PGI is essential for carbohydrate metabolism, enabling organisms to interconvert G6P and F6P. In E. fergusonii, this enzyme likely supports modified glycolytic pathways observed in other hyperthermophilic archaea and bacteria, which often involve unconventional kinases or oxidoreductases . Computational analysis of E. fergusonii genomes reveals conserved metabolic pathways, including glycolysis, but direct biochemical characterization of its PGI remains undocumented .
Producing recombinant E. fergusonii PGI would require:
Gene Amplification: Targeting the pgi locus in E. fergusonii genomes, which may share homology with E. coli or archaeal variants .
Expression Systems: Plasmid vectors (e.g., pBAD or pBBR1MCS) in E. coli hosts, as demonstrated for P. furiosus and M. jannaschii PGIs .
Purification: Affinity chromatography or heat treatment for thermostable variants .
E. fergusonii strains are notable for harboring mobile genetic elements (e.g., tet(X4), CTX-M) and efflux pumps (AcrAB-TolC) linked to antibiotic resistance . While PGI itself is not implicated in resistance, its metabolic role could indirectly influence bacterial survival under stress.
Biochemical Characterization: Kinetic assays (e.g., NADH-coupled spectrophotometry) are needed to determine E. fergusonii PGI activity .
Structural Studies: X-ray crystallography could resolve its unique active-site architecture.
Metabolic Engineering: Integrating E. fergusonii pgi into synthetic pathways for biotechnological applications, as seen with Cupriavidus spp. .
KEGG: efe:EFER_4117
Escherichia fergusonii is a Gram-negative, rod-shaped bacterium closely related to E. coli, first isolated from human blood samples. It is considered an emerging pathogen with zoonotic potential, capable of causing urinary tract infections, wound infections, bacteremia, and gastrointestinal infections3. E. fergusonii has demonstrated significant pathogenic potential and antimicrobial resistance, particularly in avian and porcine strains .
Glucose-6-phosphate isomerase (GPI or PGI) is a critical enzyme in both glycolysis and gluconeogenesis pathways, facilitating the reversible transformation of glucose-6-phosphate into fructose-6-phosphate . This enzyme serves as a key node connecting multiple metabolic pathways, including:
Glycolysis/gluconeogenesis
Pentose phosphate pathway
Amino sugar metabolism
Nucleotide sugar metabolism
Studying E. fergusonii PGI is significant because:
It acts as a moonlighting protein with multiple cellular functions beyond sugar interconversion
It potentially contributes to bacterial pathogenicity and virulence
It may play a role in antimicrobial resistance mechanisms
It could serve as a potential target for novel antimicrobial development
The function of PGI appears to be highly conserved across bacterial species, though with species-specific adaptations. Based on comparative studies, we can infer that E. fergusonii PGI catalyzes the reversible isomerization between glucose-6-phosphate and fructose-6-phosphate, similar to its homologs in other organisms .
Functional comparison across species reveals:
While the catalytic mechanism is likely conserved, structural variations may exist in substrate binding sites and regulatory domains. These differences could potentially be exploited for the development of species-specific inhibitors targeting E. fergusonii.
For successful cloning and expression of recombinant E. fergusonii PGI, the following methodological approach is recommended:
Gene identification and isolation:
Extract genomic DNA from E. fergusonii clinical or environmental isolates
Amplify the PGI gene using PCR with primers designed based on conserved regions
Consider codon optimization if expression will be performed in a heterologous host
Cloning strategy:
Select an appropriate expression vector with a strong, inducible promoter
Include a purification tag (His6, GST, or MBP) to facilitate protein purification
Transform into an expression strain with reduced protease activity
Expression optimization:
Test multiple expression conditions (temperature, inducer concentration, expression duration)
Perform small-scale expression tests to optimize soluble protein yield
Consider using specialized strains like BL21(DE3) or Rosetta for efficient expression
Protein purification:
Implement a multi-step purification strategy including:
a. Affinity chromatography (IMAC for His-tagged proteins)
b. Ion exchange chromatography
c. Size exclusion chromatography
Verify protein purity using SDS-PAGE and Western blotting
Confirm protein identity with mass spectrometry
PGI activity can be measured using several established methodological approaches:
Spectrophotometric coupled enzyme assays:
Forward reaction (G6P → F6P): Couple with phosphofructokinase and aldolase
Reverse reaction (F6P → G6P): Couple with G6P dehydrogenase and monitor NADPH formation at 340 nm
Direct measurement techniques:
HPLC analysis of substrate consumption and product formation
Mass spectrometry to quantify reaction products
NMR spectroscopy for real-time reaction monitoring
Enzyme kinetics characterization:
Determine Michaelis-Menten parameters (Km, Vmax, kcat)
Evaluate pH optimum and buffer conditions
Assess temperature stability and optimal reaction temperature
Investigate metal ion requirements and inhibitor profiles
A standardized assay protocol might include:
Reaction buffer: 50 mM Tris-HCl (pH 7.5), 10 mM MgCl2, 1 mM DTT
Coupled enzymes: G6P dehydrogenase (2 U/mL), NADP+ (0.5 mM)
Substrate range: G6P or F6P (0.1-10 mM)
Temperature: 37°C
Monitoring: Continuous absorbance readings at 340 nm
Based on studies of PGI in related organisms, E. fergusonii PGI likely contributes to pathogenicity through multiple mechanisms :
Metabolic adaptation:
PGI enables flexible carbon metabolism, allowing adaptation to nutrient-limited host environments
Its position at the intersection of glycolysis and the pentose phosphate pathway facilitates rapid metabolic switching in response to environmental changes
Cell wall biosynthesis:
Stress response:
Biofilm formation:
E. fergusonii strains have demonstrated biofilm formation capabilities3
PGI may contribute to biofilm matrix production through its role in providing precursors for exopolysaccharide synthesis
Experimental approaches to investigate these mechanisms could include:
Generation of E. fergusonii PGI knockout mutants
Phenotypic characterization under various stress conditions
Virulence assessment in appropriate infection models
Complementation studies to confirm phenotype specificity
E. fergusonii strains have demonstrated significant antimicrobial resistance profiles, particularly in avian and porcine isolates . While PGI is not directly associated with antibiotic resistance mechanisms, it may indirectly contribute through:
Metabolic adaptation:
PGI's role in central carbon metabolism could support cellular responses to antimicrobial stress
Altered metabolic states may modify susceptibility to certain antibiotics
Biofilm formation:
E. fergusonii can form biofilms, which significantly increase resistance to antimicrobial agents3
PGI likely contributes to biofilm matrix production through its metabolic functions
Cell wall modification:
Research has identified multidrug-resistant E. fergusonii isolates harboring various beta-lactamase genes:
| Isolate ID | Resistance Profile | Beta-lactamase Genes | Source |
|---|---|---|---|
| CR11 | Carbapenem-resistant, ESBL-positive | CTX-M, TEM | Clinical samples (septic wounds) |
| CR35 | Carbapenem-resistant, ESBL-positive | CTX-M, TEM | Clinical samples (septic wounds) |
| CR49 | Carbapenem-resistant, ESBL-positive | SHV | Clinical samples (septic wounds) |
Source: Findings from carbapenem-resistant E. fergusonii clinical isolates
Experimental approaches to investigate PGI's role in antimicrobial resistance could include:
Transcriptomic analysis of PGI expression under antimicrobial exposure
Phenotypic characterization of PGI mutants for altered antimicrobial susceptibility
Proteomic studies to identify PGI interaction partners during antimicrobial stress
Comprehensive genomic analysis methods for studying E. fergusonii PGI diversity include :
Whole genome sequencing and comparative genomics:
Sequence multiple E. fergusonii strains from diverse sources
Compare PGI gene sequences to identify conserved regions and polymorphisms
Analyze promoter regions for potential regulatory differences
Examine genetic context to identify potential horizontal gene transfer events
Phylogenetic analysis:
Construct phylogenetic trees based on PGI sequences to understand evolutionary relationships
Compare with species phylogeny to identify potential recombination events
Study selection pressures acting on different regions of the PGI gene
Pangenomic analysis:
Determine if PGI is part of the core or accessory genome of E. fergusonii
Identify any strain-specific variations that might relate to niche adaptation
Compare with related Escherichia species to understand genus-level conservation
Functional genomics:
Transcriptomic analysis of PGI expression under different environmental conditions
Regulatory network analysis to understand PGI gene regulation
Proteomics studies to confirm expression and post-translational modifications
Based on pangenomic analysis of E. fergusonii, the following insights have been reported:
| Source | Genomic Diversity Characteristics | PGI-Related Implications |
|---|---|---|
| Avian strains | Greater genomic diversity; higher number of AMR genes and mobile genetic elements | Potential metabolic adaptations specific to avian hosts |
| Porcine strains | High number of AMR genes and mobile genetic elements | Metabolic adaptation to specific host environment |
| Bovine strains | Higher pathogenic potential compared to other strains | PGI may contribute to virulence in bovine infections |
Source: Comparative genomic analyses of E. fergusonii from different sources
Understanding structural and functional differences between bacterial and human GPI is crucial for developing selective inhibitors. While specific information about E. fergusonii PGI structure is not directly available from the search results, we can infer several potential differences:
Structural distinctions:
Active site architecture: Despite catalyzing the same reaction, bacterial and human enzymes often have distinct active site geometries
Quaternary structure: Different oligomeric states (monomeric, dimeric, or tetrameric arrangements)
Regulatory domains: Presence of unique regulatory sites in the bacterial enzyme
Functional differences:
Post-translational modifications:
Human GPI undergoes glycosylation and phosphorylation
Bacterial PGI likely lacks these modifications or has different modification patterns
Inhibitor sensitivity:
Differential sensitivity to known GPI inhibitors
Unique allosteric regulatory mechanisms
Research approaches to explore these differences include:
Comparative homology modeling of E. fergusonii PGI based on related bacterial structures
Recombinant expression and crystallization for structural determination
Biochemical characterization of substrate specificity and inhibitor sensitivity
Molecular dynamics simulations to identify unique structural features
E. fergusonii has been reported to form biofilms, which contribute to antimicrobial resistance and environmental persistence3. The potential roles of PGI in biofilm formation include:
Metabolic support:
PGI's central role in carbon metabolism provides energy and precursors needed for biofilm matrix production
It enables efficient utilization of available carbon sources within biofilm microenvironments
Exopolysaccharide synthesis:
PGI generates precursors that feed into pathways for exopolysaccharide production
These exopolysaccharides form a significant component of the biofilm matrix
Stress adaptation:
Methodological approaches to investigate PGI's role in biofilm formation:
Genetic approaches:
Generate PGI knockout or knockdown mutants
Create conditional expression strains for controlled PGI expression
Complement mutants with wild-type PGI to confirm phenotype specificity
Biofilm characterization methods:
Crystal violet assays for biofilm biomass quantification
Confocal microscopy with fluorescent stains to analyze biofilm architecture
Flow cell systems for dynamic biofilm formation studies
Scanning electron microscopy for detailed structural analysis
Molecular and biochemical analyses:
Transcriptomic analysis comparing planktonic and biofilm growth
Proteomics to identify PGI interaction partners in biofilms
Metabolomic studies to track carbon flux through PGI during biofilm formation
Inhibitor studies:
Test the effect of PGI inhibitors on biofilm formation and dispersal
Evaluate combination therapy with conventional antibiotics
Based on general principles for bacterial enzyme expression and purification:
Expression system optimization:
Host strain: E. coli BL21(DE3) or Rosetta for efficient expression
Vector selection: pET series vectors with T7 promoter for high-level expression
Fusion tags: N-terminal His6 tag for purification; MBP or SUMO tags for enhanced solubility
Codon optimization: Consider harmonizing codons for expression host
Culture conditions:
Growth medium: Enriched media (LB, TB) for high cell density
Temperature: Reduced temperature (16-25°C) during induction to enhance solubility
Induction: Low IPTG concentration (0.1-0.5 mM) for longer periods (16-20 hours)
Purification strategy:
Cell lysis: Sonication or high-pressure homogenization in buffer containing protease inhibitors
Initial capture: Immobilized metal affinity chromatography (IMAC)
Intermediate purification: Ion exchange chromatography
Polishing: Size exclusion chromatography
Buffer optimization: Typically 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 5% glycerol
Quality control methods:
Purity assessment: SDS-PAGE and Western blotting
Activity verification: Coupled enzyme assay
Stability testing: Differential scanning fluorimetry
Identity confirmation: Mass spectrometry
Designing effective inhibitor screening assays for E. fergusonii PGI involves:
Primary screening assay development:
Adapt standard PGI activity assays for high-throughput format
Optimize reaction conditions (buffer, pH, temperature) for maximum sensitivity
Develop appropriate positive and negative controls
Determine Z' factor to validate assay robustness
Assay formats:
Spectrophotometric assays: Coupled enzyme systems monitoring NADPH production
Fluorescence-based assays: Higher sensitivity for detection of subtle inhibition
Thermal shift assays: Screen for compounds that alter protein thermal stability
Compound library selection:
Natural product libraries enriched for carbohydrate analogs
Fragment-based libraries for initial hits
Structure-based virtual screening to prioritize compounds
Hit validation and characterization:
Dose-response curves to determine IC50 values
Mechanism of inhibition studies (competitive, noncompetitive, uncompetitive)
Binding affinity determination using isothermal titration calorimetry or surface plasmon resonance
Selectivity profiling against human GPI and other related enzymes
In vivo evaluation:
Antimicrobial activity against E. fergusonii
Effect on biofilm formation
Cytotoxicity testing against mammalian cells
Multiple complementary experimental approaches can determine the essentiality of PGI for E. fergusonii survival and virulence:
Genetic manipulation strategies:
CRISPR-Cas9 genome editing for targeted gene knockout
Conditional expression systems using inducible promoters
Antisense RNA approaches for gene knockdown
Transposon mutagenesis followed by sequencing (Tn-Seq) to assess gene essentiality
Phenotypic characterization:
Growth curve analysis under different carbon sources
Metabolic profiling using Biolog or similar systems
Stress response testing (oxidative, osmotic, temperature)
Biofilm formation assessment
Virulence assessment:
Cell culture infection models to test bacterial invasion and intracellular survival
Galleria mellonella infection model for preliminary in vivo testing
Murine models for comprehensive virulence assessment
Competitive index experiments comparing wild-type and PGI mutant strains
Molecular analyses:
Transcriptomic profiling to identify compensatory mechanisms
Metabolomic analysis to identify pathway alterations
Proteomic studies to detect protein expression changes
Chemical genetics:
Testing specific PGI inhibitors for bacteriostatic or bactericidal effects
Complementation with heterologous PGI enzymes to rescue phenotypes
Successful application of these methods would provide comprehensive understanding of PGI's role in E. fergusonii physiology and pathogenesis, potentially validating it as a therapeutic target.