Recombinant Hordeum vulgare Cytochrome b6-f complex subunit 4 (petD)

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Product Specs

Form
Lyophilized powder
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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can serve as a reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
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Synonyms
petD; Cytochrome b6-f complex subunit 4; 17 kDa polypeptide
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-160
Protein Length
full length protein
Species
Hordeum vulgare (Barley)
Target Names
petD
Target Protein Sequence
MGVTKKPDLNDPVLRAKLAKGMGHNYYGEPAWPNDLLYIFPVVILGTIACNVGLAVLEPS MIGEPADPFATPLEILPEWYFFPVFQILRTVPNKLLGVLLMVSVPTGLLTVPFLENVNKF QNPFRRPVATTVFLIGTVVALWLGIGATLPIDKSLTLGLF
Uniprot No.

Target Background

Function

Component of the cytochrome b6-f complex. This complex mediates electron transfer between photosystem II (PSII) and photosystem I (PSI), cyclic electron flow around PSI, and state transitions.

Protein Families
Cytochrome b family, PetD subfamily
Subcellular Location
Plastid, chloroplast thylakoid membrane; Multi-pass membrane protein.

Q&A

What are the most effective methods for genetic transformation of Hordeum vulgare for petD expression?

The most widely adopted and effective method for genetic transformation of Hordeum vulgare is Agrobacterium-mediated transformation using immature embryos as explants. This approach allows for the integration of the foreign target gene (in this case, petD) into the barley genome . For optimal transformation efficiency:

  • Harvest immature embryos at 14-16 days post-anthesis

  • Co-cultivate with Agrobacterium tumefaciens carrying your petD expression construct

  • Use selection markers appropriate for barley (commonly hygromycin or phosphinothricin resistance)

  • Regenerate plants on media containing the appropriate selective agent

  • Verify transformation through PCR and expression analysis

Alternative methodologies include biolistic transformation and DNA-free methods such as CRISPR/Cas9 ribonucleoproteins (RNPs), which can be advantageous when regulatory concerns arise regarding the integration of foreign DNA .

How can I optimize vector construction for efficient petD expression in barley?

For optimal vector construction to express recombinant petD in barley, consider the following methodological approach:

  • Select a promoter optimized for barley expression (HvGlb1 or Ubi1 promoters show high expression in endosperm)

  • Include appropriate targeting sequences if localization to chloroplasts is desired (native petD is chloroplast-encoded)

  • Optimize codon usage for nuclear expression in barley

  • Include appropriate terminator sequences (Nos or 35S terminators are commonly used)

  • Consider including untranslated regions (UTRs) that enhance mRNA stability

When designing your construct, it's important to consider the unfolded protein response (UPR) that may be triggered by high levels of recombinant protein expression. Research indicates that manipulating UPR-related genes can positively affect recombinant protein accumulation in barley .

What selection strategies are most effective for identifying transgenic barley expressing recombinant petD?

Effective selection of transgenic barley expressing recombinant petD requires a multi-tiered approach:

Primary Selection:

  • Antibiotic or herbicide selection (hygromycin, phosphinothricin, or kanamycin) based on resistance marker in your construct

  • Visual screening using reporter genes (GFP, GUS) if included in your construct

Secondary Molecular Verification:

  • PCR screening using primers specific to your construct

  • Southern blotting to verify integration and copy number

  • RT-PCR to confirm transcription of the recombinant petD gene

Protein Expression Verification:

  • Western blotting with anti-petD antibodies

  • Mass spectrometry to confirm protein identity

  • Activity assays to verify functional expression

Research has shown that multiple rounds of selection and careful screening are necessary to identify stable transgenic lines with consistent expression levels .

How can CRISPR/Cas9 technology be utilized to modify endogenous petD in barley?

CRISPR/Cas9 technology offers several sophisticated approaches for modifying endogenous petD in barley:

  • Gene Knockout: Design sgRNAs targeting specific regions of petD to create null mutations

  • Base Editing: Use CRISPR base editors to make precise nucleotide changes without double-strand breaks

  • Prime Editing: Employ prime editors for targeted insertions or deletions with minimal off-target effects

  • Gene Activation (CRISPRa): For studies requiring upregulation of endogenous petD, VPR technology, SAM technology, or Suntag technology can be employed

Methodological Considerations:

  • Design multiple sgRNAs to target conserved regions of petD

  • Use DNA-free delivery methods (RNPs) to reduce off-target effects and avoid transgene integration

  • Screen transformants using Illumina sequencing or T7 endonuclease assays to identify mutations

  • Backcross edited lines to remove potential off-target mutations

For DNA-free editing, pre-assembled ribonucleoproteins composed of purified Cas9 protein and sgRNAs can be delivered to immature embryos, avoiding integration of foreign DNA while reducing off-target effects .

What strategies can minimize the unfolded protein response when overexpressing recombinant petD?

To minimize the unfolded protein response (UPR) when overexpressing recombinant petD in barley, consider the following evidence-based strategies:

  • Co-expression with UPR-alleviating genes: Research indicates that manipulating UPR-related genes can positively affect recombinant protein accumulation. Specifically, glutathione S-transferase (GST) knockout and isopentenyl transferase (IPI) overexpression have been shown to increase recombinant protein expression .

  • Optimization of protein expression timing: Use promoters that activate during specific developmental stages to minimize stress on cellular machinery.

  • Subcellular targeting: Direct recombinant proteins to specific cellular compartments to reduce ER stress.

  • Modulation of PDI expression: Protein disulfide isomerase (PDI) knockout has been shown to affect protein body formation in barley endosperm, with protein becoming evenly distributed throughout endosperm cells .

Table 1: Effect of UPR-related gene manipulation on recombinant protein expression in barley

Gene ManipulationEffect on Recombinant ProteinExperimental Evidence
GST knockoutIncreased mLIF expression in F2 homozygous mutantsHomozygous GST knockout showed higher mLIF levels compared to wild-type offspring
IPI overexpressionSignificant increase in EGF expressionF1 crosses with IPI overexpression showed enhanced EGF accumulation
PDI knockoutAltered protein distribution in endospermDecreased protein body formation with protein evenly distributed in endosperm cells

How can I accurately assess the functional integrity of recombinant petD in transgenic barley?

Assessing the functional integrity of recombinant petD requires comprehensive analysis at multiple levels:

  • Spectroscopic analysis: Measure absorption spectra to confirm proper heme incorporation and folding

  • Membrane integration assays: Verify proper insertion into thylakoid membranes

  • Electron transport assays: Measure electron transfer rates between cytochrome b6-f components

  • Complex assembly analysis: Use blue native PAGE to assess proper integration into the cytochrome b6-f complex

  • Chlorophyll fluorescence measurements: Evaluate photosynthetic efficiency in transgenic plants

  • Oxygen evolution measurements: Quantify photosynthetic activity in isolated thylakoids

  • Stress response analysis: Test plant performance under various environmental conditions

It's crucial to compare transgenic lines with different expression levels to wild-type controls to establish a correlation between recombinant petD expression and functional outcomes.

What experimental designs are most appropriate for studying the effects of recombinant petD on photosynthetic efficiency?

When designing experiments to study the effects of recombinant petD on photosynthetic efficiency, consider the following methodological framework:

  • Experimental Groups:

    • Wild-type barley (negative control)

    • Transgenic lines with varying levels of recombinant petD expression

    • Positive controls (if available, lines with known alterations in photosynthetic efficiency)

  • Statistical Power Analysis:

    • Determine appropriate sample sizes to detect anticipated differences

    • Consider variability in photosynthetic measurements to ensure statistical significance

  • Measurement Parameters:

    • Chlorophyll fluorescence (Fv/Fm, NPQ, ETR)

    • Gas exchange measurements (CO2 assimilation, transpiration)

    • Biochemical analyses (ATP production, NADPH levels)

    • Growth parameters (biomass, grain yield)

  • Environmental Variables:

    • Test under optimal and stress conditions (light intensity, temperature, drought)

    • Include time-course measurements to capture developmental effects

Statistical Considerations:
When establishing trends in photosynthetic efficiency data, apply appropriate regression analysis. The sample size necessary to reject the null hypothesis (that there is no trend) at a given level of statistical significance depends critically on both the variability of the quantitative method used and the magnitude of expected change .

What approaches can be used to troubleshoot low expression levels of recombinant petD in barley?

When facing low expression levels of recombinant petD in barley, employ this systematic troubleshooting approach:

  • Vector Design Evaluation:

    • Verify promoter strength and specificity

    • Check codon optimization for barley expression

    • Evaluate signal peptides and targeting sequences

    • Confirm absence of cryptic splice sites or premature termination signals

  • Transformation Process Assessment:

    • Analyze transformation efficiency using reporter genes

    • Verify Agrobacterium strain compatibility with barley

    • Optimize co-cultivation conditions

    • Assess selection pressure stringency

  • Genetic Background Considerations:

    • Test multiple barley varieties for transformation competence

    • Consider crossing with lines that show higher recombinant protein expression

  • Post-transcriptional Factors:

    • Measure mRNA levels (qRT-PCR) to distinguish transcriptional from translational issues

    • Assess mRNA stability through time-course studies

    • Examine protein degradation rates using pulse-chase experiments

  • UPR Manipulation Strategies:

    • Cross with lines overexpressing IPI, which has shown a significant positive effect on recombinant protein accumulation

    • Consider GST knockout backgrounds, which have demonstrated increased recombinant protein expression

How can I design experiments to investigate the interaction between recombinant petD and endogenous photosynthetic complexes?

To investigate interactions between recombinant petD and endogenous photosynthetic complexes, implement the following experimental design strategies:

  • Co-immunoprecipitation Studies:

    • Use epitope-tagged recombinant petD

    • Precipitate with anti-tag antibodies

    • Identify interacting partners via mass spectrometry

    • Confirm interactions with reciprocal pull-downs

  • Blue Native PAGE Analysis:

    • Extract thylakoid membranes with mild detergents

    • Separate native complexes via BN-PAGE

    • Identify complex components through 2D gel electrophoresis

    • Compare complex assembly between wild-type and transgenic lines

  • Förster Resonance Energy Transfer (FRET):

    • Create fluorescent protein fusions with petD and potential interacting partners

    • Measure energy transfer as indication of proximity

    • Use acceptor photobleaching to confirm interactions

  • Split Ubiquitin Yeast Two-Hybrid Assays:

    • Specifically designed for membrane protein interactions

    • Test direct interactions between petD and other photosynthetic complex components

  • In vivo Confocal Microscopy:

    • Track GFP-tagged petD localization

    • Perform co-localization studies with other labeled complex components

    • Use fluorescence recovery after photobleaching (FRAP) to assess mobility

These approaches should be complemented with functional assays to correlate physical interactions with photosynthetic performance metrics.

What are the most sensitive methods for detecting and quantifying recombinant petD protein in barley tissues?

For optimal detection and quantification of recombinant petD in barley tissues, employ these advanced analytical methods:

  • LC-MS/MS Analysis:

    • Provides absolute quantification with high sensitivity

    • Can detect post-translational modifications

    • Enables distinction between recombinant and endogenous petD through unique peptide signatures

    • Limit of detection can reach femtomole levels

  • Multiple Reaction Monitoring (MRM):

    • Highly sensitive targeted mass spectrometry approach

    • Enables absolute quantification across large sample sets

    • Can be multiplexed to quantify multiple proteins simultaneously

  • Immunological Methods:

    • Develop specific antibodies against unique epitopes in the recombinant petD

    • Use ELISA for high-throughput quantification

    • Employ immunoblotting for size verification and semi-quantitative analysis

  • Proteomics Workflow:

    • Extract membrane proteins using specialized detergents

    • Enrich for chloroplast membrane fractions

    • Digest with appropriate proteases

    • Analyze using high-resolution mass spectrometry

When analyzing complex membrane proteins like petD, careful sample preparation is crucial. Use specialized membrane protein extraction buffers containing appropriate detergents (e.g., n-dodecyl-β-D-maltoside) to maintain native protein structure while ensuring efficient solubilization.

How can I analyze the impact of recombinant petD expression on the barley transcriptome and proteome?

To comprehensively analyze the impact of recombinant petD expression on barley transcriptome and proteome, implement this multi-omics approach:

Transcriptome Analysis:

  • Perform RNA-Seq on transgenic and wild-type barley under identical conditions

  • Use DESeq2 or EdgeR for differential expression analysis

  • Apply GO term enrichment and KEGG pathway analysis to identify affected biological processes

  • Validate key differential expression findings using qRT-PCR

Proteome Analysis:

  • Employ both gel-based (2D-DIGE) and gel-free (LC-MS/MS) proteomic approaches

  • Pay special attention to chloroplast and membrane proteins using specialized extraction methods

  • Use label-free quantification or TMT/iTRAQ labeling for relative quantification

  • Analyze post-translational modifications that may affect protein function

Integration of Multi-omics Data:

  • Correlate transcript and protein abundance changes

  • Identify discordant changes that suggest post-transcriptional regulation

  • Construct regulatory networks affected by recombinant petD expression

  • Use machine learning approaches to identify key markers of altered photosynthetic efficiency

Phenotypic Correlation:
For meaningful biological interpretation, correlate -omics findings with phenotypic measurements such as photosynthetic parameters, growth metrics, and stress responses.

What are the best approaches for analyzing the effect of environmental factors on recombinant petD functionality?

To effectively analyze environmental effects on recombinant petD functionality, implement this systematic experimental approach:

  • Controlled Environment Studies:

    • Design multifactorial experiments varying:

      • Light intensity and quality (PAR, red/far-red ratio)

      • Temperature (optimal and stress conditions)

      • Water availability (well-watered vs. drought)

      • Nutrient status (particularly nitrogen and iron)

    • Measure photosynthetic parameters under each condition:

      • Chlorophyll fluorescence parameters (Fv/Fm, NPQ, ETR)

      • Gas exchange measurements

      • Biochemical analyses of electron transport rates

  • Field Trials:

    • Conduct trials across multiple locations and growing seasons

    • Compare transgenic lines with wild-type controls under the same environmental conditions

    • Measure agronomic traits alongside physiological parameters

  • Statistical Analysis:

    • Use mixed-effects models to account for environmental variation

    • Apply power analysis to ensure adequate sample sizes for detecting environmental effects

    • Perform multivariate analysis to identify patterns across environmental conditions

  • Molecular Responses:

    • Analyze stress-response gene expression patterns in transgenic vs. wild-type plants

    • Measure reactive oxygen species levels under different environmental conditions

    • Assess protein turnover rates of recombinant petD under stress conditions

Table 2: Example experimental design for environmental factor analysis

Environmental FactorControl LevelStress Level 1Stress Level 2Measurements
Light intensity400 μmol m⁻² s⁻¹100 μmol m⁻² s⁻¹1000 μmol m⁻² s⁻¹Fv/Fm, ETR, NPQ, P700 oxidation, protein expression
Temperature22°C day/18°C night12°C day/8°C night35°C day/30°C nightPhotosynthetic rate, respiration, protein stability
Water availabilityField capacity50% field capacity25% field capacityWater potential, ABA levels, stomatal conductance
Nitrogen supplyOptimal (100%)Limited (25%)Excess (200%)Chlorophyll content, NUE, protein accumulation

What are the most promising strategies for enhancing recombinant petD stability and functionality in barley?

Based on current research findings, these strategies show the most promise for enhancing recombinant petD stability and functionality:

  • Genetic Background Optimization:

    • Cross transgenic lines with GST knockout mutants, which have shown increased recombinant protein accumulation

    • Introduce IPI overexpression, demonstrated to significantly increase recombinant protein expression

    • Consider PDI gene modifications to alter protein distribution patterns in target tissues

  • Advanced Genetic Engineering Approaches:

    • Apply CRISPR-based gene editing to modify endogenous factors affecting protein folding and stability

    • Use DNA-free gene editing technologies to make precise modifications without integration of foreign DNA

    • Develop multi-gene expression cassettes that co-express chaperones with recombinant petD

  • Chloroplast Transformation:

    • Develop reliable chloroplast transformation protocols for barley to express petD in its native organellar environment

    • Target expression to specific plastid types (e.g., etioplasts vs. mature chloroplasts)

    • Employ chloroplast-specific regulatory elements to fine-tune expression levels

  • Synthetic Biology Approaches:

    • Design synthetic petD variants with enhanced stability while maintaining function

    • Incorporate non-canonical amino acids to enhance specific properties

    • Apply directed evolution approaches to select for optimal functional variants

The most promising integrated approach would combine optimized genetic backgrounds (such as GST knockout or IPI overexpression) with precise gene editing technologies to create barley lines specifically tailored for high-level, stable expression of functional recombinant petD protein .

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