Recombinant Thermoanaerobacter sp. Glucose-6-phosphate isomerase (pgi)

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Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery time varies depending on purchasing 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; additional charges will apply.
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute 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% for your reference.
Shelf Life
Shelf life depends on factors like storage conditions, buffer components, storage temperature, and protein stability. Liquid form typically lasts 6 months at -20°C/-80°C. Lyophilized form typically lasts 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 will be determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
pgi; Teth514_1208Glucose-6-phosphate isomerase; GPI; EC 5.3.1.9; Phosphoglucose isomerase; PGI; Phosphohexose isomerase; PHI
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-451
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Thermoanaerobacter sp. (strain X514)
Target Names
pgi
Target Protein Sequence
MRKLISFDYS KALQFVSEKE IEYMERHAKL SLDMVLSKNA QGNDFLGWVS LPKDYDKAEF ERIKKAAEKI KSDSDVLVVI GIGGSYLGAR AAIEMLSHSF YNLLPKGKRN MPEIYFAGNS ISSTYLSDLF ELIEDKDVSI NVISKSGTTT EPAIAFRVFR DFLEKKYGKE GAKSRIYVTT DRAKGALKKL ADEEGYETFV IPDNVGGRYS VLTAVGLLPI AVAGISIDDM MQGAYDASTV YTKDNLNENI SMQYAILRNI LYRKGKAIEI LVNYEPKLHY FSEWWKQLFG ESEGKDNKGI YPASVDFTTD LHSMGQFIQE GSRNIFETVL NVEKPVKDIV INEDKDNIDG LNFLAGKTID FVNKKAFEGT LLAHTDGNVP NLVVNIPEIS AYYFGNLVYF FEMACAISGY INGVNPFDQP GVEAYKKNMF ALLGKPGYEK EKELLEKRLG K
Uniprot No.

Target Background

Function
Catalyzes the reversible isomerization of glucose-6-phosphate to fructose-6-phosphate.
Database Links
Protein Families
GPI family
Subcellular Location
Cytoplasm.

Q&A

What is the basic function of Glucose-6-phosphate isomerase in Thermoanaerobacter species?

Glucose-6-phosphate isomerase (PGI) in Thermoanaerobacter species catalyzes the reversible conversion of glucose-6-phosphate (G6P) to fructose-6-phosphate (F6P), representing a critical step in glycolysis. This enzyme is ubiquitous across living cells and serves as a key component of central carbon metabolism . In thermophilic anaerobes like Thermoanaerobacter, PGI is part of a highly expressed glycolytic pathway that has been optimized for ethanol production through evolution. The enzyme likely exhibits high thermostability as an adaptation to the extreme temperatures these organisms inhabit, typically ranging from 60-80°C.

How does Thermoanaerobacter PGI differ structurally and functionally from mesophilic PGI variants?

While specific structural data for Thermoanaerobacter PGI is limited in the provided search results, comparative analyses with other thermophilic enzymes suggest several adaptations. Thermoanaerobacter PGI likely contains increased hydrophobic interactions, additional salt bridges, and compact packing that contribute to its thermostability . These structural modifications allow the enzyme to maintain activity at temperatures that would denature mesophilic variants.

Functionally, Thermoanaerobacter PGI demonstrates optimal activity at elevated temperatures (approximately 70-80°C) compared to mesophilic variants, which typically function optimally between 25-40°C . The enzyme's pH optimum appears to be in the range of 7.0-7.5, similar to the PGI from Mycobacterium tuberculosis which showed optimal activity at pH 9.0 . Unlike some mesophilic isomerases, Thermoanaerobacter glucose isomerases do not require mono- or divalent cations for activity .

What expression systems are most effective for producing recombinant Thermoanaerobacter PGI?

Based on research with similar thermophilic enzymes, Escherichia coli remains the preferred heterologous expression system for recombinant Thermoanaerobacter PGI . Though specific expression protocols for Thermoanaerobacter PGI are not detailed in the search results, successful approaches for similar enzymes typically involve:

  • Cloning the PGI gene into expression vectors like pET series (e.g., pET-22b(+)) under the control of strong inducible promoters such as T7

  • PCR amplification of the target DNA using specific primers designed based on the Thermoanaerobacter genome sequence

  • Transformation into expression hosts like E. coli BL21(DE3) strains

  • Induction with IPTG, typically resulting in both soluble protein and inclusion bodies

The solubility of thermophilic enzymes in mesophilic hosts can be challenging, but optimization of expression conditions (temperature, inducer concentration, co-expression with chaperones) may improve yields of soluble enzyme .

What are the standard methods for purifying recombinant Thermoanaerobacter PGI?

Purification of recombinant Thermoanaerobacter PGI typically leverages the enzyme's inherent thermostability. Based on protocols for similar thermophilic enzymes, an effective purification strategy would include:

  • Cell lysis through sonication or mechanical disruption in an appropriate buffer system (pH 7.0-8.0)

  • Heat treatment (60-70°C for 15-30 minutes) to denature most E. coli host proteins while preserving the thermostable target enzyme

  • Centrifugation to remove precipitated proteins

  • Ion-exchange chromatography, typically using anion exchangers like Q-Sepharose at pH values above the enzyme's isoelectric point

  • Optional size-exclusion chromatography for further purification

This approach has been successful with recombinant PGI from Mycobacterium tuberculosis, which was purified to near homogeneity by ion-exchange chromatography, resulting in enzymatically active protein with specific activity of 600 U/mg protein .

How can CRISPR-Cas9 technology be optimized for genetic manipulation of Thermoanaerobacter to enhance PGI expression or modify its properties?

Implementing CRISPR-Cas9 in Thermoanaerobacter requires specialized adaptations for thermophilic conditions. Based on successful genome editing in Thermoanaerobacter ethanolicus, researchers should consider:

  • Using thermostable Cas9 variants that maintain activity at elevated temperatures required for Thermoanaerobacter growth (typically 55-65°C)

  • Designing expression constructs with promoters native to Thermoanaerobacter, such as the phosphate acetyltransferase promoter (P pat), which has shown efficacy in driving expression of CRISPR components

  • Including appropriate selectable markers for thermophiles, such as kanamycin resistance genes that function at elevated temperatures

  • Optimizing homology-directed repair templates with sufficient homology arms (>400bp on each side) to ensure efficient integration at the target locus

For PGI modification specifically, researchers should target either the native promoter region to upregulate expression or consider specific amino acid substitutions that might enhance thermostability or catalytic efficiency based on structural modeling. Successful genome modification can be confirmed using PCR-based screening methods as demonstrated in the Thermoanaerobacter studies, where primers located outside the homologous fragments were used to verify genomic integration .

What kinetic parameters characterize Thermoanaerobacter PGI, and how do they compare with other glucose isomerases?

While specific kinetic parameters for Thermoanaerobacter PGI are not fully detailed in the search results, comparative analysis can be drawn from related enzymes:

ParameterThermoanaerobacter Glucose IsomeraseM. tuberculosis PGITypical Mesophilic PGI
Temperature optimum80°C37°C25-40°C
pH optimum7.0-7.59.07.0-8.0
Km (F6P)Not specified0.318 mM0.1-0.5 mM
Ki (6-phosphogluconate)Not specified0.8 mMVaries
Cation requirementNone reportedNoneOften Mg2+ or Mn2+
Specific activityNot specified600 U/mg100-500 U/mg

Thermoanaerobacter glucose isomerase demonstrates remarkable thermal stability, maintaining activity at temperatures as high as 80°C . This property, combined with the enzyme's ability to function across a relatively broad pH range, makes it particularly valuable for high-temperature bioprocessing applications . The lack of cation requirements further simplifies reaction conditions compared to some isomerases that require metal cofactors .

How does carbon source affect the expression and regulation of PGI in Thermoanaerobacter species?

The regulation of glucose isomerase expression in Thermoanaerobacter is substrate-dependent, with important implications for recombinant production strategies:

  • Induction patterns: Studies with Thermoanaerobacter strain B6A demonstrated that glucose isomerase synthesis is specifically induced by xylose or xylan, while not being significantly repressed by glucose or 2-deoxyglucose . This suggests a xylose-responsive regulatory mechanism that can be exploited for controlled expression.

  • Carbon catabolite repression: Unlike many bacterial systems where glucose exerts strong catabolite repression, Thermoanaerobacter species appear to have less stringent glucose repression of saccharidase activities, including PGI . This allows for more flexible carbon source utilization during fermentation and enzyme production.

  • pH influence: Optimal production of glucose isomerase was achieved by controlling culture pH at 5.5 during xylose fermentation, indicating that environmental pH affects not only enzyme activity but also expression levels .

These regulatory patterns have practical implications for recombinant expression strategies, suggesting that supplementation with xylose or xylan could enhance native or heterologous PGI production in Thermoanaerobacter systems .

What strategies can improve the heterologous expression and solubility of recombinant Thermoanaerobacter PGI?

Thermophilic enzymes often present folding challenges when expressed in mesophilic hosts. To improve recombinant Thermoanaerobacter PGI expression and solubility:

  • Temperature modulation: Lower induction temperatures (15-25°C) often improve folding of thermostable proteins in E. coli by slowing protein synthesis and allowing more time for proper folding

  • Co-expression approaches:

    • Express molecular chaperones (GroEL/GroES, DnaK/DnaJ) alongside the target protein

    • Use specialized E. coli strains designed for improved folding of difficult proteins

  • Fusion partners: N-terminal fusions with solubility enhancers such as MBP (maltose-binding protein), SUMO, or thioredoxin can dramatically improve soluble yields

  • Buffer optimization: Including osmolytes (glycerol, sorbitol) or specific ions that stabilize protein structure during lysis and purification

  • Alternative expression systems: Consider thermophilic expression hosts that provide a more native-like environment for folding of thermostable proteins

How can metabolic engineering be used to enhance Thermoanaerobacter PGI performance for biofuel production applications?

PGI plays a critical role in the glycolytic pathway that drives ethanol production in Thermoanaerobacter species. Several metabolic engineering strategies can optimize this pathway:

  • Promoter engineering: Replacing the native PGI promoter with stronger constitutive or inducible promoters to increase flux through glycolysis

  • Cofactor balance optimization: Since ethanol production is influenced by glycolytic flux regulation through cofactor availability (NADH/NADPH), engineering PGI and downstream enzymes to alter cofactor preferences could enhance ethanol yields

  • Carbon flux redirection:

    • Knockout of competing pathways like lactate (ldh) or acetate (pta/ack) formation to direct carbon flux toward ethanol

    • Overexpression of PGI alongside alcohol dehydrogenases (AdhE/AdhB) to create a coordinated increase in the entire ethanol production pathway

  • Protein engineering:

    • Directed evolution or rational design to increase PGI thermostability or activity

    • Modification of substrate specificity to better utilize lignocellulosic hydrolysates

  • Co-culture strategies: Leveraging the natural advantages of Thermoanaerobacter in co-culture with cellulolytic organisms like Clostridium thermocellum for consolidated bioprocessing approaches

Genomic analysis shows that PGI is part of a highly expressed glycolytic pathway optimized for ethanol production in Thermoanaerobacter species, making it an excellent target for metabolic optimization strategies .

What are the optimal assay conditions for measuring Thermoanaerobacter PGI activity?

Based on characterization of similar glucose isomerases, the following assay conditions are recommended for Thermoanaerobacter PGI:

  • Temperature: 70-80°C (perform initial optimization between 60-90°C)

  • pH: 7.0-7.5 using phosphate or HEPES buffer systems

  • Substrate concentration: 1-10 mM fructose-6-phosphate or glucose-6-phosphate

  • Reaction monitoring:

    • Continuous spectrophotometric assay coupling G6P formation to NADP+ reduction by glucose-6-phosphate dehydrogenase (measured at 340 nm)

    • For F6P formation, couple to phosphofructokinase and aldolase reactions

    • Alternative: HPLC-based detection of substrate/product levels

  • Controls:

    • No-enzyme controls to account for non-enzymatic isomerization at high temperatures

    • Heat-inactivated enzyme controls

    • Reaction buffers pre-equilibrated to assay temperature

Activity units should be standardized as μmol product formed per minute under the specified conditions, with specific activity expressed as units per mg protein .

How can genome-scale metabolic modeling be applied to predict and enhance PGI function in Thermoanaerobacter species?

Genome-scale metabolic modeling provides powerful insights for understanding and optimizing PGI function within the broader metabolic network:

Combining genome-scale metabolic modeling with process modeling can provide valuable insights to "tailor the process and improve flux rewiring by keeping the final application in mind" . This approach has been successfully applied to thermophilic bacteria like Parageobacillus thermoglucosidasius and could be adapted for Thermoanaerobacter species.

What approaches can be used to investigate the structural determinants of Thermoanaerobacter PGI thermostability?

Understanding the structural basis of PGI thermostability can guide protein engineering efforts. Several complementary approaches can be employed:

  • Comparative sequence analysis:

    • Align Thermoanaerobacter PGI sequences with mesophilic homologs

    • Identify conserved residues unique to thermophilic variants

    • Use statistical coupling analysis to detect co-evolving residue networks

  • Structural biology techniques:

    • X-ray crystallography or cryo-EM to determine the three-dimensional structure

    • Molecular dynamics simulations at different temperatures to identify stabilizing interactions

    • Hydrogen-deuterium exchange mass spectrometry to map flexible versus rigid regions

  • Mutagenesis approaches:

    • Alanine scanning of potential stabilizing residues

    • Domain swapping between thermophilic and mesophilic PGI variants

    • Introduction of disulfide bonds or salt bridges at strategic positions

  • Thermal stability assays:

    • Differential scanning calorimetry to determine melting temperatures

    • Circular dichroism to monitor secondary structure changes during thermal denaturation

    • Activity retention studies after exposure to various temperatures

These approaches can reveal key structural features contributing to thermostability, such as increased hydrophobic interactions, additional salt bridges, and more compact packing of the protein core, which are common adaptations in thermophilic enzymes .

How can Thermoanaerobacter PGI be employed in consolidated bioprocessing for bioethanol production?

Thermoanaerobacter PGI plays a crucial role in consolidated bioprocessing (CBP) approaches for bioethanol production through several mechanisms:

  • Integration with cellulolytic organisms: Thermoanaerobacter species show great potential as co-culture partners with cellulolytic bacteria like Clostridium thermocellum . In this system, PGI enables efficient utilization of glucose derived from cellulose breakdown, directing carbon flux toward ethanol production.

  • Process advantages:

    • Higher operating temperatures (60-70°C) reduce contamination risk

    • Thermostable enzymes like PGI remain active throughout the fermentation process

    • Co-cultures have demonstrated higher ethanol yields compared to monocultures

  • Implementation strategies:

    • Engineer Thermoanaerobacter strains with enhanced PGI expression for improved glucose utilization

    • Balance glycolytic flux by coordinating PGI activity with alcohol dehydrogenase levels

    • Optimize co-culture ratios and nutrient requirements for maximum synergy

Analysis of Thermoanaerobacter genomes reveals distinct clades with different capabilities: Clade 1 strains direct higher carbon flux toward ethanol but have fewer carbohydrate-active enzymes, while Clade 2 strains show greater diversity in lignocellulose hydrolysis and utilization . Selection of appropriate strains based on these genomic insights can optimize CBP performance.

What is the potential for protein engineering to improve Thermoanaerobacter PGI catalytic efficiency or substrate specificity?

Protein engineering offers significant opportunities to enhance Thermoanaerobacter PGI performance:

  • Rational design approaches:

    • Modify active site residues to alter substrate specificity (e.g., to utilize alternative sugar phosphates)

    • Introduce mutations that reduce product inhibition

    • Stabilize flexible regions to further enhance thermostability

  • Directed evolution strategies:

    • Error-prone PCR to generate variant libraries

    • Selection under conditions favoring increased catalytic efficiency

    • Screening for activity on alternative substrates

  • Semi-rational approaches:

    • Combinatorial active-site saturation testing (CASTing)

    • Consensus design based on multiple thermophilic PGI sequences

    • Ancestral sequence reconstruction to identify stabilizing mutations

  • Targets for improvement:

    • Increase kcat/Km ratio for improved catalytic efficiency

    • Reduce substrate/product inhibition

    • Enhance stability in the presence of organic solvents or high substrate concentrations

While no specific protein engineering studies for Thermoanaerobacter PGI are reported in the search results, the successful expression and characterization of recombinant PGI from other organisms provides a foundation for such efforts .

How does the genome content of different Thermoanaerobacter species correlate with PGI function and ethanol production capability?

Genomic analysis reveals significant diversity among Thermoanaerobacter species that impacts PGI function and ethanol production:

  • Clade-specific patterns:

    • Clade 1 strains: Encode fewer extracellular carbohydrate-active enzymes but direct higher carbon flux toward ethanol

    • Clade 2 strains: Show greater diversity in lignocellulose hydrolysis and utilization pathways but produce more non-ethanol end-products

    • Clade 3 strains: Include T. thermohydrosulfuricus with distinct metabolic characteristics

  • PGI conservation and variation:

    • PGI is consistently present across Thermoanaerobacter genomes as a core glycolytic enzyme

    • In Thermoanaerobacter sp. X514, PGI (ORF MJ1618) is expressed during lithoautotrophic growth on H₂/CO₂

    • Comparative genomics of T. pseudethanolicus and T. thermohydrosulfuricus WC1 highlight conserved glycolytic genes, including PGI

  • Metabolic context:

    • PGI functions within pathways that connect to NADH-dependent alcohol dehydrogenases (AdhE/AdhB), which are key for ethanol synthesis

    • Genome analysis can identify strains with optimal pathway configurations for maximizing ethanol yields

These genomic insights provide valuable guidance for strain selection and engineering strategies aimed at optimizing ethanol production through PGI-centered metabolic engineering approaches .

What are common challenges in expressing and purifying recombinant Thermoanaerobacter PGI, and how can they be addressed?

Researchers frequently encounter several challenges when working with recombinant Thermoanaerobacter PGI:

  • Expression challenges:

    • Inclusion body formation: Optimize by lowering induction temperature (15-25°C), reducing inducer concentration, or co-expressing chaperones

    • Codon bias: Use codon-optimized gene synthesis or expression hosts with rare tRNA supplementation

    • Toxicity to host: Use tightly controlled inducible promoters or secretion systems

  • Purification challenges:

    • Co-purifying contaminants: Implement additional chromatography steps or selective heat treatment (60-70°C)

    • Protein aggregation: Include stabilizing agents (glycerol, specific ions) in purification buffers

    • Activity loss during purification: Minimize exposure to air/oxidation for sensitive enzymes

  • Activity measurement challenges:

    • High background at elevated temperatures: Run appropriate no-enzyme controls

    • Coupling enzyme instability: Use thermostable coupling enzymes for continuous assays

    • Buffer incompatibility: Ensure buffer components are stable at assay temperatures

  • Storage considerations:

    • Optimize storage conditions (typically glycerol stocks at -80°C)

    • Test freeze-thaw stability and consider single-use aliquots

    • Evaluate lyophilization as a long-term storage option

These challenges can be systematically addressed through careful optimization of expression conditions, purification protocols, and storage methods, as demonstrated in successful recombinant enzyme production studies .

How can researchers validate and troubleshoot genetic modifications of Thermoanaerobacter PGI in vivo?

Validating genetic modifications in Thermoanaerobacter species requires specialized approaches due to their thermophilic nature:

  • Confirming genetic modifications:

    • PCR-based validation using primers that span integration junctions (as demonstrated for tdk gene targeting)

    • Sequencing of PCR products to confirm the exact sequence of modifications

    • Southern blotting for complex genomic modifications

  • Expression verification:

    • RT-qPCR to quantify transcript levels

    • Western blotting with anti-PGI antibodies

    • Activity assays comparing wild-type and modified strains

  • Phenotypic characterization:

    • Growth curves on different carbon sources

    • Metabolite analysis using HPLC or GC-MS

    • Ethanol yield determinations

  • Troubleshooting strategies:

    • For integration failures: Optimize homology arm length (>1 kb recommended)

    • For expression issues: Test alternative promoters native to Thermoanaerobacter

    • For unexpected phenotypes: Consider polar effects on downstream genes

  • Strain stability assessment:

    • Serial passaging without selection to verify stable maintenance of modifications

    • Whole genome sequencing to identify any compensatory mutations

Successful validation has been demonstrated in Thermoanaerobacter genetic studies, where "evidence of genome integration after transformation was determined by PCR" using primers located outside the homologous fragments .

This methodical approach ensures that genetic modifications targeting PGI are correctly implemented and stably maintained in the genome, providing a reliable foundation for metabolic engineering studies.

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