Evidence map›Paper›PMID 39160260›Full record

ArticleCommunications biology2024

North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA.

Ramón Gallego, María Belén Arias, Andrea Corral-Lou, Cristina Díez-Vives, Erika F Neave, Cai Wang, Paco Cárdenas, Karin Steffen, Sergio Taboada, Adriana Villamor and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The chromosomal genome sequence of the spongeWellcome open research · 2026
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ramón Gallego *Department of Biology, Facultad de Ciencias, Universidad Autónoma de Madrid, Calle Darwin 2, Cantoblanco, 28049, Madrid, Spain.ORCID 0000-0003-4990-9648
María Belén Arias *Department of Life Sciences, Natural History Museum, Cromwell Road, South Kensington, London, SW7 5BD, UK.
Andrea Corral-Lou *Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales (CSIC), Calle José Gutiérrez Abascal 2, 28006, Madrid, Spain.
Cristina Díez-VivesDepartment of Life Sciences, Natural History Museum, Cromwell Road, South Kensington, London, SW7 5BD, UK.ORCID 0000-0002-1772-7092
Erika F NeaveSchool of Biological & Environmental Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK.
Cai WangSchool of Biological & Environmental Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK.
Paco CárdenasMuseum of Evolution, Uppsala University, Norbyvägen 16, 752 36, Uppsala, Sweden.ORCID 0000-0003-4045-6718
Karin SteffenDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0003-0499-1430
Sergio TaboadaDepartment of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales (CSIC), Calle José Gutiérrez Abascal 2, 28006, Madrid, Spain.
Adriana VillamorInternational Council for the Exploration of the Sea (ICES), H. C. Andersens Boulevard 44-46, DK, 1553, Copenhagen V, Denmark.
Ellen KenchingtonOcean and Ecosystem Sciences Division, Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, B2Y 4A2, Canada.ORCID 0000-0003-3784-4533
Stefano MarianiSchool of Biological & Environmental Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK.ORCID 0000-0002-5329-0553
Ana RiesgoDepartment of Life Sciences, Natural History Museum, Cromwell Road, South Kensington, London, SW7 5BD, UK. anariesgogil@mncn.csic.es.ORCID 0000-0002-7993-1523

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 679849"la Caixa" Foundation (Caixa Foundation) ID 100010434RCUK | Natural Environment Research Council (NERC) NE/T007028/1
6 · The paper itself

Abstract

The deep-sea remains the biggest challenge to biodiversity exploration, and anthropogenic disturbances extend well into this realm, calling for urgent management strategies. One of the most diverse, productive, and vulnerable ecosystems in the deep sea are sponge grounds. Currently, environmental DNA (eDNA) metabarcoding is revolutionising the field of biodiversity monitoring, yet complex deep-sea benthic ecosystems remain challenging to assess even with these novel technologies. Here, we evaluate the effectiveness of whole-community metabarcoding to characterise metazoan diversity in sponge grounds across the North Atlantic by leveraging the natural eDNA sampling properties of deep-sea sponges themselves. We sampled 97 sponge tissues from four species across four North-Atlantic biogeographic regions in the deep sea and screened them using the universal COI barcode region. We recovered unprecedented levels of taxonomic diversity per unit effort, especially across the phyla Chordata, Cnidaria, Echinodermata and Porifera, with at least 406 metazoan species found in our study area. These assemblages identify strong spatial patterns in relation to both latitude and depth, and detect emblematic species currently employed as indicators for these vulnerable habitats. The remarkable performance of this approach in different species of sponges, in different biogeographic regions and across the whole animal kingdom, illustrates the vast potential of natural samplers as high-resolution biomonitoring solutions for highly diverse and vulnerable deep-sea ecosystems.

Indexed as

BiodiversityDNA Barcoding, TaxonomicPoriferaAnimalsAtlantic OceanDNA, EnvironmentalEcosystemDNA, Environmental

Identifiers

PMID39160260
PMCPMC11333605

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.