Department of Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan.
Interdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan.
Sci Total Environ. 2024 Jan 10;907:167844. doi: 10.1016/j.scitotenv.2023.167844. Epub 2023 Oct 17.
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is a major public health concern that has highlighted the need to monitor circulating strains to better understand the coronavirus disease 2019 (COVID-19) pandemic. This study was carried out to monitor SARS-CoV-2 RNA and its variant-specific mutations in wastewater using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). One-step RT-qPCR using the SARS-CoV-2 Detection RT-qPCR Kit for Wastewater (Takara Bio), which amplified two N-gene regions simultaneously using CDC N1 and N2 assays with a single fluorescence dye, demonstrated better performance in detecting SARS-CoV-2 RNA (positive ratio, 66 %) compared to two-step RT-qPCR using CDC N1 or N2 assay (40 % each, and 52 % when combined), with significantly lower Ct values. The one-step RT-qPCR assay detected SARS-CoV-2 RNA in 59 % (38/64) of influent samples collected from a wastewater treatment plant in Japan between January 2021 and March 2022. The correlation between the concentration of SARS-CoV-2 RNA in the wastewater and the number of COVID-19 cases reported each day for 7 days pre- and post-sampling was significant (p < 0.05, r = 0.76 ± 0.03). Thirty-one influent samples which showed two-well positive for SARS-CoV-2 RNA were further tested by six mutations site-specific one-step RT-qPCR (E484K, L452R, N501Y, T478K, G339D, and E484A mutations). The N501Y mutation was detected between March and June 2021 but was replaced by the L452R and T478K mutations between July and October 2021, reflecting the shift from Alpha to Delta variants in the study region. The G339D and E484A mutations were identified in January 2022 and later when the incidence of the Omicron variant peaked. These findings indicate that wastewater-based epidemiology has the epidemiological potential to complement clinical tests to track the spread of COVID-19 and monitor variants circulating in communities.
严重急性呼吸综合征冠状病毒 2 型 (SARS-CoV-2) 变体的出现是一个主要的公共卫生关注点,这突显了监测循环毒株以更好地了解 2019 年冠状病毒病 (COVID-19) 大流行的必要性。本研究旨在使用逆转录定量聚合酶链反应 (RT-qPCR) 监测废水中的 SARS-CoV-2 RNA 及其变体特异性突变。一步 RT-qPCR 使用 SARS-CoV-2 检测 RT-qPCR 试剂盒用于废水(Takara Bio),该试剂盒使用 CDC N1 和 N2 测定法同时扩增两个 N 基因区域,使用单一荧光染料,与两步 RT-qPCR 使用 CDC N1 或 N2 测定法(分别为 40%和 52%)相比,在检测 SARS-CoV-2 RNA 方面表现出更好的性能(阳性率为 66%),Ct 值显著降低。一步 RT-qPCR 检测到 2021 年 1 月至 2022 年 3 月期间从日本一家废水处理厂采集的 64 个进水样本中的 59%(38/64)含有 SARS-CoV-2 RNA。废水 SARS-CoV-2 RNA 浓度与采样前 7 天每天报告的 COVID-19 病例数之间的相关性具有统计学意义(p<0.05,r=0.76±0.03)。31 个进水样本在 SARS-CoV-2 RNA 方面表现为两孔阳性,进一步通过六个突变位点特异性一步 RT-qPCR(E484K、L452R、N501Y、T478K、G339D 和 E484A 突变)进行了测试。N501Y 突变于 2021 年 3 月至 6 月间检测到,但 2021 年 7 月至 10 月间被 L452R 和 T478K 突变取代,反映了研究区域中从 Alpha 变体到 Delta 变体的转变。G339D 和 E484A 突变于 2022 年 1 月和奥密克戎变异株流行高峰期时被识别到。这些发现表明,基于废水的流行病学具有补充临床检测以追踪 COVID-19 传播和监测社区中循环变体的流行病学潜力。