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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8258210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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