Evidence map›Paper›PMID 41865111›Full record

ArticleMicrobial ecology2026

Seasonal and Source-Associated Microbiome Dynamics in Brazilian Drinking Water.

Anna Gabriella Guimarães Oliveira, Marcela França Dias, Ihtisham Ul Haq, João Fernando Gonçalves Ferreira, Carolina Peconick Silva, Mariana Moreira, Maria Célia da Silva Lanna, Luciano Dos Santos Rodrigues, Luiz de Mâcedo Farias, Paula Prazeres Magalhães

Abstract read
In one paragraph

Article in Microbial ecology, 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

10 authors.

Anna Gabriella Guimarães OliveiraLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Marcela França DiasLaboratório de Genética de Microrganismos, Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Ihtisham Ul HaqDepartment of Physical Chemistry and Technology of Polymers, Silesian University of Technology, M. Strzody 9, Gliwice, 44-100, Poland.
João Fernando Gonçalves FerreiraLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Carolina Peconick SilvaLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Mariana MoreiraLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Maria Célia da Silva LannaDepartamento de Ciências Biológicas, Instituto de Ciências Exatas e Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil.
Luciano Dos Santos RodriguesLaboratório de Saneamento, Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Luiz de Mâcedo FariasLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Paula Prazeres MagalhãesLaboratório de Microbiologia Oral e Anaeróbios, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. paulaprazeresmagalhaes@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial diversity in drinking water is remarkably high and can reveal source-specific microbial signatures that serve as potential indicators of contamination. In this study, we analyzed the bacterial diversity in drinking water from surface and groundwater sources in Ouro Preto, Brazil, across two seasons (rainy and dry), using 16 S rRNA gene-based next-generation sequencing. The bacterial diversity and taxonomic composition were similar in surface water sources across seasons. In contrast, the diversity and bacterial community structure of groundwater sources showed significant seasonal variation, with Firmicutes (Bacilli class) predominating in the dry season, while Proteobacteria, particularly Betaproteobacteria, dominated in most sources. Associations between bacterial classes and water quality parameters highlighted Bacteroidia, Clostridia, Gammaproteobacteria, and Flavobacteriia as strongly linked to organic pollution indicators. Bacilli were negatively correlated with pH and dissolved oxygen (DO), whereas Nitrospira and Acidobacteria were negatively associated with pH and DO, but positively with arsenic and nitrate concentrations. Conversely, Alpha- and Betaproteobacteria, as well as Cytophagia, were associated with surface water sources presenting favorable physicochemical parameters, such as oxidation-reduction potential (ORP), pH, and DO. Several operational taxonomic units (OTUs), including Bacillus, Enterococcus, Ralstonia, and Acinetobacter, correlated with heavy metal presence. Importantly, 16 S rRNA gene sequencing infers bacterial presence, but not activity or pathogenic potential; however, it provides valuable insights into the dynamics of microbial populations in relation to different physicochemical parameters.

Indexed as

BacteriaDrinking WaterMicrobiotaBiodiversityBrazilGroundwaterPhylogenyRNA, Ribosomal, 16SSeasonsWater QualityDrinking WaterRNA, Ribosomal, 16SBacterial compositionBrazilDrinking waterNext-generation sequencing

Identifiers

PMID41865111
PMCPMC13212723

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.