Evolution under vancomycin selection drives divergent collateral sensitivity patterns in <i>Staphylococcus aureus</i>

K Kyle J. Card (Department of Genomic Medicine, Cleveland Clinic Research) D Dena Crozier (Cleveland Clinic Lerner College of Medicine, Case Western Reserve University) A Arda Durmaz (Department of Genomic Medicine, Cleveland Clinic Research) J Jason Gray (Department of Physics, Case Western Reserve University) J Justin Creary (Department of Genomic Medicine, Cleveland Clinic Research) A Amira Stocks (Department of Genomic Medicine, Cleveland Clinic Research) J Jeff Maltas (Department of Physics, Case Western Reserve University) R Robert A. Bonomo (Medical Service, Louis Stokes Cleveland Department of Veteran Affairs Medical Center) Z Zachary D. C. Burke (Department of Genomic Medicine, Cleveland Clinic Research) J Jacob G. Scott (Department of Genomic Medicine, Cleveland Clinic Research)

Abstract

Staphylococcus aureus bacteremia is typically treated empirically with vancomycin, with therapy later tailored based on susceptibility results. However, these tests occur before vancomycin exposure and do not account for adaptation during empiric treatment that can alter S. aureus ’ susceptibility to first-line drugs. To investigate these collateral drug responses, we experimentally evolved 18 methicillin-susceptible S. aureus (MSSA) populations under increasing vancomycin concentrations until they achieved intermediate resistance. Genomic sequencing revealed two distinct adaptive pathways characterized by mutations in the WalKR regulon, affecting cell wall metabolism, or rpsU , impacting translational stress responses. These pathways correlated with divergent collateral sensitivity profiles to first-line antibiotics. By developing a Collateral Response Score (CRS), we quantified the probability and magnitude of these responses, demonstrating that evolutionary dynamics critically influence resistance outcomes. Our findings suggest a probabilistic approach to antimicrobial therapy, advocating for rapid genomic diagnostics alongside susceptibility testing to better anticipate and respond to evolutionary changes.

Article Details

Volume / Issue Vol. 122, Issue 39
Published September 30, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (10)

K

Kyle J. Card

Department of Genomic Medicine, Cleveland Clinic Research

D

Dena Crozier

Cleveland Clinic Lerner College of Medicine, Case Western Reserve University

A

Arda Durmaz

Department of Genomic Medicine, Cleveland Clinic Research

J

Jason Gray

Department of Physics, Case Western Reserve University

J

Justin Creary

Department of Genomic Medicine, Cleveland Clinic Research

A

Amira Stocks

Department of Genomic Medicine, Cleveland Clinic Research

J

Jeff Maltas

Department of Physics, Case Western Reserve University

R

Robert A. Bonomo

Medical Service, Louis Stokes Cleveland Department of Veteran Affairs Medical Center

Z

Zachary D. C. Burke

Department of Genomic Medicine, Cleveland Clinic Research

J

Jacob G. Scott

Department of Genomic Medicine, Cleveland Clinic Research