Acinetobacter is a genus of Gram-negative bacteria known for its diverse metabolic capabilities and its ability to thrive in various environments . Within Acinetobacter species, GTP cyclohydrolase folE2 (folE2) is an enzyme involved in the early steps of folate biosynthesis . Folate, or vitamin B9, is essential for nucleotide synthesis and other critical metabolic processes. Recombinant folE2 refers to the enzyme produced through recombinant DNA technology, allowing for detailed study and potential biotechnological applications .
GTP cyclohydrolases are a group of enzymes that catalyze the first committed step in the biosynthesis of folate, as well as riboflavin and tetrahydrobiopterin . These enzymes convert guanosine triphosphate (GTP) into dihydroneopterin triphosphate, a precursor for folate. There are three classes of GTP cyclohydrolases:
GTP cyclohydrolase I (GCH1)
GTP cyclohydrolase II (GCHII)
GTP cyclohydrolase III (GCHIII)
FolE2 belongs to the GCH1 family, which is characterized by its T-fold structural superfamily core subunit .
The presence and diversity of folE2 genes vary among different Acinetobacter species and strains . Some Acinetobacter strains may possess multiple copies or variants of the folE gene, reflecting the evolutionary adaptation of these bacteria to different environmental conditions. For example, in Cupriavidus metallidurans, three FolE_I-type GTP cyclohydrolases are needed for full growth under a variety of conditions . The variation in gene content, including folE2, can occur across a large phylogenetic distance, indicating the role of recombination in the diversification of Acinetobacter genomes .
Recombinant production of Acinetobacter sp. folE2 involves cloning the folE2 gene into an expression vector and expressing it in a host organism, such as Escherichia coli . The recombinant enzyme can then be purified and characterized biochemically.
Enzyme Activity and Kinetics
The activity of recombinant FolE2 can be measured using various assays that detect the formation of dihydroneopterin triphosphate or downstream products . For instance, the specific activity of FolE_IA as GTP cyclohydrolase was determined in a photometric assay at 330 nm, measuring product formation to be 41 U/g protein .
| Enzyme | Substrate | Km (µM) | Vmax (U/mg) | Specific Activity (U/g protein) |
|---|---|---|---|---|
| FolE_IA | GTP | N/A | N/A | 41 |
| rGCH1 enzyme of R. monacensis | N/A | N/A | N/A | 0.81 |
Inhibition Studies
The effect of various compounds on FolE2 activity can be assessed to identify potential inhibitors. For example, the activity of FolE_IA could be inhibited to 40% by 2 mM Mn(II) .
| Inhibitor | Concentration | Effect on Activity |
|---|---|---|
| EDTA | 5 mM | No inhibition |
| TPEN | 80 µM | No inhibition |
| Co(II) | 100 µM | No inhibition |
| Mn(II) | 1 mM | No inhibition |
| Mn(II) | 2 mM | 40% inhibition |
Acinetobacter species, including Acinetobacter baumannii, are opportunistic pathogens that can cause nosocomial infections . Folate biosynthesis is essential for bacterial growth, making FolE2 a potential target for developing new antibacterial agents. Inhibiting FolE2 could disrupt folate production, thereby inhibiting bacterial growth .
Recombinant Acinetobacter sp. FolE2 can be used in various biotechnological applications:
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Converts GTP to 7,8-dihydroneopterin triphosphate.
KEGG: aci:ACIAD1740
STRING: 62977.ACIAD1740
Acinetobacter sp. folE2 encodes GTP cyclohydrolase IB (GCYH-IB), which catalyzes the conversion of GTP to dihydroneopterin triphosphate, the first committed step in the de novo folate biosynthesis pathway. Unlike the canonical GCYH-IA (encoded by folE), GCYH-IB is a metal-promiscuous enzyme that can function with various divalent cations beyond zinc, including manganese, iron, and other metals . This characteristic allows the enzyme to maintain folate biosynthesis under zinc-limiting conditions, providing metabolic resilience in environments where zinc availability is restricted . The reaction catalyzed involves a complex ring-opening of the guanine moiety of GTP, followed by rearrangement to form the pterin ring system characteristic of folates.
For laboratory-scale production of recombinant Acinetobacter sp. folE2, Escherichia coli remains the preferred heterologous expression system due to its well-established genetics, rapid growth, and high protein yields. Based on established protocols for other bacterial GCYH-IB enzymes, the following approach is recommended:
Expression System Protocol:
Clone the folE2 gene into a pET-series vector (pET-28a or pET-21a) with an N-terminal His6-tag for purification
Transform into E. coli BL21(DE3) or Rosetta(DE3) cells for expression
Grow cultures at 37°C until OD600 reaches 0.6-0.8
Induce with 0.5-1.0 mM IPTG and shift to 18-25°C for 16-18 hours
Harvest cells by centrifugation and lyse using sonication in buffer containing:
50 mM HEPES, pH 8.0
300 mM NaCl
10% glycerol
1 mM DTT
Protease inhibitor cocktail
This approach has been successful for producing biochemically active GCYH-IB enzymes from Bacillus subtilis and Neisseria gonorrhoeae , and should be adaptable for Acinetobacter sp. folE2 with minimal modifications.
The enzymatic activity of recombinant Acinetobacter sp. folE2 can be verified using a fluorescence-based assay that detects the formation of neopterin, which is derived from the enzymatic product. The methodology is as follows:
Fluorescence-Based Activity Assay Protocol:
Prepare reaction mixture containing:
100 mM HEPES buffer (pH 8.0)
100 mM KCl
0.5-1.0 mM divalent metal ion (MnCl₂, ZnCl₂, FeCl₂, or MgCl₂)
1 mM DTT
0.1-0.5 μM purified enzyme
0.1 mM GTP (substrate)
Incubate at 37°C for 30-60 minutes
Add 100 μL of acidic iodine solution (1% I₂/2% KI in 1 M HCl)
Incubate at room temperature for 15 minutes in the dark
Add 5 μL of 1 M NaOH and 100 μL of 1 M HCl
Measure fluorescence using excitation at 365 nm and emission at 446 nm
This assay has been successfully used for characterizing GCYH-IB enzymes from other bacterial species and should work equivalently for the Acinetobacter sp. enzyme.
The metal dependency profiles of folE (GCYH-IA) and folE2 (GCYH-IB) enzymes represent a fundamental biochemical distinction with significant physiological implications:
| Feature | GCYH-IA (folE) | GCYH-IB (folE2) |
|---|---|---|
| Structural organization | Unimodular, homodecameric | Bimodular, homotetrameric |
| Primary metal dependency | Strict Zn²⁺ requirement | Metal promiscuous |
| Active metals | Zn²⁺ only | Mn²⁺, Fe²⁺, Co²⁺, Ni²⁺, Zn²⁺ |
| Relative activity with Mn²⁺ | <5% of Zn²⁺ activity | 80-120% of Zn²⁺ activity |
| EDTA sensitivity | Complete inactivation | Partial activity retention |
| Metal binding sites | 1 per monomer | Variable, typically 1-2 per monomer |
| Physiological expression | Constitutive | Induced under Zn²⁺ limitation |
To experimentally characterize the metal dependency of Acinetobacter sp. folE2, prepare the recombinant enzyme in metal-free form by extensive dialysis against buffer containing 5-10 mM EDTA, followed by dialysis against metal-free buffer. Then conduct activity assays in the presence of various concentrations (0.01-1.0 mM) of different divalent metal ions to determine activation profiles .
To rigorously determine the metal ion preference of Acinetobacter sp. folE2, follow this comprehensive protocol:
Metal Preference Determination Protocol:
Metal Removal:
Dialyze purified protein against 50 mM HEPES (pH 8.0), 100 mM KCl, 5 mM EDTA for 12 hours at 4°C
Perform two subsequent dialysis steps against metal-free buffer to remove EDTA
Activity Screening:
Prepare reaction mixtures containing apo-enzyme (0.5 μM) and 0.5 mM of different divalent metals (Mn²⁺, Fe²⁺, Co²⁺, Ni²⁺, Cu²⁺, Zn²⁺, Mg²⁺)
Measure activity using the fluorescence assay described previously
Calculate relative activity compared to the most active metal condition
Metal Titration:
For metals showing significant activation, perform titrations using concentrations ranging from 0.001 to 2.0 mM
Plot activity versus metal concentration to determine EC₅₀ values
Competition Experiments:
Prepare reaction mixtures with optimal concentration of the preferred metal
Add increasing concentrations of competing metals
Determine whether other metals enhance or inhibit activity
This approach will yield a comprehensive metal activation profile and provide insights into the physiological metal preference of the Acinetobacter sp. folE2 enzyme under various environmental conditions .
GCYH-IB enzymes, including Acinetobacter sp. folE2, possess distinctive structural features that differentiate them from the canonical GCYH-IA enzymes despite catalyzing the same reaction. Key structural characteristics include:
A bimodular architecture, consisting of:
An N-terminal domain with a tunneling-fold (T-fold) motif that forms the core of the active site
A C-terminal domain that contributes to oligomerization and substrate binding
Homotetrameric quaternary structure (compared to the homodecameric structure of GCYH-IA)
A distinct metal-binding site architecture that accommodates various divalent cations
To investigate these structural features in Acinetobacter sp. folE2, employ the following approaches:
Structural Characterization Workflow:
Crystallization Screening:
Purify protein to >95% homogeneity and concentrate to 10-15 mg/mL
Screen crystallization conditions using commercial sparse matrix screens
Optimize promising conditions varying precipitant concentration, pH, and additives
Co-crystallize with substrate analogs (8-oxo-GTP) and different metal ions
X-ray Crystallography:
Collect diffraction data at synchrotron radiation facility
Process data using XDS or MOSFLM
Solve structure by molecular replacement using known GCYH-IB structures (e.g., N. gonorrhoeae, PDB: 3D1T)
Alternative Structural Approaches:
Small-angle X-ray scattering (SAXS) for solution structure determination
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to probe conformational dynamics
Negative-stain electron microscopy to visualize quaternary organization
These approaches will provide insights into the structural basis for the metal promiscuity and catalytic mechanism of Acinetobacter sp. folE2 .
Site-directed mutagenesis is a powerful approach to investigate structure-function relationships in folE2 enzymes. To effectively design such experiments for Acinetobacter sp. folE2:
Site-Directed Mutagenesis Strategy:
Target Residue Selection:
Identify putative metal-coordinating residues (typically His, Glu, Asp) based on sequence alignment with characterized GCYH-IB enzymes
Target conserved residues in the active site that may participate in substrate binding or catalysis
Consider residues that might confer metal specificity
Mutation Design:
For metal-coordinating residues: Substitute with Ala to eliminate coordination or with alternative coordinating residues (His→Glu) to alter metal preference
For substrate-binding residues: Create conservative substitutions that maintain charge but alter geometry (e.g., Asp→Glu)
For catalytic residues: Replace with isosteric but catalytically inactive residues
Experimental Evaluation:
Express and purify mutant proteins using the same protocol as wild-type
Determine steady-state kinetic parameters (kcat, KM) for each mutant with various metal cofactors
Analyze metal binding affinity using isothermal titration calorimetry (ITC)
Assess structural integrity through circular dichroism (CD) spectroscopy
Expected outcomes from these experiments include identification of residues critical for catalysis versus metal coordination, and insights into the structural basis for metal promiscuity in Acinetobacter sp. folE2 .
In bacteria possessing both folE and folE2 genes, such as Bacillus subtilis, folE2 expression is typically regulated by zinc-responsive transcription factors. For Acinetobacter sp., the following regulatory mechanism is likely operational:
Regulatory Mechanism:
Under zinc-replete conditions, the Zur (zinc uptake regulator) protein, bound to Zn²⁺, acts as a transcriptional repressor by binding to a specific sequence (Zur box) in the promoter region of folE2
During zinc limitation, Zur releases from DNA, allowing RNA polymerase access to the promoter and initiating folE2 transcription
This results in increased GCYH-IB production, enabling folate biosynthesis despite zinc limitation
To experimentally investigate this regulation in Acinetobacter sp.:
Experimental Approach for Studying Regulation:
Promoter Analysis:
Identify putative Zur-binding sites upstream of the folE2 gene using bioinformatics tools
Create transcriptional fusions between the folE2 promoter and a reporter gene (lacZ or gfp)
Measure reporter activity under varying zinc concentrations
Transcriptional Analysis:
Grow Acinetobacter sp. in defined media with varying zinc concentrations
Extract RNA and perform RT-qPCR to quantify folE2 expression levels
Perform RNA-seq to identify co-regulated genes in the zinc depletion response
Protein Binding Studies:
Express and purify the Acinetobacter sp. Zur protein
Perform electrophoretic mobility shift assays (EMSA) with labeled folE2 promoter fragments
Use DNase I footprinting to precisely map the Zur binding site
This approach will elucidate the molecular mechanisms controlling folE2 expression and provide insights into how Acinetobacter sp. adapts to zinc limitation .
To definitively establish the physiological role of folE2 in Acinetobacter sp. during zinc limitation, a comprehensive experimental design incorporating genetics, biochemistry, and physiological measurements is required:
Experimental Design for Physiological Role Determination:
Genetic Manipulation:
Generate deletion mutants: ΔfolE, ΔfolE2, and ΔfolE/ΔfolE2 double mutant
Create complementation strains expressing folE or folE2 from controlled promoters
Construct folE2 variants with altered metal specificity through site-directed mutagenesis
Growth Phenotype Analysis:
Compare growth curves of wild-type and mutant strains in media with:
Defined zinc concentrations (1 nM to 10 μM ZnSO₄)
Metal chelators (EDTA, TPEN)
Competing metals (excess Mn²⁺, Fe²⁺)
Perform growth competition assays between wild-type and ΔfolE2 strains under zinc limitation
Metabolic Analysis:
Measure intracellular folate levels using LC-MS/MS
Quantify GTP and other nucleotide levels
Analyze expression of folate-dependent metabolic pathways
Metal Homeostasis Evaluation:
Determine intracellular zinc and manganese concentrations using ICP-MS
Analyze expression of zinc transport systems in response to folE2 deletion
Measure metal distribution using metalloproteomics approaches
Expected outcomes include growth defects in the ΔfolE2 strain specifically under zinc limitation, rescue by folE2 complementation, and metabolic signatures of folate deficiency in the absence of folE2 during zinc starvation .
Beyond its canonical role in folate biosynthesis, emerging evidence suggests GCYH-IB enzymes may have additional functions. To investigate potential moonlighting roles of Acinetobacter sp. folE2:
Experimental Strategy for Moonlighting Function Discovery:
Interactome Analysis:
Perform bacterial two-hybrid screening to identify protein interaction partners
Use pull-down assays with tagged folE2 followed by mass spectrometry
Validate interactions using biolayer interferometry or surface plasmon resonance
Metabolic Impact Assessment:
Conduct untargeted metabolomics comparing wild-type and ΔfolE2 strains
Focus on pathways beyond folate biosynthesis showing significant alterations
Perform 13C-labeling studies to track metabolic flux changes
Alternative Substrate Screening:
Test activity of purified folE2 with GTP analogs and other nucleotides
Analyze reaction products using HPLC and mass spectrometry
Investigate potential roles in modified nucleotide formation for tRNA modification
Stress Response Studies:
Expose wild-type and ΔfolE2 strains to various stressors (oxidative, nitrosative, acid stress)
Measure survival rates and stress response gene expression
Investigate potential protein-nucleic acid interactions under stress conditions
This comprehensive approach may reveal unexpected functions of folE2, particularly in connection with the 7-deazapurine biosynthesis pathway for tRNA modification or other cellular processes beyond folate metabolism .
The metal promiscuity of folE2 enzymes presents a fascinating case for studying metalloenzyme evolution. To investigate evolutionary aspects of metal specificity in the folE2 family:
Evolutionary Analysis Protocol:
Phylogenetic Analysis:
Collect folE2 sequences from diverse bacterial phyla, focusing on Acinetobacter and related genera
Construct maximum-likelihood phylogenetic trees
Map metal preferences (where known) onto the phylogeny
Identify clades with apparent shifts in metal preference
Ancestral Sequence Reconstruction:
Infer ancestral folE2 sequences at key nodes in the phylogeny
Express and characterize reconstructed ancestral enzymes
Determine metal preference profiles of ancestral enzymes
Comparative Structural Analysis:
Align structures of folE2 enzymes with different metal preferences
Identify structural elements correlating with specific metal utilization
Design chimeric enzymes combining domains from different folE2 variants
Horizontal Gene Transfer Analysis:
Examine genomic context of folE2 genes across species
Compare folE2 phylogeny with species phylogeny to detect horizontal transfer events
Correlate gene transfer events with habitat transitions or metal availability
This approach will provide insights into how metal utilization evolved in folE2 enzymes and may reveal adaptations specific to Acinetobacter sp. habitats and lifestyle .
Computational methods offer powerful tools for predicting functional properties of Acinetobacter sp. folE2 before experimental validation:
Computational Prediction Workflow:
Homology Modeling:
Generate structural models using SWISS-MODEL or I-TASSER
Use known GCYH-IB structures (e.g., N. gonorrhoeae, PDB: 3D1T) as templates
Refine models focusing on active site geometry and metal-binding sites
Molecular Docking:
Dock GTP and analogs into the active site using AutoDock Vina or GOLD
Evaluate binding poses and interaction energies
Identify key residues for substrate recognition
Molecular Dynamics Simulations:
Prepare systems with different metal ions in the active site
Run extended (>100 ns) simulations to analyze metal coordination dynamics
Calculate free energy of metal binding using enhanced sampling methods
Quantum Mechanics/Molecular Mechanics (QM/MM):
Investigate the reaction mechanism with different metals at the active site
Calculate energy barriers for the rate-limiting steps
Compare catalytic efficiency with different metals
Machine Learning Approaches:
Train models on known metalloenzyme structures to predict metal-binding sites
Use sequence-based features to predict metal preference from primary structure
Apply graph neural networks to predict protein-ligand interactions
These computational approaches will generate testable hypotheses about metal coordination, substrate binding, and catalytic mechanism in Acinetobacter sp. folE2, guiding subsequent experimental work .
Acinetobacter sp. folE2 provides an excellent model system for investigating bacterial strategies for coping with metal limitation, a critical aspect of host-pathogen interactions and environmental adaptation:
Research Applications in Metal Homeostasis:
Metal Limitation Reporter System:
Develop biosensors using folE2 promoter fusions to fluorescent proteins
Monitor zinc limitation in real-time during infection or environmental transitions
Screen for compounds that disrupt bacterial metal acquisition systems
Competitive Index Studies:
Create tagged wild-type and ΔfolE2 strains for competition experiments
Track population dynamics in environments with fluctuating metal availability
Identify environmental niches where folE2 provides a competitive advantage
Host-Pathogen Interaction Models:
Investigate the role of folE2 in Acinetobacter pathogenesis
Determine whether host nutritional immunity (metal sequestration) induces folE2 expression
Assess whether folE2-dependent metal flexibility contributes to virulence
Evolutionary Adaptation Experiments:
Subject Acinetobacter sp. to long-term metal limitation
Monitor genetic changes in folE2 sequence and regulation
Analyze shifts in metal utilization strategies
These approaches leverage folE2 as a model for understanding fundamental aspects of bacterial metal physiology with potential applications in developing new antimicrobial strategies targeting metal homeostasis .
Preserving the native metal content of recombinant folE2 is critical for accurate biochemical characterization. The following protocol is designed specifically for this purpose:
Metal-Preserving Purification Protocol:
Expression Optimization:
Supplement E. coli growth medium with 0.1-0.5 mM of the metal of interest (Mn²⁺, Fe²⁺, or Zn²⁺)
Use low IPTG concentration (0.1-0.2 mM) and lower growth temperature (18°C) to promote proper folding
Lysis and Buffer Composition:
Prepare all buffers using high-purity water treated with Chelex-100 resin
Include 0.1 mM of the metal of interest in all buffers
Avoid metal chelators like EDTA unless specifically needed
Use the following lysis buffer:
50 mM HEPES, pH 8.0
300 mM NaCl
10% glycerol
0.1 mM of appropriate metal salt
1 mM DTT
Protease inhibitor cocktail (EDTA-free)
Chromatography Strategy:
Use immobilized metal affinity chromatography (IMAC) with Co²⁺ or Ni²⁺ resin
Include 0.05 mM of the metal of interest in all chromatography buffers
Elute with imidazole gradient (20-250 mM)
Follow with size exclusion chromatography using metal-supplemented buffer
Metal Content Analysis:
Determine protein concentration by Bradford assay or UV absorption
Analyze metal content using inductively coupled plasma mass spectrometry (ICP-MS)
Calculate metal-to-protein stoichiometry
Verify enzymatic activity correlates with metal content
This protocol will yield recombinant Acinetobacter sp. folE2 with well-defined metal content for subsequent biochemical and structural studies .
Contradictory results in metal activation studies are common with metal-promiscuous enzymes like folE2. Consider these interpretations and troubleshooting approaches:
Contradiction Analysis Framework:
Buffer Components Influence:
| Buffer Component | Potential Effect | Troubleshooting Approach |
|---|---|---|
| Phosphate | May precipitate certain metals | Use HEPES or Tris buffers |
| Tris | Can weakly coordinate metals | Compare with HEPES results |
| Reducing agents | May alter metal oxidation states | Try different reducers (DTT vs. TCEP) |
| pH | Affects metal solubility and coordination | Test pH range 7.0-8.5 |
| Salt concentration | Competes with protein-metal interactions | Vary NaCl from 50-300 mM |
Protein Preparation Factors:
Residual metals from expression host may influence results
Storage conditions may lead to oxidation or metal exchange
Freeze-thaw cycles can affect metal retention
Tag position (N- vs. C-terminal) may influence metal binding
Experimental Design Considerations:
Order of addition (metal first vs. substrate first) may yield different results
Pre-incubation time with metal affects activation profiles
Assay temperature influences metal binding equilibria
Metal contamination in commercial reagents can be significant
Resolution Strategies:
Systematically vary all buffer components individually
Test multiple protein preparations from independent expressions
Use metal chelation resin to remove trace metal contaminants
Perform isothermal titration calorimetry to directly measure metal binding
By systematically addressing these factors, you can resolve contradictions and obtain a more accurate understanding of the metal activation properties of Acinetobacter sp. folE2 .
Research with recombinant Acinetobacter sp. folE2 presents several challenges that can compromise experimental outcomes. Here are key pitfalls and solutions:
Common Pitfalls and Solutions:
Expression and Solubility Issues:
Pitfall: Inclusion body formation
Solution: Lower induction temperature to 18°C, reduce IPTG concentration, co-express with molecular chaperones, or use solubility-enhancing fusion tags (SUMO, MBP)
Enzyme Stability Challenges:
Pitfall: Activity loss during purification or storage
Solution: Include glycerol (10-20%) in buffers, add reducing agents, avoid freeze-thaw cycles, and store at higher protein concentration (>1 mg/mL)
Metal Contamination:
Pitfall: Trace metals in buffers confounding metal specificity studies
Solution: Treat all buffers with Chelex-100 resin, use high-purity reagents, include negative controls with EDTA, and verify metal content by ICP-MS
Kinetic Assay Limitations:
Pitfall: Non-linear enzyme kinetics or substrate inhibition at high GTP concentrations
Solution: Use lower enzyme concentrations, optimize GTP concentration range, and consider potential product inhibition
Structural Analysis Challenges:
Pitfall: Conformational heterogeneity hindering crystallization
Solution: Perform limited proteolysis to identify stable domains, screen with substrate analogs or product, and consider surface entropy reduction mutations
Functional Redundancy:
Pitfall: Difficulty observing phenotypes in genetic studies due to redundant folE
Solution: Create double knockout strains, use zinc-limiting conditions to focus on folE2 function, and monitor expression of both enzymes
By anticipating these challenges and implementing the suggested solutions, researchers can significantly improve the quality and reliability of experiments with recombinant Acinetobacter sp. folE2 .