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.

Details

Title
Multiple distinct evolutionary mechanisms govern the dynamics of selfish mitochondrial genomes in Caenorhabditis elegans
Author
Gitschlag, Bryan L. 1   VIAFID ORCID Logo  ; Pereira, Claudia V. 2 ; Held, James P. 2   VIAFID ORCID Logo  ; McCandlish, David M. 3   VIAFID ORCID Logo  ; Patel, Maulik R. 4   VIAFID ORCID Logo 

 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) 
 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) 
 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) 
Pages
8237
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3106868727
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.