Optimized high-throughput whole-genome sequencing workflow for surveillance of influenza A virus.
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Description
Matthias Licheri and Mike Mwanga shared first authorship.
Jenna N. Kelly and Ronald Dijkman shared senior authorship.
Jenna N. Kelly and Ronald Dijkman shared senior authorship.
BORIS DOI
Publisher DOI
PubMed ID
41013580
Description
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.
Date of Publication
2025-09-26
Publication Type
Article
Keyword(s)
Avian IAV
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High-throughput
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Human IAV
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Influenza A virus
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Oxford Nanopore sequencing
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Swine IAV
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Whole-genome sequencing
Language(s)
en
Contributor(s)
Graaf-Rau, Annika | |
Harder, Timm | |
Additional Credits
Series
Genome Medicine
Publisher
BioMed Central
ISSN
1756-994X
Access(Rights)
open.access