KEGG: spt:SPA0057
OadG1 (Probable oxaloacetate decarboxylase gamma chain 1) is a small protein consisting of 79 amino acids with the sequence MNEAVLLGEGFTLMFLGMGFVLSFLFLLIFAIRGMSAVITRFFPEPVAAPAPRAVPVVDDFTRLKPVIAAAIHHHRLNA . It is part of the oxaloacetate decarboxylase complex, which plays a crucial role in the anaerobic energy metabolism of Salmonella. The protein is significant in research as it represents a potential target for antimicrobial development and helps in understanding the metabolic adaptations of Salmonella Paratyphi A during host infection.
Salmonella Paratyphi A is characterized through both biotyping and serotyping methods. Biotyping involves biochemical tests that show specific patterns: Lactose negative, Catalase positive, Oxidase negative, Indole negative, Methyl Red positive, Vogus Proskaur negative, Citrate negative, Urease negative, Triple Sugar Iron showing K/A glucose acid with gas, Nitrate reductase positive, and Lysine negative .
Serotyping is performed according to the Kauffmann-White scheme, based on somatic O and phase 1/2 flagellar antigens using agglutination tests. Salmonella Paratyphi A is assigned the antigenic formula I 2,12:a:1, distinguishing it from Salmonella Typhi which has the formula I 9,12[Vi]:d:_ .
Research indicates that optimal growth conditions for Salmonella Paratyphi A include:
Temperature: 37°C
pH: Maintained at 7.0-7.2 using 2N-NH4OH
Media: Soyabean casein digest (SCD) media
Agitation: 125 rpm on rotary shaker
Supplementation: Addition of 5% glucose (from 40% sterile glucose solution)
Incubation time: 12-24 hours for complete growth
When scaling up cultures, a stepwise approach is recommended, starting with small volumes (2-50ml) before proceeding to larger cultures (up to 3000ml), as this ensures proper growth curves and higher protein yields .
For analyzing oadG1 variation across different strains, researchers should implement whole-genome sequencing followed by comparative genomic analysis. According to recent methodologies, researchers can:
Employ single nucleotide polymorphism (SNP) analysis to identify variants within the oadG1 gene
Utilize tools like "Paratype," a genotyping scheme that successfully segregates the global population structure of Salmonella Paratyphi A into three primary, seven secondary, and 18 distinct subclades/genotypes
Generate maximum-likelihood phylogenetic trees (using tools like RAxML) to visualize evolutionary relationships between different variants
Correlate specific oadG1 genetic variants with antimicrobial resistance profiles and geographical distribution patterns
This approach has proven valuable in identifying genomic variations between different sampling locations and specific antimicrobial resistance markers that may influence the function of metabolic proteins like oadG1.
The oadG1 protein (79 amino acids) functions as the gamma subunit of the oxaloacetate decarboxylase complex. While specific interaction data for Salmonella Paratyphi A's oadG1 is limited in the provided research materials, structural biology suggests that:
The protein likely anchors the complex to the membrane through its hydrophobic regions (GFVLSFLFLLIFAIR sequence)
It may form a transmembrane channel through which ions are translocated during the decarboxylation reaction
Interactions with alpha and beta subunits are mediated through specific binding domains
Post-translational modifications may regulate these interactions
Researchers studying these interactions should consider employing co-immunoprecipitation assays with tagged oadG1 protein, followed by mass spectrometry analysis to identify binding partners within the bacterial proteome.
Mutations in oadG1 can significantly impact both virulence and metabolism of Salmonella Paratyphi A. While direct studies on oadG1 mutations are not explicitly covered in the search results, genomic surveillance studies of Salmonella Paratyphi A have identified specific mutations in metabolic genes that correlate with virulence profiles.
Research approaches to study these implications should include:
CRISPR-Cas9 gene editing to create specific oadG1 mutations
Comparative growth analysis under varying pH and oxygen conditions
Mouse infection models to assess virulence changes
Metabolomic analysis to identify alterations in central carbon metabolism
Correlation of oadG1 variants with antimicrobial resistance patterns identified through genomic surveillance
For metabolism specifically, mutations could alter anaerobic energy production pathways, potentially affecting survival in the host intestinal environment.
The optimal expression system for recombinant oadG1 protein production is E. coli, as demonstrated in successful recombinant protein studies . When designing expression experiments:
Vector selection: Vectors containing N-terminal His-tag are recommended for purification purposes
Expression strain: BL21(DE3) or similar strains optimized for membrane protein expression
Induction conditions: IPTG induction at OD600 0.6-0.8
Growth temperature: Lowering to 18-25°C after induction may improve proper folding
Media composition: Consider using SCD media supplemented with glucose as demonstrated effective for Salmonella growth
For purification:
Employ immobilized metal affinity chromatography (IMAC) using the His-tag
Consider using mild detergents during lysis and purification to maintain protein structure
Include glycerol (6% Trehalose) in storage buffer to improve stability
When investigating oadG1's potential role in antimicrobial resistance, a multi-faceted experimental approach is recommended:
Genotype-phenotype correlation:
Gene knockout/complementation studies:
Generate oadG1 knockout mutants
Complement with wild-type or variant oadG1
Test antimicrobial susceptibility under various conditions
Expression analysis:
Measure oadG1 expression levels in response to antimicrobial exposure
Compare expression in resistant vs. susceptible strains
Structural biology:
Model potential interactions between oadG1 and antimicrobials
Identify binding sites or structural changes affecting drug efflux
Population genomics:
To evaluate oadG1's potential as a vaccine component, researchers should implement a comprehensive immunological assessment:
In silico epitope prediction:
Identify potential B-cell and T-cell epitopes using prediction algorithms
Assess epitope conservation across different Salmonella Paratyphi A genotypes
Antibody generation:
Immunize rabbits with purified recombinant oadG1 following protocols similar to those used for serotyping antisera development:
Immunological assays:
ELISA to measure antibody titers
Serum bactericidal assays to assess functional antibody responses
T-cell proliferation and cytokine production measurement
Challenge studies:
Mouse models immunized with oadG1 formulations
Assessment of protection against Salmonella Paratyphi A challenge
Cross-protection analysis:
When facing contradictory findings regarding oadG1 function, researchers should:
For comprehensive analysis of oadG1 sequence conservation and variation, researchers should employ:
Sequence alignment and phylogenetic analysis:
SNP identification and classification:
Identify SNPs within oadG1 using genomic analysis pipelines
Classify SNPs as synonymous or non-synonymous
Calculate dN/dS ratios to assess selective pressure
Structural impact prediction:
Model the effects of amino acid substitutions on protein structure
Predict functional impacts using tools like PROVEAN or SIFT
Population genetics metrics:
Calculate nucleotide diversity (π) within and between populations
Perform tests for selective sweeps or balancing selection
Compare with other genes to identify unusual evolutionary patterns
Integration with the Paratype framework:
Genomic surveillance tools like Paratype represent a significant advancement in Salmonella Paratyphi A research and will impact oadG1 studies in several ways:
Standardized classification system:
Evolutionary context:
Researchers can place oadG1 variants within the evolutionary history of Salmonella Paratyphi A
This reveals how selection pressures may have shaped protein function over time
Geographic and temporal tracking:
Monitor the spread of specific oadG1 variants globally
Track emerging variants that may impact virulence or drug resistance
Correlation with clinical outcomes:
Link specific genotypes to disease severity, treatment response, and antimicrobial resistance
Identify high-risk genotypes for targeted intervention
Vaccine development guidance:
Inform the selection of oadG1 variants for inclusion in vaccine formulations
Ensure coverage against globally prevalent genotypes
Integration with other genomic data:
Recombinant oadG1 protein has several potential applications beyond fundamental research:
Diagnostic development:
Creation of antibody-based detection systems for Salmonella Paratyphi A
Development of serological assays for paratyphoid fever diagnosis
Vaccine component:
Use as a subunit vaccine antigen alone or in combination with other proteins
Carrier protein for polysaccharide conjugate vaccines
Antibody production:
Generation of monoclonal antibodies for research and diagnostic applications
Production of therapeutic antibodies for passive immunization
Structural biology:
Crystallization studies to understand membrane protein structure
Model system for studying ion transport mechanisms
Drug target validation:
High-throughput screening platform for identifying inhibitors
Structure-based drug design targeting the oxaloacetate decarboxylase complex
Protein-protein interaction studies:
Bait protein for identifying binding partners in Salmonella
Understanding metabolic complex assembly mechanisms
For these applications, the high-purity recombinant protein (>90% as determined by SDS-PAGE) with proper storage in Tris/PBS-based buffer with 6% Trehalose at pH 8.0 provides an excellent starting material .