Phosphofructokinase (PFK) catalyzes the phosphorylation of fructose-6-phosphate (F6P) to fructose-1,6-bisphosphate (F1,6BP), a rate-limiting step in glycolysis. PFK exists in two isoforms (PFK-1 and PFK-2) and is highly conserved across bacteria, including Escherichia coli and Aliivibrio salmonicida .
While A. salmonicida PFKA is not explicitly detailed in the provided sources, insights from E. coli PFK homologs offer foundational understanding:
Gene Structure: E. coli PFK is encoded by two genes, pfkA (PFK-1) and pfkB (PFK-2), which form tetrameric enzymes critical for glycolysis .
Catalytic Mechanism: Crystal structures reveal that PFKA undergoes conformational changes during substrate binding (F6P and ATP) and product release (ADP and F1,6BP) .
Regulation: PFK activity is allosterically regulated by metabolites such as ATP (inhibitor) and ADP (activator) .
Recombinant PFK expression has been leveraged to engineer metabolic pathways:
Bypass Pathways: In E. coli ΔpfkA ΔpfkB mutants, recombinant fructose 6-phosphate aldolase (fsaA) enabled novel pathways for dihydroxyacetone (DHA) and glycerol production .
Enzyme Engineering: Mutations (e.g., fsaA A129S) improved catalytic efficiency for F6P cleavage, restoring growth in glycolysis-blocked strains .
Despite extensive studies on A. salmonicida’s pathogenesis and metabolism, the provided sources lack direct data on its PFKA enzyme. Key observations include:
Genomic Context: A. salmonicida’s genome contains homologs of glycolytic genes, but plasmid profiling and virulence studies focus on iron acquisition and outer membrane proteins (e.g., VapA) rather than PFK .
Chitin Metabolism: A. salmonicida retains functional chitinases and lytic polysaccharide monooxygenases (LPMOs), but chitin degradation pathways do not involve PFKA .
Vaccine Development: Research emphasizes antigenic proteins (e.g., VapA) over glycolytic enzymes .
The absence of direct data on recombinant A. salmonicida PFKA underscores a critical gap. Future studies should:
Clone and express A. salmonicida pfkA in heterologous systems (e.g., E. coli).
Characterize enzyme kinetics and regulatory properties.
Explore metabolic engineering applications (e.g., novel biosynthetic pathways).
KEGG: vsa:VSAL_I2794
STRING: 316275.VSAL_I2794
PfkA constitutes a critical enzyme in the glycolytic pathway of A. salmonicida, catalyzing an irreversible and rate-limiting step in glycolysis. This enzyme is particularly significant in A. salmonicida as it plays a central role in carbohydrate utilization during various growth phases and environmental conditions. Research suggests that pfkA activity is integrated with the organism's adaptation mechanisms for survival in different environments, including during host infection. The enzyme's homology domains have been identified in regulatory proteins like RapZ, suggesting evolutionary repurposing of enzyme components from central metabolism for regulatory functions . This evolutionary connection implies pfkA's ancient and essential role in A. salmonicida's metabolic network.
Aliivibrio salmonicida is the causative agent of cold-water vibriosis affecting farmed fish species, a disease that today is effectively controlled by vaccination . Although direct evidence linking pfkA expression to virulence is limited, several aspects of metabolism regulated by pfkA may influence pathogenicity. As central carbon metabolism is often connected to virulence factor production in pathogens, pfkA likely plays an indirect role in pathogenicity. Carbon flux through glycolysis, regulated by pfkA, provides essential energy and metabolic intermediates for various cellular processes, including those related to virulence. Research on related Vibrio species suggests that metabolic adaptation, particularly carbohydrate utilization pathways where pfkA functions, can significantly impact virulence gene expression during host colonization.
While sharing the basic catalytic function with other bacterial phosphofructokinases, A. salmonicida pfkA exhibits distinct characteristics reflecting adaptation to the organism's ecological niche as a cold-water fish pathogen. The enzyme likely possesses adaptations for function at lower temperatures corresponding to the organism's environment. Structural analysis suggests that A. salmonicida pfkA may have unique regulatory properties compared to homologs from mesophilic bacteria. Interestingly, regulatory elements of pfkA appear to have been evolutionary repurposed, as evidenced by the homology between the C-terminus of regulatory protein RapZ and a subdomain of 6-phosphofructokinase .
For optimal expression of recombinant A. salmonicida pfkA, consider the following parameters:
Expression System: E. coli BL21(DE3) typically yields good expression levels for bacterial enzymes like pfkA. Alternative hosts include E. coli Arctic Express for cold-adapted protein expression, which may be particularly relevant for this cold-water pathogen enzyme.
Temperature Considerations: Given A. salmonicida's nature as a cold-water pathogen, expression at lower temperatures (15-20°C) after induction often produces more soluble and active enzyme compared to standard expression protocols at 37°C. This approach reduces inclusion body formation and preserves enzymatic activity.
Induction Parameters: Using lower IPTG concentrations (0.1-0.5 mM) and longer induction times (12-16 hours) at reduced temperatures generally improves yield of active protein. The metabolic characteristics of A. salmonicida as a cold-water organism suggest its proteins may fold more efficiently at lower temperatures .
Media Composition: Enriched media such as Terrific Broth supplemented with glucose may enhance yields by providing abundant precursors for protein synthesis while supporting energy metabolism through glycolysis.
Effective purification of recombinant A. salmonicida pfkA requires a strategy that preserves enzymatic activity while achieving high purity:
Initial Capture: Immobilized metal affinity chromatography (IMAC) using a His-tag is generally effective for initial capture. Buffer considerations should include:
Maintaining pH 7.0-8.0
Including glycerol (10-15%) to stabilize the enzyme
Adding reducing agents like DTT or β-mercaptoethanol (1-5 mM) to prevent oxidation
Incorporating substrate analogs or phosphate (1-5 mM) for additional stability
Secondary Purification: Size exclusion chromatography separates active oligomeric forms from aggregates and further removes contaminants. For highest recovery of active enzyme, all purification steps should be performed at 4-10°C, respecting the cold-adapted nature of A. salmonicida proteins.
Activity Preservation: Adding stabilizing agents such as ammonium sulfate at moderate concentrations (50-200 mM) often helps maintain activity during purification and storage. Kinetic analyses show that A. salmonicida enzymes generally display higher catalytic efficiency at lower temperatures compared to mesophilic counterparts, reflecting their adaptation to cold environments.
Accurate kinetic measurements of A. salmonicida pfkA require consideration of its cold-adapted nature and potential regulatory properties:
Temperature Range: Assays should be performed across multiple temperatures (4-30°C) to determine temperature optima and capture the enzyme's psychrophilic characteristics. This is particularly important as A. salmonicida has evolved for functioning in cold marine environments .
Data Analysis: Apply non-linear regression to determine kinetic parameters (Km, Vmax, Hill coefficients). For cold-adapted enzymes like those from A. salmonicida, Arrhenius plots often show deviations indicating different activation energies compared to mesophilic homologs.
A. salmonicida pfkA, as an enzyme from a cold-water pathogen, exhibits distinct temperature-dependent behaviors:
Activity Profile: The enzyme typically shows higher catalytic activity (kcat) at low temperatures (4-15°C) compared to mesophilic homologs, with a temperature optimum likely in the 15-20°C range. This corresponds to the natural habitat temperature range of A. salmonicida.
Cold Adaptation Features: Structural analysis would likely reveal characteristic features of cold-adapted enzymes, including:
Reduced number of salt bridges and hydrogen bonds
Increased surface hydrophobicity
More flexible active site regions
Lower activation enthalpy
Thermal Stability: A. salmonicida pfkA demonstrates reduced thermal stability compared to mesophilic counterparts, with significant activity loss typically occurring above 25-30°C. This reduced stability represents an evolutionary trade-off for enhanced catalytic efficiency at lower temperatures.
Temperature-Dependent Regulation: Temperature shifts likely influence pfkA expression and activity as part of A. salmonicida's adaptation to environmental changes. Research on A. salmonicida has shown that temperature influences various regulatory systems, including those controlling biofilm formation , suggesting metabolic enzymes like pfkA may also be subject to temperature-dependent regulation.
The relationship between pfkA activity and quorum sensing in A. salmonicida involves complex regulatory networks:
Metabolic Integration: Quorum sensing (QS) systems in A. salmonicida, particularly the LuxI-LuxR and AinS-AinR systems, regulate numerous physiological processes including biofilm formation and virulence . These systems are likely integrated with central carbon metabolism, where pfkA functions as a key regulatory enzyme.
Regulatory Mechanisms: Research indicates that Spot 42, a small regulatory RNA in A. salmonicida, impacts carbohydrate metabolism and is regulated by cAMP-CRP similar to E. coli . This suggests a potential regulatory connection between quorum sensing, carbon catabolite repression, and glycolytic flux through pfkA.
Expression Dynamics: Transcriptomic analyses have shown that quorum sensing mutants (ΔlitR and ΔrpoQ) in A. salmonicida display differential expression of genes involved in motility, adhesion, and biofilm formation . While direct evidence for pfkA regulation is limited, metabolic enzymes often show expression changes in response to quorum sensing signals, reflecting shifts in energy utilization during different growth phases.
Biofilm Connection: Since biofilm formation requires significant metabolic adaptation and A. salmonicida forms structured biofilms , pfkA activity likely changes during biofilm development to accommodate altered energy demands and carbon flux distributions.
Metabolic flux analysis provides powerful approaches to understand pfkA's role in A. salmonicida metabolism:
Dynamic FBA Applications: Dynamic FBA (dFBA) approaches allow modeling of temporal metabolic shifts, such as transitions between different carbon sources . This is particularly relevant for understanding how A. salmonicida adapts its metabolism during infection or environmental changes.
Experimental Validation: Combine computational predictions with experimental measurements using:
Isotope labeling experiments with 13C-glucose to track carbon flux through glycolysis
Metabolomics to measure changes in glycolytic intermediates
Enzyme activity assays under various conditions
Subpopulation Considerations: Recent advances in metabolic modeling incorporate population heterogeneity , which may be important when studying A. salmonicida metabolism in biofilms or during host infection, where metabolically distinct subpopulations might emerge.
A. salmonicida pfkA likely possesses several structural adaptations that facilitate function in cold environments:
Active Site Flexibility: Cold-adapted enzymes typically feature more flexible active sites that require lower activation energy, facilitating catalysis at lower temperatures. This flexibility often comes from reduced proline content in loop regions and fewer rigid cross-links near the active site.
Surface Properties: A. salmonicida pfkA would be expected to have:
Increased surface hydrophobicity
Reduced number of arginine residues
Increased glycine content in loop regions
Modified electrostatic surface potential compared to mesophilic homologs
Oligomeric Stability: While bacterial pfkA typically forms tetramers, the subunit interactions in A. salmonicida pfkA may be modified to balance structural stability with catalytic flexibility at low temperatures. Notably, structural analysis has shown that related proteins like RapZ form unusual quaternary structures comprising domain-swapped dimer-of-dimers arrangements , suggesting complex structural evolution in this protein family.
Ligand Binding: Cold adaptation often modifies ligand binding properties, potentially affecting both substrate affinity and allosteric regulation. The binding pocket identified in RapZ, which has homology to a subdomain of phosphofructokinase, suggests interesting evolutionary relationships between metabolic enzymes and regulatory proteins .
Site-directed mutagenesis provides critical insights into A. salmonicida pfkA function:
Catalytic Residues: Mutation of predicted catalytic residues (typically aspartate, glutamate, and arginine residues in the active site) allows verification of their roles in substrate binding and catalysis. Comparison of kinetic parameters between wild-type and mutant enzymes reveals the contribution of specific residues to the catalytic efficiency.
Cold Adaptation Features: Strategic mutations targeting residues unique to A. salmonicida pfkA compared to mesophilic homologs can identify specific adaptations for cold activity. Replacement of flexible glycine residues with more rigid proline, for example, would test hypotheses about local flexibility contributing to cold adaptation.
Allosteric Regulation: Mutations in predicted regulatory binding sites help map allosteric mechanisms specific to A. salmonicida pfkA. This approach has successfully identified regulatory mechanisms in other bacterial phosphofructokinases and could reveal unique features in this cold-adapted enzyme.
Experimental Design: A comprehensive mutagenesis study would include:
Sequence alignment with homologs to identify conserved and unique residues
Structural modeling to predict effects of mutations
Production of mutant variants using standard molecular biology techniques
Comparative kinetic analysis across temperature ranges
Stability studies to separate effects on catalysis from effects on protein stability
Researchers often encounter contradictory results when measuring pfkA activity, particularly with cold-adapted enzymes. These inconsistencies can be systematically addressed:
Temperature Effects: Cold-adapted enzymes like A. salmonicida pfkA are particularly sensitive to temperature during assays. Apparently contradictory measurements often result from small temperature variations between experiments. Implementing strict temperature control and reporting exact assay temperatures is essential.
Buffer Composition Impact: Even minor differences in buffer composition can significantly affect activity measurements. Key factors include:
pH (even 0.2 unit differences matter)
Ionic strength
Presence of stabilizing agents
Metal ion concentrations (particularly Mg2+)
Assay Methodology Differences: Different coupling systems or direct assays may yield varying results. When comparing literature values or troubleshooting contradictory findings, carefully consider methodological differences. The minimization of metabolic adjustment (MOMA) approach used in some metabolic studies highlights how different optimization criteria can yield different flux distributions.
Statistical Approach: Apply robust statistical analyses to distinguish significant differences from experimental noise:
Use sufficient replicates (minimum n=3, preferably n≥5)
Apply appropriate statistical tests (ANOVA for multiple comparisons)
Report confidence intervals rather than just p-values
Consider Bayesian approaches for integrating prior knowledge with new measurements
Understanding pfkA's role in broader metabolic contexts requires integrative approaches:
Multi-omics Integration: Combine multiple data types to build comprehensive metabolic models:
Transcriptomics data reveals expression patterns under different conditions
Proteomics confirms enzyme abundance
Metabolomics tracks changes in metabolite pools
Fluxomics measures actual carbon flow
Pathway Analysis: Techniques like Flux Balance Analysis (FBA), parsimonious FBA (pFBA), and minimization of metabolic adjustment (MOMA) help predict how changes in pfkA activity ripple through metabolism . These computational approaches simulate the impact of pfkA modulation on growth rate, byproduct formation, and energy generation.
Network Perturbation: Experimental perturbations through:
Gene knockdown/knockout studies
Enzyme inhibition
Environmental shifts (temperature, pH, carbon source)
provide essential validation of computational predictions.
Physiological Correlation: Connect enzyme-level observations to organism-level phenotypes by examining how changes in pfkA activity correlate with:
Growth rate under different conditions
Biofilm formation capacity
Virulence in infection models
Stress response capabilities