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Cited by 185

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Endogenous viruses: Connecting recent and ancient viral evolution

Open access
Aiewsakun, Pakorn, Katzourakis, Aris·2015·Virology

Abstract

The rapid rates of viral evolution allow us to reconstruct the recent history of viruses in great detail. This feature, however, also results in rapid erosion of evolutionary signal within viral molecular data, impeding studies of their deep history. Thus, the further back in time, the less accurate the inference becomes. Furthermore, reconstructing complex histories of transmission can be challenging, especially where extinct viral lineages are concerned. This problem has been partially solved by the discovery of viruses embedded in host genomes, known as endogenous viral elements (EVEs). Some of these endogenous viruses are derived from ancient relatives of extant viruses, allowing us to better examine ancient viral host range, geographical distribution and transmission routes. Moreover, our knowledge of viral evolutionary timescales and rate dynamics has also been greatly improved by their discovery, thereby bridging the gap between recent and ancient viral evolution.

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Metadata

Authors
Aiewsakun, P., & Katzourakis, A.
Venue
Virology
Publisher
Elsevier BV
Published
2015-05
Volume
479-480
Pages
26-37
ISSN
0042-6822 (ISSN-L)
OpenAlex
W1987365317
Cited by
185
References
10
FWCI
13.16
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Endogenous viruses: Connecting recent and ancient viral evolution. https://app.cochat.ai/papers/10.1016/j.virol.2015.02.011
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Aiewsakun, P., & Katzourakis, A. (2015). Endogenous viruses: Connecting recent and ancient viral evolution. Virology. https://doi.org/10.1016/j.virol.2015.02.011

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.