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一种用于[具体内容]来源追踪的端到端全基因组测序工作流程的验证方法。 (原文中“and.”部分内容缺失,这是按照现有内容尽量准确翻译的结果)

A Validation Approach of an End-to-End Whole Genome Sequencing Workflow for Source Tracking of and .

作者信息

Portmann Anne-Catherine, Fournier Coralie, Gimonet Johan, Ngom-Bru Catherine, Barretto Caroline, Baert Leen

机构信息

Nestec Ltd., Nestle Research Center, Lausanne, Switzerland.

Nestle Institute of Health Sciences SA, EPFL Innovation Park, Lausanne, Switzerland.

出版信息

Front Microbiol. 2018 Mar 14;9:446. doi: 10.3389/fmicb.2018.00446. eCollection 2018.

Abstract

Whole genome sequencing (WGS), using high throughput sequencing technology, reveals the complete sequence of the bacterial genome in a few days. WGS is increasingly being used for source tracking, pathogen surveillance and outbreak investigation due to its high discriminatory power. In the food industry, WGS used for source tracking is beneficial to support contamination investigations. Despite its increased use, no standards or guidelines are available today for the use of WGS in outbreak and/or trace-back investigations. Here we present a validation of our complete (end-to-end) WGS workflow for and including: subculture of isolates, DNA extraction, sequencing and bioinformatics analysis. This end-to-end WGS workflow was evaluated according to the following performance criteria: stability, repeatability, reproducibility, discriminatory power, and epidemiological concordance. The current study showed that few single nucleotide polymorphism (SNPs) were observed for and when comparing genome sequences from five independent colonies from the first subculture and five independent colonies after the tenth subculture. Consequently, the stability of the WGS workflow for and was demonstrated despite the few genomic variations that can occur during subculturing steps. Repeatability and reproducibility were also demonstrated. The WGS workflow was shown to have a high discriminatory power and has the ability to show genetic relatedness. Additionally, the WGS workflow was able to reproduce published outbreak investigation results, illustrating its capability of showing epidemiological concordance. The current study proposes a validation approach comprising all steps of a WGS workflow and demonstrates that the workflow can be applied to or .

摘要

全基因组测序(WGS)利用高通量测序技术,可在数天内揭示细菌基因组的完整序列。由于其具有高度的鉴别力,WGS越来越多地用于源头追踪、病原体监测和疫情调查。在食品行业,用于源头追踪的WGS有助于支持污染调查。尽管其应用越来越广泛,但目前尚无关于在疫情和/或追溯调查中使用WGS的标准或指南。在此,我们展示了针对[具体对象1]和[具体对象2]的完整(端到端)WGS工作流程的验证,包括:分离株的传代培养、DNA提取、测序和生物信息学分析。根据以下性能标准对该端到端WGS工作流程进行了评估:稳定性、重复性、再现性、鉴别力和流行病学一致性。当前研究表明,在比较来自首次传代培养的五个独立菌落和第十次传代培养后的五个独立菌落的基因组序列时,[具体对象1]和[具体对象2]观察到的单核苷酸多态性(SNP)很少。因此,尽管在传代培养步骤中可能会出现少量基因组变异,但仍证明了针对[具体对象1]和[具体对象2]的WGS工作流程的稳定性。还证明了重复性和再现性。WGS工作流程显示出具有高度的鉴别力,并有能力显示遗传相关性。此外,WGS工作流程能够重现已发表的疫情调查结果,说明了其显示流行病学一致性的能力。当前研究提出了一种涵盖WGS工作流程所有步骤的验证方法,并证明该工作流程可应用于[具体对象1]或[具体对象2]。

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