Optimized high-throughput whole-genome sequencing workflow for surveillance of influenza A virus

Whole-genome sequencing (WGS) is essential for monitoring the genetic diversity of influenza A virus (IAV) across host species. We optimized a multisegment RT-PCR (mRT-PCR) protocol to enhance amplification of all eight IAV segments using modified RT and PCR conditions. Additionally, we introduced a dual-barcoding approach for the Oxford Nanopore platform, enabling high-throughput multiplexing without compromising sensitivity. The resulting workflow is robust, scalable, and effective for avian, swine, and human IAV samples, even at low viral loads. This approach strengthens genomic surveillance at the human-animal interface, supporting early detection, evolutionary monitoring, and rapid identification of IAV spillover events.

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Publication Details

Journal
Genome Medicine
Published
2025-09-26
DOI
https://doi.org/10.1186/s13073-025-01512-x
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimized high-throughput whole-genome sequencing workflow for surveillance of influenza A virus

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Genome Medicine
Influenza Virus Research Studies
article

Optimized high-throughput whole-genome sequencing workflow for surveillance of influenza A virus

Pascal Bittel, Jenna N. Kelly, Ronald Dijkman, Manon Flore Licheri, Matthias Licheri, Annika Graaf, Mike J. Mwanga, Franziska Suter‐Riniker, Timm Harder, Cora Sägesser
article en

Abstract

Whole-genome sequencing (WGS) is essential for monitoring the genetic diversity of influenza A virus (IAV) across host species. We optimized a multisegment RT-PCR (mRT-PCR) protocol to enhance amplification of all eight IAV segments using modified RT and PCR conditions. Additionally, we introduced a dual-barcoding approach for the Oxford Nanopore platform, enabling high-throughput multiplexing without compromising sensitivity. The resulting workflow is robust, scalable, and effective for avian, swine, and human IAV samples, even at low viral loads. This approach strengthens genomic surveillance at the human-animal interface, supporting early detection, evolutionary monitoring, and rapid identification of IAV spillover events.

Genome MedicineVol. 17(1)
University of Bern (CH), Bern University of Applied Sciences (CH), Friedrich-Loeffler-Institut (DE), Universidad Iberoamericana (DO), Jena Bioscience (Germany) (DE), Institute of Virology of the Slovak Academy of Sciences (SK)
National Science Foundation, University of Bern, Ministerul Cercetării, Inovării şi Digitalizării, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 64%
Influenza Virus Research Studies
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