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J Gen Virol 85 (2004), 2615-2625; DOI 10.1099/vir.0.80118-0

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© 2004 Society for General Microbiology

Natural variation among human adenoviruses: genome sequence and annotation of human adenovirus serotype 1

Kim P. Lauer1, Isabel Llorente1, Eric Blair1, Jason Seto1, Vladimir Krasnov1, Anjan Purkayastha1,4,5, Susan E. Ditty2,5, Ted L. Hadfield2,5, Charles Buck3, Clark Tibbetts4,5 and Donald Seto1,4,5

1 Bioinformatics and Computational Biology, School of Computational Sciences, George Mason University, 10900 University Boulevard, MSN 5B3, Manassas, VA 20110, USA
2 Division of Microbiology, Department of Infectious and Parasitic Diseases Pathology, Armed Forces Institute of Pathology, 5300 Georgia Avenue NW, Washington, DC 20306, USA
3 Department of Virology, American Type Culture Collection (ATCC), Manassas, VA 20108, USA
4 HQ USAF Surgeon General Office, Directorate of Modernization (SGR), 5201 Leesburg Pike, Suite 1401, Falls Church, VA 22041, USA
5 Epidemic Outbreak Surveillance (EOS) Consortium, 5201 Leesburg Pike, Suite 1401, Falls Church, VA 22041, USA

Correspondence
Donald Seto
dseto{at}gmu.edu

The 36 001 base pair DNA sequence of human adenovirus serotype 1 (HAdV-1) has been determined, using a ‘leveraged primer sequencing strategy’ to generate high quality sequences economically. This annotated genome (GenBank AF534906) confirms anticipated similarity to closely related species C (formerly subgroup), human adenoviruses HAdV-2 and -5, and near identity with earlier reports of sequences representing parts of the HAdV-1 genome. A first round of HAdV-1 sequence data acquisition used PCR amplification and sequencing primers from sequences common to the genomes of HAdV-2 and -5. The subsequent rounds of sequencing used primers derived from the newly generated data. Corroborative re-sequencing with primers selected from this HAdV-1 dataset generated sparsely tiled arrays of high quality sequencing ladders spanning both complementary strands of the HAdV-1 genome. These strategies allow for rapid and accurate low-pass sequencing of genomes. Such rapid genome determinations facilitate the development of specific probes for differentiation of family, serotype, subtype and strain (e.g. pathogen genome signatures). These will be used to monitor epidemic outbreaks of acute respiratory disease in a defined test bed by the Epidemic Outbreak Surveillance (EOS) project.




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