Open Access

Evolution, ecology and systematics of Soldanella (Primulaceae) in the southern Apennines (Italy)

  • Alessandro Bellino1Email author,
  • Leonardo Bellino2,
  • Daniela Baldantoni1 and
  • Antonio Saracino2
BMC Evolutionary Biology201515:158

Received: 14 March 2015

Accepted: 24 July 2015

Published: 11 August 2015



The populations of Soldanella (Primulaceae) of the southern Apennines (Italy) are unique within the genus for their distribution and ecology. Their highly fragmented distribution range, with three main metapopulations on some of the highest mountains (Gelbison, Sila and Aspromonte massifs) of the area, poses intriguing questions about their evolutionary history and biogeography, and about the possibility of local endemisms.

Aims and methods

In order to clarify the phylogeny and biogeography of the three metapopulations of Soldanella in the southern Apennines, attributed to S. calabrella to date, and to identify possible local endemisms, a comparative approach based on the study of molecular, morphological and ecological characteristics of the populations was employed. Specifically, one nuclear (total ITS) and two plastid (rbcL and trnL) markers were used for the phylogenetic analyses, performed through both maximum likelihood and Bayesian techniques. Among the morphological features, the glandular hair and leaf biometric traits were analysed, and the environment in which the populations grew was characterised for altitude, forest canopy composition and soil pH, C, N and organic matter.

Results and conclusions

Our findings demonstrate that the lineage of Soldanella of southern Italy diverged from the Carpathians lineage during the Middle Pleistocene, and underwent an evolutionary radiation during the Late Pleistocene. The populations of the Sila and Aspromonte massifs diverged from the populations of the Gelbison massif around 380000 years ago and are probably undergoing a progressive differentiation due to their isolation. The populations on the Gelbison massif, moreover, have different morphological features from those of the Sila and Aspromonte massifs and a different ecological niche. The molecular, morphological and ecological data clearly demonstrate that the metapopulation of Soldanella on the Gelbison massif belongs to a new taxonomic unit at the species level, which we name Soldanella sacra A. & L. Bellino from the name of the massif on which it was discovered, the “Holy Mountain”.


Soldanella is a small genus of European orophytes belonging to the Primulaceae family. The genus takes its name from the round and cordate shape of the leaves, that resemble a small coin (from the Latin soldo = “coin” [1]) and includes, according to the most recent taxonomic and nomenclature revisions [2, 3], 16 species and 4 subspecies. Later, however, Niederle [4] described a new species from the Tatra Mts, S. tatricola. The distribution range of the genus covers all the major European mountain chains but most of the species of Soldanella are endemic to very limited areas, often comprising a single mountain chain or massif [5]. From an evolutionary point of view, Soldanella forms a monophyletic clade with the genera Hottonia and Omphalogramma [6, 7] and, according to Zhang and co-workers [5], underwent an evolutionary radiation during the Quaternary, after the ancestor of the genus, probably close to S. villosa Darracq., came to Europe from the East.

Although the genus is well circumscribed within the Primulaceae in relation to the floral traits, the species delimitation is often uncertain, due to the remarkable homogeneity of the morphology and the ecology of many species. On a morphological basis, the genus was subdivided into two sections, namely sect. Soldanella Pawlowska (ex. sect. Crateriflores (Borbás) Knuth) and sect. Tubiflores (Borbás) Knuth, while on an ecological basis it is generally classified into “montane” and “alpine” species, roughly matching the morphological subdivision [2, 3]. Recently however, the paraphyly of sect. Soldanella with respect to a polyphyletic sect. Tubiflores and the independent evolution of floral reduction in the species of the latter were demonstrated [5, 8].

According to the extensive revision of the genus by Zhang and Kadereit [2], four species of Soldanella are found in Italy, one of which with two subspecies: S. alpina ssp. alpina L., S. calabrella Kress, S. pusilla ssp. pusilla Baumg., S. minima ssp. minima Hoppe and S. mimima ssp. samnitica Cristofolini et Pignatti. The distribution of the Italian species is widely discontinuous. With the exception of S. calabrella, these species are mainly distributed over the Alps and some of the highest mountains of the northern and central Apennines. Conversely, S. calabrella is the unique species present in the southern Apennines, with two main distribution areas on the Sila and Aspromonte massifs (Calabrian Apennines), and appears to be phylogenetically close to the species of the Carpathians based on ITS sequencing [2, 5].

Recently, a population of Soldanella sp. was discovered on the Gelbison massif, in the Campanian Apennines, in southern Italy, and attributed to S. calabrella by Azzella and Burrascano [9]. The attribution of the population on the Gelbison massif to S. calabrella, was based on the observation of the glandular hairs, that are considered the main differential trait among the species of Soldanella [2]. This report extends the distribution range of the species, which can no longer be considered to be endemic of the Calabrian Mts.

The geographical isolation among the populations of Soldanella in southern Italy, however, poses intriguing questions about their phylogenetic relationships and about the possibility of vicariance processes. Moreover, the Gelbison massif has different geological characteristics [10] and vegetation types [11] as compared to the Calabrian mountains, which could have favoured the differentiation of local endemisms. Based on these considerations, we hypothesise that the populations of the Gelbison massif and those of the Sila and Aspromonte massifs could constitute different evolutionary and taxonomic units. As such, we will refer to the populations analysed generically as Soldanella sp.

With the aim to clarify the evolution of the populations of Soldanella sp. from southern Italy, identify possible local endemisms and provide a detailed analysis of their ecology and systematics, we studied 15 populations from the three main distribution areas of the genus in southern Italy, using a comparative approach based on molecular, morphometric and ecological traits. Due to the availability of the ITS sequences for all the species of the genus [5, 8] with the exception of S. tatricola Niederle, we thoroughly revised them in a phylogeographical framework, in order to draw a scenario for the evolutionary history of Soldanella in Europe, with a special focus on the early diversification events and on the evolution of the southern Apennines populations. Moreover, despite the numerous potential threats to the persistence of the southern Apennines Soldanella sp. populations, related to the restricted areas to which they belong, no official assessment of their conservation status has been provided yet, not even for the widely known S. calabrella populations of the Calabrian Apennines. To partially fill this gap, we provided an estimation of the conservation status and priorities for the recently discovered metapopulation of the Gelbison massif, suggesting possible strategies for its management.



All the populations of Soldanella analysed (Fig. 1) were associated to wetlands, differing in their characteristics across the distribution range. The habitat of the populations on the Gelbison massif is represented by resurgences and related perennial brooks from 840 to 1400 m a.s.l. (Table 1), where plants mainly colonise the brook bed and its sides within a range of 30 cm from water. The brook sectors colonised flow under open canopies of Alnus cordata Loisel., Alnus glutinosa L., Castanea sativa Miller and sometimes Fagus sylvatica L. (Table 1). Conversely, the populations on the Sila massif mainly colonised water meadows, always under F. sylvatica and Abies alba Miller canopies or in open areas, from 1670 to 1780 m a.s.l. (Table 1). Similarly, the populations on the Aspromonte massif colonised water meadows or stream sides, mainly on steep slopes and within a range of approximately 4 m from water. The populations were distributed under continuous and discontinuous F. sylvatica and A. alba canopies, from 1400 to 1835 m a.s.l. (Table 1).
Fig. 1

Studied populations. Satellite image of the southern Apennines, showing the three massifs from which the populations of Soldanella sp. were studied. The three subfigures show the distribution of the sampled populations on the Gelbison (left), the Sila (center) and the Aspromonte (right) massifs. Populations marked in yellow on the Gelbison massif were not included in the present study

Table 1

Geographical location, altitude and tree canopy composition of the 15 studied populations of Soldanella sp.





Stand composition


(Degree North)

(Degree East)

(m a.s.l.)




40°12’ 49.7"

15°18’ 55.7"


C, Ac, Ag



40°12’ 49.7"

15°18’ 58.5"


C, Ac



40°13’ 23.5"

15°18’ 50.5"


C, Ac, Ag



40°13’ 46.0"

15°18’ 33.3"


C, Ac, Ag



40°13’ 50.1"

15°18’ 41.0"


C, Ac, Ag



40°12’ 32.2"

15°19’ 0.6"


Ac, Ag



40°12’ 31.4"

15°20’ 43.7"





40°13’ 0.0"

15°20’ 28.6"





39°18’ 55.7"

16°24’ 11.6"


F, A



39°17’ 28.3"

16°26’ 28.0"





39°17’ 21.7"

16°26’ 11.0"





39°17’ 16.0"

16°26’ 5.6"


F, A



39°18’ 23.9"

16°25’ 48.4"





38°8’ 38.0"

15°50’ 27.2"


F, A



38°9’ 30.8"

15°54’ 52.1"


F, A

A Abies alba, Ac Alnus cordata, Ag Alnus glutinosa, C Castanea sativa, F Fagus sylvatica, O water meadow without canopy cover

NMDS analysis based on the ecological data highlighted a clear cut differentiation between the metapopulation of the Gelbison massif and those of the Sila and Aspromonte massifs, of which confidence ellipses adjoin each other (Fig. 2). All variables, particularly A. cordata, A. alba, soil pH and site elevation, contribute to the differentiation of the populations from the three provenances. In relation to the soil rhizosphere characteristics and site elevation, the populations on the Gelbison massif colonised soils at lower (P<0.001) altitude, with higher (P<0.001) pH and lower (P<0.05) C and organic matter than the populations on the Sila and Aspromonte massifs, of which soils did not significantly differ for any parameter analysed.
Fig. 2

Ecological differentiation among the studied populations. Non-metric Multidimensional Scaling based on the ecological data. Circles, squares and diamonds represent the observations belonging to the Gelbison, the Sila and the Aspromonte massifs, respectively. Confidence ellipses (for α = 0.05) for the three provenances (dotted-dashed: Gelbison; dashed: Sila; solid: Aspromonte) are also shown. Aa: Abies alba, Aca: Acer cappadocicum, Aco: Alnus cordata, Ag: Alnus glutinosa, Ca: Corylus avellana, Cb: Carpinus betulus, Cm: Crataegus monogyna, Cs: Castanea sativa, Fo: Fraxinus ornus, Fs: Fagus sylvatica, Ia: Ilex aquifolium, Jr: Juglans regia, Sc: Salix caprea, Ug: Ulmus glabra, C: soil carbon, N: soil nitrogen, OM: soil organic matter, pH: soil pH, h: site elevation

The phenology also differed among the populations, with a shift in the flowering period of about 1 month. The flowering period of the populations of Soldanella on the Gelbison massif extended from April to May (preceding foliation of canopy of the broad-leaved trees by about 1 month) whereas the populations on the Sila and Aspromonte massifs flowered from the end of May to July. Seed dispersal took place from June to July on the Gelbison massif and approximately 1 month later in the Calabrian Apennines.

Molecular analyses

The rbcL-amplified region of Soldanella sp. was 1267 bp long in all the samples. Two haplotypes were observed among the 45 sequences analysed. The populations from the Sila and the Aspromonte massifs showed the same sequence, whereas the populations from the Gelbison massif showed a transversion A <— > C at alignment position 960. The same transversion with respect to the populations of the Calabrian Apennines was shared by S. pusilla. For trnL, two haplotypes were observed among the 21 sequences analysed, with the same geographical distribution described for rbcL. The trnL-amplified region was 469 bp long for the haplotype of the Gelbison massif and 470 bp long for the haplotype of the Sila and Aspromonte massifs, due to the presence of a poly-A microsatellite being 10 bp long in the former and 11 bp long in the latters. In addition, the haplotype from the Gelbison massif showed a transition A <— > G at alignment position 427, and differentiated from the trnL sequence of S. pusilla uniquely by the length of the poly-A microsatellite, being 9 bp long in S. pusilla. Total ITS sequences were always 890 bp long and showed 4 different ribotypes, 1 for the populations of the Gelbison massif, 2 for the populations of the Sila massif and 1 for the populations of the Aspromonte massif. The ribotypes of the Gelbison and the Sila massifs showed a transition A <— > T at alignment position 149 with respect to the ribotype of the Aspromonte massif. The samples from the Sila massif, in addition, belonged to two ribotypes, one identical to the ribotype of the Gelbison massif and the other showing a transversion G <— > T at alignment position 240.

The multispecies coalescent model placed the haplotype from the Gelbison massif as the sister group of a cluster comprising the haplotypes from the Sila and Aspromonte massifs (Fig. 3). The mean age estimate of the Soldanella lineage was 20.21 My, 95 % HPD: 11.12 - 29.00 My, whereas for the evolutionary radiation of the genus it was 1.78 My, 95 % HPD: 0.46 - 3.24 My. The differentiation of the haplotype of the Gelbison massif from those of the Sila and Aspromonte massifs was dated to 0.38 My ago, 95 % HPD: 0.01 - 0.88 My (Fig. 3).
Fig. 3

Multispecies coalescent tree. Maximum credibility tree from the multispecies coalescent model based on the three markers analysed. The mean age estimates for each node are reported along with their 95 % HPD intervals as node bars. All the nodes have 100 % posterior support, with the exception of the clade comprising Soldanella sp. Sila and Soldanella sp. Aspromonte, that has 83.5 % posterior support. Axis scale is in million of years

ITS failed to differentiate among numerous species of Soldanella (Figs. 4 and 5). Overall, four main lineages were resolved: one containing the species of the southern Apennines and the others corresponding roughly to species of the i) Carpathians, ii) Balkans and iii) central Europe, Pyrenees, Alps and northern and middle Apennines (Fig. 6). The clades were poorly resolved at the species level, particularly those comprising the species of the Balkans and of the Alps and central Europe. The most notable exception is the clade comprising the species of Soldanella from the southern Apennines, which had support >75 % for all the internal nodes (Figs. 5 and 6). In particular, the ribotypes of the three metapopulations analysed were grouped into two sister groups, one comprising the ribotype of the Gelbison massif and one of the two of the Sila massif, and another group comprising the ribotypes of the Aspromonte massif and the other one of the Sila massif.
Fig. 4

ITS maximum likelihood tree. Maximum likelihood tree for the ITS data. Node labels indicate bootstrap support (shown only for values >50 %), scale bar indicates substitutions per site

Fig. 5

DensiTree plot for the ITS data. DensiTree plot for the calibrated Bayesian tree based on the ITS data. The consensus trees are drawn with the superimposition of the root canal. Node labels indicate posterior support (shown only for values >50 %). Axis scale is in million of years

Fig. 6

Soldanella evolution during the Pleistocene. Bayesian Maximum Credibility Tree for the ITS data. Branches are colored according to their most probable provenance (central Europe/Alps: yellow; Carpathians: cyan; Balkans: red; Pyrenees: blue; central Italy: green; southern Italy: purple). The 95 % HPD on node ages is reported only for nodes with posterior support >50 % (for node support please refer to Fig. 5). Axis scale is in million of years

The phylogeographical analysis based on the ITS data indicated central Europe (42.1 %) as the most probable root provenance of the Soldanella genus, although the Carpathians (30.5 %) had comparable support (Additional file 1: Video S1). Among the other provenances, the Balkans had a posterior probability (14.4 %) similar to the prior probability, whereas each of the other provenances had support <0.1 %. The populations of southern Italy diversified 1.09 My (95 % HPD: 0.41–1.84 My) from the lineage of the Carpathians (45.4 % support) (Fig. 6), although a European origin cannot be ruled out (29.7 % support). The Apennines were colonised in at least two different events: an early one reaching the southern Apennines, and a recent one from central Europe-Alps involving the colonisation of the central Apennines by S. minima ssp. samnitica (Additional file 1: Video S1).


The populations from the three provenances were clearly differentiated based on the biometrical traits of the glandular hairs. In particular, the glandular hairs from the populations of the Gelbison massif were shorter than those from the populations of the Calabrian Apennines, had longer and wider terminal cells as well as shorter basal and middle cells (Table 2, Fig. 7). The biometrical traits of the terminal cell differentiated also the populations of the Aspromonte massif from those of the Sila massif, with values in between the other two.
Fig. 7

Morphometric differentiation of the studied populations. Canonical Variates Analysis of the glandular hair (left) and leaf (right) biometrical traits. Circles, squares and diamonds represent the observations belonging to the Gelbison, the Sila and the Aspromonte massifs, respectively. Confidence circles (for α = 0.05) for the three provenances (dotted-dashed: Gelbison; dashed: Sila; solid: Aspromonte) are also shown. For the abbreviations, refer to the Methods section

Table 2

Mean ± SE of each environmental variable and biometrical trait analysed in the populations of the Gelbison, the Sila and the Aspromonte massifs







n = 23

n = 15

n = 11



6.96 ± 0.11 a

5.67 ± 0.11 b

5.98 ± 0.10 b


OM (% d.w.)

15.16 ± 2.49 a

31.65 ± 6.45 b

31.73 ± 3.77 b


Carbon (% d.w.)

7.54 ± 1.35 a

14.02 ± 3.33 b

15.31 ± 1.82 b


Nitrogen (% d.w.)

0.62 ± 0.10 a

0.93 ± 0.22 a

1.01 ± 0.11 a

Glandular hairs


n = 28

n = 28

n = 29


h (μm)

102.69 ± 2.83 a

109.76 ± 2.38 a

109.02 ± 3.73 a


tl (μm)

41.00 ± 0.93 a

29.15 ± 0.94 b

36.37 ± 1.09 c


twmax (μm)

35.05 ± 0.33 a

22.37 ± 0.36 b

31.46 ± 0.57 c


twmin (μm)

18.92 ± 0.25 a

13.75 ± 0.20 b

17.87 ± 0.34 c


ml (μm)

31.68 ± 0.98 a

34.14 ± 0.96 a

32.99 ± 1.25 a


mwmax (μm)

21.39 ± 0.32 a

17.55 ± 0.31 b

22.07 ± 0.49 ac


mwmin (μm)

18.53 ± 0.35 a

16.17 ± 0.22 b

19.91 ± 0.47 c


bl (μm)

28.13 ± 1.03 a

37.49 ± 1.17 b

35.38 ± 1.24 b


bwmax (μm)

20.52 ± 0.47 a

21.59 ± 0.37 ab

25.50 ± 0.67 b



n = 69

n = 48

n = 58


le (mm)

2.19 ± 0.09 a

1.38 ± 0.09 b

1.53 ± 0.05 b


lc (mm)

2.98 ± 0.11 a

1.89 ± 0.12 b

2.11 ± 0.09 b


d (mm)

3.49 ± 0.13 a

2.24 ± 0.14 b

2.52 ± 0.08 b


lp (mm)

8.68 ± 0.91 a

3.85 ± 0.31 b

5.06 ± 0.20 b

Different letters indicate significant differences (for α = 0.05) according to the Tukey HSD post hoc test. The number of observations for each group of data (n) is also reported. For the abbreviations, refer to the Methods section

The leaf traits also differentiated the populations of the Gelbison massif from those of the Calabrian Apennines. Specifically, the populations from the Gelbison massif had the longest petioles and the greatest leaf surface, whereas the populations of the Sila and Aspromonte massifs had similar leaf traits (Table 2, Fig. 7).


According to the multispecies coalescent model based on ptDNA and nrDNA data, Soldanella underwent an evolutionary radiation during the early Pleistocene, approximately 1.78 My ago. The genus, however, came from an older lineage that diverged from Hottonia around 20 My ago, during the early Miocene. Our phylogeny finely matches the one derived by Yesson and co-workers [12], providing similar stem ages for Androsace, Omphalogramma, Hottonia and Soldanella. Considering the agreement between the phylogenies, it is reasonable to have a high confidence on the age estimate for the evolutionary radiation of the Soldanella genus. This estimate is based on the latest common ancestor of both S. pusilla and the metapopulation of the Gelbison massif which, as highlighted by the ITS phylogeny, belong to lineages diverged during the early differentiation of the genus, ensuring an unbiased dating of the diversification of Soldanella. Unlike our results, this event was previously dated [5] to the middle-late Pleistocene based on an ITS phylogeny calibrated using a fossil of Androsace. The fossil, however, had a broad age estimate (23.3–5.2 My) and was later discarded for calibrating the Androsace phylogeny by Schneeweiss and Schönswetter [13]. This, coupled with the different data and models employed, could possibly explain the discrepancies between our dating and the earlier one. However, since our estimate for the diversification of Soldanella is based on a model of gene coalescence within a species tree, with sequences from both plastid and nuclear DNA, and uses a robust calibration node [12], it is likely more accurate than the one previously proposed.

The phylogeographical scenario obtained from the ITS data suggests that the diversification of Soldanella began in middle Europe, although a Carpathians origin could not be ruled out. Assuming a central-southeastern Asian origin of the lineage, as indicated by the distribution of its closest relatives, Hottonia and Omphalogramma, the ancestor of Soldanella arrived in Europe during the time span of about 18 My from the divergence of the lineage to the diversification of the genus. The migration was likely triggered by the drop in Earth surface temperature since the Middle Miocene Transition (14.0–13.5 My) onward [14], as well as by the change in vegetation from thermophilous evergreen broad-leaved forests to deciduous broad-leaved and then to mixed coniferous/deciduous broad-leaved forests during the early Miocene-Pliocene [15]. Indeed, the last two vegetation types are those to which most of the species of Soldanella associate with [2], especially those with a montane ecology, which are considered, from an evolutionary point of view, the basalmost ones in the genus [5, 8]. The changes in vegetation could have thus created a preferential route for the spreading of the Soldanella lineage in Europe, where it found suitable environmental conditions for its persistence in the late Miocene-Pliocene.

According to our phylogeographical simulation, Soldanella extended from central Europe over the Carpathians during the early Pleistocene, and then westward to the Pyrenees and southern Italy during the middle Pleistocene. A thermal driven migration is the most probable explanation for the origin of the southern Apennine populations of Soldanella. Indeeed, the crossing of the Adriatic barrier thanks to the drop in sea level during cold ages is one of the most common ways for the species of the Carpathians and Balkans to reach the Italian Peninsula. Considering the low genetic variability of the populations of Soldanella in southern Italy, their origin can be alternatively the result of a single dispersal event, although the pattern of genetic diversity could have been altered by later population bottlenecks. Similar migration patterns were hypothesised by Surina and coworkers [16] for the Apennine populations of Edraianthus graminifolius (Campanulaceae).

According to the multispecies coalescent model, the diversification of Soldanella in southern Italy began with the differentiation of the metapopulation of the Gelbison massif as an independent evolutionary unit. The event is dated during the middle-late Pleistocene, with an indication of approximately 0.38 My ago. During this time, the 100 ky Milankovitch cycles determined repeated glaciations and interglaciations, accompanied by expansions and contractions of the species distribution ranges, which caused population bottlenecks [1719]. Particularly in southern Italy, Balkans and Iberian peninsula, the species associated to colder climates survived the interglacials by colonising higher altitudes [20, 21], experiencing repeated habitat fragmentation. Considering the geographical isolation among the Gelbison, the Sila and the Aspromonte massifs, it is reasonable to hypothesise a vicariance process for the divergence of the populations of Soldanella in the southern Apennines, which could have been isolated due to the fragmentation of a larger original distribution range. Alternatively, the diversification could be the result of a long distance dispersal from the populations on the Gelbison massif to the Calabrian Apennines. However, the vicariance hypothesis seems more appropriate than this scenario, since all of the metapopulations show similar low genetic diversity, suggesting common processes for their origin. Among the studied genera, a similar vicariance hypothesis has been proposed also by Zhang and co-workers [5] for some species of Soldanella, by Kropf and co-workers [22] for S. alpina within the Central Massif in France, and by Dixon and co-workers [23] and Schneeweiss and co-workers [24] for some Androsace species. Moreover, a sympatric speciation due to polyploidisation/hybridization can be safely excluded since both the Sila [25] and the Aspromonte [2] populations have the same karyotype and because of the absence of other Soldanella lineages in southern Italy.

The different ecology and biometrical traits between the populations of the Gelbison massif and those of the Sila and Aspromonte massifs further support their assignments to two independent evolutionary units. The presence of endemic ITS haplotypes, however, suggests that the populations from the two distribution ranges on the Calabrian Apennines could be also differentiated. Such an hypothesis is supported also by the morphometric differences pertaining to their glandular hairs. Conversely, the ecological data do not offer additional support to this idea, because of the wide niche overlap between the metapopulations of the Calabrian Apennines. However, a similar ecological niche does not constitute a strong prove to consider the Sila and Aspromonte populations as a single evolutionary unit. Further analyses on the gene flow among these metapopulations and the use of different markers are required to clarify this point. On the contrary, the ecological data clearly demonstrate that the metapopulation of Soldanella on the Gelbison massif represents a widely differentiated entity from those of the Calabrian Apennines. The altitudinal range and the composition of the forest canopy to which the populations of Soldanella of the Gelbison massif are associated, deviates strikingly from those observed for the populations of the Calabrian Apennines. Considering the altitudinal range, in particular, not only does it not overlap with that of the populations of the Calabrian Apennines, but it is also unique within the entire Soldanella genus, whose species are commonly found at higher altitudes. Indeed, only S. villosa can be found at lower altitudes, but it occupies a smaller altitudinal range than the populations of the Gelbison massif which, moreover, are associated to a wider range of canopies [2, 5]. The association of the populations of the Gelbison massif to A. cordata, A. glutinosa and C. sativa is also unique among the Soldanella species, which are generally found in grassland, snow pockets, Alpine pastures, or under conifer, F. sylvatica, Acer spp. and Sorbus spp. canopies [5]. In this context, it is remarkable that the populations of the Sila and Aspromonte massifs are often found under mixed A. alba and F. sylvatica canopies, whereas the populations of the Gelbison massif are never found under conifers, although plantations of Pseudotzuga menziesii Mirb. Franco and A. alba, with rare Picea abies L. plants, are occasionally found within their distribution range on the massif. The higher pH and lower C and organic matter of the soil on which plants grow on the Gelbison massif could possibly explain this occurrence, since conifer litter usually enhances soil acidification and it accumulates due to slow decomposition rates [26]. The hydrological characteristics of the wetlands colonised by the populations of the Gelbison massif point to a higher dependency on water availability compared to those of the Sila and Aspromonte massifs, since plants colonise the brook beds and their sides nearby water. The specialization towards the brook environment of the Soldanella of the southern Apennines is unique within the genus [5] and is probably related to the Mediterranean-type climate of the area. The populations of the Gelbison massif, however, stand out in this context for their strict hydrological requirements, probably related to the low elevation at which plants grow, where water of the perennial brooks could mitigate summer drought constrains and decouple the plant survival from the soil water resource.

The differences in the ecology of the three metapopulations are mirrored by the quantitative differences in their morphology. The relative size of the terminal cell of leaf petioles glandular hairs, in particular, is the best criterion to differentiate the populations of the three provenances. However, a wide array of biometrical traits, related to both the glandular hair and leaf morphology, further supports the differentiation of the three metapopulations of Soldanella in the southern Apennines.

Finally, the rbcL and trnL sequences can be used to unequivocally differentiate the populations of the Gelbison massif from those of the Calabrian Apennines in a taxonomic context. Both of these markers are potential candidates for the universal DNA barcoding of plants [2732], but usually possess an insufficient discriminatory power among different species. For this reason, they are commonly used in combination with other markers with a higher evolutionary rate, like the matK, to identify different species [29, 32]. The observed differences in the rbcL and trnL sequences between the populations on the Gelbison massif and those on the Sila and Aspromonte massifs can be thus interpreted not only in a phylogenetic, but also in a taxonomic context.

The unique molecular, morphometric and ecological traits of the populations of Soldanella of the Gelbison massif are sufficient to redefine S. calabrella as endemic to the Calabrian Apennines, and to consider the populations of the Gelbison massif as belonging to a new taxonomic unit at the species level. We name this unit Soldanella sacra A. & L. Bellino (Fig. 8), from the name of the Gelbison massif, the “Holy Mountain”, locus typicus of the new species.
Fig. 8

Soldanella sacra A. & L. Bellino. Holotype of Soldanella sacra A. & L. Bellino, species nova

Soldanella sacra A. & L. Bellino, species nova


Planta perennis, mediocris vel maiuscula, 15–35 cm alta. Rizomates ramosa, repentes vel ascendentes, saepe cum stolonibus. Petioli purpurei, 2.8–12.2 cm longi, non in lamina protracti. Pili in petiolis iuvenilibus unicellulares vel saepe bicellulares, globosi. Pili in petiolis vetustioribus tricellulares, 85.4–125.8 μm longi. Distalis cellula eorum pyriformis, 34.2–48.1 μm longa et 32.2–37.6 μm lata; cellulae stipitis aequilatae et aequilongae. Laminae foliarum subcoriaceae, glabrae, reniformes et crenatae, cum manifestis venis in superiore parte, sinu basali angusto. Laminae 2.0–2.6 × 3.0–4.2 cm latae. Scapi cum 3–9 floribus, erecti. Pili in pediculi flororum tricellulares, 65.6–72.1 μm longi. Distalis cellula eorum globosa. Corolla violacea vel alba, antherae violaceae vel fulvae, sagittatae. Antherarum connectivum 1.0–1.5 mm longum, stylus exsertus.


Gelbison massif, specimen with three flowering scapes grown at 1100 m a.s.l on a brook bank under C. sativa canopy, 40.21225 °N - 15.31623 °E, collected on the 28th of April 2010 and stored at the “Erbario Centrale Italiano” of Florence (Italy) since the 16th of June 2010 (Fig. 8).


Gelbison massif, specimen with a single flowering scape grown at 1100 m a.s.l on the downward side of a small rock island in a brook bed under C. sativa canopy, 40.21225 °N - 15.31623 °E, collected on the 28th of April 2010 and stored at the “Erbario Centrale Italiano” of Florence (Italy) since the 16th of June 2010.


Small plant, 15–35 cm tall. Rhizomes branched, creeping or ascending, sometimes with stolons, with primary roots 1 mm in diameter at the base. Leaves (Additional file 2: Figure S1) with green lamina, deeply cordate at the base, 1.4–4.5 cm long and 1.8–5.0 cm wide, adaxial side with marked veins, unclear abaxially. Petioles 2.8–12.2 cm long, red, violet or sometimes green, with two distinct types of glandular hairs, both stalked and non-stalked (or shortly stalked). Young petioles and leaf primordia usually densely covered only by non-stalked glandular hairs, old petioles covered by both types. Non-stalked glandular hairs (Additional file 2: Figure S2) of one spherical cell, 32.8–40.0 μm in diameter, brownish-yellow, often shortly stalked on a small cell 13 μm tall. Stalked glandular hairs (Additional file 2: Figure S2) straight, 85.4–125.8 μm long and constituted by 3 cells (exceptionally by 4 cells), with the terminal cell pyriform, 34.2–48.1 μm long, with maximum diameter of 32.2–37.6 μm and minimum of 17.1–20.9 μm (see also Table 2). Terminal cell red or rarely non-coloured, containing numerous small vesicles. Scapes one or many per rhizome, 11.5–23.1 cm long, light to dark green, sparsely covered with non stalked glandular hairs similar to those on young petioles. Bracts in the same number of pedicels, dark green, 3.0–5.0 mm long and 1.0–1.4 mm wide at the base, with no marked veins and with few non-stalked glandular hairs. Pedicels, 3–7 (max 9) per plant, reclined during flowering, then erect, 1.0–2.5 cm long at flowering, 3.2–4.8 cm at fruiting, densely covered with stalked glandular hairs toward the calyx. Glandular hairs on pedicels (Additional file 2: Figure S2) stalked, straight, 65.6–72.1 μm long, constantly of 3 cells. Cells of the stalk 18.0–23.2 μm long, basal cell clearly conical, middle cell barrelled or conical; stalk in the complex markedly conical, of the same color of the terminal cell. Terminal cell almost spherical, 28.3–32.2 μm long and 30.9–34.8 μm wide, red, with many small vesicles. Calyx lobes (Additional file 2: Figure S3) 3.0–5.0 mm long and 1.0–1.2 mm wide at the base, with no marked veins. Calyx lobes almost glabrous on the abaxial side, with many non-stalked or shortly stalked glandular hairs on the adaxial side, 36.7–39.4 μm wide in diameter. Corolla violet, occasionally white (Additional file 2: Figure S3), regularly to irregularly incised. Corolla tube 3.5–5.7 mm long, shorter or rarely equal to the lobes, 6.2–9.6 mm long. Stamens and connectives without glandular hairs or occasionally with stalked glandular hairs of 2 cells. Connectives white, 1.1–1.7 mm long, shorter than filaments, slightly to deeply lobate at the apex. Filaments purple, 1.8–2.6 mm long. Anthers yellow or violet, acute at the base, 2.1–3.0 mm long, with connective appendages usually darker than anthers, 1.0–1.7 mm long. Pollen grains (Additional file 2: Figure S4) elliptical and trisyncolpate during pollination (dried), on average 20.3 ×11.8 μm, the same spherical when hydrated, on average 20.3 μm in diameter, with a smooth surface. Style 8.5–10.5 mm long, longer or equal to the corolla. Capsules (Additional file 2: Figure S5) 11.7–14.8 mm long at maturity, with 10–11 min teeths. All measures are given as the range between the 5th and the 95th quantile.


The epithet sacra refers to the massif on which this species was discovered, named the “Holy Mountain” or Gelbison, likely from the ancient Arabic “Gebil el son” which stands for “The mount of the Idol”. Historically the massif was an important religious site in the Mediterranean Basin, as also testified by the presence of an ancient Heraion on the peak, replaced since 1323 A.D. by a sanctuary dedicated to the Marian cult.

Distribution and ecology

At the present, all the populations of S. sacra are found on the Gelbison massif, in the Campanian Apennines.

The typical micro-environment of this species is characterized by small islands of soil or stones scattered in the brook bed and under small cascades, usually colonized on the downward side and covered by mosses and liverworts (Additional file 2: Figure S6). S. sacra associates primarily and almost constantly with the mosses and liverworts that cover the substrate, mainly constituted by Bryopsida and Marchantiales. It can also be found associated with many other species, either typical of the same environment, like Lysimachia nemorum L., Juncus effusus L. and Nasturtium officinale R., or less specialised like Chaerophyllum hirsutum L., Anthriscus nemorosa L., Lamiastrum galeobdolon L., Mycelis muralis L., Adenostyles australis Ten., Geranium robertianum L., Geranium versicolor L., Festuca heterophylla Lam., Oxalis acetosella L., Bellis sylvestris Cyr., Saxifraga rotundifolia L., Cystopteris fragilis L. and Polystichum aculeatum L. In relation to the tree canopy, S. sacra is strictly associated to A. cordata and A. glutinosa, which are sometimes associated with man-made C. sativa stands and occasionally with Ilex aquifolium L., Corylus avellana L., Carpinus betulus L. and Fraxinus ornus L. Approximating the higher altitudinal limit, S. sacra can be found also in Mediterranean microthermal F. sylvatica forest type. The species is found in an altitudinal range of 840 - 1400 m a.s.l., on neutral soils with an organic matter content on average equal to 15 % d.w. and a C/N ratio of 12. S. sacra flowers from April to May and fructifies from June to July, dispersing seeds mainly through hydrochory.

Conservation strategies

To date, S. sacra is represented by only ten spatially separated populations on the Gelbison massif (Additional file 2: Figure S7). Therefore, this new species could be considered as a narrow stenochorous endemism of the mountain forest ecosystems of the southern Apennines. As far as we know, S. sacra is the species with the most narrow distribution range within its genus. The extent of the area occupied on the Gelbison massif, which is limited to very narrow patches, could have been restricted during the last decades by the plantations of the alien conifers P. menziesii and P. abies on the lower altitudinal range where S. sacra finds its habitat. These plantations modified the edaphic conditions and the light regime under the canopy, which could have determined the local extinction of the species. Today, the occurrence of S. sacra is limited to some of the few brook segments still flowing under A. cordata, A. glutinosa and C. sativa canopies. These sub-montane forests are partially of anthropogenic origin and testify a modification of the soil use during the last 60 years: C. sativa woods replaced the native mesic forests and A. cordata recolonised the old pastures and cultivations, while A. glutinosa has always been present along the brook sides. The exclusion of cow grazing (cows occasionally eat S. sacra plants and destroy them with their hooves) and anthropogenic interferences (like the brook regimentations and the banks disruption by the passage of off-road vehicles), together with the maintenance of the typical canopy cover, are crucial to conserve the main population stock of S. sacra. The brook regulation, however, can also potentially promote the expansion of the populations of S. sacra, by managing the water flow and creating suitable habitats. An example in case is the G2 population (Table 1, Additional file 2: Figure S7), that colonised a man-made dike on a steep slope which created a suitable habitat for S. sacra. Since the population found at the highest elevation grow under the canopy of an old coppice beech stand, the distribution of S. sacra seems to be affected also by the light regime, as also demonstrated for S. hungarica [33]. Forest management strategies should thus promote “light windows” by opening the beech canopy located in the higher brook sections, with and without S. sacra populations. This would favour the propagation and/or translocation of the plants where they are not present today. A final remark should be made about the metapopulation dynamics. The environments colonised by S. sacra, indeed, are spatially and temporally unstable, as testified by a mudslide that occurred in the area of the G5 population and a rockslide that occurred in the area of the G7 population during the three-years monitoring performed in the present study. Such events determined heavy losses that could even determine local extinction. Since the numerical bottlenecks to which the population can undergo are potentially dangerous for the long term viability of S. sacra, the understanding of the metapopulation dynamics is a pivotal step in defining suitable conservation strategies. According to the IUCN Red List Categories and Criteria version 3.1 [34], S. sacra is to be considered as critically endangered, because of the area of occurrence smaller than 100 km2, coupled with a highly fragmented area of occupancy, and extreme fluctuations in the number of individuals, in the area of occupancy and in the number of subpopulations. In addition, the agamic reproduction via stolons is very common in this species, thus reducing the genetic variability. However, it must be considered that large sectors of the Campanian Apennines, where this species was found, are scarcely explored [35] and thus it is possible that the actual distribution range of S. sacra could be more extensive than it is known to be at present. Fortunately, the Gelbison massif and the neighbouring mountains are already included in the Cilento, Vallo di Diano and Alburni National Park, which could promote appropriate conservation strategies.


Study areas

Fifteen populations of Soldanella sp. were studied during the years 2010–2013 on the southern Apennines (Fig. 1). Specifically, eight populations were studied on the Gelbison massif (1705 m a.s.l.), five on the Sila massif (1928 m a.s.l.) and two on the Aspromonte massif (1956 m a.s.l.). The three massifs have different ontogeny and geological characteristics. The Sila [36] and Aspromonte [37] massifs developed earlier than the Gelbison massif and, being part of the Calabrian-Peloritan Arc, have mostly a granitic crystalline structure, whereas the Gelbison massif has a complex structure of different layers of permeable conglomerates and sand-stones that lay on an impermeable marly-clay olistostrome [10, 38].

A Colorado 300 (Garmin International, Kansas City, USA) GPS was used to georeference the studied populations, of which positions, altitudes and tree canopy compositions are reported in Table 1.


To characterise the soil of the studied populations, three samples in the layer 0–5 cm were collected from the rhizosphere of each sampled plant and pooled together. Samples were oven dried at 75 °C and sieved to 2 mm to retrieve the granulometric fraction. The following parameters were measured on each sample: i) pH in distilled water (1:5 w:w soil:water) by a FiveGo pH-meter (Mettler-Toledo, Schwarzenbach, Switzerland), ii) total C and N through a Flash EA 1112 CHNS-O Analyzer (Thermo Fisher Scientific Inc., Waltham, MA, USA) after pulverisation with a PM 4 planetary ball mill (Retsch, Haan, Germany), iii) soil organic matter (OM) via loss on ignition with a Controller B 170 furnace (Nabertherm GmbH, Lilienthal, Germany) for 4 h at 550 °C.

To test the differentiation of the populations from the three provenances based on soil rhizosphere characteristics, tree canopy composition and site elevation, Non-metric Multidimensional Scaling (NMDS) with the superimposition of the confidence ellipses (for α = 0.05) for the three metapopulations was performed. In order to accommodate the presence of mixed data in the data matrix, the Gower distance metric was used. In addition, one-way Analysis of Variance (ANOVA), followed by the Tukey HSD post hoc test, was used to test the differences among the three metapopulations for each of the soil characteristics analysed. The analyses were performed using R programming language with the “vegan” package [39] and the “stats” package [40].

Molecular analyses

One nuclear (total ITS) and two plastid (trnL and rbcL) molecular markers were analysed for the phylogenetic analysis of the 15 studied populations. Three plants were sampled for the analyses from the edges of each population (six for the populations of the Aspromonte massif), in order to avoid the collection of clones. Total ITS and rbcL were amplified and sequenced for all the samples, whereas trnL was analysed on 21 samples: 6 from the Gelbison, 12 from the Sila and 3 from the Aspromonte massifs.

Total DNA was extracted using the REDExtract-N-Amp™ Plant PCR kit (Sigma-Aldrich Corp., MO, USA) from 2 mm2 of a healthy, young leaf per sample. Amplification was carried out by Polymerase Chain Reaction (PCR), using the “trnL 1” (5’-CGAAATCGGTAGACGCTACG-3’) / “trnL 2” (5’-GGGGATAGAGGGACTTGAAC-3’), “rbcL 1F” (5’-ATGTCACCACAAACAGAAACTAAA-3’) / “rbcL 1375R” (5’-AATTTGATCTCCTTCCATATTTCGCA-3’) and “ITS 1a” (5’-TCGTAACAAGGTTTCCGTAGG-3’) / “ITS 28kj” (5’-CTTGGACGGAATTTACCG-3’) primer pairs for trnL, rbcL and total ITS (ITS1 + 5.8S + ITS2), respectively. The amplifications of trnL and rbcL were performed in a volume of 20 μL, containing 10 μL of RedTaq™ polymerase, 2 μL of each primer (at a final concentration of 0.5 μM), 2 μL of DNA extract and 4 μL of distilled and sterile water. The amplification of total ITS, instead, was performed in a volume of 10 μL, with halved volumes of each constituent.

Double stranded DNA templates were then produced in a 2720 thermal cycler (Applied Biosystems, Foster City, CA, USA), using different protocols. For trnL and total ITS, an initial step of 3’ at 94 °C was followed by 32 cycles, each consisting of denaturation for 30" at 94 °C, annealing for 1’ at 55 °C and elongation for 9’ at 72 °C. For rbcL, the initial step of 3’ at 94 °C was followed by 35 cycles, each consisting of denaturation for 30" at 94 °C plus 3”/cycle, annealing for 1’ at 50 °C and elongation for 9’ at 72 °C. Amplicons were purified using the Illustra GFX PCR DNA and GCI Bind purification kit™ (GE Healthcare Bio-Sciences Corp., Piscataway, NJ, USA).

Purified DNA was amplified using BigDye Terminator Cycle Sequencing Kit (Applied Biosciences, Connecticut, USA), using the same protocols and primers of the initial PCRs but in different forward and reverse reactions. Sequencing PCR were performed for each marker in a 5 μL volume, containing 1 μL of BigDye™, 1 μL of reaction buffer, 0.5 μL of the primer (at a final concentration of 0.16 μM) and water if needed. DNA was used at a final concentration of 6 ng/ μL for trnL, 14 ng/ μL for rbcL and 10 ng/ μL for total ITS. Sequences were analysed using an ABI Prism 310 automatic sequencer (Applied Biosystems, Foster City, CA, USA).

Sequences of each unique haplotype or ribotype were deposited in GenBank (accessions KT368181-KT368190).

The 222 electropherograms (forward and reverse) obtained were analysed using the Chromas Lite software (Technelysium Pty Ltd, Brisbane, Australia). The sequences were then built and edited using a text editor, and aligned using the ClustalX software [41]. To build the phylogenies and calibrate the trees, sequences of other Primulaceae and Myrsinaceae were retrieved from GenBank using the BLAST software. Sequences of Androsace septentrionalis (JX848513.1 and AF394963.1 for rbcL, EU326038.1, AY274959.1, EU655581.1 and GQ244557.1-8.1 for trnL, AY275074.1 and EU655561.1 for ITS), Cyclamen hederifolium (U96656.1 for rbcL, AM990526.1 and AJ236994.1-5.1 for trnL, AF164004.1, AJ491440.1 and AJ491684.1 for ITS), Omphalogramma delavayi (AF213805.1 and JF942659.1-63.1 for rbcL, DQ378603.1 and AF534675.1 for trnL, JF977173.2-7.2 for ITS), Hottonia palustris (AF395002.1 and KM360824.1 for rbcL, AF402435.1 for trnL, AJ491430.1 and AJ491674.1 for ITS1 and ITS2) and S. pusilla (AF395000.1 for rbcL, AF402434.1 for trnL, AJ306353.1-8.1 for ITS) were chosen, in relation to their similarities with S. calabrella and the availability of all the markers for each species. These sequences were employed in dating the diversification of the Soldanella genus and of the metapopulations of the southern Apennines based on all the markers analysed using Bayesian techniques. For the phylogeny of the entire Soldanella genus, based on the ITS marker, the sequences of all the species available in GenBank with an indication of the provenance (accessions AJ306321.1-361.1 and KJ365400.1-17.1), obtained by Zhang and co-workers [5] and by Steffen and Kadereit [8], were analysed employing both maximum likelihood and Bayesian techniques.

The Bayesian analyses were performed using BEAST 2.3.0 [42] and Tracer 1.6 to analyse and combine the MCMC chains. To estimate both phylogeny and divergence times, the rbcL, trnL and ITS alignments were analysed jointly with a multispecies coalescent model (*BEAST), which takes into account the species divergence processes from multilocus DNA data. For the rbcL and ITS alignments, a General Time Reversible substitution model (with the estimation of the equilibrium frequencies, the proportion of invariant sites, and the Γ distribution with 4 discrete classes) and a calibrated Yule tree model were employed, together with a relaxed clock lognormal model. For the trnL alignment a strict clock model was chosen instead, based on the evaluation of the coefficient of variation of a relaxed clock lognormal model, as well as the same site and tree model of the other markers. Since the plastid markers belong to a single non-recombinant DNA molecule, a single tree was estimated for the ptDNA data. To this end, the missing part of rbcL or trnL gene for each sequence was coded as missing data, so the effective number of sequences for the ptDNA analysis is the sum of the sequences for each of the plastid markers. The analysis was performed combining the results of 5 runs with 3.5108 generations, sampled every 5103 iterations. The phylogeny was calibrated using the divergence between Primulaceae and Myrsinaceae, dated to 44.6–45.3 My ago by Yesson and co-workers [12] and constraining the monophyly of the Primulaceae to improve convergence of the MCMC chains.

The maximum likelihood estimation of the ITS phylogeny was performed using the PhyML 3.0 software [43], starting from a BioNJ tree based on Kimura-Nei distances [44]. All the available substitution models in PhyML were tested for each marker using the “phymltest” function of the “ape” package [45] in R. The General Time Reversible [46] model, with the estimation of the equilibrium frequencies, the proportion of invariant sites, and the Γ distribution (with 4 discrete classes), was thus chosen for all the alignments in relation to its lowest Akaike Information Criterium. Tree topologies were optimized using the best of NNI and SPR moves, and branch support was based on 1103 bootstrap replicates.

The Bayesian analysis of the ITS alignment involved the construction of a discrete phylogeographical scenario for the evolution of the Soldanella genus. A General Time Reversible model with the estimation of the equilibrium frequencies, the proportion of invariant sites and the Γ distribution (with 4 classes) was employed for the substitution model of the ITS alignment, whereas a symmetric model was chosen for the matrix of discrete traits containing the provenances of the Soldanella sequences. The provenances were divided into 6 discrete regions: 1) Carpathians, 2) central Europe, 3) Balkans, 4) Alps, northern, and middle Apennines, 5) Pyrenees, and 6) southern Apennines. A calibrated Yule tree model and a strict clock model, chosen by examining the distribution of the coefficient of variation of a previous relaxed clock lognormal model, were employed. The calibration of the ITS tree was based on the dating of the Soldanella radiation obtained from the *BEAST analysis. The analysis was performed combining the results of 5 independent runs each with 5107 generations, sampled every 5103 iterations. Finally, the phylogeny was combined with the geographical information on the sequence provenances using the SPREAD 1.0.6 software [47].


Biometrical measurements were performed on 10–20 fresh plants collected from each population. Observations and measurements of the glandular hairs were carried out with a Leitz Dialux 20 microscope at 100-400x magnification in bright field and phase contrast, equipped either with a Photometrics CoolSnap K4 camera (Roper Scientific, AZ, USA) or a Nikon DS-U2 digital camera (Nikon Corporation, Tokyo, Japan). For each glandular hair of leaf petioles, the length (l), minimum width (wmin) and maximum width (wmax) of the three cells (terminal: t; middle: m; basal: b) were measured, as well as the total hair length (h). In the rare cases of glandular hairs with four instead of three cells, the measurements were carried out on the terminal cell, the basal cell and the cell adjacent to the basal one (m). Moreover, the maximum length (le), the length from the petiole to the apex (lc) and the maximum diameter (d) of each leaf as well as the length of leaf petioles (lp) were also measured with the ImageJ 1.43u software package on images collected with an Epson Perfection 1640 scanner (Seiko Epson Corporation, Nagano, Japan) at a resolution of 1600 dpi. For the populations of the Gelbison massif only, in addition, plant and scape heights were measured with a manual vernier caliper, floral traits were measured via image analysis after longitudinal sectioning the flowers to expose internal structures, and pollen grains were observed with the same microscopy apparatus in bright field at 1000 × magnification.

The differentiation of the populations from the three provenances based on glandular hair and leaf biometrical traits was evaluated with a Canonical Variates Analysis (CVA), performed using the “candisc” 0.6–5 package [48], and with one-way ANOVAs followed by Tukey HSD post hoc tests, as described for the ecological data.



The work was carried out using facilities of the Department of Chemistry and Biology of the Salerno University and of the Department of Agriculture (ex Ar.Bo.Pa.Ve) of the University of Naples “Federico II”. We wish to thank Prof. Stefano Castiglione and Dr. Angela Cicatelli for their invaluable help in the molecular analyses, Prof. Elizabeth Illingworth for English revision of the manuscript and Dr. Guglielmo Monaco for his help in writing the Latin diagnosis. A partial financial support was given by funds granted to AS.

Authors’ Affiliations

Dipartimento di Chimica e Biologia, Università degli Studi di Salerno
Dipartimento di Agraria, Università degli Studi di Napoli “Federico II”


  1. Gledhill D. The names of plants. Cambridge, UK: Cambridge University Press; 2008.Google Scholar
  2. Zhang L, Kadereit JW. The systematic of Soldanella (Primulaceae) based on morphological and molecular (ITS, AFLPs) evidence. Nord J Bot. 2003; 22(2):129–69.View ArticleGoogle Scholar
  3. Zhang L, Kadereit JW. Nomenclature of Soldanella L. (Primulaceae). Taxon. 2004; 53(3):1–12.View ArticleGoogle Scholar
  4. Niederle J. Remarks on the genus Soldanella L. in the West Carpathians. Acta Musei Richnoviensis, Sect Natur. 2003; 10(2):171–4.Google Scholar
  5. Zhang L, Comes HP, Kadereit JW. Phylogeny and quaternary history of the European montane/alpine endemic Soldanella (Primulaceae) based on ITS and AFLP variation. Am J Bot. 2001; 88(12):2331–345.PubMedView ArticleGoogle Scholar
  6. Mast AR, Kelso S, Richards AJ, Lang DJ, Feller DMS, Conti E. Phylogenetic relationships in Primula L. and related genera (Primulaceae) based on noncoding chloroplast DNA. Int J Plant Sci. 2001; 162(6):1381–400.View ArticleGoogle Scholar
  7. Morozowska M, Czarna A, Kujawa M, Jagodzinski MA. Seed morphology and endosperm structure of selected species of Primulaceae, Myrsinaceae, and Theophrastaceae and their systematic importance. Plant Syst Evol. 2011; 291(3–4):159–72.View ArticleGoogle Scholar
  8. Steffen S, Kadereit JW. Parallel evolution of flower reduction in two alpine Soldanella species (Primulaceae). Bot J Linn Soc. 2014; 175:409–22.View ArticleGoogle Scholar
  9. Azzella MM, Burrascano S. Notula 1481. Informatore Bot Ital. 2008; 40(2):249–64.Google Scholar
  10. Celico P, De Vita P, Aloia A. Caratterizzazione idrogeologica della formazione di Monte Sacro (Cilento - Campania meridionale). Geol Appl e Idrologia. 1993; 28:243–51.Google Scholar
  11. Gentile S. Sui faggeti dell’Italia meridionale. Atti Ist Bot dell’Università di Pavia. 1970; 6(5):207–306.Google Scholar
  12. Yesson C, Toomey NH, Culham A. Cyclamen: time, sea and speciation biogeography using a temporally calibrated phylogeny. J Biogeogr. 2009; 36:1234–52.View ArticleGoogle Scholar
  13. Schneeweiss GM, Schönswetter P, Kelso S, Niklfeld H. Complex biogeographic patterns in Androsace (Primulaceae) and related genera: evidence from phylogenetic analyses of nuclear internal transcribed spacer and plastid trnL-F sequences. Syst Biol. 2004; 53(6):856–76.PubMedView ArticleGoogle Scholar
  14. Böhme M. The Miocene Climatic Optimum: evidence from ectothermic vertebrates of central Europe. Palaeogeogr Palaeocl. 2003; 195:389–401.View ArticleGoogle Scholar
  15. Kovar-Eder J. Vegetation dynamics in Europe during the Neogene. Denisea. 2003; 10:373–92.Google Scholar
  16. Surina B, Schneeweiss GM, Glasnović P, Schŏnswetter P. Testing the efficiency of nested barriers to dispersal in the mediterranean high mountain plant Edraianthus graminifolius (Campanulaceae). Mol Ecol. 2014; 23(11):2861–875.PubMedView ArticleGoogle Scholar
  17. Hewitt GM. Some genetic consequences of ice ages, and their role in divergence and speciation. Biol J Linn Soc. 1996; 58:247–76.View ArticleGoogle Scholar
  18. Comes HP, Kadereit JW. Comparative phylogeography and postglacial colonization routes in Europe. Trends Plant Sci. 1998; 3(11):432–8.View ArticleGoogle Scholar
  19. Schönswetter P, Stehlik I, Holderegger R, Tribsch A. Molecular evidence for glacial refugia of mountain plants in the European Alps. Mol Ecol. 2005; 14(11):3547–555.PubMedView ArticleGoogle Scholar
  20. Taberlet P, Fumagalli L, Wust-Saucy AG, Cosson JF. Comparative phylogeography and postglacial colonization routes in Europe. Mol Ecol. 1998; 7:453–64.PubMedView ArticleGoogle Scholar
  21. Vargas P. Molecular evidence for multiple diversification patterns of alpine plants in Mediterranean Europe. Taxon. 2003; 52:463–76.View ArticleGoogle Scholar
  22. Kropf M, Comes HP, Kadereit JW. Past, present and future of mountain species of the French Massif Central - the case of Soldanella alpina L. subsp. alpina (Primulaceae) and a review of other plant and animal studies. J Biogeogr. 2012; 39(4):799–812.View ArticleGoogle Scholar
  23. Dixon CJ, Schönswetter P, Schneeweiss GM. Traces of ancient range shifts in a mountain plant group (Androsace halleri complex, Primulaceae). Mol Ecol. 2007; 16:3890–901.PubMedView ArticleGoogle Scholar
  24. Schneeweiss GM, Schönswetter P. The wide dut disjunct range of the European mountain plant Androsace lactea L. (Primulaceae) reflects Late Pleistocene range fragmentation and post-glacial distributional stasis. J Biogeogr. 2010; 37:2016–25.Google Scholar
  25. Peruzzi L, Cesca G. Chromosome numbers of flowering plants from Calabria, S Italy, II. Willdenowia. 2004; 34:353–60.View ArticleGoogle Scholar
  26. Augusto L, Ranger J, Binkley D, Rothe A. Impact of several common tree species of European temperate forests on soil fertility. Ann For Sci. 2002; 59:233–53.View ArticleGoogle Scholar
  27. Gielly L, Taberlet P. The use of chloroplast DNA to resolve plant phylogenies: noncoding versus rbcL sequences. Mol Biol Evol. 1994; 11(5):769–77.PubMedGoogle Scholar
  28. Chase MW, Salamin N, Wilkinson M, Dunwell JM, Kesanakurthi RP, Haidar N, et al. Land plants and DNA barcodes: short-term and long-term goals. Philos T Roy Soc B. 2005; 360:1889–95.View ArticleGoogle Scholar
  29. CBOL Plant Working Group. A DNA barcode for land plants. PNAS. 2009; 106(31):12794–7.PubMed CentralView ArticleGoogle Scholar
  30. Chen S, Yao H, Han J, Liu C, Song J, Shi L, et al. Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PLoS ONE. 2010; 5(1):8613.View ArticleGoogle Scholar
  31. de Groot GA, During HJ, Maas JW, Schneider H, Vogel JC, Erkens RHL. Use of rbcL and trnL-F as a two-locus DNA barcode for identification of NW-European ferns: an ecological perspective. PLoS ONE. 2011; 6(1):16371.View ArticleGoogle Scholar
  32. Hollingsworth PM, Graham SW, Little DP. Choosing and using a plant DNA barcode. PLoS ONE. 2011; 6(5):19254.View ArticleGoogle Scholar
  33. Zhilyaev GG. Vitality composition and its role in subpopulation loci of Soldanella hungarica Simonk. (Primulaceae) in the Carpathians. Contemp Probl Ecol. 2011; 4(6):651–7.View ArticleGoogle Scholar
  34. IUCN. The IUCN red list of threatened species. Version 2012.2. Gland, Switzerland; 2012.
  35. Moggi G. Catalogo della Flora del Cilento (Salerno). Informatore Bot Ital. 2002; 33(3):116.Google Scholar
  36. Messina A, Russo S, Borghi A, Colonna V, Compagnoni R, Caggianelli A, et al. Il massiccio della Sila, settore settentrionale dell’arco Calabro-Peloritano. Boll Soc Geol Ital. 1994; 113(3):539–86.Google Scholar
  37. Pezzino A, Angà G, Fazio E, Fiannacca P, Lo Giudice A, Ortolano G, et al. Alpine metamorphism in the Aspromonte massif: Implications for a new framework for the southern sector of the Calabria-Peloritani orogen, Italy. Int Geol Rev. 2008; 50(5):423–41.View ArticleGoogle Scholar
  38. Guida D, Guida M, Luise D, Salzano G, Vallario A. Idrologia del Cilento (Campania). Geol Romana. 1980; 19:349–69.Google Scholar
  39. Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara RB, et al. Vegan: Community Ecology Package (2012). R package version 2.0-5.Google Scholar
  40. R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2013. R Foundation for Statistical Computing.Google Scholar
  41. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007; 23:2947–948.PubMedView ArticleGoogle Scholar
  42. Bouckaert R, Heled J, Kühnert D, Vaughan TG, Wu CH, Xie D, et al. BEAST2: a software platform for Bayesian evolutionary analysis. PLOS Comput Biol. 2014; 10(4):1003537.View ArticleGoogle Scholar
  43. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.Syst Biol. 2010; 59(3):307–21.PubMedView ArticleGoogle Scholar
  44. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980; 16:111–20.PubMedView ArticleGoogle Scholar
  45. Paradis E, Claude J, Strimmer K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 2004; 20:289–90.PubMedView ArticleGoogle Scholar
  46. Lanave C, Preparata G, Saccone C, Serio G. A new method for calculating evolutionary substitution rates. J Mol Evol. 1984; 20:86–93.PubMedView ArticleGoogle Scholar
  47. Bielejec F, Rambaut A, Suchard MA, Lemey P. Spread: spatial phylogenetic reconstruction of evolutionary dynamics. Bioinformatics. 2011.
  48. Friendly M, Fox J. Candisc: visualizing generalized canonical discriminant and canonical correlation analysis. 2013. R package version 0.6-5.Google Scholar


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