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Prevalence and circulation patterns of SARS-CoV-2 variants in European sewage mirror clinical data of 54 European cities

  • Shelesh Agrawal*
  • , Laura Orschler
  • , Selina Schubert
  • , Kira Zachmann
  • , Leo Heijnen
  • , Simona Tavazzi
  • , Bernd Manfred Gawlik
  • , Miranda de Graaf
  • , Gertjan Medema
  • , Susanne Lackner
  • *Corresponding author for this work
  • Technische Universität Darmstadt
  • KWR Water Research Institute
  • European Commission Joint Research Centre Institute
  • Erasmus University Rotterdam

Research output: Contribution to journalArticleAcademicpeer-review

59 Citations (Scopus)
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Abstract

For community-level monitoring, the European Commission under the EU Sewage Sentinel System recommends wastewater-based SARS-CoV-2 surveillance. Tracking SARS-CoV-2 variants in a community is pivotal for appropriate public health response. Genome sequencing of SARS-CoV-2 in wastewater samples for tracking variants is challenging, often resulting in low coverage genome sequences, thereby impeding the detection of the SARS-CoV-2 mutations. Therefore, we aimed at high-coverage SARS-CoV-2 genome sequences from sewage samples which we successfully accomplished. This first pan-European surveillance compared the mutation profiles associated with the variants of concerns: B.1.1.7, P.1, B.1.351 and B.1.617.2 across 20 European countries, including 54 municipalities. The results highlight that SARS-CoV-2 variants detected in the wastewater samples mirror the variants profiles reported in clinical data. This study demonstrated that >98% coverage of SARS-CoV-2 genomic sequences is possible and can be used to track SARS-CoV-2 mutations in wastewater to support identifying variants circulating in a city at the community level.

Original languageEnglish
Article number118162
JournalWater Research
Volume214
DOIs
Publication statusPublished - 1 May 2022

Bibliographical note

Publisher Copyright: © 2022 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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