Recombinant Helianthus annuus Putative serine/threonine-protein kinase

Shipped with Ice Packs
In Stock

Product Specs

Form
Lyophilized powder. We will ship the in-stock format, but if you have specific format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery times vary by purchase method and location. Please consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance; additional charges apply.
Notes
Avoid repeated freeze-thaw cycles. Working aliquots can be stored 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% for your reference.
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 receiving. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process. If you require a specific tag, please inform us, and we will prioritize developing it.
Synonyms
Putative serine/threonine-protein kinase; EC 2.7.11.1; Fragment
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-242
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Helianthus annuus (Common sunflower)
Target Protein Sequence
MKMCFPCLQC FCSTSDDKVV VSKNDKGGES GKKFRLFSYH ELKVACDGFS SKNKVGEGGC GAVYKGRLTD GTMVAIKVLS VELESMRGER EFISEIAALS DAQHENLVNL HGCCVEEATR CLVYDYMENN SLAYQFLGRE QNRNSFDWTK RKNVLLGVAK ALAYLHEEIN PHIVHRDIKA SNVLLDHNFN PKVADFGLAR LFQEGTSHIS TRVAGTLGYL SPEYAVSERL TRKSDVYSFG VL
Uniprot No.

Q&A

What are serine/threonine-protein kinases in Helianthus annuus and how are they identified?

Serine/threonine-protein kinases in Helianthus annuus are enzymes that catalyze the transfer of phosphate groups from ATP to serine or threonine residues on target proteins, thereby regulating various cellular processes. These kinases are typically identified through genome-wide analyses using computational approaches.

The identification process generally involves:

  • Using Hidden Markov Model (HMM) profiles based on reference sequences from model plants like Arabidopsis thaliana and Glycine max

  • Analyzing conserved kinase domains

  • Conducting phylogenetic analyses to classify kinases into different subfamilies

For example, MAPK (Mitogen-Activated Protein Kinase) genes represent an important class of serine/threonine kinases in sunflower. A genome-wide identification of these genes revealed 28 MPKs and eight MKKs in H. annuus, which were confirmed through detailed sequence analysis .

What functional roles do serine/threonine-protein kinases play in sunflower physiology?

Serine/threonine-protein kinases in sunflower serve multiple critical functions:

  • Signal transduction: They act as key components in signaling cascades that transmit external stimuli to cellular responses

  • Stress response regulation: They mediate responses to both biotic stresses (pathogens) and abiotic stresses (drought, salinity)

  • Developmental processes: They regulate various aspects of plant growth and development

  • Disease resistance: Many serine/threonine kinases are encoded by resistance (R) genes and contribute to plant immunity

Transcriptomic analyses have shown that at least 19 HaMPK and seven HaMKK genes (members of the MAPK family of serine/threonine kinases) are induced in response to salicylic acid (SA), sodium chloride (NaCl), and polyethylene glycol (PEG) treatments in both leaves and roots of sunflower plants, indicating their roles in stress response pathways .

How do serine/threonine-protein kinases contribute to disease resistance in sunflower?

Serine/threonine-protein kinases play crucial roles in disease resistance mechanisms in sunflower:

  • Pathogen recognition: Many R (resistance) genes encode serine/threonine kinases that directly or indirectly recognize pathogen effectors

  • Signal transduction: Upon pathogen recognition, these kinases activate downstream defense responses

  • Defense gene activation: They regulate transcription factors that control expression of defense-related genes

  • Hypersensitive response: Some kinases mediate programmed cell death to limit pathogen spread

Genetic analysis has identified multiple disease resistance gene clusters in sunflower. For example, LG 13 contains a cluster with three broomrape resistance genes (Or3, Or4, and Or5), one downy mildew (DM) resistance gene (Pl8), and six rust resistance genes (R1, R2, R4, R5, R13a, and R13b) . Many of these resistance genes likely encode or interact with serine/threonine kinases as part of their signaling pathways.

What experimental approaches are most effective for characterizing recombinant sunflower serine/threonine-protein kinases?

Effective characterization of recombinant sunflower serine/threonine-protein kinases requires a multi-faceted approach:

  • Expression system selection: Heterologous expression in systems like E. coli, yeast, or insect cells, with yeast being particularly useful for ER-associated enzymes

  • Protein purification: Affinity chromatography (His-tag, GST-tag) followed by size exclusion chromatography

  • Enzyme activity assays: In vitro kinase assays using radiolabeled ATP (γ-32P-ATP) or phospho-specific antibodies

  • Substrate identification: Proteomic approaches combined with phosphorylation site analysis

  • Structural characterization: X-ray crystallography or cryo-EM for 3D structural determination

Researchers have successfully used yeast expression systems for characterizing plant proteins, as demonstrated in studies of other plant enzymes: "The characterization of recombinant HaLPCATs was carried out in yeast, a host that has been demonstrated to be appropriate for the characterization of other ER-associated enzymes involved in lipid metabolism" .

How can protein-protein interactions of sunflower serine/threonine-protein kinases be identified and validated?

Identifying and validating protein-protein interactions of sunflower serine/threonine-protein kinases involves several complementary techniques:

  • Yeast two-hybrid (Y2H) screening: For initial identification of potential interacting partners

  • Co-immunoprecipitation (Co-IP): Using specific antibodies to pull down protein complexes from plant extracts

  • Bimolecular fluorescence complementation (BiFC): For visualizing interactions in planta

  • Firefly luciferase complementation assays: As demonstrated in studies of other plant kinases

  • Pull-down assays: Using recombinant proteins to confirm direct interactions

  • Mass spectrometry: For identification of components in protein complexes

These approaches have been successfully applied in studying plant kinases. For example, in maize, "An in vivo immunoprecipitation assay using an anti-KNR6 antibody identified 58 KNR6-interacting proteins, including an Arf GTPase-activating protein (AGAP) and two 14-3-3 proteins. We verified the KNR6-AGAP interaction using firefly LUC complementation and pull-down assays" .

What strategies can be employed to identify phosphorylation targets of sunflower serine/threonine-protein kinases?

Identifying phosphorylation targets of sunflower serine/threonine-protein kinases requires systematic approaches:

  • In vitro kinase assays with protein arrays: Testing phosphorylation of multiple candidate substrates simultaneously

  • Phosphoproteomics: Mass spectrometry-based identification of phosphopeptides from plant samples

  • Substrate consensus sequence analysis: Computational prediction based on known kinase specificity

  • Genetic approaches: Analysis of phosphorylation status in kinase mutants versus wild-type plants

  • Chemical genetics: Using analog-sensitive kinase mutants that accept bulky ATP analogs

Once potential targets are identified, validation can be performed using:

  • Site-directed mutagenesis of phosphorylation sites

  • Phospho-specific antibodies

  • Functional assays to determine the biological significance of the phosphorylation events

Studies in other plants have successfully identified kinase targets by combining these approaches. For instance, the serine/threonine protein kinase KNR6 in maize was shown to phosphorylate an Arf GTPase-activating protein (AGAP), affecting ear length and kernel number .

What expression systems are most suitable for producing active recombinant sunflower serine/threonine-protein kinases?

The choice of expression system for recombinant sunflower serine/threonine-protein kinases depends on several factors:

Bacterial Expression (E. coli):

  • Advantages: Simple, cost-effective, high protein yield

  • Limitations: Lack of post-translational modifications, potential inclusion body formation

  • Best for: Kinase domains, smaller kinases without complex modifications

Yeast Expression (S. cerevisiae, P. pastoris):

  • Advantages: Eukaryotic system with some post-translational modifications, moderate yield

  • Applications: Particularly useful for plant enzymes as demonstrated in studies of other plant proteins

  • Example implementation: "The host strain used for the production of the recombinant LPCAT enzymes in yeast was the Saccharomyces cerevisiae haploid knock-out mutant ALE1"

Insect Cell Expression (Baculovirus system):

  • Advantages: Higher eukaryotic system with more complex post-translational modifications

  • Applications: Suitable for full-length kinases requiring extensive modifications

  • Considerations: More expensive, technically demanding

Plant-Based Expression (N. benthamiana, Arabidopsis):

  • Advantages: Native-like environment with appropriate modifications

  • Applications: For kinases requiring plant-specific cofactors or modifications

  • Example: "Arabidopsis transgenic seeds were germinated on vertically positioned agar-solidified Murashige and Skoog media containing 50 μg ml−1 kanamycin"

The choice should be guided by the specific research questions and the properties of the target kinase.

How can recombinant sunflower serine/threonine-protein kinase activity be accurately measured?

Accurate measurement of recombinant sunflower serine/threonine-protein kinase activity can be achieved through several methods:

Radiometric Assays:

  • Principle: Measuring incorporation of 32P or 33P from labeled ATP into substrates

  • Advantages: High sensitivity, quantitative results

  • Protocol components:

    • Purified kinase

    • Appropriate substrate (peptide or protein)

    • [γ-32P]-ATP

    • Reaction buffer (typically containing Mg2+ or Mn2+)

    • Time-course measurements

Non-radiometric Assays:

  • Antibody-based detection of phosphorylated substrates

  • Coupled enzyme assays measuring ADP production

  • Fluorescence-based assays using phospho-specific dyes

Assay Considerations:

  • Substrate specificity: Using physiologically relevant substrates

  • Reaction conditions: Optimization of pH, temperature, and buffer components

  • Controls: Including phosphatase inhibitors and kinase-dead mutants

  • Data analysis: Determining kinetic parameters (Km, Vmax)

For example, a bidirectional assay approach has been used for other enzymes: "For the reverse reaction, three different species of radiolabeled PC were used; all of them were prepared from sn-1-18:1-LPC, which was acylated with [1-14C]-18:1, [1-14C]-18:2, and [1-14C]-18:3. The activity was determined by measuring the radiolabeled acyl-CoA released in the presence of free CoA" .

What transgenic approaches are effective for studying the function of serine/threonine-protein kinases in sunflower?

Several transgenic approaches can be employed to study serine/threonine-protein kinase function in sunflower:

Overexpression Studies:

  • Methodology: Expressing the kinase gene under a strong constitutive promoter (e.g., CaMV 35S)

  • Applications: Gain-of-function analysis, complementation of mutants

  • Example implementation: "Sequences of open reading frames (ORFs) of three sunflower LPCATs (HaLPCAT1, 2, and 3) were cloned in the pBIN19:35S binary plasmid"

RNA Interference (RNAi) and CRISPR-Cas9 Gene Editing:

  • Methodology: Creating knockdown or knockout lines

  • Applications: Loss-of-function analysis

  • Technical considerations: Design of specific guide RNAs, transformation efficiency

Tissue-Specific or Inducible Expression Systems:

  • Methodology: Using tissue-specific or inducible promoters

  • Applications: Studying kinase function in specific tissues or developmental stages

  • Advantages: Avoiding lethal phenotypes from constitutive modification

Transformation Methods for Sunflower:

  • Agrobacterium-mediated transformation: "These constructs were transferred to Agrobacterium tumefaciens strain GV3101 and kanamycin-resistant colonies were selected in all cases"

  • Floral dip method for Arabidopsis as a model system: "Arabidopsis double mutant, Col-0, or null segregants were transformed with these constructs by the floral dipping method"

  • Selection of transgenic plants: "Transgenic plants were confirmed by amplification of genomic DNA extracted according to Kasajima et al. (2004) method"

How can the effects of transposable elements on serine/threonine-protein kinase gene expression be analyzed?

Analyzing the effects of transposable elements (TEs) on serine/threonine-protein kinase gene expression involves several complementary approaches:

Comparative Genomic Analysis:

  • Identification of TE insertions in kinase genes across different varieties/accessions

  • Correlation between TE presence/absence and phenotypic traits

  • Example finding: "Two TE presence/absence variation (PAV) polymorphisms in the regulatory region of KNR6 are major variants, with strong effects on KNR, EL, and grain yield"

Expression Analysis:

  • RT-qPCR to compare expression levels between varieties with/without TEs

  • RNA-seq for genome-wide expression patterns

  • Example finding: "Significantly, KNR and EL traits in the recombinants correlated highly with expression of Zm00001d036602 (r)"

Reporter Gene Assays:

  • Cloning promoter regions with/without TEs fused to reporter genes

  • Comparing reporter activity in transient assays

  • Example implementation: "We cloned each fragment upstream of a luciferase (LUC) reporter construct driven by the cauliflower mosaic virus 35S minimal promoter (mpCaMV), and compared LUC activity in maize leaf protoplasts"

DNA Methylation Analysis:

  • Bisulfite sequencing to measure DNA methylation levels

  • Identification of hypermethylated regions associated with TEs

  • Example finding: "In NIL, we found that both the LTR-PAV and the TE-PAV were hypermethylated in CG (94.5 and 97.1%) and CHG (85.2 and 63.4%) contexts but not in CHH (1.7 and 7.0%)"

These approaches have revealed that TEs can significantly impact gene expression, as demonstrated in studies of other plant kinases: "The results showed significantly lower LUC activity in the construct having the Harbinger-like TE (TE construct) relative to the construct lacking it (+ TE construct)" .

How can serine/threonine-protein kinase genes be utilized in marker-assisted selection for disease resistance in sunflower?

Serine/threonine-protein kinase genes can be effectively utilized in marker-assisted selection for disease resistance in sunflower through several approaches:

Development of Diagnostic Markers:

  • Single Nucleotide Polymorphism (SNP) markers linked to resistance genes

  • Simple Sequence Repeat (SSR) markers in gene regions

  • Example application: "The diagnostic SNP markers developed for each gene in the current study will facilitate marker-assisted selections of resistance genes in sunflower breeding"

Genotyping Platforms:

  • High-throughput genotyping arrays containing multiple kinase-derived markers

  • KASP (Kompetitive Allele Specific PCR) assays for key resistance alleles

  • Next-generation sequencing approaches for marker discovery

Marker Validation Process:

  • Phenotypic evaluation of resistance in diverse germplasm

  • Association analysis to confirm marker-trait relationships

  • Validation in different genetic backgrounds

  • Implementation in breeding programs

Resistance Gene Clusters Analysis:

  • Targeting markers to known resistance gene clusters

  • Example finding: "Six rust R genes (R4, R13a, R13b, and R16–R18) in sub-cluster II could be differentiated with race-specific resistance, except for the three, R13a, R13b, and R16, that exhibit resistance to all of the P. helianthi races that have been identified in North America thus far"

Integration of these markers into breeding pipelines can significantly accelerate the development of disease-resistant sunflower varieties.

What approaches can be used to identify and characterize novel serine/threonine-protein kinases in wild Helianthus species?

Identifying and characterizing novel serine/threonine-protein kinases in wild Helianthus species requires a comprehensive approach:

Genomic Mining Strategies:

  • Whole genome sequencing of wild Helianthus accessions

  • Comparative genomics with cultivated sunflower

  • Motif-based identification of kinase domains

  • Example approach: "A Hidden Markov Model (HMM) profile of the MAPK genes utilized reference sequences from A. thaliana and G. max, yielding a total of 96 MPKs and 37 MKKs"

Transcriptome Analysis:

  • RNA-seq under various stress conditions to identify expressed kinases

  • Differential expression analysis between wild and cultivated species

  • Tissue-specific expression profiling

  • Example finding: "Transcriptomic analyses showed that at least 19 HaMPK and seven HaMKK genes were induced in response to salicylic acid (SA), sodium chloride (NaCl), and polyethylene glycol (Peg) in leaves and roots"

Functional Characterization Pipeline:

  • Cloning full-length coding sequences using RACE-PCR

  • Heterologous expression in appropriate systems

  • Biochemical characterization of enzyme activity

  • Complementation of model plant mutants

Evolutionary Analysis:

  • Phylogenetic studies to understand evolutionary relationships

  • Selection pressure analysis to identify functionally important residues

  • Example approach: "Phylogenetic analyses revealed four clades within each subfamily"

This systematic approach allows for the discovery of novel kinases that may have unique functions or improved properties for crop improvement.

What are the current limitations and future directions in sunflower serine/threonine-protein kinase research?

Current research on sunflower serine/threonine-protein kinases faces several limitations, but also presents exciting future opportunities:

Current Limitations:

  • Genome complexity: The large and complex sunflower genome makes comprehensive identification challenging

  • Functional redundancy: Multiple kinases often have overlapping functions, complicating single-gene studies

  • Transformation efficiency: Sunflower transformation remains technically challenging

  • Substrate identification: Comprehensive identification of kinase targets is still limited

  • Structure-function relationships: Detailed structural information for sunflower kinases is lacking

Future Research Directions:

  • Multi-omics integration: Combining genomics, transcriptomics, proteomics, and metabolomics data

  • CRISPR-based approaches: Improved gene editing techniques for functional studies

  • Systems biology: Network-based analysis of kinase signaling pathways

  • Structural biology: Determination of three-dimensional structures to guide inhibitor design

  • Translation to breeding: Development of climate-resilient and disease-resistant varieties

Emerging Technologies:

  • Single-cell analyses: Understanding cell-specific kinase functions

  • Synthetic biology: Engineering novel kinase-based signaling pathways

  • Computational modeling: Predicting kinase-substrate relationships

  • Nanobody technology: Developing specific inhibitors for functional studies

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.