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Theoretical Population Biology
Article . 2002 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Evolution of Viral Structure

Authors: Bamford, D; Burnett, R; Stuart, D;

Evolution of Viral Structure

Abstract

Viruses vastly outnumber their host cells and must present a huge selective pressure. It is also becoming evident that only a small percent of the eukaryotic genome codes for molecules involved in cellular structures and functions, and that much of the remainder may have a viral origin. Viruses clearly play a central role in the biosphere, but how is this viral world organized? Classification was originally based on virus morphology and the particular host infected, but now there is an increasing trend to rely on sequence information. The type of genome (e.g., RNA or DNA, single- or double-stranded) provides fundamental classification criteria, while sequence comparisons can provide fine mapping for closely related viruses. However, it is currently very difficult to identify long-range evolutionary relationships. We present here a different approach, based on the idea that each virus has an innate "self." When the structures and functions characteristic of this "self" are identified, then they uncover relationships beyond those accessible from sequence information alone. The new approach is illustrated by sketching some possible viral lineages. We propose that urviruses were present before the division of cellular life into its current domains, and that the viral world has lineages that can be traced back to the root of the universal tree of life.

Country
United Kingdom
Related Organizations
Keywords

Viruses, Biological Evolution

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
145
Top 10%
Top 10%
Top 1%
Green