Succinyl-CoA ligase (SUCL) is a mitochondrial or bacterial enzyme critical to the tricarboxylic acid (TCA) cycle, catalyzing the reversible conversion of succinyl-CoA to succinate while generating ATP (or GTP) . The enzyme comprises two subunits:
Alpha subunit (sucD): Binds CoA and stabilizes the enzyme complex.
Beta subunit (sucC): Determines nucleotide specificity (ADP or GDP) for ATP/GTP synthesis .
In Bacillus cereus, the ADP-forming beta subunit (sucC) enables ATP production during this reaction. Recombinant versions of this subunit are engineered for biochemical studies, structural analysis, and industrial applications.
TCA cycle regulation: Converts succinyl-CoA to succinate, linking energy production with biosynthetic pathways.
Redox homeostasis: Indirectly supports antioxidant defense by maintaining metabolic flux .
Stress adaptation: Facilitates survival under oxidative or nutrient-limited conditions through ATP synthesis .
Unique features in *B. cereus*:
Unlike mitochondrial SUCLA2 (human homolog), bacterial sucC operates in cytosolic or membrane-associated compartments.
Critical for anaerobic respiration and toxin production under stress .
KEGG: bcq:BCQ_3621
Bacillus cereus Succinyl-CoA ligase [ADP-forming] subunit beta (sucC) is a critical component of the Krebs cycle (TCA cycle). This enzyme, also known as BCQ_3621, EC 6.2.1.5, or Succinyl-CoA synthetase subunit beta (SCS-beta), catalyzes the reversible conversion of succinyl-CoA to succinate with concomitant synthesis of ATP via substrate-level phosphorylation .
Multiple expression systems have been validated for recombinant production of Bacillus cereus sucC, each with distinct advantages:
| Expression System | Typical Purity | Applications | Considerations |
|---|---|---|---|
| E. coli | >85% (SDS-PAGE) | Structural studies, enzymatic assays | Cost-effective, high yield, potential endotoxin issues |
| Yeast | >85% (SDS-PAGE) | Eukaryotic post-translational modifications | More complex cultivation, moderate yield |
| Baculovirus | >85% (SDS-PAGE) | Complex folding requirements | Higher cost, superior folding for complex proteins |
| Mammalian cell | >85% (SDS-PAGE) | Maximum authenticity to native structure | Highest cost, lower yield, ideal for interaction studies |
For optimal experimental design, researchers should select the expression system based on their specific downstream applications. For basic enzymatic studies, E. coli-derived protein is typically sufficient, while interaction studies may benefit from mammalian expression systems .
Methodological approach for quality assessment:
Purity verification: SDS-PAGE analysis with Coomassie staining (target >85% purity). Western blot analysis using anti-sucC antibodies provides specificity confirmation.
Activity assessment: Measure enzymatic activity through:
Spectrophotometric assay tracking the conversion of succinyl-CoA to succinate
Coupling with pyruvate kinase and lactate dehydrogenase to monitor ADP production through NADH oxidation
Standard assay conditions: 50 mM Tris-HCl (pH 7.4), 10 mM MgCl₂, 0.1 mM succinyl-CoA, 0.5 mM ADP at 37°C
Structural integrity: Circular dichroism spectroscopy to assess secondary structure integrity compared to native enzyme.
When designing experiments to investigate sucC functions, implement these methodological controls:
Enzymatic activity controls:
Positive control: Commercially validated succinyl-CoA ligase
Negative control: Heat-inactivated enzyme preparation
Substrate specificity control: Test with alternative CoA derivatives
Expression system controls:
Empty vector expression in parallel with sucC-expressing vector
Wild-type enzyme versus site-directed mutants of catalytic residues
Functional studies controls:
These controls enable researchers to differentiate between specific sucC-mediated effects and non-specific experimental artifacts.
Based on recent findings that SUCLA2 (human homolog of sucC) demonstrates functions beyond the TCA cycle, researchers should consider these methodological approaches:
Subcellular localization studies:
Protein interaction screening:
Pull-down assays with recombinant sucC as bait
Yeast two-hybrid or mammalian two-hybrid screening
Co-immunoprecipitation studies followed by mass spectrometry
Functional dissection:
Site-directed mutagenesis to separate catalytic function from potential protein-interaction domains
Domain swapping experiments between sucC and related proteins
Complementation studies in eukaryotic cells using the Bacillus cereus protein
Recent research indicates that SUCLA2 can relocate from mitochondria to cytosol upon cellular stress and may interact with stress granules, suggesting similar potential non-canonical roles for bacterial sucC that warrant investigation .
Recent studies indicate that SUCLA2 (human homolog) plays a crucial role in redox homeostasis independent of its TCA cycle function . To investigate whether Bacillus cereus sucC has similar properties:
Redox state measurement methodologies:
Fluorescent redox sensors (e.g., roGFP) in recombinant Bacillus cereus strains with sucC variants
Direct measurement of ROS using fluorescent probes (DCF-DA, MitoSOX)
Quantification of reduced/oxidized glutathione ratios in wild-type vs. sucC-modified strains
Stress response experimental design:
Challenge cultures with oxidative stressors (H₂O₂, paraquat) at sublethal concentrations
Assess survival rates and recovery kinetics between wild-type and sucC-modified strains
Measure expression of antioxidant enzymes (catalase, superoxide dismutase) in response to sucC manipulation
Proteomic analysis:
Compare the stress granule proteome between wild-type and sucC-mutant strains
Identify potential stress-responsive proteins that interact with sucC
Quantify changes in antioxidant enzyme expression and activity
This methodological framework allows researchers to systematically explore potential redox-related functions of Bacillus cereus sucC beyond its canonical metabolic role .
When faced with contradictory data regarding sucC localization or function, implement these methodological solutions:
Spatiotemporal analysis:
Use time-course experiments with fine temporal resolution to capture transient localizations
Employ super-resolution microscopy (STORM, PALM) for precise subcellular localization
Correlate localization changes with specific cellular stress phases
Mutational analysis framework:
Generate a panel of sucC mutants with targeted modifications to functional domains
Test each mutant for both canonical (TCA cycle) and potential non-canonical functions
Create chimeric proteins to identify domains responsible for specific localizations or functions
Heterologous expression system comparison:
Express Bacillus cereus sucC in diverse cellular backgrounds (bacterial, yeast, mammalian)
Compare localization and function across systems to identify context-dependent behaviors
Perform complementation studies with sucC homologs from related species
When analyzing contradictory data, researchers should systematically evaluate experimental conditions, including buffer compositions, cellular state (exponential vs. stationary phase), and stress conditions that might reveal condition-specific functions .
Advanced genetic manipulation techniques for studying sucC function:
Gene deletion and complementation strategy:
Create a sucC deletion strain using homologous recombination
Complement with wild-type or mutant versions under native or inducible promoters
Analyze phenotypic changes in growth, stress resistance, and metabolic profiles
Promoter manipulation approach:
Fusion protein strategy:
Create translational fusions with reporter proteins (GFP, luciferase)
Engineer split protein complementation systems to detect protein-protein interactions
Develop FRET-based sensors to monitor conformational changes during enzymatic activity
As demonstrated in related research with Bacillus species, manipulation of regulatory genes (like scoC) can significantly impact enzyme expression and activity. For example, deletion of the scoC regulatory gene in Bacillus cereus led to a 58% increase in protease activity, suggesting similar approaches might reveal regulatory mechanisms for sucC expression .
When experimental data contradicts established models of sucC function, apply this structured approach:
Data validation protocol:
Verify experimental reproducibility with increased biological and technical replicates
Employ alternative methodologies to confirm observations
Perform statistical power analysis to ensure adequate sample size
Model reconciliation framework:
Consider context-dependent functions (stress conditions, growth phase, nutrient availability)
Develop integrative models incorporating both canonical and non-canonical functions
Explore potential moonlighting functions under specific conditions
Comparative analysis:
Examine whether contradictions exist in homologs from other species
Consider evolutionary context that might explain functional divergence
Review literature for similar contradictions in related enzymes
As noted in research literature, unexpected findings can lead to new discoveries. For example, the discovery that SUCLA2 functions outside the TCA cycle in stress response was initially contradictory to established models but led to new understanding of cancer cell survival mechanisms .
| Data Contradiction Type | Validation Method | Potential Explanation |
|---|---|---|
| Unexpected localization | Multiple visualization techniques | Condition-dependent translocation |
| Functional discrepancy | Orthogonal activity assays | Moonlighting protein behavior |
| Interaction inconsistency | Multiple binding assays | Transient or weak interactions |
| Phenotypic variation | Complementation studies | Genetic background effects |
To rigorously differentiate between canonical TCA cycle functions and potential non-canonical roles:
Catalytic site mutation approach:
Generate catalytically inactive sucC mutants (targeting known active site residues)
Test for persistence of non-canonical functions despite loss of enzymatic activity
Compare phenotypes between wild-type, knockout, and catalytically inactive mutants
Metabolic bypass strategy:
Create alternative metabolic routes to bypass the need for sucC's canonical function
Assess whether non-canonical functions persist when the canonical role is circumvented
Measure metabolic flux using isotope labeling to confirm effective bypass
Targeted subcellular expression:
Engineer sucC variants with compartment-specific targeting sequences
Restrict expression to specific cellular locations using orthogonal expression systems
Measure compartment-specific effects on both metabolic and non-metabolic processes
This methodological approach can help resolve the type of functional dichotomy observed with SUCLA2, which demonstrated redox-regulating functions independent of its role in the TCA cycle through stress granule interactions in the cytosol .
Bacillus cereus is increasingly recognized as a serious human pathogen capable of causing severe infections beyond food poisoning, including neuroinvasive disease in immunocompromised patients . Studying sucC provides these potential therapeutic insights:
Pathogenesis mechanism elucidation:
Investigate whether sucC contributes to virulence or stress resistance during infection
Determine if sucC is differentially expressed during host infection
Compare expression patterns between clinical and environmental isolates
Drug target assessment:
Evaluate sucC as a potential antimicrobial target using in silico docking studies
Develop high-throughput screening assays for sucC inhibitors
Test species-specific inhibition to target bacterial sucC without affecting human homologs
Biomarker development:
Assess whether anti-sucC antibodies are generated during Bacillus cereus infections
Explore serological detection methods based on sucC epitopes
Develop diagnostic tools for rapid detection of virulent strains based on sucC variants
Recent clinical research has identified Bacillus cereus as an emerging pathogen in neuroinvasive disease, particularly in immunocompromised patients with acute myeloid leukemia. Understanding the metabolic adaptations mediated by enzymes like sucC could provide insights into bacterial survival during infection .
Based on discoveries about the human homolog SUCLA2's role in stress granule formation and redox homeostasis , these emerging research directions warrant investigation:
Stress granule interaction studies:
Determine whether bacterial sucC interacts with RNA or RNA-binding proteins under stress
Identify potential bacterial analogs to eukaryotic stress granules
Investigate how sucC might influence protein synthesis during stress conditions
Metabolic adaptation mapping:
Profile metabolic shifts in wild-type versus sucC-modified strains under various stressors
Measure energy charge (ATP/ADP/AMP ratios) correlation with sucC activity
Develop metabolic flux models integrating both canonical and stress-response functions
Evolutionary conservation analysis:
Compare sucC functions across diverse bacterial species and in archaeal homologs
Identify conserved domains potentially responsible for non-canonical functions
Trace the evolutionary history of dual functionality in the sucC protein family
This emerging field connects metabolism with stress response mechanisms and may reveal new paradigms in bacterial adaptation to environmental challenges, potentially informing both basic science and applied research into bacterial survival strategies .