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      eDNA captures depth partitioning in a kelp forest ecosystem

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      PLoS ONE
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          Abstract

          Environmental DNA (eDNA) metabarcoding is an increasingly important tool for surveying biodiversity in marine ecosystems. However, the scale of temporal and spatial variability in eDNA signatures, and how this variation may impact eDNA-based marine biodiversity assessments, remains uncertain. To address this question, we systematically examined variation in vertebrate eDNA signatures across depth (0 m to 10 m) and horizontal space (nearshore kelp forest and surf zone) over three successive days in Southern California. Across a broad range of teleost fish and elasmobranchs, results showed significant variation in species richness and community assemblages between surface and depth, reflecting microhabitat depth preferences of common Southern California nearshore rocky reef taxa. Community assemblages between nearshore and surf zone sampling stations at the same depth also differed significantly, consistent with known habitat preferences. Additionally, assemblages also varied across three sampling days, but 69% of habitat preferences remained consistent. Results highlight the sensitivity of eDNA in capturing fine-scale vertical, horizontal, and temporal variation in marine vertebrate communities, demonstrating the ability of eDNA to capture a highly localized snapshot of marine biodiversity in dynamic coastal environments.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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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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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 November 2021
                2021
                : 16
                : 11
                : e0253104
                Affiliations
                [001] Ecology and Evolutionary Biology, University of California, Los Angeles, California, United States of America
                University of Hyogo, JAPAN
                Author notes

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

                [¤]

                Current address: Bodega Marine Laboratory, University of California Davis, Bodega Bay, California, United States of America

                Author information
                https://orcid.org/0000-0002-2130-4973
                Article
                PONE-D-21-17590
                10.1371/journal.pone.0253104
                8568143
                34735443
                4da06e73-da7b-4c49-8870-e4ddf0269132
                © 2021 Monuki 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
                : 27 May 2021
                : 12 October 2021
                Page count
                Figures: 4, Tables: 0, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1650604
                Award Recipient : Zachary Gold
                Funded by: funder-id http://dx.doi.org/10.13039/100007185, University of California, Los Angeles;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000011, Howard Hughes Medical Institute;
                Award Recipient :
                Funding was provided by the UCLA Ecology and Evolutionary Biology Whitcome Undergraduate Summer Research Fellowship and the UCLA Honors Programs Irving and Jean Stone Research Award ( http://www.honors.ucla.edu/honors-summer-research-stipends/). K.M. was supported by the UCLA Undergraduate Research Scholars Program ( http://sciences.ugresearch.ucla.edu/programs-and-scholarships/ursp/), Z.G. was supported by the US-NSF Graduate Research Fellowship, grant number DEG No. 1650604, and an HHMI professor award to P.H.B. 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
                Ecology
                Ecosystems
                Marine Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Fish
                Marine Fish
                Biology and Life Sciences
                Marine Biology
                Marine Fish
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Fish
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Seaweed
                Ecology and Environmental Sciences
                Aquatic Environments
                Marine Environments
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Marine Environments
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Custom metadata
                All data is available through Dryad ( https://doi.org/10.5068/D18H47). Code used for analyses is available on GitHub at https://github.com/ksmonuki/eDNA-analysis. A Zenodo link for the code is available at https://doi.org/10.5281/zenodo.5574141. The raw sequences are available on NCBI at http://www.ncbi.nlm.nih.gov/bioproject/771917 with accession number PRJNA771917.

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