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      Towards Naples Ecological REsearch for Augmented Observatories (NEREA): The NEREA-Fix Module, a Stand-Alone Platform for Long-Term Deep-Sea Ecosystem Monitoring †

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          Abstract

          Deep-sea ecological monitoring is increasingly recognized as indispensable for the comprehension of the largest biome on Earth, but at the same time it is subjected to growing human impacts for the exploitation of biotic and abiotic resources. Here, we present the Naples Ecological REsearch (NEREA) stand-alone observatory concept (NEREA-fix), an integrated observatory with a modular, adaptive structure, characterized by a multiparametric video-platform to be deployed in the Dohrn canyon (Gulf of Naples, Tyrrhenian Sea) at ca. 650 m depth. The observatory integrates a seabed platform with optoacoustic and oceanographic/geochemical sensors connected to a surface transmission buoy, plus a mooring line (also equipped with depth-staged environmental sensors). This reinforced high-frequency and long-lasting ecological monitoring will integrate the historical data conducted over 40 years for the Long-Term Ecological Research (LTER) at the station “Mare Chiara”, and ongoing vessel-assisted plankton (and future environmental DNA-eDNA) sampling. NEREA aims at expanding the observational capacity in a key area of the Mediterranean Sea, representing a first step towards the establishment of a bentho-pelagic network to enforce an end-to-end transdisciplinary approach for the monitoring of marine ecosystems across a wide range of animal sizes (from bacteria to megafauna).

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          Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

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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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              Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

              Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                21 May 2020
                May 2020
                : 20
                : 10
                : 2911
                Affiliations
                [1 ]Department of Life and Environmental Science, Polytechnic University of Marche, 60131 Ancona, Italy; r.danovaro@ 123456univpm.it
                [2 ]Stazione Zoologica Anton Dohrn, 80121 Naples, Italy; jaguzzi@ 123456icm.csic.es (J.A.); simone.marini@ 123456sp.ismar.cnr.it (S.M.); simonepietro.canese@ 123456szn.it (S.C.); Sergio.stefanni@ 123456szn.it (S.S.); fabio.conversano@ 123456szn.it (F.C.)
                [3 ]Instituto de Ciencias del Mar, CSIC, 08003 Barcelona, Spain
                [4 ]Institute of Marine Sciences, CNR, 19032 La Spezia, Italy
                [5 ]SARTI Research Group, Electronics Department, Universitat Politècnica de Catalunya, 08800 Vilanova i la Gertru, Spain; joaquin.del.rio@ 123456upc.edu (J.d.R.); marc.nogueras@ 123456upc.edu (M.N.)
                Author notes
                [* ]Correspondence: e.fanelli@ 123456univpm.it
                [†]

                This paper is an extended version of our paper published in 2019 IMEKO TC-19 International Workshop on Metrology for the Sea; Fanelli et al., NEREA, the Naples Ecological REsearch for Augmented observatories: Towards an end-to-end transdisciplinary approach for the study of marine ecosystems; In Proceedings of the IMEKO TC-19 International Workshop on Metrology for the Sea (MetroSea 2019), Genoa, Italy, 3–5 October 2019.

                [‡]

                These authors contribute equally.

                Author information
                https://orcid.org/0000-0002-1484-8219
                https://orcid.org/0000-0003-0665-7815
                https://orcid.org/0000-0002-6191-2201
                https://orcid.org/0000-0001-7272-0128
                https://orcid.org/0000-0001-6049-4506
                https://orcid.org/0000-0002-9025-9395
                Article
                sensors-20-02911
                10.3390/s20102911
                7285156
                32455611
                5c086cc5-579f-4101-8d8a-500c8912c341
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 April 2020
                : 19 May 2020
                Categories
                Communication

                Biomedical engineering
                stand-alone observatory,optoacoustic imaging,ecological monitoring,remote data transmission,artificial intelligence

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