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DNA traces the origin of honey by identifying plants, bacteria and fungi
The regional origin of a food product commonly affects its value. To this, DNA-based identification of tissue remains could offer fine resolution. For honey, this would allow the usage of not only pollen but all plant tissue, and also that of microbes in the product, for discerning the origin. Here...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910293/ https://www.ncbi.nlm.nih.gov/pubmed/33637887 http://dx.doi.org/10.1038/s41598-021-84174-0 |
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author | Wirta, Helena Abrego, Nerea Miller, Kirsten Roslin, Tomas Vesterinen, Eero |
author_facet | Wirta, Helena Abrego, Nerea Miller, Kirsten Roslin, Tomas Vesterinen, Eero |
author_sort | Wirta, Helena |
collection | PubMed |
description | The regional origin of a food product commonly affects its value. To this, DNA-based identification of tissue remains could offer fine resolution. For honey, this would allow the usage of not only pollen but all plant tissue, and also that of microbes in the product, for discerning the origin. Here we examined how plant, bacterial and fungal taxa identified by DNA metabarcoding and metagenomics differentiate between honey samples from three neighbouring countries. To establish how the taxonomic contents of honey reflect the country of origin, we used joint species distribution modelling. At the lowest taxonomic level by metabarcoding, with operational taxonomic units, the country of origin explained the majority of variation in the data (70–79%), with plant and fungal gene regions providing the clearest distinction between countries. At the taxonomic level of genera, plants provided the most separation between countries with both metabarcoding and metagenomics. The DNA-based methods distinguish the countries more than the morphological pollen identification and the removal of pollen has only a minor effect on taxonomic recovery by DNA. As we find good resolution among honeys from regions with similar biota, DNA-based methods hold great promise for resolving honey origins among more different regions. |
format | Online Article Text |
id | pubmed-7910293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79102932021-03-02 DNA traces the origin of honey by identifying plants, bacteria and fungi Wirta, Helena Abrego, Nerea Miller, Kirsten Roslin, Tomas Vesterinen, Eero Sci Rep Article The regional origin of a food product commonly affects its value. To this, DNA-based identification of tissue remains could offer fine resolution. For honey, this would allow the usage of not only pollen but all plant tissue, and also that of microbes in the product, for discerning the origin. Here we examined how plant, bacterial and fungal taxa identified by DNA metabarcoding and metagenomics differentiate between honey samples from three neighbouring countries. To establish how the taxonomic contents of honey reflect the country of origin, we used joint species distribution modelling. At the lowest taxonomic level by metabarcoding, with operational taxonomic units, the country of origin explained the majority of variation in the data (70–79%), with plant and fungal gene regions providing the clearest distinction between countries. At the taxonomic level of genera, plants provided the most separation between countries with both metabarcoding and metagenomics. The DNA-based methods distinguish the countries more than the morphological pollen identification and the removal of pollen has only a minor effect on taxonomic recovery by DNA. As we find good resolution among honeys from regions with similar biota, DNA-based methods hold great promise for resolving honey origins among more different regions. Nature Publishing Group UK 2021-02-26 /pmc/articles/PMC7910293/ /pubmed/33637887 http://dx.doi.org/10.1038/s41598-021-84174-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wirta, Helena Abrego, Nerea Miller, Kirsten Roslin, Tomas Vesterinen, Eero DNA traces the origin of honey by identifying plants, bacteria and fungi |
title | DNA traces the origin of honey by identifying plants, bacteria and fungi |
title_full | DNA traces the origin of honey by identifying plants, bacteria and fungi |
title_fullStr | DNA traces the origin of honey by identifying plants, bacteria and fungi |
title_full_unstemmed | DNA traces the origin of honey by identifying plants, bacteria and fungi |
title_short | DNA traces the origin of honey by identifying plants, bacteria and fungi |
title_sort | dna traces the origin of honey by identifying plants, bacteria and fungi |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910293/ https://www.ncbi.nlm.nih.gov/pubmed/33637887 http://dx.doi.org/10.1038/s41598-021-84174-0 |
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