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Population‐level inferences from environmental DNA—Current status and future perspectives

Environmental DNA (eDNA) extracted from water samples has recently shown potential as a valuable source of population genetic information for aquatic macroorganisms. This approach offers several potential advantages compared with conventional tissue‐based methods, including the fact that eDNA sampli...

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Autores principales: Sigsgaard, Eva Egelyng, Jensen, Mads Reinholdt, Winkelmann, Inger Eleanor, Møller, Peter Rask, Hansen, Michael Møller, Thomsen, Philip Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976968/
https://www.ncbi.nlm.nih.gov/pubmed/31993074
http://dx.doi.org/10.1111/eva.12882
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author Sigsgaard, Eva Egelyng
Jensen, Mads Reinholdt
Winkelmann, Inger Eleanor
Møller, Peter Rask
Hansen, Michael Møller
Thomsen, Philip Francis
author_facet Sigsgaard, Eva Egelyng
Jensen, Mads Reinholdt
Winkelmann, Inger Eleanor
Møller, Peter Rask
Hansen, Michael Møller
Thomsen, Philip Francis
author_sort Sigsgaard, Eva Egelyng
collection PubMed
description Environmental DNA (eDNA) extracted from water samples has recently shown potential as a valuable source of population genetic information for aquatic macroorganisms. This approach offers several potential advantages compared with conventional tissue‐based methods, including the fact that eDNA sampling is noninvasive and generally more cost‐efficient. Currently, eDNA approaches have been limited to single‐marker studies of mitochondrial DNA (mtDNA), and the relationship between eDNA haplotype composition and true haplotype composition still needs to be thoroughly verified. This will require testing of bioinformatic and statistical software to correct for erroneous sequences, as well as biases and random variation in relative sequence abundances. However, eDNA‐based population genetic methods have far‐reaching potential for both basic and applied research. In this paper, we present a brief overview of the achievements of eDNA‐based population genetics to date, and outline the prospects for future developments in the field, including the estimation of nuclear DNA (nuDNA) variation and epigenetic information. We discuss the challenges associated with eDNA samples as opposed to those of individual tissue samples and assess whether eDNA might offer additional types of information unobtainable with tissue samples. Lastly, we provide recommendations for determining whether an eDNA approach would be a useful and suitable choice in different research settings. We limit our discussion largely to contemporary aquatic systems, but the advantages, challenges, and perspectives can to a large degree be generalized to eDNA studies with a different spatial and temporal focus.
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spelling pubmed-69769682020-01-28 Population‐level inferences from environmental DNA—Current status and future perspectives Sigsgaard, Eva Egelyng Jensen, Mads Reinholdt Winkelmann, Inger Eleanor Møller, Peter Rask Hansen, Michael Møller Thomsen, Philip Francis Evol Appl Reviews and Syntheses Environmental DNA (eDNA) extracted from water samples has recently shown potential as a valuable source of population genetic information for aquatic macroorganisms. This approach offers several potential advantages compared with conventional tissue‐based methods, including the fact that eDNA sampling is noninvasive and generally more cost‐efficient. Currently, eDNA approaches have been limited to single‐marker studies of mitochondrial DNA (mtDNA), and the relationship between eDNA haplotype composition and true haplotype composition still needs to be thoroughly verified. This will require testing of bioinformatic and statistical software to correct for erroneous sequences, as well as biases and random variation in relative sequence abundances. However, eDNA‐based population genetic methods have far‐reaching potential for both basic and applied research. In this paper, we present a brief overview of the achievements of eDNA‐based population genetics to date, and outline the prospects for future developments in the field, including the estimation of nuclear DNA (nuDNA) variation and epigenetic information. We discuss the challenges associated with eDNA samples as opposed to those of individual tissue samples and assess whether eDNA might offer additional types of information unobtainable with tissue samples. Lastly, we provide recommendations for determining whether an eDNA approach would be a useful and suitable choice in different research settings. We limit our discussion largely to contemporary aquatic systems, but the advantages, challenges, and perspectives can to a large degree be generalized to eDNA studies with a different spatial and temporal focus. John Wiley and Sons Inc. 2019-11-18 /pmc/articles/PMC6976968/ /pubmed/31993074 http://dx.doi.org/10.1111/eva.12882 Text en © 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews and Syntheses
Sigsgaard, Eva Egelyng
Jensen, Mads Reinholdt
Winkelmann, Inger Eleanor
Møller, Peter Rask
Hansen, Michael Møller
Thomsen, Philip Francis
Population‐level inferences from environmental DNA—Current status and future perspectives
title Population‐level inferences from environmental DNA—Current status and future perspectives
title_full Population‐level inferences from environmental DNA—Current status and future perspectives
title_fullStr Population‐level inferences from environmental DNA—Current status and future perspectives
title_full_unstemmed Population‐level inferences from environmental DNA—Current status and future perspectives
title_short Population‐level inferences from environmental DNA—Current status and future perspectives
title_sort population‐level inferences from environmental dna—current status and future perspectives
topic Reviews and Syntheses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976968/
https://www.ncbi.nlm.nih.gov/pubmed/31993074
http://dx.doi.org/10.1111/eva.12882
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