Recombinant Corynebacterium glutamicum Lysine export transcriptional regulatory protein lysG (lysG)

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Product Specs

Form
Lyophilized powder. We will preferentially ship the available format. For specific format requirements, please note them when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult local distributors for specific delivery times. Proteins are shipped with blue ice packs by default. Request dry ice in advance for an extra fee.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer ingredients, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 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
Tag type is determined during manufacturing. If you have a specific tag type requirement, please inform us for preferential development.
Synonyms
lysG; Cgl1263; cg1425Lysine export transcriptional regulatory protein LysG
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-290
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / JCM 1318 / LMG 3730 / NCIMB 10025)
Target Names
lysG
Target Protein Sequence
MNPIQLDTLL SIIDEGSFEG ASLALSISPS AVSQRVKALE HHVGRVLVSR TQPAKATEAG EVLVQAARKM VLLQAETKAQ LSGRLAEIPL TIAINADSLS TWFPPVFNEV ASWGGATLTL RLEDEAHTLS LLRRGDVLGA VTREANPVAG CEVVELGTMR HLAIATPSLR DAYMVDGKLD WAAMPVLRFG PKDVLQDRDL DGRVDGPVGR RRVSIVPSAE GFGEAIRRGL GWGLLPETQA APMLKAGEVI LLDEIPIDTP MYWQRWRLES RSLARLTDAV VDAAIEGLRP
Uniprot No.

Target Background

Function
LysG positively regulates the lysine exporter LysE. Induction requires a coinducer (intracellular L-lysine, L-arginine, or L-citrulline). L-histidine also acts as a coinducer but is not exported by LysE. The lysEG system prevents bacteriostasis from elevated L-lysine or L-arginine levels during growth with peptides or in biosynthesis pathway mutants.
Database Links

KEGG: cgb:cg1425

STRING: 196627.cg1425

Q&A

What is the function of lysG in Corynebacterium glutamicum?

LysG functions as a transcriptional regulatory protein that controls the expression of lysine export systems in C. glutamicum. It belongs to the LysR-type transcriptional regulator family and plays a crucial role in maintaining appropriate intracellular lysine concentrations. When intracellular lysine levels increase, LysG activates the expression of lysine exporter genes, primarily lysE, to prevent toxic accumulation of lysine inside the cell. This regulatory mechanism is essential for cellular homeostasis in lysine-producing bacteria and contributes to the organism's ability to produce high concentrations of lysine .

What lysine export systems are regulated by lysG in C. glutamicum?

Based on current research, there are two primary identified lysine-specific exporters in C. glutamicum:

  • LysE - A member of the lysine efflux permease family (2.A.75) directly regulated by lysG

  • LysO (called YbjE in E. coli) - A secondary lysine exporter with different regulatory patterns

Additionally, a novel exporter called MglE has been identified that improves L-lysine tolerance and production. Studies have shown that overexpression of LysE in C. glutamicum achieves a five-fold higher lysine export rate, demonstrating its significance in lysine transport systems . The regulation of these exporters by lysG occurs primarily at the transcriptional level, with lysG binding to specific promoter regions when activated by elevated lysine concentrations.

How does the regulatory mechanism of lysG function at the molecular level?

The lysG protein regulates gene expression through a lysine-responsive mechanism:

  • In its inactive state, lysG has low affinity for its DNA binding sites

  • When intracellular lysine concentrations increase, lysine binds to the effector domain of lysG

  • This binding induces a conformational change in lysG that enhances its DNA-binding capacity

  • The activated lysG then binds to specific promoter regions, particularly the lysE promoter

  • RNA polymerase recruitment is facilitated, increasing transcription of the target genes

  • The resulting elevated expression of lysine exporters reduces intracellular lysine to homeostatic levels

This feedback loop ensures that lysine export capacity adjusts dynamically to match cellular production levels, preventing both toxic accumulation and wasteful export .

What techniques are most effective for studying lysG function in C. glutamicum?

Researchers investigating lysG function should consider implementing multiple complementary approaches:

  • Genetic manipulation:

    • Gene knockout (ΔlysG) to assess loss-of-function effects

    • Controlled overexpression systems using inducible promoters

    • Site-directed mutagenesis targeting specific functional domains

  • Protein-DNA interaction studies:

    • Electrophoretic mobility shift assays (EMSA) to characterize DNA binding

    • DNase I footprinting to identify precise binding sites

    • Chromatin immunoprecipitation (ChIP) followed by sequencing to map genome-wide binding patterns

  • Gene expression analysis:

    • Quantitative PCR for targeted gene expression measurement

    • RNA-seq for transcriptome-wide effects of lysG manipulation

    • Reporter gene constructs (e.g., lysE promoter-GFP fusions) for real-time monitoring

  • Biochemical characterization:

    • Protein purification and structural analysis

    • Isothermal titration calorimetry to measure lysine binding parameters

    • Surface plasmon resonance for interaction kinetics

Implementing a quasi-experimental design with appropriate controls significantly enhances the statistical validity of these studies .

How can researchers optimize expression systems for recombinant lysG protein production?

Optimal expression of recombinant lysG requires systematic optimization of multiple parameters:

  • Vector design considerations:

    • Promoter selection: IPTG-inducible promoters allow titrated expression

    • Copy number: Medium-copy vectors (10-20 copies) balance expression with metabolic burden

    • Codon optimization: Adjust to C. glutamicum codon usage preferences

    • Fusion tags: C-terminal His6 tags preserve DNA-binding function

  • Cultivation conditions:

    • Temperature: 30°C during growth phase, reduced to 25°C post-induction

    • Media composition: Minimal media with controlled nitrogen sources

    • Induction timing: Mid-exponential phase (OD600 ≈ 5-7)

    • Harvest timing: 4-6 hours post-induction for optimal yield

  • Protein stability enhancements:

    • Buffer composition: 50 mM Tris-HCl pH 8.0, 150 mM NaCl, 10% glycerol

    • Co-expression with molecular chaperones (GroEL/ES)

    • Addition of stabilizing ligands during purification

    • Prevention of oxidation with reducing agents

The expression system should be validated through functional assays measuring the ability of the recombinant lysG to activate target gene expression .

What methodologies accurately measure lysine export dynamics in C. glutamicum?

Accurate measurement of lysine export requires specialized techniques to distinguish between intracellular and extracellular pools:

  • Sample preparation approaches:

    • Silicone oil centrifugation for rapid separation of cells from media

    • Membrane filtration with controlled washing steps

    • Quick sampling techniques that minimize lysine leakage

  • Analytical methods:

    • HPLC with ninhydrin derivatization (sensitivity to ~1 μM)

    • LC-MS/MS for enhanced sensitivity (~0.1 μM) and specificity

    • Isotope labeling with 13C or 15N to track metabolic flux

  • Experimental design considerations:

    • Time-course measurements at 3-5 minute intervals

    • Inclusion of appropriate controls (e.g., lysE knockout strains)

    • Normalization to cell density and viability

    • Accounting for growth rate differences between strains

  • Data analysis:

    • Calculation of export rates under varying conditions

    • Determination of Michaelis-Menten parameters

    • Kinetic modeling of export dynamics

These approaches have been successfully employed to demonstrate that MglE expression enhances L-lysine production by 9.5% in industrial C. glutamicum strains compared to controls .

How do mutations in the lysG gene affect lysine production and export efficiency?

Systematic analysis of lysG mutations reveals structure-function relationships critical for lysine export:

Mutation TypeLocationEffect on DNA BindingEffect on Lysine SensingImpact on ExportNotable Observations
DNA binding domainN-terminal regionSeverely compromisedMinimal changeSignificant reductionMutations in highly conserved residues cause complete loss of function
Effector binding domainCentral regionUnchangedReduced or abolishedModerate to severe reductionMay alter lysine concentration threshold for activation
Dimerization interfaceVarious regionsVariable impactVariable impactVariable impactCan create constitutively active or inactive variants
Linker regionsBetween domainsAltered specificityChanged response dynamicsModified export kineticsMay affect cooperativity of response

How does the function of lysG compare between different Corynebacterium species?

Comparative analysis of lysG across Corynebacterium species reveals evolutionary patterns in lysine export regulation:

SpecieslysG Homology to C. glutamicumDNA Binding MotifPrincipal Target GenesRegulatory Mechanism
C. glutamicum100% (reference)ATAAN3ATAAlysEDirect activation
C. efficiens~85%ATAAN3ATAAlysE homologDirect activation
C. diphtheriae~70%ATAAN4ATAAlysE homologDirect activation
C. jeikeium~65%Partially conservedMultiple transportersActivation and repression

Key insights from comparative studies:

  • DNA binding domains show higher conservation than effector-binding regions

  • Species-specific variations correspond to differences in lysine metabolism

  • Regulatory networks expand in complexity in more distantly related species

  • Target gene repertoire varies according to the ecological niche

These findings suggest evolutionary adaptation of the lysG regulatory system to match the metabolic requirements of each species .

How can researchers integrate systems biology approaches to understand lysG regulatory networks?

Systems biology approaches provide comprehensive insights into lysG function within the broader metabolic context:

  • Multi-omics integration strategies:

    • Transcriptomics: RNA-seq under varying lysine concentrations and lysG expression levels

    • Proteomics: Quantification of exporter abundance and post-translational modifications

    • Metabolomics: Profiling of lysine and related metabolites

    • Fluxomics: Measurement of metabolic flux distributions

  • Network reconstruction methodologies:

    • ChIP-seq data to identify all lysG binding sites genome-wide

    • Protein-protein interaction mapping to identify co-regulators

    • Integration with genome-scale metabolic models

  • Computational modeling approaches:

    • Ordinary differential equation (ODE) models of lysG-mediated regulation

    • Constraint-based modeling to predict metabolic responses

    • Machine learning to identify patterns in multi-omics datasets

This integrated approach has successfully identified novel connections between lysine export systems and other cellular processes. For example, the discovery that glutaric acid production can be enhanced through systems metabolic engineering that incorporates optimization of exporter functions, as demonstrated with the ynfM exporter .

How can contradictory results in lysG studies be reconciled and interpreted?

When facing contradictory results in lysG research, a structured approach to contradiction analysis is essential:

  • Systematic contradiction classification:

    • Direct negations (presence/absence of effects)

    • Quantitative inconsistencies (magnitude differences)

    • Contextual contradictions (condition-dependent effects)

  • Experimental context evaluation:

    • Strain background differences (industrial vs. laboratory strains)

    • Growth conditions (minimal vs. complex media)

    • Genetic context (presence of supporting mutations)

    • Measurement methodologies (sensitivity and specificity)

  • Reconciliation strategies:

    • Replicate experiments using standardized protocols

    • Apply switching replication quasi-experimental designs:

      • Intervention group: O1a X O2a O3a

      • Control group: O1b O2b X O3b

    • Conduct meta-analysis of published results

    • Develop mathematical models that explain condition-dependent behaviors

This structured approach allows researchers to identify the specific conditions under which certain results are valid, enhancing reproducibility and resolving apparent contradictions in the literature .

What are the most promising gene editing strategies for manipulating lysG in C. glutamicum?

Advanced genetic engineering approaches offer precise control over lysG expression and function:

  • CRISPR-Cas9 applications:

    • Gene knockout: Complete removal of lysG using targeted double-strand breaks

    • Point mutations: Introduction of specific amino acid changes through homology-directed repair

    • Promoter engineering: Replacement with constitutive or regulated promoters

    • CRISPRi: Tunable repression using catalytically inactive Cas9 (dCas9)

    • CRISPRa: Enhanced expression through fusion of transcriptional activators to dCas9

  • Homologous recombination strategies:

    • Double crossover integration for stable modifications

    • Cre-lox systems for recyclable selection markers

    • Landing pad integration for subsequent cassette exchange

  • Expression control systems:

    • Tetracycline-regulated promoters for titratable expression

    • Riboswitch-based regulation for small molecule responsiveness

    • Degron tags for post-translational control

The most effective approaches combine multiple technologies to achieve precise control over both lysG expression levels and functional characteristics, enabling fine-tuned regulation of lysine export systems.

How can high-throughput screening identify improved lysG variants for enhanced lysine production?

High-throughput screening approaches accelerate the discovery of optimized lysG variants:

  • Biosensor-based screening systems:

    • Development of GFP reporter systems driven by lysE promoter

    • Flow cytometry sorting of cells with enhanced fluorescence profiles

    • Microfluidic platforms for single-cell analysis

    • Time-lapse microscopy for dynamic response monitoring

  • Library generation methodologies:

    • Error-prone PCR with controlled mutation rates

    • DNA shuffling between lysG homologs

    • Site-saturation mutagenesis of key functional residues

    • Combinatorial domain swapping

  • Selection strategies:

    • Growth-based selection using lysine auxotrophs

    • Resistance to toxic lysine analogs

    • Competitive growth in mixed populations

    • Metabolic burden-based counterselection

  • Validation workflow:

    • Secondary screening of primary hits

    • Detailed characterization of promising variants

    • Integration into production strains

    • Fermentation testing under industrial conditions

These approaches have successfully identified novel exporters like MglE that improve L-lysine tolerance in E. coli by 40% and enhance yield, titer, and specific production of L-lysine in industrial C. glutamicum strains .

What emerging technologies could advance our understanding of lysG function?

Several cutting-edge technologies show promise for lysG research:

  • Structural biology advances:

    • Cryo-electron microscopy for visualizing lysG-DNA complexes

    • Hydrogen-deuterium exchange mass spectrometry for conformational dynamics

    • Single-molecule FRET to observe real-time conformational changes

  • Functional genomics approaches:

    • CRISPR interference screens to identify genetic interactions

    • Tiling transposon mutagenesis for high-resolution functional mapping

    • Massively parallel reporter assays for comprehensive promoter analysis

  • Synthetic biology tools:

    • Genetic circuit design for programmable lysine export control

    • Optogenetic regulation of lysG activity

    • Cell-free expression systems for rapid testing

  • Computational methods:

    • Molecular dynamics simulations of lysG-lysine-DNA interactions

    • Deep learning for predicting effects of genetic variations

    • Whole-cell modeling integrating regulation with metabolism

These technologies will enable unprecedented insights into the mechanistic details of lysG function and its integration into cellular regulatory networks.

How might lysG engineering contribute to improved industrial lysine production?

Strategic engineering of lysG could enhance industrial lysine production through several mechanisms:

  • Targeted modifications to improve production parameters:

    • Reduced threshold for activation (faster response to lysine accumulation)

    • Expanded target gene repertoire (activation of multiple exporters)

    • Modified regulatory dynamics (sustained activation even at high export rates)

  • Integration with broader metabolic engineering:

    • Coordinated regulation of biosynthetic and export pathways

    • Prevention of feedback inhibition through timely export

    • Balance between cellular growth and production phases

  • Strain development strategies:

    • Adaptation to specific fermentation conditions

    • Enhanced tolerance to high lysine concentrations

    • Improved response to industrial feedstocks

Current research has demonstrated that incorporating optimized export systems significantly enhances production metrics, with expression of the MglE operon improving L-lysine yield and titer by 7.8% and 9.5% respectively in C. glutamicum VL5 compared to control strains . Similar approaches with glutaric acid production have achieved impressive titers of 105.3 g/L without byproducts .

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