Recombinant Rickettsia prowazekii Succinyl-CoA ligase [ADP-forming] subunit beta (sucC)

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Product Specs

Form
Lyophilized powder. We will generally ship the format we have in stock. If you have specific format requirements, please note them when ordering, and we will try to accommodate your request.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for specific delivery information. All proteins are shipped with standard blue ice packs by default. If dry ice shipment is required, please inform us in advance, as additional charges will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect the contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on several factors, including storage conditions, buffer composition, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
Synonyms
sucC; RP433; Succinate--CoA ligase [ADP-forming] subunit beta; EC 6.2.1.5; Succinyl-CoA synthetase subunit beta; SCS-beta
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-386
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Rickettsia prowazekii (strain Madrid E)
Target Names
sucC
Target Protein Sequence
MNIHEYQAKE ILRKYGVPTS TGLVVTKTEK INETIDKLNT KVYVIKAQIH AGGRGKAGGV KVAKSKEEAK KVAHDMFGIN LVTHQTGPQG QKVNRIYIES GCDILKEYYF SIVFDRSASC ITFIASTEGG VDIEAVAEKM PEKIIKFAVD PATGLQDFHM RGIAYELGFK DNQAKQMKEI VKAVYNAFIE TDATQIEINP LIINSYGNLL ALDAKITFDD NGLFKHPNIT AMRDHDEEDP LETRAANAGL SYVKMDGNIG CMVNGAGLAM ATMDIIKLYG ALPANFLDVG GGADRERVKE ALKIILSDKE VKGILVNIFG GIMRCDIIAE GIIAAAKDIG IKVPLVVRLA GTNVEKGKEI LSNSDLKIIP AHDLADAANK IVEAIR
Uniprot No.

Target Background

Function
Succinyl-CoA synthetase participates in the citric acid cycle (TCA), coupling the hydrolysis of succinyl-CoA to the synthesis of ATP or GTP. This represents the only substrate-level phosphorylation step in the TCA cycle. The beta subunit determines the enzyme's nucleotide specificity and binds succinate, while the alpha subunit contains the binding sites for coenzyme A and phosphate.
Database Links

KEGG: rpr:RP433

STRING: 272947.RP433

Protein Families
Succinate/malate CoA ligase beta subunit family

Q&A

What is Rickettsia prowazekii Succinyl-CoA ligase and what is its role in the TCA cycle?

Rickettsia prowazekii Succinyl-CoA ligase [ADP-forming] (also known as succinyl-CoA synthetase) is a key enzyme in the tricarboxylic acid (TCA) cycle, catalyzing the reversible conversion of succinyl-CoA to succinate while generating ATP through substrate-level phosphorylation. The enzyme consists of alpha (encoded by sucD) and beta (encoded by sucC) subunits, with the beta subunit containing the CoA-binding domain and playing a crucial role in the catalytic mechanism.

In Rickettsia prowazekii, an obligate intracellular pathogen with reduced metabolic capabilities, the TCA cycle serves as a central hub for energy generation and biosynthetic precursor production. Succinyl-CoA ligase is particularly important because R. prowazekii lacks glycolysis and must obtain many metabolites from the host cell. The ADP-forming version of this enzyme (as opposed to GDP-forming variants in some organisms) reflects the adaptation of Rickettsia to its intracellular lifestyle, emphasizing the importance of ATP generation in its energy metabolism .

How does the sucC gene contribute to the metabolic pathways of Rickettsia prowazekii?

The sucC gene encodes the beta subunit of Succinyl-CoA ligase, which participates in several interconnected metabolic pathways in R. prowazekii:

  • In the TCA cycle, it catalyzes the conversion of succinyl-CoA to succinate, generating ATP

  • It connects the TCA cycle to porphyrin synthesis, as succinyl-CoA is a precursor for heme biosynthesis

  • It plays a role in diaminopimelate (DAP) synthesis pathway, which is essential for peptidoglycan formation in the cell wall structure

  • It participates in amino acid metabolism, particularly in the catabolism of certain amino acids that enter the TCA cycle through succinyl-CoA

The importance of sucC is magnified in Rickettsia due to its reduced genome and reliance on host metabolites. Succinyl-CoA produced by the TCA cycle is required for DAP synthesis, as well as the synthesis of porphyrins important to electron transport . This multifunctional role makes the sucC gene product essential for Rickettsia survival within host cells.

What are the characteristics of the recombinant expression of R. prowazekii sucC?

Recombinant expression of R. prowazekii sucC presents several challenges that must be addressed for successful production of functional protein:

  • Codon usage: R. prowazekii has different codon preferences than common expression hosts like E. coli, requiring optimization or use of strains with rare codon tRNAs

  • Solubility issues: The protein may form inclusion bodies, necessitating fusion tags (His6, MBP, SUMO) to enhance solubility

  • Heterodimeric nature: Functional enzyme typically requires co-expression with the alpha subunit (sucD) for proper folding and activity

  • Expression conditions: Lower induction temperatures (16-20°C) and reduced inducer concentrations often yield better results

Expression in E. coli can be successful with appropriate optimization, similar to what was observed with the R. prowazekii recA gene, which complemented E. coli recA deletion mutants despite initial difficulties in direct expression . This suggests that with proper expression strategies, functional R. prowazekii sucC can be produced in heterologous systems.

What are the implications of Succinyl-CoA ligase dysfunction on Rickettsia survival in host cells?

Succinyl-CoA ligase dysfunction would have multifaceted consequences for Rickettsia prowazekii's intracellular survival:

Energetic implications:

  • Reduced ATP generation through substrate-level phosphorylation in the TCA cycle

  • Perturbation of electron transport chain function due to altered metabolite flow

  • Potential energy crisis in a pathogen already constrained by limited metabolic capabilities

Biosynthetic consequences:

  • Disruption of peptidoglycan synthesis through impaired diaminopimelate production

  • Compromised heme biosynthesis affecting cytochrome function

  • Altered lipid metabolism affecting membrane integrity

Metabolic imbalances:

  • Accumulation of succinyl-CoA potentially leading to feedback inhibition of α-ketoglutarate dehydrogenase

  • Similar to what is observed in SDH-deficient cells, succinate accumulation could inhibit α-ketoglutarate-dependent enzymes

  • Disruption of amino acid metabolism pathways that intersect with the TCA cycle

These consequences would significantly impact the bacterium's ability to maintain essential cellular functions, likely resulting in growth inhibition or death. The accumulation of TCA cycle intermediates, particularly succinate, could also affect host cell metabolism through inhibition of α-ketoglutarate-dependent enzymes, as demonstrated in other systems with dysfunctional TCA cycle components .

How can site-directed mutagenesis be used to investigate key catalytic residues in R. prowazekii sucC?

Site-directed mutagenesis offers powerful insights into the structure-function relationships of R. prowazekii sucC, particularly through the following approaches:

Identification of catalytic residues:

  • Conservative substitutions (e.g., Asp→Glu, Lys→Arg) can distinguish between essential and non-essential roles of charged residues

  • Alanine scanning mutagenesis of the predicted active site can systematically evaluate each residue's contribution

  • Mutations targeting the nucleotide-binding pocket can reveal specificity determinants for ATP vs. GTP

Investigation of subunit interactions:

  • Mutations at the predicted alpha-beta interface can assess the importance of heterodimer formation

  • Cross-linking studies with engineered cysteine residues can validate structural models

Methodological considerations:

This approach is similar to what was used in characterizing the recA gene from R. prowazekii, where functional complementation assays revealed that "the rickettsial recA gene can complement the recombinational function of RecA in E. coli" . Similarly, mutational analysis of sucC would reveal which residues are essential for function and provide insights into the evolutionary adaptations of this enzyme in Rickettsia.

What enzymatic assays can be used to evaluate the function of recombinant R. prowazekii sucC in vitro?

Designing robust enzymatic assays for R. prowazekii Succinyl-CoA ligase requires careful consideration of reaction conditions and detection methods:

Spectrophotometric coupled assays:

  • Forward reaction: Couple ADP production to pyruvate kinase and lactate dehydrogenase, monitoring NADH oxidation at 340 nm

  • Reverse reaction: Couple ATP consumption to hexokinase and glucose-6-phosphate dehydrogenase, monitoring NADPH formation at 340 nm

Direct product detection methods:

  • Radiometric assays using 14C-labeled substrates with thin-layer chromatography separation

  • HPLC-based detection of reaction products using either UV or fluorescence detection

  • Mass spectrometry to monitor substrate consumption and product formation

Optimization parameters:

ParameterRecommended RangeOptimization Approach
pH7.0-8.0Activity profiling at 0.5 pH unit intervals
Temperature25-37°CBalance between physiological relevance and enzyme stability
Divalent cations1-10 mM Mg2+ or Mn2+Titration to determine optimal concentration
Ionic strength50-200 mMTesting effect on enzyme stability and activity
Substrate concentrations0.1-10× KMMichaelis-Menten kinetics to determine KM and Vmax

These assays can be used to characterize the basic kinetic properties of the enzyme, similar to the approaches used for studying other rickettsial enzymes like RecA, where "the rickettsial recA gene complemented E. coli recA deletion mutants for UV and MMS sensitivities as well as recombinational deficiencies" . Comparable functional assessment can reveal how well the recombinant sucC functions compared to the native enzyme.

What purification strategies optimize yield and activity of recombinant R. prowazekii Succinyl-CoA ligase?

Optimizing purification of recombinant R. prowazekii Succinyl-CoA ligase requires careful consideration of protein stability and activity:

Effective purification strategies:

Purification StepRecommended ApproachRationale
Initial captureImmobilized metal affinity chromatography (IMAC) with His6-tagHigh specificity, mild conditions
Intermediate purificationIon exchange chromatographyRemoves contaminants with different charge properties
PolishingSize exclusion chromatographyEnsures proper oligomeric state, removes aggregates
Alternative approachTandem affinity purificationFor co-purification of alpha and beta subunits

Buffer considerations:

  • Inclusion of 10-15% glycerol to maintain stability

  • Addition of reducing agents (1-5 mM DTT or TCEP) to prevent oxidation

  • Mild ionic strength (150-200 mM NaCl) to maintain proper folding

  • Presence of divalent cations (2-5 mM MgCl2) as cofactors

  • Addition of ATP or ADP (0.1-0.5 mM) to stabilize the nucleotide-binding site

Successful expression and purification strategies should consider the challenges encountered with other rickettsial proteins. For instance, researchers found that for the recA gene, "numerous attempts to isolate the R. prowazekii recA gene by direct complementation of E. coli recA mutants were unsuccessful," requiring a PCR-based approach . Similar challenges may necessitate multiple purification strategies to obtain active recombinant R. prowazekii Succinyl-CoA ligase.

How can isotope labeling be used to track metabolic flux through Succinyl-CoA ligase in Rickettsia?

Isotope labeling provides powerful insights into metabolic flux through Succinyl-CoA ligase in the complex host-pathogen system:

Stable isotope labeling approaches:

IsotopeLabeled SubstrateInformation Obtained
13C[1,2-13C]acetateTCA cycle flux, anaplerotic reactions
13C[U-13C]glutamateEntry of host amino acids into rickettsial TCA cycle
13C[3-13C]pyruvateContribution of host pyruvate to rickettsial metabolism
15N[15N]glutamineAmino acid utilization and nitrogen transfer
18OH218OATP turnover and hydrolysis rates
2H[2H]succinateReverse flux through Succinyl-CoA ligase

Analytical platforms:

  • Gas chromatography-mass spectrometry (GC-MS) for organic acid analysis

  • Liquid chromatography-mass spectrometry (LC-MS) for nucleotides and CoA derivatives

  • Nuclear magnetic resonance (NMR) spectroscopy for positional isotopomer analysis

  • Mass isotopomer distribution analysis for flux quantification

This approach allows researchers to quantify how Rickettsia utilizes host-derived metabolites, similar to how studies have shown that "imported Gln and Glu also regulate the flow of acetyl-CoA into the TCA cycle" . Isotope labeling can reveal the relative contributions of different host metabolites to the rickettsial TCA cycle and the role of Succinyl-CoA ligase in metabolic flux distribution.

How can discrepancies between in vitro and in vivo activity of R. prowazekii Succinyl-CoA ligase be reconciled?

Reconciling differences between in vitro and in vivo activity of R. prowazekii Succinyl-CoA ligase requires systematic investigation of multiple factors:

Common sources of discrepancy:

FactorIn Vitro ConditionIn Vivo RealityReconciliation Approach
Metabolite concentrationsOften non-physiologicalTightly regulatedMeasure intracellular concentrations, adjust assay conditions
Ionic environmentSimplified buffersComplex cytoplasmic milieuMimic intracellular ionic composition in assays
Protein interactionsIsolated enzymeParticipation in complexesCo-immunoprecipitation to identify partners, reconstitute complexes
Post-translational modificationsOften absentDynamically regulatedMS identification of PTMs, enzyme modification in vitro
CompartmentalizationHomogeneous solutionSpatial organizationMembrane reconstitution, microfluidic approaches

Integrated experimental strategies:

  • Enzyme activity measurements in cell lysates under minimal disruption conditions

  • Permeabilized cell assays to maintain cellular architecture

  • In-cell NMR to monitor enzyme behavior in the cellular environment

  • Correlation of recombinant enzyme properties with metabolomic profiles of infected cells

These approaches acknowledge that enzymes may behave differently in their native environment. For example, studies with R. prowazekii recA showed that while it could complement E. coli recA deletion mutants, the "level was lower than that observed for E. coli RR1 and E. coli DK-1 containing the cloned E. coli recA gene" , suggesting context-dependent differences in function that must be considered when interpreting in vitro data.

What statistical approaches are most appropriate for analyzing kinetic data from Succinyl-CoA ligase assays?

Rigorous statistical analysis of kinetic data ensures reliable interpretation of Succinyl-CoA ligase properties:

Experimental design considerations:

  • Sufficient technical and biological replicates (minimum n=3 for each)

  • Randomization of experimental order to avoid systematic bias

  • Inclusion of appropriate controls in each experimental batch

  • Power analysis to determine sample size for desired statistical confidence

Kinetic parameter estimation:

ParameterEstimation MethodStatistical Considerations
KM, VmaxNon-linear regression (Michaelis-Menten)Confidence intervals, residual analysis
kcatDerived from Vmax with enzyme concentrationError propagation
Inhibition constantsGlobal fitting with appropriate modelsModel selection using AIC or BIC
CooperativityHill equation fittingSignificance testing of Hill coefficient

Advanced statistical approaches:

  • Bootstrapping for robust parameter confidence intervals

  • Monte Carlo simulations to assess parameter identifiability

  • Bayesian parameter estimation for complex kinetic models

  • Principal component analysis for multivariate kinetic data

How should researchers interpret changes in Succinyl-CoA ligase activity in the context of broader metabolic adaptations?

Interpreting Succinyl-CoA ligase activity changes requires contextualization within Rickettsia's broader metabolic framework:

Integrative data analysis approaches:

Data TypeAnalytical ApproachIntegration Strategy
Enzyme activityDirect kinetic measurementsBaseline for metabolic capacity
Protein abundanceQuantitative proteomicsCorrelation with activity changes
Transcript levelsRNA-Seq, qRT-PCRRegulation mechanism insights
Metabolite concentrationsTargeted metabolomicsSubstrate/product relationships
Flux distribution13C metabolic flux analysisNetwork-level consequences

Metabolic control analysis framework:

  • Calculation of flux control coefficients to quantify enzyme's influence on pathway flux

  • Determination of elasticity coefficients for substrate and product sensitivity

  • Assessment of response coefficients to external perturbations

  • Network-based interpretation of ripple effects through connected pathways

This systems-level interpretation is essential because changes in TCA cycle enzymes can have far-reaching effects. For example, studies have shown that dysfunction in the TCA cycle can lead to succinate accumulation, which inhibits α-ketoglutarate-dependent enzymes . Similar metabolic perturbations could occur when Succinyl-CoA ligase activity changes, affecting not only energy metabolism but also various biosynthetic pathways dependent on TCA cycle intermediates.

What structural features of R. prowazekii Succinyl-CoA ligase could be exploited for selective inhibitor design?

Designing selective inhibitors for R. prowazekii Succinyl-CoA ligase requires detailed understanding of structural features that distinguish it from host homologs:

Key targetable structural elements:

Structural FeaturePotential for SelectivityRational Design Approach
Nucleotide binding pocketModerate - some differences from host enzymeStructure-based design targeting non-conserved residues
CoA binding siteHigh - significant structural divergenceFragment-based screening with structure-guided optimization
Subunit interfaceVery high - unique to bacterial enzymesProtein-protein interaction disruptors
Allosteric sitesHigh - evolved for bacterial regulationIdentification via molecular dynamics, targeting with allosteric modulators
Active site loopsModerate - different conformational dynamicsTransition state analogs with bacterial-specific interactions

Structure-based design strategies:

  • Virtual screening against binding site models with bacterial-specific features

  • Pharmacophore development based on known ligands and substrate analogs

  • Fragment growing and linking to explore unique pockets

  • Molecular dynamics simulation to identify transient pockets

These approaches align with the principles used in enzyme engineering, where understanding structure-function relationships enables rational modification of enzyme properties . For inhibitor design, the same structural knowledge can be applied to identify distinctive features of the bacterial enzyme that could be selectively targeted while sparing the host homolog.

How can recombinant R. prowazekii Succinyl-CoA ligase be engineered for enhanced stability or altered substrate specificity?

Engineering recombinant R. prowazekii Succinyl-CoA ligase for improved properties can be approached through several complementary strategies:

Stability enhancement approaches:

  • Computational design of stabilizing core mutations using Rosetta or other protein design tools

  • Introduction of disulfide bonds at strategic positions to enhance structural rigidity

  • Surface charge optimization to improve solubility and reduce aggregation

  • Consensus-based mutations derived from sequence alignments with thermostable homologs

Altering substrate specificity:

  • Active site redesign guided by molecular docking of desired substrates

  • Directed evolution using error-prone PCR and activity-based screening

  • Semi-rational approaches combining computational design with experimental validation

  • Domain swapping with enzymes having desired specificity characteristics

Recent advances in computational enzyme design have produced remarkable successes, as seen in the creation of enzymes with "remarkable catalytic efficiency" attributed to "a well-sculpted active site that shows a high degree of shape complementarity to the substrate" . Similar approaches could be applied to R. prowazekii Succinyl-CoA ligase to create variants with improved properties for biotechnological applications or basic research tools.

What emerging technologies could advance the study of R. prowazekii Succinyl-CoA ligase and its role in bacterial metabolism?

Several emerging technologies offer promising avenues for deeper understanding of R. prowazekii Succinyl-CoA ligase:

Cryo-electron microscopy:

  • High-resolution structural determination without crystallization

  • Visualization of different conformational states during catalysis

  • Structural characterization of the enzyme in complex with binding partners

  • Insights into oligomeric assembly in near-native conditions

Single-molecule enzymology:

  • Direct observation of individual enzyme molecules during catalysis

  • Characterization of conformational dynamics and rare states

  • Measurement of heterogeneity in enzyme behavior

  • Correlation of structural dynamics with catalytic efficiency

CRISPR-based technologies:

  • Development of conditional knockdown systems for Rickettsia

  • CRISPRi for tunable repression of sucC expression

  • Base editing for precise introduction of point mutations

  • In vivo tracking of enzyme localization and interactions

Advanced computational approaches:

  • Machine learning for predicting enzyme-substrate interactions

  • Quantum mechanics/molecular mechanics (QM/MM) for reaction mechanism elucidation

  • Artificial intelligence-guided directed evolution

  • Systems biology modeling of TCA cycle dynamics in Rickettsia

These technologies could provide unprecedented insights into how Succinyl-CoA ligase functions in the context of Rickettsia's unique metabolism, similar to how "machine learning for enzyme" approaches are already transforming our understanding of enzyme function and engineering .

How might studying R. prowazekii Succinyl-CoA ligase contribute to our understanding of metabolic evolution in obligate intracellular pathogens?

The study of R. prowazekii Succinyl-CoA ligase offers a valuable window into metabolic evolution of obligate intracellular pathogens:

Evolutionary insights:

  • Comparative genomics can reveal selective pressures on TCA cycle components during genomic reduction

  • Identification of conserved vs. variable features indicates core metabolic requirements

  • Reconstruction of the evolutionary history of metabolic adaptations to intracellular lifestyle

  • Understanding of host-pathogen metabolic co-evolution

Metabolic adaptation mechanisms:

  • Analysis of enzyme kinetic parameters across related species with different host ranges

  • Assessment of substrate specificity shifts during evolutionary transitions

  • Identification of regulatory adaptations that optimize function in the intracellular environment

  • Evaluation of metabolic integration with host pathways

Broader implications:

  • Extrapolation to other obligate intracellular bacteria with reduced genomes

  • Insights into minimal metabolic requirements for intracellular survival

  • Understanding fundamental principles of metabolic complementation between host and pathogen

  • Application to synthetic biology approaches for minimal cell design

This research contributes to our understanding of how pathogens like Rickettsia have evolved specialized metabolic systems while shedding apparently redundant pathways. As noted in research on R. prowazekii, "Continued characterization of the R. prowazekii recA gene and its expression in rickettsial cells during growth within the eucaryotic host should provide valuable information on rickettsial repair and recombination mechanisms" . Similarly, studies of sucC will illuminate how these organisms have adapted their central metabolism to the constraints and opportunities of intracellular life.

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