Recombinant Neosartorya fumigata 3-ketoacyl-CoA reductase (AFUA_2G11540) is a microsomal membrane-bound enzyme involved in fatty acid elongation. Specifically, it participates in the production of very long-chain fatty acids (VLCFAs), such as 26-carbon VLCFAs, from palmitate. Its catalytic function involves the reduction of the 3-ketoacyl-CoA intermediate formed during each cycle of fatty acid elongation. These VLCFAs are essential precursors for ceramide and sphingolipid biosynthesis.
KEGG: afm:AFUA_2G11540
STRING: 5085.CADAFUBP00002668
Neosartorya fumigata (also known as Aspergillus fumigatus) 3-ketoacyl-CoA reductase (AFUA_2G11540) is a critical enzyme involved in fatty acid elongation pathways. Similar to its homologs in other species, this enzyme likely catalyzes the second step in very-long-chain fatty acid biosynthesis, specifically the reduction of 3-ketoacyl-CoA to 3-hydroxyacyl-CoA using NADPH as a cofactor . The reaction can be represented as:
very-long-chain 3-oxoacyl-CoA + NADPH + H⁺ → very-long-chain (3R)-3-hydroxyacyl-CoA + NADP⁺
In fungi like N. fumigata, this enzyme contributes to the synthesis of lipids essential for cell membrane integrity, virulence factor production, and survival during infection processes . It's particularly important for the organism's adaptability to different host environments during pathogenesis.
While specific structural data on N. fumigata 3-ketoacyl-CoA reductase is limited in the provided sources, we can draw inferences from homologous enzymes. Based on similar enzymes characterized in other species, N. fumigata 3-ketoacyl-CoA reductase likely belongs to the short-chain dehydrogenase/reductase (SDR) superfamily .
The enzyme likely contains:
A conserved Rossmann fold for nucleotide binding
A catalytic triad/tetrad in the active site
A substrate-binding domain that accommodates very-long-chain fatty acyl substrates
When analyzing structural homology, researchers should consider:
Researchers investigating structural aspects should employ comparative modeling techniques using solved structures of related enzymes, with validation through experimental methods such as circular dichroism or X-ray crystallography.
When selecting an expression system for recombinant N. fumigata 3-ketoacyl-CoA reductase, researchers should consider several factors that influence protein yield, folding, and activity. Based on approaches used for similar enzymes, the following systems offer distinct advantages:
| Expression System | Advantages | Considerations | Recommended Protocol |
|---|---|---|---|
| E. coli (BL21 DE3) | High yield, cost-effective, rapid growth | May require optimization for fungal protein folding | Use low-temperature induction (16-18°C) with 0.1-0.5 mM IPTG; add 1% glucose to base media to reduce basal expression |
| Yeast (P. pastoris) | Post-translational modifications, proper folding | Longer expression time | Methanol-inducible expression with 0.5-1.0% methanol; maintain at pH 6.0 |
| Baculovirus/Insect Cells | Complex eukaryotic folding machinery | Higher cost, technical complexity | Sf9 or High Five™ cells with MOI of 2-5; harvest 48-72h post-infection |
For membrane-associated enzymes like 3-ketoacyl-CoA reductase, researchers should consider adding a solubility tag (e.g., MBP, SUMO) or expressing a truncated version excluding transmembrane domains to enhance solubility while maintaining catalytic activity . Expression conditions should be optimized through small-scale pilot experiments before scaling up production.
Researchers should monitor expression through time-course SDS-PAGE analysis and Western blotting, with activity assays to confirm proper folding. This methodological approach ensures the production of functionally active recombinant protein suitable for downstream applications.
Purification of recombinant N. fumigata 3-ketoacyl-CoA reductase requires a strategic multi-step approach to maintain enzyme activity while achieving high purity. Based on established protocols for similar enzymes, the following purification workflow is recommended:
Initial Capture: Immobilized metal affinity chromatography (IMAC) using a His-tag is effective for initial purification. Use a gradient of 20-250 mM imidazole in a buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, and 0.1% appropriate detergent (for membrane-associated forms) .
Intermediate Purification: Ion exchange chromatography (IEX) on a Q-Sepharose column at pH 7.5-8.0, with elution using a 0-500 mM NaCl gradient.
Polishing Step: Size exclusion chromatography (Superdex 200) to remove aggregates and achieve final purity.
This process typically yields >95% pure protein as assessed by SDS-PAGE and silver staining. Throughout purification, researchers should:
Maintain temperature at 4°C to prevent degradation
Include 1 mM DTT or 5 mM β-mercaptoethanol to protect thiol groups
Add 10% glycerol to all buffers to enhance stability
Test enzyme activity after each purification step to monitor functional integrity
Activity assays should measure the NADPH-dependent reduction of 3-ketoacyl-CoA substrates spectrophotometrically by monitoring the decrease in absorbance at 340 nm. Researchers should expect a specific activity of approximately 5-15 μmol/min/mg protein for properly folded enzyme, though this may vary based on substrate chain length.
Determining accurate kinetic parameters for N. fumigata 3-ketoacyl-CoA reductase requires careful experimental design and consideration of multiple factors. The standard assay employs spectrophotometric measurement of NADPH oxidation at 340 nm . Researchers should implement the following methodological approach:
Reaction Buffer Optimization:
100 mM potassium phosphate buffer (pH 6.5-7.5)
150 mM NaCl
1 mM DTT or TCEP (reducing agent)
Temperature: 25-30°C (optimization required)
Substrate Preparation:
Test various chain-length 3-ketoacyl-CoA substrates (C16-C34)
Prepare stock solutions in water or buffer containing 0.1% BSA to prevent substrate adhesion to tubes
Use concentration ranges of 1-100 μM for Km determination
Experimental Design:
Standard assay volume: 200 μL in 96-well plate format or 1 mL in cuvette
Fixed NADPH concentration (200 μM) when determining substrate Km
Fixed substrate concentration (5x Km) when determining NADPH Km
Measure initial rates (first 10% of substrate conversion)
Include enzyme-free and substrate-free controls
Data Analysis:
Plot initial velocity vs. substrate concentration
Fit to Michaelis-Menten equation using non-linear regression
Calculate apparent Km, Vmax, kcat, and kcat/Km
For typical very-long-chain 3-ketoacyl-CoA reductases, researchers can expect Km values in the low micromolar range (5-50 μM) for fatty acyl-CoA substrates, with potential variation based on chain length. The enzyme likely follows Michaelis-Menten kinetics, though substrate inhibition may occur at higher concentrations (>100 μM) due to detergent-like effects of acyl-CoA molecules.
The activity and stability of recombinant N. fumigata 3-ketoacyl-CoA reductase are influenced by multiple experimental conditions that researchers must carefully control. Based on studies of related enzymes, the following factors have significant impacts:
| Factor | Optimal Conditions | Effect on Activity/Stability | Experimental Considerations |
|---|---|---|---|
| pH | 6.5-7.5 | Activity typically shows bell-shaped dependence on pH | Buffer systems should maintain stability across pH range tested; use overlapping buffers to eliminate buffer-specific effects |
| Temperature | 25-30°C for activity; 4°C for storage | Higher temperatures increase reaction rates but decrease stability | Include temperature controls in kinetic experiments; avoid freeze-thaw cycles |
| Cofactor concentration | 100-200 μM NADPH | Sub-optimal concentrations limit reaction rate | Fresh NADPH preparation is essential; monitor 260/340 nm ratio to verify quality |
| Ionic strength | 100-200 mM NaCl | Moderate ionic strength typically enhances stability | Test effects of different salts and concentrations |
| Reducing agents | 1-5 mM DTT, β-ME, or TCEP | Protect catalytic and structural thiols | Include in all buffers; TCEP offers greater stability than DTT |
| Detergents | 0.01-0.05% non-ionic detergents | May enhance stability of membrane-associated forms | Test detergent types and concentrations; minimize for soluble constructs |
Researchers have observed that very-long-chain 3-ketoacyl-CoA reductases often exhibit higher stability in the presence of glycerol (10-20%) or other osmolytes. For long-term storage, the enzyme should be maintained at high concentration (>1 mg/mL) in buffer containing 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT at -80°C, with aliquoting to avoid repeated freeze-thaw cycles.
Thermal shift assays (differential scanning fluorimetry) provide a rapid method to screen stabilizing conditions, while long-term activity assays (measuring activity retention over time) should be performed to validate storage conditions.
N. fumigata 3-ketoacyl-CoA reductase likely plays multiple roles in fungal virulence through its contribution to lipid metabolism. While direct evidence for this specific enzyme is limited in the provided sources, we can extrapolate based on known virulence mechanisms of N. fumigata and the role of fatty acid metabolism in fungal pathogens:
Cell Wall and Membrane Integrity: Very-long-chain fatty acids synthesized through pathways involving 3-ketoacyl-CoA reductase are essential components of fungal membranes and contribute to cell wall structure. These components affect the organism's resistance to host defense mechanisms, antifungal agents, and environmental stresses .
Metabolic Adaptation During Infection: N. fumigata can modify its metabolism to adapt to the host environment during infection. The fatty acid elongation pathway likely contributes to this adaptability by allowing the production of specialized lipids needed for survival in different host tissues .
Secondary Metabolite Production: N. fumigata produces several virulence-associated secondary metabolites, including ergot alkaloids like fumigaclavines that have been shown to contribute significantly to virulence in insect models . The biosynthesis of these compounds may indirectly depend on fatty acid metabolism pathways involving 3-ketoacyl-CoA reductase.
Researchers investigating the relationship between 3-ketoacyl-CoA reductase and virulence should consider:
Creating knockout or knockdown mutants to assess effects on fatty acid composition and virulence
Performing lipidomic analysis to identify specific lipid species affected by enzyme dysfunction
Utilizing infection models (such as Galleria mellonella larvae, similar to studies with ergot alkaloid pathways) to assess virulence differences
Examining enzyme expression levels during different stages of infection
The interconnection between lipid metabolism and virulence represents an important research direction, as it may reveal potential targets for antifungal development.
Understanding the structural differences between N. fumigata 3-ketoacyl-CoA reductase and human homologs provides valuable insights for selective antifungal drug development. While detailed structural information on the N. fumigata enzyme is not provided in the search results, we can propose the following methodological approach to identify and exploit such differences:
Comparative Sequence Analysis:
Perform multiple sequence alignment between N. fumigata 3-ketoacyl-CoA reductase and human homologs (including human very-long-chain 3-ketoacyl-CoA reductase)
Identify regions of low sequence conservation, particularly near the active site and substrate-binding pocket
Quantify conservation scores at catalytic residues and substrate-interaction sites
Homology Modeling and Structural Analysis:
Generate homology models based on crystal structures of related enzymes
Compare binding pocket architecture and electrostatic surface potential
Perform molecular dynamics simulations to identify differences in flexibility and conformational states
Exploitable Structural Features:
Based on known differences between fungal and human enzymes in similar pathways, researchers should focus on:
| Structural Feature | Potential Differences | Drug Development Strategy |
|---|---|---|
| Substrate binding pocket | Likely broader in fungal enzyme to accommodate diverse chain lengths | Design inhibitors that exploit unique pocket geometry |
| Cofactor binding site | May have different residues interacting with adenosine portion of NADPH | Develop compounds that mimic NADPH but interact with fungal-specific residues |
| Allosteric sites | Potential regulatory sites present only in fungal enzyme | Identify and target fungal-specific allosteric sites |
| Access channels | Different topology affecting substrate access | Design molecules that block fungal-specific channels |
Inhibitor Design Approaches:
Structure-based virtual screening against fungal-specific binding pockets
Fragment-based drug discovery focused on differential binding sites
Rational design of substrate analogs with substituents directed toward non-conserved regions
Development of covalent inhibitors targeting fungal-specific cysteine residues
Researchers have found success with similar approaches targeting other enzymes, such as the development of AKR1C3 inhibitors like ASP9521 . This compound demonstrates how selective targeting of similar enzymes can be achieved through structural understanding. For N. fumigata 3-ketoacyl-CoA reductase, in vitro inhibition assays should evaluate both antifungal activity and mammalian cell toxicity to ensure selective targeting.
Researchers frequently encounter several challenges when expressing recombinant N. fumigata 3-ketoacyl-CoA reductase. Based on experience with similar enzymes and recombinant protein production, the following methodological solutions are recommended:
| Challenge | Potential Causes | Solutions and Approaches |
|---|---|---|
| Low expression yield | Codon bias, toxic to host, poor vector choice | 1. Optimize codons for expression host 2. Use tightly regulated inducible promoters 3. Try different vector/host combinations 4. Express in fungal systems for better compatibility |
| Inclusion body formation | Improper folding, high expression rate, hydrophobic regions | 1. Lower induction temperature (16-18°C) 2. Reduce inducer concentration 3. Co-express with chaperones (GroEL/ES, DnaK/J) 4. Add solubility tags (MBP, SUMO, TRX) 5. Include 5-10% glycerol in growth media |
| Loss of enzymatic activity | Improper folding, cofactor issues, inactive conformation | 1. Add NADP+ to purification buffers (0.1 mM) 2. Include stabilizing agents (glycerol, arginine) 3. Verify correct disulfide formation 4. Test activity immediately after purification |
| Protein aggregation | Hydrophobic interactions, improper buffer conditions | 1. Optimize buffer conditions (pH 7.0-8.0, 150-300 mM NaCl) 2. Add stabilizing agents (0.5-1 M arginine, 10% glycerol) 3. Include mild detergents (0.03% DDM or CHAPS) 4. Maintain protein at high dilution during refolding |
| Proteolytic degradation | Host proteases, sample handling | 1. Add protease inhibitor cocktail during lysis 2. Include EDTA in buffers (1 mM) 3. Perform purification at 4°C 4. Add stabilizing agents to storage buffer |
For particularly problematic expressions, researchers should consider:
Cell-Free Expression Systems: These bypass issues related to cell toxicity and provide better control over expression conditions.
Fungal Expression Hosts: Homologous expression in Aspergillus or Pichia systems may provide native folding machinery specific to fungal enzymes.
Refolding Protocols: If inclusion bodies are unavoidable, develop a systematic refolding protocol using a matrix approach varying pH, ionic strength, redox conditions, and additives.
Protein Engineering: Consider expressing individual domains separately or creating chimeric constructs with well-expressed homologs to improve yield while maintaining catalytic function.
Successful expression often requires iterative optimization and combination of multiple strategies tailored to the specific challenges of N. fumigata 3-ketoacyl-CoA reductase.
Investigating protein-protein interactions (PPIs) within the fatty acid elongation complex requires a multi-technique approach to capture both stable and transient interactions. Based on successful studies of similar multi-component enzyme complexes , researchers should implement the following methodological strategy:
Co-Immunoprecipitation (Co-IP) Studies:
Generate specific antibodies against N. fumigata 3-ketoacyl-CoA reductase or use epitope-tagged versions
Perform reciprocal Co-IP experiments to confirm interactions
Use mild detergents (0.5-1% NP-40 or 0.1-0.3% digitonin) to preserve membrane protein complexes
Analyze by Western blotting with antibodies against suspected interaction partners
Similar approaches have successfully identified protein-protein interactions in other systems, such as the interaction between TSHR and CD40 proteins demonstrated through Co-IP studies .
Proximity-Based Labeling:
Generate BioID or TurboID fusion constructs with N. fumigata 3-ketoacyl-CoA reductase
Express in fungal cells and induce biotinylation
Purify biotinylated proteins and identify by mass spectrometry
Validate hits by directed co-immunoprecipitation
Crosslinking Mass Spectrometry (XL-MS):
Apply chemical crosslinkers (DSS, BS3, or EDC/NHS) to stabilize protein complexes
Digest crosslinked complexes and analyze by LC-MS/MS
Identify crosslinked peptides using specialized search algorithms
Map interaction interfaces to create structural models
Microscopy-Based Approaches:
Perform immunofluorescence co-localization studies
Use Förster Resonance Energy Transfer (FRET) to detect direct interactions
Implement Bimolecular Fluorescence Complementation (BiFC) to visualize interactions in living cells
Functional Validation:
Generate knockdown/knockout mutants of suspected interaction partners
Assess effects on 3-ketoacyl-CoA reductase activity and localization
Perform enzyme assays with reconstituted components to verify functional interactions
When interpreting results, researchers should consider that:
The fungal fatty acid elongation complex likely contains at least four enzymes: 3-ketoacyl-CoA synthase, 3-ketoacyl-CoA reductase, 3-hydroxyacyl-CoA dehydratase, and enoyl-CoA reductase
Interactions may be substrate-dependent or condition-specific
The complex may exist in different stoichiometries depending on cellular conditions
This comprehensive approach ensures robust identification and characterization of protein-protein interactions within the elongation complex.
The investigation of N. fumigata 3-ketoacyl-CoA reductase in the context of antifungal resistance presents several high-priority research directions. Based on current understanding of fungal resistance mechanisms and lipid metabolism, researchers should consider the following approaches:
Comparative Expression Analysis:
Measure expression levels of 3-ketoacyl-CoA reductase in antifungal-resistant vs. sensitive strains
Perform RNA-seq analysis before and after exposure to different antifungal classes
Correlate expression changes with changes in lipid composition and antifungal susceptibility
Genetic Modification Studies:
Generate overexpression and knockdown/knockout mutants
Assess impact on susceptibility to multiple antifungal classes (azoles, echinocandins, polyenes)
Measure changes in membrane fluidity, permeability, and ergosterol content
Lipidomic Profiling:
Compare lipid profiles between wild-type and mutant strains
Identify specific lipid species altered in resistant isolates
Correlate changes in very-long-chain fatty acids with resistance phenotypes
Structure-Function Analysis:
Identify natural variants of the enzyme in resistant clinical isolates
Perform site-directed mutagenesis to assess the impact of specific residues
Develop structure-based models to explain how mutations affect enzyme function
Inhibitor Development and Testing:
Design and screen specific inhibitors targeting N. fumigata 3-ketoacyl-CoA reductase
Test combinations with existing antifungals for synergistic effects
Evaluate inhibitors against resistant clinical isolates
The connection to antifungal resistance is particularly relevant given that alterations in membrane composition can affect drug uptake, efflux pump activity, and target accessibility. Neosartorya species have demonstrated variable susceptibilities to antifungal drugs, with some showing resistance to multiple agents . Understanding how 3-ketoacyl-CoA reductase contributes to these resistance phenotypes could lead to novel therapeutic strategies or resistance prediction markers.
Systems biology offers powerful frameworks to comprehensively understand the role of N. fumigata 3-ketoacyl-CoA reductase within the context of broader metabolic networks and pathogenesis mechanisms. Researchers should consider implementing the following methodological approaches:
Multi-Omics Integration:
Combine transcriptomics, proteomics, and lipidomics data
Apply network analysis to identify functional modules connected to 3-ketoacyl-CoA reductase
Develop predictive models of metabolic flux through the fatty acid elongation pathway
Experimental design should include multiple growth conditions, host interaction models, and antifungal exposures
Genome-Scale Metabolic Modeling:
Incorporate 3-ketoacyl-CoA reductase into existing N. fumigata metabolic models
Perform flux balance analysis to predict metabolic consequences of enzyme perturbation
Identify synthetic lethal interactions that could be exploited for combination therapies
Validate model predictions through targeted metabolomics experiments
Host-Pathogen Interaction Networks:
Map changes in fungal metabolism during different stages of infection
Identify how 3-ketoacyl-CoA reductase activity changes in response to host factors
Develop dual RNA-seq approaches to simultaneously track host and pathogen responses
Connect enzyme activity to specific virulence phenotypes observed in infection models
Temporal and Spatial Dynamics:
Implement time-course experiments to track metabolic changes during growth and infection
Use fluorescent reporters to monitor enzyme localization and activity in living cells
Apply microfluidics and single-cell approaches to capture heterogeneity in enzyme expression
Correlate enzyme dynamics with changes in cell morphology and virulence factor production
Comparative Systems Analysis:
Compare metabolic networks across multiple Aspergillus and Neosartorya species
Identify conserved and divergent roles of 3-ketoacyl-CoA reductase
Correlate network differences with variations in pathogenicity
Apply evolutionary systems biology to understand how the enzyme's role has evolved
This systems approach would help contextualize the finding that N. fumigata produces various virulence factors, including ergot alkaloids and other specialized metabolites that contribute to pathogenesis . Understanding how 3-ketoacyl-CoA reductase fits within these broader metabolic networks would provide insights into potential intervention points and the fundamental biology of this important pathogen.