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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...

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Autores principales: Ouyang, Xudong, Hoeksma, Jelmer, Lubbers, Ronnie J. M., Siersma, Tjalling K., Hamoen, Leendert W., den Hertog, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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