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Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA
Our knowledge as to how bacteria acquire antibiotic resistance is still fragmented, especially for the ribosome-targeting drugs. In this study, with the aim of finding novel mechanisms that render bacteria resistant to the ribosome-targeting antibiotics, we developed a general method to systematical...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882664/ https://www.ncbi.nlm.nih.gov/pubmed/29615654 http://dx.doi.org/10.1038/s41598-018-23474-4 |
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author | Miyazaki, Kentaro Kitahara, Kei |
author_facet | Miyazaki, Kentaro Kitahara, Kei |
author_sort | Miyazaki, Kentaro |
collection | PubMed |
description | Our knowledge as to how bacteria acquire antibiotic resistance is still fragmented, especially for the ribosome-targeting drugs. In this study, with the aim of finding novel mechanisms that render bacteria resistant to the ribosome-targeting antibiotics, we developed a general method to systematically screen for antibiotic resistant 16 S ribosomal RNAs (rRNAs), which are the major target for multiple antibiotics (e.g. spectinomycin, tetracycline, and aminoglycosides), and identify point mutations therein. We used Escherichia coli ∆7, a null mutant of the rrn (ribosomal RNA) operons, as a surrogate host organism to construct a metagenomic library of 16 S rRNA genes from the natural (non-clinical) environment. The library was screened for spectinomycin resistance to obtain four resistant 16 S rRNA genes from non-E. coli bacterial species. Bioinformatic analysis and site-directed mutagenesis identified three novel mutations - U1183C (the first mutation discovered in a region other than helix 34), and C1063U and U1189C in helix 34 - as well as three well-described mutations (C1066U, C1192G, and G1193A). These results strongly suggest that uncharacterized antibiotic resistance mutations still exist, even for traditional antibiotics. |
format | Online Article Text |
id | pubmed-5882664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58826642018-04-09 Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA Miyazaki, Kentaro Kitahara, Kei Sci Rep Article Our knowledge as to how bacteria acquire antibiotic resistance is still fragmented, especially for the ribosome-targeting drugs. In this study, with the aim of finding novel mechanisms that render bacteria resistant to the ribosome-targeting antibiotics, we developed a general method to systematically screen for antibiotic resistant 16 S ribosomal RNAs (rRNAs), which are the major target for multiple antibiotics (e.g. spectinomycin, tetracycline, and aminoglycosides), and identify point mutations therein. We used Escherichia coli ∆7, a null mutant of the rrn (ribosomal RNA) operons, as a surrogate host organism to construct a metagenomic library of 16 S rRNA genes from the natural (non-clinical) environment. The library was screened for spectinomycin resistance to obtain four resistant 16 S rRNA genes from non-E. coli bacterial species. Bioinformatic analysis and site-directed mutagenesis identified three novel mutations - U1183C (the first mutation discovered in a region other than helix 34), and C1063U and U1189C in helix 34 - as well as three well-described mutations (C1066U, C1192G, and G1193A). These results strongly suggest that uncharacterized antibiotic resistance mutations still exist, even for traditional antibiotics. Nature Publishing Group UK 2018-04-03 /pmc/articles/PMC5882664/ /pubmed/29615654 http://dx.doi.org/10.1038/s41598-018-23474-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Miyazaki, Kentaro Kitahara, Kei Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title | Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title_full | Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title_fullStr | Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title_full_unstemmed | Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title_short | Functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rRNA |
title_sort | functional metagenomic approach to identify overlooked antibiotic resistance mutations in bacterial rrna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882664/ https://www.ncbi.nlm.nih.gov/pubmed/29615654 http://dx.doi.org/10.1038/s41598-018-23474-4 |
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