Conotoxin Sequences Research Articles

New Method for Characterizing Highly Disulfide-Bridged Peptides in Complex Mixtures: Application to Toxin Identification from Crude Venoms

Animal venoms are highly complex mixtures that can contain many disulfide-bridged toxins. This work presents an LC-MALDI approach allowing (1) a rapid classification of toxins according to their number of disulfide bonds and (2) a rapid top-down sequencing of the toxins using a new MALDI matrix enhancing in-source decay (ISD). The crude venom is separated twice by LC: the fractions of the first separation are spotted on the MALDI matrix alpha-cyano-4-hydroxycinnamic acid (CHCA) and the others using 1,5-diaminonaphthalene (1,5-DAN). CHCA spots are more convenient for obtaining a precise mass fingerprint of a large number of peptides; however, the analysis of 1,5-DAN spots allows the number of disulfide bridges to be counted owing to their partial in-plume reduction by this particular matrix. Subsequently, the disulfide bonds of all peptides present in the crude venom were reduced by an excess of tris(carboxyethyl)phosphine before the LC separation and were subjected to the same analysis in CHCA and 1,5-DAN. Toxins were sequenced using a TOF/TOF analysis of metastable fragments from CHCA spots and ISD fragmentation from 1,5-DAN spots. Novel conotoxin sequences were found using this approach. The use of 1,5-DAN for ISD top-down sequencing is also illustrated for higher molecular weight toxins such as snake cardiotoxins and neurotoxins (>6500 Da), where sequence coverage >70% is obtained from the c-ion series.

Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification

Conotoxins are disulfide rich small peptides that target a broad spectrum of ion-channels and neuronal receptors. They offer promising avenues in the treatment of chronic pain, epilepsy and cardiovascular diseases. Assignment of newly sequenced mature conotoxins into appropriate superfamilies using a computational approach could provide valuable preliminary information on the biological and pharmacological functions of the toxins. However, creation of protein sequence patterns for the reliable identification and classification of new conotoxin sequences may not be effective due to the hypervariability of mature toxins. With the aim of formulating an in silico approach for the classification of conotoxins into superfamilies, we have incorporated the concept of pseudo-amino acid composition to represent a peptide in a mathematical framework that includes the sequence-order effect along with conventional amino acid composition. The polarity index attribute, which encodes information such as residue surface buriability, polarity, and hydropathy, was used to store the sequence-order effect. Several methods like BLAST, ISort (Intimate Sorting) predictor, least Hamming distance algorithm, least Euclidean distance algorithm and multi-class support vector machines (SVMs), were explored for superfamily identification. The SVMs outperform other methods providing an overall accuracy of 88.1% for all correct predictions with generalized squared correlation of 0.75 using jackknife cross-validation test for A, M, O and T superfamilies and a negative set consisting of short cysteine rich sequences from different eukaryotes having diverse functions. The computed sensitivity and specificity for the superfamilies were found to be in the range of 84.0–94.1% and 80.0–95.5%, respectively, attesting to the efficacy of multi-class SVMs for the successful in silico classification of the conotoxins into their superfamilies.

Determining sequences and post-translational modifications of novel conotoxins in Conus victoriae using cDNA sequencing and mass spectrometry.

A combination of cDNA cloning and detailed mass spectrometric analyses was employed to identify novel conotoxins from Conus victoriae. Eleven conotoxin sequences were determined using molecular methods: one belonging to the A superfamily (Vc1.1), six belonging to the O superfamily (Vc6.1-Vc6.6) and four members of the T superfamily (Vc5.1-Vc5.4). In order to verify the sequences and identify the post-translational modifications (excluding the disulfide connectivity) of three Conus victoriae conotoxins, vc1a, vc5a and vc6a, deduced from sequences Vc1.1, Vc5.1, and Vc6.1, respectively, liquid chromatography/electrospray ionization ion trap mass spectrometry, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and nanospray ionization ion trap mass spectrometry with collisionally induced dissociation were performed on reduced and alkylated venom fractions. We report that vc1a, the native form of alpha-conotoxin Vc1.1 (an unmodified 16 amino acid residue peptide that has notable pain-relieving capabilities), includes a hydroxyproline and a gamma-carboxyglutamate residue. Conotoxin vc5a is a 10-residue peptide with two disulfide bonds and a hydroxyproline and vc6a is a 25 amino acid peptide with three disulfide bonds.

Evolutionary diversification of multigene families: allelic selection of toxins in predatory cone snails.

In order to investigate the evolution of conotoxin multigene families among two closely related vermivorous CONUS: species, we sequenced 104 four-loop conotoxin mRNAs from two individuals of CONUS: ebraeus and compared these with sequences already obtained from CONUS: abbreviatus. In contrast to the diversity of conotoxin sequences obtained from C. abbreviatus, only two common sequence variants were recovered from C. ebraeus. Segregation patterns of the variants in these two individuals and restriction digests of four-loop conotoxin amplification products from nine additional individuals suggest that the common variants are alleles from a single locus. These two putative alleles differ at nine positions that occur nonrandomly in the toxin-coding region of the sequences. Moreover, all substitutions are at nonsynonymous sites and are responsible for seven amino acid differences among the predicted amino acid sequences of the alleles. These results imply that conotoxin diversity is driven by strong diversifying selection and some form of frequency-dependent or overdominant selection at conotoxin loci, and they suggest that diverse conotoxin multigene families can originate from duplications at polymorphic loci. Furthermore, none of the sequences recovered from C. ebraeus appeared to be orthologs of loci from C. abbreviatus, and attempts to amplify orthologous sequences with locus-specific primers were unsuccessful among these species. These patterns suggest that venoms of closely related CONUS: species may differ due to the differential expression of conotoxin loci.

Conotoxins - new vistas for peptide therapeutics.

There are approximately 500 species of predatory cone snails within the genus Conus. They comprise what is arguably the largest single genus of marine animals alive today. It has been estimated that the venom of each Conus species has between 50 and 200 components. These highly constrained sulfur rich components or conotoxins represent a unique arsenal of neuropharmacologically active peptides that have been evolutionarily tailored to afford unprecedented and exquisite selectivity for a wide variety of ion-channel subtypes. Remarkable divergence occurs when cone snails speciate. Consequently, the complement of venom peptides in any one Conus species is distinct from that of any other species. Hence many thousands of peptides that modulate ion channel function are present within Conus venoms. Evolutionary pressures have afforded a "pre-optimized," structurally sophisticated library that has been "fine tuned" over 50 million years. The statistics associated with sampling such libraries bear testimony to the validity and feasibility of this strategy. Although approximately 100 conotoxin sequences have been published in the scientific literature, representing a mere 0.2 % of the estimated library size, this sample has already afforded a peptide of proven clinical utility and several pre-clinical leads for CNS disorders. Conus libraries represent a rich pharmacopoeia and the potential to "therapeutically mine" such a resource appears limitless. The paucity of synthetic methodologies necessary to achieve the regioisomeric folding patterns present in these native peptides precludes access to synthetic conotoxin libraries, further validating the overall "mining" strategy. In this article, we will present a pragmatic overview of the molecular diversity as well as the neurobiological mechanisms that define each major class of conotoxin.