Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Ann N Y Acad Sci. 2017 Jan;1388(1):108-120. doi: 10.1111/nyas.13310.
Infections caused by drug-resistant bacteria are increasingly reported across the planet, and drug-resistant bacteria are recognized to be a major threat to public health and modern medicine. In this review, we discuss how whole-genome sequencing (WGS)-based approaches can contribute to the surveillance of the emergence and spread of antibiotic resistance. We outline the characteristics of sequencing technologies that are currently most used for WGS (Illumina short-read technologies and the long-read sequencing platforms developed by Pacific Biosciences and Oxford Nanopore). The challenges posed by the analysis of sequencing data sets for antimicrobial-resistance determinants and the solutions offered by modern bioinformatics tools are discussed. Finally, we illustrate the power of WGS-based surveillance of antimicrobial resistance by summarizing recent studies on the spread of the multidrug-resistant opportunistic pathogen Klebsiella pneumoniae and the transferable colistin-resistance gene mcr-1, in which high-throughput WGS analyses played essential roles. The implementation of WGS for surveillance of antibiotic-resistant bacteria is technically feasible and cost effective and provides actionable results with reference to infection control. Consequently, the time has come for laboratories to implement routine genome sequencing as part of their surveillance programs for antibiotic-resistant bacteria.
耐抗生素细菌引起的感染在全球范围内的报道日益增多,耐抗生素细菌被认为是对公众健康和现代医学的重大威胁。在这篇综述中,我们讨论了全基因组测序(WGS)方法如何有助于监测抗生素耐药性的出现和传播。我们概述了目前最常用于 WGS 的测序技术(Illumina 短读测序技术和 Pacific Biosciences 和 Oxford Nanopore 开发的长读测序平台)的特点。讨论了分析用于抗菌药物耐药性决定因素的测序数据集所带来的挑战,以及现代生物信息学工具提供的解决方案。最后,我们通过总结最近关于多药耐药机会性病原体肺炎克雷伯菌和可转移粘菌素耐药基因 mcr-1 传播的研究,说明了基于 WGS 的抗菌药物耐药性监测的强大功能,在这些研究中,高通量 WGS 分析发挥了重要作用。WGS 用于监测抗生素耐药细菌在技术上是可行且具有成本效益的,并提供了有关感染控制的可行结果。因此,现在是实验室将常规基因组测序作为其抗生素耐药细菌监测计划的一部分实施的时候了。