| Literature DB >> 35851376 |
Fabian Amman1,2, Rudolf Markt3, Lukas Endler1,2, Sebastian Hupfauf3, Benedikt Agerer1, Anna Schedl1,2, Lukas Richter4, Melanie Zechmeister5, Martin Bicher5,6, Georg Heiler7,8, Petr Triska1,2, Matthew Thornton1,2, Thomas Penz1, Martin Senekowitsch1, Jan Laine1, Zsofia Keszei1, Peter Klimek7,9, Fabiana Nägele3, Markus Mayr3, Beatrice Daleiden10, Martin Steinlechner10, Harald Niederstätter10, Petra Heidinger11, Wolfgang Rauch12, Christoph Scheffknecht13, Gunther Vogl14, Günther Weichlinger15, Andreas Otto Wagner3, Katarzyna Slipko16, Amandine Masseron16, Elena Radu16,17, Franz Allerberger4, Niki Popper5,6, Christoph Bock1,18, Daniela Schmid4, Herbert Oberacher10, Norbert Kreuzinger16, Heribert Insam3, Andreas Bergthaler19,20.
Abstract
SARS-CoV-2 surveillance by wastewater-based epidemiology is poised to provide a complementary approach to sequencing individual cases. However, robust quantification of variants and de novo detection of emerging variants remains challenging for existing strategies. We deep sequenced 3,413 wastewater samples representing 94 municipal catchments, covering >59% of the population of Austria, from December 2020 to February 2022. Our system of variant quantification in sewage pipeline designed for robustness (termed VaQuERo) enabled us to deduce the spatiotemporal abundance of predefined variants from complex wastewater samples. These results were validated against epidemiological records of >311,000 individual cases. Furthermore, we describe elevated viral genetic diversity during the Delta variant period, provide a framework to predict emerging variants and measure the reproductive advantage of variants of concern by calculating variant-specific reproduction numbers from wastewater. Together, this study demonstrates the power of national-scale WBE to support public health and promises particular value for countries without extensive individual monitoring.Entities:
Year: 2022 PMID: 35851376 DOI: 10.1038/s41587-022-01387-y
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 68.164