Antibiotic combination efficacy (ACE) networks for a Pseudomonas aeruginosa model.

ABSTRACT: The spread of antibiotic resistance is always a consequence of evolutionary processes. The consideration of evolution is thus key to the development of sustainable therapy. Two main factors were recently proposed to enhance long-term effectiveness of drug combinations: evolved collateral sensitivities between the drugs in a pair and antagonistic drug interactions. We systematically assessed these factors by performing over 1,600 evolution experiments with the opportunistic nosocomial pathogen Pseudomonas aeruginosa in single- and multidrug environments. Based on the growth dynamics during these experiments, we reconstructed antibiotic combination efficacy (ACE) networks as a new tool for characterizing the ability of the tested drug combinations to constrain bacterial survival as well as d

SUBMITTER: Barbosa C 

PROVIDER: S-EPMC5945231 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature