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Repeated Adaptive Introgression at a Gene under Multiallelic Balancing Selection

  • Vincent Castric ,

    Contributed equally to this work with: Vincent Castric, Jesper Bechsgaard

    Vincent.Castric@univ-lille1.fr

    Affiliation Université des Sciences et Technologies de Lille 1, Laboratoire Génétique et Evolution des Populations Végétales, CNRS UMR 8016, France

  • Jesper Bechsgaard ,

    Contributed equally to this work with: Vincent Castric, Jesper Bechsgaard

    Affiliation Ecology and Genetics, Institute of Biological Sciences, University of Aarhus, Denmark

  • Mikkel H. Schierup,

    Affiliation Ecology and Genetics, Institute of Biological Sciences, University of Aarhus, Denmark

  • Xavier Vekemans

    Affiliation Université des Sciences et Technologies de Lille 1, Laboratoire Génétique et Evolution des Populations Végétales, CNRS UMR 8016, France

Repeated Adaptive Introgression at a Gene under Multiallelic Balancing Selection

  • Vincent Castric, 
  • Jesper Bechsgaard, 
  • Mikkel H. Schierup, 
  • Xavier Vekemans
PLOS
x

Abstract

Recently diverged species typically have incomplete reproductive barriers, allowing introgression of genetic material from one species into the genomic background of the other. The role of natural selection in preventing or promoting introgression remains contentious. Because of genomic co-adaptation, some chromosomal fragments are expected to be selected against in the new background and resist introgression. In contrast, natural selection should favor introgression for alleles at genes evolving under multi-allelic balancing selection, such as the MHC in vertebrates, disease resistance, or self-incompatibility genes in plants. Here, we test the prediction that negative, frequency-dependent selection on alleles at the multi-allelic gene controlling pistil self-incompatibility specificity in two closely related species, Arabidopsis halleri and A. lyrata, caused introgression at this locus at a higher rate than the genomic background. Polymorphism at this gene is largely shared, and we have identified 18 pairs of S-alleles that are only slightly divergent between the two species. For these pairs of S-alleles, divergence at four-fold degenerate sites (K = 0.0193) is about four times lower than the genomic background (K = 0.0743). We demonstrate that this difference cannot be explained by differences in effective population size between the two types of loci. Rather, our data are most consistent with a five-fold increase of introgression rates for S-alleles as compared to the genomic background, making this study the first documented example of adaptive introgression facilitated by balancing selection. We suggest that this process plays an important role in the maintenance of high allelic diversity and divergence at the S-locus in flowering plant families. Because genes under balancing selection are expected to be among the last to stop introgressing, their comparison in closely related species provides a lower-bound estimate of the time since the species stopped forming fertile hybrids, thereby complementing the average portrait of divergence between species provided by genomic data.

Author Summary

The role of natural selection in promoting or preventing genomic divergence between nascent species remains highly debated. As long as reproductive barriers remain incomplete, genetic material from one species is indeed exposed to natural selection into the genomic background of the other species. In some cases, genomic co-adaptations developing independently in each species are believed to select against such transfers. Yet, theory predicts that the transfer of some chromosomal fragments may be favored by natural selection. In particular, this should occur for alleles at genes evolving under a particular form of natural selection, i.e., multi-allelic balancing selection. We test this prediction using two closely related Arabidopsis species, and find a four-fold lower divergence at alleles at the gene controlling pistil self-incompatibility specificity than at the genomic background. We conclude that alleles at this gene have been transferred more readily between the two species than the genomic background. We suggest that natural selection may efficiently allow the maintenance of high allelic diversity and divergence across many species at S-loci as well as at all other loci under multi-allelic balancing selection, such as the MHC in vertebrates or disease resistance genes in plants.

Introduction

The genomes of incipient species diverge at heterogeneous rates, and recently diverged model species are key systems to investigate the causes of this heterogeneity [1][3]. Hybridization followed by introgression between recently diverged plant and animal species with incomplete reproductive barriers is one of the main processes generating the genomic heterogeneity in species divergence [4]. Indeed, some regions appear to be crossing the species barriers more readily than the genomic background (in Helianthus [5], Anopheles [6], Quercus [7], Mytilus [8], Mus [9] and Drosophila [10]). Although much of this heterogeneity may be accounted for by stochasticity of the genetic drift process, natural selection may also play an important role. In particular, because introgressive hybridization brings genetic material from one species into the co-adapted background of another species, some chromosomal fragments are expected to be selected against and resist introgression [11].

On the other hand, selection can also promote introgression when a transferred chromosome fragment is advantageous in the recipient species. In such a situation, introgression can potentially mediate the transfer of adaptations. Examples of adaptive introgression involving the transfer of transgenes conferring adaptations such as herbicide or insect resistance via hybridization with close relatives of crop species [12] have been documented, but other examples in natural populations are strikingly rare [13]. In the Louisiana Iris species complex for instance, detailed experimental studies provided support for the transfer of adaptations (flood and shade tolerance) between Iris fulva and I. hexagona [14]. In Helianthus, a recent experimental study reported that herbivore resistance traits have introgressed from Heliantus debilis to H. annuus, thereby increasing adaptation of their naturally occurring hybrid H. annuus taxanus [15]. All these documented examples are thus associated with strong directional selection for adaptive traits recently evolved in one of the species and then transmitted horizontally. Theory predicts that adaptive introgression should also be a general property of alleles at genes evolving under multi-allelic balancing selection, such as the vertebrate MHC system, plant disease resistance or self-incompatibility (SI) genes [16]. In these systems, rare alleles enjoy a strong selective advantage [17]. Assuming that a given allele is absent from one of two related species, introgression of this allele would then be as strongly favored as a new allele arising by mutation, unless this is impeded by linked genes that are not well adapted to the recipient species. Thus, in multi-allelic systems evolving under balancing selection, repeated exchanges of alleles promoted by adaptive introgression may be expected between closely related species, as long as fertile hybrids can be formed. Therefore, in the course of evolution of strong reproductive isolation between incipient species, such genomic regions should be among the last to stop introgressing.

In this study, we test whether multi-allelic balancing selection mediates introgression between closely related species. We do this by contrasting divergence of a portion of the gene controlling self-incompatibility specificity (SRK) with the background level of genomic divergence in two closely related plant species. The study system consists of two closely related Arabidopsis species, A. lyrata and A. halleri, whose genomes diverged approximately 2 million years ago [18]. The two species have overlapping distributions in Northern Europe [19] and relatively recent introgression has been demonstrated for a small fraction of nuclear genes [20]. SI prevents self-fertilization and some matings among relatives through recognition and rejection of pollen expressing identical specificity. Molecular and genetic analyses of the self-incompatibility locus (S-locus) in A. lyrata and A. halleri identified many specificities, and the SRK sequences often form monophyletic pairs of high sequence similarity, each of which probably represent the same SI specificity in the two species derived from one specificity in their common ancestor. We refer to these pairs as trans-specifically shared pairs of S-alleles. We use divergence at fourfold degenerate sites between alleles within trans-specifically shared pairs to estimate the divergence corresponding to the time of the last introgression event for S-alleles between the two species, and we find that introgression has occurred at a higher rate or continued over more extended periods of time at the S-locus than at the rest of the nuclear genome.

Results

Extent of trans-Specific Allele Sharing at SRK

Our species-wide survey of sequence diversity reveals that a large fraction of alleles at the pistil self-incompatibility specificity-determining gene SRK (S-locus receptor kinase) are trans-specifically shared between the two species (Figure 1). Overall, we find 30 sets of SRK sequences in A. halleri and 38 sets of SRK sequences in A. lyrata. As is typical for S-alleles [21], the sequences fall into sets of nearly identical ones (presumably representing the same specificity, [21][23]) and ones with many differences from all other sequences (presumably representing functionally distinct specificities), with the most similar pairs within A. halleri and A. lyrata showing 44 and 51 differences, respectively, over a total of about 570 nucleotides. We then compared nucleotide sequences between S-alleles from the two species and find that the mismatch distribution (Figure 2) is clearly bimodal. Most comparisons are in line with intraspecific comparisons and range between 45 and 218 differences over a total of about 570 nucleotides (see also Figure S5), but the distribution shows a distinct set of 18 highly similar interspecific pairs of sequences (indicated by brackets in Figure 1) with at most 12 nucleotide differences. The numbers of non-synonymous differences within the 18 highly similar pairs of S-alleles ranged from 0 to 9 over a total of 380 non-synonymous sites. These sequences are more similar than pairs of alleles known to have retained the same specificity when comparing the closely related Brassica oleracea and B. rapa [24][27]. Even if these sequences currently occur in two different (but closely related) species, we therefore hypothesize that these pairs have retained identical specificity. We refer to these 18 pairs of S-alleles as “trans-specifically shared” pairs of alleles and note that they represent 60% and 47% of S-alleles found to date in A. halleri and A. lyrata, respectively. Two of these pairs (AlSRK37/AhSRK04 and AlSRK16/AhSRK10) were previously identified and shown additionally to be shared trans-specifically with A. thaliana [28]. Phylogenetic reconstructions show that both synonymous (Figure S2) and non-synonymous (Figure S3) differences are strikingly low within trans-specifically shared pairs and high among pairs. Note that, by definition, SRK alleles we consider as trans-specific pairs are determined based on those S allele pairs that have the fewest differences, so the procedure could potentially lead to ascertainment bias. Yet, close examination of the next best candidates (AhSRK03/AlSRK28, AhSRK28/AlSRK03, AhSRK23/AlSRK06 and AhSRK20/AlSRK04, Figure 1) suggests that none of these pairs is likely to represent pairs of trans-specifically shared alleles (detailed arguments are presented in Text S1).

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Figure 1. Phylogeny of the 68 SRK sequences of A. lyrata and A. halleri.

The phylogeny was obtained by the neighbour-joining method on pairwise proportion of nucleotide divergence after Jukes-Cantor's correction. Brackets indicate interspecific pairs of sequences assumed to represent “trans-specifically shared S-alleles”, i.e. alleles assumed to have evolved from a single S-allele in the direct ancestor of A. lyrata and A. halleri.

https://doi.org/10.1371/journal.pgen.1000168.g001

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Figure 2. Distribution of the number of pairwise nucleotide differences for SRK sequences in interspecific comparisons between A. halleri and A. lyrata.

Note the distinct peak of highly similar sequences observed. The vertical arrow represents the chosen threshold to define “trans-specifically shared” pairs of sequences (≤12 nucleotide differences). Note also that the two pairs of sequences with intermediate nucleotide differences (45 between AlSRK03 and AhSRK28, and 50 between AlSRK28 and AhSRK03) cannot represent trans-specifically shared S-alleles because they are not monophyletic (see Figure 1).

https://doi.org/10.1371/journal.pgen.1000168.g002

Divergence within trans-Specifically Shared Pairs of S-Alleles

Within SRK, several hypervariable (HV) regions have been identified in the domain responsible for binding the pollen protein (S-domain) and shown to be targets of positive selection, suggesting they are involved in determination of specificity [29],[30]. Accordingly, HV regions from different specificities within species typically show an excess of non-synonymous substitutions [29],[31],[32]. In sharp contrast, we find that as compared to synonymous differences, non-synonymous differences are relatively less frequent in HV regions than in non-HV regions (on average 0.7 and 2.3 differences in HV and non-HV regions respectively for non-synonymous differences, versus 1.1 and 1.6 differences respectively for synonymous differences, Table 1). This contrast is significant by Fisher's exact test of independence (odds ratio = 2.5, p = 0.029), suggesting that sequence pairs that putatively encode the same specificity tend to have similar HV region sequences for non-synonymous sites, but might differ at synonymous sites in these regions, whereas other regions may differ at both types of sites.

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Table 1. Divergence between Arabidopsis halleri and A. lyrata at trans-specifically shared SRK alleles at synonymous (KS), non synonymous (KA) and fourfold degenerate sites (K4fold).

https://doi.org/10.1371/journal.pgen.1000168.t001

If introgression occurs, then divergence might also be affected by the dominance of the S-alleles. Indeed, complex patterns of dominance relationships generally occur among alleles in sporophytic SI systems [33] and Billiard et al. [34] reported asymmetric selective pressures for dominant and recessive S-alleles because rare dominant S-alleles will tend to express their specificity more often than rare recessive ones (a process similar to “Haldane's sieve”-the bias against the establishment of recessive beneficial mutations [35],[36]). Hypothesizing that the introgression rate thus differs between dominant and recessive S-alleles, we tested for an effect of dominance on divergence between the two species. The range of variation observed for nucleotide differences across pairs of trans-specifically shared S-alleles cannot be explained fully by the stochasticity of the substitution process (Fisher's dispersion index = 2.03, P = 0.0103), but there was no obvious relationship between number of nucleotide differences and level of dominance of the S-alleles, as inferred from the phylogeny of alleles as suggested by [37]. Thus, we find no evidence that dominance affects S-allele divergence between the two species.

Comparison of Introgression Rate between S-Locus and Genomic Background

To test whether balancing selection resulted in adaptive introgression of S-alleles between the two species, we compared levels of divergence at fourfold degenerate sites between trans-specifically shared S-alleles with that of the genomic background, estimated from twelve unlinked control genes and two S-gene family members. These two sets of control genes give similar mean values of divergence (K4fold = 0.0743 and K4fold = 0.0904, respectively, Table 2), which are about four times higher than the average for trans-specifically shared pairs of S-alleles (K4fold = 0.0193, Table 1).

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Table 2. Divergence between Arabidopsis halleri and A. lyrata at reference genes and members of the S-gene family at fourfold degenerate sites (K4fold).

https://doi.org/10.1371/journal.pgen.1000168.t002

Because a large number of S-alleles are actively maintained within species by balancing selection, each S-allele has individually a small effective population size [21]. Thus, estimates of divergence for S-alleles and reference genes cannot be compared directly because of differences in effective population sizes (Figure 3). To take this into account, we used coalescent simulations to test whether our data are compatible with a null model of speciation (the “isolation with migration” model of Nielsen and Wakeley, [38]) that assumes identical introgression rate for S-alleles and the genomic background. Under this model, we first used previously published species-wide polymorphism data in A. halleri and A. lyrata from [20],[39],[40] to estimate rates of introgression, splitting time t as well as θA = 4NAμ, where NA is the effective population size in their common ancestor and μ the substitution rate. The maximum likelihood estimates for directional rates of introgression are mhal→lyr = 2.775×10−7, mlyr→hal = 2.912×10−7, and θA = 1.7975 (Table 3). The t estimate is 2,533,980 years [1,307,952–5,166,833], which is entirely consistent with the previous 2 Myrs estimate by Koch & Matschinger [18]. All estimates converge satisfactorily based on 10 replicate runs with different random seeds. To single out the NA estimate, we then used A. thaliana as outgroup to obtain a substitution rate at fourfold degenerate sites of μ = 1.296×10−8 substitutions per nucleotide per year ([9.218×10−9–1.781×10−8] as 95% credible interval). The resulting estimate for NA is 253,892 with [13,772–663,510] as 95% credible interval. Based on these parameters, we then simulated the evolution of two species exchanging migrants at the rate estimated above. The simulations were entirely consistent with the data for the genomic background (K = 0.0678 [0.0423–0.0955], Figure 4). In sharp contrast, conservatively assuming a reduction of effective population size for S-alleles by a factor 50 (as expected if 50 different S-alleles segregate in each species) only led to a modest reduction in divergence (K = 0.0465, Figure 4), whose 95% credible interval [0.0305–0.0640] did not comprise the observed value for K (K4fold = 0.0193). Hence, the data are not consistent with equal introgression for S-alleles and the genomic background. This result is robust to the conservative use of the lower boundary of the 95%CI for either NA or t. Increasing the rates of introgression for S-alleles led to a sharp reduction in divergence between A. halleri and A. lyrata. The simulations best fitted the data when the directional rates of introgression were empirically increased for S-alleles by a factor 5, with divergence value closely approaching the observed data (K = 0.0182, Figure 4). A simpler analysis also confirmed that average net interspecific divergence [41] for S-alleles was lower than that at the genomic background (Text S1).

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Figure 3. Divergence process between Arabidopsis lyrata, A. halleri and A. thaliana at unlinked genes (genomic background) and trans-specifically shared pairs of S-alleles.

Divergence times were taken from Koch et al. [18],[58]. θlyrata, θhalleri and θA, refer to polymorphism (θ = 4Nμ· in A. lyrata, A. halleri and their common ancestor. As compared to unlinked genes, divergence between trans-specifically shared S-alleles is affected by two confounding factors: (1) lower effective population size than the genomic background reducing coalescence time in the ancestral species, and (2) expected higher introgression as represented by thicker dark grey arrows.

https://doi.org/10.1371/journal.pgen.1000168.g003

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Figure 4. Predicted nucleotide divergence between A. halleri and A. lyrata for the genomic background (grey line), S-alleles with the same rate of introgression as the genomic background (dotted line) and S-alleles with 5-fold increased rate of introgression relative to the genomic background (black line).

10,000 coalescent simulations were performed for each case using maximum likelihood parameter estimates obtained under the “isolation with migration” model, except for the dotted line, where the 2.5% low ancestral population size estimate was used in order to be conservative. Observed nucleotide divergence for the genomic background and S-alleles are represented by grey and black stars on the x-axis, respectively.

https://doi.org/10.1371/journal.pgen.1000168.g004

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Table 3. Estimates of θ = 4, effective population sizes, splitting time and rates of introgression using the isolation with migration model [38].

https://doi.org/10.1371/journal.pgen.1000168.t003

For three pairs of S-alleles (AlSRK01/AhSRK01, AlSRK34/AhSRK05, AlSRK37/AhSRK04) we also surveyed intra-allelic variation in at least 10 copies from each species. We found very little diversity among allelic copies within each surveyed allele in each species (average synonymous diversity = 0.0064, data not shown) in accordance with their low expected effective population sizes. We examined the sequences for shared polymorphisms, and found none in any of these S-allele pairs. This suggests old and infrequent, rather than recent, introgression events since the separation of A. lyrata and A. halleri. Moreover, the estimated divergence among pairs of S-alleles was more heterogeneous than expected based on the Poisson distribution, suggesting that the last introgression event occurred at different times for different alleles.

Discussion

Impact of Founder Events at Speciation

The possibility of introgression of S-alleles may have important consequences for the extent of allelic diversity maintained within self-incompatible species. If introgression occurs, hybridizing species effectively share a common pool of S-alleles. If hybridization is restricted, the two species together can maintain more S-alleles than each species individually [42]. Such a process could be especially important in the first stages of the split because reproductive barriers may then be more leaky, and also because allelic diversity at the S-locus within incipient species may be decreased if founding events were associated with speciation. This process could be responsible for maintaining many highly divergent allelic lineages at the S locus within plant families, where trans-generic sharing of allelic lineages seems to be the rule, and loss of ancestral allelic lineages through strong bottlenecks within particular genera the exception, as has been described in the Solanaceae [43].

It can therefore be misleading to use a species' extant number of lineages at a gene under balancing selection to estimate the minimum population size at speciation. For instance, using polymorphism data for MHC in humans, Takahata [44] predicted that the number of breeding individuals in the human lineage could not be as small as 50-100 at any time of its evolutionary history, assuming two extant ancestral allelic lineages at HLA-B. According to our hypothesis of adaptive introgression mediated by balancing selection, variation can be efficiently “rescued”, and stronger founder events at speciation would still be compatible with extant variation at HLA-B, if some interbreeding occurred with the chimpanzee lineage after the split. Although identifying the functional types of alleles may not be simple in that case (and recombination may confine the effect of balancing selection to a small region around the selected sites themselves), a detailed analysis of MHC alleles in the great apes would be of great interest to survey whether adaptive introgression mediated by balancing selection has indeed occurred in primates.

Shared Chloroplast Haplotypes: Distinguishing between Introgression and Ancestral Polymorphism

A recent study by Koch and Matschinger [18] reported that, whereas A. lyrata and A. halleri were well separated in phylogenetic trees based on the nuclear encoded ITS region, several cpDNA haplotypes are shared between both species [18]. This was interpreted as ancestral polymorphism segregating for the chloroplast but not the nucleus. However, this interpretation is at odds with the smaller effective population size expected for the chloroplast (approximately 1/2 for hermaphroditic species, [45]) and the consequent low expected variability. Indeed most studies in plants have found low sequence diversity for chloroplast genes, taking into account their low mutation rate [46], and also stronger differentiation among populations for chloroplast than nuclear markers [47]. In line with our results from S-alleles, we suggest the alternative interpretation that introgression occurred more readily for the chloroplast than nuclear genes, as has been reported in several instances (e.g. [48],[49]). The haplotype network of chloroplast sequences reported by Koch and Matschinger [18] also showed greater sharing of more basal haplotypes, suggesting that chloroplast introgression has become less common in recent times.

Evolution of New Specificities of Self-Incompatibility Genes

Our results also shed light on the evolution of self-incompatibility specificities. Indeed, our data strongly suggest that purifying selection prevents the substitution of non-synonymous differences within HV regions, supporting a role for these regions in determining specificity. More specifically, the strength of purifying selection seems higher on the HV regions than on the rest of the sequence, and this could be related to strong selection against mutations altering specificities. Mechanisms selecting against mutant S-alleles with altered pistil specificities have been discussed by Uyenoyama et al. [50].

Inter-species exchanges of S-alleles may, however, be important in the evolution of new specificities. Chookajorn et al. [51] suggested that new specificities could evolve if sufficient variation could be maintained within the pollen (or pistil) S gene for enough time to allow variants of the other gene to co-evolve with them. Due to the small effective population size of individual S-alleles, this hypothesis requires population structure with very limited migration [16]. Speciation with some introgression of S-alleles leads to precisely the strongly subdivided population needed for this mechanism to work. Under this hypothesis, two alleles could slowly evolve to different specificities in two isolated species and then add to the number of S-alleles in each species after reciprocal introgression. Data testing the specificities of sequence pairs in the two species that differ at few amino acids might help determine whether new specificities have indeed arisen in one species or the other since they split.

Material and Methods

Extent of trans-Specific Allele Sharing at SRK

We surveyed sequence diversity at SRK in two species-wide samples in A. halleri and A. lyrata over a total of about 570 nucleotides from the 3′ end of the S-domain using the strategy detailed in [31]. We identified and sequenced five and eight new putative S-alleles in A. halleri and A. lyrata, respectively. Overall, we analyzed 30 SRK sequences in A. halleri and 38 sequences in A. lyrata. In each case, the nucleotide sequence was obtained as a consensus over three independently obtained sequence products. All identified sequences in A. halleri and A. lyrata were amino-acid translated and aligned by ClustalW in BioEdit 7.0.5 [52] and adjusted by eye. On the overall set of sequences at SRK, we used MEGA 4 [53] to reconstruct a phylogeny using the Neighbor-Joining method based on the total number of differences per site or on the number of either synonymous or non-synonymous differences.

Divergence within trans-Specifically Shared Pairs of S-Alleles

Within each pair of trans-specifically shared sequences at SRK, we estimated the number of synonymous nucleotide differences per synonymous site between the A. halleri and the A. lyrata copy using the method of [54] with MEGA 4. A homogeneous substitution process across all pairs is expected to result in an accumulation of nucleotide differences according to the Poisson distribution. We used Fisher's dispersion index to test whether the distribution of nucleotide differences across trans-specifically shared sequence pairs could be explained by the stochasticity of the substitution process alone. We used Fisher's exact test of independence to test whether synonymous and non-synonymous differences hit HV regions equally frequently.

Inference on Introgression Patterns at the S-Locus

Background genomic divergence was estimated by the species-wide average nucleotide divergence at fourfold degenerate sites (K4fold) between the two species for 12 reference genes that had been previously sequenced [20],[39],[40] and two genes that are members of the S-domain gene family (Aly10.1, Aly10.2).

To determine whether difference in effective population size and thus coalescence time between S-alleles and genomic background may suffice to explain the low divergence of S-alleles, we applied the isolation with migration model of Nielsen and Wakeley [38] to polymorphism at fourfold degenerate sites in both species for the eleven reference genes plus Aly9 (12 genes in total, see table 2) as implemented in the IM program [38]. We chose to focus on fourfold degenerate sites only because differences in substitution rates have been reported among codon positions [55]. The program DNAsp [56] was used to generate a datafile containing fourfold degenerate sites only. The procedure was run with 10 different random seeds to ensure proper convergence of the six free parameters, i.e. θA, θlyrata, θhalleri, t, mhal→lyr, mlyr→hal (polymorphism θ = 4 in the common ancestor of A. halleri and A. lyrata, polymorphism in A. lyrata, polymorphism in A. halleri, splitting time and the rate at which genes introgressed into A. lyrata from A. halleri and into A. halleri from A. lyrata as time moves forward, respectively). The HKY mutation model [57] was used. To single out the NA estimate, we estimated the average per fourfold degenerate site mutation rate (μ) as follows. We used A. thaliana as outgroup to estimate the average net nucleotide divergence at fourfold degenerate sites between A. thaliana and A. halleri and between A. thaliana and A. lyrata for each reference gene. Assuming that the lineages leading to A. thaliana and the common ancestor of A. lyrata and A. halleri separated 5 million years ago [58], we obtained a mutation rate estimate per site per year for each reference gene. We computed an average mutation rate per site per year (μ) by taking the geometric mean over genes. A mutation rate per generation was computed assuming a mean generation time of two years.

The maximum likelihood estimates were then used to simulate divergence between two species isolated since one million generations but still capable of introgression. Ten thousand replicates of pairs of genes with the same number of nucleotides as the real data were performed using SIMCOAL2 [59]. The genomic background divergence was first used to confirm that the simulations parameters were appropriate. We then determined whether the observed divergence for S-alleles was consistent with the overall genomic rate of introgression by simulating the evolution of S-alleles in this system assuming that 50 S-alleles segregate in the species, and thus that the effective population size of each allelic class is reduced by a factor 50. To remain conservative in this analysis, S-alleles were simulated under the 2.5% low boundary of the 95% credible interval for NA obtained from IM.

Using the maximum likelihood estimate for NA, we then aimed to determine the extent to which introgression is increased for S-alleles relative to the genomic background. We did so by gradually increasing mhal→lyr and mlyr→hal for S-alleles by a multiplicative factor from one to ten until the simulated data came close to the observed divergence.

The sequences reported in this paper have been deposited in the GenBank database under accession numbers EU878008- EU878026.

Supporting Information

Figure S1.

Phylogeny of SRK sequences from the species A. lyrata (n = 38), A. halleri (n = 30) and Capsella grandiflora (n = 7, shown in bold). The phylogeny was obtained by the neighbour-joining method on the proportion of amino-acid differences. Brackets indicate the position of two trans-specifically shared pairs of S-alleles between A. lyrata and A. halleri that are interrupted by the branching of one S-alleles from C. grandiflora (thick lines).

https://doi.org/10.1371/journal.pgen.1000168.s001

(1.16 MB TIF)

Figure S2.

Phylogenies of 68 SRK sequences from A. lyrata and A. halleri. The phylogeny was obtained by the neighbour-joining method on synonymous differences. Bootstrap support was obtained by 1,000 independent replicates.

https://doi.org/10.1371/journal.pgen.1000168.s002

(1.30 MB TIF)

Figure S3.

Phylogenies of 68 SRK sequences from A. lyrata and A. halleri. The phylogeny was obtained by the neighbour-joining method on non-synonymous differences. Bootstrap support was obtained by 1,000 independent replicates.

https://doi.org/10.1371/journal.pgen.1000168.s003

(1.36 MB TIF)

Figure S4.

Bootstrap distribution (10,000 replicates) of net divergence for SRK alleles (average across 18 S alleles pairs, in black) and the genomic background (average across 12 control genes, in grey).

https://doi.org/10.1371/journal.pgen.1000168.s004

(0.86 MB TIF)

Figure S5.

Distribution of the number of pairwise nucleotide differences for SRK sequences in interspecific comparisons between A. halleri and A. lyrata, excluding the 18 pairs of sequences considered as transspecific pairs.

https://doi.org/10.1371/journal.pgen.1000168.s005

(0.43 MB TIF)

Table S1.

Net divergence estimation for the 12 control genes.

https://doi.org/10.1371/journal.pgen.1000168.s006

(0.05 MB DOC)

Acknowledgments

We thank Violaine Llaurens and Maria Valeria Ruggiero for providing sequences from several S-alleles in A. halleri; Aude Darracq for a Python script; Jody Hey for advice on IM analyses; Freddy B. Christiansen, Nicolas Bierne and Thomas Bataillon for discussions and Christian R. Landry, Sylvain Billiard and Deborah Charlesworth for detailed comments on the manuscript.

Author Contributions

Conceived and designed the experiments: VC JB MHS XV. Performed the experiments: VC JB. Analyzed the data: VC JB MHS XV. Contributed reagents/materials/analysis tools: MHS XV. Wrote the paper: VC JB MHS XV.

References

  1. 1. Kliman RM, Andolfatto P, Coyne JA, Depaulis F, Kreitman M, et al. (2000) The population genetics of the origin and divergence of the Drosophila simulans complex species. Genetics 156: 1913–1921.RM KlimanP. AndolfattoJA CoyneF. DepaulisM. Kreitman2000The population genetics of the origin and divergence of the Drosophila simulans complex species.Genetics15619131921
  2. 2. Machado CA, Kliman RM, Markert JA, Hey J (2002) Inferring the history of speciation from multilocus DNA sequence data: the case of Drosophila pseudoobscura and close relatives. Mol Biol Evol 19: 472488.CA MachadoRM KlimanJA MarkertJ. Hey2002Inferring the history of speciation from multilocus DNA sequence data: the case of Drosophila pseudoobscura and close relatives.Mol Biol Evol19472488
  3. 3. Osada N, Wu CI (2005) Inferring the mode of speciation from genomic data: a study of the great apes. Genetics 169: 259–264.N. OsadaCI Wu2005Inferring the mode of speciation from genomic data: a study of the great apes.Genetics169259264
  4. 4. Arnold ML (2006) Evolution Through Genetic Exchange. (Oxford University Press, Oxford, U. K.)ML Arnold2006Evolution Through Genetic Exchange. (Oxford University Press, Oxford, U. K.)
  5. 5. Yatabe Y, Kane NC, Scotti-Saintagne C, Rieseberg LH (2007) Rampant gene exchange across a strong reproductive barrier between the annual sunflowers, Helianthus annuus and H. petiolaris. Genetics 175: 1883–1893.Y. YatabeNC KaneC. Scotti-SaintagneLH Rieseberg2007Rampant gene exchange across a strong reproductive barrier between the annual sunflowers, Helianthus annuus and H. petiolaris.Genetics17518831893
  6. 6. Besansky N J, Krzywinski J, Lehmann T, Simard F, Kern M, et al. (2003) Semipermeable species boundaries between Anopheles gambiae and Anopheles arabiensis: Evidence from multilocus DNA sequence variation. Proc Natl Acad Sci USA 100: 10818–10823.J. Besansky NJ. KrzywinskiT. LehmannF. SimardM. Kern2003Semipermeable species boundaries between Anopheles gambiae and Anopheles arabiensis: Evidence from multilocus DNA sequence variation.Proc Natl Acad Sci USA1001081810823
  7. 7. Scotti-Saintagne C, Mariette S, Porth I, Goicoechea PG, Barreneche T, et al. (2004) Genome scanning for interspecific differentiation between two closely related oak species [Quercus robur L. and Q. petraea (Matt.) Liebl.]. Genetics 168: 1615–1626.C. Scotti-SaintagneS. MarietteI. PorthPG GoicoecheaT. Barreneche2004Genome scanning for interspecific differentiation between two closely related oak species [Quercus robur L. and Q. petraea (Matt.) Liebl.].Genetics16816151626
  8. 8. Bierne N, Borsa P, Daguin C, Jollivet D, Viard F, et al. (2003) Introgression patterns in the mosaic hybrid zone between Mytilus edulis and M. galloprovincialis. Mol Ecol 12: 447–461.N. BierneP. BorsaC. DaguinD. JollivetF. Viard2003Introgression patterns in the mosaic hybrid zone between Mytilus edulis and M. galloprovincialis.Mol Ecol12447461
  9. 9. Payseur BA, Nachman MW (2005) The genomics of speciation: investigating the molecular correlates of X chromosome introgression across the hybrid zone between Mus domesticus and Mus musculus. Biol J Linn Soc Lond 84: 523–534.BA PayseurMW Nachman2005The genomics of speciation: investigating the molecular correlates of X chromosome introgression across the hybrid zone between Mus domesticus and Mus musculus.Biol J Linn Soc Lond84523534
  10. 10. Llopart A, Lachaise D, Coyne JA (2005) Multilocus analysis of introgression between two sympatric sister species of Drosophila, D. yakuba and D. santomea. Genetics 171: 197–210.A. LlopartD. LachaiseJA Coyne2005Multilocus analysis of introgression between two sympatric sister species of Drosophila, D. yakuba and D. santomea.Genetics171197210
  11. 11. Rieseberg LH, Linder CR, Seilert GJ (1995) Chromosomal and genic barriers to introgression in Helianthus. Genetics 141: 1163–1171.LH RiesebergCR LinderGJ Seilert1995Chromosomal and genic barriers to introgression in Helianthus.Genetics14111631171
  12. 12. Stewart CN, Halfhill MD, Warwick SI (2003) Transgene introgression from genetically modified crops to their wild relatives. Nature Reviews Genetics 4: 806–817.CN StewartMD HalfhillSI Warwick2003Transgene introgression from genetically modified crops to their wild relatives.Nature Reviews Genetics4806817
  13. 13. Arnold ML (2004) Transfer and origin of adaptations through natural hybridization: were Anderson and Stebbins right? Plant Cell 16: 562–570.ML Arnold2004Transfer and origin of adaptations through natural hybridization: were Anderson and Stebbins right?Plant Cell16562570
  14. 14. Martin NH, Bouck AC, Arnold ML (2006) Detecting adaptive trait introgression between Iris fulva and I. brevicaulis in highly selective field conditions. Genetics 172: 2481–2489.NH MartinAC BouckML Arnold2006Detecting adaptive trait introgression between Iris fulva and I. brevicaulis in highly selective field conditions.Genetics17224812489
  15. 15. Whithney KD, Randell RA, Rieseberg LH (2006) Adaptive introgression of herbivore resistance traits in the weedy sunflower Helianthus annuus. Am Nat 167: 794–807.KD WhithneyRA RandellLH Rieseberg2006Adaptive introgression of herbivore resistance traits in the weedy sunflower Helianthus annuus.Am Nat167794807
  16. 16. Schierup , MH , Vekemans X, Charlesworth D (2000) The effect of subdivision on variation at multi-allelic loci under balancing selection. Genet Res 76: 51–62.SchierupMHX. VekemansD. Charlesworth2000The effect of subdivision on variation at multi-allelic loci under balancing selection.Genet Res765162
  17. 17. Wright S (1939) The distribution of self-sterility alleles in populations. Genetics 24: 538–552.S. Wright1939The distribution of self-sterility alleles in populations.Genetics24538552
  18. 18. Koch MA, Matschinger M (2007) Evolution and genetic differentiation among relatives of Arabidopsis thaliana. Proc Natl Acad Sci USA 104: 6272–6277.MA KochM. Matschinger2007Evolution and genetic differentiation among relatives of Arabidopsis thaliana.Proc Natl Acad Sci USA10462726277
  19. 19. Hoffmann MH (2005) Evolution of the realized climatic niche in the genus Arabidopsis (Brassicaceae). Evolution Int J Org Evolution 59: 1425–1436.MH Hoffmann2005Evolution of the realized climatic niche in the genus Arabidopsis (Brassicaceae).Evolution Int J Org Evolution5914251436
  20. 20. Ramos-Onsins SE, Stranger BE, Mitchell-Olds T, Aguade M (2004) Multilocus analysis of variation and speciation in the closely related species Arabidopsis halleri and A. lyrata. Genetics 166: 373–388.SE Ramos-OnsinsBE StrangerT. Mitchell-OldsM. Aguade2004Multilocus analysis of variation and speciation in the closely related species Arabidopsis halleri and A. lyrata.Genetics166373388
  21. 21. Vekemans X, Slatkin M (1994) Gene and allelic genealogies at a gametophytic self-incompatibility locus. Genetics 137: 1157–1165.X. VekemansM. Slatkin1994Gene and allelic genealogies at a gametophytic self-incompatibility locus.Genetics13711571165
  22. 22. Miege C, Ruffio-Chable V, Schierup MH, Cabrillac D, Dumas C, et al. (2001) Intrahaplotype polymorphism at the Brassica S-locus. Genetics 159: 811–822.C. MiegeV. Ruffio-ChableMH SchierupD. CabrillacC. Dumas2001Intrahaplotype polymorphism at the Brassica S-locus.Genetics159811822
  23. 23. Charlesworth D, Bartolomé C, Schierup MH, Mable BK (2003) Haplotype structure of the stigmatic self-incompatibility gene in natural populations of Arabidopsis lyrata. Mol Biol Evol 20: 1741–1753.40.D. CharlesworthC. BartoloméMH SchierupBK Mable2003Haplotype structure of the stigmatic self-incompatibility gene in natural populations of Arabidopsis lyrata.Mol Biol Evol2017411753.40
  24. 24. Kimura R, Sato K, Fujimoto R, Nishio T (2002) Recognition specificity of self-incompatibility maintained after the divergence of Brassica oleraceae and Brassica rapa. Plant J. 29 (2): 215–223.R. KimuraK. SatoR. FujimotoT. Nishio2002Recognition specificity of self-incompatibility maintained after the divergence of Brassica oleraceae and Brassica rapa.Plant J. 29(2)215223
  25. 25. Sato Y, Fujimoto R, Toriyama K, Nishio T (2003) Commonality of self-recognition specificity of S haplotypes between Brassica oleracea and Brassica rapa. Plant Mol Biol 52: 617–626.Y. SatoR. FujimotoK. ToriyamaT. Nishio2003Commonality of self-recognition specificity of S haplotypes between Brassica oleracea and Brassica rapa.Plant Mol Biol52617626
  26. 26. Sato Y, Okamoto S, Nishio T (2004) Diversification and alteration of recognition specificity of the pollen ligand SP11/SCR in self-incompatibility of Brassica and Raphanus. Plant Cell 16: 3230–3241.Y. SatoS. OkamotoT. Nishio2004Diversification and alteration of recognition specificity of the pollen ligand SP11/SCR in self-incompatibility of Brassica and Raphanus.Plant Cell1632303241
  27. 27. Sato Y, Sato K, Nishio T (2006) Interspecific pairs of class II S haplotypes having different recognition specificities between Brassica oleracea and Brassica rapa. Plant Cell Physiol 47: 340–345.Y. SatoK. SatoT. Nishio2006Interspecific pairs of class II S haplotypes having different recognition specificities between Brassica oleracea and Brassica rapa.Plant Cell Physiol47340345
  28. 28. Bechsgaard JS, Castric V, Charlesworth D, Vekemans X, Schierup MH (2006) The transition to self-compatibility in Arabidopsis thaliana and evolution within S-haplotypes over 10 Myr. Mol Biol Evol 23: 1741–1750.JS BechsgaardV. CastricD. CharlesworthX. VekemansMH Schierup2006The transition to self-compatibility in Arabidopsis thaliana and evolution within S-haplotypes over 10 Myr.Mol Biol Evol2317411750
  29. 29. Sato K, Nishio T, Kimura R, Kusaba M, Suzuki T, et al. (2002) Coevolution of the S-locus genes SRK, SLG, and SP11/SCR in Brassica oleracea and B. rapa. Genetics 162: 931–940.K. SatoT. NishioR. KimuraM. KusabaT. Suzuki2002Coevolution of the S-locus genes SRK, SLG, and SP11/SCR in Brassica oleracea and B. rapa.Genetics162931940
  30. 30. Naithani S, Chookajorn T, Ripoll DR, Nasrallah JB (2007) Structural modules for receptor dimerization in the S-locus receptor kinase extracellular domain. Proc Natl Acad Sci USA 104: 12211–12216.S. NaithaniT. ChookajornDR RipollJB Nasrallah2007Structural modules for receptor dimerization in the S-locus receptor kinase extracellular domain.Proc Natl Acad Sci USA1041221112216
  31. 31. Schierup MH, Mable BK, Awadalla P, Charlesworth D (2001) Identification and characterization of a polymorphic receptor kinase gene linked to the self-incompatibility locus of Arabidopsis lyrata. Genetics 157: 387–399.MH SchierupBK MableP. AwadallaD. Charlesworth2001Identification and characterization of a polymorphic receptor kinase gene linked to the self-incompatibility locus of Arabidopsis lyrata.Genetics157387399
  32. 32. Castric V, Vekemans X (2007) Evolution under strong balancing selection: how many codons determine specificity at the female self-incompatibility gene SRK in Brassicaceae? BMC Evol Biol 7: 132.V. CastricX. Vekemans2007Evolution under strong balancing selection: how many codons determine specificity at the female self-incompatibility gene SRK in Brassicaceae?BMC Evol Biol7132
  33. 33. Hiscock SJ, McInnis SM (2003) Pollen recognition and rejection during the sporophytic self-incompatibility response: Brassica and beyond. Trends in Plant Science 8(12): 606–613.SJ HiscockSM McInnis2003Pollen recognition and rejection during the sporophytic self-incompatibility response: Brassica and beyond.Trends in Plant Science8(12)606613
  34. 34. Billiard S, Castric V, Vekemans X (2007) A general model to explore complex dominance patterns in plant sporophytic self-incompatibility systems. Genetics 175: 1351–1369.S. BilliardV. CastricX. Vekemans2007A general model to explore complex dominance patterns in plant sporophytic self-incompatibility systems.Genetics17513511369
  35. 35. Haldane JBS (1924) A mathematical theory of natural and artificial selection, Part I. Trans Camb Philos Soc 23: 19–41.JBS Haldane1924A mathematical theory of natural and artificial selection, Part I.Trans Camb Philos Soc231941
  36. 36. Turner JRG (1977) Butterfly mimicry: the genetical evolution of an adaptation, Evol Biol 11: 163–206.JRG Turner1977Butterfly mimicry: the genetical evolution of an adaptation,Evol Biol11163206
  37. 37. Prigoda NL, Nassuth A, Mable BK (2005) Phenotypic and genotypic expression of self-incompatibility haplotypes in Arabidopsis lyrata suggests unique origin of alleles in different dominance classes. Mol Biol Evol 22: 1609–1620.NL PrigodaA. NassuthBK Mable2005Phenotypic and genotypic expression of self-incompatibility haplotypes in Arabidopsis lyrata suggests unique origin of alleles in different dominance classes.Mol Biol Evol2216091620
  38. 38. Nielsen R, Wakeley J (2001) Distinguishing migration from isolation: a Markov chain Monte Carlo approach. Genetics 158: 885–896.R. NielsenJ. Wakeley2001Distinguishing migration from isolation: a Markov chain Monte Carlo approach.Genetics158885896
  39. 39. Ruggiero MV, Jacquemin B, Castric V, Vekemans X (2008) Hitch-hiking to a locus under balancing selection: high sequence diversity and low population subdivision at the S-locus genomic region in Arabidopsis halleri. Genet. Res. 90: 37–46.MV RuggieroB. JacqueminV. CastricX. Vekemans2008Hitch-hiking to a locus under balancing selection: high sequence diversity and low population subdivision at the S-locus genomic region in Arabidopsis halleri.Genet. Res.903746
  40. 40. Wright SI, Lauga B, Charlesworth D (2003) Subdivision and haplotype structure in natural populations of Arabidopsis lyrata. Molecular Ecology 12: 1247–1263.SI WrightB. LaugaD. Charlesworth2003Subdivision and haplotype structure in natural populations of Arabidopsis lyrata.Molecular Ecology1212471263
  41. 41. Nei M (1987) Molecular evolutionary genetics. New York: Columbia University Press. pp. 1–88.M. Nei1987Molecular evolutionary genetics.New YorkColumbia University Press188
  42. 42. Schierup M (1998) The number of self-incompatibility alleles in a finite, subdivided population. Genetics 149: 1153–1162.M. Schierup1998The number of self-incompatibility alleles in a finite, subdivided population.Genetics14911531162
  43. 43. Igic B, Bohs L, Kohn JR (2004) Historical inferences from the self-incompatibility locus. New Phytologist 161: 97–105.B. IgicL. BohsJR Kohn2004Historical inferences from the self-incompatibility locus.New Phytologist16197105
  44. 44. Takahata N (1990) A Simple genealogical structure of strongly balanced allelic lines and trans-species evolution of polymorphism. Proc Natl Acad Sci USA 87: 2419–2423.N. Takahata1990A Simple genealogical structure of strongly balanced allelic lines and trans-species evolution of polymorphism.Proc Natl Acad Sci USA8724192423
  45. 45. Birky CW, Maruyama T, Fuerst P (1983) An approach to population and evolutionary genetic theory for genes in mitochondria and chloroplasts, and some results. Genetics 103: 513–527.CW BirkyT. MaruyamaP. Fuerst1983An approach to population and evolutionary genetic theory for genes in mitochondria and chloroplasts, and some results.Genetics103513527
  46. 46. Wolfe KH, Li WH, Sharp PM (1987) Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast and nuclear DNA. Proc Natl Acad Sci USA 84: 9054–9058.KH WolfeWH LiPM Sharp1987Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast and nuclear DNA.Proc Natl Acad Sci USA8490549058
  47. 47. Newton AC, Allnutt TR, Gillies ACM, Lowe AJ, Ennos RA (1999) Molecular phylogeography, intraspecific variation and the conservation of tree species. Tr Ecol Evol 14: 140–145.AC NewtonTR AllnuttACM GilliesAJ LoweRA Ennos1999Molecular phylogeography, intraspecific variation and the conservation of tree species.Tr Ecol Evol14140145
  48. 48. Martinsen GD, Whitham TG, Turek RJ, Keim P (2001) Hybrid populations selectively filter gene introgression between species. Evolution Int J Org Evolution 55: 1325–1335.GD MartinsenTG WhithamRJ TurekP. Keim2001Hybrid populations selectively filter gene introgression between species.Evolution Int J Org Evolution5513251335
  49. 49. Heuertz M, Carnevale S, Fineschi S, Sebastiani F, Hausman JF, et al. (2006) Chloroplast DNA phylogeography of European ashes, Fraxinus sp. (Oleaceae): roles of hybridization and life history traits. Mol Ecol 15: 2131–2140.M. HeuertzS. CarnevaleS. FineschiF. SebastianiJF Hausman2006Chloroplast DNA phylogeography of European ashes, Fraxinus sp. (Oleaceae): roles of hybridization and life history traits.Mol Ecol1521312140
  50. 50. Uyenoyama MK, Zhang Y, Newbigin E (2001) On the origin of self-incompatibility haplotypes: transition through self-compatible intermediates Genetics 157: 1805–1817.MK UyenoyamaY. ZhangE. Newbigin2001On the origin of self-incompatibility haplotypes: transition through self-compatible intermediatesGenetics15718051817
  51. 51. Chookajorn T, Kachroo A, Ripoll DR, Clark AG, Nasrallah JB (2004) Specificity determinants and diversification of the Brassica self-incompatibility pollen ligand. Proc Natl Acad Sci USA 101: 911–917.T. ChookajornA. KachrooDR RipollAG ClarkJB Nasrallah2004Specificity determinants and diversification of the Brassica self-incompatibility pollen ligand.Proc Natl Acad Sci USA101911917
  52. 52. Hall TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser 41: 95–98.TA Hall1999BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT.Nucl Acids Symp Ser419598
  53. 53. Tamura K, Dudley J, Nei M, Kumar S (2007) Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 24: 1596–1599.K. TamuraJ. DudleyM. NeiS. Kumar2007Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.Mol Biol Evol2415961599
  54. 54. Nei M, Gojobori T (1986) Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol 3: 418–426.M. NeiT. Gojobori1986Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions.Mol Biol Evol3418426
  55. 55. Nei M, Kumar S (2000) Molecular Evolution and Phylogenetics (Oxford Univ. Press, New York)M. NeiS. Kumar2000Molecular Evolution and Phylogenetics (Oxford Univ. Press, New York)
  56. 56. Rozas J, Sánchez-DelBarrio JC, Messeguer X, Rozas R (2003) DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics 19: 2496–2497.J. RozasJC Sánchez-DelBarrioX. MesseguerR. Rozas2003DnaSP, DNA polymorphism analyses by the coalescent and other methods.Bioinformatics1924962497
  57. 57. Hasegawa M, Kishino H, Yano T (1985) Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol 22: 160–174.M. HasegawaH. KishinoT. Yano1985Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.J Mol Evol22160174
  58. 58. Koch MA, Haubold B, Mitchell-Olds T (2000) Comparative evolutionary analysis of chalcone synthase and alcohol dehydrogenase loci in Arabidopsis, Arabis, and related genera (Brassicaceae). Mol Biol Evol 17: 1483–1498.MA KochB. HauboldT. Mitchell-Olds2000Comparative evolutionary analysis of chalcone synthase and alcohol dehydrogenase loci in Arabidopsis, Arabis, and related genera (Brassicaceae).Mol Biol Evol1714831498
  59. 59. Laval G, Excoffier L (2004) SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history. Bioinformatics 20(15): 2485–2487.G. LavalL. Excoffier2004SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history.Bioinformatics20(15)24852487
  60. 60. Nishio T, Kusaba M (2000) Sequence diversity of SLG and SRK in Brassica oleracea L. Ann Bot 85: 141–146.T. NishioM. Kusaba2000Sequence diversity of SLG and SRK in Brassica oleracea L.Ann Bot85141146