NDKs are critical in nucleotide metabolism, ensuring balanced pools of NTPs for DNA/RNA synthesis and energy transfer. Beijerinckia indica subsp. indica NDK shares structural and functional homology with NDKs in other organisms, though specific catalytic parameters (e.g., substrate specificity, optimal pH) remain uncharacterized in published studies.
Beijerinckia indica subsp. indica is a soil-dwelling, acidophilic bacterium with a 4.17 Mbp genome containing 3,788 protein-coding genes . Its genome lacks phosphofructokinase, relying on the Entner-Doudoroff pathway for carbohydrate catabolism . While NDK is not explicitly annotated in its genome, its presence is inferred from conserved kinase families.
| Organism | NDK Role | Genomic Context |
|---|---|---|
| Beijerinckia indica | Nucleotide pool regulation; potential role in stress adaptation | Acidophilic, nitrogen-fixing lifestyle |
| Methylocella silvestris | One-carbon metabolism support | Methanotrophic specialist |
Data synthesized from genomic studies and metabolic pathways in Beijerinckia .
Functional Characterization: Kinetic parameters (e.g., , ) and substrate specificity remain undefined.
Structural Insights: X-ray crystallography or cryo-EM studies to elucidate catalytic mechanisms.
Ecological Relevance: Role in nitrogen fixation or exopolysaccharide production in Beijerinckia.
KEGG: bid:Bind_2433
STRING: 395963.Bind_2433
Nucleoside diphosphate kinase (NDK) in B. indica subsp. indica plays a crucial role in maintaining the cellular balance of nucleoside triphosphates (NTPs) and nucleoside diphosphates (NDPs). The enzyme catalyzes the transfer of a γ-phosphate from NTPs to NDPs via the reaction: N₁TP + N₂DP ↔ N₁DP + N₂TP. This reversible reaction is vital for numerous cellular processes including DNA replication, RNA synthesis, and polysaccharide formation. In the context of B. indica, an organism with a 4.17 Mbp genome encoding 3,784 predicted proteins, NDK likely supports its metabolic versatility as a chemoorganotroph capable of growth on various organic acids, sugars, and alcohols .
Experimental approaches to study NDK function in B. indica typically involve:
Enzyme activity assays using purified recombinant protein
Gene knockout studies to observe phenotypic effects
Metabolomic analysis comparing wild-type and NDK-deficient strains
The ndk gene in B. indica is found within its 4.17 Mbp genome, which also contains two plasmids of 181,736 and 66,727 bp . While the specific genomic context of the ndk gene isn't detailed in the available literature, we can analyze potential regulatory elements based on what we know about related organisms.
Researchers should consider:
Examining the upstream region for potential promoter sequences
Identifying neighboring genes that might be co-regulated
Using tools like RegPredict to identify potential regulatory sequences similar to those identified in other related bacteria
Conducting transcriptomic analysis under different growth conditions to understand expression patterns
The G+C content of the B. indica genome is 57.0% , which may influence codon usage and expression efficiency of the ndk gene. Comparative genomic analysis with closely related organisms like Methylocella silvestris (which shares 57% of its genes with B. indica) could provide insights into conservation and regulatory patterns of ndk .
Based on successful approaches with similar proteins, E. coli remains the preferred expression system for recombinant B. indica NDK production, as evidenced by its use for other B. indica proteins like DnaK . The following methodology is recommended:
Expression Protocol:
Clone the B. indica ndk gene into a suitable expression vector (pET or pBAD series)
Transform into an E. coli expression strain (BL21(DE3), Rosetta, or Arctic Express)
Culture in LB medium supplemented with appropriate antibiotics
Induce protein expression at OD₆₀₀ of 0.6-0.8 with IPTG (0.1-1.0 mM) or arabinose
Optimize expression by testing different temperatures (16-37°C) and induction times (3-24 hours)
Purification Strategy:
Harvest cells by centrifugation and lyse using sonication or French press
Clarify lysate by centrifugation at ≥20,000 × g
Purify using affinity chromatography (His-tag or GST-tag)
Further purify by ion-exchange and size-exclusion chromatography
Verify protein identity by mass spectrometry
Storage recommendations include adding glycerol (5-50% final concentration) and storing at -20°C/-80°C, with a typical shelf life of 6 months for liquid form and 12 months for lyophilized preparations .
Structural studies of B. indica NDK can provide valuable insights for rational inhibitor design, similar to approaches used with NDK from Borrelia burgdorferi . The following methodological approach is recommended:
Protein Crystallization Strategy:
Structure Determination Protocol:
Collect X-ray diffraction data at synchrotron beamlines
Process data using XDS or MOSFLM software packages
Solve structure by molecular replacement using related NDK structures as templates
Refine structure using PHENIX or REFMAC
Validate structure using MolProbity
Structure-Based Inhibitor Design:
The structural information would be particularly valuable given that NDK function has been demonstrated to be important for establishing infection in mouse models for other bacterial species , suggesting potential therapeutic applications.
B. indica is known for its abundant production of exoheteropolysaccharide with potential biotechnological applications . Investigating NDK's potential role in this process requires a multifaceted approach:
Genetic Manipulation Strategies:
Generate conditional ndk knockdown strains using CRISPR interference
Create point mutations in catalytic residues to modulate NDK activity
Complement knockout strains with wild-type or mutant ndk genes
Analytical Methods for Exopolysaccharide Quantification:
Gravimetric analysis after ethanol precipitation
Size-exclusion chromatography for molecular weight determination
Composition analysis using HPLC or GC-MS after hydrolysis
Rheological characterization to assess viscosity properties
Metabolic Flux Analysis:
Use ¹³C-labeled substrates to trace carbon flux through nucleotide sugar pathways
Quantify nucleotide sugar precursors using LC-MS/MS
Correlate NDK activity with nucleotide sugar pool sizes
Model the impact of altered NTP/NDP ratios on exopolysaccharide biosynthesis
| Nucleotide Sugar | Role in EPS Biosynthesis | Impact of Reduced NDK Activity |
|---|---|---|
| UDP-Glucose | Glucose incorporation | Decreased UDP-Glucose levels |
| GDP-Mannose | Mannose incorporation | Decreased GDP-Mannose levels |
| CMP-Sialic Acid | Sialic acid incorporation | Decreased CMP-Sialic Acid levels |
| TDP-Rhamnose | Rhamnose incorporation | Decreased TDP-Rhamnose levels |
B. indica is phylogenetically closely related to facultative and obligate methanotrophs of the genera Methylocella and Methylocapsa . A comparative functional analysis of NDKs from these organisms could provide insights into metabolic adaptations and evolutionary relationships:
Homology Analysis Protocol:
Identify NDK homologs in Methylocella silvestris and other related bacteria
Perform multiple sequence alignment to identify conserved and divergent regions
Conduct phylogenetic analysis to establish evolutionary relationships
Map sequence differences onto structural models to predict functional implications
Comparative Biochemical Characterization:
Express and purify NDKs from B. indica and related methanotrophs
Determine kinetic parameters (Km, kcat) for various NTP/NDP combinations
Assess thermal stability using differential scanning fluorimetry
Compare substrate specificity profiles
Analyze oligomeric states using size-exclusion chromatography coupled with multi-angle light scattering
Functional Complementation Studies:
Create NDK knockout strains in both B. indica and M. silvestris
Cross-complement with heterologous NDKs
Assess rescue of growth defects and metabolic parameters
Evaluate the impact on specialized metabolic pathways (N₂ fixation vs. methanotrophy)
Given that 57% of the genes in B. indica have homologues in M. silvestris , comparative analysis of their NDKs could reveal adaptations specific to their distinct metabolic lifestyles, despite their similar genome sizes (4.17 versus 4.30 Mbp) and gene counts (3,788 versus 3,917) .
Establishing reliable assay conditions is crucial for consistent characterization of B. indica NDK. The following methodological approaches are recommended:
Coupled Spectrophotometric Assay:
Reaction mixture: 50 mM Tris-HCl (pH 7.5-8.0), 5 mM MgCl₂, 1 mM NDP (GDP or UDP), 1 mM ATP
Coupling system: pyruvate kinase (PK) and lactate dehydrogenase (LDH)
Substrates: phosphoenolpyruvate (PEP) and NADH
Monitor absorbance decrease at 340 nm as NADH is oxidized
Calculate activity using NADH extinction coefficient (6,220 M⁻¹cm⁻¹)
pH and Temperature Optimization:
Test pH range from 5.5-9.0 (relevant for acidophilic B. indica)
Evaluate temperature range from 25-45°C
Determine pH and temperature stability profiles
Metal Ion Requirements:
Test divalent cations (Mg²⁺, Mn²⁺, Ca²⁺) at 1-10 mM concentrations
Assess potential inhibitory effects of other metal ions
Determine optimal Mg²⁺ concentration for maximal activity
Substrate Specificity Analysis:
Test various NTP donors (ATP, GTP, CTP, UTP)
Evaluate different NDP acceptors (ADP, GDP, CDP, UDP)
Determine Km and Vmax for each substrate combination
Calculate specificity constants (kcat/Km) to identify preferred substrates
| Parameter | Expected Optimal Range | Considerations |
|---|---|---|
| pH | 5.5-6.5 | Reflects acidophilic nature of B. indica |
| Temperature | 28-32°C | Typical optimal growth temperature |
| [Mg²⁺] | 5-10 mM | Essential cofactor for phosphoryl transfer |
| Protein concentration | 10-50 ng/mL | Ensure linearity of assay |
| ATP concentration | 0.5-2.0 mM | Often near physiological levels |
| ADP concentration | 0.5-2.0 mM | Often near physiological levels |
Beijerinckia indica is a nitrogen-fixing bacterium with genes involved in N₂ fixation clustered in two genomic islands (10 kb and 51 kb) . Investigating potential interactions between NDK and the nitrogen fixation machinery requires:
Protein-Protein Interaction Analysis:
Perform bacterial two-hybrid screening using NDK as bait
Conduct co-immunoprecipitation assays with tagged NDK
Apply crosslinking mass spectrometry to identify interaction partners
Use surface plasmon resonance to characterize binding kinetics
Metabolic Nexus Investigation:
Analyze NTP requirements of nitrogenase and associated proteins
Determine if NDK co-localizes with nitrogen fixation machinery using fluorescent protein fusions
Measure nitrogenase activity in strains with altered NDK expression
Quantify ATP/GTP levels in wild-type versus NDK-modified strains during active nitrogen fixation
Transcriptional Co-regulation Analysis:
Perform RNA-seq under nitrogen-fixing versus non-fixing conditions
Analyze promoter regions for common regulatory elements
Conduct ChIP-seq to identify transcription factors that may regulate both systems
Use reporter gene fusions to monitor expression patterns
This research direction is particularly intriguing given that nitrogen fixation is an energy-intensive process requiring significant ATP, and NDK's role in maintaining nucleotide triphosphate pools could be critical for sustaining this metabolically demanding process.
Site-directed mutagenesis is a powerful approach to investigate the catalytic mechanism of B. indica NDK. The following methodology is recommended:
Target Residue Selection Strategy:
Identify conserved catalytic residues through multiple sequence alignment with well-characterized NDKs
Focus on the active site histidine that forms a phosphohistidine intermediate
Target residues involved in metal coordination (typically aspartate or glutamate)
Examine residues involved in base specificity (purine/pyrimidine discrimination)
Mutagenesis Design Principles:
For catalytic residues: Create H→N mutations to maintain size but eliminate reactivity
For metal-binding residues: Use D→N or E→Q substitutions
For substrate-binding residues: Introduce conservative and non-conservative changes
Consider alanine-scanning mutagenesis for systematic functional mapping
Experimental Protocol:
Use overlap extension PCR or commercial site-directed mutagenesis kits
Verify mutations by DNA sequencing
Express and purify mutant proteins using the same conditions as wild-type
Compare specific activities, substrate affinities, and catalytic efficiencies
Perform thermal stability analysis to ensure mutations don't disrupt protein folding
| Target Residue Type | Common Position | Recommended Mutations | Expected Effect |
|---|---|---|---|
| Catalytic histidine | His117-122 | H→N, H→Q, H→A | Complete loss of activity |
| Metal-binding | Asp54-60 | D→N, D→A | Reduced metal affinity |
| Substrate binding | Arg88-95 | R→K, R→A | Altered substrate specificity |
| Oligomerization | Interface residues | Hydrophobic→charged | Disruption of quaternary structure |
Several sophisticated biophysical techniques can provide detailed insights into the structure-function relationships of B. indica NDK:
Nuclear Magnetic Resonance (NMR) Spectroscopy:
¹⁵N-¹H HSQC to monitor ligand binding and conformational changes
³¹P NMR to directly observe phosphohistidine intermediate formation
Relaxation dispersion experiments to characterize enzyme dynamics
Protocol requires expression in minimal media with ¹⁵N and/or ¹³C labeled precursors
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Map solvent accessibility changes upon substrate binding
Identify regions undergoing conformational changes during catalysis
Compare wild-type and mutant proteins to pinpoint structural perturbations
Requires specialized equipment and careful sample preparation to minimize back-exchange
Time-Resolved X-ray Crystallography:
Capture intermediates in the catalytic cycle using techniques like:
Temperature-jump triggered reactions
Photocaged substrates
Microfluidic crystal mixing devices
Similar to approaches used with B. burgdorferi NDK , attempt to capture the enzyme bound to ADP and vanadate to mimic the transition state
Single-Molecule FRET:
Introduce fluorescent labels at strategic positions
Monitor conformational dynamics in real-time
Detect rare or transient conformational states
Correlate conformational changes with catalytic events
These techniques can be particularly powerful when used in combination, providing complementary information about structural dynamics, ligand interactions, and catalytic mechanisms.
Computational methods offer powerful tools for investigating NDK function when combined with experimental approaches:
Homology Modeling and Molecular Dynamics:
Build structural models based on homologous NDKs
Perform extended molecular dynamics simulations (>500 ns)
Analyze conformational flexibility and identify potential allosteric sites
Use enhanced sampling techniques to study conformational transitions
Quantum Mechanics/Molecular Mechanics (QM/MM) Simulations:
Model the phosphoryl transfer reaction mechanism
Calculate energy barriers for catalysis
Evaluate effects of mutations on transition state stabilization
Compare with experimentally determined kinetic parameters
Network Analysis of Genome Context:
Machine Learning Applications:
Develop sequence-based predictors of NDK substrate specificity
Use graph neural networks to model protein-ligand interactions
Apply deep learning to predict effects of mutations
Integrate multi-omics data to understand NDK's role in cellular networks
These computational approaches can guide experimental design, provide mechanistic insights difficult to obtain experimentally, and help interpret experimental data within a broader biological context.
Several potential biotechnological applications of recombinant B. indica NDK warrant investigation:
Enzymatic Synthesis of Nucleotide Analogs:
Develop protocols for large-scale production of modified nucleotides
Optimize reaction conditions for high yield and purity
Explore substrate promiscuity for incorporation of non-natural bases
Compare efficiency with NDKs from other sources
Biosensor Development:
Create coupled enzyme systems for ATP or GTP detection
Develop fluorescent or bioluminescent reporters linked to NDK activity
Design immobilized enzyme systems for continuous monitoring
Optimize for sensitivity and specificity
PCR Enhancement Applications:
Evaluate utility as a pyrophosphatase alternative in PCR reactions
Test ability to regenerate dNTPs during long-range PCR
Compare performance with commercial PCR additives
Optimize enzyme stability for thermocycling conditions
Therapeutic Target Validation:
B. indica possesses several distinctive metabolic features that might be influenced by NDK activity:
Exopolysaccharide Production:
Investigate how nucleotide sugar precursor availability affects exopolysaccharide synthesis
Determine if exopolysaccharide composition changes with altered NDK activity
Study whether NDK co-localizes with polysaccharide biosynthetic machinery
Analyze transcriptional co-regulation of ndk with exopolysaccharide biosynthesis genes
Nitrogen Fixation Efficiency:
Quantify ATP consumption during nitrogen fixation
Assess whether NDK overexpression enhances nitrogen fixation capacity
Investigate potential protein-protein interactions between NDK and nitrogenase components
Examine ndk expression patterns during active nitrogen fixation
Stress Response and Adaptation:
Given B. indica's acidophilic nature, study NDK activity and stability at low pH
Investigate NDK expression during various stress conditions
Determine if NDK plays a role in acid tolerance mechanisms
Compare NDK properties with those from neutrophilic bacteria
Growth on Diverse Carbon Sources:
Understanding these connections would provide valuable insights into bacterial metabolism and potentially reveal novel regulatory mechanisms linking energy metabolism, nucleotide homeostasis, and specialized metabolic pathways.