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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Inter-Research
2016-06-01
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| Series: | Aquaculture Environment Interactions |
| Online Access: | https://www.int-res.com/abstracts/aei/v8/p371-386/ |
| _version_ | 1819293132830801920 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-24T04:05:34Z |
| format | Article |
| id | doaj.art-36ac5eb0a3324bbcb560b9daf5ca88ee |
| institution | Directory Open Access Journal |
| issn | 1869-215X 1869-7534 |
| language | English |
| last_indexed | 2024-12-24T04:05:34Z |
| publishDate | 2016-06-01 |
| publisher | Inter-Research |
| record_format | Article |
| series | Aquaculture Environment Interactions |
| spelling | doaj.art-36ac5eb0a3324bbcb560b9daf5ca88ee2022-12-21T17:16:12ZengInter-ResearchAquaculture Environment Interactions1869-215X1869-75342016-06-01837138610.3354/aei00182Benthic monitoring of salmon farms in Norway using foraminiferal metabarcodingJ Pawlowski0P Esling1F Lejzerowicz2T Cordier3JA Visco4CIM Martins5A Kvalvik6K Staven7T Cedhagen8Department of Genetics and Evolution, University of Geneva, 1211 Geneva, SwitzerlandDepartment of Genetics and Evolution, University of Geneva, 1211 Geneva, SwitzerlandDepartment of Genetics and Evolution, University of Geneva, 1211 Geneva, SwitzerlandDepartment of Genetics and Evolution, University of Geneva, 1211 Geneva, SwitzerlandID-Gene ecodiagnostics Ltd, 1228 Plan-les-Ouates, SwitzerlandMarine Harvest ASA, Bergen, 5035 Bergen, NorwayMarine Harvest Norway, Region West,6004 Ålesund, NorwayMarine Harvest Norway, Region Mid, 7777 Flatanger, NorwayDepartment of Bioscience, Section of Aquatic Biology, University of Aarhus, 8000 Aarhus, DenmarkThe 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.https://www.int-res.com/abstracts/aei/v8/p371-386/ |
| spellingShingle | 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 Aquaculture Environment Interactions |
| title | 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_short | Benthic monitoring of salmon farms in Norway using foraminiferal metabarcoding |
| title_sort | benthic monitoring of salmon farms in norway using foraminiferal metabarcoding |
| url | https://www.int-res.com/abstracts/aei/v8/p371-386/ |
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