Recombinant Pseudomonas syringae pv. tomato tRNA-dihydrouridine synthase A (dusA)

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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. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50%, which can be used as a reference.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. Please specify your desired tag type for preferential development.
Synonyms
dusA; PSPTO_2126; tRNA-dihydrouridine(20/20a) synthase; EC 1.3.1.-; EC 1.3.1.91; U20-specific dihydrouridine synthase; U20-specific Dus; tRNA-dihydrouridine synthase A
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-336
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Pseudomonas syringae pv. tomato (strain ATCC BAA-871 / DC3000)
Target Names
dusA
Target Protein Sequence
MQPDIAPNPH STRPGLSRRF SVAPMMDWTD HHCRYFMRLL SSQALLYTEM VTTGALLHGD RERFLRHDET EHPLALQLGG STAAGLAACA RLAEAAGYDE VNLNVGCPSD RVQNNMIGAC LMAHPQLVAD CVKAMRDAVG IPVTVKHRIG INGRDSYAEL CDFVGTVHDA GCQSFTVHAR IAILEGLSPK ENRDIPPLRY DVVAQLKTDF PELEIVLNGG IKTLEQCSEH LQTFDGVMLG REAYHNPYLL AQVDQQLFGS VAPVISRHAA LESMRPYIAA HIASGGNMHH VTRHMLGLGL GFPGARRFRQ LLSVDIHKAE NPLLLLDQAA KFLEGH
Uniprot No.

Target Background

Function
This recombinant Pseudomonas syringae pv. tomato tRNA-dihydrouridine synthase A (dusA) catalyzes the synthesis of 5,6-dihydrouridine (D), a modified base found in the D-loop of most tRNAs. This is achieved through the reduction of the C5-C6 double bond in target uridines. Specifically, it modifies U20 and U20a in tRNAs.
Database Links
Protein Families
Dus family, DusA subfamily

Q&A

What is tRNA-dihydrouridine synthase A (dusA) in Pseudomonas syringae pv. tomato?

The tRNA-dihydrouridine synthase A (dusA) in Pseudomonas syringae pv. tomato is an enzyme responsible for catalyzing the reduction of specific uridine residues to dihydrouridine in tRNA molecules. This modification typically occurs in the D-loop region of tRNA, which is named after this dihydrouridine modification. P. syringae is a globally dispersed plant pathogen and an important model species used to study the molecular biology of bacteria-plant interactions . The pathovar tomato specifically infects tomato plants, causing bacterial speck disease characterized by necrotic lesions surrounded by chlorotic halos. The dusA enzyme belongs to the family of flavin-dependent oxidoreductases and requires NADPH or NADH as a cofactor for its activity, similar to other bacterial dihydrouridine synthases .

How does bacterial dusA differ from human dihydrouridine synthases?

Bacterial dusA enzymes exhibit several key differences compared to human dihydrouridine synthases like DUS1L:

  • Cofactor flexibility: Bacterial DusA can utilize both NADPH and NADH for the dihydrouridine modification reaction , providing metabolic versatility that may be advantageous under varying environmental conditions.

  • Substrate specificity: While human DUS1L specifically catalyzes modifications at positions 16 and 17 in tRNA molecules such as tRNA Tyr(GUA) , bacterial dusA enzymes often modify different positions and may have broader substrate ranges.

  • Regulatory mechanisms: The expression and activity regulation of bacterial dusA likely differs from human DUS1L, reflecting the distinct physiological needs of prokaryotic versus eukaryotic systems.

  • Structural properties: Despite catalyzing similar chemical reactions, the protein structures of bacterial and human dihydrouridine synthases have evolved distinct features that may provide targets for selective inhibition.

These differences are significant for researchers developing targeted antimicrobial approaches or studying the evolution of RNA modification systems across domains of life.

What are the common methods for purifying recombinant dusA protein?

Purification of recombinant dusA from P. syringae typically follows established protocols for bacterial recombinant proteins with several considerations specific to this enzyme:

  • Expression system: The dusA gene can be cloned into expression vectors with histidine tags to facilitate purification, similar to approaches used for human DUS1L . E. coli BL21(DE3) or similar strains are commonly employed as expression hosts.

  • Affinity chromatography: His-tagged dusA can be efficiently purified using Co²⁺-chelating beads or Ni-NTA resin under native conditions . This approach typically yields protein of sufficient purity for in vitro activity assays.

  • Buffer composition: Purification buffers often include reducing agents (DTT or β-mercaptoethanol) to maintain enzyme activity, as well as glycerol to improve stability during storage.

  • Enzyme activity verification: Following purification, enzyme activity should be confirmed through in vitro reconstitution reactions with appropriate tRNA substrates and NADPH/NADH cofactors .

  • Storage considerations: Purified dusA is typically stored in buffer containing glycerol at -80°C, with aliquoting recommended to avoid repeated freeze-thaw cycles that can reduce activity.

What are the optimal parameters for recombineering Pseudomonas syringae dusA?

Successful recombineering of the dusA gene in P. syringae requires careful optimization of several critical parameters:

  • Homology arm design: The length of flanking homologies has a significant effect on RecTE(Psy) mediated recombination efficiency . For dusA modifications, homology arms of at least 500-1000 bp are recommended for optimal efficiency.

  • Target sequence considerations: The length of sequences being inserted or deleted also substantially impacts recombination efficiency . Smaller modifications generally yield higher efficiency than larger insertions or deletions.

  • Recombinase expression: The RecTE(Psy) recombineering system identified in P. syringae functions with both ssDNA and dsDNA substrates . Optimal expression timing and levels should be established for the specific strain being modified.

  • Selection strategy: For dusA modifications, appropriate selection markers and screening methods should be developed based on the expected phenotype or incorporated selection genes.

  • Strain specificity: Different P. syringae pathovars and strains may exhibit variation in recombineering efficiency, necessitating optimization for the specific strain of interest.

The table below summarizes recommended parameters for P. syringae dusA recombineering:

ParameterRecommended ValueImpact on Efficiency
Homology arm length500-1000 bpHigher length correlates with increased efficiency
Insert size<2 kb preferredEfficiency decreases with larger inserts
dsDNA substrate concentration100-500 ngOptimal range for transformation
Recovery time post-electroporation3-6 hoursCritical for expression of resistance markers
Selection timing24-48 hours post-transformationAllows for segregation of recombinants

How can researchers resolve contradictions in experimental results with recombinant dusA?

When confronting contradictory experimental results with recombinant dusA, researchers should employ systematic approaches to identify and resolve inconsistencies:

  • Contradictory configurations analysis: Apply rigorous comparative analysis techniques similar to those used in Qualitative Comparative Analysis (QCA) to systematically evaluate experimental conditions that lead to contradictory outcomes . This involves creating a truth table that maps combinations of experimental conditions to results, highlighting contradictory configurations.

  • Model specification refinement: As demonstrated in QCA methodology, contradictions often signal the need to identify omitted causal conditions . For dusA experiments, this might involve considering previously overlooked variables such as trace metal content in buffers, substrate preparation methods, or enzyme post-translational modifications.

  • Consistency assessment: Calculate consistency scores for experimental conditions to quantify the degree to which cases sharing a given combination of conditions display the same outcome . This provides a statistical basis for evaluating the reliability of experimental setups.

  • Deep case knowledge development: Focus on understanding the specific characteristics of contradictory cases, as this often reveals important variables that resolve apparent contradictions . This might involve more detailed biochemical characterization of the recombinant enzyme or substrates under these specific conditions.

  • Systematic parameter variation: Design experiments that systematically vary one parameter at a time (e.g., pH, temperature, cofactor concentration) to identify critical thresholds or non-linear relationships that might explain contradictory results.

This methodical approach transforms contradictions from frustrating inconsistencies into valuable insights about previously unrecognized factors affecting dusA function.

What are the effects of cofactor preference on dusA activity in Pseudomonas syringae?

The cofactor preference of dusA in P. syringae has significant implications for its activity and physiological role:

  • Dual cofactor utilization: Bacterial DusA enzymes can utilize both NADPH and NADH for the dihydrouridine modification reaction , providing metabolic flexibility that may be advantageous under varying environmental conditions.

  • Redox state sensitivity: The relative intracellular concentrations of NADPH/NADP⁺ versus NADH/NAD⁺ can influence dusA activity, potentially linking tRNA modification to the bacterial cell's energy and redox status.

  • Environmental adaptation: Cofactor preference may shift under different environmental conditions, potentially allowing P. syringae to maintain critical tRNA modifications during plant infection despite changes in metabolic state.

  • Kinetic parameters: The Km and Vmax values of dusA likely differ between NADPH and NADH, which would affect enzyme activity at varying cofactor concentrations. While specific values for P. syringae dusA are not reported in the provided literature, comparative studies with other bacterial DUS enzymes suggest potential differences in efficiency.

  • Inhibition strategies: Understanding cofactor binding and utilization mechanisms provides potential targets for selective inhibition of bacterial dusA without affecting human DUS enzymes, which could lead to novel antimicrobial approaches.

How can mass spectrometry be used to characterize dusA-mediated tRNA modifications?

Mass spectrometry offers powerful approaches for characterizing dusA-mediated dihydrouridine modifications in tRNA:

  • Sample preparation protocol: tRNA samples should be isolated from total RNA following in vitro reconstitution with recombinant dusA and appropriate cofactors (NADPH or NADH) . Specific tRNAs can be further purified using oligonucleotide-directed techniques prior to analysis.

  • Enzymatic digestion: Purified tRNA samples should be digested with specific RNases (such as RNase T1) to generate fragments of appropriate sizes for mass spectrometric analysis . This digestion produces characteristic fragments containing the modified nucleosides.

  • LC-MS/MS analysis: Digested tRNA fragments can be separated by liquid chromatography and analyzed by tandem mass spectrometry to determine the precise positions and extent of dihydrouridine modifications . This approach can distinguish between modified and unmodified uridine residues based on their mass difference.

  • Data interpretation: Mass shifts corresponding to the reduction of uridine to dihydrouridine (+2 Da) provide evidence of successful modification. Complete versus partial modification can be quantified by comparing peak intensities.

  • Comparative mapping: By comparing mass spectrometry profiles of tRNA from wild-type, dusA-knockout, and complemented strains, researchers can definitively map dusA-specific modification sites.

This methodology enables precise characterization of dusA activity in vitro and in vivo, allowing researchers to correlate specific modifications with functional effects on bacterial physiology and virulence.

What are the potential relationships between dusA activity and Pseudomonas syringae virulence in tomato plants?

The relationship between dusA activity and P. syringae virulence in tomato plants presents several intriguing research avenues:

  • Stress adaptation: Dihydrouridine modifications may enhance tRNA flexibility under stress conditions encountered during plant infection, potentially allowing more efficient translation of virulence factors when the pathogen faces host defense responses.

  • Temperature-dependent pathogenicity: P. syringae pv. tomato causes bacterial speck disease in tomato plants under cool, wet conditions. Since dihydrouridine modifications can affect tRNA flexibility, dusA activity might be particularly important for pathogen fitness under these temperature conditions.

  • Virulence factor expression: Specific virulence factors, particularly those involved in type III secretion systems critical for P. syringae pathogenicity , may depend on optimal translation efficiency supported by dusA-mediated tRNA modifications.

  • Host-induced metabolic shifts: The plant environment may induce changes in bacterial metabolism that alter NADPH/NADH ratios, potentially affecting dusA activity if there are differences in cofactor efficiency.

  • Potential as a virulence target: Given that dusA likely plays a role in bacterial adaptation to host environments, it could represent a target for novel disease management strategies in tomato cultivation.

Experimental approaches to investigate these relationships would include creating dusA knockout mutants in P. syringae pv. tomato, performing complementation studies, and assessing virulence through seedling-based flood assays that have been shown to faithfully recapitulate adult plant phenotypes .

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