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dc.contributor.authorHansen, Brian K
dc.contributor.authorJacobsen, Magnus W
dc.contributor.authorMiddelboe, Anne Lise
dc.contributor.authorPreston, Christina M.
dc.contributor.authorMarin III, Roman
dc.contributor.authorBekkevold, Dorte
dc.contributor.authorKnudsen, Steen Wilhelm
dc.contributor.authorMøller, Peter R.
dc.contributor.authorNielsen, Einar E
dc.date.accessioned2020-09-18T08:32:33Z
dc.date.available2020-09-18T08:32:33Z
dc.date.created2020-09-14T09:47:56Z
dc.date.issued2020
dc.identifier.citationScientific Reports. 2020, 10, 13272.en_US
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/2678420
dc.description.abstractEnvironmental 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.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleRemote, autonomous real‑time monitoring of environmental DNA from commercial fishen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume10en_US
dc.source.journalScientific Reportsen_US
dc.identifier.doi10.1038/s41598-020-70206-8
dc.identifier.cristin1829549
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal