Evidence map›Paper›PMID 40184632›Full record

ArticleThe ISME journal2025

Longitudinal dynamics and cross-domain interactions of eukaryotic populations in wastewater treatment plants.

Yue Huang, Xuemei Mao, Xiawan Zheng, Yuxiang Zhao, Dou Wang, Mengying Wang, Yiqiang Chen, Lei Liu, Yulin Wang, Martin F Polz and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The ISME journal, 2025. 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. 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

11 authors.

Yue HuangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Xuemei MaoEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Xiawan ZhengEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Yuxiang ZhaoEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Dou WangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Mengying WangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Yiqiang ChenEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Lei LiuEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Yulin WangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.
Martin F PolzDivision of Microbial Ecology, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, 1030, Austria.
Tong ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, 999077, China.

Funding

Hong Kong GRF 17212124
6 · The paper itself

Abstract

Activated sludge is a large reservoir of novel microorganisms and microbial genetic diversity. While much attention has been given to the profile and functions of prokaryotes, the eukaryotic diversity remains largely unexplored. In this study, we analysed longitudinal activated sludge samples spanning 13 years from the largest secondary wastewater treatment plants in Hong Kong, unveiling a wealth of eukaryotic taxa and 681 856 non-redundant protein-coding genes, the majority (416 044) of which appeared novel. Ciliophora was the most dominant phylum with a significant increase after a transient intervention (bleaching event). Our metagenomic analysis reveals close linkage and covariation of eukaryotes, prokaryotes, and prokaryotic viruses (phages), indicating common responses to environmental changes such as transient intervention and intermittent fluctuations. Furthermore, high-resolution cross-domain relationships were interpreted by S-map, demonstrating a predatory role of Arthropoda, Ascomycota, Mucoromycota, and Rotifera. This high-resolution profile of microbial dynamics expands our knowledge on yet-to-be-cultured populations and their cross-domain interactions and highlights the ecological importance of eukaryotes in the activated sludge ecosystem.

Indexed as

EukaryotaSewageWastewaterAnimalsBiodiversityHong KongMetagenomicsPhylogenySewageWastewateractivated sludgecross-domain interactionseukaryotesmetatranscriptomicswastewater treatment plants

Identifiers

PMID40184632
PMCPMC12021597

What OpenQuestion holds

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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.