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一种细菌抗生素抗性促进剂及其应用。

A bacterial antibiotic resistance accelerator and applications.

作者信息

Bos Julia, Austin Robert H

机构信息

Pasteur Institute, Department of Genomes and Genetics, Paris, France.

Department of Physics, Princeton University, Princeton, NJ, United States.

出版信息

Methods Cell Biol. 2018;147:41-57. doi: 10.1016/bs.mcb.2018.06.005. Epub 2018 Jul 26.

Abstract

The systematic emergence of drug resistance remains a major problem in the treatment of infectious diseases (antibiotics) and cancer (chemotherapy), with possible common fundamental origins linking bacterial antibiotic resistance and emergence of chemotherapy resistance. The common link may be evolution in a complex fitness landscape with connected small population niches. We report a detailed method for observing bacterial adaptive behavior in heterogeneous microfluidic environment designed to mimic the environmental heterogeneity found in natural microbial niches. First, the device is structured with multiple connected micro-chambers that allow the cell population to communicate and organize into smaller populations. Second, bacteria evolve within an antibiotic gradient generated throughout the micro-chambers that creates a wide range of fitness landscapes. High-resolution images of the adaptive response to the antibiotic stress are captured by epifluorescence microscopy at various levels of the bacterial organization for quantitative analysis. Thus, the experimental setup we have developed provides a powerful frame for visualizing evolution at work: bacterial movement, survival and death. It also presents a basis for exploring the rates at which drug resistance arises in bacteria and other biological contexts such as cancer.

摘要

耐药性的系统性出现仍然是传染病(抗生素治疗)和癌症(化疗)治疗中的一个主要问题,细菌抗生素耐药性和化疗耐药性的出现可能存在共同的根本原因。共同的联系可能是在具有相连小种群生态位的复杂适应度景观中的进化。我们报告了一种详细方法,用于在异质微流控环境中观察细菌的适应性行为,该环境旨在模拟自然微生物生态位中发现的环境异质性。首先,该装置由多个相连的微腔构成,允许细胞群体进行交流并组织成较小的群体。其次,细菌在贯穿微腔产生的抗生素梯度内进化,这会创造出广泛的适应度景观。通过落射荧光显微镜在细菌组织的各个层面捕获对抗生素应激的适应性反应的高分辨率图像,用于定量分析。因此,我们开发的实验装置为可视化进化过程提供了一个强大的框架:细菌的运动、存活和死亡。它还为探索细菌以及癌症等其他生物学背景下耐药性产生的速率提供了基础。

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