The explosive radiation of Cheirolophus(Asteraceae, Cardueae) in Macaronesia
© Vitales et al.; licensee BioMed Central Ltd. 2014
Received: 28 January 2014
Accepted: 21 May 2014
Published: 2 June 2014
Considered a biodiversity hotspot, the Canary Islands have been the key subjects of numerous evolutionary studies concerning a large variety of organisms. The genus Cheirolophus (Asteraceae) represents one of the largest plant radiations in the Canarian archipelago. In contrast, only a few species occur in the Mediterranean region, the putative ancestral area of the genus. Here, our main aim was to reconstruct the phylogenetic and biogeographic history of Cheirolophus with special focus on explaining the origin of the large Canarian radiation.
We found significant incongruence in phylogenetic relationships between nuclear and plastid markers. Each dataset provided resolution at different levels in Cheirolophus: the nuclear markers resolved the backbone of the phylogeny while the plastid data provided better resolution within the Canarian clade. The origin of Cheirolophus was dated in the Mid-Late Miocene, followed by rapid diversification into the three main Mediterranean lineages and the Macaronesian clade. A decrease in diversification rates was inferred at the end of the Miocene, with a new increase in the Late Pliocene concurrent with the onset of the Mediterranean climate. Diversification within the Macaronesian clade started in the Early-Mid Pleistocene, with unusually high speciation rates giving rise to the extant insular diversity.
Climate-driven diversification likely explains the early evolutionary history of Cheirolophus in the Mediterranean region. It appears that the exceptionally high diversification rate in the Canarian clade was mainly driven by allopatric speciation (including intra- and interisland diversification). Several intrinsic (e.g. breeding system, polyploid origin, seed dispersal syndrome) and extrinsic (e.g. fragmented landscape, isolated habitats, climatic and geological changes) factors probably contributed to the progressive differentiation of populations resulting in numerous microendemisms. Finally, hybridization events and emerging ecological adaptation may have also reinforced the diversification process.
In recent decades, the Macaronesian archipelagos of Azores, Cape Verde, Madeira, Savages and Canary Islands have been the subject of numerous studies concerning patterns of colonization and speciation of different plant lineages [1–4]. In particular, the Canary Islands have drawn special attention from biogeographers because of their high degree of endemism, wide geological age ranges, variety of ecological conditions and unusual short distance to the mainland . This has made the archipelago an ideal natural laboratory to test general hypotheses on island biogeography and evolution [5–9]. Recently, phylogenetic studies in Macaronesian plants have started incorporating information on lineage divergence times [3, 10, 11], a key factor when addressing evolutionary questions on the processes underlying lineage diversification  and their role in community assembly .
With approximately 20 endemic species, the genus Cheirolophus Cass. (1817) (Asteraceae, Cardueae) is considered one of the ten largest plant radiations in the Canary Islands . In fact, ongoing taxonomical investigation points towards the existence of an even larger number of species (A. Santos-Guerra, unpubl. data). With the exception of Ch. teydis (C.Sm.) G.López from La Palma and Tenerife, all species are endemic to one of the central or western islands (Gran Canaria, Tenerife, La Gomera, La Palma and El Hierro). Most species present very narrow geographical ranges, but exhibit notable differences in their ecological preferences and morphological characteristics. Canarian Cheirolophus typically occur as small populations isolated on humid basalt cliffs. However, some species are adapted to live in remarkably different habitats, such as xeric environments (e.g. Ch. junonianus (Svent.) Holub), the subalpine zone (e.g. Ch. teydis) or coastal environments (Ch. webbianus (Sch.Bip.) Holub) . This ecological diversity, coupled with a large species richness distributed in a clearly geographical pattern, makes Cheirolophus an ideal group to explore patterns and processes behind island diversification.
Earlier attempts to address phylogenetic relationships among Cheirolophus species or between the genus and its closest relatives have been based on allozymes  or DNA sequences from the nuclear ribosomal ITS and ETS regions [21, 22]. These studies supported the existence of two well-defined major lineages: a Macaronesian clade, including all Macaronesian endemics, and a Mediterranean clade, grouping the North African Ch. benoistii (Humbert) Holub and Ch. tananicus (Maire) Holub with the Ch. intybaceus complex, distributed along the eastern shores of the Iberian Peninsula and southern France . In contrast, lack of phylogenetic resolution within the Macaronesian clade - probably due to a recent history of colonization and diversification - prevented an in-depth study of phylogenetic relationships among the Macaronesian endemics . More recently, a tribal phylogenetic reconstruction based on both nuclear and chloroplast markers  placed Cheirolophus in a basally branching position within the subtribe Centaureinae, as sister-group to the Myopordon-Rhaponticum lineage. Using new fossil evidence for Asteraceae, these authors estimated the divergence of Cheirolophus from its sister genera around the Early Miocene .
Here, we used nuclear and chloroplast DNA sequence data and the most comprehensive sampling of the genus conducted so far - including the entire species and infraspecific diversity registered in the International Plant Name Index - in conjunction with Bayesian phylogenetic analysis, divergence time estimation, macroevolutionary modelling, and biogeographical reconstruction to: (1) disentangle phylogenetic relationships within Cheirolophus, with special focus on the Canarian radiation, (2) infer the tempo and mode of lineage diversification within the genus, and (3) reconstruct the origin and colonization events in Canarian Cheirolophus in order to understand the factors underlying its large species richness.
Taxon sampling and DNA sequencing
DNA sequences were obtained from 57 populations representing 32 different taxa of Cheirolophus (Additional file 1: Table S1). Serratula coronata L., Rhaponticoides hajastana (Tzvelev) M.V.Agab. & Greuter, and Rhaponticum pulchrum Fisch. & C.A.Meyer were chosen as outgroup taxa based on previous phylogenetic studies of tribe Cardueae [20, 22, 23]. Total genomic DNA was extracted from silica gel-dried leaves and from herbarium specimens (ca. 10 mg) following the CTAB-protocol of Doyle and Doyle  with the modifications of Soltis et al.  and Cullins . Nuclear rDNA regions (ITS and ETS) were newly sequenced for 11 taxa of Cheirolophus (eight species, three infraspecific taxa). This represents a 64% increase in the number of Cheirolophus species sequenced compared to previous studies . For chloroplast DNA markers, a preliminary screening test involving 14 rapidly evolving cpDNA regions  was conducted (ndhF-rpl32; prbA-trnH; psbD-trnT; psbE-petT; rpl32-trnL; rps16-trnK; trnD-rpoB; trnK-matK; trnL-trnF; trnQ-5′rps16; trnS-trnC; trnS-trnfM; trnT-trnG; and trnV-ndhC). The regions that yielded the highest level of polymorphism were selected for further sequencing (rpl32-trnL, rpoB-trnD, rps16-trnK and trnS-trnC). All cpDNA sequences were newly generated for this study. In addition, we conducted a pilot study for the Macaronesian taxa to evaluate the within-population level of genetic diversity in the cpDNA markers. We analysed three individuals per population (when available), ensuring that these represented the entire area occupied by the population. Macaronesian populations showed no genetic variability for any of the plastid markers, so only one individual per population was included in further analyses.
DNA amplification procedures were performed as outlined by Pellicer et al. . Details on primers used and polymerase chain reaction (PCR) conditions are given in the Additional file 2: Table S2. Depending on the quality of the amplification, products were purified using the QIAquick PCR Purification Kit (Qiagen Inc., Valencia, CA, USA) or DNA Clean and Concentrator™-5 D4004 (Zymo Research, Orange, CA, USA) following the manufacturer’s protocol. Direct cycle sequencing of the purified DNA segments was performed using the BigDye Terminator Cycle Sequencing v3.1 (PE Biosystems, Foster City, CA, USA) following the protocol recommended by the manufacturer. Nucleotide sequencing was carried out at the Centres Científics i Tecnològics of the University of Barcelona on an ABI PRISM 3700 DNA analyzer (PE Biosystems, Foster City, CA, USA). Details on species authorities, geographical localities for samples, and GenBank accession numbers are given in the Additional file 1: Table S1 of the supporting information.
Sequences were edited with Chromas LITE v2.01 (Technelysium Pty, Tewantin, Australia), and aligned manually with BioEdit version 188.8.131.52 .
Bayesian inference, implemented in MrBayes 3.2 , was used to estimate phylogenetic relationships among species of Cheirolophus based on individual analyses of the concatenate ITS + ETS (nrDNA) dataset and the concatenate four-plastid marker (cpDNA) dataset (each with 60 sequences: 57 Cheirolophus samples plus three outgroup taxa). Before concatenating the different plastid and nuclear regions, we checked for conflict among them. Incongruence was assessed (i) with the ILD test implemented in PAUP v. 4.0b10 , using a P-value of 0.01, and 1000 replications with heuristic search and random addition of sequences and excluding uninformative characters and (ii) by looking for nodes that were strongly supported (PP ≥ 0.95) in the Bayesian 50% majority rule consensus tree of one region/dataset but were not present in the consensus tree of the other region/dataset. No incongruence was observed among the cpDNA regions and between the two nuclear (ITS/ETS) markers, so they were concatenated in two independent datasets (cpDNA and nrDNA), which were analyzed separately. The General Time Reversible model (GTR) was selected as the most appropriate nucleotide substitution model for the cpDNA dataset, and the same model with among-site rate variation (GTR + G) for the nrDNA dataset based on the Akaike information criterion implemented in jModelTest 0.1 . We did not partition the plastid and nuclear datasets by gene region in the Bayesian analyses because of the observed low genetic variation among sequences and to avoid over-parameterization. Gaps inferred during the alignment of the nrDNA and cpDNA regions were manually coded and modelled as different, binary partitions, using the F81-like restriction site model in MrBayes . Two independent Markov chain Monte Carlo (MCMC) analyses with four Metropolis-coupled chains each were run for 5,000,000, sampling every 100 generation. The first 5,000 trees were discarded as the ‘burn-in’ period, after confirming that the average standard deviation of the split frequencies was < 0.01, and the potential scale reduction factor approached 1.0 for all parameters. The remaining samples were pooled to construct a majority rule consensus tree that approximates the posterior distribution of the phylogeny – visualized in FigTree 1.3.1  – and to obtain clade posterior probabilities.
Both the ILD test and the node-comparison approach revealed the existence of significant incongruence between the cpDNA and nrDNA genomes, so we decided not to concatenate these two datasets in further analyses. The cpDNA tree was in general less resolved than the nrDNA tree and most cases of incongruence concerned poorly resolved relationships at the backbone of the tree, which may be explained by the low information content (variability) at the phylogenetic species level in this dataset in comparison with nuclear markers (see Additional file 3: Table S3). One exception was the incongruent position of the Madeiran endemic Ch. massonianus, which showed high support and significantly distant phylogenetic positions in both the cpDNA and nrDNA datasets (see Results below). Incongruence among gene trees can be attributed to different causes, being incomplete lineage sorting (ILS) and hybridization the most commonly reported in plant groups experiencing rapid radiations (e.g. [35–37]). To explore whether the incongruent position of Ch. massonianus could be the result of either reticulate evolution or ILS, we conducted an additional analysis under *BEAST . This multilocus coalescent method is known to address ILS phenomena, whereas it is not able to resolve incongruence derived from hybridization. *BEAST uses a multispecies coalescent approach to estimate the most probable species tree given the unlinked multi-locus sequence data (i.e., the nrDNA and cpDNA datasets) and assumes no gene flow between after population/species divergence . We constructed two partitioned, concatenate nuclear-plastid dataset: the first one including all Cheirolophus species and a second one excluding the taxon suspected of causing the major incongruence among gene trees (i.e. Ch. massonianus). Theoretically, a hybrid taxon included into a multi-locus phylogeny introduces homoplasy with clades that contain the hybrid parents, because hybrid taxa are supposed to be overall intermediate to the parental taxa since they contain a mosaic of parental characters . Therefore, the removal of the hybrid taxon should increase the branch support for the clades that include the parental taxa –or their most closely related species– by decreasing the amount of homoplasy in the dataset . For both analyses, the same model priors employed for the MrBayes phylogenetic analysis and the BEAST divergence time analysis (see below) were selected. The Markov chain was run for 5 × 107 generations, sampling every 1000th generation. Tracer 1.4  was used to check the convergence of the analyses and to confirm that the effective sample size (ESS) of each parameter are sufficiently large. Trees were summarized in a maximum clade credibility (MCC) tree obtained in TreeAnnotator 1.6.2  and visualized in FigTree .
Divergence time estimation and diversification analysis
We estimated species divergence times in Cheirolophus using a Bayesian-relaxed clock approach implemented in BEAST 1.7.1 . The analysis was carried out only on the nrDNA dataset because of lack of variability and poor resolution in the cpDNA dataset at the species phylogenetic level (see above). Choice of model priors was based on the Path Sampling (PS) and Stepping Stone (SS) sampling methods in BEAST, which have been shown to outperform other marginal likelihood estimators in terms of consistency . The birth-death model  was selected as the tree prior and the uncorrelated lognormal rate variation among branches as the clock prior, with a broad uniform distribution (10−1-10−6) for the mean rate and a default exponential prior for the standard deviation parameter. Speciation birth-death models can be problematic when multiple individuals per taxon/species are included in an analysis, since they assume that tips represent extant species completely sampled from the clade of interest . Consequently, for the dating analysis, we included only one individual/sample per taxon (including subspecies), resulting in a 35-sequence data matrix. The GTR + G model was used as substitution model with a separate gap partition. The Markov chain was run for 5 × 107 generations, sampling every 1000th generation. Tracer 1.4  was used first to check the convergence and mixing of each parameter, and then to confirm that the effective sample size (ESS) of each parameter was sufficient to provide reasonable estimates of the variance in model parameters (i.e. ESS values > 200, after excluding a burn-in fraction of 10%). Trees were summarized in a maximum clade credibility (MCC) tree obtained in TreeAnnotator 1.6.2  and visualized in FigTree . Since there is no known fossil record of Cheirolophus, estimation of absolute lineage divergence times relied on secondary age constraints obtained from the molecular dated phylogeny of Barres et al. . This study was based on five different fossil calibration points, including newly discovered fossils of Asteraceae , and constitutes the most complete dating analysis of tribe Cardueae to date. Barres et al. ’s estimate for the most recent common ancestor of Serratula, Rhaponticum, Rhaponticoides, and Cheirolophus was used to calibrate the root node in our phylogeny. To reflect the uncertainty in deriving age estimates from a more inclusive dated phylogeny, itself calibrated with the fossil record, we used a normal distribution prior  for the root node age parameter, with a median of 24.51 Ma and a standard deviation (SD) of 2.7 Ma to span the entire confidence interval (95% high probability density (HPD): 20.17–29.62 Ma) obtained by Barres et al. .
We used a diverse array of diversification statistics implemented in the programming language R (http://www.r-project.org, R Development Core Team 2012) to analyse the tempo and mode of species diversification in genus Cheirolophus. The package APE 2.7-3  was used to construct a lineage-through-time (LTT) plot from the nrDNA BEAST chronogram, after pruning the outgroup taxa. We used the gamma statistic  implemented in the R package GEIGER  to test whether rates of diversification have been constant through time; since taxon sampling is complete in Cheirolophus, there was no need to use the MCCR test to correct this statistic . The R package TreePar v.2.1  was used to detect temporal changes in diversification rates. In particular, we make use of episodic birth-death models in which diversification rates are allowed to change at certain points in time (rate-shifts). Maximum likelihood optimization was used to simultaneously estimate diversification parameters – the net diversification rate (r = speciation minus extinction) and the extinction fraction (ϵ = the extinction to speciation ratio) – for each time interval together with the rate-shift times . We used likelihood ratio tests (LRT) to compare nested models of increasing complexity with one, two, three, or four rate shifts (an arbitrary high value based on the size of our phylogeny), using a grid on shift times of 0.2 Myr steps.
TreePar can detect temporal changes in diversification rates, but does not allow the rate of diversification to vary among lineages. Instead, we used MEDUSA  implemented in GEIGER to locate the position of these rate shifts on the phylogeny. MEDUSA uses an AIC-based stepwise approach that compares the likelihood of piecewise models, in which r and ϵ are estimated at various points in the phylogeny. We also used the method-of-moments estimator , implemented in GEIGER, to estimate the rate of diversification in Canarian Cheirolophus under two extreme values of the extinction fraction (ϵ = 0, no extinction, and ϵ = 0.9 high rate of extinction). This method does not require a resolved time-calibrated phylogeny, and can thus be used to direct estimation of speciation rates in groups that underwent diversification recently. In order to obtain reliable confidence limits, we used the 95% HPD interval for the age of the crown node of the Canarian clade based on the BEAST analysis of the nrDNA dataset. Additionally, we estimated the probability of obtaining a clade with the same size and age as the Canarian clade given the global diversification rate inferred for the entire genus and at increasing extinction fractions (ϵ = 0, 0.5, 0.8, 0.9).
To infer the phylogeographical history of Canarian Cheirolophus, we constructed two additional datasets based on the original nrDNA and cpDNA matrices but subsampling only the Canarian taxa; in all 32 populations from 20 species were included in these further datasets. Two separate haplotype networks were constructed from each dataset to visually explore genetic diversity within each species using the software TCS v.1.21 ; insertions/deletions longer than one base pair were re-coded as single base pair mutations and these indels were treated as a fifth character state. The origin and timing of dispersal events in the colonization of the archipelago were inferred –independently for the nrDNA and for the cpDNA datasets – with the discrete-state continuous-time Markov chain (CTMC) model  implemented in BEAST 1.6.2 . This composite CTMC phylogenetic-biogeographic model allows simultaneous estimation of phylogenetic relationships, lineage divergence times, ancestral ranges, and migration rates between geographic locations using Bayesian MCMC inference  and is similar to the Bayesian island biogeographic model described in Sanmartín et al. . We used five geographical states corresponding to the islands where Cheirolophus is present: Gran Canaria, Tenerife, Gomera, La Palma, and El Hierro. Migration rates were modelled under both uninformative (mean = 1; SD = 0) and geographically informed priors, i.e., SD = 0 and mean equal to the normalized inverse distance between the centroids of two geographic locations . To calibrate the phylogeographic analysis of Canarian populations based on cpDNA data, we carried out a new BEAST analysis using a dataset of 35 cpDNA sequences including one representative each of all Cheirolophus species, with identical settings as the BEAST nrDNA analysis above, except that substitution rates were modelled with GTR. The age of the crown-node of Canarian Cheirolophus estimated in this analysis was used to calibrate the root node height in the phylogeographic analysis of the 32-populations Canarian dataset (log normal distribution, mean = 1.22 Ma, SD = 0.4). The root node of the phylogeographic analysis based on the ITS + ETS data was calibrated with the age of crown Canarian Cheirolophus obtained in the BEAST analysis of the nrDNA 35-taxa dataset (log normal distribution, mean = 1.73 Ma, SD = 0.4). These phylogeographic analyses were run under a constant-size coalescent model and the uncorrelated lognormal molecular clock, based on the PS and SS selection, for 20 × 106 generations, with all other settings identical to those used in the dating analyses. Finally, Bayesian Stochastic Search Variable Selection (BSSVS) was used to identify those rates (colonization routes) that were frequently invoked to explain the diffusion process ; these were saved as a KML file for visualization in Google Earth 184.108.40.20613. Given the small size of the phylogeny, we used a threshold value of Bayes Factors (BF) > 2 to consider a rate as well supported in the BSSVS analysis.
Phylogenetic relationships and congruence among cpDNA loci
The main characteristics for all markers analysed are summarized in the Additional file 3: Table S3. The nrDNA dataset (ITS + ETS) for the ingroup taxa included 1138 aligned nucleotide positions, of which 140 (12.3%) were variable. The cpDNA dataset (trnS-trnC + rpl32-trnL + trnD-rpoB + rps16-trnK) included 3764 aligned positions, 58 (1.54%) of them variable. A total of 330 new sequences were generated and deposited in GenBank, of which 90 were from ITS + ETS and 240 from cpDNA markers (see Additional file 1: Table S1).
Divergence time estimation and diversification analyses
The LTT plot of the nrDNA chronogram showed an initial short phase of diversification (10–8 Ma) followed by a plateau between 8 and 3 Ma, with a final pronounced upturn in the rate of diversification c. 2 Ma (Figure 3, inset). This increase in diversification rates is supported by the gamma test, which rejects a constant-rate diversification model (5.730, p > 0.999). Although this test was designed to detect decreases in diversification rates compared to the constant-rate model , high positive values are usually interpreted as indicating an increase in the rate of speciation . On the other hand, TreePar detected a decrease in diversification rates at 7.8 Ma, and an increase at 3.2 Ma for the model allowing two shifts (Figure 3). None of these rate shifts were, however, significant (LRT, p > 0.1), probably due to lack of statistical power when the phylogeny is small (n < 50 taxa). MEDUSA indicated a significant increase in diversification rates along the branch leading to a Canarian subclade (r1 = 0.00022; r2 = 6.55, c. 0.44 Ma, Figure 3). The method-of-moments estimator indicated significantly higher diversification rates in the Canarian clade than expected, given their age and the global diversification rate for the entire genus (rG = 0.2673; p < 0.05). This held under varying levels of the extinction fraction (ϵ = 0, 0.5, 0.8), except for a very high relative extinction rate of ϵ = 0.9 (p < 0.1), which is otherwise unrealistic for such a young group as estimated here for the Canarian clade. Diversification rates varied between r = 2.84–0.78 species Myr−1 for ϵ = 0) and 1.25–0.34 species Myr−1 for ϵ = 0.9.
Phylogeography of Canarian Cheirolophus
Hybridization and incongruence among plastid and nuclear genomes
The conflicting relationships found here between the nuclear and plastid phylogenies might be attributed to different coalescence-based and biological phenomena, including ILS, duplication/gene loss, chloroplast capture (introgression), polyploidy and hybridization. The nuclear ribosomal region (ITS + ETS) is by far the most widely used marker in plant systematics, and has been the preferred marker to disentangle phylogenetic relationships in Asteraceae (e.g., ), but phenomena like potentially non-functional pseudogene copy types and incomplete concerted evolution across the large multicopy tandem arrays in which the nrDNA is arranged, are known to cause problems in phylogenetic reconstruction, especially among closely related species [57, 58]. Although this could be the case here, there is some evidence suggesting that the incongruence between nuclear and plastid genomes is more related to differences in genetic variability than to ILS in the nrDNA markers. On the one hand, we found no evidence of double bands in the PCR amplification, while polymorphic sites (double peaks in the electrophoretogram in which the weakest signal reached 25% of the strength of the strongest signal) represented less than 1% of sites in the ITS/ETS DNA sequences (these sites were not included in the phylogenetic and phylogeographic analysis). On the other, the topology and grouping of taxa in the nrDNA tree agrees well with the current species circumscription, reflecting geographical and morphological affinities, whereas some conspecific sequences fell into different clades in the cpDNA tree. Moreover, the nrDNA dataset contained at least ten-fold more variable sites than the full cpDNA dataset (see Additional file 3: Table S3), suggesting that the little variability in the latter (<2.0%) and associated homoplasy might be responsible for the artifactual positions of some species and lack of resolution at the base of the tree. Conversely, because of the their haploid nature, chloroplast markers generally require less time to fix novel mutations and present shorter coalescence times and higher polymorphism at lower taxonomical or population levels than nuclear ribosomal markers, despite their generally slower substitution rate . Thus, they have been the marker of choice in species-diagnostic and phylogeographical studies on islands, outperforming the nuclear markers [60, 61]. In our study, the cpDNA tree showed considerably higher levels of variability and phylogenetic resolution within the Canarian clade than the ITS + ETS tree, recovering several well-supported clades.
Finally, there is some evidence that at least part of the incongruence observed here can be caused by hybridization. Interspecific hybridization within groups that have recently radiated has been reported in many Macaronesian taxa [1, 60, 62, 63] and might be behind the incongruent position of the Madeiran endemic Ch. massonianus in the nrDNA and cpDNA trees. This is supported by the position of this species in the multispecies coalescent analysis (*BEAST) intermediate between those occupied in the individual gene trees, and by the increased branch support for those clades including the putative parental taxa when this species was removed (Additional file 4: Figure S1), which are two evidences usually associated to horizontal gene transfer or hybridization (e.g. [39, 40]). In addition, a genome size survey  revealed that the nuclear DNA content in the Cheirolophus massonianus (2C = 1.44 pg) was intermediate between those found in continental (mean 2C = 1.58 pg) and Canarian species (mean 2C = 1.38 pg). One potential explanation is hybridization or chloroplast capture (introgression) between a Canarian ancestor and the Atlantic Iberian endemic Ch. uliginosus, which occupies a basal position in the cpDNA tree together with Ch. massonianus. A close evolutionary relationship between species from Madeira and the western Iberian Peninsula has been documented in other studies , and is supported by the finding that submerged seamounts between Madeira and the continent might have acted as stepping stones during the Pleistocene glaciations . Besides, preliminary amplified fragment length polymorphism (AFLP) analyses (Vitales et al., submitted) cluster Ch. massonianus within other Canarian Cheirolophus species, supporting the relationship depicted by the nrDNA tree.
Hybridization and introgression might also explain the polyphyletic nature of several Canarian species in the cpDNA tree (Figures 2 and 5). The only accession of Ch. teydis from La Palma exhibits haplotype A, which is very different from haplotype O of Ch. teydis populations occurring in Tenerife, but it is widely distributed over neighbouring populations of Ch. arboreus. Besides, the population of Ch. arboreus from north-western La Palma (Barranco Briestas) presents haplotype B, characteristic of other species from the island (Figure 4B); this latter population also exhibits slight morphological differences with respect to conspecific populations in the same island . Furthermore, both Ch. teydis form La Palma and Ch. arboreus from Barranco Briestas show considerable levels of genetic admixture according to a preliminary AFLP analyses (Vitales et al., submitted), supporting the hypothesis of ongoing gene flow. In Tenerife, discordant accessions of Ch. canariensis or Ch. webbianus presented haplotypes found in other geographically close species (Ch. burchardii and Ch. anagaensis, respectively) (Figure 4B). However, the relatively low sample size at the population level does not provide enough information to discern whether these latter cases of haplotype sharing are due to retention of ancestral polymorphism or actual gene flow among species, especially given the young age of the Canarian radiation (Figure 3). For example, the occurrence of haplotype A, ancestral according to its central position in the parsimony network (Figure 4), in accessions of three of the species recovered as polyphyletic (Ch. teydis, Ch. canariensis, and Ch. webbianus), might be explained by retention of ancestral polymorphisms due to insufficient time for coalescence. Further population-level studies are needed with intra-population sampling to discriminate among these explanations.
Early evolutionary history of Cheirolophus
Given the different level of genetic variation and potential hybridization between markers mentioned above, the evolution of the genus is based here on the nrDNA tree, whereas the divergence and biogeographic history of the Canarian clade is discussed based mainly on evidence from the cpDNA population-level analysis, albeit considering the potential of hybridization.
In reconstructing the biogeographic history of tribe Cardueae, Barres et al.  placed the origin of the derived subtribe Centaureinae in West Asia, followed by repeated dispersal events across the Mediterranean region during the Miocene that gave rise to most extant genera. Our nrDNA phylogeny supports this scenario and dates the first diversification event in Cheirolophus during the Mid-Late Miocene (Figure 3). At that time, the Mediterranean Basin still featured tropical climate characteristics, but a progressive aridification starting in the east around 11–9 Ma  might have pushed Cheirolophus westward, explaining its current Western Mediterranean distribution. The basal position within the genus of Ch. crassifolius, endemic to Malta in the Central Mediterranean, agrees well with this hypothesis of an early east-to-west migration.
By the late Miocene, three additional extant lineages in the genus had diverged (Figure 3): the Western Mediterranean and Macaronesian clades, and the lineage formed by the single species Ch. uliginosus, a rare herbaceous member of the genus. This initial period of diversification was followed by a transition period of 5 Myr characterized by no apparent diversification ending in a sharp increase in the rate of diversification (Figure 3). Either a period of stasis followed by a recent radiation or a scenario of high extinction rates – constant or punctual – removing the early lineages, might explain the phylogenetic pattern found here (Figure 3; ). Although these two scenarios are difficult to distinguish on the basis of extant data alone , several lines of evidence support the high extinction hypothesis. TreePar detected a decrease in diversification rates at 7.8 Ma (Figure 3), and MEDUSA estimated high relative extinction rates in Cheirolophus, prior to the rate shift within the Canarian radiation (Figure 3). This slowdown in diversification could be explained by the effects of extinction associated with the extreme drought trend that culminated with the Messinian salinity crisis , which led to the replacement across the Mediterranean Basin of an ancestral “tropical-like” flora by new sclerophyllous plant communities . Extant Cheirolophus lineages might have survived this hostile environment by migrating westwards, as exemplified by the Macaronesian clade or its putative sister-group, Ch. uliginosus, endemic to the humid Atlantic coast of the Iberian Peninsula. Others seem have developed ecological adaptations to drought environments, i.e. severe leaf reduction is observed in Ch. benoistii from the western Mediterranean clade and succulent leaves are present in Ch. crassifolius from Malta. A new increase in diversification rates was detected by TreePar at c. 3 Ma (Figure 3), coincident with the establishment of the Mediterranean-type climate around 3.5 Ma . Although the start of diversification within the Mediterranean clade preceded that of the Macaronesian radiation (Figure 3), estimated divergence times for cladogenetic events leading to main subclades or species complexes were surprisingly synchronous. This synchronicity might be explained by the effect of Pleistocene climate oscillations , which played an important role in driving plant diversification in the Mediterranean region . A similar pattern of diversification as the one described here, with a slowdown in diversification around 8–7 Ma and a subsequent increase at 3 Ma, has been observed in other Mediterranean plant taxa , supporting the hypothesis that Miocene climate changes governed the diversification of these lineages.
Colonization and rapid diversification in the Canary Islands
A single colonization event to the Canary Islands was supported by both the nrDNA and cpDNA trees, in agreement with previous studies based on ITS alone and/or a more restricted sampling [21, 22]. Following this initial colonization, Cheirolophus seems to have diversified rapidly: with c. 20 species arising in less than 1.8 million years (Figure 3). The high rate of diversification estimated for Macaronesian Cheirolophus (0.34–2.84 species Myr−1) is comparable to those exhibited by other island radiations. For example, Hawaiian Bidens (0.3–2.3 species Myr−1) and Macaronesian Echium (0.4–1.5 species Myr−1) were considered as the fastest plant radiations on volcanic islands to date . Taking into account the area covered by both the Canary Islands and Madeira (8,321 km2), Macaronesian Cheirolophus may well represent the highest per-unit-area rate of diversification (4.09 × 10−5 to 3.41 × 10−4 species Myr−1 km−2) observed so far in plants [69–71]. One note of caution, however, must be added here concerning the use of species macroevolutionary models to estimate diversification rates; these models assume complete divergence between taxa [48, 50, 52, 72], whereas in recently diverged groups such as Cheirolophus (see also the cases of Lupinus in the Andes  or Tetramolopium in Hawaiian Islands [73, 74]) there might not have been enough time for complete sorting of alleles into the diverging lineages. Nevertheless, preliminary AFLP results indicate that all the described Macaronesian species form significantly distinct genotypic clusters (Vitales et al., submitted), thus supporting their taxonomic boundaries.
Which were the mechanisms underlying such rapid diversification? Geographical isolation and allopatric speciation undoubtedly played a significant role. A complex pattern of inter-island colonization events to the east and west was recovered in our phylogeographical analysis, which highlighted Tenerife as the main source area (Figure 5). This agrees with other Canarian studies (e.g., [7, 10, 60, 75]), showing the central island as a major hub for colonization events. Indeed, Tenerife harbours the highest genetic diversity for Cheirolophus in the archipelago (Figure 4), a fact observed also in other Canarian genera such as Bystropogon, Sideritis or Aeonium. This higher diversity has traditionally been attributed to its ancient and complex palaeogeographic history. Tenerife is composed of three “palaeo-islands”, Anaga, Teno, and Roque del Conde, dating back between 4 and 12 Ma , which might have acted as a reservoir of relict biodiversity . Most species of Cheirolophus in Tenerife are endemic to Teno (Ch. canariensis, Ch. burchardii) or Anaga (Ch. anagaensis, Ch. tagananensis (Svent.) Holub, Ch. cf. sp. nova), although their divergence largely postdates the origin of these ancient massifs. Another explanation is that habitat range fragmentation due to more recent events, such as the collapse of terrains during the last volcanic cycles (1.1–0.17 Ma, ) or the climatic fluctuations of the Pleistocene , might have contributed to the genetic isolation of populations (Figure 4). Finally, the patterns described here are constrained by the present distribution of the species and it is possible that they were different in the past. Intense volcanic activity and extinction might explain the currently low genetic diversity in older islands like Gran Canaria or the absence of Cheirolophus from the eastern islands of Fuerteventura and Lanzarote, which are closer to the mainland and are now too dry for Cheirolophus to grow.
Explosive intra-island diversification seems to have also occurred in La Palma, where most species originated after a colonization event from Tenerife less than 0.5 Ma (Figure 5). Limited seed dispersal and the rugged nature of the Canarian landscape have probably promoted rapid allopatric speciation events within the islands. Reduced dispersal potential in island organisms is known to be favoured by selection, as dispersal off the island is likely to result in the loss of the organism and/or propagules in the surrounding ocean [80, 81]. Unlike most Centaureinae genera , the achenes in Cheirolophus can only be dispersed short distances by gravity (i.e. barochory). In addition, the sharp ravines and rocky cliffs which species of Cheirolophus inhabit provide deeply fragmented habitats that might have contributed to genetic isolation among populations, and subsequent allopatric speciation.
Nevertheless, several long distance dispersal (LDD) events (e.g. inter-island colonisations) occurred despite the apparently low ability of propagules to be transported. The ease of Cheirolophus for LDD is supported not only by the distribution of different species in five of the seven Canary Islands, but also by our haplotype network (Figure 4A) and phylogeographic reconstruction based on the plastid data (Figure 5), showing a double colonization of La Gomera (Ch. ghomerythus (Svent.) Holub - Ch. dariasii (Svent.) Bramwell and Ch. satarataensis (Svent.) Holub) and La Palma (endemic species and Ch. teydis). These double colonization events are also suggested by the less informative nrDNA haplotype network (Figure 4B). Given that stochasticity and non-standard transport mechanisms govern LDD in plants, drastic deviations from the usual dispersal distances do sporadically occur . Indeed, evidence of transoceanic LDD has already been found for the Mediterranean Ch. intybaceus, suggesting that this phenomenon could be recurrent in the genus. Self-compatibility potential in Cheirolophus may also have favoured the success of these colonization events, as dispersal of one single seed to a new habitat could establish a sexually reproducing population . Finally, the basic chromosome number in Cheirolophus is x = 15, implying that the genus is originally polyploid [86, 87]. This palaeopolyploidy could result in single fruits carrying higher genetic diversity – due to duplications – than what is expected in a diploid species, thus ameliorating the problem of severe genetic bottlenecks in the founding populations.
Although neutral genetic divergence as a result of restricted gene flow among isolated populations is probably the main force driving evolutionary diversification in Macaronesian Cheirolophus, ecological adaptation might be another mechanism responsible for this exceptionally rapid radiation. Even though it is not as spectacular as the case of the Macaronesian Argyranthemum or the Hawaiian silversword alliance , some fine examples of intra-island ecological segregation can be found in Cheirolophus. For example, species such as Ch. junonianus from La Palma and Ch. falcisectus Svent. ex Montelongo & Moraleda from Gran Canaria, inhabiting xeric habitats, show clear leaf surface reduction, whereas their sister taxa (i.e. Ch. arboreus and Ch. arbutifolius (Svent.) G.Kunkel) occupying more humid locations in the same islands, display an arborescent habit and a larger leaf surface. Another example of ecological differentiation could be represented by Ch. teydis, the only Cheirolophus species inhabiting the subalpine zone (1800–2200 m) and showing morphological adaptations to tougher ecological conditions (i.e. rosette-like disposed leaves with reduced laminas; waxy leaf cover; high number of smaller flowers; annual flowering shoots). Given the short time since the start of the Canarian radiation (Figure 5), we are probably witnessing the initial stages of a process of phenotype-environment driven differentiation, although to demonstrate ecological differentiation and adaptive radiation more stringent tests than simple correlations are needed (see ).
In the present study, we sequenced two nrDNA and four cpDNA regions from 57 populations representing the entire specific diversity in Cheirolophus. Significant incongruence was found in phylogenetic relationships between nuclear and plastid markers. The origin of Cheirolophus diversification was dated in the Mid-Late Miocene, followed by a slowdown in speciation rates at the end of the Miocene (Messinian) and a new increase in the Late Pliocene concurrent with the onset of the Mediterranean climate. Diversification within the Macaronesian clade started in the Early-Mid Pleistocene, with unusually high speciation rates (0.34–2.84 species Myr−1) giving rise to one of the most remarkable examples of explosive plant radiation in oceanic islands so far reported. This exceptionally high diversification rate was probably driven by allopatric speciation (both intra and inter-island diversification), favoured by several intrinsic (e.g. breeding system, polyploid origin, seed dispersal syndrome) and extrinsic factors (e.g. fragmented landscape, isolated habitats, climatic and geological changes) that contributed to the progressive differentiation of populations and resulted in numerous microendemisms. Finally, inter-specific genetic contact via hybridization and chloroplast capture events (see above) and emergent ecological adaptation could be other mechanisms reinforcing the diversification process in Macaronesian Cheirolophus.
The data sets supporting the results of this article are available in the TreeBase repository, ID 15742 and http://purl.org/phylo/treebase/phylows/study/TB2:S15742.
This work was subsidized by the Spanish Ministry of Science (projects CGL2010-22234-C02-01 and 02/BOS) and the Generalitat de Catalunya (Ajuts a grups de recerca consolidats, 2009/SGR/00439). IS has been supported by project grant CGL-2012-40129-C02-01. DV benefited from a FPU grant from the Spanish Ministry of Education. J.P. benefited from a Beatriu de Pinós postdoctoral fellowship with the support of the Secretary for Universities and Research of the Ministry of Economy and Knowledge (Government of Catalonia) and the co-fund of Marie Curie Actions (European Union 7th R&D Framework Programme). All the collectors, botanical gardens and herbaria are acknowledged for their contribution to supplying material. We also thank Miquel Veny for technical support and Samuel Pyke for linguistic assistance.
- Mort ME, Soltis DE, Soltis PS, Francisco-Ortega J, Santos-Guerra A: Phylogenetics and evolution of the Macaronesian clade of Crassulaceae inferred from nuclear and chloroplast sequence data. Syst Bot. 2002, 27: 271-288.Google Scholar
- Carine MA, Russell SJ, Santos-Guerra A, Francisco-Ortega J: Relationships of the Macaronesian and Mediterranean Floras: molecular evidence for multiple colonizations into Macaronesia and back-colonization of the continent in Convolvulus (Convolvulaceae). Am J Bot. 2004, 91: 1070-1085. 10.3732/ajb.91.7.1070.PubMedView ArticleGoogle Scholar
- Kim S-C, McGowen MR, Lubinsky P, Barber JC, Mort ME, Santos-Guerra A: Timing and tempo of early and successive adaptive radiations in Macaronesia. PLoS One. 2008, 3: e2139-10.1371/journal.pone.0002139.PubMedPubMed CentralView ArticleGoogle Scholar
- García-Maroto F, Mañas-Fernández A, Garrido-Cárdenas JA, Alonso DL, Guil-Guerrero JL, Guzmán B, Vargas P: Delta 6-desaturase sequence evidence for explosive Pliocene radiations within the adaptive radiation of Macaronesian Echium (Boraginaceae). Mol Phylogenet Evol. 2009, 52: 563-574. 10.1016/j.ympev.2009.04.009.PubMedView ArticleGoogle Scholar
- Juan I, Emerson B, Orom I, Hewitt G: Colonization and diversification: towards a phylogeographic synthesis for the Canary Islands. Trends Ecol Evol. 2000, 15: 104-109. 10.1016/S0169-5347(99)01776-0.PubMedView ArticleGoogle Scholar
- Fernández-Palacios JM: The Canaries: an important biogeographical meeting place. J Biogeogr. 2008, 35: 379-387. 10.1111/j.1365-2699.2008.01890.x.View ArticleGoogle Scholar
- Sanmartín I, van der Mark P, Ronquist F: Inferring dispersal: a Bayesian approach to phylogeny-based island biogeography, with special reference to the Canary Islands. J Biogeogr. 2008, 35: 428-449. 10.1111/j.1365-2699.2008.01885.x.View ArticleGoogle Scholar
- Silvertown J, Francisco-Ortega J, Carine M: The monophyly of island radiations: an evaluation of niche pre-emption and some alternative explanations. J Ecol. 2005, 93: 653-657. 10.1111/j.1365-2745.2005.01038.x.View ArticleGoogle Scholar
- Carine MA, Humphries CJ, Guma IR, Reyes-Betancort JA, Santos-Guerra A: Areas and algorithms: evaluating numerical approaches for the delimitation of areas of endemism in the Canary Islands archipelago. J Biogeogr. 2009, 36: 593-611. 10.1111/j.1365-2699.2008.02016.x.View ArticleGoogle Scholar
- Guzmán B, Vargas P: Unexpected synchronous differentiation in Mediterranean and Canarian Cistus (Cistaceae). Perspect Plant Ecol Evol Syst. 2010, 12: 163-174. 10.1016/j.ppees.2009.09.002.View ArticleGoogle Scholar
- Fernández-Mazuecos M, Vargas P: Genetically depauperate in the continent but rich in oceanic islands: Cistus monspeliensis (Cistaceae) in the Canary Islands. PLoS One. 2011, 6: e17172-10.1371/journal.pone.0017172.PubMedPubMed CentralView ArticleGoogle Scholar
- Antonelli A, Sanmartín I: Mass extinction, gradual cooling, or rapid radiation? Reconstructing the spatiotemporal evolution of the ancient angiosperm genus Hedyosmum (Chloranthaceae) using empirical and simulated approaches. Syst Biol. 2011, 60: 596-615. 10.1093/sysbio/syr062.PubMedView ArticleGoogle Scholar
- Whittaker RJ, Triantis KA, Ladle RJ: A general dynamic theory of oceanic island biogeography. J Biogeogr. 2008, 35: 977-994. 10.1111/j.1365-2699.2008.01892.x.View ArticleGoogle Scholar
- Bramwell D, Bramwell Z: Wild Flowers of the Canary Islands. 2001, Madrid: Editorial Rueda, 2Google Scholar
- Dostál J: Cheirolophus. Flora Europaea. Edited by: Tutin TG, Heywwod VH, Burges NA, Moore DM, Valentine DH, Waltets SM. 1976, Cambridge: Cambridge University Press, 249-250.Google Scholar
- Wagenitz G: Pollenmorphologie und Systemtik in der Gattung Centaurea L. s. l. Flora. 1955, 142: 213-279.Google Scholar
- Crawford DJ, Lowrey TK, Anderson GJ, Bernardello G, Santos-Guerra A, Stuessy TF: Genetic diversity in Asteraceae endemic to oceanic islands: Baker’s Law and polyploidy. Syst Evol Biogeogr Compos. Edited by: Funk VA, Susanna A, Stuessy TF, Bayer RJ. 2009, Vienna: International Association for Plant Taxonomy, 139-151.Google Scholar
- IUCN Red List of Threatened Species Version 2012.2. http://www.iucnredlist.org,
- Bañares A, Blanca G, Güemes J, Moreno JC, Ortiz S: Atlas y Libro Rojo de La Flora Vascular Amenazada de España. Adenda 2010. 2010, Madrid: Dirección General de Medio Natural y Política Forestal y Sociedad Española de Biología de la Conservación de PlantasGoogle Scholar
- Garnatje T, Susanna A, Messeguer R: Isozyme studies in the genus Cheirolophus (Asteraceae: Cardueae-Centaureinae) in the Iberian Peninsula, North Africa and the Canary Islands. Plant Syst Evol. 1998, 213: 57-70. 10.1007/BF00988908.View ArticleGoogle Scholar
- Susanna A, Garnatje T, Garcia-Jacas N: Molecular phylogeny of Cheirolophus (Asteraceae: Cardueae-Centaureinae) based on ITS sequences of nuclear ribosomal DNA. Plant Syst Evol. 1999, 214: 147-160. 10.1007/BF00985736.View ArticleGoogle Scholar
- Garnatje T, Garcia S, Canela MÁ: Genome size variation from a phylogenetic perspective in the genus Cheirolophus Cass. (Asteraceae): biogeographic implications. Plant Syst Evol. 2007, 264: 117-134. 10.1007/s00606-006-0489-7.View ArticleGoogle Scholar
- Barres L, Sanmartín I, Anderson CL, Susanna A, Buerki S, Galvany-Casals M, Vilatersana R: Reconstructing the evolution and biogeographic history of tribe Cardueae (Compositae). Am J Bot. 2013, 100: 867-882. 10.3732/ajb.1200058.PubMedView ArticleGoogle Scholar
- Doyle J, Doyle JL: Genomic plant DNA preparation from fresh tissue-CTAB method. Phytochem Bull. 1987, 19: 11-15.Google Scholar
- Soltis DE, Soltis PS, Collier TG, Edgerton ML: Chloroplast DNA variation within and among genera of the Heuchera group (Saxifragaceae): evidence for chloroplast transfer and paraphyly. Am J Bot. 1991, 78: 1091-1112. 10.2307/2444898.View ArticleGoogle Scholar
- Cullins KW: Design and testing of a plant-specific primer for ecological and evolutionary studies. Mol Ecol. 1992, 1: 233-240. 10.1111/j.1365-294X.1992.tb00182.x.View ArticleGoogle Scholar
- Shaw J, Lickey EB, Schilling EE, Small RL: Comparison of whole chloroplast genome sequences to choose noncoding regions for phylogenetic studies in angiosperms: the tortoise and the hare III. Am J Bot. 2007, 94: 275-288. 10.3732/ajb.94.3.275.PubMedView ArticleGoogle Scholar
- Pellicer J, Vallès J, Korobkov AA, Garnatje T: Phylogenetic relationships of Artemisia subg. Dracunculus (Asteraceae) based on ribosomal and chloroplast DNA sequences. Taxon. 2011, 60: 691-704.Google Scholar
- Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser. 1999, 41: 95-98.Google Scholar
- Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.PubMedView ArticleGoogle Scholar
- Swofford DL: PAUP*. Phylogenetic Analysis Using Parsimony (*and other Methods). Version 4. 2003, Sunderland, Massachusetts: Sinauer AssociatesGoogle Scholar
- Posada D: jModelTest: phylogenetic model averaging. Mol Biol Evol. 2008, 25: 1253-1256. 10.1093/molbev/msn083.PubMedView ArticleGoogle Scholar
- Ronquist F, Huelsenbeck JP, van der Mark P: MrBayes 3.1 Manual. Distributed with the Program by the Authors. 2005Google Scholar
- Rambaut A, Drummond AJ: FigTree v 1. 3.1. 2009, Available from http://tree.bio.ed.ac.uk/software/figtree 2009Google Scholar
- Pelser PB, Kennedy AH, Tepe EJ, Shidler JB, Nordenstam B, Kadereit JW, Watson LE: Patterns and causes of incongruence between plastid and nuclear Senecioneae (Asteraceae) phylogenies. Am J Bot. 2010, 97: 856-873. 10.3732/ajb.0900287.PubMedView ArticleGoogle Scholar
- Jones KE, Reyes-Betancort JA, Hiscock SJ, Carine MA: Allopatric diversification, multiple habitat shifts, and hybridization in the evolution of Pericallis (Asteraceae), a Macaronesian endemic genus. Am J Bot. 2014, 101: 637-651. 10.3732/ajb.1300390.PubMedView ArticleGoogle Scholar
- Krak K, Caklová P, Chrtek J, Fehrer J: Reconstruction of phylogenetic relationships in a highly reticulate group with deep coalescence and recent speciation (Hieracium, Asteraceae). Heredity. 2013, 110: 138-151. 10.1038/hdy.2012.100.PubMedPubMed CentralView ArticleGoogle Scholar
- Heled J, Drummond AJ: Bayesian inference of species trees from multilocus data. Mol Biol Evol. 2010, 27: 570-580. 10.1093/molbev/msp274.PubMedPubMed CentralView ArticleGoogle Scholar
- Seehausen O: Hybridization and adaptive radiation. Trends Ecol Evol. 2004, 19: 198-207. 10.1016/j.tree.2004.01.003.PubMedView ArticleGoogle Scholar
- Koblmüller S, Egger B, Sturmbauer C, Sefc KM: Rapid radiation, ancient incomplete lineage sorting and ancient hybridization in the endemic Lake Tanganyika cichlid tribe Tropheini. Mol Phylogenet Evol. 2010, 55: 318-334. 10.1016/j.ympev.2009.09.032.PubMedView ArticleGoogle Scholar
- Rambaut A, Drummond AJ: Tracer. Available from http://tree.bio.ed.ac.uk/software/tracer/ 2007
- Drummond AJ, Rambaut A: BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007, 7: 214-10.1186/1471-2148-7-214.PubMedPubMed CentralView ArticleGoogle Scholar
- Drummond AJ, Suchard MA, Xie D, Rambaut A: Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol. 2012, 29: 1969-1973. 10.1093/molbev/mss075.PubMedPubMed CentralView ArticleGoogle Scholar
- Baele G, Lemey P, Bedford T, Rambaut A, Suchard MA, Alekseyenko AV: Improving the accuracy of demographic and molecular clock model comparison while accommodating phylogenetic uncertainty. Mol Biol Evol. 2012, 29: 2157-2167. 10.1093/molbev/mss084.PubMedPubMed CentralView ArticleGoogle Scholar
- Gernhard T: The conditioned reconstructed process. J Theor Biol. 2008, 253: 769-778. 10.1016/j.jtbi.2008.04.005.PubMedView ArticleGoogle Scholar
- Ho SYW, Phillips MJ: Accounting for calibration uncertainty in phylogenetic estimation of evolutionary divergence times. Syst Biol. 2009, 58: 367-380. 10.1093/sysbio/syp035.PubMedView ArticleGoogle Scholar
- Paradis E, Claude J, Strimmer K: APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 2004, 20: 289-290. 10.1093/bioinformatics/btg412.PubMedView ArticleGoogle Scholar
- Pybus OG, Harvey PH: Testing macro-evolutionary models using incomplete phylogenies. Proc Biol Sci. 2000, 267: 2267-2272. 10.1098/rspb.2000.1278.PubMedPubMed CentralView ArticleGoogle Scholar
- Harmon LJ, Weir JT, Brock CD, Glor RE, Challenger W: GEIGER: investigating evolutionary radiations. Bioinformatics. 2008, 24: 129-131. 10.1093/bioinformatics/btm538.PubMedView ArticleGoogle Scholar
- Stadler T: Mammalian phylogeny reveals recent diversification rate shifts. Proc Natl Acad Sci U S A. 2011, 108: 6187-6192. 10.1073/pnas.1016876108.PubMedPubMed CentralView ArticleGoogle Scholar
- Alfaro ME, Santini F, Brock C, Alamillo H, Dornburg A, Rabosky DL, Carnevale G, Harmond LJ: Nine exceptional radiations plus high turnover explain species diversity in jawed vertebrates. Proc Natl Acad Sci USA. 2009, 106: 13410-13414. 10.1073/pnas.0811087106.PubMedPubMed CentralView ArticleGoogle Scholar
- Magallón S, Sanderson MJ: Absolute diversification rates in angiosperm clades. Evolution. 2001, 55: 1762-1780. 10.1111/j.0014-3820.2001.tb00826.x.PubMedView ArticleGoogle Scholar
- Clement M, Posada D, Crandall KA: TCS: a computer program to estimate gene genealogies. Mol Ecol. 2000, 9: 1657-1659. 10.1046/j.1365-294x.2000.01020.x.PubMedView ArticleGoogle Scholar
- Lemey P, Rambaut A, Drummond AJ, Suchard MA: Bayesian phylogeography finds its roots. PLoS Comput Biol. 2009, 5: e1000520-10.1371/journal.pcbi.1000520.PubMedPubMed CentralView ArticleGoogle Scholar
- Ronquist F, Sanmartín I: Phylogenetic methods in biogeography. Annu Rev Ecol Evol Syst. 2011, 42: 441-464. 10.1146/annurev-ecolsys-102209-144710.View ArticleGoogle Scholar
- Smith SA, Donoghue MJ: Rates of molecular evolution are linked to life history in flowering plants. Science. 2008, 322: 86-89. 10.1126/science.1163197.PubMedView ArticleGoogle Scholar
- Álvarez I, Wendel JF: Ribosomal ITS sequences and plant phylogenetic inference. Mol Phylogenet Evol. 2003, 29: 417-434. 10.1016/S1055-7903(03)00208-2.PubMedView ArticleGoogle Scholar
- Nieto Feliner G, Rosselló JA: Better the devil you know? Guidelines for insightful utilization of nrDNA ITS in species-level evolutionary studies in plants. Mol Phylogenet Evol. 2007, 44: 911-919. 10.1016/j.ympev.2007.01.013.PubMedView ArticleGoogle Scholar
- Lynch M, Koskella B, Schaack S: Mutation pressure and the evolution of organelle genomic architecture. Science. 2006, 311: 1727-1730. 10.1126/science.1118884.PubMedView ArticleGoogle Scholar
- Goodson BE, Santos-Guerra A, Jansen RK: Molecular systematics of Descurainia (Brassicaceae) in the Canary Islands: biogeographic and taxonomic implications. Taxon. 2006, 55: 671-682. 10.2307/25065643.View ArticleGoogle Scholar
- Pillon Y, Johansen J, Sakishima T, Chamala S, Barbazuk WB, Roalson EH, Stacy EA: Potential use of low-copy nuclear genes in DNA barcoding: a comparison with plastid genes in two Hawaiian plant radiations. BMC Evol Biol. 2013, 13: 35-10.1186/1471-2148-13-35.PubMedPubMed CentralView ArticleGoogle Scholar
- Francisco-Ortega J, Jansen RK, Santos‒Guerra A: Chloroplast DNA evidence of colonization, adaptive radiation, and hybridization in the evolution of the Macaronesian flora. Proc Natl Acad Sci U S A. 1996, 93: 4085-4090. 10.1073/pnas.93.9.4085.PubMedPubMed CentralView ArticleGoogle Scholar
- Barber JC, Finch CC, Francisco-Ortega J, Santos-Guerra A, Jansen RK: Hybridization in Macaronesian Sideritis (Lamiaceae): evidence from incongruence of multiple independent nuclear and chloroplast sequence datasets. Taxon. 2007, 56: 74-88.Google Scholar
- Fernández-Palacios JM, De Nascimento L, Otto R, Delgado JD, García-del-Rey E, Arévalo JR, Whittaker RJ: A reconstruction of Palaeo-Macaronesia, with particular reference to the long-term biogeography of the Atlantic island laurel forests. J Biogeogr. 2011, 38: 226-246. 10.1111/j.1365-2699.2010.02427.x.View ArticleGoogle Scholar
- Fortelius M, Eronen J, Liu L, Pushkina D, Tesakov A, Vislobokova I, Zhang Z: Late Miocene and Pliocene large land mammals and climatic changes in Eurasia. Palaeogeogr Palaeoclimatol Palaeoecol. 2006, 238: 219-227. 10.1016/j.palaeo.2006.03.042.View ArticleGoogle Scholar
- Thompson JD: Plant Evolution in the Mediterranean. 2005, Oxford: Oxford University PressView ArticleGoogle Scholar
- Médail F, Diadema K: Glacial refugia influence plant diversity patterns in the Mediterranean Basin. J Biogeogr. 2009, 36: 1333-1345. 10.1111/j.1365-2699.2008.02051.x.View ArticleGoogle Scholar
- Fiz-Palacios O, Valcárcel V: From Messinian crisis to Mediterranean climate: a temporal gap of diversification recovered from multiple plant phylogenies. Perspect Plant Ecol Evol Syst. 2013, 15: 130-137. 10.1016/j.ppees.2013.02.002.View ArticleGoogle Scholar
- Knope ML, Morden CW, Funk VA, Fukami T: Area and the rapid radiation of Hawaiian Bidens (Asteraceae). J Biogeogr. 2012, 39: 1206-1216. 10.1111/j.1365-2699.2012.02687.x.View ArticleGoogle Scholar
- Valente LM, Savolainen V, Vargas P: Unparalleled rates of species diversification in Europe. Proc Biol Sci. 2010, 277: 1489-1496. 10.1098/rspb.2009.2163.PubMedPubMed CentralView ArticleGoogle Scholar
- Hughes C, Eastwood R: Island radiation on a continental scale: exceptional rates of plant diversification after uplift of the Andes. Proc Natl Acad Sci USA. 2006, 103: 10334-10339. 10.1073/pnas.0601928103.PubMedPubMed CentralView ArticleGoogle Scholar
- Nee S: Models in macroevolution. Annu Rev Ecol Evol Syst. 2006, 37: 1-17. 10.1146/annurev.ecolsys.37.091305.110035.View ArticleGoogle Scholar
- Okada M, Whitkus R, Lowrey TK: Genetics of adaptive radiation in Hawaiian and Cook Islands species of Tetramolopium (Asteraceae; Astereae). I. Nuclear RFLP marker diversity. Am J Bot. 1997, 84: 1236-1246. 10.2307/2446048.PubMedView ArticleGoogle Scholar
- Whitkus R, Doan H, Lowrey TK: Genetics of adaptive radiation in Hawaiian species of Tetramolopium (Asteraceae). III. Evolutionary genetics of sex expression. Heredity. 2000, 85: 37-42. 10.1046/j.1365-2540.2000.00722.x.PubMedView ArticleGoogle Scholar
- Allan GJ, Francisco-Ortega J, Santos-Guerra A, Boerner E, Zimmer EA: Molecular phylogenetic evidence for the geographic origin and classification of Canary Island Lotus (Fabaceae: Loteae). Mol Phylogenet Evol. 2004, 32: 123-138. 10.1016/j.ympev.2003.11.018.PubMedView ArticleGoogle Scholar
- Trusty JL, Olmstead RG, Santos-Guerra A, Sá-Fontinha S, Francisco-Ortega J: Molecular phylogenetics of the Macaronesian-endemic genus Bystropogon (Lamiaceae): palaeo-islands, ecological shifts and interisland colonizations. Mol Ecol. 2005, 14: 1177-1789. 10.1111/j.1365-294X.2005.02487.x.PubMedView ArticleGoogle Scholar
- Guillou H, Carracedo JC, Paris R, Pérez Torrado FJ: Implications for the early shield-stage evolution of Tenerife from K/Ar ages and magnetic stratigraphy. Earth Planet Sci Lett. 2004, 222: 599-614. 10.1016/j.epsl.2004.03.012.View ArticleGoogle Scholar
- Carracedo JC, Badiola ER, Guillou H, Paterne M, Scaillet S, Pérez Torrado FJ, Paris R, Fra-Paleo U, Hansen A: Eruptive and structural history of Teide Volcano and rift zones of Tenerife, Canary Islands. Geol Soc Am Bull. 2007, 119: 1027-1051. 10.1130/B26087.1.View ArticleGoogle Scholar
- Meco J, Ramos AJG, Ballester J, Petit-Maire N, Guillou H, Carracedo JC, Lomoschitz A: Climatic changes over the last 5,000,000 years as recorded in the Canary Islands. Episodes. 2003, 23: 133-134.Google Scholar
- Carlquist S: Island Biology. 1974, New York: Columbia University PressView ArticleGoogle Scholar
- Whittaker RJ, Fernández-Palacios JM: Island Biogeography: Ecology, Evolution and Conservation. 2007, Oxford: Oxford UniGoogle Scholar
- Sventenius ER: Las Centaureas de la sección Cheirolophus en las islas Macaronésicas. Anu Estud Atl. 1960, 6: 219-236.Google Scholar
- Nathan R: Long-distance dispersal of plants. Science. 2006, 313: 786-788. 10.1126/science.1124975.PubMedView ArticleGoogle Scholar
- Garnatje T, Pérez-Collazos E, Pellicer J, Catalán P: Balearic insular isolation and large continental spread framed the phylogeography of the western Mediterranean Cheirolophus intybaceus s.l. (Asteraceae). Plant Biol. 2013, 15: 165-175.View ArticleGoogle Scholar
- Baker HG: Self-compatibility and establishment after “long-distance” dispersal. Evolution. 1955, 9: 347-349. 10.2307/2405656.View ArticleGoogle Scholar
- Index to chromosome numbers in the Asteraceae. [http://www.lib.kobe-u.ac.jp/infolib/meta_pub/G0000003asteraceae_e]
- Vallès J, Pellicer J, Sánchez-Jiménez I, Hidalgo O, Vitales D, Garcia S, Martín J, Garnatje T: Polyploidy and other changes at chromosomal level and in genome size : its role in systematics and evolution exemplified by some genera of Anthemideae and Cardueae (Asteraceae). Taxon. 2012, 61: 841-851.Google Scholar
- Francisco-Ortega J, Crawford DJ, Santos-Guerra A, Jansen RK: Origin and evolution of Argyranthemum (Asteraceae: Anthemideae) in Macaronesia. Mol Evol Adapt Radiat. Edited by: Givnish TJ, Sytsma KJ. 2000, Cambridge: Cambridge University Press, 407-431.Google Scholar
- Baldwin BG, Sanderson MJ: Age and rate of diversification of the Hawaiian silversword alliance (Compositae). Proc Natl Acad Sci USA. 1998, 95: 9402-9406. 10.1073/pnas.95.16.9402.PubMedPubMed CentralView ArticleGoogle Scholar
- Schluter D: The Ecology of Adaptive Radiation. 2000, Oxford: Oxford University PressGoogle Scholar
- Vitales D, Garnatje T, Pellicer J, Vallès J, Santos-Guerra A, Sanmartín I: The Explosive Radiation of Cheirolophus (Asteraceae, Cardueae) in Macaronesia. TreeBase 2014. http://treebase.org/treebase-web/search/study/summary.html?id=15742,
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