High-throughput time-resolved morphology screening in bacteria reveals phenotypic responses to antibiotics.

ABSTRACT: Image-based high-throughput screening strategies for quantifying morphological phenotypes have proven widely successful. Here we describe a combined experimental and multivariate image analysis approach for systematic large-scale phenotyping of morphological dynamics in bacteria. Using off-the-shelf components and software, we established a workflow for high-throughput time-resolved microscopy. We then screened the single-gene deletion collection of Escherichia coli for antibiotic-induced morphological changes. Using single-cell quantitative descriptors and supervised classification methods, we measured how different cell morphologies developed over time for all strains in response to the β-lactam antibiotic cefsulodin. 191 strains exhibit significant variations under antibiotic tre

SUBMITTER: Zahir T 

PROVIDER: S-EPMC6650389 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature