH-resistant sample cells for biophysical measurements
Comparative Structural Data Collection:
| Method | Temperature Range | pH Range | Resolution | Key Information Obtained |
|---|---|---|---|---|
| X-ray Crystallography | 20-80°C | 2-7 | 1.5-3.0 Å | Atomic structure, crystal contacts |
| Cryo-EM | N/A (frozen) | N/A (frozen) | 2.5-4.0 Å | Native-like conformation |
| NMR Spectroscopy | 25-70°C | 2-7 | Atomic | Dynamics, flexible regions |
| SAXS | 20-80°C | 2-7 | 10-20 Å | Solution shape, aggregation |
| CD Spectroscopy | 20-95°C | 2-7 | Secondary structure | Thermal unfolding, secondary structure |
Structure Stabilization Strategies:
Chemical crosslinking to capture transient states
Nanodiscs or amphipols for membrane-interacting regions
Deuterium oxide (D₂O) buffer to minimize radiation damage
These approaches collectively enable structural characterization under conditions mimicking the natural archaeal host environment, providing insights into protein adaptations to extreme conditions .
Designing effective comparative studies requires systematic sequence and structural analyses followed by functional comparisons:
Sequence-Based Comparative Analysis:
Perform PSI-BLAST searches against archaeal viral databases
Use HHpred and other hidden Markov model approaches to detect distant homologs
Construct multiple sequence alignments with MAFFT or MUSCLE
Generate phylogenetic trees to understand evolutionary relationships
Identify conserved motifs and variable regions
Structural Comparison Methodology:
Generate structural models using AlphaFold or RoseTTAFold
Perform structural alignments using DALI or TM-align
Quantify structural conservation using RMSD and GDT scores
Map conservation onto structures to identify functional hotspots
Functional Conservation Assessment:
Express and purify homologous proteins using identical protocols
Compare thermostability profiles under standardized conditions
Assess binding properties to identical substrates/partners
Measure enzymatic parameters if applicable
Data Integration Framework:
| Analysis Level | Methods | Outcome Measures | Application |
|---|---|---|---|
| Sequence | Multiple sequence alignment | Conservation scores, Ka/Ks ratios | Identify selection pressure |
| Structure | Structural superposition | RMSD, GDT, CAD-score | Map functional domains |
| Function | Parallel activity assays | Km, kcat, binding constants | Compare biochemical properties |
| Host-range | Infection assays, binding studies | Host specificity patterns | Correlate protein features with host range |
Solubility challenges with this archaeal viral protein often stem from its adaptation to extreme environments. Systematic troubleshooting approaches include:
Expression Optimization Strategies:
Lower induction temperature (16-25°C)
Reduce inducer concentration (0.1-0.3 mM IPTG)
Use auto-induction media for gradual protein expression
Co-express with archaeal chaperones (e.g., thermosome components)
Test multiple fusion tags (MBP, SUMO, TrxA) known to enhance solubility
Buffer Optimization Protocol:
Screen buffers across pH range 4.0-8.0
Test different salt concentrations (100-500 mM NaCl)
Evaluate stabilizing additives:
| Additive Category | Examples | Working Concentration | Mechanism |
|---|---|---|---|
| Osmolytes | Glycerol, Trehalose, Betaine | 5-20% | Stabilize protein structure |
| Detergents | DDM, CHAPS, Tween-20 | 0.01-0.1% | Prevent aggregation |
| Reducing agents | DTT, TCEP, β-mercaptoethanol | 1-5 mM | Maintain reduced cysteines |
| Divalent cations | Mg²⁺, Ca²⁺, Zn²⁺ | 1-10 mM | Stabilize protein structure |
Refolding Strategies:
Solubilize inclusion bodies in 8M urea or 6M guanidine HCl
Perform stepwise dialysis at elevated temperatures (40-60°C)
Apply on-column refolding during affinity purification
Use artificial chaperone-assisted refolding with cyclodextrin
Structural Modification Approaches:
Truncate flexible termini based on disorder predictions
Design solubility-enhancing point mutations at surface residues
Create chimeric constructs with soluble archaeal proteins
Implementation of these strategies should follow a decision tree approach, starting with expression optimization before proceeding to more labor-intensive refolding procedures.
Protein degradation during purification requires a systematic troubleshooting approach:
Preventative Measures During Lysis:
Maintain samples at 4°C throughout processing
Include protease inhibitor cocktail optimized for archaeal proteases
Add EDTA (1-5 mM) to inhibit metalloproteases
Perform all steps rapidly to minimize exposure time
Degradation Analysis and Identification:
N-terminal sequencing of degradation fragments
Mass spectrometry to identify cleavage sites
In-gel digestion and peptide mapping
Western blotting with antibodies against different regions
Purification Strategy Modifications:
Incorporate ion exchange chromatography steps to separate degradation products
Use affinity tags at both N- and C-termini to ensure full-length purification
Apply hydrophobic interaction chromatography to separate partially degraded species
Perform preparative SEC as final polishing step
Stability Enhancement:
Identify and modify protease-susceptible sites through mutagenesis
Optimize buffer conditions based on thermal shift assays
Include stabilizing additives (glycerol, arginine, proline)
Store purified protein with reversible protease inhibitors
The effectiveness of these interventions should be quantitatively assessed by monitoring degradation rates using SDS-PAGE and densitometry analysis under various conditions. Systematic implementation of these strategies typically reduces degradation by 80-90% in challenging archaeal proteins.
Protein aggregation is a common challenge when working with concentrated solutions of recombinant proteins. For Uncharacterized protein 268, the following methodological approaches can mitigate aggregation:
Aggregation Detection and Characterization:
Dynamic light scattering (DLS) to monitor particle size distribution
Analytical ultracentrifugation (AUC) to quantify aggregate population
Size exclusion chromatography with multi-angle light scattering (SEC-MALS)
Thioflavin T binding assays to detect amyloid-like aggregates
Buffer Optimization Strategy:
pH screening (0.5 unit increments) around the protein's theoretical pI
Ionic strength titration (50-500 mM NaCl)
Addition of solubilizing agents:
| Agent | Concentration Range | Mechanism |
|---|---|---|
| Arginine | 50-500 mM | Suppresses protein-protein interactions |
| Proline | 50-300 mM | Enhances solubility, prevents aggregation |
| Sucrose | 5-20% | Stabilizes native state through preferential hydration |
| Non-ionic detergents | 0.01-0.05% | Shields hydrophobic surfaces |
Concentration Methodology Modifications:
Implement stepwise concentration with monitoring at each step
Use dialysis-based concentration against high molecular weight PEG
Perform concentration at elevated temperatures (30-40°C)
Add 10% glycerol during concentration process
Structural Engineering Approaches:
Identify and mutate surface-exposed hydrophobic residues
Introduce charged residues at aggregation-prone interfaces
Design stabilizing disulfide bonds based on structural models
Create fusion constructs with highly soluble partners
By implementing these approaches systematically and monitoring aggregation using multiple orthogonal techniques, researchers can typically achieve protein concentrations of 5-10 mg/mL without significant aggregation, enabling structural and functional studies that require concentrated protein solutions .
Characterizing post-translational modifications (PTMs) of archaeal viral proteins requires specialized mass spectrometry approaches:
Sample Preparation Strategies:
Multiple proteolytic digestions (trypsin, chymotrypsin, Glu-C) for comprehensive coverage
Enrichment techniques for specific modifications:
TiO₂ chromatography for phosphopeptides
Hydrazide chemistry for glycopeptides
Antibody-based enrichment for acetylation, methylation
Chemical derivatization to enhance ionization efficiency of modified peptides
MS Instrumentation and Methods:
| MS Approach | Resolution | Sensitivity | Best For |
|---|---|---|---|
| High-resolution LC-MS/MS | ≤5 ppm | femtomole | PTM identification |
| Electron transfer dissociation (ETD) | N/A | Low picomole | Labile modifications |
| Multiple reaction monitoring (MRM) | Unit mass | attomole | PTM quantification |
| Top-down proteomics | ≤3 ppm | High picomole | Intact protein analysis |
Data Analysis Workflow:
Database searches allowing for variable modifications
De novo sequencing for unexpected modifications
Neutral loss scanning for phosphorylation (−98 Da)
Extracted ion chromatograms for modification site localization
Statistical validation using false discovery rate calculation
Comparative Analysis Framework:
Compare PTM profiles across different expression systems
Analyze modification changes under different temperature/pH conditions
Correlate modifications with functional properties
Map modification sites onto structural models
These comprehensive MS approaches can identify archaeal-specific modifications such as methylation, acetylation, and unique glycosylation patterns that may contribute to protein thermostability and function in extreme environments.
Computational prediction of protein function should follow a multi-layered approach integrating various predictive methods:
Sequence-Based Prediction Pipeline:
Conserved domain identification using CDD, SMART, and Pfam
Motif detection using PROSITE and ELM
Remote homology detection using HHpred and HMMER
Functional site prediction (active sites, binding pockets)
Disordered region prediction and functional analysis
Structure-Based Prediction Methods:
Generate 3D models using AlphaFold2 or RoseTTAFold
Structural alignment against PDB using DALI and TM-align
Binding site prediction with CASTp and POCKET
Molecular docking with potential substrates/partners
Molecular dynamics simulations at high temperatures
Integrated Function Prediction:
Gene neighborhood analysis in archaeal viral genomes
Protein-protein interaction network prediction
Gene Ontology term assignment using multiple tools
Enzyme classification using machine learning approaches
Validation and Refinement Framework:
| Prediction Type | Computational Method | Experimental Validation |
|---|---|---|
| Binding site | Cavity detection algorithms | Mutagenesis of predicted sites |
| Catalytic activity | Active site template matching | Activity assays with predicted substrates |
| Structural elements | Secondary structure prediction | CD spectroscopy confirmation |
| Protein-protein interactions | Interface prediction | Y2H or pull-down assays |
The confidence of functional predictions can be quantitatively assessed using scoring schemes that incorporate:
Conservation scores across related viruses
Structural similarity Z-scores
Template modeling scores for structural models
Consensus across multiple prediction methods
This integrated computational approach typically achieves 60-80% accuracy in broad functional assignment and can generate testable hypotheses for experimental validation .
Rigorous biophysical characterization requires appropriate controls and standards:
Essential Controls for Biophysical Experiments:
Negative Controls:
Buffer-only measurements to establish baselines
Heat-denatured protein samples as unfolded references
Non-binding protein variants (if available)
Unrelated proteins of similar size/structure
Positive Controls:
Well-characterized archaeal proteins with known properties
Commercial standards with certified values
Previously characterized domains from related viruses
Engineered constructs with predictable properties
Standard Protocols for Key Biophysical Techniques:
| Technique | Standard/Calibration | Control Measurements | Data Validation |
|---|---|---|---|
| CD Spectroscopy | Camphor-sulfonic acid | Buffer baseline subtraction | Multiple scans, smoothing |
| DSC | Indium or water reference | Buffer-buffer baseline | Multiple heating cycles |
| ITC | Calcium chloride-EDTA standardization | Dilution controls | Replicate injections |
| DLS | NIST-traceable size standards | Filtered buffer control | Multiple acquisitions |
| SAXS | Glucose isomerase standard | Buffer matching | Concentration series |
Quantitative Data Analysis Requirements:
Replicate measurements (minimum n=3)
Statistical analysis of fitted parameters
Error propagation through derived values
Comparison with literature values for similar proteins
Quality Control Metrics:
Sample monodispersity verification before experiments
Concentration determination by multiple methods
Post-experiment sample integrity confirmation
Instrument performance validation with standards
Implementing these controls and standards ensures data reliability and facilitates meaningful comparison with other studies. For archaeal proteins, special consideration should be given to temperature effects on both the protein and the measurement system itself.
The extremophilic origin of this archaeal viral protein suggests several promising biotechnological applications:
Enzyme Technology Applications:
Thermostable biocatalysts for high-temperature industrial processes
Acid-resistant enzymatic activities for food processing or biofuel production
Novel activities for specialized chemical transformations
Detergent additives requiring stability in harsh conditions
Biomaterial Development:
Protein-based scaffolds for high-temperature applications
Self-assembling nanostructures from thermostable domains
Biosensors functional in extreme environments
Thermostable protein coatings for medical devices
Research Tool Development:
| Application | Relevant Property | Potential Advantage |
|---|---|---|
| PCR enhancers | Thermostability | Improved amplification efficiency |
| Crystallization chaperones | Rigid structure | Enhanced crystal formation |
| Protein stabilization tags | Extremophilic adaptations | Increased fusion protein stability |
| Biosensors | Acid/heat resistance | Function in harsh environments |
Pharmaceutical Applications:
Drug delivery systems with enhanced stability
Thermostable vaccine components
Novel antimicrobial strategies targeting archaeal systems
The development pathway for these applications requires:
Full structural and functional characterization
Protein engineering to optimize desired properties
Scale-up production optimization
Application-specific performance testing
Additionally, understanding the fundamental biochemical properties that confer extreme stability could inform the design of synthetic proteins with enhanced resilience to challenging environmental conditions .
Designing experiments to elucidate the protein's role in viral infection requires a multi-faceted approach:
Host-Virus Interaction Studies:
Develop fluorescently labeled protein for localization during infection
Generate antibodies against the protein for immunolocalization
Create gene deletion mutants (if genetic system available)
Perform time-course proteomics during infection cycle
Infection Inhibition Assays:
Pre-incubate host cells with recombinant protein
Test neutralizing antibodies against the protein
Design competitive inhibitors based on structural insights
Perform complementation studies with mutant variants
Host Receptor Identification Protocol:
Protein crosslinking with host surface components
Affinity purification using immobilized protein as bait
Surface plasmon resonance with host membrane fractions
Yeast surface display for receptor identification
Functional Assessment Framework:
| Experimental Approach | Readout | Expected Outcome |
|---|---|---|
| Time-course localization | Confocal microscopy | Subcellular localization during infection |
| Pull-down assays | Mass spectrometry | Host protein interaction partners |
| Viral mutant phenotyping | Plaque morphology, infection kinetics | Functional impact on viral replication |
| Cryo-electron tomography | 3D visualization | Structural role during infection |
These approaches collectively address the challenge of studying viral proteins in archaeal systems where genetic tools may be limited. The integration of structural, biochemical, and cell biological approaches provides complementary evidence for functional roles in the infection process.
Advancing understanding of archaeal virus-host interactions requires integrating multiple disciplines:
Integrated Omics Approaches:
Transcriptomics of host response to purified protein
Proteomics to identify interacting host partners
Metabolomics to detect metabolic changes upon protein expression
Systems biology modeling of virus-host interaction networks
Structural Biology Integration:
Cryo-electron tomography of infected cells
In-cell NMR to study protein behavior in native context
Single-particle tracking in live archaeal cells
Integrative structural modeling incorporating diverse data types
Evolutionary Bioinformatics:
Phylogenetic analysis across archaeal virus families
Evolutionary rate analysis of viral proteins
Host-range correlation with protein sequence variants
Ancestral sequence reconstruction and functional testing
Cross-Domain Collaboration Framework:
| Discipline | Contribution | Integration Point |
|---|---|---|
| Biochemistry | Protein function, interactions | Mechanism of action |
| Structural Biology | 3D structure, dynamics | Structure-function relationship |
| Microbiology | Host response, culture systems | Biological context |
| Bioinformatics | Comparative genomics, evolution | Evolutionary context |
| Synthetic Biology | Engineered systems, reporters | Experimental tools |
This interdisciplinary approach addresses the major challenge in archaeal virology—the limited availability of genetic and molecular tools—by leveraging complementary methodologies from multiple fields. The resulting integrated understanding can reveal fundamental principles of virus-host interactions in extremophilic environments that may have broader implications for understanding viral adaptation mechanisms .