Recombinant Pinus sylvestris Superoxide dismutase [Cu-Zn] (SODCC)

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Description

Introduction

Recombinant Pinus sylvestris Superoxide Dismutase [Cu-Zn] (SODCC) is a metalloenzyme engineered to replicate the native Cu-Zn superoxide dismutase (SOD) found in Scots pine (Pinus sylvestris). SODs are critical antioxidant enzymes that catalyze the dismutation of superoxide radicals (O2\text{O}_2^-) into oxygen (O2\text{O}_2) and hydrogen peroxide (H2O2\text{H}_2\text{O}_2), mitigating oxidative stress in aerobic organisms. The Cu-Zn isoform (SODCC) is distinguished by its reliance on copper and zinc cofactors for catalytic activity and structural stability .

Molecular Architecture

  • Primary Structure: The native cytosolic SODCC (SOD-1) from P. sylvestris is a dimeric protein with a subunit molecular weight of 16.5 kDa, while the chloroplastic isoform (SOD-3) has a subunit weight of 20.4 kDa .

  • Metal Cofactors: Each subunit binds one copper and one zinc ion, with the active site copper facilitating redox cycling during catalysis .

  • Post-Translational Features: The N-terminal sequence of SOD-1 includes residues Ala-Thr-Lys-Ala-Val, critical for metal coordination and enzymatic activity .

Table 2: Comparative Activity of SOD Isoforms

ParameterSODCC (Cytosolic)Mn-SOD (Mitochondrial)Fe-SOD (Chloroplastic)
Metal CofactorsCu-ZnMnFe
Cyanide SensitivityHighLowLow
Subcellular LocalizationCytosolMitochondriaChloroplasts

Role in Oxidative Stress Response

  • Stress Adaptation: SODCC expression is upregulated under oxidative stress (e.g., UV exposure, salinity-alkalinity), protecting cellular components like photosystem II .

  • Genetic Regulation: The PS-CuZnSOD gene in P. sylvestris shows tissue-specific expression (leaves > stems > roots) and induction under NaHCO₃ stress .

Genetic Diversity and Evolutionary Insights

  • Nucleotide Diversity: P. sylvestris exhibits silent-site genetic diversity of ~0.004/bp, with purifying selection maintaining SOD function .

  • Linkage Disequilibrium (LD): Rapid LD decay (within 100–500 bp) limits hitchhiking effects but enhances adaptive potential in SOD loci .

Table 3: Genetic Metrics in P. sylvestris SODCC

MetricValueSource
Nucleotide Diversity (π)0.004/bpTyrmi et al. (2019)
Recombination Rate (cM/Mb)0.07Komulainen et al. (2003)
Population Differentiation (GSTG_{ST})0.559MDPI (2022)

Applications and Industrial Relevance

  • Biotechnology: Recombinant SODCC is used in antioxidant therapies, cosmetics, and agricultural biofortification to enhance stress tolerance .

  • Research Tool: Serves as a model for studying oxidative stress mechanisms in conifers, which face unique environmental challenges .

Challenges and Future Directions

  • Metal Loading: Recombinant SODCC often requires chaperones (e.g., CCS) for proper Cu/Zn incorporation, complicating large-scale production .

  • Functional Redundancy: Co-expression with Fe-SOD and Mn-SOD necessitates systems-level studies to delineate isoform-specific roles .

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format, but if you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs by default. For dry ice shipment, please contact us in advance; additional fees will apply.
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 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 the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
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
1-154
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Pinus sylvestris (Scots pine)
Target Names
SODCC
Target Protein Sequence
MGLLKAVVVL NGAADVKGVV QFTQEGDGPT TVTGKISGLS PGLHGFHVHA LGDTTNGCMS TGPHFNPLGK EHGAPTDDNR HAGDLGNVTV GTDGTVEFSI TDSQIPLSGP HSIVGRAVVV HADPDDLGKG GHELSKSTGN AGGRLACGVV GLQG
Uniprot No.

Target Background

Function
Neutralizes radicals normally produced within cells that are toxic to biological systems.
Protein Families
Cu-Zn superoxide dismutase family
Subcellular Location
Cytoplasm.

Q&A

What is the role of Superoxide dismutase [Cu-Zn] (SODCC) in Pinus sylvestris defense mechanisms?

Superoxide dismutase [Cu-Zn] (SODCC) functions as a critical antioxidant enzyme in Pinus sylvestris that catalyzes the dismutation of superoxide radicals (O₂⁻) to hydrogen peroxide and molecular oxygen, forming an essential component of the plant's defense against oxidative stress. Similar to other stress-response proteins in Scots pine such as lipid transfer proteins (LTPs), SODCC expression likely changes in response to various environmental stressors. Research on pine stress responses indicates that Scots pine has developed complex defense mechanisms against both biotic and abiotic stressors, with antioxidant enzymes playing crucial roles in protecting cellular components from reactive oxygen species damage .

The constitutive expression patterns of defensive proteins in Scots pine tissues suggest that SODCC would be expressed in various vegetative organs (roots, needles, stem) with tissue-specific regulation patterns. The expression likely increases during contact with pathogens and under abiotic stress conditions such as drought, salinity, extreme temperatures, and heavy metal exposure, similar to the patterns observed with Scots pine lipid transfer protein genes .

How is recombinant Pinus sylvestris SODCC typically produced for research purposes?

Recombinant Pinus sylvestris SODCC can be produced using heterologous expression systems similar to methods employed for other pine proteins. Based on documented approaches for recombinant pine protein production, the process typically involves:

  • Gene isolation and sequencing from pine tissue samples (such as seedlings)

  • Cloning the SODCC gene into an appropriate expression vector

  • Transformation of a suitable host (commonly Escherichia coli)

  • Protein expression induction

  • Purification using affinity chromatography techniques

For instance, the methodology used for producing recombinant Scots pine lipid transfer protein (recPsLTP1) in E. coli systems provides a viable template. This process resulted in a purified recombinant protein with a molecular weight of approximately 11 kDa and an isoelectric point of 8.2, which maintained functional activity . Similar approaches would be applicable for SODCC, with potential adaptations for metal cofactor incorporation (copper and zinc), which is essential for enzyme activity.

What methods are established for measuring SODCC activity in pine samples?

Standard methods for measuring Superoxide dismutase [Cu-Zn] (SODCC) activity in Pinus sylvestris samples include:

  • Spectrophotometric assays:

    • Nitroblue tetrazolium (NBT) reduction method

    • Cytochrome c reduction inhibition assay

    • Pyrogallol autoxidation inhibition assay

  • Native polyacrylamide gel electrophoresis with activity staining:

    • Separation of proteins under non-denaturing conditions

    • Activity visualization using NBT and riboflavin

    • Identification of specific isoforms through differential inhibition

When analyzing pine tissues, several methodological considerations are important:

  • Pine tissues contain compounds that can interfere with enzyme assays, requiring optimized extraction buffers

  • Sample processing should be performed at low temperatures to preserve enzyme activity

  • Multiple independent biological replicates are needed due to natural variation in pine populations

  • Different tissues (needles, roots, bark) may require specific extraction protocols

Research approaches similar to those used for studying other stress-related proteins in Scots pine can be adapted for SODCC activity determination .

How should experiments be designed to study SODCC expression under various stress conditions?

When designing experiments to study SODCC expression in Pinus sylvestris under different stress conditions, several key considerations should be incorporated:

  • Experimental controls and replication:

    • Include untreated controls for each time point

    • Implement biological replicates (minimum 3-5 independent samples)

    • Consider technical replicates for gene expression analyses

    • Use positive controls (plants treated with known oxidative stress inducers)

  • Stress application protocols:

    • For abiotic stressors (drought, salinity, extreme temperatures), standardize the intensity and duration

    • For biotic stress, use well-characterized pathogen strains with standardized inoculation methods

    • Consider applying stress hormones (jasmonic acid, salicylic acid, abscisic acid) as demonstrated effective for studying pine stress responses

    • Document detailed metadata about experimental conditions

  • Sampling strategy:

    • Select appropriate tissues based on research question (needles, roots, bark)

    • Implement a time-course design to capture both early and late responses

    • Consider developmental stage of the plant material (seedling vs. mature trees)

    • Use consistent sampling procedures to minimize variation

  • Expression analysis techniques:

    • Employ RT-PCR or qPCR with validated reference genes

    • Consider protein-level analysis (Western blotting, enzyme activity assays)

    • Include post-transcriptional regulation studies when possible

Research on pine lipid transfer proteins has shown that expression of defense-related genes changes significantly during contact with fungal pathogens such as Fusarium solani, Alternaria alternata, and Heterobasidion annosum, as well as under abiotic stress conditions including salinity, extreme temperatures, and drought . Similar experimental designs would be appropriate for SODCC studies.

What approaches can determine structural characteristics of Pinus sylvestris SODCC?

To investigate the structural characteristics of Pinus sylvestris SODCC, researchers can employ several complementary approaches:

  • Sequence analysis and bioinformatics:

    • Multiple sequence alignment with SODs from other species

    • Phylogenetic analysis to determine evolutionary relationships

    • Identification of conserved domains and pine-specific variations

    • In silico prediction of 3D structure using homology modeling

  • Protein structure determination:

    • X-ray crystallography of purified recombinant SODCC

    • Nuclear Magnetic Resonance (NMR) spectroscopy for solution structure

    • Circular dichroism (CD) spectroscopy to analyze secondary structure elements

    • Differential scanning calorimetry for thermal stability analysis

  • Structural modeling approaches:

    • Similar to methods used for Scots pine LTP proteins, which enabled 3D structure modeling through homology with known structures

    • Identification of conserved structural elements, such as the metal-binding sites essential for catalytic activity

The structural analysis of recombinant Pinus sylvestris LTP1 successfully revealed a structure consisting of 4 α-helices with eight conserved cysteines and specific conserved domains required for molecular binding . Similar structural characterization approaches would be applicable to SODCC, with special attention to the metal-binding sites that coordinate copper and zinc ions essential for enzymatic function.

What are the most effective methods for analyzing SODCC gene expression data?

For analyzing SODCC gene expression data in Pinus sylvestris, researchers should implement:

  • Normalization strategies:

    • Selection of stable reference genes for qPCR data normalization

    • Use of multiple reference genes rather than a single housekeeping gene

    • Implementation of algorithms like geNorm or NormFinder to identify optimal reference genes for pine tissues

  • Statistical analysis approaches:

    • ANOVA or mixed models for comparing expression across multiple conditions

    • Non-parametric tests when data violate normality assumptions

    • Correction for multiple testing when examining multiple genes or conditions

    • Time-series analysis for studying expression dynamics

  • Visualization techniques:

    • Heat maps for comparing expression across multiple genes and conditions

    • Line graphs with error bars for time-course studies

    • Box plots to visualize distribution of expression values across treatments

Studies on pine stress-response genes have shown that expression analysis using semi-quantitative PCR can effectively demonstrate differential regulation under various conditions . For SODCC studies, quantitative PCR would provide more precise quantification of expression changes. Research on pine LTP genes demonstrated that different gene family members show distinct expression patterns in response to stressors, with some more responsive to salicylic acid pathways and others to jasmonic acid or ABA-dependent pathways . Similar pathway-specific regulation may occur with SODCC genes.

How does SODCC expression compare with other antioxidant enzymes during stress?

The expression patterns of SODCC in Pinus sylvestris likely follow coordinated regulation with other components of the antioxidant defense system, with some key patterns:

  • Tissue-specific expression patterns:

    • Constitutive expression in multiple tissues, similar to LTP genes that show expression in roots, hypocotyls, cotyledons, bark, needles, and vegetative buds

    • Potentially higher expression in photosynthetic tissues due to ROS generation during photosynthesis

    • Different expression patterns in reproductive structures compared to vegetative tissues

  • Stress-specific regulation:

    • Differential response to abiotic stressors (temperature extremes, drought, salinity)

    • Unique expression patterns in response to different pathogen types

    • Coordinated expression with other antioxidant enzymes (catalase, peroxidases)

  • Temporal dynamics:

    • Early upregulation following stress exposure

    • Potential biphasic expression patterns during prolonged stress

    • Different recovery patterns compared to other antioxidant enzymes

How do heavy metals affect SODCC gene expression in Pinus sylvestris?

Heavy metal exposure likely has significant effects on SODCC gene expression in Pinus sylvestris, based on observed patterns with other stress-response genes in this species:

  • Metal-specific responses:

    • Differential effects depending on metal type (copper, cadmium, cobalt, zinc, chromium)

    • Dose-dependent expression changes

    • Potential hormetic responses at low concentrations

  • Observed patterns from related research:

    • Studies on pine LTP genes demonstrated that heavy metal ions in salt complexes significantly affected transcription levels in pine seedlings

    • Copper and cobalt ions showed strong stimulatory effects on some pine genes (PsLTP-B and PsLTP-D)

    • Other metals like chromium, zinc, and cadmium produced different expression patterns for different genes

  • Transgenerational effects:

    • Research has shown that the growth conditions of the maternal pine tree affect gene expression in seedlings

    • Expression of stress-response genes was higher in seedlings from contaminated territories

    • This suggests epigenetic or seed-provisioning effects that influence stress response

For SODCC research, similar metal-specific responses would be expected, with the added complexity that copper is also a cofactor for Cu-Zn SOD enzymes. This dual role of copper as both a potential stressor and an essential cofactor may result in complex expression patterns depending on concentration and exposure conditions.

What are the challenges in isolating active recombinant SODCC from Pinus sylvestris?

Isolating active recombinant SODCC from Pinus sylvestris presents several technical challenges:

  • Codon optimization issues:

    • Conifer genes often have codon usage patterns that differ from common expression hosts

    • Optimization for E. coli or other expression systems may be necessary

  • Metal incorporation:

    • Proper incorporation of copper and zinc ions is essential for SODCC activity

    • Expression systems may require supplementation with metal ions

    • Post-purification metal reconstitution may be necessary

  • Protein solubility:

    • Risk of inclusion body formation in bacterial expression systems

    • Need for optimized expression conditions (temperature, induction parameters)

    • Potential requirement for solubility-enhancing fusion tags

  • Post-translational modifications:

    • Plant-specific modifications may be absent in prokaryotic systems

    • Evaluation of whether modifications are essential for the research question

    • Consideration of eukaryotic expression alternatives

Successful recombinant protein production has been achieved with pine lipid transfer proteins using E. coli expression systems, resulting in functional proteins with preserved biological activity . These established protocols provide a starting point for SODCC expression, though additional optimization would be required to address the specific challenges of this metalloenzyme.

How can SODCC be used to enhance stress resistance in pine trees?

SODCC offers potential applications for enhancing stress resistance in Pinus sylvestris through several approaches:

  • Marker-assisted selection:

    • Identification of SODCC gene variants associated with enhanced stress tolerance

    • Development of molecular markers for screening germplasm

    • Selection of naturally stress-resistant genotypes for breeding programs

  • Genetic engineering approaches:

    • Overexpression of native or enhanced SODCC genes

    • Introduction of SODCC variants with improved properties

    • Coordinated enhancement of multiple antioxidant system components

  • Application contexts:

    • Development of pine varieties suitable for reforestation of environmentally challenged areas

    • Creation of buffer zones with enhanced disease resistance

    • Adaptation to climate change impacts

    • Remediation of sites contaminated with heavy metals or industrial waste

Research on pine defense genes indicates that "increasing the trees' resistance to pests and microbial pathogens is one of the main goals in plant genetic engineering programs" and that defense-related genes like SODCC could be used "in the development of specific molecular genetic approaches for the design and cultivation of genetically improved, biologically stable genotypes of Scots pine" . These approaches could enable afforestation of areas currently unsuitable for pine growth due to environmental stressors.

How can researchers address genetic variability when studying SODCC across pine populations?

Addressing the high genetic variability of Pinus sylvestris when studying SODCC across different populations requires systematic approaches:

  • Sampling strategies:

    • Implement stratified sampling across defined geographic regions

    • Include sufficient biological replicates within populations (minimum 10-15 individuals)

    • Document detailed metadata about collection sites (soil conditions, climate, elevation)

    • Consider the distribution range of Scots pine, which extends from Spain in the west to eastern Russia, and from northern Scandinavia to southern mountain ranges

  • Genetic characterization:

    • Sequence SODCC genes from multiple individuals per population

    • Identify and characterize genetic variants

    • Analyze population structure to account for historical factors

  • Experimental designs:

    • Common garden experiments to distinguish genetic from environmental effects

    • Reciprocal transplant studies to assess local adaptation

    • Controlled environment studies with genotypes from different populations

  • Statistical approaches:

    • Use mixed models with population as a random effect

    • Implement nested designs to partition variance components

    • Consider spatial autocorrelation in analyses of geographic patterns

How might climate change impact SODCC function in Pinus sylvestris forests?

Climate change is likely to significantly impact SODCC function in Pinus sylvestris, requiring focused research to understand:

  • Potential impacts on SODCC function:

    • Altered expression patterns under elevated temperatures

    • Changed enzymatic activity under novel climate conditions

    • Shifts in the balance between ROS production and antioxidant protection

    • Population-specific responses based on local adaptation

  • Research approaches to address this question:

    • Controlled environment studies simulating predicted climate scenarios

    • Field studies across climatic gradients representing future conditions

    • Common garden experiments with populations from diverse climates

    • Long-term monitoring of antioxidant enzyme activity in forest stands

  • Ecological implications:

    • Under warming climate conditions, Scots pine is predicted to increase its presence in northern regions but decline in southern parts of its range

    • SODCC function may be a factor in determining which populations can adapt to new conditions

    • Changes in pathogen and pest pressure under climate change may alter the importance of SODCC-mediated defense mechanisms

Understanding SODCC responses to climate factors will be critical for predicting Scots pine forest resilience, especially considering that this species occupies ecologically diverse habitats and serves as a pioneer species in many ecosystems .

What interdisciplinary approaches can advance SODCC research in forestry applications?

Advancing SODCC research in forestry applications requires interdisciplinary collaboration across several domains:

  • Molecular biology & forestry integration:

    • Application of molecular tools in forest management practices

    • Development of SODCC-based markers for selecting resilient planting stock

    • Translation of laboratory findings to practical forestry applications

  • Ecophysiology & genetics partnerships:

    • Linking SODCC function to whole-tree performance under stress

    • Understanding genotype-environment interactions affecting antioxidant systems

    • Developing predictive models for stress response based on genetic information

  • Biotechnology & conservation biology:

    • Development of tools for monitoring forest health using SODCC markers

    • Integration of SODCC research into conservation strategies for threatened pine populations

    • Application of findings for forest restoration in degraded environments

  • Practical forestry applications:

    • Development of screening methods for nursery stock selection

    • Creation of management guidelines for enhancing forest resilience

    • Implementation of planting recommendations based on SODCC research

Interdisciplinary approaches are particularly valuable given that Scots pine is both commercially and culturally important in numerous European countries, especially in northern regions . Research on pine defense proteins has demonstrated potential applications "for the design and cultivation of genetically improved, biologically stable genotypes of Scots pine" and for afforestation of areas affected by unfavorable growth conditions .

How can researchers combine field and laboratory studies for comprehensive SODCC research?

Effectively combining field studies and laboratory experiments to understand SODCC function in Pinus sylvestris requires strategic integration:

  • Coordinated experimental design:

    • Use the same genetic material for parallel field and laboratory studies

    • Validate laboratory findings in field settings

    • Test field observations under controlled laboratory conditions

    • Employ common response variables and measurement techniques across settings

  • Intermediate approaches:

    • Establish common garden experiments as a bridge between lab and field

    • Use potted studies with field soil to maintain microbiome interactions

    • Implement field-based mesocosm experiments with controlled variables

    • Deploy controlled environment chambers at field sites

  • Methodological considerations:

    • Develop standardized sampling protocols applicable in both settings

    • Establish preservation methods for field-collected samples

    • Create field-deployable assays for preliminary SODCC activity assessment

    • Implement consistent nucleic acid and protein extraction protocols

  • Research questions suited to combined approaches:

    • How do laboratory-observed SODCC responses translate to natural conditions?

    • What environmental factors modify SODCC expression in natural settings?

    • How does genetic variation in SODCC manifest across different environments?

    • What is the relationship between SODCC activity and pine fitness in the field?

This integrated approach acknowledges that Scots pine grows in diverse habitats ranging from acid highland moors to varied forest ecosystems across Europe, where it associates with numerous other tree species including oaks, beech, birch, spruce, larch, fir, and other pines . Understanding SODCC function across this ecological diversity requires complementary field and laboratory investigations.

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