Catalog Number: RFL30030VF
Source: Expressed in Escherichia coli with N-terminal His-tag for purification
Species Origin: Vitis vinifera (Grape)
UniProt ID: A7R385
Synonyms: VvCASPL2B1, CASP-like protein 2B1
CASP-like proteins are implicated in plant membrane organization and nutrient transport. While GSVIVT00013502001’s exact biological role remains uncharacterized, homologs like VvCASPL1C1 (GSVIVT00013434001) and VIT_05s0020g01820 (A7NW78) suggest involvement in:
| Protein ID | UniProt ID | Length (aa) | Key Features |
|---|---|---|---|
| GSVIVT00013502001 | A7R385 | 202 | Full-length, His-tagged |
| GSVIVT00013434001 | A7R333 | 159 | Expressed in E. coli |
| VIT_05s0020g01820 | A7NW78 | 195 | Tris/glycerol storage buffer |
Protein-Protein Interaction Studies: Suitable for yeast two-hybrid, co-IP, or pull-down assays (methodology noted in , though specific interactors are undefined).
Structural Biology: Full-length sequence enables crystallization or cryo-EM trials .
Antibody Production: His-tag allows antibody generation for immunolocalization .
KEGG: vvi:100854015
Vitis vinifera CASP-like protein 2B1 likely follows the canonical CASP structure with four transmembrane domains, cytoplasmic N and C termini, variable N-terminus length, short C-terminus, and a short intracellular loop. The protein would exhibit high conservation in the first (TM1) and third (TM3) transmembrane domains, with an Arginine residue in TM1 and an Aspartic acid in TM3, which are conserved in most CASP-like proteins .
The protein belongs to the broader family of CASP and CASP-like (CASPL) proteins found throughout the plant kingdom. Like other members of this family, it is likely a member of the MARVEL protein family, which shows high similarity in transmembrane domains but not necessarily in extracellular or intracellular exposed regions . Phylogenetic analysis would be required to determine its precise relationship to the CASP1-5 proteins characterized in Arabidopsis that are known to mediate Casparian strip formation.
Methodological approach:
Fusion protein analysis: Generate N-terminal and C-terminal GFP fusion constructs and express in plant cells. Protease protection assays can determine cytoplasmic exposure.
Cysteine scanning mutagenesis: Introduce cysteine residues at various positions and use membrane-impermeable thiol-reactive reagents to determine accessibility.
Split-GFP complementation: Fuse fragments of GFP to different domains and assess fluorescence recovery based on subcellular localization.
Protease susceptibility testing: Express the protein with epitope tags in different domains and assess susceptibility to proteases in membrane preparations.
A robust experimental design would combine these approaches with computational predictions based on hydrophobicity analysis to establish a consensus model of membrane topology.
Experimental approach to determine expression pattern:
RNA isolation from different grapevine tissues followed by quantitative RT-PCR analysis
Generation of promoter-reporter constructs (e.g., promoter:GUS) and transformation into grapevine or heterologous systems
In situ hybridization to visualize mRNA localization in tissue sections
Immunohistochemistry using specific antibodies if available
Researchers should consider both developmental stages and environmental conditions, as some CASP-like proteins show stress-responsive expression patterns, such as cold induction .
Experimental design to address this question:
Generate fluorescent protein fusions (e.g., CASP-like 2B1-GFP) and express in appropriate plant cells
Track protein dynamics using time-lapse confocal microscopy to observe:
Initial targeting to the plasma membrane
Formation of stable membrane domains
Protein turnover rates within these domains
Compare with known CASP proteins:
Lateral diffusion rates using FRAP (Fluorescence Recovery After Photobleaching)
Co-localization with known membrane domain markers
Barrier properties of formed domains using fluorescent tracers
The expected behavior, based on characterized CASPs, would include initial targeting to the whole plasma membrane, followed by localized enrichment and removal from lateral membranes, resulting in an extremely low protein turnover at specific membrane domains .
Comprehensive methodological approach:
Complementation studies: Express Vitis vinifera CASP-like protein 2B1 in Arabidopsis casp mutants under the control of CASP1 promoter and assess rescue of Casparian strip formation using:
Propidium iodide penetration assays to test barrier function
Lignin staining (basic fuchsin or berberine-aniline blue) to visualize Casparian strips
Transmission electron microscopy to examine ultrastructure
Localization analysis: Create fluorescent protein fusions to determine if the protein localizes to the Casparian strip membrane domain (CSD) when expressed in the endodermis
Interaction studies: Test for interactions with known Casparian strip formation machinery components:
Peroxidases that mediate lignin deposition
ESB1 (ENHANCED SUBERIN 1)
Other CASP proteins using co-immunoprecipitation or BiFC (Bimolecular Fluorescence Complementation)
CRISPR/Cas9-mediated mutagenesis in grapevine to assess native function
The approach should consider the possibility of redundancy among CASP family members, as single mutants often show mild or no phenotypes due to functional compensation .
Interestingly, studies with AtCASP1 have shown that extracellular loops are dispensable for localization at the Casparian strip membrane domain (CSD), even though mutations of individual residues in these loops can affect localization to varying degrees .
Experimental approach to test extracellular loop function:
Generate deletion variants lacking either the first extracellular loop (EL1) or second extracellular loop (EL2)
Create point mutations in conserved residues within these loops
Express these variants as fluorescent fusion proteins and assess:
Localization to membrane domains
Temporal dynamics of domain formation
Stability of the protein at the membrane
Ability to interact with cell wall modification machinery
Special attention should be paid to the nine-amino acid signature in EL1 (if present), as this is associated with endodermis-specific function in other CASP proteins .
Evidence from watermelon (Citrullus lanatus) showed that a cold-induced CASP-like protein (ClCASPL) negatively altered growth and temperature stress responses . Its ortholog in Arabidopsis (AtCASPL4C1) was also cold-inducible, and knock-out plants displayed elevated tolerance to cold stress while overexpression of ClCASPL increased cold sensitivity .
Methodological approach to investigate cold stress response:
Expression analysis:
qRT-PCR analysis of Vitis vinifera CASP-like protein 2B1 expression under various cold treatment regimes
Promoter-reporter assays to visualize tissue-specific cold induction patterns
Functional analysis:
Generate transgenic grapevine or Arabidopsis plants with altered expression levels
Assess cold tolerance parameters:
Electrolyte leakage
Chlorophyll fluorescence (Fv/Fm ratio)
ROS accumulation
Cold-responsive gene expression
Physiological measurements:
Membrane integrity under cold stress
Water transpiration rates
Nutrient uptake efficiency
This characterization would help determine if the protein functions as a negative regulator of cold tolerance, similar to ClCASPL .
CASP proteins can play important roles in nutrient homeostasis through their function in forming diffusion barriers in roots. For example, OsCASP1 in rice has been implicated in nutrient homeostasis and adaptation to growth environments .
Research approach:
Nutrient availability experiments:
Grow grapevines under various nutrient regimes (deficiency, sufficiency, excess)
Measure Vitis vinifera CASP-like protein 2B1 expression levels
Correlate with nutrient uptake and distribution parameters
Comparison of root barrier properties:
Using fluorescent tracer dyes to assess apoplastic barriers
Measuring radial transport of nutrients in plants with altered expression
Analysis of suberin and lignin deposition patterns
Data analysis and modeling:
Create a correlation matrix between expression levels and physiological parameters
Develop predictive models for nutrient uptake based on expression patterns
Compare with known data from other CASP proteins
| Nutrient Condition | CASPL Expression | Root Barrier Status | Predicted Physiological Impact |
|---|---|---|---|
| Nitrogen deficiency | ↑ or ↓ | Enhanced or reduced | Altered N uptake efficiency |
| Phosphorus limitation | To be determined | To be determined | Potential adaptation mechanism |
| Salt stress | To be determined | To be determined | Ion exclusion or retention |
Based on known CASP protein interactions, several potential interaction partners might be investigated:
Methodological approach for interaction mapping:
Yeast two-hybrid screening using the cytoplasmic domains as bait against a grapevine cDNA library
Co-immunoprecipitation followed by mass spectrometry to identify interacting proteins in planta
Proximity-dependent labeling using BioID or TurboID fusions to identify proteins in the vicinity
Split-ubiquitin assays specifically designed for membrane protein interactions
Potential interaction partners to investigate include:
Other CASP or CASP-like proteins that might form heteromeric complexes
Lignin biosynthetic enzymes, particularly peroxidases
MYB transcription factors analogous to MYB36 in Arabidopsis, which controls CASP expression
LOTR1 (LORD OF THE RINGS 1), a putative extracellular protease crucial for CSD positioning
Advanced research design approach:
Construct development:
Generate tissue-specific and inducible expression systems
Create chimeric proteins with domains from different CASP-like proteins
Multi-level phenotyping:
Transcriptome analysis at different time points after induction
Metabolomic profiling to identify early vs. late changes
Time-course microscopy to establish sequence of cellular events
Epistasis analysis:
Generate double mutants with genes in potentially related pathways
Use pharmacological inhibitors to block specific cellular processes
Employ cell type-specific CRISPR interference for temporal control
Data integration and modeling:
Develop causal network models
Use Bayesian statistical approaches to assess probability of direct vs. indirect effects
Validate models with targeted interventions
This approach addresses a common challenge in functional genomics where distinguishing primary from secondary effects requires careful experimental design and statistical analysis.
Methodological considerations for recombinant production:
Expression system selection:
Bacterial systems (E. coli): May require fusion partners (MBP, SUMO) to enhance solubility
Yeast systems (Pichia pastoris): Better for membrane protein expression
Insect cell systems: Suitable for complex eukaryotic proteins
Plant expression systems: Cell-free wheat germ or transient expression in Nicotiana benthamiana
Optimization parameters:
Temperature: Lower temperatures (16-20°C) often improve folding
Induction conditions: Concentration and timing of inducer addition
Media composition: Supplements that stabilize membrane proteins
Solubilization strategies: Detergent screening or nanodiscs
Purification approach:
Affinity tags placement (N-terminal vs. C-terminal)
Detergent exchange during purification
On-column refolding if necessary
Quality control methods:
Size-exclusion chromatography to assess oligomeric state
Circular dichroism to confirm secondary structure
Thermal stability assays
For functional studies, maintaining the native transmembrane topology and ensuring proper folding present particular challenges that require careful optimization.
Advanced research problem-solving framework:
Systematic comparison:
Create a detailed table of contradictory findings
Analyze methodological differences that might explain discrepancies
Identify biological contexts that differ between systems
Bridging experiments:
Design intermediate systems (e.g., semi-in vivo assays)
Use reconstitution approaches with increasing complexity
Develop cell-free expression systems with native membranes
Validation strategies:
Independent methodological approaches to test the same hypothesis
Time-resolved studies to capture dynamic processes
Single-molecule techniques to address population heterogeneity
Computational integration:
Develop models that can accommodate seemingly contradictory data
Use machine learning to identify hidden variables
Employ sensitivity analysis to determine critical parameters
This framework enables researchers to reconcile discrepancies that commonly arise between reconstituted systems, heterologous expression, and native functional contexts.