Shotgun proteomics analysis of saliva and salivary gland tissue from the common octopus Octopus vulgaris

Fingerhut, Legana C.H.W., Strugnell, Jan M., Faou, Pierre, Labiaga, Àlvaro Roura, Zhang, Jia, and Cooke, Ira R. (2018) Shotgun proteomics analysis of saliva and salivary gland tissue from the common octopus Octopus vulgaris. Journal of Proteome Research, 17 (11). pp. 3866-3876.

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Abstract

The salivary apparatus of the common octopus (Octopus vulgaris) has been the subject of biochemical study for over a century. A combination of bioassays, behavioral studies and molecular analysis on O. vulgaris and related species suggests that its proteome should contain a mixture of highly potent neurotoxins and degradative proteins. However, a lack of genomic and transcriptomic data has meant that the amino acid sequences of these proteins remain almost entirely unknown. To address this, we assembled the posterior salivary gland transcriptome of O. vulgaris and combined it with high resolution mass spectrometry data from the posterior and anterior salivary glands of two adults, the posterior salivary glands of six paralarvae and the saliva from a single adult. We identified a total of 2810 protein groups from across this range of salivary tissues and age classes, including 84 with homology to known venom protein families. Additionally, we found 21 short secreted cysteine rich protein groups of which 12 were specific to cephalopods. By combining protein expression data with phylogenetic analysis we demonstrate that serine proteases expanded dramatically within the cephalopod lineage and that cephalopod specific proteins are strongly associated with the salivary apparatus.

Item ID: 57284
Item Type: Article (Research - C1)
ISSN: 1535-3907
Keywords: cephalopod; Octopus vulgaris; proteogenomics; proteomics; saliva; tandem mass spectrometry; toxin; transcriptomics; venom; venomics
Date Deposited: 01 Mar 2019 07:20
FoR Codes: 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310205 Proteomics and metabolomics @ 40%
31 BIOLOGICAL SCIENCES > 3101 Biochemistry and cell biology > 310109 Proteomics and intermolecular interactions (excl. medical proteomics) @ 30%
31 BIOLOGICAL SCIENCES > 3104 Evolutionary biology > 310410 Phylogeny and comparative analysis @ 30%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%
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