Evidence map›Paper›PMID 29471872›Full record

ArticleMicrobiome2018

A reservoir of 'historical' antibiotic resistance genes in remote pristine Antarctic soils.

Marc W Van Goethem, Rian Pierneef, Oliver K I Bezuidt, Yves Van De Peer, Don A Cowan, Thulani P Makhalanyane

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 1 synthesis or guideline pooled it, 375 citations in OpenAlex.

  1. Pooled it
  2. Illuminating Antarctic Microbial Dark Matter:Environment & health (Washington, D.C.) · 2026
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77 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

Marc W Van GoethemCentre for Microbial Ecology and Genomics (CMEG), Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Natural Sciences Building 2, Lynnwood Road, Pretoria, 0028, South Africa.
Rian PierneefCentre for Bioinformatics and Computational Biology, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Oliver K I BezuidtCentre for Microbial Ecology and Genomics (CMEG), Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Natural Sciences Building 2, Lynnwood Road, Pretoria, 0028, South Africa.
Yves Van De PeerCentre for Microbial Ecology and Genomics (CMEG), Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Natural Sciences Building 2, Lynnwood Road, Pretoria, 0028, South Africa.
Don A CowanCentre for Microbial Ecology and Genomics (CMEG), Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Natural Sciences Building 2, Lynnwood Road, Pretoria, 0028, South Africa.
Thulani P MakhalanyaneCentre for Microbial Ecology and Genomics (CMEG), Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Natural Sciences Building 2, Lynnwood Road, Pretoria, 0028, South Africa. Thulani.makhalanyane@up.ac.za.ORCID 0000-0002-8173-1678
University of Pretoria · ZAGhent University · BE

Funding

National Research Foundation 110717National Research Foundation of South Africa 93074National Research Foundation of South Africa 97891National Research Foundation of South Africa 99320
6 · The paper itself

Abstract

backgroundSoil bacteria naturally produce antibiotics as a competitive mechanism, with a concomitant evolution, and exchange by horizontal gene transfer, of a range of antibiotic resistance mechanisms. Surveys of bacterial resistance elements in edaphic systems have originated primarily from human-impacted environments, with relatively little information from remote and pristine environments, where the resistome may comprise the ancestral gene diversity.

methodsWe used shotgun metagenomics to assess antibiotic resistance gene (ARG) distribution in 17 pristine and remote Antarctic surface soils within the undisturbed Mackay Glacier region. We also interrogated the phylogenetic placement of ARGs compared to environmental ARG sequences and tested for the presence of horizontal gene transfer elements flanking ARGs.

resultsIn total, 177 naturally occurring ARGs were identified, most of which encoded single or multi-drug efflux pumps. Resistance mechanisms for the inactivation of aminoglycosides, chloramphenicol and β-lactam antibiotics were also common. Gram-negative bacteria harboured most ARGs (71%), with fewer genes from Gram-positive Actinobacteria and Bacilli (Firmicutes) (9%), reflecting the taxonomic composition of the soils. Strikingly, the abundance of ARGs per sample had a strong, negative correlation with species richness (r = - 0.49, P < 0.05). This result, coupled with a lack of mobile genetic elements flanking ARGs, suggests that these genes are ancient acquisitions of horizontal transfer events.

conclusionsARGs in these remote and uncontaminated soils most likely represent functional efficient historical genes that have since been vertically inherited over generations. The historical ARGs in these pristine environments carry a strong phylogenetic signal and form a monophyletic group relative to ARGs from other similar environments.

Indexed as

Antarctic RegionsAnti-Bacterial AgentsBacteriaDrug Resistance, Multiple, BacterialGenes, BacterialGene Transfer, HorizontalMembrane Transport ProteinsMetagenomicsSoil MicrobiologyAnti-Bacterial AgentsMembrane Transport ProteinsAntarcticaAntibiotic resistance genesMetagenomicsSoil resistome

Identifiers

PMID29471872
PMCPMC5824556
OpenAlexW2788264146

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.