Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
School of Chemical, Biological, & Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Water Res. 2021 Sep 15;203:117516. doi: 10.1016/j.watres.2021.117516. Epub 2021 Aug 5.
Due to the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has become an important tool for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within communities. In particular, reverse transcription-quantitative PCR (RT-qPCR) has been used to generate large datasets aimed at detecting and quantifying SARS-CoV-2 RNA in wastewater. Although RT-qPCR is rapid and sensitive, there is no standard method yet, there are no certified quantification standards, and experiments are conducted using different assays, reagents, instruments, and data analysis protocols. These variations can induce errors in quantitative data reports, thereby potentially misleading interpretations, and conclusions. We review the SARS-CoV-2 wastewater surveillance literature focusing on variability of RT-qPCR data as revealed by inconsistent standard curves and associated parameters. We find that variation in these parameters and deviations from best practices, as described in the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines suggest a frequent lack of reproducibility and reliability in quantitative measurements of SARS-CoV-2 RNA in wastewater.
由于 2019 年冠状病毒病(COVID-19)大流行,废水监测已成为监测社区内严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)传播的重要工具。特别是,逆转录定量聚合酶链反应(RT-qPCR)已被用于生成旨在检测和量化废水中 SARS-CoV-2 RNA 的大型数据集。尽管 RT-qPCR 快速且灵敏,但目前尚无标准方法,也没有经过认证的定量标准,并且实验使用不同的检测、试剂、仪器和数据分析方案进行。这些变化会导致定量数据报告中的错误,从而可能导致对解释和结论的误解。我们回顾了 SARS-CoV-2 废水监测文献,重点关注 RT-qPCR 数据的变异性,这些变异性表现为不一致的标准曲线和相关参数。我们发现,这些参数的变化以及与 MIQE 指南中描述的最佳实践的偏差表明,在定量测量废水中的 SARS-CoV-2 RNA 时,经常缺乏重现性和可靠性。