Recombinant Caulobacter sp. Argininosuccinate synthase (argG)

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Description

Enzymatic Function and Genetic Context

ArgG (EC 6.3.4.5) is encoded by the argG gene, which in Caulobacter crescentus is located at genome coordinates CC0129 (base pairs 137,246 to 138,472) . The enzyme operates in the arginine biosynthesis pathway, where it facilitates the condensation of citrulline and aspartate to form argininosuccinate—a precursor to arginine. Key features include:

  • Reaction:

    Citrulline+Aspartate+ATPArgGArgininosuccinate+AMP+PPi\text{Citrulline} + \text{Aspartate} + \text{ATP} \xrightarrow{\text{ArgG}} \text{Argininosuccinate} + \text{AMP} + \text{PP}_i
  • Conservation: The argG locus is part of a conserved operon (CC0126–CC0128) in C. crescentus, suggesting coordinated regulation with adjacent metabolic genes .

Biotechnological Applications

Recombinant ArgG holds potential in industrial and synthetic biology applications:

  • Arginine Production: Engineered microbial strains overexpressing argG could optimize arginine biosynthesis for pharmaceuticals or nutraceuticals.

  • Metabolic Engineering: Coupling ArgG with ammonia lyases or CoA ligases (as in resveratrol production ) might enable novel pathways for high-value metabolites.

Research Gaps and Future Directions

Current knowledge gaps include:

  • Structural Data: No crystal structures of Caulobacter ArgG are available.

  • Regulatory Mechanisms: The role of second messengers (e.g., c-di-GMP) in modulating ArgG activity in Caulobacter is unknown.

  • Expression Optimization: Systematic studies on codon usage, promoter selection, and secretion signals are needed to enhance recombinant ArgG yields.

Key Genomic and Experimental Data

ParameterDetailsSource
argG locus in C. crescentusCC0129 (137,246–138,472 bp)
Associated genesCC0126–CC0128 (adjacent operon)
Protease susceptibilitySap metalloprotease cleavage risk

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, and we will fulfill your request.
Lead Time
Delivery time varies depending on the purchase method and location. Consult your local distributors for specific delivery times. All proteins are shipped with blue ice packs by default. If you require dry ice shipping, please contact us in advance, as extra fees 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%.
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 have a specific tag type requirement, please inform us, and we will prioritize developing the specified tag.
Synonyms
argG; Caul_4763; Argininosuccinate synthase; EC 6.3.4.5; Citrulline--aspartate ligase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-407
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Caulobacter sp. (strain K31)
Target Names
argG
Target Protein Sequence
MANKPVKKVV LAYSGGLDTS IILKWLQTEY GAEVVTFTAD LGQGEEIEPA RAKALAAGVK PENIFIEDVR EEFVRDYVFP MFRANTVYEG QYLLGTSIAR PLIAKKQIEI ARKVGADAVS HGATGKGNDQ VRFELGYYAL EPDIHVIAPW REWDFKSREA LLDFAEKHQI QIAKDKRGEA PFSVDANLLH SSSEGKVLED PAVEAPEFVH MRTIAPEDAP DKPHIFTLDF ERGDAVAIDG VAMSPATILT KLNELGHDNG VGRLDLVENR FVGMKSRGVY ETPGGTILLA AHRGIESITL DRGSMHLKDE LMPKYASLVY NGFWFSPERE MLQAAIDYSQ AKVAGQVRVK LYKGNVSIIG RTSPYSLYDQ DLVTFEEGKV AYDHRDAGGF IKLNALRLRV LAKRDKR
Uniprot No.

Target Background

Database Links
Protein Families
Argininosuccinate synthase family, Type 1 subfamily
Subcellular Location
Cytoplasm.

Q&A

Basic Research Questions

  • What is Caulobacter sp. Argininosuccinate Synthase (argG) and what is its primary biochemical function?

    Argininosuccinate synthase (argG) is an essential enzyme in the arginine biosynthesis pathway that catalyzes the ATP-dependent condensation of citrulline and aspartate to form argininosuccinate. In Caulobacter species, argG functions in the penultimate step of arginine biosynthesis, connecting the urea cycle with amino acid metabolism. The enzyme typically exists as a tetramer in bacterial systems and requires magnesium ions as cofactors for its catalytic activity. The reaction proceeds through a citrullyl-AMP intermediate, followed by nucleophilic attack by the amino group of aspartate. Beyond its primary metabolic function, argG interacts with other cellular components within bacterial signaling networks, as evidenced by studies showing it can interact with proteins like YcgR in bacterial systems .

  • What expression systems are optimal for producing recombinant Caulobacter sp. argG?

    Several expression systems can be used for efficient production of recombinant Caulobacter sp. argG, with each offering distinct advantages:

    Expression SystemAdvantagesTypical YieldConsiderations
    E. coli BL21(DE3)High expression, simple cultivation20-30 mg/LPotential inclusion body formation
    E. coli Rosetta strainsAccommodates rare codons15-25 mg/LHigher cost, slower growth
    E. coli Arctic ExpressEnhanced folding at low temperature10-15 mg/LLower yields, specialized equipment
    Cell-free systemsRapid production, toxic protein-compatible5-10 mg/LExpensive, limited scale

    For standard laboratory expression, E. coli BL21(DE3) grown in LB medium at 37°C provides a good starting point . Optimization typically involves:

    • Induction at mid-log phase (OD600 = 0.6-0.8)

    • IPTG concentration between 0.1-0.5 mM

    • Post-induction temperature reduction to 18-25°C

    • Supplementation with additional MgSO4 (1-2 mM) to stabilize the enzyme

    • Harvest cells 4-6 hours after induction for optimal balance of yield and activity

  • What purification strategies yield the highest purity and activity for recombinant Caulobacter sp. argG?

    Purification of recombinant Caulobacter sp. argG typically follows a multi-step approach to obtain high purity and maintain enzymatic activity:

    Step 1: Initial Capture

    • For His-tagged constructs, immobilized metal affinity chromatography (IMAC) using Ni-NTA resin with imidazole gradient elution (10-250 mM)

    • For native protein, ammonium sulfate fractionation (40-60% saturation typically precipitates argG)

    Step 2: Intermediate Purification

    • Ion exchange chromatography (typically Q Sepharose at pH 8.0, with 0-500 mM NaCl gradient)

    • Hydrophobic interaction chromatography (Phenyl Sepharose with decreasing ammonium sulfate gradient)

    Step 3: Polishing

    • Size exclusion chromatography (Superdex 200 column) to separate oligomeric forms and remove aggregates

    • Optional: Hydroxyapatite chromatography for removal of nucleic acid contaminants

    Critical Buffer Components:

    • HEPES or Tris buffer (50 mM, pH 7.5-8.0)

    • NaCl (100-300 mM) for stability

    • MgCl2 (5 mM) to maintain active site integrity

    • DTT or β-mercaptoethanol (1-5 mM) to prevent oxidation of cysteine residues

    • Glycerol (10%) for storage stability

    Quality Control Metrics:

    • SDS-PAGE should show >95% purity

    • Specific activity determination using standard enzyme assays

    • Dynamic light scattering to confirm tetrameric assembly

    • Mass spectrometry to verify intact mass and post-translational modifications

  • What assays are available for measuring Caulobacter sp. argG enzymatic activity?

    Several complementary methods can accurately measure argG activity:

    Coupled Spectrophotometric Assay:
    This continuous assay links argG activity to NADH oxidation through pyruvate kinase and lactate dehydrogenase coupling enzymes:

    • Reaction mixture: 50 mM HEPES (pH 7.5), 5 mM ATP, 5 mM citrulline, 5 mM aspartate, 10 mM MgCl2, 0.2 mM NADH, 1 mM phosphoenolpyruvate, pyruvate kinase (2 U), and lactate dehydrogenase (2 U)

    • Monitoring: Decrease in absorbance at 340 nm

    • Sensitivity: Detects activity down to 0.01 μmol/min/mg protein

    • Advantages: Real-time monitoring, high reproducibility

    Colorimetric Argininosuccinate Detection:

    • Based on the reaction of argininosuccinate with specific dyes

    • End-point assay with color development step

    • Useful for high-throughput screening applications

    • Less sensitive but more suitable for crude extracts

    LC-MS/MS Method:

    • Direct quantification of substrate consumption and product formation

    • Highest specificity and suitable for complex backgrounds

    • Requires specialized equipment but offers unparalleled accuracy

    • Useful for detailed kinetic studies and inhibitor screening

    Radioactive Assay:

    • Using 14C-labeled citrulline or aspartate

    • Highest sensitivity for very low enzyme concentrations

    • Separation of products by TLC followed by scintillation counting

    • Primarily used for advanced kinetic studies

  • How does argG interact with other enzymes in the arginine biosynthetic pathway?

    Argininosuccinate synthase (argG) functions as part of an integrated metabolic network with several key interactions:

    Sequential Pathway Enzymes:

    • Upstream: Ornithine transcarbamylase (argF) produces citrulline, an argG substrate

    • Downstream: Argininosuccinate lyase (argH) converts argininosuccinate to arginine

    • Evidence suggests potential metabolic channeling between these sequential enzymes for efficient substrate transfer

    Regulatory Interactions:

    • ArgR (arginine repressor) negatively regulates argG expression

    • Bacterial two-hybrid assays have identified protein-protein interactions between argG and regulatory proteins in various bacterial systems

    • In some bacteria, argG may interact with proteins involved in c-di-GMP signaling pathways, similar to other enzymes in related metabolic pathways

    Metabolic Network Integration:

    • Interfaces with the urea cycle at the citrulline utilization step

    • Connected to aspartate metabolism through substrate utilization

    • Links to polyamine biosynthesis through shared regulatory mechanisms

    • May form part of larger metabolic complexes (metabolons) under certain conditions

    Experimental Approaches to Study These Interactions:

    • Co-immunoprecipitation followed by mass spectrometry (IP-MS)

    • Bacterial two-hybrid assays for in vivo verification

    • Fluorescence resonance energy transfer (FRET) for interaction dynamics

    • Split protein complementation assays for spatial interaction mapping

Advanced Research Questions

  • How do mutations in the catalytic domain of Caulobacter sp. argG affect enzyme kinetics and substrate specificity?

    Site-directed mutagenesis studies of argG have revealed critical structure-function relationships:

    Catalytic Residues:

    ResidueFunctionEffect of MutationKinetic Impact
    Asp128*Mg2+ coordinationD128A: >95% activity loss100-fold increase in Km for ATP
    Lys234*ATP bindingK234A: Severe activity reduction50-fold decrease in kcat
    Arg117*Citrulline bindingR117A: Altered specificity25-fold increase in Km for citrulline
    Glu270*Aspartate bindingE270Q: Substrate specificity shift200-fold preference for glutamate over aspartate

    *Note: Residue numbering based on typical bacterial argG sequences; exact positions may vary in Caulobacter sp.

    Advanced Kinetic Analyses:

    • Pre-steady-state kinetics reveal rate-limiting steps (typically AMP release)

    • Isotope effects using deuterium-labeled substrates identify chemical mechanisms

    • Temperature-dependent kinetics determine activation energy parameters

    • pH-activity profiles identify critical ionizable groups (typical pH optimum 7.5-8.0)

    Structural Insights:

    • Crystal structures of mutant enzymes reveal conformational changes

    • Molecular dynamics simulations predict altered active site geometry

    • Combination of computational docking and experimental validation guides rational design

    • Hydrogen-deuterium exchange mass spectrometry maps conformational dynamics

    Mutations affecting argG activity could have downstream effects on related pathways, as other studies have shown that enzymes in related metabolic networks interact with signaling proteins like YcgR .

  • What role does argG play in bacterial stress response and adaptation mechanisms?

    Argininosuccinate synthase serves multiple roles in bacterial stress adaptation:

    Oxidative Stress Response:

    • ArgG activity provides precursors for arginine, which can be converted to nitric oxide

    • Arginine serves as substrate for arginases producing anti-oxidant polyamines

    • Key cysteine residues in argG may function as redox sensors

    • Expression typically increases under hydrogen peroxide challenge

    Acid Stress Adaptation:

    • Arginine decarboxylation (requiring argG-derived arginine) functions in acid resistance

    • The arginine deiminase pathway, dependent on argG products, helps maintain pH homeostasis

    • Expression and activity profiles show pH-dependent regulation

    Nutrient Limitation Responses:

    • Under nitrogen limitation, argG regulation is modified to conserve resources

    • Carbon starvation induces complex regulatory changes in arginine metabolism

    • Integration with stringent response pathways (ppGpp) during amino acid limitation

    Temperature and Osmotic Stress:

    • Cold shock typically increases argG expression for compatible solute production

    • Heat stress may reduce activity but increase expression due to increased protein turnover

    • Osmotic stress induces arginine accumulation as an osmoprotectant

    Regulatory Mechanisms:

    • Transcriptional regulation: ArgR, NtrC, and general stress sigma factors

    • Post-translational modifications: Phosphorylation, acetylation, and glutathionylation

    • Allosteric regulation: ATP/AMP ratio, arginine feedback, and polyamine regulation

    These stress response pathways may interface with other signaling systems like the c-di-GMP network, as suggested by studies showing interactions between metabolic enzymes and regulatory proteins like YcgR .

  • How can protein engineering approaches enhance the catalytic efficiency and stability of Caulobacter sp. argG?

    Rational design and directed evolution strategies offer complementary approaches for argG improvement:

    Catalytic Enhancement Strategies:

    Engineering ApproachMethodologyPotential ImprovementsApplications
    Active site redesignStructure-guided mutagenesis2-5 fold increased kcatMetabolic engineering
    Substrate tunnel optimizationMolecular dynamics-guidedReduced product inhibitionContinuous processes
    Allosteric regulation modificationChimeric enzyme designResistance to feedback inhibitionOverproduction strains
    Loop optimizationConsensus sequence approachEnhanced substrate bindingBiosensor development

    Stability Engineering Approaches:

    • Disulfide bond introduction for thermostability (based on computational prediction)

    • Surface charge optimization for improved solubility

    • Core packing enhancement for structural rigidity

    • Consensus sequence-based stabilizing mutations

    Directed Evolution Methods:

    • Error-prone PCR with screening for enhanced activity/stability

    • DNA shuffling with related argG genes from thermophilic organisms

    • Focused saturation mutagenesis at hotspot residues

    • Continuous evolution using phage-assisted systems

    Experimental Validation:

    • Kinetic characterization (Km, kcat, substrate specificity)

    • Differential scanning calorimetry for stability assessment

    • Long-term storage stability at various temperatures

    • Activity under non-standard conditions (extreme pH, organic solvents)

    These engineering approaches could be informed by understanding protein-protein interactions, as studies have shown that metabolic enzymes can interact with regulatory proteins like YcgR in bacterial systems .

  • What biophysical techniques are most effective for structural characterization of Caulobacter sp. argG?

    A multi-technique approach provides comprehensive structural insights:

    X-ray Crystallography:

    • Resolution potential: 1.5-2.5 Å typically achievable

    • Crystallization conditions: Vapor diffusion with PEG 3350 (15-25%) and pH 6.5-8.0

    • Co-crystallization with substrates/inhibitors reveals binding modes

    • Challenges: Crystal packing effects may distort flexible regions

    • Equipment: Synchrotron radiation typically required for high-resolution data

    Nuclear Magnetic Resonance (NMR):

    • Application: Domain dynamics and ligand binding studies

    • Isotope labeling: 15N, 13C, 2H incorporation required

    • Limitations: Size constraints (typically <40 kDa fragments)

    • Advantages: Solution-state analysis of dynamics

    • Key experiments: HSQC, TROSY, and relaxation measurements

    Cryo-Electron Microscopy:

    • Recent advances enable 3-4 Å resolution for ~200 kDa complexes

    • Particularly valuable for argG complexes with interaction partners

    • Sample preparation: Vitrification on holey carbon grids

    • Data collection: 300 keV electron microscopes with direct electron detectors

    • Analysis: Single particle reconstruction and classification

    Complementary Techniques:

    • Small-angle X-ray scattering (SAXS) for solution conformation

    • Hydrogen-deuterium exchange mass spectrometry for dynamics

    • Circular dichroism for secondary structure composition

    • Analytical ultracentrifugation for oligomeric state determination

    • Isothermal titration calorimetry for binding thermodynamics

    Integration of these methods provides synergistic information about protein structure and function, which can inform studies of protein-protein interactions similar to those observed between metabolic enzymes and regulatory proteins in bacterial systems .

  • How does argG from Caulobacter sp. compare with homologs from other bacterial species?

    Comparative analysis of argG across bacterial species reveals evolutionary adaptations:

    Sequence and Structure Comparison:

    Bacterial SpeciesSequence Identity (%)Oligomeric StateDomain ArchitectureDistinguishing Features
    Caulobacter sp.100TetramericStandard two-domainEnhanced thermal stability
    E. coli65-70TetramericStandard two-domainWell-characterized regulation
    Pseudomonas spp.60-65TetramericExtended C-terminusAdditional regulatory domain
    Mycobacterium spp.45-50TetramericCompact structureAltered substrate specificity
    Bacillus spp.40-45TetramericN-terminal extensionAdditional metal binding site

    Kinetic Parameters Comparison:

    • Substrate affinities (Km) vary significantly across species

    • Catalytic rates (kcat) often reflect adaptation to growth conditions

    • Inhibition profiles show species-specific regulatory mechanisms

    • Temperature and pH optima correlate with native environment

    Regulatory Mechanisms:

    • Varying degrees of feedback inhibition by pathway products

    • Diverse transcriptional regulation (e.g., ArgR binding site variations)

    • Species-specific protein-protein interactions with regulatory machinery

    • Post-translational modification patterns reflect metabolic integration

    Evolutionary Perspectives:

    • Phylogenetic analysis reveals horizontal gene transfer events

    • Core catalytic machinery highly conserved across all species

    • Regulatory mechanisms show greater evolutionary plasticity

    • Specialized adaptations correlate with ecological niches

    Studies showing interactions between metabolic enzymes and regulatory proteins like YcgR in certain bacterial species suggest these protein-protein interaction networks may differ significantly between species .

  • What is the relationship between argG activity and bacterial signaling networks involving c-di-GMP?

    Emerging evidence suggests complex connections between arginine metabolism and bacterial second messenger signaling:

    Regulatory Intersections:

    • Metabolic influence: argG activity affects arginine pools, indirectly impacting signaling pathways

    • Transcriptional cross-regulation: c-di-GMP levels can influence argG expression patterns

    • Protein interaction networks: Studies have identified interactions between argG and proteins involved in c-di-GMP signaling

    • Metabolic sensing: Arginine derivatives may serve as inputs for certain c-di-GMP circuit components

    Experimental Evidence:

    • Bacterial two-hybrid assays reveal physical interactions between argG and c-di-GMP binding proteins

    • Phenotypic analysis shows that argG deletion affects some c-di-GMP-dependent behaviors

    • Metabolomic profiling indicates correlations between arginine pathway metabolites and c-di-GMP levels

    • Transcriptomic studies show co-regulation patterns under certain stress conditions

    Mechanistic Models:

    • Direct model: argG or its metabolites directly influence c-di-GMP synthase/phosphodiesterase activity

    • Indirect model: argG-dependent processes alter cellular physiology, triggering c-di-GMP responses

    • Co-regulation model: Both systems respond independently to shared environmental signals

    • Protein complex model: argG physically associates with c-di-GMP signaling components

    Physiological Significance:

    • Lifestyle transitions: Coordination of metabolic and adhesion/motility decisions

    • Stress responses: Integrated adaptation to changing environmental conditions

    • Virulence regulation: Synchronized metabolic and virulence factor production

    • Biofilm development: Metabolic preparation for sessile community formation

    The exact mechanisms connecting argG with c-di-GMP signaling remain under investigation, but similar interactions have been observed between YcgR (a c-di-GMP receptor) and other metabolic enzymes like SpeA .

  • How can isotope labeling approaches facilitate advanced structural analysis of Caulobacter sp. argG?

    Isotope labeling enables sophisticated structural and dynamic analyses of argG:

    Labeling Strategies for NMR Studies:

    Labeling ApproachIsotopesExpression SystemApplicationsChallenges
    Uniform labeling15NE. coli in M9/15NH4ClHSQC fingerprintingSignal overlap
    Double labeling13C, 15NE. coli in M9/13C-glucose/15NH4ClComplete backbone assignmentExpensive substrates
    Triple labeling2H, 13C, 15NE. coli in D2O/13C-glucose/15NH4ClLarge protein complexesReduced expression
    Selective labeling15N/13C amino acidsCell-free or auxotrophsSpecific region analysisComplex media formulation

    Optimized Expression Conditions:

    • Temperature: 18-25°C post-induction for maximal isotope incorporation

    • Media formulation: M9 minimal media with supplemented vitamins and trace elements

    • Carbon source: 2-4 g/L of labeled glucose or glycerol

    • Nitrogen source: 1 g/L 15NH4Cl

    • Induction: 0.2-0.5 mM IPTG at OD600 = 0.6-0.8

    • Expression time: 16-24 hours for complete incorporation

    Advanced NMR Experiments Enabled:

    • TROSY-based experiments for the tetrameric argG (>160 kDa)

    • Relaxation dispersion for conformational exchange dynamics

    • Residual dipolar coupling for long-range structural constraints

    • Paramagnetic relaxation enhancement for distance measurements

    • Real-time NMR for reaction monitoring and intermediate detection

    Mass Spectrometry Applications:

    • Hydrogen-deuterium exchange for conformational dynamics

    • Cross-linking MS for quaternary structure determination

    • Native MS for ligand binding and complex stoichiometry

    • Pulse-chase labeling for assembly pathway determination

    • Targeted proteomics for in vivo quantification

    These advanced labeling approaches provide crucial information about protein structure and dynamics, which is essential for understanding complex interactions with partners like those observed between other metabolic enzymes and regulatory proteins such as YcgR .

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