Evolution of antibiotic cross‐resistance and collateral sensitivity in Staphylococcus epidermidis using the mutant prevention concentration and the mutant selection window. (25th February 2020)

• Record Type: Journal Article
• Authors: Lozano‐Huntelman, Natalie Ann; Singh, Nina; Valencia, Alondra; Mira, Portia; Sakayan, Maral; Boucher, Ian; Tang, Sharon; Brennan, Kelley; Gianvecchio, Crystal; Fitz‐Gibbon, Sorel; Yeh, Pamela
• Is Part Of: Evolutionary applications. Volume 13:Number 4(2020)
• Page Start: 808
• Page End: 823
• Publication Date: 2020-02-25
• Subjects: antibiotic resistance -- antimicrobial -- bacterial evolution -- correlated traits -- susceptible; Evolution (Biology) -- Periodicals; Genetics -- Periodicals; Natural selection -- Periodicals; Ecology -- Periodicals; 576.8
• DOI: 10.1111/eva.12903
• Languages: English
• ISSNs: 1752-4571

Abstract

Abstract: In bacteria, evolution of resistance to one antibiotic is frequently associated with increased resistance (cross‐resistance) or increased susceptibility (collateral sensitivity) to other antibiotics. Cross‐resistance and collateral sensitivity are typically evaluated at the minimum inhibitory concentration (MIC). However, these susceptibility changes are not well characterized with respect to the mutant prevention concentration (MPC), the antibiotic concentration that prevents a single‐step mutation from occurring. We measured the MIC and the MPC for Staphylococcus epidermidis and 14 single‐drug resistant strains against seven antibiotics. We found that the MIC and the MPC were positively correlated but that this correlation weakened if cross‐resistance did not evolve. If any type of resistance did evolve, the range of concentrations between the MIC and the MPC tended to shift right and widen. Similar patterns of cross‐resistance and collateral sensitivity were observed at the MIC and MPC levels, though more symmetry was observed at the MIC level. Whole‐genome sequencing revealed mutations in both known‐target and nontarget genes. Moving forward, examining both the MIC and the MPC may lead to better predictions of evolutionary trajectories in antibiotic‐resistant bacteria.