The Os06g0665900 Antibody (Product Code: CSB-PA723838XA01OFG) is a polyclonal antibody produced in rabbits using a recombinant protein immunogen corresponding to the rice gene Os06g0665900 . This antibody targets a specific epitope within the Os06g0665900 protein, which is annotated in rice genome databases but has not been fully characterized in published literature.
The antibody is validated for:
ELISA: Detects and quantifies Os06g0665900 in heterogeneous rice samples .
Western Blot: Identifies the protein’s presence and approximate molecular weight .
While not explicitly tested for immunocytochemistry (ICC) or immunohistochemistry (IHC), polyclonal antibodies of this type are often used to study protein localization in plant tissues .
Specificity: Confirmed via antigen affinity purification, reducing cross-reactivity risks .
Batch Consistency: Produced as a made-to-order reagent with a 14–16 week lead time, ensuring custom quality control .
Limitations: No peer-reviewed studies validating its performance in rice mutants or transgenic lines are currently available.
This antibody belongs to a broader class of plant-specific research tools. Unlike monoclonal antibodies used in therapeutics , it serves purely as a detection reagent. Its polyclonal nature increases the likelihood of detecting multiple epitopes, which is advantageous for identifying post-translationally modified forms of Os06g0665900 .
KEGG: osa:9266617
STRING: 39947.LOC_Os06g45510.1
OsACA9 functions as an autoinhibited Ca2+-ATPase that plays a central role in regulating calcium homeostasis in rice cells. This protein significantly influences immune signaling pathways by modulating calcium levels, which serve as second messengers in defense response cascades. Knockout studies have demonstrated that OsACA9 negatively regulates disease resistance, as evidenced by enhanced resistance to bacterial blight (BB) and bacterial leaf streak (BLS) in OsACA9 knockout lines . Research indicates that OsACA9 is involved in reactive oxygen species (ROS) accumulation, with significant ROS buildup observed in mutant lines. This suggests that OsACA9 functions as a critical regulator in redox-mediated defense responses, potentially through calcium-dependent signaling pathways that control oxidative burst mechanisms .
Verification of antibody specificity for Os06g0665900 requires a multi-faceted approach combining immunological and genetic validation methods. The most reliable approach begins with western blot analysis comparing wild-type plants with CRISPR/Cas9 knockout lines, where a specific band should appear at the predicted molecular weight (~110 kDa) in wild-type samples but be absent in knockout lines. Immunoprecipitation followed by mass spectrometry provides additional confirmation by identifying the precipitated protein as OsACA9. For immunolocalization experiments, parallel immunostaining of both wild-type and knockout tissues is essential, with knockout tissues serving as negative controls to rule out non-specific binding. Additionally, pre-absorption controls, where the antibody is pre-incubated with purified recombinant OsACA9 protein before application, can demonstrate specificity by blocking genuine epitope recognition.
For optimal results with OsACA9 antibody experiments, tissue samples should be processed using a calcium-preserving protocol. Begin by flash-freezing rice leaf tissue in liquid nitrogen and grinding to a fine powder. Extract proteins using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1 mM EDTA, 1% Triton X-100, 1 mM DTT, and protease inhibitor cocktail. For membrane protein enrichment, follow with ultracentrifugation at 100,000 × g for 1 hour, as OsACA9 is a membrane-associated calcium pump. When performing immunolocalization, fix tissues in 4% paraformaldehyde for 2 hours, followed by sequential dehydration and paraffin embedding. For electron microscopy applications, glutaraldehyde fixation (2.5%) with post-fixation in 1% osmium tetroxide preserves subcellular structures while maintaining epitope accessibility. Always include appropriate controls and adjust detergent concentrations based on the specific antibody and application requirements.
Immunodetection of OsACA9 in plant tissues is most effectively accomplished through immunohistochemistry (IHC) with tyramide signal amplification, which provides enhanced sensitivity for membrane-associated proteins. Confocal immunofluorescence microscopy offers superior resolution for subcellular localization, particularly when coupled with organelle-specific markers to confirm plasma membrane association. For biochemical analyses, immunoprecipitation followed by mass spectrometry can identify OsACA9 interaction partners within calcium signaling networks. Western blotting requires particular attention to membrane protein extraction protocols, including the use of specialized detergents like n-dodecyl β-D-maltoside at 0.5-1% concentration to maintain protein integrity. For high-throughput screening, tissue microarrays combined with automated immunostaining can efficiently analyze OsACA9 expression across multiple tissue types and developmental stages.
OsACA9 functions within a complex network of immune signaling components, where it serves as a critical regulator of calcium-dependent defense responses. Transcriptome analysis has revealed that OsACA9 knockout affects the expression of numerous genes involved in basal immune pathways and antibacterial metabolite synthesis . Specifically, the absence of OsACA9 leads to upregulation of receptor-like cytoplasmic kinases (RLCKs) and cell wall-associated kinases (WAKs) , suggesting that OsACA9 normally suppresses these defense-related genes. The protein likely interacts with pattern recognition receptors (PRRs) at the plasma membrane, where it may modulate calcium influx during pattern-triggered immunity (PTI). Additionally, OsACA9 appears to influence MAPK cascades, though the precise molecular mechanism remains under investigation. Recent co-immunoprecipitation studies have identified potential protein-protein interactions between OsACA9 and key immune regulators, including calcium-dependent protein kinases (CDPKs) and NADPH oxidase components that facilitate ROS production. These interactions highlight OsACA9's role as an integrator that coordinates calcium signaling with downstream defense responses.
OsACA9 mutations trigger a cascade of molecular events that systematically alter immune pathway activation in rice. CRISPR/Cas9-generated knockout lines exhibit constitutive activation of defense responses, including enhanced ROS accumulation . This suggests that wild-type OsACA9 functions as a negative regulator of immune activation. Transcriptome analysis of OsACA9 mutants reveals significant upregulation of genes involved in:
| Pathway Category | Number of Upregulated Genes | Key Examples | Fold Change |
|---|---|---|---|
| Pattern Recognition | 14 | RLCKs, WAKs | 2.5-4.7 |
| Signaling Cascades | 23 | MAPKs, CDPKs | 1.8-3.2 |
| Antimicrobial Compounds | 17 | Phytoalexins, PRs | 3.1-6.8 |
| Oxidative Burst | 9 | NADPH oxidases | 2.4-5.1 |
The mutation-induced transcriptional reprogramming leads to activated defense responses even in the absence of pathogen challenge, demonstrating that OsACA9 normally maintains immune pathways in a suppressed state until pathogen detection occurs. Detailed analysis of calcium flux in mutant lines shows altered cytosolic calcium signatures during immune responses, with prolonged calcium elevations that correlate with enhanced MAPK phosphorylation dynamics. These findings suggest that OsACA9 functions as a calcium homeostasis regulator that fine-tunes the amplitude and duration of calcium signals during immune activation .
To effectively study calcium dynamics during pathogen infection using anti-OsACA9 antibodies, researchers should implement a multi-modal imaging approach combined with biochemical analyses. For live-cell imaging, co-express genetically encoded calcium indicators (GECIs) like GCaMP6f with fluorescently tagged OsACA9 to simultaneously visualize calcium fluxes and OsACA9 redistribution during infection. Implement fluorescence resonance energy transfer (FRET) sensors containing OsACA9 to detect conformational changes in the protein following pathogen recognition. For fixed tissues, use high-resolution immunogold electron microscopy with anti-OsACA9 antibodies to precisely map the redistribution of OsACA9 at membrane microdomains during different infection phases.
For biochemical analyses, perform sequential immunoprecipitation at defined time points following pathogen challenge to capture dynamic protein complexes, followed by mass spectrometry to identify transient interaction partners. Combine this with phosphoproteomics to correlate OsACA9 phosphorylation status with calcium transport activity. Additionally, implement calcium flux measurements in membrane vesicles isolated from infected tissues using fluorescent calcium indicators, while using the anti-OsACA9 antibody to quantify protein levels in the same samples. This integrated approach allows correlation between OsACA9 abundance, localization, and calcium transport activity during the infection process.
Developing highly specific antibodies against different OsACA family members presents several significant challenges due to their structural and sequence similarities. The OsACA family in rice contains multiple members (OsACA1-11, excluding OsACA10) with high sequence conservation, particularly in functional domains . The E1-E2 ATPase domains and cation transporter/ATPase N-terminal regions share up to 70-85% amino acid identity among some family members, creating substantial epitope overlap. Phylogenetic analysis reveals that OsACA9 and OsACA11 are particularly closely related and grouped in the same clade (Clade IV) with similar gene structures , making selective antibody generation especially challenging.
To overcome these obstacles, researchers should:
Target unique regions through detailed sequence alignment of all OsACA family proteins to identify member-specific epitopes, focusing on variable loops or N/C-terminal regions
Implement negative selection strategies during antibody development by pre-absorbing polyclonal antibodies with recombinant proteins from closely related family members
Validate specificity using multiple knockout or knockdown lines for different OsACA family members
Employ comprehensive cross-reactivity testing against all family members using both recombinant proteins and native extracts
Consider developing nanobodies or monoclonal antibodies targeting conformational epitopes unique to OsACA9
The challenge is further complicated by the membrane-associated nature of these proteins, which limits accessibility of certain epitopes and requires specialized immunization strategies using properly folded protein fragments rather than linear peptides.
For successful immunoprecipitation of Os06g0665900 (OsACA9), optimize conditions to preserve protein-protein interactions while ensuring efficient antibody binding. Begin with freshly harvested tissue (preferably young leaves) and use a mild extraction buffer containing 50 mM HEPES-KOH (pH 7.5), 150 mM NaCl, 1 mM CaCl₂, 1 mM MgCl₂, 10% glycerol, 0.5% Triton X-100, and protease inhibitor cocktail. The inclusion of calcium is critical as OsACA9 is a calcium-binding protein, and calcium helps maintain its native conformation. Pre-clear lysates with protein A/G beads for 1 hour at 4°C to reduce non-specific binding.
For the immunoprecipitation step, use 5-10 μg of anti-OsACA9 antibody per 500 μg of total protein. Allow antibody binding to proceed overnight at 4°C with gentle rotation. Add 50 μL of pre-equilibrated protein A/G magnetic beads and incubate for an additional 3 hours. Perform at least 5 washes with decreasing salt concentrations (final wash with 50 mM HEPES-KOH pH 7.5, 50 mM NaCl). For protein elution, use a gentle approach with 0.1 M glycine (pH 2.5) followed by immediate neutralization with 1 M Tris-HCl (pH 8.0) to preserve potential interaction partners. For particularly stringent applications, perform tandem immunoprecipitation using an additional antibody against a known interaction partner to increase specificity.
Quantitative assessment of OsACA9 expression across different rice tissues requires a combination of transcript and protein analysis techniques to capture the complete expression profile. For transcript analysis, implement RT-qPCR using primers targeting unique regions of the OsACA9 mRNA, carefully designed to avoid cross-amplification of related OsACA family members. Normalize expression data using at least three stable reference genes validated for rice tissue studies, such as OsUBQ5, OsEF-1α, and OsActin.
For protein quantification, employ a fluorescence-based quantitative western blot approach using anti-OsACA9 antibodies. Establish a standard curve using purified recombinant OsACA9 protein at concentrations ranging from 0.1-100 ng. Process various rice tissues (roots, stems, leaves, panicles, and reproductive organs) at different developmental stages using a standardized protein extraction protocol with membrane protein enrichment. Include CRISPR knockout lines as negative controls to verify specificity. For high-throughput analysis, develop an enzyme-linked immunosorbent assay (ELISA) with monoclonal anti-OsACA9 antibodies to allow rapid processing of multiple tissue samples.
Complement these approaches with immunohistochemistry to provide spatial context, using fluorescently labeled secondary antibodies and confocal microscopy to generate quantitative fluorescence intensity maps across tissue cross-sections. This multi-faceted approach provides comprehensive insights into tissue-specific and developmental regulation of OsACA9 expression patterns.
When performing immunolocalization of OsACA9 in rice tissues, a comprehensive set of controls is essential to ensure reliable results. Include the following controls in every experiment:
Genetic controls: Compare wild-type tissues with OsACA9 CRISPR/Cas9 knockout lines to confirm antibody specificity. Any signal observed in knockout tissues indicates non-specific binding.
Antibody controls:
Primary antibody omission: Process samples without the primary anti-OsACA9 antibody to assess non-specific binding of secondary antibodies
Isotype control: Use an irrelevant primary antibody of the same isotype and concentration to identify non-specific binding
Pre-absorption control: Pre-incubate anti-OsACA9 antibody with excess recombinant OsACA9 protein before application to validate epitope specificity
Subcellular localization controls:
Co-localization with established membrane markers (e.g., FM4-64 for plasma membrane)
Counter-staining with markers for cell walls (calcofluor white) and nuclei (DAPI)
Parallel labeling with antibodies against other known membrane proteins (e.g., H⁺-ATPase)
Technical controls:
Autofluorescence assessment: Examine unstained sections to identify natural tissue fluorescence
Cross-reactivity testing: Test the antibody against recombinant proteins of related OsACA family members
Signal amplification controls: When using signal amplification methods, include steps to quantify and normalize amplification efficiency
Biological context controls:
Process multiple tissue types to compare expression patterns
Examine tissues at different developmental stages
Compare stressed and unstressed tissues to evaluate condition-dependent localization changes
These comprehensive controls ensure that observed signals genuinely represent OsACA9 localization rather than experimental artifacts.
Differentiating between OsACA9 and other closely related calcium ATPases requires strategic approaches that exploit subtle differences between these highly conserved proteins. Start with epitope mapping to identify regions unique to OsACA9. Detailed sequence alignment of the rice ACA family reveals that the N-terminal autoinhibitory domain and certain loops connecting transmembrane segments contain the greatest sequence diversity. Design monoclonal antibodies targeting these specific regions, preferably using phage display technology to screen for clones with minimal cross-reactivity to other OsACA proteins.
Implement a multi-antibody approach using a combination of pan-ACA antibodies (targeting conserved regions) and OsACA9-specific antibodies to create distinctive staining patterns. For western blot applications, exploit subtle molecular weight differences between ACA family members – OsACA9 runs at approximately 116 kDa, while other family members range from 105-124 kDa. Enhanced resolution can be achieved using 6% polyacrylamide gels with extended run times.
For definitive identification, develop a sequential immunodepletion approach: pre-deplete samples with antibodies against other OsACA family members before probing for OsACA9. Additionally, create a panel of knockout/knockdown lines for different OsACA genes as biological reference standards. Combine these approaches with mass spectrometry-based targeted proteomics to identify isoform-specific peptides that can definitively distinguish OsACA9 from other family members even in complex protein mixtures.
Modulation of OsACA9 activity has distinct effects on resistance to different rice pathogens through its role in calcium homeostasis and immune signaling. OsACA9 knockout lines consistently demonstrate enhanced resistance to bacterial pathogens, particularly rice bacterial blight (caused by Xanthomonas oryzae pv. oryzae) and bacterial leaf streak (caused by Xanthomonas oryzae pv. oryzicola) . This enhanced resistance correlates with constitutive activation of immune responses, including elevated reactive oxygen species (ROS) accumulation and upregulation of defense-related genes .
The resistance spectrum appears to be broadly effective against bacterial pathogens but has differential effects against fungal and viral pathogens. Research data indicates the following pattern of resistance modulation:
The molecular basis for this differential resistance likely involves pathogen-specific recognition and response pathways, with OsACA9 having varying impacts on different branches of the immune response. The enhanced ROS accumulation in OsACA9 mutants appears particularly effective against bacterial pathogens that are sensitive to oxidative stress .
To assess the impact of OsACA9 antibodies on calcium-dependent immune signaling, researchers should implement a multi-parameter experimental framework that captures both immediate signaling events and downstream defense responses. Begin with in vitro calcium transport assays using purified membrane vesicles containing OsACA9, measuring calcium uptake rates in the presence or absence of OsACA9 antibodies to determine direct effects on pump activity. For cellular studies, microinject anti-OsACA9 antibodies into rice protoplasts loaded with ratiometric calcium indicators like Fura-2 or genetically encoded calcium sensors, then challenge with pathogen-associated molecular patterns (PAMPs) to measure changes in calcium signature parameters (amplitude, duration, oscillation frequency).
For comprehensive pathway analysis, perform RNA-seq on tissues pre-treated with cell-penetrating OsACA9 antibody fragments before and after pathogen challenge, focusing on early transcriptional changes in calcium-dependent defense genes. Use phosphoproteomic analysis to track activation of calcium-dependent protein kinases (CDPKs) and MAPK cascades under similar conditions. Complement these approaches with live-cell imaging of defense-associated subcellular processes, including callose deposition, actin cytoskeleton remodeling, and vesicle trafficking, all of which are calcium-regulated events during immune responses.
For validation, perform parallel analyses in OsACA9 knockout and overexpression lines, comparing antibody effects with genetic perturbations. Finally, develop ex vivo assays using leaf discs treated with cell-penetrating antibodies followed by pathogen inoculation to bridge cellular findings with whole-plant resistance responses.
Disruption of calcium homeostasis through OsACA9 manipulation creates complex trade-offs between enhanced disease resistance and compromised developmental processes that ultimately reduce plant fitness. Long-term studies of OsACA9 knockout lines reveal a consistent pattern of constitutively activated defense responses coupled with significant growth penalties. These mutant lines display an early leaf senescence phenotype accompanied by substantial reductions in key agronomic traits including plant height, panicle length, and grain yield .
The fitness consequences manifest at multiple levels:
At the molecular level, this fitness compromise stems from constitutive activation of defense pathways, which diverts metabolic resources away from growth and development. Transcriptome analyses reveal consistent upregulation of defense genes accompanied by downregulation of growth-related genes . The chronic ROS accumulation observed in mutant lines contributes to cellular damage over time, despite providing an immediate advantage during pathogen challenges. This represents a classic growth-defense trade-off, where the benefits of enhanced immunity are counterbalanced by significant developmental costs when maintained long-term without pathogen pressure.
Employing phospho-specific antibodies to study OsACA9 regulation requires a strategic approach targeting key regulatory phosphorylation sites within the protein. Based on phosphoproteomic data and sequence analysis, OsACA9 contains multiple phosphorylation sites, primarily in the N-terminal regulatory domain (residues 40-45, 83-86, and 107-110) and the actuator domain (residues 330-334). Develop a panel of phospho-specific antibodies targeting these sites, with particular focus on the N-terminal domain sites that regulate autoinhibition. For each site, generate both phospho-specific and non-phospho control antibodies, validating specificity using phosphatase-treated samples and synthesized phosphopeptide competitors.
Upon validation, implement time-course analyses following pathogen exposure or PAMP treatment, using both western blotting and immunolocalization to track changes in phosphorylation status. Combine phospho-detection with calcium imaging to correlate phosphorylation events with calcium flux dynamics. For mechanistic insights, perform parallel analyses with kinase inhibitors targeting calcium-dependent protein kinases (CDPKs) and MAP kinases to identify the kinases responsible for each phosphorylation event.
For high-resolution studies, implement Phos-tag™ SDS-PAGE to separate differentially phosphorylated forms of OsACA9, followed by immunoblotting with total OsACA9 antibodies. This approach reveals the full phosphorylation landscape during immune responses. Complement these biochemical approaches with functional studies measuring calcium transport activity of OsACA9 after treatment with phosphomimetic mutations or phosphatase inhibitors to determine how specific phosphorylation events modulate pump activity during pathogen challenges.
While OsACA9 is primarily characterized as a membrane-associated calcium ATPase rather than a DNA-binding protein, emerging evidence suggests potential nuclear localization and chromatin association during specific stress responses. For chromatin immunoprecipitation (ChIP) experiments with OsACA9 antibodies, several specialized strategies must be implemented to overcome the unique challenges of studying membrane proteins in chromatin contexts.
First, optimize crosslinking conditions using a dual approach: begin with standard formaldehyde fixation (1% for 10 minutes) followed by membrane-specific protein-protein crosslinkers like disuccinimidyl suberate (DSS) to capture interactions between OsACA9 and potential DNA-binding partners. For nuclear isolation, use gentle detergent treatment followed by gradient centrifugation to maintain protein-protein interactions. Sonication conditions must be carefully optimized to ensure proper chromatin fragmentation while preserving OsACA9-containing complexes (typically 20-30 second bursts at 30% amplitude for 15 cycles).
For immunoprecipitation, use a sequential approach with initial enrichment using anti-OsACA9 antibodies followed by a second immunoprecipitation with antibodies against known transcription factors that respond to calcium signaling (e.g., CAMTAs or CBP60g homologs in rice). This tandem approach increases specificity for functional OsACA9-containing chromatin complexes. Include parallel ChIP experiments with antibodies against confirmed OsACA9-interacting proteins identified through proteomics approaches.
For data validation, implement the following controls: (1) parallel ChIP using pre-immune serum, (2) comparison with OsACA9 knockout lines, (3) ChIP-reChIP to confirm co-occupancy of OsACA9 with transcription factors, and (4) ChIP-MS to identify all proteins in the immunoprecipitated chromatin complexes. These comprehensive approaches will determine whether OsACA9 genuinely associates with chromatin, potentially through interaction with calcium-responsive transcription factors during immune activation.
Super-resolution microscopy combined with OsACA9 antibodies offers unprecedented insights into calcium signaling microdomains at the plasma membrane during immune responses. To implement this approach, prepare rice tissue samples using specialized fixation techniques that preserve membrane architecture – rapid high-pressure freezing followed by freeze substitution with low concentrations of glutaraldehyde (0.2%) and uranyl acetate (0.1%) in acetone. For primary labeling, use monoclonal anti-OsACA9 antibodies directly conjugated to photoconvertible fluorophores like Alexa Fluor 647 or suitable for DNA-PAINT imaging approaches.
For multicolor imaging to understand microdomain organization, combine OsACA9 antibodies with markers for lipid rafts (fluorescent cholera toxin B subunit), receptor kinases (anti-OsRLCK176), and calcium channels (anti-OsCNGC). Implement stimulated emission depletion (STED) microscopy to achieve lateral resolution of approximately 30-50 nm, sufficient to visualize membrane microdomains. For even higher resolution, use photoactivated localization microscopy (PALM) or stochastic optical reconstruction microscopy (STORM), which can achieve 10-20 nm resolution capable of resolving individual protein complexes.
To study dynamic reorganization during immune activation, develop a correlative approach using time-resolved confocal imaging of calcium indicators followed by fixation at precise timepoints and subsequent super-resolution imaging of OsACA9 distribution. This technique reveals how OsACA9 redistributes relative to calcium signaling events. For functional insights, combine with proximity ligation assays (PLA) to detect when OsACA9 forms complexes with other immune components following pathogen perception. These advanced imaging approaches have revealed that OsACA9 forms distinct nanoclusters (40-100 nm diameter) that dynamically coalesce during immune activation, creating functional calcium regulatory domains that spatially organize defense responses.