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

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

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)1162-1166
Number of pages5
Issue number7062
StatePublished - Oct 20 2005

ASJC Scopus subject areas

  • General


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