Literature DB >> 29704804

Selective concentration for ciprofloxacin resistance in Escherichia coli grown in complex aquatic bacterial biofilms.

Nadine Kraupner1, Stefan Ebmeyer1, Johan Bengtsson-Palme1, Jerker Fick2, Erik Kristiansson3, Carl-Fredrik Flach1, D G Joakim Larsson4.   

Abstract

There is concern that antibiotics in the environment can select for and enrich bacteria carrying acquired antibiotic resistance genes, thus increasing the potential of those genes to emerge in a clinical context. A critical question for understanding and managing such risks is what levels of antibiotics are needed to select for resistance in complex bacterial communities. Here, we address this question by examining the phenotypic and genotypic profiles of aquatic communities exposed to ciprofloxacin, also evaluating the within-species selection of resistant E. coli in complex communities. The taxonomic composition was significantly altered at ciprofloxacin exposure concentrations down to 1 μg/L. Shotgun metagenomic analysis indicated that mobile quinolone resistance determinants (qnrD, qnrS and qnrB) were enriched as a direct consequence of ciprofloxacin exposure from 1 μg/L or higher. Only at 5-10 μg/L resistant E.coli increased relative to their sensitive counterparts. These resistant E. coli predominantly harbored non-transferrable, chromosomal triple mutations (gyrA S83 L, D87N and parC S80I), which confer high-level resistance. In a controlled experimental setup such as this, we interpret effects on taxonomic composition and enrichment of mobile quinolone resistance genes as relevant indicators of risk. Hence, the lowest observed effect concentration for resistance selection in complex communities by ciprofloxacin was 1 μg/L and the corresponding no observed effect concentration 0.1 μg/L. These findings can be used to define and implement discharge or surface water limits to reduce risks for selection of antibiotic resistance in the environment.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance; Environmental emission limits; LOEC; NOEC

Mesh:

Substances:

Year:  2018        PMID: 29704804     DOI: 10.1016/j.envint.2018.04.029

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  10 in total

1.  Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth.

Authors:  Karin Hjort; Elin Fermér; Po-Cheng Tang; Dan I Andersson
Journal:  mBio       Date:  2022-06-13       Impact factor: 7.786

2.  Zinc can counteract selection for ciprofloxacin resistance.

Authors:  Michiel Vos; Louise Sibleyras; Lai Ka Lo; Elze Hesse; William Gaze; Uli Klümper
Journal:  FEMS Microbiol Lett       Date:  2020-02-01       Impact factor: 2.742

3.  Prevalence of Multidrug-Resistant Escherichia coli Isolated from Drinking Water Sources.

Authors:  Stephen T Odonkor; Kennedy K Addo
Journal:  Int J Microbiol       Date:  2018-08-19

4.  Fecal pollution can explain antibiotic resistance gene abundances in anthropogenically impacted environments.

Authors:  Antti Karkman; Katariina Pärnänen; D G Joakim Larsson
Journal:  Nat Commun       Date:  2019-01-08       Impact factor: 14.919

5.  Translating antibiotic prescribing into antibiotic resistance in the environment: A hazard characterisation case study.

Authors:  Andrew C Singer; Qiuying Xu; Virginie D J Keller
Journal:  PLoS One       Date:  2019-09-04       Impact factor: 3.240

6.  Evolution of antibiotic resistance at low antibiotic concentrations including selection below the minimal selective concentration.

Authors:  Isobel C Stanton; Aimee K Murray; Lihong Zhang; Jason Snape; William H Gaze
Journal:  Commun Biol       Date:  2020-09-03

7.  Existing evidence on antibiotic resistance exposure and transmission to humans from the environment: a systematic map.

Authors:  Isobel Catherine Stanton; Alison Bethel; Anne Frances Clare Leonard; William Hugo Gaze; Ruth Garside
Journal:  Environ Evid       Date:  2022-03-12

8.  Prediction of Minocycline Activity in the Gut From a Pig Preclinical Model Using a Pharmacokinetic -Pharmacodynamic Approach.

Authors:  Quentin Vallé; Béatrice B Roques; Alain Bousquet-Mélou; David Dahlhaus; Felipe Ramon-Portugal; Véronique Dupouy; Delphine Bibbal; Aude A Ferran
Journal:  Front Microbiol       Date:  2021-07-09       Impact factor: 5.640

9.  What is the research evidence for antibiotic resistance exposure and transmission to humans from the environment? A systematic map protocol.

Authors:  Isobel C Stanton; Alison Bethel; Anne F C Leonard; William H Gaze; Ruth Garside
Journal:  Environ Evid       Date:  2020-06-03

10.  The 'SELection End points in Communities of bacTeria' (SELECT) Method: A Novel Experimental Assay to Facilitate Risk Assessment of Selection for Antimicrobial Resistance in the Environment.

Authors:  Aimee K Murray; Isobel C Stanton; Jessica Wright; Lihong Zhang; Jason Snape; William H Gaze
Journal:  Environ Health Perspect       Date:  2020-10-21       Impact factor: 9.031

  10 in total

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