Recombinant Endo-1,6-beta-glucanase

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Description

Catalytic Mechanism Engineering

Critical advancements involve site-directed mutagenesis to create hydrolysis-deficient variants while retaining binding capability:

Key Mutations:

  • Glu → Gln substitutions at catalytic sites (e.g., E321Q in Cryptococcus neoformans Neg1)

  • Double mutants (E225Q/E321Q) showing enhanced binding stability

Functional Outcomes:

  • Complete loss of hydrolytic activity (0% residual activity in Neg1-E321Q)

  • Maintained β-1,6-glucan binding with dissociation constant (K<sub>D</sub>) of 16.4 nM

  • Stable activity after 2-year storage at 4°C

Detection System Applications

Modified recombinant variants serve as core components in β-1,6-glucan detection platforms:

Sandwich ELISA Development14:

  • Detection limit: 0.31–4.88 ng/ml β-1,6-glucans

  • Specificity: No cross-reactivity with β-1,3-glucans

  • In vivo validation: Serum detection in mice within 30 min post-injection

Fungal Cell Wall Analysis3:

  • Localized β-1,6-glucan in M. oryzae structures:

    • Hyphae: Uniform cell wall distribution

    • Appressoria: Concentrated at infection interface

    • Conidia: Surface-associated patterning

Antifungal Potential

Recombinant endo-β-1,6-glucanases demonstrate direct antifungal effects:

Effect on M. oryzaeConcentrationOutcome
Conidial germination inhibition0.02 μg/μl50% reduction
Appressorium formation block0.03 μg/μlComplete suppression
ROS accumulation0.1 μg/μl24.6-fold YAP1 gene upregulation

Mechanistic impacts include:

  • Cell wall integrity disruption

  • Compensatory upregulation of chitin synthases (MoCHS5-7: 8.6–9.3× increase)

  • Oxidative stress induction via YAP1 pathway activation

Comparative Analysis of Engineered Variants

VariantBinding CapacityHydrolytic ActivityStability
Neg1-E225Q Moderate0%>2 years at 4°C
Neg1-E321Q High (K<sub>D</sub>16.4nM)0%>2 years at 4°C
MoGlu16-E236A Retained fluorescence0%Experimental use

Research Frontiers

  1. Diagnostic Tool Development: Integration with lateral flow assays for point-of-care fungal detection

  2. Agricultural Applications: Field trials for rice blast control using MoGlu16 variants

  3. Structural Optimization: Computational design of GH30 family enzymes for improved thermostability

Product Specs

Form
Lyophilized powder. We will preferentially ship the available format, but if you have specific requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. If you require dry ice shipping, please contact us in advance, as additional charges will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect the 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 various 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 arrival. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it accordingly.
Synonyms
Endo-1,6-beta-glucanase; EC 3.2.1.75; Fragment
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-20
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Acremonium sp.
Target Protein Sequence
WLSGVDKIRG VNLGSAFIIE
Uniprot No.

Target Background

Function
Endo-1,6-beta-glucanase exhibits highest activity against the beta-1,6-glucan pustulan. It is also active against the beta-1,6-glucan lutean, with lower activity against laminarin (beta-1,3-glucan with beta-1,6-branches). It shows little or no activity against gentiobiose, yeast glucan, lichenin, scleroglucan, curdlan, barley glucan, CM cellulose, HE cellulose, pachyman, and pullulan.
Protein Families
Glycosyl hydrolase 5 (cellulase A) family
Subcellular Location
Secreted, extracellular space.

Q&A

What is endo-1,6-beta-glucanase and how does it differ from other glucanases?

Endo-1,6-beta-glucanase (EC 3.2.1.75, also called pustulanase) is an enzyme that specifically hydrolyzes the internal β-1,6-glycosidic bonds in β-1,6-glucans, a key polysaccharide component found in fungal cell walls. Unlike exo-glucanases that cleave terminal residues, endo-glucanases randomly break internal bonds in polysaccharide chains.

The primary distinction between endo-1,6-beta-glucanase and other glucanases like endo-1,3-beta-glucanase (EC 3.2.1.39, laminarinase) is substrate specificity:

  • Endo-1,6-beta-glucanase: Cleaves internal β-1,6-glycosidic bonds in pustulan and other β-1,6-glucans

  • Endo-1,3-beta-glucanase: Cleaves internal β-1,3-glycosidic bonds in laminarin and other β-1,3-glucans

This specificity makes endo-1,6-beta-glucanase valuable for studying fungal cell wall architecture and developing diagnostic tools for fungal infections .

What are the natural sources of endo-1,6-beta-glucanase?

Endo-1,6-beta-glucanase has been identified and isolated from various fungal species. Notable sources include:

OrganismGeneCharacteristicsReference
Neurospora crassaneg11443-bp gene encoding 463 amino acids with 17 amino acid signal peptide
Trichoderma harzianumThBGL1.6Member of GH5 family; molecular mass of 46 kDa
Magnaporthe oryzaeMoGlu16Highly active on pustulan at pH 5.0 and 50°C

Several studies note that endo-1,6-beta-glucanase genes are not widely distributed among fungi and yeasts, making the identification of new enzymes particularly valuable. When cloning neg1 from Neurospora crassa, researchers noted that "no genes similar in sequence were found in yeasts and fungi" .

What are the main substrates for endo-1,6-beta-glucanase?

The primary substrate for endo-1,6-beta-glucanase is pustulan, a linear β-1,6-glucan derived from the lichen Umbilicaria pustulata. The enzyme also shows activity toward other β-1,6-linked glucans:

SubstrateDescriptionRelative ActivityReference
PustulanLinear β-1,6-linked glucose polymerHigh (benchmark)
AgCASMushroom-derived soluble β-1,6-glucanVariable
β-1,6-glucans from fungal cell wallsStructural components in fungi like Candida albicansDetectable

Importantly, studies show that recombinant endo-1,6-beta-glucanases show strong specificity for β-1,6-linkages, with minimal activity on β-1,3-glucans like laminarin, pachyman, or schizophyllan .

What expression systems are most effective for producing recombinant endo-1,6-beta-glucanase?

Several expression systems have been successfully used to produce recombinant endo-1,6-beta-glucanase, each with distinct advantages:

Expression HostGene SourceAdvantagesYield/ActivityReference
Escherichia coliNeurospora crassa neg1Rapid growth, simple media requirementsFunctional enzyme with β-1,6-glucanase activity
Pichia pastorisMagnaporthe oryzae MoGlu16Eukaryotic processing, high expressionHigh activity (219.0 U/mg)
Penicillium verruculosumTrichoderma harzianum ThBGL1.6Native fungal processing, high yieldObserved molecular mass of 46 kDa

For obtaining functionally active enzyme, the selection of expression system should consider:

  • Requirement for post-translational modifications

  • Scale of production needed

  • Downstream purification complexity

  • Intended application (e.g., structural studies vs. functional assays)

The most efficient system appears to be fungal hosts for fungal enzymes, as they provide appropriate processing machinery for correct folding and post-translational modifications .

How do you design effective constructs for endo-1,6-beta-glucanase expression?

Designing effective expression constructs requires consideration of several key elements:

  • Signal sequence selection: Either retain the native signal peptide or replace with a host-optimized secretion signal. For the Neurospora crassa enzyme, the native signal peptide comprises 17 amino acids .

  • Codon optimization: Adjust codons based on the expression host's preference. This is particularly important for heterologous expression in systems like E. coli or Pichia pastoris.

  • Fusion tags for purification: Commonly used tags include:

    • Polyhistidine (6×His) tags for IMAC purification

    • GFP fusion for visualization and localization studies (as used for MoGlu16)

  • Promoter selection: For inducible expression, appropriate promoters include:

    • T7 promoter (for E. coli)

    • AOX1 promoter (for Pichia pastoris)

    • Strong constitutive promoters for fungal expression systems

  • Termination sequences: Include appropriate transcription terminators for the host system.

For catalytic studies, site-directed mutagenesis approaches targeting key catalytic residues (such as glutamic acid residues E236 and E332 in MoGlu16) have been used to create variants with modified activities .

What are the catalytic mechanisms of endo-1,6-beta-glucanase?

Endo-1,6-beta-glucanases typically employ a retaining mechanism involving two critical glutamic acid residues that serve as the catalytic acid/base and nucleophile. The catalytic mechanism proceeds as follows:

  • The catalytic glutamic acid residues (e.g., Glu-225 and Glu-321 in Neg1 from Neurospora crassa) are positioned to interact with the β-1,6-glycosidic bond .

  • One glutamic acid acts as an acid catalyst, donating a proton to the glycosidic oxygen.

  • The second glutamic acid acts as a nucleophile, attacking the anomeric carbon to form a covalent glycosyl-enzyme intermediate.

  • Hydrolysis of this intermediate by water completes the reaction, releasing the cleaved glucan fragments.

This mechanism is similar across glycoside hydrolase family 30 (GH30) enzymes, which typically display retaining mechanisms for glycosidic bond hydrolysis .

How do mutations in the catalytic domain affect substrate binding and hydrolytic activity?

Strategic mutations in the catalytic domain can dramatically alter enzyme function while preserving structure, as demonstrated in several studies:

EnzymeMutationEffect on ActivityEffect on BindingReference
Neg1 (N. crassa)E225QLoss of hydrolase activityPreserved binding
Neg1 (N. crassa)E321QComplete loss of hydrolase activityStrong binding (KD = 16.4 nM)
MoGlu16 (M. oryzae)E236ALoss of hydrolytic activityPreserved binding
MoGlu16 (M. oryzae)E332ALoss of hydrolytic activityPreserved binding

The Neg1-E321Q variant has been particularly well-characterized. When tested with pustulan:

  • It showed no measurable Km value for hydrolytic activity

  • It maintained binding affinity (KD = 1.64 × 10⁻⁸ M) as measured by bio-layer interferometry

  • The binding was stable even after 2 years of storage

This separation of binding from catalytic function has enabled the development of novel detection tools for β-1,6-glucans in diagnostic applications .

What factors affect the thermal and pH stability of recombinant endo-1,6-beta-glucanase?

The thermal and pH stability profiles vary among different recombinant endo-1,6-beta-glucanases:

EnzymeOptimal pHOptimal TemperatureThermal StabilitypH Stability RangeReference
ThBGL1.6 (T. harzianum)5.050°CStable for at least 3h at 45°CNot specified
MoGlu16 (M. oryzae)5.050°CNot specifiedNot specified
Neg1-E321Q variantNot specifiedStable up to 40°CBinding function lost at ≥60°C (5 min)Not specified

Several factors influence stability:

  • Buffer composition: Presence of stabilizing agents (glycerol, BSA)

  • Metal ions: Some β-glucanases require divalent cations for stability

  • Glycosylation: Post-translational modifications in eukaryotic expression systems may enhance stability

  • Storage conditions: Enzyme activity can be preserved with proper storage conditions, as demonstrated with Neg1-E321Q, which maintained binding activity after 2 years of storage

How can recombinant endo-1,6-beta-glucanase be used for detecting fungal infections?

Recombinant endo-1,6-beta-glucanase, particularly catalytically inactive variants, offers novel approaches for detecting fungal infections:

  • Sandwich ELISA systems: Using modified enzymes like Neg1-E321Q as capture and detection reagents, researchers have developed highly specific assays for β-1,6-glucan, a key fungal biomarker .

  • Detection of fungal polysaccharides in clinical samples: The Neg1-E321Q-based ELISA system successfully detected:

    • β-1,6-glucan in culture supernatants of Candida albicans

    • Circulating β-1,6-glucan in mouse serum after infection

    • Distinction between β-1,6-glucan-producing and β-1,6-glucan-deficient strains

  • Complementary diagnostic approach: β-1,6-glucan detection can complement existing β-1,3-glucan assays (like the LAL test):

    • β-1,3-glucan assays sometimes yield false positives due to cross-reactivity

    • β-1,6-glucan detection is highly specific to fungi

    • Combined testing may improve diagnostic accuracy

The research demonstrates that β-1,6-glucan can be detected in serum for up to 30 minutes after administration, providing a potential diagnostic window for fungal infections .

How can recombinant endo-1,6-beta-glucanase be used to study fungal cell wall architecture?

Recombinant endo-1,6-beta-glucanases, especially hydrolytically inactive variants fused with fluorescent proteins, enable detailed studies of fungal cell wall architecture:

  • Visualization of β-1,6-glucan distribution: In Magnaporthe oryzae, researchers used GFP-tagged MoGlu16 with point mutations (His-MoGlu16 E236A-GFP) to selectively visualize β-1,6-glucan in:

    • Vegetative hyphae

    • Conidia

    • Bud tubes

  • Probing cell wall remodeling dynamics: Treatment with active endo-1,6-beta-glucanase showed:

    • Inhibition of spore germination and appressorium formation

    • Production of reactive oxygen species

    • Triggering of the cell wall integrity pathway

    • Upregulation of genes involved in cell wall polysaccharide synthesis

  • Differential labeling approaches: Combining β-1,6-glucanase probes with other cell wall-specific reagents allows mapping of the spatial relationships between different cell wall components.

These approaches provide insights into fungal cell wall composition and dynamics that were previously difficult to obtain, offering new understanding of fungal pathogenesis and potential antifungal targets .

What are the optimal assay conditions for measuring endo-1,6-beta-glucanase activity?

Standard conditions for measuring endo-1,6-beta-glucanase activity typically include:

ParameterTypical ConditionsVariationsReference
SubstratePustulan (4 mg/mL)Concentration range: 1-10 mg/mL
BufferAcetate or citrate bufferpH 4.0-6.0
pH5.0Optimal range typically 4.5-5.5
Temperature50°CRange: 37-55°C
Reaction time30 minutes5-60 minutes depending on enzyme concentration
Detection methodDNS (dinitrosalicylic acid) methodHPLC for product analysis

For the DNS method:

  • React 50 μL substrate solution (4 mg/mL) with 150 μL enzyme solution

  • Incubate at optimal temperature (typically 50°C) for 30 minutes

  • Add 300 μL DNS reagent and boil for 5 minutes

  • Measure absorbance at 540 nm

  • Calculate reducing sugar content using a glucose standard curve

One unit of enzyme activity (U) is defined as the amount required to produce 1 μmol of reducing sugar (measured as glucose) per minute under the specified conditions .

How can the specificity of recombinant endo-1,6-beta-glucanase be validated?

Validating the specificity of recombinant endo-1,6-beta-glucanase requires multiple approaches:

  • Substrate panel testing: Compare activity on different glucans:

    • Pustulan (β-1,6-glucan standard)

    • Laminarin (β-1,3-glucan with some β-1,6 branches)

    • Pachyman (β-1,3-glucan)

    • Single-strand SPG (schizophyllan, β-1,3-glucan)

    • AgCAS (mushroom-derived β-1,6-glucan)

  • Comparing with established assays: The Limulus amebocyte lysate (LAL) test reacts strongly with β-1,3-glucans but minimally with β-1,6-glucans. Testing the same samples with both assays can validate specificity .

  • Genetic validation: Using mutant strains with deficiencies in specific glucan synthesis pathways:

    • The C. albicans Cabig1Δ strain BIG104 (impaired β-1,6-glucan biosynthesis)

    • Reconstituted C. albicans strain BIG105 (intact β-1,6-glucan biosynthesis)

    Comparing enzyme reactivity between these strains confirmed the specificity for β-1,6-glucan .

  • Product analysis: Using HPLC or other analytical techniques to characterize the hydrolysis products and confirm the expected cleavage pattern (e.g., production of gentiobiose from pustulan by ThBGL1.6) .

How can protein engineering improve the stability and specificity of endo-1,6-beta-glucanase?

Protein engineering approaches to enhance endo-1,6-beta-glucanase properties include:

  • Site-directed mutagenesis of catalytic residues:

    • Glutamic acid to glutamine (E→Q) mutations in Neg1 (positions E225 and E321)

    • Glutamic acid to alanine (E→A) mutations in MoGlu16 (positions E236 and E332)

    These mutations eliminated hydrolytic activity while preserving binding, creating effective detection probes .

  • Fusion protein strategies:

    • GFP fusion for visualization (His-MoGlu16 E236A-GFP)

    • Fusion with signal sequences for secretion

    • Fusion with affinity tags for purification and immobilization

  • Stability enhancement strategies:

    • Disulfide engineering to increase thermostability

    • Glycosylation site optimization for enhanced stability in eukaryotic systems

    • Consensus sequence approaches based on multiple sequence alignments

  • Function-based screening:

    • Directed evolution with high-throughput screening for enhanced properties

    • Rational design based on structural insights and computational modeling

The most successful example to date is the Neg1-E321Q variant, which exhibits high binding affinity (KD = 16.4 nM) to pustulan while completely losing hydrolytic activity, creating an ideal detection probe .

What potential exists for developing antifungal strategies based on endo-1,6-beta-glucanase?

Research with recombinant endo-1,6-beta-glucanase suggests several promising antifungal strategies:

  • Direct enzymatic degradation of fungal cell walls:

    • Treatment with MoGlu16 (0.03 μg/μl) significantly inhibited spore germination and appressorium formation in M. oryzae

    • Enzyme treatment triggered reactive oxygen species production and activated cell wall integrity pathways

  • Combination therapy approaches:

    • Using endo-1,6-beta-glucanase to increase permeability of fungal cell walls to conventional antifungals

    • Dual targeting of different cell wall components with multiple enzymes

  • Immunotherapeutic strategies:

    • Using catalytically inactive variants as targeting moieties for delivery of antifungal agents

    • Development of antibody-enzyme conjugates for targeted therapy

  • Novel target identification:

    • Studying cellular responses to enzyme treatment can reveal critical pathways for cell wall integrity

    • Upregulation of genes involved in cell wall polysaccharide synthesis following enzyme treatment identifies potential new drug targets

The ability of endo-1,6-beta-glucanase to disrupt fungal growth suggests it could be developed as a biological control agent, particularly for agricultural applications against pathogens like M. oryzae .

What are the current challenges in developing endo-1,6-beta-glucanase as a diagnostic tool?

Despite promising results, several challenges remain in developing endo-1,6-beta-glucanase-based diagnostics:

  • Sensitivity optimization: Current sandwich ELISA systems using Neg1-E321Q can detect β-1,6-glucan in laboratory settings, but further optimization is needed for clinical samples with lower biomarker concentrations .

  • In vivo detection window: Studies show that injected β-1,6-glucan is detectable in mouse serum for only 30 minutes, raising questions about the optimal timing for sample collection in suspected infections .

  • Standardization of β-1,6-glucan quantification: Unlike β-1,3-glucan assays, which have established clinical thresholds, β-1,6-glucan detection requires development of standardized reference materials and clinical cutoff values.

  • Point-of-care format development: Transitioning from laboratory-based ELISA to rapid diagnostic formats suitable for clinical settings requires additional engineering and validation.

  • Comparison with existing diagnostic methods: Large-scale clinical studies comparing β-1,6-glucan detection with established methods (culture, PCR, β-1,3-glucan) are needed to establish clinical utility.

Addressing these challenges could lead to more accurate diagnosis of invasive fungal infections, which remain a significant cause of morbidity and mortality in immunocompromised patients .

How might advanced analytical techniques enhance our understanding of endo-1,6-beta-glucanase mechanisms?

Advanced analytical techniques could provide deeper insights into endo-1,6-beta-glucanase function:

  • Structural biology approaches:

    • X-ray crystallography of enzyme-substrate complexes

    • Cryo-EM analysis of enzyme interactions with polymeric substrates

    • NMR studies of enzyme dynamics during catalysis

  • Single-molecule enzymology:

    • Real-time visualization of individual hydrolysis events

    • Force spectroscopy to measure binding energetics

    • Single-molecule FRET to monitor conformational changes

  • Systems biology integration:

    • Proteomics analysis of fungal responses to enzyme treatment

    • Transcriptomics to identify regulatory networks triggered by cell wall damage

    • Metabolomics of released oligosaccharides and cellular response molecules

  • Advanced imaging techniques:

    • Super-resolution microscopy of enzyme localization in fungal cell walls

    • Label-free imaging of cell wall alterations during enzyme treatment

    • Correlative light and electron microscopy to link enzyme activity with ultrastructural changes

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