Accumulation curves of environmental DNA sequences predict coastal fish diversity in the coral triangle

Juhel, Jean-Baptiste, Utama, Rizkie S., Marques, Virginie, Vimono, Indra B., Sugeha, Hagi Yulia, Kadarusman, , Pouyaud, Laurent, Dejean, Tony, Mouillot, David, and Hocdé, Régis (2020) Accumulation curves of environmental DNA sequences predict coastal fish diversity in the coral triangle. Proceedings Of The Royal Society B-biological Sciences, 287 (1930). 20200248.

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Environmental DNA (eDNA) has the potential to provide more comprehensive biodiversity assessments, particularly for vertebrates in species-rich regions. However, this method requires the completeness of a reference database (i.e. a list of DNA sequences attached to each species), which is not currently achieved for many taxa and ecosystems. As an alternative, a range of operational taxonomic units (OTUs) can be extracted from eDNA metabarcoding. However, the extent to which the diversity of OTUs provided by a limited eDNA sampling effort can predict regional species diversity is unknown. Here, by modelling OTU accumulation curves of eDNA seawater samples across the Coral Triangle, we obtained an asymptote reaching 1531 fish OTUs, while 1611 fish species are recorded in the region. We also accurately predict (R-2 = 0.92) the distribution of species richness among fish families from OTU-based asymptotes. Thus, the multi-model framework of OTU accumulation curves extends the use of eDNA metabarcoding in ecology, biogeography and conservation.

Item ID: 64053
Item Type: Article (Research - C1)
ISSN: 1471-2954
Keywords: eDNA metabarcoding, sequence clustering, Operational Taxonomic Unit, diversity assessment, detectability
Copyright Information: © 2020 The Author(s) Published by the Royal Society. All rights reserved.
Funders: French National Research Institute for Sustainable Development (IRD), Indonesian Institute of Sciences (LIPI), University of Papua (UNIPA), Research Center for Oceanography (RCO, the Politeknik KP Sorong), Institut Français in Indonesia (IFI), Total Foundation, TIPCO company
Projects and Grants: Lengguru 2017 Project
Date Deposited: 12 Aug 2020 07:39
FoR Codes: 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310506 Gene mapping @ 100%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180504 Marine biodiversity @ 100%
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