KEGG: aci:ACIAD0034
STRING: 62977.ACIAD0034
SsuB belongs to the ATP-binding cassette (ABC) family, a group of proteins that actively transport various substrates across cellular membranes. As the ATP-binding component of the aliphatic sulfonates import system, SsuB provides the energy required for substrate translocation through ATP hydrolysis. Similar to other ABC transporters, SsuB likely contains conserved motifs including Walker A and B sequences, signature C motifs, and D, H, and Q loops that are critical for nucleotide binding and hydrolysis. The protein functions in conjunction with transmembrane domains to facilitate the import of aliphatic sulfonates, which can serve as alternative sulfur sources for the organism under sulfate-limiting conditions .
Based on successful approaches with other Acinetobacter proteins, the pET expression system using E. coli BL21(DE3) as a host is often the first choice for initial expression trials. This system offers tight regulation through the T7lac inducible promoter with IPTG induction. For recombinant SsuB expression, researchers should consider several factors:
Vector selection: pET-22b(+) with appropriate affinity tags (His-tag) facilitates purification
Expression host: E. coli BL21(DE3) strains are typically used for their reduced protease activity
Induction conditions: Optimized IPTG concentration (typically 0.1-1 mM) and temperature (often 16-25°C for membrane-associated proteins)
Growth media: Rich media such as LB or TB for high cell density
The expression construct should be verified via colony PCR and nucleotide sequencing before transformation into the expression host .
Translation initiation site accessibility significantly impacts recombinant protein expression success. Research analyzing 11,430 expression experiments shows that the accessibility of translation initiation sites (modeled using mRNA base-unpairing across Boltzmann's ensemble) strongly predicts expression outcomes. For SsuB protein, optimizing the accessibility of the start codon and surrounding nucleotides can dramatically improve translation efficiency.
The opening energy (ΔGopen) of the translation initiation region correlates with expression success, with lower energy barriers leading to higher expression levels. Synonymous substitutions in the first 9 codons can be strategically implemented to modulate this accessibility without altering the amino acid sequence. Tools like TIsigner can help design optimized sequences with improved accessibility profiles, potentially increasing SsuB production yields by 3-4 fold in some cases .
A robust true experimental design for optimizing SsuB production should incorporate random assignment, control groups, and manipulation of independent variables. Consider implementing:
Factorial designs to simultaneously evaluate multiple factors affecting SsuB expression:
Temperature (16°C, 25°C, 37°C)
Induction timing (early, mid, late log phase)
Inducer concentration (0.1, 0.5, 1.0 mM IPTG)
Media composition (minimal vs. rich media)
Response surface methodology to identify optimal conditions and potential interactions between variables
Control groups including:
Empty vector controls
Expression of known high-yielding proteins (positive control)
Non-induced cultures
This approach ensures internal validity through random assignment of culture conditions and controlled manipulation of variables. Blocking designs can help control for extraneous factors like batch effects or equipment variations. Measurement of dependent variables should include both protein yield and activity assessments to ensure functional protein production .
SsuB, as an ATP-binding protein, may present solubility challenges during recombinant expression. A comprehensive approach to improving solubility includes:
Assessment methods:
Small-scale expression trials with fractionation analysis (soluble vs. insoluble)
SDS-PAGE and Western blot analysis of supernatant and pellet fractions
Activity assays to confirm functional folding (ATP binding/hydrolysis)
Solubility enhancement strategies:
Expression temperature optimization (16-25°C often improves folding)
Co-expression with molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Fusion tags (MBP, SUMO, Thioredoxin) to enhance solubility
Buffer optimization during lysis and purification:
| Buffer Component | Range to Test | Purpose |
|---|---|---|
| NaCl | 100-500 mM | Ionic strength |
| Glycerol | 5-20% | Stabilization |
| Detergents | 0.1-1% | Membrane protein solubilization |
| Reducing agents | 1-10 mM DTT/BME | Prevent oxidation |
Additives screening for stabilization (ATP, Mg²⁺, specific substrates)
Purifying functional SsuB requires a carefully designed strategy that preserves the protein's native conformation and activity. Consider these critical factors:
Affinity tag selection: C-terminal His-tags are commonly used with pET vectors, minimizing interference with the N-terminal nucleotide-binding domain common in ABC transporters
Cell lysis conditions: Gentle lysis using enzymatic methods (lysozyme) or moderate sonication to prevent protein aggregation
Multi-step purification approach:
Immobilized metal affinity chromatography (IMAC) as initial capture step
Ion exchange chromatography for intermediate purification
Size exclusion chromatography as polishing step
Buffer optimization throughout the purification process:
Inclusion of ATP/ADP (0.1-1 mM) for stabilization
Magnesium ions (1-5 mM) as cofactors
Appropriate pH range (typically 7.0-8.0 for ABC proteins)
Quality control assessments:
Purity evaluation via SDS-PAGE and Western blot
Functional assessment through ATP binding/hydrolysis assays
Thermal stability analysis to guide buffer optimization
Monitor protein activity throughout purification to ensure the isolated protein retains its functional properties .
As an ATP-binding protein, SsuB's primary function involves nucleotide binding and hydrolysis. Several complementary techniques can assess these activities:
ATP Binding Assays:
Fluorescence-based methods:
Intrinsic tryptophan fluorescence quenching upon nucleotide binding
TNP-ATP binding (fluorescent ATP analog) with increased emission upon protein binding
Isothermal Titration Calorimetry (ITC):
Direct measurement of binding thermodynamics
Determination of dissociation constants (Kd), stoichiometry, and enthalpy changes
ATP Hydrolysis Assays:
Inorganic phosphate (Pi) release measurements:
Malachite green colorimetric assay
EnzChek phosphate assay (more sensitive)
Coupled enzyme assays:
Pyruvate kinase/lactate dehydrogenase system linking ATP hydrolysis to NADH oxidation
Continuous spectrophotometric monitoring at 340 nm
Experimental Design Considerations:
Temperature control (typically 25°C or 37°C)
Inclusion of appropriate divalent cations (Mg²⁺, Mn²⁺)
Testing ATP concentration ranges (10 μM to 5 mM)
Kinetic parameter determination (Km, Vmax, kcat)
These assays should be performed under conditions that mimic the protein's physiological environment, including appropriate pH, salt concentration, and presence of potential allosteric regulators .
SsuB's function depends on its interaction with membrane components to form a complete transport complex. Investigating these interactions requires specialized approaches:
Reconstitution Systems:
Proteoliposome reconstitution with purified membrane components
Nanodiscs to isolate and study specific protein-protein interactions
Detergent-solubilized complexes for initial characterization
Interaction Analysis Techniques:
Pull-down assays using affinity-tagged components
Surface plasmon resonance (SPR) for real-time interaction kinetics
Crosslinking studies to capture transient interactions
Förster resonance energy transfer (FRET) for dynamic studies in native-like environments
Functional Reconstitution:
Transport assays using fluorescent or radiolabeled substrate analogs
Assessment of ATP hydrolysis in the presence of transport substrates and membrane components
Evaluation of coupling efficiency between ATP hydrolysis and substrate transport
These studies should be complemented with structural analyses when possible, including negative-stain electron microscopy or cryo-EM to visualize the assembled complex .
Expression failures are common challenges in recombinant protein production, with approximately 50% of recombinant proteins failing to express in various host cells. When encountering difficulties with SsuB expression, implement this systematic troubleshooting approach:
Translation initiation optimization:
Analyze mRNA secondary structure around the start codon using computational tools
Implement synonymous codon changes in the first 9 codons to improve accessibility
Consider using TIsigner or similar tools to design optimized sequences with improved accessibility profiles
Expression strain evaluation:
Test multiple E. coli strains (BL21, C41/C43, Rosetta for rare codons)
Consider specialized strains for membrane-associated proteins
Evaluate different growth media formulations (TB, SOB, M9 minimal)
Induction parameter adjustment:
Reduce induction temperature (16-25°C)
Lower inducer concentration (0.01-0.1 mM IPTG)
Test auto-induction media to provide gradual induction
Vector and construct modifications:
Try alternative promoter systems (tac, arabinose)
Test different fusion tags (MBP, GST, SUMO)
Consider codon optimization for the entire gene sequence
Remember that apparently negative results in initial SDS-PAGE analysis might still represent successful but low-level expression that can be detected by more sensitive methods like Western blotting or activity assays .
Bioinformatic analyses provide valuable insights that can guide experimental design and troubleshooting for SsuB expression:
Sequence-based predictions:
Transmembrane domain prediction to identify potential membrane-associated regions
Secondary structure analysis to identify structured domains
Identification of conserved ABC transporter motifs (Walker A/B, signature C, D/H/Q loops)
Expression optimization tools:
Translation initiation site accessibility analysis
Codon usage optimization for expression host
mRNA stability prediction and optimization
Identification and removal of internal Shine-Dalgarno-like sequences
Comparative analysis:
Structure-guided alignments with characterized ABC transporters
Homology modeling based on crystal structures of related proteins
Identification of potential regulatory elements or post-translational modifications
Experimental design guidance:
Domain boundary prediction for construct design
Identification of stable subdomains for expression
Structure-based rational mutation design for functional studies
Applied systematically, these approaches can increase success rates from ~50% to >80% for challenging proteins like SsuB .
Recombinant protein overexpression creates metabolic burden that can significantly impact host cell physiology and ultimately affect protein yield and quality. Understanding and managing these effects is crucial for optimizing SsuB production:
Physiological monitoring:
Growth curve analysis comparing induced vs. non-induced cultures
Measurement of final cell density (OD600)
Viability assessment using flow cytometry or plate counts
Monitoring of stress response markers (e.g., heat shock proteins)
Metabolic burden assessment:
Analysis of cellular growth rates post-induction
Quantification of biomass yield coefficients
Measurement of central carbon metabolism fluxes
Evaluation of ribosomal capacity utilization
Optimization strategies based on physiological data:
Implementation of fed-batch cultivation to control growth rates
Design of induced-growth rate control strategies
Strategic timing of induction based on growth phase
Temperature shifting protocols to balance growth and expression
Stochastic simulation modeling:
Prediction of protein production rates and cell growth constraints
Evaluation of trade-offs between protein yield and host metabolism
Testing hypotheses about resource allocation during overexpression
Research indicates that higher accessibility of translation initiation sites leads to higher protein production but slower cell growth, supporting the concept of protein cost where cell growth is constrained by protein circuits during overexpression. Balancing these factors is key to optimal production strategies .
As an ATP-binding protein of the ABC transporter family, SsuB contains several highly conserved structural elements that are essential for its function:
Core nucleotide-binding domain architecture:
RecA-like subdomain containing Walker A and B motifs
Helical subdomain containing the signature C-motif (LSGGQ)
These domains form a "sandwich dimer" arrangement in functional state
Conserved sequence motifs and their functions:
| Motif | Consensus Sequence | Function |
|---|---|---|
| Walker A | GXXGXGKS/T | Phosphate binding |
| Walker B | ɸɸɸɸDE (ɸ=hydrophobic) | Mg²⁺ coordination and catalysis |
| C-motif (signature) | LSGGQ | Contacts ATP bound to opposite monomer |
| D-loop | SALD | Connects ATP binding to conformational changes |
| H-loop | H | Positions attacking water molecule |
| Q-loop | Q | Coordinates Mg²⁺ and senses γ-phosphate |
Critical residues for catalysis:
Lysine in Walker A: coordinates β- and γ-phosphates
Aspartate in Walker B: coordinates Mg²⁺
Glutamate in Walker B: catalytic base for water activation
Histidine in H-loop: positions attacking water molecule
Conformational changes during ATP binding and hydrolysis:
Closed dimer formation upon ATP binding
Rotation between domains during catalytic cycle
Signal transmission to transmembrane domains
Understanding the relationship between mRNA accessibility at the translation initiation site and SsuB protein production requires integrating experimental and computational approaches:
Experimental accessibility modulation:
Synonymous codon substitutions in the first 9 codons
Systematic alteration of predicted mRNA secondary structures
Measurement of expression levels from constructs with varying accessibility
Computational modeling approaches:
Stochastic simulation modeling of translation initiation
Prediction of ribosome binding and translation rates
Analysis of mRNA folding dynamics using Boltzmann's ensemble calculations
Determination of opening energies (ΔGopen) for translation initiation sites
Correlation analysis:
Relating computationally predicted accessibility to experimental expression levels
Identifying threshold values for successful expression
Determining the sensitivity of expression to incremental accessibility changes
Integrated optimization strategy:
Design of sequences with tailored accessibility profiles
Predictive modeling of expression outcomes
Experimental validation and iterative refinement
Development of "expression tuning" rather than simple maximization
Stochastic simulation models have shown that higher accessibility leads to higher protein production but slower cell growth, which provides a framework for understanding how to balance expression efficiency with host cell physiology for optimal outcomes .
Several cutting-edge technologies are poised to significantly advance recombinant SsuB research:
Cell-free protein synthesis systems:
Elimination of cellular viability constraints
Direct access to reaction conditions for optimization
Rapid prototyping of expression constructs
Incorporation of non-canonical amino acids for functional studies
CRISPR-Cas9 based host cell engineering:
Knockout of inhibitory host factors
Integration of supporting metabolic pathways
Creation of specialized chassis strains for ABC transporter expression
Genome-scale optimization of cellular resources
Advanced structural biology techniques:
Cryo-EM for structure determination without crystallization
Single-molecule FRET for dynamic conformational studies
Hydrogen-deuterium exchange mass spectrometry for conformational analysis
Integrative structural biology combining multiple data sources
Artificial intelligence for expression optimization:
Machine learning algorithms predicting expression outcomes
Neural networks for sequence optimization
Automated experimental design and execution
Integration of multi-omics data for holistic understanding
These technologies promise to overcome current limitations in recombinant protein production and provide deeper insights into the structure-function relationships of SsuB and other ABC transporters .
Acinetobacter species, particularly A. baumannii, have emerged as significant nosocomial pathogens with alarming antibiotic resistance. Integrating SsuB studies within this broader context can yield valuable insights:
Role in nutrient acquisition and survival:
SsuB involvement in alternative sulfur source acquisition
Contribution to survival in sulfate-limited environments
Potential role in host-pathogen interactions
Connection to metabolic adaptation during infection
Relationships with virulence mechanisms:
Correlation with biofilm formation capabilities
Potential interplay with other virulence factors
Expression patterns during infection processes
Regulation in response to host environment stresses
Connections to antimicrobial resistance:
Potential involvement in efflux of antimicrobial compounds
Co-regulation with other resistance mechanisms
Expression changes in response to antibiotic exposure
Contribution to persistence under antibiotic pressure
Comparative analysis across clinical isolates:
Sequence and expression variation in diverse strains
Correlation of variants with clinical outcomes
Identification of strain-specific functional adaptations
Potential as a target for novel therapeutic approaches