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Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution
Author(s): Ghedin E, Sengamalay NA, Shumway M, Zaborsky J, Feldblyum T, Subbu V, Spiro DJ, Sitz J, Koo H, Bolotov P, Dernovoy D, Tatusova T, Bao YM, St George K, Taylor J, Lipman DJ, Fraser CM, Taubenberger JK, Salzberg SL
Source: NATURE    Volume: 437    Issue: 7062    Pages: 1162-1166    Published: OCT 20 2005  
Times Cited: 112     References: 27     
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(1,2). 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(3). 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.
Document Type: Article
Language: English
Reprint Address: Salzberg, SL (reprint author), Inst Genom Res, 9712 Med Ctr Dr, Rockville, MD 20850 USA
Addresses:
1. Inst Genom Res, Rockville, MD 20850 USA
2. NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20894 USA
3. New York State Dept Hlth, Wadsworth Ctr Labs & Res, Albany, NY 12201 USA
4. Armed Forces Inst Pathol, Dept Mol Pathol, Rockville, MD 20850 USA
5. Univ Maryland, Inst Adv Comp Studies, Ctr Bioinformat & Computat Biol, College Pk, MD 20742 USA
Publisher: NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Subject Category: Multidisciplinary Sciences
IDS Number: 975KD
ISSN: 0028-0836
DOI: 10.1038/nature04239
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