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Identification and quantification of honeybee venom constituents by multiplatform metabolomics

Honeybee (Apis mellifera) venom (HBV) has been a subject of extensive proteomics research; however, scarce information on its metabolite composition can be found in the literature. The aim of the study was to identify and quantify the metabolites present in HBV. To gain the highest metabolite covera...

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Autores principales: Klupczynska, Agnieszka, Plewa, Szymon, Dereziński, Paweł, Garrett, Timothy J., Rubio, Vanessa Y., Kokot, Zenon J., Matysiak, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729905/
https://www.ncbi.nlm.nih.gov/pubmed/33303913
http://dx.doi.org/10.1038/s41598-020-78740-1
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author Klupczynska, Agnieszka
Plewa, Szymon
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Kokot, Zenon J.
Matysiak, Jan
author_facet Klupczynska, Agnieszka
Plewa, Szymon
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Kokot, Zenon J.
Matysiak, Jan
author_sort Klupczynska, Agnieszka
collection PubMed
description Honeybee (Apis mellifera) venom (HBV) has been a subject of extensive proteomics research; however, scarce information on its metabolite composition can be found in the literature. The aim of the study was to identify and quantify the metabolites present in HBV. To gain the highest metabolite coverage, three different mass spectrometry (MS)-based methodologies were applied. In the first step, untargeted metabolomics was used, which employed high-resolution, accurate-mass Orbitrap MS. It allowed obtaining a broad overview of HBV metabolic components. Then, two targeted metabolomics approaches, which employed triple quadrupole MS, were applied to quantify metabolites in HBV samples. The untargeted metabolomics not only confirmed the presence of amines, amino acids, carbohydrates, and organic acids in HBV, but also provided information on venom components from other metabolite classes (e.g., nucleosides, alcohols, purine and pyrimidine derivatives). The combination of three MS-based metabolomics platforms facilitated the identification of 214 metabolites in HBV samples, among which 138 were quantified. The obtaining of the wide free amino acid profiles of HBV is one of the project’s achievements. Our study contributed significantly to broadening the knowledge about HBV composition and should be continued to obtain the most comprehensive metabolite profile of HBV.
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spelling pubmed-77299052020-12-14 Identification and quantification of honeybee venom constituents by multiplatform metabolomics Klupczynska, Agnieszka Plewa, Szymon Dereziński, Paweł Garrett, Timothy J. Rubio, Vanessa Y. Kokot, Zenon J. Matysiak, Jan Sci Rep Article Honeybee (Apis mellifera) venom (HBV) has been a subject of extensive proteomics research; however, scarce information on its metabolite composition can be found in the literature. The aim of the study was to identify and quantify the metabolites present in HBV. To gain the highest metabolite coverage, three different mass spectrometry (MS)-based methodologies were applied. In the first step, untargeted metabolomics was used, which employed high-resolution, accurate-mass Orbitrap MS. It allowed obtaining a broad overview of HBV metabolic components. Then, two targeted metabolomics approaches, which employed triple quadrupole MS, were applied to quantify metabolites in HBV samples. The untargeted metabolomics not only confirmed the presence of amines, amino acids, carbohydrates, and organic acids in HBV, but also provided information on venom components from other metabolite classes (e.g., nucleosides, alcohols, purine and pyrimidine derivatives). The combination of three MS-based metabolomics platforms facilitated the identification of 214 metabolites in HBV samples, among which 138 were quantified. The obtaining of the wide free amino acid profiles of HBV is one of the project’s achievements. Our study contributed significantly to broadening the knowledge about HBV composition and should be continued to obtain the most comprehensive metabolite profile of HBV. Nature Publishing Group UK 2020-12-10 /pmc/articles/PMC7729905/ /pubmed/33303913 http://dx.doi.org/10.1038/s41598-020-78740-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Klupczynska, Agnieszka
Plewa, Szymon
Dereziński, Paweł
Garrett, Timothy J.
Rubio, Vanessa Y.
Kokot, Zenon J.
Matysiak, Jan
Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_full Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_fullStr Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_full_unstemmed Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_short Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_sort identification and quantification of honeybee venom constituents by multiplatform metabolomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729905/
https://www.ncbi.nlm.nih.gov/pubmed/33303913
http://dx.doi.org/10.1038/s41598-020-78740-1
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