Unknown

Dataset Information

0

The emergence, maintenance, and demise of diversity in a spatially variable antibiotic regime.


ABSTRACT: Antimicrobial resistance (AMR) is a growing global threat that, in the absence of new antibiotics, requires effective management of existing drugs. Here, we use experimental evolution of the opportunistic human pathogen Pseudomonas aeruginosa to explore how changing patterns of drug delivery modulates the spread of resistance in a population. Resistance evolves readily under both temporal and spatial variation in drug delivery and fixes rapidly under temporal, but not spatial, variation. Resistant and sensitive genotypes coexist in spatially varying conditions due to a resistance-growth rate trade-off which, when coupled to dispersal, generates negative frequency-dependent selection and a quasi-protected polymorphism. Coexistence is ultimately lost, however, because resistant types with improved growth rates in the absence of drug spread through the population. These results suggest that spatially variable drug prescriptions can delay but not prevent the spread of resistance and provide a striking example of how the emergence and eventual demise of biodiversity is underpinned by evolving fitness trade-offs.

SUBMITTER: Leale AM 

PROVIDER: S-EPMC6121846 | biostudies-other | 2018 Apr

REPOSITORIES: biostudies-other

altmetric image

Publications

The emergence, maintenance, and demise of diversity in a spatially variable antibiotic regime.

Leale Alanna M AM   Kassen Rees R  

Evolution letters 20180317 2


Antimicrobial resistance (AMR) is a growing global threat that, in the absence of new antibiotics, requires effective management of existing drugs. Here, we use experimental evolution of the opportunistic human pathogen <i>Pseudomonas aeruginosa</i> to explore how changing patterns of drug delivery modulates the spread of resistance in a population. Resistance evolves readily under both temporal and spatial variation in drug delivery and fixes rapidly under temporal, but not spatial, variation.  ...[more]

Similar Datasets

| S-EPMC5814844 | biostudies-other
| S-EPMC2172757 | biostudies-literature
| S-EPMC6350895 | biostudies-literature
2022-10-30 | GSE213820 | GEO
2022-10-31 | GSE213819 | GEO
2023-06-30 | GSE225639 | GEO
2022-10-31 | GSE213818 | GEO
| S-EPMC5647445 | biostudies-literature
| S-EPMC4453259 | biostudies-literature
| S-EPMC4805192 | biostudies-other