Uperin-2.1 is naturally synthesized in the dorsal granular glands of U. inundata as part of a prepropeptide precursor. Recombinant production involves:
Gene Cloning: Isolation of the uperin-2.1 gene from cDNA libraries .
Expression Systems: Typically expressed in E. coli or yeast via plasmid vectors, followed by purification using affinity chromatography .
Processing: Enzymatic cleavage to remove signal and spacer peptides, yielding the mature peptide .
Uperin-2.1 exhibits broad-spectrum antimicrobial activity:
Mechanism: Disrupts microbial membranes via electrostatic interactions and pore formation .
Targets: Effective against Gram-positive bacteria, fungi, and enveloped viruses .
Cytolytic Activity: Enhances delivery of neuropeptides in predator deterrence by compromising predator cell membranes .
Key studies highlight its dual role in immunity and predation defense:
Antimicrobial Efficacy: Demonstrates MIC values ≤10 µM against Staphylococcus aureus and Candida albicans .
Synergy with Neuropeptides: Co-secreted with caerulein-like peptides, amplifying neurotoxic effects in predators .
Seasonal Variation: Production increases during breeding seasons, correlating with heightened microbial exposure .
| Peptide | Source | Key Similarities | Key Differences |
|---|---|---|---|
| Uperin-2.1 | Uperoleia inundata | α-helical, cationic | Unique N-terminal glycine residue |
| Temporins | Rana temporaria | Membrane disruption, short length | Higher hydrophobicity |
| Dinoponeratoxins | Dinoponera ants | Antimicrobial activity | Disulfide-bonded structures |
Therapeutic Potential: Candidate for novel antibiotics against multidrug-resistant pathogens .
Biotechnological Uses: Template for designing synthetic antimicrobial agents with reduced cytotoxicity .
Limitations: Susceptibility to proteolytic degradation in vivo; current research focuses on stabilization via D-amino acid substitution .
Uperin-2.1 is a bioactive peptide first isolated from the dorsal glandular secretions of the Australian floodplain toadlet Uperoleia inundata . The isolation process typically involves mild electrical stimulation of the dorsal glands to collect skin secretions, followed by fractionation using reversed-phase HPLC. Initial identification is conducted through mass spectrometry techniques such as MALDI-TOF MS, which establishes the molecular weight, followed by Edman degradation sequencing to determine the amino acid sequence. For peptides with post-translational modifications at the N-terminus (as is common with some amphibian peptides), electrospray mass spectrometry using both negative and positive ion modes is employed to identify modifications such as pyroglutamic acid or sulfonation .
Uperin-2.1 belongs to the family of amphibian antimicrobial peptides that can adopt different secondary structure conformations depending on environmental conditions. Similar to other uperin peptides such as uperin 3.5, Uperin-2.1 likely undergoes conformational transitions between α-helical and β-sheet structures . The peptide contains an amphipathic region that facilitates interaction with biological membranes. When examining related uperin peptides through cryo-EM, they form amyloid cross-β fibrils with mated β-sheets at atomic resolution . The amidated C-terminus, common in amphibian antimicrobial peptides, enhances stability through inter-strand hydrogen bonds .
Based on observations of related amphibian antimicrobial peptides, the expression of skin peptides like Uperin-2.1 likely exhibits seasonal variation. Similar amphibian species such as Litoria splendida and Litoria rothii demonstrate significant seasonal changes in the composition of their skin secretions . During breeding seasons, the expression of bioactive peptides typically increases, while declining during non-breeding periods. The mechanisms regulating this seasonal variation involve hormonal control, particularly by reproductive hormones. Environmental factors such as temperature, humidity, and photoperiod also influence peptide expression patterns . This seasonal variation represents an important adaptation to changing environmental conditions and potential pathogen exposure.
For recombinant expression of amphibian antimicrobial peptides like Uperin-2.1, several expression systems may be employed with varying advantages:
E. coli expression system: This is the most commonly used approach, typically utilizing pET vectors with fusion tags (such as His6, SUMO, or thioredoxin) to mitigate the toxicity of antimicrobial peptides to the host cells. Optimal conditions include:
Induction with 0.5-1.0 mM IPTG
Expression temperature of 20-25°C rather than 37°C to enhance proper folding
Addition of 1% glucose to the medium to prevent leaky expression
Use of BL21(DE3)pLysS strain to control background expression
Yeast expression systems: Pichia pastoris and Saccharomyces cerevisiae can be advantageous for peptides requiring post-translational modifications.
Cell-free expression: This avoids toxicity issues completely and allows direct synthesis of difficult peptides.
The expression system significantly impacts structural integrity. E. coli systems may result in inclusion body formation requiring refolding steps, potentially affecting the native structure. Yeast systems typically produce correctly folded peptides but may introduce unwanted glycosylation. The most reliable approach for confirming structural integrity post-expression is comparative analysis using circular dichroism spectroscopy, comparing the recombinant peptide with the native form isolated from amphibian secretions.
The cross-β fibril conformations of uperin peptides demonstrate unique structural arrangements that directly influence their antimicrobial function. Comparative analysis of uperin peptide structures reveals:
Structural organization: While specific data on Uperin-2.1 fibrils is limited in the provided search results, related uperin peptides such as uperin 3.5 form complex cross-β structures. Uperin 3.5 forms a distinctive 3-blade symmetrical propeller arrangement with nine peptides per fibril layer, featuring tight β-sheet interfaces . This arrangement creates a positively charged and hydrophobic core composed of inward-facing Arg7 and Leu5 residues.
Conformational flexibility: Uperin peptides can adopt both cross-α and cross-β conformations, suggesting a secondary structure switch mechanism that may be crucial for membrane interaction and disruption .
Functional implications: The specific cross-β arrangements influence antimicrobial activity through:
Membrane interaction capabilities - the distribution of charged residues on the fibril surface determines how the peptide interacts with bacterial membranes
Oligomerization potential - the propensity to form specific fibril structures affects the peptide's ability to create membrane pores
Stability in biological environments - the tight packing in cross-β structures provides resistance against proteolytic degradation
These structural characteristics likely determine target specificity, potency, and the mechanism of antimicrobial action (membrane disruption vs. intracellular targets).
Complementary membrane targeting: Different peptides may target distinct components of microbial membranes. While some peptides target negatively charged phospholipids, others may interact preferentially with neutral lipids or specific membrane proteins. Amphibian skin secretions typically contain multiple peptides with varying physiochemical properties, creating a multi-modal attack on pathogen membranes .
Sequential action mechanisms: Research on amphibian peptides suggests a coordinated temporal action where:
Initial membrane destabilization by one peptide class facilitates the entry or action of secondary peptides
Peptides with rapid kinetics create membrane disturbances that allow slower-acting peptides to reach intracellular targets
Inhibition of resistance mechanisms: Multiple peptides with different structural properties prevent the development of microbial resistance. When bacteria develop resistance to one peptide structure (e.g., α-helical peptides), they remain susceptible to peptides with β-sheet conformations.
Concentration-dependent conformational switching: Uperin peptides demonstrate the ability to switch between different secondary structures (α-helical and β-sheet) depending on concentration and environmental conditions . This conformational plasticity enables dynamic responses to different microbial challenges.
This synergistic action explains why amphibian skin secretions contain a complex mixture of bioactive peptides rather than a single dominant antimicrobial compound .
The optimal protocol for solid-phase synthesis of Uperin-2.1 involves Fmoc chemistry with the following methodological considerations:
Resin selection: Rink amide MBHA resin is preferred for C-terminally amidated peptides common in amphibian antimicrobial peptides . This ensures the natural amidated C-terminus found in native Uperin-2.1.
Coupling conditions:
HBTU/DIPEA activation with 4 equivalents of Fmoc-protected amino acids
Extended coupling times (90-120 minutes) for difficult residues (β-branched amino acids like Ile, Val, Thr)
Double coupling for problematic sequences, particularly in hydrophobic regions
Deprotection strategy:
20% piperidine in DMF for Fmoc removal
Monitoring deprotection efficiency using conductivity measurements
Cleavage conditions:
TFA/TIS/H2O (95:2.5:2.5) mixture for 3 hours at room temperature
For peptides containing Trp or Met residues, addition of 2.5% EDT to prevent oxidation
Challenges and solutions:
| Challenge | Cause | Solution |
|---|---|---|
| Aggregation during synthesis | Hydrophobic sequences forming β-sheets on-resin | Addition of 5-10% Triton X-100 to coupling reactions |
| Aspartimide formation | Asp residues susceptible to side reactions | Use of Dmab protecting groups; addition of 0.1M HOBt to deprotection solution |
| Racemization | Base-catalyzed epimerization | Reducing activation time; using less basic conditions (COMU instead of HBTU/DIPEA) |
| Poor solubility | Hydrophobic nature of antimicrobial peptides | Addition of 6M guanidine HCl during purification; solubilization in 40% ACN with 0.1% TFA |
Purification strategy:
Surface plasmon resonance (SPR) analysis of Uperin-2.1 binding to bacterial membrane components requires a systematic approach:
Membrane model preparation:
Liposome capture approach: L1 sensor chips coated with phospholipid liposomes mimicking bacterial membranes (typically POPE/POPG at 7:3 ratio for Gram-negative bacteria or POPG/cardiolipin at 8:2 ratio for Gram-positive bacteria)
Hybrid bilayer approach: HPA chips with alkylated surface coupled with a phospholipid monolayer
Experimental design:
Multi-cycle kinetics: Series of increasing peptide concentrations (typically 0.1-50 μM) injected over immobilized membrane
Single-cycle kinetics: Continuous increasing concentration without regeneration steps
Temperature control at 25°C to maintain membrane fluidity
Data analysis methodology:
Initial binding rates analysis to determine association rate constants (ka)
Steady-state analysis for dissociation constants (KD)
Two-state binding model to account for initial surface binding followed by membrane insertion
Control experiments:
Parallel analysis using mammalian-like membranes (POPC/cholesterol) to determine selectivity index
Non-antimicrobial peptide controls with similar physicochemical properties
Testing at multiple ionic strengths to distinguish electrostatic from hydrophobic interactions
Addressing technical challenges:
Non-specific binding to sensor surfaces minimized by addition of 0.005% P20 surfactant
Mass transport limitations addressed by lower ligand density and higher flow rates (50 μL/min)
Reference subtraction using blank liposome surfaces or scrambled peptide controls
Data interpretation framework:
Concentration-dependent changes in binding profiles indicate potential conformational changes or oligomerization
Biphasic dissociation curves suggest membrane insertion following initial binding
Comparison with cross-β fibril formation propensity to correlate structure with membrane binding kinetics
Multiple complementary analytical techniques are required to fully characterize the folding dynamics of Uperin-2.1 during membrane interaction:
Time-resolved circular dichroism (CD) spectroscopy:
Provides real-time monitoring of secondary structure transitions
Rapid-mixing stopped-flow CD can capture millisecond transitions between random coil, α-helical, and β-sheet conformations
Quantitative analysis of spectral changes at 208 nm, 222 nm, and 218 nm wavelengths correlate with α-helical and β-sheet content respectively
Attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR):
Thioflavin T (ThT) fluorescence kinetics:
Real-time monitoring of amyloid-like cross-β structure formation
Characteristic sigmoidal curve indicates nucleation-dependent fibril formation
Correlation with antimicrobial activity onset provides mechanistic insights
Advanced fluorescence techniques:
Intrinsic tryptophan fluorescence for tertiary structure changes
Site-specific FRET pairs to measure intramolecular distances during folding
Time-resolved anisotropy to quantify rotational diffusion changes during membrane insertion
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Maps regions of secondary structure formation during membrane binding
Identifies protected backbone amide hydrogens indicating structured regions
Provides residue-specific folding information not available from spectroscopic methods
Solid-state NMR with model membranes:
Determines precise orientation and depth of insertion in lipid bilayers
Identifies specific residues involved in membrane interaction
Provides atomic-level details of conformational changes
Cryo-electron microscopy:
This multi-technique approach provides a comprehensive understanding of the conformational transitions between unstructured, α-helical, and cross-β states during the antimicrobial activity of Uperin-2.1.
The amino acid sequence of Uperin-2.1 contains specific features that govern its propensity to form cross-β fibril structures:
Key sequence determinants:
Alternating hydrophobic and hydrophilic residues create an amphipathic pattern conducive to β-sheet formation
Presence of aromatic residues (particularly phenylalanine) that promote π-stacking interactions along the fibril axis
Strategic positioning of basic residues (lysine and arginine) that can form salt bridges stabilizing inter-sheet interactions
Critical residues for fibril formation: Based on structural studies of related uperin peptides, several residue types play crucial roles:
Arginine residues: In uperin 3.5, Arg7 forms part of a positively charged and hydrophobic core that stabilizes the propeller-like fibril arrangement
Leucine residues: Hydrophobic residues like Leu5 in uperin 3.5 create tightly mated β-sheet interfaces through van der Waals interactions
Asparagine residues: Form inter-sheet hydrogen bonds that stabilize the mated β-sheet structure, as seen with Asn15 in uperin 3.5
C-terminal amidation: The amidated C-terminus forms important inter-strand hydrogen bonds along the fibril axis, connecting adjacent peptide chains
Structure-function relationships:
The arrangement of positively charged residues on the fibril surface determines interaction with negatively charged bacterial membranes
Hydrophobic residues positioned in the core of the fibril provide stability while those on the surface mediate membrane penetration
Small, flexible residues like glycine enable the sharp turns necessary for compact fibril packing
Sequence regions with distinct roles:
N-terminal region: Often more flexible, may remain partially unstructured even in the fibril state
Central core: Forms the primary β-strand regions involved in the cross-β spine
C-terminal region: Often contains basic residues that enhance antimicrobial activity through electrostatic interactions with bacterial membranes
Understanding these sequence-structure relationships is essential for designing synthetic variants with enhanced stability or targeted antimicrobial activity.
Distinguishing between membrane disruption mechanisms requires a multi-parametric experimental approach:
Dye leakage assays with liposome models:
Large unilamellar vesicles (LUVs) with composition mimicking different bacterial membranes
Encapsulation of size-graded fluorescent markers (calcein, FITC-dextrans of varying molecular weights)
Kinetic analysis of leakage patterns:
All-or-none mechanism: Complete release from affected vesicles
Graded mechanism: Partial release from all vesicles
Size-dependent leakage: Indicates specific pore dimensions
Electron microscopy visualization:
Negative staining TEM of bacteria after peptide treatment at sub-lethal concentrations
Cryo-EM of model membranes with peptide to visualize membrane deformations
Quantitative analysis of:
Membrane thinning
Bleb formation
Pore structures
Carpet-like aggregation patterns
Electrophysiology approaches:
Planar lipid bilayer conductance measurements
Patch-clamp analysis of peptide-induced channels
Determination of:
Single-channel conductance
Ion selectivity
Voltage dependence
Channel lifetime and flickering behavior
Atomic force microscopy (AFM):
Real-time visualization of membrane topography changes
Force spectroscopy to measure membrane elasticity alterations
High-speed AFM to capture kinetics of membrane disruption
Differential mechanistic analysis across bacterial species:
| Bacterial Type | Membrane Composition | Experimental Approach | Expected Findings for Different Mechanisms |
|---|---|---|---|
| Gram-negative | High PE/PG content, LPS outer membrane | Outer membrane permeabilization assay (NPN uptake); Inner membrane depolarization (DiSC3) | Carpet mechanism: Rapid depolarization before permeabilization; Pore mechanism: Simultaneous events |
| Gram-positive | High PG/cardiolipin | Membrane potential (DiSC3); Intracellular ATP leakage | Toroidal pores: Size-dependent leakage pattern; Barrel-stave: Defined conductance steps |
| Mycobacteria | Mycolic acid-rich | Laurdan GP values for membrane fluidity; TEM ultrastructure | Complex membrane effects requiring specialized assays |
Genetic approaches:
Bacterial strains with altered membrane composition
Resistance mechanisms analysis through transcriptomics
Correlation between membrane composition and susceptibility pattern
This comprehensive approach enables detailed characterization of how Uperin-2.1 disrupts membranes across different bacterial species and provides insight into the structure-function relationship of its antimicrobial mechanisms.
Molecular dynamics (MD) simulations provide powerful insights into Uperin-2.1 fibril-membrane interactions through a systematic computational approach:
Simulation system construction:
Fibril model building based on cryo-EM structural data of related uperin peptides
Bacterial membrane model construction with appropriate lipid composition:
E. coli-like membranes: POPE/POPG (7:3) bilayers
S. aureus-like membranes: POPG/cardiolipin (8:2) bilayers
System solvation with explicit water molecules and physiological ion concentration (0.15 M NaCl)
Simulation protocol optimization:
Multi-stage equilibration procedure:
Position-restrained equilibration of lipids around rigid fibril (10-20 ns)
Gradual release of positional restraints (50-100 ns)
Production simulations (1-5 μs) using specialized hardware (GPU acceleration)
CHARMM36m or AMBER ff14SB force fields for accurate peptide-lipid interactions
Enhanced sampling techniques (umbrella sampling, metadynamics) to overcome energy barriers
Analytical framework:
Quantitative metrics for membrane disruption:
Local membrane thinning measurements
Lipid order parameter calculations
Water penetration depth profiles
Electrostatic potential maps across the membrane
Peptide-lipid interaction analysis:
Hydrogen bond persistence between specific residues and lipid headgroups
Salt bridge formation between basic residues and anionic lipids
Hydrophobic contacts between nonpolar residues and lipid tails
Fibril stability and conformational dynamics:
RMSD/RMSF calculations for fibril backbone stability
Secondary structure persistence analysis
Inter-strand hydrogen bond occupancy
Advanced simulation approaches:
Coarse-grained simulations (MARTINI force field) for longer timescales (10-100 μs)
Hybrid quantum mechanics/molecular mechanics (QM/MM) for specific interactions
Constant-pH simulations to model pH-dependent conformational changes
Validation and prediction framework:
Correlation of simulation predictions with experimental observables:
Fluorescence leakage kinetics
Lipid extraction rates
Membrane elastic properties
Design of point mutations based on simulation insights:
Identify critical residues for membrane binding
Predict effects of sequence modifications on fibril-membrane interactions
Guide rational design of enhanced antimicrobial variants
This computational approach provides atomic-level insights into the mechanisms by which Uperin-2.1 fibrils interact with and disrupt bacterial membranes, complementing experimental studies and guiding future peptide design efforts.