Evidence map›Paper›PMID 30773139›Full record

ArticleMicrobiome2019

Oral administration of antibiotics increased the potential mobility of bacterial resistance genes in the gut of the fish Piaractus mesopotamicus.

Johan S Sáenz, Tamires Valim Marques, Rafael Simões Coelho Barone, José Eurico Possebon Cyrino, Susanne Kublik, Joseph Nesme, Michael Schloter, Susanne Rath, Gisle Vestergaard

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

43 citing papers in PubMed, 158 citations in OpenAlex.

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  6. Phage-antibiotic synergy attenuatesFrontiers in cellular and infection microbiology · 2026
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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

9 authors at 6 institutions in 3 countries.

Johan S SáenzComparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, 85764, Germany.
Tamires Valim MarquesInstitute of Chemistry, University of Campinas, Campinas, Brazil.
Rafael Simões Coelho BaroneDepartamento de Zootecnia, Escola Superior de Agricultura Luiz de Queiroz, University of São Paulo, Piracicaba, Brazil.
José Eurico Possebon CyrinoDepartamento de Zootecnia, Escola Superior de Agricultura Luiz de Queiroz, University of São Paulo, Piracicaba, Brazil.
Susanne KublikComparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, 85764, Germany.
Joseph NesmeComparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, 85764, Germany.
Michael SchloterComparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, 85764, Germany. schloter@helmholtz-muenchen.de.
Susanne RathInstitute of Chemistry, University of Campinas, Campinas, Brazil.
Gisle VestergaardComparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, 85764, Germany.
Helmholtz Zentrum München · DEUniversidade Estadual de Campinas (UNICAMP) · BRUniversity of Copenhagen · DKLeibniz-Institute for Food Systems Biology at the Technical University of Munich · DESecretaria de Agricultura e Abastecimento · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAquaculture is on the rise worldwide, and the use of antibiotics is fostering higher production intensity. However, recent findings suggest that the use of antibiotics comes at the price of increased antibiotic resistance. Yet, the effect of the oral administration of antibiotics on the mobility of microbial resistance genes in the fish gut is not well understood. In the present study, Piaractus mesopotamicus was used as a model to evaluate the effect of the antimicrobial florfenicol on the diversity of the gut microbiome as well as antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) using a metagenomic approach.

resultsThe total relative abundance of ARGs and MGEs significantly increased during the antibiotic exposure. Additionally, phage integrases, transposases, and transposons flanking ARGs accumulated in the gut microbiome of P. mesopotamicus because of the antibiotic exposure. MGEs co-occurring with ARGs showed a significant positive correlation with the total ARGs found. Furthermore, shifts in the gut microbiome towards well-known putative pathogens such as Salmonella, Plesiomonas, and Citrobacter were observed following florfenicol treatment. Mainly Plesiomonas and Citrobacter harbored genes that code for multidrug and phenicol efflux pumps. Moreover, several genes related to RNA processing and modification, cell motility, SOS response, and extracellular structure were enriched due to the antibiotic application. The observed effects were visible during the complete application phase and disappeared at the post-exposure phase.

conclusionsOur findings suggest that the oral administration of antibiotics increases the potential for MGE-mediated exchange of ARGs in the gut of fish and could contribute to the enrichment and dispersion of ARGs in aquaculture systems. Importantly, this increase in the potential for ARGs exchange could be an effect of changes in community structure and/or ARG mobilization.

Indexed as

Drug Resistance, BacterialInterspersed Repetitive SequencesAdministration, OralAnimalsAnti-Bacterial AgentsAquacultureBacteriaBacterial ProteinsBiodiversityCharaciformesGastrointestinal MicrobiomeGene Transfer, HorizontalPhylogenyThiamphenicolAnti-Bacterial AgentsBacterial ProteinsflorfenicolThiamphenicolAntibiotic resistance genesFlorfenicolGut microbiomeMetagenomeMobile genetic elementsPiaractus mesopotamicus

Identifiers

PMID30773139
PMCPMC6378726
OpenAlexW2913716111

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.