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      Using low volume eDNA methods to sample pelagic marine animal assemblages

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          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.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 May 2024
                2024
                : 19
                : 5
                : e0303263
                Affiliations
                [1 ] Integrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America
                [2 ] Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America
                [3 ] Biosciences Division, Argonne National Laboratory, Lemont, Illinois, United States of America
                Stockholm University, SWEDEN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9112-863X
                https://orcid.org/0000-0001-5663-9194
                https://orcid.org/0000-0002-0305-1159
                Article
                PONE-D-24-02120
                10.1371/journal.pone.0303263
                11095688
                38748719
                d3e6e5d5-072c-4eac-b1d1-b4a7dc133174
                © 2024 Dan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 January 2024
                : 23 April 2024
                Page count
                Figures: 7, Tables: 3, Pages: 24
                Funding
                Funded by: National Science Foundation (NSF)
                Award ID: 2048210
                Award Recipient :
                Funded by: National Science Foundation (NSF)
                Award ID: 2011031
                Award Recipient :
                Funded by: Office of Naval Research (ONR)
                Award ID: N00014-21-1-2651
                Award Recipient :
                Funded by: University of California Ship Funds Program
                Award Recipient :
                This work was supported by funding from the National Science Foundation (NSF) to CAC (NSF OCE CAREER Award #2048210) and EJP (NSF PRF Award #2011031), the Office of Naval Research (ONR) to JSB (ONR Award #N00014-21-1-2651), and the University of California Ship Funds Program to CAC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Biology and Life Sciences
                Taxonomy
                Animal Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Animal Taxonomy
                Biology and Life Sciences
                Zoology
                Animal Taxonomy
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Biology and Life Sciences
                Biogeography
                Phylogeography
                Ecology and Environmental Sciences
                Biogeography
                Phylogeography
                Earth Sciences
                Geography
                Biogeography
                Phylogeography
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Phylogeography
                Biology and Life Sciences
                Genetics
                Population Genetics
                Phylogeography
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Phylogeography
                Research and Analysis Methods
                Research Facilities
                Information Centers
                Libraries
                Custom metadata
                Sequencing data files can be accessed within the NCBI BioProject PRJNA1051569, at the URL https://www.ncbi.nlm.nih.gov/bioproject/1051569. All data frames and intermediary files used in the manuscripts are included in full as Supplementary Information ( S1 Dataset).

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