Conserved collateral antibiotic susceptibility networks in diverse clinical strains of Escherichia coli

Nicole L. Podnecky (), Elizabeth G. A. Fredheim, Julia Kloos, Vidar Sørum, Raul Primicerio, Adam P. Roberts, Daniel E. Rozen, Ørjan Samuelsen and Pål J. Johnsen ()
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Nicole L. Podnecky: UiT The Arctic University of Norway
Elizabeth G. A. Fredheim: UiT The Arctic University of Norway
Julia Kloos: UiT The Arctic University of Norway
Vidar Sørum: UiT The Arctic University of Norway
Raul Primicerio: UiT The Arctic University of Norway
Adam P. Roberts: Liverpool School of Tropical Medicine
Daniel E. Rozen: Leiden University
Ørjan Samuelsen: UiT The Arctic University of Norway
Pål J. Johnsen: UiT The Arctic University of Norway

Nature Communications, 2018, vol. 9, issue 1, 1-11

Abstract: Abstract There is urgent need to develop novel treatment strategies to reduce antimicrobial resistance. Collateral sensitivity (CS), where resistance to one antimicrobial increases susceptibility to other drugs, might enable selection against resistance during treatment. However, the success of this approach would depend on the conservation of CS networks across genetically diverse bacterial strains. Here, we examine CS conservation across diverse Escherichia coli strains isolated from urinary tract infections. We determine collateral susceptibilities of mutants resistant to relevant antimicrobials against 16 antibiotics. Multivariate statistical analyses show that resistance mechanisms, in particular efflux-related mutations, as well as the relative fitness of resistant strains, are principal contributors to collateral responses. Moreover, collateral responses shift the mutant selection window, suggesting that CS-informed therapies may affect evolutionary trajectories of antimicrobial resistance. Our data allow optimism for CS-informed therapy and further suggest that rapid detection of resistance mechanisms is important to accurately predict collateral responses.

Date: 2018
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DOI: 10.1038/s41467-018-06143-y

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