Recombinant Geobacter sulfurreducens Homoserine O-acetyltransferase (metX)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for precise delivery estimates.
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, but this can be adjusted as needed.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its inclusion.
Synonyms
metXA; GSU2462Homoserine O-acetyltransferase; HAT; EC 2.3.1.31; Homoserine transacetylase; HTA
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-368
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Geobacter sulfurreducens (strain ATCC 51573 / DSM 12127 / PCA)
Target Names
metXA
Target Protein Sequence
MSVGIVEEQS VTFETDLRLE SGRILGPITL AYETYGRLNA DRSNAILVAH AWTGNAHLAG KYSEDDPKPG WWDAIVGPGR LLDTDRWFVI CSNVIGSCYG STGPASVNPK TGKRYNLSFP VITVRDMVRA QALLLDHLGI ERLLTVLGGS MGGMQALEWA TQFPDRVRSA IALATTSRPS PQAISLNAVA RWAIFNDPSW KKGEYRKNPK DGLALARGIG HITFLSDESM WQKFGRRYSA RDGLFDFFGQ FEVERYLTYN GYNFVDRFDT NSFLYLAKAL DLYDVAWGYE SLEDAFSRVT APIQFFAFTS DWLYPPYQTE EMATTLRALG KEAEYHLIPS AYGHDAFLLE HETFAPMVRD FLARVERG
Uniprot No.

Target Background

Function
This protein catalyzes the transfer of an acetyl group from acetyl-CoA to L-homoserine, resulting in the formation of acetyl-L-homoserine.
Database Links

KEGG: gsu:GSU2462

STRING: 243231.GSU2462

Protein Families
AB hydrolase superfamily, MetX family
Subcellular Location
Cytoplasm.

Q&A

What is the role of Homoserine O-acetyltransferase (MetX) in bacterial methionine biosynthesis?

In bacterial systems, methionine biosynthesis can occur through two distinct mechanisms: trans-sulfurylation or direct sulfurylation. The direct sulfurylation pathway has been demonstrated to be more efficient and yields greater methionine production, though the enzymes catalyzing these reactions, including MetX, have not been extensively characterized in all bacterial species .

How does MetX functionality differ between bacterial species?

While the fundamental role of MetX remains consistent across bacterial species, significant variations exist in its regulation, substrate affinity, and catalytic efficiency. For instance, the Homoserine O-acetyltransferase found in Leptospira meyeri is notably not subject to feedback inhibition , a characteristic that may differ in Geobacter sulfurreducens.

The MetX enzyme, when characterized across different bacterial species, demonstrates varying kinetic parameters. Based on enzyme kinetic assays, MetX typically shows stronger affinity for homoserine compared to acetyl-CoA as evidenced by lower KM values for homoserine . For example, in comparative studies, the KM value for homoserine was measured at 0.060 mM compared to 0.158 mM for acetyl-CoA, indicating substantially higher enzyme affinity for homoserine .

What expression systems are most effective for recombinant G. sulfurreducens MetX production?

For efficient expression of recombinant G. sulfurreducens MetX, plasmid-based systems with strong inducible promoters in E. coli are widely employed. The experimental approach typically involves:

  • Plasmid construction containing the MetX gene from G. sulfurreducens

  • Transformation into expression hosts such as BL21 E. coli strains

  • Growth in standard media with appropriate antibiotics (often chloramphenicol)

  • Induction and culture optimization

In practical experimental setups, researchers have successfully utilized bacterial expression systems with plasmid constructs measuring approximately 10,000-11,000 base pairs containing chloramphenicol resistance markers . Cultures are typically grown at 37°C with shaking at 250 rpm until reaching optimal optical density (OD600 ~3) before induction .

What are the kinetic properties of G. sulfurreducens MetX, and how do they compare to other bacterial MetX enzymes?

The enzymatic properties of MetX can be quantitatively characterized through assays measuring substrate binding and reaction velocity. Kinetic analyses reveal important parameters including Vmax and KM for the two primary substrates: homoserine and acetyl-CoA.

Table 1: Comparative Kinetic Parameters of MetX from Different Sources

ParameterHomoserineAcetyl-CoAExperimental Method
KM (mM)0.0600.158DTNB reaction at 420nm
Relative AffinityHigherLowerBased on KM values

This data indicates that MetX has approximately 2.6-fold higher affinity for homoserine compared to acetyl-CoA. These kinetic properties are critical considerations when designing metabolic engineering strategies to enhance methionine production in recombinant systems .

How can structural biology approaches enhance our understanding of G. sulfurreducens MetX?

Structural characterization of MetX provides critical insights into its catalytic mechanism and potential for engineering. Homology modeling techniques have been successfully applied based on crystallographic structures of related proteins. For instance, researchers have utilized published structures with PDB identifiers (e.g., 7kb0.1.A) as templates for modeling G. sulfurreducens MetX .

While sequence identity between MetX from different bacterial species may be moderate (around 50%), computational modeling approaches can produce high-confidence structural models with Global Model Quality Estimate (GMQE) scores above 80% . These models allow researchers to:

  • Identify critical active site residues

  • Understand the spatial arrangement of catalytic amino acids

  • Design rational mutagenesis strategies

  • Predict impacts of amino acid substitutions on enzyme function

What mutagenesis strategies can enhance MetX activity for methionine production?

Strategic mutagenesis of MetX represents a promising approach for enhancing methionine biosynthesis. Based on structural and functional analyses, several approaches have demonstrated effectiveness:

  • Active site optimization: Mutations targeting the catalytic residues can alter substrate specificity or release rate. Key residues identified through structural analysis that may influence catalysis include specific tyrosine, asparagine, aspartate, serine, and alanine positions .

  • Computational prediction: Advanced computational biology techniques including AlphaFold2 and PROSS have been utilized to predict beneficial mutations . These approaches can identify substitutions likely to enhance thermostability, substrate binding, or catalytic rate.

  • Directed evolution: Error-prone PCR methods allow for the generation of mutation libraries that can be screened for enhanced activity .

Implementation of these strategies requires careful experimental design, including the development of efficient screening systems to identify improved enzyme variants.

What are the optimal protocols for MetX enzyme activity assays?

Accurate measurement of MetX activity is essential for characterizing both wild-type and mutant enzymes. A standardized protocol for MetX activity assessment employs spectrophotometric methods:

  • The reaction is typically monitored using 5,5'-dithiobis-(2-nitrobenzoic acid) (DTNB) as a colorimetric reagent that reacts with free thiol groups

  • Absorbance is measured at 420nm, providing a quantitative readout of reaction progress

  • Reactions are conducted with varying substrate concentrations to determine Michaelis-Menten parameters

  • Data is analyzed using standard enzyme kinetics software to calculate Vmax and KM values

This methodology allows for quantitative characterization of substrate binding to either acetyl-CoA or homoserine and provides essential data for comparing enzyme variants.

How can screening systems be developed for improved MetX variants?

Developing efficient screening systems is crucial for identifying improved MetX variants. An effective approach involves:

  • Genetic system calibration: Engineer E. coli strains with specific gene knockouts (e.g., ΔMetAB, ΔMetABJ) to create methionine auxotrophs that depend on the recombinant MetX activity for growth .

  • Growth-based selection: Culture engineered strains in minimal media (e.g., M9) where growth correlates directly with methionine production efficiency.

  • High-throughput screening: Implement plate-based or flow cytometry methods to rapidly identify colonies or cells with enhanced methionine production.

  • Validation assays: Confirm improved enzyme activity through purification and in vitro kinetic characterization of promising variants.

This systematic approach enables researchers to efficiently navigate large mutation libraries to identify variants with enhanced catalytic properties.

What purification strategies maximize yield and activity of recombinant MetX?

Optimized purification of recombinant MetX is essential for biochemical characterization and structural studies. A refined protocol typically includes:

  • Cell lysis: Mechanical disruption or chemical lysis of bacterial cells expressing recombinant MetX.

  • Initial clarification: Centrifugation at cold temperatures (4°C) and moderate speeds (approximately 5000 rpm) to remove cell debris .

  • Chromatographic purification: Affinity chromatography utilizing engineered tags (His-tag) or ion exchange chromatography based on the protein's isoelectric point.

  • Concentration: Careful concentration using centrifugal filter devices, noting that significant protein loss can occur during this step if not optimized .

  • Buffer optimization: Selection of stabilizing buffers that maintain enzyme activity throughout purification and storage.

For recombinant MetX, elution conditions typically involve a gradient approach, with the protein often found in higher concentration fractions (e.g., 20% elution buffer) .

How does MetX function integrate with other methionine pathway enzymes?

MetX function must be considered within the broader context of the methionine biosynthetic pathway. The efficiency of methionine production depends on the coordinated activity of multiple enzymes, particularly the interaction between MetX and MetY. These enzymes function sequentially, with MetX catalyzing the initial acetylation step and MetY involved in subsequent transformations .

The relationship between these enzymes can be visualized as a pathway in which substrate availability becomes a critical factor. Both acetyl-CoA and L-homoserine are considered limiting factors in the MetX-catalyzed reaction . This understanding has important implications for metabolic engineering strategies:

  • Overexpression of both MetX and MetY may be required for optimal pathway flux

  • Balancing expression levels of these enzymes can prevent bottlenecks

  • Ensuring adequate supply of precursor metabolites (acetyl-CoA and homoserine) is essential

How does the G. sulfurreducens metabolism influence MetX function?

Geobacter sulfurreducens possesses a specialized metabolism adapted to its ecological niche. It can utilize various electron acceptors for growth, including iron hydroxides or fumarate, which influences its physiological properties and metabolic flux . These unique metabolic characteristics may impact MetX function through:

  • Energy metabolism: G. sulfurreducens forms biofilms and accumulates energy-reserve polymers like glycogen under certain conditions, which may affect acetyl-CoA availability for MetX .

  • Redox state: The organism maintains a complex electron transfer system with numerous cytochromes in various oxidation states, which could influence enzyme activity .

  • Adaptation mechanisms: G. sulfurreducens demonstrates metabolic versatility, including propionate utilization pathways not present in related species, suggesting potential unique regulatory mechanisms for amino acid biosynthesis .

Understanding these metabolic context factors is essential when engineering recombinant MetX systems for optimal performance.

How has MetX evolved within the Geobacteraceae family?

Evolutionary analysis of MetX within Geobacteraceae reveals insights into its functional adaptation. Genome sequence comparisons between Geobacter species show that while many metabolic pathways are conserved, significant variations exist in specific enzyme systems .

G. metallireducens and G. sulfurreducens, for example, show different evolutionary trajectories in various metabolic pathways, though significant patterns of gene organization are conserved . Several enzymes of amino acid metabolism, potentially including MetX, appear to have different origins in these species .

This evolutionary divergence suggests that MetX may have adapted to different ecological niches and metabolic contexts across Geobacter species, potentially affecting its catalytic properties and regulation.

What genomic contexts provide insights into MetX regulation in G. sulfurreducens?

The genomic neighborhood of MetX can provide valuable information about its regulation and functional relationships. In bacterial systems, genes involved in related metabolic processes are often organized in operons or functional clusters.

Analysis of the genome sequence of Geobacter species reveals conserved gene organization patterns that provide clues to regulatory mechanisms . Understanding these genomic contexts can inform experimental approaches to manipulating MetX expression and activity in recombinant systems.

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