An 18S V4 rDNA 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, both in the epipelagic (< 200 m depth) and mesopelagic...

Full description

Bibliographic Details
Main Authors: Egge, Elianne, Elferink, Stephanie, Vaulot, Daniel, John, Uwe, Bratbak, Gunnar, Larsen, Aud, Edvardsen, Bente
Format: Dataset
Language:unknown
Published: SEANOE 2014
Subjects:
18s
Online Access:https://doi.org/10.17882/79823
id ftseanoe:oai:seanoe.org:79823
record_format openpolar
spelling ftseanoe:oai:seanoe.org:79823 2023-05-15T14:41:19+02:00 An 18S V4 rDNA 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 North 83.29221, South 75.982314, East 20.961915, West -4.96582 2014 https://doi.org/10.17882/79823 unknown SEANOE doi:10.17882/79823 http://dx.doi.org/10.17882/79823 CC-BY CC-BY protists metabarcoding Arctic 18s rDNA microbial eukaryotes epipelagic zone mesopelagic zone seasonality winter spring bloom post bloom West Spitsbergen Current Svalbard Protist Ribosomal Reference Database picoplankton nanoplankton microplankton size fractions dataset 2014 ftseanoe https://doi.org/10.17882/79823 2021-12-09T18:23:21Z 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, both in 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 meets cold Arctic waters from the Arctic Ocean. From each cruise, station, and depth, 50 L of sea water were collected and the plankton was size-fractionated by serial filtration into four size fractions between 0.45-200 µm, representing the picoplankton, nanoplankton and microplankton. In addition vertical net hauls were taken from 50 m depth to the surface at selected stations. From the plankton samples DNA was extracted, the V4 region of the 18S rRNA-gene was amplified by 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). Here we present the ASV table, metadata for the sequenced size-fractionated plankton samples, and environmental data from the corresponding water masses. Fastq-files with raw reads are available from the European Nucleotide Archive, under project accession number PRJEB40133. Dataset Arctic Arctic Ocean Svalbard Spitsbergen SEANOE (Sea scientific open data publication) Arctic Arctic Ocean Svalbard Svalbard Archipelago
institution Open Polar
collection SEANOE (Sea scientific open data publication)
op_collection_id ftseanoe
language unknown
topic protists
metabarcoding
Arctic
18s
rDNA
microbial eukaryotes
epipelagic zone
mesopelagic zone
seasonality
winter
spring bloom
post bloom
West Spitsbergen Current
Svalbard
Protist Ribosomal Reference Database
picoplankton
nanoplankton
microplankton
size fractions
spellingShingle protists
metabarcoding
Arctic
18s
rDNA
microbial eukaryotes
epipelagic zone
mesopelagic zone
seasonality
winter
spring bloom
post bloom
West Spitsbergen Current
Svalbard
Protist Ribosomal Reference Database
picoplankton
nanoplankton
microplankton
size fractions
Egge, Elianne
Elferink, Stephanie
Vaulot, Daniel
John, Uwe
Bratbak, Gunnar
Larsen, Aud
Edvardsen, Bente
An 18S V4 rDNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth.
topic_facet protists
metabarcoding
Arctic
18s
rDNA
microbial eukaryotes
epipelagic zone
mesopelagic zone
seasonality
winter
spring bloom
post bloom
West Spitsbergen Current
Svalbard
Protist Ribosomal Reference Database
picoplankton
nanoplankton
microplankton
size fractions
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, both in 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 meets cold Arctic waters from the Arctic Ocean. From each cruise, station, and depth, 50 L of sea water were collected and the plankton was size-fractionated by serial filtration into four size fractions between 0.45-200 µm, representing the picoplankton, nanoplankton and microplankton. In addition vertical net hauls were taken from 50 m depth to the surface at selected stations. From the plankton samples DNA was extracted, the V4 region of the 18S rRNA-gene was amplified by 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). Here we present the ASV table, metadata for the sequenced size-fractionated plankton samples, and environmental data from the corresponding water masses. Fastq-files with raw reads are available from the European Nucleotide Archive, under project accession number PRJEB40133.
format Dataset
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 rDNA 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 rDNA 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 rDNA 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 rDNA 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 rDNA 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 rdna metabarcoding dataset of protist diversity in the atlantic inflow to the arctic ocean, through the year and down to 1000 m depth.
publisher SEANOE
publishDate 2014
url https://doi.org/10.17882/79823
op_coverage North 83.29221, South 75.982314, East 20.961915, West -4.96582
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_relation doi:10.17882/79823
http://dx.doi.org/10.17882/79823
op_rights CC-BY
op_rightsnorm CC-BY
op_doi https://doi.org/10.17882/79823
_version_ 1766313112026218496