Marine cone snails have developed sophisticated chemical strategies to capture prey and defend themselves against predators. Among the vast array of bioactive molecules in their venom, peptide components called conotoxins or conopeptides dominate, with many binding with high affinity and selectivity to a broad range of cellular targets, including receptors and transporters of the nervous system. Whereas the conopeptide gene precursor organization has a conserved topology, the peptides in the venom duct are highly processed. Indeed, deep sequencing transcriptomics has uncovered on average fewer than 100 toxin gene precursors per species, whereas advanced proteomics has revealed >10-fold greater diversity at the peptide level. In the present study, second-generation sequencing technologies coupled to highly sensitive mass spectrometry methods were applied to rapidly uncover the conopeptide diversity in the venom of a worm-hunting species, Conus miles. A total of 662 putative conopeptide encoded sequences were retrieved from transcriptomic data, comprising 48 validated conotoxin sequences that clustered into 10 gene superfamilies, including 3 novel superfamilies and a novel cysteine framework (C-C-C-CCC-C-C) identified at both transcript and peptide levels. A surprisingly large number of conopeptide gene sequences were expressed at low levels, including a series of single amino acid variants, as well as sequences containing deletions and frame and stop codon shifts. Some of the toxin variants generate alternative cleavage sites, interrupted or elongated cysteine frameworks, and highly variable isoforms within families that could be identified at the peptide level. Together with the variable peptide processing identified previously, background genetic and phenotypic levels of biological messiness in venoms contribute to the hypervariability of venom peptides and their ability to evolve rapidly. Marine cone snails have developed sophisticated chemical strategies to capture prey and defend themselves against predators. Among the vast array of bioactive molecules in their venom, peptide components called conotoxins or conopeptides dominate, with many binding with high affinity and selectivity to a broad range of cellular targets, including receptors and transporters of the nervous system. Whereas the conopeptide gene precursor organization has a conserved topology, the peptides in the venom duct are highly processed. Indeed, deep sequencing transcriptomics has uncovered on average fewer than 100 toxin gene precursors per species, whereas advanced proteomics has revealed >10-fold greater diversity at the peptide level. In the present study, second-generation sequencing technologies coupled to highly sensitive mass spectrometry methods were applied to rapidly uncover the conopeptide diversity in the venom of a worm-hunting species, Conus miles. A total of 662 putative conopeptide encoded sequences were retrieved from transcriptomic data, comprising 48 validated conotoxin sequences that clustered into 10 gene superfamilies, including 3 novel superfamilies and a novel cysteine framework (C-C-C-CCC-C-C) identified at both transcript and peptide levels. A surprisingly large number of conopeptide gene sequences were expressed at low levels, including a series of single amino acid variants, as well as sequences containing deletions and frame and stop codon shifts. Some of the toxin variants generate alternative cleavage sites, interrupted or elongated cysteine frameworks, and highly variable isoforms within families that could be identified at the peptide level. Together with the variable peptide processing identified previously, background genetic and phenotypic levels of biological messiness in venoms contribute to the hypervariability of venom peptides and their ability to evolve rapidly. Cone snails are predatory marine gastropods that feed on a variety of prey, including fish and invertebrates. With ∼700 cone snail species described, Conus represents the largest genus of all invertebrate marine animals. The current classification and phylogeny of cone snails are still a matter of debate and are being refined using genomic DNA and radula morphology data (1Bouchet P. Kantor Y.I. Sysoev A. Puillandre N. A new operational classification of the conoidea.J. Molluscan Stud. 2011; 77: 273-308Crossref Scopus (130) Google Scholar, 2Biggs J.S. Watkins M. Corneli P.S. Olivera B.M. Defining a clade by morphological, molecular and toxinological criteria: distinctive forms related to Conus praecellens A. Adams, 1854.Nautilus. 2010; 124: 1-19PubMed Google Scholar, 3Duda Jr., T.F. Bolin M.B. Meyer C.P. Kohn A.J. Hidden diversity in a hyperdiverse gastropod genus: discovery of previously unidentified members of a Conus species complex.Mol. Phylogenet. Evol. 2008; 49: 867-876Crossref PubMed Scopus (41) Google Scholar). Cone snails are classified in the taxonomic class Neogastropoda, which comprises three superfamilies, Muricoidea, Cancellarioidea, and Conoidea (4Modica M.V. Holford M. The Neogastropoda: evolutionary innovations of predatory marine snails with remarkable pharmacological potential.in: Pontarotti P. Evolutionary Biology—Concepts, Molecular and Morphological Evolution. Springer-Verlag, Berlin Heidelberg2010: 249-270Google Scholar). The Conidae family belongs to the Conoidea branch, and the only genus of this family is Conus (1Bouchet P. Kantor Y.I. Sysoev A. Puillandre N. A new operational classification of the conoidea.J. Molluscan Stud. 2011; 77: 273-308Crossref Scopus (130) Google Scholar). Cone snails have evolved potent venoms that they use for defense and capturing prey (5Olivera B.M. E. E. Just Lecture, 1996. Conus venom peptides, receptor and ion channel targets, and drug design: 50 million years of neuropharmacology.Mol. Biol. Cell. 1997; 8: 2101-2109Crossref PubMed Scopus (332) Google Scholar). These venoms are highly complex mixtures of dominant cysteine-rich conotoxins as well as cysteine-poor conopeptides, enzymes, and proteins (6Violette A. Biass D. Dutertre S. Koua D. Piquemal D. Pierrat F. Stocklin R. Favreau P. Large-scale discovery of conopeptides and conoproteins in the injectable venom of a fish-hunting cone snail using a combined proteomic and transcriptomic approach,.J. Proteomics. 2012; 75: 5215-5225Crossref PubMed Scopus (68) Google Scholar, 7Czerwiec E. Begley G.S. Bronstein M. Stenflo J. Taylor K. Furie B.C. Furie B. Expression and characterization of recombinant vitamin K-dependent gamma-glutamyl carboxylase from an invertebrate, Conus textile.Eur. J. Biochem. 2002; 269: 6162-6172Crossref PubMed Scopus (45) Google Scholar, 8Marsh H. 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Constant and hypervariable regions in conotoxin propeptides.EMBO J. 1990; 9: 1015-1020Crossref PubMed Scopus (172) Google Scholar). Based on signal sequence similarities, conopeptides have been classified into 18 gene superfamilies (12Kaas Q. Westermann J.C. Halai R. Wang C.K. Craik D.J. ConoServer, a database for conopeptide sequences and structures.Bioinformatics. 2008; 24: 445-446Crossref PubMed Scopus (175) Google Scholar, 13Kaas Q. Yu R. Jin A.H. Dutertre S. Craik D.J. and discovery in the conopeptide 2012; PubMed Scopus Google which evolutionary Indeed, the of mature peptide regions the of phylogeny using regions and only the of signal sequences the of conopeptide precursors N. Koua D. Favreau P. Olivera B.M. Stocklin R. Molecular classification and of Evol. 2012; PubMed Scopus Google Scholar). their in the and the conopeptides are from the precursors with proteases J. and characterization of a cone snail with to proteins of the Biol. PubMed Scopus Google and at the are are identified in conopeptides Q. Yu R. Jin A.H. Dutertre S. Craik D.J. and discovery in the conopeptide 2012; PubMed Scopus Google Scholar). The is the of and the conopeptides with than are to as conotoxins B.M. J. Hillyard D.R. Cruz L.J. Biol. PubMed Google Scholar). are into cysteine frameworks, using to the of in the mature peptide region Q. Westermann J.C. Craik D.J. characterization and an analysis using 2010; PubMed Scopus Google Scholar, S. S. D. Y. Y. S. A novel of receptors from Conus a new conotoxin 2013; 8: PubMed Scopus Google Scholar). The are for the and activity of they are of the of the cysteine transcriptomics has to uncovered on average fewer than 100 toxin precursors per Conus species S. Jin A.H. Q. A. the for peptide diversity in cone snail Cell. Proteomics. 2013; PubMed Scopus Google Scholar, H. Olivera B.M. M. of the Conus and 2011; PubMed Scopus Google Scholar, H. Olivera B.M. 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Evol. 2012; PubMed Scopus Google Scholar). of Conus venoms have evolved to generate this vast number of peptides from a of is to on the molecular of Conus venom peptides S. Jin A.H. Q. A. the for peptide diversity in cone snail Cell. Proteomics. 2013; PubMed Scopus Google Scholar). In the present study, a applied to uncover the of a worm-hunting species of cone Conus miles. only a using conserved signal peptides has been applied to the discovery of conotoxins from this species, with three superfamilies and and 10 conopeptide sequences identified A. N. and their precursors identified by the PubMed Scopus Google Scholar, S. D. J. Y. Y. of the conotoxins from Conus PubMed Scopus (12) Google Scholar, S. R. S. 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Westermann J.C. Craik D.J. characterization and an analysis using 2010; PubMed Scopus Google Scholar, S. Jin A.H. Q. A. the for peptide diversity in cone snail Cell. Proteomics. 2013; PubMed Scopus Google Scholar). The venom from three of C. from the for proteomic on the venom were and the were in of acid and at further and of the cysteine as previously S. Jin A.H. Q. A. the for peptide diversity in cone snail Cell. Proteomics. 2013; PubMed Scopus Google Scholar). proteomics and were to the and venom and the were in A of of to venom peptides The in a for on the mass spectrometry mass on an as previously S. Jin A.H. Q. A. the for peptide diversity in cone snail Cell. 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