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用于在全市范围内对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)进行基因组监测的聚合废水样本快速评估

The Rapid Assessment of Aggregated Wastewater Samples for Genomic Surveillance of SARS-CoV-2 on a City-Wide Scale.

作者信息

Rouchka Eric C, Chariker Julia H, Saurabh Kumar, Waigel Sabine, Zacharias Wolfgang, Zhang Mei, Talley Daymond, Santisteban Ian, Puccio Madeline, Moyer Sarah, Holm Rochelle H, Yeager Ray A, Sokoloski Kevin J, Fuqua Joshua, Bhatnagar Aruni, Smith Ted

机构信息

Department of Biochemistry and Molecular Genetics, University of Louisville, 323 E. Chestnut St., Louisville, KY 40202, USA.

KY INBRE Bioinformatics Core, University of Louisville, 522 E. Gray St., Louisville, KY 40202, USA.

出版信息

Pathogens. 2021 Oct 1;10(10):1271. doi: 10.3390/pathogens10101271.

Abstract

Throughout the course of the ongoing SARS-CoV-2 pandemic there has been a need for approaches that enable rapid monitoring of public health using an unbiased and minimally invasive means. A major way this has been accomplished is through the regular assessment of wastewater samples by qRT-PCR to detect the prevalence of viral nucleic acid with respect to time and location. Further expansion of SARS-CoV-2 wastewater monitoring efforts to include the detection of variants of interest/concern through next-generation sequencing has enhanced the understanding of the SARS-CoV-2 outbreak. In this report, we detail the results of a collaborative effort between public health and metropolitan wastewater management authorities and the University of Louisville to monitor the SARS-CoV-2 pandemic through the monitoring of aggregate wastewater samples over a period of 28 weeks. Through the use of next-generation sequencing approaches the polymorphism signatures of Variants of Concern/Interest were evaluated to determine the likelihood of their prevalence within the community on the basis of their relative dominance within sequence datasets. Our data indicate that wastewater monitoring of water quality treatment centers and smaller neighborhood-scale catchment areas is a viable means by which the prevalence and genetic variation of SARS-CoV-2 within a metropolitan community of approximately one million individuals may be monitored, as our efforts detected the introduction and emergence of variants of concern in the city of Louisville. Importantly, these efforts confirm that regional emergence and spread of variants of interest/concern may be detected as readily in aggregate wastewater samples as compared to the individual wastewater sheds. Furthermore, the information gained from these efforts enabled targeted public health efforts including increased outreach to at-risk communities and the deployment of mobile or community-focused vaccination campaigns.

摘要

在持续的新冠疫情期间,一直需要能够使用无偏差且微创手段对公共卫生进行快速监测的方法。实现这一目标的主要方式是通过定量逆转录聚合酶链反应(qRT-PCR)定期评估废水样本,以检测病毒核酸随时间和地点的流行情况。将新冠病毒废水监测工作进一步扩展,包括通过下一代测序检测感兴趣/关注的变异株,这增强了对新冠疫情爆发的理解。在本报告中,我们详细介绍了公共卫生部门、大都市废水管理当局与路易斯维尔大学之间的合作成果,即在28周的时间里通过监测汇总废水样本对新冠疫情进行监测。通过使用下一代测序方法,对关注/感兴趣变异株的多态性特征进行了评估,以根据它们在序列数据集中的相对优势来确定其在社区中流行的可能性。我们的数据表明,对水质处理中心和较小社区规模集水区的废水监测是一种可行的手段,通过这种手段可以监测大约100万人口的大都市社区内新冠病毒的流行情况和基因变异,因为我们的工作检测到了路易斯维尔市关注变异株的引入和出现。重要的是,这些工作证实,与单个废水排放区域相比,在汇总废水样本中同样可以很容易地检测到关注/感兴趣变异株在区域内的出现和传播。此外,从这些工作中获得的信息有助于开展有针对性的公共卫生工作,包括加强对高危社区的宣传以及开展流动或以社区为重点的疫苗接种活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/726c/8541652/485dc8baf133/pathogens-10-01271-g001.jpg

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