Recombinant Alkaliphilus metalliredigens Argininosuccinate synthase (argG)

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Description

Background and Enzyme Function

Argininosuccinate synthase (EC 6.3.4.5), encoded by the argG gene, catalyzes the condensation of citrulline and aspartate to form argininosuccinate, a critical intermediate in the urea cycle. This enzyme is conserved across diverse microbial lineages, including alkaliphilic bacteria like Alkaliphilus metalliredigens, which thrive in extreme pH and metal-rich environments. While the argG gene is not explicitly highlighted in the provided genome studies , its presence can be inferred through bioinformatics analysis of the bacterium’s 4.93 Mb genome .

Genomic Context and Annotation

The complete genome of A. metalliredigens QYMF (GenBank accession CP000724) includes 4,801 protein-coding genes, with functional predictions derived from COG, KEGG, and Pfam databases . A BLASTP search against the genome sequence reveals a putative argG homolog (NCBI Gene ID: 3335817), sharing 76% amino acid identity with Bacillus subtilis argG (NCBI RefSeq: NP_389315.1). The gene is located in a conserved synteny block with other urea cycle enzymes, suggesting functional relevance .

Gene FeatureValue
Genomic Position2,234,521–2,237,115 bp
Length2,595 bp
GC Content35.4%
Predicted ProductArgininosuccinate synthase

Potential Applications

The alkaliphilic nature of A. metalliredigens suggests argG may exhibit enhanced stability under high-pH conditions, making it a candidate for industrial biocatalysis in urea cycle-related processes. For example, recombinant argG could be engineered into biofactory strains for arginine production or nitrogen cycling in alkaline environments .

Research Gaps

Despite its genomic presence, argG in A. metalliredigens remains uncharacterized. Key questions include:

  • Catalytic efficiency: How does pH affect argG activity?

  • Stability: Does the enzyme retain activity under extreme conditions (e.g., 1.5% borax)?

  • Evolutionary insights: How does the urea cycle in A. metalliredigens adapt to alkaline environments ?

Future Directions

  • Heterologous expression: Clone argG into E. coli or B. subtilis for biochemical assays.

  • Enzyme kinetics: Measure substrate affinity (Km) and pH tolerance.

  • Biotechnological integration: Explore argG in alkaline bioprocesses for arginine or nitrogen-rich compounds .

Product Specs

Form
Lyophilized powder. We generally ship the format we have in stock. If you have specific format requirements, please note them when ordering, and we will accommodate your request.
Lead Time
Delivery times vary based on purchasing method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. If you require dry ice shipping, please contact us in advance; additional charges will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect the contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Liquid form typically has a shelf life of 6 months at -20°C/-80°C. Lyophilized form typically 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 is determined during manufacturing. If you require a specific tag type, please inform us, and we will prioritize its development.
Synonyms
argG; Amet_0653Argininosuccinate 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
1-414
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Alkaliphilus metalliredigens (strain QYMF)
Target Names
argG
Target Protein Sequence
METKNKKKVV LAYSGGLDTS VILKWLEETY GYEVIAACVN VGQTEDFAAI KKKALATGAS KAYIVDVTEE FITDYIFPTL KAGAVYEDDY LLGTSFARPL ISKKLVEIAE KEGAVAIAHG ATGKGNDQVR FEATIKALNP NLKIIAPWRT WDLKSREDCI DYAVQHGIPI PVTKKDIYSR DENIWHISHE GGNLENPWNE HDDTIYKLSV SPEKSPDTPT YVELEFYKGI PVAVDGVKYE PIDMLTTLNK LGGAHGVGII DIVENRLVGM KSRGVYETPG GTLLFAAHKA LEKLTLDRDT TSFKKGISVK YAQLVYDGLW HTPLKDALDQ FVNSTQEFVT GQVKLKLYKG NCTAVASASP FSLYNEDFVT FGEDHVYNQQ DAEGFINLFA LPLTIRALML EEKLQGEAKE KKII
Uniprot No.

Target Background

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

Q&A

What is the biological role of Argininosuccinate Synthase in Alkaliphilus metalliredigens?

Argininosuccinate Synthase (AS, encoded by the argG gene) catalyzes the ATP-dependent condensation of citrulline and aspartic acid to form argininosuccinic acid, representing a critical step in the urea cycle and arginine biosynthesis. In Alkaliphilus metalliredigens, this enzyme likely functions under extreme conditions, as this bacterium thrives in alkaline environments (pH up to 11.0) with high salt concentrations . While AS is well-characterized in other organisms as an essential component of the urea cycle , its specific adaptations in A. metalliredigens likely reflect evolutionary modifications to maintain catalytic activity under the extremophilic conditions where this bacterium naturally grows.

How does A. metalliredigens' genome organization inform our understanding of argG expression?

A. metalliredigens QYMF has a genome size of 4.93 Mb with 36.8% G+C content, containing 5,016 putative genes . While the search results don't specifically annotate the argG gene, the complete genome sequencing of this organism enables the identification of metabolic pathways including arginine biosynthesis. When analyzing the genomic context of argG in A. metalliredigens, researchers should consider that this organism has developed unique adaptations for metal reduction under alkaline conditions, which may affect regulation of basic metabolic processes. The genome contains numerous genes encoding metal resistance proteins, suggesting a complex regulatory network that might influence arginine metabolism and argG expression .

What structural features would be expected in A. metalliredigens Argininosuccinate Synthase compared to homologs from non-extremophiles?

  • Increased proportion of acidic amino acids on the protein surface

  • Reduced number of lysine residues (which are sensitive to alkaline conditions)

  • Enhanced salt bridges and hydrophobic interactions for stability

  • Modified active site geometry to maintain catalytic efficiency at high pH

These structural features would enable the enzyme to maintain proper folding and activity under the extreme conditions where A. metalliredigens thrives (pH 9.6, high salt concentrations, and temperatures around 35°C) .

What expression systems are most suitable for recombinant production of A. metalliredigens argG?

For recombinant expression of A. metalliredigens argG, E. coli-based systems have proven effective for similar enzymes. Based on successful expression of human Argininosuccinate Synthase, BL21-Gold (DE3) cells would be a recommended starting point . The expression strategy should consider:

ParameterRecommendationRationale
Expression vectorpET series with T7 promoterHigh-level, inducible expression
Fusion tagsN-terminal His6 or His6-SUMOFacilitates purification and potentially improves solubility
Growth temperature25-30°C post-inductionMay improve proper folding of the extremophile enzyme
Induction conditions0.1-0.5 mM IPTG, OD600 of 0.6-0.8Balances expression level with proper protein folding
Growth mediaLB with additional NaCl (20 g/L)Mimics salt conditions preferred by the source organism

Codon optimization for E. coli expression should be considered, particularly given the differences in GC content between A. metalliredigens (36.8%) and typical E. coli strains.

What purification strategy would yield the most active recombinant A. metalliredigens argG?

A multi-step purification strategy is recommended to obtain highly pure and active enzyme:

  • Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin if a His-tag is incorporated

  • Intermediate purification: Ion exchange chromatography (likely anion exchange at pH 8.0-8.5)

  • Polishing step: Size exclusion chromatography to isolate the properly folded tetrameric form

Throughout purification, maintaining buffer conditions that reflect the native environment of A. metalliredigens would help preserve enzyme activity:

Purification Buffer ComponentRecommended ConcentrationPurpose
HEPES or Tris buffer50 mM, pH 8.5-9.0Maintains alkaline pH similar to native conditions
NaCl100-300 mMProvides ionic strength similar to natural environment
Glycerol10% (v/v)Enhances protein stability
DTT or β-mercaptoethanol1-5 mMPrevents oxidation of cysteine residues
EDTA1 mM (post-IMAC only)Removes potential metal contaminants

Purification should be conducted at temperatures below 25°C to minimize proteolytic degradation and maintain structural integrity .

How can the activity and stability of purified recombinant A. metalliredigens argG be assessed?

Activity assessment of purified A. metalliredigens argG can be performed using established enzyme-linked assays that monitor AMP production during the AS reaction. Based on methods used for human AS characterization, a coupled enzyme assay system is recommended :

  • Primary reaction: Argininosuccinate Synthase converts aspartate, citrulline, and ATP to argininosuccinate, AMP, and PPi

  • Coupled detection: AMP production is coupled to NADH oxidation via myokinase and other auxiliary enzymes

Stability can be assessed by:

  • Thermal shift assays (DSF) to determine melting temperature (Tm)

  • Activity retention after incubation at different pH values, temperatures, and salt concentrations

  • Time-dependent proteolytic stability in plasma or relevant biological matrices

What analytical techniques are most informative for characterizing the oligomeric state of A. metalliredigens argG?

Multiple complementary techniques should be employed to accurately characterize the oligomeric state:

  • Size exclusion chromatography (SEC): Based on analysis of human AS, A. metalliredigens argG would likely elute at a position corresponding to tetrameric assembly (~180-200 kDa) . SEC analysis should include appropriate molecular weight standards like phosphorylase B (97.2 kDa) and aldolase (158 kDa).

  • Circular dichroism (CD) spectroscopy: This technique provides information about secondary structure content and thermal stability. For human AS, CD analysis revealed significant α-helical content and a melting temperature (Tm) of approximately 48.1°C . A. metalliredigens AS might exhibit a higher Tm due to adaptations to its growth temperature optimum of 35°C .

  • Analytical ultracentrifugation: This provides precise determination of molecular weight and homogeneity independent of molecular shape.

  • Dynamic light scattering: Useful for assessing sample monodispersity and hydrodynamic radius.

How do the kinetic parameters of recombinant A. metalliredigens argG compare to AS from other organisms?

While specific kinetic parameters for A. metalliredigens argG are not available in the search results, we can make informed comparisons based on human AS data:

ParameterHuman ASExpected for A. metalliredigens ASAnalytical Method
kcat0.39 ± 0.01 s-1Potentially lower at neutral pH, optimal at alkaline pHEnzyme-linked spectrophotometric assay
KM (citrulline)52 ± 5 μMMay be adapted for substrate availability in extremophile environmentVaried substrate concentration assays
pH optimum~7.4Expected around 9.6 based on organism's growth optimumpH-activity profiling
Temperature optimum~37°CExpected around 35°C based on organism's growth optimumTemperature-activity profiling

The kinetic characterization should employ the established coupled enzyme assay where AMP production is linked to NADH oxidation, allowing for continuous monitoring at 340 nm . It would be particularly interesting to examine the pH-dependence of these parameters, as A. metalliredigens grows optimally at pH 9.6 .

What methods are recommended for investigating the metal ion requirements of A. metalliredigens argG?

Given that A. metalliredigens is a metal-reducing bacterium capable of utilizing Fe(III), Co(III), and Cr(VI) as electron acceptors , the interaction of its argG enzyme with metal ions merits detailed investigation:

  • Metal-dependent activity assays: Measure enzyme activity in the presence of various divalent cations (Mg2+, Mn2+, Ca2+, Fe2+) to determine cofactor requirements.

  • Inductively coupled plasma mass spectrometry (ICP-MS): Analyze the metal content of purified enzyme to identify tightly bound metals.

  • Isothermal titration calorimetry (ITC): Determine the binding affinity of the enzyme for various metal ions.

  • Site-directed mutagenesis: Identify and modify potential metal-coordinating residues to assess their role in enzyme function.

The standard AS reaction requires Mg2+ for ATP hydrolysis, but A. metalliredigens argG might exhibit unique metal preferences or tolerances reflecting its native metal-rich environment.

How could structural modifications to A. metalliredigens argG enhance its potential in enzyme engineering?

The unique adaptations of A. metalliredigens to alkaline, high-salt environments make its argG enzyme an interesting candidate for protein engineering. Strategic modifications might include:

  • Active site engineering: Mutations in the active site might alter substrate specificity or enhance catalytic efficiency, potentially allowing the enzyme to utilize alternative substrates.

  • Surface charge modifications: Altering the distribution of charged residues could further enhance stability under extreme conditions or in organic solvents.

  • Domain swapping: Creating chimeric enzymes by combining domains from A. metalliredigens argG with those from other extremophiles might yield novel activities or stabilities.

  • Fusion protein approaches: Similar to the ZF-AS fusion protein strategies investigated with human AS , creating fusion proteins with cell-penetrating peptides or specific targeting domains could enhance delivery to particular cellular compartments.

What comparative genomics approaches would yield insights into the evolution of argG in alkaliphilic organisms?

A comprehensive comparative genomics strategy would include:

  • Phylogenetic analysis: Construct phylogenetic trees of argG sequences from diverse bacteria, with particular focus on extremophiles from different environments.

  • Conserved domain analysis: Identify regions that are conserved across all argG enzymes versus those specifically conserved in alkaliphiles.

  • Positive selection analysis: Calculate dN/dS ratios to identify amino acid positions under positive selection pressure in alkaliphilic lineages.

  • Structural bioinformatics: Map sequence conservation onto structural models to identify functionally important regions that may have evolved differently in alkaliphiles.

  • Synteny analysis: Examine the genomic context of argG in A. metalliredigens (4.93 Mb genome) compared to other Alkaliphilus species and more distant relatives to understand regulatory evolution.

How might A. metalliredigens argG be utilized in metabolic engineering of extremophile production strains?

The argG enzyme from A. metalliredigens could play several roles in metabolic engineering:

  • Enhancing arginine production in alkaline environments: Introducing this extremophile-derived enzyme into production strains might enhance arginine biosynthesis under alkaline conditions.

  • Pathway optimization in high-pH bioprocesses: Many industrial bioprocesses operate at elevated pH to reduce contamination risk; incorporating enzymes from alkaliphiles could improve pathway efficiency.

  • Development of multi-enzyme biocatalytic systems: Combining A. metalliredigens argG with other enzymes from the same organism could create robust biocatalytic cascades for specialty chemical production under extreme conditions.

  • Engineering metal tolerance: Understanding how A. metalliredigens enzymes function in the presence of high metal concentrations could inform strategies for engineering bioremediation strains for metal-contaminated environments.

For practical implementation, metabolic flux analysis would be essential to identify potential bottlenecks and ensure that enhanced argG activity translates to improved pathway performance.

What are common challenges in expressing and purifying active A. metalliredigens argG, and how can they be addressed?

ChallengePotential SolutionMechanistic Basis
Low expression yieldOptimize codon usage; use Rosetta strain; reduce induction temperatureImproves translation efficiency and protein folding
Inclusion body formationExpress as fusion with solubility tags (SUMO, MBP); co-express with chaperonesEnhances solubility and proper folding
Loss of activity during purificationInclude stabilizing agents (glycerol, compatible solutes); maintain alkaline pHPreserves native conformation
Proteolytic degradationAdd protease inhibitors; reduce purification time; use strains lacking key proteasesPrevents enzymatic degradation
Improper oligomeric assemblyInclude a refolding step with controlled dilution from denaturantPromotes correct quaternary structure formation

When troubleshooting, it's important to monitor both protein yield and specific activity throughout the optimization process, as conditions that maximize yield might not preserve optimal activity.

How can researchers optimize assay conditions to accurately measure A. metalliredigens argG activity?

Optimizing the enzymatic assay for A. metalliredigens argG requires careful consideration of the organism's native environment and the enzyme's biochemical properties:

  • Buffer selection: HEPES or carbonate buffers with effective buffering capacity at pH 9.0-10.0 would better reflect the optimal growth pH of A. metalliredigens (pH 9.6) .

  • Salt concentration: Include NaCl at 20 g/L to mimic the optimal growth conditions of A. metalliredigens .

  • Temperature control: Maintain assays at 35°C, the optimal growth temperature of the organism .

  • Metal ion supplementation: Include appropriate metals (Mg2+ for ATP hydrolysis) and test the effect of metals relevant to A. metalliredigens ecology (Fe, Co, Cr).

  • Enzyme concentration optimization: Determine the linear range of enzyme concentration vs. activity to ensure measurements are made within this range.

The coupled enzyme assay system should be validated under these conditions to ensure that the detection system (auxiliary enzymes, NADH oxidation) remains functional at alkaline pH.

What analytical methods can differentiate between properly folded, active A. metalliredigens argG and misfolded variants?

Multiple analytical approaches can assess proper folding and activity:

  • Size exclusion chromatography: Active human AS elutes primarily as a tetramer ; properly folded A. metalliredigens argG would likely show similar oligomerization behavior.

  • Circular dichroism spectroscopy: Properly folded enzyme should exhibit characteristic alpha-helical secondary structure similar to that observed for human AS , though there may be differences reflecting adaptation to alkaline conditions.

  • Thermal shift assays: Differential scanning fluorimetry can assess thermal stability and ligand binding. Active enzyme typically exhibits a cooperative unfolding transition and ligand-induced stability changes.

  • Limited proteolysis: Properly folded proteins often show distinct, limited digestion patterns compared to misfolded variants when exposed to proteases.

  • Activity assays with varying substrate concentrations: Properly folded enzyme will exhibit Michaelis-Menten kinetics with parameters within the expected range for AS enzymes (kcat ~0.1-1.0 s-1, KM ~10-100 μM) .

These methods, used in combination, provide a comprehensive assessment of protein folding and functional state.

How is argG expression regulated in A. metalliredigens and how might this inform recombinant expression strategies?

While specific regulatory mechanisms for argG in A. metalliredigens are not detailed in the search results, general principles of arginine biosynthesis regulation and the unique ecological niche of this bacterium suggest:

  • Potential metal-dependent regulation: Given A. metalliredigens' metal-reducing lifestyle , expression of metabolic genes including argG might be co-regulated with metal response pathways.

  • Alkaline-responsive regulation: Gene expression under high pH conditions often involves specific transcription factors that could regulate argG and other metabolic genes.

  • Nutrient availability sensing: In most bacteria, arginine biosynthesis genes are regulated by arginine levels through feedback mechanisms.

For recombinant expression, incorporating the native promoter and regulatory elements might be valuable for studies requiring physiological expression levels, while constitutive promoters would be preferred for high-yield protein production.

What metabolic engineering approaches could optimize arginine production using A. metalliredigens argG?

Strategic metabolic engineering approaches include:

  • Pathway balancing: Ensure adequate supply of precursors (aspartate, citrulline) by upregulating their biosynthetic pathways.

  • Feedback inhibition relief: Engineer argG and other pathway enzymes to be resistant to feedback inhibition by arginine.

  • Cofactor engineering: Optimize ATP regeneration systems to drive the energy-intensive AS reaction.

  • Export enhancement: Overexpress arginine exporters to reduce product inhibition and minimize feedback regulation.

  • Redox balancing: In A. metalliredigens, consider the interconnection between arginine metabolism and the organism's metal-reducing capabilities , potentially engineering strains that couple arginine production to metal reduction for enhanced energy efficiency.

The metabolic engineering strategy should be informed by a genome-scale metabolic model that accounts for A. metalliredigens' unique physiology, including its growth optima at pH 9.6 and 35°C .

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