Low-Level Cefepime Exposure Induces High-Level Resistance in Environmental Bacteria: Molecular Mechanism and Evolutionary Dynamics

头孢吡肟 抗生素 抗生素耐药性 微生物学 细菌 生物 流出 突变体 抗药性 生物膜 遗传学 基因 亚胺培南
作者
Hanqing Wang,Youjun Feng,Huijie Lü
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:56 (21): 15074-15083 被引量:23
标识
DOI:10.1021/acs.est.2c00793
摘要

Antibiotics exert selective pressures on clinically relevant antibiotic resistance. It is critical to understand how antibiotic resistance evolves in environmental microbes exposed to subinhibitory concentrations of antibiotics and whether evolutionary dynamics and emergence of resistance are predictable. In this study, Comamonas testosteroni isolated from wastewater activated sludge were subcultured in a medium containing 10 ng/mL cefepime for 40 days (∼300 generations). Stepwise mutations were accumulated, leading to an ultimate 200-fold increase in the minimum inhibitory concentration (MIC) of cefepime. Early stage mutation in DNA polymerase-encoding gene dnaE2 played an important role in antibiotic resistance evolution. Diverse resistance mechanisms were employed and validated experimentally, including increased efflux, biofilm formation, reduced antibiotic uptake, and drug inactivation. The cefepime minimal selective concentrations (MSCs) and relative fitness of susceptible, intermediate, and resistant mutants were determined. Agent-based modeling of the modified Moran process enabled simulations of resistance evolution and predictions of the emergence time and frequency of resistant mutants. The unraveled cefepime resistance mechanisms could be employed by broader bacteria, and the newly developed model is applicable to the predictions of general resistance evolution. The improved knowledge facilitates the assessment, prediction, and mitigation of antibiotic resistance progression in antibiotic-polluted environments.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
跳跃的凡灵完成签到 ,获得积分20
1秒前
啦啦啦发布了新的文献求助10
2秒前
2秒前
2秒前
魏骜琦发布了新的文献求助10
2秒前
3秒前
3秒前
nanana完成签到 ,获得积分10
4秒前
4秒前
4秒前
dizzyout发布了新的文献求助10
4秒前
5秒前
5秒前
大尾巴白发布了新的文献求助10
5秒前
6秒前
mumufan发布了新的文献求助10
6秒前
7秒前
7秒前
rues011完成签到,获得积分10
7秒前
玄嗣发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
9秒前
飞天的鱼发布了新的文献求助10
9秒前
9秒前
9秒前
王某发布了新的文献求助10
9秒前
科研通AI6.4应助xxx采纳,获得10
10秒前
10秒前
10秒前
谦让馒头完成签到,获得积分20
10秒前
11秒前
11秒前
11秒前
12秒前
可爱的函函应助明理仰采纳,获得10
12秒前
12秒前
周亮发布了新的文献求助10
13秒前
传奇3应助小叙采纳,获得10
13秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Direct and Iterative Linear System Solvers 500
Plato's Parmenides. A Constructive Reading 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7302103
求助须知:如何正确求助?哪些是违规求助? 8920274
关于积分的说明 18894352
捐赠科研通 6966265
什么是DOI,文献DOI怎么找? 3211512
关于科研通互助平台的介绍 2380523
邀请新用户注册赠送积分活动 2188514