Skip to main content
  • Research article
  • Open access
  • Published:

Range shift and introgression of the rear and leading populations in two ecologically distinct Rubusspecies



The margins of a species’ range might be located at the margins of a species’ niche, and in such cases, can be highly vulnerable to climate changes. They, however, may also undergo significant evolutionary changes due to drastic population dynamics in response to climate changes, which may increase the chances of isolation and contact among species. Such species interactions induced by climate changes could then regulate or facilitate further responses to climatic changes. We hypothesized that climate changes lead to species contacts and subsequent genetic exchanges due to differences in population dynamics at the species boundaries. We sampled two closely related Rubus species, one temperate (Rubus palmatus) and the other subtropical (R. grayanus) near their joint species boundaries in southern Japan. Coalescent analysis, based on molecular data and ecological niche modelling during the Last Glacial Maximum (LGM), were used to infer past population dynamics. At the contact zones on Yakushima (Yaku Island), where the two species are parapatrically distributed, we tested hybridization along altitudinal gradients.


Coalescent analysis suggested that the southernmost populations of R. palmatus predated the LGM (~20,000 ya). Conversely, populations at the current northern limit of R. grayanus diverged relatively recently and likely represent young outposts of a northbound range shift. These population dynamics were partly supported by the ensemble forecasting of six different species distribution models. Both past and ongoing hybridizations were detected near and on Yakushima. Backcrosses and advanced-generation hybrids likely generated the clinal hybrid zones along altitudinal gradients on the island where the two species are currently parapatrically distributed.


Climate oscillations during the Quaternary Period and the response of a species in range shifts likely led to repeated contacts with the gene pools of ecologically distinct relatives. Such species interactions, induced by climate changes, may bring new genetic material to the marginal populations where species tend to experience more extreme climatic conditions at the margins of the species distribution.


Some of the most dramatic evolutionary changes within a species’ range can occur at its distributional margins where individuals tend to be exposed to extreme environments within the species’ range. Crucial processes such as hybridization, population fragmentation and increased genetic drift may occur more often at the margins than in the core of a species’ range [1]–[3]. Changes in climate that force the species’ range to shift might even increase these dynamics through species interactions.

Past climate changes have had significant effects on the distribution of species, and the locations of species margins have fluctuated through time [4]. At the end of the last glacial period, species ranges generally shifted towards higher latitudes, so that today, one might be able to distinguish a leading edge and a rear edge. Woody species recursively tracked the changes in climate during the latest deglaciation [5]. Hampe and Petit [6] argue that the rear edge populations have sometimes persisted over long periods of time and have, therefore, been more stable than other populations from the range. A meta-analysis revealed that lower latitudinal populations of a species tended to show a higher degree of divergence between populations, even after controlling for geographic distance [7]. This implies that these populations at the current rear margins often persist in isolation during a species’ range shift. In contrast, populations at the current leading edge tend to expand and may not be isolated for long periods. Because different species/populations react in different ways in response to climate changes and have ranges covering different latitudes, the rear edge of a species may, at some point, be in contact with the leading edge of another. Consequently, such environmental change may result in sympatry and be due to the interaction of once geographically isolated species at their boundaries.

A relatively large proportion of extant biodiversity diverged recently (less than 5 million years old), and these relatively young species may be particularly susceptible to hybridization due to the absence of postzygotic isolation [8]. Most hybrids have lower fitness than parental species in the parental niches [9], but they could be also equivalent to, or have higher fitness than, parental species depending on hybrid genotypes and environments [10]. Nonetheless, hybridization with viable hybrid offspring occurs in roughly 10% and 25% of animal and plant species, respectively [11], and subsequent hybridizations between hybrids and parental species, which result in gene transfer into recipient species (i.e., introgression), can sometimes lead to adaptive evolution [12]–[15]. A recent study suggests that contemporary climate changes could force a species’ range to expand and induce hybridization [16]. Climate oscillations must have induced repeated range shifts [4], and may have increased the chance of hybridization and introgression between the species at their boundaries. Since hybridization can be a major evolutionary driver [17],[18], contacts between species of recent evolutionary origins and subsequent gene flow may be a common feature of biodiversity dynamics at range margins. This species interaction (i.e. hybridization) newly induced by climate changes as a result of the response of the species may ultimately contribute to increased genetic variation and provide genetic resources when the species undergoes natural selection in changing environments.

Yakushima (Yaku Island) offers a unique environment for testing differences in impact of past and contemporary climate change on range distribution and its evolutionary consequences at the northern and southern limits of species range. Due to its latitude (N30° 20’) and range of altitudes (~1936 m), the island harbors vegetation types ranging from subtropical to alpine, and serves as the southern limit of more than 200 temperate plant species in Japan (UNESCO;, and as the northernmost limit for some subtropical-tropical species that are distributed from mainland China to southern Japan through a string of islands.

Rubus palmatus Thunb., and Rubus grayanus Maximowicz are wild raspberry species distributed in Asia, including Yakushima Island. R. palmatus is an endemic temperate species in Japan and is divided into three varieties: var. palmatus in western Japan, var. coptophyllus in north-eastern Japan, and var. yakumontanus on Yakushima Island. R. grayanus is distributed in subtropical climates including southeast China and Japan. Both species are diploid species belonging to the genus Rubus, subgenus Ideaobatus. A major ecological difference between these species is in leaf seasonality (deciduous and evergreen). The species co-exist only on Yakushima Island, where the southernmost population of R. palmatus is present at high altitude and the northernmost population of R. grayanus is present at low altitude. Yakushima Island was connected with the southern Kyushu Island during the Last Glacial Maximum (LGM), and putatively served as refugia for temperate forests [19]. This implies that some temperate species, including R. palmatus, persisted as marginal populations over the glaciation period on and around the island. If postglacial climate change led to parapatry of these Rubus species on the island, then subsequent hybridization may have bridged the genetic resources of these two closely related species, which are otherwise ecologically distinct, possibly helping them to respond more rapidly to new selection regimes in a changing climate.

In this study, we studied how the marginal populations of two closely related but ecologically distinct species (R. palmatus and R. grayanus) responded to postglacial climate change at the southern and northern range limits, respectively, and the genetic consequences. We hypothesized that differences in the species’ response to postglacial climate change led to range contacts, which may have resulted in increased opportunities for hybridization if the species were able to hybridize. To test this, we first examined the dynamics of the marginal populations of the species by coalescent analysis using nuclear sequence data. We then tested the hybridization of the contact zones along the altitudinal gradients on Yakushima Island at the species boundary by coalescent analysis using both nuclear and chloroplast sequences. Since we did not have enough paleobotanical information for the current species boundaries for Rubus or Rosaceae, we projected current and past distributions of the environmental envelop of these species, using an ensemble forecasting approach to compare the results of the genetic analysis.


Genetic diversity in R. palmatus andR. grayanus

The partial sequences of 12 functional nuclear loci, totaling 4,944 bp in size, were obtained from 54 and 56 individuals sampled from morphologically pure populations of R. palmatus and R. grayanus, respectively, around the species boundaries (Figure 1a, Table 1 and Additional file 1: Table S1; DDBJ:AB926443-AB927718; AB931175-AB932515; AB975184-AB975263). Sequence reads contained 106 bp of a non-coding region in the COP1-homolog gene and 92 bp in the GSTF-homolog gene. We identified 196 segregating sites when both species were considered, and 137 and 62 segregating sites within R. palmatus and R. grayanus, respectively. A total of 12 fixed sites between species in total were found in four loci (Additional file 1: Table S1). The eight other loci had only shared polymorphisms. The Wright fixation index, FST, between the two species varied among loci, but was generally high (FST =0.371-0.859).

Figure 1
figure 1

Locations of sampled populations and species distributions. (a) Open circles represent Rubus palmatus sample locations (pKG, pBS, pEB, pKD, and pYK), and closed circles indicate sample locations of R. grayanus (gOK, gAM, gYK, and gTN). R. palmatus southern limits (solid line) and R. grayanus northern limits (dashed line) are shown. Geographic coordinates and altitudes are given in Table 1. (b) Sampled populations along altitudes on Yakushima, where the two species’ distributions merged, are indicated as shaded squares (ab1, ab2, ab3, ab4, ab5, pYK* on Anbo Lane, and sr1, sr2, sr3, sr4 on Shiratani Lane). Some individuals from the pYK population (pYK*) were located along Anbo Lane at high altitude and included in the analysis of the contact zones. The dashed line indicates the approximate sampling areas for pYK and gYK populations.

Table 1 Sample population locations for the phylogeographic study at species boundaries and for the study at contact zones

The average, within population nucleotide diversity, π (total), was generally higher in R. palmatus (π (total) = 0.0014-0.0038) than in R. grayanus (π (total) = 0.0007-0.0024; Table 1). Nucleotide diversity was highest in R. palmatus populations: pEB (0.0038) followed by pBS (0.0031). The highest nucleotide diversity in R. grayanus was found in gYK (0.0024) followed by gAM (0.0017) and the lowest was found at Okinawa (gOK, 0.0007). The levels of diversity were intermediate or high, within the range of silent nucleotide diversity in model and tree species [20].

Neutrality tests were carried out over loci; and the results for both Tajima’s D and Fu and Li’s D significantly departed from a neutral expectation in the Yakushima population (gYK) of R. grayanus. In R. grayanus, the southern populations (gOK) had significantly negative Tajima’s D (α = 0.05; Additional file 1: Table S2). The pEB population in R. palmatus, which had the highest nucleotide diversity, had a significantly positive Fu and Li’s D value. Fu and Li’s D was positive and marginally significant (α = 0.10) in the southernmost population of R. palmatus (pYK). None of the genes studied here were significant for the maximum likelihood analysis of the HKA test.

Divergence and migration within species

As a result of the STRUCTURE analysis for the populations at the species boundaries, the most likely value of K was 2 when Evanno et al.’s[21] method was used, and 3 when Pritchard et al.’s[22] method was used (Figure 2).

Figure 2
figure 2

Population structure of Rubus palmatus and R. grayanus based on SNPs from 12 nuclear genes. The plots were obtained with the Bayesian clustering analysis program Structure [22].

The demographic parameters estimated in the IM models are listed in Table 2. Four additional models were run with different prior sets for a subset of models, and the demographic estimates were generally consistent regardless of priors (Additional file 1: Table S3). The posterior distribution of the divergence time in the two-population model with pYK and gYK (the tails of the distribution extend to zero) showed a clearer peak when the prior for migration rate was exponentially distributed, than when it was uniformly distributed (Additional file 1: Table S3). Thus, we used an exponential prior for the migration rates in further simulations (Table 2). Among R. palmatus populations, the lower 95% HPD for divergence time between each pair of populations was estimated to be before the LGM (18,000-20,000 Mya), except between the two eastern populations (pBS, pKG; 17,000 ya with 95% HPD 0–64,000 ya). Among R. grayanus populations, the more southerly populations (gOK, gAM) had deeper divergence compared to the more northerly ones. Estimates of divergence time between pairs of populations in R. grayanus were relatively smaller within the three northern populations (gYK, gTN, gAM) and the smallest divergence time was between the two northernmost populations, gYK and gTN (8,000 ya with 95% HPD 0–45,000 ya).

Table 2 Estimated demographic parameters for the population pairs assuming isolation with migration

The estimates of divergence time between the two species were approximately consistent among all pairs of populations (0.86–1.07 M years ago as HPD). A significant migration was detected only with the between-species models. These models detected significant migration from R. palmatus to R. grayanus (pEB to gYK, pYK to gYK, and pEB to gTN) and from R. grayanus to R. palmatus (gYK to pYK, and gTN to pEB).

Genetic structure at the contact zones on Yakushima

The partial sequences of 17 nuclear loci, in addition to one chloroplast locus, totaling 6302 bp in size, were obtained from 80 individuals sampled from the contact zones on Yakushima Island (Figure 1b, Table 1 and Additional file 1: Table S1). Most individuals from the contact zones had an R. grayanus cpDNA haplotype (Figure 3a). Assuming K = 2, a clinal genetic admixture was detected along the two altitudinal gradients on the island (Figure 3b). Clines were also observed in the hybrid index along the altitude (Figure 4a), assuming pYK* and ab1 populations as the parental populations based on the result of the STRUCTURE analysis. Among the 64 tested individuals, 32.8% were classified as pure R. grayanus, 15.6% as backcrosses with R. grayanus, 28.1% as advanced-generation hybrids, 12.5% as backcrosses with R. palmatus, and 10.9% as pure R. palmatus (Figure 4b). Interspecific heterozygosity ranged from 0 to 0.912, and some hybrids had lower interspecific heterozygosity than expected (Figure 4b). The IMa simulation, based on the putative parental populations (ab1, pYK*), estimated significant migration from R. palmatus to R. grayanus (LLR test; 4.633, p < 0.05), but gene flow in the opposite direction was not significant.

Figure 3
figure 3

Population structure of populations along altitude on Yakushima. (a) Haplotypes of cpDNA (trnH-psbA intergenic region) illustrated in green (R. grayanus) and red (R. palmatus). (b) STRUCTURE analysis based on SNPs from 17 nuclear genes, assuming K = 2.

Figure 4
figure 4

Hybrid index assuming that the pYK* (at the highest altitude) and ab1 (at the lowest altitude) populations are parental populations. (a) Hybrid index of each population, where hybrid index 0 = R. grayanus and 1 = R. palmatus. (b) Interspecific heterozygosity vs hybrid index based on SNPs of 17 nuclear genes. Colored dots indicate broadly defined hybrid classes [63]; BCG as backcrosses with R. grayanus; BCP as backcrosses with R. palmatus; FN as advanced-generation hybrids.

Species distribution models

According to Thuiller et al. [23], the area under the curve (AUC) of an ROC for true skill statistics (TSS) and Kappa statistics indicated a good-to-excellent model performance, when averaged across all replications for all modeling techniques under current climatic conditions (AUC > 0.9, TSS > 0.8, and Kappa > 0.8; Additional file 1: Table S4); the expected Kappa value of CTA for R. palmatus = 0.74. The ensemble forecasting, based on six different modeling techniques, for the distributions of R. palmatus and R. grayanus under current climates predicted slightly wider distributions compared to the known distributions (dashed line indicates the known current southern and northern limits of R. palmatus and R. grayanus in Figure 5a and b).

Figure 5
figure 5

An ensemble forecasting of current and past distribution of R. palmatus and R. grayanus based on the bioclimatic variables. Sets of uncorrelated bioclimatic variables were used for each species. Probability of occurrence maps (a, b) and projected distribution of the suitable climates in the past (approx. 20,000 years ago; c, d) in R. palmatus (a, c) and R. grayanus (b, d). Dashed lines indicate the known current southern and northern limits of R. palmatus (a) and R. grayanus (b), respectively.

Projections of past distribution during the LGM (~21,000 years BP) are shown in Figures 5c and d. The projection for R. palmatus shows a southern retreat from the major parts of its current distribution. The projection of past distributions of R. grayanus shows decreased probabilities of occurrence at the current northernmost range limits. Moreover, the most suitable habitats during the LGM were the southern islands, including Amami-Ōshima Island and Okinawa Main-Island (Figure 5d). A limitation in the accuracy may be due to the small amount of geo-reference data for R. grayanus, but in general, the current distribution had a higher occurrence probability in both species (see geo-reference location in Additional file 1: Figure S1).


Range dynamics at species boundaries with postglacial climate change

The range shifts associated with climate change often leave a signature in the population genetic structure. Because of repeated bottlenecks during range expansion, the high-latitude limits of species that migrated after the LGM tend to have less genetic diversity than that of more southern locations [24],[25], unless they are derived from an admixture of populations that originated from multiple refugia [26]. In contrast, the rear edge populations at low-latitudinal limits of species’ range can be slightly older because of latitudinal displacement of the distribution range, or can be more stable and the oldest populations within a species range, because of the persistence of relict populations during the climate changes. This has been observed in a number of species, based on phylogeographic surveys (reviewed in [6]). The range shift in response to climate change differs among populations and species. The differences might create opportunities to encounter other species, which may induce interspecific interactions such as competition and hybridization or lead to isolation from currently interacting species.

This comparative study of two related species, based on the coalescent analysis, suggests that the temperate species, R. palmatus, maintained its current southern limit populations on the island during the LGM and the population encountered expanding populations of its subtropical relatives, R. grayanus, after the LGM on the island. The relatively deep divergence without gene flow after divergence in populations within R. palmatus implies that the current populations were derived from multiple refugia. The lower bounds of the 95% HPD of the estimated time since divergence between the Yakushima population (pYK) and other nearby populations (pEB and pKD) are 25,000 years ago (86,000 and 111,000 years ago at HPD, respectively). Given that the LGM ended 18,000–20,000 years ago, Yakushima Island likely served as an isolated refugium for R. palmatus under the current climates and under past climates during the LGM. Yakushima Island was once geographically connected to the south of Kyushu Island, and probably served as a refugium for temperate evergreen forest species during the LGM [19],[27]. In the case of R. palmatus, which is currently distributed at high altitude on the island, the island may have provided isolated habitats for the species, even during the LGM. The topography of the island may have offered a climatic niche for R. palmatus during the LGM and contributed to the stability of the southernmost population. Most of the species is endemic to this island, occurring at higher elevations [28], which may explain the historical isolation of the island in a phylogenetic context with cool temperate species. On the other hand, the island is less likely to have served as a refugium for the subtropical species, R. grayanus. Our analysis of R. grayanus suggests a recent range expansion from more southerly-located populations. We found a recent divergence among the northern populations of R. grayanus. The estimated divergence time of approximately 15,000 years ago, between the northern populations (gYK, gTN) and the nearest population (gAM), suggests a population decline or the complete retreat of the current northern tip of the distribution during the LGM. The ecological niche modeling also suggests both the stability of the southern population of R. palmatus and the population decline or complete retreat of R. grayanus from Yakushima Island during the LGM.

R. grayanus can be found on the strip of islands that extend to China, including Yakushima island, which indicates that the seeds have the capacity to disperse over sea, perhaps by animals [29],[30] including migrant birds [31], as was observed in other Rubus species. Considering the high probability of a post-glacial population divergence on Yakushima and Tanegashima Islands from the more southerly located islands, the initial colonization may have occurred with seed dispersal by animals from nearby islands. After the divergences, the lack of any significant migration indicates that current seed dispersal between the islands is very rare. A rise in sea-level during the post-glaciation period increased the distances between islands, perhaps also decreasing the probability of seed dispersal among the islands.

We detected a significant gene flow between R. palmatus and northern R. grayanus populations. This violation of the IM model may have biased the parameter estimates, though the 95% HPD can often include the true values [32]. Nonetheless, R. palmatus likely kept its southern limits on the island and the range expansion of R. grayanus that was due to past climate change resulted in the current contact between the species on the island.

Current and past introgression at species boundaries

Hybridization between R. grayanus and R. palmatus and asymmetric introgression with backcrosses were observed at intermediate altitudes on Yakushima Island, where the two species merged relatively recently at the species boundaries. This result agrees well with previous studies showing that the significant introgression was triggered by increased sympatry of species distributions following environmental changes [33],[34], including contemporary climate changes [16]. In this study, we detected not only current active hybridization but also past introgression. The STRUCTURE analysis indicated a clear divergence between the morphologically pure species at the species boundary near Yakushima Island, suggesting that recent hybridization in these populations is limited. On the other hand, coalescence analysis that considers all migration since the two species diverged, indicated the presence of past hybridization events, probably as a consequence of past species contacts due to climate oscillations. The repeated range expansions and retreats [4], occurring with oscillations in climates, might have induced repeated contacts at the margins of the ranges for these two closely related, but ecologically distinct species, leaving a complex signature of introgression.

In the hybrid zones of Rubus, backcrosses with both parental species revealed clinal trends in the hybrid index. While hybridization and backcrosses could occur in both directions, most of the hybrids had R. grayanus as a seed donor and the introgression was asymmetric towards R. grayanus in the current hybrid zones on the island. Introgressive hybridization is occasionally asymmetric, which could be due to natural selection [12],[13], pre- and post-zygotic reproductive isolation [35], or differences in population demography, such as relative abundance [36],[37] and population growth rate resulting in “gene surfing” [38],[39]. Relative abundance may play a role in asymmetric introgression since a rarer species would have a greater chance of receiving foreign genes from a more abundant species than vice versa, and first generations of hybrids tend to backcross with the most common parent at the local scale [36],[37],[40]. Based on our phylogeographic study, R. grayanus is the late colonizer on the island, perhaps starting from a small population size. Thus, the abundance theory does not fully explain the pattern. Instead, our observation is consistent with the expectation of gene surfing and introgression from an expanding species. Currat et al. [41] used simulations to predict that demographic difference on its own could cause asymmetric introgression from a local species to a recently colonized and expanding species until colonization is complete, because the number of copies of an allele introgressed in the incoming species will quickly increase due to its high rate of population growth. Thus, regardless of differences in abundance, asymmetric gene flow will take place from a local to a colonizing population. If the distribution of cpDNA reflects the population growth of R. grayanus as it expanded northwards during the past climate change, then R. grayanus may have more reproductive outputs compared to R. palmatus, which is supported by Currat et al.’s [41] prediction.

The observed structure of the hybrid zones was consistent with successive generations of hybrids. A range of interspecific heterozygosity in advanced-generation hybrids suggests that these populations corresponded to a mixture of early- and later-generation hybrids with recombination. We also found a discontinuity in the clinal hybrids zone (described in Figure 4), which suggests reproductive isolation between hybrids and one side of the parent species, R. palmatus. Steep clines have been observed with assortative mating and strong postzygotic barriers [42]. Since pre- and post-zygote barriers can result in asymmetric introgression [35], this may also be a cause of asymmetry of the hybrid zones. We are currently testing reproductive isolation by artificial crossing between R. palmatus and R. grayanus. Nonetheless, backcrossing with both ecologically divergent parental species was not a rare event in the hybrid zones, and it may lead to adaptive introgression by transferring adaptive traits at species boundaries with environmental selection [12],[13],[15]. Although some of our sequenced genes were found to be adaptive in other species; e.g., phytochrome in European aspen [43],[44], we did not detect significant effects of selection in any of the loci we studied and these sequences behaved neutrally, at least in our dataset. Observations of genome-wide genetic variants and phenotypic variation in a common garden experiment of hybrids are currently being performed to detect natural selection for adaptive traits.


In this study, we found significant differences in the response to past climate change in the populations of two ecologically distinct, but related species, at the margin of their species ranges. The fluctuations in range changes likely led to repeated contacts between closely related species thereby increasing the chance for hybridization. Genetic variation from other species can be a source of adaptive variation to respond to environmental changes as with standing variation and new mutation [45], and genes provided by introgression can be a crucial source of variation to respond to selection [46]–[49]. Introgressive hybridization induced by climate changes at the species boundaries, where populations may be isolated but still an important source for further range shift in response to climate change, could provide essential genetic variation to facilitate the recovery of population size and range expansion. Further detailed investigation of genomic clines and hybrid fitness along the hybrid zones at the margins of the ranges would provide insights into the roles of hybridization in population persistence and expansion in a changing environment.


Plant materials and sampling

Plant tissues of two Rubus species (diploid) were collected from 2010-2012 in Japan, including Yakushima Island: Rubus palmatus var. yakumontanus (pYK), R. palmatus var. palmatus (pEB, pKD, pBZ, pKG), and R. grayanus (gYK, gOK, gAM, gTN) (Table 1 and Figure 1a). In total, 54 and 56 individuals were collected from R. palmatus and R. grayanus populations, respectively. On Yakushima Island, the distribution of the two species is generally distinct: R. palmatus occurs in highlands (800 ~ 1200 m) and R. grayanus is found in lowlands (500 m at the highest). At intermediate altitudes; however, some individuals on a major logging lane (Anbo Lane), where narrow open habitats are available, are morphologically intermediate between R. palmatus and R. grayanus (Mishima et al., unpublished data). Thus, we also collected tissue samples of 80 individuals along an altitudinal gradient on Yakushima Island (“contact zones”): 5 populations (ab1-5) and 4 populations (sr1-4) from two major logging lanes; Anbo and Shiratani Lanes, respectively. Some individuals of the pYK population were located at the highest altitude on Anbo Lane, and were included in the analysis as the pYK* population (Table 1 and Figure 1b). Although these two species are ecologically distinct, they are phylogenetically close. A phylogeny of 12 Rubus species distributed in Japan belonging to subgenus Ideaobatus, based on two regions (rbcL and trnH-psbA) of chloroplast DNA, indicate that R. palmatus and R. grayanus are sister species among the tested species (Mimura, unpublished data). All leaf samples were dried in silica gel before DNA extraction.

Primer design and sequence data collection

Primers for nuclear genes were designed based on the R. palmatus EST libraries. The EST libraries were constructed from cDNA synthesized from R. palmatus mRNA samples from Yakushima Island. Sequences were generated using the GS FLX (454 Life Sciences, Branford, CT). The GS De Novo assembler version 2.3 (provided by 454 Life Sciences) was used for sequence assembly, and the quality trimming was performed with default settings. The function of homologous genes was predicted using Arabidopsis RNA protein reference sequences (, threshold E-value 10-20 ). We found a homolog sequence as a hypothetical protein for some loci in the Arabidopsis reference sequences and in the reference sequences of other species (Populus and Vitis). Primers were designed based on the aligned sequences between R. palmatus and R. grayanus using Primer3 version 0.4.0 [50]. Twelve nuclear loci were sequenced for the populations at the species boundaries to infer past population dynamics of the two species. Since the contact zones on Yakushima Island are geographically limited, we sequenced 5 additional nuclear loci (giving a total of 17 nuclear loci) to increase the resolution of their genetic structure analysis, in addition to one chloroplast region (trnH-psbA) used to trace their maternal species. Loci information was described in Additional file 1: Table S1 in the Additional file of Supporting Information.

Genomic DNA was isolated from dried tissues using the modified CTAB method [51]. PCR reaction mixes contained 0.2 mM dNTPs, 1 × reaction buffer, 0.5 mM of each primer, 1 U of Taq DNA polymerase (TAKARA BIO) and approximately 20 ng of DNA. PCR amplifications were performed under the following conditions: 5 min at 94°C, followed by 30°Cycles of 30 sec. at 94°C, 30 sec. at 55°C, and 1 min at 72°C. The amplified products were sequenced using ABI Prism BigDye Terminator v. 3.1 on an ABI3730 DNA Analyzer. Individual haplotypes were reconstructed using the PHASE algorithm [52].

Summary statistics and population structure

We estimated the number of segregating sites, S, the total nucleotide diversity, and the nucleotide diversity within populations for the total (π (total), θ (total)), synonymous (π (s)), and non-synonymous (π (a)) sites [53]. The HKA test [54] was conducted to test for neutral evolution across loci: we used a maximum likelihood ratio test [55] to evaluate a model, assuming that one of the genes is not neutral, against a null model assuming that all genes are neutral. Statistical significance of Tajima’s D [56] and Fu and Li’s D (Fu and Li, [57]) was also tested with 1000 coalescent simulations using a standard neutral model. Simulations of neutrality tests were performed using the programs SITES and HKA (J. Hey

The Bayesian clustering program STRUCTURE var. 2.3.3 [22] was used to assess the genetic clustering of individuals from the two species and the contact zones on Yakushima Island. We randomly collected one SNP from each locus. We performed five independent runs with a burn-in of 5.0 × 105 and additional 5.0 × 105 steps with the admixture model, and estimated log-likelihoods for each number of clusters (1 < K < 6) for the populations from the species’ ranges. For the contact zones on the island, we assumed K = 2, two gene pools from the two putative parental species.

Coalescence analysis

Demographic parameters, including effective population size (θ for 4Neμ), migration rate (m), and divergence time (t) were estimated, assuming an Isolation-with-Migration (IM) model, using the IMa2 program [58],[59]. The IMa2 program implements a Markov Chain Monte Carlo (MCMC) method to estimate posterior probability densities for the model parameters of the IM model. Since the model assumes no intralocus recombination, the minimum number of recombinations (R m ) was estimated, and for each locus, we used a portion of the sequence where no recombination was found. We collected 5.0 × 105 genealogies every 200 MCMC steps from three independent runs, each following a burn-in period of 5.0 × 105 steps. The same uniform priors limits were set for the models within each species ([θ, t] = [5],[10]) with a prior of migration rate per mutation event following an exponential distribution, with mean m* = 0.05. The infinite site model was applied to all loci, and 40 Markov-coupled chains were used. After failing to detect significant migration between populations within species in the two-population models, we ran models with a pair of allopatric and parapatric populations of both R. palmatus and R. grayanus. We limited our model to two populations, since we had sequence data from only 12 or 17 loci, and an insufficient amount of data can mislead the estimation of posterior probability density when more populations are considered [59]. For the contact zones, the coalescence analysis used only a model with pYK* and ab1, where the analysis of population structure suggested pure R. palmatus and R. grayanus populations, respectively, located at both edges of the contact zones. The divergence time was scaled using the geometric mean of the mutation rates per year per locus and assumed a generation time of 5 years. Since the mutation rate is not known in these Rubus species, we assumed those of two model species; Arabidopsis thaliana (1.5 × 10-8) [60] as the upper bound, and Populus trichocarpa (2.5 × 10-9) [61] as the lower bound. We used the mean substitution rates of the two model species for demographic parameters. The ratio of the average total genetic divergence to the average synonymous divergence (K (total)/Ks) was used to calculate the geometric mean of the substitution rate, using the synonymous substitution rate per site per year.

While our sampled populations violated some assumptions of the IM model [58], the violation of those assumptions, particularly population structure, had little effect on the estimates [32]. With limited data, priors may also have strong effects on posterior probability, especially for migration rates [59]. We tested different priors, and the posterior probabilities were reasonably robust (Additional file 1: Table S3). For instance, the posterior probabilities of divergence time between allopatric populations and between parapatric populations with significant migration rates were congruent.

Hybrid parameters on Yakushima

The Hybrid index and interspecific heterozygosity were calculated using introgress[62]. They were based on randomly collected single SNPs from each of the 17 nuclear loci for individuals from the contact zones on Yakushima Island. Based on the STRUCTURE analysis of the contact zones, we defined pYK* and ab1 populations as parental R. palmatus and R. grayanus populations, respectively. We broadly defined the hybrid classes, as suggested by Hamilton et al.[63] (i.e. backcrosses to either parent when hybrid index is more than 85% but not 100%; advanced-generation hybrids (FN) when hybrid index is more than 15% and less than 85%). We used this broad classification of hybrids [63], because it requires fewer assumptions than the other Bayesian approach, i.e., New Hybrids [64].

Ecological niche modeling

Occurrence and environmental data

Herbarium occurrence data was collected from the Global Biodiversity Information Facility ( Limited data is available for R. grayanus occurrence and we added our sampling and observation locations as occurrence points. In total, 436 geo-reference data points were made for R. palmatus and 13 were made for R. grayanus. Current and past (at LGM) climate variable data was obtained from WorldClim version 1.4 [65]. We used the data layer based on simulations that used the Community Climate System Model (CCSM). The resolutions of current climate and past layers were 30 arcsec and 2.5 arcmin, respectively. Among the 19 available climate variables, those which are not highly correlated (Pearson correlation coefficient r < |0.7|) were used in the model to avoid multicollinearity problems, leaving sets of 6 climate variables for R. palmatus and R. grayanus: annual mean temperature, mean diurnal range, mean temperature of wettest quarter, annual precipitation, precipitation seasonality, precipitation of coldest quarter for R. palmatus, and annual mean temperature, isothermality, max temperature of warmest month, annual precipitation, precipitation of driest month, precipitation seasonality for R. grayanus.

Ensemble modeling

A number of species distribution models (SDM) are available, making the selection of the most appropriate methodology for each case study a challenge [66]. To account for inter-model variability, we used an ensemble forecasting approach based on six commonly used models in the bioclimatic niche modeling package BIOMOD2 [67],[68] in R (R Development Core Team, [69]). The models included generalized linear models (GLM), generalized additive models (GAM), multivariate adaptive regression spline (MARS), classification tree analysis (CTA), random forest (RF), and the maximum entropy approach (MAXENT). Most of the modeling techniques used in BIOMOD2 require absence data, but the best strategy for the pseudo-absence selection depends on the models. Established selection guidelines are not yet available for an ensemble model of multiple models [70]. We generated 5 different sets of randomly chosen 500 pseudo-absences. The models were calibrated for each pseudo-absence dataset (the absences were weighted equally to the presences) with 10-fold cross-validation using a 70% random sample of the observed data, and model performance was assessed using the remaining 30% of the data. MAXENT [71] projects the distribution with presence-only data, compared to random background pixels. We included a result of MAXENT with a maximum of 10,000 background points and cross-validation with 12 replicates in Additional file 1: Figure S2.

Availability of supporting data

The datasets supporting the results of this article are included with the article and additional files. The sequence datasets supporting the results of this article are available in the DNA Data Bank of Japan (DDBJ:

Authors’ contributions

MM conceived the study, carried out the molecular genetic studies, and drafted the manuscript. ML helped to perform the statistical analysis and to draft the manuscript. M Mishima and TY participated in the design of the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Additional file


  1. Brown JH: On the relationship between abundance and distribution of species. Am Nat. 1984, 124: 255-279. 10.1086/284267.

    Article  Google Scholar 

  2. Eckert CG, Samis KE, Lougheed SC: Genetic variation across species’ geographical ranges: the central-marginal hypothesis and beyond. Mol Ecol. 2008, 17: 1170-1188. 10.1111/j.1365-294X.2007.03659.x.

    Article  PubMed  CAS  Google Scholar 

  3. Lesica P, Allendorf FW: When are peripheral populations valuable for conservation?. Conserv Biol. 1995, 9: 753-760. 10.1046/j.1523-1739.1995.09040753.x.

    Article  Google Scholar 

  4. Hewitt G: The genetic legacy of the Quaternary ice ages. Nature. 2000, 405: 907-913. 10.1038/35016000.

    Article  PubMed  CAS  Google Scholar 

  5. Davis MB, Shaw RG: Range shifts and adaptive responses to Quaternary climate change. Science. 2001, 292: 673-679. 10.1126/science.292.5517.673.

    Article  PubMed  CAS  Google Scholar 

  6. Hampe A, Petit RJ: Conserving biodiversity under climate change: the rear edge matters. Ecol Lett. 2005, 8: 461-467. 10.1111/j.1461-0248.2005.00739.x.

    Article  PubMed  Google Scholar 

  7. Eo SH, Wares JP, Carroll JP: Population divergence in plant species reflects latitudinal biodiversity gradients. Biol Lett. 2008, 4: 382-384. 10.1098/rsbl.2008.0109.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Seehausen O, TAkimoto G, Roy D, Jokela J: Speciation reversal and biodiversity dynamics with hybridization in changing environments. Mol Ecol. 2008, 17: 30-44. 10.1111/j.1365-294X.2007.03529.x.

    Article  PubMed  Google Scholar 

  9. Barton NH, Hewitt GM: Analysis of hybrid zones. Annu Rev Ecol Syst. 1985, 16: 113-148. 10.1146/

    Article  Google Scholar 

  10. Arnold ML, Hodges SA: Are natural hybrids fit or unfit relative to their parents?. Trends Ecol Evol. 1995, 10: 67-71. 10.1016/S0169-5347(00)88979-X.

    Article  PubMed  CAS  Google Scholar 

  11. Mallet J: Hybridization as an invasion of the genome. Trends Ecol Evol. 2005, 20: 229-237. 10.1016/j.tree.2005.02.010.

    Article  PubMed  Google Scholar 

  12. Whitney KD, Randell RA, Rieseberg LH: Adaptive introgression of herbivore resistance traits in the weedy sunflower Helianthus annuus. Am Nat. 2006, 167: 794-807. 10.1086/504606.

    Article  PubMed  Google Scholar 

  13. Pardo-Diaz C, Salazar C, Baxter SW, Merot C, Figueiredo-Ready W, Joron M, McMillan WO, Jiggins CD: Adaptive introgression across species boundaries in Heliconius butterflies. PLoS Genet. 2012, 8: e1002752-10.1371/journal.pgen.1002752.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  14. Whitney KD, Randell RA, Rieseberg LH: Adaptive introgression of abiotic tolerance traits in the sunflower Helianthus annuus. New Phytol. 2010, 187: 230-239. 10.1111/j.1469-8137.2010.03234.x.

    Article  PubMed  Google Scholar 

  15. Martin NH, Bouck AC, Arnold ML: Detecting adaptive trait introgression between Iris fulva and I. brevicaulis in highly selective field conditions. Genetics. 2006, 172: 2481-2489. 10.1534/genetics.105.053538.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  16. Garroway CJ, Bowman J, Cascaden TJ, Holloway GL, Mahan CG, Malcolm JR, Steele MA, Turner G, Wilson PJ: Climate change induced hybridization in flying squirrels. Glob Change Biol. 2010, 16: 113-121. 10.1111/j.1365-2486.2009.01948.x.

    Article  Google Scholar 

  17. Barton NH: The role of hybridization in evolution. Mol Ecol. 2001, 10: 551-568. 10.1046/j.1365-294x.2001.01216.x.

    Article  PubMed  CAS  Google Scholar 

  18. Donovan LA, Rosenthal DR, Sanchez-Velenosi M, Rieseberg LH, Ludwig F: Are hybrid species more fit than ancestral parent species in the current hybrid species habitats?. J Evol Biol. 2010, 23: 805-816. 10.1111/j.1420-9101.2010.01950.x.

    Article  PubMed  CAS  Google Scholar 

  19. Tsukada M: Map of vegetation during the last glacial maximum in Japan. Quaternary Res. 1985, 23: 369-381. 10.1016/0033-5894(85)90041-9.

    Article  Google Scholar 

  20. Savolainen O, Pyhajarvi T: Genomic diversity in forest trees. Curr Opin Plant Biol. 2007, 10: 162-167. 10.1016/j.pbi.2007.01.011.

    Article  PubMed  CAS  Google Scholar 

  21. Evanno G, Regnaut S, Goudet J: Detecting the number of clusters of individuals using the software structure: a simulation study. Mol Ecol. 2005, 14: 2611-2620. 10.1111/j.1365-294X.2005.02553.x.

    Article  PubMed  CAS  Google Scholar 

  22. Pritchard JK, Stephens M, Donnelly P: Inference of population structure using multilocus genotype data. Genetics. 2000, 155: 945-959.

    PubMed  CAS  PubMed Central  Google Scholar 

  23. Thuiller W, Lafourcade B, Araujo M: The Presentation Manual for BIOMOD. 2012, Laboratoire d'°Cologie Alpine, Université Joseph Fourier, Grenoble, France

    Google Scholar 

  24. Schonswetter P, Paun O, Tribsch A, Niklfeld H: Out of the Alps: colonization of Northern Europe by East Alpine populations of the glacier buttercup Ranunculus glacialis L. (Ranunculaceae). Mol Ecol. 2003, 12: 3373-3381. 10.1046/j.1365-294X.2003.01984.x.

    Article  PubMed  CAS  Google Scholar 

  25. Ehrich D, Alsos IG, Brochmann C: Where did the northern peatland species survive the dry glacials: cloudberry (Rubus chamaemorus) as an example. J Biogeogr. 2008, 35: 801-814. 10.1111/j.1365-2699.2007.01864.x.

    Article  Google Scholar 

  26. Petit RJ, Aguinagalde I, de Beaulieu J-L, Bittkau C, Brewer S, Cheddadi R, Ennos R, Fineschi S, Grivet D, Lascoux M: Glacial refugia: hotspots but not melting pots of genetic diversity. Science. 2003, 300: 1563-1565. 10.1126/science.1083264.

    Article  PubMed  CAS  Google Scholar 

  27. Aoki K, Suzuki T, Murakami N, Hsu T-W: Phylogeography of the component species of broad-leaved evergreen forests in Japan, based on chloroplast DNA variation. J Plant Res. 2004, 117: 77-94. 10.1007/s10265-003-0132-4.

    Article  PubMed  Google Scholar 

  28. Yahara T, Ohba H, Murata J, Iwatsuki K: Taxonomic review of vascular plants endemic to Yakushima Island. Japan J Fac Sci Univ Tokyo III. 1987, 14: 69-119.

    Google Scholar 

  29. Jordano P: Seed weight variation and differential avian dispersal in blackberries Rubus ulmifolius. Oikos. 1984, 43: 149-153. 10.2307/3544762.

    Article  Google Scholar 

  30. Traveset A, Willson MF: Ecology of the fruit-colour polymorphism in Rubus spectabilis. Evol Ecol. 1998, 12: 331-345. 10.1023/A:1006504317585.

    Article  Google Scholar 

  31. Jordano P: Migrant birds are the main seed dispersers of blackberries in southern Spain. Oikos. 1982, 38: 183-193. 10.2307/3544018.

    Article  Google Scholar 

  32. Strasburg JL, Rieseberg LH: How robust are “isolation with migration” analyses to violations of the IM model? A simulation study. Mol Biol Evol. 2010, 27: 297-310. 10.1093/molbev/msp233.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  33. Melo-Ferreira J, Boursot P, Suchentrunk F, Ferrand N, Alves PC: Invasion from the cold past: extensive introgression of mountain hare (Lepus timidus) mitochondrial DNA into three other hare species in northern Iberia. Mol Ecol. 2005, 14: 2459-2464. 10.1111/j.1365-294X.2005.02599.x.

    Article  PubMed  CAS  Google Scholar 

  34. Rieseberg LH, Kim S-C, Randell RA, Whitney KD, Gross BL, Lexer C, Clay K: Hybridization and the colonization of novel habitats by annual sunflowers. Genetica. 2007, 129: 149-165. 10.1007/s10709-006-9011-y.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Rieseberg LH, Blackman BK: Speciation genes in plants. Ann Bot. 2010, 106: 439-455. 10.1093/aob/mcq126.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  36. Anderson E: Hybridization of the habitat. Evolution. 1948, 2: 1-9. 10.2307/2405610.

    Article  Google Scholar 

  37. Rieseberg LH: Hybrid origins of plant species. Annu Rev Ecol Syst. 1997, 28: 359-389. 10.1146/annurev.ecolsys.28.1.359.

    Article  Google Scholar 

  38. Excoffier L, Ray N: Surfing during population expansions promotes genetic revolutions and structuration. Trends Ecol Evol. 2008, 23: 347-351. 10.1016/j.tree.2008.04.004.

    Article  PubMed  Google Scholar 

  39. Guichoux E, Garnier-Géré P, Lagache L, Lang T, Boury C, Petit RJ: Outlier loci highlight the direction of introgression in oaks. Mol Ecol. 2013, 22: 450-462. 10.1111/mec.12125.

    Article  PubMed  CAS  Google Scholar 

  40. Haygood R, Ives AR, Andow DA: Consequences of recurrent gene flow from crops to wild relatives. Proc R Soc B-Biol Sci. 2003, 270: 1879-1886. 10.1098/rspb.2003.2426.

    Article  Google Scholar 

  41. Currat M, Ruedi M, Petit RJ, Excoffier L: The hidden side of invasions: massive introgression by local genes. Evolution. 2008, 62: 1908-1920.

    PubMed  Google Scholar 

  42. Lexer C, Joseph JA, van Loo M, Barbara T, Heinze B, Bartha D, Castiglione S, Fay MF, Buerkle CA: Genomic admixture analysis in European Populus spp. reveals unexpected patterns of reproductive isolation and mating. Genetics. 2010, 186: 699-712. 10.1534/genetics.110.118828.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  43. Ingvarsson PK, García MV, Hall D, Luquez V, Jansson S: Clinal variation in phyB2, a candidate gene for day-length-induced growth cessation and bud set, across a latitudinal gradient in European aspen (Populus tremula). Genetics. 2006, 172: 1845-1853. 10.1534/genetics.105.047522.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  44. Ingvarsson PK, Garcia MV, Luquez V, Hall D, Jansson S: Nucleotide polymorphism and phenotypic associations within and around the phytochrome B2 locus in European aspen (Populus tremula, Salicaceae). Genetics. 2008, 178: 2217-2226. 10.1534/genetics.107.082354.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  45. Hedrick PW: Adaptive introgression in animals: examples and comparison to new mutation and standing variation as sources of adaptive variation. Mol Ecol. 2013, 22: 4606-4618. 10.1111/mec.12415.

    Article  PubMed  Google Scholar 

  46. Castric V, Bechsgaard J, Schierup MH, Vekemans X: Repeated adaptive introgression at a gene under multiallelic balancing selection. PLoS Genet. 2008, 4: e1000168-10.1371/journal.pgen.1000168.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Arnold ML, Martin NH: Adaptation by introgression. J Biol. 2009, 8: 82-10.1186/jbiol176.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Rieseberg L: Adaptive introgression: the seeds of resistance. Curr Biol. 2011, 21: R581-R583. 10.1016/j.cub.2011.06.038.

    Article  PubMed  CAS  Google Scholar 

  49. Song Y, Endepols S, Klemann N, Richter D, Matuschka F-R, Shih C-H, Nachman MW, Kohn MH: Adaptive introgression of anticoagulant rodent poison resistance by hybridization between Old World mice. Curr Biol. 2011, 21: 1296-1301. 10.1016/j.cub.2011.06.043.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  50. Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol. 2000, 132: 365-386.

    PubMed  CAS  Google Scholar 

  51. Doyle J: DNA protocols for plants. Molecular techniques in taxonomy NATO ASI Series. Volume 57. Edited by: Hewitt GM, Johnston AWB, Young JPW. 1991, Springer, New York, 283-293.

    Google Scholar 

  52. Stephens M, Smith NJ, Donnelly P: A new statistical method for haplotype reconstruction from population data. Am J Hum Genet. 2001, 68: 978-989. 10.1086/319501.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  53. Nei M: Molecular evolutionary genetics. 1987, Columbia University Press, New York

    Google Scholar 

  54. Hudson RR, Kreitman M, Aguadé M: A test of neutral molecular evolution based on nucleotide data. Genetics. 1987, 116: 153-159.

    PubMed  CAS  PubMed Central  Google Scholar 

  55. Wright SI, Charlesworth B: The HKA test revisited: a maximum-likelihood-ratio test of the standard neutral model. Genetics. 2004, 168: 1071-1076. 10.1534/genetics.104.026500.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Tajima F: The effect of change in population size on DNA polymorphism. Genetics. 1989, 123: 597-601.

    PubMed  CAS  PubMed Central  Google Scholar 

  57. Fu YX, Li WH: Statistical tests of neutrality of mutations. Genetics. 1993, 133: 693-709.

    PubMed  CAS  PubMed Central  Google Scholar 

  58. Hey J, Nielsen R: Multilocus methods for estimating population sizes, migration rates and divergence time, with applications to the divergence of Drosophila pseudoobscura and D. persimilis. Genetics. 2004, 167: 747-760. 10.1534/genetics.103.024182.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  59. Hey J: Isolation with migration models for more than two populations. Mol Biol Evol. 2010, 27: 905-920. 10.1093/molbev/msp296.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  60. Koch MA, Haubold B, Mitchell-Olds T: Comparative evolutionary analysis of chalcone synthase and alcohol dehydrogenase loci in Arabidopsis, Arabis, and related genera (Brassicaceae). Mol Biol Evol. 2000, 17: 1483-1498. 10.1093/oxfordjournals.molbev.a026248.

    Article  PubMed  CAS  Google Scholar 

  61. Tuskan GA, DiFazio S, Jansson S, Bohlmann J, Grigoriev I, Hellsten U, Putnam N, Ralph S, Rombauts S, Salamov A, Schein J, Sterck L, Aerts A, Bhalerao RR, Bhalerao RP, Blaudez D, Boerjan W, Brun A, Brunner A, Busov V, Campbell M, Carlson J, Chalot M, Chapman J, Chen GL, Cooper D, Coutinho PM, Couturier J, Covert S, Cronk Q, et al: The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science. 2006, 313: 1596-1604. 10.1126/science.1128691.

    Article  PubMed  CAS  Google Scholar 

  62. Gompert Z, Buerkle CA: Introgress: a software package for mapping components of isolation in hybrids. Mol Ecol Resour. 2010, 10: 378-384. 10.1111/j.1755-0998.2009.02733.x.

    Article  PubMed  CAS  Google Scholar 

  63. Hamilton JA, Lexer C, Aitken SN: Genomic and phenotypic architecture of a spruce hybrid zone (Picea sitchensis × P. glauca). Mol Ecol. 2013, 22: 827-841. 10.1111/mec.12007.

    Article  PubMed  CAS  Google Scholar 

  64. Anderson EC, Thompson EA: A model-based method for identifying species hybrids using multilocus genetic data. Genetics. 2002, 160: 1217-1229.

    PubMed  CAS  PubMed Central  Google Scholar 

  65. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A: Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005, 25: 1965-1978. 10.1002/joc.1276.

    Article  Google Scholar 

  66. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BJ, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JM, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberon J, Williams S, Wisz MS, Zimmermann NE: Novel methods improve prediction of species’ distributions from occurrence data. Ecography. 2006, 29: 129-151. 10.1111/j.2006.0906-7590.04596.x.

    Article  Google Scholar 

  67. Thuiller W, Lafourcade B, Engler R, Araújo MB: BIOMOD - a platform for ensemble forecasting of species distributions. Ecography. 2009, 32: 369-373. 10.1111/j.1600-0587.2008.05742.x.

    Article  Google Scholar 

  68. Thuiller W: BIOMOD–optimizing predictions of species distributions and projecting potential future shifts under global change. Glob Change Biol. 2003, 9: 1353-1362. 10.1046/j.1365-2486.2003.00666.x.

    Article  Google Scholar 

  69. R Core Team: R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014. ., []

  70. Barbet-Massin M, Jiguet F, C°Cile Albert H, Thuiller W: Selecting Pseudo-Absences for Species Distribution Models: How, Where and How Many?. Methods in Ecology and Evolution. 2012, 3: 327-38. 10.1111/j.2041-210X.2011.00172.x.

    Article  Google Scholar 

  71. Phillips SJ, Anderson RP, Schapire RE: Maximum entropy modeling of species geographic distributions. Ecol Model. 2006, 190: 231-259. 10.1016/j.ecolmodel.2005.03.026.

    Article  Google Scholar 

Download references


We thank H Tachida, and J Chen for their useful comments on the analysis and the manuscript, and Y Onoda, R Kawaguchi, H Toyama and T Tagawa for helpful comments during the fieldwork. We are also grateful to two anonymous reviewers for helpful comments to improve this manuscript. This research was supported by JSPS KAKENHI Grant Number 22770021 and 24247005, Kyushu University P&P for Start-up, and to Kyushu University from Global COE Program. All authors have no conflict of interest to declare.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Makiko Mimura.

Additional information

Competing interests

The authors declare that they have no competing interests.

Electronic supplementary material


Additional file 1: Table S1.: Loci used in this study. Table S2. Summary statistics and neutrality tests of populations at species boundaries. Table S3. Other priors tested in IMa2. Table S4. Model evaluation for ecological niche modeling. Figure S1. Locations of occurrence data used for ecological niche modeling. Figure S2. Projection of current and past distribution of R. palmatus and R. grayanus using the Maxent. (DOCX 1 MB)

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mimura, M., Mishima, M., Lascoux, M. et al. Range shift and introgression of the rear and leading populations in two ecologically distinct Rubusspecies. BMC Evol Biol 14, 209 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: