Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel

被引:73
|
作者
Bar-Or, Itay [1 ]
Weil, Merav [1 ]
Indenbaum, Victoria [1 ]
Bucris, Efrat [1 ]
Bar-Ilan, Dana [1 ]
Elul, Michal [1 ]
Levi, Nofar [1 ]
Aguvaev, Irina [1 ]
Cohen, Zvi [1 ]
Shirazi, Rachel [1 ]
Erster, Oran [1 ]
Sela-Brown, Alin [1 ]
Sofer, Danit [1 ]
Mor, Orna [1 ,2 ]
Mendelson, Ella [1 ,2 ]
Zuckerman, Neta S. [1 ]
机构
[1] Minist Hlth, Chaim Sheba Med Ctr, Cent Virol Lab, Ramat Gan, Israel
[2] Tel Aviv Univ, Sch Publ Hlth, Sackler Fac Med, Tel Aviv, Israel
关键词
Wastewater; Sequencing; SARS-CoV-2; Sewage; Variants; ENVIRONMENTAL SURVEILLANCE;
D O I
10.1016/j.scitotenv.2021.148002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Investigation of SARS-CoV-2 spread and identification of variants in sewers has been demonstrated to accurately detect prevalence of viral strains and is advantageous to clinical sampling in population catchment size. Herein, we utilized an established nationwide system of wastewater sampling and viral concentration approaches to perform large-scale surveillance of SARS-CoV-2 variants in nine different locations across Israel that were sampled from August 2020 to February 2021 and sequenced (n = 58). Viral sequences obtained from the wastewater samples had high coverages of the genome, and mutation analyses successfully identified the penetration of the B.1.1.7 variant into Israel in December 2020 in the central and north regions, and its spread into additional regions in January and February 2021, corresponding with clinical sampling results. Moreover, the wastewater analysis identified the B.1.1.7 variant in December 2020 in regions in which non-sufficient clinical sampling was available. Other variants of concern examined, including P.1 (Brazil/Manaus), B.1.429 (USA/California), B.1.526 (USA/New York), A.23.1 (Uganda) and B.1.525 (Unknown origin), did not show consistently elevated frequencies. This study exemplifies that surveillance by sewage is a robust approach which allows to monitor the diversity of SARS-CoV-2 strains circulating in the community. Most importantly, this approach can pre-identify the emergence of epidemiologically or clinically relevant mutations/variants, aiding in public health decision making. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
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页数:6
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