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Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany
Antibiotic-resistant bacteria represent an emerging global health problem and are frequently detected in riverine environments. Analyzing the occurrence of corresponding antibiotic-resistant genes in rivers is of public interest as it contributes towards understanding the origin and dissemination of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192499/ https://www.ncbi.nlm.nih.gov/pubmed/32353007 http://dx.doi.org/10.1371/journal.pone.0232289 |
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author | Herrig, Ilona Fleischmann, Susanne Regnery, Julia Wesp, Jessica Reifferscheid, Georg Manz, Werner |
author_facet | Herrig, Ilona Fleischmann, Susanne Regnery, Julia Wesp, Jessica Reifferscheid, Georg Manz, Werner |
author_sort | Herrig, Ilona |
collection | PubMed |
description | Antibiotic-resistant bacteria represent an emerging global health problem and are frequently detected in riverine environments. Analyzing the occurrence of corresponding antibiotic-resistant genes in rivers is of public interest as it contributes towards understanding the origin and dissemination of these emerging microbial contaminants via surface water. This is critical for devising strategies to mitigate the spread of resistances in the environment. Concentrations of bla(CTX-M) antibiotic resistance genes were quantified weekly over a 12-month period in Lahn River surface water at two sampling sites using quantitative real-time PCR. Gene abundances were statistically assessed with regard to previously determined concentrations of fecal indicator organisms Escherichia coli, intestinal enterococci and somatic coliphages, as well as influential environmental factors. Similar seasonal patterns and strong positive correlations between fecal indicators and bla(CTX-M) genes indicated identical sources. Accordingly, linear regression analyses showed that bla(CTX-M) concentrations could largely be explained by fecal pollution. E. coli provided the best estimates (75% explained variance) at the upstream site, where proportions of bla(CTX-M) genes in relation to fecal indicator organisms were highest. At this site, rainfall proved to be more influential, hinting at surface runoff as an emission source. The level of agricultural impact increased from downstream to upstream, linking increasing bla(CTX-M) concentrations after rainfall events to the degree of agricultural land use. Exposure assessment revealed that even participants in non-swimming recreational activities were at risk of incidentally ingesting bla(CTX-M) genes and thus potentially antibiotic resistant bacteria. Considering that bla(CTX-M) genes are ubiquitous in Lahn River and participants in bathing and non-bathing water sports are at risk of exposure, results highlight the importance of microbial water quality monitoring with an emphasis on antibiotic resistance not only in designated bathing waters. Moreover, E. coli might serve as a suitable estimate for the presence of respective antibiotic resistant strains. |
format | Online Article Text |
id | pubmed-7192499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71924992020-05-11 Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany Herrig, Ilona Fleischmann, Susanne Regnery, Julia Wesp, Jessica Reifferscheid, Georg Manz, Werner PLoS One Research Article Antibiotic-resistant bacteria represent an emerging global health problem and are frequently detected in riverine environments. Analyzing the occurrence of corresponding antibiotic-resistant genes in rivers is of public interest as it contributes towards understanding the origin and dissemination of these emerging microbial contaminants via surface water. This is critical for devising strategies to mitigate the spread of resistances in the environment. Concentrations of bla(CTX-M) antibiotic resistance genes were quantified weekly over a 12-month period in Lahn River surface water at two sampling sites using quantitative real-time PCR. Gene abundances were statistically assessed with regard to previously determined concentrations of fecal indicator organisms Escherichia coli, intestinal enterococci and somatic coliphages, as well as influential environmental factors. Similar seasonal patterns and strong positive correlations between fecal indicators and bla(CTX-M) genes indicated identical sources. Accordingly, linear regression analyses showed that bla(CTX-M) concentrations could largely be explained by fecal pollution. E. coli provided the best estimates (75% explained variance) at the upstream site, where proportions of bla(CTX-M) genes in relation to fecal indicator organisms were highest. At this site, rainfall proved to be more influential, hinting at surface runoff as an emission source. The level of agricultural impact increased from downstream to upstream, linking increasing bla(CTX-M) concentrations after rainfall events to the degree of agricultural land use. Exposure assessment revealed that even participants in non-swimming recreational activities were at risk of incidentally ingesting bla(CTX-M) genes and thus potentially antibiotic resistant bacteria. Considering that bla(CTX-M) genes are ubiquitous in Lahn River and participants in bathing and non-bathing water sports are at risk of exposure, results highlight the importance of microbial water quality monitoring with an emphasis on antibiotic resistance not only in designated bathing waters. Moreover, E. coli might serve as a suitable estimate for the presence of respective antibiotic resistant strains. Public Library of Science 2020-04-30 /pmc/articles/PMC7192499/ /pubmed/32353007 http://dx.doi.org/10.1371/journal.pone.0232289 Text en © 2020 Herrig et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Herrig, Ilona Fleischmann, Susanne Regnery, Julia Wesp, Jessica Reifferscheid, Georg Manz, Werner Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title | Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title_full | Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title_fullStr | Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title_full_unstemmed | Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title_short | Prevalence and seasonal dynamics of bla(CTX-M) antibiotic resistance genes and fecal indicator organisms in the lower Lahn River, Germany |
title_sort | prevalence and seasonal dynamics of bla(ctx-m) antibiotic resistance genes and fecal indicator organisms in the lower lahn river, germany |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192499/ https://www.ncbi.nlm.nih.gov/pubmed/32353007 http://dx.doi.org/10.1371/journal.pone.0232289 |
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