Systematic errors in orthology inference and their effects on evolutionary analyses.

Autor:	Natsidis P; Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Ecology, University College London, London WC1E 6BT, UK., Kapli P; Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Ecology, University College London, London WC1E 6BT, UK., Schiffer PH; Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Ecology, University College London, London WC1E 6BT, UK., Telford MJ; Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Ecology, University College London, London WC1E 6BT, UK.
Jazyk:	angličtina
Zdroj:	IScience [iScience] 2021 Jan 28; Vol. 24 (2), pp. 102110. Date of Electronic Publication: 2021 Jan 28 (Print Publication: 2021).
DOI:	10.1016/j.isci.2021.102110
Abstrakt:	The availability of complete sets of genes from many organisms makes it possible to identify genes unique to (or lost from) certain clades. This information is used to reconstruct phylogenetic trees; identify genes involved in the evolution of clade specific novelties; and for phylostratigraphy-identifying ages of genes in a given species. These investigations rely on accurately predicted orthologs. Here we use simulation to produce sets of orthologs that experience no gains or losses. We show that errors in identifying orthologs increase with higher rates of evolution. We use the predicted sets of orthologs, with errors, to reconstruct phylogenetic trees; to count gains and losses; and for phylostratigraphy. Our simulated data, containing information only from errors in orthology prediction, closely recapitulate findings from empirical data. We suggest published downstream analyses must be informed to a large extent by errors in orthology prediction that mimic expected patterns of gene evolution. Competing Interests: The authors declare no competing interests. (© 2021 The Author(s).)
Databáze:	MEDLINE
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