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Cited by 466

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution

Open access
Ghedin, Elodie, Sengamalay, Naomi A., Shumway, Martin, Zaborsky, Jennifer, Feldblyum, Tamara, Subbu, Vik, Spiro, David J., Sitz, Jeff, Koo, Hean, Bolotov, Pavel, Dernovoy, Dmitry, Tatusova, Tatiana, Bao, Yiming, St George, Kirsten, Taylor, Jill, Lipman, David J., Fraser, Claire M., Taubenberger, Jeffery K., Salzberg, Steven L.·2005·Nature

Abstract

Influenza viruses are remarkably adept at surviving in the human population over a long timescale. The human influenza A virus continues to thrive even among populations with widespread access to vaccines, and continues to be a major cause of morbidity and mortality. The virus mutates from year to year, making the existing vaccines ineffective on a regular basis, and requiring that new strains be chosen for a new vaccine. Less-frequent major changes, known as antigenic shift, create new strains against which the human population has little protective immunity, thereby causing worldwide pandemics. The most recent pandemics include the 1918 'Spanish' flu, one of the most deadly outbreaks in recorded history, which killed 30-50 million people worldwide, the 1957 'Asian' flu, and the 1968 'Hong Kong' flu. Motivated by the need for a better understanding of influenza evolution, we have developed flexible protocols that make it possible to apply large-scale sequencing techniques to the highly variable influenza genome. Here we report the results of sequencing 209 complete genomes of the human influenza A virus, encompassing a total of 2,821,103 nucleotides. In addition to increasing markedly the number of publicly available, complete influenza virus genomes, we have discovered several anomalies in these first 209 genomes that demonstrate the dynamic nature of influenza transmission and evolution. This new, large-scale sequencing effort promises to provide a more comprehensive picture of the evolution of influenza viruses and of their pattern of transmission through human and animal populations. All data from this project are being deposited, without delay, in public archives.

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Metadata

Authors
Ghedin, E., Sengamalay, N. A., Shumway, M., Zaborsky, J., Feldblyum, T., Subbu, V., Spiro, D. J., Sitz, J., Koo, H., Bolotov, P., Dernovoy, D., Tatusova, T., Bao, Y., St George, K., Taylor, J., Lipman, D. J., Fraser, C. M., Taubenberger, J. K., & Salzberg, S. L.
Venue
Nature
Published
2005-10
Volume
437
Issue
7062
Pages
1162-1166
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2091526576
Cited by
466
References
22
FWCI
25.96
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution. https://app.cochat.ai/papers/10.1038/nature04239
The paper
Ghedin, E., Sengamalay, N. A., Shumway, M., Zaborsky, J., Feldblyum, T., Subbu, V., Spiro, D. J., Sitz, J., Koo, H., Bolotov, P., Dernovoy, D., Tatusova, T., Bao, Y., St George, K., Taylor, J., Lipman, D. J., Fraser, C. M., Taubenberger, J. K., & Salzberg, S. L. (2005). Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution. Nature. https://doi.org/10.1038/nature04239

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.