Summary
Postzygotic reproductive isolation is often thought to accumulate as a byproduct of neutral divergence. Yet, it frequently evolves rapidly, in line with non-neutral evolution. A major driver of intrinsic postzygotic reproductive barriers are intragenomic conflicts, such as conflict between maternal and paternal interests in resource allocation to offspring (i.e. parental conflict). Parental conflict may underlie hybrid seed inviability, a common and rapidly evolving reproductive barrier in angiosperms. Nevertheless, in closely related, hybridizing species, it remains unclear how intragenomic conflicts and introgression interact to determine the fate of incompatibility alleles in nature. Here, we explore repeated incidences of hybrid seed inviability in a rising model: the Mimulus guttatus species complex. Using an extensive, range-wide crossing survey, we discover patterns of hybrid seed inviability within the widespread M. guttatus that are better described by geography than phylogeny. These patterns of reproductive isolation transgress M. guttatus species boundaries, as geographically-proximate but phylogenetically-distant species also exhibit similar patterns of hybrid seed inviability with allopatric populations of M. guttatus. We find strong support that patterns of reproductive isolation are consistent with parental conflict. Lastly, we provide evidence that introgression may underlie shared patterns of hybrid seed inviability between two species within this complex. Such introgression could have led to cascading reproductive isolation with other closely related species, creating a complex landscape of incompatibility. Overall, this work suggests that parental conflict and introgression can interact to shape the rapid and repeated evolution of strong reproductive isolation in the wild.
Keywords: Hybrid seed inviability, Mimulus, cascading reproductive isolation, repeated evolution, hybridization, endosperm, Dobzhansky-Muller Incompatibility
Graphical Abstract

eTOC Blurb
Frayer, Soliman et al. demonstrate that range-wide patterns of hybrid seed inviability between populations of a wildflower species complex are consistent with parental conflict. They further show that in at least one species pair, introgression may underlie these shared patterns of reproductive isolation.
Introduction
The evolution of intrinsic postzygotic isolation is often thought of as a slow accumulation of neutral differences1–3, yet these barriers can evolve rapidly and dynamically throughout divergence, suggesting a non-neutral evolutionary history4–8. Intrinsic incompatibilities are common among diverse taxa4,9–14, indicating that these barriers are fundamental in speciation. Moreover, their study can reveal how closely related taxa diverge in basic developmental processes, such as gametogenesis or offspring development9,10,13,15–19.
Hybrid incompatibility can evolve rapidly via intragenomic conflicts, such as parental conflict20–27. Parental conflict arises when unequal relatedness among offspring in a brood leads to opposing parental optima for resource allocation20,21,28,29. Under this theory, selection should favor paternal alleles that draw more resources from the ovule-parent to their offspring, while maternal alleles arise to combat that excess via resource repression28,29. This parental “tug of war” can lead to an evolutionary arms race wherein sets of maternal and paternal alleles become coadapted within a given population or species30. Parental conflict manifests most significantly in taxa with specialized tissues that facilitate nutrient exchange from ovule-parents to offspring, namely the endosperm in angiosperms and the placenta in eutherians26. Mechanistically, this could be achieved through genomic imprinting, a specialized form of gene regulation that has independently evolved in angiosperms and eutherians, wherein genes exhibit parent-of-origin biased expression21. Parental conflict theory posits that within lineages, maternally- and paternally-acting alleles should be evenly matched, resulting in typical offspring development. However, crosses among lineages with different histories of conflict can reveal selfish alleles with such parent-of-origin effects, leading to dysfunctional offspring development and potentially death23,25,31,32. Several testable predictions arise from parental conflict theory: First, reciprocal hybrids should exhibit parent-of-origin specific growth abnormalities. Namely, F1s sired by a lineage that has experienced a longer or more intense history of conflict should exhibit an overgrowth phenotype known as “paternal excess”, while the reciprocal cross should exhibit an undergrowth phenotype (i.e. “maternal excess”)21,30. We refer to these as high- and low-conflict lineages, and note that these definitions align with high- and low-endosperm balance number, a similar conceptual framework used in crop breeding33,34. Second, if parent-of-origin growth effects cause hybrid inviability, size asymmetries should correlate with inviability35. Third, incompatibility should involve tissues that facilitate nutrient exchange among maternal parents and offspring26. Last, crosses that restore the balance of maternally- and paternally-acting alleles (i.e. crosses between lineages with similar histories of conflict) should be compatible, even if their histories of conflict are evolutionarily independent35. This creates a final testable prediction that the outcome of crosses should be predictable based on inferred histories of conflict.
Hybrid seed inviability is common across angiosperms10,35–47. Overgrowth phenotypes often involve delayed cell division or cellularization in the endosperm, both of which tend to be lethal35,37,40–42,46,48,48. Conversely, undergrowth phenotypes result from accelerated endosperm development12,35,37,40,42,46. Furthermore, hybrid seed inviability can evolve rapidly25 including in taxa as recently diverged as 10,000 years12. The observation that hybrid seed inviability has evolved rapidly and independently across diverse angiosperms, with consistent patterns of dysfunctional seed development, indicates that it is highly repeatable at the phenotypic level. However, it remains unclear if this repeatability extends to the genetic level, and what the source of any shared genetic variation might be. These questions have fundamental implications for evolution, revealing how much of the genome is susceptible to genetic conflict and how quickly these alleles can arise and spread.
Introgression can promote the spread of alleles among populations49,50. While typically thought to hinder speciation, introgression can contribute to reproductive isolation by introducing novel ecologically-mediated reproductive barriers51,52. Introgression from one species into another can also enable reproductive isolation with a third species53,54. Theory based on meiotic drivers predicts that once a selfish-element invades a new population, it should spread55,56, and empirical work on introgressed selfish-elements supports this prediction55–57. However, it is unclear under what conditions an intrinsic incompatibility that has evolved via intragenomic conflicts could persist as a reproductive barrier. Furthermore, if and how theory developed for meiotic drivers translates to an allele evolving via parental conflict remains unknown.
Here, we leverage the Mimulus guttatus species complex to understand the repeated occurrence of hybrid seed inviability. We identify several instances of hybrid seed inviability across geographically and/or phylogenetically distinct taxa. We test whether these patterns of crossability conform to the prediction of parental conflict. We then assess whether the genetic basis of hybrid seed inviability between two incidences is shared, and whether they have a history of introgression. Our results support a scenario in which introgression of selfish elements led to the repeated evolution of reproductive isolation between lineages.
Results
Repeated occurrence of hybrid seed inviability
The Mimulus guttatus species complex is a recent radiation of monkeyflowers endemic to western North America58,59 (Figure 1A,B; crown age estimate: 674kya44). This species complex includes several uniquely named species, as well as the widespread M. guttatus, which is paraphyletic and comprises two major clades60 (‘Northern’ and ‘Southern’; Figure 1A). We first performed a range-wide crossing survey of 23 populations of M. guttatus, including both the Northern and Southern clades, in a nearly full diallel design (426/506 unique directions, 1,742 crosses), and identified strong and asymmetric patterns of hybrid seed inviability between geographically distinct populations of M. guttatus (Figure 1B,C; Table S1). Crosses between populations from the Sierra mountains/foothills and coastal or northern parts of the range were largely inviable, producing flat seeds that did not germinate when the Sierran populations served as the sire. In contrast, the reciprocal crosses produced viable seeds with high germination rates (Figure 1C; Figure S1; Sierran x Northern M. guttatus: χ2=1427, DF=3, p<0.0001; Sierran x Coastal M. guttatus: χ2=2724, DF=3, p<0.0001). There was no seed inviability in crosses between populations of M. guttatus from the north and coast (herein “Northern” and “Coastal”) or within the Sierran lines—these crosses formed plump, viable seeds with high germination rates (Figure S1; Northern x Coastal M. guttatus: χ2=6.88, DF=3, p=0.08). Despite broad consistency, we found some population-specificity in the magnitude of hybrid seed inviability. Specifically, two Northern M. guttatus accessions exhibited more viable seeds with Sierran lines and fewer with other Northern lines (i.e. CRES and TOK; Figure 1C).
Figure 1. Hybrid seed inviability segregates within the widespread M. guttatus species complex.

A) A maximum likelihood phylogeny of several lineages within the M. guttatus species complex with lines used in the crossing survey denoted by colored shapes at the tips. Inferences of the history of conflict that a subset of these taxa have experienced are denoted by the inner greyscale ring. These inferences are based on the current work, as well as that of others35. The outer colored ring denotes named species or lineages of M. guttatus and M. decorus that are inferred to have different histories of conflict. B) The geographic distribution of the lines used in the crossing survey. Samples are colored according to species/lineage. C) Proportion of viable seeds for pairwise crosses survey between each of the 25 populations. Grey boxes denote incomplete crosses. See also Figure S1 and Table S1.
The discovery that populations of M. guttatus from the Sierra mountains and foothills exhibited a consistent crossing barrier with populations from elsewhere in the range is surprising, because the Sierran M. guttatus themselves do not form a monophyletic group. Instead, they span both major clades on our phylogeny (Figure 1A), with some individuals being more closely related to Northern M. guttatus and others being more closely related to Southern M. guttatus (which includes Coastal M. guttatus). Crossability was more strongly predicted by geographic distance than phylogenetic distance, when considering only crosses involving this Sierran lineage (geographic distance: F=44.7, DF=1, p<0.00001, phylogenetic distance: F=5.9, DF=1, p=0.01). This finding highlights a novel incidence of hybrid seed inviability segregating within geographically distinct populations of M. guttatus, albeit with some population-specificity in the magnitude of incompatibility.
Given the geographic pattern of incompatibility, we next tested whether two additional Sierran endemic species (M. glaucescens and M. corallinus) also exhibited this incompatibility. We crossed two populations of M. glaucescens to 21 populations of M. guttatus from our original crossing survey. Both Sierran M. guttatus and M. glaucescens behaved similarly in crosses with either Northern or Coastal M. guttatus, although seed inviability was more severe in crosses sired by M. glaucescens (Figure 1C). While crosses between Sierran M. guttatus and M. glaucescens produced viable seeds, there was a small but significant decline in viable seed production when M. glaucescens sired the cross (~6–7%; χ2=36.4, DF=3, p<0.001; Figure S1). We then crossed another, more distantly related Sierran endemic, M. corallinus to a single population of Northern M. guttatus. We again found strong, asymmetric hybrid seed inviability, wherein seeds were inviable when M. corallinus sired these crosses but were viable when M. corallinus served as the dam (Figure 2B; χ2=68, DF=3, p<0.0001). Mimulus glaucescens and M. corallinus are distantly related in the species complex, with M. glaucescens belonging to the Northern clade and M. corallinus belonging to the Southern clade (Figure 1A), reinforcing that this novel incidence of hybrid seed inviability is not defined by the phylogeny, but by geography.
Figure 2. Evidence for parental conflict.

Crosses of Sierran M. guttatus (SG), M. corallinus (C), and Southern M. decorus (SD) to Northern M. guttatus (NG; columns). A-C) The proportion of viable seeds for reciprocal crosses. D-F) The seed width for all reciprocal crosses. G-I) The result of germination assays (solid outline) and embryo rescued 8 days after pollination (8 DAP; dotted outline) for reciprocal crosses. In plots A-F, letters indicate groupings of crosses with significant differences. In plots G-I, pairs where embryo rescue significantly differs from the control are denoted by an asterisk. See also Figure S2.
These patterns of hybrid seed inviability mirror those previously described in the M. guttatus species complex involving a phylogenetically-distinct and allopatric species: Southern M. decorus35 (Figure 1A). Crosses between Southern M. decorus and a subset of 9 Northern and Coastal M. guttatus lines used in the crossing survey above reveal a broadly consistent pattern, although the pattern here is more symmetric than previously reported35 (Figure 2A–C). In all cases, hybrid seeds are more likely to be inviable when M. corallinus, M. glaucescens, Sierran M. guttatus, or Southern M. decorus serve as the sire in crosses with Coastal or Northern M. guttatus. Although lines of Coastal and Northern M. guttatus did vary in the severity of incompatibility (Figure 1C, Figure S1), patterns of crossability between any given accession of M. guttatus with Sierran M. guttatus or Southern M. decorus were highly correlated (i.e. lines that exhibit more symmetric patterns of incompatibility with Sierran M. guttatus also show more symmetric patterns of incompatibility with Southern M. decorus; r2=0.79, DF=13, p=0.0005; Figure S2). We next sought to test whether patterns of repeated hybrid seed inviability conformed to the predictions of parental conflict.
The role of parental conflict in hybrid seed inviability
Parental conflict predicts continuous antagonistic selection between maternal- and paternal-interests in resource allocation to offspring21. To investigate whether this novel incidence of hybrid seed inviability may be caused by parental conflict, we next tested the four predictions outlined in the introduction. First, under parental conflict, we predict that F1 seeds should differ in size20,21,61. Consistent with this prediction, all incompatible crosses exhibited parent-of-origin growth effects in reciprocal F1 seeds, wherein seeds sired by M. corallinus, M. glaucescens, Sierran M. guttatus, or Southern M. decorus were larger than the reciprocal cross, indicative of a paternal excess phenotype (Figure 2D–F; Figure S1).
Second, if parent of origin effects on growth were causing hybrid seeds to die, then the extent of asymmetry in reciprocal F1 seed size should be correlated with seed viability35. Indeed, we find that the level of asymmetry in F1 seed size is highly correlated with asymmetries in F1 seed viability (r2=−0.712, DF=168, p<0.0001) and germination proclivity (r2=−0.559, DF=168, p<0.0001).
Third, under parental conflict, disrupted seed development should manifest in the endosperm20. Therefore, F1 viability should be rescued if embryos are grown on a nutrient-rich media. We performed embryo rescues for a subset of crosses between Northern M. guttatus and each of Sierran M. guttatus, M. corallinus, and Southern M. decorus. While we qualitatively found that germination increased in rescued seeds in four out of six crosses (Figure 2 G–I), only the M. corallinus x Northern M. guttatus cross was statistically significant (Figure 2H). Despite a lack of statistical significance, we were able to rescue crosses that otherwise do not germinate. Moreover, several within-species embryo rescues showed reduced germination (Figure 2G–I), suggesting that the rescue process itself can be damaging. Therefore, while embryo rescues do not perfectly restore germination, the endosperm likely does play an important role in this incompatibility.
Lastly, parental conflict theory dictates that the outcome of crosses should be predictable based on the histories of conflict, even if phylogenetically distant. Based on the observation of paternal excess when Sierran M. guttatus, M. glaucescens, or M. corallinus were sires, we infer that they have experienced a stronger history of conflict than Coastal or Northern lineages of M. guttatus. We tested this inference by crossing these lineages with each other, as well as with a species that had previously been identified as having a stronger history of conflict (Southern M. decorus). We predict that these species should all be compatible with one another, despite not being closely related (Figure 1A). In line with this hypothesis, crosses among all high-conflict lineages (i.e. Southern M. decorus, M. corallinus, M. glaucescens, and Sierran M. guttatus) yielded viable seeds with no parent-of-origin size differences (Figure 3A,B; Figure S3). Conversely, crosses between high-conflict lineages (i.e. M. corallinus and Sierran M. guttatus) and a species that has previously been shown to exhibit the lowest history of conflict of all taxa described herein (i.e. Northern M. decorus35), exhibit reciprocal and nearly complete inviability (Figure 3C,D). This suggests that high-conflict lineages behave in predictable ways: inviability is most severe between lineages with the most disparate histories of conflict, and viability is recovered between lineages with more similar histories of conflict, despite varying divergence times. However, this prediction may also be true if incompatibility loci have introgressed, a possibility we explore below.
Figure 3. Cross compatibility is predictable based on inferred histories of conflict.

High-conflict lineage Southern M. decorus is reciprocally crossed to A) Sierran M. guttatus and C) M. corallinus, and no hybrid seed inviability is observed. The low-conflict lineage, Northern M. decorus, is reciprocally crossed to B) Sierran M. guttatus and D) M. corallinus, and nearly complete hybrid seed inviability is observed. Notably, it has been previously shown that the closely related Southern and Northern M. decorus have complete hybrid seed inviability when crossed to each other35. Letters denote cross directions with significant differences. See also Figure S3.
Repeated incidences of hybrid seed inviability have a shared genetic basis
We next sought to understand if the shared patterns of cross incompatibility were caused by a shared genetic basis. To test this hypothesis, we used a complementation test, where two lines exhibiting a similar phenotype are hybridized, and the presence or absence of phenotypic segregation in F2 hybrids can reveal whether the genetic basis of the focal trait is shared. Using this logic, we created an F2 population between two lineages that both exhibit complete hybrid seed inviability when acting as the sire in a cross with Northern M. guttatus—M. corallinus and Southern M. decorus (Figure 2). We crossed a single inbred line of Northern M. guttatus (IM62) to M. corallinus, Southern M. decorus, their reciprocal F1s, and F2s, with Northern M. guttatus acting as the dam in all crosses (Figure 4A). If the genetic basis of hybrid seed inviability was largely independent, F2s should segregate for alleles associated with hybrid seed inviability, and thus some fraction of F2s would be at least partially compatible with Northern M. guttatus. By contrast, if the genetic basis of hybrid seed inviability was shared, then no genetic variation would segregate among an F2 population and all F2 individuals should be fully incompatible with Northern M. guttatus. Out of 761 crosses (>41,000 seeds, 170 unique F2 individuals), we did not recover a single viable hybrid seed, strongly suggesting that the genetic basis of hybrid seed inviability between Northern M. guttatus and each of M. corallinus and Southern M. decorus is shared (Figure 4A; Figure S4).
Figure 4. The shared genetic basis of hybrid seed inviability between M. corallinus and Southern M. decorus may be due to a history of introgression.

A) A diagram of the crossing design for the complementation test. B) The complementation test supports the shared genetic basis of hybrid seed inviability between Northern M. guttatus and each of M. corallinus and Southern M. decorus. C) PCA of Northern M. decorus, Southern M. decorus, and M. corallinus. D) PCAdmix results for these three lineages. K=2 was the best supported ancestry grouping E) HyDe estimates that 18.2% of the genome of Southern M. decorus comes from M. corallinus. See also Figure S4.
High-conflict lineages exhibit a history of introgression
The shared genetic basis of a trait can be caused by independent mutations in the same or tightly linked gene(s), shared ancestral polymorphisms, or introgression. Given the substantial history of gene flow in this species complex60,62–65, we next assessed patterns of introgression. Using four-population tests, we find extensive evidence of introgression across the complex, as the minimum value of D is significant in 83% of trios (mean D statistic=0.059; M. caespitosa as the outgroup), some of which is caused by ancient introgression among ancestors of extant lineages (Figure S5). Given this extensive introgression, disentangling its role in shaping the distribution of hybrid seed inviability is not straightforward, particularly in currently sympatric taxa.
However, there is a particularly strong signal of introgression between two high-conflict lineages— M. corallinus and Southern M. decorus. These lineages exhibit replicated patterns of hybrid seed inviability with other taxa in the complex (i.e. with both Northern M. guttatus and Northern M. decorus; Figure 2,335), our complementation test above supports a shared genetic basis between these two lineages for inviability with Northern M. guttatus, and they are currently allopatric, potentially allowing for more straightforward tests of introgression. We therefore focused on investigating the history of introgression between Southern M. decorus and M. corallinus.
We performed several tests using only Northern M. decorus, Southern M. decorus, and M. corallinus, with M. caespitosa as an outgroup. While we sequenced 17 Southern M. decorus individuals, we found a high degree of relatedness within populations. We therefore limited most genomic analyses to six unrelated individuals. In a PCA, Southern M. decorus is intermediate to Northern M. decorus and M. corallinus along PC1, which explains 26.67% of the genomic variance (Figure 4B). Multiple lines of evidence support a high fraction of M. corallinus ancestry segregating within Southern M. decorus at a genome-wide level. PCAdmix indicates that there are two ancestries among these three taxa, with Southern M. decorus being ~29% M. corallinus and 71% Northern M. decorus (Figure 4C). Additionally, we estimated a global admixture proportion of 18.2% M. corallinus with HyDe (Figure 4D). Lastly, D and f4 gave consistent estimates of admixture (0.204 and 0.255, respectively). In total, these patterns support a consistent and significant contribution of M. corallinus ancestry into Southern M. decorus.
To characterize local patterns of introgression in Southern M. decorus we identified windows exhibiting high fdM, indicating putative introgression between Southern M. decorus and M. corallinus. Furthermore, given that the Northern and Southern lineages of M. decorus are closely related35, we should expect relatively low values of FST between them, except at regions of the genome that have introgressed between M. corallinus and Southern M. decorus. Such regions should exhibit high FST between both Northern M. decorus and each of M. corallinus and Southern M. decorus, but low FST between M. corallinus and Southern M. decorus. Using these criteria, we find signals of introgression across the genome, typically in small blocks (Figure 5A). These results were consistent with topology weighting, wherein we found support for a phylogeny that grouped M. corallinus and Southern M. decorus at low levels across the genome, but little support for the phylogeny that grouped M. corallinus and Northern M. decorus, in line with a scenario of introgression rather than incomplete lineage sorting (Figure S5A). We used ancestryHMM to infer local ancestry within Southern M. decorus (Figure S5B,C,G–I), and to estimate the timing of admixture at 4,703 generations (Figure S5I). Ancestry from M. corallinus is correlated with fdM (r2=0.511; p<2.2e-16; Figure S5D), but reveals high levels of individual ancestry heterozygosity, suggesting that M. corallinus alleles are segregating in Southern M. decorus populations.
Figure 5. The Southern M. decorus genome is a genomic mosaic of Northern M. decorus and M. corallinus.

A) Distribution of fdM values measured in 250 SNP windows. Light green dots are in the top 1% of fdM values. Dark green dots represent the windows that also overlap with the top 1% of windows with low FST between M. corallinus and Southern M. decorus and high FST between Northern and Southern M. decorus. B) The putative inversion on chromosome 13. The black line represents the smoothed average of FST between M. corallinus and Southern M. decorus minus FST between Northern and Southern M. decorus. Orange blocks indicate the location of genes with known roles in imprinting or endosperm expression: (1) Napin, (2) MSI homolog, (3) DOG1, and (4) FIE homolog. C) A PCA of SNPs within the inversion region places most Southern M. decorus samples intermediate to Northern M. decorus and M. corallinus, except for DL5, which falls closer to M. corallinus. D) Each unrelated Southern M. decorus sample is colored by the most likely ancestry at each position, determined by AncestryHMM. DL5 is largely homozygous for M. corallinus ancestry, while the remaining unrelated samples are largely heterozygous. See also Figure S5 and Table S2.
The distal end of chromosome 13 exhibits a striking signal of introgression (Figure 5B). This region harbors a chromosomal inversion known to be distinct between Northern M. decorus and M. guttatus68 (Joint Genome Institute, pers. comm.). It has previously been implicated in hybrid seed inviability between M. guttatus and M. tilingii69, and preliminary mapping data supports its role in hybrid seed inviability between Northern M. decorus and M. guttatus (Coughlan unpublished data). This inversion contains multiple genes that are potential targets of parental conflict (Table S2). Two of these genes are known to be expressed in the M. guttatus endosperm70, although it is currently unknown whether either are imprinted in Mimulus. These genes are Mimulus homologs of Napin, a storage protein found in maturing seeds71, and DOG1, which plays an important role in seed dormancy72. There are also two genes that are imprinted in Arabidopsis, homologs of MSI and FIE. FIE is also a master regulator of imprinting in Arabidopsis endosperm73–77.
We hypothesized that this inversion has introgressed from M. corallinus into Southern M. decorus and may play an important role in the nearly complete hybrid seed inviability between the two sister lineages of M. decorus. However, the role of this inversion is not straightforward and cannot explain all patterns of hybrid seed inviability across the M. guttatus species complex as M. corallinus and many other M. guttatus lineages share the same orientation, yet also exhibit hybrid seed inviability68. Additionally, the inversion is heterozygous in 15/17 Southern M. decorus samples (5/6 unrelated samples; Figure 5C,D), with the remaining individuals carrying two copies of the M. corallinus orientation. This is perplexing, as segregation of the inversion in the offspring of Southern M. decorus should result in segregating hybrid seed inviability–a pattern that we do not see. However, these patterns may be explained if the genetic basis of hybrid seed inviability between the two lineages of M. decorus is sufficiently redundant (i.e. composed of several large affect alleles with redundant effects). Further genetic mapping will be required to explicitly link this chromosomal inversion with hybrid seed inviability between the two lineages of M. decorus.
Discussion
We show that hybrid seed inviability is widespread and has evolved rapidly and repeatedly in the Mimulus guttatus species complex. Hybrid seed inviability segregates among the widespread M. guttatus, as well as several other species in the group, yet patterns of hybrid seed inviability are more strongly associated with geography than phylogeny. Crossing patterns within this group also conform to predictions of parental conflict theory: crosses exhibit canonical parent-of-origin effects on growth, asymmetries in size are correlated with inviability, incompatibility is at least partially linked with the nutritive endosperm, and patterns of crossing are better predicted by inferred history of conflict than phylogenetic relatedness. Lastly, two instances of hybrid seed inviability appear to have a shared genetic basis, and these two taxa also exhibit a substantial history of introgression. Although more research is needed to explicitly identify genes involved in hybrid seed inviability and assess their histories of introgression, our results highlight the potential for intragenomic conflicts to drive the rapid evolution of incompatibility alleles, and for introgression to underlie the invasion of incompatibility alleles into new species. We posit that introgression of selfish alleles could then cause cascading reproductive isolation between populations of what was once the same species.
Parental conflict as a driver of hybrid seed inviability
Our data are consistent with the parental conflict theory, which posits an ongoing arms race between paternally-acting, resource-acquiring alleles and maternally-acting, resource-repressive alleles within populations. When populations with different histories of conflict hybridize, incompatibilities between these alleles are revealed. The strength of conflict within a population can be influenced by several demographic and life history factors, particularly mating system37,42,78. However, all taxa in this study are likely outcrossing, based on their floral morphologies and levels of genetic diversity, yet exhibit signatures of different histories of parental conflict. Demographic differences that influence the number and/or relatedness of effective fathers in a population may also influence the strength of parental conflict (see35,79). Additionally, it is also possible that ecological differences between the Sierras and other parts of the range mediate cost/benefit ratio of maternal investment, in turn influencing the maternal response to paternal excess (although we do not see consistent differences in final seed size among Sierran and non-Sierran species which may result from ecologically-mediated selection in seed investment; Figure 2D–F; Figure S1). In this particular group, significant work on the biogeographic and demographic histories will be required to better understand why histories of conflict appear to be so variable on such short timescales.
Patterns of hybrid seed inviability in the M. guttatus species complex conform to predictions of parental conflict. First, a hallmark phenotype of parental conflict is parent-of-origin growth defects in F1 hybrids, which we observe in all crosses. Second, the extent of parent-of-origin growth effects are highly correlated with seed viability. Third, parental conflict theory predicts that incompatibilities should manifest in the endosperm. Therefore, it should be possible to “rescue” embryos by providing them with an external source of nutrition. Our embryo rescue results are less conclusive than the patterns in seed size, but they trend in the expected direction, and we were able to rescue hybrid embryos in crosses that typically do not germinate. Moreover, the procedure itself may have negatively influenced final germination rates, as exemplified in our control embryo rescues (which in some cases are significantly worse than the regular germination assay; Figure 2). Lastly, inferred histories of conflict are highly predictive of the outcome of future crosses. Despite being more distantly related, all Sierran lineages were entirely compatible with one another, as well as with high-conflict Southern M. decorus. By contrast, Sierran M. guttatus and M. corallinus were completely incompatible with the lower-conflict lineage, Northern M. decorus.
The introgressed chromosome 13 inversion also supports a role for parental conflict. Several genes located in or near our top fdM peaks are expressed in the Mimulus endosperm80 (e.g., DOG1 and Napin) or imprinted in Arabidopsis and contribute to parent-of-origin effects when disrupted in that species73,75 (e.g., FIE and MSI). In addition to being imprinted themselves, both FIE and MSI function as part of the polycomb repressive complex, which establishes the histone modifications needed for imprinting and proper endosperm development77,81. Moreover, this inversion has been implicated in hybrid seed inviability in at least two crosses (Coastal M. guttatus x M. tilingii69 and Northern M. guttatus x Northern M. decorus; Coughlan unpublished data). While some questions remain (i.e. excess levels of heterozygosity within the inversion), we hypothesize that introgression of this inversion from M. corallinus into what is now Southern M. decorus led to cascading reproductive isolation with what is now Northern M. decorus. Explicit tests of its role in generating hybrid seed inviability between Southern M. decorus and M. guttatus will require additional genetic mapping.
Our work adds to a growing body of evidence for parental conflict across diverse taxa35,46,47,82–88. Widespread, asymmetric hybrid seed inviability are not only consistent with other studies in diverse angiosperms, but also mirror the parent-of-origin phenotypes observed in mammals, where the placenta performs an analogous function to the endosperm10,12,26,35,37,40–43,46,48,89–94. These parallels suggest that parental conflict could be a common driver of early-onset hybrid embryonic death, especially in cases where isolation is rapidly evolving and/or actively segregating, as is the case in the M. guttatus species complex.
A polymorphic incompatibility sorted by geography
One striking finding from our work is that hybrid seed inviability segregates within the widespread M. guttatus. Polymorphic incompatibilities are common in nature6,95–98, and may represent incompatibilities en route to fixation (or loss99). Yet, it is often unclear how such alleles would avoid removal from the population, especially when rare100–102. If the alleles themselves are selfish, such as targets of parental conflict, the selective advantage conferred by these alleles may aid in overcoming their deleterious epistatic effects55,56,103. Theory and empirical work has demonstrated the ability of selfish elements such as meiotic drivers to spread despite deleterious effects to the host55,103–106, but an equivalent body of work is lacking for alleles evolving via parental conflict.
These patterns of hybrid seed inviability do not align with inferred phylogenetic relationships presented here or alternative topologies presented elsewhere107. All Sierran M. guttatus have a similar crossing pattern and are compatible with one another, yet they are not a monophyletic group (Figure 1A). Although the M. guttatus species complex inhabits a broad range58,59, the Sierras represent a unique geographic location where two diverged clades meet (i.e. Northern and Southern M. guttatus60), and is home to several endemic species60,63,108–110. Although more phylogeographic work is needed, one compelling hypothesis is that the Sierras may have contained unique refugia during the last glacial maximum, allowing for population divergence and the accumulation of incompatibility alleles. As ranges expanded, such incompatibility alleles may have spread to nearby populations in the Sierra foothills. In line with this hypothesis, we find excessive allele sharing between the Northern and Southern clades of M. guttatus in the Sierra mountains and foothills (Figure S5). Similar population histories within the Sierras are known in other species111. Alternatively, incompatibility alleles may predate the split of the Northern and Southern clades, and may have independently fixed in the Sierra mountains and foothills. Given that the entire complex exhibits significant allele sharing60,62–64, distinguishing patterns of incomplete lineage sorting from introgression will require a much deeper understanding of the relationship among populations in the Sierras and beyond (though see60,112). Despite this, one clear incidence of introgression is that of M. corallinus into the now allopatric Southern M. decorus.
Introgression as a source of incompatibilities
Our work supports a shared genetic basis of hybrid seed inviability and a history of introgression between M. corallinus and Southern M. decorus. Given the low divergence between Southern M. decorus and its sister species, Northern M. decorus, we infer that this introgression may have led to cascading reproductive isolation between the two M. decorus lineages.
Many questions remain about this case of introgression. First, the current geographic distance between M. decorus and M. corallinus suggests that introgression is not ongoing, but it is unclear how and where this introgression originally occurred. The distribution of the M. guttatus species complex is likely a result of post-glaciation recolonization60, which may have facilitated hybridization. Our estimate of the timing of admixture corresponds to a period of geological dynamism in the southern Cascades, wherein many of the Cascade Lakes were formed (4,703 generations; 4–14kya, assuming a 1–3 year generation time113). It is also possible that the source of introgression was a close relative of M. corallinus that was not sampled or is no longer extant. Indeed, regions that we identified as fixed for M. corallinus ancestry within Southern M. decorus are not identical (Dxy=0.017; FST=0.007). Still, even with the high diversity of this species complex68, our data support M. corallinus as the most likely source of the introgression (Figure S5).
Introgression may be an underappreciated contributor to reproductive isolation. Although often viewed as homogenizing114, introgression can generate novel biodiversity51,52,115,116. In between these extremes, introgression may move incompatibility alleles between populations54,117. In the case of Northern and Southern M. decorus presented in this study, introgressed alleles from M. corallinus may have provided an advantage in parental competition to isolated populations of M. decorus, leading to the origin of the Southern lineage. We have previously shown that seeds developing alongside hybrids from low-conflict fathers are larger than seeds growing beside full siblings118, suggesting that at the level of individual alleles, selfish solicitation of maternal resources confers a direct benefit to the individual seed (and a direct cost to sibling seeds). However, how small increases in seed size translate into fitness in the wild remains unknown. Additional theory will be needed to understand the conditions under which such introgression is likely to be advantageous27. Few incidences of introgressed incompatibilities have been reported54,119, but given the ubiquity of introgression across eukaryotes49,50, they may be more prevalent than previously thought.
Resource Availability
Lead Contact
Requests for further information and resources should be directed to and will be fulfilled by the lead contact, Dr. Megan Frayer (megan.frayer@yale.edu).
Materials availability
Seeds from field collections and experimental crosses are available by request to the lead contact.
Data Availability
Sequence data have been deposited at the NCBI Sequence Read Archive as BioProject PRJNA1333461 and are publicly available as of the date of publication.
Data from crosses have been deposited at Dryad (https://doi.org/10.5061/dryad.xsj3tx9tr) and are publicly available as of the date of publication.
All original code has been deposited at Zenodo (https://doi.org/10.5281/zenodo.18556668) and is publicly available as of the date of publication.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
STAR Methods
Experimental Model and Study Participant Details
The Mimulus guttatus species complex is a group of very closely related wildflowers native to the western North America120–122. Like many species complexes, the taxonomy of this rapidly radiating group is fairly complex. At current, the M. guttatus species complex contains several named species, many of which are fairly geographically restricted (i.e. M. corallinus, M. glaucescens, M. laciniatus, M. decorus), as well as the widespread, and ecologically and genetically diverse M. guttatus. Importantly, M. guttatus is paraphyletic and comprises two major clades (Northern and Southern), and all other species in the complex are nested within these clades (i.e. Figure 1A), potentially serving as a model for budding speciation63,108,123. In addition to members of the M. guttatus species complex, we use the closely related species Mimulus caespitosa as an outgroup for many of our genomic analyses.
Plant Rearing
For all experiments, seeds were cold stratified at 4°C for 5 days before being transferred to long days in the University of North Carolina greenhouses (16hrs light, 22°C). Follow up crosses, including the complementation test and plants reared for embryo rescues, were completed under the same conditions at the Yale University greenhouses. For all crosses, the buds were emasculated 1–2 days before opening to prevent autogamous self-fertilization, and pollen from a freshly opened flower of the sire was applied to a receptive stigma of the dam.
Method Details
Crossing surveys
To assess hybrid seed inviability within the widespread M. guttatus, we grew 3–5 individuals from 1 inbred line/maternal family for each of 23 populations of M. guttatus, which span a large part of the species’ geographic range (Figure 1B; Table S1). Upon flowering, we crossed all accessions to each other in a nearly full diallel design, totalling 426 unique cross directions (out of a possible 506), with a mean of 4 replicate crosses per combination (range: 1–12, totalling 1,742 crosses). Based on the results of these crosses, we performed follow-up crossing surveys that incorporated other species within the complex: Mimulus decorus, M. corallinus, and M. glaucescens. Previously, we found that M. decorus was two genetically unique lineages, Northern and Southern, that vary in their ability to cross with M. guttatus, putatively via differences in the strength of parental conflict within each lineage35. Therefore, we crossed 12 accessions of M. guttatus (which spanned the observed variation in crossing pattern in the initial survey) to 4 populations of Southern M. decorus (high-conflict lineage; mean of 4 replicate crosses/direction, 730 crosses total), and 3 populations of Northern M. decorus (low-conflict lineage; mean of 3 replicate crosses/direction, 256 crosses total). For M. glaucescens, we crossed individuals from 2 populations to 21 M. guttatus populations used in the original survey, as well as 2 populations of Northern M. decorus and 4 populations of Southern M. decorus (mean of 4 replicate crosses, 458 crosses total). For M. corallinus, we crossed 3 accessions of M. corallinus to one accession of each Northern M. guttatus, Sierran M. guttatus, Northern M. decorus, and Southern M. decorus (3 replicate crosses/direction, 95 crosses total).
Estimation of seed viability, germination, and size
We estimated seed viability in two ways. First, we counted all seeds formed per fruit and characterized viability based on morphology (e.g., shriveled/flat corresponding to inviable, or round corresponding to viable). To confirm germination proclivity, we performed a germination assay where 10 seeds from each unique cross combination were plated on 0.6% agar, cold stratified for 1 week, then placed in a growth chamber under long-day conditions (18hrs light, 21/18°C day/night) at Yale University. We seeded 3 replicated plates per unique cross. Plates were monitored weekly for 4 weeks for the emergence of a radicle, which was deemed a germinant. These two measurements of viability are highly correlated (r2 = 0.81, DF = 532, p < 0.0001), but offer different insights; while one characterizes abnormal phenotypes, the other directly assesses death. To determine seed size, we photographed seeds on white paper with a Nikon D3500 DSLR digital camera and a size standard. We measured the width of 25 seeds for each fruit manually using ImageJ124.
Embryo Rescue
We further wanted to determine if hybrid seed inviability was caused by defects in the endosperm rather than the embryo itself. To test this, we performed an embryo rescue experiment where early developing seeds were grown on Murashige and Skoog media supplemented with 4% sucrose to functionally compensate for the endosperm by providing external nutrition needed for growth. Under long days at the Yale University greenhouses, we grew four individuals from a single inbred line representing each of the four species used in this assay: Northern M. guttatus (IM62), Sierran M. guttatus (CCC9), M. corallinus (SILF), and Southern M. decorus (OD11). Given that all incidences of hybrid seed inviability reported here involve Northern M. guttatus, we crossed Northern M. guttatus reciprocally with the other three species and included intraspecific crosses as controls. For each cross direction, we performed three replicate crosses and dissected the ovaries eight days after pollination (DAP). Ten seeds per cross were placed on Petri dishes with media, sealed with 3M micropore tape, then incubated in growth chambers under long-day conditions (18 hrs light, 22/20°C day/night). Seeds were scored for germination weekly for four weeks.
Complementation test
In this study, we report multiple incidences of hybrid seed inviability and shared patterns of incompatibility across phylogenetically and geographically distinct taxa. Given that we find the repeated occurrence of high-conflict lineages within the M. guttatus complex, we next sought to understand if the genetic basis of the incompatibility was shared among incidences. To do so, we performed a complementation test between two geographically distinct taxa that showed similar patterns of hybrid seed inviability when crossed with Northern M. guttatus- Southern M. decorus and M. corallinus. We first crossed these two species reciprocally, then self-fertilized F1s from each cross direction to create reciprocal F2 populations (Figure 4). We predict that if the genetic basis of hybrid seed inviability with Northern M. guttatus was largely shared between M. corallinus and Southern M. decorus, all F2s should produce inviable seeds when acting as the sire in crosses with Northern M. guttatus, just as we see for both M. corallinus and Southern M. decorus. By contrast, if the genetic basis was independent, then F2s should segregate for their crossability with Northern M. guttatus, resulting in some fraction of F2s that produced viable hybrid seeds. To test these predictions, we planted five replicates of each parent, along with 15 F1s from each cross direction, and roughly 100 F2s from each cross direction. By including both reciprocal directions of F1s (with M. corallinus acting as both the dam and sire) and F2s (with M. corallinus acting as both the grand-dam and grand-sire), we aim to control for any differences in parent-of-origin effects within this cross. After omitting individuals that did not flower, we were left with three Southern M. decorus, four M. corallinus, 15 Southern M. decorus x M. corallinus F1s, 12 M. corallinus x Southern M. decorus F1s, and 170 F2s (83 with Southern M. decorus as the grand-dam and 87 with M. corallinus as the grand-dam). We crossed each experimental plant with an inbred line of Northern M. guttatus (IM62), with IM62 serving as the dam and each experimental plant as the sire for all crosses. We performed an average of three replicate crosses per plant (range: 1–10), totaling 761 crosses. Based on our previous results, hybrid seed inviability should manifest as large, flat, disc-like seeds. We assessed the percentage of viable seed per fruit.
Genomic Analyses
In order to contextualize the patterns observed above with the underlying genetic relationships between lineages, we used whole genome sequences from the lines used in our experiments, combined with numerous new and publicly available sequences. We sequenced 99 new accessions and combined this with 73 publicly available accessions (Table S1). For new sequences, we extracted DNA from bud and leaf tissue using the ThermoFisher GeneJET Plant Genomic DNA kit. Illumina libraries were prepped and sequenced using NovaSeq6000 by the Yale Center for Genome Analysis. For all accessions, we cleaned reads using fastp v0.23.2 (using option “-q 20”; Chen et al. 2018) and aligned to the IM62v3 reference genome68 using the BWA mem algorithm v0.7.17126. We removed duplicates using Picard v2.25.6 (options “VALIDATION_STRINGENCY=LENIENT”; http://broadinstitute.github.io/picard). We called variants using bcftools mpileup and call (V1.16127,128), and filtered for quality and depth (-e “FMT/DP<4 | FMT/GQ<20 | QUAL<40”) using bcftools v1.16.
Quantification and Statistical Analysis
Estimation of seed viability, germination, and size
To assess cross compatibility and parent-of-origin differences in seed size, we ran a series of linear mixed models using the lme4 package in R129, where either the proportion of viable seeds or seed width was the response variable, cross type was a fixed effect, and the identity of the maternal and paternal populations were each random effects. In both sets of analyses, cross type contained four levels (within-lineage for each parent and each reciprocal F1). For each model, we then assessed differences among cross types with a type III Anova using the car package and identified significant comparisons using contrasts from the emmeans package in R130,131.
Additionally, to assess whether patterns of hybrid seed inviability found in the Sierras were best described by the geographic and/or phylogenetic distance of the parental populations, we constructed a linear model with the average proportion of viable seeds across all replicates and cross directions as the response variable and the pairwise phylogenetic distance (calculated using the R package ape132) and geographic distance (calculated as the Haversine distance) between accessions/sampling localities, respectively as fixed effects. We then assessed the significance of fixed effects with a type III Anova using the car package, as above. For these analyses, we limited the crossing data to any crosses involving Sierran M. guttatus and M. glaucescens, as we explicitly wanted to describe patterns of crossability that involved this Sierran lineage.
Lastly, to assess whether asymmetries in hybrid seed size were correlated with viability, we first calculated the relative difference between reciprocal F1s in both seed size and viability as ((Species 1 × Species 2) - (Species 2 × Species 1)) / ((Species 1 × Species 2) + (Species 2 × Species 1)), where the values of these reciprocal crosses is the average seed size, proportion viable seed per cross, or average germination rate35. Using this equation, values close to 0 denote F1s with highly symmetric values of seed size or viability between crosses.
Embryo Rescue
For each cross direction, we tested for significant difference between the germination assay and 8 DAP embryo rescue using unpaired non-parametric Wilcoxon rank-sum test in R.
Complementation Test
We performed a simplified power analysis to assess under what genetic conditions we would be able to detect segregating phenotypes among our F2s. For all models, we assumed x unlinked loci with equivalent and additive effect sizes, and assessed the expected fraction of F2 individuals that would exhibit complete inviability with M. guttatus. Here, x varied from 1 to 10 loci, and we simulated four levels of effect size: each locus having a 100% lethal effect, 50% lethality, 25% lethality, or 10% lethality. We then performed a Fisher’s Exact test between our observed counts of individuals that produced no viable seeds (versus those that produced at least some viable seeds) with what would be expected under each set of genetic conditions. We find that, except under the most extreme parameters (i.e. 6 or more loci, each of which exhibits 100% lethality or 9 or more loci each of which exhibits 50% lethality; Figure S4), we have the power to identify a lack of segregation among F2s. We note that these are quite conservative estimates, as other studies have found that hybrid seed inviability typically involves a smaller number of paternally acting alleles (i.e. 3–6), each of which reduces viability by 20–50%37,41,69 (Coughlan, unpublished).
Genomic Analyses
We estimated relatedness among samples using king (v 2.3.2133). Next, we constructed a phylogeny for all lineages using IQTree2134. We removed individuals with less than 3X coverage, as well as those suspected to be early generation hybrids, leaving 158 sequences. We used only biallelic sites and sites with a minimum minor allele frequency of 0.05. We selected the best substitution model, TVM+F+ASC+R6, using ModelFinder135, and then we used that model to infer a consensus tree using 1000 bootstraps (Figure 1A).
In order to broadly assess diversity, divergence, and introgression among these lineages, we calculated D and f4 statistics using Dsuite67. We split samples into their respective lineages by combining field identification with the inferred relationships from the phylogeny, as well as PCAdmix run using all samples. We ran all combinations of M. guttatus species complex lineages with Dtrios using a more distantly related and allopatric species–M. caespitosa–as an outgroup. We compared the arrangement of the trios that minimized the value of D to the arrangement predicted by the phylogeny generated above. We also ran Dtrios constrained by the phylogeny, and used these results to obtain f-branch values67.
We further compared the genomes of the two high-conflict lineages for which we had performed the complementation test (M. corallinus and Southern M. decorus), as well as the low-conflict sister species of Southern M. decorus: Northern M. decorus. We used PCANGSD136 to perform PCA and PCAdmix for global ancestry grouping. Based on these initial findings, we found a striking pattern of ancestry sharing between the two high-conflict lineages. To investigate this shared ancestry further, we constructed explicit tests of introgression using Dsuite and calculated admixture proportion for southern M. decorus using HyDe66, using standard settings with M. caespitosa as an outgroup.
In order to investigate patterns of introgression along the genome, we used Dinvestigate to calculate fdM in sliding windows of 250 SNPs with a 50 SNP step. We selected fourfold degenerate sites using degenotate137, and used these to calculate FST with Pixy138 using the same sliding windows in which fdM was calculated. We further investigated regions of the genome that appear introgressed by estimating topology weighting along the genome using TWISST139. TWISST input files were made using the genomics_general scripts available from Simon Martin (https://github.com/simonhmartin/genomics_general), as recommended by the TWISST manual, again using M. caespitosa as an outgroup.
To understand the individual-level patterns of introgression, we inferred local ancestry within our Southern M. decorus genomes using ancestryHMM140. We used all M. corallinus and Northern M. decorus individuals to calculate population allele frequencies for the parental populations using custom scripts. To assign genetic distances between loci, we used a linkage map generated from crosses between Northern M. decorus and M. guttatus (Schwarz, unpublished); for sites in between SNPs on the linkage map, we assumed a linear increase in genetic position with physical position. We used a starting ancestry proportion of 20% M. corallinus ancestry, and allowed the timing of that ancestry to be inferred by the program. We compared three different sets of SNPs: 1) all sites that had variation in the parental populations, 2) fixed differences between the parents, and 3) sites with an allele frequency difference between the parents greater than 50%. We only included SNPs that had no missing data in the parental samples (Figure S5G–I). We focus on the results from using all variable sites as these analyses yielded the most consistent results with other genomic analyses.
Finally, our M. corallinus samples displayed significant population structure, with four individuals forming a distinct group in the phylogeny and PCA. Therefore, we repeated all of our analyses with and without those individuals. There was not a substantial difference in the results, so we present only the results using all M. corallinus individuals here.
Additional Resources
There are no additional resources to report for this manuscript.
Supplementary Material
Table S1. Accessions used for crossings and genomic analyses, Related to STAR Methods
Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Chemicals, peptides, and recombinant proteins | ||
| Sucrose | Fisher | Catalog number BP220-1 |
| Murashige and Skoog media | MP | Catalog number 2623220 |
| Powder Micropropagation type II | Caisson | Catalog number A037-1KG |
| Bacto Agar | BD Biosciences | Catalog number 214010 |
| Critical commercial assays | ||
| GeneJET Plant Genomic DNA kit | ThermoFisher | Catalog number K0791 |
| Deposited data | ||
| Phenotypic data from crossing survey | This study | Dryad DOI: 10.5061/dryad.xsj3tx9tr |
| Resequenced genomes | This study; Coughlan et al.35, Sandstedt et al.44, Brandvain et al.62, Ivey et al.63, Garner et al.69, Coughlan et al.110, Mower et al.141, Hellsten et al.142, Puzey et al.143, Colicchio, Hamm et al.144 | BioProject PRJNA1333461; See Supplemental Table 1 for all accession numbers |
| Experimental models: Organisms/strains | ||
| Mimulus seeds | Collected by J. M. C. | N/A |
| Software and algorithms | ||
| fastp | Chen et al.125 | v0.23.2; https://github.com/OpenGene/fastp |
| BWA mem algorithm | Li and Durbin126 | v0.7.17; https://github.com/lh3/bwa |
| Picard | http://broadinstitute.github.io/picard | v2.25.6; https://broadinstitute.github.io/picard/index.html |
| bcftools | https://samtools.github.io/bcftools/howtos/install.html | v1.16; https://github.com/samtools/bcftools |
| R: lme4 | Bates et al.129 | N/A |
| R: emmeans | Fox and Weisberg130 | N/A |
| R. car | Lenth131 | |
| R: ape | Paradis et al.132 | N/A |
| king | Manichaikul et al.133 | v2.3.2; https://www.kingrelatedness.com/ |
| IQTree2 | Minh et al.134 | v2.4.0; https://iqtree.github.io/ |
| Dsuite | Malinsky et al.67 | https://github.com/millanek/Dsuite |
| PCANGSD | Meisner and Albrechtsen136 | https://github.com/Rosemeis/pcangsd |
| HyDe | Blischak et al.66 | v1.0.2; https://hybridizationdetection.readthedocs.io/ |
| degenotate | Mirchandani et al.137 | https://github.com/harvardinformatics/degenotate |
| Pixy | Korunes and Samuk138 | v1.2.7; https://pixy.readthedocs.io/en/latest/ |
| TWISST and genomics scripts | Martin and Van Belleghem139 | https://github.com/simonhmartin/twisst; https://github.com/simonhmartin/genomics_general |
| ancestryHMM | Corbett-Detig and Nielsen140 | https://github.com/russcd/Ancestry_HMM |
Highlights.
Hybrid seed inviability is widespread in the Mimulus guttatus species complex
Patterns of hybrid seed inviability are better explained by geography than phylogeny
Hybrid seed inviability may evolve selfishly via parental conflict
Introgression may have facilitated the movement of such selfish alleles among species
Acknowledgements
We are grateful to Christopher Bolick and Nathan Guzzo for plant care and assistance in the Yale Science Building greenhouses. The Coughlan lab provided helpful feedback on earlier drafts of this work. We also thank Patricia Vallejo Joseph and Quinn Evans for helping with seed counting and viability assessment. This work was supported by an NIH grant to J.M.C. (NIH R35GM150907), an NSF Postdoctoral Research Fellowship in Biology to M.E.F. (2305853), and an NIH grant to Daniel R. Matute that supported J.M.C. (NIH R35GM148244). P.F.S. and H.K.S. were supported by the Yale Graduate School. The Yale Center for Genome Analysis, which provided sequencing, is supported by the NIH NIGMS 1S10OD030363-01A1. We are grateful for access to Yosemite National Park for allowing seed collections under permit #YOSE-2023-SCI-0072.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Declaration of Interest
The authors declare no conflict of interest.
References
- 1.Coyne JA, and Orr HA (1989). Patterns of Speciation in Drosophila. Evolution 43, 362–381. 10.1111/j.1558-5646.1989.tb04233.x. [DOI] [PubMed] [Google Scholar]
- 2.Coyne JA, and Orr HA (1997). “Patterns of Speciation in Drosophila” Revisited. Evolution 51, 295–303. 10.1111/j.1558-5646.1997.tb02412.x. [DOI] [PubMed] [Google Scholar]
- 3.Coyne JA, and Orr AH (2004). Speciation (Sinauer Associates; ). [Google Scholar]
- 4.Barbash DA, Siino DF, Tarone AM, and Roote J (2003). A rapidly evolving MYB-related protein causes species isolation in Drosophila. Proc. Natl. Acad. Sci. U. S. A 100, 5302–5307. 10.1073/pnas.0836927100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Johnson NA (2010). Hybrid incompatibility genes: Remnants of a genomic battlefield? Trends Genet. 26, 317–325. 10.1016/j.tig.2010.04.005. [DOI] [PubMed] [Google Scholar]
- 6.Corbett-Detig RB, Zhou J, Clark AG, Hartl DL, and Ayroles JF (2013). Genetic incompatibilities are widespread within species. Nature 504, 135–137. 10.1038/nature12678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Crespi B, and Nosil P (2013). Conflictual speciation: species formation via genomic conflict. Trends Ecol. Evol 28, 48–57. 10.1016/j.tree.2012.08.015. [DOI] [PubMed] [Google Scholar]
- 8.Coughlan JM, and Matute DR (2020). The importance of intrinsic postzygotic barriers throughout the speciation process. Philos. Trans. R. Soc. Lond. B. Biol. Sci 375, 20190533. 10.1098/rstb.2019.0533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Charistianson SJ, Swallow JG, and Wilkinson GS (2005). Rapid evolution of postzygotic reproductive isolation in stalk-eyed flies. Evolution 59, 849–857. 10.1111/j.0014-3820.2005.tb01758.x. [DOI] [PubMed] [Google Scholar]
- 10.Briscoe Runquist RD, Chu E, Iverson JL, Kopp JC, and Moeller DA (2014). Rapid evolution of reproductive isolation between incipient outcrossing and selfing Clarkia species. Evol. Int. J. Org. Evol 68, 2885–2900. 10.1111/evo.12488. [DOI] [Google Scholar]
- 11.Schumer M, Cui R, Powell DL, Dresner R, Rosenthal GG, and Andolfatto P (2014). High-resolution mapping reveals hundreds of genetic incompatibilities in hybridizing fish species. eLife 3, e02535. 10.7554/eLife.02535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.İltaş Ö, Svitok M, Cornille A, Schmickl R, and Lafon Placette C (2021). Early evolution of reproductive isolation: A case of weak inbreeder/strong outbreeder leads to an intraspecific hybridization barrier in Arabidopsis lyrata. Evolution 75, 1466–1476. 10.1111/evo.14240. [DOI] [PubMed] [Google Scholar]
- 13.Gustafsson ALS, Gussarova G, Borgen L, Ikeda H, Antonelli A, Marie-Orleach L, Rieseberg LH, and Brochmann C (2022). Rapid evolution of post-zygotic reproductive isolation is widespread in Arctic plant lineages. Ann. Bot 129, 171–184. 10.1093/aob/mcab128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Fusca DD, Dall’Acqua MN, Sánchez-Ramírez S, and Cutter AD (2025). Phylogenomic timetree-calibrated speciation clocks for Caenorhabditis nematodes reveal slow but disproportionate accumulation of post-zygotic reproductive isolation. Preprint at bioRxiv, 10.1101/2025.06.18.660443 https://doi.org/10.1101/2025.06.18.660443. [DOI] [Google Scholar]
- 15.Wiley C, Qvarnström A, Andersson G, Borge T, and Sætre G-P (2009). Postzygotic isolation over multiple generations of hybrid descendants in a natural hybrid zone: how well do single-generation estimates reflect reproductive isolation? Evolution 63, 1731–1739. 10.1111/j.1558-5646.2009.00674.x. [DOI] [PubMed] [Google Scholar]
- 16.Bracewell RR, Pfrender ME, Mock KE, and Bentz BJ (2011). Cryptic postzygotic isolation in an eruptive species of bark beetle (Dendroctonus ponderosae). Evolution 65, 961–975. 10.1111/j.1558-5646.2010.01201.x. [DOI] [PubMed] [Google Scholar]
- 17.Moyle LC, Levine M, Stanton ML, and Wright JW (2012). Hybrid Sterility over Tens of Meters Between Ecotypes Adapted to Serpentine and Non-Serpentine Soils. Evol. Biol 39, 207–218. 10.1007/s11692-012-9180-9. [DOI] [Google Scholar]
- 18.Brekke TD, and Good JM (2014). Parent-of-origin growth effects and the evolution of hybrid inviability in dwarf hamsters. Evolution 68, 3134–3148. 10.1111/evo.12500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Barnard-Kubow KB, So N, and Galloway LF (2016). Cytonuclear incompatibility contributes to the early stages of speciation. Evolution 70, 2752–2766. 10.1111/evo.13075. [DOI] [PubMed] [Google Scholar]
- 20.Haig D, and Westoby M (1989). Parent-Specific Gene Expression and the Triploid Endosperm. Am. Nat 134, 147–155. [Google Scholar]
- 21.Haig D, and Westoby M (1991). Genomic imprinting in endosperm: its effect on seed development in crosses between species, and its implications for the evolution of apomixis. Philos. Trans. R. Soc. Lond. B. Biol. Sci 333, 1–13. 10.1098/RSTB.1991.0057. [DOI] [Google Scholar]
- 22.Moore T, and Haig D (1991). Genomic imprinting in mammalian development: a parental tug-of-war. Trends Genet. 7, 45–49. 10.1016/0168-9525(91)90230-N. [DOI] [PubMed] [Google Scholar]
- 23.Zeh DW, and Zeh JA (2000). Reproductive mode and speciation: the viviparity-driven conflict hypothesis. BioEssays 22, 938–946. 10.1002/1521-1878(200010)22:10<938::AID-BIES9>3.0.CO;2-9. [DOI] [PubMed] [Google Scholar]
- 24.Burt A, and Trivers R (2009). Genes in Conflict: The Biology of Selfish Genetic Elements (Harvard University Press; ). [Google Scholar]
- 25.Coughlan JM (2023). The role of conflict in shaping plant biodiversity. New Phytol. 10.1111/nph.19233. [DOI] [Google Scholar]
- 26.Soliman HK, and Coughlan JM (2024). United by conflict: Convergent signatures of parental conflict in angiosperms and placental mammals. J. Hered, esae009. 10.1093/jhered/esae009. [DOI] [Google Scholar]
- 27.Frayer ME, Robles NV, Rodríguez-Barrera MJ, Coughlan JM, and Schumer M (2025). The molecular evolutionary basis of species formation revisited. Trends Genet. 0. 10.1016/j.tig.2025.07.003. [DOI] [Google Scholar]
- 28.Trivers RL (1974). Parent-Offspring Conflict. Am. Zool 14, 249–264. 10.1093/icb/14.1.249. [DOI] [Google Scholar]
- 29.Haig D (1997). Parental antagonism, relatedness asymmetries, and genomic imprinting. Proc. R. Soc. B Biol. Sci 264, 1657–1662. [Google Scholar]
- 30.Brandvain Y, and Haig D (2018). Outbreeders pull harder in a parental tug-of-war. Proc. Natl. Acad. Sci 115, 11354–11356. 10.1073/pnas.1816187115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gutierrez-Marcos JF, Pennington PD, Costa LM, and Dickinson HG (2003). Imprinting in the endosperm: a possible role in preventing wide hybridization. Philos. Trans. R. Soc. B Biol. Sci 358, 1105–1111. 10.1098/rstb.2003.1292. [DOI] [Google Scholar]
- 32.Coughlan JM (2023). The role of hybrid seed inviability in angiosperm speciation. Am. J. Bot 110, e16135. 10.1002/ajb2.16135. [DOI] [Google Scholar]
- 33.Johnston SA, den Nijs TPM, Peloquin SJ, and Hanneman RE (1980). The significance of genic balance to endosperm development in interspecific crosses. Theor. Appl Genet 57, 5–9. 10.1007/BF00276002. [DOI] [PubMed] [Google Scholar]
- 34.Johnston SA, and Hanneman RE (1982). Manipulations of Endosperm Balance Number Overcome Crossing Barriers Between Diploid Solanum Species. Science 217, 446–448. 10.1126/SCIENCE.217.4558.446. [DOI] [PubMed] [Google Scholar]
- 35.Coughlan JM, Wilson Brown M, and Willis JH (2020). Patterns of Hybrid Seed Inviability in the Mimulus guttatus sp. Complex Reveal a Potential Role of Parental Conflict in Reproductive Isolation. Curr. Biol 30, 83–93.e5. 10.1016/j.cub.2019.11.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Grant V (1966). The Selective Origin of Incompatibility Barriers in the Plant Genus Gilia. Am. Nat 100, 99–118. 10.1086/282404. [DOI] [Google Scholar]
- 37.Rebernig CA, Lafon-Placette C, Hatorangan MR, Slotte T, and Köhler C (2015). Non-reciprocal Interspecies Hybridization Barriers in the Capsella Genus Are Established in the Endosperm. PLOS Genet. 11, e1005295. 10.1371/journal.pgen.1005295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Wolff P, Jiang H, Wang G, Santos-González J, and Köhler C (2015). Paternally expressed imprinted genes establish postzygotic hybridization barriers in Arabidopsis thaliana. eLife 4, e10074. 10.7554/eLife.10074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Florez-Rueda AM, Paris M, Schmidt A, Widmer A, Grossniklaus U, and Städler T (2016). Genomic Imprinting in the Endosperm Is Systematically Perturbed in Abortive Hybrid Tomato Seeds. Mol. Biol. Evol 33, 2935–2946. 10.1093/molbev/msw175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Oneal E, Willis JH, and Franks RG (2016). Disruption of endosperm development is a major cause of hybrid seed inviability between Mimulus guttatus and Mimulus nudatus. New Phytol. 210, 1107–1120. 10.1111/NPH.13842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lafon-Placette C, Johannessen IM, Hornslien KS, Ali MF, Bjerkan KN, Bramsiepe J, Glöckle BM, Rebernig CA, Brysting AK, Grini PE, et al. (2017). Endosperm-based hybridization barriers explain the pattern of gene flow between Arabidopsis lyrata and Arabidopsis arenosa in Central Europe. Proc. Natl. Acad. Sci. U. S. A 114, E1027–E1035. 10.1073/pnas.1615123114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lafon-Placette C, Hatorangan MR, Steige KA, Cornille A, Lascoux M, Slotte T, and Köhler C (2018). Paternally expressed imprinted genes associate with hybridization barriers in Capsella. Nat. Plants 4, 352–357. 10.1038/s41477-018-0161-6. [DOI] [PubMed] [Google Scholar]
- 43.Roth M, Florez-Rueda AM, and Städler T (2019). Differences in Effective Ploidy Drive Genome-Wide Endosperm Expression Polarization and Seed Failure in Wild Tomato Hybrids. Genetics 212, 141–152. 10.1534/genetics.119.302056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sandstedt GD, Wu CA, and Sweigart AL (2021). Evolution of multiple postzygotic barriers between species of the Mimulus tilingii complex. Evolution, 1–14. 10.1111/evo.14105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ostevik KL, Rifkin JL, Xia H, and Rausher MD (2021). Morning glory species co-occurrence is associated with asymmetrically decreased and cascading reproductive isolation. Evol. Lett 5, 75–85. 10.1002/evl3.205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Sandstedt GD, and Sweigart AL (2022). Developmental evidence for parental conflict in driving Mimulus species barriers. New Phytol. 236, 1545–1557. 10.1111/nph.18438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Butel N, Qiu Y, Xu W, Santos-González J, and Köhler C (2024). Parental conflict driven regulation of endosperm cellularization by a family of Auxin Response Factors. Nat. Plants 10, 1018–1026. 10.1038/s41477-024-01706-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Roth M, Florez-Rueda AM, Griesser S, Paris M, and Städler T (2018). Incidence and developmental timing of endosperm failure in post-zygotic isolation between wild tomato lineages. Ann. Bot 121, 107–118. 10.1093/aob/mcx133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Taylor SA, and Larson EL (2019). Insights from genomes into the evolutionary importance and prevalence of hybridization in nature. Nat. Ecol. Evol 3, 170–177. 10.1038/s41559-018-0777-y. [DOI] [PubMed] [Google Scholar]
- 50.Dagilis AJ, Peede D, Coughlan JM, Jofre GI, D’Agostino ERR, Mavengere H, Tate AD, and Matute DR (2022). A need for standardized reporting of introgression: Insights from studies across eukaryotes. Evol. Lett 6, 344–357. 10.1002/evl3.294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Long Z, and Rieseberg LH (2024). Documenting homoploid hybrid speciation. Mol. Ecol 00, e17412. 10.1111/mec.17412. [DOI] [Google Scholar]
- 52.Rosser N, Seixas F, Queste LM, Cama B, Mori-Pezo R, Kryvokhyzha D, Nelson M, Waite-Hudson R, Goringe M, Costa M, et al. (2024). Hybrid speciation driven by multilocus introgression of ecological traits. Nature 628, 811–817. 10.1038/s41586-024-07263-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Moran BM, Payne CY, Powell DL, Iverson ENK, Donny AE, Banerjee SM, Langdon QK, Gunn TR, Rodriguez-Soto RA, Madero A, et al. (2024). A lethal mitonuclear incompatibility in complex I of natural hybrids. Nature, 1–9. 10.1038/s41586-023-06895-8. [DOI] [Google Scholar]
- 54.Aguillon SM, Haase Cox SK, Langdon QK, Gunn TR, Baczenas JJ, Banerjee SM, Donny AE, Moran BM, Fascinetto-Zago P, Gutiérrez-Rodríguez C, et al. (2025). Pervasive gene flow despite strong and varied reproductive barriers in swordtails. Nat. Ecol. Evol 9, 867–878. 10.1038/s41559-025-02669-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Meiklejohn CD, Landeen EL, Gordon KE, Rzatkiewicz T, Kingan SB, Geneva AJ, Vedanayagam JP, Muirhead CA, Garrigan D, Stern DL, et al. (2018). Gene flow mediates the role of sex chromosome meiotic drive during complex speciation. eLife 7, e35468. 10.7554/eLife.35468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wang H, Planche L, Shchur V, and Nielsen R (2024). Selfing Promotes Spread and Introgression of Segregation Distorters in Hermaphroditic Plants. Mol. Biol. Evol 41, msae132. 10.1093/molbev/msae132. [DOI] [Google Scholar]
- 57.Svedberg J, Vogan AA, Rhoades NA, Sarmarajeewa D, Jacobson DJ, Lascoux M, Hammond TM, and Johannesson H (2021). An introgressed gene causes meiotic drive in Neurospora sitophila. Proc. Natl. Acad. Sci 118, e2026605118. 10.1073/pnas.2026605118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vickery RK (1978). Case Studies in the Evolution of Species Complexes in Mimulus. Evol. Biol 11. 10.1007/978-1-4615-6956-5_7. [DOI] [Google Scholar]
- 59.Vickery RKJ (1974). Crossing barriers in the yellow monkey flowers of the genus Mimulus (Scrophulariceae). Genet Lect. [Google Scholar]
- 60.Twyford AD, and Friedman J (2015). Adaptive divergence in the monkey flower Mimulus guttatus is maintained by a chromosomal inversion. Evol. Int. J. Org. Evol 69, 1476–1486. 10.1111/evo.12663. [DOI] [Google Scholar]
- 61.Haig D (2000). The Kinship Theory of Genomic Imprinting. Annu. Rev. Ecol. Syst 31, 9–32. 10.1146/annurev.ecolsys.31.1.9. [DOI] [Google Scholar]
- 62.Brandvain Y, Kenney AM, Flagel L, Coop G, and Sweigart AL (2014). Speciation and Introgression between Mimulus nasutus and Mimulus guttatus. PLoS Genet. 10, e1004410. 10.1371/journal.pgen.1004410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ivey CT, Habecker NM, Bergmann JP, Ewald J, Frayer ME, and Coughlan JM (2023). Weak reproductive isolation and extensive gene flow between Mimulus glaucescens and M. guttatus in northern California. Evolution 77, 1245–1261. 10.1093/evolut/qpad044. [DOI] [PubMed] [Google Scholar]
- 64.Mantel SJ, and Sweigart AL (2024). Postzygotic barriers persist despite ongoing introgression in hybridizing Mimulus species. Mol. Ecol 33, e17261. 10.1111/mec.17261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Farnitano MC, Karoly K, and Sweigart AL (2025). Fluctuating reproductive isolation and stable ancestry structure in a fine-scaled mosaic of hybridizing Mimulus monkeyflowers. PLOS Genet. 21, e1011624. 10.1371/journal.pgen.1011624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Blischak PD, Chifman J, Wolfe AD, and Kubatko LS (2018). HyDe: A Python Package for Genome-Scale Hybridization Detection. Syst. Biol 67, 821–829. 10.1093/sysbio/syy023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Malinsky M, Matschiner M, and Svardal H (2021). Dsuite - Fast D-statistics and related admixture evidence from VCF files. Mol. Ecol. Resour 21, 584–595. 10.1111/1755-0998.13265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lovell JT, Walstead R, Lawrence A, Stark-Dykema E, Farnitano MC, Harder A, Brůna T, Barry K, Goodstein D, Jenkins J, et al. (2025). Comparative Analyses of Four Reference Genomes Reveal Exceptional Diversity and Weak Linked Selection in the Yellow Monkeyflower (Mimulus guttatus) Complex. Mol. Ecol. Resour, e70012. 10.1111/1755-0998.70012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Garner AG, Kenney AM, Fishman L, and Sweigart AL (2016). Genetic loci with parent-of-origin effects cause hybrid seed lethality in crosses between Mimulus species. New Phytol. 211, 319–331. 10.1111/nph.13897. [DOI] [PubMed] [Google Scholar]
- 70.Tucci A, Flores-Vergara MA, and Franks RG (2024). Machine Learning Inference of Gene Regulatory Networks in Developing Mimulus Seeds. Plants 13, 3297. 10.3390/plants13233297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Crouch ML, Tenbarge KM, Simon AE, and Ferl R (1983). cDNA clones for Brassica napus seed storage proteins: evidence from nucleotide sequence analysis that both subunits of napin are cleaved from a precursor polypeptide. J. Mol. Appl. Genet 2, 273–283. [PubMed] [Google Scholar]
- 72.Bentsink L, Jowett J, Hanhart CJ, and Koornneef M (2006). Cloning of DOG1, a quantitative trait locus controlling seed dormancy in Arabidopsis. Proc. Natl. Acad. Sci 103, 17042–17047. 10.1073/pnas.0607877103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Luo M, Bilodeau P, Koltunow A, Dennis ES, Peacock WJ, and Chaudhury AM (1999). Genes controlling fertilization-independent seed development in Arabidopsis thaliana. Proc. Natl. Acad. Sci 96, 296–301. 10.1073/pnas.96.1.296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Luo M, Bilodeau P, Dennis ES, Peacock WJ, and Chaudhury A (2000). Expression and parent-of-origin effects for FIS2, MEA, and FIE in the endosperm and embryo of developing Arabidopsis seeds. Proc. Natl. Acad. Sci. U. S. A 97, 10637–10642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Köhler C, Hennig L, Bouveret R, Gheyselinck J, Grossniklaus U, and Gruissem W (2003). Arabidopsis MSI1 is a component of the MEA/FIE Polycomb group complex and required for seed development. EMBO J. 22, 4804–4814. 10.1093/emboj/cdg444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Köhler C, Dziasek K, and Del Toro-De León G (2021). Postzygotic reproductive isolation established in the endosperm: mechanisms, drivers and relevance. Philos. Trans. R. Soc. B Biol. Sci 376, 20200118. 10.1098/rstb.2020.0118. [DOI] [Google Scholar]
- 77.Batista RA, and Köhler C (2020). Genomic imprinting in plants—revisiting existing models. Genes Dev. 34, 24–36. 10.1101/gad.332924.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Brandvain Y, and Haig D (2005). Divergent Mating Systems and Parental Conflict as a Barrier to Hybridization in Flowering Plants. Am. Nat 10.1086/432036. [DOI] [Google Scholar]
- 79.Brandvain Y, Van Cleve J, Úbeda F, and Wilkins JF (2011). Demography, kinship, and the evolving theory of genomic imprinting. Trends Genet. 27, 251–257. 10.1016/j.tig.2011.04.005. [DOI] [PubMed] [Google Scholar]
- 80.Tucci V, Isles AR, Kelsey G, Ferguson-Smith AC, Tucci V, Bartolomei MS, Benvenisty N, Bourc’his D, Charalambous M, Dulac C, et al. (2019). Genomic Imprinting and Physiological Processes in Mammals. Cell 176, 952–965. 10.1016/j.cell.2019.01.043. [DOI] [PubMed] [Google Scholar]
- 81.Mozgova I, Köhler C, and Hennig L (2015). Keeping the gate closed: functions of the polycomb repressive complex PRC2 in development. Plant J. 83, 121–132. 10.1111/tpj.12828. [DOI] [PubMed] [Google Scholar]
- 82.Long T. a. F. (2005). The influence of mating system on the intensity of parent–offspring conflict in primates. J. Evol. Biol 18, 509–515. 10.1111/j.1420-9101.2005.00888.x. [DOI] [PubMed] [Google Scholar]
- 83.Schrader M, and Travis J (2008). Testing the Viviparity-Driven-Conflict Hypothesis: Parent-Offspring Conflict and the Evolution of Reproductive Isolation in a Poeciliid Fish. Am. Nat 172, 806–817. 10.1086/592999. [DOI] [PubMed] [Google Scholar]
- 84.Chuong EB, Tong W, and Hoekstra HE (2010). Maternal–Fetal Conflict: Rapidly Evolving Proteins in the Rodent Placenta. Mol. Biol. Evol 27, 1221–1225. 10.1093/molbev/msq034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Babak T, DeVeale B, Tsang EK, Zhou Y, Li X, Smith KS, Kukurba KR, Zhang R, Li JB, van der Kooy D, et al. (2015). Genetic conflict reflected in tissue-specific maps of genomic imprinting in human and mouse. Nat. Genet 47, 544–549. 10.1038/ng.3274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Cailleau A, Grimanelli D, Blanchet E, Cheptou P-O, and Lenormand T (2018). Dividing a Maternal Pie among Half-Sibs: Genetic Conflicts and the Control of Resource Allocation to Seeds in Maize. Am. Nat 192, 577–592. 10.1086/699653. [DOI] [PubMed] [Google Scholar]
- 87.Raunsgard A, Opedal ØH, Ekrem RK, Wright J, Bolstad GH, Armbruster WS, and Pélabon C (2018). Intersexual conflict over seed size is stronger in more outcrossed populations of a mixed-mating plant. Proc. Natl. Acad. Sci 115, 11561–11566. 10.1073/pnas.1810979115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Petrén H, Thosteman H, Stift M, Toräng P, Ågren J, and Friberg M (2023). Differences in mating system and predicted parental conflict affect post-pollination reproductive isolation in a flowering plant. Evolution 77, 1019–1030. 10.1093/evolut/qpad016. [DOI] [PubMed] [Google Scholar]
- 89.Gutiérrez-Marcos JF, Costa LM, Biderre-Petit C, Khbaya B, O’Sullivan DM, Wormald M, Perez P, and Dickinson HG (2004). maternally expressed gene1 Is a novel maize endosperm transfer cell-specific gene with a maternal parent-of-origin pattern of expression. Plant Cell 16, 1288–1301. 10.1105/tpc.019778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Feil R, and Berger F (2007). Convergent evolution of genomic imprinting in plants and mammals. Trends Genet. 23, 192–199. 10.1016/j.tig.2007.02.004. [DOI] [PubMed] [Google Scholar]
- 91.Vrana PB (2007). Genomic Imprinting as a Mechanism of Reproductive Isolation in Mammals. J. Mammal 88, 5–23. 10.1644/06-MAMM-S-013R1.1. [DOI] [Google Scholar]
- 92.Arévalo L, and Campbell P (2020). Placental effects on the maternal brain revealed by disrupted placental gene expression in mouse hybrids. Proc. R. Soc. B Biol. Sci 287, 20192563. 10.1098/rspb.2019.2563. [DOI] [Google Scholar]
- 93.Brekke TD, Moore EC, Campbell-Staton SC, Callahan CM, Cheviron ZA, and Good JM (2021). X chromosome-dependent disruption of placental regulatory networks in hybrid dwarf hamsters. Genetics 218. 10.1093/genetics/iyab043. [DOI] [Google Scholar]
- 94.Florez-Rueda AM, Fiscalini F, Roth M, Grossniklaus U, and Städler T (2021). Endosperm and Seed Transcriptomes Reveal Possible Roles for Small RNA Pathways in Wild Tomato Hybrid Seed Failure. Genome Biol. Evol 13, evab107. 10.1093/gbe/evab107. [DOI] [Google Scholar]
- 95.Sicard A, Kappel C, Josephs EB, Lee YW, Marona C, Stinchcombe JR, Wright SI, and Lenhard M (2015). Divergent sorting of a balanced ancestral polymorphism underlies the establishment of gene-flow barriers in Capsella. Nat. Commun 6, 7960. 10.1038/ncomms8960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Larson EL, Vanderpool D, Sarver BAJ, Callahan C, Keeble S, Provencio LL, Kessler MD, Stewart V, Nordquist E, Dean MD, et al. (2018). The Evolution of Polymorphic Hybrid Incompatibilities in House Mice. Genetics 209, 845–859. 10.1534/genetics.118.300840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Zuellig MP, and Sweigart AL (2018). A two-locus hybrid incompatibility is widespread, polymorphic, and active in natural populations of Mimulus *. Evolution 72, 2394–2405. 10.1111/evo.13596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Calvo-Baltanás V, Wang J, and Chae E (2021). Hybrid Incompatibility of the Plant Immune System: An Opposite Force to Heterosis Equilibrating Hybrid Performances. Front. Plant Sci 11. 10.3389/fpls.2020.576796. [DOI] [Google Scholar]
- 99.Cutter AD (2012). The polymorphic prelude to Bateson–Dobzhansky–Muller incompatibilities. Trends Ecol. Evol 27, 209–218. 10.1016/j.tree.2011.11.004. [DOI] [PubMed] [Google Scholar]
- 100.Bank C, Bürger R, and Hermisson J (2012). The Limits to Parapatric Speciation: Dobzhansky–Muller Incompatibilities in a Continent–Island Model. Genetics 191, 845–863. 10.1534/genetics.111.137513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Lindtke D, and Buerkle CA (2015). The genetic architecture of hybrid incompatibilities and their effect on barriers to introgression in secondary contact. Evolution 69, 1987–2004. 10.1111/evo.12725. [DOI] [PubMed] [Google Scholar]
- 102.Xiong T, and Mallet J (2022). On the impermanence of species: The collapse of genetic incompatibilities in hybridizing populations. Evolution 76, 2498–2512. 10.1111/evo.14626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Werren JH (2011). Selfish genetic elements, genetic conflict, and evolutionary innovation. Proc. Natl. Acad. Sci. U. S. A 108, 10863–10870. 10.1073/pnas.1102343108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Hoffmann AA, Turelli M, and Harshman LG (1990). Factors affecting the distribution of cytoplasmic incompatibility in Drosophila simulans. Genetics 126, 933–948. 10.1093/genetics/126.4.933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Raychoudhury R, Baldo L, Oliveira DCSG, and Werren JH (2009). Modes of Acquisition of Wolbachia: Horizontal Transfer, Hybrid Introgression, and Codivergence in the Nasonia Species Complex. Evolution 63, 165–183. 10.1111/j.1558-5646.2008.00533.x. [DOI] [PubMed] [Google Scholar]
- 106.Turelli M, Cooper BS, Richardson KM, Ginsberg PS, Peckenpaugh B, Antelope CX, Kim KJ, May MR, Abrieux A, Wilson DA, et al. (2018). Rapid Global Spread of wRi-like Wolbachia across Multiple Drosophila. Curr. Biol. CB 28, 963–971.e8. 10.1016/j.cub.2018.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Whitener MR, Mangelson H, and Sweigart AL (2024). Patterns of genomic variation reveal a single evolutionary origin of the wild allotetraploid Mimulus sookensis. Evolution 78, 1464–1477. 10.1093/evolut/qpae079. [DOI] [PubMed] [Google Scholar]
- 108.Ferris KG, Sexton JP, and Willis JH (2014). Speciation on a local geographic scale: the evolution of a rare rock outcrop specialist in Mimulus. Philos. Trans. R. Soc. B Biol. Sci 369, 20140001. 10.1098/rstb.2014.0001. [DOI] [Google Scholar]
- 109.Ferris KG, Barnett LL, Blackman BK, and Willis JH (2017). The genetic architecture of local adaptation and reproductive isolation in sympatry within the Mimulus guttatus species complex. Mol. Ecol 26, 208–224. 10.1111/mec.13763. [DOI] [PubMed] [Google Scholar]
- 110.Coughlan JM, Brown MW, and Willis JH (2021). The genetic architecture and evolution of life-history divergence among perennials in the Mimulus guttatus species complex. Proc. R. Soc. B Biol. Sci 288, 20210077. 10.1098/rspb.2021.0077. [DOI] [Google Scholar]
- 111.Weng Y-M, Kavanaugh DH, and Schoville SD (2021). Drainage basins serve as multiple glacial refugia for alpine habitats in the Sierra Nevada Mountains, California. Mol. Ecol 30, 826–843. 10.1111/mec.15762. [DOI] [PubMed] [Google Scholar]
- 112.Twyford AD, Wong ELY, and Friedman J (2020). Multi-level patterns of genetic structure and isolation by distance in the widespread plant Mimulus guttatus. Heredity 125, 227–239. 10.1038/s41437-020-0335-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Johnson DM (1985). Atlas of Oregon Lakes (Oregon State University Press; ). [Google Scholar]
- 114.Owens GL, and Samuk K (2020). Adaptive introgression during environmental change can weaken reproductive isolation. Nat. Clim. Change 10, 58–62. 10.1038/s41558-019-0628-0. [DOI] [Google Scholar]
- 115.Otto SP, and Whitton J (2000). Polyploid incidence and evolution. Annu. Rev. Genet 34, 401–437. 10.1146/annurev.genet.34.1.401. [DOI] [PubMed] [Google Scholar]
- 116.Lamichhaney S, Han F, Webster MT, Andersson L, Grant BR, and Grant PR (2018). Rapid hybrid speciation in Darwin’s finches. Science 359, 224–228. 10.1126/science.aao4593. [DOI] [PubMed] [Google Scholar]
- 117.Widen SA, Bes IC, Koreshova A, Pliota P, Krogull D, and Burga A (2023). Virus-like transposons cross the species barrier and drive the evolution of genetic incompatibilities. Science 380, eade0705. 10.1126/science.ade0705. [DOI] [Google Scholar]
- 118.Coughlan JM (2023). Indirect Effects of Parental Conflict on Conspecific Offspring Development. Am. Nat 201, 154–162. 10.1086/721919. [DOI] [PubMed] [Google Scholar]
- 119.Nelson TC, Stathos AM, Vanderpool DD, Finseth FR, Yuan Y, and Fishman L (2021). Ancient and recent introgression shape the evolutionary history of pollinator adaptation and speciation in a model monkeyflower radiation (Mimulus section Erythranthe). PLOS Genet. 17, e1009095. 10.1371/journal.pgen.1009095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Grant AL (1924). A Monograph of the Genus Mimulus. Ann. Mo. Bot. Gard 11, 99–388. 10.2307/2394024. [DOI] [Google Scholar]
- 121.Wu CA, Lowry DB, Cooley AM, Wright KM, Lee YW, and Willis JH (2008). Mimulus is an emerging model system for the integration of ecological and genomic studies. Heredity 100, 220–230. 10.1038/sj.hdy.6801018. [DOI] [PubMed] [Google Scholar]
- 122.Twyford AD, Streisfeld MA, Lowry DB, and Friedman J (2015). Genomic studies on the nature of species: adaptation and speciation in Mimulus. Mol. Ecol 24, 2601–2609. 10.1111/mec.13190. [DOI] [PubMed] [Google Scholar]
- 123.Grossenbacher DL, Veloz SD, and Sexton JP (2014). Niche and range size patterns suggest that speciation begins in small, ecologically diverged populations in North American monkeyflowers (Mimulus spp.). Evolution 68, 1270–1280. 10.1111/evo.12355. [DOI] [PubMed] [Google Scholar]
- 124.Schneider CA, Rasband WS, and Eliceiri KW (2012). NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675. 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Chen S, Zhou Y, Chen Y, and Gu J (2018). fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884–i890. 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Li H, and Durbin R (2009). Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinforma. Oxf. Engl 25, 1754–1760. 10.1093/bioinformatics/btp324. [DOI] [Google Scholar]
- 127.Li H (2011). A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993. 10.1093/bioinformatics/btr509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V, Pollard MO, Whitwham A, Keane T, McCarthy SA, Davies RM, et al. (2021). Twelve years of SAMtools and BCFtools. GigaScience 10, giab008. 10.1093/gigascience/giab008. [DOI] [Google Scholar]
- 129.Bates D, Mächler M, Bolker B, and Walker S (2015). Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw 67, 1–48. 10.18637/jss.v067.i01. [DOI] [Google Scholar]
- 130.Fox J, and Weisberg S (2019). An R Companion to Applied Regression Third. (Sage; ). [Google Scholar]
- 131.Lenth RV (2025). emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.11.2–00002.
- 132.Paradis E, and Schliep K (2019). ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528. 10.1093/bioinformatics/bty633. [DOI] [PubMed] [Google Scholar]
- 133.Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, and Chen W-M (2010). Robust relationship inference in genome-wide association studies. Bioinformatics 26, 2867–2873. 10.1093/bioinformatics/btq559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, and Lanfear R (2020). IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. Mol. Biol. Evol 37, 1530–1534. 10.1093/molbev/msaa015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, and Jermiin LS (2017). ModelFinder: fast model selection for accurate phylogenetic estimates. Nat. Methods 14, 587–589. 10.1038/nmeth.4285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Meisner J, and Albrechtsen A (2018). Inferring Population Structure and Admixture Proportions in Low-Depth NGS Data. Genetics 210, 719–731. 10.1534/genetics.118.301336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Mirchandani CD, Shultz AJ, Thomas GWC, Smith SJ, Baylis M, Arnold B, Corbett-Detig R, Enbody E, and Sackton TB (2024). A Fast, Reproducible, High-throughput Variant Calling Workflow for Population Genomics. Mol. Biol. Evol 41, msad270. 10.1093/molbev/msad270. [DOI] [Google Scholar]
- 138.Korunes KL, and Samuk K (2021). pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data. Mol. Ecol. Resour 21, 1359–1368. 10.1111/1755-0998.13326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Martin SH, and Van Belleghem SM (2017). Exploring Evolutionary Relationships Across the Genome Using Topology Weighting. Genetics 206, 429–438. 10.1534/genetics.116.194720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Corbett-Detig R, and Nielsen R (2017). A Hidden Markov Model Approach for Simultaneously Estimating Local Ancestry and Admixture Time Using Next Generation Sequence Data in Samples of Arbitrary Ploidy. PLOS Genet. 13, e1006529. 10.1371/journal.pgen.1006529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Mower JP, Case AL, Floro ER, and Willis JH (2012). Evidence against Equimolarity of Large Repeat Arrangements and a Predominant Master Circle Structure of the Mitochondrial Genome from a Monkeyflower (Mimulus guttatus) Lineage with Cryptic CMS. Genome Biol. Evol 4, 670–686. 10.1093/gbe/evs042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Hellsten U, Wright KM, Jenkins J, Shu S, Yuan Y, Wessler SR, Schmutz J, Willis JH, and Rokhsar DS (2013). Fine-scale variation in meiotic recombination in Mimulus inferred from population shotgun sequencing. Proc. Natl. Acad. Sci 110, 19478–19482. 10.1073/pnas.1319032110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Puzey JR, Willis JH, and Kelly JK (2017). Population structure and local selection yield high genomic variation in Mimulus guttatus. Mol. Ecol 26, 519–535. 10.1111/mec.13922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Colicchio JM, Hamm LN, Verdonk HE, Kooyers NJ, and Blackman BK (2021). Adaptive and nonadaptive causes of heterogeneity in genetic differentiation across the Mimulus guttatus genome. Mol. Ecol 30, 6486–6507. 10.1111/mec.16087. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1. Accessions used for crossings and genomic analyses, Related to STAR Methods
Data Availability Statement
Sequence data have been deposited at the NCBI Sequence Read Archive as BioProject PRJNA1333461 and are publicly available as of the date of publication.
Data from crosses have been deposited at Dryad (https://doi.org/10.5061/dryad.xsj3tx9tr) and are publicly available as of the date of publication.
All original code has been deposited at Zenodo (https://doi.org/10.5281/zenodo.18556668) and is publicly available as of the date of publication.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
