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      Environmental DNA illuminates the dark diversity of sharks

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          Abstract

          Environmental DNA reveals unsuspected shark diversity and calls for monitoring and protection of residual populations.

          Abstract

          In the era of “Anthropocene defaunation,” large species are often no longer detected in habitats where they formerly occurred. However, it is unclear whether this apparent missing, or “dark,” diversity of megafauna results from local species extirpations or from failure to detect elusive remaining individuals. We find that despite two orders of magnitude less sampling effort, environmental DNA (eDNA) detects 44% more shark species than traditional underwater visual censuses and baited videos across the New Caledonian archipelago (south-western Pacific). Furthermore, eDNA analysis reveals the presence of previously unobserved shark species in human-impacted areas. Overall, our results highlight a greater prevalence of sharks than described by traditional survey methods in both impacted and wilderness areas. This indicates an urgent need for large-scale eDNA assessments to improve monitoring of threatened and elusive megafauna. Finally, our findings emphasize the need for conservation efforts specifically geared toward the protection of elusive, residual populations.

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          Most cited references39

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          Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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            Environmental DNA for wildlife biology and biodiversity monitoring.

            Extraction and identification of DNA from an environmental sample has proven noteworthy recently in detecting and monitoring not only common species, but also those that are endangered, invasive, or elusive. Particular attributes of so-called environmental DNA (eDNA) analysis render it a potent tool for elucidating mechanistic insights in ecological and evolutionary processes. Foremost among these is an improved ability to explore ecosystem-level processes, the generation of quantitative indices for analyses of species, community diversity, and dynamics, and novel opportunities through the use of time-serial samples and unprecedented sensitivity for detecting rare or difficult-to-sample taxa. Although technical challenges remain, here we examine the current frontiers of eDNA, outline key aspects requiring improvement, and suggest future developments and innovations for research. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              obitools: a unix-inspired software package for DNA metabarcoding.

              DNA metabarcoding offers new perspectives in biodiversity research. This recently developed approach to ecosystem study relies heavily on the use of next-generation sequencing (NGS) and thus calls upon the ability to deal with huge sequence data sets. The obitools package satisfies this requirement thanks to a set of programs specifically designed for analysing NGS data in a DNA metabarcoding context. Their capacity to filter and edit sequences while taking into account taxonomic annotation helps to set up tailor-made analysis pipelines for a broad range of DNA metabarcoding applications, including biodiversity surveys or diet analyses. The obitools package is distributed as an open source software available on the following website: http://metabarcoding.org/obitools. A Galaxy wrapper is available on the GenOuest core facility toolshed: http://toolshed.genouest.org.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                May 2018
                02 May 2018
                : 4
                : 5
                : eaap9661
                Affiliations
                [1 ]IRD (Institut de Recherche pour le Développement), Laboratoire d’Excellence Labex Corail, UMR IRD-UR-CNRS ENTROPIE, Centre IRD de Nouméa, BP A5, 98800 Nouméa Cedex, New Caledonia, France.
                [2 ]MARBEC, UMR IRD-CNRS-UM-IFREMER 9190, Université de Montpellier, Languedoc-Roussillon, 34095 Montpellier Cedex, France.
                [3 ]Ecosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford M5 4WT, UK.
                [4 ]Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø N-9037, Norway.
                [5 ]Marine Sciences Program, Department of Biological Sciences, Florida International University, 3000 Northeast 151st Street, North Miami, FL 33181, USA.
                [6 ]IRD (Institut de Recherche pour le Développement), Laboratoire d’Excellence Labex Corail, UMR IRD-UR-CNRS ENTROPIE, Université de Perpignan, 66860 Perpignan Cedex 9, France.
                [7 ]EPHE, PSL Research University, CNRS, UM, SupAgro, IND, INRA, UMR 5175 CEFE, F- 34293 Montpellier, France.
                [8 ]Wildlife Marine, Perth, Western Australia 6020, Australia.
                [9 ]Department of Environment and Agriculture, Curtin University, Perth, Western Australia 6102, Australia.
                [10 ]School of Life Sciences, University of Technology Sydney, Sydney, New South Wales 2007, Australia.
                [11 ]Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia.
                Author notes
                [*]

                These authors contributed equally to this work.

                [†]

                These authors contributed equally to this work.

                []Corresponding author. Email: david.mouillot@ 123456umontpellier.fr
                Author information
                http://orcid.org/0000-0001-7163-6565
                http://orcid.org/0000-0001-5593-348X
                http://orcid.org/0000-0002-5329-0553
                http://orcid.org/0000-0003-2627-394X
                http://orcid.org/0000-0003-1095-8979
                http://orcid.org/0000-0001-8902-6052
                http://orcid.org/0000-0003-1106-1733
                http://orcid.org/0000-0003-0402-2605
                Article
                aap9661
                10.1126/sciadv.aap9661
                5931749
                29732403
                6ad45fb1-3e7d-4219-9f23-038ee339db78
                Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 14 September 2017
                : 16 March 2018
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000875, Pew Charitable Trusts;
                Funded by: doi http://dx.doi.org/10.13039/100010055, University of Salford Manchester;
                Award ID: R&E strategy funding
                Funded by: Government of New Caledonia;
                Funded by: the TOTAL Foundation;
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Ecology
                Ecology
                Custom metadata
                Rochelle Abragante

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