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Discovery of antimicrobials by massively parallelized growth assays (Mex).
Koch, Philipp; Schmitt, Steven; Cardner, Mathias; Beerenwinkel, Niko; Panke, Sven; Held, Martin.
Afiliación
  • Koch P; Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Schmitt S; Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Cardner M; Computational Biology, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Beerenwinkel N; SIB Swiss Institute of Bioinformatics, 4058, Basel, Switzerland.
  • Panke S; Computational Biology, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Held M; SIB Swiss Institute of Bioinformatics, 4058, Basel, Switzerland.
Sci Rep ; 12(1): 4097, 2022 03 08.
Article en En | MEDLINE | ID: mdl-35260685
ABSTRACT
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 Mex, 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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Escherichia coli / Antiinfecciosos Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Escherichia coli / Antiinfecciosos Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Suiza