Evidence map›Paper›PMID 42111290›Full record

ArticleISME communications2026

Pollutant biodegradation profile mediated by multi-trophic microbial dynamics in rivers.

Joeselle M Serrana, Run Tian, Francisco J A Nascimento, Elias Broman, Benoît Dessirier, Malte Posselt

Abstract read
In one paragraph

Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joeselle M SerranaStockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0002-6967-5407
Run TianDepartment of Environmental Science (ACES), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0002-1473-3753
Francisco J A NascimentoStockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0003-3722-1360
Elias BromanStockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0001-9005-5168
Benoît DessirierStockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0002-2261-4279
Malte PosseltStockholm University Center for Circular and Sustainable Systems (SUCCeSS), Stockholm University, Stockholm 106 91, Sweden.ORCID https://orcid.org/0000-0001-8979-8044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities and environmental conditions are closely linked to ecosystem functions and directly govern the biodegradation of pollutants in aquatic environments. However, the role of multi-trophic interactions and their spatiotemporal dynamics in these processes remains poorly understood. Here, we examined how seasonal and spatial variations, mediated by trophic interactions within benthic microbial communities, influence their composition, functional capacity, and collective potential to degrade a diverse array of organic pollutants in rivers. By characterizing both prokaryotic (i.e. archaea and bacteria) and eukaryotic taxa (i.e. algae, fungi, protists, and metazoans), and inferring metabolic pathways, we explored the connections between community composition and pollutant degradation in wastewater-receiving rivers across four seasons. Mediation analysis revealed that variation in multi-trophic community structure statistically mediates the total effect of environmental factors on the biodegradation profiles of 96 organic pollutants, with prokaryotic communities explaining 60% of the total environmental influence. Eukaryotic groups also showed significant indirect mediation effects, with fungal, protistan, algal, and metazoan communities accounting for 56%, 53%, 26%, and 38% of the mediated effect, respectively. Across the two rivers studied, spatial variation explained more of the variance in community composition than seasonality did over the sampled year. Together, these results provide ecosystem-level insights into how multi-trophic microbial community organization is associated with pollutant biodegradation potential in dynamic river environments and support the development of predictive frameworks for sustainable water management.

Indexed as

biodegradationenvironmental microbiomemediation analysismicrobial eukaryotesorganic pollutantsprokaryotesspatiotemporal dynamics

Identifiers

PMID42111290
PMCPMC13155109

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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.