Neurospora crassa enolase (NCU10042) functions as a metalloenzyme in the glycolytic pathway, catalyzing the conversion of 2-phosphoglycerate (2-PGA) to phosphoenolpyruvate (PEP). The standard enzymatic activity can be directly monitored by measuring the increase in PEP absorbance at 240 nm using spectrophotometry. One unit of enolase activity is defined as the amount of protein which catalyzes the formation of 1μmole PEP from 2-PGA in 1 minute under standard conditions (50 mM Tris pH 8.0, 0.1 M KCl, 0.5 mM 2-phosphoglycerate, and 1 mM MgSO4 at 25°C) . The reaction requires magnesium as a cofactor, which is crucial for stabilizing dimer contacts in the enzyme. Like other enolases, the N. crassa variant may also play additional roles beyond glycolysis, potentially functioning in cell wall formation and other cellular processes .
Expression Protocol:
Clone the N. crassa enolase gene (NCU10042) into an appropriate expression vector (e.g., pET-28a(+)) with an N-terminal His6 tag
Transform into a suitable E. coli strain (e.g., BL21(DE3))
Grow transformed cells in LB media with appropriate antibiotic at 37°C until reaching mid-log phase
Induce protein expression with IPTG (typically 0.5-1.0 mM)
Continue incubation at reduced temperature (16-25°C) for 12-16 hours
Purification Protocol:
Harvest cells by centrifugation and resuspend in lysis buffer (50 mM Tris pH 8.0, 0.4 M NaCl, 5 mM β-mercaptoethanol, 200 μg/mL lysozyme, and protease inhibitors)
Disrupt cells by sonication and clear lysate by centrifugation
Apply filtered supernatant to a nickel affinity column equilibrated with buffer A (50 mM Tris pH 8.0, 0.4 M NaCl, 5 mM imidazole, 5 mM MgCl2)
Wash column and elute with an imidazole gradient
If desired, cleave the His-tag using an appropriate protease
Perform size exclusion chromatography for final purification
Standard Assay Conditions:
| Parameter | Recommended Value |
|---|---|
| Buffer | 50 mM Tris pH 8.0 |
| Salt | 0.1 M KCl |
| Substrate | 0.5-1.0 mM 2-phosphoglycerate |
| Cofactor | 1 mM MgSO4 |
| Temperature | 25°C |
| Reaction volume | 500 μL |
| Detection | Spectrophotometric at 240 nm |
| Enzyme concentration | 40 nM (for inhibition studies) |
The activity of recombinant tagged and untagged enolase can be determined by direct monitoring of the increase in PEP absorbance at 240 nm. For calculating PEP concentration, use a molar extinction coefficient (Ɛ240 nm) of 1,300 M-1 cm-1 .
While the specific crystal structure of N. crassa enolase is not detailed in the provided search results, comparative analysis with other fungal and bacterial enolases suggests several conserved structural features:
Expected Structural Features:
Metal-binding sites (primarily for Mg2+)
Substrate-binding pocket specific for 2-phosphoglycerate
Dimer formation interface
Catalytic residues conserved across species
For definitive structural analysis, crystallization could be performed using methods similar to those described for bacterial enolase:
Concentrate protein to 10-12 mg/mL in buffer containing 20 mM HEPES pH 7.0, 50 mM NaCl, and 2 mM MgCl2
Set up crystallization trials using hanging drop vapor diffusion
Optimize conditions (a starting point could be 2.0 M ammonium sulfate, 0.1 M MES at pH 6.0, and 0.1M Na/K tartrate at 20°C)
Both co-crystallization and soaking methods can be used to obtain substrate-bound structures
Thermal stability analysis using differential scanning calorimetry (DSC) could provide additional structural insights, with protocols involving heating purified protein from 0°C to 120°C at 1°C/min .
Gene Knockout/Modification Approaches:
CRISPR-Cas9 System: While implementing CRISPR in N. crassa has been challenging due to its recalcitrance to expressing heterologous sequences, recent advances may overcome these limitations. The identification of heterologous expression positive (hep) mutants may facilitate CRISPR applications .
Homologous Recombination: Traditional gene replacement using homologous recombination remains effective:
Sib Selection Procedure: For complementation of mutants:
Endogenous Promoter Swap: For controlling expression levels while maintaining native regulation patterns.
N. crassa enolase likely plays significant roles in cell wall integrity and remodeling based on functional studies in related systems. The Cell Wall Integrity (CWI) pathway in N. crassa involves:
MAPK Cascade Components:
Transcription Factors:
Cell Wall Remodeling Enzymes:
Research on the GUL-1 protein, which binds multiple RNAs involved in cell wall remodeling, identified several cell wall-related transcripts that likely intersect with enolase function:
Enolase may contribute to cell wall integrity through direct enzymatic activity or by affecting the expression or localization of these components. Additionally, enolase could influence CWI pathway activation, similar to how SSD1 mutations in S. cerevisiae result in constitutive CWI pathway activation .
Inhibitor Screening Protocol:
Sample Preparation:
Maintain constant enolase concentration (40 nM recommended)
Prepare inhibitors in 50 mM Tris pH 8.0 with 5% DMSO
Preincubate protein with inhibitor for 5 minutes in assay buffer (50 mM Tris pH 8.0, 0.1 M KCl, 1 mM MgSO4)
Initiate reaction with 2-PGA (1.0 mM final concentration)
Measurement Parameters:
Thermal Shift Assays:
Known enolase inhibitors that could be tested include ENOblock, which has shown efficacy in inhibiting enolase activity in other systems and has demonstrated neuroprotective effects .
Recombinant N. crassa enolase serves as an excellent model for investigating fundamental aspects of fungal biology:
Comparative Glycolytic Metabolism:
Analyze differences in kinetic parameters between fungal enolases to understand metabolic adaptations
Investigate the role of enolase in carbon source utilization and metabolic flexibility
Morphogenesis and Development:
N. crassa has complex developmental programs including hyphal elongation, branching, and conidiation. Enolase may play roles in these processes through:
Stress Response Mechanisms:
Protein Targeting and Modification:
Fungal-Specific Drug Target Identification:
The potential role of enolase in N. crassa endocytosis and membrane trafficking represents an interesting area for investigation. While direct evidence is limited in the provided search results, several connections can be made:
Endocytic Machinery in N. crassa:
N. crassa possesses a complex endocytic system involving:
Potential Interactions with Trafficking Machinery:
Enolase may interact with:
Components of early endosomes
Vesicle transport machinery
Membrane-associated proteins
Experimental Approaches:
Membrane Association:
In other systems, enolase has been found on cell surfaces and in association with membrane structures. Specific experimental protocols could include:
N. crassa is a model organism for studying circadian rhythms, and metabolic enzymes like enolase may play significant roles in this system:
Circadian Clock Components in N. crassa:
The core components include:
Metabolic Connections to Circadian Rhythms:
Research Approaches:
Examine enolase expression patterns over circadian time
Analyze the effects of altered enolase activity on clock component function
Investigate potential protein-protein interactions between enolase and clock components
Study the impacts of carbon source availability on these interactions
Nutrient Compensation Mechanisms:
Molecular mechanisms of nutrient compensation have been intensively studied in N. crassa , and enolase may contribute to maintaining clock function during nutrient fluctuations through its role in carbon metabolism.
While the search results don't provide specific crystallization conditions for N. crassa enolase, the following protocol can be adapted from successful crystallization of bacterial enolase:
Recommended Crystallization Protocol:
Protein Preparation:
Purify recombinant enolase to >95% homogeneity
Buffer exchange into 20 mM HEPES pH 7.0, 50 mM NaCl, and 2 mM MgCl2
Concentrate to 10-12 mg/mL
Initial Screening:
Set up crystallization trials using commercial sparse matrix screens
Utilize hanging drop vapor diffusion method with 1:1 ratio of protein to reservoir solution
Incubate at 20°C
Optimization Based on Bacterial Enolase Conditions:
| Parameter | Starting Condition |
|---|---|
| Protein concentration | 12 mg/mL |
| Buffer | 20 mM HEPES pH 7.0 |
| Salt | 50 mM NaCl |
| Precipitant | 2.0 M ammonium sulfate |
| Additives | 0.1 M MES pH 6.0, 0.1 M Na/K tartrate |
| Temperature | 20°C |
| Method | Hanging drop |
Substrate/Ligand Co-crystallization:
Data Collection Considerations:
Cryoprotect crystals using mother liquor supplemented with 20-25% glycerol or ethylene glycol
Flash-freeze in liquid nitrogen
Collect diffraction data at 100K using synchrotron radiation
Comprehensive Activity and Folding Assessment:
Enzymatic Activity Assay:
Thermal Stability Analysis:
Structural Characterization:
Circular dichroism (CD) to assess secondary structure content
Size exclusion chromatography to verify oligomeric state (expected dimer)
Dynamic light scattering to check for aggregation
Metal Binding Analysis:
Inductively coupled plasma mass spectrometry (ICP-MS) to quantify bound metals
Activity assays with and without EDTA to assess metal dependence
Reconstitution experiments with various divalent metals
Functional Response to Known Inhibitors:
Comprehensive Site-Directed Mutagenesis Strategy:
Target Selection Rationale:
Catalytic residues based on structural homology with other enolases
Metal-binding sites critical for activity
Substrate recognition residues
Dimer interface residues
Surface residues potentially involved in protein-protein interactions
Conserved residues identified through multiple sequence alignments
Mutation Design Principles:
Conservative substitutions to probe specific interactions
Charge reversal mutations to disrupt electrostatic interactions
Alanine scanning to identify essential side chains
Introduction of bulky residues to create steric hindrance
Cysteine mutations for subsequent chemical modification
Experimental Validation Workflow:
Expression and purification of mutant proteins
Activity assays comparing wild-type and mutant enzymes
Thermal stability analysis via DSC
Structural characterization (CD, size exclusion chromatography)
Binding studies with substrates, cofactors, and inhibitors
Advanced Characterization:
Pre-steady state kinetics to identify rate-limiting steps
pH-rate profiles to probe ionization states
Solvent isotope effects to investigate proton transfer events
Temperature dependence studies to calculate activation parameters
In vivo Complementation:
Test ability of mutants to rescue phenotypes in enolase-deficient strains
Analyze effects on growth, development, and stress responses
Comprehensive Strategy to Identify Moonlighting Functions:
Subcellular Localization Analysis:
Create GFP or other fluorescent protein fusions
Perform immunofluorescence with anti-enolase antibodies
Conduct subcellular fractionation followed by western blotting
Look for non-cytosolic localization (membrane, nucleus, cell wall)
Protein-Protein Interaction Studies:
Co-immunoprecipitation with candidate interacting proteins
Yeast two-hybrid screening
Proximity labeling approaches (BioID or APEX)
Mass spectrometry analysis of protein complexes
Investigate potential interactions with cell wall remodeling enzymes, signaling complexes, or cellular transport machinery
Surface Exposure Analysis:
Cell surface biotinylation followed by pulldown and western blotting
Flow cytometry with anti-enolase antibodies on intact cells
Immunoelectron microscopy
Protease shaving of intact cells followed by mass spectrometry
Functional Studies:
Phenotypic Analysis Under Various Conditions:
Stress responses (oxidative, heat, cell wall stress)
Developmental transitions
Nutrient limitation
Circadian time points
While the search results don't provide comprehensive comparative information specifically about N. crassa enolase versus other fungal enolases, several important considerations can be inferred:
Genomic Context and Regulation:
N. crassa has complex genome defense mechanisms including repeat-induced point mutation (RIP), quelling, and meiotic silencing that may affect heterologous expression
Position of the enolase gene (NCU10042) in the genome context may influence its regulation
Potential involvement in circadian regulation may differ from yeasts like S. cerevisiae
Structural Considerations:
N. crassa is a filamentous fungus with different cellular organization compared to yeasts
Potential unique structural features adapted to filamentous growth
Possible differences in metal binding preferences or cofactor requirements
Functional Adaptations:
Experimental Design Implications:
| Parameter | Consideration |
|---|---|
| Expression systems | Consider N. crassa expression systems for proper folding and modification |
| Buffer conditions | May require optimization specific to N. crassa enolase |
| Temperature stability | Assess thermal profiles relevant to N. crassa growth conditions |
| Protein-protein interactions | Investigate interactions with filamentous fungi-specific partners |
| Cellular assays | Use N. crassa rather than yeast-based assays when possible |
Conservation Analysis:
Perform detailed sequence and structural alignments with enolases from:
Other filamentous fungi (e.g., Aspergillus)
Yeasts (S. cerevisiae, S. pombe)
Bacteria and mammals for broader comparison
Recombinant N. crassa enolase provides an excellent model system for investigating metabolic regulation in filamentous fungi:
Carbon Metabolism Networks:
Stress Response Integration:
Developmental Stage-Specific Regulation:
Compare enolase activity during vegetative growth versus reproductive stages
Analyze potential post-translational modifications across developmental transitions
Investigate changes in protein-protein interactions during different life cycle stages
Circadian and Light-Responsive Metabolism:
Comparative Approaches:
Develop systems for parallel analysis of enolase from multiple fungal species
Identify conserved versus specialized regulatory mechanisms
Create chimeric enzymes to pinpoint regions responsible for filamentous fungi-specific properties
Enolase likely plays significant roles in the adaptation of N. crassa to nutrient limitation, though specific mechanisms must be investigated:
Glucose Starvation Response:
N. crassa shows robust molecular timekeeping even under severe carbon limitation, suggesting adaptive metabolic regulation
Enolase activity may be modulated to maintain essential energy production while conserving resources
Investigation should examine enolase expression, post-translational modifications, and activity under glucose limitation
Metabolic Reprogramming Mechanisms:
During nutrient stress, N. crassa may redirect carbon flux through alternative pathways
Enolase might participate in regulatory feedback loops sensing energy status
Potential moonlighting functions of enolase could become more prominent under stress conditions
Gene Expression Changes:
Research shows that treatment of N. crassa with phytosphingosine (PHS) induces changes in expression patterns of metabolic genes :
Increased expression of genes involved in glyoxylate cycle and lipid metabolism
Downregulation of mitochondrial protein genes
Similar patterns might occur during nutrient limitation
Experimental Approaches:
Transcriptomic analysis comparing enolase expression across nutrient conditions
Metabolomic profiling to track carbon flux through glycolysis
Phenotypic analysis of strains with altered enolase expression under nutrient limitation
Protein-protein interaction studies under nutrient-rich versus limited conditions
Connection to Development:
Nutrient limitation often triggers developmental transitions in fungi
Enolase activity changes may signal or respond to these transitions
Investigation should examine enolase during transitions to conidiation or sexual development triggered by nutrient stress
Although N. crassa is not a pathogen, studies of its enolase can provide valuable insights into fungal pathogenicity mechanisms:
Surface Display and Host Interaction:
In pathogens, enolase is often displayed on the cell surface and binds host plasminogen
Comparative analysis of N. crassa enolase with pathogenic fungal enolases can identify structural features important for host interactions
Investigation of potential surface localization mechanisms in N. crassa may reveal conserved trafficking pathways
Cell Wall Integrity and Remodeling:
Cell wall structure and integrity are critical virulence determinants
N. crassa studies show connections between metabolic enzymes and cell wall remodeling
The Cell Wall Integrity (CWI) pathway components in N. crassa have homologs in pathogenic fungi
Understanding how enolase intersects with these pathways provides insights into invasive growth mechanisms
Metabolic Adaptation During Infection:
Pathogens must adapt to variable nutrient conditions during infection
N. crassa's adaptations to nutrient limitation can serve as models for similar processes in pathogens
Comparative studies of regulatory mechanisms may identify conserved strategies
Protein Moonlighting in Virulence:
Non-glycolytic functions of enolase often contribute to pathogenicity
Identifying moonlighting functions in N. crassa enolase can guide searches for similar functions in pathogens
Structural features enabling moonlighting may be conserved across species
Experimental Approaches:
Express pathogen enolases in N. crassa to study functional conservation
Create chimeric proteins to identify regions conferring specific properties
Develop screening systems in N. crassa to test inhibitors targeting pathogen enolases
The search results don't provide specific information about post-translational modifications (PTMs) of N. crassa enolase, but based on studies in other systems, several important PTMs likely regulate its function:
Potential Modifications:
Phosphorylation: Likely regulates activity and protein-protein interactions
Acetylation: May affect catalytic activity and subcellular localization
Glycosylation: Could influence surface exposure and extracellular functions
Proteolytic processing: Specific cleavage might activate moonlighting functions (similar to cathepsin X cleavage of NSE C-terminal in other systems)
Regulatory Significance:
PTMs may form a code that determines which cellular function enolase performs
Modifications could respond to metabolic or environmental changes
Different modifications might predominate during specific developmental stages
Localization Effects:
Surface exposure may depend on specific PTMs
Nuclear, mitochondrial, or other non-cytosolic localization might be PTM-directed
Membrane association could be regulated through modifications
Experimental Approach:
Mass spectrometry analysis to map comprehensive PTM profile
Site-directed mutagenesis of modified residues
Phosphoproteomics under different growth conditions
Comparison of PTM patterns during development and stress responses
Analysis of effects of specific PTMs on enzymatic activity and protein interactions
PTM Crosstalk:
Investigate how different modifications influence each other
Study whether specific signaling pathways target enolase for modification
Examine connections between modifications and protein stability or turnover
Systems biology approaches can provide comprehensive insights into the role of enolase within the broader metabolic network of N. crassa:
Multi-omics Integration:
Combine transcriptomics, proteomics, metabolomics, and fluxomics data
Map enolase connections within the metabolic network
Identify condition-specific regulatory patterns
Construct predictive models of glycolytic flux
Network Analysis:
Position enolase in protein-protein interaction networks
Identify metabolic modules connected to enolase function
Explore regulatory networks controlling enolase expression
Map genetic interactions through systematic genetic perturbations
Temporal and Developmental Dynamics:
Comparative Systems Analysis:
Compare N. crassa metabolic network architecture with other fungi
Identify conserved and divergent features
Relate network differences to ecological and evolutionary adaptations
Computational Modeling:
Develop constraint-based models (e.g., flux balance analysis)
Create kinetic models of glycolysis incorporating enolase parameters
Build genome-scale metabolic models
Simulate perturbations to predict systemic effects of enolase modulation
This systems-level understanding would position enolase within its broader functional context and reveal emergent properties not apparent from reductionist approaches.
Genetic Resources and Tools for N. crassa Enolase Research:
Strain Resources:
Fungal Genetics Stock Center (FGSC): Maintains the most comprehensive collection of N. crassa strains
Neurospora Genome Project knockout collection: Includes strains with mutations in genes related to metabolism
N. crassa wild-type strains: Standard laboratory strains include 74-OR23-1A and 74-OR8-1a
Genomic Resources:
Neurospora crassa genome database at the Broad Institute
FungiDB: Integrated genomic database for fungi including N. crassa
MycoCosm (JGI): Comparative genomics platform for fungi
Genetic Manipulation Tools:
Gene replacement cassettes for homologous recombination
Sib selection procedure for cloning genes by complementation of mutants
Heterologous expression strategies accounting for N. crassa's genome defense mechanisms
Transformation protocols optimized for high efficiency (10,000-50,000 transformants per μg DNA)
Expression Systems:
pMF272 vector series for GFP tagging
qa-2 regulatable promoter system
ccg-1 constitutive promoter constructs
his-3 targeting vectors for stable integration
Relevant Methodologies:
Major Technical Challenges and Solutions:
Heterologous Expression Challenges:
Protein Purification Issues:
Challenge: Potential instability or insolubility during purification
Solutions:
Optimize buffer conditions with appropriate cofactors (e.g., Mg2+)
Use affinity tags compatible with enzymatic activity
Employ mild detergents for membrane-associated fractions
Consider native purification approaches from N. crassa
Functional Redundancy:
Challenge: Potential compensatory mechanisms masking phenotypes
Solutions:
Create multiple isozyme knockouts
Use conditional expression systems
Employ acute inhibition approaches
Perform biochemical analyses in addition to genetic studies
Genome Defense Mechanisms:
Advanced Structural Analysis:
Challenge: Obtaining high-resolution structural data
Solutions: