It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Cells possess multiple mitochondrial DNA (mtDNA) copies, which undergo semi-autonomous replication and stochastic inheritance. This enables mutant mtDNA variants to arise and selfishly compete with cooperative (wildtype) mtDNA. Selfish mitochondrial genomes are subject to selection at different levels: they compete against wildtype mtDNA directly within hosts and indirectly through organism-level selection. However, determining the relative contributions of selection at different levels has proven challenging. We overcome this challenge by combining mathematical modeling with experiments designed to isolate the levels of selection. Applying this approach to many selfish mitochondrial genotypes in Caenorhabditis elegans reveals an unexpected diversity of evolutionary mechanisms. Some mutant genomes persist at high frequency for many generations, despite a host fitness cost, by aggressively outcompeting cooperative genomes within hosts. Conversely, some mutant genomes persist by evading inter-organismal selection. Strikingly, the mutant genomes vary dramatically in their susceptibility to genetic drift. Although different mechanisms can cause high frequency of selfish mtDNA, we show how they give rise to characteristically different distributions of mutant frequency among individuals. Given that heteroplasmic frequency represents a key determinant of phenotypic severity, this work outlines an evolutionary theoretic framework for predicting the distribution of phenotypic consequences among individuals carrying a selfish mitochondrial genome.
Selfish mitochondrial genomes undergo selection at different levels, within and between hosts. Here, the authors combine mathematical modeling and empirical experimentation to determine the strength of selection at these different levels and to predict selfish mtDNA frequency in C. elegans.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 Vanderbilt University, Department of Biological Sciences, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, USA (GRID:grid.225279.9) (ISNI:0000 0001 1088 1567)
2 Vanderbilt University, Department of Biological Sciences, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217)
3 Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, USA (GRID:grid.225279.9) (ISNI:0000 0001 1088 1567)
4 Vanderbilt University, Department of Biological Sciences, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University School of Medicine, Department of Cell and Developmental Biology, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); Vanderbilt University School of Medicine, Diabetes Research and Training Center, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217); VU Box #34-1634, Evolutionary Studies, Vanderbilt University, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217)