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      Environmental DNA survey captures patterns of fish and invertebrate diversity across a tropical seascape

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          Abstract

          Accurate, rapid, and comprehensive biodiversity assessments are critical for investigating ecological processes and supporting conservation efforts. Environmental DNA (eDNA) surveys show promise as a way to effectively characterize fine-scale patterns of community composition. We tested whether a single PCR survey of eDNA in seawater using a broad metazoan primer could identify differences in community composition between five adjacent habitats at 19 sites across a tropical Caribbean bay in Panama. We paired this effort with visual fish surveys to compare methods for a conspicuous taxonomic group. eDNA revealed a tremendous diversity of animals (8,586 operational taxonomic units), including many small taxa that would be undetected in traditional in situ surveys. Fish comprised only 0.07% of the taxa detected by a broad COI primer, yet included 43 species not observed in the visual survey. eDNA revealed significant differences in fish and invertebrate community composition across adjacent habitats and areas of the bay driven in part by taxa known to be habitat-specialists or tolerant to wave action. Our results demonstrate the ability of broad eDNA surveys to identify biodiversity patterns in the ocean.

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          Depletion, degradation, and recovery potential of estuaries and coastal seas.

          Estuarine and coastal transformation is as old as civilization yet has dramatically accelerated over the past 150 to 300 years. Reconstructed time lines, causes, and consequences of change in 12 once diverse and productive estuaries and coastal seas worldwide show similar patterns: Human impacts have depleted >90% of formerly important species, destroyed >65% of seagrass and wetland habitat, degraded water quality, and accelerated species invasions. Twentieth-century conservation efforts achieved partial recovery of upper trophic levels but have so far failed to restore former ecosystem structure and function. Our results provide detailed historical baselines and quantitative targets for ecosystem-based management and marine conservation.
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            Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

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              A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents

              Introduction The PCR-based analysis of homologous genes has become one of the most powerful approaches for species detection and identification, particularly with the recent availability of Next Generation Sequencing platforms (NGS) making it possible to identify species composition from a broad range of environmental samples. Identifying species from these samples relies on the ability to match sequences with reference barcodes for taxonomic identification. Unfortunately, most studies of environmental samples have targeted ribosomal markers, despite the fact that the mitochondrial Cytochrome c Oxidase subunit I gene (COI) is by far the most widely available sequence region in public reference libraries. This is largely because the available versatile (“universal”) COI primers target the 658 barcoding region, whose size is considered too large for many NGS applications. Moreover, traditional barcoding primers are known to be poorly conserved across some taxonomic groups. Results We first design a new PCR primer within the highly variable mitochondrial COI region, the “mlCOIintF” primer. We then show that this newly designed forward primer combined with the “jgHCO2198” reverse primer to target a 313 bp fragment performs well across metazoan diversity, with higher success rates than versatile primer sets traditionally used for DNA barcoding (i.e. LCO1490/HCO2198). Finally, we demonstrate how the shorter COI fragment coupled with an efficient bioinformatics pipeline can be used to characterize species diversity from environmental samples by pyrosequencing. We examine the gut contents of three species of planktivorous and benthivorous coral reef fish (family: Apogonidae and Holocentridae). After the removal of dubious COI sequences, we obtained a total of 334 prey Operational Taxonomic Units (OTUs) belonging to 14 phyla from 16 fish guts. Of these, 52.5% matched a reference barcode (>98% sequence similarity) and an additional 32% could be assigned to a higher taxonomic level using Bayesian assignment. Conclusions The molecular analysis of gut contents targeting the 313 COI fragment using the newly designed mlCOIintF primer in combination with the jgHCO2198 primer offers enormous promise for metazoan metabarcoding studies. We believe that this primer set will be a valuable asset for a range of applications from large-scale biodiversity assessments to food web studies.
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                Author and article information

                Contributors
                elaineshen@uri.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 April 2020
                21 April 2020
                2020
                : 10
                : 6729
                Affiliations
                [1 ]ISNI 0000 0004 1936 9510, GRID grid.253615.6, Computational Biology Institute, The Milken Institute School of Public Health, The George Washington University, ; Washington, DC USA
                [2 ]ISNI 0000 0004 1936 9510, GRID grid.253615.6, Department of Biological Sciences, The George Washington University, ; Washington, DC USA
                [3 ]ISNI 0000 0001 2192 7591, GRID grid.453560.1, National Museum of Natural History, Smithsonian Institution, ; Washington, DC USA
                [4 ]ISNI 0000 0004 0416 2242, GRID grid.20431.34, Department of Biological Sciences, University of Rhode Island, ; Kingston, RI USA
                [5 ]ISNI 0000 0004 1936 8278, GRID grid.21940.3e, Department of Biosciences, Rice University, ; Houston, Texas USA
                [6 ]ISNI 0000 0001 2296 9689, GRID grid.438006.9, Smithsonian Tropical Research Institute, Smithsonian Institution, ; Balboa, Ancon Panama
                [7 ]ISNI 0000000122986657, GRID grid.34477.33, School of Marine and Environmental Affairs, University of Washington, ; Seattle, WA USA
                [8 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Department of Environmental Engineering Sciences, University of Florida, ; Gainesville, FL USA
                [9 ]ISNI 0000 0004 1936 9510, GRID grid.253615.6, Department of Biostatistics & Bioinformatics, The Milken Institute School of Public Health, The George Washington University, ; Washington, DC USA
                Article
                63565
                10.1038/s41598-020-63565-9
                7174284
                32317664
                96925e78-9314-4a95-a506-d9851c628d79
                © The Author(s) 2020

                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
                : 7 October 2019
                : 16 March 2020
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                © The Author(s) 2020

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                computational biology and bioinformatics,ecology,molecular biology,environmental sciences,ocean sciences

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