KEGG: pop:POPTR_0011s14360g
Recombinant POPTRDRAFT_834139 protein is typically produced in E. coli expression systems with an N-terminal His tag to facilitate purification. The expression construct contains the full-length protein (amino acids 1-201). After expression, the protein is purified and supplied as a lyophilized powder in a Tris/PBS-based buffer containing 6% trehalose at pH 8.0 .
For reconstitution, researchers should:
Centrifuge the vial briefly before opening
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (optimal: 50%) for long-term storage
Aliquot and store at -20°C/-80°C to avoid repeated freeze-thaw cycles
POPTRDRAFT_834139 belongs to the CASP-like (CASPL) protein family, which is found across all major divisions of land plants as well as in green algae. Phylogenetic analysis indicates that CASPLs are evolutionarily related to the MARVEL protein family found outside the plant kingdom .
The CASPL family likely evolved from ancestral four-transmembrane proteins, with specialization occurring for different functions in plants. The emergence of the Casparian strip in plants correlates with the appearance of CASP-specific signatures in genomes. Plants lacking Casparian strips typically do not contain proteins with these CASP-specific signatures, supporting the evolutionary specialization of these proteins for specific cellular barrier functions .
Based on studies of other CASP-like proteins, POPTRDRAFT_834139 is likely localized to the plasma membrane where it may contribute to the formation of specialized membrane domains. CASPs and CASPLs generally show the propensity to form transmembrane scaffolds that can direct cell wall modifications at specific locations .
While the exact function of POPTRDRAFT_834139 has not been fully characterized, its classification as a CASP-like protein suggests potential involvement in:
Formation of membrane domain scaffolds
Direction of localized cell wall modifications
Potential recruitment of cell wall biosynthesis or modification enzymes
To investigate POPTRDRAFT_834139 interactions with cell wall biosynthesis machinery, researchers should consider a multi-layered approach:
Protein-Protein Interaction Studies:
Yeast two-hybrid screening to identify potential interacting partners
Co-immunoprecipitation followed by mass spectrometry to validate interactions in planta
Bimolecular Fluorescence Complementation (BiFC) to visualize interactions in vivo
Co-expression Network Analysis:
Utilize RNA-seq data such as the P. trichocarpa DOE Joint Genome Institute Plant Gene Atlas to identify genes co-expressed with POPTRDRAFT_834139
Apply a threshold of Spearman correlation coefficient ≥0.85 to identify strongly co-expressed genes
Map POPTRDRAFT_834139 within lignin and cell wall regulatory networks
Genome-Wide Association Studies:
In vitro Reconstitution:
Express and purify POPTRDRAFT_834139 along with candidate interacting proteins
Test direct binding and functional effects on enzyme activities related to cell wall formation
When interpreting results, consider that CASPs can perform two uncoupled activities: forming membrane scaffolds and directing cell wall modifications .
Differentiating between these two functions requires specific experimental designs:
Membrane Scaffold Function Assessment:
Fluorescent protein tagging (e.g., GFP fusion) to visualize domain formation in living cells
Fluorescence Recovery After Photobleaching (FRAP) to measure protein mobility and stability
Lateral diffusion analysis using lipophilic fluorescent markers to test barrier function
Deletion constructs of extracellular loops to test their dispensability for scaffold formation
Cell Wall Modification Function Assessment:
Lignin-specific staining (e.g., using Basic Fuchsin) to visualize cell wall modifications
Co-localization studies with peroxidases that mediate lignin deposition
Yeast two-hybrid or pull-down assays to identify interactions with cell wall modification enzymes
Genetic complementation experiments in casp mutants to assess functional recovery
| Function Comparison | Membrane Scaffold | Cell Wall Modification |
|---|---|---|
| Key Assays | FRAP, lateral diffusion | Lignin staining, enzyme interactions |
| Temporal Sequence | Precedes wall modification | Follows scaffold formation |
| Genetic Requirements | Independent of lignin deposition | Requires scaffold formation |
| Protein Domains | Transmembrane regions critical | May involve extracellular regions |
Research has demonstrated that these functions can be uncoupled, as (1) formation of the CASP domain occurs independently from lignin deposition, and (2) interactions between CASPs and peroxidases can occur outside the Casparian Strip Domain when CASPs are ectopically expressed .
When designing gene expression studies:
Tissue Specificity:
Include multiple tissues, as CASP-like genes may have tissue-specific expression patterns
Pay particular attention to root tissues, especially the endodermis, where classical CASP functions have been characterized
Include vascular tissues where cell wall formation is highly active
Developmental Time Course:
Sample across developmental stages to capture temporal regulation
Focus on stages associated with active cell wall formation and maturation
Technical Considerations:
Use RNA extraction methods optimized for woody plant tissues
Include internal reference genes stable across tissues studied
Consider using RNA-seq for genome-wide expression patterns, allowing integration with:
Data Integration:
This integrated approach can help position POPTRDRAFT_834139 within the broader regulatory network controlling cell wall biosynthesis in Populus trichocarpa.
Post-translational modifications (PTMs) may significantly affect POPTRDRAFT_834139 function. To investigate PTMs:
Identification of PTMs:
Mass spectrometry-based proteomics on purified native protein
Phosphoproteomic analysis to identify phosphorylation sites
Glycoproteomic analysis for glycosylation patterns
Western blotting with modification-specific antibodies
Functional Analysis of PTMs:
Site-directed mutagenesis of putative modification sites
Expression of modified/unmodified protein variants
Comparison of localization, stability, and protein-protein interactions
PTM Dynamics:
Time-course experiments following cellular stimuli
Inhibitor studies targeting specific PTM-related enzymes
Co-expression analysis with genes encoding PTM-related enzymes
Simulation and Prediction:
Molecular dynamics simulations to predict structural changes
Computational prediction of PTM sites and their conservation
Structural modeling of how PTMs affect protein-protein interactions
When analyzing recombinant POPTRDRAFT_834139, researchers should be aware that E. coli-expressed proteins may lack eukaryotic PTMs present in the native Populus environment, potentially affecting function and interactions observed in vitro versus in planta.
When designing experiments to study protein localization:
Expression System Selection:
Homologous expression in Populus system (ideal but technically challenging)
Heterologous expression in model plants (Arabidopsis as alternative)
Transient expression systems (tobacco leaves, protoplasts) for preliminary studies
Fusion Protein Design:
C-terminal vs. N-terminal fluorescent protein tags (consider both as position may affect localization)
Linker sequence optimization to minimize interference with protein function
Controls to verify fusion protein functionality
Microscopy Approaches:
Confocal microscopy for subcellular localization
Super-resolution microscopy for precise membrane domain analysis
Time-lapse imaging to capture dynamic localization patterns
FRAP to assess protein mobility within domains
Co-localization Studies:
With known membrane domain markers
With cell wall biosynthesis machinery
With other CASP family members
Based on findings with other CASP proteins, researchers should pay particular attention to potential transitions from initial broad plasma membrane localization to concentrated domains with high stability and low turnover .
When addressing discrepancies between in vitro and in vivo findings:
Protein Conformation Considerations:
Differences in protein folding between recombinant and native forms
Absence of post-translational modifications in E. coli-expressed proteins
Effects of His-tag or other fusion partners on protein structure/function
Cellular Context Factors:
Absence of native interaction partners in vitro
Different lipid environment affecting membrane protein behavior
Cell-type specific factors influencing protein function
Methodological Reconciliation:
Validate recombinant protein activity using functional assays
Perform complementation tests in mutant backgrounds
Use membrane mimetics for in vitro studies of membrane proteins
Consider native purification from plant material for critical experiments
Data Integration Approach:
A systematic comparison table documenting differences between in vitro and in vivo findings can help identify patterns that explain discrepancies.
When analyzing multi-omics data:
Sample Size and Power:
Ensure sufficient biological replicates (minimum n=3, preferable n≥5)
Perform power analysis to determine sample size needed for detecting effects
Consider nested experimental designs to account for biological variation
Data Integration Methods:
Use network-based Lines of Evidence (LOE) approaches to integrate multiple data types
Apply appropriate normalization methods for each data type
Consider Bayesian integration frameworks for heterogeneous data
Multiple Testing Correction:
Validation Approaches:
Cross-validation strategies for predictive models
Independent experimental validation of key findings
Comparison with published datasets for external validation
For GWAS-based studies involving POPTRDRAFT_834139, researchers should consider both common variant analysis using Linear Mixed Models and rare variant analysis using methods like SKAT as described in the literature .
To ensure experimental reproducibility with recombinant protein:
Protein Quality Assessment:
Storage and Handling:
Functional Verification:
Develop and apply functional assays before key experiments
Include positive controls from previous successful preparations
Verify protein activity before and after experimental timeframes
Documentation and Reporting:
Record complete reconstitution procedures
Document concentration determination methods
Report buffer composition in publications
Include details on protein production batch in methods sections
Network biology approaches offer powerful tools for understanding POPTRDRAFT_834139 function:
Constructing Multi-layered Networks:
Gene co-expression networks using RNA-seq data with Spearman correlation thresholds of 0.85
Gene co-methylation networks using MEDIP-Seq data with correlation thresholds of 0.95
Protein-protein interaction networks from yeast two-hybrid or co-immunoprecipitation data
SNP correlation networks from genome-wide association studies
Network Analysis Methods:
Use "anchor" genes with documented roles in cell wall processes to find network connections
Calculate LOE scores for genes based on connectivity across multiple network layers
Apply network clustering to identify functional modules
Perform gene ontology enrichment on network modules
Validation Strategies:
Cross-reference network predictions with published functional studies
Perform targeted experimental validation of high-scoring network connections
Compare networks across multiple species to identify conserved features
Visualization and Integration:
Use Cytoscape or similar tools for network visualization
Implement interactive visualizations enabling exploration of different data layers
Integrate transcription factor binding site information to identify regulatory relationships
This approach has successfully identified regulatory genes involved in cell wall biosynthesis in Populus trichocarpa, and can be adapted to specifically focus on POPTRDRAFT_834139 and its potential role .
To investigate POPTRDRAFT_834139's potential role in lignin deposition:
Biochemical Interaction Studies:
Localization and Co-localization:
Determine if POPTRDRAFT_834139 co-localizes with sites of lignin deposition
Test if POPTRDRAFT_834139 forms stable membrane domains at these sites
Measure the temporal relationship between POPTRDRAFT_834139 localization and lignin appearance
Genetic Approaches:
Use RNA interference or CRISPR-Cas9 to reduce/eliminate POPTRDRAFT_834139 expression
Analyze lignin content and composition in modified plants
Perform complementation studies in CASP mutant backgrounds
Transcriptomics and Network Analysis:
Analyze co-expression with known lignin biosynthesis genes
Look for common regulatory elements in promoters
Examine if POPTRDRAFT_834139 expression corresponds to developmental stages of lignification
Based on studies of related proteins, research should consider that POPTRDRAFT_834139 may influence lignin deposition by recruiting peroxidases and directing the local polymerization of lignin precursors .
Membrane proteins present unique challenges requiring specialized approaches:
Solubilization and Purification Strategies:
Test multiple detergents (mild non-ionic, zwitterionic, etc.) for optimal solubilization
Consider detergent-free methods using styrene-maleic acid copolymer (SMA)
Use nanodiscs or liposomes to maintain native-like lipid environment
Optimize buffer conditions to maintain protein stability
Structural Studies:
Cryo-electron microscopy for structure determination without crystallization
Solid-state NMR for structural information in membrane-mimetic environments
Hydrogen-deuterium exchange mass spectrometry for conformational dynamics
Computational modeling based on homology to other MARVEL family proteins
Functional Reconstitution:
Liposome reconstitution to test membrane domain formation
Giant unilamellar vesicles (GUVs) for visualizing domain dynamics
Planar lipid bilayers for electrophysiological measurements if relevant
Co-reconstitution with interaction partners to test functional complexes
Alternative Expression Systems:
Insect cell expression for eukaryotic post-translational modifications
Cell-free expression systems with supplied membranes or nanodiscs
Yeast expression systems optimized for membrane proteins
Mammalian cell expression for complex eukaryotic processing
These approaches can help overcome the intrinsic difficulties of working with four-transmembrane span proteins like POPTRDRAFT_834139 while maintaining their native structure and function.
The study of POPTRDRAFT_834139 can advance understanding of plant membrane domains by:
Comparative Analysis with Known Systems:
Compare CASP-like protein membrane domain formation with other plant membrane domains
Identify common principles and unique features of different domain types
Establish whether POPTRDRAFT_834139 forms domains with characteristics similar to lipid rafts, tetraspanin-enriched microdomains, or other structures
Membrane Domain Formation Mechanisms:
Investigate if POPTRDRAFT_834139 domains form through protein-protein interactions
Assess the role of lipid composition in domain formation and stability
Determine if cytoskeletal elements contribute to domain maintenance
Functional Consequences of Domain Formation:
Examine how POPTRDRAFT_834139 domains affect membrane protein diffusion
Test if domains create specialized signaling platforms
Investigate if domains participate in vesicle trafficking or endocytosis
Evolutionary Perspective:
Compare POPTRDRAFT_834139 domain formation with MARVEL family proteins in other organisms
Trace the evolution of membrane domain organization across plant lineages
Identify when specialized functions like Casparian strip formation emerged
Understanding POPTRDRAFT_834139 function could reveal generalizable principles about how plants organize their plasma membranes into specialized domains for specific cellular functions .
Current research gaps and potential approaches include:
Lack of Direct Functional Characterization:
Generate knockout/knockdown lines in Populus trichocarpa using CRISPR-Cas9
Perform detailed phenotypic analysis of these lines, focusing on cell wall composition
Create overexpression lines to identify gain-of-function phenotypes
Limited Knowledge of Interacting Partners:
Perform comprehensive protein-protein interaction screens
Identify genetic interactions through suppressor/enhancer screens
Use proximity labeling approaches (BioID, APEX) to identify proteins in the vicinity
Uncertain Subcellular Dynamics:
Employ live-cell imaging with photo-switchable fluorescent proteins
Track protein movement using single-particle tracking
Determine half-life and turnover rates in different cellular contexts
Unknown Regulation Mechanisms:
Analyze the promoter region for transcription factor binding sites
Investigate post-translational regulation through proteomics
Examine epigenetic regulation through chromatin immunoprecipitation
Addressing these gaps will require interdisciplinary approaches combining molecular biology, biochemistry, genetics, and advanced imaging technologies.
POPTRDRAFT_834139 research could impact lignin engineering through:
Targeted Lignin Deposition:
If POPTRDRAFT_834139 directs lignin deposition spatially, it could be engineered to modify lignin distribution
This could potentially create plants with lignin concentrated in tissues where it's beneficial and reduced where it impedes processing
Understanding the mechanism could lead to precision engineering of cell wall architecture
Regulatory Network Manipulation:
Protein Engineering Applications:
Structure-function analysis could reveal domains crucial for lignin-related activities
These domains could be modified to create variants with enhanced or altered functions
Domain swapping between CASP family members might create chimeric proteins with novel properties
Biotechnological Tools:
POPTRDRAFT_834139-based tools could potentially direct enzyme activities to specific cell wall regions
This could enable precise modification of cell wall properties in specific tissues
Understanding interaction mechanisms could lead to development of inhibitors or activators for controlled lignification
These applications align with broader goals in Populus research for developing improved bioenergy feedstocks with optimized cell wall properties .