已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Profiling antibiotic resistance in Escherichia coli strains displaying differential antibiotic susceptibilities using Raman spectroscopy

抗生素 四环素 微生物学 抗生素耐药性 大肠杆菌 氨苄西林 环丙沙星 细菌 核酸 化学 生物 生物化学 遗传学 基因
作者
Taru Verma,Harshitha Annappa,Saumya Singh,Siva Umapathy,Dipankar Nandi
出处
期刊:Journal of Biophotonics [Wiley]
卷期号:14 (1) 被引量:29
标识
DOI:10.1002/jbio.202000231
摘要

Abstract The rapid identification of antibiotic resistant bacteria is important for public health. In the environment, bacteria are exposed to sub‐inhibitory antibiotic concentrations which has implications in the generation of multi‐drug resistant strains. To better understand these issues, Raman spectroscopy was employed coupled with partial least squares‐discriminant analysis to profile Escherichia coli strains treated with sub‐inhibitory concentrations of antibiotics. Clear differences were observed between cells treated with bacteriostatic (tetracycline and rifampicin) and bactericidal (ampicillin, ciprofloxacin, and ceftriaxone) antibiotics for 6 hr: First, atomic force microscopy revealed that bactericidal antibiotics cause extensive cell elongation whereas short filaments are observed with bacteriostatic antibiotics. Second, Raman spectral analysis revealed that bactericidal antibiotics lower nucleic acid to protein (I 812 /I 830 ) and nucleic acid to lipid ratios (I 1483 /I 1452 ) whereas the opposite is seen with bacteriostatic antibiotics. Third, the protein to lipid ratio (I 2936 /I 2885 and I 2936 /I 2850 ) is a Raman stress signature common to both the classes. These signatures were validated using two mutants, Δ lon and Δ acrB , that exhibit relatively high and low resistance towards antibiotics, respectively. In addition, these spectral markers correlated with the emergence of phenotypic antibiotic resistance. Overall, this study demonstrates the efficacy of Raman spectroscopy to identify resistance in bacteria to sub‐lethal concentrations of antibiotics.
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
茂飞发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
1秒前
1秒前
2秒前
2秒前
2秒前
2秒前
杭黎昕发布了新的文献求助10
2秒前
杭黎昕发布了新的文献求助10
2秒前
杭黎昕发布了新的文献求助10
2秒前
2秒前
杭黎昕发布了新的文献求助10
2秒前
3秒前
3秒前
杭黎昕发布了新的文献求助10
3秒前
杭黎昕发布了新的文献求助10
3秒前
茂飞发布了新的文献求助20
3秒前
3秒前
liam发布了新的文献求助10
3秒前
3秒前
茂飞发布了新的文献求助10
4秒前
4秒前
852应助SUN采纳,获得10
4秒前
4秒前
5秒前
茂飞发布了新的文献求助10
5秒前
5秒前
茂飞发布了新的文献求助10
5秒前
茂飞发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
6秒前
杭黎昕发布了新的文献求助10
6秒前
6秒前
杭黎昕发布了新的文献求助10
6秒前
杭黎昕发布了新的文献求助10
6秒前
高分求助中
(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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7604398
求助须知:如何正确求助?哪些是违规求助? 9180283
关于积分的说明 19661255
捐赠科研通 7179519
什么是DOI,文献DOI怎么找? 3269377
关于科研通互助平台的介绍 2433373
邀请新用户注册赠送积分活动 2263437