| Title: | A long-term ecological research data set from the marine genetic monitoring program ARMS-MBON 2018–2020 |
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| Authors: | ID Daraghmeh, Nauras (Author) ID Exter, Katrina (Author) ID Pagnier, Justine (Author) ID Balazy, Piotr (Author) ID Cancio, Ibon (Author) ID Chatzigeorgiou, Giorgos (Author) ID Chatzinikolaou, Eva (Author) ID Chelchowski, Maciej (Author) ID Mavrič, Borut (Author) |
| Files: | URL - Source URL, visit https://onlinelibrary.wiley.com/doi/10.1111/1755-0998.14073
PDF - Presentation file, download (3,67 MB) MD5: 6840130DF8AA5989D9753E2DB2D1AE15
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | NIB - National Institute of Biology
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| Abstract: | Molecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document the biodiversity of complex communities over large spatio-temporal scales. We established an international Marine Biodiversity Observation Network (ARMS-MBON) combining standardised sampling using autonomous reef monitoring structures (ARMS) with metabarcoding for genetic monitoring of marine hard-bottom benthic communities. Here, we present the data of our first sampling campaign comprising 56 ARMS units deployed in 2018–2019 and retrieved in 2018–2020 across 15 observatories along the coasts of Europe and adjacent regions. We describe the open-access data set (image, genetic and metadata) and explore the genetic data to show its potential for marine biodiversity monitoring and ecological research. Our analysis shows that ARMS recovered more than 60 eukaryotic phyla capturing diversity of up to ~5500 amplicon sequence variants and ~1800 operational taxonomic units, and up to ~250 and ~50 species per observatory using the cytochrome c oxidase subunit I (COI) and 18S rRNA marker genes, respectively. Further, ARMS detected threatened, vulnerable and non-indigenous species often targeted in biological monitoring. We show that while deployment duration does not drive diversity estimates, sampling effort and sequencing depth across observatories do. We recommend that ARMS should be deployed for at least 3–6 months during the main growth season to use resources as efficiently as possible and that post-sequencing curation is applied to enable statistical comparison of spatio-temporal entities. We suggest that ARMS should be used in biological monitoring programs and long-term ecological research and encourage the adoption of our ARMS-MBON protocols. |
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| Keywords: | 18S rRNA, COI, essential biodiversity variables, European marine omics biodiversity observation network, genetic monitoring, invasive species, ITS |
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| Publication status: | In print |
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| Publication version: | Author Accepted Manuscript |
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| Publication date: | 31.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-19 |
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| Numbering: | Vol. 25, issue ,[article no.] e14073 |
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| PID: | 20.500.12556/DiRROS-22071  |
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| UDC: | 574.5 |
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| ISSN on article: | 1755-098X |
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| DOI: | 10.1111/1755-0998.14073  |
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| COBISS.SI-ID: | 233157891  |
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| Note: | Soavtorji: Katrina Exter, Justine Pagnier, Piotr Balazy, Ibon Cancio, Giorgos Chatzigeorgiou, Eva Chatzinikolaou, Maciej Chelchowski, Nathan Alexis Mitchell Chrismas, Thierry Comtet, Thanos Dailianis, Klaas Deneudt, Oihane Diaz de Cerio, Markos Digenis, Vasilis Gerovasileiou, José González, Laura Kauppi, Jon Bent Kristoffersen, Piotr Kukliński, Rafał Lasota, Liraz Levy, Magdalena Małachowicz, Borut Mavrič, Jonas Mortelmans, Estefania Paredes, Anita Poćwierz-Kotus, Henning Reiss, Ioulia Santi, Georgia Sarafidou, Grigorios Skouradakis, Jostein Solbakken, Peter A. U. Staehr, Javier Tajadura, Jakob Thyrring, Jesus S. Troncoso, Emmanouela Vernadou, Frederique Viard, Haris Zafeiropoulos, Małgorzata Zbawicka, Christina Pavloudi, Matthias Obst;
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| Publication date in DiRROS: | 18.04.2025 |
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| Views: | 642 |
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| Downloads: | 320 |
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