Mitochondrial DNA Fitness Depends on Nuclear Genetic Background in Drosophila
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Updated: Jan 29, 2026

In Situ Labeling of Mitochondrial DNA Replication in Drosophila Adult Ovaries by EdU Staining
Published on: October 15, 2016
Jim A Mossman1, Jennifer Y Ge2,3,4,5, Freddy Navarro2
1Department of Ecology and Evolutionary Biology, 80 Waterman Street, Box G, Brown University, Providence, Rhode Island 02912 jim_mossman@brown.edu David_Rand@Brown.edu.
Abstract:
Mitochondrial DNA (mtDNA) has been one of the most extensively studied molecules in ecological, evolutionary and clinical genetics. In its early application in evolutionary genetics, mtDNA was assumed to be a selectively neutral marker conferring negligible fitness consequences for its host. However, this dogma has been overturned in recent years due to now extensive evidence for non-neutral evolutionary dynamics. Since mtDNA proteins physically interact with nuclear proteins to provide the mitochondrial machinery for aerobic ATP production, among other cell functions, co-variation of the respective genes is predicted to affect organismal fitness. To test this hypothesis we used an mtDNA-nuclear DNA introgression model in Drosophila melanogaster to test the fitness of genotypes in perturbation-reperturbation population cages and in a non-competitive assay for female fecundity. Genotypes consisted of both conspecific and heterospecific mtDNA-nDNA constructs, with either D. melanogaster or D. simulans mtDNAs on two alternative D. melanogaster nuclear backgrounds, to investigate mitonuclear genetic interactions (G x G effects). We found considerable variation between nuclear genetic backgrounds on the selection of mtDNA haplotypes. In addition, there was variation in the selection on mtDNAs pre- and post- reperturbation, demonstrating overall poor repeatability of selection. There was a strong influence of nuclear background on non-competitive fecundity across all the mtDNA species types. In only one of the four cage types did we see a significant fecundity effect between genotypes that could help explain the respective change in genotype frequency over generational time. We discuss these results in the context of G x G interactions and the possible influence of stochastic environments on mtDNA-nDNA selection.
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