A combined strategy of neuropeptide prediction and tandem mass spectrometry identifies evolutionarily conserved ancient neuropeptides in the sea anemone Nematostella vectensis
| العنوان: | A combined strategy of neuropeptide prediction and tandem mass spectrometry identifies evolutionarily conserved ancient neuropeptides in the sea anemone Nematostella vectensis |
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| المؤلفون: | Eisuke Hayakawa, Liliane Schoofs, Geert Baggerman, Hiroshi Watanabe, Thomas W. Holstein, Gerben Menschaert |
| المصدر: | PLoS ONE PLoS ONE, Vol 14, Iss 9, p e0215185 (2019) PLOS ONE |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | 0301 basic medicine, Protein Extraction, Animal Evolution, Gene Expression, Nematostella, Peptide, Tandem mass spectrometry, Genome, Biochemistry, LOCUSTA-MIGRATORIA, ELECTRON-TRANSFER DISSOCIATION, Transcriptome, Database and Informatics Methods, 0302 clinical medicine, Tandem Mass Spectrometry, Databases, Genetic, Amidation, HYDRA, Database Searching, Post-Translational Modification, Conserved Sequence, chemistry.chemical_classification, Extraction Techniques, Multidisciplinary, Chemical Synthesis, ANTHO-RFAMIDE, PEPTIDOMICS, Medicine, Identification (biology), Drosophila melanogaster, Engineering sciences. Technology, Sequence Analysis, Signal Peptides, Research Article, food.ingredient, Bioinformatics, Science, In silico, Neuropeptide, Sequence Databases, Computational biology, Biology, Research and Analysis Methods, Evolution, Molecular, 03 medical and health sciences, food, Sequence Motif Analysis, ENDOGENOUS PEPTIDES, Animals, Amino Acid Sequence, Sequence Similarity Searching, PRECURSOR, Evolutionary Biology, MOLECULAR-CLONING, Neuropeptides, Computational Biology, Biology and Life Sciences, Proteins, biology.organism_classification, NERVOUS-SYSTEM, Organismal Evolution, Electron-transfer dissociation, 030104 developmental biology, Sea Anemones, Biological Databases, chemistry, DROSOPHILA-MELANOGASTER, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, 030217 neurology & neurosurgery |
| الوصف: | Neuropeptides are a class of bioactive peptides and are responsible for various physiological processes including metabolism, development and reproduction. Although accumulated genome and transcriptome data have reported a number of neuropeptide candidates, it still remains difficult to obtain a comprehensive view of neuropeptide repertoires due to their small and variable nature. Neuropeptide prediction tools usually work only for those peptides for which sequentially related homologs have previously been identified. Recent peptidomics technology has enabled systematic structural identification of neuropeptides by using the combination of liquid chromatography and tandem mass spectrometry. However, obtaining reliable identifications of endogenous peptides is still difficult using a conventional tandem mass spectrometry-based peptide identification approach using protein database because a large search space has to be scanned due to the absence of a cleavage enzyme specification. We developed a pipeline consisting of the prediction ofin silicocleaved endogenous neuropeptides followed by peptide-spectrum matching enabling highly sensitive and reliable neuropeptide identification. This approach effectively reduces the search space of peptide-spectrum matching, and thus increases search sensitivity. To identify neuropeptides inNematostella vectensis,a basal eumetazoan having one of the most primitive nervous systems, we scanned theNematostellaprotein database for sequences displaying structural hallmarks of metazoan neuropeptides, including C/N-terminal structures and modifications. Peptide-spectrum matching was performed against thein silicocleaved peptides and successfully identified dozens of neuropeptides at high confidence. The identification of Nematostella neuropeptides structurally related the tachykinin, GnRH/AKH, neuromedin-U/pyrokinin peptide families indicate that these peptides already originated in the eumetazoan ancestor of all animal species, most likely concomitantly with the development of a nervous system. |
| وصف الملف: | Electronic-eCollection; application/pdf |
| تدمد: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0215185 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb571313f2226850fdf86c5b7bf6980 https://pubmed.ncbi.nlm.nih.gov/31545805 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....4eb571313f2226850fdf86c5b7bf6980 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0215185 |