2021
DOI: 10.1038/s41598-021-86731-z
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eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters

Abstract: Zooplankton community inventories are the basis of fisheries management for containing fish larvae and their preys; however, the visual identification of early-stage larvae (the “missing biomass”) is difficult and laborious. Here, eDNA metabarcoding was employed to detect zooplankton species of interest for fisheries from open and coastal waters. High-Throughput sequencing (HTS) from environmental samples using small water volumes has been proposed to detect species of interest whose DNA is the most abundant. … Show more

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Cited by 20 publications
(11 citation statements)
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“…Surveys using eDNA have been performed in rivers, lakes, and coastal areas [5][6][7][8][9]. However, the eDNA method faces more challenges in the open ocean [10,11]. The validity of 'eDNA survey in the open ocean' (hereafter OceanDNA) is unclear, given the lower density of creatures like fish and zooplankton in the open ocean [10,11].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Surveys using eDNA have been performed in rivers, lakes, and coastal areas [5][6][7][8][9]. However, the eDNA method faces more challenges in the open ocean [10,11]. The validity of 'eDNA survey in the open ocean' (hereafter OceanDNA) is unclear, given the lower density of creatures like fish and zooplankton in the open ocean [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…However, the eDNA method faces more challenges in the open ocean [10,11]. The validity of 'eDNA survey in the open ocean' (hereafter OceanDNA) is unclear, given the lower density of creatures like fish and zooplankton in the open ocean [10,11]. For example, zooplankton were detected in the coastal region, but not in the open waters, in 1.5 L water samples using COI metabarcoding [11].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, metabarcoding of the stomachs of larval fishes can then identify actual prey items that were consumed by larvae. Evaluating the larval prey field and gut contents through metabarcoding will help us to finally understand the drivers of recruitment volatility in coastal pelagic and other fishes, allowing for improved prediction of forage fish population dynamics (Barbato et al, 2019; Erdozain et al, 2019; Garcia-Vazquez et al, 2021; Mariac et al, 2018; Nielsen et al, 2021; Pitz et al, 2020; Sydeman et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, imaging does not always allow sufficiently high taxonomical precision, and generally requires the physical collection of samples to validate species identification. Furthermore, organisms' attraction to or avoidance of submerged infrastructures is likely to cause some degree of bias toward the local communities (Widder et al, 2005;Aguzzi et al, 2019;Rountree et al, 2020;Garcia-Vazquez et al, 2021).…”
Section: Need For Filling Knowledge Gaps Of the Deep-seamentioning
confidence: 99%
“…Significant advances in molecular methodology and bioinformatics, accompanied by a steady increase in computational power, have made "omics" technologies and data increasingly accessible, with great potential to fill gaps in biodiversity monitoring capabilities of deep-sea cabled observatories (Heidelberg et al, 2010;Garcia-Vazquez et al, 2021). One of the more recent contributions of "omics" to biodiversity monitoring is linked to the collection and analysis of genetic material extracted directly from environmental samples (sediment, water, ice, and air, etc.…”
Section: Need For Filling Knowledge Gaps Of the Deep-seamentioning
confidence: 99%