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dc.contributor.authorCote, D.
dc.contributor.authorMcClenaghan, B.
dc.contributor.authorDesforges, J
dc.contributor.authorFahner, N.A.
dc.contributor.authorHajibabaei, M.
dc.contributor.authorChawarski, J.
dc.contributor.authorRoul, S.
dc.contributor.authorSinger, G.
dc.contributor.authorAubry, C.
dc.contributor.authorGeoffroy, Maxime
dc.date.accessioned2023-11-13T09:00:02Z
dc.date.available2023-11-13T09:00:02Z
dc.date.issued2023-11-09
dc.description.abstractThe performance of environmental DNA (eDNA) metabarcoding has rarely been evaluated against conventional sampling methods in deep ocean mesopelagic environments. We assessed the biodiversity patterns generated with eDNA and two co-located conventional methods, oblique midwater trawls and vertical multinets, to compare regional and sample-level diversity. We then assessed the concordance of ecological patterns across water column habitats and evaluated how DNA markers and the level of sampling effort influenced the inferred community. We found eDNA metabarcoding characterized regional diversity well, detecting more taxa while identifying similar ecological patterns as conventional samples. Within sampling locations, eDNA metabarcoding rarely detected taxa across more than one replicate. While more taxa were found in eDNA than oblique midwater trawls within sample stations, fewer were found compared to vertical multinets. Our simulations show greater eDNA sampling effort would improve concordance with conventional methods. We also observed that using taxonomic data from multiple markers generated ecological patterns most similar to those observed with conventional methods. Patterns observed with Exact Sequence Variants were more stable across markers suggesting they are more powerful for detecting change. eDNA metabarcoding is a valuable tool for identifying and monitoring biological hotspots but some methodological adjustments are recommended for deep ocean environments.en_US
dc.identifier.citationCote D, McClenaghan B, Desforges J, Fahner, Hajibabaei, Chawarski, Roul, Singer, Aubry, Geoffroy M. Comparing eDNA metabarcoding and conventional pelagic netting to inform biodiversity monitoring in deep ocean environments. ICES Journal of Marine Science. 2023en_US
dc.identifier.cristinIDFRIDAID 2195055
dc.identifier.doi10.1093/icesjms/fsad169
dc.identifier.issn1054-3139
dc.identifier.issn1095-9289
dc.identifier.urihttps://hdl.handle.net/10037/31727
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.relation.journalICES Journal of Marine Science
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleComparing eDNA metabarcoding and conventional pelagic netting to inform biodiversity monitoring in deep ocean environmentsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)