Evidence map›Paper›PMID 38748719›Full record

ArticlePloS one2024

Using low volume eDNA methods to sample pelagic marine animal assemblages.

Michelle E Dan, Elan J Portner, Jeff S Bowman, Brice X Semmens, Sarah M Owens, Stephanie M Greenwald, C Anela Choy

Abstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michelle E DanIntegrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.
Elan J PortnerIntegrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-9112-863X
Jeff S BowmanIntegrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.
Brice X SemmensMarine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-5663-9194
Sarah M OwensBiosciences Division, Argonne National Laboratory, Lemont, Illinois, United States of America.
Stephanie M GreenwaldBiosciences Division, Argonne National Laboratory, Lemont, Illinois, United States of America.
C Anela ChoyIntegrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-0305-1159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) is an increasingly useful method for detecting pelagic animals in the ocean but typically requires large water volumes to sample diverse assemblages. Ship-based pelagic sampling programs that could implement eDNA methods generally have restrictive water budgets. Studies that quantify how eDNA methods perform on low water volumes in the ocean are limited, especially in deep-sea habitats with low animal biomass and poorly described species assemblages. Using 12S rRNA and COI gene primers, we quantified assemblages comprised of micronekton, coastal forage fishes, and zooplankton from low volume eDNA seawater samples (n = 436, 380-1800 mL) collected at depths of 0-2200 m in the southern California Current. We compared diversity in eDNA samples to concurrently collected pelagic trawl samples (n = 27), detecting a higher diversity of vertebrate and invertebrate groups in the eDNA samples. Differences in assemblage composition could be explained by variability in size-selectivity among methods and DNA primer suitability across taxonomic groups. The number of reads and amplicon sequences variants (ASVs) did not vary substantially among shallow (<200 m) and deep samples (>600 m), but the proportion of invertebrate ASVs that could be assigned a species-level identification decreased with sampling depth. Using hierarchical clustering, we resolved horizontal and vertical variability in marine animal assemblages from samples characterized by a relatively low diversity of ecologically important species. Low volume eDNA samples will quantify greater taxonomic diversity as reference libraries, especially for deep-dwelling invertebrate species, continue to expand.

Indexed as

Aquatic OrganismsBiodiversityDNA, EnvironmentalAnimalsEcosystemFishesInvertebratesSeawaterZooplanktonDNA, Environmental

Identifiers

PMID38748719
PMCPMC11095688

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.