Evidence map›Paper›PMID 42591617›Full record

ArticleFrontiers in microbiology2026

Strong catchment-specific structuring of Swedish wastewater microbiomes in a paired two-timepoint metagenomic survey.

Dhananjay Mukhedkar, Milan S Stosic, Anna J Székely, Ekaterina Avershina, Laila Sara Arroyo Mühr

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. 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

5 authors.

Dhananjay MukhedkarCenter for Cervical Cancer Elimination, F56, Karolinska University Hospital Huddinge, Karolinska Institutet, Huddinge, Sweden.
Milan S StosicNorwegian HPV Reference Laboratory, Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
Anna J SzékelyDepartment of Aquatic Sciences and Assessment, Science for Life Laboratory, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Ekaterina AvershinaDepartment of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.
Laila Sara Arroyo MührCenter for Cervical Cancer Elimination, F56, Karolinska University Hospital Huddinge, Karolinska Institutet, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Wastewater microbial communities integrate signals from human populations, environmental inputs, and sewer infrastructure, but the extent to which these communities vary between wastewater catchments compared with individual sampling occasions remains incompletely understood. Methods: We analyzed influent wastewater from 16 wastewater treatment plant sites across Sweden, collected at two paired within-year timepoints, Week 3 and Week 21, using shotgun metagenomic sequencing and compositional data analysis. Results: Classified genus-level profiles were dominated by bacteria (96.54%), with smaller contributions from viruses (2.03%), eukaryota (1.05%) and archaea (0.40%). Genus-level alpha diversity increased between the two sampled timepoints, with median within-site changes of +10 genera in richness and +0.21 in Shannon diversity ( Discussion: These findings indicate that Swedish influent wastewater microbiomes are strongly catchment-specific across paired sampling timepoints and support the use of site-specific reference profiles when interpreting wastewater metagenomic data. Denser temporal sampling and additional catchment metadata will be needed to assess seasonality, long-term stability, and the local drivers of wastewater microbiome variation.

Indexed as

catchment-specific microbiomeinfluent wastewatershotgun metagenomicswastewater-based surveillancewastewater metagenomicswastewater microbiome

Identifiers

PMID42591617
PMCPMC13462427

What OpenQuestion holds

Textmetadata
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.