ArticleMicrobial ecology2026
Seasonal and Source-Associated Microbiome Dynamics in Brazilian Drinking Water.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.