De novo sequencing of peptides secreted by the skin glands of the Caucasian Green Frog Rana ridibunda

peer-reviewed · Rapid Communications in Mass Spectrometry · 2008

peer-reviewed · Rapid Communications in Mass Spectrometry · 2008. Tatiana Yu. Samgina et al. Amphibian skin glands are known to secrete various types of bioactive peptides. The array of these peptides…
Date 2008-11-30
Type peer-reviewed
Venue Rapid Communications in Mass Spectrometry
Publisher Wiley
Contribution downstream-application
DOI 10.1002/rcm.3759
Citations (OpenAlex) 50
Venue 2-year citedness 1.80

Abstract

Amphibian skin glands are known to secrete various types of bioactive peptides. The array of these peptides is specific for every frog species. The present research deals with the identification of peptides isolated from the skin secretion of the Marsh frog R. ridibunda inhabiting the Kolkhida Canyon of the Caucasian region. The research is based on comprehensive high-performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS) analysis of intact and chemically modified peptides. In particular, an oxidation procedure was applied directly to the crude skin secretion to open S–S loops whereas N-terminal acetylation was additionally carried out for one individual peptide. Sequences were determined by manual interpretation of electron capture dissociation (ECD) and collisionally induced dissociation (CID) tandem mass spectra. A total of 29 peptides were identified in the skin secretion of the Caucasian Marsh frog. The peptide profile is represented with disulfide-containing peptides belonging to the brevinin, esculentin and ranatuerin families, neuropeptides of the bradykinin and bombesin families. Two identified peptides belonging to the ranatuerins are the first peptides of this family discovered in the skin secretions of European frogs. Ten of the identified peptides coincide with those reported earlier for the European Edible frog. Another ten are identical to those found in R. ridubunda from the Moscow region. This fact verifies the described method as being an efficient analytical tool to compare intra- and interspecific variabilities.

Authors

  1. Tatiana Yu. Samgina · Lomonosov Moscow State University, MSU-BIT University
  2. Konstantin A. Artemenko · Lomonosov Moscow State University, Uppsala University
  3. Vladimir Gorshkov · Justus-Liebig-Universität Gießen, Lomonosov Moscow State University, University of Southern Denmark
  4. Sergey V. Ogourtsov · Lomonosov Moscow State University
  5. Roman A. Zubarev · Cornell University, Karolinska Institutet, University of Southern Denmark, Uppsala University
  6. Albert T. Lebedev · Lomonosov Moscow State University, MSU-BIT University

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