Elucidation of the molecular envenomation strategy of the cone snail Conus geographus through transcriptome sequencing of its venom duct
Open Access
- 28 June 2012
- journal article
- Published by Springer Science and Business Media LLC in BMC Genomics
- Vol. 13 (1), 284
- https://doi.org/10.1186/1471-2164-13-284
Abstract
The fish-hunting cone snail, Conus geographus, is the deadliest snail on earth. In the absence of medical intervention, 70% of human stinging cases are fatal. Although, its venom is known to consist of a cocktail of small peptides targeting different ion-channels and receptors, the bulk of its venom constituents, their sites of manufacture, relative abundances and how they function collectively in envenomation has remained unknown. We have used transcriptome sequencing to systematically elucidate the contents the C. geographus venom duct, dividing it into four segments in order to investigate each segment’s mRNA contents. Three different types of calcium channel (each targeted by unrelated, entirely distinct venom peptides) and at least two different nicotinic receptors appear to be targeted by the venom. Moreover, the most highly expressed venom component is not paralytic, but causes sensory disorientation and is expressed in a different segment of the venom duct from venoms believed to cause sensory disruption. We have also identified several new toxins of interest for pharmaceutical and neuroscience research. Conus geographus is believed to prey on fish hiding in reef crevices at night. Our data suggest that disorientation of prey is central to its envenomation strategy. Furthermore, venom expression profiles also suggest a sophisticated layering of venom-expression patterns within the venom duct, with disorientating and paralytic venoms expressed in different regions. Thus, our transcriptome analysis provides a new physiological framework for understanding the molecular envenomation strategy of this deadly snail.Keywords
This publication has 48 references indexed in Scilit:
- iPath2.0: interactive pathway explorerNucleic Acids Research, 2011
- Characterization of the Conus bullatus genome and its venom-duct transcriptomeBMC Genomics, 2011
- A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequencesBMC Bioinformatics, 2010
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiationNature Biotechnology, 2010
- Proteomic Analysis Provides Insights on Venom Processing in Conus textileJournal of Proteome Research, 2010
- A scaling normalization method for differential expression analysis of RNA-seq dataGenome Biology, 2010
- Fast and accurate short read alignment with Burrows–Wheeler transformBioinformatics, 2009
- KAAS: an automatic genome annotation and pathway reconstruction serverNucleic Acids Research, 2007
- Biochemical and gene expression analyses of conotoxins in Conus textile venom ductsBiochemical and Biophysical Research Communications, 2005
- Basic local alignment search toolJournal of Molecular Biology, 1990