ArticleEcology and evolution2019
Assessing eukaryotic biodiversity in the Florida Keys National Marine Sanctuary through environmental DNA metabarcoding.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Inferring Species Interactions From Co-occurrence Networks With Environmental DNA Metabarcoding Data in a Coastal Marine Food Web.Molecular ecology · 2025Article
- Biogeographic patterns of meio- and micro-eukaryotic communities in dam-induced river-reservoir systems.Applied microbiology and biotechnology · 2024Article
- Evaluation of DNA metabarcoding for identifying fish eggs: a case study on the West Florida Shelf.PeerJ · 2023Review
- DNA Barcode Gap Analysis for Multiple Marker Genes for Phytoplankton Species Biodiversity in Mediterranean Aquatic Ecosystems.Biology · 2022Article
- Factors influencing the pigment composition and dynamics of photoautotrophic picoplankton in shallow eutrophic lakes.PloS one · 2022Article
- Seasonal Diversity of Microeukaryotes in the Han River, Korea Through 18S rRNA Gene Metabarcoding.Evolutionary bioinformatics online · 2022Article
- Comparing eDNA metabarcoding primers for assessing fish communities in a biodiverse estuary.PloS one · 2022Article
- Application of Omics Tools in Designing and Monitoring Marine Protected Areas For a Sustainable Blue Economy.Frontiers in genetics · 2022Article
- Reinforcement of Environmental DNA Based Methods (Biology · 2021Review
- Evaluation of V2 18S rDNA barcode marker and assessment of sample collection and DNA extraction methods for metabarcoding of autotrophic euglenids.Environmental microbiology · 2021Article
- Environmental DNA reveals seasonal shifts and potential interactions in a marine community.Nature communications · 2020Article
- Evaluation of Sample Preparation Methods for the Analysis of Reef-Building Corals Using ¹H-NMR-Based Metabolomics.Metabolites · 2019Article
- Assessing eukaryotic biodiversity in the Florida Keys National Marine Sanctuary through environmental DNA metabarcoding.Ecology and evolution · 2019Article
- Metabarcoding Insights Into the Trophic Behavior and Identity of Intertidal Benthic Foraminifera.Frontiers in microbiology · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental DNA (eDNA) is the DNA suspended in the environment (e.g., water column), which includes cells, gametes, and other material derived from but not limited to shedding of tissue, scales, mucus, and fecal matter. Amplifying and sequencing marker genes (i.e., metabarcoding) from eDNA can reveal the wide range of taxa present in an ecosystem through analysis of a single water sample. Metabarcoding of eDNA provides higher resolution data than visual surveys, aiding in assessments of ecosystem health. This study conducted eDNA metabarcoding of two molecular markers (cytochrome c oxidase I (COI) and 18S ribosomal RNA (rRNA) genes) to survey eukaryotic diversity across multiple trophic levels in surface water samples collected at three sites along the coral reef tract within the Florida Keys National Marine Sanctuary (FKNMS) during four research cruises in 2015. The 18S rRNA gene sequences recovered 785 genera while the COI gene sequences recovered 115 genera, with only 33 genera shared between the two datasets, emphasizing the complementarity of these marker genes. Community composition for both genetic markers clustered by month of sample collection, suggesting that temporal variation has a larger effect on biodiversity than spatial variability in the FKNMS surface waters. Sequences from both marker genes were dominated by copepods, but each marker recovered distinct phytoplankton groups, with 18S rRNA gene sequences dominated by dinoflagellates and COI sequences dominated by coccolithophores. Although eDNA samples were collected from surface waters, many benthic species such as sponges, crustaceans, and corals were identified. These results show the utility of eDNA metabarcoding for cataloging biodiversity to establish an ecosystem baseline against which future samples can be compared in order to monitor community changes.
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