Polyclonal antibodies against CCoAOMT have been generated using purified recombinant proteins. For example, loblolly pine xylem studies employed anti-AEOMT polyclonal antibodies produced by immunizing rabbits with yeast-expressed AEOMT–His⋅Tag fusion proteins . These antibodies demonstrated high specificity in Western blot analyses, recognizing a single 42 kDa protein band corresponding to native AEOMT in plant extracts .
Key validation steps included:
Immunoblot specificity: Antibodies showed no cross-reactivity with unrelated plant proteins .
Activity inhibition assays: Pre-incubation with antibodies reduced CCoAOMT enzymatic activity by 30-70% depending on substrate type (Table 1) .
Substrate-specific effects: Greater inhibition occurred with hydroxycinnamoyl CoA esters (e.g., caffeoyl-CoA) than hydroxycinnamic acids, suggesting antibody binding interferes with CoA ester binding domains .
CCoAOMT antibodies have been instrumental in:
Antisense suppression studies: Poplar plants with antisense CCoAOMT constructs showed 70% reduction in CCoAOMT protein levels via Western blot, correlating with 40% decreased lignin content .
Enzyme specificity confirmation: Antibodies selectively detected CCoAOMT without cross-reacting with caffeic acid O-methyltransferase (COMT), confirming pathway-specific roles .
Tissue-specific expression: Antibody staining localized CCoAOMT primarily to xylem cells in pine stems and Zinnia tracheary elements .
Developmental regulation: Protein levels increased 8-fold during secondary cell wall formation in poplar, as quantified by immunoblot band intensity .
Dual substrate specificity: Antibody inhibition profiles revealed distinct active sites for CoA esters vs. free acids in loblolly pine AEOMT .
Gene family divergence: Failed cross-reactivity with pine CCoAOMT homologs using Stellaria probes suggested >30% sequence divergence among plant CCoAOMTs .
Pathway redundancy: Normal COMT levels in CCoAOMT-suppressed poplar (ACoA8 line) indicated independent methylation routes .
Buffer optimization: Tris-HCl (pH 7.5) with 0.1% Tween-20 preserves antigen-antibody binding in plant extracts .
Interference mitigation: Pre-adsorption with recombinant protein eliminated non-specific signals in xylem extracts .
Quantitative limits: Detection threshold is 0.5 ng/μL CCoAOMT via chemiluminescent Western blot .
KEGG: sot:102586657
UniGene: Stu.11334
CCoAOMT (caffeoyl CoA O-methyltransferase) is a critical enzyme in the lignin biosynthesis pathway that catalyzes the methylation of caffeoyl CoA to feruloyl CoA. This enzyme plays essential roles in phenylpropanoid metabolism and participates in the synthesis of various secondary metabolites, including lignin components and anthocyanins .
CCoAOMT antibodies are vital research tools because they allow for:
Detection and quantification of CCoAOMT protein expression across different tissues
Monitoring changes in CCoAOMT levels during plant development
Investigating CCoAOMT's role in plant defense responses through immunoblotting
Conducting protein-protein interaction studies via co-immunoprecipitation assays
Analyzing subcellular localization through immunohistochemistry techniques
These antibodies enable researchers to study the complex roles of CCoAOMT in plant metabolism, stress responses, and development .
The generation of polyclonal CCoAOMT antibodies typically follows this methodological approach:
Recombinant protein expression: The CCoAOMT gene is cloned into an expression vector (typically pGEX-KG) and expressed in E. coli cells to produce a recombinant CCoAOMT protein .
Protein purification: The recombinant protein is purified using chromatography on an agarose-glutathione matrix, which allows for isolation of the target protein with high purity .
Immunization protocol: The purified CCoAOMT protein (approximately 50-100 μg) is emulsified with adjuvant (Freund's complete adjuvant for initial injection, incomplete adjuvant for booster injections) and administered through multiple intramuscular injections at 5-week intervals .
Serum collection: Serum is collected approximately 10 days after each boost immunization. After clot removal, the serum is clarified by centrifugation and stored in small aliquots at -20°C .
Antibody validation: The specificity of the antibodies is verified through immunoblotting against both recombinant CCoAOMT proteins and native plant extracts to confirm cross-reactivity with various CCoAOMT isoforms .
For example, antibodies raised against CCoAOMT-1 recombinant protein have been shown to effectively recognize CCoAOMT proteins from multiple classes with similar efficiencies .
CCoAOMT enzymes are classified into distinct groups based on their sequence homology and evolutionary relationships:
| CCoAOMT Classification | Characteristics | Antibody Recognition |
|---|---|---|
| Class 1 CCoAOMTs | First characterized group, includes CCoAOMT-1, CCoAOMT-2, CCoAOMT-3, and CCoAOMT-4 | Strongly recognized by antibodies raised against CCoAOMT-1 |
| Class 2 CCoAOMTs | Includes CCoAOMT-5, distinct expression patterns from Class 1 | Recognized by CCoAOMT-1 antibodies with similar efficiency |
| Class 3 CCoAOMTs | Less characterized, shows differential expression compared to Class 1 and 2 | Also detected by CCoAOMT-1 antibodies |
| Plant-specific groups | In S. tuberosum, 12 StCCoAOMT members are classified into Groups I and II | Recognition depends on conservation of epitopes |
Antibodies raised against CCoAOMT-1 recombinant protein can efficiently detect CCoAOMT proteins from all three classes with similar efficiencies. This cross-reactivity is due to the conservation of key epitopes across CCoAOMT classes, making these antibodies valuable tools for studying multiple CCoAOMT isoforms simultaneously .
In immunoblotting applications, CCoAOMT isoforms typically appear as 27-kD and 32-kD immunoreactive bands, allowing researchers to distinguish between different isoforms based on their molecular weights .
CCoAOMT antibodies serve as powerful tools for investigating protein-protein interactions in plant defense mechanisms through several advanced methodological approaches:
Co-immunoprecipitation (Co-IP) assays: CCoAOMT antibodies can be used to capture CCoAOMT proteins along with their interacting partners. This technique has revealed that CCoAOMT2 physically associates with both NLR (nucleotide-binding leucine-rich repeat) proteins like Rp1-dp2 and other enzymes in the lignin biosynthesis pathway such as HCT1806 and HCT4918 .
Validation of interaction specificity: Through carefully controlled Co-IP experiments, researchers have demonstrated differential interaction specificities among CCoAOMT isoforms. For example, CCoAOMT2 shows strong interaction with Rp1-dp2, while CCoAOMT1 exhibits little to no interaction with the same protein .
Complex formation analysis: CCoAOMT antibodies have helped establish that CCoAOMT2, HCTs, and Rp1 proteins can form multiprotein complexes in planta, suggesting coordinated roles in defense regulation .
Domain-specific interaction studies: By using antibodies in combination with protein variants expressing specific domains (such as the coiled-coil domain of Rp1-D21), researchers have identified which regions of proteins are critical for the interaction with CCoAOMT .
This approach has provided significant insights into how CCoAOMT enzymes can modulate plant immune responses through protein-protein interactions that are independent of their enzymatic activity, suggesting additional regulatory roles beyond their metabolic functions .
When analyzing CCoAOMT protein expression during pathogen-induced hypersensitive response (HR), researchers should implement the following comprehensive methodology:
Time-course sampling: Collect plant tissue samples at multiple time points before and after pathogen inoculation (e.g., 0, 24, 48, 72, and 96 hours post-inoculation) to capture the dynamic changes in CCoAOMT expression .
Protein extraction optimization: Use optimized extraction buffers containing protease inhibitors to ensure preservation of CCoAOMT proteins, particularly when working with tissues undergoing HR which may have elevated protease activity .
Quantitative immunoblotting:
Parallel enzyme activity assays: Complement immunoblotting data with CCoAOMT enzyme activity measurements using appropriate substrates (preferably CoA esters) to correlate protein abundance with functional activity .
Comparative analysis with other defense-related proteins: Analyze CCoAOMT expression alongside other defense-related enzymes like COMTs (caffeic acid O-methyltransferases) to establish temporal relationships in the defense response network .
RNA expression correlation: Perform RT-PCR or qRT-PCR analysis of CCoAOMT transcript levels to determine whether protein accumulation correlates with gene expression, helping to distinguish between transcriptional and post-transcriptional regulation .
This methodology has revealed that CCoAOMT accumulation follows a pattern similar to COMT I and II during HR, with significant induction occurring around 48 hours after inoculation, coinciding with the appearance of necrotic lesions in tobacco leaves infected with TMV .
Optimizing CCoAOMT antibodies for cross-species immunodetection requires a strategic approach to maximize detection efficiency while maintaining specificity:
Epitope selection for antibody generation:
Target highly conserved regions of CCoAOMT proteins based on multi-species sequence alignments
Avoid regions with high sequence variability between species
Select epitopes that maintain structural integrity across phylogenetic distances
Validation across multiple species:
Optimizing immunoblotting conditions:
Adjust blocking reagents to minimize background in different plant extracts
Optimize primary antibody concentration for each plant species
Determine optimal incubation times and temperatures for different plant materials
Consider using enhanced chemiluminescence or fluorescent detection systems for improved sensitivity
Addressing species-specific challenges:
For species with lower antibody affinity, increase protein loading or antibody concentration
For species with high background, incorporate additional washing steps or alternative blocking agents
Consider using protein A/G conjugated secondary antibodies for improved binding across species
Existing evidence shows that antibodies raised against tobacco CCoAOMT-1 can effectively detect CCoAOMT proteins from different classes within the same species . This suggests that targeting conserved epitopes can yield antibodies with broad detection capabilities across CCoAOMT isoforms and potentially across related plant species.
When using CCoAOMT antibodies for immunoprecipitation (IP) experiments, researchers frequently encounter several technical challenges that require methodological solutions:
Low abundance of native CCoAOMT:
Challenge: Native CCoAOMT proteins may be expressed at low levels in certain tissues or under certain conditions.
Solution: Scale up starting material, use tissues with known high expression (such as stems for lignification studies or pathogen-induced tissues where CCoAOMT is upregulated) .
Validation approach: Include positive controls with known expression patterns.
Transient or weak protein-protein interactions:
Challenge: Interactions between CCoAOMT and partner proteins (like Rp1 proteins) may be transient or condition-dependent.
Solution: Use chemical crosslinking agents before cell lysis to stabilize protein complexes; optimize buffer conditions to preserve interactions .
Example: Co-IP experiments have successfully demonstrated that CCoAOMT2 interacts with Rp1-dp2, while CCoAOMT1 does not show detectable interaction .
Specificity issues between CCoAOMT isoforms:
Challenge: Antibodies may recognize multiple CCoAOMT isoforms with different affinities.
Solution: Pre-clear lysates with control antibodies; use peptide competition assays to confirm specificity; complement IP results with alternative interaction methods .
Data validation: Always include controls for non-specific binding.
Buffer compatibility issues:
Challenge: Different extraction buffers may affect CCoAOMT solubility and interaction stability.
Solution: Test multiple lysis buffers with varying detergent types and concentrations; include appropriate protease inhibitors to prevent degradation during IP procedures.
Quantification challenges:
Successful Co-IP experiments have been performed by coexpressing tagged versions of proteins (e.g., HA-tagged Rp1 proteins and EGFP-tagged CCoAOMT) in heterologous systems like Nicotiana benthamiana, demonstrating the feasibility of studying CCoAOMT interactions despite these challenges .
Distinguishing between CCoAOMT isoforms presents a significant challenge due to their high sequence similarity. Researchers can employ these methodological approaches:
Isoform-specific antibody development:
Target unique epitopes in non-conserved regions of different CCoAOMT isoforms
Develop antibodies against synthetic peptides corresponding to variable regions
Validate specificity against recombinant proteins of each isoform
Two-dimensional gel electrophoresis coupled with immunoblotting:
Separate proteins based on both isoelectric point and molecular weight
Perform immunoblotting with general CCoAOMT antibodies
Identify isoform-specific spots based on their unique migration patterns
This approach can separate CCoAOMT isoforms that have similar molecular weights but different pI values
Sequential immunoprecipitation:
Perform initial immunoprecipitation with pan-CCoAOMT antibodies
Subject the precipitate to isoform-specific antibodies or analyze by mass spectrometry
Quantify relative abundances of different isoforms
Differential interaction patterns:
Exploit known differences in protein-protein interactions between isoforms
For example, CCoAOMT2 strongly interacts with Rp1-dp2 and HCT proteins, while CCoAOMT1 shows weak or no interaction
Use co-immunoprecipitation followed by specific antibody detection to identify isoforms based on their binding partners
Correlation with transcript analysis:
Research has shown that different CCoAOMT isoforms can exhibit distinct molecular weights (e.g., 27-kD and 32-kD bands) on immunoblots, which can be used as an initial distinguishing characteristic . Additionally, differences in expression patterns during development and stress responses can provide contextual information to aid in isoform identification .
Analyzing CCoAOMT protein subcellular localization using antibodies requires a multi-faceted methodological approach to ensure accurate results:
Immunofluorescence microscopy protocol optimization:
Tissue fixation: Use 4% paraformaldehyde for protein cross-linking while preserving cellular architecture
Permeabilization: Optimize detergent concentration (0.1-0.5% Triton X-100) to allow antibody access while maintaining cellular structures
Blocking: Use 2-5% bovine serum albumin or normal serum to reduce non-specific binding
Primary antibody incubation: Determine optimal concentration through titration experiments
Secondary antibody selection: Use fluorophore-conjugated antibodies compatible with available microscopy equipment
Controls: Include secondary-only controls and pre-immune serum controls to verify specificity
Subcellular fractionation combined with immunoblotting:
Isolate distinct cellular compartments (cytosol, nucleus, mitochondria, chloroplasts, etc.) using differential centrifugation
Verify fraction purity using compartment-specific marker proteins
Perform immunoblotting of each fraction with CCoAOMT antibodies
Quantify relative distribution across cellular compartments
Immuno-electron microscopy for high-resolution localization:
Process tissues for transmission electron microscopy
Perform immunogold labeling using CCoAOMT antibodies
Analyze gold particle distribution quantitatively across cellular compartments
This approach provides nanometer-scale resolution of protein localization
Comparative analysis with fluorescent protein fusions:
Complement antibody-based localization with expressed fluorescent protein-tagged CCoAOMT
Compare localization patterns between both approaches
Use this dual approach to validate findings and rule out artifacts
Dynamic localization studies:
Analyze potential changes in CCoAOMT localization during development or stress responses
Sample tissues at multiple time points after treatment
Quantify changes in compartmental distribution
Research on StCCoAOMT10 in Solanum tuberosum has demonstrated that this protein is primarily localized to the cytoplasm and nucleus . This finding illustrates the importance of comprehensive localization studies, as the subcellular distribution may provide insights into the diverse functions of CCoAOMT beyond its canonical enzymatic role in the cytoplasm.
CCoAOMT proteins play multifaceted roles in plant defense responses that extend beyond their conventional metabolic functions. CCoAOMT antibodies provide critical tools for elucidating these mechanisms:
Induction during pathogen response:
CCoAOMT protein levels increase significantly following pathogen infection or during hypersensitive response (HR)
Immunoblotting with CCoAOMT antibodies has demonstrated that enzyme accumulation patterns mirror those of other defense-related enzymes like COMT I and II
Protein accumulation is particularly pronounced around 48 hours post-infection, coinciding with the appearance of necrotic lesions
Protein complex formation in immune regulation:
CCoAOMT2 physically interacts with nucleotide-binding leucine-rich repeat (NLR) immune receptors like Rp1-D21
Co-immunoprecipitation using CCoAOMT antibodies has revealed that CCoAOMT2 can suppress Rp1-D21-induced HR
This suppression occurs through direct protein-protein interaction rather than through CCoAOMT's enzymatic activity
Multi-protein defense complexes:
Allelic variation affecting defense function:
Research methodology applications:
Monitor CCoAOMT induction kinetics during infection using quantitative immunoblotting
Track protein-protein interactions via co-immunoprecipitation with CCoAOMT antibodies
Localize CCoAOMT during defense responses using immunohistochemistry
Compare CCoAOMT isoform contributions to defense through differential detection
The research demonstrates that CCoAOMT proteins function at the intersection of metabolism and immunity, with CCoAOMT2 specifically acting as a negative regulator of the hypersensitive response through its physical interaction with NLR immune receptors . This represents a novel mechanism linking lignin biosynthesis enzymes with immune regulation in plants.
When investigating the seemingly contradictory roles of CCoAOMT in both primary metabolism (lignin biosynthesis) and defense responses, researchers should employ these methodological approaches to resolve discrepancies:
Separation of enzymatic activity from protein interaction effects:
Generate and express catalytically inactive CCoAOMT mutants while preserving protein structure
Test both wild-type and mutant proteins for their ability to suppress HR
Measure enzymatic activity in parallel with defense phenotypes
This approach has revealed that CCoAOMT2's role in suppressing HR is likely independent of its metabolic activity
Domain-specific interaction studies:
Create truncated or chimeric CCoAOMT proteins to identify domains responsible for defense functions
Use co-immunoprecipitation with specific antibodies to assess how these modifications affect protein interactions
Compare interaction patterns across CCoAOMT isoforms that differ in their defense functions
For example, studies have shown that CCoAOMT2 interacts with the coiled-coil domain of Rp1-D21, while CCoAOMT1 does not
Temporal and spatial resolution of activities:
Employ tissue-specific and inducible expression systems
Monitor both enzymatic activity and defense phenotypes across different tissues and timepoints
Use immunolocalization to determine whether CCoAOMT relocates during defense responses
Correlate CCoAOMT subcellular localization with different functions
Comparative analysis across alleles with differential effects:
Systems biology approach to resolve contextual functions:
Use antibodies to track CCoAOMT in different protein complexes
Perform immunoprecipitation followed by mass spectrometry to identify all interaction partners
Create interaction network maps to visualize context-dependent functions
Compare these networks between metabolic and defense contexts
This integrated approach has helped researchers develop a model where CCoAOMT2 can participate both in lignin biosynthesis through its enzymatic activity and in defense regulation through protein-protein interactions with immunity complexes, demonstrating how a single protein can serve distinct functions depending on cellular context .
CCoAOMT antibodies provide powerful tools for investigating the complex relationship between lignin biosynthesis and plant immunity through these advanced methodological approaches:
Dual pathway monitoring during defense responses:
Track changes in both lignin biosynthesis enzymes and immune components simultaneously
Use CCoAOMT antibodies alongside antibodies against NLR proteins (like Rp1) and defense signaling components
Quantify protein abundance changes in both pathways during infection timecourses
This approach has revealed that CCoAOMT2 can physically associate with both HCT enzymes (involved in lignin biosynthesis) and Rp1 proteins (immune receptors)
Protein complex composition analysis:
Perform sequential immunoprecipitations targeting different components
Use CCoAOMT antibodies for initial pulldown, followed by detection of associated proteins
Alternatively, use NLR protein antibodies for pulldown and detect associated CCoAOMT
Characterize the composition and stoichiometry of these multi-protein complexes
Research has demonstrated that CCoAOMT2, HCTs, and Rp1 proteins can form complexes in planta
Subcellular localization studies during defense activation:
Track potential relocalization of CCoAOMT during immune activation
Use immunofluorescence microscopy at different timepoints after pathogen challenge
Determine whether CCoAOMT co-localizes with defense signaling components during infection
Compare localization patterns between CCoAOMT isoforms with different defense functions
Genetic manipulation validation:
Generate plants with altered CCoAOMT levels or mutated CCoAOMT proteins
Use antibodies to confirm protein expression or absence in these lines
Correlate CCoAOMT protein levels with both lignin content and defense phenotypes
This approach can distinguish between effects due to protein abundance versus protein activity
Differential phosphorylation and post-translational modification analysis:
Use phospho-specific antibodies or general CCoAOMT antibodies followed by phosphorylation detection
Compare modification patterns between metabolic and defense contexts
Identify potential regulatory modifications that switch CCoAOMT between its dual functions
These approaches have contributed to a model where lignin biosynthesis enzymes like CCoAOMT2 serve dual roles: their canonical function in phenylpropanoid metabolism and an unexpected role in modulating defense responses through direct interaction with immune components . This research highlights the intricate relationship between primary metabolism and immunity in plants, suggesting that metabolic enzymes can serve as regulators of defense responses.
Several cutting-edge techniques are poised to significantly enhance the utility of CCoAOMT antibodies in plant research:
Proximity labeling coupled with immunoprecipitation:
Fuse CCoAOMT with proximity labeling enzymes (BioID, TurboID, or APEX2)
Allow in vivo biotinylation of proteins in close proximity to CCoAOMT
Use CCoAOMT antibodies to immunoprecipitate the protein complex
Identify biotinylated proteins through mass spectrometry
This approach would provide a comprehensive view of the CCoAOMT interactome under various conditions
Single-cell proteomics with CCoAOMT immunodetection:
Apply antibody-based detection methods at single-cell resolution
Combine with single-cell transcriptomics to correlate protein and mRNA levels
Map CCoAOMT distribution across different cell types in plant tissues
This would reveal cell-type-specific roles of CCoAOMT that may be masked in whole-tissue analyses
Super-resolution microscopy for precise localization:
Apply techniques like STORM or PALM using fluorophore-conjugated CCoAOMT antibodies
Achieve nanometer-scale resolution of CCoAOMT localization
Visualize dynamic protein complex formation during defense responses
Combine with other labeled proteins to observe direct interactions in situ
In planta protein dynamics using antibody-based biosensors:
Develop FRET-based biosensors incorporating CCoAOMT antibody fragments
Monitor real-time changes in CCoAOMT conformation or interactions
Track protein dynamics during pathogen infection or environmental stresses
This would provide temporal resolution currently missing from static analyses
CCoAOMT complex cryo-EM structural studies:
Use antibodies to purify native CCoAOMT-containing complexes
Apply cryo-electron microscopy to determine complex structures
Resolve the structural basis for CCoAOMT's dual functions in metabolism and immunity
This approach could reveal how CCoAOMT2 physically interacts with both HCT enzymes and NLR proteins
These emerging techniques would address current knowledge gaps regarding the spatiotemporal dynamics of CCoAOMT function, the structural basis of its protein-protein interactions, and its cell-type-specific roles in both metabolism and immunity, potentially revealing new therapeutic targets for enhancing plant disease resistance.
Research on CCoAOMT using antibody-based approaches can significantly expand our understanding of plant defense evolution through these methodological investigations:
Comparative immunological analysis across plant lineages:
Apply CCoAOMT antibodies to detect homologous proteins across evolutionary diverse plant species
Compare protein abundance, localization, and complex formation patterns
Determine when the dual roles of CCoAOMT in metabolism and immunity emerged
This approach could reveal whether the defense function of CCoAOMT is ancestral or derived
Structural and functional analysis of CCoAOMT variants:
Compare CCoAOMT variants across plant species using antibody-based detection
Correlate structural differences with functional divergence in immunity roles
Research has already identified critical sequence regions (like "Patch 1" near the N-terminus) that differ between CCoAOMT alleles with varying effects on immunity
Phylogenetic analysis has shown that monocot CCoAOMTs form a distinct clade
Co-evolutionary studies with pathogen effectors:
Use antibodies to investigate whether pathogens directly target CCoAOMT
Perform co-immunoprecipitation between CCoAOMT and known pathogen effectors
Determine if pathogen pressure has driven CCoAOMT evolution
This could reveal whether CCoAOMT is a direct target of pathogen manipulation
Allelic diversity characterization across populations:
Apply antibodies to detect variant-specific CCoAOMT proteins
Quantify expression levels of different alleles in diverse germplasm
Correlate allelic variants with disease resistance phenotypes
Studies have already identified variable suppressive effects of different CCoAOMT2 alleles on hypersensitive response
Multi-level analysis of defense network evolution:
Use CCoAOMT antibodies alongside antibodies against other defense components
Compare defense complex composition across evolutionary diverse plant species
Trace the evolutionary history of the interconnection between phenylpropanoid metabolism and immunity
This research could reveal how plants have repurposed metabolic enzymes for defense functions throughout evolutionary history. The discovery that CCoAOMT2 physically interacts with NLR immune receptors represents a novel connection between primary metabolism and immunity , suggesting that such dual-function proteins might be more common in plant defense systems than previously recognized. Understanding this evolutionary process could provide new strategies for engineering disease resistance in crops.