Achievements and legacy of the largest SARS-CoV-2 sequencing effort in Switzerland

Whilst facing extraordinary challenges at the start of the COVID-19 pandemic, the Swiss SARS-CoV-2 sequencing consortium (S3C) was established at D-BSSE. With over 76’000 SARS-CoV-2 genomes sequenced between 2020 and the end of 2022 and made available in open-data archives, the effort led by Tanja Stadler informed science-based decision making – and will facilitate pathogen surveillance in the times to come.

On 17 April, a scientific symposium was held at D-BSSE to acknowledge and celebrate the completion of this massive collaborative effort. In attendance at the symposium were core team members from the research groups led by Tanja Stadler at D-BSSE, the ETH Platforms NEXUS Personalized Health Technologies and the Scientific IT Services, as well as representatives from the diagnostic laboratory Viollier AG, high-throughput sequencing centres including the Genomics Facility Basel and the Functional Genomics Centre Zurich, the Swiss Pathogen Surveillance Platform, the Swiss Institute of Bioinformatics, and the Federal Office of Public Health.

In March 2020, it all started with an impromptu phone call that led to a collaboration between D-BSSE and Viollier AG to sequence SARS-CoV-2 genomes from positive tests. From these humble beginnings the collaboration grew to become the biggest SARS-CoV-2 sequencing effort in Switzerland and left an enormous legacy: 76’922 publicly available SARS-CoV-2 genomes, representing nearly half of all Swiss SARS-CoV-2 genomes sequenced until the end of 2022. Importantly, the consortium was the only Swiss effort to do weekly sequencing throughout 2020, and the resulting genomic data represents an invaluable resource for studying the early spread of the virus in the country.
 

The impact of the project was perhaps most evident over Christmas 2020, when the team monitored the early spread of the Alpha variant in Switzerland and directly informed policy at the highest levels. Moreover, throughout the pandemic S3C was at the forefront of monitoring efforts in Switzerland and discovered the first known Swiss cases of the major SARS-CoV-2 variants Beta, Gamma, and Delta. The research papers relying on data from the consortium is a testament to the importance of the project and the sequencing data will continue to be an important resource in years to come.

Now that the project is at its end the software developed for it won’t go to waste, but will continue to be used in future projects and the acquired know-how will be leveraged in future challenges. In the meantime, the team has shifted its focus to wastewater-based surveillance efforts – monitoring the rise and fall of SARS-CoV-2 variants from wastewater samples. This new effort, in partnership with eawag and EPFL promises to deliver key insights in the fight against infectious diseases.
 

Key partners to the Swiss SARS-CoV-2 sequencing consortium (S3C) were the D-BSSE research groups Computational Evolution of Tanja Stadler and Computational Biology of Niko Beerenwinkel, the ETH Platforms NEXUS Personalized Health Technologies and the Scientific IT Services (SIS), the sequencing facilities Genomics Facility Basel (GFB) and external pageFunctional Genomics Centre Zurich (FGCZ), the diagnostic lab external pageViollier AG, the external pageSwiss Pathogen Surveillance Platform, and the external pageFederal Office for Public Health (FOPH).

Partners to the Surveillance of SARS-CoV-2 genomic variants in wastewater programme led by Niko Beerenwinkel are external pageeawag and external pageEPFL.

 

Key publications from the Swiss SARS-CoV-2 sequencing consortium:

Chen, C, S Nadeau, I Topolsky, N Beerenwinkel, and T Stadler (2022) external pageAdvancing genomic epidemiology by addressing the bioinformatics bottleneck: Challenges, design principles, and a Swiss example. Epidemics, 39, https://doi.org/10.1016/j.epidem.2022.100576

Chen, C, S Nadeau, I Topolsky, M Manceau, J Huisman, K Jablonski, L Fuhrmann, D Dreifuss, K Jahn, C Beckann, M Redondo, C Noppen, L Risch, M Risch, N Wohlwend, S Kas, T Bodmer, T Roloff, M Stange, A Egli, and T Stadler (2022) external pageQuantification of the spread of SARS-CoV-2 variant B.1.1.7 in Switzerland. Epidemics, 37, https://doi.org/10.1016/j.epidem.2021.100480

Nadeau, S, T Vaughan, C Beckmann, I Topolsky, C Chen, E Hodcroft, T Schär, I Nissen, N Santacroce..{+ 38 authors}, and T Stadler (2022) external pageSwiss public health measures associated with reduced SARS-CoV-2 transmission using genome data. Science Translational Medicine, 15: 680, https://www.science.org/doi/full/10.1126/scitranslmed.abn7979

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