Comparing eDNA metabarcoding and conventional pelagic netting to inform biodiversity monitoring in deep ocean environments
Permanent lenke
https://hdl.handle.net/10037/31727Dato
2023-11-09Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Cote, D.; McClenaghan, B.; Desforges, J; Fahner, N.A.; Hajibabaei, M.; Chawarski, J.; Roul, S.; Singer, G.; Aubry, C.; Geoffroy, MaximeSammendrag
The 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.
Forlag
Oxford University PressSitering
Cote 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. 2023Metadata
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