The evolution of resistance to synergistic multi-drug combinations is more complex than evolving resistance to each individual drug component

被引:2
作者
Lozano-Huntelman, Natalie Ann [1 ]
Bullivant, Austin [1 ]
Chacon-Barahona, Jonathan [1 ]
Valencia, Alondra [1 ]
Ida, Nick [1 ]
Zhou, April [1 ]
Kalhori, Pooneh [1 ]
Bello, Gladys [1 ]
Xue, Carolyn [1 ]
Boyd, Sada [1 ]
Kremer, Colin [1 ]
Yeh, Pamela J. [1 ,2 ]
机构
[1] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA
[2] Santa Fe Inst, Santa Fe, NM USA
来源
EVOLUTIONARY APPLICATIONS | 2023年 / 16卷 / 12期
关键词
antibiotic combinations; antibiotic resistance; antimicrobial; bacterial evolution; ANTIBIOTIC-RESISTANCE; BACTERIAL-RESISTANCE; D-ALANYLATION; MECHANISMS; CHLORAMPHENICOL; FLORFENICOL; TETRACYCLINE; SENSITIVITY; PREDICTION; INFECTION;
D O I
10.1111/eva.13608
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multidrug antibiotic resistance is an urgent public health concern. Multiple strategies have been suggested to alleviate this problem, including the use of antibiotic combinations and cyclic therapies. We examine how adaptation to (1) combinations of drugs affects resistance to individual drugs, and to (2) individual drugs alters responses to drug combinations. To evaluate this, we evolved multiple strains of drug resistant Staphylococcus epidermidis in the lab. We show that evolving resistance to four highly synergistic combinations does not result in cross-resistance to all of their components. Likewise, prior resistance to one antibiotic in a combination does not guarantee survival when exposed to the combination. We also identify four 3-step and four 2-step treatments that inhibit bacterial growth and confer collateral sensitivity with each step, impeding the development of multidrug resistance. This study highlights the importance of considering higher-order drug combinations in sequential therapies and how antibiotic interactions can influence the evolutionary trajectory of bacterial populations.
引用
收藏
页码:1901 / 1920
页数:20
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