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Evaluating sediment and water sampling methods for the estimation of deep-sea biodiversity using environmental DNA

Abstract : Despite representing one of the largest biomes on earth, biodiversity of the deep seafloor is still poorly known. Environmental DNA metabarcoding offers prospects for fast inventories and surveys, yet requires standardized sampling approaches and careful choice of environmental substrate. Here, we aimed to optimize the genetic assessment of prokaryote (16S), protistan (18S V4), and metazoan (18S V1-V2, COI) communities, by evaluating sampling strategies for sediment and aboveground water, deployed simultaneously at one deep-sea site. For sediment, while size-class sorting through sieving had no significant effect on total detected alpha diversity and resolved similar taxonomic compositions at the phylum level for all markers studied, it effectively increased the detection of meiofauna phyla. For water, large volumes obtained from an in situ pump (~ 6000 L) detected significantly more metazoan diversity than 7.5 L collected in sampling boxes. However, the pump being limited by larger mesh sizes (> 20 µm), only captured a fraction of microbial diversity, while sampling boxes allowed access to the pico- and nanoplankton. More importantly, communities characterized by aboveground water samples significantly differed from those characterized by sediment, whatever volume used, and both sample types only shared between 3 and 8% of molecular units. Together, these results underline that sediment sieving may be recommended when targeting metazoans, and aboveground water does not represent an alternative to sediment sampling for inventories of benthic diversity.
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https://hal.sorbonne-universite.fr/hal-03198097
Contributor : Gestionnaire Hal-Su <>
Submitted on : Wednesday, April 14, 2021 - 3:07:12 PM
Last modification on : Thursday, April 15, 2021 - 3:29:53 AM

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Miriam Brandt, Florence Pradillon, Blandine Trouche, Nicolas Henry, Cathy Liautard-Haag, et al.. Evaluating sediment and water sampling methods for the estimation of deep-sea biodiversity using environmental DNA. Scientific Reports, Nature Publishing Group, 2021, 11 (1), pp.7856. ⟨10.1038/s41598-021-86396-8⟩. ⟨hal-03198097⟩

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