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Evaluation of marine zooplankton community structure through environmental DNA metabarcoding

Zooplankton dominate the abundance and biomass of multicellular animals in pelagic marine environments; however, traditional methods to characterize zooplankton communities are invasive and laborious. This study compares zooplankton taxonomic composition revealed through metabarcoding of the cytochr...

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Autores principales: Djurhuus, Anni, Pitz, Kathleen, Sawaya, Natalie A., Rojas‐Márquez, Jaimie, Michaud, Brianna, Montes, Enrique, Muller‐Karger, Frank, Breitbart, Mya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993268/
https://www.ncbi.nlm.nih.gov/pubmed/29937700
http://dx.doi.org/10.1002/lom3.10237
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author Djurhuus, Anni
Pitz, Kathleen
Sawaya, Natalie A.
Rojas‐Márquez, Jaimie
Michaud, Brianna
Montes, Enrique
Muller‐Karger, Frank
Breitbart, Mya
author_facet Djurhuus, Anni
Pitz, Kathleen
Sawaya, Natalie A.
Rojas‐Márquez, Jaimie
Michaud, Brianna
Montes, Enrique
Muller‐Karger, Frank
Breitbart, Mya
author_sort Djurhuus, Anni
collection PubMed
description Zooplankton dominate the abundance and biomass of multicellular animals in pelagic marine environments; however, traditional methods to characterize zooplankton communities are invasive and laborious. This study compares zooplankton taxonomic composition revealed through metabarcoding of the cytochrome oxidase I (COI) and 18S rRNA genes to traditional morphological identification by microscopy. Triplicates of three different sample types were collected from three coral reef sites in the Florida Keys National Marine Sanctuary: (1) 1 L surface seawater samples prefiltered through 3 μm filters and subsequently collected on 0.22 μm filters for eDNA (PF‐eDNA); (2) 1 L surface seawater samples filtered on 0.22 μm pore‐size filters (environmental DNA; eDNA), and (3) zooplankton tissue samples from 64 μm, 200 μm, and 500 μm mesh size net tows. The zooplankton tissue samples were split, with half identified morphologically and tissue DNA (T‐DNA) extracted from the other half. The COI and 18S rRNA gene metabarcoding of PF‐eDNA, eDNA, and T‐DNA samples was performed using Illumina MiSeq. Of the families detected with COI and 18S rRNA gene metabarcoding, 40% and 32%, respectively, were also identified through morphological assessments. Significant differences in taxonomic composition were observed between PF‐DNA, eDNA, and T‐DNA with both genetic markers. PF‐eDNA resulted in detection of fewer taxa than the other two sample types; thus, prefiltering is not recommended. All dominant copepod taxa (> 5% of total abundance) were detected with eDNA, T‐DNA, and morphological assessments, demonstrating that eDNA metabarcoding is a promising technique for future biodiversity assessments of pelagic zooplankton in marine systems.
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spelling pubmed-59932682018-06-20 Evaluation of marine zooplankton community structure through environmental DNA metabarcoding Djurhuus, Anni Pitz, Kathleen Sawaya, Natalie A. Rojas‐Márquez, Jaimie Michaud, Brianna Montes, Enrique Muller‐Karger, Frank Breitbart, Mya Limnol Oceanogr Methods Evaluations of Existing Methods Zooplankton dominate the abundance and biomass of multicellular animals in pelagic marine environments; however, traditional methods to characterize zooplankton communities are invasive and laborious. This study compares zooplankton taxonomic composition revealed through metabarcoding of the cytochrome oxidase I (COI) and 18S rRNA genes to traditional morphological identification by microscopy. Triplicates of three different sample types were collected from three coral reef sites in the Florida Keys National Marine Sanctuary: (1) 1 L surface seawater samples prefiltered through 3 μm filters and subsequently collected on 0.22 μm filters for eDNA (PF‐eDNA); (2) 1 L surface seawater samples filtered on 0.22 μm pore‐size filters (environmental DNA; eDNA), and (3) zooplankton tissue samples from 64 μm, 200 μm, and 500 μm mesh size net tows. The zooplankton tissue samples were split, with half identified morphologically and tissue DNA (T‐DNA) extracted from the other half. The COI and 18S rRNA gene metabarcoding of PF‐eDNA, eDNA, and T‐DNA samples was performed using Illumina MiSeq. Of the families detected with COI and 18S rRNA gene metabarcoding, 40% and 32%, respectively, were also identified through morphological assessments. Significant differences in taxonomic composition were observed between PF‐DNA, eDNA, and T‐DNA with both genetic markers. PF‐eDNA resulted in detection of fewer taxa than the other two sample types; thus, prefiltering is not recommended. All dominant copepod taxa (> 5% of total abundance) were detected with eDNA, T‐DNA, and morphological assessments, demonstrating that eDNA metabarcoding is a promising technique for future biodiversity assessments of pelagic zooplankton in marine systems. John Wiley and Sons Inc. 2018-01-17 2018-04 /pmc/articles/PMC5993268/ /pubmed/29937700 http://dx.doi.org/10.1002/lom3.10237 Text en © 2018 The Authors Limnology and Oceanography: Methods published by Wiley Periodicals, Inc. on behalf of Association for the Sciences of Limnology and Oceanography This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Evaluations of Existing Methods
Djurhuus, Anni
Pitz, Kathleen
Sawaya, Natalie A.
Rojas‐Márquez, Jaimie
Michaud, Brianna
Montes, Enrique
Muller‐Karger, Frank
Breitbart, Mya
Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title_full Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title_fullStr Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title_full_unstemmed Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title_short Evaluation of marine zooplankton community structure through environmental DNA metabarcoding
title_sort evaluation of marine zooplankton community structure through environmental dna metabarcoding
topic Evaluations of Existing Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993268/
https://www.ncbi.nlm.nih.gov/pubmed/29937700
http://dx.doi.org/10.1002/lom3.10237
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