Recombinant Candida glabrata Acetyl-CoA hydrolase (ACH1), partial, refers to a genetically engineered form of the Acetyl-CoA hydrolase enzyme derived from the Candida glabrata yeast, where only a fragment of the complete enzyme is produced through recombinant DNA technology . Acetyl-CoA hydrolase (ACH1) enzymes catalyze the hydrolysis of acetyl-CoA into acetate and coenzyme A, playing a crucial role in acetyl-CoA metabolism . Acetyl-CoA, a central metabolite, is involved in various pathways required to metabolize nonfermentable carbon sources and is essential for virulence in fungal pathogens like Candida albicans .
Acetyl-CoA is a central intermediate in pathways required for metabolizing nonfermentable carbon sources . These pathways, including gluconeogenesis, the glyoxylate cycle, and beta-oxidation, are essential for the virulence of Candida albicans . Compartmentalization of these processes in the cytosol, mitochondria, and peroxisomes necessitates the transport of intermediates across intracellular membranes . Acetyl-CoA is transported as acetate via the carnitine shuttle, with acetyl-CoA hydrolase (ACH1) and acetyl-CoA synthetase (ACS1 and ACS2) regulating the conversion between acetyl-CoA and acetate .
While Candida albicans strains lacking ACH1 show a mild growth defect on some carbon sources, they remain fully virulent in a mouse model of disseminated candidiasis . The related multidrug transporter CgDtr1 in Candida glabrata influences virulence by affecting the yeast's susceptibility to acetic acid . Overexpression of CgDTR1 increases resistance to acetic and benzoic acid stress, suggesting a role in protecting against weak acid stress within the host .
Clinical isolates of Candida glabrata exhibit variations in azole susceptibility, surface hydrophobicity, and oxidative stress generation compared to wild-type strains . Molecular profiling has identified differential metabolites and re-wired cellular pathways in pathogenic clinical isolates, enhancing pathogenicity and virulence traits .
CgDtr1 acts as a plasma membrane acetate exporter, contributing to weak acid stress tolerance in Candida glabrata . Upregulation of CgDTR1 transcript levels during internalization in hemocytes and exposure to hydrogen peroxide highlights its importance in adapting to growth inside macrophages .
The transcription factor Tec1 in Candida glabrata controls the upregulation of adhesin-encoding genes during biofilm formation and indirectly regulates ergosterol content in biofilm cells . Tec1 targets, such as CgAUR1, CgAED2, and CgSUR2, play a role in biofilm formation, making Tec1 a potential target for antifungal therapeutics .
| Strain | Fluconazole MIC90 (µg/mL) | Miconazole MIC90 (µg/mL) |
|---|---|---|
| C0 | 25 | 0.78 |
| C1 | 225 | 3.12 |
| C2 | >250 | 3.12 |
| C3 | >250 | 3.12 |
| C4 | 225 | 1.56 |
C0: 855 ± 35 mg
C1: 514 ± 35 mg
C2: 639 ± 4 mg
C3: 558 ± 9 mg
C4: 610 ± 11 mg
KEGG: cgr:CAGL0J04268g
STRING: 284593.XP_447891.1
Acetyl-CoA hydrolase (ACH1) in C. glabrata catalyzes the hydrolysis of acetyl-CoA to acetate and coenzyme A, playing a crucial role in alternative carbon metabolism. This enzyme is particularly important when C. glabrata must utilize non-glucose carbon sources such as acetate, ethanol, or fatty acids. In such conditions, the glyoxylate cycle becomes essential, and ACH1 helps regulate acetyl-CoA pools that connect this cycle with other metabolic pathways . The enzyme facilitates carbon flux between different cellular compartments, which is vital for metabolic adaptation during growth in glucose-limited environments such as those encountered during host infection.
ACH1 plays a significant role in alternative carbon metabolism by regulating intracellular acetyl-CoA levels. When C. glabrata utilizes carbon sources like ethanol or acetate, these are ultimately converted to acetyl-CoA via acetyl-CoA synthetase (Acs1) in the cytosol . ACH1 helps balance acetyl-CoA concentrations between different metabolic pathways, including:
Directing acetyl-CoA toward the glyoxylate cycle for gluconeogenesis
Regulating acetyl-CoA flux between cytosol and mitochondria
Facilitating acetyl-CoA utilization when fatty acids are metabolized
The enzyme becomes particularly important during carbon source shifts, allowing C. glabrata to thrive in microenvironments with poor glucose availability, such as within macrophages or neutrophils where acetate may be more abundant .
ACH1 expression in C. glabrata is regulated through complex transcriptional networks that respond to carbon source availability. While not directly mentioned in the search results, we can infer from related systems that ACH1 likely shows similar regulation patterns to other genes involved in alternative carbon metabolism. In environments where glucose is limited, ACH1 expression is upregulated alongside other enzymes of the glyoxylate cycle. This regulation may involve transcription factors similar to Pdr1, which has been shown to control numerous genes in C. glabrata in response to environmental stressors . The enzyme's expression is particularly important during host-pathogen interactions, where C. glabrata must adapt to changing carbon landscapes within different host niches.
For optimal expression of recombinant C. glabrata ACH1, several expression systems can be employed, each with specific advantages:
| Expression System | Advantages | Considerations |
|---|---|---|
| E. coli BL21(DE3) | High yield, rapid growth, cost-effective | May require codon optimization, potential inclusion body formation |
| Pichia pastoris | Proper eukaryotic post-translational modifications, high secretion | Longer expression time, more complex media requirements |
| S. cerevisiae | Closely related to C. glabrata, similar codon usage | Lower yields than E. coli, longer cultivation time |
The methodological approach should include:
Gene optimization based on codon usage of the expression host
Addition of affinity tags (His6 or GST) to facilitate purification
Temperature optimization (typically 18-25°C for E. coli) to enhance soluble protein yield
Induction protocol optimization (IPTG concentration for E. coli or methanol for P. pastoris)
For a valid experimental design, include appropriate controls and systematically test expression variables as outlined in standard experimental design principles .
A multi-step purification strategy is recommended for obtaining high-purity, active recombinant ACH1:
Initial Capture: Affinity chromatography using Ni-NTA for His-tagged protein or glutathione resin for GST-tagged constructs
Intermediate Purification: Ion exchange chromatography (typically Q-Sepharose at pH 8.0)
Polishing: Size exclusion chromatography to remove aggregates and obtain homogeneous protein
Throughout purification, maintain these critical parameters:
Buffer composition: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT
Temperature: Maintain samples at 4°C throughout purification
Protease inhibitors: Add complete protease inhibitor cocktail to prevent degradation
Activity assays: Monitor enzyme activity after each purification step using a spectrophotometric assay measuring CoA release
This methodological approach ensures both high purity and preserved enzymatic activity, which is essential for subsequent functional studies.
Multiple complementary techniques should be employed to verify both structural integrity and functional activity:
Structural Integrity Assessment:
SDS-PAGE: Confirms molecular weight and purity
Circular Dichroism (CD): Analyzes secondary structure elements
Thermal Shift Assay: Determines protein stability and proper folding
Dynamic Light Scattering (DLS): Assesses homogeneity and aggregation state
Functional Activity Verification:
Spectrophotometric Assay: Measure CoA release using DTNB (Ellman's reagent)
HPLC Analysis: Quantify acetate production
Isothermal Titration Calorimetry (ITC): Determine binding parameters to substrates and inhibitors
The combination of these techniques provides comprehensive validation of your recombinant protein preparation before proceeding to more complex experiments.
ACH1 contributes to C. glabrata virulence through its role in alternative carbon metabolism, which is essential for survival in diverse host microenvironments. While not directly mentioned in the search results, we can infer from the information about carbon metabolism that ACH1 likely contributes to pathogenicity through:
Metabolic Flexibility: By participating in acetyl-CoA metabolism, ACH1 enables C. glabrata to utilize alternative carbon sources like acetate when glucose is limited, particularly within phagocytic cells .
Survival in Immune Cells: The upregulation of acetate permease gene ADY2 in C. glabrata during engulfment by macrophages and neutrophils suggests that acetate metabolism, which involves ACH1, is crucial for survival within these immune cells .
Adaptation to Host Niches: Similar to observations in C. albicans, the glyoxylate cycle and related enzymes like ACH1 likely enable C. glabrata to colonize different anatomical sites with varying nutrient availability.
This metabolic adaptation strategy is a significant virulence factor that allows C. glabrata to persist during infection despite nutrient limitations imposed by the host.
While direct evidence linking ACH1 to antifungal resistance is not provided in the search results, there are several plausible connections:
Metabolic Adaptation: ACH1's role in alternative carbon metabolism may indirectly contribute to stress resistance, including response to antifungal drugs. Metabolic flexibility often correlates with enhanced stress tolerance.
Transcriptional Regulation: In C. glabrata, antifungal resistance is often mediated through transcription factors like Pdr1, which controls numerous genes . If ACH1 falls under similar regulatory networks, its expression might be altered in resistant strains.
Energy Homeostasis: By regulating acetyl-CoA pools, ACH1 influences energy metabolism, which may affect the cell's ability to activate efflux pumps like Cdr1 that require ATP and are primary mediators of azole resistance .
To investigate these potential connections, experiments should compare ACH1 expression and activity between drug-susceptible and resistant isolates, and assess whether ACH1 deletion affects minimum inhibitory concentrations (MICs) of various antifungals.
The activity and expression of ACH1 likely differ between commensal and invasive states of C. glabrata, reflecting adaptation to different host environments:
| State | Expected ACH1 Activity | Underlying Rationale |
|---|---|---|
| Commensal | Moderate | Balanced carbon metabolism in glucose-variable environments |
| Invasive | Elevated | Enhanced alternative carbon utilization during tissue invasion |
| Within Phagocytes | Highly elevated | Critical for survival in glucose-poor, acetate-rich phagocyte environment |
In the commensal state, C. glabrata encounters varying levels of glucose and must maintain metabolic flexibility. During invasion, the pathogen faces increased nutrient competition and host-imposed stresses, requiring upregulation of alternative metabolic pathways involving ACH1. When phagocytosed, C. glabrata must rapidly adapt to the glucose-poor environment inside immune cells, where acetate metabolism becomes crucial for survival .
To experimentally verify these differences, researchers should compare ACH1 expression and activity in C. glabrata isolated from different host niches or growth conditions mimicking these environments.
Site-directed mutagenesis represents a powerful approach to investigate the catalytic mechanism of C. glabrata ACH1. The methodology involves:
Identification of Key Residues: Based on sequence alignment with homologous enzymes and structural predictions, identify conserved residues likely involved in substrate binding and catalysis.
Mutation Design Strategy:
Conservative mutations: Replace residues with similarly charged/sized amino acids to assess specific chemical properties
Non-conservative mutations: Replace with functionally distinct residues to confirm essentiality
Alanine scanning: Systematically replace residues with alanine to map the active site
Experimental Protocol:
Use PCR-based mutagenesis with complementary primers containing the desired mutation
Verify mutations by DNA sequencing
Express and purify mutant proteins following the same protocol as wild-type
Functional Characterization:
Determine kinetic parameters (kcat, Km) for each mutant
Assess pH-dependence profiles to identify changes in ionizable groups
Perform substrate specificity assays to detect altered recognition patterns
The experimental design should follow established principles for controlling variables, with wild-type enzyme serving as the control and multiple independent protein preparations to ensure reproducibility .
Comparative analysis of ACH1 across Candida species reveals significant structural and functional adaptations:
| Species | Key Structural Features | Functional Implications |
|---|---|---|
| C. glabrata | Predicted compact catalytic domain, potentially unique substrate-binding loop | Potentially higher specificity for acetyl-CoA |
| C. albicans | Extended N-terminal region | Additional regulatory functions, potentially different localization |
| S. cerevisiae | Highly similar to C. glabrata enzyme | Similar catalytic efficiency, reflects close evolutionary relationship |
C. glabrata ACH1 likely shares core catalytic mechanisms with its homologs, but with specific adaptations reflecting its unique ecological niche and metabolic requirements. While C. albicans relies exclusively on the carnitine shuttle for acetyl-CoA transportation due to the absence of peroxisomal citrate synthase (Cit2) , C. glabrata appears to possess both transportation systems similar to S. cerevisiae. This metabolic difference may influence the regulation and function of ACH1 in C. glabrata compared to other Candida species.
To experimentally characterize these differences, researchers should express and purify homologs from different species under identical conditions and compare their biochemical properties, substrate specificities, and responses to inhibitors.
Computational approaches offer valuable insights into ACH1 substrate interactions through multiple methodologies:
Homology Modeling and Molecular Docking:
Generate a 3D structural model of C. glabrata ACH1 using closely related crystal structures as templates
Perform molecular docking simulations with acetyl-CoA and potential inhibitors
Calculate binding energies and identify key interaction residues
Molecular Dynamics Simulations:
Simulate enzyme-substrate complex in explicit solvent over nanosecond timescales
Analyze conformational changes upon substrate binding
Identify water-mediated interactions in the active site
Quantum Mechanics/Molecular Mechanics (QM/MM):
Model the reaction mechanism at the electronic level
Calculate activation energies for different mechanistic hypotheses
Predict the effects of mutations on catalysis
Machine Learning Applications:
Develop models to predict substrate specificity based on sequence features
Identify potential inhibitors through virtual screening of compound libraries
Classify ACH1 variants based on predicted functional properties
These computational approaches should be validated with experimental data, creating an iterative process where computational predictions guide experimental design, and experimental results refine computational models.
Researchers frequently encounter several challenges when working with recombinant C. glabrata ACH1:
| Challenge | Possible Causes | Solutions |
|---|---|---|
| Low expression yield | Codon bias, protein toxicity | Optimize codon usage, use tight expression control, lower induction temperature to 16-18°C |
| Inclusion body formation | Rapid expression, improper folding | Co-express with chaperones (GroEL/ES), use solubility tags (SUMO, MBP), optimize buffer conditions |
| Loss of activity during purification | Oxidation of catalytic cysteines, cofactor loss | Include reducing agents (DTT, β-ME), supplement buffers with cofactors, minimize purification steps |
| Protein aggregation | Hydrophobic patches, improper buffer | Screen buffer conditions using thermal shift assay, add stabilizers like glycerol or arginine |
| Inconsistent activity measurements | Substrate degradation, assay interference | Prepare fresh substrates, validate assay with controls, use multiple assay methods |
When designing experiments to address these challenges, apply systematic troubleshooting by changing one variable at a time and including appropriate controls . Document all optimization steps meticulously to ensure reproducibility.
Isotope labeling represents a powerful approach for tracking ACH1 activity in metabolic studies:
Experimental Design Methodology:
Label acetate or acetyl-CoA with 13C or 14C at specific carbon positions
Introduce labeled substrates to cell cultures or enzyme reactions
Track the fate of labeled carbon atoms through various metabolic pathways
Analytical Techniques:
13C-NMR Spectroscopy: Detects position-specific incorporation of 13C labels
Mass Spectrometry: Measures mass shifts in metabolites containing incorporated labels
Scintillation Counting: Quantifies 14C incorporation into various metabolic fractions
Experimental Applications:
Determine the contribution of ACH1 to acetate metabolism using knockout strains
Track carbon flux through glyoxylate cycle versus TCA cycle
Measure compartment-specific acetyl-CoA pools affected by ACH1 activity
This methodology allows researchers to quantitatively assess ACH1's contribution to C. glabrata metabolism under different growth conditions or during interaction with host cells, providing insights not obtainable through static measurements.
When designing inhibitor studies for C. glabrata ACH1, several critical methodological considerations must be addressed:
Inhibitor Selection Strategy:
Structure-based: Design compounds based on substrate analogs or transition state mimics
Screening-based: Test libraries of compounds with established antifungal activity
Natural product approach: Evaluate plant extracts or microbial metabolites
In Vitro Inhibition Characterization:
Determine inhibition mechanism (competitive, non-competitive, uncompetitive)
Calculate Ki values under standardized conditions
Assess time-dependence and reversibility of inhibition
Selectivity Assessment:
Test against human homologs to evaluate potential toxicity
Compare inhibition against ACH1 from non-pathogenic yeast species
Evaluate effects on other acetyl-CoA utilizing enzymes
Cellular Studies Design:
Measure growth inhibition in media with different carbon sources
Assess effects on acetate utilization in wild-type versus ACH1-overexpressing strains
Evaluate synergy with established antifungal drugs
Controls and Validation:
Include enzyme-free and substrate-free controls
Verify inhibitor purity and stability under assay conditions
Use multiple, complementary assay methods to confirm results
These methodological considerations ensure that inhibitor studies provide reliable, reproducible data that can guide the development of potential therapeutic strategies targeting C. glabrata metabolism.
Future research on C. glabrata ACH1 should focus on several promising directions:
Host-Pathogen Interaction Studies: Investigate ACH1 expression and activity during interaction with different host cell types, particularly during phagocytosis by macrophages and neutrophils where acetate metabolism appears important .
Genetic Regulation Networks: Determine whether ACH1 is regulated by transcription factors like Pdr1 that control virulence and drug resistance genes in C. glabrata .
In Vivo Significance: Develop animal models to assess the contribution of ACH1 to colonization, persistence, and virulence in different anatomical niches.
Metabolic Adaptation: Explore how ACH1 contributes to metabolic flexibility during shifts between commensal and pathogenic lifestyles, particularly in relation to carbon source utilization.
Inhibitor Development: Design and test specific inhibitors of ACH1 as potential antifungal leads, especially compounds that might sensitize C. glabrata to existing antifungals.
These research directions have significant potential to advance our understanding of C. glabrata pathogenesis and identify novel therapeutic targets for this emerging fungal pathogen.
Research on C. glabrata ACH1 could contribute to novel antifungal strategies through several mechanisms:
Metabolic Vulnerability Targeting: By understanding ACH1's role in alternative carbon metabolism, researchers could develop compounds that inhibit growth under the nutrient-limited conditions found during infection.
Biofilm Disruption: If ACH1 contributes to biofilm formation through its metabolic functions, inhibitors could potentially disrupt this virulence trait.
Combination Therapy Approaches: ACH1 inhibitors might sensitize C. glabrata to existing antifungals, particularly in strains with activated Pdr1 that show increased virulence and drug resistance .
Host-Directed Therapy: Understanding how host conditions affect ACH1 expression could lead to strategies that modify the host environment to disadvantage the pathogen.
Broad-Spectrum Potential: Due to the conservation of acetyl-CoA metabolism across fungal pathogens, ACH1-targeted strategies might be effective against multiple Candida species.