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Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events

Marine ecosystems are changing rapidly as the oceans warm and become more acidic. The physical factors and the changes to ocean chemistry that they drive can all be measured with great precision. Changes in the biological composition of communities in different ocean regions are far more challenging...

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Autores principales: Berry, Tina E., Saunders, Benjamin J., Coghlan, Megan L., Stat, Michael, Jarman, Simon, Richardson, Anthony J., Davies, Claire H., Berry, Oliver, Harvey, Euan S., Bunce, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368286/
https://www.ncbi.nlm.nih.gov/pubmed/30735490
http://dx.doi.org/10.1371/journal.pgen.1007943
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author Berry, Tina E.
Saunders, Benjamin J.
Coghlan, Megan L.
Stat, Michael
Jarman, Simon
Richardson, Anthony J.
Davies, Claire H.
Berry, Oliver
Harvey, Euan S.
Bunce, Michael
author_facet Berry, Tina E.
Saunders, Benjamin J.
Coghlan, Megan L.
Stat, Michael
Jarman, Simon
Richardson, Anthony J.
Davies, Claire H.
Berry, Oliver
Harvey, Euan S.
Bunce, Michael
author_sort Berry, Tina E.
collection PubMed
description Marine ecosystems are changing rapidly as the oceans warm and become more acidic. The physical factors and the changes to ocean chemistry that they drive can all be measured with great precision. Changes in the biological composition of communities in different ocean regions are far more challenging to measure because most biological monitoring methods focus on a limited taxonomic or size range. Environmental DNA (eDNA) analysis has the potential to solve this problem in biological oceanography, as it is capable of identifying a huge phylogenetic range of organisms to species level. Here we develop and apply a novel multi-gene molecular toolkit to eDNA isolated from bulk plankton samples collected over a five-year period from a single site. This temporal scale and level of detail is unprecedented in eDNA studies. We identified consistent seasonal assemblages of zooplankton species, which demonstrates the ability of our toolkit to audit community composition. We were also able to detect clear departures from the regular seasonal patterns that occurred during an extreme marine heatwave. The integration of eDNA analyses with existing biotic and abiotic surveys delivers a powerful new long-term approach to monitoring the health of our world’s oceans in the context of a rapidly changing climate.
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spelling pubmed-63682862019-02-22 Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events Berry, Tina E. Saunders, Benjamin J. Coghlan, Megan L. Stat, Michael Jarman, Simon Richardson, Anthony J. Davies, Claire H. Berry, Oliver Harvey, Euan S. Bunce, Michael PLoS Genet Research Article Marine ecosystems are changing rapidly as the oceans warm and become more acidic. The physical factors and the changes to ocean chemistry that they drive can all be measured with great precision. Changes in the biological composition of communities in different ocean regions are far more challenging to measure because most biological monitoring methods focus on a limited taxonomic or size range. Environmental DNA (eDNA) analysis has the potential to solve this problem in biological oceanography, as it is capable of identifying a huge phylogenetic range of organisms to species level. Here we develop and apply a novel multi-gene molecular toolkit to eDNA isolated from bulk plankton samples collected over a five-year period from a single site. This temporal scale and level of detail is unprecedented in eDNA studies. We identified consistent seasonal assemblages of zooplankton species, which demonstrates the ability of our toolkit to audit community composition. We were also able to detect clear departures from the regular seasonal patterns that occurred during an extreme marine heatwave. The integration of eDNA analyses with existing biotic and abiotic surveys delivers a powerful new long-term approach to monitoring the health of our world’s oceans in the context of a rapidly changing climate. Public Library of Science 2019-02-08 /pmc/articles/PMC6368286/ /pubmed/30735490 http://dx.doi.org/10.1371/journal.pgen.1007943 Text en © 2019 Berry et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Berry, Tina E.
Saunders, Benjamin J.
Coghlan, Megan L.
Stat, Michael
Jarman, Simon
Richardson, Anthony J.
Davies, Claire H.
Berry, Oliver
Harvey, Euan S.
Bunce, Michael
Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title_full Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title_fullStr Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title_full_unstemmed Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title_short Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
title_sort marine environmental dna biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368286/
https://www.ncbi.nlm.nih.gov/pubmed/30735490
http://dx.doi.org/10.1371/journal.pgen.1007943
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