Evidence map›Paper›PMID 32391909›Full record

ArticleGigaScience2020

Global ocean resistome revealed: Exploring antibiotic resistance gene abundance and distribution in TARA Oceans samples.

Rafael R C Cuadrat, Maria Sorokina, Bruno G Andrade, Tobias Goris, Alberto M R Dávila

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Removal of coliform pollution using a gravel-packed contact bed: reduction effect and microbial community analysis.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
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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

5 authors at 3 institutions in 3 countries.

Rafael R C CuadratDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke - DIfE, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany.
Maria SorokinaInstitute for Inorganic and Analytical Chemistry, Friedrich-Schiller University, Lessingstrasse 8, 07743 Jena, Germany.
Bruno G AndradeAnimal Biotechnology Laboratory, Embrapa Southeast Livestock, EMBRAPA, Rodovia Washington Luiz, Km 234 s/n°, 13560-970 São Carlos, SP, Brazil.
Tobias GorisDepartment of Molecular Toxicology, Research Group Intestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbruecke - DIfE, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany.
Alberto M R DávilaComputational and Systems Biology Laboratory, Oswaldo Cruz Institute, FIOCRUZ, Av Brasil 4365, 21040-900 Rio de Janeiro, RJ, Brazil.
German Institute of Human Nutrition · DEFundação Oswaldo Cruz · BRSchiller International University · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rise of antibiotic resistance (AR) in clinical settings is of great concern. Therefore, the understanding of AR mechanisms, evolution, and global distribution is a priority for patient survival. Despite all efforts in the elucidation of AR mechanisms in clinical strains, little is known about its prevalence and evolution in environmental microorganisms. We used 293 metagenomic samples from the TARA Oceans project to detect and quantify environmental antibiotic resistance genes (ARGs) using machine learning tools.

resultsAfter manual curation of ARGs, their abundance and distribution in the global ocean are presented. Additionally, the potential of horizontal ARG transfer by plasmids and their correlation with environmental and geographical parameters is shown. A total of 99,205 environmental open reading frames (ORFs) were classified as 1 of 560 different ARGs conferring resistance to 26 antibiotic classes. We found 24,567 ORFs in putative plasmid sequences, suggesting the importance of mobile genetic elements in the dynamics of environmental ARG transmission. Moreover, 4,804 contigs with >=2 putative ARGs were found, including 2 plasmid-like contigs with 5 different ARGs, highlighting the potential presence of multi-resistant microorganisms in the natural ocean environment. Finally, we identified ARGs conferring resistance to some of the most relevant clinical antibiotics, revealing the presence of 15 ARGs similar to mobilized colistin resistance genes (mcr) with high abundance on polar biomes. Of these, 5 are assigned to Psychrobacter, a genus including opportunistic human pathogens.

conclusionsThis study uncovers the diversity and abundance of ARGs in the global ocean metagenome. Our results are available on Zenodo in MySQL database dump format, and all the code used for the analyses, including a Jupyter notebook js avaliable on Github. We also developed a dashboard web application (http://www.resistomedb.com) for data visualization.

Indexed as

Drug Resistance, MicrobialWater MicrobiologyAlgorithmsAnti-Bacterial AgentsAnti-Infective AgentsComputational BiologyDNA Barcoding, TaxonomicGenes, BacterialHumansMetagenomeMetagenomicsOceans and SeasPlasmidsAnti-Bacterial AgentsAnti-Infective Agentscolistinmachine learningmarine metagenomicsmultidrug resistancetetracyclineβ-lactamase

Identifiers

PMID32391909
PMCPMC7213576
OpenAlexW3023081306

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.