Evidence map›Paper›PMID 41093963›Full record

ArticleScientific reports2025

Niche formation of Rozellomycota in wastewater treatment model reactors.

Katrin Stüer-Patowsky, Eva Gega, Lijia Cao, Christian Wurzbacher

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Katrin Stüer-PatowskyChair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748, Garching, Germany.ORCID http://orcid.org/0009-0001-1470-3095
Eva GegaSanitary Engineering and Waste Management, University of the Bundeswehr Munich, Werner-Heisenberg-Weg 39, 85577, Neubiberg, Germany.
Lijia CaoChair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748, Garching, Germany.ORCID http://orcid.org/0000-0002-3074-4727
Christian WurzbacherChair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748, Garching, Germany. c.wurzbacher@tum.de.ORCID http://orcid.org/0000-0001-7418-0831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive understanding of microbial processes is a vital objective of wastewater treatment research efforts. The fungal phylum Rozellomycota is consistently present in relatively high abundances in wastewater treatment plants, being one of the dominant eukaryotic organisms. However, their impact is unknown. In this study, we aim to enlighten the abundances and roles of Rozellomycota as dominant eukaryotes in wastewater treatment model reactors. Replicated down-flow hanging sponge reactor systems, chemical water parameter surveillance, quantitative and qualitative DNA and cDNA analysis, and abundance correlations were used. Rozellomycota exhibited around 50 distinguishable 18S sequence variants as the second most abundant group, next to ciliates. They don't show a significant gradient over the height of the reactors, being abundant in all samples from day 6 onwards, but a temporal succession within the reactor biofilms. The highest diversity of Rozellomycota was found between operation days 13 and 27. Within the experiment, we found single correlations between Rozellomycota, Bacteria, and Ciliophora, pointing to biotic linkages. Furthermore, we found a negative correlation with nitrogen. The high abundance of Rozellomycota in all samples indicates their distinct role in wastewater biofilms. Those insights into the complex communities can ultimately help optimize wastewater treatment processes.

Indexed as

BioreactorsFungiWastewaterWater PurificationBiofilmsCiliophoraWastewaterAquatic fungiCryptomycotaDHS reactor

Identifiers

PMID41093963
PMCPMC12528753

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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.