A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas
International audience In a world of declining biodiversity, monitoring is becoming crucial. Molecular methods , such as metabarcoding, have the potential to rapidly expand our knowledge of biodiversity, supporting assessment, management, and conservation. In the marine environment, where hard subst...
Published in: | Ecology and Evolution |
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Main Authors: | , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2018
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Subjects: | |
Online Access: | https://doi.org/10.1002/ece3.4283 https://hal.archives-ouvertes.fr/hal-01886882/file/2018_Cahill_Ecology_and_Evolution_A%20comparative%20analysis%20of%20metabarcoding%20and%20morphology-based%20identification%20of%20benthic%20communities%20across%20different%20regional%20seas.pdf https://hal.archives-ouvertes.fr/hal-01886882 |
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fttriple:oai:gotriple.eu:10670/1.6b0fn3 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
metabarcoding COI innovative monitoring marine invertebrates Artificial Substrate Unit (ASU) envir geo |
spellingShingle |
metabarcoding COI innovative monitoring marine invertebrates Artificial Substrate Unit (ASU) envir geo Cahill, Abigail Pearman, John, Borja, Angel Carugati, Laura Carvalho, Susana Danovaro, Roberto Dashfield, Sarah David, Romain Feral, Jean-Pierre Olenin, Sergej Šiaulys, Andrius Somerfield, Paul Trayanova, Antoaneta Uyarra, Maria Chenuil, Anne A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
topic_facet |
metabarcoding COI innovative monitoring marine invertebrates Artificial Substrate Unit (ASU) envir geo |
description |
International audience In a world of declining biodiversity, monitoring is becoming crucial. Molecular methods , such as metabarcoding, have the potential to rapidly expand our knowledge of biodiversity, supporting assessment, management, and conservation. In the marine environment, where hard substrata are more difficult to access than soft bottoms for quantitative ecological studies, Artificial Substrate Units (ASUs) allow for standardized sampling. We deployed ASUs within five regional seas (Baltic Sea, Northeast Atlantic Ocean, Mediterranean Sea, Black Sea, and Red Sea) for 12-26 months to measure the diversity and community composition of macroinvertebrates. We identified invertebrates using a traditional approach based on morphological characters, and by metabarcoding of the mitochondrial cytochrome oxidase I (COI) gene. We compared community composition and diversity metrics obtained using the two methods. Diversity was significantly correlated between data types. Metabarcoding of ASUs allowed for robust comparisons of community composition and diversity, but not all groups were successfully sequenced. All locations were significantly different in taxonomic composition as measured with both kinds of data. We recovered previously known regional biogeographical patterns in both datasets (e.g., low species diversity in the Black and Baltic Seas, affinity between the Bay of Biscay and the Mediterranean). We conclude that the two approaches provide complementary information and that metabarcoding shows great promise for marine monitoring. However, until its pitfalls are addressed, the use of metabarcoding in monitoring of rocky benthic assemblages should be used in addition to classical approaches rather than instead of them. |
author2 |
Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE) Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement IRD : UMR237-Centre National de la Recherche Scientifique (CNRS) King Abdullah University of Science and Technology (KAUST) AZTI - Tecnalia Dipartimento di Scienze della Vita e dell’Ambiente Università Politecnica delle Marche Ancona (UNIVPM) Department of Life and Environmental Sciences Polytechnic University of Marche Klaipėda University Lituanie (KU) Institute of Oceanology of Bulgarian Academy of Sciences (IO-BAS) Bulgarian Academy of Sciences (BAS) DEVOTES project |
format |
Article in Journal/Newspaper |
author |
Cahill, Abigail Pearman, John, Borja, Angel Carugati, Laura Carvalho, Susana Danovaro, Roberto Dashfield, Sarah David, Romain Feral, Jean-Pierre Olenin, Sergej Šiaulys, Andrius Somerfield, Paul Trayanova, Antoaneta Uyarra, Maria Chenuil, Anne |
author_facet |
Cahill, Abigail Pearman, John, Borja, Angel Carugati, Laura Carvalho, Susana Danovaro, Roberto Dashfield, Sarah David, Romain Feral, Jean-Pierre Olenin, Sergej Šiaulys, Andrius Somerfield, Paul Trayanova, Antoaneta Uyarra, Maria Chenuil, Anne |
author_sort |
Cahill, Abigail |
title |
A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
title_short |
A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
title_full |
A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
title_fullStr |
A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
title_full_unstemmed |
A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
title_sort |
comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://doi.org/10.1002/ece3.4283 https://hal.archives-ouvertes.fr/hal-01886882/file/2018_Cahill_Ecology_and_Evolution_A%20comparative%20analysis%20of%20metabarcoding%20and%20morphology-based%20identification%20of%20benthic%20communities%20across%20different%20regional%20seas.pdf https://hal.archives-ouvertes.fr/hal-01886882 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 2045-7758 Ecology and Evolution Ecology and Evolution, Wiley Open Access, 2018, 8 (17), pp.8908-8920. ⟨10.1002/ece3.4283⟩ |
op_relation |
hal-01886882 doi:10.1002/ece3.4283 10670/1.6b0fn3 https://hal.archives-ouvertes.fr/hal-01886882/file/2018_Cahill_Ecology_and_Evolution_A%20comparative%20analysis%20of%20metabarcoding%20and%20morphology-based%20identification%20of%20benthic%20communities%20across%20different%20regional%20seas.pdf https://hal.archives-ouvertes.fr/hal-01886882 |
op_rights |
other |
op_doi |
https://doi.org/10.1002/ece3.4283 |
container_title |
Ecology and Evolution |
container_volume |
8 |
container_issue |
17 |
container_start_page |
8908 |
op_container_end_page |
8920 |
_version_ |
1766143207994818560 |
spelling |
fttriple:oai:gotriple.eu:10670/1.6b0fn3 2023-05-15T17:41:34+02:00 A comparative analysis of metabarcoding and morphology-based identification of benthic communities across different regional seas Cahill, Abigail Pearman, John, Borja, Angel Carugati, Laura Carvalho, Susana Danovaro, Roberto Dashfield, Sarah David, Romain Feral, Jean-Pierre Olenin, Sergej Šiaulys, Andrius Somerfield, Paul Trayanova, Antoaneta Uyarra, Maria Chenuil, Anne Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE) Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement IRD : UMR237-Centre National de la Recherche Scientifique (CNRS) King Abdullah University of Science and Technology (KAUST) AZTI - Tecnalia Dipartimento di Scienze della Vita e dell’Ambiente Università Politecnica delle Marche Ancona (UNIVPM) Department of Life and Environmental Sciences Polytechnic University of Marche Klaipėda University Lituanie (KU) Institute of Oceanology of Bulgarian Academy of Sciences (IO-BAS) Bulgarian Academy of Sciences (BAS) DEVOTES project 2018-01-01 https://doi.org/10.1002/ece3.4283 https://hal.archives-ouvertes.fr/hal-01886882/file/2018_Cahill_Ecology_and_Evolution_A%20comparative%20analysis%20of%20metabarcoding%20and%20morphology-based%20identification%20of%20benthic%20communities%20across%20different%20regional%20seas.pdf https://hal.archives-ouvertes.fr/hal-01886882 en eng HAL CCSD Wiley Open Access hal-01886882 doi:10.1002/ece3.4283 10670/1.6b0fn3 https://hal.archives-ouvertes.fr/hal-01886882/file/2018_Cahill_Ecology_and_Evolution_A%20comparative%20analysis%20of%20metabarcoding%20and%20morphology-based%20identification%20of%20benthic%20communities%20across%20different%20regional%20seas.pdf https://hal.archives-ouvertes.fr/hal-01886882 other Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 2045-7758 Ecology and Evolution Ecology and Evolution, Wiley Open Access, 2018, 8 (17), pp.8908-8920. ⟨10.1002/ece3.4283⟩ metabarcoding COI innovative monitoring marine invertebrates Artificial Substrate Unit (ASU) envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.1002/ece3.4283 2023-01-22T18:12:54Z International audience In a world of declining biodiversity, monitoring is becoming crucial. Molecular methods , such as metabarcoding, have the potential to rapidly expand our knowledge of biodiversity, supporting assessment, management, and conservation. In the marine environment, where hard substrata are more difficult to access than soft bottoms for quantitative ecological studies, Artificial Substrate Units (ASUs) allow for standardized sampling. We deployed ASUs within five regional seas (Baltic Sea, Northeast Atlantic Ocean, Mediterranean Sea, Black Sea, and Red Sea) for 12-26 months to measure the diversity and community composition of macroinvertebrates. We identified invertebrates using a traditional approach based on morphological characters, and by metabarcoding of the mitochondrial cytochrome oxidase I (COI) gene. We compared community composition and diversity metrics obtained using the two methods. Diversity was significantly correlated between data types. Metabarcoding of ASUs allowed for robust comparisons of community composition and diversity, but not all groups were successfully sequenced. All locations were significantly different in taxonomic composition as measured with both kinds of data. We recovered previously known regional biogeographical patterns in both datasets (e.g., low species diversity in the Black and Baltic Seas, affinity between the Bay of Biscay and the Mediterranean). We conclude that the two approaches provide complementary information and that metabarcoding shows great promise for marine monitoring. However, until its pitfalls are addressed, the use of metabarcoding in monitoring of rocky benthic assemblages should be used in addition to classical approaches rather than instead of them. Article in Journal/Newspaper Northeast Atlantic Unknown Ecology and Evolution 8 17 8908 8920 |