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Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity

Honey bees are large-scale monitoring tools due to their extensive environmental exploration. In their activities and from the hive ecosystem complex, they get in close contact with many organisms whose traces can be transferred into the honey, which can represent an interesting reservoir of environ...

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Autores principales: Bovo, Samuele, Utzeri, Valerio Joe, Ribani, Anisa, Cabbri, Riccardo, Fontanesi, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283317/
https://www.ncbi.nlm.nih.gov/pubmed/32518251
http://dx.doi.org/10.1038/s41598-020-66127-1
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author Bovo, Samuele
Utzeri, Valerio Joe
Ribani, Anisa
Cabbri, Riccardo
Fontanesi, Luca
author_facet Bovo, Samuele
Utzeri, Valerio Joe
Ribani, Anisa
Cabbri, Riccardo
Fontanesi, Luca
author_sort Bovo, Samuele
collection PubMed
description Honey bees are large-scale monitoring tools due to their extensive environmental exploration. In their activities and from the hive ecosystem complex, they get in close contact with many organisms whose traces can be transferred into the honey, which can represent an interesting reservoir of environmental DNA (eDNA) signatures and information useful to analyse the honey bee hologenome complexity. In this study, we tested a deep shotgun sequencing approach of honey DNA coupled with a specifically adapted bioinformatic pipeline. This methodology was applied to a few honey samples pointing out DNA sequences from 191 organisms spanning different kingdoms or phyla (viruses, bacteria, plants, fungi, protozoans, arthropods, mammals). Bacteria included the largest number of species. These multi-kingdom signatures listed common hive and honey bee gut microorganisms, honey bee pathogens, parasites and pests, which resembled a complex interplay that might provide a general picture of the honey bee pathosphere. Based on the Apis mellifera filamentous virus genome diversity (the most abundant detected DNA source) we obtained information that could define the origin of the honey at the apiary level. Mining Apis mellifera sequences made it possible to identify the honey bee subspecies both at the mitochondrial and nuclear genome levels.
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spelling pubmed-72833172020-06-15 Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity Bovo, Samuele Utzeri, Valerio Joe Ribani, Anisa Cabbri, Riccardo Fontanesi, Luca Sci Rep Article Honey bees are large-scale monitoring tools due to their extensive environmental exploration. In their activities and from the hive ecosystem complex, they get in close contact with many organisms whose traces can be transferred into the honey, which can represent an interesting reservoir of environmental DNA (eDNA) signatures and information useful to analyse the honey bee hologenome complexity. In this study, we tested a deep shotgun sequencing approach of honey DNA coupled with a specifically adapted bioinformatic pipeline. This methodology was applied to a few honey samples pointing out DNA sequences from 191 organisms spanning different kingdoms or phyla (viruses, bacteria, plants, fungi, protozoans, arthropods, mammals). Bacteria included the largest number of species. These multi-kingdom signatures listed common hive and honey bee gut microorganisms, honey bee pathogens, parasites and pests, which resembled a complex interplay that might provide a general picture of the honey bee pathosphere. Based on the Apis mellifera filamentous virus genome diversity (the most abundant detected DNA source) we obtained information that could define the origin of the honey at the apiary level. Mining Apis mellifera sequences made it possible to identify the honey bee subspecies both at the mitochondrial and nuclear genome levels. Nature Publishing Group UK 2020-06-09 /pmc/articles/PMC7283317/ /pubmed/32518251 http://dx.doi.org/10.1038/s41598-020-66127-1 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bovo, Samuele
Utzeri, Valerio Joe
Ribani, Anisa
Cabbri, Riccardo
Fontanesi, Luca
Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title_full Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title_fullStr Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title_full_unstemmed Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title_short Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity
title_sort shotgun sequencing of honey dna can describe honey bee derived environmental signatures and the honey bee hologenome complexity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283317/
https://www.ncbi.nlm.nih.gov/pubmed/32518251
http://dx.doi.org/10.1038/s41598-020-66127-1
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