Abstract
Effective biomonitoring is critical for driving management outcomes that ensure long-term sustainability of the marine environment. In recent years, environmental DNA (eDNA), coupled with metabarcoding methodologies, has emerged as a promising tool for generating biotic surveys of marine ecosystems, including those under anthropogenic pressure. However, more empirical data are needed on how to best implement eDNA field sampling approaches to maximize their utility for each specific application. The effect of the substrate chosen for eDNA sampling on the diversity of marine taxa detected by DNA metabarcoding has not yet been systematically analysed, despite aquatic systems being those most commonly targeted for eDNA studies. We investigated the effect of four commonly used eDNA substrates to explore taxonomic diversity: (a) surface water, (b) marine sediment, (c) settlement plates and (d) planktonic tows. With a focus on coastal ports, 332 eDNA samples from Australia (Indian and Southern oceans) and Kazakhstan (Caspian Sea) were collected and analysed by multi-assay DNA metabarcoding. Across study locations, between 30% and 52% of eukaryotic families detected were unique to a particular substrate and
Original language | English |
---|---|
Pages (from-to) | 366-376 |
Number of pages | 11 |
Journal | Molecular Ecology Resources |
Volume | 19 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 2019 |
Fingerprint
Dive into the research topics of 'Environmental DNA metabarcoding studies are critically affected by substrate selection'. Together they form a unique fingerprint.Datasets
-
Data from: Environmental DNA metabarcoding studies are critically affected by substrate selection
Koziol, A. (Creator), Stat, M. (Creator), Simpson, T. (Creator), Jarman, S. (Creator), DiBattista, J. D. (Creator), Harvey, E. S. (Creator), Marnane, M. (Creator), McDonald, J. (Creator) & Bunce, M. (Creator), DRYAD, 27 Nov 2018
DOI: 10.5061/dryad.4d3f4g3, https://doi.org/10.5061%2Fdryad.4d3f4g3 and one more link, https://zenodo.org/record/5014903 (show fewer)
Dataset