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

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          Abstract

          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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          Most cited references162

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          Genome sequence of the nematode C. elegans: a platform for investigating biology.

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          The 97-megabase genomic sequence of the nematode Caenorhabditis elegans reveals over 19,000 genes. More than 40 percent of the predicted protein products find significant matches in other organisms. There is a variety of repeated sequences, both local and dispersed. The distinctive distribution of some repeats and highly conserved genes provides evidence for a regional organization of the chromosomes.
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            Molecular signatures of natural selection.

            There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. The interest stems from a basic desire to learn more about evolutionary processes in humans and other organisms, and from the realization that inferences regarding selection may provide important functional information. This review provides a nonmathematical description of the issues involved in detecting selection from DNA sequences and SNP data and is intended for readers who are not familiar with population genetic theory. Particular attention is placed on issues relating to the analysis of large-scale genomic data sets.
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              Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.

              Linkage disequilibrium--the nonrandom association of alleles at different loci--is a sensitive indicator of the population genetic forces that structure a genome. Because of the explosive growth of methods for assessing genetic variation at a fine scale, evolutionary biologists and human geneticists are increasingly exploiting linkage disequilibrium in order to understand past evolutionary and demographic events, to map genes that are associated with quantitative characters and inherited diseases, and to understand the joint evolution of linked sets of genes. This article introduces linkage disequilibrium, reviews the population genetic processes that affect it and describes some of its uses. At present, linkage disequilibrium is used much more extensively in the study of humans than in non-humans, but that is changing as technological advances make extensive genomic studies feasible in other species.
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                Author and article information

                Contributors
                eva.sigsgaard@bios.au.dk
                Journal
                Evol Appl
                Evol Appl
                10.1111/(ISSN)1752-4571
                EVA
                Evolutionary Applications
                John Wiley and Sons Inc. (Hoboken )
                1752-4571
                18 November 2019
                February 2020
                : 13
                : 2 ( doiID: 10.1111/eva.v13.2 )
                : 245-262
                Affiliations
                [ 1 ] Department of Bioscience Aarhus University Aarhus C Denmark
                [ 2 ] Natural History Museum of Denmark University of Copenhagen Copenhagen Ø Denmark
                Author notes
                [*] [* ] Correspondence

                Eva Egelyng Sigsgaard, Department of Bioscience, Aarhus University, Aarhus C, Denmark.

                Email: eva.sigsgaard@ 123456bios.au.dk

                Author information
                https://orcid.org/0000-0002-9396-1550
                https://orcid.org/0000-0001-8240-1083
                https://orcid.org/0000-0002-5010-3169
                https://orcid.org/0000-0002-0177-0977
                https://orcid.org/0000-0001-5372-4828
                https://orcid.org/0000-0002-9867-4366
                Article
                EVA12882
                10.1111/eva.12882
                6976968
                31993074
                f0eddf4d-bb39-4f1e-928f-291c27c1020e
                © 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.

                History
                : 22 February 2019
                : 07 October 2019
                Page count
                Figures: 1, Tables: 1, Pages: 18, Words: 17054
                Funding
                Funded by: Science and Technology, University of Aarhus
                Funded by: Carlsberg Foundation , open-funder-registry 10.13039/501100002808;
                Categories
                Reviews and Syntheses
                Reviews and Syntheses
                Custom metadata
                2.0
                February 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.5 mode:remove_FC converted:23.01.2020

                Evolutionary Biology
                aquatic,environmental dna,high‐throughput sequencing,noninvasive sampling,population genomics

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