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      Effects of sampling effort on biodiversity patterns estimated from environmental DNA metabarcoding surveys

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          Abstract

          Environmental DNA (eDNA) metabarcoding can greatly enhance our understanding of global biodiversity and our ability to detect rare or cryptic species. However, sampling effort must be considered when interpreting results from these surveys. We explored how sampling effort influenced biodiversity patterns and nonindigenous species (NIS) detection in an eDNA metabarcoding survey of four commercial ports. Overall, we captured sequences from 18 metazoan phyla with minimal differences in taxonomic coverage between 18 S and COI primer sets. While community dissimilarity patterns were consistent across primers and sampling effort, richness patterns were not, suggesting that richness estimates are extremely sensitive to primer choice and sampling effort. The survey detected 64 potential NIS, with COI identifying more known NIS from port checklists but 18 S identifying more operational taxonomic units shared between three or more ports that represent un-recorded potential NIS. Overall, we conclude that eDNA metabarcoding surveys can reveal global similarity patterns among ports across a broad array of taxa and can also detect potential NIS in these key habitats. However, richness estimates and species assignments require caution. Based on results of this study, we make several recommendations for port eDNA sampling design and suggest several areas for future research.

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

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              ggmap: Spatial Visualization with ggplot2

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                Author and article information

                Contributors
                egrey@govst.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 June 2018
                11 June 2018
                2018
                : 8
                : 8843
                Affiliations
                [1 ]ISNI 0000 0001 2228 5818, GRID grid.256514.1, Division of Science, Mathematics and Technology, , Governors State University, ; 1 University Parkway, University Park, Illinois 60484 USA
                [2 ]ISNI 0000 0004 1936 8390, GRID grid.23856.3a, Insitut de Biologie Intégrative et des Systèmes (IBIS), , Université Laval, ; 1030 Avenue de la Médecine, Québec, G1V 0A6 Canada
                [3 ]ISNI 0000 0004 1936 7304, GRID grid.1010.0, School of Biological Sciences, , University of Adelaide, ; Adelaide, SA 5005 Australia
                [4 ]ISNI 000000041936877X, GRID grid.5386.8, Department of Ecology and Evolutionary Biology, , Cornell University, ; 200 Rice Hall, Ithaca, NY 14853 USA
                [5 ]South Australian Aquatic Sciences Centre, 2 Hamra Avenue, West Beach, SA 5024 Australia
                [6 ]ISNI 0000 0004 0449 2129, GRID grid.23618.3e, Fisheries and Oceans Canada, 501 University Crescent, ; Winnipeg, Manitoba R3T 2N6 Canada
                [7 ]ISNI 0000 0001 2180 6431, GRID grid.4280.e, Tropical Marine Science Institute, , National University of Singapore, ; 18 Kent Ridge Road, S2S Building, Singapore, 119227 Singapore
                [8 ]ISNI 0000 0001 2168 0066, GRID grid.131063.6, Department of Biological Sciences, , University of Notre Dame, ; 109b Galvin Life Science Center, Notre Dame, IN 46556 USA
                [9 ]ISNI 0000 0000 8741 0387, GRID grid.256872.c, Oceanic Institute, , Hawaii Pacific University, ; 41-202 Kalanianaole Highway, Waimanalo, HI 96795 USA
                [10 ]ISNI 000000041936877X, GRID grid.5386.8, Atkinson Center for a Sustainable Future, , Cornell University, ; 200 Rice Hall, Ithaca, NY 14853 USA
                [11 ]ISNI 0000 0001 2168 0066, GRID grid.131063.6, Environmental Change Initiative, , University of Notre Dame, ; 1400 East Angela Boulevard, Unit 117, South Bend, IN 46617 USA
                [12 ]ISNI 0000 0004 1936 7304, GRID grid.1010.0, School of Mathematical Sciences, , University of Adelaide, ; Adelaide, SA 5005 Australia
                Author information
                http://orcid.org/0000-0001-5883-0013
                http://orcid.org/0000-0001-9755-3223
                http://orcid.org/0000-0001-6861-0655
                Article
                27048
                10.1038/s41598-018-27048-2
                5995838
                29891968
                e6d446cc-857e-4d60-bcc7-117be152973a
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 October 2017
                : 16 May 2018
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