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Discovery of antimicrobials by massively parallelized growth assays (Me(x))
The number of newly approved antimicrobial compounds has been steadily decreasing over the past 50 years emphasizing the need for novel antimicrobial substances. Here we present Me(x), a method for the high-throughput discovery of novel antimicrobials, that relies on E. coli self-screening to determ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904554/ https://www.ncbi.nlm.nih.gov/pubmed/35260685 http://dx.doi.org/10.1038/s41598-022-07755-7 |
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author | Koch, Philipp Schmitt, Steven Cardner, Mathias Beerenwinkel, Niko Panke, Sven Held, Martin |
author_facet | Koch, Philipp Schmitt, Steven Cardner, Mathias Beerenwinkel, Niko Panke, Sven Held, Martin |
author_sort | Koch, Philipp |
collection | PubMed |
description | The number of newly approved antimicrobial compounds has been steadily decreasing over the past 50 years emphasizing the need for novel antimicrobial substances. Here we present Me(x), a method for the high-throughput discovery of novel antimicrobials, that relies on E. coli self-screening to determine the bioactivity of more than ten thousand naturally occurring peptides. Analysis of thousands of E. coli growth curves using next-generation sequencing enables the identification of more than 1000 previously unknown antimicrobial peptides. Additionally, by incorporating the kinetics of growth inhibition, a first indication of the mode of action is obtained, which has implications for the ultimate usefulness of the peptides in question. The most promising peptides of the screen are chemically synthesized and their activity is determined in standardized susceptibility assays. Ten out of 15 investigated peptides efficiently eradicate bacteria at a minimal inhibitory concentration in the lower µm or upper nm range. This work represents a step-change in the high-throughput discovery of functionally diverse antimicrobials. |
format | Online Article Text |
id | pubmed-8904554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89045542022-03-09 Discovery of antimicrobials by massively parallelized growth assays (Me(x)) Koch, Philipp Schmitt, Steven Cardner, Mathias Beerenwinkel, Niko Panke, Sven Held, Martin Sci Rep Article The number of newly approved antimicrobial compounds has been steadily decreasing over the past 50 years emphasizing the need for novel antimicrobial substances. Here we present Me(x), a method for the high-throughput discovery of novel antimicrobials, that relies on E. coli self-screening to determine the bioactivity of more than ten thousand naturally occurring peptides. Analysis of thousands of E. coli growth curves using next-generation sequencing enables the identification of more than 1000 previously unknown antimicrobial peptides. Additionally, by incorporating the kinetics of growth inhibition, a first indication of the mode of action is obtained, which has implications for the ultimate usefulness of the peptides in question. The most promising peptides of the screen are chemically synthesized and their activity is determined in standardized susceptibility assays. Ten out of 15 investigated peptides efficiently eradicate bacteria at a minimal inhibitory concentration in the lower µm or upper nm range. This work represents a step-change in the high-throughput discovery of functionally diverse antimicrobials. Nature Publishing Group UK 2022-03-08 /pmc/articles/PMC8904554/ /pubmed/35260685 http://dx.doi.org/10.1038/s41598-022-07755-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Koch, Philipp Schmitt, Steven Cardner, Mathias Beerenwinkel, Niko Panke, Sven Held, Martin Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title | Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title_full | Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title_fullStr | Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title_full_unstemmed | Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title_short | Discovery of antimicrobials by massively parallelized growth assays (Me(x)) |
title_sort | discovery of antimicrobials by massively parallelized growth assays (me(x)) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904554/ https://www.ncbi.nlm.nih.gov/pubmed/35260685 http://dx.doi.org/10.1038/s41598-022-07755-7 |
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