Skip to main content
Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2022 Jan 26;289(1967):20212561. doi: 10.1098/rspb.2021.2561

Migration restores hybrid incompatibility driven by mitochondrial–nuclear sexual conflict

Manisha Munasinghe 1, Benjamin C Haller 1, Andrew G Clark 1,2,
PMCID: PMC8790342  PMID: 35078356

Abstract

In the mitochondrial genome, sexual asymmetry in transmission allows the accumulation of male-harming mutations since selection acts only on the effect of the mutation in females. Called the ‘Mother's Curse’, this phenomenon induces a selective pressure for nuclear variants that compensate for this reduction in male fitness. Previous work has demonstrated the existence of these interactions and their potential to act as Dobzhansky–Muller incompatibilities, contributing to reproductive isolation between populations. However, it is not clear how readily they would give rise to and sustain hybrid incompatibilities. Here, we use computer simulations in SLiM 3 to investigate the consequences of sexually antagonistic mitochondrial–nuclear interactions in a subdivided population. We consider distinct migration schemes and vary the chromosomal location, and consequently the transmission pattern, of nuclear restorers. Disrupting these co-evolved interactions results in less-fit males, skewing the sex ratio toward females. Restoration of male fitness depends on both the chromosomal location of nuclear restorer loci and the migration scheme. Our results show that these interactions may act as Dobzhansky–Muller incompatibilities, but their strength is not enough to drive population isolation. Overall, this model shows the varied ways in which populations can respond to migration's disruption of co-evolved mitochondrial–nuclear interactions.

Keywords: mitochondrial–nuclear interactions, sexual antagonism, uniparental inheritance, Mother's Curse, reproductive isolation

1. Introduction

A fundamental question in evolutionary genetics, and biology more broadly, is how new species form and remain distinct [1,2]. Dobzhansky [3] and Mayr [4] argued that speciation hinges on the evolution of reproductive isolation, which limits gene flow between populations thereby advancing the process of speciation. The ‘biological species concept’ formalized this idea and explicitly defined species as groups of interbreeding natural populations that are substantially reproductively isolated from other groups [2,4]. Reproductive isolation develops as isolating barriers accumulate, which prevent members of different populations from mating or forming zygotes (prezygotic), or which act after fertilization if hybrids are incompatible (postzygotic) [5,6]. Understanding the genetic basis of hybrid incompatibility (which encompasses hybrid inviability, sterility or reduced fitness compared to the parental populations) consequently allows us to better understand the mechanics of speciation [2].

Bateson [7], Dobzhansky [8] and Muller [911] first detailed how hybrid incompatibility could emerge between two allopatric populations. Populations acquire unique mutations while geographically separated, which may confer an adaptive advantage in their local environment, or may be neutral. When populations reunite and hybridize, evolutionarily untested interactions between these newly acquired mutations are exposed and may result in reduced hybrid fitness. Several empirical examples show that negative epistatic interactions, dubbed Dobzhansky–Muller incompatibilities, can generate hybrid incompatibility and thereby contribute to reproductive isolation [1214]. Consequently, there is continued interest in predicting which specific genetic interactions are likely to generate Dobzhansky–Muller incompatibilities to aid in their identification.

The unique function and transmission of mitochondrial DNA make mitochondrial–nuclear interactions promising candidates for Dobzhansky–Muller incompatibilities [1517]. The mitochondrial genome encodes the ribosomal and transfer RNA components of the mitochondrial translation system, as well as 13 protein subunits that play an essential role in the electron transport chain and ATP synthase [18]. Approximately 1500 nuclear genes produce proteins that interact with the mitochondrial genome to ensure proper energy production [1821]. Coordination between these genomes is essential, as improper mitochondrial function is associated with various pathological phenotypes [2224]. Coadaptation between these two genomes is already thought to contribute to speciation, since nuclear genes evolve to compensate for the elevated deleterious load in the mitochondrial genome resulting from Muller's Ratchet [2527].

Different inheritance modes between the mitochondrial genome and the nuclear genome, however, naturally beget intergenomic conflict. Exclusively maternal transmission of mtDNA means only selection in females is effective. Consequently, sex-specific or sexually antagonistic mutations that are neutral or advantageous in females but deleterious in males can easily spread through populations [2833]. Coined the ‘Mother's Curse’ by Gemmell et al., these male-harming mitochondrial mutations have been studied most in plants, where they prevent pollen production in otherwise hermaphroditic species [28,3437]. The accumulation of male-harming mutations places selective pressure on the nuclear genome to evolve variants that restore male fitness, termed ‘restorers', at least partially counteracting the cost of these Mother's Curse variants. The rapid generation and fixation of such nuclear restorer mutations has been thoroughly documented in plants [3840].

The ultimate dynamics of these interactions depend on the chromosomal location of a nuclear restorer. In an XY sex-determining system with an equal sex ratio, autosomes spend equal time in both sexes, the X spends two-thirds of its time in females, and the Y spends all its time in males. This difference influences several evolutionary processes. The mutation rate of a genetic element is generally higher the more time it spends in males [4143], and the effective population sizes of the X and Y are reduced compared to autosomes (to three-fourths and one-fourth, respectively), magnifying the effects of drift [44,45]. Hemizygosity of sex chromosomes in males dramatically impacts the effect of selection on allele frequency dynamics. Finally, sexual antagonism can select for specific chromosomal locations to minimize the deleterious cost of specific variants in one sex by minimizing the time spent in that sex [46,47]. A male-advantageous, female-harming mutation, for example, would experience some level of negative selection if present on an autosome or X chromosome but would escape this if Y-linked. Similarly, a mutation that is male-advantageous, female-neutral should evolve most rapidly on chromosomes that spend more time in males. Ultimately, the selective effect of a mutation and the amount of time it spends in each sex (which is determined by its chromosomal location) will determine its evolutionary trajectory.

Exploration into the chromosomal placement of nuclear genes that interact with the mitochondrial genome reveals a complex landscape. Adaptive interactions in both sexes should result in movement of the associated nuclear gene onto the X, while those that work to mitigate sexual conflict, such as those involved with mitochondrial Mother's Curse variants, will likely move off the X [48]. Despite the gene-poor nature of the Y, strict paternal transmission of the Y should favour the accumulation of male-beneficial mutations, such as nuclear restorers of Mother's Curse variants [49]. Theoretical comparisons between autosomes, X and Y suggest that nuclear restorers on the Y most rapidly spread and fix within a single population, too [50]. The length of heterochromatin blocks on the Y may act as a sink for transcription factors or chromatin regulators, affecting the distribution of these elements in the rest of the genome [51,52]. The demonstrated regulatory role of the Y may act to offset the costs of Mother's Curse variants, as genes exhibiting sex-specific sensitivity to mtDNA are overrepresented among genes sensitive to Y-chromosomal variation [53,54].

Direct identification of Mother's Curse nuclear restorers, which would provide insight into their chromosomal placement, has been limited, due in part by the experimental difficulty of identifying these interactions. Empirical studies that attempt this often use hybrid lines to disrupt co-evolved mito-nuclear interactions and evaluate differences in male and female hybrid fitness. This approach, while effective, is laborious and may capture only a few of these interactions, which are often sensitive to environmental conditions and so may evade detection [37,5557]. Nevertheless, these studies do highlight the potential of mito-nuclear interactions as Dobzhansky–Muller incompatibilities. The contribution of Mother's Curse variants towards Haldane's rule, the observation that the fitness of heterogametic hybrids is typically lower than homogametic hybrids, is often overlooked. In sum, the interaction between Mother's Curse variants and nuclear restorers in XY systems could influence the early stages of speciation, but theoretical work on how these interactions evolve has mostly focused on their evolution within a single population [5863].

Here, we construct a theoretical framework for exploring the disruption of co-evolved mito-nuclear interactions in multiple populations, and observe the resulting dynamics in simulations. We limit ourselves to two allopatric populations of equal size, each fixed for a unique set of mitochondrial Mother's Curse variants and their corresponding nuclear restorers. A given simulation considers one of three chromosomal locations for these nuclear restorers: autosomal, X-linked or Y-linked. At the beginning of each simulation, we select one of four migration schemes (detailed below). This design allows us to monitor hybrid fitness as migration creates gene flow between the populations and to assess whether mitochondrial–nuclear interactions can act to keep populations isolated—a key step in the speciation process.

2. Material and methods

(a) . Model design

Our model represents two allopatric populations that have independently evolved unique mito-nuclear interactions that are disrupted by gene flow between them. We consider two diploid, dioecious sexual populations that are initially geographically isolated. We define two classes of genomic elements: mitochondrial and nuclear. The mitochondrial genome is exclusively maternally inherited and homoplasmic, allowing us to treat it as haploid. Nuclear genomic elements may represent either an autosome, X or Y, with their associated transmission patterns and ploidy. We model biallelic mitochondrial Mother's Curse variants, where the wild-type variant is neutral in both sexes and the mutant is advantageous in females but deleterious in males. For each mitochondrial Mother's Curse locus, there is a corresponding biallelic restorer locus in the nuclear genome that fully restores fitness of males carrying that mutant Mother's Curse variant without impacting female fitness. Table 1 shows the possible genotypes and fitnesses for one interaction. We calculated each individual's final fitness multiplicatively across all interactions.

Table 1.

Genotypes and fitnesses of males and females for a single interaction (1 mtDNA Mother's Curse locus: 1 nuclear restorer locus) depends on nuclear restorer chromosomal location. M/A/X/Y and m/a/x/y represent the wild-type and mutant Mother's Curse and restorer alleles, respectively. sf represents the advantage given to females by the Mother's Curse variant, while sm represents the cost of this variant in males. We assume incomplete dominance (d = 0.5) for autosomal nuclear restorers.

nuclear restorer location females
males
genotype fitness genotype fitness
autosome M-AA 1 M-AA 1
M-Aa 1 M-Aa 1
M-aa 1 M-aa 1
m-AA 1 + sf m-AA 1 − sm
m-Aa 1 + sf m-Aa 1 − sm
m-aa 1 + sf m-aa 1
X M-XX 1 M-XX 1
M-Xx 1 M-xY 1
M-xx 1 m-XY 1 − sm
m-XX 1 + sf m-xY 1
m-Xx 1 + sf
m-xx 1 + sf
Y M-XX 1 M-XY 1
m-XX 1 + sf M-Xy 1
m-XY 1 − sm
m-Xy 1

Each population starts with a fixed set of 20 mitochondrial Mother's Curse variants and 20 corresponding fixed nuclear restorers. These sets are disjoint, such that we track 40 loci in each of the mitochondrial and nuclear genomic elements, for a total of 80 loci across both populations. We chose to model 20 Mother's Curse variants and nuclear restorers because there are no strong a priori expectations about their number, and because this allowed us to explore many interactions without excessively long simulation runtimes. For simplicity, we do not model new mutations at any point. We allow recombination for autosomal and X-linked nuclear restorers, and assume these restorers are unlinked (r = 0.5). Since recombination does not occur within the mitochondrial genome or the Y, we assume no recombination in those genomic elements (r = 0.0). We then allow migration to disrupt these co-evolved interactions between mitochondrial Mother's Curse and nuclear restorer variants, using four different migration schemes: continuous symmetric migration, one generation of symmetric migration, continuous asymmetric migration and continuous sex-specific migration (electronic supplementary material, figure S1b). We track the frequency of both native and foreign mutations over time to compare the degree of isolation between populations, defined in terms of the frequency of variants in both populations. We expect variants to be fixed in their population of origin and absent in the other under full isolation or found at comparable frequencies between the two populations if there is sufficient gene flow.

(b) . SLiM model implementation

For these simulations, we use SLiM (v. 3.3), a powerful, flexible genetic simulation framework capable of incorporating these design elements [64]. We employ the nonWF model type in SLiM since it provides more direct control of model details, including the generation of offspring, migration and epistatic fitness calculations. There are two key aspects of nonWF models in SLiM we must stress: how fitness is evaluated, and how populations are regulated. Fitness, in nonWF SLiM models, influences survival, and, consequently, fitness represents absolute fitness. Table 1 details the fitness effect of one mito-nuclear interaction. The final fitness of an individual is calculated multiplicatively across all mutations possessed by an individual and represents the likelihood that any given individual will survive to maturity. We enforce discrete, non-overlapping generations by setting the fitness of non-newborns to 0, ensuring they do not survive. Sex ratio and population size in SLiM nonWF models are emergent, determined by the individuals born in each generation minus those that died due to selection. As a result, the sex ratio may fluctuate if fitness differs between the sexes. The populations can grow up to a specified carrying capacity, but stochastic fluctuations in both population size and sex ratio are expected. Ultimately, our simulations are designed to robustly represent the demography of natural populations. Full details of the SLiM model design can be found in electronic supplementary material, appendix S1. All scripts are on GitHub (https://github.com/mam737/mito_nuclear_SLiMulations).

3. Results

Each model starts with two allopatric populations that have evolved a unique and fixed set of mitochondrial Mother's Curse variants and nuclear restorers. We consider four distinct migration schemes (continuous symmetric migration, a single generation pulse of migration, continuous asymmetric migration and continuous sex-specific migration) and three chromosomal locations for nuclear restorers (autosomal, X-linked or Y-linked). For each scenario, we can track how migration between these populations impacts male fitness, the sex ratio and allele frequency trajectories over time. We discuss models with continuous symmetric migration and continuous asymmetric migration below, with discussion on the remaining two relegated to electronic supplementary material, appendices S2 and S3.

(a) . Continuous symmetric migration

When migration occurs, male fitness is reduced in both populations. The importance of this reduction is governed by the magnitude of the difference between the benefit of Mother's Curse variants in females and their cost in males (sf − |sm|). Disrupting these co-evolved interactions leads to less-fit males; as a result, more males than females die, skewing the sex ratio toward females. For autosomal and X-linked restorers, fitness recovery relies on the spread of both sets of nuclear restorers (NC1 and NC2). Recombination allows individuals to obtain restorers from both populations, protecting males from the deleterious effects of most or all Mother's Curse variants. As autosomal restorers spread, the fitness and sex ratio slowly recover to initial levels (figure 1a). X-linked restorers behave nearly identically to autosomal restorers (electronic supplementary material, figure S2).

Figure 1.

Figure 1.

Mean male fitness (green/upper) and sex ratio (blue/lower) trajectories for population 1 (left) and population 2 (right) under continuous symmetric migration at rate m = 0.1. Simulation results for (a) autosomal nuclear restorers and (b) Y-linked restorers. (Online version in colour.)

By contrast, Y-linked restorers are unable to recover male fitness. The absence of recombination on the Y makes it impossible for males to acquire both sets of nuclear restorers, and, consequently, hybrid males always suffer reduced fitness. However, it is worth noting that while Y-linked restorers suffer from a sustained reduction in male fitness, the size of this reduction is smaller in comparison with autosomal and X-linked restorers (figure 1b). This is likely because all Y restorers from one population segregate together (another consequence of no recombination in the Y); as a result, a male that carries the Y haplotype matching their mitochondrial haplotype will be fully restored, while one that carries the other will experience the full cumulative cost of the Mother's Curse variants.

We can assess the degree to which populations recover male fitness by examining the allele frequency trajectories of nuclear restorers for a specific sf and sm. We find that the frequency of autosomal restorers tends toward fixation in both populations (figure 2a; see electronic supplementary material, figure S3 for X-linked restorers). This aligns with both the restoration of male fitness and the return toward an equal sex ratio. The more deleterious the Mother's Curse variants, the stronger the selective pressure is to obtain both sets of nuclear restorers. As more nuclear restorers fix, the deleterious effect of the mitochondrial haplogroup is minimized. The selective pressure for the remaining nuclear restorers is reduced, and their trajectories are determined primarily by drift. Once both sets of nuclear restorers are fixed, there is no fitness difference between the two mitochondrial haplotypes, and their frequency trajectory is determined by genetic drift thenceforth.

Figure 2.

Figure 2.

Allele frequency trajectories for both sets of nuclear restorers, those that originated in population 1 (blue) and population 2 (magenta) in each population (left and right) under continuous symmetric migration rate m = 0.1, sf = 0.1 and sm = –0.1. Each line represents the trajectory of a specific restorer. The darker, bold line represents the mean across all trajectories. (a) Shows the trajectories for our model with autosomal restorers, while (b) shows the trajectories for our model with Y-linked restorers. (Online version in colour.)

With Y-linked restorers under the same conditions, we observe movement toward fixation of one Y haplotype and loss of the other; which haplotype is fixed versus lost seems to be initially stochastic, with positive feedback driving whichever haplotype initially increases in frequency toward fixation (figure 2b). There is no selection for either mitochondrial haplotype, since both haplotypes are equally fit in females. If one Y haplotype is lost from the population, male fitness for any individual carrying the associated mitochondrial haplogroup will always be reduced from that point on. Consequently, some males suffer reduced fitness depending on the frequency of the mitochondrial haplotypes. This explains why populations with autosomal or X-linked restorers show fitness recovery, while those with Y-linked restorers show significant variation in final fitness.

(b) . Continuous asymmetric migration

For populations undergoing continuous asymmetric migration, we note a distinct reduction in male fitness coupled with a skewed sex ratio as males die off, but the size and duration of this reduction depends on the migration rates between the two populations. For continuous asymmetric migration, we have two migration parameters, m1 and m2, where m1 determines the probability that an individual in population 1 will migrate into population 2, and m2 determines the reverse. We set m1m2 such that population 1 receives more migrants from population 2 than the reverse. When the migration rates are asymmetric, we find that the sink population experiences a much more severe reduction in male fitness and a larger sex ratio skew. A return to the initial male fitness and sex ratio always occurs faster under continuous symmetric migration in comparison to continuous symmetric migration (approx. 150 generations to approx. 500 generations, respectively) with the time to recovery shrinking as the difference in migration rates increases. This is driven by variation in how male fitness is restored. Under continuous symmetric migration, we see the spread of both sets of nuclear restorers. Under asymmetric migration, we instead see the domination of the MC2 and NR2 sets (initially associated with population 2). Both populations tend to rapidly fix for MC2 and NR2; however, occasionally the MC1 haplotype increases in frequency despite the asymmetric gene flow, which drives an increase in frequency of the NR1 set of restorers.

Continuous asymmetric migration with rates m1 = 0.01, m2 = 0.1 shows a smaller reduction in fitness and a shorter time to recovery than continuous symmetric migration with a rate of m = 0.1 (figure 3; see electronic supplementary material, figure S6 for X-linked restorers). This holds across all chromosomal locations for nuclear restorers. The allele frequency trajectories for both autosomal and Y-linked restorers show that population 1 becomes fixed for the mitochondrial haplotype (MC2) and nuclear restorers (NR2) present in population 2 (figure 4; see electronic supplementary material, figure S7 for X-linked restorers). Restoration relies on replacement due to the asymmetric gene flow, not on the spread of both sets of nuclear restorers, meaning there is little difference in the ability of autosomal, X-linked or Y-linked restorers to rescue male fitness. The speed with which replacement occurs depends on m2, with larger m2 rates showing a smaller reduction in male fitness and faster time to restoration. This occurs because a higher m2 expedites the replacement process; population replacement can occur more rapidly than recombination can merge the nuclear restorer sets. As noted earlier, the NR1 set of nuclear restorers is not always lost. The fate of the NR1 set of restorers depends on whether the MC1 haplotype is able to increase in frequency. This is somewhat rare, since the MC1 haplotype's frequency is also driven downward by the influx of migrants. Consequently, we more often see full population replacement, which may resemble older, simpler models of genetic drift under asymmetric gene flow.

Figure 3.

Figure 3.

Mean male fitness (green/upper) and sex ratio (blue/lower) trajectories for population 1 (left) and population 2 (right) under continuous asymmetric migration rate m1 = 0.01 and m2 = 0.1. Simulation results for (a) autosomal nuclear restorers and (b) nuclear restorers. (Online version in colour.)

Figure 4.

Figure 4.

Allele frequency trajectories for both sets of nuclear restorers, those that originated in population 1 (blue) and population 2 (magenta) in each population (left and right) under continuous asymmetric migration rate m1 = 0.01, m2 = 0.1, sf = 0.1 and sm = –0.1. Each line represents the trajectory of a specific restorer. The darker, bold line represents the mean across all trajectories. (a) Shows the trajectories for our model with autosomal restorers, while (b) shows the trajectories for our model with Y-linked restorers. (Online version in colour.)

4. Discussion

Our results provide novel insights into the consequences of disrupting co-evolved mitochondrial–nuclear interactions. Continuous migration leads to a marked reduction in male fitness which skews the sex ratio as males die off. Populations respond to this in one of two ways, depending on whether the migration is symmetric or asymmetric. Under symmetric migration, populations acquire both sets of nuclear restorers to shield males from the deleterious effects of both mitochondrial haplotypes. Populations with Y-linked restorers are incapable of doing this, and they continue to suffer from reduced male fitness assuming both mitochondrial haplotypes remain common. However, the magnitude of this effect is mitigated, since all nuclear restorers for a specific Y haplotype segregate together; this means that any male with the corresponding mitochondrial haplotype is fully restored. Under asymmetric migration, one population's genetic variation is usually replaced by the other due to gene flow, eliminating the potential for less-fit hybrid males. This occurs more rapidly than recombination and selection can merge the two sets of nuclear restorers, shortening the duration of reduced male fitness and the female-biased sex ratio in this scenario.

Under the parameters explored, we found little evidence that mito-nuclear interactions can lead to reproductive isolation. Disrupting these interactions generated less-fit male hybrids, implying that they do act as Dobzhansky–Muller incompatibilities, but this was not enough to keep populations isolated. Under continuous migration, populations responded to reduced male fitness either by incorporating all nuclear restorers through recombination, or by replacement after being swamped by gene flow. If we assumed that one mitochondrial haplogroup was more advantageous in females, the outcome would be analogous to population replacement since that haplotype would rapidly fix in both populations, consequently increasing the selective pressure for the associated set of nuclear restorers (electronic supplementary material, figures S12 and S13). However, even under an extremely deleterious effect in males, such as male infertility which is one of the most commonly observed Mother's Curse phenotypes, population isolation is not guaranteed as the spread of mitochondrial haplogroups is determined by their fitness effect in females (see electronic supplementary material, figures S14 and S15) [28,37,57,65].

Along with reduced male fitness, we see a distinct skew in the sex ratio as less-fit males are removed from the population. A 1 : 1 sex ratio is not a universal trait, even among dioecious species [66,67], but deviations from this have their own consequences: skewed sex ratios reduce the effective population size, which decreases the efficacy of selection [68]. This increases the rates of genetic drift and inbreeding, ultimately resulting in decreased genetic variability [69]. Over long periods of time, a significantly reduced number of males, as we observed in some of our simulations (up to 1 : 3 male : female), is likely to affect the genetic diversity of the Y even if nuclear restorers are autosomal or X-linked. Reduced male population sizes will affect the Y chromosome more strongly than autosomes or the X chromosome due to their exclusively male inheritance. The magnitude of the effect of reduced male population size on Y chromosome diversity is dependent on the initial population size. This may have large fitness consequences, since Y chromosomes influence a wide variety of traits [54,70].

Previous work has proposed the Y chromosome as a promising site for nuclear restorers of Mother's Curse variants [50,71,72]. Early empirical evidence by Innocenti et al. [73] and Rogell et al. [53] examined genes that are male-biased in their sensitivity to mitochondrial variation and found that these same genes are overrepresented on a list of genes known to be sensitive to Y regulation, which suggests interactions between these two elements may influence male fitness. However, we show that under continuous symmetric migration, Y-linked restorers are outperformed by their autosomal or X-linked counterparts; the lack of recombination on the Y hinders a population's ability to respond in the face of continual disruption of co-evolved mito-nuclear interactions. Parapatric populations with limited gene flow may regain fitness more rapidly with autosomal and X-linked restorers than with Y-linked restorers when contact with other populations leads to hybrid offspring. In a single population with no extrinsic gene flow, Y-linked nuclear restorers are the most effective since they spread throughout the population most rapidly [50]. However, our results show that this does not hold if there is gene flow between two populations each experiencing the Mother's Curse. Consequently, potential advantages of Y-linked restorers may only be realized in allopatric populations, for which there is little to no extrinsic gene flow.

Our theoretical framework and simulations explore the effects of migration and chromosomal location of nuclear restorers on mitochondrial–nuclear interactions. Among the many unexplored aspects of our model, several merit further research. We did not model the emergence of novel mitochondrial Mother's Curse variants and nuclear restorers, nor the consequences of linkage for autosomal and X-linked restorers—mostly due to our inability to find robust empirical estimates of the relevant parameters. We also assumed that both populations were initially fixed for these interactions, consistent with theory [50,7476], but the evolutionary dynamics of these mutations while they are still segregating may be of interest. We also did not explore the effects of genetic disequilibria between mitochondrial and nuclear genomic elements. It is well-established that several evolutionary forces, including genetic drift, epistatic selection and non-random mating, may cause cytonuclear linkage disequilibria (i.e. departures from random association between nuclear and cytoplasmic genotypes) [74,75,77]. Hybrid zones with directional and strong assortative mating will exacerbate cytonuclear disequilibria and epistatic interactions, like those we explored, and may further increase this non-random association between nuclear and cytoplasmic genotypes.

There are also facets of both Mother's Curse variants and nuclear restorers that may influence our results. Mitochondrial DNA copy number ranges from hundreds to thousands of copies per cell depending on the cell's energetic needs [78]. If these copies are identical, they are ‘homoplasmic’ and can be treated as a haploid element (which we assume). However, if there is variation among the mtDNA copies in a cell, which there often is, fitness is driven by more than the presence or absence of a specific variant; rather, the phenotype is determined by the proportion of mutant mtDNA [79]. We also assume exclusive maternal inheritance of the mitochondrial genome, since only a handful of examples exist of paternal mitochondrial inheritance (whether partial or full) [8082]. Paternal transmission would introduce purifying selection in males on the male-deleterious Mother's Curse mutations, but this is likely rare.

We also assume that a nuclear restorer is able to fully restore male fitness for its complementary mitochondrial Mother's Curse variant, and that restorer mismatch (i.e. a negative fitness interaction between a nuclear restorer and the wild-type mitochondrial variant) does not occur. It is likely that restorer mismatch does exist in natural populations (see [83] for details on the differential strength of two nuclear restorers in Brassica napus), and it is our belief that this would influence the dynamics of our model. Our model makes several assumptions about the evolution of mitochondrial–nuclear interactions and possible migration patterns. It is possible different assumptions could lead to population isolation (e.g. longer bursts but not continuous migration, non-disjoint sets of Mother's Curse variants and nuclear restorers, partial linkage of nuclear restorers, environmentally dependent fitness evaluations, etc.). Additionally, even Dobzhansky–Muller incompatibilities that cannot produce complete isolation on their own may be important for isolation and speciation when acting in conjunction with other isolating factors [2].

Mother's Curse variants demonstrably reduce the fitness of the heterogametic sex in XY sex-determining systems and the homogametic sex in ZW systems. Consequently, Mother's Curse variants could possibly contribute to evidence of Haldane's Rule in XY systems but not in ZW systems. Turelli & Moyle [84] modelled the evolution of reciprocal hybrid asymmetry and clearly demonstrated a potential role for mitochondrial–nuclear interactions in contributing to asymmetric postmating reproductive isolation [84]. However, we are unaware of any attempts to show an elevated presence of Haldane's Rule or asymmetric reproductive isolation in XY systems compared to ZW systems. Such an endeavour could provide further insight into the influence of mito-nuclear interactions on reproductive isolation and speciation.

Finally, it is worth noting that selection on mtDNA variants can be influenced by their effect in males when variation in male and female fitness are directly correlated. Both inbreeding and kin selection couple a male's fitness with that of his female relatives [62,63]. The ability to fertilize a female is a male phenotype that directly affects a female's reproductive success. If females mate with their male relatives, their reproductive success will be negatively impacted by the transmission of Mother's Curse variants, even if those variants do not directly impact females. The evolution of the mitochondrial genome can consequently be influenced by the selective effect of variants in males if the connection between male and female reproductive success is sufficiently strong. Positive correlations between male and female fitness may select against male-harming variants, while negative correlations may select for these variants [85]. The evolution of both Mother's Curse variants and nuclear restorers will be influenced by these phenomena and may impact our results when inbreeding, kin selection or mating that is dis(assortative) by mtDNA variants are present.

The model presented here provides novel insight into how populations respond to the disruption of co-evolved mitochondrial–nuclear interactions by migration, and it highlights the distinct forms this response takes depending on both the migration scheme and the chromosomal placement of nuclear restorers. Extensions of our model will provide additional insight into how asymmetrically inherited genomic elements can both cause and resolve genetic and sexual conflict.

Supplementary Material

Acknowledgements

We would like to thank Philipp Messer, Ian Vasconcellas Caldas, Mitchell Lokey and Tram Nguyen for their assistance in testing and troubleshooting our SLiM models. Thanks also to Elissa Cosgrove for her assistance with several computational tasks.

Data accessibility

The scripts for all simulations can be found on GitHub: https://github.com/mam737/mito_nuclear_SLiMulations.

Authors' contributions

M.M.: conceptualization, formal analysis, investigation, visualization, writing—original draft; B.C.H.: methodology, software, writing—review and editing; A.G.C.: conceptualization, funding acquisition, project administration, writing—review and editing. All authors gave final approval for publication and agreed to be held accountable for the work performed therein.

Competing interests

We declare we have no competing interests.

Funding

This work was funded in part by a gift from the Nancy and Peter Meinig Family Foundation to A.G.C.

References

  • 1.Mayr E. 1995. Species, classification, and evolution. In biodiversity and evolution, pp. 3-12. Tokyo, Japan: National Science Museum Foundation. [Google Scholar]
  • 2.Coyne J, Orr HA. 2004. Speciation. Sunderland, MA: Sinauer Associaties. [Google Scholar]
  • 3.Dobzhansky T. 1935. A critique of the species concept in biology. Philos. Sci. 2, 344-355. ( 10.1086/286379) [DOI] [Google Scholar]
  • 4.Mayr E. 1942. Systematics and the origin of species. New York, NY: Columbia University Press. [Google Scholar]
  • 5.Dobzhansky T. 1937. Genetic nature of species differences. Am. Nat. 71, 404-420. ( 10.1086/280726) [DOI] [Google Scholar]
  • 6.Dobzhansky T. 1951. Genetics and the origins of species, 3rd edn. New York, NY: Columbia University Press. [Google Scholar]
  • 7.Bateson W. 1909. Heredity and variation in modern lights. In Darwin and modern science, pp. 85-101. Cambridge, UK: Cambridge University Press. [Google Scholar]
  • 8.Dobzhansky T. 1934. Studies on hybrid sterility. Z. Für. Zellforsch. Mikrosk. Anat. 21, 169-223. ( 10.1007/BF00374056) [DOI] [Google Scholar]
  • 9.Muller HJ. 1939. Reversibility in evolution considered from the standpoint of genetics. Biol. Rev. 14, 261-280. ( 10.1111/j.1469-185X.1939.tb00934.x) [DOI] [Google Scholar]
  • 10.Muller HJ. 1940. Bearing of the Drosophila work on systematics. In The new systematics, pp. 185-268. Oxford, UK: Clarendon Press. [Google Scholar]
  • 11.Muller H. 1942. Isolating mechanisms, evolution, and temperature. Biol. Smposium. 6, 71-125. [Google Scholar]
  • 12.Sweigart AL, Fishman L, Willis JH. 2006. A simple genetic incompatibility causes hybrid male sterility in Mimulus. Genetics 172, 2465-2479. ( 10.1534/genetics.105.053686) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lowry DB, Modliszewski JL, Wright KM, Wu CA, Willis JH. 2008. The strength and genetic basis of reproductive isolating barriers in flowering plants. Phil. Trans. R. Soc. B 363, 3009-3021. ( 10.1098/rstb.2008.0064) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Presgraves DC. 2010. Darwin and the origin of interspecific genetic incompatibilities. Am. Nat. 176(Suppl. 1), S45-S60. ( 10.1086/657058) [DOI] [PubMed] [Google Scholar]
  • 15.Burton RS, Barreto FS. 2012. A disproportionate role for mtDNA in Dobzhansky–Muller incompatibilities? Mol. Ecol. 21, 4942-4957. ( 10.1111/mec.12006) [DOI] [PubMed] [Google Scholar]
  • 16.Jy C, Jy L. 2015. The Red Queen in mitochondria: cyto-nuclear co-evolution, hybrid breakdown and human disease. Front. Genet. 6, 187-187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Hénault M, Landry CR. 2017. When nuclear-encoded proteins and mitochondrial RNAs do not get along, species split apart. EMBO Rep. 18, 8-10. ( 10.15252/embr.201643645) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Calvo SE, Mootha VK. 2010. The mitochondrial proteome and human disease. Annu. Rev. Genom. Hum. Genet. 11, 25-44. ( 10.1146/annurev-genom-082509-141720) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Neupert W, Herrmann JM. 2007. Translocation of proteins into mitochondria. Annu. Rev. Biochem. 76, 723-749. ( 10.1146/annurev.biochem.76.052705.163409) [DOI] [PubMed] [Google Scholar]
  • 20.Gershoni M, Templeton AR, Mishmar D. 2009. Mitochondrial bioenergetics as a major motive force of speciation. Bioessays 31, 642-650. ( 10.1002/bies.200800139) [DOI] [PubMed] [Google Scholar]
  • 21.Schmidt O, Pfanner N, Meisinger C. 2010. Mitochondrial protein import: from proteomics to functional mechanisms. Nat. Rev. Mol. Cell Biol. 11, 655-667. ( 10.1038/nrm2959) [DOI] [PubMed] [Google Scholar]
  • 22.Duchen MR. 2004. Mitochondria in health and disease: perspectives on a new mitochondrial biology. Mol. Aspects Med. 25, 365-451. ( 10.1016/j.mam.2004.03.001) [DOI] [PubMed] [Google Scholar]
  • 23.Pieczenik SR, Neustadt J. 2007. Mitochondrial dysfunction and molecular pathways of disease. Exp. Mol. Pathol. 83, 84-92. ( 10.1016/j.yexmp.2006.09.008) [DOI] [PubMed] [Google Scholar]
  • 24.Gorman GS, et al. 2016. Mitochondrial diseases. Nat. Rev. Dis. Primer. 2, 1-22. ( 10.1038/nrdp.2016.80) [DOI] [PubMed] [Google Scholar]
  • 25.Muller HJ. 1964. The relation of recombination to mutational advance. Mutat. Res. Mol. Mech. Mutagen. 1, 2-9. ( 10.1016/0027-5107(64)90047-8) [DOI] [PubMed] [Google Scholar]
  • 26.Hill GE. 2016. Mitonuclear coevolution as the genesis of speciation and the mitochondrial DNA barcode gap. Ecol. Evol. 6, 5831-5842. ( 10.1002/ece3.2338) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hill GE. 2020. Mitonuclear compensatory coevolution. Trends Genet. 36, 403-414. ( 10.1016/j.tig.2020.03.002) [DOI] [PubMed] [Google Scholar]
  • 28.Lewis D. 1941. Male sterility in natural populations of hermaphrodite plants the equilibrium between females and hermaphrodites to be expected with different types of inheritance. New Phytol. 40, 56-63. ( 10.1111/j.1469-8137.1941.tb07028.x) [DOI] [Google Scholar]
  • 29.Charlesworth B, Charlesworth D. 1978. A model for the evolution of dioecy and gynodioecy. Am. Nat. 112, 975-997. ( 10.1086/283342) [DOI] [Google Scholar]
  • 30.Frank SA. 1989. The evolutionary dynamics of cytoplasmic male sterility. Am. Nat. 133, 345-376. ( 10.1086/284923) [DOI] [Google Scholar]
  • 31.Frank SA, Hurst LD. 1996. Mitochondria and male disease. Nature 383, 224-224. ( 10.1038/383224a0) [DOI] [PubMed] [Google Scholar]
  • 32.Gemmell NJ, Metcalf VJ, Allendorf FW. 2004. Mother's curse: the effect of mtDNA on individual fitness and population viability. Trends Ecol. Evol. 19, 238-244. ( 10.1016/j.tree.2004.02.002) [DOI] [PubMed] [Google Scholar]
  • 33.Vaught RC, Dowling DK. 2018. Maternal inheritance of mitochondria: implications for male fertility? Reprod. Camb. Engl. 155, R159-R168. [DOI] [PubMed] [Google Scholar]
  • 34.Kaul M. 1988. Male sterility in higher Plants. Berlin, Germany: Springer. [Google Scholar]
  • 35.Budar F, Pelletier G. 2001. Male sterility in plants: occurrence, determinism, significance and use. C. R. Acad. Sci. III 324, 543-550. [DOI] [PubMed] [Google Scholar]
  • 36.Budar F, Touzet P, De Paepe R. 2003. The nucleo-mitochondrial conflict in cytoplasmic male sterilities revisited. Genetica 117, 3-16. ( 10.1023/A:1022381016145) [DOI] [PubMed] [Google Scholar]
  • 37.Case AL, Finseth FR, Barr CM, Fishman L. 2016. Selfish evolution of cytonuclear hybrid incompatibility in Mimulus. Proc. R. Soc. B 283, 20161493. ( 10.1098/rspb.2016.1493) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Chase CD. 2007. Cytoplasmic male sterility: a window to the world of plant mitochondrial–nuclear interactions. Trends Genet. 23, 81-90. ( 10.1016/j.tig.2006.12.004) [DOI] [PubMed] [Google Scholar]
  • 39.Arakawa T, Kagami H, Katsuyama T, Kitazaki K, Kubo T. 2020. A lineage-specific paralog of Oma1 evolved into a gene family from which a suppressor of male sterility-inducing mitochondria emerged in plants. Genome Biol. Evol. 12, 2314-2327. ( 10.1093/gbe/evaa186) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Postel Z, Touzet P. 2020. Cytonuclear genetic incompatibilities in plant speciation. Plants 9. See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238192/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Malcom CM, Wyckoff GJ, Lahn BT. 2003. Genic mutation rates in mammals: local similarity, chromosomal heterogeneity, and X-versus-autosome disparity. Mol. Biol. Evol. 20, 1633-1641. ( 10.1093/molbev/msg178) [DOI] [PubMed] [Google Scholar]
  • 42.Sayres MAW, Makova KD. 2011. Genome analyses substantiate male mutation bias in many species. BioEssays News Rev. Mol. Cell Dev. Biol. 33, 938-945. ( 10.1002/bies.201100091) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kirkpatrick M, Hall DW. 2004. Male-biased mutation, sex linkage, and the rate of adaptive evolution. Evol. Int. J. Org. Evol. 58, 437-440. ( 10.1111/j.0014-3820.2004.tb01659.x) [DOI] [PubMed] [Google Scholar]
  • 44.Vicoso B, Charlesworth B. 2006. Evolution on the X chromosome: unusual patterns and processes. Nat. Rev. Genet. 7, 645-653. ( 10.1038/nrg1914) [DOI] [PubMed] [Google Scholar]
  • 45.Mank JE. 2012. Small but mighty: the evolutionary dynamics of W and Y sex chromosomes. Chromosome Res. Int. J. Mol. Supramol. Evol. Asp. Chromosome Biol. 20, 21-33. ( 10.1007/s10577-011-9251-2) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mank JE. 2009. Sex chromosomes and the evolution of sexual dimorphism: lessons from the genome. Am. Nat. 173, 141-150. ( 10.1086/595754) [DOI] [PubMed] [Google Scholar]
  • 47.Gibson JR, Chippindale AK, Rice WR. 2002. The X chromosome is a hot spot for sexually antagonistic fitness variation. Proc. R. Soc. B 269, 499-505. ( 10.1098/rspb.2001.1863) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Drown DM, Preuss KM, Wade MJ. 2012. Evidence of a paucity of genes that interact with the mitochondrion on the X in mammals. Genome Biol. Evol. 4, 875-880. ( 10.1093/gbe/evs064) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bachtrog D. 2013. Y-chromosome evolution: emerging insights into processes of Y-chromosome degeneration. Nat. Rev. Genet. 14, 113-124. ( 10.1038/nrg3366) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Ågren JA, Munasinghe M, Clark AG. 2019. Sexual conflict through mother's curse and father's curse. Theor. Popul. Biol. 129, 9-17. ( 10.1016/j.tpb.2018.12.007) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Henikoff S. 1996. Dosage-dependent modification of position-effect variegation in Drosophla. Bioessays 18, 401-409. ( 10.1002/bies.950180510) [DOI] [PubMed] [Google Scholar]
  • 52.Francisco FO, Lemos B. 2014. How do Y-chromosomes modulate genome-wide epigenetic states: genome folding, chromatin sinks, and gene expression. J. Genom. 2, 94-103. ( 10.7150/jgen.8043) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Rogell B, Dean R, Lemos B, Dowling DK. 2014. Mito-nuclear interactions as drivers of gene movement on and off the X-chromosome. BMC Genom. 15, 330. ( 10.1186/1471-2164-15-330) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Lemos B, Araripe LO, Hartl DL. 2008. Polymorphic Y chromosomes harbor cryptic variation with manifold functional consequences. Science 319, 91-93. ( 10.1126/science.1148861) [DOI] [PubMed] [Google Scholar]
  • 55.Dowling DK, Friberg U, Lindell J. 2008. Evolutionary implications of non-neutral mitochondrial genetic variation. Trends Ecol. Evol. 23, 546-554. ( 10.1016/j.tree.2008.05.011) [DOI] [PubMed] [Google Scholar]
  • 56.Arnqvist G, et al. 2010. Genetic architecture of metabolic rate: environment specific epistasis between mitochondrial and nuclear genes in an insect. Evol. Int. J. Org. Evol. 64, 3354-3363. ( 10.1111/j.1558-5646.2010.01135.x) [DOI] [PubMed] [Google Scholar]
  • 57.Patel MR, et al. 2016. A mitochondrial DNA hypomorph of cytochrome oxidase specifically impairs male fertility in Drosophila melanogaster. eLife 5, e16923. ( 10.7554/eLife.16923) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Gregorius HR, Ross MD. 1984. Selection with gene–cytoplasm interactions. I. Maintenance of cytoplasm polymorphisms. Genetics 107, 165-178. ( 10.1093/genetics/107.1.165) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Clark AG. 1985. Natural selection with nuclear and cytoplasmic transmission. II. Tests with Drosophila from diverse populations. Genetics 111, 97-112. ( 10.1093/genetics/111.1.97) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Babcock CS, Asmussen MA. 1996. Effects of differential selection in the sexes on cytonuclear polymorphism and disequilibria. Genetics 144, 839-853. ( 10.1093/genetics/144.2.839) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Rand DM, Clark AG, Kann LM. 2001. Sexually antagonistic cytonuclear fitness interactions in Drosophila melanogaster. Genetics 159, 173-187. ( 10.1093/genetics/159.1.173) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Unckless RL, Herren JK. 2009. Population genetics of sexually antagonistic mitochondrial mutants under inbreeding. J. Theor. Biol. 260, 132-136. ( 10.1016/j.jtbi.2009.06.004) [DOI] [PubMed] [Google Scholar]
  • 63.Wade MJ, Brandvain Y. 2009. Reversing mother's curse: selection on male mitochondrial fitness effects. Evol. Int. J. Org. Evol. 63, 1084-1089. ( 10.1111/j.1558-5646.2009.00614.x) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Haller BC, Messer PW. 2019. SLiM 3: forward genetic simulations beyond the Wright–Fisher model. Mol. Biol. Evol. 36, 632-637. ( 10.1093/molbev/msy228) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Smith S, Turbill C, Suchentrunk F. 2010. Introducing mother's curse: low male fertility associated with an imported mtDNA haplotype in a captive colony of brown hares. Mol. Ecol. 19, 36-43. ( 10.1111/j.1365-294X.2009.04444.x) [DOI] [PubMed] [Google Scholar]
  • 66.Barrett SCH, Yakimowski SB, Field DL, Pickup M. 2010. Ecological genetics of sex ratios in plant populations. Phil. Trans. R. Soc. B 365, 2549-2557. ( 10.1098/rstb.2010.0002) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Hamilton WD. 1967. Extraordinary sex ratios. Science 156, 477. ( 10.1126/science.156.3774.477) [DOI] [PubMed] [Google Scholar]
  • 68.Wright S. 1940. Breeding structure of populations in relation to speciation. Am. Nat. 74, 232-248. ( 10.1086/280891) [DOI] [Google Scholar]
  • 69.Charlesworth B. 2009. Effective population size and patterns of molecular evolution and variation. Nat. Rev. Genet. 10, 195-205. ( 10.1038/nrg2526) [DOI] [PubMed] [Google Scholar]
  • 70.Lemos B, Branco AT, Hartl DL. 2010. Epigenetic effects of polymorphic Y chromosomes modulate chromatin components, immune response, and sexual conflict. Proc. Natl Acad. Sci. USA 107, 15 826-15 831. ( 10.1073/pnas.1010383107) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Yee WKW, Rogell B, Lemos B, Dowling DK. 2015. Intergenomic interactions between mitochondrial and Y-linked genes shape male mating patterns and fertility in Drosophila melanogaster. Evolution 69, 2876-2890. ( 10.1111/evo.12788) [DOI] [PubMed] [Google Scholar]
  • 72.Dean R, Lemos B, Dowling DK. 2015. Context-dependent effects of Y chromosome and mitochondrial haplotype on male locomotive activity in Drosophila melanogaster. J. Evol. Biol. 28, 1861-1871. ( 10.1111/jeb.12702) [DOI] [PubMed] [Google Scholar]
  • 73.Innocenti P, Morrow EH, Dowling DK. 2011. Experimental evidence supports a sex-specific selective sieve in mitochondrial genome evolution. Science 332, 845-848. ( 10.1126/science.1201157) [DOI] [PubMed] [Google Scholar]
  • 74.Clark AG. 1984. Natural selection with nuclear and cytoplasmic transmission. I. A deterministic model. Genetics 107, 679-701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Arnold J, Asmussen MA, Avise JC. 1988. An epistatic mating system model can produce permanent cytonuclear disequilibria in a hybrid zone. Proc. Natl Acad. Sci. USA 85, 1893-1896. ( 10.1073/pnas.85.6.1893) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Connallon T, Camus MF, Morrow EH, Dowling DK. 2018. Coadaptation of mitochondrial and nuclear genes, and the cost of mother's curse. Proc. R. Soc. B 285, 20172257. ( 10.1098/rspb.2017.2257) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Asmussen MA, Arnold J, Avise JC. 1987. Definition and properties of disequilibrium statistics for associations between nuclear and cytoplasmic genotypes. Genetics 115, 755-768. ( 10.1093/genetics/115.4.755) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cavelier L, Jazin E, Jalonen P, Gyllensten U. 2000. MtDNA substitution rate and segregation of heteroplasmy in coding and noncoding regions. Hum. Genet. 107, 45-50. ( 10.1007/s004390000305) [DOI] [PubMed] [Google Scholar]
  • 79.Rossignol R, Faustin B, Rocher C, Malgat M, Mazat J-P, Letellier T. 2003. Mitochondrial threshold effects. Biochem. J. 370, 751-762. ( 10.1042/bj20021594) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Havey MJ. 1997. Predominant paternal transmission of the mitochondrial genome in cucumber. J. Hered. 88, 232-235. ( 10.1093/oxfordjournals.jhered.a023094) [DOI] [Google Scholar]
  • 81.Schwartz M, Vissing J. 2002. Paternal inheritance of mitochondrial DNA. N. Engl. J. Med. 347, 576-580. ( 10.1056/NEJMoa020350) [DOI] [PubMed] [Google Scholar]
  • 82.Wolff JN, Nafisinia M, Sutovsky P, Ballard JWO. 2013. Paternal transmission of mitochondrial DNA as an integral part of mitochondrial inheritance in metapopulations of Drosophila simulans. Heredity 110, 57-62. ( 10.1038/hdy.2012.60) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Montgomery BR, Bailey MF, Brown GG, Delph LF. 2014. Evaluation of the cost of restoration of male fertility in Brassica napus. Botany 92, 847-853. ( 10.1139/cjb-2014-0140) [DOI] [Google Scholar]
  • 84.Turelli M, Moyle LC. 2007. Asymmetric postmating isolation: Darwin's corollary to Haldane's rule. Genetics 176, 1059-1088. ( 10.1534/genetics.106.065979) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Keaney TA, Wong HWS, Dowling DK, Jones TM, Holman L. 2020. Sibling rivalry versus mother's curse: can kin competition facilitate a response to selection on male mitochondria? Proc. R. Soc. B 287, 20200575. ( 10.1098/rspb.2020.0575) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Munasinghe M, Haller BC, Clark AC. 2021. Migration restores hybrid incompatibility driven by nuclear-mitochondrial sexual conflict. bioRxiv. ( 10.1101/2021.02.23.432505) [DOI]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The scripts for all simulations can be found on GitHub: https://github.com/mam737/mito_nuclear_SLiMulations.


Articles from Proceedings of the Royal Society B: Biological Sciences are provided here courtesy of The Royal Society

RESOURCES