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Phylogenetic network analysis of SARS-CoV-2 genomes

Peter Forster, Lucy Forster, Colin Renfrew and 1 more

Proceedings of the National Academy of Sciences · 2020 · CC BY

doi:10.1073/pnas.2004999117

Abstract

Significance This is a phylogenetic network of SARS-CoV-2 genomes sampled from across the world. These genomes are closely related and under evolutionary selection in their human hosts, sometimes with parallel evolution events, that is, the same virus mutation emerges in two different human hosts. This makes character-based phylogenetic networks the method of choice for reconstructing their evolutionary paths and their ancestral genome in the human host. The network method has been used in around 10,000 phylogenetic studies of diverse organisms, and is mostly known for reconstructing the prehistoric population movements of humans and for ecological studies, but is less commonly employed in the field of virology.

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  1. 1.

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  2. 2.

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    Not in our library

  3. 3.

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    Not in our library

  4. 4.

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    Not in our library

  5. 5.

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  6. 6.

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  7. 7.

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  8. 8.

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    Not in our library

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