CbiN is a substrate-capture component of the Energy-Coupling Factor (ECF) transporter system responsible for cobalt acquisition in M. thermautotrophicus. Recombinant CbiN is expressed in E. coli with an N-terminal His-tag, allowing purification via affinity chromatography. Key features include:
The full-length sequence of recombinant CbiN is:
MDKRHILMLLAVIIISVAPLIIYSGHGEDDGYFGGADDSAGDAITETGYKPWFQPLWEPP SGEIESLLFALQAAIGALIIGYVFGYYRGRGESSE
Key domains include:
Transmembrane helices: Predicted via hydrophobicity analysis (residues 10-32, 40-62)
Cobalt-binding motifs: Conserved glycine-rich regions (e.g., GEDDGYFGGADD)
CbiN facilitates cobalt uptake for biosynthesis of:
Proteomic studies show CbiN expression correlates with methane yield under cobalt-limiting conditions, though its levels decrease during temperature stress (4°C or 71°C) .
Vector: Modular shuttle plasmids (e.g., pMVS series) enable heterologous expression in E. coli and M. thermautotrophicus
Stability: Requires 50% glycerol for long-term storage; avoid freeze-thaw cycles
Metal transport studies: Used to characterize cobalt affinity and transport kinetics
Stress response analysis: Downregulated during temperature shifts, linked to reduced methanogenesis
Biotechnological tool: Supports metabolic engineering of methanogens for bioenergy applications
KEGG: mth:MTH_131
STRING: 187420.MTH131
Methanothermobacter thermautotrophicus Cobalt transport protein CbiN (cbiN) is a membrane protein that functions as part of an energy-coupling factor (ECF) transporter system. It serves as a substrate-capture protein specifically involved in cobalt transport across the cell membrane . CbiN is critical for M. thermautotrophicus metabolism as cobalt is an essential cofactor for several enzymes involved in the hydrogenotrophic methanogenesis pathway, through which these thermophilic archaea convert hydrogen and carbon dioxide into methane . The protein consists of 95 amino acids and contains transmembrane domains that facilitate its integration into the cell membrane .
Escherichia coli is the predominantly used expression system for recombinant production of M. thermautotrophicus CbiN . When designing expression systems, researchers should consider:
| Expression System | Advantages | Considerations |
|---|---|---|
| E. coli | - High yield - Well-established protocols - Cost-effective | - May require codon optimization - Potential inclusion body formation - Requires N-terminal tagging for purification |
| Thermophilic hosts | - Native-like folding - Potential for higher activity | - More complex cultivation - Limited genetic tools - Lower yields |
For optimal expression in E. coli, the addition of an N-terminal His-tag facilitates purification while maintaining protein functionality . The recent development of genetic tools for M. thermautotrophicus may also enable homologous expression systems in the future, potentially providing more native-like protein folding and post-translational modifications .
When expressing M. thermautotrophicus CbiN in E. coli, the following protocol has been established as effective:
Vector selection: Use expression vectors containing strong inducible promoters (T7 or tac) with His-tag fusion for subsequent purification .
E. coli strain selection: BL21(DE3) or Rosetta strains are recommended to accommodate potential rare codon usage in the archaeal gene.
Culture conditions:
Initial growth at 37°C until OD600 reaches 0.6-0.8
Induction with 0.5-1.0 mM IPTG
Post-induction growth at 30°C for 4-6 hours to reduce inclusion body formation
Cell lysis:
Use buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol
Addition of protease inhibitors is crucial to prevent degradation
Membrane fraction isolation through differential centrifugation
These conditions have been optimized to balance protein yield with proper folding, particularly important for membrane proteins like CbiN .
A multi-step purification approach yields the highest purity for functional studies:
Immobilized Metal Affinity Chromatography (IMAC):
Using Ni-NTA resin for His-tagged CbiN
Washing with increasing imidazole concentrations (20-50 mM)
Elution with 250-300 mM imidazole
Size Exclusion Chromatography (SEC):
Further purification using Superdex 75 or 200 columns
Buffer containing 20 mM Tris-HCl (pH 8.0), 150 mM NaCl, 5% glycerol
Quality control:
SDS-PAGE analysis showing >90% purity
Western blotting confirmation using anti-His antibodies
For long-term storage, the purified protein should be stored in Tris/PBS-based buffer (pH 8.0) containing 6% trehalose or 50% glycerol at -20°C/-80°C to maintain stability .
| Common Issue | Potential Causes | Troubleshooting Approaches |
|---|---|---|
| Low expression yield | - Toxicity to host cells - Inefficient translation - Protein degradation | - Reduce induction temperature to 16-20°C - Optimize codon usage - Add protease inhibitors - Test different E. coli strains |
| Inclusion body formation | - Rapid overexpression - Improper folding | - Reduce induction temperature - Lower IPTG concentration - Co-express with chaperones - Use solubilization agents |
| Poor binding to affinity resin | - Tag inaccessibility - Improper buffer conditions | - Test different tag positions - Optimize buffer pH and salt concentration - Add mild detergents (0.1% DDM or LDAO) |
| Protein aggregation after purification | - Loss of structural integrity - Improper storage | - Add stabilizing agents like trehalose - Maintain constant temperature during purification - Aliquot and flash-freeze samples |
When working with membrane proteins like CbiN, detergent screening is often necessary to identify optimal conditions for solubilization while maintaining native protein structure .
Several complementary approaches can be used to elucidate CbiN's structure:
Computational prediction:
Topology prediction suggests CbiN contains membrane-spanning helices, with the 95-amino acid sequence forming a transmembrane structure
Homology modeling with related cobalt transporters can provide preliminary structural insights
Experimental methods:
Circular Dichroism (CD) spectroscopy to determine secondary structure composition
NMR spectroscopy for solution structure determination, particularly suitable for smaller membrane proteins like CbiN
X-ray crystallography, requiring successful crystallization of the purified protein
Cryo-EM in complex with other ECF transporter components for full transporter complex visualization
Topology mapping:
Cysteine scanning mutagenesis with accessibility probes
Protease protection assays to determine membrane-protected regions
The thermostable nature of proteins from M. thermautotrophicus (growing optimally around 65-70°C) offers advantages for structural studies, potentially providing more stable conformations during analysis .
Functional characterization of CbiN should include:
Metal binding assays:
Isothermal Titration Calorimetry (ITC) to determine binding affinity (Kd) for cobalt
Differential Scanning Fluorimetry (DSF) to assess thermal stability changes upon cobalt binding
Spectroscopic methods using fluorescent cobalt probes
Transport activity measurement:
Reconstitution into liposomes for transport assays
Radioactive 57Co2+ uptake studies in proteoliposomes
Membrane potential measurements during transport
In vivo complementation assays:
Functional expression in cobalt transport-deficient strains
Growth rescue experiments under cobalt-limited conditions
Interaction studies with other ECF transporter components:
Pull-down assays with other components of the cobalt transport machinery
Surface Plasmon Resonance (SPR) to measure binding kinetics between components
These approaches provide comprehensive insights into both the biochemical and physiological roles of CbiN in cobalt transport .
CbiN functions as part of a multicomponent Energy-Coupling Factor (ECF) transport system. Although specific interaction data for M. thermautotrophicus CbiN is limited, based on homologous systems:
ECF transporter architecture:
CbiN serves as the substrate-binding component (S-component)
Interacts with the energy-coupling component (EcfT) and ATP-binding cassettes (EcfA/EcfA')
Forms a functional complex for ATP-dependent cobalt uptake
Interaction interfaces:
The transmembrane domains of CbiN likely interact with EcfT
Conserved residues in the cytoplasmic loops facilitate docking with the energizing module
Conformational changes:
ATP binding and hydrolysis by EcfA/EcfA' trigger conformational changes
These changes are transmitted to CbiN, facilitating cobalt release into the cytoplasm
Further research using the newly developed genetic tools for M. thermautotrophicus will allow more detailed characterization of these interactions through targeted mutagenesis and protein-protein interaction studies .
Recombinant CbiN serves as a valuable tool for investigating methanogenic pathways through several approaches:
Metabolic engineering:
Nutrient limitation studies:
Manipulation of cobalt transport to study the effects on methanogenesis under different metal availabilities
Investigation of cobalt-dependent enzymes in the methanogenic pathway
Reporter systems:
Protein-protein interaction mapping:
Using tagged CbiN to identify interaction partners in the methanogenic machinery
Elucidation of the metal homeostasis network in thermophilic methanogens
These applications leverage CbiN as both a subject of study and a tool for broader investigations into methanogenic metabolism .
CbiN can be employed in several experimental designs to investigate adaptations to extreme environments:
Thermostability studies:
Comparative analysis of CbiN from mesophilic versus thermophilic methanogens
Site-directed mutagenesis to identify residues critical for thermostability
Correlation between protein stability and functional parameters at different temperatures
Metal homeostasis in extreme environments:
Investigation of cobalt transport efficiency under varying temperature, pH, and pressure conditions
Analysis of metal competition and specificity under extreme conditions
Evolution of transport systems:
Phylogenetic analysis of CbiN sequences across methanogenic archaea from different environments
Reconstruction of ancestral CbiN sequences to trace evolutionary adaptations
Synthetic biology approaches:
Creation of chimeric transporters combining domains from organisms adapted to different extreme conditions
Engineering CbiN variants with enhanced stability or altered metal specificity
These experimental designs provide insights into how essential cellular processes like metal transport have adapted to function optimally in extreme environments, with broader implications for understanding microbial evolution and adaptation .
Integration of CbiN research with systems biology requires multi-omics approaches:
Integrative modeling approaches:
Incorporation of CbiN and cobalt transport into genome-scale metabolic models of M. thermautotrophicus
Flux balance analysis to predict metabolic shifts under varying cobalt availability
Constraint-based modeling to identify cobalt-dependent bottlenecks in methanogenesis
Multi-omics integration:
Transcriptomic analysis of CbiN expression coordinated with other cobalt-dependent enzymes
Metabolomic profiling to identify shifts in cobalt-dependent pathways
Proteomics to map the dynamic interactome of CbiN under different conditions
Regulatory network mapping:
ChIP-seq analysis to identify transcription factors regulating CbiN expression
Identification of metal-responsive elements in the CbiN promoter region
Construction of gene regulatory networks connecting metal homeostasis to energy metabolism
Comparative systems analysis:
Cross-species comparison of cobalt transport systems and their integration with central metabolism
Evolutionary analysis of the co-adaptation of transport systems with metabolic pathways
This systems-level understanding contextualizes CbiN's role within the broader metabolic and regulatory networks of thermophilic methanogens .
Investigating CbiN's role in enzyme metalation requires specialized approaches:
Metal speciation analysis:
ICP-MS quantification of cobalt distribution in cellular compartments
Size exclusion chromatography coupled with ICP-MS to track cobalt incorporation into enzymes
X-ray absorption spectroscopy (XAS) to determine cobalt coordination environments
Metalloprotein characterization:
Activity assays of cobalt-dependent enzymes (e.g., methyl-coenzyme M reductase) under varying CbiN expression
Mass spectrometry to confirm metalation status of enzymes
Protein stability measurements of apo- versus holo-enzymes
In vivo trafficking studies:
Fluorescent cobalt sensors to track intracellular metal distribution
Time-resolved analysis of cobalt uptake and incorporation into target enzymes
Competition studies with other divalent metals (Ni2+, Zn2+, Fe2+)
Genetic manipulation approaches:
These methodologies provide mechanistic insights into how CbiN-mediated cobalt transport connects to downstream metalloenzyme assembly and function .
Distinguishing CbiN-specific effects requires careful experimental design:
These strategies help delineate the specific contribution of CbiN from other cobalt homeostasis mechanisms, providing a more accurate understanding of its physiological role .