Nham_2004 is encoded in the genome of Nitrobacter hamburgensis X14, a chemolithoautotrophic soil bacterium that oxidizes nitrite to nitrate. Key genomic insights include:
Chromosomal Localization: The gene resides on the 4.4 Mbp chromosome, which harbors 20% pseudogenes and paralogs, indicating evolutionary divergence .
Core Genome Analysis: Nham_2004 is part of the Nitrobacter "subcore" genome—116 genes shared across Nitrobacter species but absent in related genera like Bradyrhizobium and Rhodopseudomonas .
Plasmid Conservation: A 28-kb "autotrophic island" on the largest plasmid (pPB13) includes homologs of Nham_2004 in other Nitrobacter species, suggesting conserved but functionally uncharacterized roles .
| Strain | Genome Size (Mbp) | Pseudogenes | Paralogs | Plasmids |
|---|---|---|---|---|
| N. hamburgensis X14 | 4.4 | 347 | 634 | 3 |
| N. winogradskyi Nb-255 | 3.4 | 21 | 283 | 0 |
Membrane proteins like Nham_2004 pose unique challenges:
Expression Systems: Optimized in E. coli for high yield and cost-effectiveness, though insect or mammalian systems may better retain post-translational modifications .
Detergent Compatibility: Requires nonionic detergents for solubilization and stability during mass spectrometry or structural studies .
Storage Sensitivity: Repeated freeze-thaw cycles degrade the protein; glycerol supplementation (50%) improves long-term stability .
While Nham_2004's specific biochemical role remains uncharacterized, its recombinant form enables:
Structural Studies: As an integral membrane protein, it may influence membrane stiffness—a property critical for cellular mechanics .
Evolutionary Insights: Its conservation across Nitrobacter species suggests roles in nitrite oxidation or mixotrophic metabolism .
Biotechnological Applications: Potential use in bioengineering nitrification pathways or studying protein-lipid interactions .
Functional Annotation: No interacting partners or pathways are currently linked to Nham_2004 .
Structural Dynamics: Atomic-level resolution via cryo-EM or X-ray crystallography is needed to elucidate its mechanism.
Ecological Role: Links between Nham_2004 and Nitrobacter’s soil nitrification efficiency remain unexplored .
KEGG: nha:Nham_2004
STRING: 323097.Nham_2004
The Nham_2004 protein exhibits classic membrane protein characteristics with hydrophobic regions that facilitate membrane integration. Analysis of the amino acid sequence reveals several transmembrane helices that anchor the protein within the cell membrane, containing both hydrophobic and charged residues that determine its orientation and function.
The protein demonstrates high conservation of certain motifs when compared to other proteins in the UPF0060 family, suggesting functional importance of these regions. The recombinant version includes an N-terminal His-tag, which facilitates purification while maintaining the structural integrity of the native protein. Structural analysis indicates potential interaction sites that may be involved in protein-protein interactions or substrate binding.
The standard method for expressing Nham_2004 involves E. coli-based expression systems, which have been optimized for membrane protein production. When designing experimental approaches for expression, researchers should consider the following methodology:
For optimal expression, consider the following protocol:
Transform expression plasmid containing His-tagged Nham_2004 into E. coli strain
Culture cells at 37°C until OD₆₀₀ reaches 0.6-0.8
Induce with IPTG (0.1-0.5 mM)
Reduce temperature to 18-25°C for overnight expression
Harvest cells and isolate membranes via differential centrifugation
Solubilize with appropriate detergent (DDM, LDAO, or similar)
This methodological approach addresses the challenges inherent to membrane protein expression by mitigating toxicity through temperature adjustment and optimizing folding conditions.
Purification of membrane proteins requires careful consideration of detergents and buffer conditions to maintain structural integrity. For Nham_2004, the following methodological workflow is recommended:
Membrane Extraction: After cell lysis, isolate membrane fractions through ultracentrifugation (100,000 × g for 1 hour).
Solubilization: Select detergents based on protein stability and downstream applications:
Mild detergents (DDM, LDAO) preserve activity but may reduce yield
Stronger detergents (SDS, Triton X-100) increase yield but may compromise structure
Affinity Purification: Utilize the His-tag with Ni-NTA or similar resins:
Binding: 20 mM Tris-HCl pH 8.0, 300 mM NaCl, 20 mM imidazole, 0.05% selected detergent
Washing: Increasing imidazole (50-70 mM) to remove non-specific binding
Elution: 250-300 mM imidazole gradient
Secondary Purification: Size exclusion chromatography to remove aggregates:
Buffer: 20 mM Tris-HCl pH 7.5, 150 mM NaCl, detergent below CMC
Column: Superdex 200 or equivalent
Storage Conditions: For long-term stability, lyophilization with 6% trehalose in Tris/PBS-based buffer at pH 8.0 is recommended. Upon reconstitution, add 5-50% glycerol (final concentration) and store as aliquots at -20°C/-80°C to prevent freeze-thaw cycles.
This methodological approach maximizes protein activity while ensuring sufficient purity for downstream applications such as functional assays or structural studies.
Reconstitution of Nham_2004 into membrane mimetic systems requires careful consideration of lipid composition and reconstitution methods. The following methodological approach is recommended:
Liposome Preparation:
Prepare lipid mixture (typically POPC:POPE:POPG at 7:2:1 ratio)
Dry lipids under nitrogen gas and vacuum
Rehydrate in reconstitution buffer (20 mM HEPES pH 7.4, 100 mM KCl)
Sonicate or extrude to form uniform liposomes
Protein Incorporation:
Mix purified Nham_2004 with liposomes at protein:lipid ratio of 1:100 to 1:200
Add detergent to destabilize liposomes (typically below CMC)
Remove detergent via Bio-Beads SM-2 or dialysis
Separate proteoliposomes by ultracentrifugation
Quality Assessment:
Verify incorporation using freeze-fracture electron microscopy
Assess protein orientation using protease protection assays
Confirm functionality through appropriate activity assays
For nanodiscs or other membrane mimetics, adjust the protocol accordingly, using appropriate scaffold proteins (MSP1D1) and optimized protein:lipid:scaffold ratios.
Functional characterization of Nham_2004 provides critical insights into the ecological niche of Nitrobacter hamburgensis. This membrane protein likely plays a role in the organism's adaptation to its environment through one or more of the following mechanisms:
Nutrient Acquisition: May facilitate transport of specific substrates across the membrane, contributing to N. hamburgensis' mixotrophic capabilities.
Energy Conservation: Could participate in electron transport chains related to nitrite oxidation, a key energy conservation mechanism in this organism.
Environmental Sensing: Potential involvement in signaling pathways that detect environmental conditions and trigger appropriate metabolic shifts.
Research approaches to investigate these functions should include:
Knockout studies to assess phenotypic changes in different growth conditions
Protein-protein interaction assays to identify binding partners
Comparative genomics with related species that lack nitrite oxidation capabilities
N. hamburgensis thrives in environments with both nitrite and organic carbon sources, achieving optimal growth under mixotrophic conditions. Understanding Nham_2004's function may help explain the unique ecological adaptations that allow N. hamburgensis to outcompete other organisms in specific niches within nitrogen-cycling environments.
Investigating Nham_2004's potential role in membrane transport requires a multifaceted experimental design strategy. The following methodological framework is recommended:
Reconstitution Transport Assays:
Prepare proteoliposomes with purified Nham_2004
Create ionic/substrate gradient across the membrane
Measure flux of potential substrates using radioactive tracers or fluorescent probes
Compare with control liposomes lacking protein
Electrophysiological Measurements:
Incorporate protein into planar lipid bilayers
Apply voltage clamp techniques to measure current
Test various ions/substrates to determine specificity
Analyze channel kinetics and gating properties
Structure-Function Analysis:
Generate site-directed mutants of conserved residues
Assess transport activity of mutants
Correlate functional changes with structural elements
In vivo Transport Studies:
Develop fluorescent substrates that change properties upon transport
Express Nham_2004 in transport-deficient cell lines
Monitor real-time transport in live cells
| Variable | Range to Test | Measurement Method | Expected Outcome |
|---|---|---|---|
| pH | 5.5-8.5 | pH-sensitive probes | Optimal transport at physiological pH (7.0-7.5) |
| Temperature | 15-45°C | Temperature-controlled chamber | Highest activity at 30-37°C |
| Substrate concentration | 0.1-10 mM | Isotope tracer uptake | Michaelis-Menten kinetics |
| Membrane potential | -120 to +60 mV | Voltage clamp | Voltage-dependent transport |
This experimental design integrates multiple complementary approaches, allowing researchers to triangulate evidence from different methodologies to establish the transport function of Nham_2004.
Comparative genomics and evolutionary analysis provide powerful frameworks for elucidating Nham_2004's function by placing it in a broader biological context. This methodological approach should include:
Phylogenetic Analysis:
Identify Nham_2004 homologs across diverse bacterial species
Construct phylogenetic trees to visualize evolutionary relationships
Correlate protein conservation with organism metabolic capabilities
Identify evolutionary patterns associated with nitrite oxidation
Synteny Analysis:
Examine genomic context of Nham_2004 and its homologs
Identify conserved gene neighborhoods that suggest functional relationships
Compare chromosomal vs. plasmid localization across species
Domain and Motif Analysis:
Identify conserved functional domains and motifs
Compare with experimentally characterized proteins from other organisms
Predict functional sites based on evolutionary conservation patterns
Selection Pressure Analysis:
Calculate dN/dS ratios to identify sites under positive selection
Identify conserved residues that may be functionally critical
Map these sites to structural models to predict functional regions
The Nitrobacter "subcore" genome, containing genes unique to this genus compared to close relatives like Bradyrhizobium and Rhodopseudomonas, offers particular insight. This subcore includes genes for nitrite oxidoreductase, cytochromes associated with dissimilatory nitrite reductase, and regulatory elements. Determining whether Nham_2004 belongs to this subcore and analyzing its evolutionary trajectory can provide critical clues about its role in Nitrobacter's specialized metabolism.
Structural studies of membrane proteins like Nham_2004 present significant technical challenges. The following methodological approaches can help overcome these obstacles:
Solution: Screen multiple detergents and lipid compositions systematically
Methodology: Use dynamic light scattering to monitor aggregation state
Assessment: SEC-MALS (Size Exclusion Chromatography with Multi-Angle Light Scattering) to verify monodispersity
Solution: Optimize codon usage for expression host and consider fusion partners
Methodology: Test multiple promoters, induction temperatures, and expression times
Assessment: Western blot quantification to compare expression conditions
Solution: Implement lipidic cubic phase or bicelle crystallization methods
Methodology: High-throughput screening of crystallization conditions with varying detergents, lipids, and additives
Assessment: UV microscopy and X-ray diffraction to evaluate crystal quality
Solution: Selective isotope labeling of specific amino acids
Methodology: Express protein in minimal media with labeled amino acids
Assessment: 2D and 3D NMR experiments to resolve structural features
| Method | Resolution Range | Success Rate | Sample Requirements | Key Advantages |
|---|---|---|---|---|
| X-ray Crystallography | 1.5-3.5 Å | 15-25% | 5-10 mg, stable crystals | Atomic resolution |
| Cryo-EM | 2.5-4.5 Å | 30-40% | 0.5-2 mg, homogeneous sample | No crystallization needed |
| NMR Spectroscopy | Limited to domains | 10-20% | 5-15 mg, isotope-labeled | Dynamic information |
| Molecular Modeling | Variable | >80% | Sequence and homology data | Rapid, low cost |
By implementing these methodological approaches and utilizing multiple complementary techniques, researchers can overcome the inherent challenges in structural characterization of Nham_2004.
Protein instability is a common challenge when working with membrane proteins like Nham_2004. The following methodological approaches can help maintain protein stability during functional assays:
Buffer Optimization:
Systematically screen buffer components (pH 6.5-8.5, salt concentration 50-500 mM)
Add stabilizing agents (glycerol 5-20%, trehalose 5-10%)
Test different detergent types and concentrations
Include specific lipids that may stabilize the native structure
Temperature Control:
Conduct thermal stability assays to determine optimal temperature ranges
Develop protocols that minimize temperature fluctuations
Consider performing assays at lower temperatures (4-25°C) to reduce degradation
Oxidation Prevention:
Include reducing agents (DTT, β-mercaptoethanol) at appropriate concentrations
Perform experiments under nitrogen atmosphere when possible
Add oxygen scavengers (glucose oxidase/catalase system)
Time-Course Optimization:
Minimize sample preparation time before assays
Develop rapid assay protocols that can be completed before significant degradation
Take multiple time points to track activity loss and extrapolate to initial rates
Engineering Approaches:
Identify and mutate surface-exposed cysteine residues that cause aggregation
Consider fusion constructs with stability-enhancing proteins
Implement directed evolution to select for more stable variants
By implementing these methodological approaches, researchers can significantly improve protein stability during functional characterization, resulting in more reliable and reproducible data for Nham_2004.
Recent advances in structural biology offer unprecedented opportunities to characterize membrane proteins like Nham_2004. The following methodological approaches represent cutting-edge strategies for structural determination:
Cryo-Electron Microscopy (Cryo-EM):
Single-particle analysis for determining high-resolution structures
Tomography for visualizing Nham_2004 in its native membrane environment
Time-resolved studies to capture conformational changes
Integrative Structural Biology:
Combining multiple experimental techniques (X-ray, NMR, SAXS, crosslinking)
Computational integration of sparse and heterogeneous data
Molecular dynamics simulations based on experimental constraints
Advanced Spectroscopic Methods:
Solid-state NMR for membrane-embedded proteins
EPR spectroscopy with site-directed spin labeling to track conformational changes
FRET-based approaches to monitor protein dynamics
AI-Enhanced Structure Prediction:
AlphaFold2 and similar deep learning approaches for accurate structure prediction
Refinement of predicted models with sparse experimental data
Validation through functional assays guided by structural insights
These advanced techniques would help resolve key structural questions about Nham_2004, including its transmembrane topology, substrate binding sites, and conformational states. Understanding these structural features is critical for developing hypotheses about its biological function in Nitrobacter hamburgensis, particularly regarding potential roles in membrane transport or energy conservation.
The UPF0060 membrane protein family has been implicated in stress responses across various bacterial species. For Nham_2004, several potential roles in environmental adaptation warrant investigation:
Oxidative Stress Response:
Nitrobacter species encounter reactive oxygen species during nitrite oxidation
Nham_2004 may contribute to membrane integrity under oxidative conditions
Experimental approach: Compare wild-type and knockout strains under H₂O₂ challenge
pH Homeostasis:
Nitrite oxidation generates protons that can acidify the local environment
Nham_2004 might participate in pH regulation or acid tolerance
Experimental approach: Monitor intracellular pH in cells with/without Nham_2004 expression
Heavy Metal Resistance:
N. hamburgensis genome contains plasmid-borne heavy metal resistance genes
Nham_2004 could function in metal efflux or detoxification
Experimental approach: Measure metal accumulation in presence/absence of Nham_2004
Nutrient Limitation Response:
Under carbon or nitrogen limitation, membrane protein composition often changes
Nham_2004 may facilitate alternative substrate utilization
Experimental approach: Quantify Nham_2004 expression under various nutrient regimes
These hypotheses can be tested through a combination of gene expression studies, phenotypic characterization of knockout mutants, and direct biochemical assays of protein function. Understanding Nham_2004's role in stress adaptation could provide insights into the ecological success of Nitrobacter species in diverse environments and their potential applications in bioremediation and wastewater treatment.
Integrating Nham_2004 research with multi-omics approaches provides a systems-level understanding of its role in Nitrobacter hamburgensis metabolism. The following methodological framework is recommended:
Transcriptomics:
RNA-seq analysis under various growth conditions (autotrophic, mixotrophic, different nitrogen sources)
Correlation of Nham_2004 expression with other genes to identify co-regulated networks
Identification of transcriptional regulators controlling Nham_2004 expression
Proteomics:
Quantitative proteomics to measure Nham_2004 abundance across conditions
Membrane proteome analysis to identify interaction partners
Post-translational modification mapping to detect regulatory mechanisms
Metabolomics:
Targeted metabolite analysis focusing on nitrogen and carbon intermediates
Comparing metabolic profiles between wild-type and Nham_2004 mutants
Flux analysis to determine changes in metabolic pathway utilization
Interactomics:
Affinity purification coupled with mass spectrometry to identify protein complexes
Bacterial two-hybrid screens to detect specific interactions
Co-evolution analysis to predict functional partnerships
This integrated approach should be applied across multiple growth conditions relevant to Nitrobacter ecology, including:
Varying nitrite concentrations (0.1-10 mM)
Different carbon sources (CO₂, acetate, pyruvate)
Environmental stressors (oxygen limitation, pH fluctuations)
The resulting multi-dimensional dataset would allow researchers to construct predictive models of Nham_2004's role in the broader metabolic network of N. hamburgensis and generate testable hypotheses about its contribution to the organism's unique nitrite-oxidizing lifestyle.
Computational prediction of protein interaction partners provides valuable hypotheses for experimental validation. For Nham_2004, the following methodological approaches are recommended:
Sequence-Based Methods:
Co-evolution analysis (Direct Coupling Analysis, GREMLIN)
Conserved gene neighborhoods across bacterial genomes
Phylogenetic profiling to identify proteins with similar evolutionary patterns
Analysis of genomic context within the Nitrobacter hamburgensis genome
Structure-Based Approaches:
Molecular docking simulations with potential partners
Interface prediction based on surface properties
Template-based modeling using known interaction complexes
Deep learning-based interaction site prediction
Network-Based Methods:
Guilt-by-association in protein-protein interaction networks
Functional linkage networks integrating multiple evidence types
Graph theoretical approaches to identify functional modules
Transfer of interaction data from better-characterized relatives
Text Mining and Knowledge Integration:
Automated literature mining for interaction evidence
Integration with biological pathway databases
Incorporation of experimental -omics data
Functional annotation transfer from homologous proteins
| Predicted Partner | Prediction Method | Confidence Score | Biological Process | Validation Approach |
|---|---|---|---|---|
| Nitrite oxidoreductase | Genomic context, co-expression | High | Nitrite oxidation | Co-immunoprecipitation |
| Respiratory chain components | Phylogenetic profiling | Medium | Energy conservation | Blue native PAGE |
| Transport proteins | Surface complementarity | Medium | Substrate transport | FRET analysis |
| Stress response regulators | Text mining, homology | Low | Environmental adaptation | Bacterial two-hybrid |
These computational predictions should guide targeted experimental validation to efficiently identify true interaction partners and functional associations of Nham_2004.
Based on current knowledge and the unique characteristics of Nitrobacter hamburgensis, the following research directions hold the greatest promise for understanding Nham_2004 function:
Comparative Analysis Across Nitrobacter Species:
Systematic comparison of Nham_2004 homologs across Nitrobacter strains
Correlation with metabolic capabilities and ecological niches
Identification of conserved functional elements versus strain-specific adaptations
Integration with Nitrite Oxidation Machinery:
Investigation of potential interactions with nitrite oxidoreductase complex
Assessment of electron transport chain participation
Evaluation of role in proton or electron management during nitrite oxidation
Membrane Organization Studies:
Super-resolution microscopy to visualize Nham_2004 localization
Lipid raft association analysis
Membrane domain organization in relation to energy conservation
Synthetic Biology Approaches:
Heterologous expression in model organisms lacking nitrite oxidation
Creation of chimeric proteins to identify functional domains
Development of biosensors based on Nham_2004 for environmental monitoring
The most effective research strategy would combine these approaches in an iterative process, where computational predictions guide experimental design, and experimental results inform refined computational models. This systems biology approach is essential for understanding specialized membrane proteins like Nham_2004, whose functions may be deeply integrated with the unique ecological niche of Nitrobacter species.
To systematically address knowledge gaps regarding Nham_2004, researchers should implement a structured experimental design approach following these methodological principles:
Hypothesis Generation:
Start with computational predictions based on sequence, structure, and genomic context
Formulate clear, testable hypotheses about potential functions
Prioritize hypotheses based on available evidence and feasibility of testing
Complementary Methodologies:
Employ both in vitro biochemical assays and in vivo functional studies
Combine genetic approaches (gene deletion, point mutations) with direct protein characterization
Utilize both targeted approaches and unbiased screens
Controls and Validation:
Include appropriate positive and negative controls in all experiments
Implement multiple orthogonal techniques to verify key findings
Validate in simplified systems, then progress to native context
Incremental Complexity:
Begin with purified protein studies to establish intrinsic properties
Progress to reconstituted systems that mimic the native environment
Culminate with in vivo studies in Nitrobacter hamburgensis
| Knowledge Gap | Experimental Approach | Expected Outcomes | Technical Considerations |
|---|---|---|---|
| Biochemical function | In vitro assays with purified protein | Substrate specificity, catalytic parameters | Maintaining protein stability |
| In vivo role | Gene deletion and complementation | Phenotypic effects, growth characteristics | Genetic manipulation tools for Nitrobacter |
| Interaction network | Co-immunoprecipitation, crosslinking | Identification of protein complexes | Membrane protein interactions |
| Regulatory mechanisms | Promoter analysis, expression studies | Response to environmental conditions | Low abundance protein detection |