ArticlePloS one2020
Harnessing the power of eDNA metabarcoding for the detection of deep-sea fishes.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment.Molecular ecology · 2022Pooled it
- From environmental DNA into actionable biodiversity data: Towards the implementation of the Kunming-Montreal Global Biodiversity Framework.The Journal of heredity · 2026Review
- Invisible invaders: A new warning flag for molecularly detected alien species (MODAS) in databases and information systems.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Widespread adoption of environmental DNA (eDNA)-based biodiversity monitoring in Canada will depend on trust more than on education: insights from a SWOT analysis.Environmental monitoring and assessment · 2026Article
- A tailored MoSNational science review · 2026Article
- Article
- Biomonitoring in the Anthropocene: Urban estuary environmental DNA tracks marine fish, terrestrial wildlife, and human diet.PloS one · 2026Article
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- eDNA Adoption: Weighing the Benefits and Challenges from Quebec Potential End-Users' Perspective.Environmental management · 2025Article
- Fish Diversity and Environmental Relationships in the Jinsha River During the Initial Phases of the 10-Year Fishing Ban: A Metabarcoding Approach.Ecology and evolution · 2025Article
- Design and Validation of an Open-Close Device for Integrated Environmental DNA Sampling Detects A Depth Gradient in Indian Ocean Deep-Sea Fish Assemblages.Ecology and evolution · 2025Article
- Article
- Environmental DNA illuminates the darkness of mesophotic assemblages of fishes from West Indian Ocean.PloS one · 2025Article
- Fish diversity assessment through conventional morphological identification and recent advances in Saudi Arabia: A review.Veterinary world · 2024Review
- North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA.Communications biology · 2024Article
- Article
- Utilizing environmental DNA and imaging to study the deep-sea fish community of Takuyo-Daigo Seamount.npj biodiversity · 2024Article
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- Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The deep ocean is the largest biome on Earth and faces increasing anthropogenic pressures from climate change and commercial fisheries. Our ability to sustainably manage this expansive habitat is impeded by our poor understanding of its inhabitants and by the difficulties in surveying and monitoring these areas. Environmental DNA (eDNA) metabarcoding has great potential to improve our understanding of this region and to facilitate monitoring across a broad range of taxa. Here, we evaluate two eDNA sampling protocols and seven primer sets for elucidating fish diversity from deep sea water samples. We found that deep sea water samples (> 1400 m depth) had significantly lower DNA concentrations than surface or mid-depth samples necessitating a refined protocol with a larger sampling volume. We recovered significantly more DNA in large volume water samples (1.5 L) filtered at sea compared to small volume samples (250 mL) held for lab filtration. Furthermore, the number of unique sequences (exact sequence variants; ESVs) recovered per sample was higher in large volume samples. Since the number of ESVs recovered from large volume samples was less variable and consistently high, we recommend the larger volumes when sampling water from the deep ocean. We also identified three primer sets which detected the most fish taxa but recommend using multiple markers due the variability in detection probabilities and taxonomic resolution among fishes for each primer set. Overall, fish diversity results obtained from metabarcoding were comparable to conventional survey methods. While eDNA sampling and processing need be optimized for this unique environment, the results of this study demonstrate that eDNA metabarcoding can facilitate biodiversity surveys in the deep ocean, require less dedicated survey effort per unit identification, and are capable of simultaneously providing valuable information on other taxonomic groups.
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