Evidence map›Paper›PMID 39937305›Full record

ArticleMicrobial ecology2025

Distribution of Bacillota in Water and Sediments from Aquatic Environments.

Isabella C V Argentino, Mateus G Godoy, Lucy Seldin, Diogo Jurelevicius

Abstract read
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Isabella C V ArgentinoUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Rio de Janeiro, RJ, Brazil.
Mateus G GodoyUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Rio de Janeiro, RJ, Brazil.
Lucy SeldinUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Rio de Janeiro, RJ, Brazil.
Diogo JureleviciusUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Rio de Janeiro, RJ, Brazil. diogoj@micro.ufrj.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylum Bacillota comprises metabolically diverse bacteria with potential relevance in several fields. Although some genera, such as Bacillus and others, have been extensively studied, the distribution of Bacillota in the environment is still poorly understood. This study aimed to analyze the distribution of Bacillota present in water and sediment samples from different environments. For this purpose, water (W) and sediment (S) samples were collected from different marine environments (Dois Rios Beach - DR, Abraão Beach - AB, Massambaba Beach - MB, and Guanabara Bay - GB), freshwater lagoons (Jacarepiá Lagoon- JL) and hypersaline lagoons (Vermelha Lagoon - VL), all of which are located in Rio de Janeiro, Brazil. The microbial communities present in each sample were determined by sequencing 16S rRNA-encoding genes. The distribution and diversity of Bacillota were analyzed via QIIME2. The results revealed that Bacillota represented an average of 1% of the microbial community of aquatic microbiomes and were unevenly distributed in aquatic water and sediment. The highest abundances of Bacillota were detected in JL_S and VL_S, and the lowest abundances were observed in MB_W and AB_W. Only sequences related to the Bacilli and Clostridia classes were identified. The main Bacillota genera identified were Bacillus and an unidentified Clostridiales order genus. The VL_S and JL_S samples had the highest numbers of exclusive Bacillota genera. On the other hand, 15 Bacillota genera, which are generally observed in the human and animal guts, were found only in anthropogenically impacted GB_W and AB_W. The obtained results revealed how Bacillota are distributed in different aquatic environments.

Indexed as

Fresh WaterGeologic SedimentsSeawaterWater MicrobiologyBiodiversityBrazilDNA, BacterialMicrobiotaPhylogenyRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SAquatic microbiomesBacillota diversityBacillusMicrobial communities

Identifiers

PMID39937305
PMCPMC11821768

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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.