KEGG: bcz:BCE33L3678
Bacillus cereus is a Gram-positive, facultative anaerobic bacterium that belongs to the Bacillus cereus group. This organism is widely distributed in soil and various food products, with the potential to cause food poisoning through the production of enterotoxins and emetic toxins. B. cereus is closely related to other species in the Bacillus cereus group, including B. anthracis and B. thuringiensis, which can be differentiated through molecular typing methods such as Multilocus Sequence Typing (MLST) . The genetic diversity among B. cereus strains contributes to variations in virulence factors and protein expression profiles, including proteins like BCE33L3678.
For the expression of recombinant B. cereus proteins, including BCE33L3678, several systems can be employed:
E. coli expression systems: BL21(DE3) strains are commonly used for initial expression trials due to their high yield and simplicity. For optimal expression:
Use autoinduction media to minimize toxicity
Optimize induction conditions (temperature: 16-37°C; IPTG concentration: 0.1-1.0 mM)
Consider fusion tags (His, GST, MBP) to enhance solubility
Bacillus subtilis expression systems: When working with Bacillus proteins, B. subtilis can provide a more native-like environment with proper post-translational modifications.
Cell-free expression systems: For potentially toxic proteins, cell-free systems can circumvent growth inhibition issues.
Expression should be verified through SDS-PAGE and Western blotting, with purification typically performed using affinity chromatography followed by size exclusion chromatography to ensure purity for downstream applications.
The stability of recombinant BCE33L3678 protein requires careful consideration of buffer conditions:
| Buffer Component | Recommended Range | Rationale |
|---|---|---|
| pH | 6.8-7.5 | Most B. cereus proteins maintain stability in neutral pH |
| Salt (NaCl) | 150-300 mM | Prevents non-specific interactions |
| Reducing agent | 1-5 mM DTT or 0.5-2 mM TCEP | Prevents disulfide bond formation |
| Stabilizers | 5-10% glycerol | Enhances protein stability |
| Protease inhibitors | PMSF (1 mM), EDTA (1 mM) | Prevents degradation |
For long-term storage, flash-freezing aliquots in liquid nitrogen and storing at -80°C with 10-15% glycerol is recommended to prevent freeze-thaw damage. Activity should be reassessed after storage to ensure functional integrity is maintained.
A multi-step purification strategy is recommended to achieve high purity recombinant BCE33L3678:
Initial capture: If using His-tagged protein, employ immobilized metal affinity chromatography (IMAC) with Ni-NTA resin. Use low imidazole (10-20 mM) in washing buffers to minimize non-specific binding.
Intermediate purification: Ion exchange chromatography based on the protein's theoretical pI (use anion exchange if pI < 7, cation exchange if pI > 7).
Polishing: Size exclusion chromatography using a Superdex 75 or 200 column to separate monomeric protein from aggregates.
Quality assessment: Analyze purity via SDS-PAGE (>95% purity) and verify identity through mass spectrometry.
For optimal results, maintain all buffers at 4°C and process samples quickly to minimize degradation. Consider adding stabilizers like 10% glycerol if the protein shows instability. Yield optimization may require adjusting cell lysis conditions (sonication parameters, detergent concentration for membrane-associated proteins).
Validating biological activity of BCE33L3678 requires multiple complementary approaches:
Functional assays: Though specific enzymatic activity of UPF0747 family proteins is not well-characterized, general approaches include:
Substrate utilization assays if putative catalytic domains are identified
Protein-protein interaction studies using pull-down assays or surface plasmon resonance
Monitoring cellular phenotypes in BCE33L3678 knockout vs. complementation strains
Structural integrity assessment:
Circular dichroism (CD) spectroscopy to confirm proper secondary structure
Thermal shift assays to evaluate protein stability
Dynamic light scattering to assess homogeneity and absence of aggregation
In vitro transcription/translation systems:
Cell-free systems can be used to evaluate if BCE33L3678 affects protein synthesis
RNA binding assays if regulatory functions are suspected
For activity validation, a pH range assessment should be performed, as B. cereus proteins may have optimal activity under specific conditions. For instance, some B. cereus enzymes demonstrate optimal activity at acidic pH (3.5-5.0), similar to human Cathepsin D .
To investigate protein-protein interactions involving BCE33L3678, several complementary techniques are recommended:
Pull-down assays: Using tagged BCE33L3678 as bait to capture interacting partners from B. cereus lysate, followed by mass spectrometry identification. This approach can identify both strong and weak interactors.
Bacterial two-hybrid systems: Modified for Gram-positive bacteria to identify direct protein interactions in a cellular context.
Surface plasmon resonance (SPR): For quantitative measurement of binding kinetics and affinity constants between BCE33L3678 and putative binding partners.
Cross-linking coupled with mass spectrometry: To capture transient interactions and identify interaction interfaces within protein complexes.
Co-immunoprecipitation: If antibodies against BCE33L3678 are available, this method can confirm interactions under native conditions.
| Technique | Advantages | Limitations | Data Interpretation |
|---|---|---|---|
| Pull-down | Identifies multiple partners | Potential false positives | Require validation by orthogonal methods |
| Bacterial two-hybrid | In vivo context | Limited to binary interactions | Positive clones require sequence verification |
| SPR | Quantitative kinetics | Requires purified proteins | Analyze association/dissociation constants |
| Cross-linking MS | Captures transient interactions | Complex data analysis | Identify crosslinked peptides at interfaces |
When performing these studies, including appropriate controls is essential to distinguish specific from non-specific interactions.
While specific information about BCE33L3678's role in virulence is limited, we can analyze its potential contributions based on B. cereus pathogenicity mechanisms:
B. cereus pathogenicity primarily involves two types of toxins: diarrheal toxins (HBL, NHE, CytK) and emetic toxin (cereulide) . B. cereus strains commonly harbor multiple virulence genes, with 39% of isolates containing the hblACD gene cluster and 83% containing the nheABC gene cluster . The entFM gene is present in all B. cereus strains examined in recent studies, while cytK appears in 68% of isolates .
To investigate BCE33L3678's potential role in virulence:
Comparative genomics approach: Analyze the presence and conservation of BCE33L3678 across virulent and non-virulent B. cereus strains, particularly those with well-characterized toxin profiles.
Gene knockout studies: Generate BCE33L3678 deletion mutants and assess changes in:
Toxin production (quantify HBL, NHE, CytK, and cereulide levels)
Adherence to epithelial cells
Biofilm formation capacity
Resistance to environmental stressors
Transcriptomic analysis: Compare gene expression patterns between wild-type and BCE33L3678 mutants under conditions that simulate the host environment (pH 5-7, 37°C, nutrient limitation).
In vivo virulence models: Evaluate the impact of BCE33L3678 deletion on pathogenicity using appropriate animal or cell culture models.
Given that UPF0747 family proteins have unknown functions, BCE33L3678 could potentially function as a regulator of virulence factor expression, contribute to stress adaptation, or play a role in host cell interaction pathways.
Structural characterization of UPF0747 family proteins, including BCE33L3678, presents several challenges:
Expression and solubility issues:
UPF0747 proteins may form inclusion bodies when overexpressed
Optimization strategies include:
Reducing expression temperature (16-20°C)
Using solubility-enhancing fusion partners (MBP, SUMO)
Screening multiple construct boundaries to identify stable domains
Crystallization barriers:
Proteins with unknown functions often lack known ligands that might stabilize conformation
Surface entropy reduction (replacing clusters of high-entropy residues with alanines) may improve crystal packing
High-throughput crystallization screening (>1000 conditions) is recommended
NMR spectroscopy challenges:
Size limitations may require domain-by-domain analysis
Isotopic labeling (15N, 13C) is necessary for structural determination
Optimization of sample conditions (pH, ionic strength, temperature) is critical for spectral quality
Computational prediction limitations:
Low sequence homology to characterized proteins limits template-based modeling
Ab initio methods may provide low-confidence models requiring experimental validation
Emerging approaches like AlphaFold2 may offer improved predictions
For BCE33L3678, a fragment-based approach targeting predicted domains may prove more successful than attempting to solve the structure of the full-length protein simultaneously.
B. cereus demonstrates considerable genetic diversity, with 368 isolates belonging to 192 different sequence types (STs) including 93 new STs as identified through multilocus sequence typing (MLST) . This genetic variability likely influences BCE33L3678 expression patterns across strains.
To investigate strain-specific BCE33L3678 expression:
Comparative genomics analysis:
Examine BCE33L3678 gene presence, sequence conservation, and promoter regions across multiple B. cereus strains
Analyze genomic context to identify potential operon structures or regulatory elements
Transcriptomic profiling:
Perform RT-qPCR or RNA-seq analysis of BCE33L3678 expression across representative strains from different clonal complexes
Compare expression under standardized growth conditions (rich media, minimal media, stress conditions)
| Strain Characteristics | Expected Expression Pattern | Experimental Approach |
|---|---|---|
| Food isolates | May correlate with adaptation to specific food matrices | Compare expression in meat vs. rice/noodle isolates |
| Clinical isolates | Potentially higher expression if linked to virulence | Compare food vs. clinical isolate expression |
| Different STs | May show ST-specific regulation | Group expression data by ST and analyze for patterns |
Protein level verification:
Develop specific antibodies against BCE33L3678 for Western blot analysis
Use targeted proteomics (PRM/MRM) for absolute quantification across strains
This comparative analysis may reveal correlations between BCE33L3678 expression levels and strain-specific characteristics such as virulence potential, ecological niche, or host association.
Determining the function of uncharacterized UPF0747 family proteins like BCE33L3678 requires an integrated approach:
Bioinformatic analysis:
Sequence-based predictions: Search for conserved domains, motifs, or catalytic signatures
Structural homology modeling: Predict function based on structural similarity to characterized proteins
Genomic context analysis: Examine neighboring genes for functional clues (operon structure)
Gene knockout and phenotypic screening:
Generate BCE33L3678 deletion mutants using CRISPR-Cas9 or allelic exchange
Perform high-throughput phenotypic screening:
Protein interaction mapping:
Identify interaction partners using techniques described in section 2.3
Perform co-expression analysis to identify genes with correlated expression patterns
Heterologous expression and complementation:
Express BCE33L3678 in model organisms with well-characterized genetics
Test if BCE33L3678 can complement known mutant phenotypes
Biochemical function screening:
Test for enzymatic activities (hydrolase, transferase, etc.) using substrate panels
Examine protein modification states to identify potential regulatory mechanisms
By integrating data from these approaches, researchers can develop hypotheses about BCE33L3678 function that can be tested with targeted experiments.
CRISPR-Cas9 genome editing in B. cereus requires specific optimizations for studying BCE33L3678:
Vector system selection:
Temperature-sensitive plasmids (pBCE or pHT01-based) for controllable replication
Inducible promoters (Pxyl or Pspac) to regulate Cas9 expression and minimize toxicity
sgRNA design considerations:
Target specificity: Design sgRNAs with minimal off-target effects using tools like CHOPCHOP
PAM selection: Use NGG PAM sites near the target region
Efficiency prediction: Score potential sgRNAs using algorithms that predict cutting efficiency
Homology-directed repair (HDR) template design:
For gene deletion: 500-1000 bp homology arms flanking BCE33L3678
For tagging: Insert tags while maintaining reading frame
For point mutations: Include silent mutations in the PAM or seed region to prevent re-cutting
Transformation protocol optimization:
Prepare competent cells at early-mid logarithmic phase (OD600 0.3-0.5)
Use glycine (1-3%) in growth media to weaken the cell wall
Optimize electroporation parameters: field strength 20-25 kV/cm, resistance 200-400 Ω
Screening strategies:
PCR-based genotyping to identify successful editing events
Sanger sequencing to confirm precise modifications
Phenotypic screening based on expected function
Controls and validation:
Include complementation strains to verify phenotypes are due to BCE33L3678 modification
Use whole-genome sequencing to check for off-target effects
This optimized CRISPR-Cas9 approach enables precise genetic manipulation of BCE33L3678 to investigate its function through gene knockout, domain deletion, or targeted mutagenesis.
B. cereus must adapt to various environmental stressors in soil, food, and host environments. BCE33L3678 may contribute to stress adaptation through several potential mechanisms:
Heat stress response:
Examine BCE33L3678 expression levels after heat shock (42-50°C)
Compare survival rates of wild-type vs. BCE33L3678 mutants under thermal stress
Investigate potential chaperone activity or interactions with known heat shock proteins
Acid tolerance:
Oxidative stress management:
Assess BCE33L3678 expression during exposure to hydrogen peroxide or superoxide
Measure oxidative damage markers in BCE33L3678 mutants
Test for potential antioxidant properties or interactions with redox-active proteins
Nutrient limitation response:
Monitor BCE33L3678 expression during starvation conditions
Compare growth of wild-type and mutant strains in minimal media
Investigate potential roles in nutrient scavenging or metabolic adaptation
Biofilm formation:
Evaluate BCE33L3678 contribution to biofilm development
Compare biofilm architecture and stability between wild-type and mutant strains
Investigate protein localization within biofilm structures
Stress response roles would be particularly relevant for B. cereus as a foodborne pathogen, as protein BCE33L3678 could potentially contribute to survival in food processing environments or during host infection.
Post-translational modifications (PTMs) of BCE33L3678 can significantly impact its function and interactions. The following analytical techniques are recommended for comprehensive PTM characterization:
Mass spectrometry-based approaches:
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) using multiple fragmentation methods (CID, ETD, HCD) to preserve labile modifications
Top-down proteomics to analyze intact protein and identify PTM combinations
Targeted MS methods (PRM/MRM) for quantitative analysis of specific modifications
Enrichment strategies for specific PTMs:
Phosphorylation: TiO2 or IMAC (Fe3+) enrichment
Glycosylation: Lectin affinity chromatography
Acetylation: Anti-acetyllysine antibody immunoprecipitation
Site-specific modification analysis:
Site-directed mutagenesis of potential PTM sites
Expression in PTM-deficient strains to assess functional impact
Specialized techniques for specific PTMs:
Phosphorylation: Phos-tag SDS-PAGE for mobility shift analysis
Glycosylation: Periodic acid-Schiff (PAS) staining
Disulfide bonds: Non-reducing vs. reducing SDS-PAGE
Sample preparation is critical for PTM analysis - rapid inactivation of cellular processes (flash freezing, TCA precipitation) helps preserve dynamic modifications. Different growth conditions should be tested, as PTMs often vary based on environmental factors.
When faced with conflicting experimental results regarding BCE33L3678 function, a systematic troubleshooting approach is essential:
Sources of experimental variability:
Strain differences: Genetic background can influence protein function
Growth conditions: Media composition, aeration, and growth phase affect protein expression
Protein preparation: Different purification methods may yield proteins with variable activity
Validation strategies:
Independent methodologies: Confirm findings using orthogonal techniques
Inter-laboratory validation: Standardize protocols and reproduce experiments in different settings
Dose-response relationships: Test across a range of concentrations to identify threshold effects
Statistical approaches:
Increase biological replicates (n≥3) to establish reproducibility
Apply appropriate statistical tests based on data distribution
Use power analysis to ensure sufficient sample size
Controlling for confounding factors:
Generate multiple mutant strains using different strategies (deletion, point mutation)
Create complementation strains to verify phenotype restoration
Use closely related proteins as controls
Resolution framework for contradictory results:
| Type of Discrepancy | Investigation Approach | Resolution Strategy |
|---|---|---|
| Activity differences | Test different buffer conditions | Identify optimal conditions for activity |
| Phenotype variations | Compare growth media and conditions | Document condition-specific effects |
| Localization conflicts | Use multiple tagging strategies | Determine if tags affect localization |
| Interaction disagreements | Vary interaction stringency | Characterize weak vs. strong interactions |
When publishing results, transparently report all experimental conditions and acknowledged limitations to facilitate reproducibility and resolution of discrepancies.
Designing BCE33L3678 constructs for optimal heterologous expression requires careful consideration of several factors:
Sequence optimization:
Codon optimization based on the expression host (E. coli, B. subtilis, etc.)
Remove rare codons that may cause translational pausing
Optimize GC content for the expression system
Eliminate internal Shine-Dalgarno-like sequences that may cause translational problems
Domain boundary selection:
Perform bioinformatic analysis to identify structured domains
Design multiple constructs with different N- and C-terminal boundaries
Consider structural information from homologous proteins when available
Include small extensions (±5 amino acids) around predicted domain boundaries
Fusion tag selection:
N-terminal tags: His6, GST, MBP, SUMO for enhanced solubility
C-terminal tags: Consider when N-terminal structure is critical for function
Cleavage sites: Include protease recognition sequences (TEV, PreScission, thrombin)
Dual tags: Consider orthogonal purification strategies (His-MBP, His-FLAG)
Expression vector selection:
Promoter strength: T7 for high expression, trc/tac for moderate expression
Induction system: IPTG, arabinose, tetracycline, or auto-induction
Copy number: Low copy plasmids for potentially toxic proteins
Selection marker: Consider antibiotic resistance compatible with host strain
Design for structural studies:
Surface entropy reduction: Replace clusters of high-entropy residues (Lys, Glu) with alanines
Cysteine minimization: Replace non-essential cysteines to prevent non-native disulfide formation
Crystallization chaperones: Consider fusion to proteins like T4 lysozyme or MBP
Planning multiple construct strategies in parallel increases the likelihood of obtaining soluble, active protein for functional and structural studies.