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This protein is likely a component of an ABC transporter complex, responsible for energy coupling to the transport system.
KEGG: bca:BCE_2668
BCE_2668 is a putative ATP-binding protein component of an ABC transporter system in Bacillus cereus, specifically identified as a heme ABC transporter ATP-binding protein. ABC transporters are integral membrane proteins that utilize the energy of ATP hydrolysis to transport various substrates across cellular membranes. In the case of BCE_2668, its classification as a heme transporter suggests it plays a critical role in iron acquisition, which is essential for bacterial growth and virulence .
Functionally, BCE_2668 likely contributes to B. cereus pathogenicity by facilitating iron uptake from the host environment. B. cereus is a Gram-positive, spore-forming bacterium associated with food poisoning and various non-gastrointestinal infections . The ability to acquire iron effectively through specialized transport systems like the one containing BCE_2668 may enhance the organism's survival in iron-limited host environments, making it a significant factor in virulence.
ABC transporter ATP-binding proteins such as BCE_2668 are characterized by several conserved motifs that facilitate their function in ATP binding and hydrolysis. These proteins typically contain:
Walker A and Walker B motifs: Conserved sequences that form the nucleotide-binding site
ABC signature motif (C-loop): Located between the Walker A and B motifs, this region is unique to ABC transporters
D-loop, H-loop, and Q-loop: Additional conserved regions involved in the coordination of ATP hydrolysis and the transmission of conformational changes to the transmembrane domains
BCE_2668 likely adopts the characteristic structural fold of ABC transporter nucleotide-binding domains, consisting of two subdomains: a larger RecA-like subdomain containing the Walker A and B motifs, and a smaller helical subdomain containing the ABC signature motif. The nucleotide binds at the interface between these subdomains, and ATP hydrolysis induces conformational changes that are transmitted to the transmembrane domains of the transporter to drive substrate translocation.
The specific sequence variations in these conserved regions may influence the efficiency of ATP binding and hydrolysis, potentially affecting the transport capacity of the complete ABC transporter system in which BCE_2668 functions.
Expressing and purifying recombinant BCE_2668 for functional studies requires careful optimization of expression systems and purification protocols. Based on current methodologies, the following approach is recommended:
Expression System Selection:
Multiple expression hosts can be used for BCE_2668 production, including E. coli, yeast, baculovirus, or mammalian cell systems . E. coli is typically the first choice due to its rapid growth and high protein yields. For BCE_2668, a strain like BL21(DE3) with a pET vector system containing a His-tag for purification would be optimal.
Optimization Protocol:
Clone the BCE_2668 gene into pET28a(+) vector with an N-terminal His-tag
Transform into E. coli BL21(DE3)
Culture in LB medium at 37°C until OD600 reaches 0.6-0.8
Induce with 0.5 mM IPTG
Shift temperature to 18°C for overnight expression (reduces inclusion body formation)
Purification Strategy:
Lyse cells in buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol, 1 mM PMSF
Clarify lysate by centrifugation at 18,000 × g for 45 minutes
Perform immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Wash with buffer containing 20-40 mM imidazole
Elute with buffer containing 250 mM imidazole
Apply size exclusion chromatography for further purification
This approach typically yields protein with ≥85% purity as determined by SDS-PAGE . For functional studies, it's crucial to confirm that the recombinant protein retains ATP-binding and hydrolysis activity using ATPase assays.
Characterizing the ATPase activity of BCE_2668 and establishing its role in heme transport requires a multi-faceted experimental approach:
ATPase Activity Assays:
Colorimetric Phosphate Detection: Measure inorganic phosphate release using malachite green or molybdate-based assays to quantify ATP hydrolysis rates.
Coupled Enzyme Assays: Link ATP hydrolysis to NADH oxidation through pyruvate kinase and lactate dehydrogenase, monitoring absorbance decrease at 340 nm.
Experimental Design for ATPase Characterization:
| Parameter | Method | Expected Outcome |
|---|---|---|
| Km and Vmax | Varying ATP concentrations (0.1-5 mM) | Michaelis-Menten kinetics |
| Metal ion dependency | Activity with Mg2+, Mn2+, Ca2+ (1-10 mM) | Typically highest with Mg2+ |
| pH optimum | Buffer range pH 6.0-9.0 | Usually pH 7.0-8.0 |
| Temperature optimum | 20-50°C range | Typically 30-37°C |
| Inhibitor sensitivity | Vanadate, BeFx concentrations | IC50 values |
Heme Transport Characterization:
Reconstitution Experiments: Incorporate purified BCE_2668 with other components of the putative heme transporter system into proteoliposomes.
Fluorescence-based Transport Assays: Use fluorescent heme analogs to monitor transport in real-time.
Radioactive Heme Uptake: Utilize 55Fe-labeled heme to quantify transport rates.
Growth Complementation: Express BCE_2668 in a heterologous host with defective heme transport and assess growth rescue in iron-limited conditions.
Interaction Studies:
Pull-down Assays: Identify partner proteins that form the complete transporter complex.
Surface Plasmon Resonance: Measure binding kinetics with heme and potential partner proteins.
These approaches would provide comprehensive characterization of BCE_2668's biochemical properties and functional role in heme transport, establishing its contribution to B. cereus iron acquisition mechanisms.
Comparative analysis of BCE_2668 with homologous proteins in other pathogenic bacteria reveals important evolutionary relationships and potential functional conservation:
Sequence Comparison Analysis:
BCE_2668 shares significant sequence homology with ATP-binding proteins of heme ABC transporters in related Gram-positive pathogens. The highest similarity is observed with other members of the Bacillus cereus group, including B. anthracis and B. thuringiensis (typically >90% identity). Moderate homology (40-60% identity) exists with Staphylococcus aureus HtsA and Streptococcus pyogenes SiaA, which are well-characterized heme transport proteins.
Key Conserved Domains Comparison:
| Motif | BCE_2668 Sequence | Conservation in Other Species | Functional Significance |
|---|---|---|---|
| Walker A | GXXGXGKS/T | Highly conserved | ATP binding |
| Walker B | hhhhDE | Highly conserved | Mg2+ coordination |
| ABC signature | LSGGQ | Moderately conserved | Distinguishes ABC transporters |
| D-loop | SALD | Varies | Interaction with second NBD |
| H-loop | XXPH | Highly conserved | ATP hydrolysis |
This comparative analysis provides insights into the evolutionary history of heme ABC transporters and may guide functional predictions based on characterized homologs in other species.
The optimal expression conditions for recombinant BCE_2668 vary significantly across different host systems. Each system offers distinct advantages and requires specific optimization parameters:
E. coli Expression System:
Recommended Strains: BL21(DE3), BL21(DE3)pLysS, or Rosetta(DE3) for rare codon usage
Vector Choice: pET28a(+) or pET-SUMO for improved solubility
Induction Parameters: 0.1-0.5 mM IPTG at OD600 0.6-0.8
Post-Induction Conditions: 18°C for 16-20 hours with shaking at 180 rpm
Media Supplements: 0.5% glucose to reduce basal expression; 5-10 μM FeSO4 may enhance folding
Typical Yield: 10-15 mg/L of culture
Yeast Expression System (Pichia pastoris):
Strain: X-33 or GS115
Vector: pPICZ containing methanol-inducible AOX1 promoter
Growth Phase: Grow to OD600 2-6 in buffered glycerol-complex medium
Induction: 0.5% methanol every 24 hours for 72-96 hours
Temperature: 25-28°C
Aeration: High aeration critical (>30% dissolved oxygen)
Typical Yield: 20-50 mg/L
Baculovirus Expression System:
Cell Line: Sf9 or High Five insect cells
Vector: pFastBac with polyhedrin promoter
Infection Parameters: MOI of 2-5, harvest 72 hours post-infection
Temperature: 27°C
Media Supplements: 10% FBS, gentamicin
Typical Yield: 5-10 mg/L
Mammalian Cell Expression:
Cell Line: HEK293 or CHO cells
Vector: pcDNA3.1 with CMV promoter
Transfection: Lipofectamine or calcium phosphate method
Selection: G418 for stable cell line development
Growth Conditions: 37°C, 5% CO2
Typical Yield: 1-5 mg/L
The choice of expression system should be guided by downstream applications. For structural studies requiring high protein yields, E. coli or yeast systems are preferred. For functional studies where proper post-translational modifications may be important, insect or mammalian expression systems may be more suitable despite their lower yields.
Multiple analytical techniques can be employed to effectively study BCE_2668 interactions with other ABC transporter components, each offering distinct advantages for characterizing different aspects of these interactions:
Protein-Protein Interaction Analysis:
Co-immunoprecipitation (Co-IP):
Particularly useful for identifying native interacting partners
Requires antibodies specific to BCE_2668 or epitope tags
Can be coupled with mass spectrometry for unbiased identification of interactors
Surface Plasmon Resonance (SPR):
Provides real-time, label-free measurement of binding kinetics
Can determine kon, koff, and KD values
Experimental setup: Immobilize BCE_2668 on a CM5 chip and flow other transporter components over the surface
Typical binding affinities between ABC transporter components range from 0.1-10 μM
Isothermal Titration Calorimetry (ITC):
Measures thermodynamic parameters (ΔH, ΔS, ΔG) of binding
Requires no labeling or immobilization
Typically requires 20-50 μM protein concentrations
Provides stoichiometry information
Microscale Thermophoresis (MST):
Measures changes in thermophoretic mobility upon binding
Requires minimal protein amounts (nM range)
Useful for difficult-to-express components
Structural Characterization of Complexes:
Crosslinking Mass Spectrometry (XL-MS):
Identifies proximal regions between interacting proteins
Use reagents like BS3 or DSS for lysine crosslinking
Provides distance constraints for modeling
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Maps interaction interfaces by measuring changes in deuterium uptake
Useful for studying conformational changes upon complex formation
Requires ~50-100 μg protein per condition
Cryo-Electron Microscopy:
Provides structural information of the entire transporter complex
Can capture different conformational states
Requires homogeneous sample preparation
Functional Interaction Studies:
ATPase Stimulation Assays:
Measures changes in BCE_2668 ATPase activity when other components are added
Key experiment: Titrate transmembrane domains against BCE_2668 and measure phosphate release
Fluorescence Resonance Energy Transfer (FRET):
Real-time measurement of protein interactions
Requires fluorescent labeling of components
Can be performed in reconstituted systems or in vivo
For optimal results, a combination of techniques should be employed. For instance, initial screening with Co-IP or pull-down assays can identify interaction partners, followed by SPR or ITC for quantitative binding parameters, and structural techniques like XL-MS or Cryo-EM for detailed complex characterization.
Assessing the impact of BCE_2668 mutations on B. cereus virulence and antibiotic resistance requires a multidisciplinary approach combining genetic manipulation, phenotypic characterization, and infection models:
Genetic Manipulation Strategies:
Allelic Exchange Mutagenesis:
Generate point mutations or deletions in chromosomal BCE_2668
Use temperature-sensitive plasmids (e.g., pMAD) for homologous recombination
Create mutations in key motifs: Walker A (K to A), Walker B (E to Q), or ABC signature motifs
CRISPR-Cas9 Gene Editing:
Design sgRNAs targeting BCE_2668
Introduce precise mutations via homology-directed repair
Verify mutations by sequencing
Complementation Analysis:
Express wild-type or mutant BCE_2668 from a plasmid in deletion strains
Use inducible promoters to control expression levels
Phenotypic Characterization:
Growth Analysis in Iron-Limited Conditions:
Compare growth curves of wild-type and mutant strains in media with iron chelators
Measure growth rate, lag phase, and maximum OD
Test complementation with exogenous heme or iron sources
Heme Uptake Assays:
Use 55Fe-labeled heme or fluorescent heme analogs
Quantify uptake rates in wild-type vs. mutant strains
Expected result: Mutations in key motifs would reduce uptake by 50-90%
Antibiotic Susceptibility Testing:
Virulence Assessment:
Toxin Production Analysis:
Cell Culture Infection Models:
Assess adhesion, invasion, and cytotoxicity in epithelial and macrophage cell lines
Measure LDH release, cytokine production, and cell viability
Compare intracellular survival rates
Animal Infection Models:
Galleria mellonella larval model for rapid virulence assessment
Mouse peritonitis or gastrointestinal infection models
Monitor survival rates, bacterial loads, and histopathology
Data Analysis and Interpretation:
| Mutation Type | Expected Phenotype | Virulence Impact | Antibiotic Resistance Impact |
|---|---|---|---|
| Walker A (K→A) | Loss of ATP binding | Reduced in iron-limited environments | Potential hypersensitivity to certain antibiotics |
| Walker B (E→Q) | Binds but doesn't hydrolyze ATP | Intermediate reduction in virulence | Minimal change in resistance profile |
| D-loop mutations | Disrupted dimer formation | Strain-dependent effects | Variable effects depending on antibiotic |
| Transmembrane interface | Disrupted communication with TMDs | Reduced toxin production | Potential membrane permeability changes |
These comprehensive approaches would provide insights into how BCE_2668 contributes to B. cereus pathogenesis and antibiotic resistance, potentially identifying new therapeutic targets.
Differentiating between the roles of BCE_2668 and other ABC transporters in B. cereus virulence requires strategic experimental design and careful data interpretation:
Comparative Genomics and Transcriptomics Approach:
Genomic Context Analysis:
Examine the operon structure containing BCE_2668
Identify co-transcribed genes that may form a functional unit
Compare with similar operons in related species
Transcriptional Profiling:
Functional Discrimination Studies:
Substrate Specificity Determination:
Develop transport assays with labeled potential substrates
Compare transport kinetics between different ABC systems
Use competition assays to determine substrate preference
Selective Inhibition:
Design specific inhibitors targeting unique structural features of BCE_2668
Assess effects on transport activity and virulence
Validate specificity using mutant strains
Multi-deletion Strategy:
Data Interpretation Framework:
| Experiment | BCE_2668-Specific Role | Redundant Function | Technical Considerations |
|---|---|---|---|
| Growth in iron-limited media | Significant growth defect in ΔbCE_2668 only | Similar defects across multiple transporter mutants | Control for media batch variation |
| Heme transport assays | High specificity for heme | Multiple transporters show heme transport | Use purified components in reconstituted systems |
| Virulence factor production | Selective impact on specific toxins | Global reduction in all toxins | Normalize to growth rates |
| Animal infection models | Tissue-specific attenuation | Uniform attenuation across tissues | Consider strain background effects |
Statistical Approach for Attributing Virulence Contributions:
Apply multiple regression models to quantify the contribution of each transporter to virulence phenotypes
Use principal component analysis to identify patterns of virulence factor expression associated with specific transporters
Develop network models incorporating transcriptomic and proteomic data to map functional relationships between transporters
Through these approaches, researchers can establish whether BCE_2668 plays a unique and non-redundant role in B. cereus virulence or functions as part of a redundant system with other transporters. This information is crucial for determining its potential as a therapeutic target.
A comprehensive bioinformatic analysis of BCE_2668 structure-function relationships requires leveraging multiple specialized tools and databases:
Sequence Analysis Resources:
UniProt/SwissProt:
Primary resource for curated protein annotations
Provides functional domains, post-translational modifications, and literature references
Access BCE_2668 homologs across bacterial species
Conserved Domain Database (CDD):
Identifies conserved domains like the ABC transporter nucleotide-binding domain
Maps functionally important residues within these domains
Particularly useful for identifying Walker A, Walker B, and ABC signature motifs
PFAM:
Classifies BCE_2668 within the appropriate ABC transporter family
Provides multiple sequence alignments with related proteins
Highlights key conserved residues across the family
Structural Analysis Tools:
AlphaFold2/RoseTTAFold:
Generate high-confidence structural models of BCE_2668
Particularly valuable in the absence of experimental structures
Confidence metrics help identify reliable regions of the model
PyMOL/UCSF Chimera:
Visualize structural models and map functional residues
Generate publication-quality structural figures
Perform structural alignments with homologous proteins
CASTp/POCASA:
Identify potential binding pockets and cavities
Analyze ATP-binding site geometry
Discover potential allosteric sites
Evolutionary Analysis Resources:
ConSurf:
Map evolutionary conservation onto protein structure
Identify functionally important residues under evolutionary constraint
Generate conservation scores for each amino acid position
PAML/HYPHY:
Detect signatures of positive selection
Identify residues potentially involved in host adaptation
Particularly useful when comparing BCE_2668 across different Bacillus species
Systems Biology Resources:
STRING Database:
Map protein-protein interaction networks involving BCE_2668
Identify functional partners based on multiple evidence types
Useful for understanding the broader functional context
SubtiList/BacilluScope:
Bacillus-specific genomic databases
Provide operon structure and regulatory information
Enable comparison across multiple Bacillus species
Integrated Analysis Workflow:
| Analysis Stage | Primary Tools | Expected Insights | Output Format |
|---|---|---|---|
| Initial sequence characterization | UniProt, PFAM, CDD | Domain boundaries, conserved motifs | Annotated sequence map |
| Structural modeling | AlphaFold2, Swiss-Model | 3D structure, confidence metrics | PDB format files |
| Functional site prediction | ConSurf, CASTp | ATP-binding site, protein interaction surfaces | Colored structure models |
| Evolutionary analysis | MEGA, PAML | Phylogenetic relationships, selection pressure | Phylogenetic trees, dN/dS ratios |
| Network context | STRING, KEGG | Pathway integration, functional partners | Interaction networks |
This comprehensive bioinformatic approach provides a strong foundation for generating hypotheses about BCE_2668 function that can be tested experimentally. The integration of sequence, structural, and systems-level analyses offers the most complete picture of how BCE_2668's structure relates to its role in heme transport and B. cereus virulence.
Contradictory results in BCE_2668 functional studies can arise from multiple sources and require careful analysis to reconcile with its predicted pathogenicity role. This systematic approach helps resolve such discrepancies:
Sources of Experimental Contradictions:
Strain Variation Effects:
B. cereus is genetically diverse with 192 different sequence types identified
Sequence polymorphisms in BCE_2668 across strains may alter function
The genetic background influences phenotypic outcomes of mutations
Resolution Approach: Perform comparative studies across multiple reference strains and clinical isolates. Sequence BCE_2668 and its operon in each strain to correlate genetic variations with functional differences.
Redundancy in Transport Systems:
Multiple ABC transporters may have overlapping functions
Compensatory upregulation of alternative transporters in BCE_2668 mutants
Context-dependent essentiality based on available iron sources
Resolution Approach: Conduct transcriptomic and proteomic analyses of BCE_2668 mutants to identify compensatory changes. Create multiple knockout strains to overcome redundancy.
Experimental Condition Variables:
Iron and heme availability dramatically affects transporter functionality
Growth phase influences transporter expression
Host-derived signals may regulate transporter activity
Resolution Approach: Standardize experimental conditions and test across multiple physiologically relevant environments, including serum, tissue models, and varying iron concentrations.
Data Integration Framework:
| Contradiction Type | Example Scenario | Reconciliation Strategy | Expected Outcome |
|---|---|---|---|
| Gene essentiality | BCE_2668 deletion shows no growth defect in standard media but attenuates virulence in vivo | Test growth in iron-restricted conditions mimicking host environment | Reveals condition-dependent essentiality |
| Transport activity | Purified BCE_2668 shows ATPase activity but no stimulation by heme | Reconstitute with partner proteins from complete transporter complex | Demonstrates requirement for protein-protein interactions |
| Virulence contribution | BCE_2668 mutant shows reduced virulence in one infection model but not another | Analyze tissue-specific iron availability and immune responses | Maps context-dependent virulence contribution |
Advanced Approaches for Resolving Contradictions:
Time-Resolved Studies:
Track BCE_2668 contribution throughout infection progression
Measure dynamic changes in expression and activity
Identify critical time points for BCE_2668 function
Single-Cell Analysis:
Examine heterogeneity in BCE_2668 expression within bacterial populations
Correlate with survival in stressful environments
May reveal subpopulation-specific roles
Structurally-Guided Functional Analysis:
Engineer BCE_2668 variants with specific functional alterations
Create separation-of-function mutations
Distinguish between different biochemical activities
Systems Biology Integration:
Develop mathematical models incorporating BCE_2668 into iron homeostasis networks
Simulate effects of perturbations under different conditions
Generate testable predictions to resolve contradictions
This comprehensive approach acknowledges that apparent contradictions often reflect our incomplete understanding of biological complexity rather than experimental error. By systematically exploring BCE_2668 function across different genetic backgrounds, environmental conditions, and experimental systems, researchers can develop a more nuanced understanding of its role in B. cereus pathogenicity.
The study of BCE_2668 and related ABC transporters in Bacillus cereus presents several promising research directions that could significantly advance our understanding of bacterial pathogenesis and potentially lead to new therapeutic approaches. These future directions build upon current knowledge while addressing critical gaps:
Structural Biology Approaches:
The determination of high-resolution structures of BCE_2668 alone and in complex with its transmembrane partners represents a significant opportunity. Cryo-electron microscopy and X-ray crystallography could reveal the molecular mechanisms of ATP binding, hydrolysis, and the conformational changes that drive transport. These structures would provide templates for structure-based drug design targeting this transport system.
Systems-Level Understanding:
Integrating BCE_2668 function into the broader context of B. cereus metabolism and virulence networks remains a critical challenge. Multi-omics approaches combining transcriptomics, proteomics, and metabolomics could map how BCE_2668 activity influences global cellular processes under different environmental conditions, particularly during host infection.
Host-Pathogen Interface Studies:
Investigating how BCE_2668-mediated heme acquisition interacts with host iron-withholding defense mechanisms represents an exciting frontier. The competition between bacterial iron acquisition systems and host nutritional immunity plays a crucial role in determining infection outcomes. Understanding this interface could reveal new strategies for infection control.
Translational Applications:
The development of specific inhibitors targeting BCE_2668 and related transporters could provide new approaches to combat B. cereus infections. The high rate of antibiotic resistance observed in B. cereus isolates (>98.91% resistant to five or more antimicrobials) highlights the urgent need for alternative therapeutic strategies. ABC transporters represent attractive targets due to their essential roles and surface accessibility.