NADH-quinone oxidoreductase, also known as complex I or NDH-1, is an enzyme that catalyzes electron transfer from NADH to quinones, playing a vital role in the respiratory chain of various organisms . In Escherichia coli, NDH-1 is one of two distinct NADH dehydrogenases . The Acinetobacter sp. NADH-quinone oxidoreductase subunit I (NuoI) is a subunit of the NADH-quinone oxidoreductase I (NDH-1) . It connects the soluble fragment of NADH dehydrogenase I to inner membrane components .
NuoI plays a crucial role in the electron transfer process within the NDH-1 complex. It acts as a bridge, facilitating the movement of electrons between iron-sulfur clusters . Studies involving mutations of Cys residues that coordinate Fe/S clusters suggest that these clusters are important for maintaining the NDH-1 structure .
Dysfunction of the mitochondrial proton-translocating NADH-ubiquinone oxidoreductase (complex I) has been linked to neurodegenerative disorders like Parkinson's and Huntington's diseases . Introducing the single-subunit NADH dehydrogenase of Saccharomyces cerevisiae (Ndi1P) can serve as a substitute for complex I in mammalian cells, offering a potential method to correct complex I defects .
Quorum sensing (QS) is a communication system in bacteria . Inhibiting QS represents a strategy for combating bacterial pathogens without using antibiotics . Some compounds have demonstrated the ability to reduce biofilm formation in P. aeruginosa, showing anti-QS activity .
The sodium-pumping NADH: ubiquinone oxidoreductase (Na+-NQR) serves as the primary entry site for electrons into the respiratory chain and is the main ion pump . The evolution of the Na+-NQR complex may have involved functional divergence from its RNF homolog, the duplication of the rnf operon, the loss of the rnfB gene, and the recruitment of a reductase subunit of an aromatic monooxygenase .
KEGG: aci:ACIAD0738
STRING: 62977.ACIAD0738
The nuoI gene in Acinetobacter species typically exists within the nuo operon, which encodes the 14 subunits (nuoA through nuoN) of the proton-pumping NADH-quinone oxidoreductase (Complex I). In most Acinetobacter genomes, the nuo genes are arranged in a conserved order. The nuoI gene specifically codes for a critical iron-sulfur cluster-containing subunit that participates in electron transfer within the complex. Genomic analysis of clinical Acinetobacter isolates has revealed that while the respiratory chain components are generally conserved, sequence variations can occur particularly in areas affected by homologous recombination, which has been documented to occur across approximately 20% of Acinetobacter genomes .
Distinguishing between nuoI sequence variants requires a combination of molecular and bioinformatic approaches:
Perform whole genome sequencing of Acinetobacter isolates following established protocols similar to those used for tracking epidemic strains
Align nuoI sequences from multiple isolates using software like MUSCLE or ClustalW
Construct phylogenetic trees to visualize relationships between variants
Identify conserved and variable regions that may correlate with specific phenotypes
Genomic analysis of clinical Acinetobacter isolates has demonstrated that homologous recombination contributes significantly to genetic diversity . When analyzing nuoI variants, researchers should be aware that recombination events may affect interpretation of phylogenetic data. Similar considerations should be made as those used when analyzing the widespread recombination observed in epidemic Acinetobacter strains .
The relationship between nuoI and energy metabolism in multidrug-resistant (MDR) Acinetobacter strains is complex and may be influenced by several factors:
| Aspect | Relationship to MDR | Research Implication |
|---|---|---|
| Electron transport efficiency | May be altered in MDR strains | Measure respiratory rates in different resistance backgrounds |
| Energy requirements | Drug efflux pumps require energy | Investigate coupling between Complex I and efflux activity |
| Metabolic adaptation | Alternative respiratory pathways may be upregulated | Compare nuoI expression in drug-sensitive vs. resistant isolates |
| Inhibitor sensitivity | MDR strains may show altered sensitivity to Complex I inhibitors | Test respiratory chain inhibitors against resistant strains |
MDR Acinetobacter strains, particularly those belonging to clonal complex 92 (CC92), often carry multidrug efflux pumps such as abe and ade systems . These energy-dependent transporters require proton motive force, which is generated in part by the NADH-quinone oxidoreductase complex containing the nuoI subunit. Therefore, nuoI function may indirectly support antibiotic resistance mechanisms by providing energy for these efflux systems.
The optimal expression system for recombinant nuoI depends on research objectives and downstream applications:
| Expression System | Advantages | Limitations | Recommended Applications |
|---|---|---|---|
| E. coli pET System | High yield, established protocols | Potential inclusion body formation | Structural studies, antibody production |
| E. coli BL21(DE3) with pGEX | Fusion with GST improves solubility | GST tag may interfere with activity | Protein-protein interaction studies |
| Acinetobacter native expression | Proper folding, native modifications | Lower yield, more complex system | Functional studies requiring authentic structure |
| Cell-free systems | Rapid production, avoids toxicity | Higher cost, lower yield | High-throughput screening, difficult-to-express variants |
For functional studies, expression in E. coli C43(DE3) or C41(DE3) strains specifically designed for membrane protein expression may be advantageous. These strains can better accommodate proteins that affect respiratory chain function, minimizing toxic effects during expression.
Purification of recombinant nuoI presents several challenges:
Membrane association: Although nuoI is a peripheral membrane subunit, it often co-purifies with membrane components. Solution: Use detergents like n-dodecyl-β-D-maltoside (DDM) or digitonin in purification buffers.
Iron-sulfur cluster integrity: The iron-sulfur clusters in nuoI are sensitive to oxidation. Solution: Include reducing agents (5-10 mM DTT or 2-5 mM β-mercaptoethanol) in all buffers and work under anaerobic conditions when possible.
Protein instability: Isolated nuoI may be unstable outside its complex. Solution: Express with interacting partners or optimize buffer conditions (pH 7.0-8.0, 150-300 mM NaCl, 5-10% glycerol).
Activity loss during purification: Solution: Measure activity at each purification step and minimize exposure to harsh conditions.
When designing purification protocols, researchers should consider the high recombination capacity observed in Acinetobacter species , which may result in strain-specific nuoI variants with different biochemical properties requiring customized purification approaches.
Several complementary approaches can be used to measure recombinant nuoI activity:
NADH oxidation assay: Monitor NADH oxidation spectrophotometrically at 340 nm in the presence of appropriate electron acceptors like ubiquinone-1 or decylubiquinone.
Electron paramagnetic resonance (EPR) spectroscopy: Detect and characterize the iron-sulfur clusters in nuoI, providing information about their redox state and environment.
Artificial electron acceptor assays: Use ferricyanide, 2,6-dichlorophenolindophenol (DCIP), or other artificial electron acceptors to measure electron transfer activity.
Reconstitution assays: Incorporate purified nuoI into liposomes or nanodiscs with other Complex I subunits to measure activity in a more native-like environment.
Oxygen consumption assays: In reconstituted systems or whole cells expressing recombinant nuoI, measure oxygen consumption rates using a Clark-type electrode.
When designing activity assays, it's important to consider that nuoI functions as part of a larger complex. The genomic diversity observed in Acinetobacter species, including the extensive recombination documented in clinical isolates , may result in functional variations that can be detected through these assays.
NADH-quinone oxidoreductase subunit I (nuoI) plays a critical role in Acinetobacter metabolic adaptation through several mechanisms:
| Environmental Condition | Metabolic Role of nuoI | Observable Effects |
|---|---|---|
| Oxygen limitation | Modulation of respiratory chain efficiency | Altered NADH/NAD+ ratios |
| Nutrient scarcity | Energy conservation through optimal electron flow | Maintenance of proton motive force |
| Antibiotic pressure | Energy provision for efflux pumps | Contribution to multidrug resistance |
| Oxidative stress | Balancing electron flow to minimize ROS production | Protection against oxidative damage |
In clinical isolates, the nuoI function may be particularly important for adaptation to the hospital environment, where antimicrobial pressure is high. Genomic studies of Acinetobacter outbreaks have demonstrated that epidemic lineages like European Clone II (EC II) show evidence of ongoing adaptation to hospital environments , which may include optimizations of energy metabolism through modifications of respiratory chain components like nuoI.
The potential of nuoI as a drug target for combating multidrug-resistant Acinetobacter infections merits serious consideration for several reasons:
Essential function: As a component of the respiratory chain, nuoI is critical for energy production, making it an essential gene in most growth conditions.
Structural uniqueness: Bacterial Complex I has structural differences from human mitochondrial Complex I, potentially allowing for selective inhibition.
Link to resistance mechanisms: Energy-dependent efflux pumps like abe and ade systems, which are present in all Acinetobacter baumannii isolates studied , require the proton motive force generated in part by Complex I.
Limited bypass mechanisms: While alternative NADH dehydrogenases exist in some bacteria, they may not fully compensate for Complex I inhibition.
Researchers should consider that in clonal complex 92 (CC92) strains of A. baumannii, which show 100% multidrug resistance rates , targeting energy metabolism may provide a strategy to overcome existing resistance mechanisms. Target validation studies should include genetic knockdown/knockout of nuoI and assessment of resulting changes in antibiotic susceptibility.
The correlation between nuoI expression and virulence factors in pathogenic Acinetobacter strains involves complex regulatory networks:
Co-regulation with virulence genes: Under certain stress conditions, nuoI may be co-regulated with virulence factors through global regulators.
Energy provision for virulence factor production: Many virulence factors require significant energy for synthesis and export, linking nuoI function to virulence capability.
Adaptation to host environments: Modulation of respiratory chain function via nuoI may support adaptation to different host niches.
Biofilm formation: Energy metabolism through Complex I contributes to biofilm formation capacity, a key virulence trait.
Research methodologies to investigate these correlations should include:
Transcriptomic analysis comparing nuoI expression with virulence gene expression under different conditions
Metabolic flux analysis in wild-type and nuoI-modified strains
Assessment of virulence factor production in strains with altered nuoI expression
The genomic plasticity of Acinetobacter species, particularly their capacity for homologous recombination as documented in outbreak strains , may contribute to variability in the relationship between nuoI function and virulence traits.
Recombination has significantly influenced the evolution of nuoI in Acinetobacter species, contributing to genetic diversity and potentially functional adaptation:
Homologous recombination: Genomic studies have demonstrated that approximately 20% of the Acinetobacter genome is subject to recombination , potentially including regions containing respiratory chain components like nuoI.
Selective pressure: As a component of the essential respiratory machinery, nuoI is subject to selective pressures that may drive recombination events that optimize its function.
Species-specific variants: Recombination may contribute to the diversity of nuoI sequences observed across the Acinetobacter calcoaceticus-baumannii (ACB) complex.
Horizontal gene transfer: While the core nuoI function is likely conserved, flanking regions may be more subject to recombination, potentially affecting regulatory elements.
Researchers have observed that in Acinetobacter baumannii, genomic regions showing elevated recombination rates often contain genes encoding surface-exposed proteins or those involved in synthesis of cell-surface molecules . While nuoI is not a surface protein, its role in energy production may indirectly support adaptation of surface structures through complex metabolic networks.
Comparative genomics analysis of nuoI across different Acinetobacter clonal complexes can provide valuable insights:
Methodological approaches for comparative genomics of nuoI include:
Whole-genome sequencing of diverse isolates, similar to approaches used in outbreak investigations
Alignment of nuoI sequences and phylogenetic analysis, accounting for recombination
Analysis of selection signatures (dN/dS ratios) to identify regions under purifying or diversifying selection
Structural modeling to predict functional consequences of sequence variations
When interpreting comparative genomics data, researchers should consider that non-baumannii Acinetobacter calcoaceticus-baumannii (NB-ACB) complex species show different antimicrobial susceptibility profiles , which may correlate with specific variants or regulatory patterns of nuoI and other respiratory chain components.
Recombinant nuoI can serve as a valuable tool for studying respiratory chain inhibitors through several approaches:
In vitro binding studies: Purified recombinant nuoI can be used to screen potential inhibitors through binding assays (thermal shift assays, isothermal titration calorimetry, or surface plasmon resonance).
Structure-based drug design: High-resolution structures of recombinant nuoI can guide rational design of specific inhibitors targeting this subunit.
Activity assays: NADH oxidation assays with recombinant nuoI (either alone or reconstituted with other Complex I subunits) can assess inhibitor effects on electron transfer.
Resistance mutation mapping: Recombinant nuoI variants with specific mutations can help map resistance determinants to respiratory chain inhibitors.
Heterologous expression systems: Expression of Acinetobacter nuoI in model organisms can create platforms for inhibitor screening.
Experimental design considerations should include:
Appropriate controls to distinguish effects on nuoI from effects on other respiratory chain components
Comparison of inhibitor effects across nuoI variants from different Acinetobacter strains
Correlation between in vitro inhibition and effects on whole-cell growth and metabolism
Given the importance of respiratory function in supporting energy-dependent resistance mechanisms like efflux pumps, which are present in all A. baumannii isolates studied , inhibitors identified through these approaches may have potential applications against multidrug-resistant strains.
Studying interactions between nuoI and other respiratory chain components requires multifaceted approaches:
Co-immunoprecipitation: Using antibodies against tagged recombinant nuoI to pull down interacting partners, followed by mass spectrometry identification.
Crosslinking coupled with mass spectrometry: Chemical crosslinking of protein complexes followed by MS/MS analysis to identify interaction interfaces.
Two-hybrid systems: Modified bacterial or yeast two-hybrid systems adapted for membrane-associated proteins can identify binary interactions.
Blue native PAGE: Non-denaturing gel electrophoresis to visualize intact complexes containing nuoI and determine subcomplex compositions.
Cryo-electron microscopy: High-resolution structural analysis of reconstituted complexes containing recombinant nuoI.
FRET-based approaches: Fluorescently labeled nuoI and potential partners to monitor interactions in vitro or in vivo.
When designing interaction studies, researchers should consider the genomic context of nuoI and potential strain-specific variations. The extensive genomic recombination observed in Acinetobacter species may result in strain-specific interaction patterns that could influence respiratory chain assembly and function.
Site-directed mutagenesis provides a powerful approach to dissect nuoI structure-function relationships:
Target selection strategy:
Iron-sulfur cluster coordination sites (cysteine residues)
Conserved charged residues potentially involved in electron transfer
Residues at interfaces with other Complex I subunits
Residues differing between Acinetobacter strains with varying resistance profiles
Mutagenesis workflow:
Design primers containing desired mutations using overlap extension PCR methods
Introduce mutations into expression vectors using standard molecular biology techniques
Verify mutations by sequencing before proceeding with expression
Express and purify mutant proteins using identical conditions to wild-type
Functional characterization:
Compare enzyme kinetics between wild-type and mutant proteins
Assess structural integrity through CD spectroscopy or thermal stability assays
Evaluate electron transfer capacity using spectroscopic methods
Test assembly into larger subcomplexes using blue native PAGE
In vivo validation:
Complement Acinetobacter nuoI deletion strains with mutant variants
Assess effects on growth, respiration, and antimicrobial susceptibility
When interpreting mutagenesis results, researchers should consider that nuoI functions within a complex biological context. The extensive recombination and genetic diversity observed across Acinetobacter strains may provide natural variants that can inform targeted mutagenesis approaches.
Optimizing conditions for measuring electron transport activity of recombinant nuoI requires careful consideration of multiple parameters:
| Parameter | Recommended Range | Optimization Approach |
|---|---|---|
| pH | 7.2-7.5 | Test activity across pH range 6.5-8.0 in 0.2 pH unit increments |
| Buffer | HEPES or phosphate | Compare activity in different buffer systems at equivalent ionic strength |
| Temperature | 25-30°C | Determine temperature optimum and stability profile |
| Electron donor | NADH (100-200 μM) | Determine Km for NADH using Michaelis-Menten kinetics |
| Electron acceptor | Ubiquinone-1 (50-100 μM) | Compare artificial (ferricyanide, DCIP) vs. native (ubiquinone) acceptors |
| Detergent | DDM (0.01-0.05%) | Test different detergents for optimal activity preservation |
| Salt concentration | 50-150 mM NaCl | Determine ionic strength optimum |
| Reducing agents | 1-5 mM DTT | Test effect of different reducing agents on activity stability |
Methodological considerations:
Prepare all reagents fresh and degas buffers to minimize oxidative damage
Include appropriate controls including heat-inactivated enzyme
Measure initial rates before substrate depletion occurs
Consider using a stopped-flow apparatus for rapid kinetics measurements
Use multiple detection methods (spectrophotometric, fluorometric, polarographic) for validation
When establishing assay conditions, researchers should be aware that different Acinetobacter strains, particularly those from different clonal complexes like CC92 vs. non-CC92 , may show variations in optimal conditions reflecting their adaptation to different environments.
Comparative analysis of Acinetobacter nuoI with equivalent subunits from other pathogenic bacteria reveals important differences:
Research approaches for comparative studies:
Sequence alignment and phylogenetic analysis of nuoI across diverse bacterial species
Heterologous expression of Acinetobacter nuoI in model bacterial systems lacking native Complex I
Comparative structural modeling to identify unique features of Acinetobacter nuoI
Cross-species complementation studies to assess functional conservation
These comparative studies can leverage insights from genomic investigations of Acinetobacter strains to understand how respiratory chain components may contribute to the unique metabolic adaptability and antimicrobial resistance profiles of different bacterial pathogens.
Heterologous expression of Acinetobacter nuoI in model organisms with nuoI mutations offers valuable insights into functional conservation and species-specific adaptations:
Expression in E. coli nuoI mutants:
Transformation with Acinetobacter nuoI expression vectors
Assessment of respiratory function restoration
Growth rate comparison under different carbon sources
Measurement of proton-pumping efficiency
Methodological considerations:
Optimize codon usage for host organism expression
Use inducible promoters to control expression levels
Include appropriate targeting sequences if necessary
Consider co-expression with interacting partners
Expected outcomes:
Complete complementation suggests high functional conservation
Partial complementation indicates species-specific adaptations
No complementation may reveal incompatibility with host Complex I
Applications:
Development of model systems for inhibitor screening
Structure-function studies in well-characterized backgrounds
Investigation of species-specific nuoI variants from different Acinetobacter strains
When interpreting complementation studies, researchers should consider the extensive genetic diversity observed within Acinetobacter species . nuoI variants from different clonal complexes or species within the ACB complex may show different complementation capabilities, potentially correlating with their metabolic adaptations and resistance profiles.