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A long-term ecological research data set from the marine genetic monitoring programme ARMS-MBON 2018-2020

Authors: Nauras Daraghmeh; Katrina Exter; Justine Pagnier; Piotr Balazy; Ibon Cancio; Giorgos Chatzigeorgiou; Eva Chatzinikolaou; +34 Authors

A long-term ecological research data set from the marine genetic monitoring programme ARMS-MBON 2018-2020

Abstract

ABSTRACTMolecular 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.

Countries
France, Belgium, Poland, Finland
Keywords

[SDE] Environmental Sciences, IMPACTS, Biochemistry & Molecular Biology, Aquatic Organisms, Genetic monitoring, essential biodiversity variables, Environmental Sciences & Ecology, invasive species, European Marine Omics Biodiversity Observation Network (EMO BON), Coi, COI, Electron Transport Complex IV, European marine omics biodiversity observation network, MANAGEMENT, RNA, Ribosomal, 18S, DNA Barcoding, Taxonomic, Animals, Essential biodiversity variables, Evolutionary Biology, Science & Technology, genetic monitoring, Invasive species, Ecology, RIBOSOMAL-RNA SEQUENCES, Biodiversity, 06 Biological Sciences, PROTECTED AREAS, Europe, 18S rRNA, Ecology, evolutionary biology, RESOURCE ARTICLE, BIODIVERSITY, Its, ITS, Life Sciences & Biomedicine

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid