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

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...

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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
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
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Online Access:https://doi.org/10.5194/essd-13-4913-2021
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00058545 2024-09-15T17:53:37+00:00 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 2021-10 electronic https://doi.org/10.5194/essd-13-4913-2021 https://noa.gwlb.de/receive/cop_mods_00058545 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00058177/essd-13-4913-2021.pdf https://essd.copernicus.org/articles/13/4913/2021/essd-13-4913-2021.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-13-4913-2021 https://noa.gwlb.de/receive/cop_mods_00058545 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00058177/essd-13-4913-2021.pdf https://essd.copernicus.org/articles/13/4913/2021/essd-13-4913-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/essd-13-4913-2021 2024-06-26T04:36:34Z 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 the well-lit epipelagic ... Article in Journal/Newspaper Arctic Ocean Svalbard Spitsbergen Niedersächsisches Online-Archiv NOA Earth System Science Data 13 10 4913 4928
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
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 article
Verlagsveröffentlichung
description 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 the well-lit epipelagic ...
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 Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/essd-13-4913-2021
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https://essd.copernicus.org/articles/13/4913/2021/essd-13-4913-2021.pdf
genre Arctic Ocean
Svalbard
Spitsbergen
genre_facet Arctic Ocean
Svalbard
Spitsbergen
op_relation Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516
https://doi.org/10.5194/essd-13-4913-2021
https://noa.gwlb.de/receive/cop_mods_00058545
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00058177/essd-13-4913-2021.pdf
https://essd.copernicus.org/articles/13/4913/2021/essd-13-4913-2021.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
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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