Phosphoserine aminotransferase (SerC) is an enzyme involved in serine biosynthesis, catalyzing the conversion of 3-phosphohydroxypyruvate to phosphoserine. While serC is well-studied in mycobacteria (e.g., Mycobacterium smegmatis and BCG vaccine strains) as a regulator of biofilm formation and serine metabolism , no studies in the provided sources associate serC with Salmonella Heidelberg.
Function:
FlgK Protein:
A flagellar hook-associated protein (61 kDa, 553 amino acids) conserved across Salmonella Heidelberg isolates .
Epitope mapping identified three immunogenic regions (positions 77–95, 243–255, 358–373) as potential vaccine targets .
Physicochemical properties:
| Property | Value |
|---|---|
| Molecular Mass | 59.11 kDa |
| Theoretical pI | 4.79 |
| Instability Index | 30.10 (stable) |
| Aliphatic Index | 84.34 |
| GRAVY Score | -0.363 (hydrophilic) |
Antimicrobial Resistance:
Gene Prioritization:
Species-Specific Pathways:
Comparative Genomics:
Analyze Salmonella Heidelberg genomes for serC homologs and compare their regulatory mechanisms with mycobacterial systems.
Functional Studies:
Clone and express Salmonella Heidelberg serC in recombinant systems (e.g., E. coli) to assess its enzymatic activity and role in stress tolerance.
KEGG: seh:SeHA_C1075
Phosphoserine aminotransferase (serC) is an essential enzyme that belongs to the class-V pyridoxal-phosphate-dependent aminotransferase family, specifically the SerC subfamily. In Salmonella heidelberg, serC catalyzes the reversible conversion of 3-phosphohydroxypyruvate to phosphoserine and of 3-hydroxy-2-oxo-4-phosphonooxybutanoate to phosphohydroxythreonine . This enzymatic activity plays a critical role in amino acid metabolism, particularly in the biosynthesis of serine, which is essential for bacterial growth and survival. The protein consists of 362 amino acids with a molecular weight of approximately 39.9 kDa in Salmonella heidelberg strain SL476 . Understanding serC's function is fundamental for comprehending the metabolic pathways in Salmonella and potentially identifying targets for antimicrobial intervention.
Salmonella heidelberg strains exhibit various genomic characteristics that may influence serC expression. Whole-genome sequencing (WGS) analyses have revealed that S. heidelberg isolates often contain multiple resistance genes, including fosA7, aac(6')-Iaa, sul2, tet(A), blaCMY-2, mdsA, and mdsB, as well as point mutations in gyrA and parC . These genomic features contribute to the multidrug-resistant profile observed in many S. heidelberg strains. Additionally, S. heidelberg commonly contains plasmids such as ColpVC, IncC, IncX1, and IncI1-I(Alpha), which may carry genes that interact with or regulate metabolic pathways involving serC . The genomic context surrounding the serC gene, including promoter regions and regulatory elements, can significantly impact its expression levels and subsequent enzymatic activity, potentially affecting bacterial fitness and virulence.
While serC itself is primarily a metabolic enzyme, its role in amino acid biosynthesis indirectly contributes to Salmonella heidelberg pathogenicity. The enzyme is essential for bacterial growth and survival, particularly in nutrient-limited environments such as those encountered during host infection. In S. heidelberg strains, virulence factors include genes related to adherence, macrophage induction, magnesium uptake, regulation, and type III secretion systems . These virulence mechanisms, supported by proper metabolic function (including serC activity), enable S. heidelberg to cause gastroenteritis in humans through contaminated food consumption. Some outbreak strains possess specific genetic elements like the safABCD operon encoding adhesive fimbriae that enhance pathogenesis, which is unusual for S. heidelberg and more commonly found in S. Typhimurium . The metabolic fitness provided by functional serC likely supports these virulence mechanisms, making it an indirect contributor to pathogenicity.
Analyzing the relationship between antimicrobial resistance genes and serC function in multidrug-resistant (MDR) Salmonella heidelberg requires a multi-faceted experimental approach:
Comparative genomics: Perform whole-genome sequencing of multiple S. heidelberg isolates with different resistance profiles to identify potential genetic linkages between resistance determinants and serC regulatory elements. Studies have shown that S. heidelberg isolates often harbor resistance genes against multiple antimicrobial classes .
Transcriptomic analysis: Utilize RNA-seq to compare serC expression levels in resistant versus susceptible strains under various conditions, including exposure to sub-inhibitory concentrations of antibiotics. This can reveal if resistance mechanisms alter serC expression.
Metabolomic profiling: Measure levels of serC substrates and products (3-phosphohydroxypyruvate, phosphoserine) in MDR strains to determine if metabolic flux through this pathway is altered in resistant bacteria.
Structural biology approaches: Examine if resistance-conferring plasmids like IncC, which has been identified in MDR S. heidelberg strains , encode proteins that might interact with serC or affect its post-translational modifications.
Gene knockout studies: Create serC knockout mutants in MDR S. heidelberg strains and assess changes in antimicrobial susceptibility profiles.
A table summarizing antimicrobial resistance profiles commonly observed in S. heidelberg isolates:
These methods together can elucidate whether antimicrobial resistance mechanisms directly or indirectly influence serC function and the broader metabolic network.
Phosphoserine aminotransferase (serC) likely plays a significant role in S. heidelberg adaptation to diverse host environments through several mechanisms:
Nutritional versatility: SerC's involvement in serine biosynthesis provides metabolic flexibility when adapting to nutrient-limited host environments. This is particularly relevant as S. heidelberg has been isolated from multiple sources including chicken meat, bovine meat, drag swabs, and animal feed .
Stress response contribution: Amino acid biosynthesis pathways, including those involving serC, are often modulated during stress responses when bacteria transition between environments with different pH, temperature, and nutrient availability.
Host-specific adaptation: S. heidelberg strains show genomic relationships with isolates from diverse geographical regions, including the United Kingdom, Chile, Germany, the Netherlands, China, South Africa, and South Korea . This global distribution suggests adaptability potentially linked to metabolic flexibility provided by enzymes like serC.
Cross-species transmission potential: The outbreak of MDR S. heidelberg documented in search result showed transmission from calves to humans, emphasizing the pathogen's ability to adapt to different host species. The metabolic pathways involving serC may contribute to this zoonotic potential.
Experimental approaches to investigate this role could include:
Comparative transcriptomics of serC expression in S. heidelberg grown in media mimicking different host environments
Creation of serC mutants with altered activity levels to assess colonization ability in different animal models
Metabolomic profiling of serine pathway intermediates during host adaptation processes
Understanding the structural and functional variations of serC across Salmonella serovars requires detailed comparative analysis:
Sequence alignment analysis: Comparative analysis of serC sequences from S. heidelberg and other serovars can reveal conserved domains and serovar-specific variations. The SerC protein from S. heidelberg strain SL476 consists of 362 amino acids , and this can serve as a reference for comparison.
Structural modeling: Homology modeling of serC from different serovars can identify structural differences that might affect substrate binding, catalytic efficiency, or protein-protein interactions. Key structural elements include the pyridoxal phosphate binding site, characteristic of class-V aminotransferases .
Enzyme kinetics comparison: Recombinant serC proteins from different serovars can be purified and characterized enzymatically to determine variations in:
Substrate affinity (Km values)
Catalytic efficiency (kcat/Km)
Optimal pH and temperature ranges
Allosteric regulation mechanisms
Genomic context analysis: The organization of genes surrounding serC may differ between serovars, potentially affecting its regulation and expression patterns.
Functional complementation studies: Testing whether serC from S. heidelberg can complement serC mutations in other serovars (and vice versa) can reveal functional equivalence or specialization.
While specific comparative data for serC across serovars is not directly presented in the search results, the approach to such analysis would follow established protocols for enzyme characterization and structural biology.
Recombinant Salmonella heidelberg Phosphoserine aminotransferase (serC) presents several opportunities for developing novel antimicrobial strategies against multidrug-resistant strains:
Inhibitor development pipeline:
Use purified recombinant serC for high-throughput screening of small molecule inhibitors
Conduct structure-based drug design targeting serC's active site
Develop peptidomimetics that interfere with serC function based on substrate analogs
Test identified inhibitors against MDR S. heidelberg strains that show resistance to conventional antibiotics
Vaccine development applications:
Explore serC as a component in subunit vaccine formulations, particularly since S. heidelberg is commonly associated with zoonotic transmission
Investigate attenuated S. heidelberg strains with modified serC expression as potential live vaccine candidates, leveraging approaches similar to those described for other Salmonella vaccines
Engineer recombinant vaccines expressing modified serC alongside known protective antigens
Diagnostic tool development:
Develop serC-based assays to rapidly detect and identify pathogenic S. heidelberg strains
Create antibodies against unique serC epitopes for immunodiagnostic applications
Design molecular beacons targeting serC sequence variations specific to virulent strains
Given that MDR S. heidelberg strains often show resistance to critical antimicrobials including ampicillin, ceftriaxone, and ciprofloxacin , targeting metabolic enzymes like serC that have not been traditional antibiotic targets represents a promising alternative strategy.
Characterizing the enzymatic activity of recombinant Salmonella heidelberg serC requires robust methodologies that account for its specific catalytic properties. The most reliable experimental methods include:
Spectrophotometric assays:
Continuous monitoring of 3-phosphohydroxypyruvate to phosphoserine conversion by coupling with NADH-dependent enzymes
Measurement of pyridoxal phosphate (cofactor) absorption changes during catalysis
Determination of enzyme kinetics parameters (Km, Vmax) under varying substrate concentrations
Chromatography-based methods:
HPLC separation and quantification of substrates and products to directly measure conversion rates
LC-MS/MS for precise determination of reaction intermediates and products
Size-exclusion chromatography to assess oligomeric state and stability
Biophysical characterization techniques:
Circular dichroism spectroscopy to evaluate secondary structure composition and stability
Differential scanning calorimetry to determine thermal stability and unfolding parameters
Isothermal titration calorimetry to measure binding affinities of substrates and inhibitors
Activity assays under varying conditions:
pH dependency profiles (pH 5.0-9.0) to determine optimal catalytic conditions
Temperature dependency studies (20-50°C) to establish thermal stability and activity relationships
Metal ion dependency analysis to identify cofactor requirements
Structural validation methods:
X-ray crystallography of serC in complex with substrates or substrate analogs
Hydrogen-deuterium exchange mass spectrometry to map protein dynamics during catalysis
Site-directed mutagenesis of key residues followed by activity measurements
These methods collectively provide a comprehensive characterization of recombinant serC, essential for understanding its biochemical properties and potential as a target for antimicrobial development.
Creating attenuated Salmonella heidelberg strains through serC modification for vaccine development requires strategic genetic engineering approaches:
Targeted mutagenesis strategies:
Create conditional serC mutants using temperature-sensitive promoters to allow controlled attenuation
Develop serC variants with reduced catalytic efficiency through site-directed mutagenesis of active site residues
Engineer strains with serC under the control of in vivo-inducible promoters for environmental regulation
Balance of attenuation and immunogenicity:
Optimize serC expression levels to achieve sufficient attenuation without compromising bacterial viability and antigen presentation
Combine serC modifications with other attenuating mutations in virulence or metabolic genes to create stable vaccine candidates
Test different degrees of serC attenuation to identify optimal balance between safety and protective immunity
Validation methodology:
Assess growth kinetics in vitro under various conditions to confirm attenuation
Conduct animal model studies to determine safety, persistence, and protective efficacy
Evaluate immune responses, including antibody production and T-cell activation
Heterologous antigen delivery platform:
Engineer serC-attenuated S. heidelberg strains to express heterologous antigens from other pathogens
Optimize antigen expression systems within the attenuated background
Evaluate the capacity of these strains to deliver multiple antigens simultaneously
This approach aligns with strategies used for developing other Salmonella-based vaccines, such as the CVD 908 typhoid vaccine strain which uses aromatic amino acid biosynthesis pathway mutations for attenuation . Similar principles could be applied to serC-based attenuation of S. heidelberg, potentially creating candidates for preventing both human salmonellosis and reducing S. heidelberg colonization in food animals.
Several cutting-edge technologies show promise for advancing our understanding of serC's role in Salmonella heidelberg pathogenesis:
CRISPR-Cas9 genome editing applications:
Precise manipulation of serC expression levels through promoter engineering
Creation of conditional knockdowns using CRISPRi approaches
Introduction of reporter tags to monitor serC expression during infection
Single-cell transcriptomics:
Analysis of serC expression heterogeneity within S. heidelberg populations during infection
Identification of subpopulations with distinct serC expression profiles and their correlation with survival or virulence
Mapping of transcriptional networks connecting serC with virulence factor expression
Advanced imaging technologies:
Fluorescent protein tagging of SerC for real-time visualization during infection processes
Super-resolution microscopy to track SerC localization within bacterial cells
Intravital microscopy to monitor serC-modified strains during in vivo infection
Metabolic flux analysis:
Application of stable isotope labeling to track serine biosynthesis pathways in vivo
Integration of metabolomic and transcriptomic data to build predictive models of serC's role in metabolic adaptation
Flux balance analysis to predict the systemic effects of serC modulation
Synthetic biology approaches:
Development of genetic circuits to control serC expression in response to specific environmental cues
Creation of biosensors based on serC activity to monitor metabolic states during infection
Engineering of orthogonal metabolic pathways to bypass or complement serC function
These technologies could help resolve key questions about how serC contributes to S. heidelberg's ability to cause zoonotic infections and address the concerning MDR profiles observed in recent outbreaks .
The study of Phosphoserine aminotransferase (serC) in Salmonella heidelberg offers several promising avenues for addressing the global antimicrobial resistance challenge:
Novel drug target exploitation:
SerC represents a metabolic target distinct from traditional antibiotic targets, potentially circumventing existing resistance mechanisms
The essential nature of serine biosynthesis makes serC an attractive candidate for selective inhibition strategies
Structure-guided drug design targeting serC could yield new classes of antimicrobials effective against MDR strains
Vaccine development strategies:
SerC-attenuated S. heidelberg strains could serve as vaccines for food animals, reducing the prevalence of resistant strains in the food chain
Immunization against S. heidelberg could decrease the incidence of human infections, reducing antibiotic use and selection pressure
The One Health approach suggested in the search results emphasizes the importance of controlling Salmonella in animal reservoirs to limit human exposure
Resistance mechanism insights:
Studying how serC expression is affected by the presence of resistance genes may reveal metabolic costs of resistance
Understanding metabolic adaptations in MDR strains could identify collateral sensitivities that can be therapeutically exploited
Metabolic profiling of resistant strains may reveal dependency on specific pathways that become targets for combination therapies
Diagnostic applications:
SerC-based diagnostics could enable rapid identification of MDR S. heidelberg strains, allowing for more targeted treatment approaches
Monitoring serC expression or activity could potentially serve as a biomarker for specific resistance profiles
The global spread of closely related MDR S. heidelberg strains and their tendency to cause severe infections requiring hospitalization underscores the importance of developing alternative control strategies. SerC research represents one promising approach within the comprehensive toolkit needed to address antimicrobial resistance in this pathogen.
Research on Salmonella heidelberg Phosphoserine aminotransferase (serC) has significant implications across both human and veterinary health domains:
One Health integration opportunities:
SerC research bridges the gap between animal and human Salmonella infections, supporting the One Health concept recognized in the search results
Understanding serC's role in S. heidelberg's ability to transfer between animal hosts and humans could help develop intervention strategies that protect both populations
Targeting metabolic pathways involving serC could reduce S. heidelberg prevalence in food animals, subsequently decreasing human exposure
Food safety enhancement:
Development of serC-based detection methods could improve monitoring of S. heidelberg contamination in food production
SerC-attenuated vaccine strains for food animals could reduce transmission through the food chain
Understanding metabolic dependencies of S. heidelberg could lead to novel food preservation strategies specifically targeting this pathogen
Antimicrobial stewardship advancement:
New therapeutic approaches targeting serC could provide alternatives to conventional antibiotics
Reduced reliance on medically important antimicrobials in veterinary settings could preserve their efficacy in human medicine
Targeted interventions based on serC biology could minimize disruption to beneficial microbiota compared to broad-spectrum antibiotics
Economic impact consideration:
Improved control of S. heidelberg infections could reduce economic losses in animal production
Decreased human illness could reduce healthcare costs and productivity losses
Development of novel serC-targeted therapeutics could stimulate innovation in the antimicrobial development pipeline
The global genomic relationships observed among S. heidelberg strains and their demonstrated zoonotic transmission potential emphasize the need for coordinated approaches to control this pathogen. SerC research represents a promising avenue that aligns with the integrated strategies necessary to address the complex challenges posed by multidrug-resistant Salmonella heidelberg.
Researchers should strategically position serC studies within the broader Salmonella heidelberg research landscape using the following priority framework:
Contextual placement within core metabolism:
Prioritize understanding serC's interactions with other metabolic pathways critical for S. heidelberg survival during infection
Investigate potential metabolic vulnerabilities created by serC dependency that could be exploited therapeutically
Map the regulatory networks controlling serC expression under different environmental conditions
Integration with virulence mechanisms:
Explore connections between serC-dependent metabolism and expression of virulence factors
Determine if serC activity influences the function of Salmonella Pathogenicity Islands (SPIs), which were identified in S. heidelberg isolates
Investigate whether metabolites produced through serC-dependent pathways serve as signaling molecules for virulence gene expression
Relationship to antimicrobial resistance:
Translational research pipeline:
Balance basic serC characterization with applied research aimed at intervention development
Prioritize serC modifications that show promise for vaccine development
Focus on structural studies that could directly inform inhibitor design