Back to Search Start Over

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

Authors :
Gallego R
Arias MB
Corral-Lou A
Díez-Vives C
Neave EF
Wang C
Cárdenas P
Steffen K
Taboada S
Villamor A
Kenchington E
Mariani S
Riesgo A
Source :
Communications biology [Commun Biol] 2024 Aug 19; Vol. 7 (1), pp. 1015. Date of Electronic Publication: 2024 Aug 19.
Publication Year :
2024

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.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2399-3642
Volume :
7
Issue :
1
Database :
MEDLINE
Journal :
Communications biology
Publication Type :
Academic Journal
Accession number :
39160260
Full Text :
https://doi.org/10.1038/s42003-024-06695-4