An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth

International audience Arctic marine protist communities have been understudied due to challenging sampling conditions, in particular during winter and in deep waters. The aim of this study was to improve our knowledge on Arctic protist diversity through the year, in both the epipelagic (< 200 m...

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Published in:Earth System Science Data
Main Authors: Egge, Elianne, Elferink, Stephanie, Vaulot, Daniel, John, Uwe, Bratbak, Gunnar, Larsen, Aud, Edvardsen, Bente
Other Authors: University of Oslo (UiO), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Adaptation et diversité en milieu marin (AD2M), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Bergen (UiB), NORCE Norwegian Research Center
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03784323
https://hal.archives-ouvertes.fr/hal-03784323/document
https://hal.archives-ouvertes.fr/hal-03784323/file/Egge_2021_ESSD.pdf
https://doi.org/10.5194/essd-13-4913-2021
id ftunivnantes:oai:HAL:hal-03784323v1
record_format openpolar
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic [SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology
[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]
spellingShingle [SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology
[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]
Egge, Elianne
Elferink, Stephanie
Vaulot, Daniel
John, Uwe
Bratbak, Gunnar
Larsen, Aud
Edvardsen, Bente
An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
topic_facet [SDE.BE]Environmental Sciences/Biodiversity and Ecology
[SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology
[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]
description International audience Arctic marine protist communities have been understudied due to challenging sampling conditions, in particular during winter and in deep waters. The aim of this study was to improve our knowledge on Arctic protist diversity through the year, in both the epipelagic (< 200 m depth) and mesopelagic zones (200–1000 m depth). Sampling campaigns were performed in 2014, during five different months, to capture the various phases of the Arctic primary production: January (winter), March (pre-bloom), May (spring bloom), August (post-bloom), and November (early winter). The cruises were undertaken west and north of the Svalbard archipelago, where warmer Atlantic waters from the West Spitsbergen Current meet cold Arctic waters from the Arctic Ocean. From each cruise, station, and depth, 50 L of seawater was collected, and the plankton was size-fractionated by serial filtration into four size fractions between 0.45–200 µm, representing picoplankton (0.45–3 µm), small and large nanoplankton (3–10 and 10–50 µm, respectively), and microplankton (50–200 µm). In addition, vertical net hauls were taken from 50 m depth to the surface at selected stations. The net hauls were fractionated into the large nanoplankton (10–50 µm) and microplankton (50–200 µm) fractions. From the plankton samples DNA was extracted, the V4 region of the 18S rRNA-gene was amplified by polymerase chain reaction (PCR) with universal eukaryote primers, and the amplicons were sequenced by Illumina high-throughput sequencing. Sequences were clustered into amplicon sequence variants (ASVs), representing protist genotypes, with the dada2 pipeline. Taxonomic classification was made against the curated Protist Ribosomal Reference database (PR2). Altogether, 6536 protist ASVs were obtained (including 54 fungal ASVs). Both ASV richness and taxonomic composition varied between size fractions, seasons, and depths. ASV richness was generally higher in the smaller fractions and higher in winter and the mesopelagic samples than in samples from ...
author2 University of Oslo (UiO)
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)
Adaptation et diversité en milieu marin (AD2M)
Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
University of Bergen (UiB)
NORCE Norwegian Research Center
format Article in Journal/Newspaper
author Egge, Elianne
Elferink, Stephanie
Vaulot, Daniel
John, Uwe
Bratbak, Gunnar
Larsen, Aud
Edvardsen, Bente
author_facet Egge, Elianne
Elferink, Stephanie
Vaulot, Daniel
John, Uwe
Bratbak, Gunnar
Larsen, Aud
Edvardsen, Bente
author_sort Egge, Elianne
title An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
title_short An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
title_full An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
title_fullStr An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
title_full_unstemmed An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
title_sort 18s v4 rrna metabarcoding dataset of protist diversity in the atlantic inflow to the arctic ocean, through the year and down to 1000 m depth
publisher HAL CCSD
publishDate 2021
url https://hal.archives-ouvertes.fr/hal-03784323
https://hal.archives-ouvertes.fr/hal-03784323/document
https://hal.archives-ouvertes.fr/hal-03784323/file/Egge_2021_ESSD.pdf
https://doi.org/10.5194/essd-13-4913-2021
geographic Arctic
Arctic Ocean
Svalbard
Svalbard Archipelago
geographic_facet Arctic
Arctic Ocean
Svalbard
Svalbard Archipelago
genre Arctic
Arctic Ocean
Svalbard
Spitsbergen
genre_facet Arctic
Arctic Ocean
Svalbard
Spitsbergen
op_source ISSN: 1866-3508
Earth System Science Data
https://hal.archives-ouvertes.fr/hal-03784323
Earth System Science Data, Copernicus Publications, 2021, 13 (10), pp.4913 - 4928. &#x27E8;10.5194/essd-13-4913-2021&#x27E9;
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-4913-2021
hal-03784323
https://hal.archives-ouvertes.fr/hal-03784323
https://hal.archives-ouvertes.fr/hal-03784323/document
https://hal.archives-ouvertes.fr/hal-03784323/file/Egge_2021_ESSD.pdf
doi:10.5194/essd-13-4913-2021
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/essd-13-4913-2021
container_title Earth System Science Data
container_volume 13
container_issue 10
container_start_page 4913
op_container_end_page 4928
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spelling ftunivnantes:oai:HAL:hal-03784323v1 2023-05-15T14:48:43+02:00 An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth Egge, Elianne Elferink, Stephanie Vaulot, Daniel John, Uwe Bratbak, Gunnar Larsen, Aud Edvardsen, Bente University of Oslo (UiO) Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) Adaptation et diversité en milieu marin (AD2M) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) University of Bergen (UiB) NORCE Norwegian Research Center 2021 https://hal.archives-ouvertes.fr/hal-03784323 https://hal.archives-ouvertes.fr/hal-03784323/document https://hal.archives-ouvertes.fr/hal-03784323/file/Egge_2021_ESSD.pdf https://doi.org/10.5194/essd-13-4913-2021 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-4913-2021 hal-03784323 https://hal.archives-ouvertes.fr/hal-03784323 https://hal.archives-ouvertes.fr/hal-03784323/document https://hal.archives-ouvertes.fr/hal-03784323/file/Egge_2021_ESSD.pdf doi:10.5194/essd-13-4913-2021 info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://hal.archives-ouvertes.fr/hal-03784323 Earth System Science Data, Copernicus Publications, 2021, 13 (10), pp.4913 - 4928. &#x27E8;10.5194/essd-13-4913-2021&#x27E9; [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.5194/essd-13-4913-2021 2022-09-27T22:54:02Z International audience Arctic marine protist communities have been understudied due to challenging sampling conditions, in particular during winter and in deep waters. The aim of this study was to improve our knowledge on Arctic protist diversity through the year, in both the epipelagic (< 200 m depth) and mesopelagic zones (200–1000 m depth). Sampling campaigns were performed in 2014, during five different months, to capture the various phases of the Arctic primary production: January (winter), March (pre-bloom), May (spring bloom), August (post-bloom), and November (early winter). The cruises were undertaken west and north of the Svalbard archipelago, where warmer Atlantic waters from the West Spitsbergen Current meet cold Arctic waters from the Arctic Ocean. From each cruise, station, and depth, 50 L of seawater was collected, and the plankton was size-fractionated by serial filtration into four size fractions between 0.45–200 µm, representing picoplankton (0.45–3 µm), small and large nanoplankton (3–10 and 10–50 µm, respectively), and microplankton (50–200 µm). In addition, vertical net hauls were taken from 50 m depth to the surface at selected stations. The net hauls were fractionated into the large nanoplankton (10–50 µm) and microplankton (50–200 µm) fractions. From the plankton samples DNA was extracted, the V4 region of the 18S rRNA-gene was amplified by polymerase chain reaction (PCR) with universal eukaryote primers, and the amplicons were sequenced by Illumina high-throughput sequencing. Sequences were clustered into amplicon sequence variants (ASVs), representing protist genotypes, with the dada2 pipeline. Taxonomic classification was made against the curated Protist Ribosomal Reference database (PR2). Altogether, 6536 protist ASVs were obtained (including 54 fungal ASVs). Both ASV richness and taxonomic composition varied between size fractions, seasons, and depths. ASV richness was generally higher in the smaller fractions and higher in winter and the mesopelagic samples than in samples from ... Article in Journal/Newspaper Arctic Arctic Ocean Svalbard Spitsbergen Université de Nantes: HAL-UNIV-NANTES Arctic Arctic Ocean Svalbard Svalbard Archipelago Earth System Science Data 13 10 4913 4928