Recombinant Oryza sativa subsp. japonica Bidirectional sugar transporter SWEET3b (SWEET3B)

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Description

Recombinant Production and Applications

Recombinant SWEET3B is produced in heterologous expression systems for functional studies. Commercial and research-grade variants are available with the following specifications:

Expression SystemPurityApplicationsSource
E. coli, Yeast, Mammalian≥85% (SDS-PAGE) ELISA, Western blot, transport assays MyBioSource
Cell-free expression≥85% Structural studies, ligand-binding assays Colorectalresearch

Antibodies against SWEET3B have been developed for detecting native and recombinant forms in rice tissues . These tools are pivotal for investigating SWEET3B’s localization and interaction partners.

Sugar Transport Mechanism

SWEET3B facilitates glucose transport across cellular membranes, operating bidirectionally depending on concentration gradients . Unlike some SWEET paralogs (e.g., SWEET13/14), SWEET3B does not transport sucrose or gibberellins . Key residues involved in substrate binding and transport include:

  • Polar residues: Ser20, Asn76, Ser142, and Asn196 (critical for glucose binding) .

  • Hydrophobic residues: Leu23 and Met145 (stabilize transmembrane architecture) .

Mutagenesis studies on homologous SWEET transporters (e.g., AtSWEET1) reveal that conserved residues like Tyr57 and Gly58 are essential for oligomerization and transport activity . SWEET3B likely requires homotrimerization for functionality, similar to other SWEETs .

Role in Plant Physiology

In rice, SWEET3B contributes to:

  • Nutrient allocation: Mobilizing glucose between vacuoles and cytosol .

  • Stress responses: Modulating sugar flux during pathogen attacks or abiotic stress .

  • Yield optimization: Influencing seed filling and grain development .

Mutational Analyses

  • Loss-of-function mutants: Disrupted glucose transport due to mutations in substrate-binding residues (e.g., N76Q, V145L) .

  • Dominant-negative mutants: Coexpression with wild-type SWEET3B inhibits transport, confirming oligomerization dependency .

Biotechnological Potential

  • Crop engineering: Modifying SWEET3B expression could enhance sugar partitioning, improving stress tolerance or yield .

  • Pathogen resistance: Overexpression may reduce sugar "leakage" exploited by pathogens like Xanthomonas oryzae .

Challenges and Future Directions

  • Structural resolution: A high-resolution SWEET3B structure is needed to elucidate transport mechanics .

  • Substrate specificity: Engineering SWEET3B to transport diverse sugars (e.g., sucrose) could expand applications .

  • In planta studies: Linking SWEET3B activity to agronomic traits requires CRISPR-edited rice lines .

Product Specs

Form
Lyophilized powder
Note: We will prioritize shipping the format currently in stock. However, if you have specific requirements for the format, please indicate them when placing your order, and we will fulfill your request.
Lead Time
Delivery time may vary depending on the purchase method and location. Please consult your local distributor for specific delivery times.
Note: All our proteins are shipped with standard blue ice packs by default. If you require dry ice shipping, please inform us in advance. Additional fees will apply.
Notes
Repeated freeze-thaw cycles are not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
We recommend briefly centrifuging the vial prior to opening to ensure all contents settle to the bottom. Please reconstitute the protein in deionized sterile 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%. Customers can use this as a reference.
Shelf Life
The shelf life depends on various factors, including storage conditions, buffer ingredients, temperature, and the protein's inherent stability.
Generally, the shelf life of liquid form is 6 months at -20°C/-80°C. The shelf life of lyophilized form is 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquoting is recommended for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type will be determined during the production process. If you have a specific tag type requirement, please inform us, and we will prioritize developing the specified tag.
Synonyms
SWEET3B; Os01g0220700; LOC_Os01g12130; OsJ_00913; P0483F08.29; Bidirectional sugar transporter SWEET3b; OsSWEET3b
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-252
Protein Length
full length protein
Species
Oryza sativa subsp. japonica (Rice)
Target Names
SWEET3B
Target Protein Sequence
MVSNTIRVAVGILGNAASMLLYAAPILTFRRVIKKGSVEEFSCVPYILALFNCLLYTWYG LPVVSSGWENSTVSSINGLGILLEIAFISIYTWFAPRERKKFVLRMVLPVLAFFALTAIF SSFLFHTHGLRKVFVGSIGLVASISMYSSPMVAAKQVITTKSVEFMPFYLSLFSFLSSAL WMIYGLLGKDLFIASPNFIGCPMGILQLVLYCIYRKSHKEAEKLHDIDQENGLKVVTTHE KITGREPEAQRD
Uniprot No.

Target Background

Function
This protein mediates both low-affinity uptake and efflux of sugar across the plasma membrane.
Database Links

KEGG: osa:4324648

Protein Families
SWEET sugar transporter family
Subcellular Location
Cell membrane; Multi-pass membrane protein.

Q&A

What is SWEET3b and what is its functional role in rice plants?

SWEET3b (also known as OsSWEET3b) is a bidirectional sugar transporter protein belonging to the SWEET family, encoded by the SWEET3B gene (Os01g0220700, LOC_Os01g12130) in rice (Oryza sativa subsp. japonica) . The protein facilitates the transport of sugars across cellular membranes in a bidirectional manner. Based on structural and functional analyses of similar SWEET transporters, SWEET3b likely contains multiple transmembrane domains that form a pore structure facilitating sugar movement. While specific data on SWEET3b is limited in the provided search results, research on homologous proteins suggests it plays a role in cellular sugar homeostasis and may be involved in processes such as phloem loading, pollen development, or seed filling.

What is the protein structure and characteristics of SWEET3b?

SWEET3b is characterized by a 252-amino acid sequence that forms approximately 6-7 transmembrane domains with its N-terminus located extracellularly, according to predictions using bioinformatics tools like HMMTOP and TOPCONS . The full amino acid sequence is:

MVSNTIRVAVGILGNAASMLYAAPILTFRRVIKKGSVEEFScvpyilalfa CLLYTWYGLPVVSSGWENSTVSSINGLGILLEIAFISIYTWFAPRERKKFVL RMVLPVLAFFALTAIFSSFLFHTHGLRKVFVGSIGLVASISMYSSPMVAAKQ VITTKSVEFMPFYLSLFSSALWMIYGLLGKDLFIASPNFIGCPMGILQLVLY CIYRKSHKEAEKLHDIDQENGLKVVTTHEKITGREPEAQRD

The protein has a UniProt accession number of Q5NAZ9 and alternative identifiers including OsJ_00913 and P0483F08.29 . Based on research on similar SWEET proteins, SWEET3b likely adopts a structure with multiple transmembrane helices that form a central transport pathway for substrates.

How is SWEET3b expression regulated in plants?

While direct information about SWEET3b expression regulation in rice is limited in the search results, research on homologous SWEET transporters suggests tissue-specific and developmentally regulated expression patterns. By drawing parallels with the mulberry SWEET3 transporter, we can infer that rice SWEET3b may show differential expression across plant tissues. For instance, the mulberry SWEET3 is highly expressed in leaves but shows minimal expression in callus tissue . Expression of SWEET transporters is often regulated by developmental cues, environmental factors, and potentially pathogen infection. Transcriptional regulation may involve tissue-specific promoters, hormone-responsive elements, and stress-responsive factors that collectively modulate SWEET3b expression levels in different plant tissues and under varying conditions.

How can recombinant SWEET3b be effectively expressed in heterologous systems?

Effective expression of recombinant SWEET3b requires careful consideration of expression systems and optimization strategies:

Expression Systems Selection:

  • Yeast Expression Systems: The EBY.VW4000 yeast strain, which lacks endogenous hexose transporters, has been successfully used for functional characterization of sugar transporters like SWEET3 . This system allows for direct assessment of transport function.

  • E. coli Systems: For structural studies requiring larger protein quantities, E. coli expression with fusion tags (MBP, SUMO) may improve membrane protein solubility and folding.

  • Insect Cell Systems: Baculovirus-infected insect cells often provide superior membrane protein expression with appropriate post-translational modifications.

Optimization Strategies:

  • Include N-terminal or C-terminal affinity tags (His6, FLAG) for purification while ensuring they don't interfere with protein folding.

  • Optimize codon usage for the host organism to enhance translation efficiency.

  • Consider using inducible promoters to control expression timing.

  • Supplement media with specific lipids that mimic the native membrane environment.

  • Lower expression temperature (16-20°C) to promote proper folding of membrane proteins.

What methods can be employed to verify SWEET3b substrate binding and transport activity?

Several complementary approaches can be used to characterize SWEET3b substrate interactions:

In Vivo Transport Assays:

  • Growth-based Complementation: Expression of SWEET3b in transport-deficient yeast strains (such as EBY.VW4000) followed by growth assessment on media containing specific sugars as the sole carbon source .

  • Toxicity Assays: Utilizing toxic sugar analogs or compounds like DNJ that enter cells through sugar transporters. Increased sensitivity indicates transport activity, as observed with SWEET3 and DNJ .

In Vitro Binding Assays:

  • Gel Mobility Shift Assay: This technique has successfully demonstrated SWEET3's DNJ-binding capability. The purified protein is mixed with various concentrations of the substrate, and the complex is resolved on SDS-PAGE. Shifts in mobility indicate binding, as observed with SWEET3 and DNJ in concentration-dependent manner (10-200 mM DNJ) .

  • Isothermal Titration Calorimetry (ITC): For quantitative measurement of binding constants and thermodynamic parameters.

  • Surface Plasmon Resonance (SPR): For real-time binding kinetics analysis.

Transport Measurement:

  • Radioisotope-labeled Substrate Uptake: Measuring cellular accumulation of labeled substrates.

  • Fluorescent Substrate Analogs: Monitoring transport using fluorescence microscopy or plate readers.

How can key binding residues in SWEET3b be identified and validated?

Identification and validation of key binding residues in SWEET3b can be accomplished through a multi-step approach:

Computational Identification:

  • Homology Modeling: Generate a structural model using SWISS-MODEL or similar platforms based on related proteins with known structures .

  • Molecular Docking: Use tools like CB-Dock2 to predict substrate binding sites and interactions. For example, molecular docking of DNJ with SWEET3 identified glutamate at position 68 (E68) and aspartate at position 126 (D126) as potential interaction sites .

  • Sequence Alignment: Compare SWEET3b with functionally characterized homologs to identify conserved residues.

Experimental Validation:

  • Site-directed Mutagenesis: Replace predicted key residues with neutral or oppositely charged amino acids (e.g., E68Q, E68K, D126N, D126H mutations in SWEET3) .

  • Functional Assays: Test mutant proteins using transport assays. For SWEET3, mutations that reduced DNJ transport were identified using spot assays and growth curve analysis in yeast .

  • Binding Assays: Compare substrate binding affinity between wild-type and mutant proteins.

How does SWEET3b substrate specificity compare to other SWEET family transporters?

SWEET family transporters exhibit varied substrate specificities across plant species, with important implications for their physiological roles:

Substrate Range Analysis:
The SWEET family generally transports mono- and disaccharides, but specific members can transport additional compounds. SWEET3 from mulberry can transport 1-deoxynojirimycin (DNJ), a glucose analog with an imino group replacing the oxygen . This suggests SWEET3b may also transport non-canonical substrates beyond simple sugars.

Structural Determinants of Specificity:
Molecular docking analysis with SWEET3 revealed that specific acidic residues (E68 and D126) interact with the positively charged imino group of DNJ . Similar analyses of SWEET3b would help identify residues conferring substrate specificity. Comparative analysis with other SWEET transporters could reveal specificity-determining regions.

Experimental Approaches to Define Specificity:

  • Competitive inhibition assays with various substrates

  • Transport kinetics measurements across different sugars and analogs

  • Chimeric protein construction with other SWEET transporters to identify specificity-determining domains

What role does SWEET3b subcellular localization play in its function?

The subcellular localization of SWEET3b significantly impacts its physiological function:

Predicted Localization:
Based on analysis of similar proteins, SWEET3 has been identified as a chloroplast membrane-localized protein . This localization suggests potential roles in:

  • Sugar export from chloroplasts during the day

  • Sugar import into chloroplasts at night

  • Maintenance of chloroplast osmotic balance

Localization Verification Methods:

  • Fluorescent Protein Fusion: Creating SWEET3b-GFP fusions for visualization by confocal microscopy

  • Subcellular Fractionation: Isolating different cellular compartments and detecting SWEET3b by immunoblotting

  • Immunogold Electron Microscopy: High-resolution localization studies

How do post-translational modifications affect SWEET3b function?

Post-translational modifications (PTMs) can significantly alter SWEET3b function, though specific data on SWEET3b PTMs is not provided in the search results. Based on research on membrane transporters, several PTMs likely influence SWEET3b:

Potential PTMs and Their Effects:

  • Phosphorylation: May regulate transport activity through conformational changes or protein-protein interactions

  • Ubiquitination: Could control protein turnover and membrane abundance

  • S-nitrosylation: Might mediate responses to biotic/abiotic stresses

  • Glycosylation: Could affect protein stability and trafficking

Methodological Approaches to Study PTMs:

  • Mass Spectrometry: For comprehensive PTM identification

  • Phospho-specific Antibodies: To detect specific phosphorylation events

  • Site-directed Mutagenesis: Converting modifiable residues to non-modifiable ones

  • Pharmacological Treatments: Using kinase/phosphatase inhibitors to alter PTM status

Understanding how PTMs regulate SWEET3b would provide insights into dynamic control of sugar transport and potential intervention points for biotechnological applications.

How should researchers approach molecular docking studies of SWEET3b with potential substrates?

Molecular docking studies are valuable for predicting substrate interactions with SWEET3b:

Recommended Docking Protocol:

  • Structure Preparation: Generate a high-quality homology model using SWISS-MODEL or similar servers based on related SWEET transporters with known structures .

  • Substrate Preparation: Obtain accurate 3D structures of substrates from PubChem or similar databases .

  • Docking Software Selection: Tools like CB-Dock2 have successfully been applied to SWEET3 docking studies .

  • Binding Site Definition: Either define based on homologous structures or use blind docking approaches to identify potential binding pockets.

  • Docking Parameter Optimization: Use default parameters initially, then refine based on known interactions.

Results Interpretation:

  • Scoring Function Analysis: Vina scores below -5 kcal/mol generally indicate favorable binding interactions, as seen with SWEET3 and DNJ .

  • Interaction Pattern Identification: For SWEET3, acidic residues (E68, D126) were found to interact with the positively charged imino group of DNJ .

  • Multiple Pose Evaluation: Consider multiple docking poses (like the five poses analyzed for SWEET3-DNJ interaction) .

Experimental Validation Planning:
Based on docking results, design site-directed mutagenesis experiments targeting predicted interaction residues, followed by functional assays to validate their importance.

What bioinformatic approaches can help characterize SWEET3b evolutionary relationships?

Understanding SWEET3b's evolutionary context provides insights into its function and specialization:

Phylogenetic Analysis Methods:

  • Multiple Sequence Alignment: Align SWEET3b with homologs from diverse species using MUSCLE or CLUSTAL

  • Tree Construction: Generate phylogenetic trees using maximum likelihood or Bayesian methods

  • Synteny Analysis: Examine genomic context of SWEET genes across species

Selection Pressure Analysis:

  • Calculate dN/dS ratios to identify residues under positive or purifying selection

  • Map selection patterns onto structural models to identify functionally important regions

Comparative Genomics Approaches:

  • Analyze SWEET gene family expansion/contraction across plant lineages

  • Identify clade-specific sequence motifs that might confer specialized functions

  • Compare expression patterns of orthologous genes across species

Tools and Resources:

  • MEGA, PhyML, or MrBayes for phylogenetic analyses

  • PAL2NAL and PAML for selection pressure analyses

  • Ensembl Plants and Phytozome for comparative genomics

How can contradictory transport data for SWEET3b be reconciled?

When facing contradictory transport data for SWEET3b, a systematic approach helps resolve discrepancies:

Common Sources of Contradictions:

  • Expression System Differences: Different heterologous systems may produce varying results

  • Protein Tag Interference: Affinity tags can affect transport function

  • Membrane Composition Variation: Lipid environment affects transporter function

  • Assay Sensitivity Limitations: Different detection methods have varying sensitivities

  • Substrate Concentration Effects: Transport kinetics change with substrate concentration

Reconciliation Strategies:

  • Standardized Protocols: Establish consistent expression and assay conditions

  • Multiple Complementary Approaches: Combine different transport assay methodologies

  • Kinetic Parameter Determination: Measure transport across concentration ranges to identify saturation points

  • Comparative Analysis: Test multiple SWEET family members under identical conditions

Rigorous Controls:

  • Include non-functional mutants as negative controls

  • Use well-characterized transporters as positive controls

  • Test empty vector controls in all assay systems

What emerging technologies could advance SWEET3b structural studies?

Several cutting-edge technologies offer promising approaches for elucidating SWEET3b structure:

Cryo-Electron Microscopy (Cryo-EM):
Cryo-EM has revolutionized membrane protein structural studies by allowing visualization of proteins in near-native environments without crystallization. For SWEET3b, this could reveal conformational states during the transport cycle.

Integrative Structural Biology:
Combining multiple techniques:

  • X-ray Crystallography: For high-resolution static structures

  • SAXS/SANS: For solution structure and conformational dynamics

  • NMR Spectroscopy: For dynamic aspects and ligand interactions

  • Molecular Dynamics Simulations: To model conformational changes during transport

Innovative Membrane Mimetics:

  • Nanodiscs: Provide a native-like lipid bilayer environment

  • Lipidic Cubic Phase (LCP): Supports membrane protein crystallization

  • Styrene Maleic Acid Lipid Particles (SMALPs): Extract membrane proteins with surrounding native lipids

AlphaFold2 and Deep Learning Approaches:
Recent advances in AI-based protein structure prediction could complement experimental studies by generating high-quality structural models of SWEET3b and its interactions.

How might genetic engineering of SWEET3b contribute to crop improvement?

Genetic engineering of SWEET3b holds potential for various agricultural applications:

Possible Engineering Goals:

  • Modified Sugar Partitioning: Enhancing sugar transport to specific tissues could increase yield

  • Stress Tolerance Enhancement: Modifying sugar transport during stress conditions

  • Pathogen Resistance Improvement: SWEET transporters are often targeted by pathogens; engineering resistance variants

  • Specialized Metabolite Production: Engineering SWEET3b to transport valuable compounds

Engineering Strategies:

  • Promoter Modifications: Altering expression patterns using tissue-specific or inducible promoters

  • Protein Engineering: Modifying transport kinetics or substrate specificity

  • CRISPR/Cas9 Editing: Creating precise modifications in native genes

  • RNA Interference: Tissue-specific knockdown of expression

Potential Applications:

  • Increasing grain filling in cereals

  • Enhancing sugar content in fruits

  • Improving biomass production for biofuels

  • Developing pathogen-resistant varieties

What are the potential roles of SWEET3b in plant-pathogen interactions?

SWEET transporters play significant roles in plant-pathogen interactions, suggesting possible similar roles for SWEET3b:

Known SWEET Roles in Pathogenesis:
Several SWEET transporters are targeted by pathogen effectors to increase sugar availability in the apoplast, facilitating pathogen growth. While specific information about SWEET3b in this context is not provided in the search results, its membership in the SWEET family suggests potential involvement.

Research Approaches:

  • Pathogen Challenge Experiments: Monitoring SWEET3b expression changes during infection

  • Effector Target Identification: Determining if pathogen effectors interact with SWEET3b

  • Knockout/Overexpression Studies: Assessing how SWEET3b modification affects pathogen susceptibility

  • Promoter Analysis: Identifying pathogen-responsive elements in the SWEET3b promoter

Biotechnological Applications:

  • Developing resistant varieties by modifying SWEET3b to prevent pathogen manipulation

  • Creating diagnostic tools based on SWEET3b expression changes during early infection

  • Engineering decoy targets to trap pathogen effectors

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