Recombinant Bacteriocin

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Description

Definition and Mechanism of Action

Recombinant bacteriocins are antimicrobial peptides synthesized via recombinant DNA technology, enabling large-scale production and functional optimization . Unlike native bacteriocins, which are ribosomally produced by bacteria, recombinant variants are engineered for:

  • Improved yield: Through codon optimization and promoter tuning

  • Enhanced stability: Modified amino acid sequences to resist proteolytic degradation

  • Targeted activity: Fusion proteins or hybrid bacteriocins with extended antimicrobial spectra

Their mechanisms include:

  • Membrane disruption: Pore formation in gram-positive/negative bacteria (e.g., BMP32r)

  • Enzymatic interference: Inhibition of DNA gyrase (MccB17) or RNA polymerase (MccJ25)

  • Apoptosis induction: Caspase activation in cancer cells (rhamnosin, lysostaphin)

Host Systems

Host OrganismAdvantagesExample BacteriocinsYield
Escherichia coliHigh growth rate, established toolsLysostaphin, Rhamnosin 10–50 mg/L
Corynebacterium glutamicumGRAS status, low protease activityGarvicin Q 0.5–2 g/L
Lactococcus lactisFood-grade safetyNisin variants 100–300 mg/L

Secretion Optimization

  • Signal peptide engineering: Bacillus subtilis SP library increased GarQ secretion 40-fold

  • Fusion tags: 6-His tags for Ni²⁺ affinity purification

  • Co-expression: Dual bacteriocin systems (EntAB) enhance antimicrobial synergy

Anticancer Activity

BacteriocinCancer TypeMechanismEfficacy (IC₅₀)
RhamnosinCholangiocarcinoma (CCA)Caspase-3/9 activation, BAX upregulation 12.5 µg/mL
LysostaphinGemcitabine-resistant CCAMitochondrial membrane potential loss 18.7 µg/mL
Microcin E492Colorectal carcinomaCalcium ion release, necrosis 20 µg/mL

Antimicrobial Performance

  • Food safety: Reduced Listeria monocytogenes counts by 5-log in cheese models

  • Clinical use: 98% inhibition of Clostridioides difficile at 0.5 µM

  • Drug-resistant pathogens: 75% growth suppression in vancomycin-resistant Enterococcus

Synergistic Combinations

  • Rhamnosin + Lysostaphin: 73.8% apoptosis induction in drug-resistant CCA vs. 38.4% for monotherapy

  • EntAB co-expression: Reduced E. faecalis viability from 10⁸ to <10³ CFU/mL in 10 hours

Stability Enhancements

  • Thermal resistance: Recombinant pediocin retained 90% activity after 121°C/15 min

  • pH tolerance: Active across pH 2–11 due to engineered disulfide bonds

Challenges and Future Directions

  1. Production costs: C. glutamicum fermentations require $3.50–$7.80 per gram

  2. Regulatory hurdles: Only nisin (E234) has FDA/EMA approval for food/pharma use

  3. Resistance mitigation: Dual-bacteriocin platforms delay resistance emergence by 8× vs antibiotics

Emerging strategies include CRISPR-edited bacteriocin hybrids and AI-driven peptide design, with 127 clinical trials registered for oncological applications as of 2025 .

Product Specs

Form
Lyophilized powder. We will ship the in-stock format preferentially. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery time varies based on purchasing method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance; additional fees apply.
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect 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. 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 require a specific tag, please inform us, and we will prioritize its development.
Synonyms
Bacteriocin
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-41
Protein Length
Cytoplasmic domain
Purity
>85% (SDS-PAGE)
Species
Lactococcus sp.
Target Protein Sequence
TSYGNGVHCN KSKCWIDVSE LETYKAGTVS NPKDILWSLK E
Uniprot No.

Target Background

Function
Bacteriocin active against S. aureus, S. typhi, B. thuringiensis, Klebsiella sp., E. coli KL16, and E. coli Gj137.
Protein Families
Bacteriocin class IIA/YGNGV family
Subcellular Location
Secreted.

Q&A

What are bacteriocins and why pursue recombinant production methods?

Bacteriocins are highly diverse antimicrobial peptides ribosomally synthesized by bacteria and archaea. They offer significant potential as alternatives to conventional antibiotics due to their high antimicrobial activities, stability, and relatively low toxicity . Recombinant production methods overcome limitations of natural isolation, including low yields, complex purification processes, and heterogeneity of natural extracts. Recombinant approaches allow for precise genetic manipulation, controlled expression, and systematic characterization of bacteriocins, facilitating both fundamental research and potential therapeutic applications .

What are the major classes of bacteriocins relevant for recombinant production?

Bacteriocins from lactic acid bacteria (LAB) are commonly classified into three major categories:

ClassCharacteristicsExamplesRecombinant Production Considerations
Class ILow molecular weight (≤10 kDa) with post-translational modificationsNisin, SalivaricinRequires specialized expression systems capable of performing post-translational modifications
Class IILow molecular weight (≤10 kDa) without post-translational modificationsEnterocin A, Enterocin B, Pediocin PA-1Generally easier to express in heterologous systems like E. coli
Class IIIHigh molecular weight (>10 kDa)Various bacteriolysinsMay face folding challenges in recombinant systems

This classification system is not universally standardized, with alternative classification systems being proposed by different researchers . Class II bacteriocins are often preferred for recombinant expression due to their simpler structure and lack of complex post-translational modifications.

How should researchers design expression systems for optimal bacteriocin production?

When designing expression systems for recombinant bacteriocins, researchers should consider:

  • Selection of expression host: While E. coli BL21(DE3) pLysS is commonly used for its high expression levels and ease of handling , it may not be ideal for all bacteriocins, particularly those requiring post-translational modifications. In such cases, consider gram-positive hosts like Lactococcus lactis or cell-free systems.

  • Vector design considerations:

    • Include a strong, inducible promoter (e.g., T7 for E. coli systems)

    • Incorporate an appropriate secretion signal for extracellular production

    • Add affinity tags (His6, GST) for purification, with a TEV protease cleavage site

    • Consider codon optimization for the host organism

  • Expression conditions:

    • Lower temperatures (16-25°C) often improve folding and reduce inclusion body formation

    • Controlled induction (e.g., lower IPTG concentrations for E. coli)

    • Optimized media composition to reduce proteolytic degradation

The bacteriocin secretion platform developed for the expression of Enterocin A and Enterocin B from non-pathogenic E. coli demonstrates the effectiveness of a modular approach that can be adapted for multiple bacteriocins .

What genomic and proteomic approaches can identify novel bacteriocins for recombinant production?

Modern discovery of novel bacteriocins benefits from integrating genomic and proteomic approaches:

  • Combined genomics-peptidomics approach: As demonstrated with Lactobacillus crustorum MN047, performing complete genome sequencing followed by LC-MS/MS peptidome analysis of fermentation products can efficiently identify novel bacteriocins. This approach led to the discovery of eight novel bacteriocins with broad-spectrum activity against both Gram-positive and Gram-negative bacteria .

  • Bioinformatic prediction tools:

  • Verification methodology: Candidate bacteriocin genes should be cloned and expressed in heterologous systems like E. coli BL21(DE3) pLysS, followed by antimicrobial activity testing against target pathogens .

This integrated approach is particularly valuable for identifying bacteriocins with low or no homology to known antimicrobial peptides.

How can researchers optimize yield and purity of recombinant bacteriocins?

Optimization of recombinant bacteriocin production requires systematic approach to maximize yield while maintaining biological activity:

  • Expression optimization:

    • Conduct factorial design experiments varying temperature, induction time, inducer concentration, and media composition

    • Consider auto-induction media for E. coli systems to achieve higher cell densities

    • Implement fed-batch fermentation strategies to increase biomass and product yield

  • Purification strategies:

    • For His-tagged bacteriocins: IMAC (Immobilized Metal Affinity Chromatography) with nickel or cobalt resins

    • Ion exchange chromatography based on bacteriocin pI

    • Hydrophobic interaction chromatography for separation based on hydrophobicity

    • Size exclusion chromatography as a polishing step

    • Antimicrobial activity-guided fractionation to monitor purification efficiency

  • Tag removal considerations:

    • TEV or PreScission protease cleavage of affinity tags

    • Verification of activity before and after tag removal

    • Secondary purification to remove cleaved tags and proteases

Implementing a systematic DOE (Design of Experiments) approach can help identify optimal conditions while reducing experimental burden.

What are the key challenges in expressing bacteriocins with post-translational modifications?

Class I bacteriocins present unique challenges due to their post-translational modifications:

  • Lanthionine-containing bacteriocins (lantibiotics):

    • Require co-expression of modification enzymes (LanB, LanC, or LanM)

    • Need for leader peptide recognition by modification machinery

    • Often require expression of immunity factors to prevent self-toxicity

  • Experimental strategies:

    • Construct operons containing both the structural gene and modification enzyme genes

    • Consider native producer strains as expression hosts

    • Implement the NICE (NIsin-Controlled gene Expression) system in L. lactis

    • Design chimeric leader peptides recognized by heterologous modification machinery

  • Verification of modifications:

    • Mass spectrometry analysis (MS/MS) to confirm lanthionine bridges and other modifications

    • Comparison of antimicrobial activity between modified and unmodified peptides

    • NMR structural analysis for complete characterization

The unique structural features of class I bacteriocins contribute significantly to their stability and antimicrobial activity, making proper modification essential for functional studies .

What methods should researchers use to assess recombinant bacteriocin antimicrobial activity?

Comprehensive antimicrobial activity assessment requires multiple complementary approaches:

  • Agar-based methods:

    • Agar well diffusion: Measuring zones of inhibition around wells containing bacteriocin

    • Spot-on-lawn: Direct application of bacteriocin solutions onto indicator strain lawns

    • Radial diffusion assays: For quantitative comparison of different bacteriocins

  • Liquid-based methods:

    • Broth microdilution for MIC (Minimum Inhibitory Concentration) determination

    • Time-kill assays to determine bactericidal versus bacteriostatic effects

    • Growth curve analysis in presence of different bacteriocin concentrations

  • Advanced functional characterization:

    • Membrane potential disruption assays using fluorescent dyes

    • Pore formation assessment using fluorescent markers of different sizes

    • Lipid bilayer conductance measurements for mechanistic studies

For example, the bacteriocin BM1122 from L. crustorum demonstrated MIC values of 13.7 mg/L against both Staphylococcus aureus ATCC29213 and E. coli, demonstrating its broad-spectrum activity . The Enterocin A and Enterocin B secreting strains developed in a modular expression platform showed strong antimicrobial activity against Enterococcus faecalis and Enterococcus faecium in both solid culture and liquid co-culture experiments .

How can recombinant bacteriocins be characterized structurally and biochemically?

Comprehensive structural and biochemical characterization involves:

  • Primary structure confirmation:

    • Mass spectrometry (MALDI-TOF, ESI-MS) for molecular weight determination

    • N-terminal sequencing by Edman degradation

    • Amino acid composition analysis

    • Peptide mapping after controlled proteolytic digestion

  • Secondary and tertiary structure analysis:

    • Circular dichroism (CD) spectroscopy for secondary structure content

    • Nuclear Magnetic Resonance (NMR) for detailed structural characterization

    • X-ray crystallography for crystallizable bacteriocins

  • Stability and physical properties assessment:

    • Thermal stability (by CD thermal melts or differential scanning calorimetry)

    • pH stability profiles using activity assays after pH treatment

    • Protease sensitivity assays

    • Storage stability under different conditions

  • Mode of action studies:

    • Membrane permeabilization assays

    • Peptidoglycan binding studies

    • Lipid II binding assays for lantibiotics

    • Receptor identification through pull-down experiments

These characterizations are essential for understanding structure-function relationships and for rational design of improved variants .

How can mathematical models improve the design of recombinant bacteriocin-based antimicrobial systems?

Mathematical modeling approaches provide valuable insights for optimizing bacteriocin-based systems:

  • Lotka-Volterra competition models:

    • Can capture the competitive dynamics between bacteriocin-producing strains and target pathogens

    • Allow prediction of population dynamics under different conditions

    • Help optimize dosing strategies and combination approaches

    • These models have been successfully applied to characterize interactions between Enterocin A and B-secreting strains and Enterococcus species

  • Pharmacokinetic/pharmacodynamic (PK/PD) modeling:

    • Characterizes bacteriocin stability, distribution, and clearance in complex environments

    • Predicts effective concentrations needed in different delivery systems

    • Informs dosing frequency for sustained antimicrobial activity

  • Structural modeling and molecular dynamics:

    • Predicts bacteriocin-membrane interactions

    • Guides rational design of improved variants

    • Helps identify critical residues for activity and stability

Integrating experimental data with mathematical models allows researchers to design more effective bacteriocin-based antimicrobial systems with improved targeting and efficacy.

What are the current methodological approaches for engineering enhanced bacteriocin variants?

Engineering improved bacteriocin variants employs several complementary strategies:

  • Rational design approaches:

    • Site-directed mutagenesis based on structure-function relationships

    • Domain swapping between different bacteriocins for hybrid molecules

    • Incorporation of non-natural amino acids for enhanced stability

    • N- or C-terminal modifications to improve solubility or activity

  • Directed evolution strategies:

    • Error-prone PCR to generate diverse variant libraries

    • DNA shuffling of related bacteriocin genes

    • High-throughput screening using reporter systems

    • Activity-based selection in bacterial competition assays

  • Computational design methods:

    • In silico prediction of improved variants

    • Molecular dynamics simulations to predict stability and activity

    • Machine learning approaches integrating experimental data

These approaches have led to bacteriocins with improved spectrum of activity, enhanced stability, and reduced susceptibility to resistance development. For example, engineering bacteriocins that can target Gram-negative pathogens represents a significant advance, as most natural bacteriocins primarily target Gram-positive bacteria .

What strategies can address common challenges in recombinant bacteriocin expression?

Researchers frequently encounter several challenges when expressing recombinant bacteriocins:

  • Poor expression levels:

    • Try different promoter systems (T7, tac, araBAD)

    • Optimize ribosome binding sites and codon usage

    • Consider expression as fusion proteins with solubility enhancers (SUMO, MBP, TrxA)

    • Adjust induction conditions (temperature, inducer concentration, cell density at induction)

  • Inclusion body formation:

    • Lower expression temperature (16-20°C)

    • Co-express chaperones (GroEL/ES, DnaK/J)

    • Use solubility tags as mentioned above

    • Develop refolding protocols from inclusion bodies using oxidative refolding

  • Host toxicity issues:

    • Use tightly regulated expression systems

    • Co-express immunity proteins when available

    • Consider cell-free protein synthesis systems

    • Explore different host organisms with higher tolerance

  • Proteolytic degradation:

    • Use protease-deficient host strains

    • Add protease inhibitors during purification

    • Optimize secretion to avoid intracellular proteases

    • Design protease-resistant variants through rational mutagenesis

These strategies should be systematically evaluated to overcome expression challenges for specific bacteriocins .

How can researchers assess and address host immunity mechanisms when working with recombinant bacteriocins?

Understanding and managing immunity mechanisms is critical for effective bacteriocin production:

  • Immunity mechanism assessment:

    • Genomic analysis to identify immunity genes in native producers

    • Expression profiling to determine immunity protein levels

    • Susceptibility testing of producer strains with and without immunity proteins

    • Co-immunoprecipitation to identify immunity protein-bacteriocin interactions

  • Strategies to address immunity challenges:

    • Co-expression of cognate immunity proteins with bacteriocins

    • Design of expression vectors containing both bacteriocin and immunity genes

    • Use of dedicated ABC transporter systems for efficient export

    • Engineering of bacteriocin variants that maintain activity but evade immunity mechanisms

  • Host resistance considerations:

    • Monitor for emergence of resistant populations during production

    • Implement dual-bacteriocin production systems to reduce resistance development

    • Characterize cross-resistance patterns between different bacteriocins

    • Develop rotation strategies for multiple bacteriocins

Most bacteriocin-producing strains possess immunity mechanisms involving dedicated immunity proteins and/or ABC transporter systems, which vary significantly between different bacteriocin types .

How can synthetic biology approaches advance recombinant bacteriocin research?

Synthetic biology offers powerful tools for bacteriocin research advancement:

  • Modular expression platforms:

    • Development of standardized genetic parts for bacteriocin expression

    • Creation of modular bacteriocin secretion platforms adaptable to multiple bacteriocins

    • Design of synthetic operons combining structural genes, modification enzymes, and immunity factors

    • The bacteriocin secretion platform developed for Enterocin A and B demonstrates the potential of modular approaches

  • CRISPR-Cas9 applications:

    • Precise genome editing of producer strains

    • Knockout of competing peptidases to improve yield

    • Multiplex modification of bacteriocin gene clusters

    • Creation of minimal chassis organisms optimized for bacteriocin production

  • Cell-free synthesis systems:

    • Rapid prototyping of bacteriocin variants

    • Production of toxic bacteriocins that inhibit host growth

    • Incorporation of non-canonical amino acids

    • High-throughput screening of variant libraries

These approaches can significantly accelerate both discovery and optimization of recombinant bacteriocins for research and potential therapeutic applications .

What methods can researchers use to study bacteriocin effects on complex microbial communities?

Studying bacteriocin impacts on microbial communities requires sophisticated approaches:

  • Advanced co-culture systems:

    • Continuous culture systems with defined communities

    • Microfluidic platforms for spatial organization studies

    • Transwell systems to study diffusible factors

    • 3D biofilm models to assess bacteriocin penetration and activity

  • Community profiling methods:

    • 16S rRNA gene sequencing for community composition

    • Metagenomic analysis for functional potential

    • Metatranscriptomics to assess community responses

    • Flow cytometry with viability staining for rapid assessment

  • Systems biology approaches:

    • Metabolomics to assess community metabolic shifts

    • Proteomics for community-wide protein expression changes

    • Network analysis to identify key community interactions

    • Multi-omics integration for comprehensive understanding

  • Mathematical modeling of complex communities:

    • Agent-based models of spatial interactions

    • Ecological modeling of community dynamics

    • Metabolic modeling of resource competition

These approaches help understand how bacteriocins function as ecological modulators in complex microbial systems, which is crucial for developing microbiome-based interventions .

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