Recombinant Salmonella dublin Cobalt Transport Protein CbiN (cbiN) is a bioengineered variant of the native CbiN protein, expressed in E. coli for research and biotechnological applications. This protein is critical for cobalt transport in Salmonella dublin, a host-adapted pathogen causing severe infections in cattle and humans. The recombinant form is His-tagged (N-terminal) and retains full-length functionality (1–93 amino acids) .
KEGG: sed:SeD_A2357
Salmonella dublin Cobalt transport protein CbiN (cbiN) is a small membrane protein consisting of 93 amino acids with a molecular weight of approximately 10 kDa. The amino acid sequence (MKKTLmLLAMVVALVILPFFINHGGEYGGSDGEAESQIQAIAPQYKPWFQPLYEPASGEIESLLFTLQGSLGAAVIFYILGYCKGKQRRDDRA) reveals a hydrophobic N-terminal region characteristic of membrane proteins, suggesting integration into the bacterial cell membrane . Structural analysis indicates CbiN contains transmembrane domains that facilitate cobalt ion transport across the membrane. The protein is primarily localized in the cytoplasmic membrane where it functions as part of the Energy-coupling factor (ECF) transporter complex. While high-resolution crystal structures remain limited, computational modeling suggests CbiN adopts a conformation with membrane-spanning regions connected by short loops that are important for substrate binding and transport functions.
CbiN functions as the substrate-capture component (S-component) within the Energy-coupling factor (ECF) transporter complex . The ECF complex typically consists of four components: the substrate-specific S-component (CbiN), two transmembrane coupling proteins, and an ATPase that provides energy for transport. The mechanism involves:
Initial binding of cobalt ions to specific residues in CbiN
Conformational change in CbiN that signals the ECF complex
ATP hydrolysis by the ATPase component
Translocation of cobalt ions across the membrane
Research methodologies to study this mechanism include:
Site-directed mutagenesis of key residues followed by transport assays
Fluorescence resonance energy transfer (FRET) to monitor protein-protein interactions
Isothermal titration calorimetry (ITC) to measure binding affinities between CbiN and cobalt ions
Optimal expression and purification of functional recombinant Salmonella dublin CbiN requires careful consideration of expression systems and conditions due to its membrane protein nature. Based on research practices:
| Parameter | Optimal Condition | Rationale |
|---|---|---|
| Expression System | E. coli BL21(DE3) | Lacks proteases that could degrade CbiN |
| Expression Vector | pET with N-terminal His tag | Facilitates purification while preserving function |
| Induction Temperature | 18-22°C | Reduces inclusion body formation |
| Induction Duration | 16-18 hours | Allows proper folding of membrane protein |
| Induction Agent | 0.1-0.5 mM IPTG | Lower concentrations reduce toxicity |
| Cell Lysis Method | Gentle detergent extraction | Preserves native membrane protein structure |
| Purification Strategy | IMAC followed by size exclusion | Removes contaminants while maintaining protein integrity |
After purification, the protein should be stored in Tris-based buffer with 50% glycerol at -20°C for short-term or -80°C for long-term storage . Avoid repeated freeze-thaw cycles as they can denature the protein. For working stocks, maintain aliquots at 4°C for up to one week to preserve functionality.
Several complementary methodologies can be employed to quantitatively assess CbiN-mediated cobalt transport:
Radioisotope Transport Assays:
Incubate bacterial cells or membrane vesicles expressing CbiN with 57Co or 60Co
Measure intracellular accumulation of labeled cobalt at various timepoints
Compare transport kinetics between wild-type and mutant CbiN variants
Fluorescent Probes:
Utilize cobalt-sensing fluorophores that exhibit spectral changes upon cobalt binding
Monitor real-time transport in live cells using confocal microscopy
Calculate transport rates from fluorescence intensity changes
Inductively Coupled Plasma Mass Spectrometry (ICP-MS):
Precisely quantify intracellular cobalt concentrations in cells expressing CbiN
Compare with control cells lacking CbiN expression
Determine absolute transport rates under various conditions
Electrophysiological Methods:
Reconstitute purified CbiN in lipid bilayers
Use patch-clamp techniques to measure ion currents
Determine ion selectivity by varying ion composition in experimental chambers
For rigorous analysis, researchers should combine at least two methodologies to confirm findings and rule out artifacts from any single approach.
Characterizing protein-protein interactions between CbiN and other ECF transporter components requires multiple complementary approaches:
Co-Immunoprecipitation (Co-IP):
Express epitope-tagged CbiN in Salmonella dublin
Perform pull-down assays with antibodies against the tag
Identify interacting partners by mass spectrometry
Validate interactions with reverse Co-IP experiments
Bacterial Two-Hybrid System:
Clone cbiN and potential partner genes into two-hybrid vectors
Measure reporter gene activation as indication of interaction
Test interaction domains through truncation analysis
Surface Plasmon Resonance (SPR):
Immobilize purified CbiN on sensor chip
Flow purified partner proteins over the surface
Determine binding kinetics and affinity constants
Test effects of mutations on binding parameters
Crosslinking Mass Spectrometry:
Treat intact cells or purified complexes with crosslinking agents
Digest and analyze by LC-MS/MS
Identify crosslinked peptides to map interaction interfaces
Build structural models based on crosslinking constraints
These approaches provide complementary information about the temporal dynamics, specificity, and structural basis of CbiN interactions within the ECF transporter complex.
The structural features critical for CbiN's cobalt binding and transport function can be analyzed through multiple experimental approaches:
Sequence Conservation Analysis:
The amino acid sequence of CbiN (MKKTLmLLAMVVALVILPFFINHGGEYGGSDGEAESQIQAIAPQYKPWFQPLYEPASGEIESLLFTLQGSLGAAVIFYILGYCKGKQRRDDRA) contains several conserved regions across Salmonella species . Critical structural features include:
N-terminal hydrophobic region (residues 1-20): Membrane anchoring
Central hydrophilic domain (residues 21-60): Likely involved in cobalt coordination
C-terminal charged region (residues 61-93): Potential interaction with other ECF components
Site-Directed Mutagenesis Approach:
Systematic mutation of conserved residues can identify those critical for function:
| Residue Type | Potential Function | Experimental Approach |
|---|---|---|
| Histidine residues | Cobalt coordination | His→Ala mutations followed by binding assays |
| Acidic residues (Asp/Glu) | Ionic interactions with Co2+ | Charge-reversal mutations |
| Conserved glycines | Conformational flexibility | Gly→Pro mutations to restrict flexibility |
| Aromatic residues | Substrate recognition | Conservative and non-conservative substitutions |
Structural Modeling Validation:
Generate homology models based on related transporter structures
Validate models through molecular dynamics simulations
Test predictions through targeted mutagenesis
Correlate structural predictions with functional data
Salmonella dublin is a host-adapted invasive non-typhoidal Salmonella serovar that causes bloodstream infections in humans and demonstrates increasing prevalence of antimicrobial resistance . CbiN's role in virulence can be examined through several research approaches:
Nutrient Acquisition During Infection:
Cobalt is an essential micronutrient required for vitamin B12 synthesis
CbiN-mediated cobalt acquisition likely provides metabolic advantages in nutrient-limited host environments
Experimental approach: Compare growth of wild-type and ΔcbiN mutants in cobalt-limited media mimicking host conditions
Host Adaptation Mechanisms:
Comparative genomic analysis reveals distinct populations of S. Dublin circulating in different geographical regions
CbiN sequence variations may reflect adaptation to different host environments
Research methodology: Analyze CbiN sequence conservation across isolates from different hosts and geographical regions
Virulence Factor Integration:
CbiN function may integrate with other virulence mechanisms:
Salmonella Pathogenicity Islands (SPIs)
The spv operon (spvRABCD genes)
Type VI secretion system (T6SS)
Experimental approach: Evaluate virulence factor expression in ΔcbiN backgrounds
S. Dublin contains 13 SPIs (including SPIs 1-6, 9, 11, 13, 14, 16, 17, and 19) and numerous virulence genes that may interact functionally with the cobalt transport system . Research correlating CbiN function with these established virulence mechanisms could identify novel therapeutic targets.
The relationship between antimicrobial resistance and CbiN function represents an emerging research area, particularly given the increasing prevalence of antimicrobial resistant (AMR) S. Dublin strains:
Differential Expression Analysis:
Compare cbiN expression levels between antimicrobial-susceptible and resistant strains
Methodology: RT-qPCR and RNA-seq under various growth conditions
Data interpretation: Correlate expression changes with resistance patterns
Functional Impact of AMR-Associated Mutations:
While most German S. Dublin strains show limited antimicrobial resistance, a North American cluster shows multidrug resistance (MDR) patterns . Research questions include:
Do AMR-conferring mutations affect metal transport systems?
Does acquired resistance alter cellular metal homeostasis?
Experimental approach: Transport assays in isogenic strains differing only in resistance determinants
Metal Transport in Biofilm Formation:
AMR strains often display enhanced biofilm formation
Cobalt transport may influence biofilm matrix composition
Research methodology: Compare biofilm formation between wild-type and ΔcbiN strains under various metal concentrations
CbiN as Antimicrobial Target:
Isotope labeling provides powerful tools for studying CbiN structure, dynamics, and functional mechanisms:
Nuclear Magnetic Resonance (NMR) Spectroscopy:
15N and 13C labeling of recombinant CbiN
Methodology: Express protein in minimal media with 15NH4Cl and 13C-glucose
Applications:
Determine solution structure
Analyze protein dynamics
Monitor conformational changes upon cobalt binding
Neutron Diffraction:
Deuterium (2H) labeling of CbiN
Methodology: Express protein in D2O-based media
Applications:
Locate hydrogen atoms in crystal structures
Distinguish between closely related metal ions
Determine protonation states of key residues
Metabolic Flux Analysis:
59Co stable isotope labeling
Methodology: Pulse-chase experiments with isotopically labeled cobalt
Applications:
Track cobalt movement through cellular compartments
Determine rate-limiting steps in transport
Quantify cobalt utilization in vitamin B12 synthesis
These techniques allow researchers to study CbiN function with minimal perturbation to the native protein structure and provide insights that cannot be obtained through conventional biochemical approaches.
Structural characterization of membrane proteins like CbiN presents unique challenges that require specialized approaches:
X-ray Crystallography Optimization:
| Challenge | Solution Strategy | Expected Outcome |
|---|---|---|
| Low expression yields | Use specialized expression vectors with strong promoters | Increased protein production |
| Protein instability | Screen detergent conditions systematically | Identify stabilizing conditions |
| Crystal formation difficulties | Lipidic cubic phase crystallization | Better-ordered crystals |
| Phase determination | Heavy atom derivatives (including cobalt soaking) | Improved electron density maps |
Cryo-Electron Microscopy (Cryo-EM) Approaches:
Reconstitute CbiN with partner proteins in nanodiscs
Use direct electron detectors for high-resolution data collection
Apply 3D classification to separate different conformational states
Combine with crosslinking data to validate structural models
Integrative Structural Biology:
Combine multiple low-resolution techniques
Use small-angle X-ray scattering (SAXS) for solution structure
Apply distance constraints from FRET measurements
Validate models with biochemical and functional data
These optimized approaches can overcome the inherent challenges of membrane protein structural biology and provide crucial insights into CbiN function at the molecular level.