KEGG: bwe:BcerKBAB4_5098
STRING: 315730.BcerKBAB4_5098
Bacillus weihenstephanensis NADH-quinone oxidoreductase subunit A (nuoA) is a 122-amino acid membrane protein component of the respiratory chain. Its primary sequence (MASVYENSYMIVLIFLLLGILLPVVALTLGKMLRPNKPSAAKATTYESGIEPFHDANIRFHARYYIFALLFVIFDVETLFLYPWAVAYDKLGLFALIEMLIFVVMLLVGLAYAWKKKVLQWL) contains predominantly hydrophobic residues that anchor it within the bacterial membrane . This protein functions as part of the NDH-1 complex, which is involved in the electron transport chain of many bacterial species, facilitating NADH oxidation and quinone reduction through the FAD cofactor .
While the nuoA protein maintains similar function across Bacillus species, B. weihenstephanensis nuoA exhibits adaptations that may reflect its psychrotolerant (cold-tolerant) nature. Comparative sequence analysis reveals subtle but significant differences in amino acid composition that potentially contribute to protein flexibility and function at lower temperatures. Unlike mesophilic Bacillus species, B. weihenstephanensis exhibits specific signature sequences in cold-adaptive genes and proteins, including those involved in respiratory functions . These adaptations are part of a broader metabolic adjustment that allows the organism to maintain energy production through the electron transport chain at temperatures as low as 7°C .
Recombinant expression of B. weihenstephanensis nuoA presents several methodological challenges due to its membrane-associated nature. Successful protocols typically involve:
Expression system selection: E. coli is the preferred heterologous host for nuoA expression
Solubilization strategies: Extraction requires careful membrane disruption with detergents
Purification approach: His-tag affinity chromatography followed by size-exclusion chromatography
Storage considerations: The purified protein requires stabilization with glycerol (typically 50%) and storage at -20°C/-80°C to preserve activity
Researchers should note that repeated freeze-thaw cycles significantly reduce protein integrity and function, necessitating aliquoting of purified protein .
To investigate nuoA interactions with quinone substrates, researchers can employ:
In silico docking studies: Using high-resolution structures (≤2.15Å) to model quinone binding poses and predict molecular interactions
Site-directed mutagenesis: Systematic modification of predicted quinone-binding residues to assess their contribution to function
Enzyme kinetics: Measuring NADH oxidation rates in the presence of various quinone substrates to determine specificity
Biophysical techniques: Isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) to quantify binding affinities
Recent in silico studies with related NDH-2 structures revealed that quinone binding occurs with remarkably few molecular interactions, primarily involving hydrophobic contacts with the quinone head group . The binding mode positions one carbonyl oxygen of the quinone to form a hydrogen bond with the N5 atom of the FAD cofactor .
To investigate nuoA's role in cold adaptation, researchers should employ a multi-faceted approach:
Temperature-dependent activity assays: Measure NADH oxidation rates across temperatures ranging from 4°C to 43°C
Comparative expression analysis: Quantify nuoA expression levels under various temperature conditions using RT-PCR
Mutant complementation studies: Express B. weihenstephanensis nuoA in mesophilic Bacillus strains to assess functional replacement
Structural dynamics investigation: Use hydrogen-deuterium exchange mass spectrometry to compare protein flexibility at different temperatures
This methodology should consider that B. weihenstephanensis exhibits optimal growth and enzyme activity at temperatures between 7-30°C, with significant metabolic changes occurring below 7°C .
To investigate potential nuoA roles in biofilm processes:
Biofilm growth assays: Compare wild-type and nuoA-deficient strains under various conditions
Nuclease activity assays: Since extracellular DNA is a key biofilm component, assess whether nuoA influences nuclease production using methods similar to those employed for NucB characterization
Gene expression analysis: Use RT-PCR to analyze nuoA expression changes during biofilm development stages
Microscopy techniques: Employ confocal microscopy with fluorescent probes to visualize respiratory activity within biofilm structures
When designing these experiments, consider that B. weihenstephanensis forms robust biofilms at lower temperatures (12-20°C), which may influence the expression and activity of respiratory chain components .
Recent genomic analyses have proposed B. weihenstephanensis as a later heterotypic synonym of Bacillus mycoides , necessitating careful consideration when interpreting nuoA research. Researchers should:
Use multilocus sequence typing (MLST) to accurately classify strains used in nuoA studies
Compare nuoA sequences between traditionally classified B. weihenstephanensis and B. mycoides strains
Evaluate whether observed functional differences correlate with psychrotolerant phenotype rather than species designation
Consider evolutionary perspectives: nuoA sequence conservation may reflect its essential respiratory function despite taxonomic reclassification
Research may need to be reinterpreted in light of evidence that psychrotolerance and specific signature sequences in 16S rRNA and cspA genes may not properly distinguish B. weihenstephanensis from some other B. cereus sensu lato members .
Comparative genomic approaches to nuoA evolution should:
Construct phylogenetic trees using nuoA sequences from multiple Bacillus species
Identify positive selection signatures in nuoA coding regions across temperature-diverse species
Analyze regulatory elements controlling nuoA expression across psychrotolerant and mesophilic strains
Examine horizontal gene transfer patterns in respiratory chain components
These approaches can reveal whether nuoA adaptations represent convergent evolution or vertical inheritance patterns. Current evidence suggests that psychrotolerant characteristics in B. weihenstephanensis represent specific niche adaptations rather than distant evolutionary divergence from related Bacillus species .
To understand nuoA's role within broader cellular metabolism:
Metabolic flux analysis: Use isotope-labeled substrates to track carbon flow through respiratory and fermentative pathways at different temperatures
Systems biology modeling: Develop mathematical models integrating transcriptomic and proteomic data for respiratory chain components
Comparative multi-omics: Analyze how nuoA expression correlates with global metabolic shifts during cold adaptation
Protein-protein interaction studies: Identify nuoA interaction partners beyond the immediate NDH complex
This integrated approach should consider that B. weihenstephanensis exhibits unique metabolic adaptations, including melanin-like pigment production and cereulide production at temperatures as low as 8°C in some strains .
When encountering difficulties with nuoA expression:
Expression system optimization:
Test multiple E. coli strains (BL21(DE3), C41(DE3), C43(DE3))
Vary induction conditions (temperature, IPTG concentration)
Consider alternative expression systems (B. subtilis, cell-free)
Fusion tag strategies:
Membrane protein-specific approaches:
Use mild detergents (DDM, LDAO) for extraction
Consider bicelles or nanodiscs for functional studies
Test different buffer compositions to maintain stability
Reconstitution methods:
To ensure properly folded nuoA:
Researchers should note that properly folded nuoA shows >90% purity by SDS-PAGE and maintains activity when stored appropriately .
When encountering data inconsistencies:
Strain verification protocols:
Standardized expression conditions:
Establish consistent cultivation temperatures
Standardize growth media composition
Define harvest points based on growth phase
Data normalization strategies:
Use internal reference proteins
Apply statistical methods appropriate for between-strain comparisons
Report experimental conditions comprehensively
Consideration of genetic context:
This approach acknowledges that B. weihenstephanensis strains show genetic diversity that might influence nuoA expression and function.
As NDH-2 proteins are absent in mammals but essential in many bacteria, nuoA represents a promising antimicrobial target . Research approaches should include:
High-throughput screening strategies:
In silico screening using the high-resolution NDH-2 structure
Biochemical assays measuring NADH oxidation inhibition
Whole-cell assays with B. weihenstephanensis
Structure-based drug design:
Focus on the quinone-binding site, which has limited molecular interactions
Explore allosteric sites that may affect nuoA function
Consider species selectivity to target specific pathogens
Resistance development analysis:
Assess mutation frequencies in target sites
Evaluate horizontal gene transfer potential
Monitor compensatory metabolic pathways
Delivery approaches for membrane-targeted compounds:
Nanoparticle formulations
Prodrug strategies
Combination approaches with membrane permeabilizers
B. weihenstephanensis nuoA research has broader implications for understanding bacterial adaptation:
Cold adaptation mechanisms:
Investigate how nuoA structural modifications maintain function at low temperatures
Explore energy conservation strategies in psychrotolerant bacteria
Compare with other extremophile respiratory adaptations
Environmental resilience connections:
Evolutionary perspectives:
Analyze horizontal vs. vertical acquisition of respiratory chain adaptations
Compare nuoA sequences across psychrotolerant species from diverse environments
Evaluate convergent evolution in cold-adapted respiratory components
This research could provide insights applicable to bioremediation, food safety, and biotechnology applications involving cold-adapted organisms.
Integrative systems approaches offer powerful tools for nuoA research:
Multi-omics integration strategies:
Combine transcriptomics, proteomics, and metabolomics data
Model metabolic flux changes at different temperatures
Analyze regulatory networks controlling respiratory processes
Computational modeling approaches:
Develop genome-scale metabolic models incorporating temperature effects
Simulate electron transport chain dynamics under varying conditions
Predict metabolic adaptations to respiratory chain perturbations
Single-cell analysis technologies:
Investigate cell-to-cell variability in nuoA expression
Examine respiratory heterogeneity within bacterial populations
Study nuoA dynamics during lifecycle transitions
Synthetic biology applications:
Engineer optimized nuoA variants for biotechnological processes
Design minimal respiratory systems incorporating modified nuoA
Develop cold-adapted biocatalysts based on psychrotolerant principles
These approaches could reveal how nuoA contributes to the remarkable adaptability of B. weihenstephanensis across temperature ranges and environmental conditions.