Evidence map›Paper›PMID 40497053›Full record

ArticleFrontiers in microbiology2025

Characterization of antibiotic resistance genes in soils from agroecosystems of the Brazilian Amazon.

Taynara Cristina Santos Tavares, Lívia Freitas da Silva Pinto, Oscar Victor Cardenas-Alegria, Carlos William Dias Dantas, Sandro Patroca da Silva, Ana Cecília Ribeiro Cruz, Aníbal Coutinho do Rêgo, Hervé Louis Ghislain Rogez, Rommel Thiago Juca Ramos, Cristian Faturi and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Characterization of defensome genes and mobile genetic Elements in different types of pasture soil agroecosystems from the Brazilian Amazon.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  2. Article
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

11 authors.

Taynara Cristina Santos Tavares *Center for the Valorization of Bioactive Compounds From the Amazon, Federal University of Pará, Belém, Brazil.
Lívia Freitas da Silva Pinto *Center for the Valorization of Bioactive Compounds From the Amazon, Federal University of Pará, Belém, Brazil.
Oscar Victor Cardenas-AlegriaSimulation and Computational Biology Laboratory (SIMBIC), High Performance Computing Center (CCAD), Federal University of Pará, Belém, PA, Brazil.
Carlos William Dias DantasSimulation and Computational Biology Laboratory (SIMBIC), High Performance Computing Center (CCAD), Federal University of Pará, Belém, PA, Brazil.
Sandro Patroca da SilvaDepartment of Arbovirology and Hemorrhagic Fevers, Evandro Chagas Institute-IEC, Ananindeua, Brazil.
Ana Cecília Ribeiro CruzDepartment of Arbovirology and Hemorrhagic Fevers, Evandro Chagas Institute-IEC, Ananindeua, Brazil.
Aníbal Coutinho do RêgoDepartment of Animal Science, Federal University of Ceará, Fortaleza, CE, Brazil.
Hervé Louis Ghislain RogezCenter for the Valorization of Bioactive Compounds From the Amazon, Federal University of Pará, Belém, Brazil.
Rommel Thiago Juca RamosSimulation and Computational Biology Laboratory (SIMBIC), High Performance Computing Center (CCAD), Federal University of Pará, Belém, PA, Brazil.
Cristian FaturiInstitute of Animal Health and Production, Federal Rural University of Amazonia, Belém, PA, Brazil.
Adriana Ribeiro Carneiro NunesCenter for the Valorization of Bioactive Compounds From the Amazon, Federal University of Pará, Belém, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conversion of forests to pastureland in the Amazon has increased over the years, resulting in significant impacts on ecosystem diversity, particularly on the soil microbiota. These changes affect the physical and biological properties of the soil, influencing the resistome and contributing to the selection and spread of antibiotic resistance genes (ARGs) in the soil environment. This study aimed to analyze the soil resistome under different managements in an Amazonian agrosystem. Soil samples were collected from the organic layer in forest and pasture areas within the municipality of São Miguel do Guamá, which included pastures managed with fertilization and those without the use of fertilizers. The samples underwent processing to extract genetic material and were sequenced using the Illumina platform. The sequences obtained were analyzed using bioinformatics tools to identify bacterial taxonomy and diversity. In addition, genetic annotation was performed using specialized databases to characterize functional genes, mobile elements, and resistance genes. The results showed changes in bacterial composition in pasture soils, where species such as

Indexed as

antibiotic resistance genesbacterial diversitymobile genetic elementsnative forestpasture soils

Identifiers

PMID40497053
PMCPMC12149118

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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.