Evidence map›Paper›PMID 40572139›Full record

ArticleMicroorganisms2025

Prediction of Antibiotic Resistance Genes in Cyanobacterial Strains by Whole Genome Sequencing.

Duarte Balata, Tânia Rosado, Francisco Pina-Martins, Vera Manageiro, Carina Menezes, Eugénia Ferreira, Octávio S Paulo, Manuela Caniça, Elsa Dias

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2025. 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

9 authors.

Duarte BalataCentre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE-Global Change and Sustainability Institute, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.
Tânia RosadoLaboratory of Biology and Ecotoxicology, Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal.
Francisco Pina-MartinsCentre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE-Global Change and Sustainability Institute, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.ORCID 0000-0003-1836-397X
Vera ManageiroNational Reference Laboratory of Antibiotic Resistance and Healthcare Associated Infections, Department of Infectious Diseases, National Institute of Health Dr. Ricardo Jorge, 1649-016 Lisbon, Portugal.ORCID 0000-0001-7729-4199
Carina MenezesLaboratory of Biology and Ecotoxicology, Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal.ORCID 0000-0001-5908-1819
Eugénia FerreiraNational Reference Laboratory of Antibiotic Resistance and Healthcare Associated Infections, Department of Infectious Diseases, National Institute of Health Dr. Ricardo Jorge, 1649-016 Lisbon, Portugal.
Octávio S PauloCentre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE-Global Change and Sustainability Institute, Faculty of Sciences, University of Lisbon, 1749-016 Lisbon, Portugal.
Manuela CaniçaNational Reference Laboratory of Antibiotic Resistance and Healthcare Associated Infections, Department of Infectious Diseases, National Institute of Health Dr. Ricardo Jorge, 1649-016 Lisbon, Portugal.ORCID 0000-0002-2077-6231
Elsa DiasLaboratory of Biology and Ecotoxicology, Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal.ORCID 0000-0002-1797-4456

Funding

Portuguese Foundation for Science and Technology PTDC/BIA-BMA/31451/2017; UIDB/00211/2020
6 · The paper itself

Abstract

Cyanobacteria are ubiquitous in freshwater environments, but their role in aquatic resistome remains unclear. In this work, we performed whole genome sequencing on 43 cyanobacterial strains isolated from Portuguese fresh/wastewaters. From 43 available non-axenic unicyanoabacterial cultures (containing only one cyanobacterial strain and their co-occurring bacteria), it was possible to recover 41 cyanobacterial genomes from the genomic assemblies using a genome binning software, 26 of which were classified as high-quality based on completeness, contamination, N50 and contig number thresholds. By using the comprehensive antibiotic resistance database (CARD) on the assembled samples, we detected four antibiotic resistance gene (ARG) variants, conferring resistance in pathogenic bacteria to tetracyclines, fluoroquinolones (

Indexed as

antibiotic resistanceaquatic resistomebioinformatics pipelinecyanobacteriafreshwater bacteriagenome

Identifiers

PMID40572139
PMCPMC12195311

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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.