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Employing DNA metabarcoding to determine the geographical origin of honey

Unfavourable climatic conditions force Iranian beekeepers to translocate over large distances in the course of the year. However, irrespective of the main place of production, the honey is always labeled with the name of the beekeepers' hometown, which leads consequently to mislabeled products....

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Autores principales: Khansaritoreh, Elmira, Salmaki, Yasaman, Ramezani, Elias, Akbari Azirani, Tayebeh, Keller, Alexander, Neumann, Katrin, Alizadeh, Kamaleddin, Zarre, Shahin, Beckh, Gudrun, Behling, Hermann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701183/
https://www.ncbi.nlm.nih.gov/pubmed/33294716
http://dx.doi.org/10.1016/j.heliyon.2020.e05596
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author Khansaritoreh, Elmira
Salmaki, Yasaman
Ramezani, Elias
Akbari Azirani, Tayebeh
Keller, Alexander
Neumann, Katrin
Alizadeh, Kamaleddin
Zarre, Shahin
Beckh, Gudrun
Behling, Hermann
author_facet Khansaritoreh, Elmira
Salmaki, Yasaman
Ramezani, Elias
Akbari Azirani, Tayebeh
Keller, Alexander
Neumann, Katrin
Alizadeh, Kamaleddin
Zarre, Shahin
Beckh, Gudrun
Behling, Hermann
author_sort Khansaritoreh, Elmira
collection PubMed
description Unfavourable climatic conditions force Iranian beekeepers to translocate over large distances in the course of the year. However, irrespective of the main place of production, the honey is always labeled with the name of the beekeepers' hometown, which leads consequently to mislabeled products. The present study investigates the capability of DNA metabarcoding to locate the geographical origin of honey. The molecular markers (ITS2 and rbcL) allowed identification of 926 plant species in studied samples. A comprehensive review of floristic reference books specified 34 key species that could be used to successfully determine the geographical origin in 91.4% of samples. These key species were usually present in honey with tiny amounts and thus, conventional palynology might not be able to detect them. The present investigation indicates that although ITS2 is able to detect more species than rbcL, utilizing a combination of both markers provides more robust evidence of geographical origin.
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spelling pubmed-77011832020-12-07 Employing DNA metabarcoding to determine the geographical origin of honey Khansaritoreh, Elmira Salmaki, Yasaman Ramezani, Elias Akbari Azirani, Tayebeh Keller, Alexander Neumann, Katrin Alizadeh, Kamaleddin Zarre, Shahin Beckh, Gudrun Behling, Hermann Heliyon Research Article Unfavourable climatic conditions force Iranian beekeepers to translocate over large distances in the course of the year. However, irrespective of the main place of production, the honey is always labeled with the name of the beekeepers' hometown, which leads consequently to mislabeled products. The present study investigates the capability of DNA metabarcoding to locate the geographical origin of honey. The molecular markers (ITS2 and rbcL) allowed identification of 926 plant species in studied samples. A comprehensive review of floristic reference books specified 34 key species that could be used to successfully determine the geographical origin in 91.4% of samples. These key species were usually present in honey with tiny amounts and thus, conventional palynology might not be able to detect them. The present investigation indicates that although ITS2 is able to detect more species than rbcL, utilizing a combination of both markers provides more robust evidence of geographical origin. Elsevier 2020-11-25 /pmc/articles/PMC7701183/ /pubmed/33294716 http://dx.doi.org/10.1016/j.heliyon.2020.e05596 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Khansaritoreh, Elmira
Salmaki, Yasaman
Ramezani, Elias
Akbari Azirani, Tayebeh
Keller, Alexander
Neumann, Katrin
Alizadeh, Kamaleddin
Zarre, Shahin
Beckh, Gudrun
Behling, Hermann
Employing DNA metabarcoding to determine the geographical origin of honey
title Employing DNA metabarcoding to determine the geographical origin of honey
title_full Employing DNA metabarcoding to determine the geographical origin of honey
title_fullStr Employing DNA metabarcoding to determine the geographical origin of honey
title_full_unstemmed Employing DNA metabarcoding to determine the geographical origin of honey
title_short Employing DNA metabarcoding to determine the geographical origin of honey
title_sort employing dna metabarcoding to determine the geographical origin of honey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701183/
https://www.ncbi.nlm.nih.gov/pubmed/33294716
http://dx.doi.org/10.1016/j.heliyon.2020.e05596
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