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Open AccessJournal ArticleDOI

Herbicide Selection Promotes Antibiotic Resistance in Soil Microbiomes.

TLDR
In this article, the authors show that application of three widely used herbicides-glyphosate, glufosinate, and dicamba-increases the prevalence of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) in soil microbiomes without clear changes in the abundance, diversity and composition of bacterial communities.
Abstract
Herbicides are one of the most widely used chemicals in agriculture. While they are known to be harmful to nontarget organisms, the effects of herbicides on the composition and functioning of soil microbial communities remain unclear. Here we show that application of three widely used herbicides-glyphosate, glufosinate, and dicamba-increase the prevalence of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) in soil microbiomes without clear changes in the abundance, diversity and composition of bacterial communities. Mechanistically, these results could be explained by a positive selection for more tolerant genotypes that acquired several mutations in previously well-characterized herbicide and ARGs. Moreover, herbicide exposure increased cell membrane permeability and conjugation frequency of multidrug resistance plasmids, promoting ARG movement between bacteria. A similar pattern was found in agricultural soils across 11 provinces in China, where herbicide application, and the levels of glyphosate residues in soils, were associated with increased ARG and MGE abundances relative to herbicide-free control sites. Together, our results show that herbicide application can enrich ARGs and MGEs by changing the genetic composition of soil microbiomes, potentially contributing to the global antimicrobial resistance problem in agricultural environments.

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Journal ArticleDOI

The role of emerging organic contaminants in the development of antimicrobial resistance

TL;DR: Antimicrobial resistance is a multi-faceted problem that requires input from all sectors, with robust strategies and policies needed to make headway with solving the issues of this important threat.
Journal ArticleDOI

Herbicide promotes the conjugative transfer of multi-resistance genes by facilitating cellular contact and plasmid transfer

TL;DR: A mechanistic understanding of the risk of bacterial resistance spread promoted by herbicides is provided, which elucidates a new perspective on nonantibiotic agrochemical acceleration of the HGT of ARGs.
Journal ArticleDOI

Plasmid-Mediated Transfer of Antibiotic Resistance Genes in Soil

TL;DR: The current scenario of plasmid-mediated migration and transmission of ARGs in natural environments and under different antibiotic selection pressures is reviewed, the current methods of plasmsid extraction and analysis are summarized, and the mechanism ofplasmid splice transfer using the F factor as an example is introduced.
Journal ArticleDOI

Herbicide promotes the conjugative transfer of multi-resistance genes by facilitating cellular contact and plasmid transfer.

TL;DR: In this article , the underlying mechanism associated with herbicide-promoted HGT was analyzed by detecting intracellular reactive oxygen species (ROS) production, extracellular polymeric substance composition, cell membrane integrity and proton motive force combined with genome-wide RNA sequencing.
Journal ArticleDOI

Molecular mechanisms underlying glyphosate resistance in bacteria.

TL;DR: Glyphosate is a nonselective herbicide that kills weeds and other plants competing with crops, and it is considered to be toxicologically safe for animals and humans as discussed by the authors.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
Journal ArticleDOI

Trimmomatic: a flexible trimmer for Illumina sequence data

TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
Journal ArticleDOI

The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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Trending Questions (1)
What are the different types of soil microbes that can be used as herbicides?

The provided paper does not mention any specific types of soil microbes that can be used as herbicides. The paper focuses on the effects of herbicides on soil microbial communities and the promotion of antibiotic resistance genes.