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. 2020 Dec 21;217(2):iyaa025. doi: 10.1093/genetics/iyaa025

The rates of introgression and barriers to genetic exchange between hybridizing species: sex chromosomes vs autosomes

Christelle Fraïsse 1,2,, Himani Sachdeva 1,3
Editor: B Charlesworth
PMCID: PMC8045713  PMID: 33724409

Abstract

Interspecific crossing experiments have shown that sex chromosomes play a major role in reproductive isolation between many pairs of species. However, their ability to act as reproductive barriers, which hamper interspecific genetic exchange, has rarely been evaluated quantitatively compared to Autosomes. This genome-wide limitation of gene flow is essential for understanding the complete separation of species, and thus speciation. Here, we develop a mainland-island model of secondary contact between hybridizing species of an XY (or ZW) sexual system. We obtain theoretical predictions for the frequency of introgressed alleles, and the strength of the barrier to neutral gene flow for the two types of chromosomes carrying multiple interspecific barrier loci. Theoretical predictions are obtained for scenarios where introgressed alleles are rare. We show that the same analytical expressions apply for sex chromosomes and autosomes, but with different sex-averaged effective parameters. The specific features of sex chromosomes (hemizygosity and absence of recombination in the heterogametic sex) lead to reduced levels of introgression on the X (or Z) compared to autosomes. This effect can be enhanced by certain types of sex-biased forces, but it remains overall small (except when alleles causing incompatibilities are recessive). We discuss these predictions in the light of empirical data comprising model-based tests of introgression and cline surveys in various biological systems.

Keywords: speciation, gene flow, sex chromosomes, modeling

Introduction

Speciation is a process of gradual accumulation of reproductive barriers in the genome, ultimately leading to a cessation of gene flow between groups of individuals forming distinct biological species (Dobzhansky 1937). The extent to which barrier loci reduce interspecific gene flow is a central factor in the study of speciation, as it allows the strength of reproductive isolation to be quantified as populations diverge (see Ravinet et al. 2017 for a review). Another major advance in the genetics of speciation has been the discovery, by interspecific crossing experiments, of two extremely robust patterns: (i) “Haldane’s rule” (Haldane 1922; Schilthuizen et al. 2011), i.e., in species with sex-specific reduced fitness of F1 hybrids, the affected sex is generally heterogametic; and (ii) the “large-X/Z effect” (Dobzhansky 1936), i.e., the disproportionate density on the X or the Z chromosome of barrier loci causing hybrid sterility or inviability. These “rules of speciation” (Coyne and Orr 1989) suggest the existence of universal mechanisms associated with sex chromosomes that may promote speciation. However, these two lines of research (quantifying the barrier strength vs characterizing the genetic basis of speciation) have, for the most part, been conducted independently. In particular, there is room for improvement in the empirical estimation of the barrier to interspecific gene flow due to specific chromosomes, as this information is mainly available only for model species (Payseur et al. 2018). In consequence, the ability of sex chromosomes to act as barriers that impede interspecies gene exchange has been little evaluated quantitatively or in a systematic way.

The recent explosion of genomic data in the field of speciation has provided empirical evidence across a diversity of species with different sex chromosome systems (i.e., XY under male heterogamety, and ZW under female heterogamety, Bachtrog et al. 2014). Indeed, the presence of reproductive barriers along the genome reduces interspecific gene flow around each barrier locus, leading to a local increase of interspecific differentiation relative to the rest of the genome. This effect has been widely used to scan genomes for regions that are abnormally differentiated between species, in search of loci involved in speciation. These studies collectively show a systematically stronger differentiation of sex chromosomes (X or Z) compared to the autosomes (Presgraves 2018), even after correcting for the different effective population sizes of sex chromosomes and autosomes. This indicates that sex chromosomes may play a leading role in the isolation of nascent species. However, caution must be exercised when interpreting this pattern, as measures of relative differentiation (such as FST; Weir and Cockerham 1984) are sensitive to the level of diversity within species, and whether or not gene flow occurred during species divergence (Charlesworth 1998; Cruickshank and Hahn 2014). Complementary approaches addressing this limitation are based on simple summary statistics of absolute divergence (such as DXY;  Nei and Li 1979), cline analyses (Barton and Hewitt 1985) and speciation model inferences (Sousa and Hey 2013), but they do not reveal clear-cut patterns (see Discussion and Table 3).

Table 3.

 Studies testing whether the sex chromosome is a stronger barrier to gene flow than autosomes

XY sexual systems Inference
INTROG A LOCUS X LOCUS
INSECTS
Orthoptera
 Gryllus pennsylvanicus/G. firmus (1)a X < A Genome-wide Genome-wide
Diptera
 Drosophila yakuba/D. santomea (2)b X < A Genome-wide Genome-wide
 Drosophila melanogaster EUR/AFR (3)c XA Genome-wide Genome-wide
 Drosophila melanogaster/D. simulans (4)c XA Genome-wide Genome-wide
 Drosophila subquinaria/D. recens (5)c XA 19 7
 Drosophila persimilis/D. pseudoobscura (6)c XA Genome-wide Genome-wide
 Drosophila subobscura/D. madeirensis (7)c XA 16 3
 Drosophila athabasca WEST/EAST (8)c XA Genome-wide Genome-wide
MAMMALS
Primates
 Homo sapiens/H. neanderthalensis (9)b X < A Genome-wide Genome-wide
 Alouatta palliata/A. nigra (10)a XA Genome-wide Genome-wide
Rodentia
 Mus m. musculus/Mus m. domesticus (11)a X < A Genome-wide Genome-wide
 Mus m. domesticus/Mus spretus (12)b X < A Genome-wide Genome-wide
Lagomorpha
 Oryctolagus c. cuniculus/O. c. algirus (13)a X < A Genome-wide Genome-wide

Three main theories have been proposed to explain why sex chromosomes might act as stronger interspecies barriers than autosomes. First, sex chromosomes may accumulate interspecific barrier loci faster than autosomes. The faster-X theory (Charlesworth et al. 1987) predicts that this would be the case if incompatible loci first appear as recessive or partially recessive beneficial mutations (or under a much wider range of dominance levels, if the effective population size for the X relative to autosomes is high enough; Vicoso and Charlesworth 2009). This is because the hemizygosity of the sex chromosome, i.e., the fact that the heterogametic sex has only one copy of the X/Z, makes selection more efficient by unmasking sex-linked recessive mutations. Most theoretical and empirical work so far deals with the faster-X theory; however, empirical evidence in favor of greater efficacy of selection on the sex chromosome is mixed (Meisel and Connallon 2013; but see Charlesworth et al. 2018, who provide fairly solid evidence for adaptive faster-X effects in Drosophila). Instead, other studies have suggested that the accumulation of slightly deleterious mutations may be a major cause of faster-X/Z, especially in birds, where the variance of male reproductive success strongly decreases the effective population size of the sex chromosome relative to autosomes, increasing genetic drift (Mank et al. 2010).

Another theory, which was initially dismissed but has recently returned to the limelight, is that barrier loci may occur more readily on the sex chromosomes, because the absence of recombination between the X and the Y (or the Z and the W) makes them more susceptible to segregation conflicts in the heterogametic sex (e.g., Bachtrog et al. 2019). Since segregation distorters and their suppressors co-evolve within populations independently, changes in these interactions in hybrids may cause incompatibilities (Frank 1991; Hurst and Pomiankowski 1991; and see Phadnis and Orr 2009, for an example of a X-linked meiotic driver associated with hybrid sterility in Drosophila). This mechanism thus contrasts with the classical view that interspecies incompatibilities first appear within species as beneficial mutations (Presgraves 2010).

The last theory does not require that sex chromosomes harbor more barrier loci than autosomes, but simply that they are more exposed to selection, such that sex-linked incompatibilities cause more deleterious effects (than autosomal incompatibilities) in hybrids. This process has been formalized by the dominance theory (Turelli and Orr 1995, 2000), which is also based on the hemizygosity of the sex chromosome and assumes that most incompatible mutations act recessively in hybrids. However, it has been experimentally tested (and validated) almost exclusively in Drosophila (e.g., Masly and Presgraves 2007; Cattani and Presgraves 2012; Llopart et al. 2018, but see Matsubara et al. 2015 for a study in rice). Assessing its generality remains difficult, due to the experimental challenge of measuring the dominance of mutations.

The present work aims to understand the role of the X or Z chromosome (note that we do not consider the Y or W) in the formation of new biological species by focusing on the impact of sex-linked reproductive barriers on the reduction of gene flow between hybridizing species, rather than on their rate of establishment during species divergence. To do this, we extend the theoretical framework of Barton and Bengtsson who modeled the introgression of incompatible autosomal genomic blocks between hybridizing species (Barton 1983), and quantified their effect on the effective migration rate at a linked neutral marker (Barton and Bengtsson 1986). With multiple barrier loci, Barton and Bengtsson showed that neutral gene flow is significantly reduced over most of the genome only if the number of loci involved in reproductive isolation is large enough that any neutral marker becomes closely linked to at least one barrier locus. While they showed that this result is little influenced by the position of the neutral marker along a given chromosome, the effect of being located on the sex chromosomes rather than on autosomes was not addressed.

Yet, for the above reasons, one may expect to see differences between the two types of chromosomes: in the heterogametic sex, the greater efficacy of selection against deleterious mutations and the lack of recombination over much of the X or Z are expected to reduce the rate of introgression of sex-linked neutral markers relative to autosomal ones, even when there is no difference between the number, density or selective effects of sex-linked and autosomal incompatibilities. Moreover, because sex chromosomes are involved in sex determination, they are inherited differently between males and females and thus spend different periods of time in each sex, making them sensitive to sex-specific evolutionary forces (Hedrick 2007), such as sex-biased migration, sex-biased selection, or achiasmy (the absence of recombination in the entire genome of the heterogametic sex, which causes the X/Z to have more recombination than the autosomes; e.g., see Betancourt et al. 2004). Since these evolutionary forces determine the intensity of the barrier to gene flow (Barton and Bengtsson 1986), their sex specificity must be taken into account in order to quantify the role of sex chromosomes in speciation. An additional complication comes from the phenomenon of dosage compensation that has been found in many species with a degenerated sex chromosome (Mank 2013). The degeneration of the Y (or the W) causes a dose difference between the sexes, so that sex-linked loci are transcribed half as much in the heterogametic sex. Dosage compensation then consists of restoring similar levels of the X (or Z) gene product in males and females. Among the diversity of mechanisms that have evolved (Gu and Walters 2017), some may lead to stronger selection against hybrids, and thus should enhance the ability of sex chromosomes to act as interspecific barriers.

To date, only a handful of theoretical studies have examined the role of sex chromosomes in speciation. The dominance theory (Turelli and Orr 1995, 2000) offered a simple explanation for the two “rules of speciation,” building upon the allopatric model of postzygotic isolation elaborated by Dobzhansky (1937) and Muller (1940). This seminal model involves deleterious epistasis between alleles at different loci (i.e., Dobzhansky–Muller incompatibilities, or DMIs). In a model of parapatry, Höllinger and Hermisson (2017) found that X-linked DMIs are more easily maintained in the presence of interspecies gene flow than autosomal DMIs. All these studies address the question of the origin, maintenance or accumulation of incompatibilities, but do not explicitly quantify their long-term effect as barriers to neutral gene flow. In fact, it may be that DMIs are generally ineffective at maintaining genome-wide differentiation in the face of gene flow (while they can create strong selection against F1 and F2 hybrids) as shown by simulations (Lindtke and Buerkle 2015).

In contrast, Muirhead and Presgraves (2016) modeled the effect of a locally deleterious mutation (either intrinsically incompatible with the local genome, or extrinsically incompatible with the local habitat) on gene flow at a linked neutral marker. Under a weak migration/strong selection regime, they showed that selection against incompatible mutations reduces the flow of neutral markers more strongly on the sex chromosomes than on autosomes, the effect being greater when mutations are recessive.

While all these studies are in line with a reduced introgression probability on the sex chromosomes relative to autosomes, they are limited to single/pairs of barrier loci, even though speciation is a complex, and probably multigenic, process. Thus, it is essential to develop more realistic models that account for the effects of multiple linked barrier loci. This can have important implications; for example, Barton (1983) showed that linkage between incompatible autosomal alleles, which governs the extent to which they act as a single unit of selection, is a key determinant of their level of introgression and the barrier to gene flow they induce. A multilocus theory would thus allow us to better understand the differences between sex-linked and autosomal interspecies barriers, and the causes underlying these differences, such as the role of recombination. In addition, these models provide predictions of introgression patterns along chromosomes, and thus are critical to capture the signature of polygenic barriers in genomic data.

Here, we address this gap by extending previous multilocus predictions (Barton 1983; Barton and Bengtsson 1986) to the case of sex chromosomes. We introduce a model where chromosomes contain multiple interspecies incompatibilities, and quantify (i) their frequency on sex chromosomes relative to autosomes in populations under migration–selection balance and (ii) the effect of selection against these incompatibilities on the neutral gene flow between two hybridizing species. Our aim is to understand (1) to what extent the particularities of the sex chromosomes: hemizygosity and lack of recombination on the X/Z in the heterogametic sex (we ignore pseudoautosomal regions) affect their ability to hinder interspecific gene flow, and (2) the influence of sex-biased processes and dosage compensation in different sexual systems (XY and ZW). Our model is general in the sense that it applies to both male heterogamety (males are XY and females are XX) and female heterogamety (females are ZW and males are ZZ), and it allows us to address the effects of various kinds of sex-specificity by introducing sex-specific parameters. Unless otherwise stated, we assume an XY system, as the results apply to ZW systems by interchanging males and females.

Model and methods

We consider a population with males and females. The homogametic sex carries two copies of the sex chromosome (X or Z) and two copies of each autosome; the heterogametic sex carries one copy of the sex chromosome and two copies of each autosome. We focus on X/Z chromosomes (or regions of them) where there are no homologous genes on the Y/W, and which do not undergo recombination in the heterogametic sex.

Hybridization between two incompletely isolated species occurs in a mainland-island setting. Migration is assumed to be one-way from a donor to a recipient species, although our results hold for two-way exchange as long as migration is weak and introgressed alleles rare. We model the introgression of a single medium-sized block of genome with multiple loci that influence fitness in the recipient species. We assume that the two species are fixed for different alleles at these loci, and that each introduced allele is deleterious in the recipient species, either because it is not adapted to the local environment or to the local genetic background. Throughout, we neglect de novo mutations and segregating variants (with effects on fitness) that may be private to one of the two species. We also neglect the effect of loosely linked or unlinked incompatible alleles (spread across the entire genome), since these would affect introgression of both autosomal and X-linked blocks to a similar extent via an increase in the fitness variation and a resultant reduction in the effective population size (Barton 1995). We thus focus here on a comparison of the introgression dynamics of a single X-linked vs autosomal block.

In each generation, a fraction mF of females and a fraction mM of males are replaced by immigrant females and males respectively. Immigrants are drawn from a donor species which is fixed for the deleterious block. Thus, if the block is on the X, immigrant females introduce two identical copies and immigrant males a single copy into the recipient species, while if it is autosomal, any immigrant introduces two copies of the deleterious block. The block is assumed to carry L equally spaced loci with deleterious alleles of equal effect, which multiplicatively reduce individual fitness in the recipient species. Thus, the relative fitness of a female heterozygous for y and homozygous for y X-linked introgressed alleles is vF(y,y)=eysFyshom,F, while the fitness of a male who carries y introgressed alleles is vM(y)=eysM. Here, sF and shom,F denote heterozygous and homozygous effects per allele in females, and sM the hemizygous effect in males; unlike in the more standard notation where hs refers to the heterozygous effect. Our choice of notation is motivated by the fact that, to the first order in sL, introgression depends only on heterozygous effects and is independent of the dominance coefficient, h (see below). Fitness in the autosomal case can be defined analogously. The per generation rate of recombination between adjacent selected loci is denoted by cF in females (for either autosomal or X-linked blocks) and cM in males (only for autosomes; no recombination occurs between the X and Y in males). Unless stated otherwise, we always assume autosomal recombination in the heterogametic sex.

We also analyze the introgression of a neutral marker linked to the deleterious genomic block. For simplicity, we focus on the so-called “rod” model of Barton and Bengtsson (1986), where the neutral marker lies at one end of the block, with the rate of recombination between the neutral marker and the terminal selected locus αcF in females and αcM in males. Here α parameterizes the map distance between the neutral marker and nearest selected locus, relative to the interlocus map distance. Thus, in this model, the neutral marker can escape into the recipient background via a single recombination event. Our analysis can be generalized to other marker configurations, following Barton and Bengtsson (1986) (e.g., the “embedded” model, Supplementary Figure S7).

We derive analytical results by assuming that: (1) the frequency of the introgressing block (and its descendant fragments) is low so that matings between individuals carrying introgressed material can be neglected, and (2) the deleterious block is short enough that multiple crossovers within the deleterious block can also be neglected. This implies that any individual male or female carries at most a single deleterious block. In particular, immigrant females (who carry two copies of the selected blocks) must necessarily pass on only one of these to their offspring (who are likely to inherit the other chromosome from a father bearing no introgressed material). Thus, in this regime, introgression is largely independent of the homozygous effect of deleterious alleles and is governed by the heterozygous (in females) and hemizygous (in males) selective effects.

In the following, we first present dynamical equations for the evolution of deleterious fragments of the introduced genome and solve these at equilibrium (i.e., migration–selection–recombination balance) to obtain analytical predictions for the equilibrium frequencies of deleterious X-linked blocks. We then calculate the effective migration rate of neutral markers into the recipient species, thus quantifying the reduction in gene flow at a neutral marker due to linkage to interspecific barrier loci. We also test these analytical expressions (i.e., the exact formulae and the weak-selection approximations) against individual-based simulations. We first analyze a basic model assuming co-dominance, multiplicative effects and no sex-specific forces, and then extend to sex-specificities, dominance and epistasis. Key notation is summarized in Table 1.

Table 1.

 Notation

Parameters Meaning
L Number of selected loci equally spaced on the genomic block
cF, cM Rate of recombination per generation between adjacent selected loci in ♀ (resp. ♂)
α Map distance between the neutral marker and the nearest selected locus, relative to the interlocus map distance
mF, mM Fraction of females (resp. males) in the recipient species replaced by migrant females (males) in each generation
sF, sM Heterozygous (resp. hemizygous) selective effect per locally deleterious allele in females (males)

Quantities Meaning

PF(y); PM(y) Fraction of females (resp. males) carrying a single introgressing block with y locally deleterious loci
X CHROMOSOME: PX(y)=PF(y)+PM(y)3; AUTOSOME: PA(y)=PF(y)+PM(y)2
p¯X; p¯A Frequency of locally deleterious alleles on the sex chromosome (resp. autosomes) averaged over all selected loci
u¯X; u¯A Frequency of the neutral marker at the end of the sex chromosome (resp. autosomes) averaged over all deleterious backgrounds
bX; bA Strength of the sex chromosomal barrier to neutral gene flow (resp. autosomal)

Model extensions Meaning

h Dominance coefficient of the locally deleterious alleles
h =0.5: co-dominance; h =0.1: partial recessivity; h =1.0: complete dominance
shom,F=sFh; shom,M=sMh Homozygous selective effect per locally deleterious allele in females (resp. males)
vF(y,y); vM(y,y) Fitness of a female (resp. male) carrying y locally deleterious loci in the heterozygous state and y’ loci in the homozygous state
X CHROMOSOME: vF(y,y)=eysFyshom,F, vM(y)=eysM; AUTOSOME: vF(y,y)=eysFyshom,F, vM(y,y)=eysMyshom,M
β Fraction of selected loci that act epistatically, the remaining 1β acts multiplicatively
ε Direction and strength of epistasis
ε=1: multiplicativity; 0ε<1: negative epistasis

Note that throughout we use s to denote the heterozygote selective effect (unlike the more standard notation, where s refers to the homozygous effect). Our choice of notation is motivated by the fact that to the first order in sL (where L is the number of selected loci on the block) introgression depends only on this single parameter and is independent of the dominance coefficient, h.

Introgression of multilocus deleterious blocks

Autosomal introgression

We consider how selection against multiple deleterious alleles influences introgression of an incompatible autosomal block in a regime where the vast majority of individuals carry at most one fragment of the block. While Barton (1983) considered the simplest case of haploid introgression and no sex differences, we generalize to the case where selection coefficients, migration rates and recombination rates may differ between males and females (see Appendix A, Supp. Text). For small parameters (i.e., sL, cL, m1), we can take a continuous time limit by approximating esy1sy and, neglecting all terms that are second order in small parameters, e.g., O(s2), O(ms), etc. Then the frequencies PA(y,t) of introgressed fragments with y deleterious alleles at time t satisfy dynamical equations which are identical to those in Barton (1983) but with sA, mA and cA given by the sex-averaged rates (sA=sF+sM2, mA=mF+mM2,cA=cF+cM2; see Table 2):

PA(y,t)t=[sAy+cA(y1)]PA(y)+2cAy=y+1LPA(y)+mAδy,L (1)
Table 2.

 Sex-averaged effective parameters

Parameters Meaning
sX; sA Effective selection per locally deleterious allele on the X chromosome (resp. autosomes)
X CHROMOSOME: sX=2sF+sM3; AUTOSOME: sA=sF+sM2
mX; mA Effective migration on the X chromosome (resp. autosomes)
X CHROMOSOME: mX=2mF+mM3; AUTOSOME: mA=mF+mM2
cX; cA Effective recombination on the X chromosome (resp. autosomes)
X CHROMOSOME: cX=2cF3; AUTOSOME: cA=cF+cM2
θX; θA Strength of coupling between locally deleterious alleles on the sex chromosome (resp. autosomes)
X CHROMOSOME: θX=sXcX; AUTOSOME: θA=sAcA
mXSX; mASA Expected allele frequency when selected loci are perfectly linked on the sex chromosome (resp. autosomes)

These effective parameters govern introgression assuming that sL, cL, and m are 1.

Here δy,L equals 1 for y = L, and is zero otherwise. The first term represents the loss of the introgressed fragment due to selection against deleterious alleles and backcrossing with the recipient species; the second term corresponds to the creation of the fragment by splitting of larger fragments; the third term represents the influx of the full block (with L deleterious alleles) due to migration from the donor species. Note that equation (1) is linear in PA(y) since we assume introgressing blocks to be rare and terms of the form PA(y)PA(y) (which arise from mating between individuals carrying introgressing blocks) to be negligible. For the same reason, we can ignore terms of order mA2; thus, our results also hold for weak bidirectional migration.

Equation (1) can be solved to obtain the block frequencies PA(y) at equilibrium and the average equilibrium frequency of deleterious alleles (averaged over all loci on the autosomal block): p¯A=y=1LPA(y)yL (see equation 12 in Appendix A).

A key parameter governing introgression is θA=sAcA, the ratio of selective effect to recombination rate per locus, which determines the extent of coupling between loci (Barton 1983). For large L, the average deleterious allele frequency p¯A can be approximated as:

p¯A{mASAL12θAθA1mA2SA(γ+log[4L])θA=1mASA(1+1θA)θA1 (2)

where SA=sAL and γ=0.577216 is Euler’s constant. One can define the effective selection coefficient, sA*=mAp¯A, as the selective pressure at a single locus that would be needed to produce the observed average frequency of the deleterious alleles (Barton 1983). By extension, one can also define the effective number of loci neA=sA*sA, that, if fully linked, would have produced the same effect on deleterious allele frequency as the full deleterious block (Supplementary Figure S1). Note that in the limit c0, i.e., for perfect linkage between deleterious alleles, neA must approach L.

For θA1, (i.e., very strong coupling between loci), the deleterious allele frequency depends only on the net selective disadvantage SA=sAL of the block, and is independent of the number of loci on the block (for large L). It also follows that the effective selection coefficient per locus, given by SA/(1+1θA), approaches the net selective effect SA for very large values of θA. In contrast, for θA1 (i.e., weak coupling between loci), each locus experiences an effective selective disadvantage (given by SAL2θA1=sAL2θA) which is proportional to its own selective effect sA, but also depends weakly on L (the number of selected loci that are loosely linked to it). Crucially, in this regime, the effective selection per locus decreases and the deleterious allele frequency increases as we consider introgression scenarios where the same total selective effect is due to a larger and larger number of loci of weaker effect (i.e., on increasing L while keeping SA=sAL and CA=cAL constant). Thus, for weak coupling between loci, this analysis (which assumes that deleterious allele frequency is low) remains valid only for small values of L, more specifically for mASAL12θA1.

X-linked introgression

We now analyze introgression of an X-linked block. Let PF(y) and PM(y) denote the fraction of females and males who carry a single copy of, i.e., are respectively heterozygous and hemizygous for, an X-linked introgressed block with y deleterious alleles. Thus, in a population of size N with a 1:1 sex ratio, the number of X-linked blocks with y deleterious alleles must be N2(PF(y)+PM(y)), while the total number of X chromosomes is 32N. Thus, the frequency of X-linked introgressed blocks with y deleterious alleles is given by PX(y)=PF(y)+PM(y)3. In Appendix A, we derive dynamical equations for the evolution of PF(y,t) and PM(y,t), In the continuous time limit, i.e., assuming sL, cL1, and ms, these can be combined into a single equation for the evolution of PX(y,t):

PX(y,t)t=[2sF3y+sM3y+2cF3(y1)]PX(y)+4cF3y=y+1LPX(y)+(2mF3+mM3)δy,L (3a)

 

PF(y)=2PX(y)PM(y)=PX(y) (3b)

This equation is identical in form to equation (1) (which describes the dynamics of the autosomal block distribution), but with sA replaced by sX=2sF+sM3, mA by mX=2mF+mM3 and cA by cX=2cF3 (see Table 2). The sex-averaged effective parameters mX, sX and cX are weighted sums of the corresponding male and female parameters. Female migration contributes twice as much as male migration to mX simply because any female migrant introduces two X-linked blocks while a male migrant carries one. Similarly, the sex-averaged selection coefficient sX is the sum of male and female components, with the contribution of sF, the heterozygous selective effect per allele in females, being twice that of sM, the hemizygous effect in males. Note that this is despite the fact that almost all females, with the exception of immigrant females, carry only one copy of any X-linked deleterious block (under the assumption of low migration). The 2:1 contributions emerge nevertheless because there are twice as many females who are heterozygous (for any X-linked deleterious block) as males who are hemizygous (PM(y)PF(y)2, see equation 3b): this, in turn, is simply because females can inherit the block from either parent, while males only inherit it from their mothers. Thus, any X-linked deleterious allele spends twice as much time in the heterozygous state in females than in the hemizygous state in males, causing it to be more sensitive to selection in females. The 2:1 contributions of female and male recombination rates (where the latter is assumed to be zero) to the sex-averaged recombination fraction cX can be explained similarly.

Equation (3a) can be solved to obtain an explicit expression for the equilibrium PX(y) (details in Appendix A):

PX(L)=mXsXθX(L1)+θXL,PX(y)=2mXsXi=1Ly1[θX(y+i)+(y+i+1)]i=0Ly[θX(y+i)+(y+i1)]θXy<L (4)

Here θX=sXcX is a measure of the strength of coupling between deleterious alleles on the X chromosome. As in the autosomal case, equation (4) can be used to calculate the average frequency of deleterious alleles, averaged over all loci on the X chromosome: p¯X=y=1LPX(y)yL. Since equations (1) and (3) have the same form, this is given by the same expressions as in equation (2), but with sX and mX replaced by sA and mA respectively. As before, we expect our analysis to become inaccurate when the X chromosome contains a large number of weakly linked and weakly selected deleterious alleles, i.e., for θX1 and mXSXL12θX1.

Equations (1) and (3) reveal a simple correspondence between introgression on autosomes and on X chromosomes, even when there is multilocus selection against introgression (for weak selection and recombination: sL,cL1). More specifically, they suggest that the distribution of lengths of X-linked introgressing blocks should be nearly identical to the distribution of autosomal introgressing blocks, upon comparing autosomes and sex chromosomes with mXsX=mAsA and θX=θA (this prediction is verified in simulations, see Supplementary Figure S2A). Conversely, if we compare autosomal and X-linked blocks with identical genetic architectures and no sex-bias, then we have θX=32θA, i.e., deleterious alleles on the X are more strongly coupled to each other (than on autosomes), resulting in lower rates of introgression. We quantify this precisely in the Results using our analytical expressions for PX(y) and PA(y) (equation 4).

Note that this correspondence between X-linked and autosomal introgression also applies to the dynamics of block length distributions (equation 3a, see also Supplementary Figure S2B for verification in simulations). This implies that the time-dependent distribution of block lengths can be described by the same mathematical results as for the autosomal case (Appendix in Baird 1995). Thus, we do not consider dynamics any further here, and focus only on patterns at equilibrium.

Multilocus barrier to neutral introgression

Autosomal barrier

We next investigate how deleterious genomic blocks act as genetic barriers to neutral gene flow by calculating the rate at which an allele at a linked neutral marker (fixed in the donor species) increases in the recipient species, where it is initially absent. We again assume that introgression is rare and that multiple crossovers within the deleterious block can be neglected. Therefore, the neutral marker can only be found in the recipient species associated with a consecutive series of between 0 and L locally deleterious alleles, and paired with a chromosome of the recipient species.

Following Bengtsson (1985), the strength of the barrier (bA) is defined as mAmeA, where mA is the raw migration rate on autosomes and meA is the effective migration rate defined as δuA(0)uA. Here, uA is the difference in allele frequency of the neutral marker between the donor and recipient species (and is 1, by definition), while δuA(0) is the rate of increase of the neutral marker in the recipient background. The rate of increase δuA(0) can be calculated by tracking the rate at which the neutral marker is transferred between different genetic backgrounds (with different numbers of deleterious alleles) at equilibrium (Barton and Bengtsson 1986; see also Appendix B, Supp. Text). For sL, cL1, the autosomal barrier strength bA under this “rod” configuration can be written as (Barton and Bengtsson 1986):

bA=Γ(L+α+θA1+θA)Γ(α1+θA)Γ(L+α1+θA)Γ(α+θA1+θA) (5)

where Γ refers to the Gamma function.

The barrier strength is thus determined by the coupling coefficient (θA=sAcA) and the proximity of the neutral marker to the selected block (α). The dependence of the barrier strength on θA is qualitatively similar to the dependence of the equilibrium frequency of locally deleterious alleles. When θA is large (sLcL), all that matters in order for the neutral marker to introgress is to recombine away from the entire deleterious block in a single step, while when θA is small (sLcL), pairwise interactions between the neutral marker and each selected locus modulate neutral introgression.

Concerning the proximity of the neutral marker to the incompatible block, the smaller α, the stronger the barrier, since the neutral marker is then closely linked to the block. When α1, the barrier strength is proportional to the effect of the closest deleterious locus, but the additional effect of the other deleterious loci on the block reduces gene flow well below the single-locus expectation. When αL, the deleterious block acts as a single unit with regard to the neutral marker, and thus, the barrier strength is close to that produced by a single locus with total effect sL at a distance αc from the marker.

X-linked barrier

We now consider the case of a neutral marker on the X chromosome. We obtain an explicit expression for the strength of the barrier to neutral X-linked gene flow, under the same assumptions as in the autosomal case (see Appendix B for further details, Supp. Text). This is the same expression as in equation (5), but with θA substituted by θX:

bX=Γ(L+α+θX1+θX)Γ(α1+θX)Γ(L+α1+θX)Γ(α+θX1+θX) (6)

In Appendix B (Supp. Text), we show that, in the limit of very tight linkage between barrier loci (for which we expect the deleterious block to act as a single locus with net effect SX=sXL), our results for barrier strength are consistent with those of Muirhead and Presgraves (2016), who consider a neutral marker linked to a single incompatible locus.

Model extensions

An important feature of the above equations is that any kind of sex bias can be encapsulated by the composite parameters θ=sc and ms, at least for weak migration, selection and recombination. Thus, equations (3) and (4) describe X-linked introgression in various scenarios.

Dosage compensation and sex-biased forces

Dosage compensation is likely to influence fitness effects of incompatibilities in complex ways that are poorly understood. For simplicity, we focus on two different fitness models, which represent two extreme possibilities. We first analyze a “basic model” with co-dominant alleles in which heterozygous selective effects in females are assumed to be half the corresponding homozygous effects and equal to the hemizygous selective effects in males (i.e., sM=sF=shom,F/2). This parameter setting for our “basic model” is justified to the extent that we first want to focus solely on the effects of lower effective recombination on the sex chromosomes. Moreover, it gives the most conservative estimate of how much barrier strength is increased on the sex chromosome relative to autosomes, because stronger deleterious effects in males (relative to females) further enhance the strength of coupling (θ) on the X relative to autosomes (if sF and c are comparable for the two chromosome types).

We then consider a more realistic parameter setting, where we explicitly account for the fact that a single deleterious allele is (typically) more detrimental in the heterogametic sex than a single deleterious allele in the homogametic sex. This setting follows from a model with dosage compensation, where the fitness of a male carrying a hemizygous XY deleterious block is the same as that of a female carrying a homozygous XX block (i.e., sM=shom,F>sF for sex-linked alleles). Under this assumption, the selection coefficient in males, sM, is larger in magnitude than in the “basic model,” due to the larger amounts of deleterious gene products in the heterogametic sex. This model can describe any mechanism of dosage compensation which leads to similar total levels of activity of the sex chromosome in both sexes. It is thus reasonable for groups in which dosage compensation evolved by up-regulation of the X (or Z) in the homogametic sex. But it can also be applied to groups in which the X (or Z) is initially over-expressed in both sexes, then secondarily down-regulated in the homogametic sex. Note that the assumptions about the influence of dosage compensation on selective effects can be easily relaxed; our mathematical results are very general and can be directly applied to any model of dosage compensation (which would result in different sF/shom,F and sF/sM ratios).

We then model sex-specific selection on deleterious alleles by assuming stronger selection coefficients on XY males (i.e., sM> sF) or on ZZ males (i.e., sF> sM in our XY notation). We study sex-biased migration by setting mMmF, and achiasmy by setting cM=0 on autosomes in males (or cF=0 in a ZW system), such that there is no recombination on any chromosome in the heterogametic sex.

Beyond the weak selection approximation

The analytical predictions presented so far assume that selection against hybrids is weak, i.e., S=sL1, (for a given θ, m/S, and L). Under weak selection, the frequency of hemizygous males (carrying a particular X-linked deleterious block) is found to be half the corresponding frequency of heterozygous females, i.e., PM(y)PF(y)/2. This forms the basis of a relatively simple description of X-linked introgression in terms of sex-averaged X-linked parameters (equations 4 and 6).

Under stronger selection, homozygous female immigrants may have strongly reduced fitness as compared to hemizygous males: this reduces the relative contribution of females to the next generation, increasing the ratio PM(y)/PF(y) above 1/2. Moreover, this effect is sensitive to the dominance coefficient of deleterious alleles (h), which determines the relative fitness of homozygous and heterozygous females. However, even under these scenarios (i.e., strong selection and dominance/recessivity), male and female genotypic frequencies satisfy a set of linear equations, as long as the frequency of deleterious alleles in the recipient species is sufficiently low that second order terms in P(y) can be neglected. In Appendices A and B (Supp. Text), we present these more general predictions for the equilibrium frequencies PF(y) and PM(y) as well as for the barrier strengths, for both autosomal and X-linked introgression. These are more accurate when selection against hybrids is strong (see Results), but they are considerably more involved than the weak-selection expressions in equations (4) and (6), and cannot be expressed in terms of sex-averaged effective parameters (i.e., sX, mX, cX).

Individual-based simulations

The analytical expressions for the deleterious allele frequency (equation 4 which is valid for sL, cL and m1; equation 16 in Appendix A which is also valid for strong selection) and for the barrier strength (equation 6; equation 30 in Appendix B) assume that: (i) drift is negligible (Ns1); (ii) multiple crossovers are rare (cL1); and (iii) introgressed alleles are rare enough that most individuals carry at most one introgressed block. The last assumption is the most critical, as its validity depends on the value of θ. Therefore, we compare our analytical results to forward-in-time individual-based simulations (see Supp. Text for more details) with Ns1 and cL1, but in different coupling regimes, for which assumption (iii) may not hold.

Data availability

Supplementary material is available at figshare DOI: https://doi.org/10.25386/genetics.13296557.

Results

Extending previous results (Barton 1983; Barton and Bengtsson 1986) to the case of sex chromosomes, we have derived analytical expressions for the equilibrium frequency of multilocus sex-linked incompatibilities, and their strength as barriers against gene exchange between two hybridizing species (equations 4 and 6, see also Appendices A and B). We now focus on the biological consequences of there being different sex-averaged effective parameters (Table 2 and Supplementary Table S1). We summarize the influence of (i) the genetic architecture of the barrier between species, (ii) sex-biased forces and dosage compensation, and (iii) other model extensions (dominance and epistasis, see Supp. Text). We restrict attention to the effect of each factor separately, although combined effects are discussed for the interpretation of empirical data (see Discussion). To be consistent with the mathematical simplifications in our model (see Model and Methods), we choose sL to be in the range 0.01 to 0.1, cL to be in the range 0.025 to 0.25 and migration to be weak relative to selection coefficients (m =0.001). In simulations, we take population sizes to be sufficiently large (N=105) to conform with the deterministic regime.

Genetic architecture of the barrier between species

Effects of coupling between barrier loci, and of the migration-to-selection ratio

Validating Barton (1983)’s autosomal results, we find that the equilibrium frequency of deleterious alleles decreases as coupling between selected loci becomes stronger, i.e., as θ increases (Figure 1A). When coupling between barrier loci is strong (θA=2, red; Figure 1A), the deleterious block acts as the unit of selection, so that the deleterious allele frequency in the recipient species (p¯A) is lower than under intermediate coupling (θA=1, black; Figure 1A). When coupling is weak (θA=0.2, blue; Figure 1A), recombination breaks the genomic block down to smaller sub-blocks of weaker selective disadvantage, resulting in a much higher equilibrium frequency of the introgressing alleles. Note that when θ<1 and L is large, the analytical predictions break down: p¯A obtained by simulations (open symbols) is much higher than the predicted values (lines and filled symbols). Coupling has a similar effect on gene flow at a neutral marker, i.e., effective neutral migration decreases as θ increases (and the barrier strength correspondingly increases; Figure 2), which corroborates Barton and Bengtsson (1986)’s autosomal results. The equilibrium frequency of deleterious alleles in the recipient species shows a strong dependence on mS (the ratio of the migration rate to the selective effect S = sL of the full block) and is in fact equal to mS when selected loci are completely linked. Even with incomplete linkage (i.e., strong to intermediate coupling), equilibrium allele frequency is nearly proportional to mS: for example, the autosomal equilibrium frequency for low mS (mASA=0.1, blue; Figure 1B) is 10 times higher relative to that in the high mS regime (mASA=0.01, red; Figure 1B), nearly independently of the number of barrier loci.

Figure 1.

Figure 1

Effect of θ and mS on average equilibrium frequencies. Average frequency of the deleterious alleles in the recipient species (Autosomal: p¯A; X-linked: p¯X; their ratio: p¯Xp¯A) plotted against the number of selected loci on the genomic block, L. The effect of two composite parameters governing introgression is shown: (A) θ=sc determines the extent of coupling between loci; (B) mS determines the expected allele frequency when selected loci are perfectly linked. Lines show the analytical expression in equations (4) and (12) (which are given in terms of composite parameters and are valid for sL, cL and m1); filled symbols show analytical expression in equations (11) and (16) (which are also valid for strong selection); empty symbols show results of individual-based simulations iterated for 10,000 generations and averaged over 100 replicates (error bars indicate the standard error of the mean). Colors stand for values of the composite parameters, θ and mS. Parameter values for intermediate θ and mS are: h =0.5, m =0.001, cL =0.05, sL =0.05, mX/SX=mA/SA=0.02,θX=1.5,θA=1 and N=105 (simulations). Parameters for weak coupling: cL =0.25, θX=0.3,θA=0.2; strong coupling: cL =0.025, θX=3,θA=2; m/S high: cL=sL=0.01,mX/SX=mA/SA=0.1; m/S low: cL=sL=0.1,mX/SX=mA/SA=0.01. Note that the total selective disadvantage of the block (S = sL) and its total map length (C = cL) are kept constant as we vary the number of loci (L; x axis).

Figure 2.

Figure 2

Effect of θ on barrier strength at the neutral marker. Barrier strength at the neutral marker (Autosomal: bA; X-linked: bX; their ratio: bXbA) plotted against its proximity to the nearest selected locus, α. In (A), the neutral marker is linked to a single strongly selected locus (L =1); while in (B), it is linked to 100 weakly selected loci (L =100). Lines show the analytical expression in equations (5) and (6) (which are given in terms of composite parameters and are valid for sL, cL and m1); filled symbols show analytical expression in equations (22) and (30) (which are also valid for strong selection); empty symbols show results of individual-based simulations iterated for 10,000 generations after equilibrating at the selected loci; they are averaged over 100 replicates (error bars indicate the confidence interval of the estimate). Colors stand for values of the composite parameter θ=sc at the selected loci. The recombination rate between the neutral marker and the nearest selected locus is αLc, therefore lower α values means closer proximity. Other details match Figure 1.

We show that these patterns also hold for the sex chromosomes, but with a consistently lower equilibrium frequency and higher barrier strength (Figures 1A and 2). This is because deleterious alleles on the sex chromosome are more strongly coupled to each other than on autosomes (i.e., θX=32θA; Supplementary Table S1), while mS ratios are equal for autosomes and sex chromosomes (i.e., mXSX=mASA; Supplementary Table S1), assuming identical genetic architectures of hybrid incompatibility for both (i.e., same sF, sM, cF and L). These relationships result in a lower sex-linked equilibrium frequency when the barrier is multilocus (p¯Xp¯A<1 for L >1; Figure 1A), and a higher barrier strength on the sex chromosome even when there is a single barrier locus (bXbA>1 for L1; Figure 2), since the neutral marker and the selected locus are then more strongly linked. Note that the difference between X-linked and autosomal introgression probabilities is quite pronounced for low to intermediate values of θ (Figure 1A), but becomes weaker for sF,sMc, i.e., θ1 (red; >Supplementary Figure S4A), even though X-linked incompatibilities are more strongly coupled than autosomal ones (i.e., θX=32θA) in both regimes. This simply reflects the fact that equilibrium frequencies are nearly independent of the exact value of the coupling strength, when this is large, i.e., when selection acts on the block as a whole.

Number of barrier loci on the incompatible block

The dependence of the equilibrium frequency of introgressing alleles on the number of barrier loci, L, is qualitatively different in different coupling regimes. In the strong coupling regime (θ1), the equilibrium frequency of sex-linked and autosomal alleles is largely governed by the net selective disadvantage of the block (S = sL), and increases only weakly with L for fixed S (red; Figure 1A and Supplementary Figure S4A). For smaller θ, p¯A and p¯X both increase with L (black, Figure 1A); correspondingly, the barrier strengths, bA and bX, decrease (Supplementary Figure S3). For very weak coupling (θ1), the equilibrium deleterious allele frequency increases so strongly with L that our predictions break down at large L (blue; Figure 1A). As before, this is because in the θ1 regime, any locus is only weakly affected by other selected loci and the effective selection coefficient per allele is close to the raw selective effect s. The latter decreases as we consider genetic architectures with larger numbers of more weakly selected loci (from left to right along the x axis in Figure 1).

We also predict that the ratio of autosomal and X-linked deleterious allele frequencies and barrier strengths should increase with the number of barrier loci involved (L), for weak coupling between selected loci. In this regime, the effective strength of selection against individual loci scales as L2θX and L2θA for X-linked and autosomal deleterious alleles respectively; thus, the ratio of equilibrium frequencies scales as L2(θAθX) for θA,θX1. Since coupling between X-linked alleles is stronger, this means that the ratio of X-linked alleles to autosomal alleles must decrease as the barrier becomes more polygenic. For example, for θA=0.2 and θX=0.3, introgression rates on the sex chromosome are 0.63 times that of the autosomes when the incompatible block is polygenic (L =100, blue; Figure 1A), while, as expected, they are identical for both chromosomes with a single barrier locus (L =1). The same qualitative pattern is observed for the ratio of barrier strengths: bXbA2 for L =100 while it is 1.5 for L =1, when the neutral marker is close to the block (α=0.01, black; Figure 2). In contrast, under strong coupling (e.g., θA=10 and θX=15), the differences between the two types of chromosomes become negligible (red; Supplementary Figure S4). Note that for the barrier strength, only the extreme cases of a single strongly deleterious locus (L =1) and many weakly deleterious loci (L =100) are considered hereafter.

Distance of the neutral marker from the incompatible block

We have modeled a situation in which a neutral marker lies at one end of an incompatible genomic block (“rod” configuration). The barrier strength always decreases as a function of the distance between the neutral marker and the closest selected locus on both autosomes and the sex chromosomes. This is because the ability of a neutral marker to escape from its incompatible genomic background increases with its map distance from the selected block. For example, under intermediate coupling (black; Figure 2), a multilocus autosomal barrier can reduce the effective migration rate by a factor of 20 for a neutral marker at a relative distance of α=0.01 from the closest barrier locus, while this factor drops to less than 2 at a fraction distance α = 1; these numbers are respectively 35 and 2.5 in the sex chromosome case.

This pattern also holds in the more general case of a neutral marker embedded in the selected block (“embedded” configuration, Supplementary Figure S7). In agreement with previous work on autosomes (Barton and Bengtsson 1986) and sex chromosomes (Muirhead and Presgraves 2016), the barrier at the center is up to one order of magnitude stronger than the barrier at the edge of the block, because two recombination events (instead of one) are required for the neutral marker to escape from the deleterious background. Moreover, as the predictions concerning sex-linked barriers can again be obtained from the corresponding autosomal predictions by a change in sex-averaged effective parameters, our general conclusion that these impede neutral flow more strongly than autosomal barriers still holds in the “embedded” simulations. However, this effect is more extreme than in the “rod” configuration (e.g., bXbA3 instead of 2 for L =100 and α=0.01; Supplementary Figure S7).

Dosage compensation and sex-biased forces

Dosage compensation

The basic model considered so far assumes that the hemizygous selective effect of a deleterious allele in a XY male (or a ZW female) is half as strong as the homozygous effect in a XX female (or a ZZ male). However, various molecular mechanisms of dosage compensation have evolved independently in various clades in response to these imbalances (Gu and Walters 2017). These mechanisms may boil down to a fitness model where the effect of a single copy of a sex-linked allele in hemizygous males is similar to that of two copies in homozygous females (sM=shom,F=2s and sF=s for h =0.5). In such a situation, we have θX=2θA and mXSX=34mASA (Supplementary Table S1), which results in a lower X-to-autosome ratio of introgressed allele frequencies for weak to intermediate coupling between selected loci (p¯Xp¯A0.4 instead of 0.66 in the basic model with L =100, compare red vs black; Figure 3A). This holds for single and multilocus barriers (i.e., for L1), since not only coupling between sex-linked alleles is stronger than in the basic model but also m/S on the sex chromosomes is weaker than on autosomes. Likewise, the influence of dosage compensation on neutral gene flow is to increase the ratio of barrier strengths relative to the basic model (bXbA3 instead of 2 with L =100 and α=0.01, compare red vs black; Figure 4A).

Figure 3.

Figure 3

Effect of sex-specificities on average equilibrium frequencies. Average frequency of the deleterious alleles in the recipient species (Autosomal: p¯A; X-linked: p¯X; their ratio: p¯Xp¯A) plotted against the number of selected loci on the genomic block, L. (A) Dosage compensation (sML=2sFL=shom,FL=0.1 for sex-linked alleles, mX/SX=0.015,θX=2, red) and achiasmy in XY males (cML=0,θA=2, blue). (B) Sex-biased migration: e.g., if males migrate three times more than females (mM=3mF=0.0015, mX/SX0.016, red); or females migrate three times more than males (mF=3mM=0.0015,mX/SX0.023, blue). (C) Sex-biased selection: e.g., if selection coefficient is twice as strong on XY males as on females (sML=2sFL=0.1,mX/SX0.015, mA/SA0.013,θX=2,θA=1.5, red); or selection coefficient is twice as strong on ZZ males as on females (sFL=2sML=0.1 in our XY notation, mZ/SZ0.012, mA/SA0.013,θZ=2.5,θA=1.5, blue). The basic model is shown in black in all panels. Parameter values for the basic model are: h =0.5, m =0.001, cL =0.05, sL =0.05, mX/SX=mA/SA=0.02,θX=1.5,θA=1 and N=105 (simulations). Other details match Figure 1.

Figure 4.

Figure 4

Figure 4

Figure 4

Effect of sex-specificities on barrier strength at the neutral marker. Barrier strength at the neutral marker (Autosomal: bA; X-linked: bX; their ratio: bXbA) plotted against its proximity to the nearest selected locus, α. (A) Dosage compensation (red) and achiasmy in XY males (blue). (B) Sex-biased migration: e.g., if males migrate three times more than females (red); or females migrate three times more than males (blue). (C) Sex-biased selection: e.g., if selection coefficient is twice as strong on XY males as on females (red); or selection coefficient is twice as strong on ZZ males as on females (blue). The basic model is shown in black in all panels. Other details match Figures 2 and 3.

Achiasmy

In some species, such as certain dipterans or lepidopterans, recombination is absent throughout the genome in the heterogametic sex (i.e., their meiosis is achiasmate, so cM=0 on autosomes and sex chromosomes in an XY sexual system; Satomura et al. 2019). As sex-linked introgressing alleles (whether on the X or Z) spend one third of their time in the heterogametic sex, while autosomal alleles spend an equal amount of time in both sexes (at least under weak selection), achiasmy leads to a lower effective recombination rate of autosomal compared to sex-linked incompatibility loci (all else being equal; Langley et al. 1988; Betancourt et al. 2004). In this case, we have θX=34θA (Supplementary Table S1), i.e., the coupling between barrier loci is stronger on autosomes than on sex chromosomes. As a consequence, achiasmatic species exhibit higher introgression of sex chromosomes than autosomes when barriers are multilocus (1.2 times higher with L =100, blue; Figure 3A), and their barrier strength is accordingly weaker (0.6 that of autosomes with L =100 and α=0.01, blue; Figure 4A).

Sex-biased migration

Differences in migration rates between sexes are commonly observed in nature, with the heterogametic sex prone to higher migration in mammals and birds (Greenwood 1980; Trochet et al. 2016), although there are many exceptions and patterns are less known in other taxa. Sex-biased migration affects only the introgression of the sex-linked alleles (to lowest order in sL and cL), because immigrants of the heterogametic and homogametic sex introduce different numbers of sex-linked blocks, but the same number of autosomal blocks. Under male-biased migration in a XY system (or female-biased in a ZW system), the migration-to-selection ratio is thus lower for sex-linked alleles than for autosomal alleles (e.g., if mM=3mF, then mXSX=56mASA; Supplementary Table S1). Compared to the basic model, this results in a lower X-to-autosome ratio for L1 and weak to intermediate coupling (p¯Xp¯A0.55 instead of 0.66 with L =100, red; Figure 3B). Note that the barrier strength is predicted to be insensitive to sex-bias in migration to lowest order in sL and cL (see equations 5 and 6). However, for stronger selection, sex-biased migration can have a very weak effect on barrier strength, which is predicted by equations (22) and (30) (Appendix B, and Figure 4B). Opposite patterns are found when migration is female-biased in a XY system (e.g., if mF=3mM, then mXSX=76mASA; Supplementary Table S1), or male-biased in a ZW system.

Sex-biased selection

In most species, the strength of sexual selection is stronger in males than in females (Singh and Punzalan 2018). Since twice as many females carry a single copy of any X-linked introgressed allele as males (i.e., any X-linked incompatible allele spends twice as much time in females as in males), while the reverse is true for the Z chromosome, male-biased sexual selection will lead to opposite effects in the two sexual systems. For example, if selection is twice as strong on XY males as on females (sM=2sF), we have θX=43θA and mXSX=98mASA (Supplementary Table S1), i.e., weaker coupling between barrier loci and a stronger migration-to-selection ratio on the sex chromosome compared to autosomes, than in the basic model. This results in a higher X-to-autosome equilibrium frequency compared to the basic model (p¯Xp¯A0.9 instead of 0.66 with L =100, red; Figure 3C), and a correspondingly lower ratio of barrier strengths (bXbA1.5 instead of 2 with L =100 and α=0.01, red; Figure 4C). On the contrary, when ZZ males are under stronger selection than females (sF=2sM, using our XY notation), we have θZ=53θA and mZZ=910mASA (Supplementary Table S1), resulting in lower Z-to-autosome equilibrium frequencies compared to the basic model (Figure 3C) and a correspondingly higher barrier strength (Figure 4C).

Dominance of barrier loci

In Figures 1–4, we have shown results for individual-based simulations in which incompatible mutations have co-dominant effects (h =0.5), and compared these with our analytical predictions, which are actually independent of dominance as long as selection is weak, i.e., sL and cL1 (see Supplementary Table S1 and Appendix A). We now examine how dominance affects introgression patterns by considering either partial recessivity (h =0.1) or full dominance (h =1.0) of the incompatible effects, and by varying their homozygous deleterious effect (shom) while keeping the heterozygous selective effect (s) constant. This allows us to test the influence of h=s/shom (i.e., the ratio of heterozygous to homozygous effects) for a given heterozygous effect.

Recessivity of deleterious alleles implies that homozygous blocks are far more deleterious than in the co-dominant model (shom=0.5 for h =0.1 vs shom=0.1 for h =0.5), resulting in a strong selective disadvantage for first generation immigrants of the homogametic sex (in case of sex-linked blocks) or of both sexes (in case of the autosomal blocks). This leads to lower levels of introgression for both the sex chromosome and autosomes (blue; Supplementary Figure S5B). Moreover, total migration is more strongly reduced in autosomes (due to the reduced fitness in both male and female migrants) relative to sex chromosomes (since only female migrants have substantially lower fitness than in the co-dominant model). Thus, the X-to-autosome introgression ratio is higher than that in the co-dominant case (Supplementary Figure S5B), and the ratio of barrier strengths is correspondingly smaller (Supplementary Figure S6B). However, it is worth noting that introgression remains low overall in our model, and so homozygous blocks are rare in the population. They are actually neglected in the weak selection approximation (lines) and only enter into the more general analytical predictions (filled symbols) via the fitness of homozygous migrants (of the homogametic sex); however, they are fully considered in the simulations (empty symbols). Therefore, the influence of dominance (h) on equilibrium frequencies and barrier strengths is by itself weak: what matters to the first order is only the heterozygous effects (s) of the incompatible alleles.

If we also assume dosage compensation, then the migration-to-selection ratio (mS) of X-linked recessive alleles is only 14 that of the autosomes (compared to 34 when alleles are co-dominant, see Supplementary Table S1), and coupling between incompatible alleles (θ) is 6 times stronger on the X chromosome relative to autosomes (compared to 2 times when alleles are co-dominant, see Supplementary Table S1). Importantly, these two effects cause a much lower X-to-autosome introgression ratio than under co-dominance (p¯Xp¯A0.1 instead of 0.4 with L =100, blue; Supplementary Figure S5C), and also a much greater X-to-autosome ratio of barrier strengths (bXbA20 instead of 3.5 with L =100 and α=0.01, blue; Supplementary Figure S6C). This point in the parameter space is important to consider as it corresponds to very different X-linked effects in hemizygous males and heterozygous females, which is the basis of the dominance theory (Turelli and Orr 1995, 2000).

Under complete dominance of incompatible alleles, homozygous blocks are just as deleterious as heterozygous blocks (shom=0.05 for h =1.0). This leads to slightly higher levels of introgression for both chromosome types in the simulations (red; Supplementary Figure S5B), compared to the co-dominant model. With dosage compensation, the relationship between the composite parameters is θX=32θA and mXSX=mASA (Supplementary Table 1); therefore dominant X-linked alleles introgress more than co-dominant alleles (red; Supplementary Figure 5C), and act as weaker barrier to gene flow (red; Supplementary Figure S6C).

Discussion

Previous work has considered the effect of divergence at large numbers of autosomal loci on genetic exchange between hybridizing species (Barton 1983; Barton and Bengtsson 1986; Baird 1995). Here, we have extended the analysis to sex chromosomes (X or Z). Under weak selection, predictions for the introgression of multilocus deleterious blocks (equation 4), and their strength as barriers to neutral gene flow (equation 6), are governed by the same equations as for autosomes, (equations 12 and 5), but with different sex-averaged effective parameters mX, sX and cX. We show that all sex-linked effective parameters have the form aX=2aF+aM3, i.e., they are weighted sums of female and male components, aF and aM. This implies that evolutionary forces that affect males and females differently can be readily encapsulated by these effective parameters, and their biological consequences predicted. An extreme example is that of the X-linked recombination rate, cX, which is 2cF3, since males do not contribute at all to recombination on the X.

These expressions for sex-linked effective parameters are identical to those proposed by Hedrick (2007) (see also Haldane 1926; Avery 1984), based on the argument that females carry two copies of the X chromosome (vs a single copy in males) and thus are associated with a weight that is twice that of males. However, the reason underlying the 2:1 female and male contributions to sX and cX in our model is somewhat different, since both males and females, with the exception of first-generation female immigrants, typically carry a single copy of any X-linked introgressed allele (assuming low introgression). As we demonstrate above, X-linked alleles nevertheless spend twice as much time in females as in males because twice as many females are heterozygous for X-linked deleterious alleles as males (are hemizygous). However, very strong selection against hybrids elevates the ratio PM(y)/PF(y) above 1/2 (see equation 15b, Appendix A), causing this simple description in terms of sex-averaged X-linked parameters to break down: analytical predictions can still be derived by separately considering genotypic frequencies in males and females.

Conditions for an oversized role of sex chromosomes in speciation

We find that the stronger coupling of incompatible alleles on the sex chromosome reduces the escape probability of neutral markers, and thus enhances their barrier strength by a factor of 1.5 to 3 relative to autosomes under optimal conditions (i.e., when the neutral marker is close to a multilocus barrier). This result mirrors earlier predictions for single and two-locus barriers under a regime where introgressed alleles are rare (Muirhead and Presgraves 2016), and for the maintenance of DMIs in parapatry (Höllinger and Hermisson 2017). Although it is a moderate effect, this process is very general as it applies to species diverging in parapatry under various scenarios (including dosage compensation, sex-biased migration and sex-biased selection; see below), and regardless of the position of the neutral marker along the chromosome. However it may not be sufficient to explain the major role of sex chromosomes in the speciation of achiasmatic species such as Drosophila, where an opposite effect is expected (i.e., X-linked barriers are weaker than autosomal ones) if achiasmy is the sole sex-biased process acting.

The greatest sex chromosome-to-autosome ratio for the barrier strengths (bXbA20) occurs when incompatible alleles are recessive and dosage compensated (Supplementary Figure S6C), in agreement with the model of Muirhead and Presgraves (2016). In contrast, Höllinger and Hermisson (2017) did not find a large difference in the outcomes between co-dominant and recessive DMIs. We note that in their model the level of dominance is not associated with the single-locus effects but with the two-locus DMI itself, and so the fitness setting is unlike ours. Importantly, under our model assumptions, dominance (i.e., the ratio of heterozygous to homozygous fitness) itself has little effect as it affects only the selective disadvantage of migrants in the first generation (and of rare homozygous individuals). In essence, recessivity and dosage compensation cause hemizygous deleterious effects of X-linked alleles in males to be much stronger than the corresponding heterozygous effects in females. This is in line with the dominance theory (Turelli and Orr 1995, 2000), which proposes that if most incompatible alleles act recessively in hybrids, then their deleterious effects would be more exposed on the sex chromosomes (as they are hemizygous in males). Therefore, selection more efficiently removes recessive incompatible alleles from the sex chromosome, and eventually imposes a stronger barrier to neutral flow.

A new prediction that emerges from our multilocus model is that polygenic barriers comprising many weakly coupled alleles result in a greater sex chromosome-to-autosome difference than strong single-locus barriers (although the absolute strength of the barrier is stronger in the latter case). Therefore, the genetic architecture of reproductive isolation affects the extent of introgression on sex chromosomes relative to autosomes, which may have important implications. QTL mapping studies for sterility and/or inviability of hybrids typically detect a few large-effect loci (Maheshwari and Barbash 2011), but numerous smaller-effect incompatibilities may be commonly underestimated in these studies. Detailed backcrossing experiments have actually shown that each introgressed block might contain multiple linked barrier loci each required for reproductive isolation to appear (for a review, see Fraïsse et al. 2014). Such polygenic barriers between species, if common, may contribute to the oversized role of sex chromosomes in speciation.

The influence of dosage compensation

Dosage compensation mechanisms are diverse among taxa (Gu and Walters 2017). In dipterans and hemipterans, imbalance of the sex-linked gene dose is solved by an up-regulation of the sex chromosome in the heterogametic sex, while in nematodes and mammals, there is a down-regulation of the sex chromosome in the homogametic sex in response to an early over-expression in both sexes (Charlesworth 1978). These evolutionary mechanisms are equivalent in terms of fitness effects as long as they lead to similar total levels of activity of the X (or Z) in males and females. We have shown that dosage compensation (e.g., the X expression is doubled in XY males) reinforces the barrier strength ratio of sex chromosomes to autosomes compared to the basic setting (Figure 4A), consistent with findings of Höllinger and Hermisson (2017). This is because a single X-linked incompatible allele in males is selected against twice as strongly as a single X-linked allele in (heterozygous) females, while selection against hemizygous males and heterozygous females is equally strong in the basic model.

However, various complications exist. First, there is a controversy over whether there has indeed first been up-regulation of the X (or Z) in both sexes in response to degeneration of the Y (or W), followed by down-regulation in the homogametic sex (e.g., see the work by Mahajan and Bachtrog 2015 in Tribolium). Second, there are indications that dosage compensation is partial in some clades like in birds (Graves 2014). This means that the average expression of Z-linked dosage-sensitive genes in females is typically below that of the two copies in males. Third, the random inactivation of one of the two X chromosomes in mammalian females makes the situation even more complicated, as females are functionally hemizygous, but at the cell level (except in marsupials where paternal X inactivation makes females phenotypically hemizygous at the individual level, like males; Watson and Demuth 2012). Therefore, the effect of a heterozygous mutation on fitness depends on whether gene expression is cell autonomous (likely causing semi-dominance for fitness, Mank et al. 2010) or not. Finally, although our dosage compensation model assumptions are in line with precedents in the theoretical literature (e.g., Avery 1984), to the best of our knowledge, there is no direct proof that supports these.

The influence of sex-biased forces

Evolutionary parameters governing introgression and barrier strength (i.e., m, s and c) may differ significantly between the sexes (Hedrick 2007). One general trend is that migration is biased toward the heterogametic sex (males in mammals and females in birds; Greenwood 1980; Trochet et al. 2016). As the heterogametic sex carries only one copy of the X (or Z) vs two for each autosome, this type of sex-bias leads to a deficit of the number of migrating X (or Z) relative to autosomes. Accordingly, we observed that both male-biased migration (in XY systems) and female-biased migration (in ZW systems) reduce the deleterious equilibrium frequency in the recipient species (Figure 3B, and see Höllinger and Hermisson 2017 for a similar effect on stability conditions of DMIs in parapatry); thus, we do not expect systematic differences between the two sexual systems. Moreover, in the weak selection limit (sL1), the barrier strength is predicted to be independent of sex-biased migration (see equations 5 and 6); even under stronger selection, the ratio mF/mM has only an extremely weak effect on b (see Figure 4B; equations 22 and 30).

Second, quantitative differences in recombination rate between sexes are common (heterochiasmy; Lenormand and Dutheil 2005). In some cases, recombination is totally absent in the heterogametic sex (Satomura et al. 2019), causing the effects of linkage to be stronger on autosomes relative to the sex chromosome. As sex-linked alleles spend less time in the heterogametic sex (13 of their time in XY males or in ZW females) than autosomal alleles (12 of their time), achiasmy enhances the opportunity for neutral alleles to escape from the sex-linked incompatible loci. As a consequence, incompatibilities on the sex chromosomes become weaker interspecies barriers than autosomes (Figure 4A, qualitatively consistent with the observations of Muirhead and Presgraves 2016). Again, this effect is small and should not produce systematic differences between the X and the Z chromosomes, but is still important to consider in speciation genetics as many detailed studies have been done in Drosophila, where achiasmy is widespread.

Third, sexual selection tends to be stronger in males relative to females (Mallet et al. 2011; Sharp and Agrawal 2013; Singh and Punzalan 2018). If sexual selection contributes to reproductive isolation between incipient species, then the impact of male-biased sexual selection should vary between XY systems (where males are heterogametic and an X-linked allele spends 13 of its time in males) and ZW systems (where males are homogametic and a Z-linked allele spends 23 of its time in males). In agreement with this prediction, and assuming a twofold selection bias toward males, we show that the barrier strength of the Z relative to autosomes is a little increased compared to the basic model, while for the X it is correspondingly decreased (Figure 4C).

Insights from empirical data

Next-generation data from a diversity of organisms has provided methods to scan genomes for interspecies reproductive barriers, and contrast autosomes with sex chromosomes. Provided that speciation takes place in the presence of gene flow, we expect incompatibilities and their surrounding loci to exhibit a lower rate of interspecific introgression than the rest of the genome (Roux et al. 2013; Sethuraman et al. 2019). In contrast, if speciation occurs in allopatry, it becomes impossible to locate barrier loci, because interspecies divergence is then a simple function of the time elapsed since isolation, which is shared by the whole genome (Wilkinson-Herbots 2008). By putting together population genomic studies of speciation, Presgraves (2018)’s meta-analysis provides useful insights into the role of sex chromosomes (X or Z) in speciation. He shows that sex chromosomes have a systematically higher differentiation level relative to autosomes in 101 species pairs for which FST was reported. However, as acknowledged by the author, the impacts on genomic divergence of confounding factors occurring within species (like demographic events or linked selection) are hard to tell apart from the effect of selection against migrants between species, especially when summary statistics are applied.

To address this issue, we report in Table 3 empirical studies that statistically evaluate speciation models from genomic data (at the two extremes: a model of allopatric speciation vs a model where speciation is opposed by continuous gene flow; Sousa and Hey 2013), and then test whether sex chromosomes are more resistant to interspecies introgression than autosomes by estimating the introgression rate for each type of chromosome. Since cline analyses also provide unambiguous estimates of barrier strength (Barton and Hewitt 1985), and simulation studies have shown that incompatible sex-linked alleles flow more slowly than autosomal alleles across a cline (Wang 2013; Hvala et al. 2018; Sciuchetti et al. 2018), we also include them in Table 3, together with studies inferring introgressed tracts from phased genomes (Lawson et al. 2012). We investigate a wide range of species (34 species pairs, including 16 XY systems and 18 ZW systems) characterized by diverse mechanisms of dosage compensation and sex-biased forces.

ZW sexual systems Inference
INTROG A LOCUS X LOCUS
BIRDS
Accipitriformes
 Aquila clanga/A. pomarina (14)c X < A 36 15
Anseriformes
 Anas castanea/A. gracilis (15)c XA 17 7
Galliformes
 Tympanuchus cupido/T. pallidicinctus/T. phasianellus (16)c X < A 4 5
Pelecaniformes
 Sula nebouxii/S. variegata (17)c XA 4 3
Plegadis falcinellus/P. chihi (18)a XA Genome-wide Genome-wide
Piciformes
 Picus v. viridis/P. sharpei (19)a XA 9 10
Passeriformes
 Zosterops borbonicus LOW/HIGH (20)c X < A Genome-wide Genome-wide
 Passerina amoena/P. cyanea (21)c X < A 13 6
 Passer domesticus/P. hispaniolensis (22)a X < A Genome-wide Genome-wide
 Poephila acuticauda/P. cincta (23)a X < A Genome-wide Genome-wide
 Poecile atricapillus/P. carolinensis (24)a X < A Genome-wide Genome-wide
 Certhia americana SOU/NOR (25)c X < A 21 9
 Luscinia luscinia/L. megarhynchos (26)c X < A 8 4
 Ficedula albicollis/F. hypoleuca (27)c XA 6 5
 Carpodacus vinaceus/C. formosanus (28)c XA 25 10
 Aegithalos bonvaloti/A. fuliginosus (29)c XA 3 3
 Corvus c. corone/C. c. cornix (30)a XA Genome-wide Genome-wide

Inferences are either based on (a) the geographic/genomic cline widths (Barton and Hewitt 1985), (b) the number of introgressed tracts (Lawson et al. 2012), or (c) the migration rates under isolation-with-migration models (Sousa and Hey 2013). We discarded studies only based on descriptive statistics such as FST (Weir and Cockerham 1984), GMIN (Geneva et al. 2015) or f-statistics (Patterson et al. 2012). INTROG: if X < A then the sex chromosome is a stronger barrier to gene flow than autosomes (either because it has a lower migration rate, a lower number of introgressed tract or a steeper cline), XA otherwise. A LOCUS/X LOCUS: number of autosomal/X-linked loci available for the inferences. Redundant studies were eliminated by including only the more recent study with larger numbers of sampled individuals and/or genetic markers. Studies with less than three loci available for sex chromosomes and/or autosomes were discarded. Species with young sex chromosomes, as in amphibians and plants, were not considered.

Overall, patterns are mixed, with 50% of the studies showing lower effective migration rates, steeper clines and/or lower fraction of introgressed tracts on the sex chromosomes compared to the autosomes (613 in XY studies and 917 in ZW studies). This apparently inconclusive result hides a strong heterogeneity between clades. In XY systems, almost all mammalian species exhibit stronger X-linked barriers relative to autosomes, in agreement with our theoretical predictions. Dosage compensation by X chromosome inactivation in mammals might contribute to this effect, while the prevalence of male-biased sexual selection would act in the opposite direction. On the contrary, none of the studies in Drosophila (except one) shows that the X chromosome is less exchangeable between species than autosomes. This is in line with the fact that the species studied are achiasmatic, although this effect might be counterbalanced by the widespread mechanism of dosage compensation in Drosophila (X up-regulation in males). In ZW systems, birds present a balanced mixture of the two patterns across the six orders examined, which prevents us from drawing any definite conclusions. On the one side, the prevalence of male-biased sexual selection in birds is expected to boost the strength of the Z-linked barriers. On the other side, birds may only have partial dosage compensation of Z-linked genes, which would counteracteract this effect. Dosage compensation is highly debated in birds, and more generally, it is unclear how the diverse dosage compensation mechanisms alter the fitness effects of incompatibilities; therefore our interpretations should be regarded as suggestive.

These patterns are preliminary, and should be taken with caution for several reasons. A first caveat is the heterogeneity across studies in both their genetic markers (number and type) and statistical methods. A second concern is the taxonomic sampling, which is overweighted by some clades (e.g., bird species) or some genera within clades (e.g., Drosophila), and likely influenced by positive results; altogether these factors may introduce systematic biases in the global picture. Third, information concerning the mechanisms of dosage compensation or the existence of sex bias is generally reported for a handful of species and then generalized at the level of the order; this precludes a definite test of their impact. Moreover, the balance of power among sex-biased evolutionary forces will depend on their respective magnitudes, which is very hard to measure in nature. Fourth, the effect of sex chromosome linkage, dosage compensation and sex bias on the capacity of sex chromosomes to better resist interspecies introgression may be too subtle to be observed in real data. Actually, the main determinant of the barrier strength between species remains the genetic architecture of reproductive isolation (i.e., the number of barrier loci and their level of recessivity and/or epistasis). Whether or not this differs between sex chromosomes and autosomes remains an open question. Finally, our predictions (which rely on the crucial assumption of rare introgression) may not fully apply to these empirical studies where the frequency of introgressing alleles must be sufficiently high to be detected. Table 3 definitely calls for further comparative analyses that hopefully would provide more robust patterns and a better understanding of their cause.

Limitations of the model

The present model investigates whether the chromosomal location of reproductive barriers (i.e., sex chromosomes vs autosomes) influences their capacity to impede interspecies genetic exchange, and ultimately, promote or undermine speciation. However, the rate of accumulation of barrier loci during species divergence may also vary with chromosomal location: the “faster-X theory” (Charlesworth et al. 1987) predicts that sex chromosomes (X or Z) evolve more rapidly than autosomes, and as a result, harbor more interspecific barriers. Here, we cannot shed light on the faster-X effect, because the number of reproductive barriers is a parameter of the model; we do not actually model the processes that cause them to accumulate in the first place. Extending our work to model an initial divergence phase would help understand to what extent the faster-X effect contributes to the role of sex chromosomes in speciation.

Our model of genetic exchange in a mainland-island setting rests on the assumption that the rate of migration is low relative to selection, so that hybrids remain rare. However, to account for the clinal structure of hybrid zones (Barton and Hewitt 1985) and the intermediate frequency of incompatible alleles at their center, it will be necessary to extend our model to more realistic spatial geometries, such as a stepping-stone model or a continuous habitat. This requires different theoretical frameworks that track genomes with multiple introgressed blocks (see Barton 1983; Barton and Bengtsson 1986), which is beyond the scope of this study. Moreover, in this situation, dominance of the incompatible alleles will become important; thus deviations from the simple expectation that introgression in the sex-linked case is the same as introgression in the autosomal case with appropriately rescaled parameters could arise.

Our analytical treatment is deterministic, i.e., assumes that populations are large enough that genetic drift can be neglected, which is, of course, unrealistic in most natural populations. Also, the outcomes of a hybridization event (where one or a few foreign genomes are introduced and randomly split by recombination) are stochastic (Baird et al. 2003). An extension of the model to include these stochastic processes will thus be necessary to understand the short-term evolution of hybrid genomes.

Another assumption is that all selected alleles are exclusively, and equally, deleterious in the recipient species. A more realistic model would consider allelic effects that vary along the chromosome (i.e., from globally adaptive to locally deleterious). Sachdeva and Barton (2018) studied this scenario by analyzing the introgression dynamics of an autosomal block with linked adaptive and deleterious variants with infinitesimal effects. Importantly, they demonstrated that in this case, deleterious variants can attain high frequency in the recipient species via hitchhiking with genomic blocks with net positive effect (see also Bisschop et al. 2020 for a simulation study). Thus, it would be informative to extend the present model to examine how hitchhiking with globally adaptive variants influences the relative barrier strengths of sex chromosomes vs autosomes.

Finally, we would also need to take into account the genome-wide reduction in the effective neutral gene flow due to loosely linked loci (which should affect different chromosomes to similar extents), and would thus further reduce the difference between sex chromosomes and autosomes in species with large genomes.

Acknowledgments

The computations were performed with the IST Austria High-Performance Computing (HPC) Cluster and the Institut Français de Bioinformatique (IFB) Core Cluster. We are grateful to Nick Barton and Beatriz Vicoso for critical comments on the model and the manuscript. We also thank Brian Charlesworth, Stuart Baird, and an anonymous reviewer for insightful comments.

Funding

C.F. was supported by an Austrian Science Foundation FWF grant (Project M 2463-B29).

Conflicts of interest

None declared.

Literature cited

  1. Avery PJ.  1984. The population genetics of haplo-diploids and X-linked genes. Genet Res. 44:321–341. [Google Scholar]
  2. Bachtrog D, Mahajan S, Bracewell R.  2019. Massive gene amplication on a recently formed Drosophila Y chromosome. Nat Ecol Evol. 3:1587–1597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bachtrog D, Mank JE, Peichel CL, Kirkpatrick M, Otto SP, et al.  2014. Sex determination: why so many ways of doing it?  PLoS Biol. 12:e1001899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Backström N, Väli Ü.  2011. Sex- and species-biased gene flow in a spotted eagle hybrid zone. BMC Evol Biol. 11:100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Baird S.  1995. A simulation study of multilocus clines. Evolution. 49:1038–1045. [DOI] [PubMed] [Google Scholar]
  6. Baird S, Barton N, Etheridge A.  2003. The distribution of surviving blocks of an ancestral genome. Theor Popul Biol. 64:451–471. [DOI] [PubMed] [Google Scholar]
  7. Baiz MD, Tucker PK, Cortés-Ortiz L.  2019. Multiple forms of selection shape reproductive isolation in a primate hybrid zone. Mol Ecol. 28:1056–1069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Barton N.  1983. Multilocus clines. Evolution. 37:454–471. [DOI] [PubMed] [Google Scholar]
  9. Barton N.  1995. Linkage and the limits to natural selection. Genetics. 140:821–841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Barton N, Bengtsson BO.  1986. The barrier to genetic exchange between hybridising populations. Heredity. 57:357–376. [DOI] [PubMed] [Google Scholar]
  11. Barton N, Hewitt GM.  1985. Analysis of hybrid zones. Annu Rev Ecol Syst. 16:113–148. [Google Scholar]
  12. Bengtsson BO.  1985. The flow of genes through a genetic barrier. In: Greenwood JJ, Harvey PH, Slatkin M, editors. Evolution Essays in Honour of John Maynard Smith. Cambridge: Cambridge University Press. p. 31–42. [Google Scholar]
  13. Betancourt AJ, Kim Y, Orr HA.  2004. A pseudohitchhiking model of X vs. autosomal diversity. Genetics. 168:2261–2269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Bisschop G, Setter D, Rafajlovic M, Baird SJ, Lohse K.  2020. The impact of global selection on local adaptation and reproductive isolation. Philos Trans R Soc B. 375:20190531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Bourgeois YX, Bertrand JA, Delahaie B, Holota H, Thébaud C, et al.  2020. Differential divergence in autosomes and sex chromosomes is associated with intra‐island diversification at a very small spatial scale in a songbird lineage. Mol Ecol. 29:1137–1153. [DOI] [PubMed]
  16. Carling MD, Lovette IJ, Brumfield RT.  2010. Historical divergence and gene flow: coalescent analyses of mitochondrial, autosomal and sex-linked loci in Passerina buntings. Evolution. 64:1762–1772. [DOI] [PubMed] [Google Scholar]
  17. Carneiro M, Blanco-Aguiar JA, Villafuerte R, Ferrand N, Nachman MW.  2010. Speciation in the European rabbit (Oryctolagus cuniculus): islands of differentiation on the X chromosome and autosomes. Evolution. 64:3443–3460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cattani MV, Presgraves DC.  2012. Incompatibility between X chromosome factor and pericentric heterochromatic region causes lethality in hybrids between Drosophila melanogaster and its sibling species. Genetics. 191:549–559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Charlesworth B.  1978. Model for evolution of Y chromosomes and dosage compensation. Proc Natl Acad Sci U S A. 75:5618–5622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Charlesworth B.  1998. Measures of divergence between populations and the effect of forces that reduce variability. Mol Biol Evol. 15:538–543. [DOI] [PubMed] [Google Scholar]
  21. Charlesworth B, Campos JL, Jackson BC.  2018. Faster-X evolution: theory and evidence from Drosophila. Mol Ecol. 27:3753–3771. [DOI] [PubMed] [Google Scholar]
  22. Charlesworth B, Coyne JA, Barton NH.  1987. The relative rates of evolution of sex chromosomes and autosomes. Am Nat. 130:113–146. [Google Scholar]
  23. Chu J-H, Wegmann D, Yeh C-F, Lin R-C, Yang X-J, et al.  2013. Inferring the geographic mode of speciation by contrasting autosomal and sex-linked genetic diversity. Mol Biol Evol. 30:2519–2530. [DOI] [PubMed] [Google Scholar]
  24. Coyne J, Orr AH.  1989. Two rules of speciation. In: Otte D, Endler J, editors. In Speciation and Its Consequences. Sunderland, MA: Sinauer Associates. p. 180–207. [Google Scholar]
  25. Cruickshank TE, Hahn MW.  2014. Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow. Mol Ecol. 23:3133–3157. [DOI] [PubMed] [Google Scholar]
  26. Dalquen DA, Zhu T, Yang Z.  2017. Maximum likelihood implementation of an isolation-with-migration model for three species. Syst Biol. 66:379–398. [DOI] [PubMed] [Google Scholar]
  27. Dhami KK, Joseph L, Roshier DA, Peters JL.  2016. Recent speciation and elevated Z-chromosome differentiation between sexually monochromatic and dichromatic species of Australian teals. J Avian Biol. 47:92–102. [Google Scholar]
  28. Dobzhansky TH.  1936. Studies on hybrid sterility. II. Localization of sterility factors in Drosophila pseudoobscura hybrids. Genetics. 21:113–135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Dobzhansky TH.  1937. Genetics and the Origin of Species. New York City: Columbia University Press. [Google Scholar]
  30. Fraïsse C, Elderfield J, Welch J.  2014. The genetics of speciation: are complex incompatibilities easier to evolve?  J Evol Biol. 27:688–699. [DOI] [PubMed] [Google Scholar]
  31. Frank SA.  1991. Divergence of meiotic drive-suppression systems as an explanation for sex-biased hybrid sterility and inviability. Evolution. 45:262–267. [DOI] [PubMed] [Google Scholar]
  32. Fuller ZL, Leonard CJ, Young RE, Schaeffer SW, Phadnis N.  2018. Ancestral polymorphisms explain the role of chromosomal inversions in speciation. PLoS Genet. 14:e1007526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Galla SJ, Johnson JA.  2015. Differential introgression and effective size of marker type influence phylogenetic inference of a recently divergent avian group (Phasianidae: Tympanuchus). Mol Phylogenet Evol. 84:1–13. [DOI] [PubMed] [Google Scholar]
  34. Geneva AJ, Muirhead CA, Kingan SB, Garrigan D.  2015. A new method to scan genomes for introgression in a secondary contact model. PLoS One  10:e0118621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Ginsberg PS, Humphreys DP, Dyer KA.  2019. Ongoing hybridization obscures phylogenetic relationships in the Drosophila subquinaria species complex. J Evol Biol. 32:1093–1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Graves JAM.  2014. Avian sex, sex chromosomes, and dosage compensation in the age of genomics. Chromosome Res. 22:45–57. [DOI] [PubMed] [Google Scholar]
  37. Greenwood PJ.  1980. Mating systems, philopatry and dispersal in birds and mammals. Anim Behav. 28:1140–1162. [Google Scholar]
  38. Gu L, Walters JR.  2017. Evolution of sex chromosome dosage compensation in animals: a beautiful theory, undermined by facts and bedeviled by details. Genome Biol Evol. 9:2461–2476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Haldane JBS.  1922. Sex ratio and unisexual sterility in hybrid animals. J Gen. 12:101–109. [Google Scholar]
  40. Haldane JBS.  1926. A mathematical theory of natural and artificial selection. Part III. Math Proc Camb Phil Soc. 23:363–372. [Google Scholar]
  41. Hedrick PW.  2007. Sex: differences in mutation, recombination, selection, gene flow, and genetic drift. Evolution. 61:2750–2771. [DOI] [PubMed] [Google Scholar]
  42. Herrig DK, Modrick AJ, Brud E, Llopart A.  2014. Introgression in the Drosophila subobscura–D. madeirensis sister species: evidence of gene flow in nuclear genes despite mitochondrial differentiation. Evolution. 68:705–719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Höllinger I, Hermisson J.  2017. Bounds to parapatric speciation: a Dobzhansky-Muller incompatibility model involving autosomes, X chromosomes, and mitochondria. Evolution. 71:1366–1380. [DOI] [PubMed] [Google Scholar]
  44. Hogner S, Saether SA, Borge T, Bruvik T, Johnsen A, et al.  2012. Increased divergence but reduced variation on the Z chromosome relative to autosomes in Ficedula flycatchers: differential introgression or the faster-Z effect?  Ecol Evol. 2:379–396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Hooper DM, Griffith SC, Price TD.  2019. Sex chromosome inversions enforce reproductive isolation across an avian hybrid zone. Mol Ecol. 28:1246–1262. [DOI] [PubMed] [Google Scholar]
  46. Hurst LD, Pomiankowski A.  1991. Causes of sex ratio bias may account for unisexual sterility in hybrids: a new explanation of Haldane’s rule and related phenomena. Genetics. 128:841–858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Hvala JA, Frayer ME, Payseur BA.  2018. Signatures of hybridization and speciation in genomic patterns of ancestry. Evolution. 72:1540–1552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kapopoulou A, Kapun M, Pavlidis P, Pieper B, Wilches R.  2018. Early split between African and European populations of Drosophila melanogaster. (Preprint posted 2018 June 6). bioRxiv 340422. doi:10.1101/340422.
  49. Knief U, Bossu CM, Saino N, Hansson B, Poelstra J, et al.  2019. Epistatic mutations under divergent selection govern phenotypic variation in the crow hybrid zone. Nat Ecol Evol. 3:570–576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Langley CH, Montgomery E, Hudson R, Kaplan N, Charlesworth B.  1988. On the role of unequal exchange in the containment of transposable element copy number. Genet Res. 52:223–235. [DOI] [PubMed] [Google Scholar]
  51. Larson EL, White TA, Ross CL, Harrison RG.  2014. Gene flow and the maintenance of species boundaries. Mol Ecol. 23:1668–1678. [DOI] [PubMed] [Google Scholar]
  52. Lawson DJ, Hellenthal G, Myers S, Falush D.  2012. Inference of population structure using dense haplotype data. PLoS Genet. 8:e1002453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Lenormand T, Dutheil J.  2005. Recombination difference between sexes: a role for haploid selection. PLoS Biol. 3:e63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Lindtke D, Buerkle CA.  2015. The genetic architecture of hybrid incompatibilities and their effect on barriers to introgression in secondary contact. Evolution. 69:1987–2004. [DOI] [PubMed] [Google Scholar]
  55. Liu KJ, Steinberg E, Yozzo A, Song Y, Kohn MH, et al.  2015. Interspecific introgressive origin of genomic diversity in the house mouse. Proc Natl Acad Sci U S A. 112:196–201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Llopart A, Brud E, Pettie N, Comeron JM.  2018. Support for the dominance theory in Drosophila transcriptomes. Genetics. 210:703–718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Mahajan S, Bachtrog D.  2015. Partial dosage compensation in Strepsiptera, a sister group of beetles. Genome Biol Evol. 7:591–600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Maheshwari S, Barbash DA.  2011. The genetics of hybrid incompatibilities. Annu Rev Genet. 45:331–355. [DOI] [PubMed] [Google Scholar]
  59. Mallet MA, Bouchard JM, Kimber CM, Chippindale AK.  2011. Experimental mutation-accumulation on the X chromosome of Drosophila melanogaster reveals stronger selection on males than females. BMC Evol Biol. 11.: 156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Mank JE.  2013. Sex chromosome dosage compensation: definitely not for everyone. Trends Genet. 29:677–683. [DOI] [PubMed] [Google Scholar]
  61. Mank JE, Vicoso B, Berlin S, Charlesworth B.  2010. Effective population size and the faster-X effect: empirical results and their interpretation. Evolution. 64:663–674. [DOI] [PubMed] [Google Scholar]
  62. Manthey JD, Spellman GM.  2014. Increased differentiation and reduced gene flow in sex chromosomes relative to autosomes between lineages of the brown creeper Certhia americana. J Avian Biol. 45:149–156. [Google Scholar]
  63. Masly JP, Presgraves DC.  2007. High-resolution genome-wide dissection of the two rules of speciation in Drosophila. PLoS Biol. 5:e243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Matsubara K, Yamamoto E, Mizobuchi R, Yonemaru J-I, Yamamoto T, et al.  2015. Hybrid breakdown caused by epistasis-based recessive incompatibility in a cross of rice (Oryza sativa l.). J Hered. 106:113–122. [DOI] [PubMed] [Google Scholar]
  65. Meisel RP, Connallon T.  2013. The faster-X effect: integrating theory and data. Trends Genet. 29:537–544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Muirhead CA, Presgraves DC.  2016. Hybrid incompatibilities, local adaptation, and the genomic distribution of natural introgression between species. Am Nat. 187:249–261. [DOI] [PubMed] [Google Scholar]
  67. Muller HJ.  1940. Bearing of the Drosophila work on systematics. In: Huxley J, editor. The New Systematics. Oxford: Clarendon Press. p. 185–268. [Google Scholar]
  68. Nei M, Li W-H.  1979. Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci U S A. 76:5269–5273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Oswald JA, Harvey MG, Remsen RC, Foxworth DU, Dittmann DL, et al.  2019. Evolutionary dynamics of hybridization and introgression following the recent colonization of glossy ibis (Aves: Plegadis falcinellus) into the new world. Mol Ecol. 28:1675–1691. [DOI] [PubMed] [Google Scholar]
  70. Patterson N, Moorjani P, Luo Y, Mallick S, Rohland N, et al.  2012. Ancient admixture in human history. Genetics. 192:1065–1093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Payseur BA, Presgraves DC, Filatov DA.  2018. Sex chromosomes and speciation. Mol Ecol. 27:3745–3748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Phadnis N, Orr HA.  2009. A single gene causes both male sterility and segregation distortion in Drosophila hybrids. Science. 323:376–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Pons J-M, Masson C, Olioso G, Fuchs J.  2019. Gene flow and genetic admixture across a secondary contact zone between two divergent lineages of the Eurasian green woodpecker Picus viridis. J Ornithol. 160:935–945. [Google Scholar]
  74. Presgraves DC.  2010. The molecular evolutionary basis of species formation. Nat Rev Genet. 11:175–180. [DOI] [PubMed] [Google Scholar]
  75. Presgraves DC.  2018. Evaluating genomic signatures of the large X-effect during complex speciation. Mol Ecol. 27:3822–3830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Rafati N, Blanco-Aguiar JA, Rubin CJ, Sayyab S, Sabatino SJ, et al.  2018. A genomic map of clinal variation across the European rabbit hybrid zone. Mol Ecol. 27:1457–1478. [DOI] [PubMed] [Google Scholar]
  77. Ravinet M, Faria R, Butlin R, Galindo J, Bierne N, et al.  2017. Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow. J Evol Biol. 30:1450–1477. [DOI] [PubMed] [Google Scholar]
  78. Roux C, Tsagkogeorga G, Bierne N, Galtier N.  2013. Crossing the species barrier: genomic hotspots of introgression between two highly divergent Ciona intestinalis species. Mol Biol Evol. 30:1574–1587. [DOI] [PubMed] [Google Scholar]
  79. Sachdeva H, Barton NH.  2018. Introgression of a block of genome under infinitesimal selection. Genetics. 209:1279–1303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Satomura K, Osada N, Endo T.  2019. Achiasmy and sex chromosome evolution. Ecol Genet Genom. 13:100046. [Google Scholar]
  81. Schilthuizen M, Giesbers M, Beukeboom L.  2011. Haldane’s rule in the 21st century. Heredity. 107:95–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Sciuchetti L, Dufresnes C, Cavoto E, Brelsford A, Perrin N.  2018. Dobzhansky-Muller incompatibilities, dominance drive, and sex-chromosome introgression at secondary contact zones: a simulation study. Evolution. 72:1350–1361. [DOI] [PubMed] [Google Scholar]
  83. Sethuraman A, Sousa V, Hey J.  2019. Model-based assessments of differential introgression and linked natural selection during divergence and speciation. (Preprint posted 2019 September 30). bioRxiv 786038. doi:10.1101/786038.
  84. Sharp NP, Agrawal AF.  2013. Male-biased fitness effects of spontaneous mutations in Drosophila melanogaster. Evolution. 67:1189–1195. [DOI] [PubMed] [Google Scholar]
  85. Singh A, Punzalan D.  2018. The strength of sex-specific selection in the wild. Evolution. 72:2818–2824. [DOI] [PubMed] [Google Scholar]
  86. Sousa V, Hey J.  2013. Understanding the origin of species with genome-scale data: modelling gene flow. Nat Rev Genet. 14:404–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Steinrücken M, Spence JP, Kamm JA, Wieczorek E, Song YS.  2018. Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans. Mol Ecol. 27:3873–3888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Storchová R, Reif J, Nachman MW.  2010. Female heterogamety and speciation: reduced introgression of the Z chromosome between two species of nightingales. Evolution. 64:456–471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Taylor SA, Anderson DJ, Friesen VL.  2013. Evidence for asymmetrical divergence-gene flow of nuclear loci, but not mitochondrial loci, between seabird sister species: blue-footed (Sula nebouxii) and Peruvian (S. variegata) boobies. PLoS One. 8:e62256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Taylor SA, Curry RL, White TA, Ferretti V, Lovette I.  2014. Spatiotemporally consistent genomic signatures of reproductive isolation in a moving hybrid zone. Evolution. 68:3066–3081. [DOI] [PubMed] [Google Scholar]
  91. Trier CN, Hermansen JS, Sætre G-P, Bailey RI.  2014. Evidence for mito-nuclear and sex-linked reproductive barriers between the hybrid Italian sparrow and its parent species. PLoS Genet. 10:e1004075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Trochet A, Courtois EA, Stevens VM, Baguette M, Chaine A, et al.  2016. Evolution of sex-biased dispersal. Q Rev Biol. 91:297–320. [DOI] [PubMed] [Google Scholar]
  93. Turelli M, Orr HA.  1995. The dominance theory of Haldane’s rule. Genetics. 140:389–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Turelli M, Orr HA.  2000. Dominance, epistasis and the genetics of postzygotic isolation. Genetics. 154:1663–1679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Turissini DA, Matute DR.  2017. Fine scale mapping of genomic introgressions within the Drosophila yakuba clade. PLoS Genet. 13:e1006971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Vicoso B, Charlesworth B.  2009. Effective population size and the faster-X effect: an extended model. Evolution. 63:2413–2426. [DOI] [PubMed] [Google Scholar]
  97. Wang L, Luzynski K, Pool JE, Janousek V, Dufková P, et al.  2011. Measures of linkage disequilibrium among neighbouring SNPs indicate asymmetries across the house mouse hybrid zone. Mol Ecol. 20:2985–3000. [DOI] [PubMed] [Google Scholar]
  98. Wang R-X.  2013. Gene flow across a hybrid zone maintained by a weak heterogametic incompatibility and positive selection of incompatible alleles. J Evol Biol. 26:386–398. [DOI] [PubMed] [Google Scholar]
  99. Wang W, Dai C, Alström P, Zhang C, Qu Y, et al.  2014. Past hybridization between two East Asian long-tailed tits (Aegithalos bonvaloti and A. fuliginosus). Front Zool. 11:40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Watson ET, Demuth JP.  2012. Haldane’s rule in Marsupials: what happens when both sexes are functionally hemizygous?  J Hered. 103:453–458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Weir BS, Cockerham CC.  1984. Estimating F-statistics for the analysis of population structure. Evolution. 38:1358–1370. [DOI] [PubMed] [Google Scholar]
  102. Wilkinson-Herbots HM.  2008. The distribution of the coalescence time and the number of pairwise nucleotide differences in the isolation-with-migration model. Theor Popul Biol. 73:277–288. [DOI] [PubMed] [Google Scholar]
  103. Wong Miller KM, Bracewell RR, Eisen MB, Bachtrog D.  2017. Patterns of genome-wide diversity and population structure in the Drosophila athabasca species complex. Mol Biol Evol. 34:1912–1923. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

Supplementary material is available at figshare DOI: https://doi.org/10.25386/genetics.13296557.


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