Evidence map›Paper›PMID 41662288›Full record

ArticlePloS one2026

Relationship between land use type and bacterial composition in adjacent streams and riparian zones.

Javad Sadeghi, Shayenna Nolan, Patricia Voyer, Zeena Biro, Yasmin Ismail, Emma Mineau, Gina Peters, Alyssa Frazao, Emily Browne, Lauren Weller and 3 more

Abstract read
In one paragraph

Article in PloS one, 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

13 authors.

Javad SadeghiGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.ORCID https://orcid.org/0000-0002-2002-462X
Shayenna NolanDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.ORCID https://orcid.org/0000-0002-3472-4600
Patricia VoyerDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Zeena BiroDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Yasmin IsmailDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Emma MineauDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Gina PetersDepartment of Integrative Biology, University of Windsor, Windsor, ON, Canada.
Alyssa FrazaoGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.ORCID https://orcid.org/0000-0002-1471-1431
Emily BrowneGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.
Lauren WellerGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.
Catherine M FebriaGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.
Terrence H BellDepartment of Physical and Environmental Sciences, University of Toronto, Toronto, Canada.
Daniel HeathGreat Lakes Institute for Environmental Research, University of Windsor, Windsor, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic activities can negatively impact riparian and stream ecosystems, resulting in declines in biodiversity and certain ecosystem functions. Microbiomes in these environments play crucial roles in primary production, nutrient cycling, and maintaining air, soil, and water quality. While previous studies have examined the effects of land use on streams and soil microbiota, few have evaluated the effects of soil microbiota on aquatic ecosystems based on land use in the riparian systems. In this study, we characterized bacterial composition in six small to moderate-sized streams in both urban and agricultural land use areas using 16S rRNA gene amplicon sequencing and related this to measured physicochemical variables in these environments. Bacterial composition was comparable in soil samples collected at 3m and 1m from the river and in edge and sediment samples, but these differed significantly from bacterial composition in adjacent water. Bacterial alpha diversity (Shannon index) in streams was higher when adjacent to agricultural sites than urban sites, but no effect of land use type on bacterial alpha diversity was observed in soil samples. On the other hand, land use and location had significant impacts on bacterial composition in both soil and water samples. Furthermore, in our sampling sites, stream bacterial composition in agricultural sites was significantly influenced by NH3 and NO3-NO2 concentrations. These findings raise the possibility that aquatic bacterial function may be modified/influenced even when adjacent soil microbiomes appear relatively unaffected. Moreover, given the sensitivity of the water microbiota to land use variation, our results suggest that aquatic bacterial composition and diversity can serve as a powerful bioindicator for assessing riparian impacts on ecosystem health.

Indexed as

BacteriaMicrobiotaRiversWater MicrobiologyAgricultureBiodiversityEcosystemRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID41662288
PMCPMC12885259

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LicenceCC BY
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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.