| Literature DB >> 35440210 |
Laetitia Mathon1,2, Virginie Marques1,3, David Mouillot3,4, Camille Albouy5, Marco Andrello3,6, Florian Baletaud2,3,7, Giomar H Borrero-Pérez8, Tony Dejean9, Graham J Edgar10, Jonathan Grondin9, Pierre-Edouard Guerin1, Régis Hocdé3, Jean-Baptiste Juhel3, Eva Maire3,11, Gael Mariani3, Matthew McLean12, Andrea Polanco F8, Laurent Pouyaud13, Rick D Stuart-Smith10, Hagi Yulia Sugeha14, Alice Valentini9, Laurent Vigliola2, Indra B Vimono14, Loïc Pellissier15,16, Stéphanie Manel1.
Abstract
Increasing speed and magnitude of global change threaten the world's biodiversity and particularly coral reef fishes. A better understanding of large-scale patterns and processes on coral reefs is essential to prevent fish biodiversity decline but it requires new monitoring approaches. Here, we use environmental DNA metabarcoding to reconstruct well-known patterns of fish biodiversity on coral reefs and uncover hidden patterns on these highly diverse and threatened ecosystems. We analysed 226 environmental DNA (eDNA) seawater samples from 100 stations in five tropical regions (Caribbean, Central and Southwest Pacific, Coral Triangle and Western Indian Ocean) and compared those to 2047 underwater visual censuses from the Reef Life Survey in 1224 stations. Environmental DNA reveals a higher (16%) fish biodiversity, with 2650 taxa, and 25% more families than underwater visual surveys. By identifying more pelagic, reef-associated and crypto-benthic species, eDNA offers a fresh view on assembly rules across spatial scales. Nevertheless, the reef life survey identified more species than eDNA in 47 shared families, which can be due to incomplete sequence assignment, possibly combined with incomplete detection in the environment, for some species. Combining eDNA metabarcoding and extensive visual census offers novel insights on the spatial organization of the richest marine ecosystems.Entities:
Keywords: biogeographic patterns; coral reef fish; eDNA metabarcoding; visual census
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Year: 2022 PMID: 35440210 PMCID: PMC9019517 DOI: 10.1098/rspb.2022.0162
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.530