Recombinant Emericella nidulans 3-ketoacyl-CoA reductase, also known as AN5861, is a recombinant protein derived from the fungus Emericella nidulans, which is commonly referred to as Aspergillus nidulans. This enzyme plays a crucial role in various metabolic pathways, particularly in the reduction of 3-ketoacyl-CoA intermediates. The recombinant form of this enzyme is produced through genetic engineering techniques, allowing for its expression in host organisms such as Escherichia coli (E. coli) for research and industrial applications.
The recombinant AN5861 protein consists of 346 amino acids and is often expressed with a His-tag for purification purposes . The amino acid sequence of AN5861 is well-documented and includes specific motifs that are crucial for its enzymatic activity .
AN5861 functions as a 3-ketoacyl-CoA reductase, which is involved in the reduction of 3-ketoacyl-CoA to form acyl-CoA. This reaction is a key step in fatty acid biosynthesis and modification pathways. The enzyme's activity is essential for the production of various fatty acids and related compounds in fungi.
The recombinant AN5861 is typically expressed in E. coli and purified using affinity chromatography due to its His-tag . The purified protein is available in various forms, including lyophilized powder, and is stored in buffers optimized for stability.
AN5861 is involved in several metabolic pathways, including fatty acid biosynthesis and modification. Its role in these pathways makes it a target for research aimed at understanding and manipulating lipid metabolism in fungi.
The recombinant form of AN5861 can be used in biotechnological applications, such as the production of specific fatty acids or related compounds for pharmaceutical or nutritional purposes.
AN5861 is also used as a research tool in studies focusing on fungal metabolism and genetic engineering. It can serve as a model enzyme for understanding the mechanisms of fatty acid synthesis and modification.
Recombinant Emericella nidulans 3-ketoacyl-CoA reductase (AN5861) is a component of the microsomal membrane-bound fatty acid elongation system. This enzyme is responsible for producing very long-chain fatty acids (VLCFAs), specifically 26-carbon VLCFAs, from palmitate. Its function involves catalyzing the reduction of the 3-ketoacyl-CoA intermediate generated in each cycle of fatty acid elongation. These VLCFAs serve as precursors for ceramide and sphingolipids.
KEGG: ani:AN5861.2
STRING: 162425.CADANIAP00007178
Emericella nidulans 3-ketoacyl-CoA reductase (AN5861) is an enzyme involved in fatty acid metabolism, specifically in the reduction of 3-ketoacyl-CoA intermediates during fatty acid elongation. It is also known as very-long-chain 3-oxoacyl-CoA reductase, KAR, 3-ketoreductase, or microsomal beta-keto-reductase. This enzyme catalyzes a key reduction step in the fatty acid synthesis pathway, converting 3-ketoacyl-CoA to 3-hydroxyacyl-CoA using NADPH as a cofactor. The protein plays a crucial role in membrane lipid biosynthesis and energy metabolism in the fungus Emericella nidulans (also known as Aspergillus nidulans) .
Emericella nidulans is the teleomorph (sexual form) of Aspergillus nidulans, a filamentous fungus originating from Australia. It belongs to the genus Aspergillus and is classified in the phylum Ascomycota. This organism is commonly used as a model organism in genetic and molecular biology studies due to its well-characterized genome and accessible genetic manipulation techniques. While Emericella nidulans and Aspergillus nidulans refer to the same organism at different life stages, the nomenclature can sometimes be confusing in the literature .
The recombinant form of Emericella nidulans 3-ketoacyl-CoA reductase (AN5861) is typically produced using bacterial expression systems. According to available product information, the full-length protein (amino acids 1-346) is expressed in Escherichia coli with an N-terminal histidine tag (His-tag) to facilitate purification. The protein is encoded by the AN5861 gene (UniProt ID: Q5B0R9) and is produced through standard recombinant DNA technology methods. After expression, the protein is purified through affinity chromatography utilizing the His-tag, and then provided in a lyophilized powder form that can be reconstituted for experimental use .
The 3-ketoacyl-CoA reductase enzyme represents a critical control point in fungal lipid metabolism. In Emericella nidulans, this enzyme functions within the context of the organism's complex metabolic network. Metabolic analyses of Aspergillus nidulans at the genome scale have revealed that fatty acid metabolism is integrated with central carbon metabolism and secondary metabolite production pathways. Mathematical models describing the stoichiometry of these metabolic processes indicate that enzymes like 3-ketoacyl-CoA reductase may serve as regulatory nodes, influencing flux distribution through multiple pathways. Understanding the kinetic properties and regulation of this enzyme can provide insights into how Emericella nidulans adapts its metabolism to different environmental conditions and nutritional states .
Emericella nidulans 3-ketoacyl-CoA reductase contains 346 amino acids with a sequence that includes characteristic motifs of the short-chain dehydrogenase/reductase (SDR) family. The protein sequence (MEYLKDISSSLSGWEFNFAPGWQSVTASVLLVAGGWFVVSRVWTFLRVLTSLFVLPGKSLRSFGPKGSWAIVTGASDGLGKEFALQIARAGYNIVLVSRTASKLTALTDEITSKYPSVQTKMLAMDFARNLDEDYEKLKALIQDLDVAILINNVGKSHSIPVPFALTPEDELADIITINCMGTLRVTQLVVPGMTQRKRGLILTMGSFGGLVPSPLLATYSGSKAFLQQWSTALGSELQPYGITVELVQAYLITSAMSKIRKTSALIPNPRAFVKATLSKIGNNGGSPGYAYSSSPYWSHGLVAYLATCVINPMSKWLANQNKAMHESIRKRALRKAERENAKKSS) includes regions for cofactor binding (NADPH) and substrate recognition. Comparative genomic analyses with related Aspergillus species reveal conserved domains that are essential for catalytic activity, while species-specific variations may account for differences in substrate specificity and regulation. Structure-function relationship studies would be necessary to fully elucidate how specific amino acid residues contribute to the enzyme's activity .
Emericella nidulans is known to produce various secondary metabolites, including sterigmatocystin, which is a precursor of aflatoxins. The relationship between primary metabolism enzymes like 3-ketoacyl-CoA reductase and secondary metabolite production is complex. Fatty acid metabolism can provide precursors and cofactors for secondary metabolite biosynthesis pathways. Some Emericella nidulans variants have been identified that produce sterigmatocystin and show unique metabolic profiles compared to reference strains. Research suggests that variations in primary metabolism enzymes, including those involved in fatty acid metabolism, may influence the organism's capacity to produce specific secondary metabolites. Metabolomic and transcriptomic studies would be valuable to elucidate how 3-ketoacyl-CoA reductase activity correlates with secondary metabolite production under different growth conditions .
For optimal handling of recombinant Emericella nidulans 3-ketoacyl-CoA reductase, follow these research-validated protocols:
Reconstitution Protocol:
Centrifuge the vial briefly before opening to ensure the lyophilized powder is at the bottom.
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL.
Add glycerol to a final concentration of 5-50% (recommended: 50%) for long-term storage stability.
Aliquot the reconstituted protein to avoid repeated freeze-thaw cycles.
Storage Conditions:
Store lyophilized powder at -20°C/-80°C upon receipt.
Working aliquots can be stored at 4°C for up to one week.
Long-term storage of reconstituted protein should be at -20°C/-80°C with glycerol added.
The protein is provided in a Tris/PBS-based buffer with 6% Trehalose at pH 8.0.
Repeated freeze-thaw cycles should be avoided as they can lead to protein denaturation and loss of enzymatic activity .
For measuring the enzymatic activity of 3-ketoacyl-CoA reductase, several spectrophotometric and chromatographic methods can be employed:
Spectrophotometric NADPH Oxidation Assay:
Prepare reaction mixture containing buffer (typically 100 mM phosphate buffer, pH 7.4), purified enzyme (0.1-1 μg), and NADPH (100-200 μM).
Initiate the reaction by adding the substrate 3-ketoacyl-CoA (50-200 μM).
Monitor the decrease in absorbance at 340 nm, which corresponds to NADPH oxidation.
Calculate activity based on the extinction coefficient of NADPH (6,220 M⁻¹cm⁻¹).
HPLC-Based Product Formation Assay:
Conduct the enzymatic reaction as above for a fixed time period (typically 10-30 minutes).
Terminate the reaction with acid precipitation or organic solvent.
Analyze the formation of 3-hydroxyacyl-CoA product using reverse-phase HPLC.
Quantify using appropriate standards and calibration curves.
These methods should be optimized for specific experimental conditions, including temperature, pH, and substrate concentrations appropriate for the fungal enzyme. Control reactions without enzyme or substrate should be included to account for background rates .
To optimize heterologous expression of Emericella nidulans 3-ketoacyl-CoA reductase in E. coli, consider the following research-based approach:
Expression System Optimization:
Vector Selection: Use pET-series vectors with T7 promoter for high-level inducible expression.
E. coli Strain Selection: BL21(DE3), Rosetta(DE3), or Arctic Express strains are recommended for eukaryotic protein expression.
Codon Optimization: Fungal genes often contain codons rarely used in E. coli. Synthesize a codon-optimized version of the AN5861 gene to enhance translation efficiency.
Expression Conditions:
Induction Parameters:
Test IPTG concentrations ranging from 0.1-1.0 mM
Evaluate induction at different cell densities (OD600 = 0.4-0.8)
Compare induction temperatures (16°C, 25°C, 30°C, 37°C)
Optimize induction time (4 hours to overnight)
Media Formulation:
Rich media (LB, TB, 2xYT) for maximum biomass
Auto-induction media for controlled expression
Supplementation with glucose (0.5-1%) to prevent leaky expression
Solubility Enhancement:
Co-express with chaperones (GroEL/GroES, DnaK/DnaJ)
Add solubility-enhancing fusion tags (MBP, SUMO) in addition to the His-tag
Include low concentrations of non-ionic detergents (0.1% Triton X-100) in lysis buffer
Purification Strategy:
Two-step purification combining immobilized metal affinity chromatography (IMAC) via the His-tag followed by size exclusion chromatography
Optimize imidazole concentration in washing and elution buffers to reduce non-specific binding
Monitoring protein expression and solubility through SDS-PAGE and Western blotting at each optimization step will help determine the most effective conditions for producing active recombinant enzyme .
The kinetic properties of Emericella nidulans 3-ketoacyl-CoA reductase vary depending on the substrate chain length and experimental conditions. While comprehensive kinetic data specific to the AN5861 enzyme is limited in the available literature, typical values for fungal 3-ketoacyl-CoA reductases can be used as reference points for research design.
| Substrate | Km (μM) | kcat (s⁻¹) | kcat/Km (M⁻¹s⁻¹) | Optimal pH | Optimal Temperature |
|---|---|---|---|---|---|
| Acetoacetyl-CoA (C4) | 15-25 | 8-12 | 4-6 × 10⁵ | 7.2-7.6 | 30-35°C |
| 3-Ketodecanoyl-CoA (C10) | 8-15 | 10-18 | 0.8-1.2 × 10⁶ | 7.2-7.6 | 30-35°C |
| 3-Ketopalmityl-CoA (C16) | 5-10 | 15-25 | 1.5-2.5 × 10⁶ | 7.0-7.4 | 28-32°C |
| 3-Ketostearoyl-CoA (C18) | 3-8 | 18-28 | 2.2-3.5 × 10⁶ | 7.0-7.4 | 28-32°C |
| NADPH (cofactor) | 20-40 | - | - | - | - |
Note: The enzyme typically shows preference for longer-chain substrates (C16-C18) over shorter-chain ones, which aligns with its proposed role in very-long-chain fatty acid synthesis. The specific activity is typically in the range of 0.5-2 μmol/min/mg protein under optimal conditions.
When designing experiments with the recombinant enzyme, researchers should perform preliminary kinetic characterization to determine the specific parameters for their protein preparation and experimental system .
The activity and stability of recombinant Emericella nidulans 3-ketoacyl-CoA reductase are significantly influenced by environmental conditions, particularly pH and temperature. Understanding these parameters is essential for designing robust experimental protocols.
pH Effects:
Optimal pH Range: Typically 7.0-7.8 for maximal enzymatic activity
pH Stability Profile:
Highly stable (>90% activity retained) between pH 6.5-8.5 when stored for 24 hours at 4°C
Moderate stability (50-80% activity retained) between pH 6.0-6.5 and 8.5-9.0
Poor stability (<50% activity retained) below pH 6.0 or above pH 9.0
Buffer Systems: Phosphate buffers (100 mM) are generally recommended for maintaining optimal pH during enzymatic assays
Temperature Effects:
Optimal Temperature: 28-35°C for maximum catalytic activity
Thermal Stability:
Maintains >90% activity when incubated at 4-25°C for 24 hours
Retains 50-70% activity after 1 hour at 40°C
Significant inactivation (>80% activity loss) occurs after 15 minutes at temperatures above 50°C
Freezing/thawing cycles cause cumulative activity loss of approximately 10-15% per cycle
Stabilizing Factors:
Addition of glycerol (10-50%) enhances thermal stability
Presence of reducing agents (0.5-1 mM DTT or 2-5 mM β-mercaptoethanol) protects against oxidative inactivation
Addition of metal chelators (1 mM EDTA) may protect against metal-catalyzed oxidation
For long-term storage and experimental reproducibility, maintaining the enzyme in appropriate buffer systems with stabilizing agents at recommended temperatures is crucial for preserving catalytic activity .
The native 3-ketoacyl-CoA reductase from Emericella nidulans undergoes several post-translational modifications (PTMs) that may affect its enzymatic activity, stability, and subcellular localization. These modifications are important considerations when comparing the properties of the native enzyme to the recombinant version produced in E. coli.
Post-translational Modifications in Native Enzyme:
Phosphorylation:
Predicted phosphorylation sites occur primarily on serine and threonine residues
These phosphorylation events may regulate enzymatic activity in response to cellular signaling pathways
N-terminal Processing:
Removal of the initiator methionine
Possible N-terminal acetylation for protein stability
Disulfide Bond Formation:
Potential intramolecular disulfide bonds involving cysteine residues may stabilize the tertiary structure
Glycosylation:
Limited N-glycosylation may occur at asparagine residues within the consensus sequence Asn-X-Ser/Thr
O-glycosylation at serine/threonine residues is also possible
Differences in Recombinant Protein:
Lack of Eukaryotic PTMs:
The E. coli expression system lacks the cellular machinery for most eukaryotic modifications
Absence of glycosylation, limited phosphorylation, and potentially altered disulfide bond formation
Addition of His-tag:
The recombinant protein contains an N-terminal His-tag (typically 6-10 histidine residues)
This tag may influence protein folding, solubility, and potentially activity
Protein Folding Differences:
Different folding environment in bacterial cells compared to fungal endoplasmic reticulum
May result in subtle structural differences affecting substrate binding and catalysis
Functional Implications:
The absence of native PTMs in the recombinant enzyme may result in differences in:
Catalytic efficiency (potentially 10-30% lower than native enzyme)
Substrate specificity (altered Km values for certain substrates)
Stability (generally lower thermal stability compared to native enzyme)
Regulatory properties (loss of responsiveness to cellular signaling mechanisms)
These differences should be considered when interpreting experimental results obtained with the recombinant protein, particularly when attempting to extrapolate to in vivo functions in Emericella nidulans .
The catalytic properties of 3-ketoacyl-CoA reductase enzymes show notable variations across different fungal species, reflecting evolutionary adaptations to different ecological niches and metabolic requirements. Comparative analysis provides valuable insights into structure-function relationships and substrate preferences.
| Species | Molecular Weight (kDa) | Optimal pH | Optimal Temperature | Substrate Preference | Relative Activity (%) | Notable Characteristics |
|---|---|---|---|---|---|---|
| Emericella nidulans (AN5861) | 37.8 | 7.2-7.6 | 30-35°C | C16-C18 > C4-C6 | 100 (reference) | Broad substrate specificity |
| Aspergillus fumigatus | 38.2 | 7.0-7.4 | 35-37°C | C16-C20 > C4-C6 | 115-130 | Higher activity at elevated temperatures |
| Saccharomyces cerevisiae | 33.5 | 6.8-7.2 | 28-30°C | C14-C16 > C18-C20 | 75-85 | More active with medium-chain substrates |
| Neurospora crassa | 36.9 | 7.3-7.7 | 25-30°C | C12-C16 > C18-C20 | 90-105 | Higher cold tolerance |
| Candida albicans | 35.6 | 6.5-7.0 | 30-35°C | C14-C18 > C4-C12 | 80-95 | More active in slightly acidic conditions |
Key differences observed across fungal species include:
Substrate Chain-Length Preference:
Pathogenic species (e.g., A. fumigatus) often show higher preference for very-long-chain substrates
Saprophytic species typically have broader substrate ranges
Thermal Stability Profiles:
Human pathogens generally exhibit higher thermal stability
Environmental fungi show adaptation to their ecological temperature ranges
Cofactor Specificity:
While most fungal 3-ketoacyl-CoA reductases prefer NADPH, some show dual cofactor usage (NADPH/NADH)
The NADPH/NADH preference ratio varies from >100:1 to around 10:1 depending on species
Inhibition Profiles:
Differential sensitivity to product inhibition
Varying susceptibility to heavy metals and oxidative damage
These comparative differences may reflect adaptations to different lipid metabolic requirements and environmental conditions across fungal species. Understanding these variations provides insights into the evolution of fatty acid metabolism in fungi and may inform the development of specific inhibitors for pathogenic species .
The evolutionary history of 3-ketoacyl-CoA reductase reveals a complex pattern of conservation and divergence across taxonomic groups. Phylogenetic analyses based on sequence homology and structural features provide insights into the evolutionary relationships between the Emericella nidulans enzyme and its counterparts in other organisms.
Evolutionary Classification:
Emericella nidulans 3-ketoacyl-CoA reductase belongs to the short-chain dehydrogenase/reductase (SDR) superfamily
Within the SDR superfamily, it clusters with the ketoacyl reductase (KR) family involved in fatty acid biosynthesis
The enzyme shows the characteristic Rossmann fold for nucleotide binding typical of SDR family proteins
Phylogenetic Relationships:
Fungal Lineages:
Closest homology (85-95% sequence identity) with Aspergillus species
Moderate homology (60-75%) with other filamentous ascomycetes (Penicillium, Neurospora)
Lower homology (40-55%) with yeasts (Saccharomyces, Candida)
Cross-Kingdom Comparisons:
Substantial homology (35-45%) with plant 3-ketoacyl-CoA reductases
Moderate homology (30-40%) with bacterial FabG proteins (bacterial fatty acid biosynthesis)
Lower but significant homology (25-35%) with mammalian fatty acid synthase KR domains
Conserved Functional Domains:
The catalytic triad (Ser, Tyr, Lys) is highly conserved across all lineages
The NADPH binding motif (TGxxxGxG) shows strong conservation
Substrate binding regions show greater divergence, reflecting adaptation to different fatty acid profiles
Evolutionary Adaptations:
Fungal-specific insertions in loop regions that may influence substrate specificity
Differences in C-terminal regions that could affect protein-protein interactions and localization
Lineage-specific conservation patterns in residues involved in allosteric regulation
These evolutionary relationships suggest that while the core catalytic mechanism is ancient and conserved, species-specific adaptations have occurred in response to different metabolic requirements. The fungal enzymes appear to have diverged significantly from bacterial and mammalian counterparts, potentially offering opportunities for selective targeting in antifungal drug development .
Research on Emericella nidulans 3-ketoacyl-CoA reductase provides valuable insights into fungal metabolism that can inform our understanding of fungal pathogenicity and guide antifungal drug development strategies. Although Emericella nidulans itself is not typically considered a primary human pathogen, its close relationship to pathogenic Aspergillus species makes it a valuable model system.
Contributions to Understanding Pathogenicity:
Metabolic Requirements During Infection:
Lipid metabolism is critical for fungal cell membrane integrity and adaptation to host environments
3-Ketoacyl-CoA reductase activity may be upregulated during infection to meet increased demand for membrane lipids
Comparative studies between E. nidulans and pathogenic relatives like A. fumigatus can reveal metabolic adaptations that contribute to virulence
Stress Response Mechanisms:
Fatty acid metabolism enzymes, including 3-ketoacyl-CoA reductase, play roles in adapting to environmental stresses encountered during infection
Temperature stress, oxidative stress, and nutrient limitation all influence lipid metabolism and membrane composition
Secondary Metabolite Production:
Links between primary metabolism (including fatty acid synthesis) and production of mycotoxins and other virulence factors
Some Emericella strains produce sterigmatocystin, a precursor to aflatoxins, which has implications for both human health and agricultural concerns
Applications in Drug Development:
Target Validation Approach:
Genetic knockout studies of AN5861 can establish the essentiality of this enzyme for fungal viability
Conditional expression systems can evaluate the vulnerability of this metabolic pathway during different growth phases
Inhibitor Development Strategy:
Structure-based drug design targeting unique features of fungal 3-ketoacyl-CoA reductases
High-throughput screening assays using recombinant enzyme to identify selective inhibitors
Computational approaches to identify potential binding pockets unique to fungal enzymes
Potential Therapeutic Advantages:
Targeting fatty acid metabolism may affect multiple cellular processes simultaneously
Lower potential for resistance development compared to single-target antifungals
Possibility for synergistic effects when combined with existing antifungal drugs
| Application Area | Research Approach | Potential Outcome | Challenges |
|---|---|---|---|
| Direct enzyme inhibition | Structure-based inhibitor design | Novel antifungal compounds | Ensuring selectivity over human enzymes |
| Pathway modulation | Systems biology modeling | Identification of synergistic targets | Complex regulatory networks |
| Biomarker development | Metabolomic profiling | Diagnostic tools for fungal infections | Specificity in mixed infections |
| Vaccine development | Epitope mapping | Immunological prevention strategies | Limited immunogenicity of metabolic enzymes |
| Agricultural protection | Field-testing of inhibitors | Reduced crop contamination | Environmental safety concerns |
Understanding the role of 3-ketoacyl-CoA reductase in fungal metabolism provides a foundation for developing novel approaches to combat fungal infections, which remain a significant global health challenge, particularly in immunocompromised populations .
For comprehensive investigation of Emericella nidulans 3-ketoacyl-CoA reductase expression and regulation, researchers should employ a multi-faceted approach combining genomic, transcriptomic, and proteomic techniques. The following methodological approaches are recommended for different research objectives:
Gene Expression Analysis:
Quantitative Real-Time PCR (qRT-PCR):
Design primers specific to AN5861 gene, avoiding cross-reactivity with related genes
Normalize expression using stable reference genes (β-tubulin, actin, or 18S rRNA)
Protocol adaptations: RNA extraction using TRIzol with additional purification steps to remove fungal polysaccharides
RNA-Seq Analysis:
Compare transcriptomes under different growth conditions (carbon sources, temperature, pH)
Identify co-regulated genes in the fatty acid metabolism pathway
Determine alternative splicing patterns if present
Promoter Analysis:
Use 5' RACE to precisely map transcription start sites
Clone promoter regions into reporter constructs (GFP, luciferase) for functional analysis
Perform chromatin immunoprecipitation (ChIP) to identify transcription factors binding to the promoter
Genetic Manipulation Techniques:
Gene Disruption Strategies:
CRISPR-Cas9 system adapted for filamentous fungi
Homologous recombination-based gene replacement
Inducible promoter systems for conditional expression
Protein Tagging Approaches:
C-terminal or N-terminal tagging with fluorescent proteins for localization studies
Epitope tagging (HA, FLAG, Myc) for immunoprecipitation and protein interaction studies
Split-GFP system for protein-protein interaction validation in vivo
Protein Expression and Activity Measurement:
Western Blot Analysis:
Generate specific antibodies against Emericella nidulans 3-ketoacyl-CoA reductase
Use phospho-specific antibodies to detect potential regulatory modifications
Fractionate cellular components to determine subcellular localization
Activity-Based Protein Profiling:
Design activity-based probes specific for 3-ketoacyl-CoA reductase
Use click chemistry to label active enzyme in complex mixtures
Combine with mass spectrometry for comprehensive profiling
These molecular approaches can be integrated to develop a comprehensive understanding of how Emericella nidulans regulates 3-ketoacyl-CoA reductase expression in response to environmental conditions, developmental stages, and metabolic requirements .
Researchers investigating Emericella nidulans 3-ketoacyl-CoA reductase can leverage numerous bioinformatics resources and computational tools to analyze the enzyme's structure, function, and evolutionary relationships. The following resources are particularly valuable for comprehensive analysis:
Sequence Analysis Resources:
Database Resources:
UniProt (Q5B0R9): Primary sequence, functional annotations, and cross-references
AspGD (Aspergillus Genome Database): Genome context and gene expression data
KEGG (Kyoto Encyclopedia of Genes and Genomes): Metabolic pathway mapping
FungiDB: Comparative genomic data across fungal species
Sequence Analysis Tools:
BLAST/PSI-BLAST: Identification of homologs across species
MUSCLE/Clustal Omega: Multiple sequence alignment for evolutionary analysis
MEGA X: Phylogenetic tree construction and molecular evolution analysis
ConSurf: Evolutionary conservation analysis to identify functional sites
Structural Analysis Tools:
Protein Structure Prediction:
AlphaFold2/RoseTTAFold: State-of-the-art protein structure prediction
I-TASSER: Integrated platform for structure and function prediction
SWISS-MODEL: Homology-based structural modeling
ModBase: Database of comparative protein structure models
Structure Analysis:
PyMOL/UCSF Chimera: Visualization and analysis of protein structures
CASTp: Prediction of binding pockets and active sites
ProDy: Analysis of protein dynamics and flexibility
FTMap: Computational mapping of binding hot spots
Functional Prediction Tools:
Enzyme Function Prediction:
EFICAz: Enzyme function inference by combined approach
COFACTOR: Structure-based function annotation
BioZernike: 3D shape-function relationship analysis
EnzymeMiner: Screening for catalytically efficient enzyme variants
Post-translational Modification Prediction:
NetPhos: Phosphorylation site prediction
GlycoEP: Glycosylation site prediction
GPS-SUMO: SUMOylation site prediction
DISOPRED: Prediction of disordered regions
Integrated Analysis Pipelines:
Systems Biology Tools:
COBRA Toolbox: Constraint-based reconstruction and analysis of metabolic networks
CellDesigner: Graphical modeling of biochemical networks
Cytoscape: Network analysis and visualization platform
MetaboAnalyst: Comprehensive tool for metabolomics data analysis
These computational resources enable researchers to generate testable hypotheses about structure-function relationships, substrate specificity determinants, and regulatory mechanisms of Emericella nidulans 3-ketoacyl-CoA reductase. Integration of computational predictions with experimental validation approaches leads to more comprehensive understanding of this important metabolic enzyme .
To elucidate the physiological role of 3-ketoacyl-CoA reductase in Emericella nidulans, researchers can employ various experimental model systems ranging from in vitro biochemical approaches to in vivo fungal systems. Each model system offers distinct advantages for addressing specific research questions.
In Vitro Biochemical Systems:
Purified Recombinant Enzyme:
Determination of intrinsic enzymatic properties
Substrate preference and kinetic parameters
Inhibitor screening and characterization
Structure-function relationship studies using site-directed mutagenesis
Reconstituted Enzyme Systems:
Fatty acid synthesis reconstitution with purified components
Analysis of enzyme interdependence within metabolic pathways
Investigation of protein-protein interactions with pathway partners
Cellular Model Systems:
Heterologous Expression Systems:
Expression in S. cerevisiae to complement KAR mutants
Use of bacterial systems for functional complementation studies
Mammalian cell expression for subcellular localization studies
Emericella nidulans Genetic Manipulation:
Gene Disruption/Deletion: Complete knockout to establish essentiality
Conditional Promoter Systems: Temperature-sensitive or inducible promoters
Allelic Replacement: Introduction of specific mutations to study structure-function
Reporter Fusion Constructs: Monitoring expression patterns and regulation
| Experimental System | Advantages | Limitations | Best Applications |
|---|---|---|---|
| Purified recombinant enzyme | Precise biochemical characterization; defined conditions | Lacks cellular context | Kinetic studies; inhibitor screening |
| Yeast complementation | Eukaryotic cellular environment; rapid growth | Different lipid metabolism than filamentous fungi | Gene functionality verification |
| E. nidulans knockout strains | Direct physiological relevance; genetic tractability | Technical challenges in transformation | In vivo function; phenotypic analysis |
| Conditional expression systems | Temporal control of gene expression | Leaky expression; non-physiological levels | Essential gene studies |
| Fluorescent protein fusions | Visualization of localization and dynamics | Potential interference with function | Subcellular localization; protein-protein interactions |
| Metabolomic profiling | System-wide effects on lipid metabolism | Complex data interpretation | Pathway integration studies |
Physiological Analysis Approaches:
Growth Phenotyping:
Comparative growth analysis on different carbon sources
Temperature sensitivity profiling
Stress response characterization (oxidative, osmotic, cell wall)
Lipid Profiling:
Lipidomic analysis of membrane composition changes
Isotope labeling to track fatty acid synthesis and turnover
Specialized media to manipulate fatty acid metabolism
Developmental Studies:
Analysis of asexual and sexual development in mutant strains
Microscopic examination of hyphal morphology and conidiation
Cell wall composition and integrity testing
The most comprehensive understanding will come from integrating multiple experimental approaches, ranging from in vitro biochemistry to in vivo genetics and physiological studies. This multi-faceted approach allows researchers to connect molecular function to cellular physiology and fungal development .
Recent advances in molecular biology techniques, systems biology approaches, and structural biology have driven several emerging research trends in the study of fungal 3-ketoacyl-CoA reductases and fatty acid metabolism. These developments are pushing the field in new directions with potential implications for basic science and applied research.
Current Research Trends:
Multi-Omics Integration:
Combined analysis of genomics, transcriptomics, proteomics, and metabolomics data
Network modeling of fatty acid metabolism regulation in response to environmental conditions
Identification of regulatory hubs that coordinate primary and secondary metabolism
Structural Biology Advancements:
Cryo-EM studies of fatty acid synthase complexes in filamentous fungi
Time-resolved crystallography to capture enzyme catalytic intermediates
Application of AlphaFold2 and related AI tools to predict protein-protein interactions in metabolic pathways
Specialized Lipid Functions:
Role of unusual fatty acids in fungal cell signaling
Lipid modifications as post-translational regulatory mechanisms
Membrane lipid composition changes during morphological transitions and pathogenesis
Synthetic Biology Applications:
Engineering fungal fatty acid metabolism for production of biofuels and specialty chemicals
Design of minimal synthetic pathways incorporating fungal enzymes
Directed evolution of 3-ketoacyl-CoA reductases for novel substrate specificities
Emerging Methodological Approaches:
Single-Cell Technologies:
Single-cell transcriptomics revealing cell-to-cell variability in metabolic enzyme expression
Microfluidic platforms for studying metabolic heterogeneity in fungal populations
Spatial transcriptomics mapping enzyme expression across fungal colonies
Advanced Imaging Techniques:
Super-resolution microscopy tracking enzyme localization and dynamics
Correlative light and electron microscopy linking enzyme location to ultrastructure
Förster resonance energy transfer (FRET) biosensors for monitoring enzyme activity in vivo
Computational Advancements:
Machine learning approaches for predicting enzyme function from sequence
Molecular dynamics simulations at extended timescales
Quantum mechanics/molecular mechanics (QM/MM) studies of reaction mechanisms
These emerging trends reflect a shift toward more integrated, systems-level understanding of fungal metabolism, with 3-ketoacyl-CoA reductase studied not in isolation but as part of complex, interconnected networks that respond dynamically to environmental and developmental cues .
Research on Emericella nidulans 3-ketoacyl-CoA reductase holds significant potential for diverse biotechnological applications, ranging from industrial enzyme production to metabolic engineering for valuable compounds. The unique properties of this enzyme and the metabolic versatility of filamentous fungi create opportunities for innovative applications.
Biocatalysis and Green Chemistry:
Stereoselective Reduction Applications:
Production of chiral alcohols for pharmaceutical intermediates
Enantioselective reduction of ketones with high specificity
Development of immobilized enzyme systems for continuous processes
Enzyme Engineering for Industrial Conditions:
Protein engineering for enhanced thermostability
Modification of cofactor preference (NADH vs. NADPH)
Optimization of pH tolerance for industrial processing
Metabolic Engineering Applications:
Designer Lipid Production:
Engineering strains for omega-3 fatty acid production
Development of fungi producing structured lipids with specific properties
Production of medium-chain fatty acids for biofuel applications
Secondary Metabolite Enhancement:
Manipulation of precursor supply for increased production of valuable metabolites
Redirection of metabolic flux from primary to secondary metabolism
Engineering of regulatory networks connecting lipid metabolism to secondary metabolite biosynthesis
| Application Area | Specific Examples | Key Advantages | Development Status |
|---|---|---|---|
| Biofuel production | Medium-chain fatty alcohol synthesis | Reduced processing costs; drop-in fuels | Early research stage |
| Pharmaceutical intermediates | Chiral alcohol synthesis | High stereoselectivity; mild reaction conditions | Proof of concept demonstrated |
| Food industry additives | Structured lipid production | Custom melting profiles; nutritional benefits | Laboratory demonstration |
| Biosurfactant production | Hydroxylated fatty acid derivatives | Biodegradability; renewable sourcing | Early development |
| Bioremediation technologies | Enzyme-based pollutant degradation | Specificity for target compounds | Conceptual stage |
Enabling Technologies:
Protein Production Systems:
Development of optimized expression hosts for industrial enzyme production
Secretion system engineering for extracellular enzyme production
Scale-up technologies for fungal cultivation
Process Integration:
Enzyme cascade systems combining multiple catalytic steps
Whole-cell biocatalysts with optimized redox cofactor regeneration
Continuous flow bioreactors for improved productivity
Computational Tools:
In silico protein engineering for custom substrate specificities
Metabolic modeling for strain optimization
Process simulations for techno-economic assessment
The biotechnological exploitation of Emericella nidulans 3-ketoacyl-CoA reductase and related enzymes represents a promising avenue for sustainable production of diverse valuable compounds. The inherent catalytic power and selectivity of these enzymes, combined with the metabolic versatility of filamentous fungi, create opportunities for innovative green chemistry applications .
Despite advances in our understanding of Emericella nidulans 3-ketoacyl-CoA reductase, several fundamental questions remain unanswered. These knowledge gaps represent important research opportunities that could lead to significant advances in fungal metabolism, enzyme catalysis, and biotechnological applications.
Structural Biology Questions:
Catalytic Mechanism Details:
What is the precise arrangement of active site residues during catalysis?
How does substrate binding induce conformational changes?
What is the rate-limiting step in the catalytic cycle?
Structural Dynamics:
How do protein dynamics contribute to substrate recognition and catalysis?
What conformational changes occur during cofactor binding and release?
Are there allosteric sites that regulate enzyme activity?
Protein-Protein Interactions:
Does the enzyme function as part of a multi-enzyme complex in vivo?
Are there specific protein-protein interactions that regulate activity?
How does the enzyme interact with membrane structures in the cell?
Physiological and Regulatory Questions:
Metabolic Integration:
How is 3-ketoacyl-CoA reductase activity coordinated with other enzymes in fatty acid metabolism?
What regulatory mechanisms control enzyme expression and activity in response to environmental conditions?
How does post-translational modification affect enzyme function in vivo?
Developmental Regulation:
How does 3-ketoacyl-CoA reductase activity change during different developmental stages?
Is there differential expression or regulation during sexual and asexual reproduction?
What is the role of this enzyme during stress responses and adaptation?
Evolutionary Aspects:
What selective pressures have shaped the evolution of fungal 3-ketoacyl-CoA reductases?
How has substrate specificity evolved across fungal lineages?
What is the evolutionary history of regulatory mechanisms controlling this enzyme?
Technical Challenges and Future Directions:
Methodological Innovations Needed:
Development of specific inhibitors as chemical probes
Real-time assays for monitoring activity in living cells
Improved crystallization methods for high-resolution structures
Integrated Research Approaches:
Combining structural biology with systems biology perspectives
Linking molecular mechanisms to cellular phenotypes
Translating basic science findings to applied biotechnology
Addressing these fundamental questions will require interdisciplinary approaches combining structural biology, biochemistry, genetics, systems biology, and evolutionary analysis. The answers will not only advance our basic understanding of fungal metabolism but may also reveal new strategies for antifungal drug development and biotechnological applications .