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dc.contributor.authorGiannakis, Konstantinos
dc.contributor.authorArrowsmith, Samuel J.
dc.contributor.authorRichards, Luke
dc.contributor.authorGasparini, Sara
dc.contributor.authorChustecki, Joanna M.
dc.contributor.authorRøyrvik, Ellen Christine
dc.contributor.authorJohnston, Iain
dc.date.accessioned2023-01-24T09:08:34Z
dc.date.available2023-01-24T09:08:34Z
dc.date.created2022-12-05T09:13:51Z
dc.date.issued2022
dc.identifier.issn2405-4712
dc.identifier.urihttps://hdl.handle.net/11250/3045694
dc.description.abstractMitochondria and plastids power complex life. Why some genes and not others are retained in their organelle DNA (oDNA) genomes remains a debated question. Here, we attempt to identify the properties of genes and associated underlying mechanisms that determine oDNA retention. We harness over 15k oDNA sequences and over 300 whole genome sequences across eukaryotes with tools from structural biology, bioinformatics, machine learning, and Bayesian model selection. Previously hypothesized features, including the hydrophobicity of a protein product, and less well-known features, including binding energy centrality within a protein complex, predict oDNA retention across eukaryotes, with additional influences of nucleic acid and amino acid biochemistry. Notably, the same features predict retention in both organelles, and retention models learned from one organelle type quantitatively predict retention in the other, supporting the universality of these features—which also distinguish gene profiles in more recent, independent endosymbiotic relationships. A record of this paper’s transparent peer review process is included in the supplemental information.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEvolutionary inference across eukaryotes identifies universal features shaping organelle gene retentionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1016/j.cels.2022.08.007
dc.identifier.cristin2088436
dc.source.journalCell Systemsen_US
dc.source.pagenumber874-884en_US
dc.identifier.citationCell Systems. 2022, 13 (11), 874-884.en_US
dc.source.volume13en_US
dc.source.issue11en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal