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脉冲神经网络:迈入下一代测序时代。

PulseNet: Entering the Age of Next-Generation Sequencing.

机构信息

Centers for Disease Control and Prevention, Atlanta, Georgia.

出版信息

Foodborne Pathog Dis. 2019 Jul;16(7):451-456. doi: 10.1089/fpd.2019.2634. Epub 2019 Jun 26.

DOI:10.1089/fpd.2019.2634
PMID:31241352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6653803/
Abstract

Since 1996, PulseNet has served as the national laboratory-based surveillance system for the rapid detection of outbreaks caused by foodborne bacterial pathogens in the United States. For the past two decades, pulsed-field gel electrophoresis was the gold standard subtyping method for the pathogens tracked by PulseNet. A new gold standard is now being implemented with the introduction of cost-effective whole genome sequencing (WGS) for analysis of all the organisms tracked by PulseNet. This transformation is a major undertaking that touches every functional aspect of PulseNet, including laboratory workflows, data storage, analysis management and data interpretation, and language used to communicate information (sequence profile nomenclature system). The benefits of implementing WGS go beyond improved discrimination and precision of the data; it provides an opportunity to determine strain characteristics typically obtained through resource-intensive traditional methodologies, for example, species identification, serotyping, virulence, and antimicrobial resistance profiling, all of which can be consolidated into a single WGS workflow. Such a strategy represents a major shift in the workflows currently practiced in most public health laboratories, but one that brings opportunities for streamlining surveillance activities for the network as a whole. In this study, we provide a brief summary of PulseNet's evolution the past decade along with a general description of the challenges and opportunities that lie ahead.

摘要

自 1996 年以来,PulseNet 一直是美国基于实验室的食源性病原体爆发快速检测的国家监测系统。在过去的二十年中,脉冲场凝胶电泳一直是 PulseNet 追踪病原体的黄金标准分型方法。随着用于分析 PulseNet 追踪的所有生物的具有成本效益的全基因组测序(WGS)的引入,现在正在实施新的黄金标准。这种转变是一项重大任务,涉及到 PulseNet 的每个功能方面,包括实验室工作流程、数据存储、分析管理和数据解释,以及用于交流信息的语言(序列谱命名系统)。实施 WGS 的好处不仅在于提高了数据的区分度和精度;它还提供了一个机会,可以确定通过资源密集型传统方法通常获得的菌株特征,例如物种鉴定、血清型分型、毒力和抗菌药物耐药性分析,所有这些都可以整合到单个 WGS 工作流程中。这种策略代表了大多数公共卫生实验室目前实践的工作流程的重大转变,但它为整个网络的监测活动带来了简化的机会。在本研究中,我们简要总结了过去十年中 PulseNet 的发展演变,以及未来面临的挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/d0fe2fcccecc/fig-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/db61b33e3f0b/fig-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/0e1c31a94c16/fig-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/d0fe2fcccecc/fig-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/db61b33e3f0b/fig-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/0e1c31a94c16/fig-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ed/6653803/d0fe2fcccecc/fig-3.jpg

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