Quantitative Biology Center, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan; Universal Biology Institute, The University of Tokyo, 7-3-1 Hongo, Tokyo 113-0033, Japan.
Quantitative Biology Center, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan.
Curr Opin Biotechnol. 2018 Dec;54:45-49. doi: 10.1016/j.copbio.2018.01.026. Epub 2018 Feb 14.
The emergence of antibiotic-resistant bacteria is a serious public concern. To deal with this problem, recent advances in technology and the use of laboratory evolution experiments have provided valuable information on the phenotypic and genotypic changes that occur during the evolution of resistance. These studies have demonstrated the existence of evolutionary constraints on the development of drug-resistance, which suggests predictability in its evolution. In this review, we focus on the possibility to predict and control the evolution of antibiotic resistance, based on quantitative analysis of phenotypic and genotypic changes observed in bacterial laboratory evolution. We emphasize the key challenges in evolutionary biology that will contribute to the development of appropriate treatment strategies for preventing resistance evolution.
抗生素耐药菌的出现是一个严重的公共卫生关注点。为了应对这个问题，技术的最新进展和实验室进化实验的应用为研究耐药性进化过程中发生的表型和基因型变化提供了有价值的信息。这些研究表明，耐药性发展存在进化限制，这表明其进化具有可预测性。在这篇综述中，我们基于对细菌实验室进化中观察到的表型和基因型变化的定量分析，重点讨论了预测和控制抗生素耐药性进化的可能性。我们强调了进化生物学中的关键挑战，这些挑战将有助于制定适当的治疗策略来预防耐药性进化。
