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Mapping mitonuclear epistasis using a novel recombinant yeast population

Genetic variation in mitochondrial and nuclear genomes can perturb mitonuclear interactions and lead to phenotypic differences between individuals and populations. Despite their importance to most complex traits, it has been difficult to identify the interacting mitonuclear loci. Here, we present a...

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Autores principales: Nguyen, Tuc H. M., Tinz-Burdick, Austen, Lenhardt, Meghan, Geertz, Margaret, Ramirez, Franchesca, Schwartz, Mark, Toledano, Michael, Bonney, Brooke, Gaebler, Benjamin, Liu, Weiwei, Wolters, John F., Chiu, Kenneth, Fiumera, Anthony C., Fiumera, Heather L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085025/
https://www.ncbi.nlm.nih.gov/pubmed/36989278
http://dx.doi.org/10.1371/journal.pgen.1010401
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author Nguyen, Tuc H. M.
Tinz-Burdick, Austen
Lenhardt, Meghan
Geertz, Margaret
Ramirez, Franchesca
Schwartz, Mark
Toledano, Michael
Bonney, Brooke
Gaebler, Benjamin
Liu, Weiwei
Wolters, John F.
Chiu, Kenneth
Fiumera, Anthony C.
Fiumera, Heather L.
author_facet Nguyen, Tuc H. M.
Tinz-Burdick, Austen
Lenhardt, Meghan
Geertz, Margaret
Ramirez, Franchesca
Schwartz, Mark
Toledano, Michael
Bonney, Brooke
Gaebler, Benjamin
Liu, Weiwei
Wolters, John F.
Chiu, Kenneth
Fiumera, Anthony C.
Fiumera, Heather L.
author_sort Nguyen, Tuc H. M.
collection PubMed
description Genetic variation in mitochondrial and nuclear genomes can perturb mitonuclear interactions and lead to phenotypic differences between individuals and populations. Despite their importance to most complex traits, it has been difficult to identify the interacting mitonuclear loci. Here, we present a novel advanced intercrossed population of Saccharomyces cerevisiae yeasts, called the Mitonuclear Recombinant Collection (MNRC), designed explicitly for detecting mitonuclear loci contributing to complex traits. For validation, we focused on mapping genes that contribute to the spontaneous loss of mitochondrial DNA (mtDNA) that leads to the petite phenotype in yeast. We found that rates of petite formation in natural populations are variable and influenced by genetic variation in nuclear DNA, mtDNA and mitonuclear interactions. We mapped nuclear and mitonuclear alleles contributing to mtDNA stability using the MNRC by integrating a term for mitonuclear epistasis into a genome-wide association model. We found that the associated mitonuclear loci play roles in mitotic growth most likely responding to retrograde signals from mitochondria, while the associated nuclear loci with main effects are involved in genome replication. We observed a positive correlation between growth rates and petite frequencies, suggesting a fitness tradeoff between mitotic growth and mtDNA stability. We also found that mtDNA stability was correlated with a mobile mitochondrial GC-cluster that is present in certain populations of yeast and that selection for nuclear alleles that stabilize mtDNA may be rapidly occurring. The MNRC provides a powerful tool for identifying mitonuclear interacting loci that will help us to better understand genotype-phenotype relationships and coevolutionary trajectories.
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spelling pubmed-100850252023-04-11 Mapping mitonuclear epistasis using a novel recombinant yeast population Nguyen, Tuc H. M. Tinz-Burdick, Austen Lenhardt, Meghan Geertz, Margaret Ramirez, Franchesca Schwartz, Mark Toledano, Michael Bonney, Brooke Gaebler, Benjamin Liu, Weiwei Wolters, John F. Chiu, Kenneth Fiumera, Anthony C. Fiumera, Heather L. PLoS Genet Research Article Genetic variation in mitochondrial and nuclear genomes can perturb mitonuclear interactions and lead to phenotypic differences between individuals and populations. Despite their importance to most complex traits, it has been difficult to identify the interacting mitonuclear loci. Here, we present a novel advanced intercrossed population of Saccharomyces cerevisiae yeasts, called the Mitonuclear Recombinant Collection (MNRC), designed explicitly for detecting mitonuclear loci contributing to complex traits. For validation, we focused on mapping genes that contribute to the spontaneous loss of mitochondrial DNA (mtDNA) that leads to the petite phenotype in yeast. We found that rates of petite formation in natural populations are variable and influenced by genetic variation in nuclear DNA, mtDNA and mitonuclear interactions. We mapped nuclear and mitonuclear alleles contributing to mtDNA stability using the MNRC by integrating a term for mitonuclear epistasis into a genome-wide association model. We found that the associated mitonuclear loci play roles in mitotic growth most likely responding to retrograde signals from mitochondria, while the associated nuclear loci with main effects are involved in genome replication. We observed a positive correlation between growth rates and petite frequencies, suggesting a fitness tradeoff between mitotic growth and mtDNA stability. We also found that mtDNA stability was correlated with a mobile mitochondrial GC-cluster that is present in certain populations of yeast and that selection for nuclear alleles that stabilize mtDNA may be rapidly occurring. The MNRC provides a powerful tool for identifying mitonuclear interacting loci that will help us to better understand genotype-phenotype relationships and coevolutionary trajectories. Public Library of Science 2023-03-29 /pmc/articles/PMC10085025/ /pubmed/36989278 http://dx.doi.org/10.1371/journal.pgen.1010401 Text en © 2023 Nguyen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nguyen, Tuc H. M.
Tinz-Burdick, Austen
Lenhardt, Meghan
Geertz, Margaret
Ramirez, Franchesca
Schwartz, Mark
Toledano, Michael
Bonney, Brooke
Gaebler, Benjamin
Liu, Weiwei
Wolters, John F.
Chiu, Kenneth
Fiumera, Anthony C.
Fiumera, Heather L.
Mapping mitonuclear epistasis using a novel recombinant yeast population
title Mapping mitonuclear epistasis using a novel recombinant yeast population
title_full Mapping mitonuclear epistasis using a novel recombinant yeast population
title_fullStr Mapping mitonuclear epistasis using a novel recombinant yeast population
title_full_unstemmed Mapping mitonuclear epistasis using a novel recombinant yeast population
title_short Mapping mitonuclear epistasis using a novel recombinant yeast population
title_sort mapping mitonuclear epistasis using a novel recombinant yeast population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085025/
https://www.ncbi.nlm.nih.gov/pubmed/36989278
http://dx.doi.org/10.1371/journal.pgen.1010401
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