RCPAQAP Biosecurity, St Leonards, NSW, Australia.
Communicable Diseases Genomics Network (CDGN), Public Health Laboratory Network (PHLN), Australia; Microbiological Diagnostic Unit Public Health Laboratory (MDU PHL), The University of Melbourne at The Peter Doherty Institute for Immunity and Infection, Melbourne, Vic, Australia.
Pathology. 2021 Dec;53(7):902-911. doi: 10.1016/j.pathol.2021.03.012. Epub 2021 Jul 15.
The adoption of whole genome sequencing (WGS) data over the past decade for pathogen surveillance, and decision-making for infectious diseases has rapidly transformed the landscape of clinical microbiology and public health. However, for successful transition to routine use of these techniques, it is crucial to ensure the WGS data generated meet defined quality standards for pathogen identification, typing, antimicrobial resistance detection and surveillance. Further, the ongoing development of these standards will ensure that the bioinformatic processes are capable of accurately identifying and characterising organisms of interest, and thereby facilitate the integration of WGS into routine clinical and public health laboratory setting. A pilot proficiency testing (PT) program for WGS of infectious agents was developed to facilitate widely applicable standardisation and benchmarking standards for WGS across a range of laboratories. The PT participating laboratories were required to generate WGS data from two bacterial isolates, and submit the raw data for independent bioinformatics analysis, as well as analyse the data with their own processes and answer relevant questions about the data. Overall, laboratories used a diverse range of bioinformatics tools and could generate and analyse high-quality data, either meeting or exceeding the minimum requirements. This pilot has provided valuable insight into the current state of genomics in clinical microbiology and public health laboratories across Australia. It will provide a baseline guide for the standardisation of WGS and enable the development of a PT program that allows an ongoing performance benchmark for accreditation of WGS-based test processes.
在过去十年中,全基因组测序(WGS)数据在病原体监测和传染病决策中的应用,迅速改变了临床微生物学和公共卫生领域的格局。然而,要成功将这些技术常规应用,确保生成的 WGS 数据符合病原体鉴定、分型、抗菌药物耐药性检测和监测的既定质量标准至关重要。此外,这些标准的不断发展将确保生物信息学流程能够准确识别和描述感兴趣的生物,从而促进 WGS 整合到常规临床和公共卫生实验室环境中。本研究开发了用于传染性病原体 WGS 的试点能力验证(PT)计划,以促进在一系列实验室中广泛适用的 WGS 标准化和基准测试标准。该 PT 计划要求参与实验室从两个细菌分离株中生成 WGS 数据,并提交原始数据进行独立的生物信息学分析,以及使用自己的流程分析数据并回答有关数据的相关问题。总体而言,实验室使用了各种不同的生物信息学工具,能够生成和分析高质量的数据,要么满足要么超过最低要求。该试点项目为澳大利亚临床微生物学和公共卫生实验室的基因组学现状提供了有价值的见解。它将为 WGS 的标准化提供基线指南,并能够开发一个 PT 计划,以便对基于 WGS 的测试过程的认证进行持续的性能基准测试。