Evidence map›Paper›PMID 37669980›Full record

ArticleScientific reports2023

Linking extreme seasonality and gene expression in Arctic marine protists.

Magdalena Wutkowska, Anna Vader, Ramiro Logares, Eric Pelletier, Tove M Gabrielsen

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Magdalena WutkowskaDepartment of Arctic Biology, The University Centre in Svalbard, Longyearbyen, Norway. magda.wutkowska@gmail.com.ORCID http://orcid.org/0000-0001-8892-5494
Anna VaderDepartment of Arctic Biology, The University Centre in Svalbard, Longyearbyen, Norway.ORCID http://orcid.org/0000-0002-6566-4292
Ramiro LogaresInstitute of Marine Sciences (ICM), CSIC, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-8213-0604
Eric PelletierGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.ORCID http://orcid.org/0000-0003-4228-1712
Tove M GabrielsenDepartment of Arctic Biology, The University Centre in Svalbard, Longyearbyen, Norway.ORCID http://orcid.org/0000-0001-5801-4569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At high latitudes, strong seasonal differences in light availability affect marine organisms and regulate the timing of ecosystem processes. Marine protists are key players in Arctic aquatic ecosystems, yet little is known about their ecological roles over yearly cycles. This is especially true for the dark polar night period, which up until recently was assumed to be devoid of biological activity. A 12 million transcripts catalogue was built from 0.45 to 10 μm protist assemblages sampled over 13 months in a time series station in an Arctic fjord in Svalbard. Community gene expression was correlated with seasonality, with light as the main driving factor. Transcript diversity and evenness were higher during polar night compared to polar day. Light-dependent functions had higher relative expression during polar day, except phototransduction. 64% of the most expressed genes could not be functionally annotated, yet up to 78% were identified in Arctic samples from Tara Oceans, suggesting that Arctic marine assemblages are distinct from those from other oceans. Our study increases understanding of the links between extreme seasonality and biological processes in pico- and nanoplanktonic protists. Our results set the ground for future monitoring studies investigating the seasonal impact of climate change on the communities of microbial eukaryotes in the High Arctic.

Indexed as

Climate ChangeEcosystemEstuariesEukaryotaGene Expression

Identifiers

PMID37669980
PMCPMC10480425

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Registered trials

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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.