Developing and benchmarking one health genomic surveillance tools for influenza A virus in wastewater

Abstract Influenza A viruses (IAV) remain a persistent One Health threat, and whole-genome sequencing from wastewater offers a promising surveillance tool. However, IAV is at low abundance in wastewater, making it difficult to sequence. We benchmark four targeted enrichment methods suited for multi-subtype whole-genome IAV sequencing including custom and off-the-shelf methods. Our custom HA tiled-amplicon panel is sensitive, fast, and cost-effective, making it suitable for monitoring low-abundance seasonal variants of known subtypes, although its reliance on conserved and intact primer-binding sites limits primer design to fewer subtypes. A published universal amplicon method targets all IAV subtypes but performs poorly in wastewater due to its reliance on intact genome segments. Meanwhile, probe-capture methods are resilient to RNA degradation. In real wastewater samples, our custom probe panel recovers whole-genome signals from circulating H1N1, H3N2, H5N1, including validated H5N1 2.3.4.4b reads in samples where dPCR detection is limited. However, probe-capture is generally more costly and labor-intensive than amplicon methods. Across all four sequencing methods, two wastewater matrices, and most spike-in and endogenous virus targets, ultrafiltration-based virus concentration consistently outperforms large-volume direct extraction. Together, these benchmarking comparisons and custom panels provide needed information for implementing IAV genomic sequencing in routine wastewater surveillance.

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Publication Details

Journal
Nature Communications
Published
2026-10-17
DOI
https://doi.org/10.1038/s41467-026-78683-7
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing and benchmarking one health genomic surveillance tools for influenza A virus in wastewater

Kara L. Nelson, James B. Thissen, Rose S. Kantor, Minxi Jiang et al.
Nature Communications
Influenza Virus Research Studies
article

Developing and benchmarking one health genomic surveillance tools for influenza A virus in wastewater

Kara L. Nelson, James B. Thissen, Rose S. Kantor, Minxi Jiang, A. Wang, Lenore Pipes
article en

Abstract

Abstract Influenza A viruses (IAV) remain a persistent One Health threat, and whole-genome sequencing from wastewater offers a promising surveillance tool. However, IAV is at low abundance in wastewater, making it difficult to sequence. We benchmark four targeted enrichment methods suited for multi-subtype whole-genome IAV sequencing including custom and off-the-shelf methods. Our custom HA tiled-amplicon panel is sensitive, fast, and cost-effective, making it suitable for monitoring low-abundance seasonal variants of known subtypes, although its reliance on conserved and intact primer-binding sites limits primer design to fewer subtypes. A published universal amplicon method targets all IAV subtypes but performs poorly in wastewater due to its reliance on intact genome segments. Meanwhile, probe-capture methods are resilient to RNA degradation. In real wastewater samples, our custom probe panel recovers whole-genome signals from circulating H1N1, H3N2, H5N1, including validated H5N1 2.3.4.4b reads in samples where dPCR detection is limited. However, probe-capture is generally more costly and labor-intensive than amplicon methods. Across all four sequencing methods, two wastewater matrices, and most spike-in and endogenous virus targets, ultrafiltration-based virus concentration consistently outperforms large-volume direct extraction. Together, these benchmarking comparisons and custom panels provide needed information for implementing IAV genomic sequencing in routine wastewater surveillance.

Nature Communications
University of Hawaiʻi at Mānoa (US), Lawrence Livermore National Laboratory (US), Lawrence Berkeley National Laboratory (US), University of California, Berkeley (US)
National Science Foundation, U.S. Department of Energy, National Institutes of Health, Office of the President, University of California, Office of Advanced Cyberinfrastructure, Laboratory Directed Research and Development, Lawrence Livermore National Laboratory
Good health and well-being, Clean water and sanitation
Openalex Percentile: Top 12%
Influenza Virus Research Studies
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