Back to Search Start Over

Rapid evolution drives the rise and fall of carbapenem resistance during an acute Pseudomonas aeruginosa infection

Authors :
Jessica Hedge
Craig MacLean
Herman Goossens
Alexey Ruzin
Leen Timbermont
C. Recanatini
Basil Britto Xavier
J. Diaz Caballero
T. Van der Schalk
E. del Barrio-Tofino
Andrew J. Quinn
Gabriel Torrens
Surbhi Malhotra-Kumar
Rachel M. Wheatley
Jan Kluytmans
Natalia Kapel
Christine Lammens
Felipe Fernández-Cuenca
Omar Ali
Carla López-Causapé
A. Arenzana
Samir Kumar-Singh
Frangiscos Sifakis
Antonio Oliver
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

It is well established that antibiotic treatment selects for resistance in pathogenic bacteria. However, the evolutionary responses of pathogen populations to antibiotic treatment during infections remain poorly resolved, especially in acute infections. Here we map the evolutionary responses to treatment in high definition through genomic and phenotypic characterization of >100 isolates from a patient with P. aeruginosa pneumonia. Antibiotic therapy (meropenem, colistin) caused a rapid crash of the P. aeruginosa population in the lung, but this decline was followed by the spread of meropenem resistance mutations that restrict antibiotic uptake (oprD) or modify LPS biosynthesis (wbpM). Low fitness strains with high-level meropenem resistance (oprD) were then replaced by high fitness strains with ‘anti-resistance’ mutations in the MexAB-OprM efflux pump, causing a rapid decline in resistance to both meropenem and a collateral loss of resistance to a broad spectrum of antibiotics. In contrast, we did not observe any evolutionary responses to antibiotic treatment in the intestinal population of P. aeruginosa. Carbapenem antibiotics are key to the treatment of infections caused by Gram negative pathogens, and our work highlights the ability of natural selection to drive both the rapid rise and fall of carbapenem resistance during acute infections.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........461f1d9fcb2aaa39aee3703bb366d88c
Full Text :
https://doi.org/10.1101/2020.08.10.243741