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Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey

Accurate identification of the botanical components of honey can be used to establish its geographical provenance, while also providing insights into honeybee (Apis mellifera L.) diet and foraging preferences. DNA metabarcoding has been demonstrated as a robust method to identify plant species from...

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Autores principales: Milla, Liz, Sniderman, Kale, Lines, Rose, Mousavi‐Derazmahalleh, Mahsa, Encinas‐Viso, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258210/
https://www.ncbi.nlm.nih.gov/pubmed/34257922
http://dx.doi.org/10.1002/ece3.7679
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author Milla, Liz
Sniderman, Kale
Lines, Rose
Mousavi‐Derazmahalleh, Mahsa
Encinas‐Viso, Francisco
author_facet Milla, Liz
Sniderman, Kale
Lines, Rose
Mousavi‐Derazmahalleh, Mahsa
Encinas‐Viso, Francisco
author_sort Milla, Liz
collection PubMed
description Accurate identification of the botanical components of honey can be used to establish its geographical provenance, while also providing insights into honeybee (Apis mellifera L.) diet and foraging preferences. DNA metabarcoding has been demonstrated as a robust method to identify plant species from pollen and pollen‐based products, including honey. We investigated the use of pollen metabarcoding to identify the floral sources and local foraging preferences of honeybees using 15 honey samples from six bioregions from eastern and western Australia. We used two plant metabarcoding markers, ITS2 and the trnL P6 loop. Both markers combined identified a total of 55 plant families, 67 genera, and 43 species. The trnL P6 loop marker provided significantly higher detection of taxa, detecting an average of 15.6 taxa per sample, compared to 4.6 with ITS2. Most honeys were dominated by Eucalyptus and other Myrtaceae species, with a few honeys dominated by Macadamia (Proteaceae) and Fabaceae. Metabarcoding detected the nominal primary source provided by beekeepers among the top five most abundant taxa for 85% of samples. We found that eastern and western honeys could be clearly differentiated by their floral composition, and clustered into bioregions with the trnL marker. Comparison with previous results obtained from melissopalynology shows that metabarcoding can detect similar numbers of plant families and genera, but provides significantly higher resolution at species level. Our results show that pollen DNA metabarcoding is a powerful and robust method for detecting honey provenance and examining the diet of honeybees. This is particularly relevant for hives foraging on the unique and diverse flora of the Australian continent, with the potential to be used as a novel monitoring tool for honeybee floral resources.
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spelling pubmed-82582102021-07-12 Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey Milla, Liz Sniderman, Kale Lines, Rose Mousavi‐Derazmahalleh, Mahsa Encinas‐Viso, Francisco Ecol Evol Original Research Accurate identification of the botanical components of honey can be used to establish its geographical provenance, while also providing insights into honeybee (Apis mellifera L.) diet and foraging preferences. DNA metabarcoding has been demonstrated as a robust method to identify plant species from pollen and pollen‐based products, including honey. We investigated the use of pollen metabarcoding to identify the floral sources and local foraging preferences of honeybees using 15 honey samples from six bioregions from eastern and western Australia. We used two plant metabarcoding markers, ITS2 and the trnL P6 loop. Both markers combined identified a total of 55 plant families, 67 genera, and 43 species. The trnL P6 loop marker provided significantly higher detection of taxa, detecting an average of 15.6 taxa per sample, compared to 4.6 with ITS2. Most honeys were dominated by Eucalyptus and other Myrtaceae species, with a few honeys dominated by Macadamia (Proteaceae) and Fabaceae. Metabarcoding detected the nominal primary source provided by beekeepers among the top five most abundant taxa for 85% of samples. We found that eastern and western honeys could be clearly differentiated by their floral composition, and clustered into bioregions with the trnL marker. Comparison with previous results obtained from melissopalynology shows that metabarcoding can detect similar numbers of plant families and genera, but provides significantly higher resolution at species level. Our results show that pollen DNA metabarcoding is a powerful and robust method for detecting honey provenance and examining the diet of honeybees. This is particularly relevant for hives foraging on the unique and diverse flora of the Australian continent, with the potential to be used as a novel monitoring tool for honeybee floral resources. John Wiley and Sons Inc. 2021-06-03 /pmc/articles/PMC8258210/ /pubmed/34257922 http://dx.doi.org/10.1002/ece3.7679 Text en © 2021 Commonwealth Scientific and Industrial Research Organisation. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Milla, Liz
Sniderman, Kale
Lines, Rose
Mousavi‐Derazmahalleh, Mahsa
Encinas‐Viso, Francisco
Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title_full Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title_fullStr Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title_full_unstemmed Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title_short Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey
title_sort pollen dna metabarcoding identifies regional provenance and high plant diversity in australian honey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258210/
https://www.ncbi.nlm.nih.gov/pubmed/34257922
http://dx.doi.org/10.1002/ece3.7679
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