ArticleCommunications biology2024
North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA.
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.
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Who cites it
7 citing papers in PubMed.
- Harnessing macrogenomics to study changing marine ecosystems under global climate change.Proceedings. Biological sciences · 2026Review
- Prospects of multipurpose biomonitoring for fisheries assessment based on environmental nucleic acids.Journal of fish biology · 2026Review
- Rapid Clearance of Tetracapsuloides bryosalmonae Spores by Freshwater Sponge Ephydatia muelleri: Potential Implications for Controlling Proliferative Kidney Disease in Salmonids.Journal of fish diseases · 2026Article
- Improving rare-class detection in deep-sea imagery via generative augmentation with stable diffusion.Scientific reports · 2026Article
- Recovering Historical eDNA From Museum-Preserved Filter Feeders via Non-Destructive Metabarcoding.Molecular ecology resources · 2026Article
- The chromosomal genome sequence of the spongeWellcome open research · 2026Article
- Climate Change Drives Bathymetric Shifts in Taxonomic and Trait Diversity of Deep-Sea Benthic Communities.Global change biology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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.
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