Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging

Xudong Ouyang, Jelmer Hoeksma, Ronnie J.M. Lubbers, Tjalling K. Siersma, Leendert W. Hamoen, Jeroen den Hertog*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    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.

    Original languageEnglish
    Article number11162
    Pages (from-to)1-12
    JournalScientific Reports
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - 1 Jul 2022

    Keywords

    • Anti-Bacterial Agents/pharmacology
    • Anti-Infective Agents/pharmacology
    • Bacillus subtilis
    • Humans

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