Recombinant Campylobacter jejuni subsp. jejuni serotype O:6 Succinyl-CoA ligase [ADP-forming] subunit beta (sucC)

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Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering.
Lead Time
Delivery time varies by purchase method and location. Consult local distributors for specific delivery times. All proteins are shipped with blue ice packs. For dry ice shipping, contact us in advance (extra fees apply).
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 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
Tag type is determined during manufacturing. If you require a specific tag, please inform us.
Synonyms
sucC; C8J_0494; 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
1-387
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Campylobacter jejuni subsp. jejuni serotype O:6 (strain 81116 / NCTC 11828)
Target Names
sucC
Target Protein Sequence
MNIHEYQAKA IFADNGIPTL KGKVAFSVDE AVSNAKELGG SVWAVKAQIH AGGRGLGGGV KIAKNLDEVK DYASKILGMN LATHQTGPEG KLVQKLYIES GANIVKEYYL AILFNRMAEQ ITIIASSEGG MDIEKVAKES PEKIAKVGID PQIGFKMFHG LEVARVLGLD KDEGKKLISM IAKLYKLYMD KDMNMLEINP LIKTAEGDFY ALDAKCSFDD SALYRHPEIA ELRDITEENP AEREAAEFGL SYVKLDGDVA CMVNGAGLAM ATMDIINYSG AKPANFLDVG GGASPETVAK AFEIILRDKN VKVIFINIFG GIVRCDRIAN GILEATKNVE VNIPIVVRLD GTNAAEAKTI LDNSNLKNIK AATNLKNGAE LVKSLVG
Uniprot No.

Target Background

Function
Succinyl-CoA synthetase, involved in the TCA cycle, couples succinyl-CoA hydrolysis to ATP/GTP synthesis. This is the only substrate-level phosphorylation step in the TCA cycle. The beta subunit determines nucleotide specificity and binds succinate, while the alpha subunit binds CoA and phosphate.
Database Links

KEGG: cju:C8J_0494

Protein Families
Succinate/malate CoA ligase beta subunit family

Q&A

What is the structure and function of Succinyl-CoA ligase (sucC) in Campylobacter jejuni?

Succinyl-CoA ligase (sucC) functions as the beta subunit of the succinyl-CoA ligase complex in the tricarboxylic acid (TCA) cycle of Campylobacter jejuni. This enzyme catalyzes the reversible conversion of succinyl-CoA to succinate coupled with ADP phosphorylation to generate ATP. In C. jejuni, this reaction is particularly important because the organism relies exclusively on amino acids as carbon sources rather than glucose, making the TCA cycle central to energy generation .

The protein typically operates as part of a heterodimeric enzyme with the alpha subunit (sucD). Structurally, sucC contains conserved nucleotide-binding domains characteristic of other bacterial succinyl-CoA ligases. The protein likely contains a CoA-binding domain and a nucleotide-binding domain, with catalytic residues positioned at the interface between these domains.

Research methodologies for studying sucC structure include X-ray crystallography, cryo-electron microscopy, and computational modeling. Functional characterization typically involves enzyme activity assays measuring ATP formation or succinyl-CoA consumption under varying conditions.

What expression systems are recommended for producing recombinant C. jejuni sucC protein?

Multiple expression systems have been utilized for the production of recombinant C. jejuni proteins, each with distinct advantages depending on research goals:

Expression SystemAdvantagesConsiderationsTypical Yield
E. coliHigh yield, simplicity, cost-effectiveMay require codon optimization5-15 mg/L
YeastPost-translational modificationsLonger production time3-10 mg/L
BaculovirusBetter for larger proteinsMore complex setup2-8 mg/L
Mammalian CellAuthentic folding and modificationsHighest cost, lowest yield0.5-3 mg/L

For optimal expression in E. coli systems, researchers should consider BL21(DE3) strains with pET vector systems, as these have shown good expression levels for C. jejuni proteins . The gene should ideally be codon-optimized for E. coli expression to overcome potential rare codon issues.

Methodologically, purification is typically facilitated by using an N-terminal histidine tag, with optimization of induction conditions (temperature, IPTG concentration, induction time) being critical for maximizing soluble protein yield. For proteins with solubility challenges, fusion partners such as MBP or SUMO may enhance solubility.

How does C. jejuni sucC compare with other bacterial TCA cycle enzymes in terms of metabolic significance?

C. jejuni's unique metabolic landscape makes sucC particularly significant compared to its role in other bacteria. Unlike most bacteria, C. jejuni lacks the ability to utilize glucose and other carbohydrates as carbon sources, instead relying on amino acids that feed into the TCA cycle . This makes the TCA cycle, including the sucC-catalyzed reaction, critical for energy generation.

The TCA cycle in C. jejuni functions as a complete oxidative cycle, unlike in some anaerobic bacteria where it operates partially or in reverse. Other TCA cycle enzymes, such as the dual-functioning fumarate reductase (Frd), which serves as the sole succinate dehydrogenase in C. jejuni, have been studied in greater detail than sucC . The Frd enzyme contains three subunits and plays a crucial role in the oxidation of succinate to fumarate, a key step in the oxidative TCA cycle.

Research approaches to compare sucC with other TCA cycle enzymes include:

  • Metabolic flux analysis using isotope-labeled amino acids

  • Growth studies with specific enzyme mutants under various conditions

  • Comparative genomics and phylogenetic analysis across bacterial species

  • Enzyme kinetics studies comparing recombinant proteins from different sources

What methodologies are most effective for studying the potential role of sucC in C. jejuni pathogenesis?

Investigating sucC's contribution to C. jejuni pathogenesis requires sophisticated experimental approaches:

  • Genetic manipulation studies:

    • Construction of ΔsucC deletion mutants using homologous recombination

    • Complementation with wild-type or mutated sucC variants

    • Site-directed mutagenesis of catalytic residues to create enzymatically inactive variants

    • Conditional expression systems to control sucC expression timing

  • Host-pathogen interaction models:

    • Intestinal epithelial cell adhesion and invasion assays

    • Macrophage survival and replication studies

    • Galleria mellonella infection model for rapid virulence assessment

    • Mouse colonization models with wild-type and ΔsucC strains

  • Metabolic analyses in infection-relevant conditions:

    • Metabolomic profiling during host cell interaction

    • Measurement of energy charge and redox state during infection

    • Isotope labeling to track carbon flow through the TCA cycle in vivo

    • Comparative analysis with other TCA cycle enzyme mutants

  • Systems biology approaches:

    • Transcriptomic analysis of wild-type versus ΔsucC strains during infection

    • Proteomics to identify interaction partners during infection process

    • Network analysis to position sucC in pathogenicity-associated pathways

    • Comparative genomics across strains with varying virulence

These approaches should be integrated to distinguish between direct virulence contributions and indirect effects due to altered metabolism. For example, recent studies with other metabolic enzymes in C. jejuni have demonstrated that elevated energy metabolism is closely related to high pathogenicity characterized by frequent colonization and severe intestinal inflammation in mice .

How can researchers evaluate sucC as a potential vaccine candidate against C. jejuni?

Evaluating sucC as a vaccine candidate requires systematic assessment through several experimental phases:

  • Antigen preparation and characterization:

    • Production of highly purified recombinant sucC (>95% purity)

    • Endotoxin removal to <0.1 EU/μg protein using validated methods

    • Structural verification through circular dichroism or thermal shift assays

    • Epitope prediction and mapping using computational and experimental approaches

  • Immunization studies:

    • Formulation testing with various adjuvants (aluminum salts, oil-in-water emulsions)

    • Dose-response assessment to determine optimal antigen concentration

    • Comparison of administration routes (subcutaneous, intramuscular, mucosal)

    • Prime-boost schedules optimization for maximum response

  • Immune response characterization:

    • Antibody titer measurement by ELISA at multiple timepoints

    • Isotype and subclass distribution analysis

    • T-cell response assessment (proliferation, cytokine production)

    • Functional antibody testing (neutralization, opsonization)

  • Protection assessment:

    • Challenge studies in appropriate animal models

    • Measurement of bacterial load reduction in intestinal tissues

    • Assessment of symptom severity and duration

    • Cross-protection testing against heterologous C. jejuni strains

Recent research has demonstrated that metabolic enzymes can serve as effective vaccine targets. For example, QcrC, a subunit of menaquinol cytochrome c reductase complex in C. jejuni, has shown promise as a vaccine antigen. Subcutaneous immunization with recombinant QcrC induced C. jejuni-specific serum IgG antibody production and significantly suppressed both oxygen consumption rate and growth of C. jejuni .

When evaluating sucC as a vaccine candidate, researchers should include appropriate controls, such as adjuvant-only groups, irrelevant protein controls of similar size, and pre-immune sera for baseline measurements.

What experimental designs are most appropriate for distinguishing between the catalytic and non-catalytic functions of sucC in C. jejuni?

Distinguishing between catalytic and potential non-catalytic (moonlighting) functions of sucC requires carefully designed experimental approaches:

  • Structure-function analysis:

    • Site-directed mutagenesis of catalytic residues (based on structural predictions)

    • Construction of domain deletion variants to isolate functional regions

    • Creation of chimeric proteins with domains from different species

    • Point mutations that alter substrate specificity without affecting structure

  • Comparative phenotypic analysis:

    • Side-by-side assessment of wild-type, deletion mutant, and catalytically inactive mutant

    • Growth kinetics under various stress conditions (oxygen limitation, nutrient restriction)

    • Metabolomic profiling to differentiate metabolic from non-metabolic effects

    • Host cell interaction studies with all variants

  • Protein interaction studies:

    • Pull-down experiments with wild-type and catalytically inactive sucC

    • Bacterial two-hybrid screening to identify interaction partners

    • Cross-linking followed by mass spectrometry to map protein-protein interactions

    • Comparative interactome analysis between active and inactive variants

  • Localization and trafficking analysis:

    • Subcellular fractionation to identify unexpected compartmentalization

    • Fluorescent protein fusions to track localization under different conditions

    • Surface display analysis of wild-type and mutant proteins

    • Immunogold electron microscopy for high-resolution localization

Experimental ApproachKey Question AddressedExpected Results for Moonlighting Function
Catalytic mutant phenotypingIs the phenotype dependent on enzymatic activity?Phenotype persists despite loss of catalytic function
Heterologous complementationCan another enzyme replace sucC?Only full sucC complements all functions
Protein interaction mappingDoes sucC interact with non-metabolic proteins?Interactions persist in catalytically dead mutants
Abnormal localization studiesIs sucC found in unexpected cellular locations?Presence in membrane fractions or secreted forms

A similar approach has been used to study other C. jejuni proteins, such as the QcrC protein, where specific monoclonal antibodies were developed to target functional molecules conserved across multiple C. jejuni strains but not expressed by related species .

How should researchers design experiments to assess the impact of environmental conditions on sucC expression and function?

Environmental conditions significantly influence C. jejuni metabolism and virulence, making systematic assessment of sucC expression and function under varying conditions crucial:

  • Environmental variation experiments:

    • Temperature ranges relevant to host and environment (4°C, 37°C, 42°C)

    • Oxygen tension variations (microaerobic, aerobic, anaerobic)

    • Nutrient limitation studies (amino acid restriction, metal limitation)

    • pH gradients reflecting intestinal conditions (pH 5.5-8.0)

    • Bile salt exposure mimicking intestinal environment

  • Expression analysis techniques:

    • Quantitative RT-PCR for transcript level measurement

    • Western blotting with specific antibodies for protein quantification

    • Translational reporter fusions (luciferase, GFP) for real-time monitoring

    • Proteomics for global protein expression patterns

    • Single-cell analysis to detect population heterogeneity

  • Functional assessment approaches:

    • Enzyme activity assays under different environmental conditions

    • Growth rate determination in various media formulations

    • Metabolite profiling using LC-MS/MS

    • Oxygen consumption rate measurements

    • ATP production quantification

  • Regulatory network analysis:

    • Promoter mapping and activity assessment

    • Chromatin immunoprecipitation to identify regulatory proteins

    • Transcription start site determination using 5' RACE

    • Mutational analysis of potential regulatory elements

Research with other TCA cycle enzymes in C. jejuni has demonstrated significant changes in expression and activity under different culture conditions. For example, studies have shown that the metabolic activity of C. jejuni changed significantly in different culture conditions, particularly decreasing when C. jejuni was grown on agar compared to liquid media . These changes correlated with altered virulence properties, suggesting environmental sensing mechanisms link metabolism to pathogenicity.

What are the best approaches for studying potential interactions between sucC and the host immune system?

Investigating the interactions between C. jejuni sucC and the host immune system requires multifaceted experimental approaches:

  • In vitro immune cell stimulation:

    • Exposure of dendritic cells, macrophages, or PBMCs to purified recombinant sucC

    • Measurement of cytokine/chemokine production by ELISA or multiplexed assays

    • Analysis of cell surface activation markers by flow cytometry

    • Transcriptomic profiling to identify immune pathways activated by sucC

  • Antigenicity and immunogenicity assessment:

    • Epitope mapping using overlapping peptide libraries

    • HLA binding prediction and validation

    • T cell epitope identification through ELISpot assays

    • B cell epitope mapping using antibody binding studies

  • Host response to sucC during infection:

    • Comparison of immune responses to wild-type and ΔsucC mutant strains

    • Measurement of sucC-specific antibodies in infected hosts

    • Histopathological examination of infected tissues

    • Immune cell infiltration and activation analysis

  • Molecular interaction studies:

    • Investigation of potential interactions with pattern recognition receptors

    • Assessment of inflammasome activation potential

    • Studies of antigen processing and presentation pathways

    • Analysis of signaling pathway activation in host cells

Similar studies with other C. jejuni proteins have yielded valuable insights. For example, research with QcrC showed that subcutaneous immunization with recombinant protein induced C. jejuni-specific serum IgG antibody production that significantly suppressed bacterial growth . When comparing approaches, researchers should consider using fragment-based analysis as well as whole-protein studies, as different domains may interact differently with immune components.

What are the optimal protocols for assessing enzymatic activity of recombinant C. jejuni sucC protein?

Accurate assessment of recombinant C. jejuni sucC enzymatic activity requires specialized protocols tailored to its function in the TCA cycle:

  • Forward reaction (Succinyl-CoA → Succinate) assay:

    • Spectrophotometric monitoring of ADP → ATP conversion

    • Coupled enzyme system using pyruvate kinase and lactate dehydrogenase

    • NADH oxidation measurement at 340 nm

    • Reaction buffer: 50 mM HEPES (pH 7.5), 5 mM MgCl₂, 1 mM DTT, 0.1 mM ATP

  • Reverse reaction (Succinate → Succinyl-CoA) assay:

    • Measurement of CoA incorporation using DTNB (Ellman's reagent)

    • Absorbance monitoring at 412 nm

    • Reaction buffer: 50 mM Tris-HCl (pH 8.0), 5 mM MgCl₂, 100 mM KCl, 1 mM CoA

  • Enzyme kinetics determination:

    • Substrate concentration ranges: 0.05-5 mM succinyl-CoA or succinate

    • Temperature optimization (typically 37°C for C. jejuni enzymes)

    • pH profiling (pH 6.0-9.0)

    • Metal cofactor optimization (Mg²⁺, Mn²⁺)

  • Quality control measures:

    • Verification of recombinant protein purity (>95% by SDS-PAGE)

    • Confirmation of proper folding via circular dichroism

    • Size exclusion chromatography to verify oligomeric state

    • Thermal shift assays to assess stability

ParameterForward ReactionReverse ReactionNotes
Typical Km0.2-0.5 mM (succinyl-CoA)1-5 mM (succinate)Values are estimates based on similar enzymes
Vmax calculationΔA340/min using extinction coefficient of NADH (6220 M⁻¹cm⁻¹)ΔA412/min using extinction coefficient of TNB (14,150 M⁻¹cm⁻¹)Adjust for any dilution factors
Specific activityμmol product/min/mg proteinμmol product/min/mg proteinReported at saturating substrate concentrations
Common inhibitorsOxaloacetate, ATP (high conc.)NaF, high CoA concentrationsUse as controls to verify specific activity

For accurate activity measurements, researchers should ensure that the beta subunit (sucC) is either co-expressed or reconstituted with the alpha subunit (sucD), as the complete enzyme is a heterodimer. Similar approaches have been used to study the enzymatic activity of other C. jejuni metabolic enzymes, such as the fumarate reductase and succinate dehydrogenase enzymes .

What are common challenges in purifying active recombinant C. jejuni sucC and how can they be addressed?

Researchers frequently encounter several challenges when purifying recombinant C. jejuni sucC protein:

  • Solubility issues:

    • Challenge: Formation of inclusion bodies in E. coli expression systems

    • Solutions:

      • Lower induction temperature to 16-20°C

      • Use solubility-enhancing fusion tags (MBP, SUMO, TrxA)

      • Co-express with chaperones (GroEL/ES, DnaK/J)

      • Express in specialized strains (ArcticExpress, Rosetta-gami)

  • Stability concerns:

    • Challenge: Activity loss during purification

    • Solutions:

      • Add glycerol (10-20%) to all buffers

      • Include reducing agents (1-5 mM DTT)

      • Maintain cold temperature throughout purification

      • Add protease inhibitors to prevent degradation

  • Co-purification requirements:

    • Challenge: Need for co-purification with alpha subunit (sucD)

    • Solutions:

      • Co-expression from bicistronic construct

      • Sequential purification of both subunits followed by reconstitution

      • Tandem affinity purification using different tags on each subunit

      • Native purification maintaining existing complexes

  • Contaminating activities:

    • Challenge: Host enzyme activities masking sucC function

    • Solutions:

      • Multiple purification steps (IMAC followed by ion exchange)

      • Activity assays with specific inhibitors

      • Control assays with heat-inactivated enzyme

      • Comparison with purified enzyme from commercial sources

Purification StrategyTypical YieldPurityActivity RetentionNotable Considerations
Single-step IMAC8-12 mg/L85-90%70-80%Fastest method but moderate purity
IMAC + Size Exclusion5-8 mg/L>95%75-85%Better separation of oligomeric states
MBP fusion15-20 mg/L80-85%65-75%Higher solubility but potential MBP interference
Co-expression with sucD3-6 mg/L85-90%85-95%Lower yield but higher activity

Similar challenges have been reported when purifying other C. jejuni proteins. For example, when working with QcrC, researchers were able to produce functional recombinant protein for immunization studies, which successfully induced C. jejuni-specific antibodies .

How can researchers optimize primer design for cloning and expression of C. jejuni sucC?

Effective primer design is critical for successful cloning and expression of C. jejuni sucC, requiring consideration of several key factors:

  • Basic primer design principles:

    • Length: 18-30 nucleotides for gene-specific regions

    • GC content: 40-60% for optimal annealing

    • Melting temperature (Tm): 55-65°C with <5°C difference between primer pairs

    • Avoid secondary structures: Check for self-complementarity and hairpin formation

    • Terminal G/C: Include 1-2 G/C nucleotides at 3' end for stable annealing

  • Cloning-specific considerations:

    • Restriction enzyme sites: Add 5-6 nucleotide overhangs before restriction sites

    • Reading frame preservation: Carefully calculate to maintain correct translation

    • Vector compatibility: Match restrictions sites with chosen expression vector

    • Kozak sequence: Include appropriate translation initiation context

    • Removal of internal restriction sites: Consider synonymous mutations if needed

  • Expression optimization elements:

    • Affinity tags: Include sequences for His, FLAG, or other purification tags

    • Protease cleavage sites: Add TEV or thrombin sites for tag removal

    • Codon optimization: Modify sequences for E. coli preferred codons

    • Fusion partners: Consider adding solubility enhancers (MBP, SUMO)

    • Signal sequences: Include if secretion or membrane targeting is desired

  • C. jejuni-specific considerations:

    • High AT content: Design primers to avoid AT-rich regions if possible

    • Codon usage: C. jejuni has different codon bias than E. coli

    • Secondary structures: Check for potential structures in template DNA

    • Gene verification: Design sequencing primers every 500-700 bp

Example primer design for sucC amplification and cloning:

Primer PurposeSequence (5' to 3')Features
Forward with NdeIGCGCATATGATGXXXXXXXXXXXXXGCGC (overhang), CATATG (NdeI), ATG (start codon)
Reverse with XhoIGCGCTCGAGTTAXXXXXXXXXXGCGC (overhang), CTCGAG (XhoI), TTA (stop codon)
Forward for His-tagGCGCATATGCATCATCATCATCATCATATGXXXXXIncludes 6xHis sequence after start codon
Sequencing primer 1XXXXXXXXXXXXXXXXXXXXXXXTargets ~500 bp into gene
Sequencing primer 2XXXXXXXXXXXXXXXXXXXXXXXTargets ~1000 bp into gene

When designing primers, researchers should verify them using tools like Primer-BLAST to check for specificity, OligoAnalyzer for secondary structure prediction, and NEBcutter for restriction site analysis.

What controls are essential when evaluating the effects of sucC knockout on C. jejuni pathogenicity?

Rigorous experimental controls are critical when evaluating the effects of sucC knockout on C. jejuni pathogenicity:

  • Genetic complementation controls:

    • Wild-type complementation: Reintroduction of native sucC gene

    • Plasmid-only control: Empty vector to control for plasmid effects

    • Site-specific complementation: Insertion at original locus vs. ectopic

    • Heterologous complementation: sucC from related species

  • Phenotypic validation controls:

    • Growth curve analysis in multiple media formulations

    • Metabolomic profiling to verify expected metabolic changes

    • Enzyme activity assays to confirm loss of sucC function

    • Whole transcriptome analysis to detect compensatory changes

  • In vitro pathogenicity controls:

    • Wild-type strain from same background

    • Unrelated knockout with known pathogenicity effects

    • Multiple independent sucC knockout clones

    • Control for growth rate differences in interpretation

  • In vivo model controls:

    • Mock-infected animals

    • Animals infected with heat-killed bacteria

    • Competitive index assays (wild-type vs. mutant co-infection)

    • Histopathological analysis with blinded scoring

Similar approaches have been used when studying other metabolic genes in C. jejuni. For example, when evaluating the role of QcrC in pathogenicity, researchers found that mouse intestine colonized by C. jejuni with high QcrC expression showed the greatest intestinal inflammation, demonstrating the link between metabolic function and pathogenicity .

A particularly important consideration for sucC studies is the potential for polar effects when creating knockout mutants, as sucC is likely part of an operon with other genes. Researchers should verify that observed phenotypes are specifically due to sucC deletion rather than downstream effects on co-transcribed genes.

How do mutations in the sucC gene affect C. jejuni metabolism and virulence across different environmental conditions?

The impact of sucC mutations on C. jejuni metabolism and virulence varies significantly across environmental conditions:

  • Metabolic consequences of sucC mutation:

    • Disruption of the TCA cycle leading to altered energy production

    • Accumulation of upstream metabolites (e.g., succinyl-CoA)

    • Potential rerouting of carbon flow through alternative pathways

    • Changes in redox balance affecting electron transport chain function

  • Environmental condition effects:

    • Temperature-dependent phenotypes (37°C human host vs. 42°C avian host)

    • Oxygen tension response (microaerobic environments vs. oxygen-limited niches)

    • Nutrient availability adaptation (amino acid-rich vs. nutrient-poor conditions)

    • Stress response variations (acid stress, bile salt exposure, oxidative stress)

  • Virulence factor modulation:

    • Altered motility affecting host colonization capacity

    • Changes in adhesion and invasion properties

    • Modified biofilm formation ability

    • Variations in stress resistance affecting survival in host

  • Host-specific adaptations:

    • Different colonization patterns in various host species

    • Altered persistence in environmental reservoirs

    • Changed transmission efficiency between hosts

    • Varied immune response elicitation

Recent studies with other metabolic genes in C. jejuni have demonstrated that metabolic enzyme expression levels can significantly impact pathogenicity. For example, researchers found that elevated expression of QcrC, a component of the respiratory chain, correlated with increased colonization frequency and more severe intestinal inflammation in mice . Similar relationships likely exist for sucC, where expression levels may vary in response to environmental conditions, affecting both metabolic capacity and virulence potential.

When studying sucC mutations, researchers should examine effects across a comprehensive range of conditions rather than in a single laboratory setting, as phenotypes may only become apparent under specific environmental stresses.

What bioinformatic approaches are most valuable for analyzing the evolution of sucC across Campylobacter species?

Analyzing the evolution of sucC across Campylobacter species requires sophisticated bioinformatic approaches:

  • Sequence-based evolutionary analysis:

    • Multiple sequence alignment using MUSCLE, MAFFT, or Clustal Omega

    • Phylogenetic tree construction using Maximum Likelihood or Bayesian methods

    • Selection pressure analysis through dN/dS ratio calculation

    • Identification of conserved domains and catalytically important residues

  • Structural bioinformatics:

    • Homology modeling using solved crystal structures as templates

    • Molecular dynamics simulations to assess functional impacts of variations

    • Evolutionary conservation mapping onto 3D structures

    • Protein-protein interaction interface prediction

  • Genomic context analysis:

    • Operon structure comparison across species

    • Synteny mapping to identify genomic rearrangements

    • Horizontal gene transfer detection using composition-based methods

    • Regulatory element identification in promoter regions

  • Functional prediction tools:

    • Gene ontology term enrichment analysis

    • Protein family classification using HMM profiles

    • Metabolic pathway reconstruction and comparison

    • Network-based functional prediction approaches

Analysis ToolApplicationOutputInterpretation
PAML (codeml)Selection analysisω (dN/dS) valuesω < 1: purifying selection; ω > 1: positive selection
ConSurfConservation mappingResidue conservation scoresIdentifies functionally important regions
I-TASSERStructure prediction3D models with confidence scoresProvides structural context for sequence variations
STRINGInteraction networkProtein-protein interaction predictionsReveals functional associations conserved across species

Similar approaches have been applied to other C. jejuni proteins. For example, researchers compared QcrC amino acid sequences between C. jejuni and C. coli to identify species-specific differences and epitope regions that could be targeted by antibodies specifically reactive to C. jejuni but not related species .

What are the most effective high-throughput methods for screening sucC inhibitors as potential antimicrobial agents?

High-throughput screening for sucC inhibitors requires sophisticated methodologies that balance throughput with accuracy:

  • Primary screening assays:

    • Coupled enzyme spectrophotometric assays measuring NADH oxidation

    • Fluorescence-based assays tracking ATP production

    • Bioluminescence detection of ADP formation via luciferase coupling

    • Thermal shift assays to identify compounds that bind and stabilize sucC

  • Counter-screening and validation:

    • Testing against purified enzyme from related bacteria for selectivity

    • Screening against human ATP citrate lyase to identify host toxicity

    • Validation in alternate assay formats to eliminate false positives

    • Dose-response curves to determine IC50 values

  • Whole-cell antimicrobial assays:

    • Growth inhibition assessment in microaerobic conditions

    • Resazurin-based viability determination

    • Bioluminescent reporter strains for real-time monitoring

    • Time-kill kinetics to determine bacteriostatic vs. bactericidal activity

  • Advanced characterization techniques:

    • Mode of inhibition determination (competitive, non-competitive)

    • Surface plasmon resonance to measure binding kinetics

    • Isothermal titration calorimetry for thermodynamic parameters

    • X-ray crystallography of enzyme-inhibitor complexes

Screening ApproachThroughputAdvantagesLimitationsSuccess Metrics
Spectrophotometric assay10,000-50,000 cpds/dayDirect activity measurementInterference from colored compoundsZ' > 0.7, CV < 10%
Thermal shift50,000-100,000 cpds/dayDetects binding independent of mechanismBinding doesn't always affect functionΔTm > 2°C
Whole-cell growth5,000-20,000 cpds/dayIdentifies compounds with cell penetrationNon-specific toxicitySelectivity index > 10
ATP biosensor20,000-80,000 cpds/dayHigh sensitivityIndirect measure of activitySignal:background > 5:1

Recent studies with other C. jejuni enzymes have demonstrated the potential of targeting metabolic functions. For example, researchers have shown that antibodies targeting QcrC could suppress the oxygen consumption rate and growth of C. jejuni , suggesting that small molecule inhibitors of key metabolic enzymes like sucC could similarly affect bacterial viability.

How can researchers integrate structural biology approaches to understand sucC function in C. jejuni?

Integrating structural biology approaches provides critical insights into sucC function in C. jejuni:

  • Structure determination methodologies:

    • X-ray crystallography for high-resolution static structures

    • Cryo-electron microscopy for larger complexes or flexible regions

    • NMR spectroscopy for dynamics and ligand-binding studies

    • Small-angle X-ray scattering for solution conformation analysis

  • Computational structure analysis:

    • Molecular dynamics simulations to study conformational changes

    • Normal mode analysis to identify functional movements

    • Molecular docking to predict substrate and inhibitor binding

    • Electrostatic surface mapping to identify interaction interfaces

  • Structure-guided functional studies:

    • Site-directed mutagenesis based on structural insights

    • Hydrogen-deuterium exchange mass spectrometry for dynamic regions

    • Disulfide cross-linking to validate predicted domain movements

    • FRET-based assays to measure conformational changes

  • Complex formation analysis:

    • Chemical cross-linking coupled with mass spectrometry

    • Blue native PAGE to identify native complexes

    • Single-particle analysis of multi-protein assemblies

    • Integrative modeling combining multiple data sources

Similar structural biology approaches have been applied to other C. jejuni proteins. For example, researchers used computational structure prediction tools like AlphaFold to model the three-dimensional structure of QcrC fragments and predict the effects of single-point mutations on antibody binding . These studies revealed key residues involved in species-specific recognition by monoclonal antibodies.

For sucC, structural studies would be particularly valuable for understanding its interaction with the alpha subunit (sucD), substrate binding determinants, and potential allosteric regulation sites. Combining structural data with enzymatic assays and in vivo studies provides a comprehensive understanding of how structure dictates function in the cellular context.

What criteria should be used to evaluate sucC as a potential diagnostic biomarker for C. jejuni infection?

Evaluating sucC as a diagnostic biomarker requires systematic assessment against established diagnostic performance criteria:

  • Analytical performance evaluation:

    • Sensitivity calculation using ROC curve analysis (target: >90%)

    • Specificity determination against related species (target: >95%)

    • Limit of detection establishment (target: <10³ CFU/mL)

    • Reproducibility assessment (coefficient of variation <15%)

  • Clinical validation parameters:

    • Positive and negative predictive values in relevant populations

    • Performance across different sample types (stool, food, environmental)

    • Comparison with gold standard culture methods

    • Time-to-result versus conventional methods

  • Technical considerations:

    • Stability under various storage and handling conditions

    • Adaptability to point-of-care testing formats

    • Potential for multiplexing with other biomarkers

    • Cost-effectiveness compared to existing methods

  • Implementation factors:

    • Ease of sample preparation requirements

    • Compatibility with existing laboratory workflows

    • Equipment requirements and complexity

    • Potential regulatory pathways and requirements

Research on other C. jejuni proteins has shown promise for diagnostic applications. For example, QcrC was found to be conserved among C. jejuni strains including clinical isolates, but not expressed by related species such as C. coli and C. fetus, making it a potential diagnostic target .

When evaluating sucC as a biomarker, researchers should consider both antigen detection approaches (detecting the protein itself) and serological approaches (detecting host antibody responses to sucC). Each approach has different applications, with antigen detection suitable for acute diagnosis and antibody detection more appropriate for epidemiological studies or post-infection diagnosis.

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