Essential for Microorganism Survival Disruption of the hisD gene has been shown to be essential for the survival of certain microorganisms, such as Mycobacterium tuberculosis, the causative agent of tuberculosis (TB) .
Potential Drug Target The absence of the histidine biosynthetic pathway in mammals, combined with its essential role in bacteria, makes histidinol dehydrogenase a potential target for developing new antibacterial drugs .
Cloning, Expression, and Purification Recombinant hisD-encoded histidinol dehydrogenase (MtHisD) can be produced through cloning, expression, and purification techniques .
Confirmation of Identity N-terminal amino acid sequencing and electrospray ionization mass spectrometry analyses can confirm the identity of homogeneous MtHisD .
Histidine biosynthesis involves multiple enzymatic steps. The hisD gene product, histidinol dehydrogenase, functions late in the pathway :
Imidazole glycerol phosphate (IGP) is dehydrated by imidazole glycerole phosphate dehydratase (IGPD).
The product, imidazole acetol phosphate, is transaminated by histidinol phosphate aminotransferase (HisC) to give L-histidinol phosphate.
L-histidinol phosphate is converted into L-histidinol, which is oxidized to L-histidine in two steps via the L-histidinal intermediate by histidinol dehydrogenase (HisD) .
Gene Deletion Studies The hisD gene can be deleted from the genome of Acinetobacter strains to study its function .
Complementation Studies The hisD gene can be inserted into plasmids and used to complement hisD deletions in Acinetobacter strains .
Enhanced Histidine Production Modified host cells, such as E. coli, can be engineered to enhance histidine production by manipulating genes like PurR and introducing heterologous genes .
Low-Purine Foods Xanthine dehydrogenase (XDH) from Acinetobacter baumannii can be used to degrade purines in food products, indicating potential applications in low-purine foods to prevent hyperuricemia and gout .
KEGG: aci:ACIAD0663
STRING: 62977.ACIAD0663
Histidinol dehydrogenase, the product of the hisD gene, mediates the final step in the histidine biosynthetic pathway in Acinetobacter species . This enzyme catalyzes the NAD-dependent oxidation of L-histidinol to L-histidine, completing the biosynthesis of this essential amino acid. The histidine biosynthesis pathway is complex and involves nine genes in total, with hisD playing a crucial terminal role . In bacterial species lacking the ability to uptake histidine from the environment efficiently, the functional integrity of this enzyme is essential for survival, making it an attractive target for antimicrobial development.
Recombinant expression of hisD in Acinetobacter can be achieved using purpose-designed shuttle plasmids. Research has demonstrated that the hisD gene can be inserted into expression vectors for complementation studies . When designing your expression system, consider the following methodology:
Select an appropriate shuttle plasmid system compatible with Acinetobacter (such as pJL series vectors)
Clone the hisD gene with proper regulatory elements (promoter, RBS)
Introduce the plasmid into the Acinetobacter strain via triparental mating or electroporation
Select transformants using appropriate antibiotics
Verify expression through complementation testing
For complementation testing, dilute saturated cultures 1000-fold in PBS, spot 7-μl of cell suspension onto solid medium supplemented with varying concentrations of inducers (e.g., arabinose or IPTG), and examine growth after 16 hours of incubation at 37°C .
Like most enzymes, histidinol dehydrogenase activity is significantly influenced by several physiochemical parameters that should be carefully controlled in experimental settings:
When designing experiments with histidinol dehydrogenase, it's critical to optimize these parameters to obtain reliable and reproducible results. Temperature and pH optimization is particularly important, as enzymes typically show bell-shaped response curves for both parameters .
While the Acinetobacter histidinol dehydrogenase structure hasn't been fully elucidated in the provided search results, insights can be drawn from related enzymes in the histidine biosynthesis pathway. For example, ATP phosphoribosyltransferase (which catalyzes the first step of histidine biosynthesis in Acinetobacter baumannii) demonstrates how structure influences catalytic function .
Histidinol dehydrogenase contains NAD+-binding domains characteristic of dehydrogenases, with catalytic residues positioned to facilitate hydride transfer. Structure-based design studies have successfully identified inhibitors targeting the enzyme's active site, suggesting well-defined substrate binding pockets amenable to selective targeting . The enzyme likely undergoes conformational changes during catalysis, with distinct structural states corresponding to substrate binding, catalysis, and product release.
For researchers investigating structure-function relationships, site-directed mutagenesis of conserved residues combined with kinetic analysis can provide valuable insights into the catalytic mechanism.
Recent structure-based drug design efforts targeting histidinol dehydrogenase have yielded promising inhibitors with potential antimicrobial applications. The general methodology for inhibitor development includes:
Structural analysis of the enzyme's active site
In silico docking studies with candidate compounds
Rational design of substrate analogs targeting the active site
Synthesis and screening of designed compounds
IC50 determination and structure-activity relationship analysis
This approach has proven successful in developing potent inhibitors for Geotrichum candidum histidinol dehydrogenase, with IC50 values as low as 3.17 μM . The inhibitor design focused on substrate analogs that mimic the transition state of the reaction, offering competitive inhibition. Similar approaches could be applied to Acinetobacter histidinol dehydrogenase, especially given the conserved nature of this enzyme across species.
For researchers pursuing this direction, combining computational docking with experimental validation is essential for optimizing inhibitor potency and selectivity.
While direct evidence for hisD's role in pathogenicity is limited in the provided search results, insights can be drawn from studies on related genes in the histidine biosynthesis pathway. The hisF gene, which encodes another enzyme in this pathway, has been shown to be significantly upregulated during infection. Transcriptomic analysis revealed that hisF was over-expressed 7.2-fold in the ATCC 17978 strain and 19.2-fold in the multiresistant AbH12O-A2 clinical isolate during lung infection in mice .
This suggests that the histidine biosynthesis pathway, including histidinol dehydrogenase, plays an important role in Acinetobacter pathogenicity. The upregulation likely reflects adaptation to the nutrient-limited environment within the host, where de novo amino acid synthesis becomes crucial for bacterial survival and persistence.
To investigate the specific contribution of histidinol dehydrogenase to pathogenicity, researchers can:
Generate hisD deletion mutants and assess virulence in infection models
Perform growth curve analysis in histidine-limited media to demonstrate auxotrophy
Conduct transcriptomic analysis to examine hisD expression during infection
Evaluate the efficacy of histidinol dehydrogenase inhibitors in reducing bacterial persistence
Such studies would provide valuable insights into the potential of histidinol dehydrogenase as a therapeutic target.
Complementation studies are critical for confirming gene function and validating recombinant expression systems. For histidinol dehydrogenase, the following methodology is recommended:
Generate a hisD deletion mutant in your Acinetobacter strain of interest
Confirm the histidine auxotrophy of the mutant through growth curves in minimal media with and without histidine supplementation
Clone the wild-type hisD gene into an appropriate expression vector
Transform the deletion mutant with the complementation plasmid
Test for restoration of growth in histidine-free medium under various inducer concentrations
A successful complementation experiment would show that:
The ΔhisD mutant cannot grow in histidine-free medium
The complemented strain regains the ability to grow without histidine supplementation
Growth correlates with inducer concentration, indicating regulated expression of the recombinant gene
This approach has been successfully used with the hisD gene inserted into shuttle plasmids, where cells grown to saturation were diluted 1000-fold in PBS, spotted onto solid medium supplemented with different concentrations of arabinose or IPTG, and examined after 16 hours of incubation at 37°C .
Several approaches can be employed to quantify histidinol dehydrogenase activity in recombinant systems:
| Methodology | Principle | Advantages | Limitations |
|---|---|---|---|
| Spectrophotometric assay | Monitors NAD+ reduction (340 nm) | Real-time kinetics, quantitative | May have background interference |
| Coupled enzyme assay | Links HisD activity to colorimetric reaction | Enhanced sensitivity | Dependent on coupling enzyme stability |
| HPLC-based quantification | Directly measures substrate/product concentration | High specificity, accurate quantification | Time-consuming, requires specialized equipment |
| Mass spectrometry | Identifies reaction products with high sensitivity | Highly specific, can detect intermediates | Complex sample preparation, expensive |
For routine analysis, the spectrophotometric assay is most commonly used due to its simplicity and ability to provide real-time kinetic data. This approach allows determination of key kinetic parameters such as Km, kcat, and the effects of inhibitors .
When performing activity assays, consider the following:
Optimize pH (typically above pH 8.0) and temperature conditions
Include appropriate controls for non-enzymatic reactions
Ensure linear response within the timeframe of measurement
Consider the effects of buffer components on enzyme activity
To comprehensively characterize the pH and temperature dependencies of histidinol dehydrogenase, employ the following methodology:
For pH dependence:
Prepare a series of buffers spanning the pH range 5.0-10.0 (typically at 0.5 pH unit intervals)
Conduct standard activity assays across this pH range
Plot relative activity versus pH to generate a pH-rate profile
Analyze the profile to identify the optimal pH and interpret the ionization states of catalytic residues
For temperature dependence:
Perform activity assays at temperatures ranging from 4°C to 60°C
Create two plots: an Arrhenius plot (ln(activity) versus 1/T) and a temperature-activity profile
From the Arrhenius plot, calculate the activation energy (Ea)
From the temperature-activity profile, determine the temperature optimum
The pH-rate profile will typically reveal ionizable groups critical for catalysis, while temperature studies provide insights into thermostability and the energy barriers of the reaction. For related enzymes in the histidine biosynthesis pathway, maximum catalysis has been observed above pH 8.0 .
Additionally, investigate the combined effects of pH and temperature, as they often exhibit interdependence. For example, the fraction of casein dissociation (in another enzyme system) varies significantly when measured at different temperatures (4°C, 20°C, and 30°C) across a pH range .
Researchers frequently encounter several challenges when expressing recombinant histidinol dehydrogenase in Acinetobacter systems:
| Challenge | Possible Causes | Troubleshooting Approach |
|---|---|---|
| Low expression levels | Weak promoter, codon bias, mRNA instability | Optimize promoter strength, codon usage, and consider fusion tags |
| Insoluble protein | Improper folding, aggregation | Reduce expression temperature, use solubility tags, optimize buffer conditions |
| Inactive enzyme | Improper folding, missing cofactors, incorrect post-translational modifications | Ensure NAD+ availability, verify protein structure, optimize purification protocol |
| Plasmid instability | Selection pressure, toxicity | Maintain antibiotic selection, use inducible systems, reduce metabolic burden |
| Contamination with host enzymes | Non-specific purification | Improve purification strategy, use affinity tags, increase washing stringency |
Evidence from expression studies indicates that while the lacZ reporter gene can be successfully expressed from vectors like pJL04, expression of the hisD gene from the same vector may not always be successful . This highlights the importance of vector selection and construct design when working with histidinol dehydrogenase.
To address these challenges, consider implementing a systematic optimization approach, testing multiple expression conditions in parallel and validating enzyme activity at each step.
When analyzing kinetic data for histidinol dehydrogenase, differentiating between effects on catalysis (kcat) and substrate binding (Km) provides crucial mechanistic insights:
For example, in the related enzyme ATP phosphoribosyltransferase (ATPPRT), replacing Mg2+ with Mn2+ enhanced kcat, suggesting that the chemical step limits the reaction rate . Additionally, the absence of a pre-steady-state burst of product formation indicates rate-limitation by the chemical step, while the presence of such a burst suggests product release as the rate-limiting step.
When faced with contradictory results in histidinol dehydrogenase research, apply this systematic analysis framework:
Examine methodological differences between studies:
Expression systems and construct designs
Purification methods and enzyme purity
Assay conditions (pH, temperature, buffer components)
Analytical techniques and their limitations
Consider biological variables:
Strain-specific differences in Acinetobacter
Genetic background effects on expression
Growth conditions affecting enzyme production
Potential post-translational modifications
Analyze technical factors:
Presence of inhibitors or activators in reagents
Enzyme stability during storage and assay
Equipment calibration and measurement precision
Statistical significance of observed differences
When interpreting results, remember that differences in experimental conditions can significantly impact enzyme behavior. For instance, in the related histidine biosynthesis enzyme ATPPRT, ADP unexpectedly showed higher kcat than ATP as substrate at 25°C, but only in the activated form of the enzyme (ATPPRT) and not in the non-activated form (HisG S) . Such nuanced effects highlight the importance of comprehensive testing under varied conditions.
Histidinol dehydrogenase represents a promising target for antimicrobial development, particularly against Acinetobacter species, for several reasons:
Essential metabolic function: As the catalyst for the final step in histidine biosynthesis, inhibition of histidinol dehydrogenase can prevent bacterial growth in histidine-limited environments, such as those encountered during infection.
Absence in humans: Humans lack the histidine biosynthesis pathway, making histidinol dehydrogenase an attractive selective target that minimizes potential host toxicity.
Proven druggability: Structure-based design approaches have successfully yielded potent inhibitors for fungal histidinol dehydrogenase with IC50 values as low as 3.17 μM , demonstrating the enzyme's amenability to inhibition.
Current research methodologies in this area include:
Structure-based virtual screening of compound libraries
Rational design of substrate analogs that compete for the active site
Fragment-based drug discovery targeting key binding pockets
Natural product screening for novel inhibitory scaffolds
The potential of this approach is highlighted by successful docking analysis of antifungal agents against Geotrichum candidum histidinol dehydrogenase, which led to the design of compounds with potent inhibitory activity . Similar strategies could be applied to Acinetobacter histidinol dehydrogenase, especially against multidrug-resistant strains.
The relationship between histidinol dehydrogenase and bacterial persistence in infection settings is complex and multifaceted. While direct evidence for hisD is limited in the provided search results, insights can be extrapolated from studies on related genes in the histidine biosynthesis pathway:
Upregulation during infection: Transcriptomic analysis has shown that another histidine biosynthesis gene, hisF, is significantly over-expressed in Acinetobacter baumannii during lung infection in mice (7.2-fold in the ATCC 17978 strain and 19.2-fold in the AbH12O-A2 clinical isolate) . This suggests that the entire histidine biosynthesis pathway, including hisD, may be upregulated during infection.
Auxotrophy and virulence: Deletion of histidine biosynthesis genes typically results in histidine auxotrophy, requiring external histidine for growth. Growth curve experiments with the ΔhisF mutant in minimal medium with and without histidine supplementation demonstrate this dependency . Similar experiments could be performed with hisD mutants to assess their growth characteristics and virulence potential.
Infection models: Experimental models using human alveolar epithelial cells (A549) have been employed to study the in vitro virulence of A. baumannii strains with mutations in histidine biosynthesis genes . These models allow for the assessment of bacterial persistence and virulence through evaluation of host cell viability post-infection.
For researchers investigating this relationship, methodologies such as transcriptomics, genetic knockouts, complementation studies, and infection models provide valuable tools for understanding the role of histidinol dehydrogenase in bacterial persistence and pathogenicity.
Histidinol dehydrogenase functions as part of an integrated metabolic pathway for histidine biosynthesis, which involves nine genes in total . Understanding the integration of histidinol dehydrogenase with other enzymes in this pathway provides insights into metabolic regulation and potential intervention points:
Sequential catalysis: The histidine biosynthesis pathway operates as a sequential series of enzymatic reactions, with histidinol dehydrogenase catalyzing the final step . The product of each enzyme serves as the substrate for the next, creating a tightly coupled metabolic flow.
Rate-limiting steps: ATP phosphoribosyltransferase (ATPPRT) catalyzes the first step of histidine biosynthesis in Acinetobacter baumannii and is often considered the rate-limiting enzyme in the pathway. The catalytic activity of this enzyme is subject to allosteric regulation, with the regulatory subunit HisZ binding to the catalytic subunit HisG S to form a hetero-octameric holoenzyme with enhanced catalytic activity .
Regulatory mechanisms: The histidine biosynthesis pathway is typically regulated by feedback inhibition, where the end product (histidine) inhibits the activity of the first enzyme in the pathway. This ensures that histidine production matches cellular needs.
Metabolic channeling: Evidence from related pathways suggests that the enzymes in the histidine biosynthesis pathway may form transient complexes to facilitate substrate channeling, enhancing metabolic efficiency and minimizing the loss of intermediates.
For researchers studying the integrated function of these enzymes, approaches such as metabolic flux analysis, enzyme complex characterization, and systems biology modeling can provide valuable insights into the coordinated operation of the histidine biosynthesis pathway in Acinetobacter species.