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High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems
Environmental diversity surveys are crucial for the bioassessment of anthropogenic impacts on marine ecosystems. Traditional benthic monitoring relying on morphotaxonomic inventories of macrofaunal communities is expensive, time-consuming and expertise-demanding. High-throughput sequencing of enviro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564730/ https://www.ncbi.nlm.nih.gov/pubmed/26355099 http://dx.doi.org/10.1038/srep13932 |
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author | Lejzerowicz, Franck Esling, Philippe Pillet, Loïc Wilding, Thomas A. Black, Kenneth D. Pawlowski, Jan |
author_facet | Lejzerowicz, Franck Esling, Philippe Pillet, Loïc Wilding, Thomas A. Black, Kenneth D. Pawlowski, Jan |
author_sort | Lejzerowicz, Franck |
collection | PubMed |
description | Environmental diversity surveys are crucial for the bioassessment of anthropogenic impacts on marine ecosystems. Traditional benthic monitoring relying on morphotaxonomic inventories of macrofaunal communities is expensive, time-consuming and expertise-demanding. High-throughput sequencing of environmental DNA barcodes (metabarcoding) offers an alternative to describe biological communities. However, whether the metabarcoding approach meets the quality standards of benthic monitoring remains to be tested. Here, we compared morphological and eDNA/RNA-based inventories of metazoans from samples collected at 10 stations around a fish farm in Scotland, including near-cage and distant zones. For each of 5 replicate samples per station, we sequenced the V4 region of the 18S rRNA gene using the Illumina technology. After filtering, we obtained 841,766 metazoan sequences clustered in 163 Operational Taxonomic Units (OTUs). We assigned the OTUs by combining local BLAST searches with phylogenetic analyses. We calculated two commonly used indices: the Infaunal Trophic Index and the AZTI Marine Biotic Index. We found that the molecular data faithfully reflect the morphology-based indices and provides an equivalent assessment of the impact associated with fish farms activities. We advocate that future benthic monitoring should integrate metabarcoding as a rapid and accurate tool for the evaluation of the quality of marine benthic ecosystems. |
format | Online Article Text |
id | pubmed-4564730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45647302015-09-15 High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems Lejzerowicz, Franck Esling, Philippe Pillet, Loïc Wilding, Thomas A. Black, Kenneth D. Pawlowski, Jan Sci Rep Article Environmental diversity surveys are crucial for the bioassessment of anthropogenic impacts on marine ecosystems. Traditional benthic monitoring relying on morphotaxonomic inventories of macrofaunal communities is expensive, time-consuming and expertise-demanding. High-throughput sequencing of environmental DNA barcodes (metabarcoding) offers an alternative to describe biological communities. However, whether the metabarcoding approach meets the quality standards of benthic monitoring remains to be tested. Here, we compared morphological and eDNA/RNA-based inventories of metazoans from samples collected at 10 stations around a fish farm in Scotland, including near-cage and distant zones. For each of 5 replicate samples per station, we sequenced the V4 region of the 18S rRNA gene using the Illumina technology. After filtering, we obtained 841,766 metazoan sequences clustered in 163 Operational Taxonomic Units (OTUs). We assigned the OTUs by combining local BLAST searches with phylogenetic analyses. We calculated two commonly used indices: the Infaunal Trophic Index and the AZTI Marine Biotic Index. We found that the molecular data faithfully reflect the morphology-based indices and provides an equivalent assessment of the impact associated with fish farms activities. We advocate that future benthic monitoring should integrate metabarcoding as a rapid and accurate tool for the evaluation of the quality of marine benthic ecosystems. Nature Publishing Group 2015-09-10 /pmc/articles/PMC4564730/ /pubmed/26355099 http://dx.doi.org/10.1038/srep13932 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lejzerowicz, Franck Esling, Philippe Pillet, Loïc Wilding, Thomas A. Black, Kenneth D. Pawlowski, Jan High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title | High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title_full | High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title_fullStr | High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title_full_unstemmed | High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title_short | High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
title_sort | high-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564730/ https://www.ncbi.nlm.nih.gov/pubmed/26355099 http://dx.doi.org/10.1038/srep13932 |
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