Evolutionary paths to antibiotic resistance under dynamically sustained drug selection

Citation:

Toprak, E, A Veres, JB Michel, R Chait, DL Hartl, and R Kishony. 2012. “Evolutionary paths to antibiotic resistance under dynamically sustained drug selection.” Nat Genet 44: 101-5.

Date Published:

Jan

Abstract:

Antibiotic resistance can evolve through the sequential accumulation of multiple mutations. To study such gradual evolution, we developed a selection device, the 'morbidostat', that continuously monitors bacterial growth and dynamically regulates drug concentrations, such that the evolving population is constantly challenged. We analyzed the evolution of resistance in Escherichia coli under selection with single drugs, including chloramphenicol, doxycycline and trimethoprim. Over a period of approximately 20 days, resistance levels increased dramatically, with parallel populations showing similar phenotypic trajectories. Whole-genome sequencing of the evolved strains identified mutations both specific to resistance to a particular drug and shared in resistance to multiple drugs. Chloramphenicol and doxycycline resistance evolved smoothly through diverse combinations of mutations in genes involved in translation, transcription and transport. In contrast, trimethoprim resistance evolved in a stepwise manner, through mutations restricted to the gene encoding the enzyme dihydrofolate reductase (DHFR). Sequencing of DHFR over the time course of the experiment showed that parallel populations evolved similar mutations and acquired them in a similar order.

Notes:

Toprak, ErdalVeres, AdrianMichel, Jean-BaptisteChait, RemyHartl, Daniel LKishony, RoyengAI057159/AI/NIAID NIH HHS/GM079536/GM/NIGMS NIH HHS/GM081617/GM/NIGMS NIH HHS/R01 GM081617/GM/NIGMS NIH HHS/Research Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov't2011/12/20 06:00Nat Genet. 2011 Dec 18;44(1):101-5. doi: 10.1038/ng.1034.

Last updated on 05/12/2015