Translator Disclaimer
22 September 2015 Speciation and Biogeography of Erigeron (Asteraceae) in the Juan Fernández Archipelago, Chile, Based on AFLPs and SSRs
Author Affiliations +
Abstract

Oceanic islands provide many opportunities for examining modes of speciation in endemic plants, especially using modern molecular methods. Most speciation has been by either cladogenesis, usually resulting in radiated complexes, or anagenesis, yielding single transformed species. Previous genetic studies with available molecular markers, representing a limited sampling of the genome, have suggested that during cladogenesis, species accrue small genetic differences but differ dramatically in morphology. An appropriate archipelago in which to evaluate the genetic consequences of cladogenesis is the Juan Fernández Islands, a national park of Chile. This present study focuses on AFLP and SSR genetic differences among and within populations of six endemic species of Erigeron (Asteraceae), restricted principally to the younger island, Alejandro Selkirk (one to two million years old). Results show that three different genetic lineages exist among these species: (1) E. rupicola and E. stuessyi; (2) E. fernandezianus; and (3) the E. ingae complex (including E. ingae, E. luteoviridis, and E. turricola). The three genetic lines are distinct from each other, and each harbors considerable genetic variation. The three species of the E. ingae complex appear to be segregating genetically but are not yet ecologically divergent. The amount of genetic differentiation among species of Erigeron is less than that already documented among species of Robinsonia (Asteraceae) on the older island (four million years old). Erigeron fernandezianus, occurring on both islands, appears to have originated on Alejandro Selkirk Island and subsequently dispersed and established also on Robinson Crusoe Island.

Numerous investigations have shown the utility of oceanic islands for providing opportunities for revealing patterns and processes of evolution (Whittaker and Fernández-Palacios 2007; Bramwell and Caujapé-Castells 2011). Due to the isolation of oceanic islands from source areas, plus known geological ages, the number of evolutionary and biogeographic hypotheses for the origin and diversification of endemic taxa is usually less than in more complex continental settings (Emerson 2002). Comparative studies among taxa and populations, therefore, provide data for generating detailed evolutionary hypotheses that can be tested with new molecular data.

One of the most suitable oceanic archipelagos for evolutionary and biogeographic studies is the Juan Fernández (= Robinson Crusoe) Islands, representing one of the national parks of Chile. The archipelago consists of two major islands, Robinson Crusoe (= Masatierra) and Alejandro Selkirk (= Masafuera), each approximately 50 km2 (Stuessy 1995). The utility of these islands for interpretation of evolutionary and biogeographic events derives from their east-west orientation from the major source area (southern South America), their considerable isolation from the mainland (667 km) as well as distance between the islands (181 km), and the known geological ages (ca. four my for Robinson Crusoe and one to two my for Alejandro Selkirk; Stuessy et al. 1984). This setting suggests that there is a much higher probability of a propagule first arriving and establishing on Robinson Crusoe Island, being older and closer to the continent, than on Alejandro Selkirk Island. Once the younger island was formed, it offered additional opportunities for colonization, principally from the nearby older island, followed by establishment and another cycle of speciation. It is this geographic and geological setting, therefore, that makes this archipelago markedly suitable for biogeographic and evolutionary studies (Stuessy et al. 2005).

One genus in the archipelago, Erigeron (Asteraceae), consists of six endemic species: E. fernandezianus (Colla) Solbrig, E. ingae Skottsb., E. luteoviridis Skottsb., E. rupicola Phil., E. stuessyi Valdeb., and E. turricola Skottsb. This is the third most species rich genus in the islands. All species are known chromosomally as n = 27 (Valdebenito et al. 1992). The interesting feature is that these all occur on the younger island (Alejandro Selkirk). It seems probable, therefore, that the genus arrived and established first on the younger island instead of the older island. This is not the most likely biogeographic hypothesis, and in fact, represents a unique situation in the archipelago. After colonization to Alejandro Selkirk Island, dispersal into different habitats led to phyletic radiation and eventually six morphologically distinct species. One of the species, however, E. fernandezianus, also occurs on the older island, but there it is more restricted to paths and disturbed areas, suggesting back introduction perhaps even during historical time (Valdebenito et al. 1992).

Morphological and limited nucleotide sequence data suggest that the Erigeron complex in the Juan Fernández Islands is monophyletic, i.e. that it originated from a single continental ancestor somewhere in South America, where the genus is known to be diverse (Solbrig 1962). Morphological phenetic analyses among 22 species of Erigeron in South America (Valdebenito et al. 1992) have revealed all island taxa to form a cluster, but which also includes E. leptorhizon from coastal Peru. Noyes (2000) carried out a molecular phylogenetic study that included many species of Erigeron using sequences from the internal transcribed spacer of nuclear ribosomal DNA (ITS), but sampling in the islands was restricted to only E. fernandezianus and E. rupicola. It should be pointed out that the collection of the latter taxon, Stuessy et al. 8508, was mistakenly listed in the ITS study (Noyes 2000) as E. rosulatus. This species is not known from the islands, and the voucher specimen reveals this collection number to be the endemic E. rupicola from Alejandro Selkirk Island. These two island endemics are monophyletic with ITS data (Noyes 2000), but a comprehensive analysis including all island species has not yet been accomplished. Because of morphological cohesiveness, however (Valdebenito et al. 1992), it is likely that the group in the islands has resulted from a single introduction.

For accurate assessments of genetic variation within and among populations, both overall genomic and specific allelic patterns can profitably be used. In the present study, both amplified fragment length polymorphisms (AFLPs; Vos et al. 1995) and simple sequence repeats (SSRs) have been chosen to reveal relationships and to suggest genetic consequences of speciation and biogeography. Numerous studies have shown AFLPs to be useful for showing genetic variation within and among populations (Tremetsberger et al. 2003; López-Sepúlveda et al. 2013a). For more explicit allelic information, SSRs, especially nuclear microsatellites, have also provided helpful insights into population variation in numerous groups (e.g. Gleiser et al. 2008; Kikuchi et al. 2009).

A number of different mechanisms of speciation, and divergence leading to speciation, have been analyzed with different techniques and in different plant and animal groups of oceanic islands (Whittaker and Fernández-Palacios 2007). One of the most studied processes is radiation (via cladogenesis), which has given rise to groups of related taxa that have evolved rapidly into different habitats and have usually undergone dramatic morphological change (Schluter 2000, 2001). Another process of speciation is anagenesis, whereby an immigrant population changes over time through mutation, recombination, and drift and eventually becomes different enough morphologically and genetically from the continental progenitor to be regarded as a distinct species (Stuessy et al. 2006). Within the endemic flora of the Juan Fernández Islands, both speciation via cladogenesis and anagenesis have occurred (Stuessy et al. 1990), and these processes have taken place on both the older and younger islands. Investigation of Erigeron, in comparison with groups already analyzed, provides an opportunity to examine the genetic consequences of these types of speciation.

To understand evolution in the Juan Fernández Archipelago, it would seem reasonable to investigate groups residing on the younger, rather than older, island, such as is the case with Erigeron. Less erosion and habitat modification have occurred on the younger Alejandro Selkirk Island, resulting in present population and genetic patterns that may more clearly reflect processes of differentiation and speciation. Furthermore, the older Robinson Crusoe Island has been the location of a permanent human settlement for several centuries and has had more human disturbances (Woodward 1969) that have negatively impacted the native vegetation.

The purposes of this study, therefore, were to: (1) reveal relationships among all endemic species of Erigeron in the archipelago; (2) examine biogeographic scenarios in the face of the new genetic data; and (3) evaluate patterns of genetic variation within the group with reference to modes of speciation.

Materials and Methods

Plant Material and DNA Extraction—Six endemic species of Erigeron, E. fernandezianus, E. ingae, E. luteoviridis, E. rupicola, E. stuessyi, and E. turricola were collected during expeditions to the Juan Fernández Archipelago in 2010 and 2011. Leaves of these species were collected in silica gel from individuals of 32 (13 in Robinson Crusoe and 19 in Alejandro Selkirk), 2, 2, 9, 2, and 3 populations, respectively as listed above, in the Juan Fernández Archipelago (Fig. 1; supplemental data). Voucher specimens of each population were deposited in the herbarium of the University of Vienna (WU), and the collection data are given in the supplemental data. Total genomic DNA was extracted by using the DNeasy 96 plant kit (Qiagen, Hilden, Germany) for both AFLP and microsatellite analyses.

AFLP Fingerprinting—We conducted AFLP analyses following the protocol of Vos et al. (1995), with modifications by Tremetsberger et al. (2003). Primer combinations suitable for genotyping were tested with 85 primer combinations for 4–16 individuals from one to four populations of each of the six species. Finally, six combinations of selective primers were selected: MseI-CAA/EcoRI-ACT (FAM); MseI-CAG/EcoRI-ATC (FAM); MseI-CTA/EcoRI-AGG (VIC); MseI-CTC/EcoRI-AAG (VIC); MseI-CAT/EcoRI-ACC (NED); and MseI-CAG/EcoRI-AGC (NED). A total of 652 individuals was analyzed from the six species (Table 1). Generated AFLP fragments were run on an automated sequencer (ABI 3130xl, Applied Biosystems, California) and scored by using the program GeneMarker ver. 1.85 (SoftGenetics LLC, Pennsylvania). An automatic panel editor for scoring was used for each selective primer combination (Curtin et al. 2007), including alleles of 150–510 base pairs, and then modified manually. The repeatability of the AFLP fragments was tested as the ratio of number of fragment differences/total number of comparisons (Bonin et al. 2004) using replication of ten percent of the total individuals. The generated matrices from each primer combination were pooled into one matrix (Wooten and Tolley-Jordan 2009) for population genetic analyses.

Microsatellites—Twelve microsatellite markers were initially isolated from species of Erigeron based on repeatability and scoring convenience (Takayama et al. 2012a). Four combinations of multiplex PCR amplification were performed using the 5′-tailed primer method (Boutin-Ganache et al. 2001) and a slightly modified protocol of the Qiagen multiplex PCR kit (Qiagen, Hilden, Germany) following Takayama et al. (2012a). The combinations with four different dyes were as follows: ER-G241H, ER-G7RC3, ER-CO124 with 6-FAM; ER-G3OOM, ER-HAJZC, ER-HDLDG with VIC; ER-HE8SM, RER-HANK8, ER-GZHZ0 with NED; ER-HKNVD, ER-HCHKA, ER-GUJTP with PET. A total of 753 individuals was analyzed from the six species (Table 1). The amplified fragments were run on an automated sequencer (ABI 3130xl) and scored by the program GeneMarker ver. 1.85 (SoftGenetics LLC). We were unable to obtain scorable peaks with two markers, ER-HCHKA and ER-GUJTP, and these were therefore excluded from analysis. A final data matrix was generated from 10 markers and used for population genetic analyses.

Fig. 1.

Location of the Juan Fernández Archipelago and populations sampled of endemic species of Erigeron (Asteraceae). Open circles = E. fernandezianus; closed circles = E. rupicola; open squares = E. ingae; closed squares = E. turricola; open pentagons = E. luteoviridis; closed pentagons = E. stuessyi.

f01_888.jpg

Data Analysis—For AFLPs, the average genetic diversity over loci in each population and species (AGDOL; the probability that two homologous band sites, randomly chosen, are different) was estimated by the program ARLEQUIN 3.5.1.2 (Excoffier et al. 2005). Other genetic diversity estimates, percentage of polymorphic bands (PPB), total number of AFLP bands (TNB), the number of private bands (NPB), and Shannon diversity index (SDI) were estimated using FAMD ver. 1.25 (Schlüter and Harris 2006) by populations and species. The rarity index (RI) (Schönswetter and Tribsch 2005) was calculated by R-script AFLPdat (Ehrich 2006). Nei-Li genetic distance among individuals was calculated from the AFLP matrix, and the inferred neighbor-net phenogram (Bryant and Moulton 2004) was based on distance using the software SplitsTree4 ver. 4.10 (Huson and Bryant 2006).

Pairwise FST between species (E. fernandezianus is divided into two island populations) were calculated according to Weir and Cockerham (1984). The statistical significance of departures from zero for obtaining the FST was tested using the exact test with 10,000 permutations in ARLEQUIN 3.5.1.2 (Excoffier et al. 2005). An analysis of molecular variance (AMOVA) was also implemented with ARLEQUIN 3.5.1.2 (Excoffier et al. 2005) to estimate genetic variation among and within populations in each species and also in all endemic species of Erigeron. Significance tests of the variance components were performed by 1,023 permutations. A Bayesian clustering method (Pritchard et al. 2000; Falush et al. 2003) to examine genetic structure and delimitation among species and populations was implemented in STRUCTURE 2.3.3 (Pritchard et al. 2000; Falush et al. 2007; Hubisz et al. 2009) using an admixture model with correlated allele frequency (after the F-model; Falush et al. 2003). Ten replicate runs were performed with the number of steps being 100,000, with 50,000 iteration runs in each K from 1–10. The highest level of structure was inferred from a posterior probability of the data for a given K and ΔK value (Evanno et al. 2005) using the structure harvester (Earl and von Holdt 2012).

For microsatellites, significances of linkage disequilibrium (LD) and deviation from a Hardy-Weinberg equilibrium (HWE) between loci in each population were tested with a Markov chain method with 10,000 dememorisation steps, 1,000 batches, and 500 iterations per batch, using the program GENEPOP 4.0 (Raymond and Rousset 1995). The null allele frequency in each marker was estimated using the algorithm provided by Brookfield (1996) in Micro-Checker 2.2.3 (van Oosterhout et al. 2004). The genetic diversity estimates, observed proportion of heterozygotes (HO), expected proportion of heterozygotes (HE), number of alleles per locus (NA), allelic richness (AR), and inbreeding coefficient (FIS), were calculated for each population and species using FSTAT 2.9.3.2 (Goudet 1995). Allelic richness was calculated for each population and species, standardized by one and ten individuals, respectively, using the rarefaction method (Hurlbert 1971). The unbiased expected proportion of heterozygotes (μHE), the number of private alleles (NPA), and the number of locally common alleles (NLCA) were estimated by GENALEX 6 (Peakall and Smouse 2006). A neighbor-joining tree based on DA genetic distance among populations (Nei et al. 1983) was inferred by the program Populations 1.2.30 (Langella 1999). Pairwise FST, AMOVA, and STRUCTURE were estimated by the same methods as with AFLPs.

Results

Properties of AFLPs and Microsatellites—Among species of Erigeron, we found 444 AFLP bands, of which 100% were polymorphic. The percentages of polymorphic bands (PPB) within each species were 97.5%, 61.3%, 61.5%, 81.8%, 66.7%, and 49.3% in E. fernandezianus, E. ingae, E. luteoviridis, E. rupicola, E. stuessyi, and E. turricola, respectively (Table 2). The reproducibility of the AFLP bands was 96.2%.

Ten microsatellite loci were successfully genotyped in all individuals of the six species of Erigeron. There were 53 cases of deviation from HWE (p < 0.05) after Bonferroni correction across populations and loci, and 40 cases were related to positive FIS and 13 were negative. The frequency of null alleles across populations varied from 0.02–1.54, with an average frequency of 0.08 in all of the ten markers. Significant LD was found in five cases, namely between ER-HAJZC and ER-HDLDG in population 8, ER-G241H and ER-HDLDG, and ER-HDLDG and ER-HANK8 in population 14, ER-HAJZC and ER-HANK8 in population 39, and ER-G241H and ERG7RC3 in population 40 (p < 0.05) after Bonferroni correction. The markers and populations were not concentrated in particular combinations, making it possible to use all of the markers for further genetic analyses.

Table 1.

Summary of genetic diversity within populations of Erigeron in the Juan Fernández Archipelago estimated by AFLPs and microsatellites (SSRs). N, total number of analyzed samples; PPB, percentage of polymorphic bands; TNB, total number of bands; SDI, Shannon diversity index; AGDOL, average genetic diversity over loci; RI, rarity index; NPB, numbers of private bands; HO, the observed proportion of heterozygotes; HE, the expected proportion of heterozygotes; FIS, fixation index; NA, average of number of alleles; AR, allelic richness per one individual; NPA, number of private alleles; NLCA, number of locally common alleles (freq. ≥ 5%) found in 25% or fewer populations. In bold, average of the measures.

t01_888.gif

Table 2.

Genetic diversity within endemic species of Erigeron with AFLPs and microsatellites. N, total number of analyzed samples; PPB, percentage of polymorphic bands; TNB, total number of bands; SDI, Shannon diversity index; AGDOL, average genetic diversity over loci; RI, rarity index; NPB, numbers of private bands; HO, the observed proportion of heterozygotes; HE, the expected proportion of heterozygotes; FIS, fixation index; NA, average of number of alleles; AR11, allelic richness per eleven individuals; NPA, number of private alleles; NLCA, number of locally common alleles (freq. ≥ 5%) found in 25% or fewer populations.

t02_888.gif

Genetic DiversityWithin and Among Species—The genetic diversity estimates of AFLPs and microsatellites within populations and species are shown in Tables 1 and 2, respectively. The values of four estimates of genetic diversity within populations with AFLPs (TNB, PPB, SDI, and AGDOL) and four estimates from microsatellites (HE, μHE, NA, and AR1) were correlated (p < 0.001). No significant differences in genetic diversity among all species (E. fernandezianus populations from the two islands were considered as different groups) were found in AGDOL (AFLPs), HE, and AR1 (microsatellites) using Kruskal-Wallis's test and Tukey's pairwise comparison (p < 0.05). We also tested using Student's T test the significance of the genetic estimate between populations of E. fernandezianus on the two different islands, but no significant differences (p < 0.05) were observed in AGDOL and HE between them.

Genetic Divergence—The results for genetic divergence of populations and species as measured by RI and NPB (AFLPs) and NPA and NLCA (microsatellites) are shown in Tables 1 and 2. Genetic divergences calculated by FST among species are shown in Table 3, and all values deviate significantly from zero. Averages of the FST values between species were 0.279 and 0.421 in AFLPs and microsatellites, respectively.

Table 3.

Genetic differentiation (FST values) among endemic species (below: AFLPs, above: microsatellites).

t03_888.gif

Genetic Structure—The results of AMOVA are shown in Table 4. In the comparison of all species of Erigeron, high percentages of variation were found within populations in AFLPs and among species with microsatellites. In each species (Table 4, b–g), high percentages of variation were found mostly within populations.

The neighbor-net phenogram based on AFLP data using all individuals of Erigeron is shown in Fig. 2, and a neighborjoining tree based on DA distance of microsatellites is shown in Fig. 3. In the network showing AFLP results, most individuals were clearly assorted into respective species, but there were several exceptions: in E. rupicola (four individuals), E. turricola (four), E. ingae (one), and E. luteoviridis (one). In the microsatellite tree showing relationships among populations (Fig. 3), those of E. rupicola, E. fernandezianus in Robinson Crusoe, and most of E. fernandezianus in Alejandro Selkirk, were recognized as clear groups, but other species showed some intergradation with each other.

The results of the Bayesian clustering method with STRUCTURE are shown in Fig. 4. The uppermost level of structure was at K = 2 for both AFLPs and microsatellites according to the ΔK values, but the value increased to K = 6 for microsatellites. This is the reason we show the genetic structure from K = 2 to K = 6. Genetic discriminations of E. rupicola, E. fernandezianus in Robinson Crusoe, and E. fernandezianus in Alejandro Selkirk were visible in both AFLP and microsatellites from K = 4. Erigeron ingae showed a different genetic component with K = 5 with microsatellites, but not with AFLPs.

Discussion

Phylogenetic Relationships Among Species—Previous studies on determining relationships among species of Erigeron in the Juan Fernández archipelago have consisted of morphological phenetic and cladistic analyses, flavonoid investigations, and chromosome counts. Previous phenetic morphological investigations were done to determine relationships among endemic species of the islands and selected continental relatives (Valdebenito et al. 1992). The objectives were to ascertain if the group in the archipelago represented a monophyletic unit that evolved from a single introduction and to locate suitable progenitor taxa in the mainland. An initial phenetic analysis of 29 species of Erigeron from South America (Valdebenito et al. 1992) revealed that species of sect. Erigeron, which are concentrated on the western side of the Andes, are more closely allied to the island endemics than those of sect. Leptostelma (following sectional distinctions given by Solbrig 1962; the island species are not classified definitively in the newer sectional treatment of the genus by Nesom 1989). Subsequent phenetic studies, using cluster analysis with 55 vegetative and reproductive characters (Valdebenito et al. 1992), focused on relationships among only the 22 species of sect. Erigeron. Significant results showed that the island taxa formed a distinct cluster, which gave support to the hypothesis that the endemic species in the islands evolved from a single introduction. Solbrig (1962) had suggested that E. rupicola might have had a separate introduction to the islands, but the previous (and present genetic) data do not support this view. Erigeron leptorhizon from southern Peru, however, also joined this island cluster, which suggested that progenitors of the island complex might have been similar to this taxon in sect. Erigeron. This species inhabits dry hills (lomas) along the Pacific coast, which would be well positioned for possible dispersal to the islands, perhaps by wind or attachment to birds.

Table 4.

Summary of analyses of molecular variance (AMOVA), showing degrees of freedom (d. f.), sum of squares (SS), variance components, and total variance contributed by each component (%) and its associated significance (n = 1,023 permutations).

t04_888.gif

Fig. 2.

Splits-Tree neighbor-net (phylogenetic network) of AFLP data showing relationships among individuals in 50 populations of endemic species of Erigeron. AS = Alejandro Selkirk Island; RC = Robinson Crusoe Island.

f02_888.jpg

Fig.3.

Neighbor-joining tree of the 50 populations of endemic species of Erigeron based on distance of microsatellite data (DA, Nei et al. 1983). Bootstrap probabilities over 50% are shown above the branches.

f03_888.jpg

Fig. 4.

Results of STRUCTURE (Pritchard et al. 2000) analyses of data from endemic species of Erigeron. AFLP data shown above, SSR data below. K = 2–6 are shown. Each individual is represented by a single vertical line broken into K-colored segments with lengths proportional to each of the K-inferred clusters. EF = E. fernandezianus (RC and AS, populations on Robinson Crusoe or Alejandro Selkirk Islands); EI = E. ingae; EL = E. luteoviridis; ER = E. rupicola; ET = E. turricola; ES = E. stuessyi.

f04_888.jpg

Based on the structure of relationships inferred from the phenetic analyses, morphological cladistic analyses (parsimony) were completed with focus on the island species using seven vegetative and nine reproductive characters (Valdebenito et al. 1992). Erigeron rupicola occurs as a small rosette herb with short flowering stalks and small solitary heads, as does also E. stuessyi, but this latter species has leaves that are thinner and with longer flowering stalks. Erigeron fernandezianus is tall, with long, dentate leaves, sometimes becoming woody at the base, and with many medium-sized heads. Morphologically the populations of E. fernandezianus do not differ between the two islands. The remaining species are similar, being rosette-bearing with long flowering stalks, and with many larger flowering heads. For an outgroup, a set of character states was derived from E. leptorhizon and five Chilean continental coastal species, using mean state values for the group. This analysis revealed two main island clades: (1) E. rupicola and E. stuessyi; and (2) E. fernandezianus, E. ingae, E. luteoviridis, and E. turricola. The species showing the lowest number of state changes from the outgroup was E. rupicola, which is interesting as this is the species now occurring along the coastal rocks on Alejandro Selkirk Island (50–100 m), in a fashion similar to the preferred habitat of E. leptorhizon in coastal Peru. The related species, E. stuessyi, occurs also at lower elevations, but only inside the deep, cool, and moist quebrada (= ravine) walls, whereas E. fernandezianus appears on steep rock walls in the canyons and ravines from below 100 m to ca. 1,200 m. In the other branch of the cladogram, E. ingae and E. turricola appear in consecutive splits, which leaves E. luteoviridis and E. fernandezianus as sister species. The species of the E. ingae complex all occur at higher elevations (ca. 800–1,200 m) in the fern-grassland mosaic zone, and no particular ecological differentiation has ever been documented.

Valdebenito et al. (1992) examined flavonoids from 56 populations in six endemic species of Erigeron in the islands (E. ingae, E. fernandezianus, E. luteoviridis, E. rupicola, E. stuessyi, and E. turricola), including 26 populations from E. fernandezianus on Robinson Crusoe Island and 12 populations from Alejandro Selkirk Island. In addition, five species (E. campanensis, E. fasciculatus, E. karwinskianus, E. leptorhizon, and E. luxurians) from continental South America were investigated. The results showed flavonols and flavones within the species analyzed. Considerable infraspecific variation prevailed, with half or fewer compounds occurring in all populations within a species. Erigeron rupicola and E. stuessyi both lack C-glycosylflavones, although the sample within the latter species was extremely limited (only one plant). Nonetheless, this does help to support their closeness based on morphological assessments. Differences in profiles between populations of E. fernandezianus on the two islands, however, were observed, most conspicuously with the majority of populations on Robinson Crusoe Island containing C-glycosyl-flavones and those on Alejandro Selkirk lacking them. Variation among populations of the same species, however, may be equal to or greater than among populations from different species.

Chromosome counts of n = 27 for all endemic species of Erigeron in the islands have been reported previously by Solbrig et al. (1964), Sanders et al. (1983), Spooner et al. (1987), Sun et al. (1990), and Valdebenito et al. (1992). This level, known in many species of the genus (e.g. De Jong and Nesom 1996), is apparently hexaploid; diploids at n = 9 and tetraploids at n = 18 are also common. These data again support the concept of the island endemic species having been derived from a single introduction. Erigeron leptorhizon has been counted as n = 18 (Diers 1961; Valdebenito et al. 1992), which weakens its status as a possible direct progenitor of the island taxa. Other South American species, however, have been counted as n = 27 (e.g. E. ecuadoriensis; Jansen and Stuessy 1980). This indicates that the progenitor of the immigrant to the islands was probably already at the hexaploid level. Chromosomal change after establishment of a new lineage in oceanic island archipelagos is not common (Carr 1998; Stuessy and Crawford 1998).

Relationships established by the above data and analyses can be tested by comparison with the new genetic information from AFLPs and SSRs (Figs. 24, Table 3). The AFLP data (Fig. 2) show four main subdivisions of the genetic diversity among individuals in populations of the six species: (1) E. rupicola; (2) E. stuessyi allied with E. rupicola; (3) E. ingae, E. luteoviridis, and E. turricola; (4) approximately one-half of the populations of E. fernandezianus from Alejandro Selkirk; and (5) the remaining half of the Alejandro Selkirk populations allied closely with all populations on Robinson Crusoe Island. The morphological phenetic and cladistic analyses (Valdebenito et al. 1992) showed a close relationship between E. fernandezianus and E. luteoviridis. The analyses also revealed a close tie between E. rupicola and E. stuessyi (obvious to anyone examining the morphology of these two species), and these two species are genetically closely related with AFLP data (Fig. 2). With microsatellite data (Fig. 3), however, E. rupicola appears different from E. stuessyi, which ties more closely to the E. ingae complex. Otherwise, the relationships deetermined from microsatellite data (Fig. 3) are similar to those from AFLPs (Fig. 2).

Understanding relationships in the E. ingae complex from the AFLP and microsatellite data is particularly challenging. Erigeron ingae, E. luteoviridis, and E. turricola cluster together into one distinct line in both, although there is considerable genetic diversity, especially evident with the microsatellite data (Fig. 3). Solbrig (1962) stressed difficulty in morphologically distinguishing E. turricola from E. luteoviridis, and he synonymized the two. The group appears, therefore, to be in the process of stabilization of consistent genetic lines. All of these taxa occur in the high elevation “alpine” zone, but there are no apparent environmental differences among the habitats of the species.

The AFLP and microsatellite data clearly point to a divergence genetically between populations of E. fernandezianus on the two islands (Table 3). All populations from Robinson Crusoe Island cluster together, as do those from Alejandro Selkirk Island, although there is a subdivision of populations on the younger island. There is also less genetic diversity among populations on the older island based on nearly all measures (except for HO; Table 2). It is clear that genetic divergence has occurred between these population systems, almost as much as that seen between some of the other species, certainly more than among species of the E. ingae complex.

Biogeographic Scenarios—The new molecular data also permit an examination of the biogeographic relationships among species of Erigeron in the archipelago, particularly regarding the populational separation of E. fernandezianus on both islands. As a general perspective, it seems extremely probable that the first immigrant of the genus successfully colonized and became established on the younger and more remote island, mainly because this is where the concentration of species diversity presently resides. This is certainly not the simplest explanation, however, because Robinson Crusoe Island was available for colonization at least two million years earlier, and it is also much closer (181 km) to the mainland. It would not have been impossible, obviously, for the progenitor of E. fernandezianus to have arrived first on Robinson Crusoe, speciated anagenetically, and then served as the progenitor for speciation of all the other endemic species on the younger island. Several facts argue against this alternative hypothesis, however. It would seem extremely odd that after arrival on Robinson Crusoe, the early populations of Erigeron would not have radiated on this island, which probably would have been larger and more ecologically diverse at its origin (Stuessy et al. 1998). This has occurred, in fact, with Dendroseris and Robinsonia with eight and seven endemic species, respectively, on Robinson Crusoe Island and both also in Asteraceae (Crawford et al. 1998). These genera also have three and one species, respectively, on Alejandro Selkirk Island (the younger island), but all these have originated anagenetically, i.e. without radiation. The three species in Dendroseris each have been derived from separate subgenera (Crawford et al. 1992; Crawford et al. 1998). Returning to the point, it would seem odd that the initial colonizer of Erigeron managed to again disperse to the younger island and only there radiate. Having separate introductions to the islands also seems unlikely because of the close genetic tie between populations on Alejandro Selkirk and those on Robinson Crusoe.

Other scenarios might be that Erigeron simply did not arrive to Robinson Crusoe Island until after several million years, or that earlier colonizations did not survive, or even that human impact has eliminated traces of this earlier arrival. Arguing against these hypotheses, however, is that less genetic diversity exists among all populations sampled on the older island in comparison to all those on the younger island (Table 2). One would expect that refugial populations on the older island might harbor more genetic diversity, but this is clearly not the case. The populations on the older island, therefore, may be reflecting results of a true founder effect after back migration from the younger island, perhaps even during historical time. Suggestive of this possibility is that populations of E. fernandezianus on the older island tend to be concentrated along the trails and in plant assemblages of aliens replacing native vegetation (i.e. disturbed areas; pers. observ.), whereas on the younger island they appear on steep rock walls in the canyons and ravines (Greimler et al. 2013). Taking all facts into consideration, it seems likely, therefore, that the genus colonized and successfully established preferentially on the younger island, rather than the usual biogeographic pattern in the archipelago of arriving first on the older island.

Erigeron in the Juan Fernández Archipelago adds another exception to the well-known “progression rule” (Funk and Wagner 1995a), whereby a colonist to an oceanic archipelago normally arrives first and speciates on the oldest island, followed by dispersal to and divergence on younger islands as they arise geologically. Numerous examples of this rule have been documented, and the most instructive have come from the Hawaiian Islands (Wagner and Funk 1995). Despite the prevalence of examples that conform to this rule, however, there are exceptions, e.g. Clermontia (Campanulaceae), and Kokia (Malvaceae). Lammers (1995) showed clearly that Clermontia evolved first on the younger islands, perhaps even on Hawai'i, and subsequently dispersed to and diverged on the older ones. Kokia kauaiensis is presently restricted to Kaua'i, but it apparently originated from a back-dispersal from the younger island of Hawai'i (Funk and Wagner 1995b). Back-dispersal is also known to have occurred infrequently in other biogeographic contexts, such as from the Canary Islands. Species are known in genera (e.g. Aeonium, Crassulaceae) that have been derived from northwestern Africa, radiated in the Canary Islands, and then subsequently back-dispersed to the African continent with additional divergence (Santos 1999).

Genetics of Speciation—In general, studies on the genetics of oceanic island taxa have revealed that species originating by phyletic radiation have marked morphological differences but only small genetic differences (Crawford and Stuessy 1997; Frankham 1997). Examples of well-studied groups that have shown this pattern are the Hawaiian Island silverswords (Asteraceae; Baldwin 2003), the Canary Islands Echium (Boraginaceae; Böhle et al. 1996), and Robinsonia (Asteraceae; Takayama et al. 2015a) of the Juan Fernández Islands. Studies on anagenetically derived species, on the other hand, have revealed a higher level of genetic diversity among populations. Investigations on this process have examined species of Dystaenia (Apiaceae; Pfosser et al. 2005) and Acer (Aceraceae; Takayama et al. 2012b, c) in Ullung Island, Korea, and species in Myrceugenia (Myrtaceae; López-Sepúlveda et al. 2013b) and Drimys (Winteraceae; López-Sepúlveda et al. 2015) of the Juan Fernández Archipelago. These considerations have led to a model of genetic change within species originating via these two avenues and over the ontogeny of an oceanic archipelago (Stuessy 2007). In brief, both lineages harbor approximately the same amounts of genetic diversity over time (Takayama et al. 2015b), but cladogenetically originated species, due to their partitioning of the original genetic material into different populations and eventually taxa, each contains lower levels of diversity than the single anagenetically originated species that accumulates variation through mutation, recombination, and selection and/or drift over time.

The present study examines the genetic consequences of cladogenetic speciation during radiation of Erigeron on the younger island (Alejandro Selkirk). The advantage of this particular system is that the process must have occurred rapidly, as the island is only one to two million years old. Furthermore, as the island is relatively young, it should have suffered less habitat modification from its original condition than has occurred on the older and more disturbed island (Stuessy et al. 1998). For understanding radiation within the archipelago, therefore, the endemic species of Erigeron offer the best possible system for revealing the genetic consequences of such a process. Molecular population studies have just been completed on phyletic radiation within Robinsonia (Asteraceae; Takayama et al. 2015a), but this genus is mostly confined to the older island. Studies on Erigeron, therefore, provide a chance to compare the genetic consequences of radiation on the two islands of differing ages.

Robinsonia consists of eight species, with seven confined to Robinson Crusoe Island (Takayama et al. 2015a) and one, R. masafuerae, having originated anagenetically on the younger island from R. evenia. Six species have been examined with AFLPs and SSRs in a manner similar to the results presented here for Erigeron. The basic difference between the genera is that there is more genetic divergence among species in Robinsonia than among those in Erigeron. The average genetic differentiation among species of the former is 0.403 with AFLPs and 0.521 with SSRs, whereas among species of the latter (with the populations in E. fernandezianus being considered as two groups), it is 0.279 with AFLPs and 0.428 with SSRs. This parallels the morphology, whereby more character divergence exists among species of Robinsonia than among species of Erigeron (e.g. the striking difference between R. gracilis and R. gayana). The reason for these narrower vs. broader character profiles may relate to the age of the islands and changes that have occurred within them. In particular, the E. ingae complex suggests that segregation for morphological and genetic features is occurring, but no ecological partitioning has yet developed. In Robinsonia on the older island, the genetic differences are much clearer and the genetic diversity within each species is lower. This may be due to the dual factors of older island (more time for divergence to take place) and natural loss of habitat due to subsidence and erosion, plus the overlaying human interventions during the past four centuries (Wester 1991).

Acknowledgments.

Thanks are given to: Sr. Iván Leiva, Chief of the Robinson Crusoe Islands National Park, who provided generous logistic and facility support during our expeditions to Robinson Crusoe and Alejandro Selkirk Islands; Corporación National Forestal (CONAF) for permission to carry out research in the islands; the CONAF guides, in particular Jorge Angulo, Danilo Arredondo, Danilo Arredondo, Jr., Oscar Chamorro, Michael González, Bernardo López, Eduardo Paredes, Ramón Schiller, and Manuel Tobar, who made it possible to collect samples efficiently and safely; the Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Research Abroad, grant 526 to K. Takayama; The Austrian Science Fund (FWF) for support of field and laboratory work under grant P21723-B16 to T. Stuessy; and the Armada of Chile for logistic help in transporting food and other supplies from the continent to the archipelago. The investigations described in this paper form part of an Open Partnership Joint Project of the JSPS Bilateral Joint Research program.

Literature Cited

1.

B. G. Baldwin 2003. A phylogenetic perspective on the origin and evolution of Madiinae. Pp. 193–228 in Tarweeds & silverswords: Evolution of the Madiinae (Asteraceae). eds. S. Carlquist , B. G. Baldwin , and G. D. Carr . St. Louis:Missouri Botanical Garden Press. Google Scholar

2.

U.-R. Böhle , H. H. Hilger , and W. F. Martin . 1996. Island colonization and evolution of the insular woody habit in Echium L. (Boraginaceae). Proceedings of the National Academy of Sciences USA 93: 11740–11745. Google Scholar

3.

A. Bonin , E. Bellemain , P. Bronken Eidesen , F. Pompanon , C. Brochmann , and P. Taberlet . 2004. How to track and assess genotyping errors in population genetics studies. Molecular Ecology 13: 3261–3273. Google Scholar

4.

I. Boutin-Ganache , M. Raposo , M. Raymond , and C. F. Deschepper . 2001. M13-tailed primers improve the readability and usability of microsatellite analyses performed with two different allele-sizing methods. BioTechniques 31: 24–28. Google Scholar

5.

D. Bramwell and J. Caujapé-Castells . 2011. The biology of island floras. Cambridge: Cambridge University Press. Google Scholar

6.

J. F. Y. Brookfield 1996. A simple new method for estimating null allele frequency from heterozygote deficiency. Molecular Ecology 5: 453–455. Google Scholar

7.

D. Bryant and V. Moulton . 2004. Neighbor-net: An agglomerative method for the construction of phylogenetic networks. Molecular Biology and Evolution 21: 255–265. Google Scholar

8.

G. D. Carr 1998. Chromosome evolution and speciation in Hawaiian flowering plants. Pp. 5–48 in Evolution and speciation of island plants. eds. T. F. Stuessy and M. Ono . Cambridge: Cambridge University Press. Google Scholar

9.

D. J. Crawford , T. Sang , T. F. Stuessy , S.-C. Kim , and M. Silva O. 1998. Dendroseris (Asteraceae: Lactuceae) and Robinsonia (Asteraceae: Senecioneae) on the Juan Fernandez Islands: Similarities and differences in biology and phylogeny. Pp. 97–119 in Evolution and speciation of island plants. eds. T. F. Stuessy and M. Ono . Cambridge: Cambridge University Press. Google Scholar

10.

D. J. Crawford and T. F. Stuessy . 1997. Plant speciation on oceanic islands. Pp. 249–267 in Evolution and diversification of land plants. eds. K. Iwatsuki and P. H. Raven . Tokyo: Springer. Google Scholar

11.

D. J. Crawford , T. F. Stuessy , M. B. Cosner , D. W. Haines , M. Silva , and M. Baeza . 1992. Evolution of the genus Dendroseris (Asteraceae: Lactuceae) on the Juan Fernandez Islands: Evidence from chloroplast and ribosomal DNA. Systematic Botany 17: 676–682. Google Scholar

12.

C. D. Curtin , J. R. Bellon , P. A. Henschke , P. W. Godden , and M. A. De Barros Lopes . 2007. Genetic diversity of Dekkera bruxellensis yeasts isolated from Australian wineries. FEMS Yeast Research 7: 471–481. Google Scholar

13.

D. C. D. De Jong and G. L. Nesom . 1996. Chromosome counts in Mexican Erigeron. Madroño 43: 384–392. Google Scholar

14.

L. Diers 1961. Der Anteil an Polyploiden in den Vegetations-gurteln der Westkordillere Perus. Zeitschrift für Botanik 49: 437–488. Google Scholar

15.

D. A. Earl and B. M. von Holdt . 2012. STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources 4: 359–361. Google Scholar

16.

D. Ehrich 2006. AFLPDAT: A collection of R functions for convenient handling of AFLP data. Molecular Ecology Notes 6: 603–604. Google Scholar

17.

B. C. Emerson 2002. Evolution on oceanic islands: Molecular phylogenetic approaches to understanding pattern and process. Molecular Ecology 11: 951–966. Google Scholar

18.

G. Evanno , S. Regnau , and J. Goudet . 2005. Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Molecular Ecology 14: 2611–2620. Google Scholar

19.

L. Excoffier , G. Laval , and S. Schneider . 2005. Arlequin (version 3.0): An integrated software package for population genetics data analysis. Evolutionary Bioinformatics 1: 47–50. Google Scholar

20.

D. Falush , M. Stephens , and J. K. Pritchard . 2003. Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies. Genetics 164: 1567–1587. Google Scholar

21.

D. Falush , M. Stephens , and J. K. Pritchard . 2007. Inference of population structure using multilocus genotype data: Dominant markers and null alleles. Molecular Ecology Notes 7: 574–578. Google Scholar

22.

R. Frankham 1997. Do island populations have less genetic variation than mainland populations? Heredity 78: 311–327. Google Scholar

23.

V. A. Funk and W. L. Wagner . 1995a. Biogeographic patterns in the Hawaiian Islands. Pp. 379–419 in Hawaiian biogeography: Evolution on a hot spot archipelago. eds. W. L. Wagner and V. A. Funk . Washington, D. C.: Smithsonian Institution Press. Google Scholar

24.

V. A. Funk and W. L. Wagner . 1995b. Biogeography of seven ancient Hawaiian plant lineages. Pp. 160–194 in Hawaiian biogeography: Evolution on a hot spot archipelago. eds. W. L. Wagner and V. A. Funk . Washington, D. C.: Smithsonian Institution Press. Google Scholar

25.

G. Gleiser , M. Verdu , J. G. Segarra-Moragues , S. C. González-Martínez , and J. R. Pannell . 2008. Diassortative mating, sexual specialization, and the evolution of gender dimorphism in heterodichogamous Acer opalus. Evolution 62: 1676–1688. Google Scholar

26.

J. Goudet 1995. FSTAT (Version 1.2): A computer program to calculate F-statistics. The Journal of Heredity 86: 485–486. Google Scholar

27.

J. Greimler , P. López-Sepúlveda , K. Reiter , C. Baeza , P. Peñailillo , E. Ruiz , P. Novoa , A. Gatica , and T. F. Stuessy . 2013. Vegetation of Alejandro Selkirk Island (Isla Masafuera), Juan Fernández Archipelago, Chile. Pacific Science 67: 267–282. Google Scholar

28.

M. J. Hubisz , D. Falush , M. Stephens , and J. K. Pritchard . 2009. Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources 9: 1322–1332. Google Scholar

29.

S. H. Hurlbert 1971. The nonconcept of species diversity: A critique and alternative parameters. Ecology 52: 577–586. Google Scholar

30.

D. H. Huson and D. Bryant . 2006. Application of phylogenetic networks in evolutionary studies. Molecular Biology and Evolution 23: 254–267. Google Scholar

31.

R. K. Jansen and T. F. Stuessy . 1980. Chromosome counts of Compositae from Latin America. American Journal of Botany 67: 585–594. Google Scholar

32.

S. Kikuchi , M. Shibata , H. Tanaka , H. Yoshimaru , and K. Niiyama . 2009. Analysis of the disassortative mating pattern in a heterodichogamous plant, Acer mono Maxim. using microsatellite markers. Plant Ecology 204: 43–54. Google Scholar

33.

T. G. Lammers 1995. Patterns of speciation and biogeography in Clermontia (Campanulaceae, Lobelioideae). Pp. 338–362 in Hawaiian biogeography: Evolution on a hot spot archipelago. eds. W. L. Wagner and V. A. Funk . Washington, D. C.: Smithsonian Institution Press. Google Scholar

34.

O. Langella 1999. Populations, 1.2.30. available at  http://www.bioinformatics.org/~tryphon/populations/Google Scholar

35.

P. López-Sepúlveda , K. Takayama , J. Greimler , D. J. Crawford , P. Peñailillo , M. Baeza , E. Ruiz , G. Kohl , K. Tremetsberger , A. Gatica , L. Letelier , P. Novoa , J. Novak , and T. F. Stuessy . 2015. Progressivemigration and anagenesis in Drimys confertifolia of Juan Fernández Archipelago, Chile. Journal of Plant Research 128: 73–90. Google Scholar

36.

P. López-Sepúlveda , K. Tremetsberger , M. A. Ortiz , C. M. Baeza , P. Peñailillo , and T. F. Stuessy . 2013a. Radiation of the Hypochaeris apargioides complex (Asteraceae: Cichorieae) of southern South America. Taxon 62: 550–563. Google Scholar

37.

P. López-Sepúlveda , K. Takayama , J. Greimler , D. J. Crawford , P. Peñailillo , M. Baeza , E. Ruiz , G. Kohl , K. Tremetsberger , A. Gatica , L. Letelier , P. Novoa , J. Novak , and T. F. Stuessy . 2013b. Genetic variation (AFLPs and nuclear microsatellites) in two anagenetically derived endemic species of Myrceugenia (Myrtaceae) on the Juan Fernández Islands, Chile. American Journal of Botany 100: 722–734. Google Scholar

38.

M. Nei , F. Tajima , and Y. Tateno . 1983. Accuracy of estimated phylogenetic trees from molecular data II. Gene frequency data. Journal of Molecular Evolution 19: 153–170. Google Scholar

39.

G. L. Nesom 1989. Infrageneric taxonomy of New World Erigeron (Compositae: Astereae). Phytologia 67: 67–93. Google Scholar

40.

R. D. Noyes 2000. Biogeographical and evolutionary insights on Erigeron and allies (Asteraceae) from ITS sequence data. Plant Systematics and Evolution 220: 93–114. Google Scholar

41.

R. Peakall and P. E. Smouse . 2006. GENALEX 6: Genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288–295. Google Scholar

42.

M. Pfosser , G. Jakubowsky , P.M. Schlüter , T. Fer , H. Kato , T. F. Stuessy , and B.-Y. Sun . 2005. Evolution of Dystaenia takesimana (Apiaceae), endemic to Ullung Island, Korea. Plant Systematics and Evolution 256: 159–170. Google Scholar

43.

J. K. Pritchard , M. Stephens , and P. Donnelly . 2000. Inference of population structure using multilocus genotype data. Genetics 155: 945–959. Google Scholar

44.

M. Raymond and F. Rousset . 1995. GENEPOP (version 1.2): Population genetics software for exact tests and ecumenism. The Journal of Heredity 86: 248–249. Google Scholar

45.

R. W. Sanders , T. F. Stuessy , and R. Rodríguez . 1983. Chromosome numbers from the flora of the Juan Fernandez Islands. American Journal of Botany 70: 799–810. Google Scholar

46.

A. Santos 1999. Origin y evolución de la flora Canaria. Pp. 107–129 in Ecología y cultura en Canarias. eds. J. M. Fernández-Palacios , J. J. Bacallado , and J. A. Belmonte . Tenerife: Organismo Autónomo de Museos y Centros. Google Scholar

47.

D. Schluter 2000. The ecology of adaptive radiation. Oxford: Oxford University Press. Google Scholar

48.

D. Schluter 2001. Ecology and the origin of species. Trends in Ecology & Evolution 16: 372–380. Google Scholar

49.

P. M. Schlüter and S. A. Harris . 2006. Analysis of multilocus fingerprintng data sets containing missing data. Molecular Ecology Notes 6: 569–572. Google Scholar

50.

P. Schönswetter and A. Tribsch . 2005. Vicariance and dispersal in the alpine perennial Bupleurum stellatum L. (Apiaceae). Taxon 54: 725–732. Google Scholar

51.

O. T. Solbrig 1962. The South American species of Erigeron. Contributions from the Gray Herbarium 191: 3–79. Google Scholar

52.

O. T. Solbrig , L. C. Anderson , D. W. Kyhos , P. H. Raven , and L. Rudenberg . 1964. Chromosome numbers in Compositae. V. Astereae. II. American Journal of Botany 51: 513–519. Google Scholar

53.

D. M. Spooner , T. F. Stuessy , D. J. Crawford , and M. Silva . 1987. Chromosome numbers from the flora of the Juan Fernandez Islands. II. Rhodora 89: 351–356. Google Scholar

54.

T. F. Stuessy 1995. Juan Fernández Islands. Pp. 565–568 in Centres of plant diversity: A guide and strategy for their conservation. eds. S. D. Davis , V. H. Heywood , and A. C. Hamilton . Cambridge: IUCN Publications Unit. Google Scholar

55.

T. F. Stuessy 2007. Evolution of specific and genetic diversity during ontogeny of island floras: The importance of understanding process for interpreting island biogeographic patterns. Pp. 117–133 in Biogeography in a changing world. eds. M. C. Ebach and R. S. Tangney . Boca Raton: CRC Press. Google Scholar

56.

T. F. Stuessy and D. J. Crawford . 1998. Chromosomal stasis during speciation in angiosperms of oceanic islands. Pp. 307–324 in Evolution and speciation of island plants. eds. T. F. Stuessy and M. Ono . Cambridge: Cambridge University Press. Google Scholar

57.

T. F. Stuessy , D. J. Crawford , and C. Marticorena . 1990. Patterns of phylogeny in the endemic vascular flora of the Juan Fernandez Islands, Chile. Systematic Botany 15: 338–346. Google Scholar

58.

T. F. Stuessy , D. J. Crawford , C. Marticorena , and R. Rodríguez . 1998. Island biogeography of angiosperms of the Juan Fernández archipelago. Pp. 121–138 in Evolution and speciation of island plants. eds. T. F. Stuessy and M. Ono . Cambridge: Cambridge University Press. Google Scholar

59.

T. F. Stuessy , K. A. Foland , J. F. Sutter , R. W. Sanders , and M. Silva . 1984. Botanical and geological significance of potassium-argon dates from the Juan Fernandez Islands. Science 225: 49–51. Google Scholar

60.

T. F. Stuessy , G. Jakubowsky , R. Salguero-Gómez , M. Pfosser , P. M. Schluter , T. Fer , B.-Y. Sun , and H. Kato . 2006. Anagenetic evolution in island plants. Journal of Biogeography 33: 1259–1265. Google Scholar

61.

T. F. Stuessy , E. Ruiz , D. J. Crawford , and K. Tremetsberger . 2005. Testing degrees of genetic divergence and populational variation in oceanic island archipelagos: Juan Fernández as a model system. Nova Acta Leopoldina N.F. 92(342): 147–165. Google Scholar

62.

B.-Y. Sun , T. F. Stuessy , and D. J. Crawford . 1990. Chromosome counts from the flora of the Juan Fernandez Islands, Chile. III. Pacific Science 44: 258–264. Google Scholar

63.

K. Takayama , P. López-Sepúlveda , J. Greimler , D. J. Crawford , P. Peñailillo , M. Baeza , E. Ruiz , G. Kohl , K. Tremetsberger , A. Gatica , L. Letelier , P. Novoa , J. Novak , and T. F. Stuessy . 2015a. Relationships and genetic consequence of contrasting modes of speciation among endemic species of Robinsonia (Asteraceae, Senecioneae) of the Juan Fernández Archipelago, Chile, based on AFLPs and SSRs. The New Phytologist 205: 415–428. Google Scholar

64.

K. Takayama , P. López-Sepúlveda , J. Greimler , D. J. Crawford , P. Peñailillo , M. Baeza , E. Ruiz , G. Kohl , K. Tremetsberger , A. Gatica , L. Letelier , P. Novoa , J. Novak , and T. F. Stuessy . 2015b. Genetic consequences of cladogenetic vs. anagenetic speciation in endemic plants of oceanic islands. AoB Plants doi:  10.1093/aobpla/plv102Google Scholar

65.

K. Takayama , P. López-Sepúlveda , G. Kohl , J. Novak , and T. F. Stuessy . 2012a. Development of microsatellite markers in species of Erigeron (Asteraceae) endemic to the Juan Fernández Archipelago, Chile. American Journal of Botany Primer Notes e1–e3. Doi: 10.3732/ajb.1200218Google Scholar

66.

K. Takayama , B.-Y. Sun , and T. F. Stuessy . 2012b. Genetic consequences of anagenetic speciation in Acer okamotoanum (Sapindaceae) on Ullung Island, Korea. Annals of Botany 109: 321–330. Google Scholar

67.

K. Takayama , B.-Y. Sun , and T. F. Stuessy . 2012c. Anagenetic speciation in Ullung Island, Korea: Genetic diversity and structure in the island endemic species, Acer takesimense (Sapindaceae). Journal of Plant Research 126: 323–333. Google Scholar

68.

K. Tremetsberger , T. F. Stuessy , Y.-P. Guo , C. M. Baeza , H. Weiss , and R. M. Samuel . 2003. Amplified fragment length polymorphism (AFLP) variation within and among populations of Hypochaeris acaulis (Asteraceae) of Andean southern South America. Taxon 52: 237–245. Google Scholar

69.

H. Valdebenito , T. F. Stuessy , D. J. Crawford , and M. Silva . 1992. Evolution of Erigeron (Compositae) in the Juan Fernandez Islands, Chile. Systematic Botany 17: 470–480. Google Scholar

70.

C. van Oosterhout , W. F. Hutchinson , D. P. M. Wills , and P. Shipley . 2004. MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4: 535–538. Google Scholar

71.

P. Vos , R. Hogers , M. Bleeker , M. Reijans , T. van de Lee , M. Hornes , A. Friters , J. Pot , J. Paleman , M. Kuiper , and M. Zabeau . 1995. AFLP: A new technique for DNA fingerprinting. Nucleic Acids Research 23: 4407–4414. Google Scholar

72.

W. L. Wagner and V.A. Funk , eds. 1995. Hawaiian biogeography: Evolution on a hot spot archipelago. Washington, D. C.: Smithsonian Institution Press. Google Scholar

73.

B. S. Weir and C. C. Cockerham . 1984. Estimating F-statistics for the analysis of population structure. Evolution 38: 1358–1370. Google Scholar

74.

L. Wester 1991. Invasions and extinctions on Masatierra (Juan Fernández Islands): A review of early historical evidence. Journal of Historical Geography 17: 18–34. Google Scholar

75.

R. J. Whittaker and J. M. Fernández-Palacios . 2007. Island biogeography: Ecology, evolution, and conservation , ed. 2. Oxford:OxfordUniversity Press. Google Scholar

76.

R. L. Woodward 1969. Robinson Crusoe's Island: A history of the Juan Fernandez Islands. Chapel Hill: University of North Carolina Press. Google Scholar

77.

J. A. Wooten and L. R. Tolley-Jordan . 2009. Validation of phylogenetic signals in amplified fragment length data: testing the utility and reliability in closely related taxa. BMC Research Notes 2: 26. Google Scholar
© Copyright 2015 by the American Society of Plant Taxonomists
P. López-Sepúlveda, K. Takayama, J. Greimler, D. J. Crawford, P. Peñailillo, M. Baeza, E. Ruiz, G. Kohl, K. Tremetsberger, A. Gatica, L. Letelier, P. Novoa, J. Novak, and T. F. Stuessy "Speciation and Biogeography of Erigeron (Asteraceae) in the Juan Fernández Archipelago, Chile, Based on AFLPs and SSRs," Systematic Botany 40(3), 888-899, (22 September 2015). https://doi.org/10.1600/036364415X689311
Published: 22 September 2015
JOURNAL ARTICLE
12 PAGES


SHARE
ARTICLE IMPACT
Back to Top