A Long-Term Ecological Research Data Set From the Marine Genetic Monitoring Program ARMS-MBON 2018–2020
Authors/Creators
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Daraghmeh, Nauras
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Exter, Katrina1
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Pagnier, Justine
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Balazy, Piotr
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Cancio, Ibon2
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Chatzigeorgiou, Giorgos3
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Chatzinikolaou, Eva3
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Chelchowski, Maciej
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Chrismas, Nathan4, 5
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Comtet, Thierry6
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Dailianis, Thanos3
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Deneudt, Klaas1
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Diaz de cerio, Oihane
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Digenis, Markos
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Gerovasileiou, Vasilis7, 3
- Gonzalez, Jose
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Kauppi, Laura8
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Kristoffersen, Jon Bent
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Lasota, Rafal
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Levy, Liran9
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Malachowicz, Magdalena
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Mavrič, Borut
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Mortelmans, Jonas10
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Paredes, Estefanía
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Poćwierz-Kotus, Anita
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Reiss, Henning11
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Santi, Ioulia12, 3
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Sarafidou, Georgia3
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Skouradakis, Grigorios13
- Solbakken, Jostein
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Stæhr, Peter Anton Upadhyay
- TAJADURA, JAVIER
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Thyrring, Jakob14, 15, 16, 17
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Troncoso, Jesus
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Viard, Frédérique18
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Zafeiropoulos, Haris19
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Zbawicka, Małgorzata
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Pavloudi, Christina12
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Obst, Matthias
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1.
Flanders Marine Institute
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2.
University of the Basque Country
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3.
Hellenic Centre for Marine Research
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4.
University of Bristol
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5.
Royal Botanic Garden Edinburgh
- 6. CNRS
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7.
Ionian University
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8.
University of Helsinki
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9.
Sheba Medical Center
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10.
KU Leuven
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11.
Nord University
- 12. European Marine Biological Resource Centre
- 13. Hellenic Centre for Marine Research - Institute of Marine Biology, Biotechnology and Aquaculture
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14.
Aarhus University
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15.
University of Cambridge
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16.
University of British Columbia
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17.
British Antarctic Survey
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18.
Institut des Sciences de l'Evolution de Montpellier
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19.
Rega Institute for Medical Research
Description
Molecular methods such as DNA/eDNA metabarcoding have emerged as useful tools to document the biodiversity of complex commu-
nities 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 de-
scribe 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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- Repository URL
- https://onlinelibrary.wiley.com/doi/10.1111/1755-0998.14073