Evidence map›Paper›PMID 32317738›Full record

ArticleCommunications biology2020

Chytrid fungi distribution and co-occurrence with diatoms correlate with sea ice melt in the Arctic Ocean.

Estelle S Kilias, Leandro Junges, Luka Šupraha, Guy Leonard, Katja Metfies, Thomas A Richards

Abstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Fungal parasites infecting NNature communications · 2026
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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.

Estelle S KiliasUniversity of Exeter, Bioscience, Living System Institute, Exeter, UK. E.kilias@exeter.ac.uk.ORCID http://orcid.org/0000-0002-6081-3316
Leandro JungesCentre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, UK.
Luka ŠuprahaUniversity of Oslo, Department of Biosciences, Oslo, Norway.ORCID http://orcid.org/0000-0003-2613-945X
Guy LeonardUniversity of Oxford, Department of Zoology, Oxford, UK.
Katja MetfiesAlfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany.
Thomas A RichardsUniversity of Oxford, Department of Zoology, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global warming is rapidly altering physicochemical attributes of Arctic waters. These changes are predicted to alter microbial networks, potentially perturbing wider community functions including parasite infections and saprotrophic recycling of biogeochemical compounds. Specifically, the interaction between autotrophic phytoplankton and heterotrophic fungi e.g. chytrids (fungi with swimming tails) requires further analysis. Here, we investigate the diversity and distribution patterns of fungi in relation to abiotic variables during one record sea ice minimum in 2012 and explore co-occurrence of chytrids with diatoms, key primary producers in these changing environments. We show that chytrid fungi are primarily encountered at sites influenced by sea ice melt. Furthermore, chytrid representation positively correlates with sea ice-associated diatoms such as Fragilariopsis or Nitzschia. Our findings identify a potential future scenario where chytrid representation within these communities increases as a consequence of ice retreat, further altering community structure through perturbation of parasitic or saprotrophic interaction networks.

Indexed as

Global WarmingArctic RegionsDiatomsDNA, RibosomalEcosystemEnvironmental MonitoringFungiIcePhylogenyRibotypingRNA, FungalSeawaterWater MicrobiologyDNA, RibosomalIceRNA, Fungal

Identifiers

PMID32317738
PMCPMC7174370

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.