- Research article
- Open Access
Quaternary history and contemporary patterns in a currently expanding species
BMC Evolutionary Biology volume 9, Article number: 220 (2009)
Quaternary climatic oscillations had dramatic effects on species evolution. In northern latitudes, populations had to survive the coldest periods in refugial areas and recurrently colonized northern regions during interglacials. Such a history usually results in a loss of genetic diversity. Populations that did not experience glaciations, in contrast, probably maintained most of their ancestral genetic diversity. These characteristics dramatically affected the present-day distribution of genetic diversity and may influence the ability of species to cope with the current global changes. We conducted a range-wide study of mitochondrial genetic diversity in the pine processionary moth (Thaumetopoea pityocampa/T. wilkinsoni complex, Notodontidae), a forest pest occurring around the Mediterranean Basin and in southern Europe. This species is responding to the current climate change by rapid natural range expansion and can also be accidentally transported by humans. Our aim was to assess if Quaternary climatic oscillations had a different effect across the species' range and to determine if genetic footprints of contemporary processes can be identified in areas of recent introduction.
We identified three main clades that were spatially structured. In most of Europe, the genetic diversity pattern was typical for species that experienced marked glaciation cycles. Except in refugia, European populations were characterized by the occurrence of one main haplotype and by a strong reduction in genetic diversity, which is expected in regions that were rapidly re-colonized when climatic conditions improved. In contrast, all other sub-clades around the Mediterranean Basin occurred in limited parts of the range and were strongly structured in space, as is expected in regions in which the impact of glaciations was limited. In such places, genetic diversity was retained in most populations, and almost all haplotypes were endemic. This pattern was extreme on remote Mediterranean islands (Crete, Cyprus, Corsica) where highly differentiated, endemic haplotypes were found. Recent introductions were typified by the existence of closely-related haplotypes in geographically distant populations, which is difficult to detect in most of Europe because of a lack of overall genetic structure.
In regions that were not prone to marked glaciations, recent moth introductions/expansions could be detected due to the existence of a strong spatial genetic structure. In contrast, in regions that experienced the most intense Quaternary climatic oscillations, the natural populations are not genetically structured, and contemporary patterns of population expansion remain undetected.
Past climate changes have had dramatic impact on the geographic distribution, demography, and thus the evolution of species. The contemporary distribution of genetic diversity cannot be understood without studying how organisms responded to climate over geological times. Many terrestrial species are today responding to the contemporary global warming , and their future response will at least partially depend on their previous reactions to climatic oscillations. The 'genetic legacy of the Quaternary ice ages' , i.e. the genetic footprint of species' responses to glacial-interglacial successions, has been extensively studied on many species in Europe and North-America, that is, in the geographical regions where glaciations were most intense [3, 4]. Forest insect herbivores, such as those associated with oaks and pines in Europe and the Mediterranean, for example, are known to have responded to post-glacial warming with rapid range expansion northwards and eventually westwards, and to have survived glaciations in southern refugia [5–10]. The intensity of the oscillations increased with latitude, which affected the impact they had on species occurring through a gradient in the so-called ORD (Orbitally forced species Range Dynamics: see ).
Following Pinho and collaborators , we can make two predictions. In northern latitudes, where the effects of glaciations were more severe, fewer and smaller patches of suitable habitat were left for the survival of populations across multiple glaciation cycles, which would have resulted in overall lower diversity, and a lower number of differentiated lineages in northern than in southern areas. Moreover, the effects of climatic changes on the effective population sizes were more dramatic in northern than in southern regions, meaning that northern populations should bear the signature of a rapid demographic expansion following the climate amelioration, whereas southern populations should evidence marks of more stable, long-term effective population sizes.
Going further, Dynesius and Jansson  have predicted differential evolutionary consequences depending on the intensity of the ORD, and these predictions were empirically demonstrated for some taxa. Species that survived a strong ORD during the Quaternary, i.e. species occurring at higher latitudes, were selected for increased vagility and generalism. Dispersal-related traits should have been optimized during the northward progression because high mobility provided an elevated fitness within populations that were tracking a moving habitat. In the same way, generalists (in terms of habitat, host, or diet) had a smaller risk of their niche disappearing. Over evolutionary times, the selective pressures are likely to have changed, with dispersion and generalism favoured during interglacials, and less so during glacial periods when the species were restricted to suitable refugia.
The effects of differential intensities of glaciations on the evolution of the species, described above, are expected for mainland species for which the tracking of acceptable environments through migration was possible. The situation was drastically different for species or populations on islands situated beyond dispersal range, for which any change had to be endured locally, either by altitudinal shifts or by the evolution of local adaptations. Moreover, smaller effective population sizes could have resulted in loss of genetic diversity due to genetic drift. In this case, evolution on islands may have been more rapid than the rate of change on continents , and island populations are thus expected to be highly differentiated from both a genetic and an ecological point of view.
Species or populations that experienced marked climatic oscillations in the past can be seen as a selected assemblage of geographically mobile and latitudinally-independent organisms that are likely to be best adapted for the future climate changes, unless human activity precludes such an option . Yet, comparing the phylogeographic patterns of species occurring over a latitudinal gradient is not straightforward, as other important factors such as life-history traits, ecological requirements, and dispersal ability will probably differ among species. Moreover, data on current modifications to distribution ranges due to global changes are also required to link differential Quaternary histories to present-day evolution.
Here, we present a range-wide genetic study of a circum-Mediterranean insect taxon: the winter pine processionary moth (Thaumetopoea pityocampa/wilkinsoni species complex), which develops mainly on pine species (Pinus spp.). It is a serious forest pest as it can cause heavy defoliations of pines in Mediterranean countries. T. pityocampa has a typical winter larval development . Adults lay eggs on pine leaves in summer, and larvae feed from needles during fall and winter. They pupate in the soil in late winter or early spring, and newly emerged adults disperse to reproduce during summer. Larvae are gregarious and develop in a typical silk shelter. Ecological and genetic data based on mitochondrial and nuclear markers suggest that the species exhibits clear sex-biased dispersal, as females are poorer fliers than males [15, 16]. It is present on both the northern and southern rims of the Mediterranean Basin as well as in the Middle-East (Figure 1), that is, in regions where the impacts of glaciations varied in intensity. Glacial cycles were probably most intense in temperate Europe, while ice sheets are believed not to have occurred in southern Mediterranean countries, nor in the Near East. Populations of the pine processionary moth are currently believed to belong to a species complex including two congeneric taxa: Thaumetopoea pityocampa and T. wilkinsoni. The differentiation between these two species was recently shown , and the monophyly of T. wilkinsoni populations in the near East was confirmed .
Current global changes can affect the genetic patterns of the pine processionary moth in different ways, and superimpose new signatures on existing natural phylogeographical structure. An increase in mean winter temperatures in Europe is known to drive moth expansion northward and to higher altitudes, in regions where hosts are available, by providing suitable conditions in places were larvae could not previously have survived . And if environmental conditions are suitable for the insect's development, new pine plantations can also increase the potential range of the pest by offering hosts in places where they were not previously available. Contemporary changes in the moth's distribution range can proceed either from a natural, non-assisted expansion of insect populations into newly suitable habitats, or from long-range dispersal that is likely to be human-aided (accidental transportation of adults or larvae, or transplantation of buried pupae when mature trees are planted). In cases of natural expansion, we expect a gradual loss of diversity away from the native range (e.g., [10, 19]), while long-distance, assisted introductions should result in a discontinuous distribution of genetic diversity. A recent study of the range-wide genetic structure of the oak gall-wasp Andricus kollari showed that the patterns observed in England were consistent with the hypothesis of man-aided, long-distance introductions .
The aim of our study was to infer the Quaternary history of the species complex over its whole distribution range, to test if the effects of Quaternary climatic oscillations can be differentially detected in the different parts of the range, and if any impact of global change can be detected and interpreted in the light of the species' evolutionary history. Both mitochondrial and nuclear markers are useful to reconstruct the evolutionary history of a species complex. Although nuclear markers such as AFLPs and microsatellites were previously developed for this species [15–17], we were not able to use them in this range-wide study because of homoplasy and because of the occurrence of null alleles in divergent clades. We thus present data based on mitochondrial DNA alone. As female dispersion is the limiting factor for species expansion, inferring the history of female lineages provides a good indication of species dispersal. Yet, potential biases due to the use of mitochondrial markers alone, such as the selective sweep that can be caused by bacterial symbionts , as well as the limits inherent to single gene phylogenies, should be acknowledged.
We obtained 34 COI and 51 COII haplotypes. Among these, 14 COI and 21 COII haplotypes were known from either Salvato et al.  or Simonato et al.  and were already available in GenBank (accession numbers EF015538-EF015549 and EF210075-EF210097). The new haplotypes found in the present study have been deposited in GenBank (accession numbers GQ507373 to GQ507422). A total of 67 combined (COI-COII) haplotypes (ht) were found. The selected model of evolution was the General Time Reversible model with gamma distributed heterogeneity of rates (GTR gamma). Interestingly, Bayes factors (BF) indicated a much stronger fit for this model when a clock was assumed than when branch lengths were unconstrained (BF = 142, computed as twice the difference in logarithm of harmonic means of likelihoods). This was confirmed when the performance of models was assessed with the Bollback approach . The GTR gamma model was then used for all subsequent analyses. The specific rates were A-C: 0.144; A-G: 1.166; A-T: 0.068; C-G: 0.031; G-T: 0.019 and α = 0.152.
Phylogenetic inference and node datation
The haplotype composition of each sampled population is given in Additional file 1 (Sampling sites, geographic coordinates, host pine, collector and haplotype composition of each locality). The phylogenetic analysis clearly showed that the T. pityocampa - wilkinsoni complex was structured in three strongly supported clades (Figure 2). A first group of 23 ht clustered all sequences corresponding to T. wilkinsoni  together with the ht found on the island of Crete. This 'wilkinsoni clade' was the sister group of all other ht. A second clade of 13 ht was restricted to Libya, Tunisia (including the nearby Italian island of Pantelleria) and North Algeria ('Eastern North Africa clade', hereafter ENA clade). The third clade comprised 24 European ht, from Spain and Portugal to Greece (with the notable exception of Crete), together with the 7 ht found in Morocco and South Algeria. It will hereafter be referred to as the 'pityocampa clade'. The main nodes were dated by Bayesian inference using a Yule prior and the estimates are given on the phylogenetic tree (Figure 2) and in Table 1, with 95% confidence intervals (CI). The split between the wilkinsoni clade and the 2 others was ca. 7.5 Million years ago (Myrs; 95% CI 5.8 - 9.3), while the separation of the pityocampa vs. ENA clades was dated back to 6.7 Myrs (4.9 - 8.6). The age of the most recent common ancestor (MRCA) of the wilkinsoni clade was estimated to 5.3 Myrs (3.7 - 7.1) while that of the ENA clade was ca. 3.1 Myrs (2.1 - 4.3) and that of the pityocampa clade was estimated to 2.3 Myrs (1.6 - 3.1).
Further geographic structure was found within the three main clades. In the wilkinsoni clade, 4 distinct sub-clades were found with very high support values (Figure 2). The Cretan sub-clade formed the sister group of all other ht. The Cypriot ht were the sister group of the North & West Turkey sub-clade and of the sub-clade grouping the ht from East Turkey, Lebanon and Israel. The ENA clade was divided in 3 sub-clades corresponding to the 3 countries in which the larvae were sampled. The Libyan ht formed a sister group relative to the North Algerian and to the Tunisian sub-clades. Finally, the pityocampa clade was comprised of five strongly supported geographical groups. Haplotypes from the island of Corsica appeared as the sister-group of the four remaining sub-clades: (i) the Iberian Peninsula, (ii) North Morocco, (iii) South Morocco & South Algeria and (iv) the Rest of Europe. Interestingly, 16 individuals sampled in Spain and 2 individuals from western Turkey had "Rest of Europe" haplotypes (Figure 3).
Time of most recent ancestor (tMRCA) of each sub-clade was estimated by Bayesian inference including all the individuals of a given group and assuming a priori either a constant population size or an exponential growth. However, the rate of exponential growth resulted to be positive, with an associated 95% confidence interval excluding 0, for the Rest of Europe only (g = 6.2 10-5 yrs-1; 95% CI: 6.2 10-6 - 1.4 10-1 yrs-1); tMRCAs obtained with an exponential prior are reported only for this group (Table 2). Keeping in mind that our use of a rate from phylogenetics studies will bias estimates upwards, estimated ages for tMRCA resulted to range from 532 000 years ago for North Morocco to 90 000 years ago for Rest of Europe.
Haplotype distribution and haplotype network
Haplotype networks were reconstructed for each of the 3 main clades, and haplotype distributions were mapped (Figure 3). The haplotype networks recovered the same strong geographical patterns as the phylogenetic tree. Within the wilkinsoni clade, most ht were found in a single population, except ht 5J (found throughout Lebanon and Israel and shared by 91 individuals), and ht 4N, 12R and 12K that each occurred in two populations (see Additional file 1, sampling sites, geographic coordinates, host pine, collector and haplotype composition of each locality). All but one ht (20AF, found in Tunisia and Pantelleria) in the ENA clade were endemic to one population. Finally, the pityocampa clade was divided into the 5 sub-clades found on the phylogenetic tree. The network of the Rest of Europe sub-clade was star-shaped (which is typical for expanding populations), with one main ht shared by ca. 74% of sampled individuals and all other ht diverging from it by only one or two mutations. Haplotype 1G was restricted to central and southern Italy. Interestingly, all other haplotypes in Europe were rare, shared by 6 individuals at most and usually endemic to one population. In the Iberian Peninsula, ht 29BA was found in 57% of individuals and in all populations but Gibraltar and two southern sites. None of the other sub-clades in the pityocampa group showed a star shape.
Within population, gene diversity H and nucleotide diversity per site π are given in Additional file 1. Fu's Fs and Tajima's D were estimated and tested within each of the 12 sub-clades except for the Libyan group as it was composed of only 6 individuals. Both indices were significantly negative only in the Rest of Europe sub-clade (see Figures 2 &3 and Table 3). Mismatch analyses were consistent with the sudden expansion model for this sub-clade (SSD = 0.00298, P = 0.746) and showed a unimodal distribution that closely fit the expected distribution. In this sub-clade, τ was estimated to 1.77 (95% CI: 0 - 4.20), and the corresponding expansion was thus estimated to date back ca. 147 000 years (95% CI: 0 - 348 261 years).
Overall phylogenetic patterns around the Mediterranean Basin
The pine processionary moth is currently understood to consist of a species complex containing two taxa, namely Thaumetopoea pityocampa and T. wilkinsoni [16, 17]. Surprisingly, the thorough sampling we obtained clearly proved that the species complex is composed of three rather than two main clades, as the populations from ENA appeared as the monophyletic sister group of the pityocampa clade (Figure 2), and the wilkinsoni clade (including populations from Crete) as the sister group of the ENA and pityocampa clades. Determining the taxonomic status of the clusters identified here is beyond the scope of the present study, and would need complementary data such as nuclear markers and morphological data. For this reason, we will hereafter mention three clades (the pityocampa clade, the ENA clade and the wilkinsoni clade) without further discussion of their taxonomic level.
Another striking result is that the species complex is ancient, and predates the Quaternary by a few million years. In a previous study, the divergence between Thaumetopoea pityocampa and T. wilkinsoni was estimated to 4.5 - 5.2 Myrs . That result was obtained from a limited sampling, in which only the European clade of T. pityocampa (as the population from Spain contained only European haplotypes rather than Iberian ones) and one Turkish population of T. wilkinsoni were analyzed. In the study presented here, a thorough sampling of populations (including the Cretan lineage of wilkinsoni, as well as most sub-clades of pityocampa and the previously unknown ENA clade) and a Bayesian approach taking into account the gamma-distributed heterogeneity of rates, allowed us to obtain a different estimate for the age of the main evolutionary events. In particular, the split between the wilkinsoni and the pityocampa-ENA clades was dated on average to 7.5 Myrs, with a confidence interval of 5.8 - 9.3 Myrs, which could correspond to the full opening of the Aegean Trench ca. 9 Myrs ago [4, 22]. Interestingly, within the wilkinsoni clade, the estimates of node ages we obtained were very similar to estimates obtained previously using codon-partitioned models . While we did not have enough a priori evidence to calibrate our own molecular clock, it should be noted that, by using the universal rate, the divergence of Crete from all the other wilkinsoni haplotypes was dated back to about 5.3 Myrs, which corresponds to the Messinian salinity crisis and the time when the Mediterranean Sea was at its lowest level, thus making the colonization of islands easier . Node ages should, however, always be interpreted with caution, given that a single mitochondrial locus was used .
The differentiation between the pityocampa and the ENA clades was unexpected, and cannot be explained by classical barriers to gene flow such as mountain ranges or fragmentation of suitable habitats. Similar patterns of East-West genetic differentiation have occasionally been found in North Africa for other organisms [24–27], but were estimated to date back to various times, from 1.6 to 12 Myrs. A range of hypotheses have been proposed by the authors to explain the abrupt genetic differentiation within species in this region. They invoked either climatic scenarios, with the rapid alternations of arid and humid periods acting as a spatially structuring force in this region during the Quaternary; or biogeographical scenarios such as the formation of the Straits of Gibraltar after the Messinian salinity crisis, the split of the Tellian (Tell) Atlas at the Sicilian Channel, or the more ancient formation of the Neo-Pyrenees. Indeed, the pine processionary moth depends on the presence of pine hosts for development, and it is known to be susceptible to summer aridity and excessive heat . Moreover, it was recently shown that barriers of moderate altitude can hamper gene flow in this species . Finally, the species also exhibits large among-population variation in term of reproductive phenology  that permits the adaptation of populations to the local climatic conditions and may also limit gene flow. Thus, the conjunction of major biogeographical events (the rise of the Tellian Atlas) and late Tertiary climatic change (with a possible gap in host availability during more arid phases) could explain the split that occurred between the pityocampa and the ENA clades some 6-7 Myrs ago.
If the main divergences within the T. pityocampa/wilkinsoni complex date from the end of the Miocene, all clades also predate the Quaternary. Each of the identified clades thus experienced the Quaternary climatic oscillations after they split from a common ancestor, and the impact of ice ages can easily be compared between these closely-related clusters.
Phylogeographical patterns and within-clade structures
Each of the three identified clades showed a strong phylogeographical structure, and was composed of 3, 4 or 5 well-differentiated sub-clades. With the notable exception of the Rest of Europe (see below), each sub-clade was restricted to a rather narrow geographical region. Interestingly, a vast majority of haplotypes (54 out of 67) were endemic to one single population, and only five were found in three or more populations. Thus, the pine processionary moth exhibits an extreme spatial structure and a highly reduced mitochondrial female gene flow even on a regional scale, even though results based solely on a mitochondrial marker should be interpreted with caution. Over most of the distribution range, the actual dispersal of the females is thus highly limited. The main barriers to gene flow are sea straits, mountain ranges (the Pyrenees, Taurus Mountains, High Atlas, Saharian Atlas), or desert regions where hosts are lacking (Libya).
Within-clade structures were all dated back to at least 1.3 Myrs (Figure 2), i.e. to the Early- or Mid- Pleistocene. One could suggest that local ecological pressures recurrently acted to reinforce and maintain the genetic structures whenever gene flow had been interrupted. As migration is very limited and cannot counteract the effects of drift, genetic differentiation then simply increases with time, leading to divergent lineages in different regions. Ecological factors involved in differentiation include reproductive phenology, which can prevent mating by shifting adult emergence periods in different populations, or local adaptation to host characteristics, which, it has been proved, can lead to complete mortality in translocated larvae . A more precise sampling in North Africa would allow the delimitation of the exact distribution ranges of each sub-clade, and the determination of whether contact zones do exist between them.
Once again with the exception of the Rest of Europe sub-clade, a majority of the sampled populations in the natural area of the species show more than one haplotype, even when only 5-10 individuals were sampled, and even at the edge of the distribution or in very isolated places such as Libya or on remote islands. Like many insects, the processionary moth has evolved the capacity of prolonged diapause, which allows the emergence of adults of the same generation over several years, thus limiting the risk of local extinction and increasing the probability of retaining local genetic diversity. A high genetic diversity in the southernmost populations has also been observed for other Mediterranean insect species (e.g., [8, 9, 31, 32]). Interestingly, no sign of demographic expansion could be detected in these regions, as is expected in regions where glaciations were less intense . However, one region in the Near East is characterized by an extreme genetic depauperization as one single haplotype is present in Lebanon and Israel. This is probably linked to the very recent origin of moth populations in this region, where pine trees were not present before the beginning of the XXth century except for remote relictual stands (see Simonato et al.  for a detailed discussion). The moth has expanded slowly following afforestation. Recent expansions due to global changes are discussed below.
Europe (except the Iberian Peninsula that harbours a specific sub-clade) is characterized by a major haplotype that occurs from the Atlantic coast to the Greek islands and even along the Turkish border. Moreover, the Rest of Europe sub-clade had the star-shape that is typical for populations expanding after a demographic bottleneck , and the Bayesian analyses indicated for this group a positive exponential growth supporting a past demographic expansion [34, 35]. Tajima's D and Fu's Fs statistics revealed an excess of rare haplotypes and allowed us to reject mutation-drift equilibrium. As similar results can be obtained from different processes (see for instance [36, 37]), we conducted a mismatch analysis that also indicated that European populations underwent bottleneck events due to the recurrent glaciation periods and then recurrently expanded after the retreat of the ice. Such results are classically found for temperate and cold-sensitive species in this region [4, 9, 10]. The spatial distribution of the rare haplotypes gives insights into the existence and locality of refugial areas where the moths survived the glaciations, and possibly also the interglacials as this Mediterranean species is susceptible to both winter cold and summer heat and aridity . As for most of the European temperate species, these moth refugia are located in the Balkans and in Italy, as well as in the western part of the Iberian Peninsula . Our results also show that the Alps and the North of Italy form a region with a high proportion of endemic haplotypes, thus differing from all other regions in Europe. This could indicate that this area also was a Quaternary refugium where part of the ancestral polymorphism was locally retained. Interestingly, the Alpine Arc was recently proved to be a refugial area for Pinus sylvestris , which suggests that the refugial moth populations could have survived the glacial maxima in this region on that particular host.
With the exception of Lebanon and Israel where the moth settled and expanded only recently (see below), our results show contrasting patterns of evolution during the Quaternary in the different regions of the moth's distribution range, corresponding to our expectations. In particular, populations occurring in the highest latitudes exhibit a radically different genetic footprint to that of all other sub-clades. If moth populations in the vast majority of the distribution range are characterized by a strong spatial genetic structure, a high number of endemic haplotypes and a restricted geographical range for each identified sub-clade, the patterns in the Rest of Europe are completely the opposite. In this European region, overall genetic diversity is low; spatial genetic structure is limited as a consequence of the large distribution of the major haplotype 1A; and this single sub-clade is distributed over one half of the total distribution area of the species complex. Moreover, signs of recent expansion were detected only in the European sub-clade, that is, in the region where glacial cycles were probably most intense. As for most European species, endemic haplotypes and some genetic variability can still be detected in plausible refugial areas near the Pyrenees, in Italy and in the Balkans [4, 8, 13]. In the rest of the area, the recurrent northward expansions that followed climate warming after glacial maxima were probably rapid, pioneer-like , and lead to a genetic homogenization of populations. In other temperate forest insect species, genetic diversity was also mostly retained either in the southernmost populations [9, 31], or in the eastern regions where the impact of the Quaternary cycles was less pronounced (as for Andricus gall wasps developing on oaks, see [5, 6, 32]).
Evolution of insular populations
In each of the three main clades, the most divergent sub-clade corresponds to an island, or to an island-like continental region. The Corsican ht are the most differentiated within the pityocampa clade, the Cretan ht form the sister-group of all other sub-clades within the wilkinsoni clade, and the highly isolated moths of Cyrenaica (Libya) are most divergent in the ENA clade. Moreover, the second most differentiated group in the wilkinsoni clade is the Cypriot cluster. Each of the island lineages thus diverged from the corresponding sub-clade a long time ago (from 5.3 Myrs for the Cretan haplotypes to 1.8 Myrs for Cyprus). On the other hand, the most recent common ancestors for each island are much more recent (0.38 Myrs in Crete and 0.15 Myrs in Cyprus for example). Hence, it is not possible at this point to determine when exactly the colonization of each island (or isolated place) occurred, and for how long the moths have been isolated from the continent. However, even if we consider only the estimated age of the MRCA (which could be overestimated because we used a rate from phylogenetic studies, see , though the use of a Bayesian coalescent prior should in part address this problem), we can suggest that the pine processionary moths survived locally on these remote islands without female exchanges from the continent during few glacial cycles. As a consequence, they had to evolve locally to cope with at least some Quaternary oscillations and environmental changes . The quite recent estimate for the age of MRCA for each island could be due to a founder effect followed by the effect of genetic drift in small populations , as well as by fixation of selected variation. We have evidence, in the pine processionary moth, that male gene flow have occurred between Cyprus and the continent , as was suggested by the strong genetic similarity between Cypriot and Turkish populations found with both AFLPs and microsatellite markers. This could also be true for islands situated at moderate distance from the continent.
Contemporary patterns in a historical context
In recent years, the distribution range of the processionary moth has been affected by global changes, mainly through winter warming  and pine afforestation. Moreover, it is suspected that human-aided dispersal occurs over various distances, either via 'hitch-hiking' (passive transportation of individuals) or accidental transplantation of pupae with grown trees moved with a substantial amount of soil. The genetic signatures of these contemporary events will be different, and may not be easy to detect in all regions. In most regions around the Mediterranean Basin, apart from Europe, the natural phylogeographic pattern consists of genetically diverse and spatially structured populations. Regions with surprisingly low levels of genetic diversity (e.g. Lebanon and Israel), or sampling sites that are genetically closely related to geographically distant populations (e.g. site 53 in Turkey, or 69 in Algeria) can be easily identified. These sites actually correspond to zones of recent moth expansion either following anthropogenic pine expansion, such as in Israel or Algeria where pines were planted both in the beginning and at the end of the XXth century, or following the ongoing climate warming that allows insects to survive winter in places where they could not some decades ago (site 53 near the Black Sea). Given the natural spatial genetic structure in these regions, the recent modifications in moth distributions due to global changes are actually easy to track. The populations discussed above all likely originated from the closest natural stand, and could be the result of non-assisted moth expansion (but a better sampling in Algeria is needed to confirm this). The mitochondrial marker we used here would also be useful to identify between-subclades female gene flow, but a nuclear marker is necessary to track male exchanges. In most of Europe, however, where the populations are not genetically structured in space and where overall genetic diversity is low, probably as a consequence of Quaternary history, one cannot distinguish recent and historical events, as contemporary expansions (proved at both higher latitudes and altitudes, see ) result in the loss of genetic diversity, as in the case of rapid, leptokurtic dispersal northwards that allowed re-colonization of northern habitats during interglacials [10, 19].
The patterns are somewhat different for islands. Some harbour populations of moths that are genetically very close, or even similar, to their closest continental neighbours. This is not surprising for islands that are located very close to the continent, like most Greek islands or Sicily, that can probably be recurrently colonized from mainland sources. A similar result was found, for example, for rodents . In contrast, one would expect the populations of Sardinia, Pantelleria, or the Balearic Islands, that are beyond the natural dispersal range, to be highly differentiated, as are the moths from Corsica, Cyprus or Crete. In Sardinia, pines are still very rare and, until recently, no pine processionary moths were found on the island. In 2004-2005, pines were transplanted from Tuscany and a population of the moth was detected the following year . Not surprisingly, the moths sampled in Sardinia all bore the haplotype found in Tuscany, showing that the pests were accidentally introduced with their hosts. A similar hypothesis could be invoked to explain the occurrence of moths bearing the major haplotype 1A in the Balearic Islands, where the moth was first detected in the 1950s (G. Sanchez, pers. com.). The situation on the island of Pantelleria is different as genetic data show that pine trees (Pinus pinaster) occur naturally and exhibit a high degree of local genetic diversity . In contrast to its pine host, the local moth population has low genetic diversity and bears the main Tunisian haplotype, suggesting that it was recently introduced.
We conducted a range-wide study of genetic diversity in a species complex occurring across regions in which Quaternary oscillations differed in intensity - or were absent. We have clearly shown that the sub-clade distributed over Europe had a phylogeographical pattern typical for species that experienced marked glaciation cycles. Refugial areas, where genetic diversity was retained and where endemic haplotypes were found, were identified in Italy, in the Alps and in the Balkans. All other populations were characterized by the occurrence of one main haplotype and by a strong reduction in genetic diversity, as is expected in regions that were rapidly re-colonized by a limited number of migrants when climatic conditions improved. We have ecological evidence that the moth populations are currently experiencing an expansion due to global change (both climate warming and host plantations). However, in the temperate regions of Europe, the natural populations are not genetically structured in space. The contemporary patterns are thus indistinguishable from historical ones as they also consist in progressions of the most widely distributed haplotypes. In contrast, all other sub-clades occur in limited ranges and are strongly structured in space, as is expected in regions that did not experience Quaternary cycles of glaciations. In these areas, genetic diversity has been retained in most populations, and each haplotype is usually found in only one population. The genetic signatures of recent moth introductions/expansions in these regions can be easily detected: recent expansions are characterized by the loss of genetic diversity across whole regions (e.g. Lebanon and Israel), and recent introductions are typified by the existence of closely related haplotypes in geographically distant populations. A strong differentiation is also expected for island populations if the island colonization occurred naturally in geological times. Thus, the occurrence (or not) of a significant 'natural' genetic structure of populations will determine whether or not recent expansions or introductions can be detected in the genetic data.
Complementary data based on polymorphic nuclear sequences would now be useful to compare biparental and maternally inherited markers, and to detect how male dispersal may have influenced the global evolutionary history of the species. Finally, our findings could be interesting for pest control as individuals present in different clades or sub-clades may have evolved different ecological characteristics (dispersal ability, host adaptation, egg size, resistance to parasitoids or pathogens), which can affect pest management strategies. Phenotypic traits should now be measured within each phylogenetic clade and sub-clade and compared between regions to test this hypothesis.
Eggs and larvae of Thaumetopoea pityocampa and T. wilkinsoni were collected in 51 different locations from 16 countries in Europe and around the Mediterranean Basin. In addition, data from the 9 populations studied in Salvato et al.  and the 14 populations from Simonato et al.  were updated with newly sampled individuals and used here. The complete data set thus consisted of 74 populations (see Additional file 1 and Figure 3). Two to 26 individuals were sampled per population following a protocol described elsewhere , except in one locality in Morocco where only one individual could be found.
DNA was extracted using a salting-out procedure . Two mitochondrial DNA (mtDNA) fragments, corresponding to parts of the COI and COII genes, were amplified from 732 individuals and analyzed by SSCP, as described in Salvato et al. . For each mobility class, 1-5 individuals were sequenced to check for the accuracy of SSCP analysis and to determine the corresponding haplotype. Sequences were aligned using ClustalX . Sequences of COI (263 bp) and COII (341 bp) fragments were then concatenated, resulting in a 604 bp-long final alignment.
A partition homogeneity test was performed for the COI and COII fragments using Paup*4b10 . The test confirmed that these regions contained homogeneous signals (p = 0.15), allowing data to be pooled for further analyses.
Model selection was performed using a Bayesian framework, through comparison of Bayes factors . In addition, model performance was assessed using a posterior predictive test . Models tested were selected using a modified version of Hierarchy 1 in MrModeltest 2.2 , enforcing or not a molecular clock. Given the limited length of the fragment analyzed and the correlation between proportion of invariant sites and the parameter alpha of the gamma distribution , we decided not to consider the invariant+gamma models.
For Bayes factors calculation, likelihoods for a given model were estimated using MrBayes v3.1.2 , and harmonic means were used as estimators of the overall marginal likelihood of the model. Each MrBayes analysis was the result of two independent chains of 2.106 generations, incrementally heated with T = 0.15. Convergence was assessed by computing the potential scale reduction factor with sump in MrBayes. Differences between Bayes factors obtained from the different models tested, calculated as twice the difference in the logarithm of harmonic means of likelihoods, were compared with reference values from Kass and Raftery .
For model performance assessment we chose as discrepancy variable the multinomial test statistics . Posterior predictive distribution was evaluated through Monte-Carlo simulations of 1,000 datasets for each model using posterior densities of model parameters (tree topology, branch lengths and substitution parameters) inferred by MrBayes. MAPPS software  was used for simulations. The discrepancy between observed test statistics and simulated predictive distributions in the various models was quantified using Bayesian p-values  and the L-criterion proposed by Laud and Ibrahim , both computed with MAPPS.
Relationships between haplotypes and molecular dating were estimated by Bayesian inference of phylogeny using Beast v1.4.8 . The model of sequence evolution and clock assumptions followed the results obtained from previous analyses and a Yule prior on the tree was assumed [55, 56]; Markov chain Monte Carlo (MCMC) was run for 10 million generations, results being logged every 1,000 generations. After discarding the first 10% of the chain, convergence was checked by monitoring traces of sampled parameters and effective sample size following authors' suggestions. Analyses were cross-checked with MrBayes and the time of the most recent common ancestor (tMRCA) of selected clades was determined, assuming a sequence divergence rate of 2% per million years , and reported as a mean value with 95% highest posterior density interval (HPD).
For the most recent nodes, demographic Bayesian analyses were performed separately for each of the identified sub-clades using Beast and including all the sequences of a given group. Assumptions and settings were the same as above, except that coalescent priors of constant size and of exponential growth were used instead of Yule priors, and that two MCMC runs of 100 million steps were performed. tMRCAs of recent sub-clades were estimated assuming a 2% divergence, and must therefore be interpreted as the maximum age for a given sub-clade .
The phylogenetic reconstructions allowed us to identify three highly supported monophyletic clades within which a statistical parsimony network was computed using TCS v1.21 . Such a network estimates genes genealogies from DNA sequences following the method described in Templeton et al. .
Gene diversity H and nucleotide diversity per site π were calculated within populations and within previously identified sub-clades. To infer whether each sub-clade has experienced recent population expansions, Tajima's D and Fu's Fs statistics were calculated and tested with DnaSP 4.10 . Mismatch distributions of the pairwise genetic differences  were then performed using Arlequin 3.1  and their goodness-of-fit to a sudden expansion model was tested using parametric bootstrap approaches (1000 replicates). The sum of squared deviations (SSD) between the observed and expected mismatch distributions was used to assess the significance of the test. Mismatch analyses were also used to estimate the approximate timing of expansion in the sub-clades where mutation-drift equilibrium was rejected. We used the relationship τ = 2ut , τ being the age of expansion measured in units of mutational time, t the expansion time in number of generations, and u the mutation rate per sequence and per generation. This last value was calculated using the relationship u = 2 μk, with μ the mutation rate per nucleotide and k the length of the sequence in nucleotides. The 2% pairwise sequence divergence defined by DeSalle  was used to approximate μ.
Parmesan C: Ecological and evolutionary responses to recent climate change. Annual Review of Ecology, Evolution, and Systematics. 2006, 37: 637-669. 10.1146/annurev.ecolsys.37.091305.110100.
Hewitt GM: The genetic legacy of the Quaternary ice ages. Nature. 2000, 405: 907-913. 10.1038/35016000.
Hewitt GM: Genetic consequences of climatic oscillations in the Quaternary. Philosophical Transactions of the Royal Society B: Biological Sciences. 2004, 359: 183-195. 10.1098/rstb.2003.1388.
Schmitt T: Molecular biogeography of Europe: Pleistocene cycles and postglacial trends. Frontiers in Zoology. 2007, 4: 11-10.1186/1742-9994-4-11.
Challis RJ, Mutun S, Nieves-Aldrey J-L, Preuss S, Rokas A, Aebi A, Sadeghi E, Tavakoli M, Stone GN: Longitudinal range expansion and cryptic eastern species in the western Palaearctic oak gallwasp, Andricus coriarius. Molecular Ecology. 2007, 16: 2103-2114. 10.1111/j.1365-294X.2006.03210.x.
Rokas A, Atkinson R, Webster L, Csoka G, Stone GN: Out of Anatolia: longitudinal gradients in genetic diversity support an eastern origin for a circum-Mediterranean oak gallwasp Andricus quercustozae. Molecular Ecology. 2003, 12: 2153-2174. 10.1046/j.1365-294X.2003.01894.x.
Stone GN, Challis RJ, Atkinson RJ, Csóka G, Hayward A, Melika G, Mutun S, Preuss S, Rokas A, Sadeghi E, Schönrogge K: The phylogeographical clade trade: tracing the impact of human-mediated dispersal on the colonization of northern Europe by the oak gallwasp Andricus kollari. Molecular Ecology. 2007, 16: 2768-2781. 10.1111/j.1365-294X.2007.03348.x.
Hayward A, Stone GN: Comparative phylogeography across two trophic levels: the oak gall wasp Andricus kollari and its chalcid parasitoid Megastigmus stigmatizans. Molecular Ecology. 2006, 15: 479-489. 10.1111/j.1365-294X.2005.02811.x.
Horn A, Roux-Morabito G, Lieutier F, Kerdelhué C: Phylogeographic structure and past history of the circum-Mediterranean species Tomicus destruens Woll. (Coleoptera: Scolytinae). Molecular Ecology. 2006, 15: 1603-1615. 10.1111/j.1365-294X.2006.02872.x.
Horn A, Stauffer C, Lieutier F, Kerdelhué C: Complex post-glacial history of the bark beetle Tomicus piniperda L. (Coleoptera, Scolytinae). Heredity. 2009, 103: 238-247. 10.1038/hdy.2009.48.
Dynesius M, Jansson R: Evolutionary consequences of changes in species' geographical distributions driven by Milankovitch climate oscillations. Proceedings of the National Academy of Sciences, USA. 2000, 97: 9115-9120. 10.1073/pnas.97.16.9115.
Pinho C, Harris DJ, Ferrand N: Contrasting patterns of population subdivision and historical demography in three western Mediterranean lizard species inferred from mitochondrial DNA variation. Molecular Ecology. 2007, 16: 1191-1205. 10.1111/j.1365-294X.2007.03230.x.
Coope GR: Several million years of stability among insect species because of, or in spite of, Ice Age climatic instability?. Philosophical Transactions of the Royal Society B: Biological Sciences. 2004, 359: 209-214. 10.1098/rstb.2003.1393.
Démolin G: Comportement des adultes de Thaumetopoea pityocampa Schiff. Dispersion spatiale, importance écologique. Annales des Sciences Forestières. 1969, 26: 81-102. 10.1051/forest/19690104.
Salvato P, Simonato M, Zane L, Patarnello T, Masutti L, Battisti A: Do sexual pheromone traps provide biased information of the local gene pool in the pine processionary moth?. Agricultural and Forest Entomology. 2005, 7: 127-132.
Simonato M, Mendel Z, Kerdelhué C, Rousselet J, Magnoux E, Salvato P, Roques A, Battisti A, Zane L: Phylogeography of the pine processionary moth Thaumetopoea wilkinsoni in the Near East. Molecular Ecology. 2007, 16: 2273-2283. 10.1111/j.1365-294X.2007.03302.x.
Salvato P, Battisti A, Concato S, Masutti L, Patarnello T, Zane L: Genetic differentiation in the winter pine processionary moth (Thaumetopoea pityocampa-wilkinsoni complex), inferred by AFLP and mitochondrial DNA markers. Molecular Ecology. 2002, 11: 2435-2444. 10.1046/j.1365-294X.2002.01631.x.
Battisti A, Stastny M, Netherer S, Robinet C, Schopf A, Roques A, Larsson S: Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecological Applications. 2005, 15: 2084-2096. 10.1890/04-1903.
Stone GN, Sunnucks P: Genetic consequences of an invasion through a patchy environment: the cynipid gallwasp Andricus quercuscalicis (Hymenoptera: Cynipidae). Molecular Ecology. 1993, 2 (4): 251-268. 10.1111/j.1365-294X.1993.tb00015.x.
Hurst GD, Jiggins FM: Problems with mitochondrial DNA as a marker in population, phylogeographic and phylogenetic studies: the effects of inherited symbionts. Proceedings of the Royal Society B: Biological Sciences. 2005, 272: 1525-1534. 10.1098/rspb.2005.3056.
Bollback JP: Bayesian model adequacy and choice in phylogenetics. Molecular Biology and Evolution. 2002, 19: 1171-1180.
Dermitzakis DM, Papanicolaou DJ: Paleogeography and geodynamics of the Aegean region during the Neogene. Annales Géologiques des Pays Helléniques. 1981, 30: 245-289.
Krijgsman W, Hilgen FJ, Raffi I, Sierro FJ, Wilson DS: Chronology, causes and progression of the Messinian salinity crisis. Nature. 1999, 400: 652-655. 10.1038/23231.
Recuero E, Iraola A, Rubio X, Machordom A, Garcia-Paris M: Mitochondrial differentiation and biogeography of Hyla meridionalis (Anura: Hylidae): an unusual phylogeographical pattern. Journal of Biogeography. 2007, 34: 1207-1219. 10.1111/j.1365-2699.2007.01688.x.
Modolo L, Salzburger W, Martin RD: Phylogeography of Barbary macaques (Macaca sylvanus) and the origin of the Gibraltar colony. Proceedings of the National Academy of Sciences, USA. 2005, 102: 7392-7397. 10.1073/pnas.0502186102.
Fromhage L, Vences M, Veith M: Testing alternative vicariance scenarios in Western Mediterranean discoglossid frogs. Molecular Phylogenetics and Evolution. 2004, 31: 308-322. 10.1016/j.ympev.2003.07.009.
Cosson JF, Hutterer R, Libois R, Sara M, Taberlet P, Vogel P: Phylogeographical footprints of the Strait of Gibraltar and Quaternary climatic fluctuations in the western Mediterranean: a case study with the greater white-toothed shrew, Crocidura russula (Mammalia: Soricidae). Molecular Ecology. 2005, 14: 1151-1162. 10.1111/j.1365-294X.2005.02476.x.
Huchon H, Démolin G: La bioécologie de la processionnaire du pin. Dispersion potentielle - Dispersion actuelle. Revue Forestière Française. 1970, 22: 220-234.
Kerdelhué C, Magnoux E, Lieutier F, Roques A, Rousselet J: Comparative population genetic study of two oligophagous insects associated with the same hosts. Heredity. 2006, 97: 38-45. 10.1038/sj.hdy.6800836.
Zovi D, Stastny M, Battisti A, Larsson S: Ecological costs on local adaptation of an insect herbivore imposed by host plants and enemies. Ecology. 2008, 89: 1388-1398. 10.1890/07-0883.1.
Burban C, Petit RJ, Carcreff E, Jactel H: Rangewide variation of the maritime pine bast scale Matsucoccus feytaudi Duc. (Homoptera: Matsucoccidae) in relation to the genetic structure of its host. Molecular Ecology. 1999, 8: 1593-1602. 10.1046/j.1365-294x.1999.00739.x.
Stone G, Atkinson R, Rokas A, Csoka G, Nieves-Aldrey J-L: Differential success in northwards range expansion between ecotypes of the marble gallwasp Andricus kollari: a tale of two lifecycles. Molecular Ecology. 2001, 10: 761-778. 10.1046/j.1365-294x.2001.01211.x.
Slatkin M, Hudson RR: Pairwise comparisons of mitochondrial DNA sequences in stable and exponentially growing populations. Genetics. 1991, 129: 555-562.
Korsten M, Ho SY, Davison J, Pähn B, Vulla E, Roht M, Tumanov IL, Kojola I, Andersone-Lilley Z, Ozolins J, et al: Sudden expansion of a single brown bear maternal lineage across northern continental Eurasia after the last ice age: a general demographic model for mammals?. Molecular Ecology. 2009, 18: 1963-1979. 10.1111/j.1365-294X.2009.04163.x.
Ho SYW, Larson G, Edwards CJ, Heupink TH, Lakin KE, Holland PWH, Shapiro B: Correlating Bayesian date estimates with climatic events and domestication using a bovine case study. Biology Letters. 2008, 4: 370-374. 10.1098/rsbl.2008.0073.
Ford MJ: Applications of selective neutrality tests to molecular ecology. Molecular Ecology. 2002, 11: 1245-1262. 10.1046/j.1365-294X.2002.01536.x.
Johnson JA, Dunn PO, Bouzat JL: Effects of recent population bottlenecks on reconstructing the demographic history of prairie-chickens. Molecular Ecology. 2007, 16: 2203-2222. 10.1111/j.1365-294X.2007.03285.x.
Cheddadi R, Vendramin GG, Litt T, François L, Kageyama M, Lorentz S, Laurent J-M, de Beaulieu J-L, Sadori L, Jost A, Lunt D: Imprints of glacial refugia in the modern genetic diversity of Pinus sylvestris. Global Ecology and Biogeography. 2006, 15: 271-282.
Ibrahim KM, Nichols RA, Hewitt GM: Spatial patterns of genetic variation generated by different forms of dispersal during range expansion. Heredity. 1996, 77: 282-291. 10.1038/hdy.1996.142.
Ho SY, Phillips MJ, Cooper A, Drummont AJ: Time dependency of molecular rate estimates and systematic overestimation of recent divergence times. Molecular Biology and Evolution. 2005, 22: 1561-1568. 10.1093/molbev/msi145.
Dubey S, Cosson J-F, Magnanou E, Vohralik V, Benda P, Frynta D, Hutterer R, Vogel V, Vogel P: Mediterranean populations of the lesser white-toothed shrew (Crocidura suaveolens group): an unexpected puzzle of Pleistocene survivors and prehistoric introductions. Molecular Ecology. 2007, 16: 3438-3452. 10.1111/j.1365-294X.2007.03396.x.
Luciano P, Lentini A, Battisti A: First record of Thaumetopoea pityocampa in Sardinia. Proceedings of the Italian Congress of Entomology. 2007, 273-
Vendramin GG, Anzidei M, Madaghiele A, Bucci G: Distribution of genetic diversity in Pinus pinaster Ait. as revealed by chloroplast microsatellites. Theoretical and Applied Genetics. 1998, 97: 456-463. 10.1007/s001220050917.
Patwary MU, Kenchington EL, Bird CJ, Zouros E: The use of random amplified polymorphic DNA markers in genetic studies of the sea scallop Plactopecten magellanicus (Gmellin, 1791). Journal of Shellfish Research. 1994, 13: 547-553.
Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The Clustal_X Windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Research. 1997, 25: 4876-4882. 10.1093/nar/25.24.4876.
Swofford DL: PAUP*. Phylogenetic Analysis Using Parsimony (*and other methods). 2003, Sunderland, Massachussetts: Sinauer Associates, 4
Nylander JAA, Ronquist F, Huelsenbeck JP, Nieves-Aldrey JL: Bayesian phylogenetic analysis of combined data. Systematic Biology. 2004, 53: 47-67. 10.1080/10635150490264699.
Gelman A, Meng XL, Stern H: Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica. 1996, 6: 733-760.
Nylander JAA: MrModeltest v2. Program distributed by the author. 2004, Evolutionary Biology Centre, Uppsala University
Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.
Kass RE, Raftery AE: Bayes factors. Journal of the American Statistical Association. 1995, 90: 773-795. 10.2307/2291091.
Goldman N: Statistical tests of models of DNA substitution. Journal of Molecular Evolution. 1993, 36: 182-198. 10.1007/BF00166252.
Laud PW, Ibrahim JG: Predictive model selection. Journal of the Royal Statistical Society Series B - Methodological. 1995, 57: 247-262.
Drummont AJ, Rambaut A: BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology. 2007, 7: 214-10.1186/1471-2148-7-214.
Villacorta C, Jaume D, Oromí P, Juan C: Under the volcano: phylogeography and evolution of the cave-dwelling Palmorchestia hypogaea (Amphipoda, Crustacea) at La Palma (Canary Islands). BMC Biology. 2008, 6: 7-10.1186/1741-7007-6-7.
Zinner D, Groeneveld LF, Keller C, Roos C: Mitochondrial phylogeography of baboons (Papio spp.) - Indication for introgressive hybridization?. BMC Evolutionary Biology. 2009, 9: 83-10.1186/1471-2148-9-83.
DeSalle R, Freedman T, Prager EM, Wilson AC: Tempo and mode of sequence evolution in mitochondrial DNA of Hawaiian Drosophila. Journal of Molecular Evolution. 1987, 26: 157-164. 10.1007/BF02111289.
Clement M, Posada D, Crandall KA: TCS: a computer program to estimate gene genealogies. Molecular Ecology. 2000, 9: 1657-1659. 10.1046/j.1365-294x.2000.01020.x.
Templeton AR, Crandall KA, Sing CF: A cladistic-analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA-sequence data. III. Cladogram estimation. Genetics. 1992, 132: 619-633.
Rozas J, Sanchez-DelBarrio JC, Messeguer X, Rozas R: DnaSP, DNA polymorphism analysis by the coalescent and other methods. Bioinformatics. 2003, 19: 2496-2497. 10.1093/bioinformatics/btg359.
Rogers AR, Harpending H: Population growth makes waves in the distribution of pairwise genetic differences. Molecular Biology and Evolution. 1992, 9: 552-569.
Excoffier L, Laval G, Schneider S: Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online. 2005, 1: 47-50.
We thank E. Magnoux, H. Santos, E. Petrucco Toffolo and D. Zovi for help with the lab work. J. Garcia, F. Goussard, P. Pineau and P. Menassieu, as well as all the people cited in Additional file 1 are gratefully acknowledged for sampling work. We thank C. Burban for valuable comments on a previous version of the manuscript. The work was supported by URTICLIM, a French project funded by the 'Agence Nationale de la Recherche' (ANR 07BDIV 013), and by EU projects PROMOTH QLK5-CT-2002-00852 and PRATIQUE 7FP-KBBE-212459. The study does not necessarily reflect the Commission's views and in no way anticipates the Commission's future policy.
CK, LZ and MS analyzed the data, AB, JR and AR planned the research, MS and PS performed the research, CK, LZ and AB wrote the paper and revised the manuscript. All authors read and approved the final manuscript.
Carole Kerdelhué, Lorenzo Zane contributed equally to this work.
Electronic supplementary material
Sampling sites, geographic coordinates, host pine, collector and haplotype composition of each locality
Additional file 1: . The number in brackets after each haplotype name is the number of individuals with that haplotype. Codes refer to the localities shown in Figure 3. Codes for hosts are as follows: PB: Pinus brutia; PH: P. halepensis; PM: Pinus mugo/uncinata; PN: Pinus nigra; PP: P. pinaster; PR: Pinus radiata; PS: P. sylvestris; CA: Cedrus atlantica, CD: Cedrus deodara. (PDF 35 KB)
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Kerdelhué, C., Zane, L., Simonato, M. et al. Quaternary history and contemporary patterns in a currently expanding species. BMC Evol Biol 9, 220 (2009). https://doi.org/10.1186/1471-2148-9-220
- Spatial Genetic Structure
- Refugial Area
- Much Recent Common Ancestor
- Moth Population
- Messinian Salinity Crisis