Cargando…
Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis
The substantial use of triclosan (TCS) has been aimed to kill pathogenic bacteria, but TCS resistance seems to be prevalent in microbial species and limited knowledge exists about TCS resistance determinants in a majority of pathogenic bacteria. We aimed to evaluate the distribution of TCS resistanc...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805296/ https://www.ncbi.nlm.nih.gov/pubmed/29420585 http://dx.doi.org/10.1371/journal.pone.0192277 |
_version_ | 1783298947386703872 |
---|---|
author | Khan, Raees Roy, Nazish Choi, Kihyuck Lee, Seon-Woo |
author_facet | Khan, Raees Roy, Nazish Choi, Kihyuck Lee, Seon-Woo |
author_sort | Khan, Raees |
collection | PubMed |
description | The substantial use of triclosan (TCS) has been aimed to kill pathogenic bacteria, but TCS resistance seems to be prevalent in microbial species and limited knowledge exists about TCS resistance determinants in a majority of pathogenic bacteria. We aimed to evaluate the distribution of TCS resistance determinants in major pathogenic bacteria (N = 231) and to assess the enrichment of potentially pathogenic genera in TCS contaminated environments. A TCS-resistant gene (TRG) database was constructed and experimentally validated to predict TCS resistance in major pathogenic bacteria. Genome-wide in silico analysis was performed to define the distribution of TCS-resistant determinants in major pathogens. Microbiome analysis of TCS contaminated soil samples was also performed to investigate the abundance of TCS-resistant pathogens. We experimentally confirmed that TCS resistance could be accurately predicted using genome-wide in silico analysis against TRG database. Predicted TCS resistant phenotypes were observed in all of the tested bacterial strains (N = 17), and heterologous expression of selected TCS resistant genes from those strains conferred expected levels of TCS resistance in an alternative host Escherichia coli. Moreover, genome-wide analysis revealed that potential TCS resistance determinants were abundant among the majority of human-associated pathogens (79%) and soil-borne plant pathogenic bacteria (98%). These included a variety of enoyl-acyl carrier protein reductase (ENRs) homologues, AcrB efflux pumps, and ENR substitutions. FabI ENR, which is the only known effective target for TCS, was either co-localized with other TCS resistance determinants or had TCS resistance-associated substitutions. Furthermore, microbiome analysis revealed that pathogenic genera with intrinsic TCS-resistant determinants exist in TCS contaminated environments. We conclude that TCS may not be as effective against the majority of bacterial pathogens as previously presumed. Further, the excessive use of this biocide in natural environments may selectively enrich for not only TCS-resistant bacterial pathogens, but possibly for additional resistance to multiple antibiotics. |
format | Online Article Text |
id | pubmed-5805296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58052962018-02-23 Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis Khan, Raees Roy, Nazish Choi, Kihyuck Lee, Seon-Woo PLoS One Research Article The substantial use of triclosan (TCS) has been aimed to kill pathogenic bacteria, but TCS resistance seems to be prevalent in microbial species and limited knowledge exists about TCS resistance determinants in a majority of pathogenic bacteria. We aimed to evaluate the distribution of TCS resistance determinants in major pathogenic bacteria (N = 231) and to assess the enrichment of potentially pathogenic genera in TCS contaminated environments. A TCS-resistant gene (TRG) database was constructed and experimentally validated to predict TCS resistance in major pathogenic bacteria. Genome-wide in silico analysis was performed to define the distribution of TCS-resistant determinants in major pathogens. Microbiome analysis of TCS contaminated soil samples was also performed to investigate the abundance of TCS-resistant pathogens. We experimentally confirmed that TCS resistance could be accurately predicted using genome-wide in silico analysis against TRG database. Predicted TCS resistant phenotypes were observed in all of the tested bacterial strains (N = 17), and heterologous expression of selected TCS resistant genes from those strains conferred expected levels of TCS resistance in an alternative host Escherichia coli. Moreover, genome-wide analysis revealed that potential TCS resistance determinants were abundant among the majority of human-associated pathogens (79%) and soil-borne plant pathogenic bacteria (98%). These included a variety of enoyl-acyl carrier protein reductase (ENRs) homologues, AcrB efflux pumps, and ENR substitutions. FabI ENR, which is the only known effective target for TCS, was either co-localized with other TCS resistance determinants or had TCS resistance-associated substitutions. Furthermore, microbiome analysis revealed that pathogenic genera with intrinsic TCS-resistant determinants exist in TCS contaminated environments. We conclude that TCS may not be as effective against the majority of bacterial pathogens as previously presumed. Further, the excessive use of this biocide in natural environments may selectively enrich for not only TCS-resistant bacterial pathogens, but possibly for additional resistance to multiple antibiotics. Public Library of Science 2018-02-08 /pmc/articles/PMC5805296/ /pubmed/29420585 http://dx.doi.org/10.1371/journal.pone.0192277 Text en © 2018 Khan 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 Khan, Raees Roy, Nazish Choi, Kihyuck Lee, Seon-Woo Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title | Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title_full | Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title_fullStr | Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title_full_unstemmed | Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title_short | Distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
title_sort | distribution of triclosan-resistant genes in major pathogenic microorganisms revealed by metagenome and genome-wide analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805296/ https://www.ncbi.nlm.nih.gov/pubmed/29420585 http://dx.doi.org/10.1371/journal.pone.0192277 |
work_keys_str_mv | AT khanraees distributionoftriclosanresistantgenesinmajorpathogenicmicroorganismsrevealedbymetagenomeandgenomewideanalysis AT roynazish distributionoftriclosanresistantgenesinmajorpathogenicmicroorganismsrevealedbymetagenomeandgenomewideanalysis AT choikihyuck distributionoftriclosanresistantgenesinmajorpathogenicmicroorganismsrevealedbymetagenomeandgenomewideanalysis AT leeseonwoo distributionoftriclosanresistantgenesinmajorpathogenicmicroorganismsrevealedbymetagenomeandgenomewideanalysis |