Recombinant Picea sitchensis Cytochrome P450 716B2 (CYP716B2) is a protein derived from the Sitka spruce (Picea sitchensis), a species known for its robust chemical defenses against pathogens and herbivores. This enzyme belongs to the cytochrome P450 family, which plays a crucial role in various biochemical pathways, including the metabolism of terpenoids and other secondary metabolites. The recombinant form of CYP716B2 is produced in E. coli and is His-tagged for easy purification and identification.
CYP716B2 is involved in several biochemical pathways, contributing to the synthesis and modification of terpenoids and other secondary metabolites. These pathways are crucial for plant defense mechanisms and adaptation to environmental stresses. While specific functions of CYP716B2 are not fully detailed, its involvement in terpenoid metabolism suggests a role in producing compounds that contribute to the plant's resistance against pathogens and pests.
| Pathway Name | Related Proteins |
|---|---|
| Terpenoid Biosynthesis | Terpene Synthases (TPS) |
| Secondary Metabolism | Various Cytochrome P450 enzymes |
Research on CYP716B2 is part of broader studies on plant defense mechanisms and the biosynthesis of terpenoids. For instance, studies on Sitka spruce have highlighted the importance of terpenoids like (+)-3-carene in resistance against pests such as the white pine weevil . While CYP716B2's specific role in these processes is not extensively documented, its involvement in similar pathways suggests potential applications in biotechnology and plant breeding for enhanced resistance traits.
| Application Area | Description |
|---|---|
| Plant Breeding | Enhancing resistance traits in plants through genetic modification. |
| Biotechnology | Developing novel compounds for pest control and plant protection. |
CYP716B2 (Q50EK0) and CYP716B1 (Q50EK1) are closely related Cytochrome P450 enzymes in Sitka spruce with high sequence similarity. Key differences include:
Sequence variations: While both proteins share high similarity, CYP716B1 is 493 amino acids long compared to CYP716B2's 497 amino acids.
Functional differences: Though detailed comparative functional analysis is limited in available literature, these proteins likely have overlapping but distinct substrate specificities and catalytic efficiencies.
Nomenclature: CYP716B2 is alternatively known as Cytochrome P450 CYPA2, while CYP716B1 is alternatively known as Cytochrome P450 CYPA1 .
Their structural variations, even if minor, may contribute to different roles in terpenoid biosynthesis pathways, which are critical for plant defense mechanisms in conifers.
For optimal expression of recombinant CYP716B2 in E. coli systems, researchers should consider the following methodology:
Expression system selection: The protein has been successfully expressed in E. coli with an N-terminal His-tag fusion .
Vector design: Incorporate the full-length sequence (1-497 amino acids) with an N-terminal His-tag for purification efficiency.
Growth conditions:
Culture medium: Rich media such as LB or TB with appropriate selection antibiotics
Induction: IPTG induction at OD600 of 0.6-0.8
Temperature: Lower temperatures (16-20°C) post-induction may improve protein folding
Purification approach: Immobilized metal affinity chromatography (IMAC) using Ni-NTA columns to capture the His-tagged protein.
Quality control: Assess purity using SDS-PAGE (>90% purity should be achievable) .
The recombinant protein should be stored in Tris/PBS-based buffer with 6% trehalose at pH 8.0 for optimal stability .
Maintaining the stability of purified recombinant CYP716B2 requires careful attention to several factors:
Storage buffer composition:
Storage temperature protocol:
Reconstitution procedure:
Stability considerations:
CYP716B2 appears to be part of the chemical defense system in Sitka spruce (Picea sitchensis) against the white pine weevil (Pissodes strobi). The involvement can be understood through several mechanisms:
Terpene biosynthesis: Cytochrome P450 enzymes in conifers are involved in terpene biosynthesis, which produces defensive compounds in oleoresin .
Inducible defense responses: Upon weevil attack, resistant Sitka spruce genotypes show induced formation of traumatic resin ducts, which may involve CYP-mediated reactions .
Monoterpene production: Research has particularly highlighted the association between resistance and certain monoterpenes. For example, (+)-3-carene is significantly higher in resistant Sitka spruce genotypes and is associated with resistance against the white pine weevil. Biosynthesis of this compound involves terpene synthases and possibly modifying enzymes like cytochrome P450s .
Tissue-specific expression: CYP716B2 expression may be upregulated in the leader tissue of resistant trees, contributing to the chemical profile that deters weevil feeding and reproduction .
The enzyme likely participates in the conversion or modification of terpenoids that create the specific chemical profile associated with resistance against the white pine weevil in certain Sitka spruce genotypes.
To assess CYP716B2 activity in terpenoid biosynthesis, researchers can employ several methodological approaches:
In vitro enzyme assays:
Genetic manipulation approaches:
Metabolomic analysis:
Transcriptome-proteome correlation:
This multi-faceted approach can provide comprehensive insights into the enzymatic function of CYP716B2 in terpenoid biosynthesis pathways relevant to plant defense.
Designing experiments to determine substrate specificity of CYP716B2 requires a systematic approach combining biochemical, analytical, and computational methods:
Substrate screening methodology:
Prepare a library of potential substrates including various terpenes (monoterpenes, sesquiterpenes, diterpenes)
Conduct high-throughput enzyme assays with purified recombinant CYP716B2
Monitor conversion rates using LC-MS, GC-MS, or coupled spectrophotometric assays
Create a substrate preference profile based on relative activity levels
Structure-activity relationship analysis:
Test structurally related compounds to identify essential molecular features for recognition
Perform competitive inhibition assays to determine binding affinities
Use site-directed mutagenesis of key residues in the enzyme's active site to confirm interactions
Computational prediction approaches:
Perform homology modeling based on structurally characterized plant P450s
Conduct molecular docking simulations with potential substrates
Use molecular dynamics to simulate enzyme-substrate interactions
In vivo validation experiments:
This comprehensive approach will establish not only which compounds serve as substrates but also the relative efficiency of the enzyme toward different substrate classes.
To study transcriptional regulation of CYP716B2 in response to pest attack, researchers should implement the following methodological approaches:
Time-course expression analysis:
Subject Sitka spruce seedlings to controlled white pine weevil exposure or mechanical damage
Collect tissue samples at defined intervals (e.g., 2, 5, 10, 15, and 22 days post-treatment)
Extract RNA and perform RT-qPCR targeting CYP716B2
Include reference genes for normalization and resistant/susceptible genotypes for comparison
Promoter analysis and regulation:
Isolate the CYP716B2 promoter region (approximately 2kb upstream of transcription start site)
Identify putative regulatory elements using bioinformatic tools
Create promoter-reporter gene constructs (e.g., GUS or luciferase)
Test promoter activity in transiently transformed tissues upon pest exposure or treatment with defense-related hormones (jasmonic acid, ethylene)
Chromatin immunoprecipitation (ChIP) analysis:
Identify transcription factors potentially involved in pest-induced expression
Perform ChIP followed by qPCR or sequencing to identify protein-DNA interactions
Validate interactions with electrophoretic mobility shift assays (EMSA)
Comparative analysis between resistant and susceptible genotypes:
This multi-faceted approach will provide insights into how CYP716B2 transcription is regulated in response to pest attack and how this regulation differs between resistant and susceptible Sitka spruce genotypes.
Research comparing resistant and susceptible Sitka spruce genotypes reveals important correlations between CYP716B2 expression and monoterpene profiles:
Expression patterns and monoterpene correlation:
Temporal dynamics of expression and monoterpene production:
Upon weevil attack, monoterpene profiles remain relatively stable over a 22-day period, though some compounds show dynamic changes
(+)-3-carene, a compound associated with resistance, decreases significantly at days 15 and 22 in resistant genotypes exposed to weevil feeding, possibly due to volatilization from feeding sites exceeding the rate of biosynthesis
Quantitative differences in terpene composition:
| Compound | Resistant Genotype | Susceptible Genotype | Association with Resistance |
|---|---|---|---|
| (+)-3-carene | High levels | Trace or undetectable | Strong positive correlation |
| (+)-α-pinene | Present | Present | No clear correlation |
| (−)-limonene | Present | Present | No clear correlation |
| (+)-sabinene | Present | Present | No clear correlation |
Functional implications:
This correlation between enzyme expression and monoterpene profiles provides insights into the molecular basis of resistance against the white pine weevil in Sitka spruce.
To compare CYP716B2 function across different conifer species, researchers should employ a comprehensive comparative analysis approach:
Phylogenetic analysis and sequence comparison:
Identify CYP716B2 orthologs from multiple conifer species using bioinformatic tools
Construct phylogenetic trees to visualize evolutionary relationships
Calculate sequence identity/similarity percentages
Identify conserved domains and variable regions that may confer species-specific functions
Heterologous expression and functional characterization:
Metabolomic profiling:
Analyze terpenoid profiles from different conifer species with known CYP716B2 variants
Correlate metabolite abundance with CYP716B2 sequence variations
Perform correlation network analysis to identify species-specific metabolic pathways
Transcriptomic analysis:
Cross-species complementation:
Express CYP716B2 from one species in another species or model plant
Assess changes in metabolite profiles and resistance phenotypes
Determine functional conserved and divergent aspects of the enzyme
This multi-faceted approach will provide insights into how CYP716B2 function has evolved across conifer species and its role in species-specific defense mechanisms.
The evolution of CYP716B2 in relation to pest pressure in Sitka spruce populations reveals important insights into plant-insect coevolution:
Genetic variation patterns:
Certain Sitka spruce populations (e.g., from Haney and Squamish areas) show fewer than average weevil attacks despite being in high-weevil-hazard areas, suggesting localized evolution of resistance
Resistant genotypes like H898 represent extreme resistance in an otherwise highly susceptible species
This suggests that strong selection pressure from the white pine weevil has driven the evolution of resistance traits in specific populations
Molecular evolution mechanisms:
Selection pressures:
Understanding these evolutionary patterns can provide insights into the molecular basis of adaptation and guide breeding programs for developing weevil-resistant Sitka spruce varieties.
Investigating the role of CYP716B2 in climate adaptation mechanisms requires an integrative approach combining molecular, physiological, and ecological methods:
Geographic analysis of genetic variation:
Climate chamber experiments:
Expose resistant and susceptible genotypes to controlled climate conditions
Monitor CYP716B2 expression and enzymatic activity under various temperature and moisture regimes
Analyze changes in terpenoid profiles in response to climate variables
Test interactions between climate factors and pest resistance
Seasonal expression profiling:
Systems biology approach:
This methodology can reveal how CYP716B2 functions not only in pest resistance but potentially also in broader climate adaptation mechanisms, particularly considering evidence of its involvement in processes like freezing acclimation in Sitka spruce.
Expressing active CYP716B2 presents several technical challenges that require careful troubleshooting:
Poor expression levels:
Challenge: CYP450 proteins often express poorly in bacterial systems
Solution: Optimize codon usage for E. coli, use specialized strains (e.g., Rosetta, Arctic Express), or try alternative expression systems like yeasts or insect cells
Validation: Confirm expression levels via western blot using anti-His tag antibodies
Protein misfolding and inclusion body formation:
Challenge: Membrane-associated CYPs frequently misfold in heterologous systems
Solution: Lower induction temperature (16-18°C), reduce inducer concentration, co-express molecular chaperones, or use solubilization tags (SUMO, thioredoxin, GST)
Validation: Perform solubility analysis comparing total vs. soluble fractions
Loss of heme incorporation:
Challenge: Proper heme incorporation is essential for activity
Solution: Supplement growth medium with δ-aminolevulinic acid (ALA), add hemin during induction, ensure sufficient iron availability
Validation: Measure CO-difference spectra to confirm proper heme incorporation
Instability during purification:
Challenge: CYP enzymes often lose activity during purification
Solution: Include glycerol (20-50%) and reducing agents in all buffers, minimize time at room temperature, use disposable columns to reduce processing time
Validation: Perform activity assays at each purification step to track retention of function
Storage stability issues:
Implementing these strategies can significantly improve the yield and activity of recombinant CYP716B2.
Identifying specific substrates for CYP716B2 presents significant challenges that can be addressed through a systematic multi-technique approach:
Untargeted metabolomic screening:
Challenge: The natural substrate(s) of CYP716B2 remain unidentified
Approach: Perform comparative metabolomics between tissues/genotypes with different CYP716B2 expression levels
Method: Use LC-MS/MS or GC-MS with untargeted analysis to identify compounds that correlate with CYP716B2 expression
Validation: Confirm metabolite identities using authentic standards
Activity-guided fractionation:
Challenge: Complex plant extracts contain numerous potential substrates
Approach: Create biochemical activity assays using recombinant CYP716B2
Method: Fractionate plant extracts and test each fraction for substrate activity, progressively narrowing down to individual compounds
Validation: Confirm activity with purified compounds and determine kinetic parameters
Substrate candidate prediction:
Challenge: The substrate scope is potentially very broad
Approach: Use structural modeling and docking simulations to predict likely substrates
Method: Create a homology model of CYP716B2 based on crystallized plant P450s, then perform in silico docking with terpenoid libraries
Validation: Test top-ranking candidates in vitro with the recombinant enzyme
Comparative genomic approaches:
Challenge: Limited functional annotation of plant P450s
Approach: Identify functionally characterized homologs in other species
Method: Perform phylogenetic analysis of CYP716 family and identify the most closely related enzymes with known substrates
Validation: Test the identified substrate classes with recombinant CYP716B2
Pathway reconstruction:
Challenge: CYP716B2 likely functions within a complex biosynthetic pathway
Approach: Reconstruct the relevant pathways in heterologous systems
Method: Co-express CYP716B2 with potential pathway partners in yeast or tobacco
Validation: Analyze the resulting metabolite profiles to identify pathway intermediates and products
This comprehensive approach maximizes the chances of identifying the physiological substrates of CYP716B2 and placing the enzyme within its correct metabolic context.
The potential applications of CYP716B2 in conifer improvement programs are significant and multifaceted:
Pest resistance enhancement:
Approach: Introducing or upregulating CYP716B2 in susceptible Sitka spruce genotypes to enhance resistance against white pine weevil
Potential impact: Could allow reintroduction of commercially valuable Sitka spruce to its native range in coastal British Columbia, where it is currently limited by weevil susceptibility
Implementation strategy: Use marker-assisted selection to identify natural variants with enhanced CYP716B2 expression or function
Forest restoration and climate adaptability:
Approach: Integrating CYP716B2 markers into selection programs for more resilient forest trees
Potential impact: Development of trees with enhanced defense capabilities against multiple stressors (pests, pathogens, climate extremes)
Implementation strategy: Screen diverse populations to identify beneficial CYP716B2 variants that correlate with multiple stress tolerance traits
Metabolic engineering of defense compounds:
Biomarker development:
The integration of CYP716B2 knowledge into tree improvement programs could significantly enhance forest resilience and productivity in the face of increasing biotic and abiotic stresses.
To elucidate the role of CYP716B2 within the broader terpenoid biosynthesis network, several experimental approaches should be prioritized:
Multi-omics integration:
Approach: Combine transcriptomics, proteomics, and metabolomics data to place CYP716B2 in its pathway context
Methodology: Apply network analysis tools like ALPINE (Automated Layout Pipeline for Inferred NEtworks) to visualize and analyze integrated datasets
Expected outcome: Identification of co-regulated genes, proteins, and metabolites that function together with CYP716B2
CRISPR-based genome editing:
Approach: Create precise knockouts or modifications of CYP716B2 in conifer tissue culture systems
Methodology: Develop optimized delivery methods for CRISPR-Cas9 components into conifer tissues
Expected outcome: Definitive assessment of CYP716B2's role in terpenoid production and pest resistance
Protein-protein interaction studies:
Approach: Identify proteins that physically interact with CYP716B2
Methodology: Apply techniques such as yeast two-hybrid, co-immunoprecipitation, or proximity labeling
Expected outcome: Discovery of metabolic complexes or regulatory proteins that influence CYP716B2 function
Subcellular localization studies:
Comparative analysis across resistant genotypes:
These prioritized approaches would significantly advance our understanding of how CYP716B2 functions within the complex terpenoid biosynthesis network of conifers and could reveal new strategies for enhancing tree resistance to pests and environmental stressors.