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High Throughput Identification of Novel Conotoxins from the Vermivorous Oak Cone Snail (Conus quercinus) by Transcriptome Sequencing.

Bingmiao GaoChao PengYabing ZhuYuhui SunTian ZhaoYu HuangQiong Shi
Published in: International journal of molecular sciences (2018)
The primary objective of this study was to realize the large-scale discovery of conotoxin sequences from different organs (including the venom duct, venom bulb and salivary gland) of the vermivorous Oak cone snail, Conus quercinus. Using high-throughput transcriptome sequencing, we identified 133 putative conotoxins that belong to 34 known superfamilies, of which nine were previously reported while the remaining 124 were novel conotoxins, with 17 in new and unassigned conotoxin groups. A-, O₁-, M-, and I₂- superfamilies were the most abundant, and the cysteine frameworks XIII and VIII were observed for the first time in the A- and I₂-superfamilies. The transcriptome data from the venom duct, venom bulb and salivary gland showed considerable inter-organizational variations. Each organ had many exclusive conotoxins, and only seven of all the inferred mature peptides were common in the three organs. As expected, most of the identified conotoxins were synthesized in the venom duct at relatively high levels; however, a number of conotoxins were also identified in the venom bulb and the salivary gland with very low transcription levels. Therefore, various organs have different conotoxins with high diversity, suggesting greater contributions from several organs to the high-throughput discovery of new conotoxins for future drug development.
Keyphrases
  • high throughput
  • single cell
  • rna seq
  • epithelial mesenchymal transition
  • gene expression
  • small molecule
  • electronic health record
  • machine learning
  • big data
  • artificial intelligence
  • amino acid