Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria

The prevalence and strength of antibiotic resistance has led to an ongoing battle between the development of new treatments and the evolution of resistance. Combining multiple drugs simultaneously is a potential solution for combating antibiotic resistance. However, this approach introduces new factors that must be considered, including the influence of drug interactions on the rate of resistance evolution. When antibiotics are used in combination, their effects can be additive, synergistic, or antagonistic. In this study, we investigated the effect of higher-order interactions involving 3 drugs on resistance evolution in Staphylococcus epidermidis. Previous studies have shown that synergistic interactions can increase the adaptation rate. However, the effects of higher-order interactions on rates of adaptation are unclear. We investigated the adaptation of Staphylococcus epidermidis to single-, 2-, and 3-drug environments to assess how interactions within drug combinations influence the rate of adaptation. We analyzed both the overall interaction and emergent interaction, the latter being a unique interaction that occurs in 3-drug combinations due to the presence of all three drugs, rather than simply strong pairwise interactions. Our results show that neither the overall interactions nor the emergent interactions affect adaptation rates.

Authors

Institutions

Publication Details

Journal
Evolution
Published
2025-02-05
DOI
https://doi.org/10.1093/evolut/qpaf023
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria

Sada Boyd, Nick Ida, April Zhou, Austin Bullivant et al.
1 citations
Evolution
Evolution and Genetic Dynamics
1.82
article

Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria

Sada Boyd, Nick Ida, April Zhou, Austin Bullivant, Natalie Lozano-Huntelman, Emoni Cook, Pamela J. Yeh
article en
1 citations

Abstract

The prevalence and strength of antibiotic resistance has led to an ongoing battle between the development of new treatments and the evolution of resistance. Combining multiple drugs simultaneously is a potential solution for combating antibiotic resistance. However, this approach introduces new factors that must be considered, including the influence of drug interactions on the rate of resistance evolution. When antibiotics are used in combination, their effects can be additive, synergistic, or antagonistic. In this study, we investigated the effect of higher-order interactions involving 3 drugs on resistance evolution in Staphylococcus epidermidis. Previous studies have shown that synergistic interactions can increase the adaptation rate. However, the effects of higher-order interactions on rates of adaptation are unclear. We investigated the adaptation of Staphylococcus epidermidis to single-, 2-, and 3-drug environments to assess how interactions within drug combinations influence the rate of adaptation. We analyzed both the overall interaction and emergent interaction, the latter being a unique interaction that occurs in 3-drug combinations due to the presence of all three drugs, rather than simply strong pairwise interactions. Our results show that neither the overall interactions nor the emergent interactions affect adaptation rates.

EvolutionVol. 79(5)
Santa Fe Institute (US), University of California, Los Angeles (US)
Hellman Foundation, National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Science Institute, University of California, Los Angeles
Good health and well-being
Openalex Percentile: Top 18%
Evolution and Genetic Dynamics
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria — Sada Boyd, Nick Ida, et al. · Evolution (2025) | TGRS Research Map | TGRS