Recombinant Capsicum annuum Superoxide dismutase [Cu-Zn] (SODCC)

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Product Specs

Form
Lyophilized powder. We will ship the in-stock format unless you specify a format preference when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. All proteins ship with standard blue ice packs. Request dry ice shipping in advance for an extra fee.
Notes
Avoid repeated freeze-thaw cycles. Working aliquots are stable at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. The default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Liquid form is generally stable for 6 months at -20°C/-80°C. Lyophilized form is generally stable for 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during production. If you require a specific tag, please let us know, and we will prioritize its development.
Synonyms
SODCC; Superoxide dismutase [Cu-Zn]; EC 1.15.1.1
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-152
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Capsicum annuum (Bell pepper)
Target Names
SODCC
Target Protein Sequence
MVKAVAVLSS SECVSGTILF SQDGDAPTTV TGNVSGLKPG LHGFHVHALG DTTNGCMSTG PHYNPAGKEH GAPEDENRHA GDLGNITVGE DGTASFTITD EQIPLTGPQS IIGRGVVVHA DPDDLGKGGH ELTKTTGNAG GRVACGIIGL QG
Uniprot No.

Target Background

Function
Neutralizes radicals produced within cells that are toxic to biological systems.
Database Links

UniGene: Can.3699

Protein Families
Cu-Zn superoxide dismutase family
Subcellular Location
Cytoplasm.

Q&A

What is Superoxide dismutase [Cu-Zn] from Capsicum annuum (SODCC)?

SODCC is an antioxidant enzyme belonging to the Cu-Zn superoxide dismutase family found in Capsicum annuum (pepper plants). It functions primarily to destroy radicals that are normally produced within cells and are toxic to biological systems . The enzyme consists of 152 amino acids with a molecular weight of approximately 15.3 kDa . The complete amino acid sequence is:

MVKAVAVLSSSECVSGTILFSQDGDAPTTVTGNVSGLKPGLHGFHVHALGDTTNGCMSTGPHYNPAGKEHGAPEDENRHAGDLGNITVGEDGTASFTITDEQIPLTGPQSIIGRGVVVHADPDDLGKGGHELTKTTGNAGGRVACGIIGLQG

In its native environment, SODCC plays a crucial role in the plant's antioxidant defense system, catalyzing the conversion of superoxide radicals into hydrogen peroxide and molecular oxygen, thereby protecting cellular components from oxidative damage during normal metabolism and stress conditions.

How does SODCC function in the antioxidant defense system of Capsicum annuum?

SODCC functions as a first-line defense enzyme in the antioxidant system of pepper plants by:

  • Catalyzing the dismutation reaction: 2O₂⁻ + 2H⁺ → H₂O₂ + O₂

  • Coordinating with other antioxidant enzymes (catalases and peroxidases) that subsequently detoxify the hydrogen peroxide produced

  • Protecting cellular components from oxidative damage during both normal metabolism and stress conditions

  • Contributing to cell wall reinforcement and reactive oxygen species (ROS) homeostasis

This enzymatic activity is particularly important during stress conditions such as pathogen infection, when plants experience oxidative bursts as part of their defense response. During bacterial wilt pathogenesis in pepper, for instance, antioxidant enzymes like SODCC may be activated to manage ROS levels .

What are the most effective methods for recombinant expression of SODCC?

For recombinant expression of SODCC, researchers should consider:

Expression Systems:

  • Bacterial systems: E. coli BL21(DE3) is commonly used for quick expression, though proper metal incorporation can be challenging

  • Yeast systems: Pichia pastoris offers advantages for proper folding of eukaryotic proteins

  • Plant-based expression: Various plant expression systems may provide appropriate post-translational modifications

Optimization Parameters:

  • Temperature (typically lower temperatures improve soluble protein yields)

  • Induction conditions (inducer concentration, timing, duration)

  • Media composition (supplementation with copper and zinc ions is critical)

  • Co-expression with chaperones to improve folding

Based on research with other Capsicum annuum proteins, Agrobacterium-mediated transformation approaches have been successful, with strain selection being important depending on the specific variety of pepper being studied. For example, Agrobacterium tumefaciens GV3101 has shown superior callus induction in cv. Dempsey, while multiple strains (AGL1, EHA101, GV3101) show similar efficiency with cv. CM334 .

What techniques are most suitable for measuring SODCC activity in experimental settings?

Several complementary techniques can be employed to measure SODCC activity:

Spectrophotometric Assays:

  • Nitroblue tetrazolium (NBT) assay: Measures inhibition of NBT reduction by superoxide generated via xanthine/xanthine oxidase

  • Cytochrome c reduction assay: Quantifies inhibition of cytochrome c reduction by superoxide radicals

Electrophoretic Methods:

  • Native PAGE with activity staining: Separates protein based on charge and size while maintaining native conformation, followed by activity-specific staining

  • Isoelectric focusing: Separates SOD isoforms based on isoelectric points

Advanced Analytical Techniques:

  • Electron paramagnetic resonance (EPR) spectroscopy: Directly detects superoxide radicals and their dismutation

  • Chemiluminescence assays: Utilizing lucigenin or luminol for high sensitivity detection

Activity is typically expressed as units/mg protein, where one unit equals the amount of enzyme required to inhibit the reduction of NBT by 50%. When analyzing SODCC in plant tissues, it's important to optimize extraction methods to preserve enzyme activity and separate from other SOD isoforms.

How does SODCC expression change during stress responses in Capsicum annuum?

SODCC expression dynamics during stress responses follow complex patterns:

Pathogen Infection Response:
During bacterial wilt infection by Ralstonia solanacearum, global transcriptome changes in pepper reveal extensive reprogramming, with 1,400, 3,335, 2,878, and 4,484 differentially expressed genes identified at 1, 3, 5, and 7 days post-inoculation, respectively . While specific SODCC data is not detailed in the search results, antioxidant enzymes typically show temporal regulation during infection.

Developmental Regulation:
Transcriptome analysis during fruit development in Capsicum reveals that transcriptome diversity decreases linearly as fruit development progresses . The effective number of expressed loci (ENL) in mature flowers (0 days after anthesis, DAA) is approximately 6,296, decreasing to about 2,635 in mature fruits (80 DAA) . This represents a linear decline of approximately 46 loci per day during fruit development .

Time Point (DAA)Mean ENLStandard Deviation
0 (Flower)~6296Variable
20LowerLowest (~SD)
40VariableHighest (SD)
80 (Mature fruit)~2635Variable

This developmental regulation pattern suggests that SODCC expression may also be temporally regulated during fruit development, potentially correlating with changing ROS signaling requirements at different developmental stages.

How can CRISPR/Cas9 genome editing be applied to study SODCC function in pepper plants?

CRISPR/Cas9 technology offers powerful approaches for functional studies of SODCC through targeted genome editing:

Vector Construction and Transformation:

  • Design specific sgRNAs targeting the SODCC gene

  • Clone validated sgRNA sequences into appropriate vectors (such as pBAtC binary vector)

  • Select appropriate Agrobacterium tumefaciens strain based on pepper variety:

    • For hot pepper (CM334): AGL1, EHA101, or GV3101 show similar efficiency

    • For bell pepper (Dempsey): GV3101 shows superior callus induction

  • Apply optimized selection pressure using markers like phosphinothricin (PPT) at variety-specific concentrations (1 mg/L for CM334, 5 mg/L for Dempsey)

Experimental Approaches:

  • Gene knockout: Generate complete loss-of-function mutants to assess the requirement for SODCC under various conditions

  • Domain-specific mutations: Target specific functional domains to understand structure-function relationships

  • Promoter editing: Modify regulatory regions to alter expression patterns

  • Multiplexed editing: Target multiple SOD genes simultaneously to overcome functional redundancy

Phenotypic Analysis:

  • ROS imaging in wild-type versus edited plants under stress conditions

  • Comparative transcriptomics to identify compensatory mechanisms

  • Pathogen susceptibility testing, particularly against Ralstonia solanacearum

  • Analysis of stress tolerance parameters (drought, salinity, temperature extremes)

This approach leverages established transformation protocols for Capsicum annuum while providing precise genetic modifications to elucidate SODCC function.

What structural features of SODCC contribute to its catalytic mechanism?

SODCC's catalytic mechanism relies on several key structural features:

Metal Cofactors and Coordination:

  • Copper ion: Directly involved in the catalytic cycle, alternating between Cu(II) and Cu(I) oxidation states

  • Zinc ion: Primarily structural, stabilizing the active site architecture

  • Metal-coordinating residues: The conserved histidine-rich motif "HGFHVHALGD" found in the sequence is critical for metal binding

Active Site Architecture:

  • Positively charged electrostatic channel: Guides the negatively charged superoxide radical to the active site

  • Catalytic residues: Specific amino acids that facilitate proton transfer during the dismutation reaction

  • Substrate-binding pocket: Optimized geometry for superoxide recognition

Structural Stability Elements:

  • Disulfide bonds: Contribute to tertiary structure stability

  • Secondary structure elements: β-barrel core typical of Cu-Zn SODs provides structural rigidity

  • Quaternary organization: Many Cu-Zn SODs function as homodimers, with interface residues contributing to stability

The amino acid sequence of SODCC (152 amino acids) contains all the necessary elements for proper folding and function, including the conserved metal-binding regions essential for catalytic activity .

How do post-translational modifications affect SODCC activity and stability?

Post-translational modifications (PTMs) can significantly impact SODCC activity and stability through multiple mechanisms:

Metal Ion Incorporation:

  • The incorporation of copper and zinc ions is essential for catalytic activity

  • Metallochaperones likely assist in proper metal loading in vivo

  • Incomplete metallation results in reduced catalytic efficiency

Disulfide Bond Formation:

  • Proper disulfide bond formation is critical for structural stability

  • Oxidative environments may influence the redox state of cysteine residues

  • Improper disulfide bonding can lead to misfolding and aggregation

Glycosylation:

  • N-linked or O-linked glycosylation may affect solubility and stability

  • Glycosylation patterns may vary depending on expression system

  • Modified glycosylation can alter half-life in vivo

Phosphorylation:

  • Potential phosphorylation sites may influence enzyme regulation

  • Stress-responsive kinases could modulate SODCC activity through phosphorylation

  • Phosphorylation status may change during different stress conditions

When producing recombinant SODCC, researchers should carefully consider the expression system used, as bacterial systems may not reproduce all PTMs found in the native pepper enzyme, potentially affecting catalytic properties and stability.

How is SODCC involved in defense responses against bacterial wilt in Capsicum annuum?

SODCC likely plays a significant role in defense responses against bacterial wilt caused by Ralstonia solanacearum:

Transcriptional Responses:
Dual RNA-seq analysis of R. solanacearum infection in susceptible pepper CM334 revealed extensive transcriptional reprogramming, with thousands of differentially expressed genes at different infection stages . While SODCC-specific expression data is not provided in the search results, the study identified 1,400, 3,335, 2,878, and 4,484 differentially expressed pepper genes at 1, 3, 5, and 7 days post-inoculation, respectively .

Defense Mechanisms:
During bacterial infection, SODCC likely contributes to:

  • Managing the oxidative burst that accompanies pathogen recognition

  • Contributing to cell wall reinforcement through regulated ROS production

  • Balancing ROS levels to maintain signaling functions while preventing cellular damage

  • Participating in the antioxidant network that modulates defense hormone signaling

Bacterial Counterstrategies:
R. solanacearum transcriptome analysis during infection revealed 218 and 1,042 differentially expressed bacterial genes at 3 and 7 days post-inoculation . These included virulence factors and metabolic adaptations that may interact with or counteract host antioxidant systems like SODCC.

Understanding SODCC's specific role in this interaction could provide insights for developing bacterial wilt-resistant pepper varieties through breeding or genetic engineering approaches.

What methodological approaches are most effective for studying SODCC-mediated ROS homeostasis during pathogen infection?

To effectively study SODCC-mediated ROS homeostasis during pathogen infection, researchers should employ a multi-faceted approach:

In vivo ROS Detection:

  • DAB (3,3'-diaminobenzidine) staining: Visualizes H₂O₂ accumulation in infected tissues

  • NBT (nitroblue tetrazolium) staining: Detects superoxide radicals

  • H₂DCFDA fluorescence: Measures general ROS levels using confocal microscopy

  • Genetically encoded ROS sensors: Allows real-time monitoring of ROS dynamics

Enzyme Activity Profiling:

  • In-gel activity assays: Separate and visualize different SOD isoforms during infection progression

  • Spectrophotometric assays: Quantify total SOD activity changes during infection

  • Isoform-specific activity measurements: Distinguish SODCC activity from other SOD types

Genetic Approaches:

  • VIGS (Virus-Induced Gene Silencing): Transiently silence SODCC to assess impact on disease progression

  • CRISPR/Cas9-edited lines: Generate stable SODCC knockouts or variants

  • Overexpression lines: Study the effect of enhanced SODCC levels on pathogen resistance

Dual Transcriptomics/Proteomics:

  • Dual RNA-seq: Simultaneously capture host and pathogen transcriptomes during infection

  • Proteomics: Quantify protein-level changes in antioxidant enzymes

  • Redox proteomics: Assess redox state changes of proteins during infection

Metabolite Analysis:

  • ROS-modified metabolites: Measure products of ROS reactions with cellular components

  • Antioxidant metabolites: Quantify non-enzymatic antioxidants that work alongside SODCC

By integrating these approaches, researchers can develop a comprehensive understanding of how SODCC contributes to ROS homeostasis during pathogen infection and identify potential intervention points for enhancing disease resistance.

How does SODCC expression change during fruit development in Capsicum annuum?

SODCC expression during fruit development likely follows specific patterns related to the changing transcriptome landscape:

Transcriptome Diversity Pattern:
Research on Capsicum fruit development demonstrates a linear decrease in transcriptome diversity (measured as Effective Number of Loci, ENL) from flowering to fruit maturation . This decrease follows a consistent pattern with:

  • Highest diversity in flowers (0 DAA): ENL ≈ 6,296

  • Steady decline during development: ~46 loci per day

  • Lowest diversity in mature fruit (80 DAA): ENL ≈ 2,635

Temporal Expression Pattern:
While specific SODCC expression data is not provided in the search results, the general pattern suggests:

  • Higher expression in flowers and early fruit development stages

  • Potential critical regulation points at 20 DAA (lowest variation, active fruit growth) and 40 DAA (highest variation, transition from growth to maturation)

  • Potentially reduced expression in mature fruits, corresponding with decreased transcriptome complexity

Biological Significance:
These expression changes likely reflect the changing ROS management needs during development:

  • Early stages require complex ROS signaling for cell division and expansion

  • Maturation and ripening involve specific ROS-mediated processes

  • Different fruit tissues (pericarp, placenta, seeds) may show tissue-specific SODCC expression patterns

A comprehensive analysis would require tissue-specific, temporal sampling throughout fruit development with targeted SODCC expression and activity measurements.

What experimental designs best evaluate SODCC's role in multiple stress tolerance in pepper plants?

To comprehensively evaluate SODCC's role in multiple stress tolerance, researchers should implement experimental designs that:

Genetic Material Preparation:

  • Generate lines with altered SODCC expression:

    • CRISPR/Cas9 knockout or knockdown lines

    • Overexpression lines with constitutive or stress-inducible promoters

    • Lines expressing modified SODCC variants with altered properties

  • Include appropriate wild-type controls and ideally multiple genetic backgrounds

Stress Application Protocols:

  • Single Stress Experiments:

    • Biotic stress: Controlled pathogen inoculation (e.g., Ralstonia solanacearum)

    • Abiotic stresses: Drought, salt, heat, cold, high light, applied under controlled conditions

    • Oxidative stress: Direct application of ROS-generating compounds

  • Combined Stress Experiments:

    • Sequential application (e.g., drought followed by pathogen)

    • Simultaneous application of multiple stresses

    • Fluctuating stress intensity to mimic field conditions

Data Collection Framework:

Parameter CategorySpecific MeasurementsTimepoints
PhysiologicalPhotosynthetic efficiency, stomatal conductance, water use efficiencyBefore, during, and after stress
BiochemicalSOD activity, other antioxidant enzymes, ROS levels, oxidative damage markersEarly, middle, and late stress response
MolecularSODCC expression (RNA, protein), global transcriptome/proteomeKey developmental stages under stress
AgronomicGrowth parameters, yield components, fruit qualityThroughout life cycle

Advanced Analytical Approaches:

  • Time-course sampling to capture dynamic responses

  • Tissue-specific analyses to identify local vs. systemic responses

  • Multi-omics integration (transcriptomics, proteomics, metabolomics)

  • Network analysis to place SODCC within broader stress response pathways

This comprehensive experimental design would provide insights into SODCC's specific contributions to stress tolerance while accounting for the complex, interconnected nature of plant stress responses.

What emerging technologies show promise for advancing SODCC research in Capsicum annuum?

Several emerging technologies offer significant potential for advancing SODCC research:

Genome Editing Advancements:

  • Base editing: Precise modification of specific nucleotides without double-strand breaks

  • Prime editing: Targeted insertions, deletions, and all possible base transitions

  • CRISPR activation/repression: Modulation of SODCC expression without sequence alteration

  • Improved transformation protocols: Building on recent Agrobacterium-mediated transformation successes in different pepper varieties

Single-Cell Technologies:

  • Single-cell RNA-seq: Cell-type specific SODCC expression analysis across tissues

  • Spatial transcriptomics: Mapping SODCC expression within complex tissues

  • Single-cell proteomics: Protein-level analysis at cellular resolution

Imaging Technologies:

  • Genetically encoded ROS sensors: Real-time visualization of ROS dynamics

  • Super-resolution microscopy: Subcellular localization of SODCC protein

  • Live-cell imaging: Tracking SODCC-GFP fusion proteins during stress responses

Computational Advances:

  • Machine learning for promoter analysis: Prediction of SODCC regulation

  • Protein structure prediction (AlphaFold2): Accurate SODCC structural models

  • Systems biology approaches: Integration of SODCC into stress response networks

Field-Based Phenotyping:

  • High-throughput phenomics: Assessing SODCC-modified lines under field conditions

  • Remote sensing technologies: Non-destructive monitoring of stress responses

  • Environmental sensors: Correlation of field conditions with molecular responses

These technologies, especially when integrated, could provide unprecedented insights into SODCC function, regulation, and potential applications in pepper improvement.

How might structural biology approaches enhance our understanding of SODCC catalytic mechanisms?

Structural biology approaches offer powerful tools for elucidating SODCC catalytic mechanisms:

X-ray Crystallography:

  • Determination of high-resolution SODCC structure at atomic level

  • Co-crystallization with substrates or inhibitors to capture catalytic intermediates

  • Analysis of metal-binding sites and their geometry

  • Structural comparison with SODs from other species

Cryo-Electron Microscopy (Cryo-EM):

  • Visualization of SODCC in different conformational states

  • Analysis of flexible regions that may be difficult to resolve by crystallography

  • Study of SODCC interactions with other proteins or cellular components

  • Potential visualization of substrate channeling mechanisms

Nuclear Magnetic Resonance (NMR) Spectroscopy:

  • Investigation of SODCC dynamics in solution

  • Identification of residues involved in substrate binding and catalysis

  • Analysis of metal coordination environments

  • Study of conformational changes during catalytic cycle

Computational Approaches:

  • Molecular dynamics simulations to model enzyme flexibility and substrate interactions

  • Quantum mechanics/molecular mechanics (QM/MM) calculations to model the catalytic reaction

  • Virtual screening for potential inhibitors or activators

  • Homology modeling based on related SOD structures

Time-Resolved Methods:

  • Time-resolved X-ray crystallography to capture reaction intermediates

  • Stopped-flow kinetics coupled with spectroscopic methods

  • Hydrogen-deuterium exchange mass spectrometry to probe conformational dynamics

By applying these complementary approaches, researchers could develop a comprehensive understanding of how SODCC's structure enables its function, potentially identifying key residues for enzyme engineering or targets for enhancing plant stress resistance.

How does SODCC from Capsicum annuum compare with Cu-Zn SODs from other Solanaceae species?

A comparative analysis of Cu-Zn SODs across Solanaceae species reveals both conservation and divergence:

Sequence and Structure Comparison:
While specific comparative data for SODCC is not provided in the search results, Cu-Zn SODs typically show:

  • High conservation in catalytic domains and metal-binding motifs

  • Divergence in surface residues and regulatory regions

  • Species-specific variations in N-terminal and C-terminal regions

  • Conserved disulfide bond patterns critical for structural stability

Expression Pattern Differentiation:
Transcriptomic studies in Capsicum annuum show distinct patterns during fruit development , which likely differ from other Solanaceae members:

  • Capsicum-specific expression during fruit development stages

  • Differential regulation during stress responses

  • Tissue-specific expression patterns that reflect evolutionary adaptation

Functional Adaptations:
The functional properties of SODCC may reflect adaptations to:

  • Capsicum's native environmental conditions

  • Specific pathogen pressures (such as Ralstonia solanacearum)

  • Developmental requirements unique to pepper fruit maturation

Evolutionary Context:
Comparative genomics across Solanaceae reveals:

  • Gene duplication events leading to SOD isoform diversification

  • Selection pressures related to environmental adaptations

  • Potential neofunctionalization of duplicated SOD genes

A comprehensive comparative analysis would require experimental determination of enzymatic properties, expression patterns, and stress responsiveness across multiple Solanaceae species to identify truly Capsicum-specific adaptations in SODCC.

What can we learn from heterologous expression of SODCC in model plant systems?

Heterologous expression of SODCC in model plant systems can provide valuable insights:

Functional Conservation Analysis:

  • Testing whether SODCC can complement SOD mutants in model plants (Arabidopsis, tobacco)

  • Determining if SODCC confers similar stress protection in different genetic backgrounds

  • Evaluating conservation of regulatory mechanisms across species

Structure-Function Relationships:

  • Creating chimeric proteins between SODCC and host SODs to identify critical domains

  • Site-directed mutagenesis to test the importance of Capsicum-specific residues

  • Localization studies using SODCC-reporter fusions to determine subcellular targeting

Stress Response Mechanisms:

  • Analyzing transcriptome changes in transgenic plants expressing SODCC

  • Testing stress tolerance against multiple abiotic and biotic stressors

  • Investigating ROS homeostasis alterations in transgenic lines

Methodological Advantages:

  • Faster transformation and regeneration in model systems compared to pepper

  • Availability of genetic resources (mutants, mapping populations) in model species

  • Established protocols for various physiological and molecular analyses

Potential Applications:

  • Identification of beneficial SODCC properties that could be transferred to crops

  • Understanding how genetic background influences SODCC function

  • Development of improved antioxidant systems for multiple crop species

Heterologous expression studies provide a complementary approach to direct studies in Capsicum, offering both mechanistic insights and potential biotechnological applications while leveraging the extensive resources available for model plant systems.

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