KEGG: ecz:ECS88_2583
Glucokinase (Glk) is an ATP-dependent enzyme in E. coli that phosphorylates glucose to produce glucose-6-phosphate, representing a critical step in glucose metabolism. Unlike hexokinases, glucokinases exhibit narrow specificity for glucose as a substrate. In E. coli, glucokinase processes intracellular glucose imported via phosphoenolpyruvate-dependent phosphotransferase system-independent uptake pathways. The enzyme catalyzes the addition of a phosphate group from ATP to the 6-position of glucose, producing glucose-6-phosphate which subsequently enters glycolysis or other metabolic pathways .
E. coli O45:K1 represents a highly pathogenic clone that has emerged in France as a cause of neonatal meningitis. The O45 antigen is unusual in extraintestinal pathogenic E. coli (ExPEC) strains but has been identified in this virulent clone. The strain's significance lies in its combination of the O45 somatic antigen with the K1 capsular antigen, a combination associated with enhanced virulence, particularly in causing meningitis . The O45:K1:H7 serotype is closely related to the globally distributed archetypal clone O18:K1:H7 but differs in its O-antigen structure, making it an important subject for research into bacterial virulence evolution .
While direct evidence for O45 antigen regulation of glucokinase expression is limited, several indirect mechanisms may exist. The unique O45 antigen structure could alter cell surface properties, potentially affecting nutrient uptake patterns and consequently the regulation of metabolic enzymes like glucokinase . Additionally, pathogenic E. coli strains often coordinate virulence factor expression with metabolic changes. The O45 antigen gene cluster in strain S88 appears to have been acquired through horizontal gene transfer, potentially bringing along regulatory elements that could affect nearby genes or global regulatory networks . The relationship between O-antigen expression and central metabolism represents an important area for further investigation in these pathogenic strains.
E. coli Glucokinase (Glk) is a homodimer composed of two identical 321 amino acid subunits. Each monomer folds into two distinct domains: a small α/β domain (residues 2-110 and 301-321) and a larger α+β domain (residues 111-300) . The active site is located in a deep cleft between these two domains. Structural studies reveal that E. coli Glk shares structural similarities with Saccharomyces cerevisiae hexokinase and human brain hexokinase I, despite limited sequence homology . When glucose binds, it induces a conformational change resulting in closure of the small domains, with a maximal Cα shift of approximately 10Å. This "induced fit" mechanism positions the substrate optimally for phosphoryl transfer .
The catalytic mechanism of E. coli Glucokinase involves several key steps, beginning with glucose binding in the active site cleft between the two domains, followed by a conformational change upon glucose binding. Critical residues in this process include Asp100, which functions as the general base that abstracts a proton from the O6 hydroxyl of glucose, enabling nucleophilic attack at the γ-phosphoryl group of ATP . Additional important residues include Asn99, Glu157, His160, and Glu187, which form hydrogen bonds with glucose and help position it correctly in the active site . The bound glucose forms hydrogen bonds with these residues, most of which (except His160) are structurally conserved in human hexokinase 1, suggesting a conserved glucose-binding mechanism despite evolutionary divergence .
The complete amino acid sequence of recombinant E. coli Glucokinase typically includes a His-tag for purification purposes. The sequence is:
MGSSHHHHHHSSGLVPRGSHM GSMTKYALVGDVGGTNARLAL CDIASGEISQAKTYSGLDY PSLEAVIRVYLEEHKVEVKD GCIAIACPITGDWVAMTNH TWAFSIAEKKKNLGFSHLEI INDFTAVSMAIMLKKEHLIQ FGGAEPVEGKPIAIVGAGT GLGVAHLVHVDKRWVSLPGE GGHVDFAPNSEEAIILEILR AEIGHVSAERVLSGPGLVNL YRAIVKADNRLPENLKPKDI TERA
The protein is typically expressed in E. coli expression systems, with a molecular weight of approximately 35 kDa and a purity of >95% when analyzed by SDS-PAGE . The recombinant protein maintains the enzymatic activity of native glucokinase while providing additional features that facilitate purification and experimental manipulation.
Optimal expression and purification of recombinant E. coli O45:K1 Glucokinase involves several critical parameters:
Expression Conditions:
Host strain: BL21(DE3) or similar strains with reduced protease activity
Growth medium: Rich media (LB or 2xYT) for high yield
Temperature: 18-25°C post-induction to enhance proper folding
IPTG concentration: 0.1-0.5 mM, with lower concentrations often yielding more soluble protein
Induction time: 16-20 hours at lower temperatures
Purification Protocol:
Cell lysis in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 1 mM DTT
Affinity chromatography using Ni-NTA resin for His-tagged protein
Size exclusion chromatography to separate dimeric active enzyme from aggregates
Storage in buffer containing 20 mM Tris-HCl pH 7.5, 100 mM NaCl, 1 mM DTT, 10% glycerol
The purified enzyme should be flash-frozen and stored at -80°C for long-term stability, where it typically retains >90% activity for at least 6 months .
Several assays can be used to measure E. coli Glucokinase activity, each with specific advantages and limitations:
1. Coupled Spectrophotometric Assay:
Method: Links glucokinase activity to NADH production/consumption through auxiliary enzymes (glucose-6-phosphate dehydrogenase)
Advantages: Continuous, real-time monitoring; high sensitivity
Limitations: Auxiliary enzymes can be limiting factors; potential for interference from other ATP-consuming enzymes
2. ADP Production Assay:
Method: Measures ADP produced during the reaction using ADP-specific detection reagents
Advantages: Direct measurement of reaction product; compatible with high-throughput screening
Limitations: End-point measurement; generally more expensive
Comparison of Key Parameters:
| Assay Type | Sensitivity | Throughput | Cost | Specialized Equipment | Continuous/End-point |
|---|---|---|---|---|---|
| Coupled Spectrophotometric | High | Medium-High | Low | Spectrophotometer | Continuous |
| ADP Production | High | High | Medium-High | Plate reader | End-point |
| Radiometric | Very High | Low | Medium | Scintillation counter | End-point |
| MS-Based | Very High | Low | High | Mass spectrometer | End-point |
When selecting an assay, researchers should consider their specific experimental needs, available equipment, and the nature of their samples (pure enzyme vs. cell lysates) .
Site-directed mutagenesis provides a powerful approach for investigating structure-function relationships in E. coli O45:K1 Glucokinase. A methodological framework includes:
Target Selection:
Catalytic residues: Asp100 (catalytic base), Asn99, Glu157, His160, Glu187 (glucose binding)
Domain interface residues: Those involved in domain closure upon substrate binding
Dimer interface residues: To investigate the importance of dimerization
Mutation Strategies:
Conservative substitutions: Replace with similar amino acids (e.g., Asp→Glu)
Non-conservative substitutions: Dramatic changes to demonstrate essential nature (e.g., Asp→Ala)
Function-swapping: Replace with residues found in related enzymes with different specificities
Functional Analysis:
Expression and purification: Compare yields of mutant vs. wild-type
Structural integrity: Circular dichroism spectroscopy, thermal stability assays
Kinetic analysis: Determine Km, kcat, and kcat/Km for glucose and ATP
Binding studies: Isothermal titration calorimetry (ITC) for substrate binding affinities
This approach allows researchers to create a detailed map of structure-function relationships in glucokinase and potentially identify residues that could be targeted for inhibitor design or protein engineering applications .
Recombinant E. coli O45:K1 Glucokinase can serve as a valuable tool for investigating pathogenesis mechanisms in meningitis-causing strains through several research approaches:
Metabolic Adaptation During Infection:
Compare glucokinase activity and expression levels between pathogenic O45:K1 strains and non-pathogenic E. coli
Investigate how glucose metabolism shifts during different stages of infection
Examine how glucokinase activity changes in response to host environments (blood, cerebrospinal fluid)
Virulence-Metabolism Coupling:
Create glucokinase knockout or regulated expression strains in O45:K1 background
Assess how altered glucose metabolism affects expression of virulence factors
Determine if metabolic shifts governed by glucokinase activity correlate with virulence gene expression
In Vivo Infection Models:
Use the neonatal rat meningitis model to assess how glucokinase mutations affect virulence
Compare wild-type and glucokinase-modified strains for their ability to survive in bloodstream, cross the blood-brain barrier, and proliferate in cerebrospinal fluid
Such studies could reveal whether metabolic adaptations mediated by glucokinase contribute to the enhanced virulence of the O45:K1 clone and potentially identify new therapeutic targets .
Comparative analysis of glucokinase from E. coli O45:K1 and other strains can reveal important evolutionary insights:
Phylogenetic Analysis:
Compare glucokinase sequences between O45:K1 strains and other pathogenic/non-pathogenic E. coli
Analyze the evolutionary relationship between glucokinase and the acquisition of virulence factors
Examine potential horizontal gene transfer events that might have shaped glucokinase evolution
Structure-Function Relationships:
Map strain-specific amino acid substitutions onto structural models
Identify positively selected residues that might contribute to strain-specific adaptations
Correlate structural differences with enzymatic properties
This approach is particularly important given that the O45 antigen gene cluster in pathogenic strains appears to have been acquired through horizontal gene transfer events . Understanding whether glucokinase has co-evolved with virulence determinants could provide insights into the metabolic adaptation of emerging pathogenic clones.
The relationship between glucokinase mutations and virulence can be systematically investigated using experimental infection models. Research approaches include:
Mutation Design Strategy:
Create specific point mutations affecting catalytic efficiency
Generate domain-swapped variants between pathogenic and non-pathogenic strains
Develop conditional expression systems to control glucokinase activity during infection
Infection Model Selection:
Neonatal rat meningitis model for studying E. coli O45:K1 pathogenesis
Cell culture models of blood-brain barrier penetration
Ex vivo cerebrospinal fluid survival assays
Key Parameters to Measure:
Bacterial load in blood and cerebrospinal fluid
Inflammatory response markers
Host survival rates
Transcriptional changes in both host and pathogen
Studies in the neonatal rat meningitis model have already demonstrated the crucial role of the O45 antigen in virulence . Extending this approach to investigate glucokinase mutations could reveal whether central metabolism plays a direct role in pathogenesis or primarily supports virulence factor expression.
Researchers often encounter several challenges when expressing recombinant E. coli O45:K1 Glucokinase:
Poor Solubility and Inclusion Body Formation:
Problem: Overexpression can lead to protein aggregation
Solutions: Reduce induction temperature to 16-18°C; decrease IPTG concentration to 0.1-0.2 mM; co-express with chaperones; use solubility-enhancing fusion tags; add osmolytes to culture medium
Low Enzymatic Activity:
Problem: Recombinant enzyme shows significantly lower activity than expected
Solutions: Ensure proper folding by optimizing purification conditions; add stabilizing agents (DTT, glycerol); include glucose in purification buffers; verify protein integrity
Proteolytic Degradation:
Problem: The enzyme shows degradation bands on SDS-PAGE
Solutions: Use protease-deficient host strains; include protease inhibitors; perform purification steps at 4°C; add EDTA to inhibit metalloproteases
By systematically addressing these challenges, researchers can significantly improve the expression and purification of functional recombinant E. coli O45:K1 Glucokinase .
Designing rigorous kinetic studies with recombinant E. coli O45:K1 Glucokinase requires careful consideration of multiple experimental parameters:
Enzyme Preparation Considerations:
Purity requirement: >95% as verified by SDS-PAGE
Activity verification before kinetic studies
Storage conditions: Aliquot and store at -80°C; avoid multiple freeze-thaw cycles
Buffer composition: 20-50 mM Tris or HEPES, pH 7.5-8.0, 50-100 mM NaCl, 5 mM MgCl₂, 1 mM DTT
Substrate Considerations:
For Glucose: Concentration range 0.1-10× Km (typical Km ~0.2-0.5 mM)
For ATP: Concentration range 0.1-10× Km (typical Km ~0.3-0.7 mM)
Include Mg²⁺ (typically 5-10 mM) as ATP·Mg complex is the true substrate
Experimental Design for Kinetic Parameter Determination:
Ensure <10% substrate consumption (linearity of progress curves)
Include sufficient time points for reliable rate determination
Use appropriate enzyme concentration (typically 10-100 nM)
Design experiments to distinguish between different kinetic mechanisms
Following these guidelines enables researchers to design robust kinetic experiments that yield reliable mechanistic insights into the catalytic behavior of E. coli O45:K1 Glucokinase .
Effective comparison of glucokinase enzymatic properties from different E. coli strains requires a systematic approach:
Standardized Cloning and Expression Strategy:
Use identical vector backbones, tags, and cloning sites
Express all variants under identical conditions
Purify using the same protocol and buffer systems
Verify comparable purity and proper folding
Comparative Kinetic Analysis:
Determine Km, kcat, and kcat/Km for both glucose and ATP
Measure substrate specificity profiles
Analyze pH-activity profiles and temperature optima
Example Data Presentation Format:
| Strain | Km Glucose (mM) | Km ATP (mM) | kcat (s⁻¹) | kcat/Km Glucose (M⁻¹s⁻¹) | Temperature Optimum (°C) |
|---|---|---|---|---|---|
| O45:K1 | 0.32 ± 0.04 | 0.45 ± 0.06 | 124 ± 8 | 3.9 × 10⁵ | 37 |
| O18:K1 | 0.28 ± 0.03 | 0.52 ± 0.07 | 118 ± 7 | 4.2 × 10⁵ | 37 |
| K-12 | 0.35 ± 0.05 | 0.48 ± 0.05 | 105 ± 10 | 3.0 × 10⁵ | 35 |
Integration with Virulence Studies:
Correlate enzymatic parameters with virulence metrics
Use gene replacements to swap glucokinase variants between strains
Measure impact on fitness in infection models
By applying this comprehensive comparative framework, researchers can identify subtle but potentially important differences in glucokinase properties between pathogenic and non-pathogenic E. coli strains, potentially revealing adaptations that contribute to virulence or host adaptation .