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Iverson ENK. Conservation Mitonuclear Replacement: Facilitated mitochondrial adaptation for a changing world. Evol Appl 2024; 17:e13642. [PMID: 38468713 PMCID: PMC10925831 DOI: 10.1111/eva.13642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/29/2023] [Accepted: 01/03/2024] [Indexed: 03/13/2024] Open
Abstract
Most species will not be able to migrate fast enough to cope with climate change, nor evolve quickly enough with current levels of genetic variation. Exacerbating the problem are anthropogenic influences on adaptive potential, including the prevention of gene flow through habitat fragmentation and the erosion of genetic diversity in small, bottlenecked populations. Facilitated adaptation, or assisted evolution, offers a way to augment adaptive genetic variation via artificial selection, induced hybridization, or genetic engineering. One key source of genetic variation, particularly for climatic adaptation, are the core metabolic genes encoded by the mitochondrial genome. These genes influence environmental tolerance to heat, drought, and hypoxia, but must interact intimately and co-evolve with a suite of important nuclear genes. These coadapted mitonuclear genes form some of the important reproductive barriers between species. Mitochondrial genomes can and do introgress between species in an adaptive manner, and they may co-introgress with nuclear genes important for maintaining mitonuclear compatibility. Managers should consider the relevance of mitonuclear genetic variability in conservation decision-making, including as a tool for facilitating adaptation. I propose a novel technique dubbed Conservation Mitonuclear Replacement (CmNR), which entails replacing the core metabolic machinery of a threatened species-the mitochondrial genome and key nuclear loci-with those from a closely related species or a divergent population, which may be better-adapted to climatic changes or carry a lower genetic load. The most feasible route to CmNR is to combine CRISPR-based nuclear genetic editing with mitochondrial replacement and assisted reproductive technologies. This method preserves much of an organism's phenotype and could allow populations to persist in the wild when no other suitable conservation options exist. The technique could be particularly important on mountaintops, where rising temperatures threaten an alarming number of species with almost certain extinction in the next century.
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Affiliation(s)
- Erik N. K. Iverson
- Department of Integrative BiologyThe University of Texas at AustinAustinTexasUSA
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Brand JA, Garcia-Gonzalez F, Dowling DK, Wong BBM. Mitochondrial genetic variation as a potential mediator of intraspecific behavioural diversity. Trends Ecol Evol 2024; 39:199-212. [PMID: 37839905 DOI: 10.1016/j.tree.2023.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 10/17/2023]
Abstract
Mitochondrial genes play an essential role in energy metabolism. Variation in the mitochondrial DNA (mtDNA) sequence often exists within species, and this variation can have consequences for energy production and organismal life history. Yet, despite potential links between energy metabolism and the expression of animal behaviour, mtDNA variation has been largely neglected to date in studies investigating intraspecific behavioural diversity. We outline how mtDNA variation and interactions between mitochondrial and nuclear genotypes may contribute to the expression of individual-to-individual behavioural differences within populations, and why such effects may lead to sex differences in behaviour. We contend that integration of the mitochondrial genome into behavioural ecology research may be key to fully understanding the evolutionary genetics of animal behaviour.
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Affiliation(s)
- Jack A Brand
- School of Biological Sciences, Monash University, Melbourne, VIC, Australia; Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.
| | - Francisco Garcia-Gonzalez
- Doñana Biological Station-CSIC, Seville, Spain; Centre for Evolutionary Biology, School of Biological Sciences, University of Western Australia, Crawley, Western Australia, Australia
| | - Damian K Dowling
- School of Biological Sciences, Monash University, Melbourne, VIC, Australia
| | - Bob B M Wong
- School of Biological Sciences, Monash University, Melbourne, VIC, Australia
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Healy TM, Burton RS. Genetic incompatibilities in reciprocal hybrids between populations of Tigriopus californicus with low to moderate mitochondrial sequence divergence. Evolution 2023; 77:2100-2108. [PMID: 37407024 DOI: 10.1093/evolut/qpad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 06/16/2023] [Accepted: 07/05/2023] [Indexed: 07/07/2023]
Abstract
All mitochondrial-encoded proteins and RNAs function through interactions with nuclear-encoded proteins, which are critical for mitochondrial performance and eukaryotic fitness. Coevolution maintains inter-genomic (i.e., mitonuclear) compatibility within a taxon, but hybridization can disrupt coevolved interactions, resulting in hybrid breakdown. Thus, mitonuclear incompatibilities may be important mechanisms underlying reproductive isolation and, potentially, speciation. Here we utilize Pool-seq to assess the effects of mitochondrial genotype on nuclear allele frequencies in fast- and slow-developing reciprocal inter-population F2 hybrids between relatively low-divergence populations of the intertidal copepod Tigriopus californicus. We show that mitonuclear interactions lead to elevated frequencies of coevolved (i.e., maternal) nuclear alleles on two chromosomes in crosses between populations with 1.5% or 9.6% fixed differences in mitochondrial DNA nucleotide sequence. However, we also find evidence of excess mismatched (i.e., noncoevolved) alleles on three or four chromosomes per cross, respectively, and of allele frequency differences consistent with effects involving only nuclear loci (i.e., unaffected by mitochondrial genotype). Thus, our results for low-divergence crosses suggest an underlying role for mitonuclear interactions in variation in hybrid developmental rate, but despite substantial effects of mitonuclear coevolution on individual chromosomes, no clear bias favoring coevolved interactions overall.
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Affiliation(s)
- Timothy M Healy
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, CA, United States
| | - Ronald S Burton
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, CA, United States
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Nguyen THM, Tinz-Burdick A, Lenhardt M, Geertz M, Ramirez F, Schwartz M, Toledano M, Bonney B, Gaebler B, Liu W, Wolters JF, Chiu K, Fiumera AC, Fiumera HL. Mapping mitonuclear epistasis using a novel recombinant yeast population. PLoS Genet 2023; 19:e1010401. [PMID: 36989278 PMCID: PMC10085025 DOI: 10.1371/journal.pgen.1010401] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 04/10/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
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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Affiliation(s)
- Tuc H M Nguyen
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
- Department of Biological Sciences, New York University, New York, New York, United States of America
| | - Austen Tinz-Burdick
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Meghan Lenhardt
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Margaret Geertz
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Franchesca Ramirez
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Mark Schwartz
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Michael Toledano
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Brooke Bonney
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Benjamin Gaebler
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Weiwei Liu
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - John F Wolters
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Kenneth Chiu
- Department of Computer Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Anthony C Fiumera
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
| | - Heather L Fiumera
- Department of Biological Sciences, Binghamton University, Binghamton, New York, United States of America
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