Recombinant Neosartorya fumigata 3-ketoacyl-CoA reductase (AFUB_027290) is a microsomal membrane-bound enzyme involved in fatty acid elongation. It is a component of the system that produces very long-chain fatty acids (VLCFAs, 26 carbons) from palmitate. Specifically, it catalyzes the reduction of the 3-ketoacyl-CoA intermediate in each elongation cycle. These VLCFAs serve as precursors for ceramide and sphingolipids.
Neosartorya fumigata 3-ketoacyl-CoA reductase (AFUB_027290) is an enzyme involved in fatty acid metabolism in the pathogenic fungus Neosartorya fumigata (also known as Aspergillus fumigatus). The enzyme belongs to the short-chain dehydrogenase/reductase (SDR) family and catalyzes the reduction of 3-ketoacyl-CoA intermediates to 3-hydroxyacyl-CoA in the fatty acid elongation cycle. This reaction represents the second step in fatty acid biosynthesis, which is essential for membrane lipid formation and fungal growth. The enzyme utilizes NADPH as a cofactor for the reduction reaction and is characterized by its EC number 1.1.1.- .
The enzyme is known by several alternative names:
3-ketoacyl-CoA reductase
3-ketoreductase
KAR
Microsomal beta-keto-reductase
Its gene name is AFUB_027290, and its UniProt accession number is B0XSI3. The enzyme is classified under EC 1.1.1.- (oxidoreductases acting on the CH-OH group of donors with NAD+ or NADP+ as acceptor) .
For recombinant expression of Neosartorya fumigata 3-ketoacyl-CoA reductase, the following methodological approach is recommended:
Gene Amplification: PCR-amplify the AFUB_027290 gene (coding for amino acids 1-345) using genomic DNA from Neosartorya fumigata strain CEA10/CBS 144.89/FGSC A1163 as template.
Expression Vector Construction: Clone the amplified gene into an appropriate expression vector (pET system vectors work well for heterologous protein expression). Include a purification tag (His6, GST, or FLAG) to facilitate downstream purification.
Host Selection: Transform the construct into a suitable E. coli expression strain such as BL21(DE3), Rosetta, or Origami for expression. For more complex folding requirements, consider Pichia pastoris or insect cell expression systems.
Expression Conditions: Optimize expression by testing:
Induction temperature (16-37°C)
IPTG concentration (0.1-1.0 mM)
Expression duration (4-24 hours)
Media composition (LB, TB, or auto-induction media)
Solubility Assessment: Analyze protein solubility by SDS-PAGE comparison of whole-cell lysate, soluble, and insoluble fractions.
For fungal membrane proteins like 3-ketoacyl-CoA reductase, expression may require optimization to ensure proper folding and activity retention.
A multi-step purification strategy is recommended:
Initial Capture:
For His-tagged constructs: Immobilized metal affinity chromatography (IMAC) using Ni-NTA or Co-NTA resins
For GST-tagged constructs: Glutathione affinity chromatography
Intermediate Purification:
Ion exchange chromatography (IEX): Based on the theoretical pI of the protein
Hydrophobic interaction chromatography (HIC): Particularly useful for separating properly folded from misfolded species
Polishing Step:
Size exclusion chromatography (SEC): To obtain highly pure monomeric protein and determine oligomeric state
Buffer Optimization:
Standard buffer: 50 mM Tris-HCl pH 7.5-8.0, 150-300 mM NaCl, 5-10% glycerol
Consider including stabilizing additives: 0.5-1 mM DTT or 2-mercaptoethanol, 0.1 mM EDTA
Storage Conditions:
The activity of 3-ketoacyl-CoA reductase can be measured using several complementary approaches:
Spectrophotometric Assay:
Principle: Monitor the oxidation of NADPH at 340 nm (decrease in absorbance)
Reaction mixture components:
100 mM Tris-HCl buffer (pH 7.5)
0.15 mM NADPH
0.1-0.5 mM 3-ketoacyl-CoA substrate (acetoacetyl-CoA is commonly used)
Purified enzyme (0.1-1 μg)
Calculate activity using the extinction coefficient of NADPH (ε = 6220 M⁻¹cm⁻¹)
HPLC-based Product Analysis:
Separate substrate and product using reverse-phase HPLC
Use C18 column with acetonitrile/water gradient
Monitor CoA derivatives at 254-260 nm
Coupled Enzyme Assay:
Couple the production of NADP+ to a secondary enzyme reaction that produces a more easily detectable signal
Controls and Validation:
Negative control: Reaction without enzyme
Positive control: Commercial 3-ketoacyl-CoA reductase from related species
Inhibition control: Include known SDR inhibitors (e.g., NADP+ analogs)
The role of 3-ketoacyl-CoA reductase in fungal pathogenicity is multifaceted and encompasses several interconnected mechanisms:
Membrane Integrity and Adaptation:
The enzyme is crucial for fatty acid biosynthesis, which directly affects membrane composition
Proper membrane fluidity is essential for surviving host environmental stresses (temperature, pH, oxidative stress)
Altered membrane composition can affect virulence factor secretion
Biofilm Formation:
Fatty acid metabolism impacts extracellular matrix production
Disruption of fatty acid biosynthesis genes in related fungi has been shown to impair biofilm formation and reduce virulence
Host-Pathogen Interaction:
Fatty acid-derived molecules serve as signaling compounds during infection
These compounds can modulate host immune responses
Potential as Drug Target:
The distinctiveness of fungal fatty acid metabolism compared to human pathways makes it an attractive antifungal target
Inhibition of 3-ketoacyl-CoA reductase could potentially disrupt multiple virulence mechanisms simultaneously
The substrate specificity of Neosartorya fumigata 3-ketoacyl-CoA reductase is governed by several structural determinants:
Substrate Binding Pocket Architecture:
The enzyme possesses a hydrophobic tunnel that accommodates the acyl chain
Key residues forming this pocket include conserved leucine, isoleucine, and phenylalanine residues
The length and shape of this pocket determine chain length preference
Catalytic Residues:
The catalytic tetrad (Asn-Ser-Tyr-Lys) positions the substrate optimally for hydride transfer
The Tyr residue acts as a proton donor in the reaction mechanism
The Ser and Asn residues form a hydrogen-bonding network stabilizing reaction intermediates
Cofactor Binding Region:
The Rossmann fold region binds NADPH with high specificity
Residues that interact with the 2'-phosphate group of NADPH determine the preference for NADPH over NADH
Conformational Dynamics:
The enzyme undergoes conformational changes upon binding of NADPH
These changes prepare the active site for substrate binding
Further conformational adjustments occur during the catalytic cycle
A detailed understanding of these mechanisms requires crystallographic studies or homology modeling based on related enzymes, combined with site-directed mutagenesis to confirm the role of specific residues.
Several genetic approaches can be employed to investigate the function of 3-ketoacyl-CoA reductase in Neosartorya fumigata:
Gene Knockout/Deletion:
Create a knockout construct by replacing part of the AFUB_027290 coding sequence with a selection marker (e.g., hygromycin resistance gene)
Use homologous recombination for targeted integration
Verify successful deletion by PCR and Southern blotting
Analyze the phenotypic consequences, including growth, morphology, and virulence
Gene Complementation:
Site-Directed Mutagenesis:
Introduce specific mutations in catalytic or substrate-binding residues
Assess the effects on enzyme activity and substrate specificity
Generate structure-function relationships
Conditional Expression Systems:
Place the gene under an inducible promoter
Study the immediate consequences of enzyme depletion
Useful for essential genes where knockout might be lethal
Reporter Gene Fusion:
Create GFP or other fluorescent protein fusions
Determine subcellular localization and expression patterns
Monitor enzyme dynamics in living cells
These approaches, particularly gene knockout and complementation studies as demonstrated in the analysis of other fungal enzymes like EasM, provide powerful tools for understanding protein function in vivo .
To characterize the substrate specificity of Neosartorya fumigata 3-ketoacyl-CoA reductase, researchers can employ the following analytical approaches:
Steady-State Kinetics:
Determine Km and kcat values for various 3-ketoacyl-CoA substrates of different chain lengths
Calculate catalytic efficiency (kcat/Km) to quantify preference
Data can be organized in a table format:
| Substrate | Km (μM) | kcat (s⁻¹) | kcat/Km (M⁻¹s⁻¹) | Relative Efficiency |
|---|---|---|---|---|
| Acetoacetyl-CoA (C4) | [value] | [value] | [value] | [value] |
| 3-Ketohexanoyl-CoA (C6) | [value] | [value] | [value] | [value] |
| 3-Ketooctanoyl-CoA (C8) | [value] | [value] | [value] | [value] |
| 3-Ketodecanoyl-CoA (C10) | [value] | [value] | [value] | [value] |
| 3-Ketododecanoyl-CoA (C12) | [value] | [value] | [value] | [value] |
| 3-Ketotetradecanoyl-CoA (C14) | [value] | [value] | [value] | [value] |
| 3-Ketohexadecanoyl-CoA (C16) | [value] | [value] | [value] | [value] |
| 3-Ketooctadecanoyl-CoA (C18) | [value] | [value] | [value] | [value] |
Isothermal Titration Calorimetry (ITC):
Measure binding affinity (Kd) for different substrates
Determine thermodynamic parameters (ΔH, ΔG, ΔS)
Provide insights into the binding mechanism
Mass Spectrometry-Based Approaches:
Use LC-MS/MS to identify and quantify reaction products
Perform competitive assays with substrate mixtures to determine preferences
Monitor time-course of substrate conversion for complex substrate mixtures
Structural Analysis:
X-ray crystallography with bound substrates or substrate analogs
Molecular docking simulations to predict binding modes
Molecular dynamics simulations to study enzyme-substrate interactions
When facing contradictory kinetic data for 3-ketoacyl-CoA reductase, consider these methodological approaches:
Standardize Experimental Conditions:
Ensure consistent buffer composition, pH, and temperature across experiments
Verify enzyme purity and stability under assay conditions
Standardize substrate preparation methods to eliminate concentration inconsistencies
Identify Potential Sources of Discrepancy:
Enzyme preparation differences (tag position, purification method)
Substrate quality and solubility issues
Experimental approach variations (direct vs. coupled assays)
Presence of inhibitors or activators in reagents
Systematic Validation Studies:
Perform enzyme concentration dependency tests to confirm linearity
Conduct time-course studies to ensure initial velocity conditions
Evaluate potential product inhibition effects
Consider allosteric regulation by testing various substrate concentrations
Alternative Data Analysis Approaches:
Apply different kinetic models (Michaelis-Menten, Hill, etc.)
Use global fitting for complex kinetic schemes
Perform replicate experiments with statistical analysis
Consider ensemble averaging of multiple experimental approaches
Collaborative Cross-Validation:
Have different laboratory members independently perform assays
Exchange enzyme preparations or substrates with collaborating labs
Consider round-robin testing if discrepancies persist
Comparing Neosartorya fumigata 3-ketoacyl-CoA reductase with homologous enzymes from other fungi reveals important evolutionary and functional relationships:
For characterizing Neosartorya fumigata strains based on 3-ketoacyl-CoA reductase variants, several molecular typing approaches are available:
Short Tandem Repeat (STR) Analysis:
STR assays can discriminate between different Neosartorya fumigata strains with high resolution
The standard STR Aspergillus fumigatus (STR Af) typing method uses nine microsatellite markers amplified by multiplex PCR
This approach has high discriminatory power (D = 0.994+) and can distinguish closely related isolates
TRESP (Tandem Repeats within Exons of Surface Protein genes) Typing:
Recently developed method based on hypervariable tandem repeats within exons of surface protein coding genes
Uses three to four markers for strain discrimination
Has comparable discriminatory power to STR but requires less specialized equipment
Particularly useful for grouping strains with similar resistance mechanisms
Combined Approaches for Enhanced Resolution:
Application to 3-ketoacyl-CoA Reductase Variants:
Sequencing the AFUB_027290 gene in different isolates
Analyzing expression levels by RT-qPCR
Correlating genetic variations with phenotypic characteristics
Examining potential associations between reductase variants and antifungal resistance
These methods have been successfully applied to analyze Aspergillus fumigata populations, particularly in the context of antifungal resistance mechanisms, and could be adapted to study 3-ketoacyl-CoA reductase variants .
Future research on Neosartorya fumigata 3-ketoacyl-CoA reductase offers several promising directions for antifungal development:
Structure-Based Drug Design:
Determine the crystal structure of Neosartorya fumigata 3-ketoacyl-CoA reductase
Identify unique structural features that differentiate it from human homologs
Design selective inhibitors targeting fungal-specific binding pockets
Develop transition-state analogs as potent inhibitors
Combination Therapy Approaches:
Investigate synergistic effects between 3-ketoacyl-CoA reductase inhibitors and existing antifungals
Target multiple steps in the fatty acid biosynthesis pathway simultaneously
Exploit metabolic vulnerabilities created by enzyme inhibition
Alternative Inhibition Strategies:
Develop allosteric inhibitors that affect enzyme dynamics rather than active site binding
Explore covalent inhibitors that form irreversible bonds with key residues
Investigate RNA-based approaches to downregulate enzyme expression
Biomarker Development:
Identify unique metabolic signatures associated with 3-ketoacyl-CoA reductase activity
Develop diagnostic tools based on these signatures
Enable personalized treatment approaches based on fungal metabolic profiling
Resistance Mechanism Characterization:
Study potential resistance mechanisms that could emerge against 3-ketoacyl-CoA reductase inhibitors
Design pre-emptive strategies to overcome predicted resistance mechanisms
Implement evolutionary studies to predict resistance development pathways
These research directions have the potential to yield novel antifungal approaches that could address the growing problem of resistance to current antifungal agents.
Systems biology offers powerful approaches to contextualize the role of 3-ketoacyl-CoA reductase within the broader metabolic network of Neosartorya fumigata:
Metabolic Flux Analysis:
Use isotope labeling to track carbon flow through fatty acid biosynthesis
Quantify how 3-ketoacyl-CoA reductase activity influences global metabolic fluxes
Identify potential metabolic chokepoints and compensatory pathways
Multi-omics Integration:
Combine transcriptomics, proteomics, and metabolomics data
Map how genetic or environmental perturbations affect 3-ketoacyl-CoA reductase expression and activity
Identify regulatory networks controlling enzyme expression and activity
Genome-Scale Metabolic Modeling:
Develop computational models of Neosartorya fumigata metabolism
Simulate the effects of 3-ketoacyl-CoA reductase inhibition on fungal growth
Predict metabolic vulnerabilities and potential drug targets
Protein-Protein Interaction Networks:
Identify interaction partners of 3-ketoacyl-CoA reductase
Map the enzyme's position within multi-protein complexes
Understand how physical interactions regulate enzyme function
Environmental Response Mapping:
Characterize how environmental stresses affect 3-ketoacyl-CoA reductase activity
Understand enzyme regulation during host infection
Identify conditions that might enhance or reduce antifungal efficacy
These systems-level approaches would provide a comprehensive understanding of how 3-ketoacyl-CoA reductase functions within the complex metabolic network of Neosartorya fumigata, potentially revealing unexpected therapeutic opportunities.