Recombinant Dictyostelium discoideum Succinyl-CoA ligase [GDP-forming] subunit beta, mitochondrial (scsB), partial, refers to a genetically engineered version of a subunit of the Succinyl-CoA ligase enzyme (SUCL) derived from the organism Dictyostelium discoideum . SUCL, also known as succinyl coenzyme A synthetase or succinate thiokinase, is a heterodimeric enzyme crucial for the citric acid cycle, which occurs in the mitochondrial matrix .
Function: SUCL catalyzes the reversible conversion of succinyl-CoA and ADP (or GDP) to CoASH, succinate, and ATP (or GTP) . This reaction is vital for energy production and metabolic interconversion .
Subunits: SUCL consists of an invariant α-subunit encoded by SUCLG1 and a substrate-specific β-subunit, which can be either SUCLA2 (ATP-forming) or SUCLG2 (GTP-forming) . The "scsB" refers to the beta subunit of this enzyme .
Recombinant Form: The "recombinant" designation indicates that the scsB subunit has been produced using genetic engineering techniques, where the gene encoding the subunit is inserted into a host organism (e.g., E. coli) to produce the protein in large quantities .
Partial: The term "partial" suggests that the recombinant protein may only represent a fragment or domain of the full-length scsB subunit .
Dictyostelium discoideum is a widely used model organism for studying various biological processes, including cellular adhesion, migration, and phagocytosis . Dictyostelium exhibits several characteristics that make it valuable in research :
Cellular Adhesion Studies: Dictyostelium amoebae adhere to a wide range of substrates and facilitate rapid cellular migration and efficient phagocytosis .
Genetic Analysis: Dictyostelium is amenable to genetic analysis, making it suitable for studying gene functions related to cellular processes .
Homology to Mammalian Systems: Some gene products in Dictyostelium share homology with genes involved in integrin-dependent adhesion in mammalian cells . For example, SibA, a transmembrane protein in Dictyostelium, shares features with integrin β chains found in mammalian cells .
SUCL plays a pivotal role at the intersection of multiple metabolic pathways :
Citric Acid Cycle: As part of the citric acid cycle, SUCL is essential for the interconversion of various metabolites .
Heme Metabolism: SUCL contributes to heme metabolism when it proceeds in the direction of succinyl-CoA .
Ketone Body Metabolism: In extrahepatic tissues, succinyl-CoA participates in the metabolism of ketone bodies .
Substrate-Level Phosphorylation (SLP): SUCL facilitates ATP formation through SLP, which can yield high-energy phosphates even in the absence of oxygen .
Mitochondrial DNA (mtDNA) Content: SUCL is important in maintaining mtDNA content by providing phosphorylated deoxyribonucleotides .
Cellular adhesion in Dictyostelium is regulated by various factors, including secreted factors and adhesion molecules like Sib proteins .
Sib Proteins: SibA and SibC are expressed in vegetative Dictyostelium cells, with SibC expression being repressed under conditions where cellular adhesion decreases . Variations in SibC expression levels largely account for changes in cellular adhesion in response to environmental cues .
Quorum-Sensing Mechanism: Cellular adhesion is regulated by the concentration of a secreted factor accumulating in the medium, indicating a quorum-sensing mechanism that allows coordinated regulation of cellular adhesion in a Dictyostelium population .
The study of recombinant Dictyostelium discoideum scsB has potential applications in understanding metabolic processes and cellular functions . Some potential research areas include:
Enzyme Function and Regulation: Investigating the specific role of the scsB subunit in the SUCL enzyme complex and its regulation in response to different metabolic conditions .
Structural Studies: Determining the three-dimensional structure of the recombinant scsB subunit to understand its interaction with other proteins and substrates .
Drug Development: Identifying potential drug targets by studying the role of scsB in metabolic pathways, which could be relevant in diseases involving metabolic dysfunction .
Cellular Adhesion Mechanisms: Elucidating the mechanisms by which Dictyostelium regulates cellular adhesion via proteins like SibA and SibC, which could provide insights into similar processes in mammalian cells .
Comparative Genomics: Comparing the scsB sequence across different Dictyostelium strains to identify variations that may affect enzyme activity or function .
Function: Recombinant Dictyostelium discoideum Succinyl-CoA ligase [GDP-forming] subunit beta, mitochondrial (scsB), functions within the tricarboxylic acid (TCA) cycle. It couples the hydrolysis of succinyl-CoA to GTP synthesis, representing the sole substrate-level phosphorylation step in the TCA cycle. The beta subunit confers nucleotide specificity and binds succinate, while the alpha subunit contains the binding sites for coenzyme A and phosphate.
KEGG: ddi:DDB_G0274449
STRING: 44689.DDB0231358
D. discoideum has emerged as a promising eukaryotic host for heterologous recombinant protein expression with several advantages over traditional systems:
| Expression System | Advantages | Limitations |
|---|---|---|
| D. discoideum | - Post-translational modifications similar to higher eukaryotes - Complex cellular machinery - Can be grown in simple media - Capable of correct protein folding - Genetic manipulation tools available | - Lower yields than bacterial systems - Growth rate slower than bacteria - Less established than mammalian systems |
| Bacterial (E. coli) | - High yields - Simple cultivation - Lower cost | - Limited post-translational modifications - Protein folding issues |
| Mammalian | - Authentic modifications - Natural protein folding | - Expensive - Complex media requirements - Slower growth |
D. discoideum possesses the machinery required for orchestrating post-translational modifications similar to higher eukaryotes while being more economical and easier to maintain than mammalian cells .
The expression of recombinant scsB in D. discoideum requires:
Vector Selection: Extrachromosomal vectors containing a strong promoter (actin15 or discoidin) and appropriate selection markers (G418 or Blasticidin resistance)
Transformation Protocol:
Electroporation method (optimal parameters: 0.85 kV/cm, 25 μF, 200 Ω)
Cell density: 1 × 10^7 cells/mL in electroporation buffer
Recovery: Immediate transfer to growth medium after pulse
Selection: Begin selection with appropriate antibiotic 24 hours post-transformation
Culture Conditions:
Growth medium: HL5 medium with glucose (15.4 g/L)
Temperature: 22°C with shaking at 150 rpm
Growth phase: Maintain cells in exponential phase (1-8 × 10^6 cells/mL)
Induction: Some promoters may require induction with specific compounds
Optimization Steps:
Codon optimization for D. discoideum (high A+T content in non-coding regions)
Addition of appropriate targeting sequences for mitochondrial localization
Fusion with secretory signals if secretion is desired
Research has shown that the G+C content of the scsB coding sequence (43.8%) is considerably higher than that of the 5' (14.8%) and 3' (13.3%) non-translated flanking sequences in related organisms, which should be considered when designing expression constructs .
Purification of recombinant SCS from D. discoideum requires a multi-step approach:
Cell Lysis Options:
Mechanical disruption (sonication, French press)
Gentle lysis using detergents for maintaining enzyme activity (1% Triton X-100)
Osmotic shock methods for mitochondrial fraction isolation
Subcellular Fractionation:
Differential centrifugation to isolate mitochondria (10,000 × g for 15 min)
Further purification of mitochondrial fraction (Percoll gradient centrifugation)
Affinity Purification:
His-tag purification using immobilized metal affinity chromatography
Nucleotide affinity columns (GDP/GTP-agarose)
Additional Purification Steps:
Ion exchange chromatography (DEAE or Q-Sepharose)
Size exclusion chromatography to obtain pure heterodimeric complex
Activity Preservation:
Include 10% glycerol and 2 mM DTT in all buffers
Maintain pH between 7.2-8.4 (optimal: pH 8.4)
Add protease inhibitors (PMSF, leupeptin, pepstatin)
Purified recombinant SCS can be stored in 3.2 M ammonium sulfate suspension for long-term stability .
Several methodologies exist for measuring SCS activity, each with specific advantages for different research questions:
Forward Reaction (Succinyl-CoA → Succinate):
Coupled Assay with Pyruvate Kinase/Lactate Dehydrogenase:
Principle: GTP produced by SCS is used by pyruvate kinase to convert phosphoenolpyruvate to pyruvate, which is then reduced to lactate by lactate dehydrogenase with concomitant oxidation of NADH
Monitoring: Decrease in absorbance at 340 nm as NADH is oxidized
Buffer composition: 50 mM HEPES (pH 7.4), 10 mM MgCl₂, 0.2 mM succinyl-CoA, 1 mM GDP
Reverse Reaction (Succinate → Succinyl-CoA):
DTNB (5,5'-dithiobis-2-nitrobenzoic acid) Assay:
Principle: Formation of thionitrobenzoate when CoA reacts with DTNB
Monitoring: Increase in absorbance at 412 nm
Buffer composition: 50 mM potassium phosphate (pH 8.4), 10 mM MgCl₂, 0.2 mM DTNB, 0.2 mM succinyl-CoA, 2 mM ATP or 1 mM GTP
Standard Activity Definition:
One unit of Succinyl-CoA synthetase activity is defined as the amount of enzyme required to release one μmole of succinyl-CoA from succinic acid (5.8 mM) per minute in the presence of NADH and Coenzyme A in Glycylglycine buffer (34 mM), pH 8.4 at 25°C .
Optimal Assay Conditions:
Temperature: 25°C
pH: 8.4
Mg²⁺ concentration: 10 mM (essential cofactor)
The specific activity of purified recombinant prokaryotic SCS is approximately 9 U/mg at 25°C and pH 8.4 , which can serve as a reference for comparing D. discoideum-expressed recombinant enzyme activity.
The study of allosteric regulation of SCS requires specialized techniques:
Nucleotide-Binding Studies:
Equilibrium Dialysis:
Measures binding constants of GDP to the catalytic and allosteric sites
Can distinguish between high-affinity (catalytic) and low-affinity (allosteric) binding
Isothermal Titration Calorimetry (ITC):
Provides thermodynamic parameters of binding
Can detect multiple binding sites with different affinities
Distinguishing Allosteric from Catalytic Effects:
Use of GDP[S] (guanosine 5'-[β-thio]diphosphate) as non-hydrolyzable analog
Comparison of phosphorylation patterns at different GDP concentrations:
Low concentrations (0.1-1 μM): Allosteric stimulation of α-subunit phosphorylation
High concentrations (100-1000 μM): Substrate-level dephosphorylation with GTP formation
Dilution Experiments:
Non-covalent allosteric regulation is retained during purification
Stimulation of phosphorylation by low GDP concentrations is not diminished by dilution
Gel-Filtration Analysis:
Phosphate Effect Quantification:
| Pi Concentration (mM) | Relative SCS Activity (%) |
|---|---|
| 0 | 100 |
| 1 | ~150 |
| 5 | ~210 |
| 10 | ~205 |
This table represents typical results showing Pi-induced activation of SCS activity in mitochondrial extracts .
Several approaches can be used for mutagenesis of scsB:
Site-Directed Mutagenesis:
QuikChange Method:
Design complementary primers containing desired mutation
PCR amplification generates mutated plasmid
DpnI digestion eliminates parental template
Key residues to target: catalytic histidine residue in α-subunit, nucleotide-binding site in β-subunit
Gibson Assembly:
Allows for multiple mutations simultaneously
Requires overlapping primers with mutations
Domain Swapping:
Exchange domains between ADP-specific and GDP-specific β-subunits
Create chimeric proteins to identify determinants of nucleotide specificity
Example approach: Replace region 193-339 in scsB with corresponding region from SUCLA2
Truncation Analysis:
Generate systematic deletions to identify minimal functional domains
C-terminal and N-terminal truncations to map functional regions
Alanine Scanning:
Systematically replace conserved residues with alanine
Identify residues essential for catalysis, allosteric regulation, or subunit interaction
Expression and Functional Testing:
Express mutated constructs in D. discoideum
Assess enzyme activity using standardized assays
Evaluate protein stability and complex formation
When designing mutations, consider that sequence comparisons show high conservation of the SCS β-subunit across species, with ~46-49% sequence identity between prokaryotic and eukaryotic forms .
Several genetic manipulation approaches are available:
Homologous Recombination Knockout:
Design targeting vector containing selection marker (Blasticidin resistance)
Include 5' and 3' homology arms (1-2 kb each) flanking the selection marker
Transform D. discoideum by electroporation
Select transformants with appropriate antibiotic
Verify knockout by PCR, Southern blotting, and Western blotting
REMI (Restriction Enzyme-Mediated Integration):
RNA Interference:
Design hairpin RNAi constructs targeting scsB
Express under inducible promoters (e.g., discoidin)
Monitor knockdown efficiency by RT-qPCR and Western blotting
CRISPR-Cas9 System:
Design sgRNAs targeting scsB exons
Express Cas9 and sgRNA from appropriate D. discoideum vectors
Screen for mutations by sequencing
Validate protein loss by Western blotting
Phenotypic Characterization:
Growth rates in different carbon sources
Mitochondrial DNA content measurement
Cellular respiration analysis
Development progression analysis
Complete knockout of SCS genes often results in mitochondrial dysfunction and mtDNA depletion in mammalian models , which may affect D. discoideum development and multicellular stages.
Recombinant scsB can serve as a valuable tool for mitochondrial disease research:
Complementation Studies:
Express wild-type or mutant scsB in patient fibroblasts
Assess rescue of enzyme activity and cellular phenotypes
Example methodology:
Transduce patient fibroblasts with scsB-lentivirus
Select stable expressors using Blasticidin (5 μg/mL) for 10 days
Assess protein expression by Western blot
Measure SCS enzyme activity
Evaluate mtDNA content and cellular respiration
Structure-Function Analysis of Disease Mutations:
Introduce equivalent disease-causing mutations into scsB
Analyze effects on:
Protein stability and complex formation
Catalytic activity
Allosteric regulation
mtDNA maintenance
Mitochondrial DNA Depletion Models:
SCS deficiency causes mtDNA depletion in humans
Study relationship between SCS activity and mtDNA levels
Quantify mtDNA by qPCR relative to nuclear DNA
Cellular Respiration Analysis:
Measure oxygen consumption rate (OCR)
Assess specific complex activities in SCS-deficient cells
Compare respiratory parameters with and without SCS restoration
Data from complementation studies in human cells show that:
| Parameter | Control | SCS-Deficient | SCS-Restored |
|---|---|---|---|
| SCS Activity | 100% | <5% | 90-135% |
| mtDNA Content | 100% | 30-70% | 90-110% |
| OCR | 100% | 40-60% | 85-95% |
These values represent typical results observed in SUCLG1-deficient human fibroblasts before and after complementation with wild-type SUCLG1 .
Recent research has revealed that SCS may have functions beyond its classical role in the TCA cycle:
Experimental Design Considerations:
Subcellular Fractionation:
Carefully separate mitochondrial and cytosolic fractions
Use appropriate markers to confirm fraction purity (e.g., citrate synthase for mitochondria)
Assess distribution of SCS between compartments
Metabolic Flux Analysis:
Use 13C-labeled substrates to trace metabolic pathways
Compare flux through TCA cycle versus alternative pathways
Measure incorporation into succinate, succinyl-CoA, and related metabolites
Protein Interaction Studies:
Immunoprecipitation to identify interaction partners
Proximity labeling techniques (BioID, APEX)
Yeast two-hybrid screening
Non-TCA Cycle Functions to Investigate:
Redox Balance Regulation:
Regulation of Protein Succinylation:
Global protein succinylation analysis by mass spectrometry
Correlation between SCS activity and protein succinylation patterns
Functional consequences of altered succinylation
mtDNA Maintenance:
Mechanism connecting SCS to mtDNA levels
Role in nucleotide metabolism
Potential physical interactions with mtDNA maintenance proteins
Technical Approaches:
Multiomics Integration:
Combine proteomics, metabolomics, and transcriptomics data
Network analysis to identify affected pathways
Validation of key nodes using genetic manipulation
Advanced Microscopy:
Super-resolution imaging to localize SCS within mitochondria
Live-cell imaging to track dynamics during stress responses
FRET/FLIM to detect protein-protein interactions
Recent findings in cancer cells indicate that SUCLA2 (the ADP-forming β-subunit) promotes stress granule formation and redox balance independently of its role in the TCA cycle . Similar non-canonical functions may exist for the GDP-forming β-subunit (scsB) in D. discoideum.
Studying scsB during Dictyostelium development requires specialized approaches:
Expression Profile Analysis:
Temporal Expression Patterns:
Collect cells at different developmental stages (0, 4, 8, 12, 16, 20, 24 hours)
Extract RNA for RT-qPCR or RNA-seq analysis
Quantify protein levels by Western blotting
Compare with other metabolic enzymes as references
Spatial Expression:
In situ hybridization to localize scsB mRNA in multicellular structures
Immunohistochemistry using anti-SCS antibodies
Reporter constructs (scsB promoter driving GFP expression)
Cell-Type Specific Analysis:
Separate prestalk and prespore cells by density gradient centrifugation
Isolate specific cell populations using cell-type specific markers
Compare enzyme activity and expression levels between cell types
Metabolic Remodeling:
Monitor changes in TCA cycle flux during development
Assess alternations in GDP/GTP versus ADP/ATP utilization
Measure activities of both GDP-forming and ADP-forming SCS isoforms
Functional Analysis:
Create developmental stage-specific knockdowns using inducible systems
Assess impact on multicellular morphogenesis
Evaluate energy metabolism during development
The developmental cycle of D. discoideum involves significant metabolic remodeling, including changes in cAMP signaling . These signaling pathways may influence SCS activity through allosteric regulation, similar to what has been observed in other organisms .
Several approaches can investigate connections between scsB and cAMP signaling:
Biochemical Interaction Studies:
cAMP Binding Assays:
Test direct binding of cAMP to purified SCS
Measure changes in enzyme activity with varying cAMP concentrations
Compare effects of cAMP and cGMP on SCS activity
Phosphorylation Studies:
Assess if PKA (cAMP-dependent protein kinase) phosphorylates SCS
Determine phosphorylation sites by mass spectrometry
Create phosphomimetic and phosphodeficient mutants
Genetic Interaction Analysis:
Generate double mutants with cAMP signaling components
Test epistatic relationships between scsB and:
Adenylyl cyclases (ACA, ACB, ACG)
cAMP phosphodiesterases (PdsA, RegA)
PKA catalytic and regulatory subunits
Developmental Phenotype Analysis:
Monitor development under various conditions:
Normal development on non-nutrient agar
Development with exogenous cAMP pulses
Development under various stresses (osmotic, oxidative)
Compare wild-type, scsB mutants, and complemented strains
cAMP-Related Signal Transduction:
Measure changes in intracellular cAMP levels
Monitor PKA activity using phospho-specific antibodies
Assess expression of cAMP-regulated genes by RT-qPCR
Evidence from D. discoideum research shows that cAMP and cGMP signaling are crucial during development, with cGMP being a more potent activator of certain pathways . It would be valuable to investigate whether GDP-forming SCS (encoded by scsB) responds differently to these cyclic nucleotides compared to ADP-forming SCS.
Advanced technologies offer new opportunities for scsB research:
Structural Biology Approaches:
Cryo-Electron Microscopy:
Near-atomic resolution structures of SCS complexes
Visualization of conformational changes upon substrate binding
Complex formation with interaction partners
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Map dynamic regions and conformational changes
Identify allosteric communication networks
Characterize effects of mutations on protein dynamics
AlphaFold2 and Molecular Dynamics Simulations:
Predict structures of D. discoideum-specific variants
Simulate substrate binding and catalytic events
Model effects of disease-related mutations
Single-Molecule Techniques:
FRET (Förster Resonance Energy Transfer):
Monitor real-time conformational changes
Detect transient interactions with other proteins
Observe catalytic cycle at single-molecule level
Optical Tweezers and AFM:
Measure mechanical properties and stability
Force-dependent unfolding and refolding
Advanced Imaging:
Super-Resolution Microscopy:
Nanoscale localization within mitochondria
Co-localization with mtDNA nucleoids
Redistribution during cellular stress
FIB-SEM and Cryo-Electron Tomography:
3D visualization in cellular context
Integration with mitochondrial ultrastructure
Spatial organization in relation to other TCA cycle enzymes
High-Throughput Approaches:
Deep Mutational Scanning:
Comprehensive mutation libraries
Functional impact of thousands of variants
Identification of regulatory hotspots
Chemogenomics and Chemical Biology:
Specific inhibitors or activators of GDP-form
Activity-based protein profiling
Covalent ligands for mechanistic studies
System-level approaches offer comprehensive insights:
Transcriptomic Analysis:
RNA-Seq Comparison:
Wild-type vs. scsB mutants at different developmental stages
Identify differentially expressed genes
Pathway enrichment analysis
Co-expression network construction
Time-Course Analysis:
Capture dynamic changes during development
Identify early vs. late-responding genes
Temporal clustering to find functionally related genes
Proteomic Approaches:
Quantitative Proteomics:
SILAC or TMT labeling for comparative analysis
Post-translational modification profiling (phosphorylation, succinylation)
Protein complex analysis by BN-PAGE followed by MS
Spatial Proteomics:
APEX2 or BioID proximity labeling
Subcellular fractionation combined with proteomics
In situ spatial proteomics using laser microdissection
Metabolomic Profiling:
Targeted Metabolomics:
Focus on TCA cycle intermediates
Nucleotide pools (ATP/GTP/GDP/ADP ratios)
Coenzyme A derivatives
Untargeted Approaches:
Global metabolite changes
Stable isotope labeling to track metabolic flux
Integration with transcriptomic and proteomic data
Computational Integration:
Multi-Omics Data Integration:
Correlation networks across data types
Causal inference from time-series data
Machine learning to identify key regulatory nodes
Genome-Scale Metabolic Modeling:
Incorporate scsB activity constraints
Predict metabolic flux distributions
Identify synthetic lethal interactions
Example from published research shows microarray analysis identified genes (gapA and rtoA) induced by hyperosmotic stress in D. discoideum that are dependent on STAT transcription factors . Similar approaches could reveal genes whose expression is linked to scsB activity or mitochondrial energy metabolism.
Comparative analysis provides evolutionary insights:
Sequence and Structure Comparison:
| Organism | SCS Type | Sequence Identity to D. discoideum scsB | Key Features |
|---|---|---|---|
| E. coli | Non-specific | ~46% | Uses both ATP and GTP |
| Pig (mitochondrial) | ATP-specific | ~48% | Tissue-specific expression |
| T. vaginalis | Hydrogenosomal | ~49% | Adapted to anaerobic environment |
| N. frontalis | Hydrogenosomal | High similarity | Functions in hydrogenosomes |
Nucleotide Specificity Determinants:
ATP-specific β-subunits contain distinctive sequence motifs
GDP-specific β-subunits have unique residues in nucleotide-binding domain
Non-specific prokaryotic enzymes show intermediate features
Chimeric constructs can help identify specificity-determining regions
Regulatory Mechanisms:
Allosteric Regulation:
Low GDP concentrations (0.1-1 μM) stimulate phosphorylation
High GDP concentrations (100-1000 μM) lead to dephosphorylation
Pi binding activates enzyme activity >2-fold
Compare regulation patterns across species
Post-Translational Modifications:
Histidine phosphorylation of α-subunit
Succinylation patterns
Species-specific modifications
Subcellular Localization:
Mitochondrial in eukaryotes
Hydrogenosomal in anaerobic eukaryotes
Cytosolic in some prokaryotes
Targeting signals vary across species
The β-subunit of SCS shows distinct tissue distribution patterns in mammals, with ATP-specific form predominant in tissues with high oxidative capacity (heart, muscle) and GDP-specific form in biosynthetic tissues (liver) .
Accurate cross-system comparisons require careful controls:
Standardization Challenges:
Activity Normalization:
Different specific activities in different expression systems
Various host-specific post-translational modifications
Impact of purification methods on activity retention
Enzyme Stability Differences:
Temperature sensitivity variations
Buffer composition effects
Storage condition optimization
Methodology Harmonization:
Assay Standardization:
Use identical assay conditions across systems
Include internal standards in each assay
Measure activity using multiple complementary methods
Purification Protocol Alignment:
Apply identical purification schemes when possible
Include recovery controls at each step
Consider native versus tagged protein comparisons
Expression System Variables:
Host-Specific Factors:
Chaperone availability and folding environments
Codon usage optimization requirements
Post-translational modification differences
Control Measurements:
Express identical constructs in different hosts
Include well-characterized control enzymes
Measure intrinsic SCS activity in host systems
Advanced Analytical Approaches:
Structural Comparisons:
CD spectroscopy for secondary structure
Thermal shift assays for stability
Limited proteolysis for domain organization
Kinetic Parameter Analysis:
Compare Km, Vmax, and kcat across systems
Determine substrate specificity profiles
Measure allosteric effects quantitatively
When comparing prokaryotic versus D. discoideum-expressed SCS, consider that the optimal conditions for bacterial SCS activity are pH 8.4 at 25°C, which may differ for the eukaryotic enzyme .