Recent advances in DNA sequencing techniques have led to the determination of many entire genome sequences. New insights into the biological functions and evolution of these organisms has been gained from this information. A new qualitatively different kind of analysis is possible with complete genome sequence data - that is, the evaluation of apparently missing genes and the potential consequences of their loss on the biology of the organism. To systematically identify potentially missing genes one must first classify genes from a number of organisms into groups of orthologs. Orthologs are genes from different organisms derived from the same g ene in the closest common ancestor of these organisms. They are thus the genes most likely to perform biologically similar functions and often share the greatest sequence similarity. Once these classifications are made, one simply examines the phylogenetic pattern in the ortholog groups to identify potentially lost genes in the studied organism as compared to the reference organisms.? ? In addition, global properties of proteins may be studied from a genomic perspective, for example, the relationship of sequence length and conservation.? ? These approaches may also be used to study bacterial and viral pathogens. We will be focussing initially on influenza virus and using complete genome sequence to better understand the epidemiology and natural history of the virus. This understanding may be useful in improving surveillance, formulating vaccines, and preparing for pandemics.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Intramural Research (Z01)
Project #
1Z01LM000077-10
Application #
7316252
Study Section
(CBB)
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
2006
Total Cost
Indirect Cost
Name
National Library of Medicine
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Benson, Dennis A; Karsch-Mizrachi, Ilene; Lipman, David J et al. (2007) GenBank. Nucleic Acids Res 35:D21-5
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Holmes, Edward C; Lipman, David J; Zamarin, Dmitriy et al. (2006) Comment on ""Large-scale sequence analysis of avian influenza isolates"". Science 313:1573; author reply 1573
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Koonin, Eugene V; Landweber, Laura F; Lipman, David J (2006) A community experiment with fully open and published peer review. Biol Direct 1:1
Nelson, Martha I; Simonsen, Lone; Viboud, Cecile et al. (2006) Stochastic processes are key determinants of short-term evolution in influenza a virus. PLoS Pathog 2:e125
Holmes, Edward C; Ghedin, Elodie; Miller, Naomi et al. (2005) Whole-genome analysis of human influenza A virus reveals multiple persistent lineages and reassortment among recent H3N2 viruses. PLoS Biol 3:e300
Benson, Dennis A; Karsch-Mizrachi, Ilene; Lipman, David J et al. (2005) GenBank. Nucleic Acids Res 33:D34-8
Wheeler, David L; Barrett, Tanya; Benson, Dennis A et al. (2005) Database resources of the National Center for Biotechnology Information. Nucleic Acids Res 33:D39-45
Ghedin, Elodie; Sengamalay, Naomi A; Shumway, Martin et al. (2005) Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution. Nature 437:1162-6

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