Recombinant Escherichia coli Probable 2-keto-3-deoxy-galactonate aldolase YagE (yagE)

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Product Specs

Form
Lyophilized powder. We will preferentially ship the format we have in stock. 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, please contact us in advance; extra fees apply.
Notes
Avoid repeated freeze-thaw cycles. Working aliquots are stable at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute 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 is generally stable for 6 months at -20°C/-80°C. Lyophilized form is generally stable for 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. 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
yagE; b0268; JW0261; Putative 2-dehydro-3-deoxy-D-gluconate aldolase YagE; KDG aldolase YagE; EC 4.1.2.51; Putative 2-dehydro-3-deoxy-D-pentonate aldolase YagE; EC 4.1.2.28
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-302
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Escherichia coli (strain K12)
Target Names
yagE
Target Protein Sequence
MPQSALFTGI IPPVSTIFTA DGQLDKPGTA ALIDDLIKAG VDGLFFLGSG GEFSQLGAEE RKAIARFAID HVDRRVPVLI GTGGTNARET IELSQHAQQA GADGIVVINP YYWKVSEANL IRYFEQVADS VTLPVMLYNF PALTGQDLTP ALVKTLADSR SNIIGIKDTI DSVAHLRSMI HTVKGAHPHF TVLCGYDDHL FNTLLLGGDG AISASGNFAP QVSVNLLKAW RDGDVAKAAG YHQTLLQIPQ MYQLDTPFVN VIKEAIVLCG RPVSTHVLPP ASPLDEPRKA QLKTLLQQLK LC
Uniprot No.

Target Background

Function
Catalyzes the formation of 2-keto-3-deoxy-gluconate (KDG) from pyruvate and glyceraldehyde. May also act as a 2-dehydro-3-deoxy-D-pentonate aldolase. Overexpression increases growth (over 2 hours) in the presence of norfloxacin, ampicillin, and streptomycin.
Database Links
Protein Families
DapA family
Subcellular Location
Cytoplasm.

Q&A

What is YagE and what is its biochemical function?

YagE is a 33 kDa prophage protein encoded by the CP4-6 prophage element in the Escherichia coli K12 genome. Biochemically, it functions as a 2-keto-3-deoxy gluconate (KDG) aldolase, catalyzing the aldol condensation of pyruvate and glyceraldehyde . This enzymatic activity is particularly interesting because E. coli K12 genome lacks an intrinsic KDG aldolase, suggesting that YagE provides this function as a result of prophage integration .

What substrate specificity does YagE demonstrate?

YagE demonstrates specificity for pyruvate and glyceraldehyde in aldol condensation reactions. Structural studies have revealed that YagE can form complexes with pyruvate and 2-keto-3-deoxy galactonate (KDGal), which have been determined at 2.2Å resolution (PDB Id 3N2X and 3NEV, respectively) . The ability to interact with these specific substrates suggests a defined binding pocket that accommodates these molecular structures.

How is YagE related to bacterial antibiotic resistance?

Over-expression of YagE has been shown to increase cell viability in the presence of certain bactericidal antibiotics. This suggests that YagE may function as a prophage-encoded virulence factor that enables bacterial survival under antibiotic pressure . The mechanism through which YagE confers this protective effect is still being investigated, but it appears to be related to its enzymatic activity rather than through traditional antibiotic resistance mechanisms.

What expression systems are most effective for producing recombinant YagE?

For optimal expression of recombinant YagE, E. coli-based expression systems are most commonly used. The most effective approach involves using a defective λ prophage system that allows for tight regulation of gene expression through a temperature-dependent repressor . Expression can be induced by shifting cultures to 42°C for approximately 15 minutes, which activates the prophage genes including the recombinant YagE construct . This system is particularly advantageous because it does not require host RecA function and depends primarily on Exo, Beta, and Gam functions expressed from the defective λ prophage.

What purification strategy yields the highest purity of recombinant YagE?

For high-purity YagE isolation, a multi-step purification strategy is recommended:

  • Initial clarification by centrifugation of cell lysate at 8,000g for 30 minutes

  • Ammonium sulfate precipitation to concentrate the protein

  • Ion exchange chromatography using a gradient of salt concentration

  • Size exclusion chromatography as a polishing step

This protocol, similar to that used for other enzymatic proteins, typically yields protein with >95% purity suitable for enzymatic and structural studies . For activity studies, inclusion of a stabilizing agent such as glycerol (10%) in the final buffer helps maintain enzyme stability during storage.

How can the catalytic activity of YagE be measured in vitro?

The catalytic activity of YagE can be measured through a pyruvate depletion assay in the presence of glyceraldehyde . A standard protocol involves:

  • Prepare reaction mixture containing:

    • 50 mM potassium phosphate buffer (pH 7.5)

    • 0.5-5.0 mM pyruvate

    • 0.5-5.0 mM glyceraldehyde

    • 0.1-1.0 μg purified YagE enzyme

  • Incubate at 37°C for 15-30 minutes

  • Measure pyruvate depletion using:

    • Colorimetric assay with 2,4-dinitrophenylhydrazine

    • HPLC analysis of reaction products

    • Coupled enzyme assay with lactate dehydrogenase

The formation of 2-keto-3-deoxy gluconate can be detected by gas chromatography-mass spectrometry (GC-MS) after appropriate derivatization, similar to methods used for KDGal analysis .

What are the optimal reaction conditions for YagE activity?

Based on structural and functional studies, the optimal conditions for YagE activity are:

ParameterOptimal RangeNotes
pH7.5-8.0Activity decreases significantly below pH 6.5 and above pH 8.5
Temperature37-40°CThermal stability decreases above 45°C
BufferPhosphate or Tris-HCl50-100 mM concentration
CofactorsNone requiredYagE does not require metal ions for catalysis
Substrate concentration0.5-2.0 mMHigher concentrations may cause substrate inhibition

These conditions can be adapted based on specific experimental requirements and the purity of the enzyme preparation .

What structural features determine YagE's substrate specificity?

The crystal structures of YagE complexes with pyruvate (PDB Id 3N2X) and KDGal (PDB Id 3NEV) reveal key structural determinants of substrate specificity . The binding pocket contains specific residues that interact with the α-keto group of pyruvate and the hydroxyl groups of the aldehyde substrate. These interactions include:

  • A catalytic lysine residue that forms a Schiff base with the α-keto group of pyruvate

  • Hydrogen bonding networks that properly orient the substrates

  • Hydrophobic residues that create a pocket accommodating the carbon backbone of the substrates

These structural features allow YagE to specifically catalyze the aldol condensation of pyruvate and glyceraldehyde rather than other potential substrate combinations .

How can site-directed mutagenesis be used to investigate YagE function?

Site-directed mutagenesis is a powerful approach for investigating YagE function by targeting specific residues identified from structural studies. A methodological approach includes:

  • Identify key residues from crystal structures (PDB Id 3N2X and 3NEV)

  • Design mutagenic primers that introduce specific amino acid substitutions

  • Perform PCR-based mutagenesis using a recombination system with electroporated linear DNA

  • Express and purify mutant proteins using the same protocol as wild-type

  • Compare kinetic parameters of mutants with wild-type to determine the role of specific residues

This approach can be particularly effective when combined with an efficient chromosome engineering system in E. coli that utilizes a defective λ prophage to supply recombination functions . This allows for the integration of mutations directly into the bacterial chromosome for in vivo studies.

How does YagE contribute to bacterial physiology and survival?

YagE appears to play a significant role in bacterial survival under stress conditions, particularly in the presence of bactericidal antibiotics . The evidence suggests that:

  • Over-expression of YagE increases cell viability in the presence of certain antibiotics

  • YagE provides a metabolic function (KDG aldolase activity) that is absent in the native E. coli K12 genome

  • As a prophage-encoded protein, YagE may contribute to the adaptive advantages conferred by prophage integration

These observations suggest that YagE may function as a virulence factor by enabling metabolic flexibility or stress response pathways that protect bacteria from antibiotics .

Can YagE be utilized in enzyme-based biosensors?

YagE's specific aldolase activity makes it a potential candidate for enzyme-based biosensor applications. Similar to other oxidase enzymes that have been successfully immobilized onto electrode arrays, YagE could be incorporated into biosensing platforms . A methodological approach would involve:

  • Immobilization of YagE onto electrode surfaces using hydrogel photolithography:

    • Prepare PEG diacrylate (DA)-based prepolymer containing YagE

    • Spin-coat the mixture onto electrode arrays

    • UV cross-link to create enzyme-carrying hydrogel structures

  • Integration with redox species (e.g., vinylferrocene) to facilitate electron transfer

  • Detection of substrate conversion using amperometric or voltammetric methods

This approach could potentially be used for detecting YagE substrates or products in complex biological samples, similar to other enzyme-based electrochemical biosensors .

How can orphan reaction annotation tools help understand YagE's evolutionary relationships?

YagE represents a case where computational approaches for orphan reaction annotation can provide valuable insights. The BridgIT method, which identifies candidate genes for orphan reactions by assessing reaction similarity, could be applied to understand YagE's evolutionary relationships . This methodology involves:

  • Analyzing the substrate reactive sites, surrounding structures, and product structures

  • Comparing these features to well-characterized non-orphan reactions

  • Identifying enzymes with similar catalytic mechanisms and substrate preferences

  • Building phylogenetic relationships based on structural and functional similarities

BridgIT requires knowledge about only four connecting bonds around the atoms of the reactive sites to correctly annotate proteins for 93% of analyzed enzymatic reactions . This approach could help place YagE within the broader context of aldolase evolution and potentially identify other related proteins with similar functions.

What high-throughput approaches can be used to identify optimal conditions for YagE activity?

For comprehensive characterization of YagE activity under various conditions, a Box-Behnken design experimental approach can be utilized, similar to methods used for optimizing enzymatic processes . This would involve:

  • Identifying key variables affecting enzyme activity:

    • Enzyme concentration (e.g., 1.0-4.0%)

    • Reaction temperature (e.g., 55-60°C)

    • Incubation time (e.g., 4-8 hours)

    • pH of the reaction medium (e.g., 7.5-9.5)

    • Substrate/buffer ratio

  • Creating a matrix of experimental conditions using statistical design software (e.g., Minitab)

  • Analyzing results to determine optimal conditions and interactions between variables

  • Validating predicted optimal conditions with confirmatory experiments

This approach allows for efficient exploration of multiple variables simultaneously and identification of their interactions, resulting in a more comprehensive understanding of factors affecting YagE activity .

How can multi-step enzymatic processes incorporating YagE be developed for biochemical production?

YagE could be incorporated into multi-step enzymatic production systems, similar to those used for 2-keto-3-deoxy-galactonate production from red macroalgae-derived agarose . A methodological approach would include:

  • Identifying compatible upstream and downstream enzymes that work under similar conditions

  • Optimizing enzyme ratios and reaction conditions for each step

  • Developing purification strategies for intermediate and final products

  • Considering immobilization techniques for enzyme recycling and continuous production

For example, YagE could be paired with other enzymes in a cascade reaction to convert complex carbohydrates to value-added products, with each enzymatic step carefully optimized for compatibility with the others .

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