The succinyl-CoA ligase [ADP-forming] subunit beta (sucC) in Escherichia coli is a critical enzyme in the tricarboxylic acid (TCA) cycle, catalyzing the conversion of succinyl-CoA to succinate while synthesizing ATP. Its recombinant production in specific E. coli serotypes, such as O17:K52:H18, has garnered interest for biotechnological and biochemical studies. This article synthesizes available data on suC, its biochemical role, and its recombinant expression, with a focus on the O17:K52:H18 serotype context.
Function in TCA Cycle:
sucC forms part of the succinyl-CoA synthetase complex (EC 6.2.1.5), which couples the hydrolysis of succinyl-CoA to ATP synthesis. The enzyme operates in the mitochondrial matrix of eukaryotes or the cytoplasm of bacteria, enabling oxidative phosphorylation and energy production .
Structure and Subunit Composition:
The suC subunit (β) interacts with the α subunit (sucD) to form a heterodimer. This complex binds succinyl-CoA and facilitates substrate recognition and catalysis .
General Recombinant Production:
E. coli is a preferred host for recombinant protein production due to its rapid growth and scalable expression systems. For suC, methods such as T7 promoter-driven expression (e.g., BL21(DE3) strains) or periplasmic secretion (via leader peptides like PelB) are commonly employed .
Serotype-Specific Considerations:
The O17:K52:H18 serotype is defined by its O antigen (lipopolysaccharide), K capsule (polyosaccharide), and H flagellar antigen. While this serotype is associated with specific pathogenic traits , suC is a conserved metabolic enzyme not directly linked to serotype-specific virulence factors. Current data do not indicate serotype-dependent variations in suC structure or function .
Expression Systems:
Recombinant suC is typically expressed in cytoplasmic or periplasmic compartments. Strains like SHuffle® T7 Express (NEB) optimize disulfide bond formation, critical for suC’s structural integrity .
Purification and Yield:
Standard methods include Ni-NTA affinity chromatography for His-tagged suC, followed by size-exclusion chromatography (SEC) to ensure monodispersity. Typical yields range from 5–10 mg/L culture .
Serotype-Specific Studies:
No studies explicitly investigate suC in E. coli O17:K52:H18. Its role in this serotype remains inferred from general suC biology .
KEGG: eum:ECUMN_0805
The sucC gene encodes the beta subunit of Succinyl-CoA ligase [ADP-forming] (EC 6.2.1.5), a critical enzyme in the tricarboxylic acid (TCA) cycle. This enzyme catalyzes the reversible conversion of succinyl-CoA to succinate coupled with the synthesis of ATP from ADP and inorganic phosphate . The reaction is represented as:
ATP + succinate + CoA ⟷ ADP + phosphate + succinyl-CoA
This enzyme participates in multiple metabolic pathways beyond the TCA cycle, including propanoate metabolism, C5-branched dibasic acid metabolism, and the reductive carboxylate cycle . The sucC gene product forms part of a heterodimeric complex with the alpha subunit (encoded by sucD), creating the functional enzyme that plays a central role in cellular energy production.
E. coli offers numerous advantages as an expression system for Succinyl-CoA ligase:
Simpler and more cost-effective than alternative systems like mammalian cell culture
Rapid growth rate and high cell density in simple growth media
Extensive toolkit of expression vectors with various promoters and fusion tags
Availability of specialized host strains optimized for protein expression
These advantages make E. coli particularly suitable for recombinant protein production in both academic and industrial settings, despite some limitations that can often be addressed through optimization strategies .
Several E. coli strains have been used successfully for recombinant protein expression, each with specific advantages:
E. coli MG1655: A well-characterized K-12 strain used as a base for constructing succinate-producing strains
E. coli DH5α: Commonly used for plasmid construction and maintenance
BL21(DE3) and derivatives: Preferred for high-level expression due to T7 RNA polymerase system and reduced protease activity
Rosetta or CodonPlus strains: Useful if the sucC sequence contains rare codons
C41/C43 strains: Derived from BL21, better suited for expressing potentially toxic proteins
Arctic Express: Engineered to co-express cold-adapted chaperones for improved protein folding at lower temperatures
For metabolic engineering applications focusing on succinate production, specialized strains have been developed through genetic modifications. For example, strain WCY-7 was created by deleting sdhAB (encoding succinate dehydrogenase), iclR (encoding the isocitrate lyase regulator), and maeB (encoding malic enzyme) in E. coli MG1655 .
The choice of expression vector significantly impacts recombinant protein yield and quality. Recommended vectors include:
pTrc99a: Used successfully for expressing TCA cycle enzymes including acetyl-CoA synthetase (acs)
pCL1920: A low-copy number plasmid suitable for moderate expression levels
pET series vectors: Offer strong T7 promoter-driven expression
pBAD vectors: Provide arabinose-inducible expression with fine-tuned control
Fusion tag vectors: Such as pGEX (GST tag) and pMAL (MBP tag) that can enhance solubility
When selecting a vector, consider the promoter strength, copy number, selection markers, and fusion tags based on your specific experimental requirements. For metabolic engineering applications like succinate production, combinations of genes (acs, gltA, acnB) have been successfully expressed from plasmids like pW-4, constructed from pTrc99a .
Verification of recombinant Succinyl-CoA ligase expression can be accomplished through multiple complementary approaches:
SDS-PAGE analysis to visualize protein bands at the expected molecular weight
Western blotting using antibodies against Succinyl-CoA ligase or fusion tags
Enzymatic activity assays measuring:
ADP formation using coupled enzyme systems
Consumption of substrates (succinate, ATP, CoA)
Production of products (succinyl-CoA, ADP, phosphate)
Mass spectrometry to confirm protein identity and integrity
N-terminal sequencing to verify correct processing
FACS analysis if using GFP or other fluorescent fusion proteins
For quantitative assessment of expression levels, include appropriate controls and standards. Novel approaches like the FACS-based selection method described by researchers can help identify high-expressing constructs, where GFP is fused to the C-terminus of the protein of interest to enable fluorescence-based screening .
Codon optimization is crucial for maximizing expression of recombinant proteins. For sucC in E. coli O17:K52:H18, consider the following strategies:
Analyze the codon usage bias of the host strain and adapt the sucC sequence accordingly
Pay special attention to the nucleotides immediately following the start codon, as they significantly impact translation efficiency
Implement the directed evolution-based approach using FACS to screen N-terminal coding sequences
Avoid rare codons (especially in clusters) that might cause ribosomal stalling
Optimize the 5' mRNA region to minimize secondary structures that could impede translation initiation
Consider both natural codons (CN) and optimized codons (CO) approaches
Design libraries of N-terminal variants for screening if maximum expression is critical
Research has demonstrated that modifying the N-terminal sequences through directed evolution and FACS-based selection can increase protein production yields by over 30-fold . This approach is particularly valuable when rational design methods fail to provide satisfactory expression levels.
Modified expression of sucC offers several applications in metabolic engineering:
Enhanced production of TCA cycle intermediates:
Design of synthetic metabolic pathways:
Integration with existing pathways for novel compound production
Creation of alternative carbon utilization routes
Optimization of cellular energetics:
Improved ATP generation efficiency
Enhanced biomass production
Development of strains for bioconversion:
Utilization of alternative carbon sources
Valorization of waste streams
The engineering approach often requires complementary modifications. For example, the succinate-producing strain WCY-7 combined deletion of sdhAB, iclR, and maeB with overexpression of acs, gltA, and acnB to redirect carbon flux toward succinate production .
| Strain | Genotype | Succinate Production |
|---|---|---|
| WCY-3 | MG1655 (ΔiclRΔsdhABΔmaeB) | Baseline |
| WCY-7 | WCY-3/pW-4 (overexpressing acs, gltA, acnB) | 11.23 mM |
Deleting or modifying sucC creates significant metabolic effects throughout central carbon metabolism:
Disruption of the TCA cycle at the succinyl-CoA to succinate conversion step
Potential accumulation of succinyl-CoA and upstream metabolites
Activation of alternative pathways to compensate for the metabolic block:
Increased flux through the glyoxylate bypass
Altered anaplerotic reactions
Changes in redox balance (NADH/NAD+ ratio)
Impacts on related pathways:
Amino acid biosynthesis (particularly those derived from TCA intermediates)
Porphyrin biosynthesis (uses succinyl-CoA)
Membrane lipid composition
These effects are similar to those seen with sdhAB deletion, which blocks the succinate to fumarate conversion step. In metabolic engineering applications, deletion of sdhAB in combination with other modifications has been used to accumulate succinate by preventing its further oxidation in the TCA cycle . Similar principles could apply to sucC modification, potentially creating novel metabolic states useful for biotechnological applications.
Several complementary approaches can elucidate protein-protein interactions involving Succinyl-CoA ligase:
Co-immunoprecipitation (Co-IP):
Use antibodies against sucC or fusion tags to pull down protein complexes
Identify interacting partners via mass spectrometry
Affinity purification coupled with mass spectrometry:
Express tagged sucC in E. coli
Purify under native conditions to maintain interactions
Identify co-purifying proteins
Bacterial two-hybrid systems:
Specifically designed for bacterial proteins
Can detect direct binary interactions
Crosslinking studies:
Chemical or photo-crosslinking to capture transient interactions
MS/MS analysis to identify crosslinked peptides
Surface plasmon resonance (SPR):
Quantitative measurement of binding kinetics
Determination of affinity constants
Structural studies:
X-ray crystallography of protein complexes
Cryo-EM for larger assemblies
These methods can reveal interactions with other TCA cycle enzymes, regulatory proteins, or previously unidentified protein partners, providing insights into the functional organization of metabolic pathways in E. coli.
The E. coli O17:K52:H18 strain belongs to clonal group A, which has been identified in various extraintestinal infections . Some key differences relevant to recombinant protein expression include:
Genomic profile:
Metabolic characteristics:
Potentially different central carbon metabolism regulation
May exhibit altered growth characteristics under laboratory conditions
Expression considerations:
May require different antibiotic selection markers due to intrinsic resistance profiles
Could display different stress responses affecting recombinant protein yield
May have unique codon usage preferences
Safety considerations:
Biosafety level requirements may differ from standard laboratory strains
Additional containment measures might be necessary
Recombinant protein production:
May offer advantages for specific proteins due to unique cellular environment
Could provide different post-translational modifications
When working with this strain, researchers should consider its pathogenic potential and implement appropriate safety measures while adapting standard protocols to accommodate its unique characteristics.
An optimized purification protocol for maintaining high enzymatic activity includes:
Cell lysis:
Buffer: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT, protease inhibitors
Gentle lysis methods (sonication with cooling or French press) to preserve activity
Addition of low concentrations of substrate components (0.1 mM ATP, 0.5 mM succinate) to stabilize the enzyme
Initial purification:
Affinity chromatography (if tagged) using optimized binding and elution conditions
For His-tagged constructs: Ni-NTA with imidazole gradient elution (20-250 mM)
For GST-tagged constructs: Glutathione-Sepharose with reduced glutathione elution
Intermediate steps:
Ion exchange chromatography (Q-Sepharose) with salt gradient elution
Optional tag removal using specific proteases (if tag affects activity)
Buffer exchange to remove components that might interfere with activity
Final purification:
Size exclusion chromatography to separate oligomeric states and remove aggregates
Activity testing of different fractions to identify the most active form
Storage:
Addition of glycerol (20-25%) to prevent freezing damage
Flash freezing in small aliquots to avoid freeze-thaw cycles
Storage at -80°C for long-term preservation of activity
Throughout the purification process, maintain enzyme stability by including reducing agents, glycerol, and potentially key metal ions (Mg²⁺) in all buffers. Purify both alpha and beta subunits together or reconstitute the complex after purification to ensure maximal activity.
Several methods can accurately measure Succinyl-CoA ligase activity:
Forward reaction (succinyl-CoA → succinate):
Coupled enzyme assay linking ADP formation to NADH oxidation
Components: succinyl-CoA, ADP, Pi, MgCl₂, pyruvate kinase, lactate dehydrogenase, PEP, NADH
Monitor absorbance decrease at 340 nm as NADH is oxidized
Calculate activity using NADH extinction coefficient (6,220 M⁻¹cm⁻¹)
Reverse reaction (succinate → succinyl-CoA):
Direct measurement of CoA consumption using DTNB (Ellman's reagent)
Components: succinate, ATP, CoA, MgCl₂, DTNB
Monitor absorbance increase at 412 nm as thiols react with DTNB
Calculate activity using TNB extinction coefficient (14,150 M⁻¹cm⁻¹)
Direct product analysis:
HPLC separation and quantification of reaction components
LC-MS for more sensitive detection of intermediates and products
Allows observation of side reactions and partial activities
| Assay Type | Advantages | Limitations |
|---|---|---|
| Coupled enzyme | Real-time monitoring, sensitive | Potential interference from coupling enzymes |
| DTNB-based | Simple setup, direct measurement | Less sensitive than coupled assays |
| HPLC/LC-MS | Direct quantification of all components | End-point assay, requires specialized equipment |
When performing kinetic measurements, establish linear reaction rates with respect to time and enzyme concentration, and conduct controls to account for background activity and spontaneous hydrolysis.
Effective site-directed mutagenesis of sucC requires careful planning:
Target selection rationale:
Catalytic residues identified from structural studies or sequence alignments
Substrate binding sites that determine specificity
Interface residues involved in alpha/beta subunit interactions
Regulatory sites that affect enzyme activity or allosteric regulation
Mutation design strategy:
Conservative substitutions to probe specific chemical properties
Alanine scanning to identify essential residues
Introduction of non-natural amino acids for specialized functions
Homology-guided mutations based on related enzymes
Technical considerations:
Primer design with appropriate melting temperatures (58-62°C)
Verification methods including sequencing the entire gene
Controls to distinguish mutation effects from expression artifacts
Expression testing to ensure the mutant protein is produced
Functional analysis plan:
Enzymatic activity measurements for each mutant
Thermal stability assessment
Structural analysis when possible
In vivo complementation tests in sucC-deficient strains
Computational modeling approaches, similar to those used for succinate dehydrogenase , can help predict the effects of mutations and guide experimental design. This is particularly valuable for understanding how mutations might affect redox centers and electron transfer pathways in metabolic enzymes.
When facing low expression levels of recombinant sucC, consider this systematic troubleshooting approach:
Vector and sequence analysis:
Expression conditions optimization:
Test multiple temperatures (37°C, 30°C, 25°C, 18°C)
Vary inducer concentration and induction timing
Try different media formulations (LB, TB, minimal media with supplements)
Adjust aeration and growth phase at induction
Strain selection:
Test multiple E. coli strains (BL21, Rosetta, C41/C43)
Consider strains with additional tRNAs for rare codons
Use strains with reduced protease activity
Protein solubility enhancement:
Co-express with molecular chaperones
Add fusion tags known to enhance solubility (MBP, SUMO, GST)
Express with the partner subunit (sucD) to promote proper folding
Include appropriate cofactors or stabilizing agents in the growth medium
Expression construct redesign:
Create a new construct with optimized N-terminal sequence
Consider expressing the complete sucCD operon to maintain natural stoichiometry
Try dual expression systems for both subunits
Research has shown that modifying the N-terminal sequence alone can increase protein yield by over 30-fold . This directed evolution approach, using GFP as a reporter and FACS for screening, provides a powerful method to overcome expression limitations when rational approaches fail.
Several advanced research methods can provide deeper insights into sucC function:
These advanced methods can be applied similarly to approaches used in studying succinate dehydrogenase , where computational modeling helped elucidate the mechanism of superoxide and hydrogen peroxide production, providing insight into the relationship between metabolic enzymes and cellular redox state.