Identification and quantification of honeybee venom constituents by multiplatform metabolomics

Abstract 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 metaboli...

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Main Authors: Agnieszka Klupczynska, Szymon Plewa, Paweł Dereziński, Timothy J. Garrett, Vanessa Y. Rubio, Zenon J. Kokot, Jan Matysiak
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-78740-1
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spelling doaj-ab5a2c0bdf7d40cc9533c5c7d645f3fd2020-12-13T12:33:22ZengNature Publishing GroupScientific Reports2045-23222020-12-0110111110.1038/s41598-020-78740-1Identification and quantification of honeybee venom constituents by multiplatform metabolomicsAgnieszka Klupczynska0Szymon Plewa1Paweł Dereziński2Timothy J. Garrett3Vanessa Y. Rubio4Zenon J. Kokot5Jan Matysiak6Department of Inorganic and Analytical Chemistry, Poznan University of Medical SciencesDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical SciencesDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical SciencesDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of FloridaDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of FloridaFaculty of Health Sciences, Calisia University – Kalisz, PolandDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical SciencesAbstract 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.https://doi.org/10.1038/s41598-020-78740-1
collection DOAJ
language English
format Article
sources DOAJ
author Agnieszka Klupczynska
Szymon Plewa
Paweł Dereziński
Timothy J. Garrett
Vanessa Y. Rubio
Zenon J. Kokot
Jan Matysiak
spellingShingle Agnieszka Klupczynska
Szymon Plewa
Paweł Dereziński
Timothy J. Garrett
Vanessa Y. Rubio
Zenon J. Kokot
Jan Matysiak
Identification and quantification of honeybee venom constituents by multiplatform metabolomics
Scientific Reports
author_facet Agnieszka Klupczynska
Szymon Plewa
Paweł Dereziński
Timothy J. Garrett
Vanessa Y. Rubio
Zenon J. Kokot
Jan Matysiak
author_sort Agnieszka Klupczynska
title Identification and quantification of honeybee venom constituents by multiplatform metabolomics
title_short 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_sort identification and quantification of honeybee venom constituents by multiplatform metabolomics
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2020-12-01
description Abstract 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.
url https://doi.org/10.1038/s41598-020-78740-1
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