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

doi:10.1038/s41598-022-15405-1

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

Hubrecht Institute

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

10 Citaten (Scopus)

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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.

Originele taal-2	Engels
Pagina's (van-tot)	11162
Tijdschrift	Scientific Reports
Volume	12
Nummer van het tijdschrift	1
DOI's	https://doi.org/10.1038/s41598-022-15405-1
Status	Gepubliceerd - 01 jul. 2022

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10.1038/s41598-022-15405-1

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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.",

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AU - Ouyang, Xudong

AU - Hoeksma, Jelmer

AU - Lubbers, Ronnie J M

AU - Siersma, Tjalling K

AU - Hamoen, Leendert W

AU - den Hertog, Jeroen

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AB - 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.

KW - Anti-Bacterial Agents/pharmacology

KW - Anti-Infective Agents/pharmacology

KW - Bacillus subtilis

KW - Humans

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Classification of antimicrobial mechanism of action using dynamic bacterial morphology imaging

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