Evidence map›Paper›PMID 41909257›Full record

ArticleFrontiers in microbiology2026

Dynamic changes in protist community composition along a surface water-groundwater transect in the Danube wetland Lobau, Vienna, Austria.

Angela Cukusic, Clemens Karwautz, Christina Murhammer, Grit Rasch, Marharyta Biletska, Christian Griebler

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026
    Review
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.

Angela CukusicDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Clemens KarwautzDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Christina MurhammerDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Grit RaschDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Marharyta BiletskaDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.
Christian GrieblerDepartment of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater remains an underexplored habitat for protistan diversity and community dynamics relative to better-studied surface aquatic environments. To address this knowledge gap, we compared protistan communities at two sites, a wetland surface water body and a nearby shallow aquifer, using molecular analysis, to shed light on environmental drivers of both total and active protist communities. The 2-year time series with monthly sampling provided insight into seasonal patterns, and barcoding enabled taxonomic assignment. Our study identified differences in community composition and trophic modes associated with habitat type. Protistan communities in shallow groundwater exhibited pronounced seasonal dynamics, apparently temporally linked to their surface water counterparts. Higher absolute water levels in the backwater than in groundwater, along with a significant fraction of phototrophic protists sampled from the shallow aquifer, are consistent with groundwater recharge from surface water influencing the groundwater protistan community composition.

Indexed as

groundwater ecologygroundwater protist communitiesmicroeukaryotesprotist diversitysurface-groundwater environmental gradient

Identifiers

PMID41909257
PMCPMC13017956

What OpenQuestion holds

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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.