bioRxiv preprint doi: https://doi.org/10.1101/2021.01.12.426341; this version posted March 25, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. G´omez-P´erez and Kemen RESEARCH Predicting lifestyle and host from positive selection data and genome properties in oomycetes Daniel Gomez-P´ ´erez* and Eric Kemen *Correspondence: daniel.gomez-
[email protected] Abstract Zentrum fur¨ Molekularbiologie der Pflanzen, Auf der Morgenstelle 32, Background: Host and niche shifts are a source of genomic and phenotypic 72076 Tubingen,¨ Germany diversification as evidenced in parasitism. Exemplary is core metabolism reduction Full list of author information is as parasites adapt to a particular host, while the accessory genome often available at the end of the article maintains a high degree of diversification. However, selective pressures acting on the genome of organisms that have undergone lifestyle or host change have not been fully investigated. Results: Here, we developed a comparative genomics approach to study underlying adaptive trends in oomycetes, a eukaryotic phylum with a broad range of economically important plant and animal parasitic lifestyles. Our analysis reveals converging evolution on biological processes for oomycetes that have similar lifestyle. Besides, we find that certain functions, in particular carbohydrate metabolism, transport, and signaling, are important for host and environmental adaption in oomycetes. Discussion: Given the high correlation between lifestyle and genome properties in our oomycete dataset and the convergent evolution of fungal and oomycete genomes, we have developed a model that predicts plant pathogen lifestyles with high accuracy based on functional annotations.