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Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging
Antimicrobial resistance is a major threat to human health. Basic knowledge of antimicrobial mechanism of action (MoA) is imperative for patient care and for identification of novel antimicrobials. However, the process of antimicrobial MoA identification is relatively laborious. Here, we developed a...
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/PMC9249789/ https://www.ncbi.nlm.nih.gov/pubmed/35778598 http://dx.doi.org/10.1038/s41598-022-15405-1 |
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author | Ouyang, Xudong Hoeksma, Jelmer Lubbers, Ronnie J. M. Siersma, Tjalling K. Hamoen, Leendert W. den Hertog, Jeroen |
author_facet | Ouyang, Xudong Hoeksma, Jelmer Lubbers, Ronnie J. M. Siersma, Tjalling K. Hamoen, Leendert W. den Hertog, Jeroen |
author_sort | Ouyang, Xudong |
collection | PubMed |
description | Antimicrobial resistance is a major threat to human health. Basic knowledge of antimicrobial mechanism of action (MoA) is imperative for patient care and for identification of novel antimicrobials. However, the process of antimicrobial MoA identification is relatively laborious. Here, we developed a simple, quantitative time-lapse fluorescence imaging method, Dynamic Bacterial Morphology Imaging (DBMI), to facilitate this process. It uses a membrane dye and a nucleoid dye to track the morphological changes of single Bacillus subtilis cells in response to antimicrobials for up to 60 min. DBMI of bacterial cells facilitated assignment of the MoAs of 14 distinct, known antimicrobial compounds to the five main classes. We conclude that DBMI is a simple method, which facilitates rapid classification of the MoA of antimicrobials in functionally distinct classes. |
format | Online Article Text |
id | pubmed-9249789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92497892022-07-03 Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging Ouyang, Xudong Hoeksma, Jelmer Lubbers, Ronnie J. M. Siersma, Tjalling K. Hamoen, Leendert W. den Hertog, Jeroen Sci Rep Article Antimicrobial resistance is a major threat to human health. Basic knowledge of antimicrobial mechanism of action (MoA) is imperative for patient care and for identification of novel antimicrobials. However, the process of antimicrobial MoA identification is relatively laborious. Here, we developed a simple, quantitative time-lapse fluorescence imaging method, Dynamic Bacterial Morphology Imaging (DBMI), to facilitate this process. It uses a membrane dye and a nucleoid dye to track the morphological changes of single Bacillus subtilis cells in response to antimicrobials for up to 60 min. DBMI of bacterial cells facilitated assignment of the MoAs of 14 distinct, known antimicrobial compounds to the five main classes. We conclude that DBMI is a simple method, which facilitates rapid classification of the MoA of antimicrobials in functionally distinct classes. Nature Publishing Group UK 2022-07-01 /pmc/articles/PMC9249789/ /pubmed/35778598 http://dx.doi.org/10.1038/s41598-022-15405-1 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 Ouyang, Xudong Hoeksma, Jelmer Lubbers, Ronnie J. M. Siersma, Tjalling K. Hamoen, Leendert W. den Hertog, Jeroen Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title | Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title_full | Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title_fullStr | Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title_full_unstemmed | Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title_short | Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
title_sort | classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249789/ https://www.ncbi.nlm.nih.gov/pubmed/35778598 http://dx.doi.org/10.1038/s41598-022-15405-1 |
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