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Updated: Apr 7, 2026
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Synthesis and Structure Determination of µ-Conotoxin PIIIA Isomers with Different Disulfide Connectivities
Published on: October 2, 2018
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Optimized deep-targeted proteotranscriptomic profiling reveals unexplored Conus toxin diversity and novel cysteine
Vincent Lavergne1, Ivon Harliwong2, Alun Jones1
1Division of Chemistry and Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia;
Summary
Cone snails possess a complex venom system producing numerous conotoxins. This study identified a record 3,305 novel conopeptides in Conus episcopatus, revealing new toxin superfamilies and structures with potential novel pharmacology.
Area of Science:
- Marine Biology
- Biochemistry
- Genomics
Background:
- Cone snails (genus Conus) are marine gastropods known for their sophisticated venom apparatus.
- Their venom contains complex mixtures of cysteine-rich toxin peptides called conotoxins.
- Conotoxins fold into structured frameworks, enabling potent and selective interaction with ion channels and receptors.
Purpose of the Study:
- To conduct a high-resolution analysis of the venom apparatus transcriptomes and proteomes of Conus episcopatus.
- To identify and characterize novel conopeptides and their structural motifs.
- To investigate the origin of sequence hypervariability in conotoxins.
Main Methods:
- High-resolution interrogation of transcriptomes and proteomes.
- Biochemical and bioinformatic analyses.
- Codon usage bias and RNA-editing process analysis.
Main Results:
- Discovery of 3,305 novel precursor toxin sequences, the highest number from a single specimen.
- Identification of 16 new conopeptide superfamilies with unique signal peptide signatures.
- Characterization of the largest known populations of venom peptides with specific cysteine motifs and novel cysteine-rich frameworks.
Conclusions:
- The study significantly expands the known diversity of conopeptides.
- Novel conotoxin superfamilies and frameworks with potential new pharmacological applications were identified.
- Analysis of transcriptomic data provides insights into the conservation of cysteine skeletons and the origins of toxin sequence variability.
