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https://hdl.handle.net/1959.11/18266
Title: | Selection against Heteroplasmy Explains the Evolution of Uniparental Inheritance of Mitochondria | Contributor(s): | Christie, Joshua R (author); Schaerf, Timothy (author) ; Beekman, Madeleine (author) | Publication Date: | 2015 | Open Access: | Yes | DOI: | 10.1371/journal.pgen.1005112 | Handle Link: | https://hdl.handle.net/1959.11/18266 | Abstract: | Why are mitochondria almost always inherited from one parent during sexual reproduction? Current explanations for this evolutionary mystery include conflict avoidance between the nuclear and mitochondrial genomes, clearing of deleterious mutations, and optimization of mitochondrial-nuclear coadaptation. Mathematical models, however, fail to show that uniparental inheritance can replace biparental inheritance under any existing hypothesis. Recent empirical evidence indicates that mixing two different but normal mitochondrial haplotypes within a cell (heteroplasmy) can cause cell and organism dysfunction. Using a mathematical model, we test if selection against heteroplasmy can lead to the evolution of uniparental inheritance. When we assume selection against heteroplasmy and mutations are neither advantageous nor deleterious (neutral mutations), uniparental inheritance replaces biparental inheritance for all tested parameter values. When heteroplasmy involves mutations that are advantageous or deleterious (non-neutral mutations), uniparental inheritance can still replace biparental inheritance. We show that uniparental inheritance can evolve with or without pre-existing mating types. Finally, we show that selection against heteroplasmy can explain why some organisms deviate from strict uniparental inheritance. Thus, we suggest that selection against heteroplasmy explains the evolution of uniparental inheritance. | Publication Type: | Journal Article | Grant Details: | ARC/DP140100560 | Source of Publication: | PLoS Genetics, 11(4), p. 1-30 | Publisher: | Public Library of Science | Place of Publication: | United States of America | ISSN: | 1553-7404 1553-7390 |
Fields of Research (FoR) 2008: | 010202 Biological Mathematics 060411 Population, Ecological and Evolutionary Genetics |
Fields of Research (FoR) 2020: | 490102 Biological mathematics | Socio-Economic Objective (SEO) 2008: | 970106 Expanding Knowledge in the Biological Sciences 970101 Expanding Knowledge in the Mathematical Sciences |
Socio-Economic Objective (SEO) 2020: | 280118 Expanding knowledge in the mathematical sciences 280102 Expanding knowledge in the biological sciences |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article |
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