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      Selection for Resistance to a Glyphosate-Containing Herbicide in Salmonella enterica Does Not Result in a Sustained Activation of the Tolerance Response or Increased Cross-Tolerance and Cross-Resistance to Clinically Important Antibiotics

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          Abstract

          Glyphosate-based herbicides (GBH) are among the world’s most popular, with traces commonly found in food, feed, and the environment. Such high ubiquity means that the herbicide may come into contact with various microorganisms, on which it acts as an antimicrobial, and it may select for resistance and cross-resistance to clinically important antibiotics. It is therefore important to estimate whether the widespread use of pesticides may be an underappreciated source of antibiotic-resistant microorganisms that may compromise efficiency of antibiotic treatments in humans and animals.

          ABSTRACT

          Evolution of bacterial tolerance to antimicrobials precedes evolution of resistance and may result in cross-tolerance, cross-resistance, or collateral sensitivity to other antibiotics. Transient exposure of gut bacteria to glyphosate, the world’s most widely used herbicide, has been linked to the activation of the stress response and changes in susceptibility to antibiotics. In this study, we investigated whether chronic exposure to a glyphosate-based herbicide (GBH) results in resistance, a constitutive activation of the tolerance and stress responses, and cross-tolerance or cross-resistance to antibiotics. Of the 10 farm animal-derived clinical isolates of Salmonella enterica subjected to experimental evolution in increasing concentrations of GBH, three isolates showed stable resistance with mutations associated with the glyphosate target gene aroA and no fitness costs. Global quantitative proteomics analysis demonstrated activation of the cellular tolerance and stress response during the transient exposure to GBH but not constitutively in the resistant mutants. Resistant mutants displayed no cross-resistance or cross-tolerance to antibiotics. These results suggest that while transient exposure to GBH triggers cellular tolerance response in Salmonella enterica, this response does not become genetically fixed after selection for resistance to GBH and does not result in increased cross-tolerance or cross-resistance to clinically important antibiotics under our experimental conditions.

          IMPORTANCE Glyphosate-based herbicides (GBH) are among the world’s most popular, with traces commonly found in food, feed, and the environment. Such high ubiquity means that the herbicide may come into contact with various microorganisms, on which it acts as an antimicrobial, and it may select for resistance and cross-resistance to clinically important antibiotics. It is therefore important to estimate whether the widespread use of pesticides may be an underappreciated source of antibiotic-resistant microorganisms that may compromise efficiency of antibiotic treatments in humans and animals.

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          STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

          Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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            Prokka: rapid prokaryotic genome annotation.

            T Seemann (2014)
            The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              The PRIDE database and related tools and resources in 2019: improving support for quantification data

              Abstract The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world’s largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium. In this manuscript, we summarize the developments in PRIDE resources and related tools since the previous update manuscript was published in Nucleic Acids Research in 2016. In the last 3 years, public data sharing through PRIDE (as part of PX) has definitely become the norm in the field. In parallel, data re-use of public proteomics data has increased enormously, with multiple applications. We first describe the new architecture of PRIDE Archive, the archival component of PRIDE. PRIDE Archive and the related data submission framework have been further developed to support the increase in submitted data volumes and additional data types. A new scalable and fault tolerant storage backend, Application Programming Interface and web interface have been implemented, as a part of an ongoing process. Additionally, we emphasize the improved support for quantitative proteomics data through the mzTab format. At last, we outline key statistics on the current data contents and volume of downloads, and how PRIDE data are starting to be disseminated to added-value resources including Ensembl, UniProt and Expression Atlas.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Appl Environ Microbiol
                Appl Environ Microbiol
                aem
                aem
                AEM
                Applied and Environmental Microbiology
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0099-2240
                1098-5336
                2 October 2020
                24 November 2020
                December 2020
                24 November 2020
                : 86
                : 24
                : e01204-20
                Affiliations
                [a ]Institute of Animal Hygiene and Environmental Health, Centre for Infection Medicine, Freie Universität Berlin, Berlin, Germany
                [b ]Department of Biology & Biotechnology, SRM University-AP, Andhra Pradesh, India
                [c ]Institute for Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
                [d ]Evolutionary Biology, Institute for Biology, Freie Universität Berlin, Berlin, Germany
                [e ]Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
                [f ]Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
                Rutgers, The State University of New Jersey
                Author notes
                Address correspondence to Olga Makarova, olga.makarova@ 123456fu-berlin.de .

                Citation Pöppe J, Bote K, Ramesh A, Murugaiyan J, Kuropka B, Kühl M, Johnston P, Roesler U, Makarova O. 2020. Selection for resistance to a glyphosate-containing herbicide in Salmonella enterica does not result in a sustained activation of the tolerance response or increased cross-tolerance and cross-resistance to clinically important antibiotics. Appl Environ Microbiol 86:e01204-20. https://doi.org/10.1128/AEM.01204-20.

                Author information
                https://orcid.org/0000-0002-1924-2988
                https://orcid.org/0000-0003-4767-9711
                Article
                01204-20
                10.1128/AEM.01204-20
                7688225
                33008821
                27243298-b205-45f1-a79b-9099c29d7073
                Copyright © 2020 Pöppe et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 25 May 2020
                : 15 September 2020
                Page count
                supplementary-material: 2, Figures: 3, Tables: 3, Equations: 0, References: 47, Pages: 12, Words: 7582
                Funding
                Funded by: Deutsche Forschungsgemeinschaft (DFG), https://doi.org/10.13039/501100001659;
                Award ID: BioSupraMol
                Award Recipient :
                Funded by: Bundesministerium für Ernährung und Landwirtschaft (BMEL), https://doi.org/10.13039/501100005908;
                Award ID: 314-06.01-2815HS015
                Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Categories
                Public and Environmental Health Microbiology
                Spotlight
                Custom metadata
                December 2020

                Microbiology & Virology
                glyphosate,enterobacteriaceae,resistance,tolerance,fitness costs,experimental evolution

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