Improving the reliability of eDNA data interpretation
Journal article
Authors | Burian, Alfred, Mauvisseau, Quentin, Bulling, Mark, Domisch, Sami, Qian, Song and Sweet, Michael |
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Abstract | Global declines in biodiversity highlight the need to effectively monitor the density and distribution of threatened species. In recent years, molecular survey methods detecting DNA released by target‐species into their environment (eDNA) have been rapidly on the rise. Despite providing new, cost‐effective tools for conservation, eDNA‐based methods are prone to errors. Best field and laboratory practices can mitigate some, but the risks of errors cannot be eliminated and need to be accounted for. Here, we synthesize recent advances in data processing tools that increase the reliability of interpretations drawn from eDNA data. We review advances in occupancy models to consider spatial data‐structures and simultaneously assess rates of false positive and negative results. Further, we introduce process‐based models and the integration of metabarcoding data as complementing approaches to increase the reliability of target‐species assessments. These tools will be most effective when capitalizing on multi‐source data sets collating eDNA with classical survey and citizen‐science approaches, paving the way for more robust decision‐making processes in conservation planning. |
Keywords | Biotechnology; Genetics; Ecology, Evolution, Behavior and Systematics; eDNA |
Year | 2021 |
Journal | Molecular Ecology Resources |
Journal citation | 21, p. 1422–1433. |
Publisher | Wiley |
ISSN | 1755-098X |
1755-0998 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/1755-0998.13367 |
Web address (URL) | https://onlinelibrary.wiley.com/doi/full/10.1111/1755-0998.13367 |
hdl:10545/625716 | |
Output status | Published |
Publication dates | 02 Mar 2021 |
Publication process dates | |
Deposited | 16 Apr 2021, 09:15 |
Accepted | 24 Feb 2021 |
Contributors | University of Derby, Marine Ecology Department, Lurio University, Nampula, Mozambique, Helmholtz Centre for Environmental Research, Leipzig, Germany, Natural History Museum, University of Oslo, Oslo, Norway, Leibniz‐Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany and University of Toledo, Toledo, OH, USA |
File | File Access Level Restricted |
File | License File Access Level Open |
https://repository.derby.ac.uk/item/94v4z/improving-the-reliability-of-edna-data-interpretation
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