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Remote, autonomous real-time monitoring of environmental DNA from commercial fish

Environmental DNA (eDNA) is increasingly used for monitoring marine organisms; however, offshore sampling and time lag from sampling to results remain problematic. In order to overcome these challenges a robotic sampler, a 2nd generation Environmental Sample Processor (ESP), was tested for autonomou...

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Autores principales: Hansen, Brian K., Jacobsen, Magnus W., Middelboe, Anne Lise, Preston, Christina M., Marin, Roman, Bekkevold, Dorte, Knudsen, Steen W., Møller, Peter R., Nielsen, Einar E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413362/
https://www.ncbi.nlm.nih.gov/pubmed/32764624
http://dx.doi.org/10.1038/s41598-020-70206-8
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author Hansen, Brian K.
Jacobsen, Magnus W.
Middelboe, Anne Lise
Preston, Christina M.
Marin, Roman
Bekkevold, Dorte
Knudsen, Steen W.
Møller, Peter R.
Nielsen, Einar E.
author_facet Hansen, Brian K.
Jacobsen, Magnus W.
Middelboe, Anne Lise
Preston, Christina M.
Marin, Roman
Bekkevold, Dorte
Knudsen, Steen W.
Møller, Peter R.
Nielsen, Einar E.
author_sort Hansen, Brian K.
collection PubMed
description Environmental DNA (eDNA) is increasingly used for monitoring marine organisms; however, offshore sampling and time lag from sampling to results remain problematic. In order to overcome these challenges a robotic sampler, a 2nd generation Environmental Sample Processor (ESP), was tested for autonomous analysis of eDNA from four commercial fish species in a 4.5 million liter mesocosm. The ESP enabled in situ analysis, consisting of water collection, filtration, DNA extraction and qPCR analysis, which allowed for real-time remote reporting and archival sample collection, consisting of water collection, filtration and chemical preservation followed by post-deployment laboratory analysis. The results demonstrate that the 2G ESP was able to consistently detect and quantify target molecules from the most abundant species (Atlantic mackerel) both in real-time and from the archived samples. In contrast, detection of low abundant species was challenged by both biological and technical aspects coupled to the ecology of eDNA and the 2G ESP instrumentation. Comparison of the in situ analysis and archival samples demonstrated variance, which potentially was linked to diel migration patterns of the Atlantic mackerel. The study demonstrates strong potential for remote autonomous in situ monitoring which open new possibilities for the field of eDNA and marine monitoring.
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spelling pubmed-74133622020-08-10 Remote, autonomous real-time monitoring of environmental DNA from commercial fish Hansen, Brian K. Jacobsen, Magnus W. Middelboe, Anne Lise Preston, Christina M. Marin, Roman Bekkevold, Dorte Knudsen, Steen W. Møller, Peter R. Nielsen, Einar E. Sci Rep Article Environmental DNA (eDNA) is increasingly used for monitoring marine organisms; however, offshore sampling and time lag from sampling to results remain problematic. In order to overcome these challenges a robotic sampler, a 2nd generation Environmental Sample Processor (ESP), was tested for autonomous analysis of eDNA from four commercial fish species in a 4.5 million liter mesocosm. The ESP enabled in situ analysis, consisting of water collection, filtration, DNA extraction and qPCR analysis, which allowed for real-time remote reporting and archival sample collection, consisting of water collection, filtration and chemical preservation followed by post-deployment laboratory analysis. The results demonstrate that the 2G ESP was able to consistently detect and quantify target molecules from the most abundant species (Atlantic mackerel) both in real-time and from the archived samples. In contrast, detection of low abundant species was challenged by both biological and technical aspects coupled to the ecology of eDNA and the 2G ESP instrumentation. Comparison of the in situ analysis and archival samples demonstrated variance, which potentially was linked to diel migration patterns of the Atlantic mackerel. The study demonstrates strong potential for remote autonomous in situ monitoring which open new possibilities for the field of eDNA and marine monitoring. Nature Publishing Group UK 2020-08-06 /pmc/articles/PMC7413362/ /pubmed/32764624 http://dx.doi.org/10.1038/s41598-020-70206-8 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
Hansen, Brian K.
Jacobsen, Magnus W.
Middelboe, Anne Lise
Preston, Christina M.
Marin, Roman
Bekkevold, Dorte
Knudsen, Steen W.
Møller, Peter R.
Nielsen, Einar E.
Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title_full Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title_fullStr Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title_full_unstemmed Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title_short Remote, autonomous real-time monitoring of environmental DNA from commercial fish
title_sort remote, autonomous real-time monitoring of environmental dna from commercial fish
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413362/
https://www.ncbi.nlm.nih.gov/pubmed/32764624
http://dx.doi.org/10.1038/s41598-020-70206-8
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