NDH-1 facilitates electron transfer from NADH to quinones within the respiratory chain, utilizing FMN and iron-sulfur (Fe-S) centers as intermediaries. In this organism, ubiquinone is the presumed immediate electron acceptor. This redox reaction is coupled with proton translocation, resulting in four hydrogen ions translocated across the cytoplasmic membrane for every two electrons transferred. This process conserves redox energy as a proton gradient.
KEGG: bmj:BMULJ_02235
STRING: 395019.BMULJ_02235
Burkholderia multivorans is a rod-shaped, gram-negative bacterium belonging to the Burkholderia cepacia complex (BCC). It has emerged as an opportunistic pathogen in patients with cystic fibrosis (CF) and immunocompromised individuals, capable of causing life-threatening infections . B. multivorans is particularly significant for research because:
It is one of the predominant BCC species infecting the lungs of CF patients
It causes chronic respiratory infections that are difficult to eradicate
Despite infection control measures to reduce BCC spread, B. multivorans infections continue to emerge
It can be found in soil, water, and industrial environments, suggesting environmental acquisition
It demonstrates genomic adaptability during chronic infection in the CF lung
Understanding B. multivorans pathogenesis mechanisms, including its respiratory components like nuoA, is crucial for developing effective therapeutic strategies against these challenging infections.
NADH-quinone oxidoreductase, also known as Complex I, is a multisubunit enzyme that serves as an entry point to the electron transport chain in bacteria and eukaryotic mitochondria . This enzyme:
Catalyzes the electron transfer from NADH to quinone through a chain of iron-sulfur clusters
Is composed of 14 core (conserved) subunits in bacteria, including nuoA through nuoN
Contains both peripheral and membrane domains, with the peripheral domain catalyzing electron transfer and the membrane domain facilitating proton translocation
Specifically, nuoA (NADH-quinone oxidoreductase subunit A):
Is encoded by the nuoA gene, typically found in a co-localized operon with other nuo genes
Contains approximately 119 amino acids in Burkholderia species
Plays a role in the structural integrity and function of the membrane domain
Contains transmembrane helices that form part of the proton translocation machinery
The precise function of nuoA is still being investigated, but its conservation across bacterial species suggests its essential role in respiratory metabolism.
The NADH-quinone oxidoreductase in B. multivorans shares similarities with homologous enzymes in other bacterial species but also exhibits distinctive features:
Similarities:
Contains the 14 core subunits (NuoA to NuoN) found in most bacterial Complex I enzymes
Functions in the respiratory electron transport chain
Differences:
Phylogenetic analysis of concatenated Complex I subunits reveals five main clades (A-E)
Different bacterial Complex I enzymes can have varying subunit lengths, particularly in NuoE and NuoG
Some bacterial species have fused NuoC and NuoD subunits, though this feature is predominantly found in clade E enzymes
While the search results don't provide specific comparative data for B. multivorans nuoA, research on Complex I phylogeny indicates that these enzymes likely evolved with their host organisms, with limited evidence of horizontal gene transfer between different bacterial groups .
Based on approaches used for similar proteins, the following methodology is recommended for cloning and expressing recombinant B. multivorans nuoA:
Gene Cloning:
Design primers targeting the B. multivorans nuoA gene with appropriate restriction sites
Amplify the gene using high-fidelity PCR from genomic DNA
Clone the amplified gene into an expression vector with an inducible promoter (such as PBAD)
For purification purposes, consider adding a C-terminal 6xHis-tag as demonstrated for other respiratory proteins
Expression System:
For homologous expression: Use a B. multivorans host strain with the genomic copy of the target gene deleted
For heterologous expression: E. coli is commonly used, but successful expression of Burkholderia proteins often requires optimization
Expression Protocol:
Transform the expression vector into the selected host strain
Grow transformants in appropriate media (LB or minimal media) with required antibiotics
Induce expression at mid-log phase using L-arabinose (for PBAD promoter)
Optimize induction conditions (temperature, inducer concentration, duration)
Harvest cells and extract membrane proteins using detergents (dodecyl maltoside has been successful for other respiratory proteins)
Purification Strategy:
Solubilize membrane fractions with appropriate detergents
Perform affinity chromatography using Ni-NTA for His-tagged proteins
Consider additional purification steps (ion exchange, size exclusion)
This approach is based on successful strategies used for related proteins, though specific optimization for B. multivorans nuoA may be necessary.
Verifying the functional activity of recombinant nuoA presents challenges because nuoA is just one subunit of the multisubunit Complex I. The following approaches can be used to assess functionality:
Complementation Studies:
Create a nuoA deletion mutant in B. multivorans using CRISPR/Cas9-based genome editing
Characterize the phenotype of the deletion mutant (growth rates, NADH oxidation capacity)
Complement the mutant with the recombinant nuoA gene
Restoration of wild-type phenotype indicates functional activity
Membrane Integration Assessment:
Use fluorescent protein fusions (e.g., GFP) to verify correct cellular localization
Perform subcellular fractionation to confirm membrane association
Use protease protection assays to determine proper topology
Complex I Assembly Analysis:
Use Blue Native PAGE to analyze intact Complex I assembly
Compare protein complexes between wild-type, nuoA deletion, and complemented strains
Western blotting with antibodies against other Complex I subunits can assess co-assembly
Functional Assays:
Measure NADH oxidation rates in membrane preparations (720 electrons per second has been reported for Na+-NQR from V. cholerae)
Assess sensitivity to Complex I inhibitors (rotenone, pyridaben)
Determine proton pumping activity using pH-sensitive fluorescent dyes or proteoliposome assays
Monitor electron transfer through Fe-S clusters using EPR spectroscopy
When interpreting results, remember that the absence of functional complementation might not necessarily indicate that the recombinant protein itself is inactive, but could reflect issues with integration into the full Complex I structure.
Recent advances in genome editing technologies have significantly improved our ability to manipulate the B. multivorans genome for studying genes like nuoA:
CRISPR/Cas9-Based System:
A modified two-plasmid CRISPR/Cas9 system has been developed specifically for B. multivorans :
Components:
pCasPA plasmid: Expresses Cas9 endonuclease and λ-Red system proteins (Exo, Gam, Bet)
pACRISPR plasmid: Expresses sgRNA and carries the homology-directed repair (HDR) template
Protocol Overview:
Design a 20-nucleotide spacer targeting nuoA
Create repair arms (0.6-0.8 kb each) flanking nuoA
Clone these components into pACRISPR
Transform both plasmids into B. multivorans
Induce with L-arabinose to express Cas9 and λ-Red proteins
Select transformants and verify editing
Remove plasmids using sacB-based counterselection or growth at 18-20°C with serial passages
Advantages:
Enables precise, unmarked gene deletions in a single step
Allows targeted gene insertions (e.g., reporter genes like GFP)
Higher efficiency than traditional allelic exchange methods
Works in multiple B. multivorans strains (ATCC 17616, P0213-1, BM1)
Has been successfully applied to delete multiple genes (rpfR, bceF, cepR, bcsB)
Traditional Allelic Exchange:
This method is still relevant but more time-consuming:
Create a construct with upstream and downstream homology regions
Introduce into B. multivorans to form merodiploids
Resolve merodiploids through a second homologous recombination event
Screen for gene deletion using PCR or phenotypic assays
The CRISPR/Cas9 approach has demonstrated superior efficiency for B. multivorans genome editing and is recommended for nuoA studies.
While specific structural studies of B. multivorans nuoA are not available in the search results, information can be extrapolated from related systems:
Key Structural Features:
Transmembrane helices: Typically 3 transmembrane segments in bacterial nuoA proteins
Conserved residues: Several charged and polar residues in the transmembrane regions
Protein-protein interaction motifs: For association with other Complex I subunits
Loop regions: May participate in conformational changes during the catalytic cycle
Potential Critical Mutations:
Based on studies of other respiratory complexes, several types of mutations might affect nuoA function:
Transmembrane Helix Disruptions:
Mutations affecting hydrophobic residues in transmembrane regions
Proline or glycine substitutions that disrupt helix structure
Charged residue insertions in transmembrane domains
Interface Residue Alterations:
Mutations at subunit interaction surfaces
Changes to residues involved in quinone binding
Proton Channel Modifications:
Mutations of residues contributing to proton translocation
Alterations to polar or charged residues in key positions
Studies on electron transfer in the NuoI (TYKY) subunit of E. coli NDH-1 have shown that mutations to cysteine residues coordinating iron-sulfur clusters significantly impact Complex I structure and function . Similar critical residues likely exist in nuoA, though they would serve different functions given nuoA's location in the membrane domain.
Experimental approaches using site-directed mutagenesis coupled with the CRISPR/Cas9 system described for B. multivorans would be valuable for systematic analysis of nuoA structure-function relationships .
B. multivorans demonstrates ongoing evolution during chronic colonization of CF lungs, with potentially significant implications for nuoA and respiratory function:
Evolutionary Patterns in Chronic Infection:
B. multivorans accumulates approximately 2.7 SNPs/year during chronic infection
Different lineages show variable mutation rates; some sub-populations mutate at almost double the rate of others (5.3 vs. 2.7 SNPs/year)
Mutations in DNA repair mechanisms contribute to hypermutable phenotypes
Antibiotic selective pressure influences the evolution trajectory
Potential Adaptations in Respiratory Genes:
While nuoA-specific adaptations aren't detailed in the search results, respiratory adaptation might include:
Metabolic Shifting:
Mutations affecting the efficiency of electron transport
Adaptations to microaerobic conditions in CF mucus
Shifts in energy production pathways
Resistance Mechanisms:
Alterations that reduce ROS production by the respiratory chain
Changes that accommodate membrane structure modifications in response to antibiotics
Host Interaction:
Modifications that reduce inflammatory responses to bacterial components
Adaptations to the unique nutrient environment of CF lungs
Research Approaches:
To study nuoA evolution specifically:
Perform longitudinal genomic sequencing of B. multivorans isolates from CF patients
Compare nuoA sequences between early and late infection isolates
Conduct functional studies of evolved variants using the CRISPR/Cas9 system
Analyze selective pressures on respiratory genes during antibiotic treatment
This research would provide insights into how respiratory adaptations contribute to B. multivorans persistence in the challenging CF lung environment.
Research into B. multivorans nuoA and Complex I could inform novel therapeutic approaches for treating these challenging infections:
Potential Therapeutic Strategies:
Complex I Inhibitors:
Alternate Respiratory Pathways:
Anti-virulence Approaches:
If respiratory adaptation contributes to virulence, targeting these adaptations could reduce pathogenicity
Compounds that don't kill bacteria but reduce fitness in the host might face less selective pressure
Combination Therapies:
Targeting respiratory function alongside other pathways might enhance existing antibiotics
Understanding metabolic dependencies could reveal synergistic drug combinations
Clinical Considerations:
B. multivorans infections in CF patients are notoriously difficult to eradicate
For meningitis caused by B. multivorans, trimethoprim/sulfamethoxazole has been effective
Any therapeutic targeting respiratory function must consider the complex environment of CF lungs
This research area highlights the importance of basic research into bacterial physiology for informing new therapeutic approaches against antibiotic-resistant pathogens.
The relationship between respiratory function (including nuoA) and bacterial virulence is complex and not fully characterized in B. multivorans, but several connections can be hypothesized:
Energy Provision for Virulence:
Efficient respiratory metabolism provides ATP for various virulence mechanisms
Exotoxin production and secretion systems require significant energy
Motility and biofilm formation depend on adequate energy supply
Adaptation to Host Environments:
CF lungs present oxygen-limited, nutrient-rich environments
Metabolic flexibility, potentially involving respiratory chain modifications, would be advantageous
B. multivorans shows evidence of adaptive evolution during chronic infection
Resistance to Host Defense Mechanisms:
Respiratory chain function can influence bacterial responses to oxidative stress
Complex I can be both a source and target of reactive oxygen species
Adaptation of respiratory components may help evade host immune responses
Biofilm Formation:
Recent research has targeted several genes in B. multivorans using CRISPR/Cas9, including rpfR, bceF, and bcsB
These genes are involved in biofilm formation and virulence regulation
The relationship between respiratory function and biofilm metabolism represents an intriguing area for investigation
Research Approaches:
Create nuoA deletion or modification mutants using CRISPR/Cas9
Assess virulence in appropriate models (G. mellonella or mouse models)
Examine biofilm formation capacity with respiratory chain modifications
Investigate persistence under antibiotic pressure
Understanding these relationships could reveal new approaches to combat B. multivorans infections by targeting metabolic dependencies rather than using traditional antibiotics.
Understanding the relationship between nuoA variations and clinical outcomes represents an advanced research question requiring integration of genomic, proteomic, and clinical data:
Current Knowledge:
B. multivorans shows significant genomic evolution during chronic infection
Different sequence types (STs) of B. multivorans have been associated with varying degrees of transmissibility and virulence
Globally distributed lineages (e.g., ST-21, ST-375) have been identified in both clinical and environmental isolates
Genomic adaptations in chronic infection accumulate at variable rates (2.7-5.3 SNPs/year)
Research Approaches to Address This Question:
Genomic Analysis:
Sequence nuoA and the complete nuo operon from clinical isolates
Identify single nucleotide polymorphisms and structural variations
Compare with reference strains and environmental isolates
Correlate with patient metadata (disease severity, lung function, treatment response)
Functional Characterization:
Clinical Correlation:
Track patient outcomes longitudinally alongside bacterial evolution
Assess whether specific nuoA variants correlate with:
Disease progression rates
Response to antibiotic treatment
Inflammatory markers
Multi-omics Integration:
Combine genomic, transcriptomic, and proteomic data
Assess how nuoA variations affect expression patterns of other genes
Identify compensatory mechanisms that may influence outcomes
This type of research would require collaborative efforts between microbiologists, clinicians, and bioinformaticians, with careful consideration of patient privacy and ethical implications.
Producing and purifying nuoA presents several technical challenges that researchers should anticipate:
Expression Challenges:
Membrane Protein Expression:
NuoA is an integral membrane protein with multiple transmembrane segments
Overexpression often leads to misfolding, aggregation, or toxicity
Inclusion bodies formation is common with membrane proteins
Host Selection:
Expression Conditions:
Induction conditions (temperature, inducer concentration) need careful optimization
Reduced expression rates often improve proper membrane insertion
Co-expression with chaperones may improve folding
Purification Challenges:
Detergent Selection:
Complex Stability:
NuoA normally exists as part of a multisubunit complex
Isolation may destabilize the protein structure
Consider purifying larger subcomplexes rather than individual subunits
Functional Assessment:
Isolated nuoA may not display measurable activity outside its native complex
Reconstitution into proteoliposomes might be necessary
Structural integrity verification is essential (circular dichroism, thermal stability assays)
Solutions and Approaches:
Use fusion partners that enhance membrane targeting and solubility
Consider nanodiscs or other membrane mimetics for stabilization
Employ mild solubilization conditions and rapid purification protocols
Verify protein identity using mass spectrometry techniques
Consider co-expression strategies if individual subunit expression fails
These technical challenges explain why structural studies of complete bacterial Complex I have been limited, with most insights coming from larger model systems.
Investigating protein-protein interactions within Complex I requires specialized techniques adapted for membrane proteins:
Genetic Approaches:
Synthetic Lethality:
Suppressor Mutation Analysis:
Identify second-site suppressors that restore function to nuoA mutants
Map these to potential interaction partners
Verify interactions through targeted mutagenesis
Biochemical Methods:
Crosslinking Studies:
Use chemical or photo-crosslinkers to capture transient interactions
Identify crosslinked partners through mass spectrometry
Site-specific crosslinkers can map interaction interfaces
Co-purification Approaches:
Tagged nuoA can pull down interaction partners
Sequential purification with differently tagged subunits can identify subcomplexes
Quantitative proteomics can assess interaction strength
Structural Biology Techniques:
Cryo-electron Microscopy:
Suitable for large membrane protein complexes
Can reveal the architectural organization of the complete Complex I
Requires purification of intact complexes in sufficient quantities
Förster Resonance Energy Transfer (FRET):
Label suspected interaction partners with fluorophore pairs
Measure energy transfer as an indicator of proximity
Can be performed in native membrane environments
Hydrogen-Deuterium Exchange Mass Spectrometry:
Identifies protected regions that may represent interaction interfaces
Compatible with membrane proteins when appropriate detergents are used
Provides dynamic information about conformational changes
Computational Approaches:
Molecular dynamics simulations of subunit interactions
Coevolution analysis to identify co-varying residues between subunits
Homology modeling based on related bacterial Complex I structures
These approaches can be combined to build a comprehensive understanding of nuoA's interactions within the B. multivorans Complex I architecture.
In the absence of direct crystallographic data, several complementary approaches can be used to model B. multivorans nuoA structure and function:
Homology Modeling:
Template Selection:
Identify homologous subunits from structurally characterized bacterial Complex I
Recent cryo-EM structures from E. coli and Thermus thermophilus provide excellent templates
Assess sequence identity/similarity to evaluate model quality expectations
Model Building:
Use specialized tools for membrane protein modeling (e.g., MODELLER with membrane-specific scoring functions)
Pay special attention to transmembrane helix predictions
Refine models using molecular dynamics with membrane mimetics
Model Validation:
Assess stereochemical quality using tools like PROCHECK
Validate transmembrane topology predictions with experimental data
Cross-validate with evolutionary conservation data
Integrative Structural Biology:
Molecular Dynamics Simulations:
Embed modeled structures in appropriate lipid bilayers
Simulate behavior in membrane environments
Assess stability and conformational changes
Model potential proton translocation pathways
Integration with Experimental Data:
Use the CRISPR/Cas9 system for B. multivorans to generate targeted mutations for model validation
Express variants with reporter tags to assess membrane topology
Correlate structural predictions with functional measurements
This integrated approach can provide valuable insights even without crystallographic data and generate testable hypotheses about nuoA structure and function.