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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....
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7701183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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