Mutators can drive the evolution of multi-resistance to antibiotics

Author:

Gifford Danna R.ORCID,Berríos-Caro ErnestoORCID,Joerres ChristineORCID,Suñé Marc,Forsyth Jessica H.,Bhattacharyya Anish,Galla Tobias,Knight Christopher G.ORCID

Abstract

Antibiotic combination therapies are an approach used to counter the evolution of resistance; their purported benefit is they can stop the successive emergence of independent resistance mutations in the same genome. Here, we show that bacterial populations with ‘mutators’, organisms with defects in DNA repair, readily evolve resistance to combination antibiotic treatment when there is a delay in reaching inhibitory concentrations of antibiotic—under conditions where purely wild-type populations cannot. In populations of Escherichia coli subjected to combination treatment, we detected a diverse array of acquired mutations, including multiple alleles in the canonical targets of resistance for the two drugs, as well as mutations in multi-drug efflux pumps and genes involved in DNA replication and repair. Unexpectedly, mutators not only allowed multi-resistance to evolve under combination treatment where it was favoured, but also under single-drug treatments. Using simulations, we show that the increase in mutation rate of the two canonical resistance targets is sufficient to permit multi-resistance evolution in both single-drug and combination treatments. Under both conditions, the mutator allele swept to fixation through hitch-hiking with single-drug resistance, enabling subsequent resistance mutations to emerge. Ultimately, our results suggest that mutators may hinder the utility of combination therapy when mutators are present. Additionally, by raising the rates of genetic mutation, selection for multi-resistance may have the unwanted side-effect of increasing the potential to evolve resistance to future antibiotic treatments.

Funder

Biotechnology and Biological Sciences Research Council

UKRI Innovation/Rutherford Fund Fellowship

Academy of Medical Sciences

Postdoctoral Seed Award from Earth and Environmental Sciences, The University of Manchester

Wellcome Trust

Swedish Research Council

The Maria de Maeztu program for Units of Excellence in R&D

Publisher

Public Library of Science (PLoS)

Subject

Cancer Research,Genetics (clinical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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