Evidence map›Paper›PMID 32019196›Full record

ArticleGenes2020

Distribution of Medically Relevant Antibiotic Resistance Genes and Mobile Genetic Elements in Soils of Temperate Forests and Grasslands Varying in Land Use.

Inka M Willms, Jingyue Yuan, Caterina Penone, Kezia Goldmann, Juliane Vogt, Tesfaye Wubet, Ingo Schöning, Marion Schrumpf, François Buscot, Heiko Nacke

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. 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
0.5field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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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

10 authors at 5 institutions in 2 countries.

Inka M WillmsDepartment of Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August University of Göttingen, D-37077 Göttingen, Germany.
Jingyue YuanDepartment of Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August University of Göttingen, D-37077 Göttingen, Germany.
Caterina PenoneInstitute of Plant Sciences, University of Bern, CH-3013 Bern, Switzerland.ORCID 0000-0002-8170-6659
Kezia GoldmannDepartment of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, D-06120 Halle-Saale, Germany.
Juliane VogtTerrestrial Ecology Research Group, Department of Ecology and Ecosystem Management, Technical University of Munich, D-85354 Freising, Germany.
Tesfaye WubetDepartment of Community Ecology, UFZ - Helmholtz Centre for Environmental Research, D-06120 Halle-Saale, Germany.
Ingo SchöningMax Planck Institute for Biogeochemistry, D-07745 Jena, Germany.
Marion SchrumpfMax Planck Institute for Biogeochemistry, D-07745 Jena, Germany.
François BuscotDepartment of Soil Ecology, UFZ - Helmholtz Centre for Environmental Research, D-06120 Halle-Saale, Germany.
Heiko NackeDepartment of Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August University of Göttingen, D-37077 Göttingen, Germany.
Helmholtz Centre for Environmental Research · DEUniversity of Göttingen · DEMax Planck Institute for Biogeochemistry · DETechnical University of Munich · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic-resistant pathogens claim the lives of thousands of people each year and are currently considered as one of the most serious threats to public health. Apart from clinical environments, soil ecosystems also represent a major source of antibiotic resistance determinants, which can potentially disseminate across distinct microbial habitats and be acquired by human pathogens via horizontal gene transfer. Therefore, it is of global importance to retrieve comprehensive information on environmental factors, contributing to an accumulation of antibiotic resistance genes and mobile genetic elements in these ecosystems. Here, medically relevant antibiotic resistance genes, class 1 integrons and IncP-1 plasmids were quantified via real time quantitative PCR in soils derived from temperate grasslands and forests, varying in land use over a large spatial scale. The generated dataset allowed an analysis, decoupled from regional influences, and enabled the identification of land use practices and soil characteristics elevating the abundance of antibiotic resistance genes and mobile genetic elements. In grassland soils, the abundance of the macrolide resistance gene

Indexed as

Drug Resistance, MicrobialIntegronsAgricultureBacteriaBacterial ProteinsEnvironmental MonitoringForestsFungal ProteinsFungiGrasslandMacrolidesPlasmidsReal-Time Polymerase Chain ReactionSequence Analysis, DNASoil MicrobiologyBacterial ProteinsFungal ProteinsMacrolidesantibiotic resistance genesclass 1 integronsfertilizationforestgrasslandhorizontal gene transferIncP-1 plasmidsland usemobile genetic elementsmowing

Identifiers

PMID32019196
PMCPMC7073645
OpenAlexW3004279407

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.