Literature DB >> 29531011

Mitochondrial Recombination Reveals Mito-Mito Epistasis in Yeast.

John F Wolters1, Guillaume Charron2, Alec Gaspary1, Christian R Landry2,3, Anthony C Fiumera1, Heather L Fiumera4.   

Abstract

Genetic variation in mitochondrial DNA (mtDNA) provides adaptive potential although the underlying genetic architecture of fitness components within mtDNAs is not known. To dissect functional variation within mtDNAs, we first identified naturally occurring mtDNAs that conferred high or low fitness in Saccharomyces cerevisiae by comparing growth in strains containing identical nuclear genotypes but different mtDNAs. During respiratory growth under temperature and oxidative stress conditions, mitotype effects were largely independent of nuclear genotypes even in the presence of mito-nuclear interactions. Recombinant mtDNAs were generated to determine fitness components within high- and low-fitness mtDNAs. Based on phenotypic distributions of isogenic strains containing recombinant mtDNAs, we found that multiple loci contributed to mitotype fitness differences. These mitochondrial loci interacted in epistatic, nonadditive ways in certain environmental conditions. Mito-mito epistasis (i.e., nonadditive interactions between mitochondrial loci) influenced fitness in progeny from four different crosses, suggesting that mito-mito epistasis is a widespread phenomenon in yeast and other systems with recombining mtDNAs. Furthermore, we found that interruption of coadapted mito-mito interactions produced recombinant mtDNAs with lower fitness. Our results demonstrate that mito-mito epistasis results in functional variation through mitochondrial recombination in fungi, providing modes for adaptive evolution and the generation of mito-mito incompatibilities.
Copyright © 2018 by the Genetics Society of America.

Entities:  

Keywords:  Saccharomyces yeast; genetic interactions; mitochondrial recombination; mito–mito epistasis; mtDNA

Mesh:

Substances:

Year:  2018        PMID: 29531011      PMCID: PMC5937185          DOI: 10.1534/genetics.117.300660

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


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