Evidence map›Paper›PMID 30414334›Full record

ArticleThe Journal of eukaryotic microbiology2019

Protist Diversity and Seasonal Dynamics in Skagerrak Plankton Communities as Revealed by Metabarcoding and Microscopy.

Sandra Gran-Stadniczeñko, Elianne Egge, Vladyslava Hostyeva, Ramiro Logares, Wenche Eikrem, Bente Edvardsen

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Article in The Journal of eukaryotic microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sandra Gran-StadniczeñkoDepartment of Biosciences, University of Oslo, P. O. Box 1066 Blindern, 0316, Oslo, Norway.
Elianne EggeDepartment of Biosciences, University of Oslo, P. O. Box 1066 Blindern, 0316, Oslo, Norway.
Vladyslava HostyevaNorwegian Institute for Water Research, Gaustadalléen 21, 0349, Oslo, Norway.
Ramiro LogaresDepartment of Marine Biology and Oceanography, Institut de Ciències del Mar (CSIC), 08003, Barcelona, Catalonia, Spain.
Wenche EikremDepartment of Biosciences, University of Oslo, P. O. Box 1066 Blindern, 0316, Oslo, Norway.
Bente EdvardsenDepartment of Biosciences, University of Oslo, P. O. Box 1066 Blindern, 0316, Oslo, Norway.ORCID 0000-0002-6806-4807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protist community composition and seasonal dynamics are of major importance for the production of higher trophic levels, such as zooplankton and fish. Our aim was to reveal how the protist community in the Skagerrak changes through the seasons by combining high-throughput sequencing and microscopy of plankton collected monthly over two years. The V4 region of the 18S rRNA gene was amplified by eukaryote universal primers from the total RNA/cDNA. We found a strong seasonal variation in protist composition and proportional abundances, and a difference between two depths within the euphotic zone. Highest protist richness was found in late summer-early autumn, and lowest in winter. Temperature was the abiotic factor explaining most of the variation in diversity. Dinoflagellates was the most abundant and diverse group followed by ciliates and diatoms. We found about 70 new taxa recorded for the first time in the Skagerrak. The seasonal pattern in relative read abundance of major phytoplankton groups was well in accordance with microscopical biovolumes. This is the first metabarcoding study of the protist plankton community of all taxonomic groups and through seasons in the Skagerrak, which may serve as a baseline for future surveys to reveal effects of climate and environmental changes.

Indexed as

BiodiversityDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingMicroscopyNorwayPlanktonRNA, Ribosomal, 18SSeasonsRNA, Ribosomal, 18SBiovolumehigh-throughput sequencingOslofjordenrichness

Identifiers

PMID30414334
PMCPMC6587730

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.