Abstract
AbstractWe present GenEra (https://github.com/josuebarrera/GenEra), a DIAMOND-fueled gene-family founder inference framework that addresses previously raised limitations and biases in genomic phylostratigraphy, such as homology detection failure. GenEra also reduces computational time from several months to a few days for any genome of interest. We analyze the emergence of taxonomically restricted gene families during major evolutionary transitions in plants, animals, and fungi. Our results indicate that the impact of homology detection failure on inferred patterns of gene emergence is lineage-dependent, suggesting that plants are more prone to evolve novelty through the emergence of new genes compared to animals and fungi.
Funder
H2020 European Research Council
Alexander von Humboldt-Stiftung
Gordon and Betty Moore Foundation
Fondation Bettencourt Schueller
Max Planck Institute for Biology Tübingen
Publisher
Springer Science and Business Media LLC
Cited by
13 articles.
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