Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights

Apart from its contribution to climate change, offshore oil and gas extraction is also a potential threat to the diversity and function of marine ecosystems. Routine monitoring of the environmental status of affected areas is therefore critical for effective management. While current morphology-base...

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Autores principales: Anders Lanzén, Thomas G. Dahlgren, Andrea Bagi, Jon Thomassen Hestetun
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Lenguaje:EN
Publicado: Elsevier 2021
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spelling oai:doaj.org-article:b0322fde0cc04616b40e4cdc5c3caf012021-12-01T04:58:42ZBenthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights1470-160X10.1016/j.ecolind.2021.108064https://doaj.org/article/b0322fde0cc04616b40e4cdc5c3caf012021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007299https://doaj.org/toc/1470-160XApart from its contribution to climate change, offshore oil and gas extraction is also a potential threat to the diversity and function of marine ecosystems. Routine monitoring of the environmental status of affected areas is therefore critical for effective management. While current morphology-based monitoring is relatively time consuming, costly and prone to identification bias, environmental DNA metabarcoding offers an attractive alternative for assessing the impacts of oil drilling, extraction or spills. However, to be ready for routine monitoring, its performance needs to be demonstrated through agreement with assessments based on physicochemical measurements and current bioindicators. To this end, we applied metabarcoding to sequence the metazoan (COI) and total eukaryotic (18S) benthic components. We targeted a range of sites, with a gradient of low to high level of impact, located near active production installations and reference sites, in the North and Barents Seas. Alpha diversity and community structure of both datasets correlated strongly with a physicochemical pressure index (PI) based on total hydrocarbons (THC), PAH16, Ba and Cu. Calculations of the macroinvertebrate-based Norwegian Sensitivity Index (NSI) based on COI metabarcoding data agreed well with corresponding morpho-taxonomy values and with the PI. Further, we identified a set of bioindicator taxa from both metabarcoding datasets, to develop novel biotic indices and demonstrate their predictive performance using cross-validation. Finally, we compared co-occurrence networks from impacted vs. non-impacted sites, to improve the understanding of the ecological consequences of impacts. Our study demonstrates that metabarcoding can act as a meaningful and relatively accurate complement to the current morpho-taxonomic approach.Anders LanzénThomas G. DahlgrenAndrea BagiJon Thomassen HestetunElsevierarticleEnvironmental DNAEnvironmental monitoringMarine ecosystemsMetabarcodingBenthosEnvironmental assessmentEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108064- (2021)
institution DOAJ
collection DOAJ
language EN
topic Environmental DNA
Environmental monitoring
Marine ecosystems
Metabarcoding
Benthos
Environmental assessment
Ecology
QH540-549.5
spellingShingle Environmental DNA
Environmental monitoring
Marine ecosystems
Metabarcoding
Benthos
Environmental assessment
Ecology
QH540-549.5
Anders Lanzén
Thomas G. Dahlgren
Andrea Bagi
Jon Thomassen Hestetun
Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
description Apart from its contribution to climate change, offshore oil and gas extraction is also a potential threat to the diversity and function of marine ecosystems. Routine monitoring of the environmental status of affected areas is therefore critical for effective management. While current morphology-based monitoring is relatively time consuming, costly and prone to identification bias, environmental DNA metabarcoding offers an attractive alternative for assessing the impacts of oil drilling, extraction or spills. However, to be ready for routine monitoring, its performance needs to be demonstrated through agreement with assessments based on physicochemical measurements and current bioindicators. To this end, we applied metabarcoding to sequence the metazoan (COI) and total eukaryotic (18S) benthic components. We targeted a range of sites, with a gradient of low to high level of impact, located near active production installations and reference sites, in the North and Barents Seas. Alpha diversity and community structure of both datasets correlated strongly with a physicochemical pressure index (PI) based on total hydrocarbons (THC), PAH16, Ba and Cu. Calculations of the macroinvertebrate-based Norwegian Sensitivity Index (NSI) based on COI metabarcoding data agreed well with corresponding morpho-taxonomy values and with the PI. Further, we identified a set of bioindicator taxa from both metabarcoding datasets, to develop novel biotic indices and demonstrate their predictive performance using cross-validation. Finally, we compared co-occurrence networks from impacted vs. non-impacted sites, to improve the understanding of the ecological consequences of impacts. Our study demonstrates that metabarcoding can act as a meaningful and relatively accurate complement to the current morpho-taxonomic approach.
format article
author Anders Lanzén
Thomas G. Dahlgren
Andrea Bagi
Jon Thomassen Hestetun
author_facet Anders Lanzén
Thomas G. Dahlgren
Andrea Bagi
Jon Thomassen Hestetun
author_sort Anders Lanzén
title Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
title_short Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
title_full Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
title_fullStr Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
title_full_unstemmed Benthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
title_sort benthic edna metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
publisher Elsevier
publishDate 2021
url https://doaj.org/article/b0322fde0cc04616b40e4cdc5c3caf01
work_keys_str_mv AT anderslanzen benthicednametabarcodingprovidesaccurateassessmentsofimpactfromoilextractionandecologicalinsights
AT thomasgdahlgren benthicednametabarcodingprovidesaccurateassessmentsofimpactfromoilextractionandecologicalinsights
AT andreabagi benthicednametabarcodingprovidesaccurateassessmentsofimpactfromoilextractionandecologicalinsights
AT jonthomassenhestetun benthicednametabarcodingprovidesaccurateassessmentsofimpactfromoilextractionandecologicalinsights
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