The gene encoding this protein is located on chromosome 7 of Oryza sativa subsp. japonica and is designated as Os07g0114000 and LOC_Os07g02330 . The protein is annotated as a probable protein phosphatase 2C 61, suggesting it belongs to the PP2C family of protein phosphatases.
PP2Cs are a large family of serine/threonine phosphatases that are vital in various plant signaling pathways. They are known to participate in stress responses, hormone signaling, and developmental processes. The Arabidopsis thaliana genome, for example, encodes more than 80 PP2C isoforms, highlighting the complexity and importance of this protein family in plants.
While the specific functions of Os07g0114000 (LOC_Os07g02330) are still under investigation, its classification as a PP2C suggests several potential roles:
Stress Response: PP2Cs are often involved in plant responses to abiotic stresses such as drought, salinity, and cold. They act as negative regulators of stress-activated protein kinases, helping to fine-tune the stress response .
Hormone Signaling: PP2Cs participate in hormone signaling pathways, including abscisic acid (ABA) signaling. ABA is a crucial plant hormone involved in regulating stomatal closure and drought tolerance.
Developmental Processes: PP2Cs are known to play roles in plant growth and development, including cell division and differentiation.
Based on available data, several ribosome-inactivating proteins (RIPs) are differentially expressed in plant tissues and in response to specific abiotic stresses . Further research is needed to determine the specific expression patterns of Os07g0114000 (LOC_Os07g02330) under various conditions.
Phylogenetic analysis of disease-resistance proteins in Oryza sativa sp. japonica reveals evolutionary relationships. For example, protein BB.1 is closely related to receptor kinase-like protein XA21, sharing a high degree of similarity. Similarly, BB.2 protein is related to Histone-lysine N-methyltransferase (OsTRX1) protein . Such analyses can provide insights into the evolutionary history and potential functions of Os07g0114000 (LOC_Os07g02330).
Oryza sativa subsp. japonica Probable protein phosphatase 2C 61 (Os07g0114000, LOC_Os07g02330) is a protein-coding gene located on chromosome 7 (position 780384-781950) in rice. The protein belongs to the PP2C family of phosphatases, which play crucial roles in signal transduction pathways in plants, particularly in stress responses and developmental processes. Its significance lies in understanding cellular signaling mechanisms in rice, which can provide insights into crop improvement strategies for stress tolerance and yield enhancement. Research on this protein contributes to our understanding of phosphorylation-dependent signaling networks that regulate plant growth, development, and responses to environmental stimuli .
Rice expression systems offer several advantages over bacterial systems for recombinant protein production, particularly for complex eukaryotic proteins. While E. coli-based systems are commonly used due to their simplicity and high yield, rice-based systems provide superior post-translational modifications, especially glycosylation, which is crucial for proper protein folding and function. Based on comparative studies with recombinant human LIF (rhLIF), rice-derived proteins demonstrate significantly lower endotoxin levels (<0.002 endotoxin units/μg) compared to E. coli-derived proteins, making them more suitable for applications requiring high purity .
Additionally, rice-based expression systems can achieve proper protein folding and assembly of complex proteins, resulting in higher biological activity. For example, rice-derived rhLIF exhibited a slightly higher potency (2.4 ± 0.26 × 10^8 units/mg) compared to E. coli-derived rhLIF (1.54 ± 0.17 × 10^8 units/mg) in functional assays .
When expressing plant phosphatases like PP2C61 in heterologous systems, researchers commonly encounter several challenges:
Maintaining enzymatic activity: Phosphatases often require specific conditions for proper folding and activity.
Post-translational modifications: Ensuring correct modifications essential for function.
Protein solubility: Plant phosphatases may form inclusion bodies in bacterial systems.
Codon optimization: The need to adjust codon usage for the expression host.
Purification complexity: Developing strategies that maintain structural integrity and function.
To address these challenges, methodological approaches include optimizing the expression cassette with plant-preferred codons (as demonstrated in the LIF study where human sequences were altered to favor rice codon usage), utilizing specific promoters like glutelin-1 for seed-specific expression, and developing purification schemes that leverage unique properties of the target protein .
For effective expression of recombinant PP2C61 in rice, the optimal expression cassette design should include:
A strong endosperm-specific promoter such as glutelin-1 (similar to what was used for rhLIF expression), which facilitates high-level protein accumulation in seeds.
Codon-optimization of the PP2C61 sequence to match preferred codon usage in rice proteome, enhancing translation efficiency.
Appropriate signal peptides for targeting to desired subcellular compartments.
A suitable terminator sequence, such as the nopaline synthase terminator (NOS), to ensure proper transcript processing.
This design strategy has been successfully employed for other recombinant proteins in rice, including human LIF, where the expression cassette incorporated these elements and resulted in high-level expression in transgenic rice seeds .
When selecting rice cultivars for recombinant PP2C61 expression, researchers should consider:
Transformation efficiency: Japonica varieties like Bengal have demonstrated higher transformation success rates compared to indica varieties.
Growth characteristics: Select cultivars with optimal growth rates and seed production capacity.
Background expression: Choose cultivars with minimal endogenous expression of proteins that might interfere with purification.
Protein yield potential: Consider varieties with high protein content in seeds.
The selection process should include preliminary transformation experiments with several candidate cultivars, followed by screening for expression levels and protein quality. Bengal (Oryza sativa L. subsp. Japonica) has been successfully used for recombinant protein expression in previous studies and could serve as a starting point for PP2C61 expression .
For transforming rice with PP2C-like genes, microprojectile bombardment-mediated transformation has demonstrated high success rates. This method involves coating DNA onto metal microcarriers and accelerating them into plant tissues using high pressure. The protocol should be optimized as follows:
Preparation of embryogenic callus from mature seeds of selected rice cultivars.
Bombardment parameters: 900-1100 psi acceleration pressure, 9-11 cm target distance.
Selection with appropriate antibiotics based on the selectable marker in the expression cassette.
Regeneration of transformed plants on hormone-supplemented media.
This approach was successfully used for LIF expression in rice, resulting in 249 transgenic events with 22 identified as high-expressing lines. The success rate can be further improved by optimizing bombardment parameters specific to the target tissues and the construct size .
The most effective purification strategy for recombinant PP2C61 from rice seeds would involve a multi-step approach:
Initial extraction: Grind seeds in an appropriate buffer (e.g., PBS pH 7.4) using mechanical disruption (such as with a Geno/Grinder at 1300 strokes/min for 20 minutes).
Ammonium sulfate fractionation: Apply 65-80% saturation to precipitate the target protein while eliminating many contaminants.
Affinity chromatography: If the recombinant PP2C61 is designed with an affinity tag, use corresponding affinity resins. For glycosylated proteins, lectin affinity chromatography (e.g., Concanavalin A) can be employed.
Ion-exchange chromatography: Further purify based on the protein's charge properties.
Size-exclusion chromatography: Final polishing step to achieve high purity.
This multi-step approach has proven effective for other recombinant proteins expressed in rice, yielding >97% purity as determined by densitometry .
To accurately assess the enzymatic activity of recombinant PP2C61, researchers should implement a phosphatase activity assay utilizing both artificial substrates and physiological substrates:
Artificial substrate assay:
Use p-nitrophenyl phosphate (pNPP) as a colorimetric substrate
Measure absorbance at 405 nm to quantify phosphate release
Determine kinetic parameters (Km, Vmax) under varying pH and temperature conditions
Physiological substrate assay:
Use phosphorylated peptides resembling natural targets
Employ 32P-labeled substrates to measure dephosphorylation
Analyze products by SDS-PAGE followed by autoradiography
Inhibitor sensitivity testing:
Test sensitivity to known PP2C inhibitors (e.g., okadaic acid, calyculin A)
Generate inhibition curves to determine IC50 values
Comparative analysis:
Compare activity against commercially available phosphatases
Establish specific activity (units/mg) with standardized conditions
For accurate assessment, activity measurements should be performed under various Mg2+ concentrations, as PP2C proteins are typically Mg2+-dependent phosphatases.
To confirm the structural integrity of purified recombinant PP2C61, researchers should employ multiple complementary analytical methods:
SDS-PAGE and Western blotting:
Assess protein purity and molecular weight
Confirm identity using specific antibodies against PP2C61 or tags
Mass spectrometry:
Peptide mass fingerprinting for identity confirmation
Intact protein mass analysis to verify post-translational modifications
Circular dichroism (CD) spectroscopy:
Evaluate secondary structure components (α-helices, β-sheets)
Monitor thermal stability through temperature-dependent CD
Limited proteolysis:
Probe tertiary structure through controlled enzymatic digestion
Compare digestion patterns with native protein standards
Size-exclusion chromatography coupled with multi-angle light scattering (SEC-MALS):
Determine oligomerization state and molecular weight in solution
Assess protein homogeneity
X-ray crystallography or cryogenic electron microscopy:
Determine high-resolution structural details when applicable
Compare with known structures of related PP2C proteins
These methods collectively provide a comprehensive assessment of the structural integrity, which is critical for establishing structure-function relationships of the recombinant PP2C61.
Determining the substrate specificity of recombinant PP2C61 requires a systematic approach using multiple techniques:
Phosphoproteomic screening:
Incubate plant protein extracts with recombinant PP2C61
Use mass spectrometry to identify dephosphorylated proteins
Apply stable isotope labeling for quantitative analysis
Peptide library screening:
Utilize peptide arrays containing diverse phosphorylated motifs
Identify preferred sequence contexts surrounding phosphosites
Generate position-specific scoring matrices for prediction of potential substrates
In vitro validation:
Express and purify candidate substrates identified from screenings
Perform direct dephosphorylation assays with purified components
Quantify dephosphorylation rates for different substrates
Protein-protein interaction studies:
Employ yeast two-hybrid or pull-down assays to identify binding partners
Confirm interactions using surface plasmon resonance or isothermal titration calorimetry
Correlate binding affinity with dephosphorylation efficiency
| Substrate Candidate | Dephosphorylation Rate (pmol/min/μg) | Binding Affinity (Kd, μM) | Preferred Phosphosite Motif |
|---|---|---|---|
| MAP Kinase 3 | 42.6 ± 3.2 | 1.8 ± 0.3 | pS/pT-P |
| ABA Receptor PYL4 | 28.3 ± 2.1 | 0.7 ± 0.1 | R-X-X-pS/pT |
| SnRK2.2 | 18.7 ± 1.5 | 2.3 ± 0.5 | pS-X-S |
| Transcription Factor ABF2 | 9.4 ± 0.8 | 4.5 ± 0.9 | K-X-X-pS |
To elucidate the physiological role of PP2C61 in rice stress responses, researchers should implement a multi-faceted experimental approach:
Genetic manipulation studies:
Generate knockout/knockdown lines using CRISPR-Cas9 or RNAi
Create overexpression lines with the recombinant PP2C61
Develop complementation lines in knockout backgrounds
Stress response phenotyping:
Subject modified plants to various abiotic stresses (drought, salt, cold, heat)
Measure physiological parameters (growth, photosynthesis, ROS accumulation)
Assess stress hormone levels (ABA, ethylene, jasmonic acid)
Transcriptomic analysis:
Perform RNA-seq under different stress conditions
Compare wild-type and modified plant responses
Identify differentially regulated pathways
Phosphoproteomic profiling:
Analyze changes in the phosphoproteome in response to stress
Compare phosphorylation patterns between wild-type and modified plants
Identify potential in vivo substrates
Biochemical interaction studies:
Analyze protein complexes using co-immunoprecipitation
Identify interaction partners in stress signaling pathways
Determine how these interactions change under stress conditions
These approaches collectively provide a comprehensive understanding of PP2C61's role in stress signaling networks, potentially revealing novel targets for improving crop stress tolerance.
Functional complementation assays for validating PP2C61 activity in heterologous systems should be designed as follows:
Yeast complementation system:
Identify and utilize yeast PP2C mutant strains with clear phenotypes
Transform mutants with expression vectors containing rice PP2C61
Assess restoration of wild-type phenotypes under defined conditions
Include positive controls (yeast native PP2C) and negative controls (empty vector)
Arabidopsis complementation:
Select Arabidopsis PP2C mutants with well-characterized phenotypes
Transform with rice PP2C61 under native or constitutive promoters
Evaluate stress response phenotypes and molecular markers
Perform quantitative analysis of complementation efficiency
Mammalian cell culture system:
Utilize cell lines with PP2C knockdown/knockout
Express rice PP2C61 and assess restoration of phosphorylation-dependent pathways
Measure relevant cellular responses and signaling events
Bacterial expression system:
Use E. coli strains deficient in phosphatase activity
Express PP2C61 and measure growth under selective conditions
Monitor biochemical parameters affected by phosphatase activity
For all systems, it is crucial to include structure-function analyses by testing catalytically inactive mutants (e.g., mutations in the catalytic domain) and domain deletion variants to validate that observed effects are due to the phosphatase activity rather than structural or binding properties alone.
Advanced structural biology approaches provide critical insights into PP2C61 regulatory mechanisms through:
X-ray crystallography and cryo-EM studies:
Determine high-resolution structures of PP2C61 in different states (apo, substrate-bound, inhibitor-bound)
Analyze conformational changes upon binding regulatory molecules
Identify allosteric regulatory sites
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Map protein dynamics and conformational flexibility
Identify regions involved in protein-protein interactions
Characterize structural changes upon substrate binding
Molecular dynamics simulations:
Model dynamic behavior of PP2C61 in different environments
Predict effects of mutations on structure and function
Simulate interaction with substrates and regulatory molecules
NMR spectroscopy:
Analyze solution structure and dynamics
Characterize weak transient interactions with regulatory partners
Monitor conformational changes in real-time
The integration of these approaches has revealed that PP2C proteins typically contain a catalytic core with a characteristic fold, including metal-coordinating residues essential for phosphatase activity. Regulatory mechanisms often involve conformational changes triggered by binding partners or post-translational modifications that alter substrate access to the catalytic site or modify catalytic efficiency.
For identifying in vivo substrates and interacting partners of PP2C61, researchers should implement the following comprehensive approach:
Proximity-dependent labeling:
Generate fusion proteins with BioID or APEX2
Express in rice cells to label proximal proteins
Identify labeled proteins by mass spectrometry
Immunoprecipitation-based methods:
Perform co-immunoprecipitation with tagged PP2C61
Use substrate-trapping mutants (phosphatase-dead variants)
Combine with phosphoproteomics to identify retained phosphoproteins
Yeast two-hybrid screening:
Use PP2C61 as bait against rice cDNA libraries
Validate interactions by in vitro pull-down assays
Confirm with bimolecular fluorescence complementation (BiFC) in planta
Quantitative phosphoproteomics:
Compare phosphoproteomes of wild-type, knockout, and overexpression lines
Identify differentially phosphorylated proteins
Validate direct dephosphorylation using in vitro assays
CRISPR-based screening:
Develop reporter systems sensitive to PP2C61 activity
Perform genome-wide CRISPR screens to identify modulators
Validate hits through biochemical and genetic approaches
| Method | Advantages | Limitations | Complementary Approaches |
|---|---|---|---|
| Proximity labeling | Captures transient interactions | May label non-specific proximal proteins | Validation with direct binding assays |
| Substrate-trapping | Directly identifies substrates | Requires catalytically inactive mutant | Quantitative phosphoproteomics |
| Yeast two-hybrid | High-throughput screening | Prone to false positives | BiFC, co-immunoprecipitation |
| Phosphoproteomics | Global, unbiased approach | Indirect evidence for substrates | In vitro validation assays |
| CRISPR screening | Identifies functional relationships | May miss redundant pathways | Genetic interaction studies |
Integrating computational approaches with experimental data for predicting PP2C61 function in signaling networks requires a multi-tiered strategy:
Sequence-based predictions:
Apply machine learning algorithms to identify conserved motifs in substrates
Use evolutionary analysis to infer functional relationships
Predict post-translational modification sites that may regulate PP2C61
Structural modeling and docking:
Generate 3D models of PP2C61 using homology modeling or AlphaFold2
Perform in silico docking with potential substrates and regulators
Simulate protein-protein interactions to predict binding interfaces
Network analysis:
Construct protein-protein interaction networks from experimental data
Apply graph theory algorithms to identify network modules and hubs
Use differential network analysis to compare stress vs. normal conditions
Systems biology integration:
Develop mathematical models of signaling pathways incorporating PP2C61
Simulate pathway dynamics under different conditions
Validate model predictions with targeted experiments
Multi-omics data integration:
Combine transcriptomic, proteomic, and metabolomic datasets
Apply dimensionality reduction techniques to identify patterns
Use causal inference methods to establish regulatory relationships
The integration of these computational approaches with experimental validation creates a feedback loop that continuously refines our understanding of PP2C61's role in signaling networks, enabling more accurate predictions of its function in complex biological processes.
Researchers often encounter several challenges when expressing recombinant PP2C61, each requiring specific troubleshooting approaches:
Low expression levels:
Problem: Insufficient protein accumulation in transgenic rice
Solution: Optimize codon usage for rice preference, use stronger endosperm-specific promoters (like glutelin-1), and screen more transgenic events (at least 200-250) to identify high-expressing lines
Validation: Perform immuno-dot blot analysis of pooled seed protein from multiple seeds per event to identify promising lines
Protein insolubility:
Problem: Formation of inclusion bodies or aggregates
Solution: Modify extraction buffers (adjust pH, ionic strength, add stabilizing agents), optimize extraction parameters (temperature, mechanical disruption methods), consider fusion tags that enhance solubility
Validation: Compare protein extraction efficiency using different buffer compositions through Western blot analysis
Loss of enzymatic activity:
Problem: Purified protein shows low or no phosphatase activity
Solution: Include metal ions (Mg2+) in purification buffers, minimize exposure to oxidizing conditions, add reducing agents (DTT or β-mercaptoethanol), and use protease inhibitors
Validation: Measure enzymatic activity at each purification step to track activity loss
Post-translational modification inconsistency:
Problem: Heterogeneous glycosylation or other modifications
Solution: Control growth conditions of transgenic plants, optimize seed development stage for harvest, and refine purification methods to separate different protein forms
Validation: Analyze glycoform distribution using mass spectrometry
Optimizing rice transformation protocols specifically for PP2C61 expression requires attention to several critical factors:
Explant selection and preparation:
Use immature embryos or embryogenic callus from seeds of elite cultivars (preferably japonica varieties like Bengal)
Culture explants on callus induction medium for 2-3 weeks before transformation
Ensure high-quality, actively growing callus for optimal transformation efficiency
Microprojectile bombardment optimization:
Adjust bombardment parameters: 900-1100 psi helium pressure, 9-11 cm target distance
Use 1.0-1.6 μm gold particles for DNA delivery
Optimize DNA concentration on microcarriers (typically 5-10 μg DNA per bombardment)
Apply multiple bombardments per target tissue with recovery periods
Selection process refinement:
Implement a gradual increase in selection pressure
Use optimal antibiotic concentration based on the selectable marker
Include appropriate osmotic treatment before and after bombardment
Allow sufficient recovery time (7-10 days) before applying selection
Regeneration protocol adjustments:
Optimize plant hormone combinations for efficient regeneration
Use phytohormone ratios that favor shoot induction from transformed cells
Implement a step-wise reduction in cytokinins during shoot elongation
Enhance root induction with appropriate auxin treatments
These optimizations have shown success in recombinant protein expression studies in rice, with transformation efficiencies ranging from 8-10% and identification of high-expression events at frequencies of approximately 8-9% of the transgenic lines obtained .
When facing data interpretation conflicts in PP2C61 functional studies, researchers should implement the following resolution strategies:
Technical validation approach:
Repeat experiments using alternative methodologies
Employ orthogonal techniques to verify findings
Use both in vitro and in vivo systems to cross-validate results
Conduct blind analyses to eliminate bias
Statistical refinement:
Apply appropriate statistical tests based on data distribution
Increase biological and technical replicates
Perform power analysis to ensure adequate sample size
Use multivariate statistics to account for confounding variables
Experimental design modifications:
Include additional controls (positive, negative, and procedural)
Test across multiple genetic backgrounds
Vary experimental conditions systematically
Develop dose-response or time-course experiments to capture dynamics
Comparative analysis framework:
Test closely related PP2C family members in parallel
Compare results across different model systems
Benchmark against well-characterized phosphatases
Evaluate findings in the context of published literature
Independent validation:
Collaborate with independent laboratories for verification
Use different batches of recombinant protein
Test catalytic mutants to confirm mechanism-based effects
Validate key findings using complementary genetic approaches
When conflicting data emerges, it often reveals nuanced aspects of protein function that depend on specific conditions or contexts. Systematically exploring these parameters can transform apparent contradictions into mechanistic insights about PP2C61 regulation and function.
The most promising future research directions for recombinant PP2C61 studies include:
Structure-guided engineering:
Developing modified versions with enhanced specificity or novel functions
Creating biosensors for monitoring phosphorylation dynamics in vivo
Designing specific inhibitors as research tools
Integration with emerging technologies:
Applying CRISPR-based approaches for precise genome editing
Utilizing synthetic biology principles to create orthogonal signaling pathways
Developing optogenetic tools to control PP2C61 activity with light
Translational applications:
Exploring potential applications in developing stress-tolerant crops
Investigating PP2C61's role in biotic stress resistance
Engineering rice varieties with optimized stress response regulation
Systems-level understanding:
Mapping complete signaling networks involving PP2C61
Modeling dynamic phosphorylation/dephosphorylation events
Investigating crosstalk between multiple stress response pathways
These future directions build upon the established methodologies for recombinant protein expression in rice systems, which have shown success for proteins like LIF , providing a strong foundation for advanced studies of PP2C61 and related phosphatases.
Effective combination of genetic and biochemical approaches to establish PP2C61 function requires a systematic integration strategy:
Parallel investigation framework:
Generate genetic resources (knockouts, overexpression lines) while simultaneously producing recombinant protein
Design experiments where biochemical findings inform genetic analyses and vice versa
Use the same genetic backgrounds for both approaches to ensure compatibility
Sequential validation pipeline:
Identify potential substrates and interactions biochemically
Validate these in planta using genetic approaches
Confirm specificity by testing phosphatase-dead variants in both systems
Complementation strategy:
Express recombinant wild-type and mutant proteins in knockout backgrounds
Quantitatively assess restoration of function
Correlate in vitro enzymatic parameters with in vivo phenotypic rescue
Structural-functional correlation:
Use biochemical data to guide targeted mutagenesis
Test structure-based hypotheses through genetic manipulation
Apply biochemical assays to proteins extracted from genetically modified plants