Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding

The rapid growth of the salmon industry necessitates the development of fast and accurate tools to assess its environmental impact. Macrobenthic monitoring is commonly used to measure the impact of organic enrichment associated with salmon farm activities. However, classical benthic monitoring can h...

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Autores principales:	J Pawlowski, P Esling, F Lejzerowicz, T Cordier, JA Visco, CIM Martins, A Kvalvik, K Staven, T Cedhagen
Formato:	article
Lenguaje:	EN
Publicado:	Inter-Research 2016
Materias:	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/36ac5eb0a3324bbcb560b9daf5ca88ee
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spelling	oai:doaj.org-article:36ac5eb0a3324bbcb560b9daf5ca88ee2021-11-11T11:03:59ZBenthic monitoring of salmon farms in Norway using foraminiferal metabarcoding1869-215X1869-753410.3354/aei00182https://doaj.org/article/36ac5eb0a3324bbcb560b9daf5ca88ee2016-06-01T00:00:00Zhttps://www.int-res.com/abstracts/aei/v8/p371-386/https://doaj.org/toc/1869-215Xhttps://doaj.org/toc/1869-7534The rapid growth of the salmon industry necessitates the development of fast and accurate tools to assess its environmental impact. Macrobenthic monitoring is commonly used to measure the impact of organic enrichment associated with salmon farm activities. However, classical benthic monitoring can hardly answer the rapidly growing demand because the morphological identification of macro-invertebrates is time-consuming, expensive and requires taxonomic expertise. Environmental DNA (eDNA) metabarcoding of meiofauna-sized organisms, such as Foraminifera, was proposed to overcome the drawbacks of macrofauna-based benthic monitoring. Here, we tested the application of foraminiferal metabarcoding to benthic monitoring of salmon farms in Norway. We analysed 140 samples of eDNA and environmental RNA (eRNA) extracted from surface sediment samples collected at 4 salmon farming sites in Norway. We sequenced the variable region 37f of the 18S rRNA gene specific to Foraminifera. We compared our data to the results of macrofaunal surveys of the same sites and tested the congruence between various diversity indices inferred from metabarcoding and morphological data. The results of our study confirm the usefulness of Foraminifera as bioindicators of organic enrichment associated with salmon farming. The foraminiferal diversity increased with the distance to fish cages, and metabarcoding provides an assessment of the ecological quality comparable to the morphological analyses. The foraminiferal metabarcoding approach appears to be a promising alternative to classical benthic monitoring, providing a solution to the morpho-taxonomic bottleneck of macrofaunal surveys.J PawlowskiP EslingF LejzerowiczT CordierJA ViscoCIM MartinsA KvalvikK StavenT CedhagenInter-ResearcharticleAquaculture. Fisheries. AnglingSH1-691EcologyQH540-549.5ENAquaculture Environment Interactions, Vol 8, Pp 371-386 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5
spellingShingle	Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 J Pawlowski P Esling F Lejzerowicz T Cordier JA Visco CIM Martins A Kvalvik K Staven T Cedhagen Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
description	The rapid growth of the salmon industry necessitates the development of fast and accurate tools to assess its environmental impact. Macrobenthic monitoring is commonly used to measure the impact of organic enrichment associated with salmon farm activities. However, classical benthic monitoring can hardly answer the rapidly growing demand because the morphological identification of macro-invertebrates is time-consuming, expensive and requires taxonomic expertise. Environmental DNA (eDNA) metabarcoding of meiofauna-sized organisms, such as Foraminifera, was proposed to overcome the drawbacks of macrofauna-based benthic monitoring. Here, we tested the application of foraminiferal metabarcoding to benthic monitoring of salmon farms in Norway. We analysed 140 samples of eDNA and environmental RNA (eRNA) extracted from surface sediment samples collected at 4 salmon farming sites in Norway. We sequenced the variable region 37f of the 18S rRNA gene specific to Foraminifera. We compared our data to the results of macrofaunal surveys of the same sites and tested the congruence between various diversity indices inferred from metabarcoding and morphological data. The results of our study confirm the usefulness of Foraminifera as bioindicators of organic enrichment associated with salmon farming. The foraminiferal diversity increased with the distance to fish cages, and metabarcoding provides an assessment of the ecological quality comparable to the morphological analyses. The foraminiferal metabarcoding approach appears to be a promising alternative to classical benthic monitoring, providing a solution to the morpho-taxonomic bottleneck of macrofaunal surveys.
format	article
author	J Pawlowski P Esling F Lejzerowicz T Cordier JA Visco CIM Martins A Kvalvik K Staven T Cedhagen
author_facet	J Pawlowski P Esling F Lejzerowicz T Cordier JA Visco CIM Martins A Kvalvik K Staven T Cedhagen
author_sort	J Pawlowski
title	Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
title_short	Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
title_full	Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
title_fullStr	Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
title_full_unstemmed	Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding
title_sort	benthic monitoring of salmon farms in norway using foraminiferal metabarcoding
publisher	Inter-Research
publishDate	2016
url	https://doaj.org/article/36ac5eb0a3324bbcb560b9daf5ca88ee
work_keys_str_mv	AT jpawlowski benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT pesling benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT flejzerowicz benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT tcordier benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT javisco benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT cimmartins benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT akvalvik benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT kstaven benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding AT tcedhagen benthicmonitoringofsalmonfarmsinnorwayusingforaminiferalmetabarcoding
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Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding

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