Recombinant Geobacillus thermodenitrificans Kynureninase (kynU)

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Description

Genomic Context

The kynU gene is part of the tryptophan degradation pathway. G. thermodenitrificans strains, such as K1041 and NG80-2, possess robust genetic machinery for diverse metabolic pathways:

  • K1041 genome: 3,848 genes, including pathways for carbohydrate metabolism and thermostable enzyme production .

  • NG80-2 genome: Contains genes for alkane degradation and denitrification, with plasmids enabling heterologous gene expression .

While kynU is not explicitly annotated in the provided studies, Geobacillus spp. are recognized for their versatile enzymatic systems, including hydrolases and dehydrogenases .

Recombinant Production

Recombinant enzymes from G. thermodenitrificans are typically expressed in E. coli systems. Key steps include:

  1. Gene Cloning: Amplification of kynU from genomic DNA.

  2. Vector Design: Use of high-copy plasmids (e.g., pET21a+) with inducible promoters (e.g., T7) .

  3. Expression: Optimized at 60–70°C, leveraging the thermophilic origin of the enzyme .

  4. Purification: Affinity chromatography (e.g., His-tag systems) yields enzymes with >90% purity .

Example Workflow for Related Enzymes:

EnzymeHostExpression Temp.YieldActivity (U/mg)Reference
α-AmylaseE. coli70°C95%1,250
L-GlutaminaseE. coli70°C40%22.36 (fold)
β-XylosidaseE. coli60°CN/A13.20 × 10⁵

Functional Characteristics

Hypothetical properties of recombinant kynU based on homologous enzymes:

  • Optimal Conditions: Likely active at 60–70°C and pH 7–9, similar to other Geobacillus hydrolases .

  • Kinetic Parameters: Anticipated KmK_m and kcatk_{cat} values comparable to bacterial kynureninases (e.g., Km0.10.5mMK_m \approx 0.1–0.5 \, \text{mM}).

  • Thermostability: Half-life >1 hour at 70°C, as observed in recombinant α-amylases from G. thermodenitrificans .

Applications and Research Gaps

  • Biocatalysis: Potential use in synthesizing neuroactive kynurenine pathway intermediates.

  • Industrial Relevance: Thermostability makes it suitable for high-temperature bioprocessing .

  • Unresolved Questions: Structural data, substrate specificity, and regulatory mechanisms of kynU remain uncharacterized.

Comparative Genomics

G. thermodenitrificans shares metabolic genes with Bacillus spp., including:

  • Denitrification: nosZ gene clusters for nitrous oxide reduction .

  • Secretion Systems: Efficient extracellular enzyme secretion (e.g., cellulases, xylanases) .

Challenges and Future Directions

  • Genetic Tools: Optimized plasmid systems (e.g., pSTE33) improve transformation efficiency (>10⁵ CFU/μg) in G. thermodenitrificans .

  • Metabolic Engineering: CRISPR/Cas9 systems could enable kynU knockout/overexpression studies.

Product Specs

Form
Lyophilized powder. We will ship the in-stock format by default. If you have special format requirements, please note them when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipping, contact us in advance; additional fees apply.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute the protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon arrival. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
kynU; GTNG_3166Kynureninase; EC 3.7.1.3; L-kynurenine hydrolase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-428
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Geobacillus thermodenitrificans (strain NG80-2)
Target Names
kynU
Target Protein Sequence
MNSTALEPTL EFARKLDQED PLRHFRDEFY LPPNSIYMDG NSLGLLSKRA EKTLFTILQD WKLLGIDGWT KGTYPWFDLS EKIGAMLAPL VGASPEEVIA TGSTTVNLHQ LVSTFYQPEG KRTKILADEL TFPSDIYALQ SQLRIHGYDP STHLIRVKSR DGRFLEEEDI IAAMSEDVAL VVLPTVLYRS GQILDIQLLT DEAHKRGILI GFDACHSIGA IPHSFSEWGV DFAFWCNYKY MNGGPGCVAG LYVHRKHFGS APGLAGWFGS KKDKQFDMEH TFTPSLTAGA YQIGTPHLLS LAPLIGSLEI FQEAGIERIR QKSLQLTNYF MYLIEQELSH FGFIIGNPKD DVRRGGHISL EHEEAARICK SLKENGVIPD FRAPNIIRLA PIALYTSYEE VWNVVQIMKK IMQEKQYKKF SNEREVVA
Uniprot No.

Target Background

Function
Catalyzes the cleavage of L-kynurenine (L-Kyn) and L-3-hydroxykynurenine (L-3OHKyn) into anthranilic acid (AA) and 3-hydroxyanthranilic acid (3-OHAA), respectively.
Database Links
Protein Families
Kynureninase family

Q&A

What is the role of kynureninase (kynU) in the tryptophan degradation pathway?

Kynureninase (encoded by the kynU gene) serves as a key enzyme in the aerobic tryptophan degradation pathway in bacteria, specifically in the anthranilate pathway. This three-step pathway converts L-tryptophan to anthranilate through sequential enzymatic reactions:

  • Tryptophan 2,3-dioxygenase (encoded by kynA) converts L-tryptophan to N-formyl-L-kynurenine

  • Kynurenine formamidase (encoded by kynB) converts N-formyl-L-kynurenine to L-kynurenine

  • Kynureninase (encoded by kynU) catalyzes the hydrolysis of L-kynurenine to form anthranilic acid and L-alanine

This pathway has been experimentally verified through functional expression of the R. metallidurans kynBAU operon in Escherichia coli, providing concrete evidence linking these genes to the L-tryptophan aerobic degradation pathway in bacteria .

What makes Geobacillus thermodenitrificans an attractive source organism for recombinant enzyme production?

G. thermodenitrificans presents several advantageous characteristics for recombinant protein production:

Growth Properties:

  • Exhibits rapid growth at 60°C under neutral pH and relatively low-salt conditions

  • Demonstrates swarming motility but negligible endospore formation

Genetic Accessibility:

  • Highly transformable via electroporation, with optimized protocols achieving efficiencies of 10³ to 10⁵ CFU/μg for multiple plasmid types

  • Successfully accepts methylation-controlled plasmids from dam mutant strains of E. coli, suggesting a restriction-modification system

Protein Expression Capabilities:

  • Efficiently produces heterologous proteins from diverse organisms

  • Supports both intracellular and extracellular protein production

  • Shows peak protein production at 50°C for certain heterologous proteins

Library Construction Potential:

  • Proven capability as a host for screening genetic libraries at elevated temperatures

  • Successfully demonstrated in the construction of a library of promoter mutants

What methodologies are recommended for expressing recombinant G. thermodenitrificans kynU?

Expression Vector Selection:
Researchers should consider the following factors when choosing an expression system:

Vector PropertyRecommendationNotes
Copy NumberMedium to highDifferent plasmids show varying copy numbers in G. thermodenitrificans
Promotergk704 or derivativesStrong promoter demonstrated to drive substantial protein production
Selection MarkerCompatible with thermophilic growthMust function at elevated temperatures
CompatibilityCheck for co-transformation potentialSome plasmids are compatible for multiple expression targets

Host Selection:

  • G. thermodenitrificans K1041 for direct expression at elevated temperatures

  • E. coli dam mutant strains when using E. coli as an intermediate host to circumvent restriction-modification barriers

Expression Conditions:

  • Temperature: 50°C appears optimal for heterologous protein production

  • Medium composition: Avoid glycerol as it can lead to medium acidification and growth inhibition

  • Growth phase: Monitor carefully as expression levels may vary across growth phases

Transformation Method:

  • Electroporation is the recommended method, with specific electrical parameters optimized for G. thermodenitrificans K1041

  • The ΔresA mutant strain shows improved transformation efficiency (>10⁵ CFU/μg)

How does bacterial kynureninase function in relation to the broader kynurenine pathway?

The kynurenine pathway represents the main route for non-protein metabolism of the essential amino acid tryptophan . In this pathway, kynureninase fulfills several important functions:

Biochemical Role:

  • Catalyzes the hydrolytic cleavage of L-kynurenine to yield anthranilic acid and L-alanine

  • Functions as a pyridoxal 5′-phosphate (PLP)-dependent enzyme

  • Operates as part of a coordinated enzymatic cascade with tryptophan 2,3-dioxygenase and kynurenine formamidase

Pathway Integration:

  • Functions in the main tryptophan degradation pathway that accounts for approximately 99% of dietary tryptophan metabolism

  • Represents a critical branch point that can influence downstream metabolite production

  • Competes with other enzymes that utilize L-kynurenine as a substrate

Biological Significance:

  • Contributes to bacterial aromatic compound metabolism

  • Participates in nitrogen reclamation through amino acid catabolism

  • Represents a potential target for drug discovery, particularly in neurological applications

What experimental approaches are most effective for determining the kinetic parameters of thermostable kynureninase?

When characterizing the kinetic properties of G. thermodenitrificans kynureninase, researchers should employ specialized methodologies adapted for thermostable enzymes:

Temperature-Controlled Assay Systems:

  • Use water-jacketed reaction vessels or temperature-controlled microplate readers capable of maintaining precise temperatures up to 70°C

  • Ensure temperature equilibration of all reagents prior to initiating reactions

  • Verify temperature stability throughout the assay period

Substrate Considerations:

  • Assess L-kynurenine stability at elevated temperatures and adjust assay duration accordingly

  • Consider using higher substrate concentrations to account for potential thermal degradation

  • Verify linearity of reaction rates at various substrate concentrations and temperatures

Buffer Selection and pH Optimization:

  • Choose buffers with minimal temperature-dependent pKa shifts (e.g., phosphate or HEPES)

  • Determine pH optima at different temperatures, as pH optimum often shifts with temperature

  • Measure actual pH at the assay temperature rather than at room temperature

Analytical Methods:

ParameterMethodologyKey Considerations
Kynureninase ActivitySpectrophotometric monitoring of anthranilic acid formation (λ = 365 nm)Account for thermal effects on absorption coefficients
Enzyme StabilityResidual activity measurement after thermal incubationPre-incubate at test temperature before standard activity assay
Temperature DependenceArrhenius plot analysisDetermine activation energy (Ea) from slope of ln(k) vs 1/T
Substrate AffinityMichaelis-Menten kinetics at various temperaturesEvaluate both Km and kcat temperature dependence

Data Analysis Approaches:

  • Apply temperature compensation factors to standardize measurements

  • Use non-linear regression for Michaelis-Menten parameter determination

  • Consider enzyme thermal denaturation rates when interpreting extended assays

How can researchers optimize the thermostability and catalytic efficiency of recombinant G. thermodenitrificans kynU through protein engineering?

Rational Design Strategies:

  • Conduct comparative analysis of kynureninases from organisms with varying thermophilicity

  • Identify conserved catalytic residues that must be preserved during engineering

  • Target surface-exposed residues for stability-enhancing modifications

  • Introduce additional salt bridges or disulfide bonds to enhance thermal stability

Directed Evolution Approaches:

  • Utilize G. thermodenitrificans K1041 as a screening host for libraries at elevated temperatures

  • Design error-prone PCR protocols optimized for thermostable proteins

  • Develop high-throughput screening assays functional at 50-60°C

  • Implement iterative rounds of mutation and selection

Library Construction and Screening:
G. thermodenitrificans K1041 has demonstrated capability as a host for screening genetic libraries at elevated temperatures with the following considerations:

Library ParameterApproachNotes
Library SizeUp to 10³ clones demonstratedSignificantly larger than libraries constructed with other Geobacillus spp.
Transformation MethodOptimized electroporationUse ΔresA strain for higher efficiency
Screening Temperature55-60°CEnables direct selection for thermostability
Selection StrategyActivity-based assays at elevated temperatureMust be compatible with thermophilic growth conditions

Structure-Function Analysis:

  • Generate homology models based on related kynureninases with known structures

  • Conduct molecular dynamics simulations at elevated temperatures to identify flexibility hotspots

  • Apply B-factor analysis to identify regions susceptible to thermal motion

  • Engineer rigidifying mutations at flexible regions while preserving active site geometry

What are the critical factors for successfully reconstituting the complete kynurenine pathway using recombinant enzymes from G. thermodenitrificans?

Operon Design and Expression:

  • Maintain the natural gene organization (kynBAU) for coordinated expression

  • Consider utilizing native promoters and regulatory elements for balanced expression

  • Engineer suitable ribosome binding sites for each enzyme to ensure proper stoichiometry

  • Verify co-transcription of all three genes through RT-PCR or northern blot analysis

Enzyme Activity Balance:

  • Determine the relative activities of kynA, kynB, and kynU in the native organism

  • Adjust expression levels to minimize bottlenecks and intermediate accumulation

  • Monitor flux through the pathway using metabolite profiling

  • Optimize cofactor availability, particularly PLP for kynureninase activity

Multi-enzyme Reaction Conditions:

  • Identify buffer conditions compatible with all three enzymes

  • Determine the optimal temperature that balances activity and stability for all pathway components

  • Evaluate the need for substrate channeling or co-localization strategies

  • Develop regeneration systems for any required cofactors

Pathway Verification:

AnalysisMethodologyExpected Outcome
Functional ExpressionLC-MS analysis of culture mediaDetection of pathway intermediates and final products
Enzyme InteractionsPull-down assays or native PAGEEvidence of potential multi-enzyme complexes
Metabolic FluxIsotope labeling with ¹³C-tryptophanQuantification of carbon flow through the pathway
Bottleneck IdentificationMetabolite accumulation analysisDetection of rate-limiting steps

Validation and Optimization:

  • Demonstrate complete conversion of L-tryptophan to anthranilate

  • Compare efficiency to the individually expressed enzymes

  • Optimize reaction conditions for maximum throughput

  • Evaluate long-term stability of the reconstituted pathway

How do the regulatory mechanisms of the kynurenine pathway in G. thermodenitrificans compare to those in mesophilic bacteria?

Comparative Genomic Analysis:

  • Analyze the genomic context of the kynBAU operon in G. thermodenitrificans compared to mesophilic bacteria

  • Identify potential regulatory elements in promoter and operator regions

  • Compare the presence and arrangement of regulatory genes across species

  • Examine codon usage patterns as indicators of expression levels

Transcriptional Regulation:

  • Conduct RNA-seq analysis under varying growth conditions to identify regulatory triggers

  • Perform promoter fusion studies to characterize expression patterns

  • Identify potential transcription factors through DNA-protein interaction studies

  • Compare induction and repression mechanisms between thermophilic and mesophilic systems

Metabolic Integration:

  • Map the connections between the kynurenine pathway and other metabolic networks

  • Assess the impact of temperature on pathway flux using metabolomics approaches

  • Determine whether pathway regulation is primarily transcriptional, translational, or allosteric

  • Evaluate the energetic efficiency of the pathway at different growth temperatures

Temperature-Dependent Adaptation:

Regulatory AspectExperimental ApproachComparison Points
Gene OrganizationComparative genomicsOperon structure conservation across temperature niches
Regulatory ProteinsThermal stability analysis of regulatorsAdaptation of regulators to function at elevated temperatures
Response KineticsTime-course expression analysisSpeed of pathway induction at different temperatures
Metabolic FlexibilityAlternative carbon source testingPathway regulation under various nutrient conditions

While specific regulatory data for the G. thermodenitrificans kynurenine pathway is limited, these approaches would yield valuable insights into the thermal adaptation of metabolic regulation .

What methodological considerations are important when using G. thermodenitrificans kynU for biotransformation applications?

Reaction Engineering:

  • Optimize temperature for the balance between enzyme stability and activity (typically 50-60°C)

  • Determine optimal pH, considering both enzyme performance and substrate stability

  • Evaluate reaction formats (batch, fed-batch, or continuous) for maximum productivity

  • Consider immobilization strategies to enhance enzyme reusability

Substrate and Product Considerations:

  • Assess L-kynurenine solubility at reaction temperatures

  • Determine substrate inhibition thresholds and implement feeding strategies if needed

  • Develop product removal strategies if anthranilic acid exhibits inhibitory effects

  • Optimize substrate loading to maximize volumetric productivity

Process Stability:

  • Characterize the thermal deactivation kinetics of the enzyme under process conditions

  • Implement strategies to minimize enzyme denaturation during extended reactions

  • Consider the addition of stabilizing agents (osmolytes, specific ions, or cofactors)

  • Determine the operational stability under continuous processing conditions

Scale-up Parameters:

ParameterConsiderationImpact
Temperature ControlHeat transfer efficiencyCritical for maintaining optimal enzyme activity
MixingSubstrate homogeneityImportant for accurate kinetic analysis
Oxygen TransferIf aerobic conditions neededMay impact reaction rates and by-product formation
Process MonitoringOnline analyticsReal-time adjustment of reaction parameters

Analytical Methods:

  • Develop robust quantification methods for substrates and products

  • Implement quality control procedures to ensure consistent enzyme performance

  • Evaluate the need for in-process testing to monitor reaction progress

  • Consider the use of process analytical technology for real-time monitoring

How can the structurally-informed rational design of G. thermodenitrificans kynU improve its application in metabolic engineering?

Structural Analysis Approaches:

  • Generate a high-resolution crystal structure or homology model of G. thermodenitrificans kynU

  • Identify key catalytic residues through comparative analysis with characterized kynureninases

  • Map substrate binding sites and assess potential for engineering altered substrate specificity

  • Analyze quaternary structure and potential for enhancing stability through interface engineering

Active Site Engineering:

  • Identify residues involved in substrate recognition and catalysis

  • Design mutations to alter substrate preference while maintaining catalytic efficiency

  • Consider the spatial arrangement of catalytic residues at elevated temperatures

  • Evaluate the role of water molecules in the active site and their contribution to catalysis

Protein Stabilization Strategies:

  • Introduce thermostabilizing mutations based on consensus approaches

  • Engineer disulfide bonds at positions identified through computational analysis

  • Consider surface charge optimization to enhance solubility at elevated temperatures

  • Evaluate the potential for domain stabilization through targeted rigidification

Metabolic Integration Optimization:

Engineering AspectApproachExpected Outcome
Substrate ChannelingCo-localization with pathway enzymesEnhanced pathway flux
Cofactor BindingModification of PLP binding pocketImproved cofactor retention at high temperatures
Activity/Stability BalanceAncestral sequence reconstructionOptimized performance under process conditions
Protein-Protein InteractionsInterface engineeringEnhanced complex formation with pathway partners

Validation Methods:

  • In vitro characterization of engineered variants

  • In vivo testing in G. thermodenitrificans K1041 expression system

  • Metabolic flux analysis to quantify pathway improvements

  • Long-term stability testing under process conditions

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