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Article

A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae)

1
PLANTSEED Lab, Department of Biology, University of Pisa, 56126 Pisa, Italy
2
Botanic Garden and Museum, University of Pisa, 56126 Pisa, Italy
3
Department of Biology, University of Naples Federico II, 80100 Naples, Italy
4
Department of Botany, Faculty of Pharmacy, University of Santiago de Compostela, 15782 A Corunha, Spain
5
Department BABVE, Faculty of Biosciences, Autonomous University of Barcelona, 08193 Bellaterra, Spain
6
Centre for Conservation of Biodiversity (CCB), Department of Life and Environmental Sciences, University of Cagliari, 09123 Cagliari, Italy
*
Author to whom correspondence should be addressed.
Plants 2022, 11(24), 3458; https://doi.org/10.3390/plants11243458
Submission received: 16 November 2022 / Revised: 30 November 2022 / Accepted: 5 December 2022 / Published: 9 December 2022
(This article belongs to the Special Issue Diversity and Evolution of Asteraceae)

Abstract

:
The genus Santolina (Asteraceae, Anthemideae) includes 26 species of aromatic evergreen shrubs endemic to the western Mediterranean Basin. Santolina is widely used as ornamental plant, in xerigardening, and in ethnobotany. The Santolina chamaecyparissus complex, including about half of the known species diversity, has been properly investigated on systematic and taxonomic grounds only recently, and a complete morphometric study is still missing. Here we provide a morphometric characterization and comparison of all the 14 species of this complex, using both univariate and multivariate analyses. Our results suggest that species of this complex can be distinguished using combinations of quantitative and qualitative character-states, mostly related to the leaf morphology. The analysis of S. villosa, a tetraploid/hexaploid Spanish endemic, showed that the two cytotypes cannot be safely identified based on morphology. Coupling this evidence with available phylogenetic information, we conclude that there is no reason to split the two cytotypes of S. villosa in two distinct taxa. An identification key for all the species of the complex is presented.

1. Introduction

Santolina L. (Anthemideae) is a genus of evergreen shrubs endemic to the western portion of the Mediterranean Basin [1]. Most species occur under Mediterranean bioclimate, usually on calcareous substrates [2,3,4]. Due to their ability to tolerate periods of strong drought, some species, and in particular S. chamaecyparissus L., are cultivated as ornamental plants and in xerigardening [5]. In addition, most species are known for their traditional ethnobotanical uses. For instance, the inflorescences of S. chamaecyparissus, S. oblongifolia Boiss., and S. rosmarinifolia L. were used for their anti-inflammatory effects [6], whereas aerial parts of S. corsica Jord. & Fourr., S. ericoides Poir., and S. etrusca (Lacaita) Marchi & D’Amato were used as vermifuge and antiparasitic [7,8]. The ethnobotanical importance of Santolina has stimulated in the last decades research concerning the biological properties and the phytochemical composition. Indeed, phytochemical studies discovered the presence of several compounds, such as terpenoids, chrysanthemane monoterpenoids, flavonoids, and coumarins, that are known for their effects on human health [9,10,11,12,13,14]. However, while the literature concerning the phytochemistry of Santolina was proliferating [10,15,16,17,18,19,20], the systematic knowledge of this genus has remained fragmentary and incomplete until recent years. Important contributions to the systematics and taxonomy of Santolina were provided by Carbajal and collaborators [4,21] for the S. rosmarinifolia complex, whose species mostly occur in the Iberian Peninsula, and by Giacò and collaborators for the S. chamaecyparissus complex, more widely distributed across the western Mediterranean Basin. As regards the latter, a nomenclatural revision [1] and a karyomorphological study [22] raised several taxonomic issues that have been later clarified using integrated taxonomic approaches. In particular, De Giorgi and collaborators [23] focused on polyploid Santolina populations from Corsica and Sardinia, Giacò and collaborators [24] on diploid continental Italian species, while Giacò and collaborators [25] untangled the systematic relationships of diploid populations occurring in southern France and north-eastern Spain. Santolina insularis (Gennari ex Fiori) Arrigoni has been synonymized with S. corsica [23], whereas new taxa have been recognized in France and Spain [25]: S. intricata Jord. & Fourr. and three allopatric subspecies within S. decumbens Mill. However, several taxa of the complex have not yet been properly studied, and an overall quantitative morphological analysis is still lacking. In addition, an important gap of knowledge concerns the evaluation of possible taxonomic distinction of the two cytotypes of S. villosa Mill., a tetraploid (2n = 4x = 36) and hexaploid (2n = 6x = 54) species that is endemic to central-eastern and southern Spain [22].
Accordingly, the aims of this study are (a) to quantitatively assess whether the two cytotypes of S. villosa can be distinguished on morphometric grounds, (b) to carry out an exhaustive univariate and multivariate morphometric analysis of the complex including all the 14 recognized species, and (c) to build an identification key.

2. Results

2.1. Morphometrics of the Two Cytotypes of S. villosa

In Figure 1, a PCoA showing the two cytotypes of S. villosa is reported. The first two axes explain 33.21% of the morphological variability. The tetraploid population shows a wide morphological variability on the first axis, and partially overlaps with the hexaploid population on the left side of the graph.
The two populations significantly differ for eight quantitative character-states (Table 1). However, their Cohen’s d values are always <1.2, showing remarkable overlaps. In Table S1, the mean values ± standard deviation of each quantitative character is reported for each population, included the two studied populations/cytotypes of S. villosa. Conversely, no qualitative character shows significant differences. Assuming the two cytotypes as a priori groups, Random Forest returned a low value of overall correct classification (68.4%), further confirming the high morphological overlap.

2.2. Morphometrics of the Whole S. chamaecyparissus Complex

Random Forest returned a value of overall mean correct classification of 89.2% (Table 2), considering all the 14 species as a priori groups. Santolina ericoides and S. pinnata are correctly classified in 100% of cases. Conversely, S. vedranensis shows the lowest value of mean correct classification (59.9%), since it is confused mostly with S. corsica (22.9%) and S. decumbens (7.3%). Except for S. intricata (68.7%), S. virens (69.5%), and S. decumbens (81.8%), other species are well classified (>90%) by the algorithm.
By plotting the first two axes of a PCA based on the mean values of eight non-correlated characters (65.3% of the variance explained), the overall morphological relationships among species are highlighted (Figure 2).
In Table 3, the mean values ± standard deviation for each species and for each quantitative character are reported, whereas the same information is reported at population level in Table S1. In Table S2, the number of significantly different quantitative character-states showing Cohen’s d > 1.2 and the number of significantly different qualitative character-states are reported for each pair of species. The pair S. chamaecyparissus vs. S. etrusca shows the highest number of significantly different character-states (26 quantitative + 5 qualitative), whereas the pairs S. benthamiana vs. S. intricata, S. decumbens vs. S. villosa, and S. ericoides vs. S. virens show the lowest number (5 + 2, 2 + 5, and 3 + 4, respectively).
In Table S3, the quantitative characters that significantly differ with Cohen’s d > 1.2 and the significantly different qualitative character-states for each pair of species are reported. The quantitative character occurring with the highest frequency in the pairwise comparisons (69 times in Table S3) is the tomentosity of the flowering stems (fs_hair). The following nine characters showing high frequency (63 to 49 times) are still all related to the leaf morphology. The character with the lowest frequency (four times) is the length of the external involucral bract (sq_ext_len). Overall, quantitative characters related to the capitula morphology are less frequently represented than the characters related to the leaf morphology. The qualitative character occurring with the highest frequency (70 times in Table S3) is the tomentosity of the internal involucral bract (sq_int_hair). Conversely, the qualitative character with the lowest frequency (35 times in Table S3) is the colour of the flowers (fl_col).

3. Discussion

Our analyses showed that it is almost impossible to distinguish the two cytotypes of S. villosa. Albeit the tetraploids exhibit a morphological variability wider than hexaploids (Figure 1), a remarkable number of individuals morphologically overlaps with the hexaploid cytotype. Univariate analyses suggest that there is no quantitative or qualitative character allowing an unambiguous identification of cytotypes (Table 1). Based on this result, it is not possible to assign a putative ploidy level to the lectotype of S. villosa [26] on morphological grounds, and more in general it is not possible to study the distribution of the two cytotypes using the morphology of herbarium specimens. Therefore, albeit the tetraploid populations were detected in central-eastern Spain and the only known hexaploid population was detected in south-eastern Spain [22,27], we deem that the current shortage of chromosome data, in proportion to the wide distribution range, does not allow for speculation about a possible allopatric distribution of the two cytotypes. The absence of morphological distinctiveness between the two cytotypes agrees with their sister relationship observed in the phylogenetic tree provided by Giacò and collaborators [25]. Based on the current knowledge, the case of S. villosa does not fit with any of the cases presented by Soltis and collaborators [28], in which chromosome races may be worth of taxonomic distinction. Therefore, on taxonomic grounds, we deem the two cytotypes of S. villosa should not be recognized as distinct taxa. Indeed, also in other species of Santolina the co-occurrence of more than one cytotype did not lead to the recognition of separate taxa. Indeed, S. corsica (S. chamaecyparissus complex) is both tetraploid and hexaploid [23], whereas S. montiberica (Riv.-Guerra) R.Carbajal, L.Sáez, M.Serrano & S.Ortiz, S. pectinata Lag., and S. rosmarinifolia s.str. (S. rosmarinifolia complex) are both diploid and tetraploid [4,29].
The morphometric analyses carried out on all the species of S. chamaecyparissus complex show that the most important overall discriminant characters are those related to the leaf morphology. The length and tomentosity of leaves, as well as the number of leaf segments, their length, and how much they are spaced-out are all good discriminant characters, especially if used in combination. Conversely, the characters related to the capitulum morphology show less discriminant power. Moreover, characters such as the width of the peduncle of capitula, the shape of capitula (globose or goblet-shaped), the apex of the inter-floral bracts (rounded or truncated), and the shape of additional morphological structures on the inter-floral bracts, albeit considered important characters by some authors [3,30,31], were preliminary discarded from our analyses since they were extremely variable within the same individual.
Most species show high values of correct a priori classification (Table 2). The exceptions are S. benthamiana, S. decumbens, and S. intricata, the morphological variation of which was already discussed in detail by Giacò and collaborators [24], also in the light of their phylogenetic relations. Santolina virens and S. ericoides are morphologically close (Table 2, Figure 2), and this affinity further supports the hypothesis which sees S. virens as a homoploid hybrid species having S. ericoides and S. rosmarinifolia as parents [22,32]. In addition, these two putative parental taxa are sympatric in central and northern Spain, where S. virens is native [4]. Albeit similar, however, S. ericoides and S. virens can be easily distinguished by the shape of the leaf segment apex, that is rounded in the former and acute in the latter. A remarkable number of species is partially misclassified by Random Forest as S. corsica (Table 2). A possible explanation of this result lies in the high intra- and inter-populational variability documented for this species [23]. However, univariate analyses detected those morphological characters allowing an unambiguous distinction between S. corsica and all the other partially misclassified species. For instance, S. vedranensis, a narrow endemic to the islet of Es Vedrà (Balearic Islands, Spain), albeit partially misclassified with S. corsica (22.9%), can be easily distinguished by the degree of tomentosity of the leaves of non-flowering stems, almost glabrous in S. vedranensis and densely tomentose in S. corsica. According to Carbajal et al. [21], the taxonomic distinction of S. vedranensis and S. corsica is supported also on molecular grounds. More details regarding the characters allowing a distinction between species are provided in the identification key.
A phylogenomic analysis of the whole genus Santolina is currently ongoing in order to better understand the evolutionary history of species. The preliminary results [33] suggest that all the species studied here represent distinct evolutionary lineages.
In conclusion, our study filled a gap of knowledge concerning the lack of morphological diagnosability of the two cytotypes of S. villosa and the morphometric relations of all the species currently recognized within the S. chamaecyparissus complex.

4. Identification Key

For a reliable identification, complete portions composed of both flowering and non-flowering stems must be sampled. In the sampling, fragments with branched flowering stems should be preferred to fragments without branched stems. Identification must be carried out on flowering or fruiting specimens, either fresh or dry, albeit in dry specimens the color of the flowers is usually lost. In the identification process, only the longest stems, leaves, and leaf segments, and the widest capitula must be considered. It is recommended to measure the same character multiple times on distinct portions of the fragment and then to compare the mean value obtained with the variation ranges reported in the key (Table 4), instead of using a single measurement. Some parts of the identification key were taken and integrated from [24,25]. In Figure 3, photos in nature of all species, except S. villosa and S. virens, are reported.

5. Materials and Methods

A total amount of 27 populations was sampled in the field during the summers of 2019, 2020, and 2021. For each population, 20 flowering individuals were collected (except for S. virens, S. chamaecyparissus, and S. vedranensis for which four, nine, and 13 individuals were, respectively, sampled). Concerning Corsica and Sardinia, continental Italy, and populations from southern France and north-eastern Spain, the same individuals studied by De Giorgi and collaborators [23] and Giacò and collaborators [24,25] were analyzed. A total amount of 506 specimens was analyzed. In Table 5, information concerning all the studied populations is reported. All the studied specimens are conserved in the herbarium of Pisa (PI) (acronym follows Thiers [34]) and HD images of all of them are available at https://www.jacq.org/ (accessed on 9 November 2022).
For each individual, 31 quantitative and nine qualitative characters were measured (Table 6). All of the measurements were taken on dried material with a ruler/digital caliper or with ImageJ v.1.52b (http://rsb.info.nih.gov/ij, accessed on 30 August 2022). In this latter case, a 1200 dpi scan of the portion to measure was obtained. Tomentosity of leaves and stems was measured according to the following procedure: a portion of leaf/stem was photographed with a digital camera mounted on a stereomicroscope. Next, the area covered by tomentum was measured with ImageJ. Finally, the percentage of area covered by tomentum was calculated dividing the area covered by tomentum by the total area. The tomentosity of the non-flowering stems (ss_hair in Table 6) was transformed into an ordered factor using the following classes: 0–5% (hairless or almost hairless), 6–30% (slightly pubescent), 31–60% (pubescent), 61–90% (tomentose), and 91–100% (densely tomentose). The tomentosity of the inter-floral bracts (sq_if_hair in Table 6) was categorized based on the number of hairs: 0–3 (glabrous), 4–10 (slightly pubescent), 11–25 (pubescent), 26–50 (tomentose), and 51 or more (densely tomentose).
The morphological variation of the two cytotypes of S. villosa was graphically visualized with a PCoA based on Gower distance. Next, univariate analyses were conducted to check for possible morphological characters discriminant between the two cytotypes. For characters showing equal variance (Bartlett test with p > 0.05), a t-test was conducted. Instead, for those characters showing unequal variance (Bartlett’s test with p < 0.05), a Welch t-test was conducted. After that, for each significant result (Tukey-Kramer or Welch t-test with p < 0.05), the Cohen’s d index was calculated [35,36]. As in Giacò and collaborators [25], significant results were considered relevant only when Cohen’s d > 1.2, i.e., the two means are distant at least 1.2 standard deviations. Qualitative characters were analyzed with the Fisher’s exact test. The differences were considered significant when p < 0.05.
The analyses concerning the whole complex were carried out by employing a PCA based on mean values for each species. For a better visualization of the biplot, a Pearson correlation test was carried out between all pairs of variables, and highly correlated (r > 0.85) variables were discarded. Next, to check for the robustness of the morphological diagnosability of the two cytotypes of S. villosa and of all the species currently recognized in the S. chamaecyparissus complex, the Random Forest classification method (RF) was used using the R package “randomForest”, considering all species as a priori groups. RF was reiterated 100 times, each time half randomly splitting the dataset in the training and test subsets. Next, univariate analyses have been carried out as described above using the Hochberg’s method to adjust p-values and reduce the family-wise error rate. All statistical analyses were conducted in R environment [37].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants11243458/s1. Table S1: Mean values ± standard deviation for each character and for each studied population in the Santolina chamaecyparissus complex. Table S2: Significantly different morphological character-states in the Santolina chamaecyparissus complex. Table S3: Significantly different morphological character-states in the Santolina chamaecyparissus complex.

Author Contributions

Conceptualization, L.P.; methodology, A.G. and L.P.; software, A.G. and P.D.G.; validation, L.P., M.S., L.S., R.C., G.B. and P.C.; formal analysis, A.G.; investigation, A.G. and L.P.; resources, L.P.; data curation, A.G. and P.D.G.; writing—original draft preparation, A.G.; writing—review and editing, G.A., L.P., M.S., L.S., R.C., G.B. and P.C.; visualization, A.G.; supervision, L.P.; project administration, L.P.; funding acquisition, L.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the “Progetto di Ricerca di Rilevante Interesse Nazionale” (PRIN) “PLAN.T.S. 2.0—towards a renaissance of PLANt Taxonomy and Systematics” led by the University of Pisa under the grant number 2017JW4HZK (Principal Investigator: Lorenzo Peruzzi).

Data Availability Statement

Not applicable.

Acknowledgments

We are grateful to D. De Luca, J. Franzoni, S. Chiletti, S. Cambria, who helped in the sampling of Italian species, and to J. Serapio, E. Guasp, and P. Fraga who helped in the sampling of Spanish species. M. Serrano is grateful for financial support from the Xunta de Galicia (grant ED431B 2021/11).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. PCoA based on Gower distance showing the morphological relationships between the two cytotypes of Santolina villosa, a polyploid species endemic to central-eastern and southern Spain.
Figure 1. PCoA based on Gower distance showing the morphological relationships between the two cytotypes of Santolina villosa, a polyploid species endemic to central-eastern and southern Spain.
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Figure 2. The morphometric analysis of the S. chamaecyparissus complex. PCA based on eight non-correlated variables, considering the mean values scored by each species. BEN = S. benthamiana, CHA = S. chamaecyparissus, COR = S. corsica, DEC = S. decumbens, ERI = S. ericoides, ETR = S. etrusca, INT = S. intricata, LIG = S. ligustica, MAG = S. magonica, NEA = S. neapolitana, PIN = S. pinnata, VED = S. vedranensis, VIL = S. villosa, and VIR = S. virens. br_ratio = ratio between the highest ramification of the flowering stem and fs_len, dist_cap_lf = distance between the highest leaf on the stem and the floral head (mm), flower_len = length of the floral tube (mm), fs_len = length of the flowering stem (cm), fsl_hair = degree of tomentosity of the flowering stem leaf segment (%), fsl_seg_len = length of the segment of the flowering stem leaf (mm), sq_int_len = length of the internal involucral bract (mm), and sq_int_wid = width of the internal involucral bract (mm).
Figure 2. The morphometric analysis of the S. chamaecyparissus complex. PCA based on eight non-correlated variables, considering the mean values scored by each species. BEN = S. benthamiana, CHA = S. chamaecyparissus, COR = S. corsica, DEC = S. decumbens, ERI = S. ericoides, ETR = S. etrusca, INT = S. intricata, LIG = S. ligustica, MAG = S. magonica, NEA = S. neapolitana, PIN = S. pinnata, VED = S. vedranensis, VIL = S. villosa, and VIR = S. virens. br_ratio = ratio between the highest ramification of the flowering stem and fs_len, dist_cap_lf = distance between the highest leaf on the stem and the floral head (mm), flower_len = length of the floral tube (mm), fs_len = length of the flowering stem (cm), fsl_hair = degree of tomentosity of the flowering stem leaf segment (%), fsl_seg_len = length of the segment of the flowering stem leaf (mm), sq_int_len = length of the internal involucral bract (mm), and sq_int_wid = width of the internal involucral bract (mm).
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Figure 3. The pictures of the species of the S. chamaecyparissus complex. (top) From left to right: Santolina benthamiana (France, Occitanie, Prats-de-Mollo, photo by L. Peruzzi), S. chamaecyparissus (Italy, Tuscany, Orto e Museo Botanico di Pisa, photo by P. De Giorgi), S. corsica (Italy, Sardinia, Buggerru, photo by S. Cambria), S. decumbens s.str. (France, Provence-Alpes-Côte d’Azur, Mont Caume, photo by L. Peruzzi), S. ericoides (Spain, Barcelona, Sant Feliu de Codines, photo by L. Sáez), and S. etrusca (Italy, Tuscany, Arcidosso, photo by L. Peruzzi). (bottom) From left to right: Santolina intricata (France, Occitanie, Le Roumenga, photo by L. Peruzzi), S. ligustica (Italy, Liguria, Deiva Marina, photo by G. Astuti), S. magonica (Spain, Mallorca, Cala Mesquida, photo by L. Sáez), S. neapolitana (Italy, Campania, Castellammare di Stabia, photo by P. Caputo), S. pinnata (Italy, Tuscany, Pian della Fioba (Apuan Alps), photo by L. Peruzzi), S. vedranensis (Spain, Es Vedrà (Balearic Islands), and photo by J. Serapio).
Figure 3. The pictures of the species of the S. chamaecyparissus complex. (top) From left to right: Santolina benthamiana (France, Occitanie, Prats-de-Mollo, photo by L. Peruzzi), S. chamaecyparissus (Italy, Tuscany, Orto e Museo Botanico di Pisa, photo by P. De Giorgi), S. corsica (Italy, Sardinia, Buggerru, photo by S. Cambria), S. decumbens s.str. (France, Provence-Alpes-Côte d’Azur, Mont Caume, photo by L. Peruzzi), S. ericoides (Spain, Barcelona, Sant Feliu de Codines, photo by L. Sáez), and S. etrusca (Italy, Tuscany, Arcidosso, photo by L. Peruzzi). (bottom) From left to right: Santolina intricata (France, Occitanie, Le Roumenga, photo by L. Peruzzi), S. ligustica (Italy, Liguria, Deiva Marina, photo by G. Astuti), S. magonica (Spain, Mallorca, Cala Mesquida, photo by L. Sáez), S. neapolitana (Italy, Campania, Castellammare di Stabia, photo by P. Caputo), S. pinnata (Italy, Tuscany, Pian della Fioba (Apuan Alps), photo by L. Peruzzi), S. vedranensis (Spain, Es Vedrà (Balearic Islands), and photo by J. Serapio).
Plants 11 03458 g003aPlants 11 03458 g003b
Figure 4. Small acute apex of leaf segments in Santolina villosa, indicated by the red arrow.
Figure 4. Small acute apex of leaf segments in Santolina villosa, indicated by the red arrow.
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Table 1. The results of univariate analyses contrasting the two cytotypes of the polyploid Spanish endemic Santolina villosa. In this case, fs_len = length of the flowering stem (cm), ss_len = length of the non-flowering stem (cm), sq_if_len = length of the inter-floral bract (mm), ssl_seg_dist = distance between the segments of the non-flowering stem leaf (mm), fs_n_nodes = number of nodes of the flowering stem, ss_n_nodes = number of nodes of the non-flowering stem, ssl_hair = degree of tomentosity of the non-flowering stem leaf segment (%), and fs_hair = degree of tomentosity of the flowering stem (%).
Table 1. The results of univariate analyses contrasting the two cytotypes of the polyploid Spanish endemic Santolina villosa. In this case, fs_len = length of the flowering stem (cm), ss_len = length of the non-flowering stem (cm), sq_if_len = length of the inter-floral bract (mm), ssl_seg_dist = distance between the segments of the non-flowering stem leaf (mm), fs_n_nodes = number of nodes of the flowering stem, ss_n_nodes = number of nodes of the non-flowering stem, ssl_hair = degree of tomentosity of the non-flowering stem leaf segment (%), and fs_hair = degree of tomentosity of the flowering stem (%).
Characterp-ValueCohen’s d Value
fs_len0.0021.03
ss_len0.0130.81
sq_if_len0.0080.87
ssl_seg_dist0.0180.76
fs_n_nodes0.0130.81
ss_n_nodes0.0021.1
ssl_hair0.0240.73
fs_hair0.0200.75
Table 2. The confusion matrix of the Random Forest method using species of the Santolina chamaecyparissus complex as a priori groups. Values are percentages. Ben = S. benthamiana, Cha = S. chamaecyparissus, Cor = S. corsica, Dec = S. decumbens, Eri = S. ericoides, Etr = S. etrusca, Int = S. intricata, Lig = S. ligustica, Mag = S. magonica, Nea = S. neapolitana, Pin = S. pinnata, Ved = S. vedranensis, Vil = S. villosa, and Vir = S. virens.
Table 2. The confusion matrix of the Random Forest method using species of the Santolina chamaecyparissus complex as a priori groups. Values are percentages. Ben = S. benthamiana, Cha = S. chamaecyparissus, Cor = S. corsica, Dec = S. decumbens, Eri = S. ericoides, Etr = S. etrusca, Int = S. intricata, Lig = S. ligustica, Mag = S. magonica, Nea = S. neapolitana, Pin = S. pinnata, Ved = S. vedranensis, Vil = S. villosa, and Vir = S. virens.
BenChaCorDecEriEtrIntLigMagNeaPinVedVilVir
Ben94.7002.20.402.30000.4000
Cha090.01000000000000
Cor0099.30.50.10000.100000
Dec001581.800201.100000
Eri0000100000000000
Etr001.10098.900000000
Int6.804.818.30.1068.701.400000
Lig0000.3000.199.5000000
Mag000.43.8000095.70000.10
Nea006.7000.40.10092.90000
Pin0000000000100000
Ved0022.997.30000.40059.90.40
Vil0001.900000000980
Vir000029.700000000.869.5
Table 3. The mean values ± standard deviation for each species and each quantitative character in the Santolina chamaecyparissus complex. For character codes see Materials and Methods. Ben = S. benthamiana, Cha = S. chamaecyparissus, Cor = S. corsica, Dec = S. decumbens, Eri = S. ericoides, Etr = S. etrusca, Int = S. intricata, Lig = S. ligustica, Mag = S. magonica, Nea = S. neapolitana, Pin = S. pinnata, Ved = S. vedranensis, Vil = S. villosa, and Vir = S. virens.
Table 3. The mean values ± standard deviation for each species and each quantitative character in the Santolina chamaecyparissus complex. For character codes see Materials and Methods. Ben = S. benthamiana, Cha = S. chamaecyparissus, Cor = S. corsica, Dec = S. decumbens, Eri = S. ericoides, Etr = S. etrusca, Int = S. intricata, Lig = S. ligustica, Mag = S. magonica, Nea = S. neapolitana, Pin = S. pinnata, Ved = S. vedranensis, Vil = S. villosa, and Vir = S. virens.
CharacterBenChaCorDecEriEtrInt
fs_len (cm)22.9 ± 9.216.7 ± 2.615.2 ± 5.112.5 ± 5.319.3 ± 5.526.9 ± 621.7 ± 6.3
br_ratio0 ± 00.1 ± 0.10.4 ± 0.30.1 ± 0.20.1 ± 0.20.8 ± 0.10.1 ± 0.2
dist_cap_lf (cm)44.2 ± 26.741.9 ± 11.627.2 ± 16.516.5 ± 10.127.9 ± 15.322.1 ± 11.535 ± 12.1
ss_len (cm)11.8 ± 5.210.4 ± 2.88.9 ± 3.98.0 ± 3.115.6 ± 6.516.8 ± 5.516.5 ± 6.4
cap_diam (mm)6.6 ± 1.37.0 ± 0.46.3 ± 1.36.8 ± 0.96.8 ± 1.15.9 ± 0.86.8 ± 1.1
sq_ext_len (mm)2.8 ± 0.63.2 ± 0.53.1 ± 0.42.9 ± 0.42.8 ± 0.42.9 ± 0.33.1 ± 0.5
sq_ext_wid (mm)1.1 ± 0.21.6 ± 0.21.3 ± 0.21.2 ± 0.21.0 ± 0.21.1 ± 0.21.1 ± 0.2
sq_int_len (mm)2.8 ± 0.53.8 ± 0.33.1 ± 0.43.1 ± 0.43.1 ± 0.43.2 ± 0.33.1 ± 0.4
sq_int_wid (mm)1.3 ± 0.41.7 ± 0.21.4 ± 0.31.2 ± 0.21.3 ± 0.21.2 ± 0.21.2 ± 0.2
sq_if_len (mm)3.0 ± 0.33.7 ± 0.43.3 ± 0.53.0 ± 0.32.9 ± 0.33.3 ± 0.33.0 ± 0.4
sq_if_wid (mm)1.1 ± 0.21.2 ± 0.21.0 ± 0.21.0 ± 0.21.1 ± 0.20.9 ± 0.21.0 ± 0.2
flower_len (mm)3.4 ± 0.44.3 ± 0.33.2 ± 0.43.3 ± 0.53.5 ± 0.53.7 ± 0.53.2 ± 0.4
fl_th_len (mm)0.8 ± 0.10.6 ± 0.10.7 ± 0.10.7 ± 0.10.6 ± 0.31.0 ± 0.10.7 ± 0.1
ssl_len (mm)26.8 ± 9.923.0 ± 3.429.8 ± 9.516.5 ± 6.211.0 ± 2.942.8 ± 9.921.3 ± 5.9
ssl_pet_len (mm)5.7 ± 2.13.0 ± 0.83.4 ± 1.72.7 ± 1.61.1 ± 0.85.1 ± 2.64.0 ± 2.3
ssl_seg_len (mm)4.2 ± 1.51.5 ± 0.21.3 ± 0.41.2 ± 0.61.3 ± 0.52.4 ± 0.62.9 ± 1.0
ssl_seg_wid (mm)0.5 ± 0.10.8 ± 0.10.6 ± 0.10.4 ± 0.10.4 ± 0.10.4 ± 0.10.5 ± 0.1
ssl_seg_dist (mm)1.6 ± 0.70.8 ± 0.20.8 ± 0.40.6 ± 1.10.5 ± 0.21.1 ± 0.41.1 ± 0.3
fsl_len (mm)21.6 ± 8.913.6 ± 2.220.8 ± 8.311.9 ± 4.111.0 ± 3.228.4 ± 5.418.9 ± 5.8
fsl_pet_len (mm)6.4 ± 3.35.4 ± 1.23.1 ± 1.61.9 ± 1.11.2 ± 0.82.8 ± 1.73.4 ± 2.4
fsl_seg_len (mm)2.6 ± 0.91.2 ± 0.21.0 ± 0.40.9 ± 0.51.2 ± 0.41.9 ± 0.42.3 ± 0.7
fsl_seg_wid (mm)0.5 ± 0.10.6 ± 0.10.5 ± 0.20.4 ± 0.10.4 ± 0.10.3 ± 0.10.5 ± 0.1
fsl_seg_dist (mm)1.6 ± 0.90.4 ± 0.30.5 ± 0.30.4 ± 0.30.6 ± 0.20.9 ± 0.41.0 ± 0.3
fs_n_br0 ± 01.0 ± 1.22.4 ± 3.20.3 ± 0.80.3 ± 0.93.1 ± 1.70.5 ± 1.2
fs_n_nodes21.0 ± 3.312.9 ± 2.515.6 ± 4.219.2 ± 524.5 ± 5.124.4 ± 2.822.0 ± 4.3
ss_n_nodes20.7 ± 4.716.0 ± 3.216.2 ± 4.017.2 ± 4.026.5 ± 7.124.9 ± 4.823.0 ± 6.5
ssl_n_seg29.7 ± 8.845.6 ± 6.499.9 ± 32.261.4 ± 14.138.4 ± 9.695.8 ± 20.041.5 ± 8.9
fsl_n_seg19.4 ± 5.414.3 ± 3.569.6 ± 29.239.4 ± 9.334.7 ± 8.967.8 ± 12.431.8 ± 8.0
ssl_hair0.5 ± 0.20.9 ± 0.10.8 ± 0.20.8 ± 0.20.2 ± 0.20.5 ± 0.20.8 ± 0.1
fsl_hair0.2 ± 0.20.4 ± 0.10.4 ± 0.20.5 ± 0.30.1 ± 0.10.1 ± 0.20.7 ± 0.2
fs_hair0.2 ± 0.10.2 ± 0.10.4 ± 0.20.7 ± 0.20.3 ± 0.20.4 ± 0.20.6 ± 0.1
fsl_seg_ratio5.8 ± 1.62.0 ± 0.32.0 ± 0.72.5 ± 1.13.3 ± 1.15.8 ± 1.64.5 ± 1.6
ssl_seg_ratio8.6 ± 2.72.1 ± 0.42.4 ± 0.92.9 ± 1.63.4 ± 1.26.3 ± 1.75.8 ± 2.0
CharacterLigMagNeaPinVedVilVir
fs_len (cm)17.9 ± 4.610.4 ± 2.720.1 ± 3.423.3 ± 4.610.8 ± 3.516.1 ± 4.121.4 ± 4.2
br_ratio0.7 ± 0.20.4 ± 0.30.5 ± 0.30.4 ± 0.20 ± 0.10.1 ± 0.10.2 ± 0.2
dist_cap_lf (cm)16.0 ± 8.912.1 ± 6.227.1 ± 12.565.4 ± 26.021.1 ± 10.031.3 ± 1461.2 ± 24.5
ss_len (cm)10.6 ± 4.17.9 ± 2.78.7 ± 3.46.4 ± 3.96.2 ± 3.38.9 ± 3.69.0 ± 3.8
cap_diam (mm)4.0 ± 0.65.3 ± 0.76.2 ± 1.06.1 ± 1.36.9 ± 1.27.3 ± 0.86.8 ± 1.1
sq_ext_len (mm)2.7 ± 0.52.8 ± 0.52.7 ± 0.43.1 ± 0.43.4 ± 0.53.0 ± 0.53.2 ± 0.7
sq_ext_wid (mm)0.9 ± 0.11.2 ± 0.31.1 ± 0.31.2 ± 0.11.5 ± 0.51.2 ± 0.31.5 ± 0.2
sq_int_len (mm)2.6 ± 0.33.2 ± 0.42.8 ± 0.33.4 ± 0.53.8 ± 0.73.8 ± 0.43.2 ± 0.1
sq_int_wid (mm)0.9 ± 0.11.6 ± 0.21.1 ± 0.21.2 ± 0.21.4 ± 0.21.5 ± 0.21.2 ± 0.3
sq_if_len (mm)2.6 ± 0.32.7 ± 0.32.7 ± 0.23.1 ± 0.33.2 ± 0.43.4 ± 0.43.0 ± 0.1
sq_if_wid (mm)0.8 ± 0.11.2 ± 0.21.0 ± 0.21.0 ± 0.21.2 ± 0.31.2 ± 0.20.9 ± 0.3
flower_len (mm)2.6 ± 0.33.1 ± 0.53.0 ± 0.43.5 ± 0.63.7 ± 0.53.3 ± 0.42.9 ± 0.7
fl_th_len (mm)0.8 ± 0.10.7 ± 0.11.0 ± 0.11.0 ± 0.20.7 ± 0.10.6 ± 0.10.5 ± 0.1
ssl_len (mm)34.0 ± 9.210 ± 2.643.8 ± 6.341.9 ± 8.720.4 ± 7.411.8 ± 2.514.6 ± 2.2
ssl_pet_len (mm)7.6 ± 2.21.2 ± 0.66.7 ± 2.46.3 ± 2.51.0 ± 1.01.4 ± 0.93.1 ± 1.4
ssl_seg_len (mm)3.0 ± 0.90.9 ± 0.43.7 ± 1.24.6 ± 1.30.8 ± 0.20.8 ± 0.30.8 ± 0.3
ssl_seg_wid (mm)0.4 ± 0.10.5 ± 0.10.4 ± 0.10.5 ± 0.10.4 ± 0.10.5 ± 0.10.4 ± 0.1
ssl_seg_dist (mm)1.2 ± 0.50.3 ± 0.21.1 ± 0.51.4 ± 0.70.5 ± 0.30.3 ± 0.20.8 ± 0.1
fsl_len (mm)22.3 ± 5.88.3 ± 1.729.1 ± 5.730.5 ± 5.416.6 ± 8.212.1 ± 2.213.2 ± 0.8
fsl_pet_len (mm)5.6 ± 2.51.2 ± 0.64.4 ± 2.45.1 ± 2.10.7 ± 0.81.0 ± 0.82.0 ± 0.9
fsl_seg_len (mm)2.3 ± 0.70.8 ± 0.32.6 ± 0.73.7 ± 0.60.6 ± 0.30.8 ± 0.20.6 ± 0.2
fsl_seg_wid (mm)0.4 ± 0.10.4 ± 0.10.4 ± 0.10.4 ± 0.10.4 ± 0.10.4 ± 0.10.4 ± 0.1
fsl_seg_dist (mm)1.2 ± 0.30.3 ± 0.20.9 ± 0.41.3 ± 0.40.6 ± 0.40.4 ± 0.10.6 ± 0.1
fs_n_br4.2 ± 3.51.9 ± 1.92.8 ± 2.11.8 ± 1.40.2 ± 0.60.4 ± 12 ± 2.4
fs_n_nodes20.2 ± 3.418.8 ± 3.616.7 ± 2.818.8 ± 3.616.8 ± 4.517.2 ± 225.2 ± 1.5
ss_n_nodes20.0 ± 3.918.6 ± 3.817.1 ± 4.120 ± 617.8 ± 7.015.2 ± 2.919.2 ± 4.6
ssl_n_seg53.5 ± 10.845.6 ± 11.883.2 ± 16.152.3 ± 13.573.6 ± 17.448.3 ± 11.233.5 ± 10.9
fsl_n_seg33 ± 8.940.3 ± 12.360.2 ± 13.534.5 ± 9.059.8 ± 20.048.3 ± 9.438.5 ± 9.6
ssl_hair0.8 ± 0.10.7 ± 0.20.8 ± 0.10 ± 00 ± 00.4 ± 0.20 ± 0
fsl_hair0.7 ± 0.20.6 ± 0.30.6 ± 0.30 ± 00 ± 00.3 ± 0.20 ± 0
fs_hair0.9 ± 0.10.7 ± 0.20.7 ± 0.20 ± 00.3 ± 0.20.7 ± 0.10 ± 0
fsl_seg_ratio5.9 ± 2.22 ± 0.66.7 ± 1.79.3 ± 2.21.6 ± 0.81.8 ± 0.61.5 ± 0.6
ssl_seg_ratio7.6 ± 2.21.9 ± 0.68.9 ± 3.39.7 ± 2.21.7 ± 0.61.8 ± 0.72.3 ± 1.3
Table 4. Identification key for all the taxa of the Santolina chamaecyparissus complex.
Table 4. Identification key for all the taxa of the Santolina chamaecyparissus complex.
1aLeaves of the non-flowering stems green, glabrous or scarcely pubescent (white-tomentose, at most, only on the central axis) 2
1bLeaves of the non-flowering stems grey or white-tomentose, both on the central axis and on the leaf segments 6
2aLeaves of the non-flowering stems with segments >2 mm long 3
2bLeaves of the non-flowering stems with segments <2 mm long 4
3aSegments with acute apex. Flowers white S. pinnata Viv.
3bSegments with rounded apex. Flowers yellow S. benthamiana Jord. & Fourr.
4aSegments with acute apex S. virens Mill. (rarely used as ornamental)
4bSegments with rounded apex 5
5aLeaves of the non-flowering stems 15–30 mm long, with 50–100 segments 0.5–1 mm long S. vedranensis (O.Bolòs & Vigo) L.Sáez, M.Serrano, S.Ortiz & R.Carbajal
5bLeaves of the non-flowering stems 5–20 mm long, with 20–60 segments 0.5–2 mm long S. ericoides Poir.
6aInvolucre 3–5 mm wide and leaf segments of the non-flowering stems 2–6 mm long. Flowers white S. ligustica Arrigoni
6bInvolucre 5–8(–10) mm wide, or involucre 3–5 mm wide coupled with leaf segments <2 mm long. Flowers yellow 7
7aLeaves of the non-flowering stems >25 mm long and with more than 65 segments, 0.4–2 mm spaced-out 8
7bCharacters never in combination as above 10
8aLeaf segments of the flowering stems 0.5–1.5(–2) mm long. Leaf segments of the non-flowering stems 0.5–2 mm long. Floral teeth <1 mm long S. corsica Jord. & Fourr.
8bLeaf segments of the flowering stems 1.5–4 mm long. Leaf segments of the non-flowering stems 1.5–5(–8) mm long. Floral teeth often >1 mm long 9
9aFlowering stems branched in the upper portion, the highest branch often at more than 3/4 of the stem. Non-flowering stems 10–30 cm long. Leaves of the flowering stems with segments 1.5–2.5 mm long. Flowers pale yellow S. etrusca (Lacaita) Marchi & D’Amato
9bFlowering stems branched or not branched. If branched, the highest branch never at more than 3/4 of the stem. Non-flowering stems mostly shorter than 10 cm. Leaves of the flowering stems with segments 1.5–4 mm long. Flowers yellowS. neapolitana Jord. & Fourr.
10a Leaf segments with a small acute apex (see through a magnifying glass) (Figure 4) S. villosa Mill.
10b Leaf segments rounded at apex 11
11a Leaves of the non-flowering stems <18 mm long and capitula not totally covered by the flowers in lateral view S. magonica (O.Bolòs, Molin. & P.Monts.) Romo
11b Leaves of the non-flowering stems >18 mm long, or leaves of the non-flowering stems <18 mm coupled with capitula covered by the flowers in lateral view 12
12a Leaf segments of the flowering stem >2.5 times longer than wide and leaves with ≤65 segments 13
12b Leaf segments of the flowering stem <2.5 times longer than wide, or >2.5 but number of segments >65 14
13a Leaves of the non-flowering stems with 25–65, 0.8–2 mm spaced-out segments. Segments of the flowering stem leaves 1.5–3 mm long, 0.5–1.5 mm spaced-out S. intricata Jord. & Fourr.
13b Leaves of the non-flowering stems with 50–80, <1 mm spaced-out, appressed segments. Segments of the flowering stem leaves 0.5–2 mm long, 0–1.0 mm spaced-out S. decumbens subsp. diversifolia (Jord. & Fourr.) Giacò & Peruzzi
14a Leaves of the non-flowering stems >20 mm long 15
14b Leaves of the non-flowering stems <20 mm long 16
15a Flowering stems white, tomentose as (or almost as) the non-flowering stems S. decumbens Mill. subsp. decumbens
15b Flowering stems green, clearly less tomentose than the non-flowering stems S. decumbens subsp. tisoniana Giacò & Peruzzi
16a Tubular portion of the flowers usually <4 mm long. Leaves of the flowering stems with 20–150 segments, 10–45 mm long. Pollen vital S. corsica Jord. & Fourr.
16b Tubular portion of the flowers usually >4 mm long. Leaves of the flowering stems with 10–20(–40) segments, 10–20 mm long. Pollen aborted. S. chamaecyparissus L. (widely used as ornamental)
Table 5. The information concerning the populations of the Santolina chamaecyparissus complex analyzed in this study.
Table 5. The information concerning the populations of the Santolina chamaecyparissus complex analyzed in this study.
SpeciesNPopulationVouchers
S. benthamiana20France, Occitanie, Prats-de-Mollo-la-Preste
[WGS84: 42.407222 N, 2.523055 E]
A. Giacò, L. Peruzzi, 29 June 2020, PI 043080–043098, [25]
S. chamaecyparissus9France, Provence-Alpes-Côte d’Azur, Le Luc
[WGS84: 43.354166 N, 6.412222 E]
A. Giacò, L. Peruzzi, 30 June 2020, PI 034970–034974, [23]
S. corsica20France, Corsica, Mont Pigno
[WGS84: 42.7066667 N, 9.407777 E]
A. Giacò, L. Peruzzi, 7 July 2020, PI 036636–036647, [23]
S. corsica20Italy, Sardinia, Monte Albo
[WGS84: 40.537853 N, 9.615131 E]
G. Calvia et al., 19 June 2020, PI 036122–036136, [23]
S. corsica20Italy, Sardinia, Buggerru
[WGS84: 39.393611 N, 8.391666 E]
G. Bacchetta et al., 14 June 2020, PI 036613–036625, [23]
S. corsica20Italy, Sardinia, San Benedetto (Iglesias)
[WGS84: 39.360311 N, 8.558333 E]
G. Bacchetta et al., 14 June 2020, PI 036068–036085, [23]
S. corsica20Italy, Sardinia, Laconi
[WGS84: 39.847483 N, 9.071944 E]
G. Bacchetta et al., 15 June 2020, PI 036052–036067, [23]
S. corsica20Italy, Sardinia, Monte Spada
[WGS84: 40.058586 N, 9.293333 E]
G. Bacchetta et al., 14 June 2020, PI 036106–036121, [23]
S. corsica20Italy, Sardinia, Monte Corrasi
[WGS84: 40.256878 N, 9.426253 E]
G. Bacchetta et al., 14 June 2020, PI 036648–036663, [23]
S. decumbens
(subsp. decumbens)
20France, Provence-Alpes-Côte d’Azur, Mont Caume [WGS84: 43.184768 N, 5.908187 E]A. Giacò, L. Peruzzi, 27 June 2020, PI 043107–043118, [25]
S. decumbens
(subsp. diversifolia)
20France, Provence-Alpes-Côte d’Azur, Sisteron
[WGS84: 44.153341 N, 5.953744 E]
A. Giacò, L. Peruzzi, 11 July 2021, PI 053348–053364, [25]
S. decumbens
(subsp. tisoniana)
20France, Provence-Alpes-Côte d’Azur, La Fare-les-Oliviers [WGS84: 43.539610 N, 5.172029]A. Giacò, L. Peruzzi, 28 June 2020, PI 043099–043106, [25]
S. ericoides20France, Occitanie, Béziers
[WGS84: 43.28959 N 3.18539 E]
A. Giacò, L. Peruzzi, 28 June 2020, PI 036086–036100, [25]
S. ericoides20Spain, Barcelona province, Sant Feliu de Codines [WGS84: 41.692294 N, 2.174761 E]L. Sáez, 7 July 2020, PI 043077, PI 057135–057154, [25]
S. ericoides20Spain, Lleida province, Torà
[WGS84: 41.814325 N, 1.404588 E]
L. Sáez, 13 July 2020, PI 043076, PI 057115–057134, [25]
S. etrusca20Italy, Tuscany, Radicofani
[WGS84: 42.954283 N, 11.778340 E]
G. Astuti, P. De Giorgi, 14 July 2020, PI 040480–040501, [24]
S. etrusca20Italy, Lazio, Bassano in Teverina
[WGS84: 42.487438 N, 12.327856 E]
G. Astuti, P. De Giorgi, 14 July 2020, PI 040468–040479, [24]
S. intricata20France, Occitanie, Montalba-le-Château, Le Roumenga [WGS84: 42.699054 N, 2.552235 E]A. Giacò, L. Peruzzi, 28 June 2020, PI 043079, PI 057098–057114, [25]
S. ligustica20Italy, La Spezia, Levanto
[WGS84: 44.230000 N, 9.589120 E]
G. Astuti, S. Chiletti, 22 July 2019, PI 030947–030971, [24]
S. magonica20Spain, Balearic Islands, Menorca, Cala Tirant
[WGS84: 40.045132 N, 4.102162 E]
P. Fraga, 9 July 2020, PI 043078, PI 056632–056651
S. magonica20Spain, Balearic Islands, Mallorca, Cala Mesquida
[WGS84: 39.7458333 N, 3.4319444 E]
E. Guasp, 28 June 2020, PI 043119–043127
S. neapolitana20Italy, Campania, Castellammare di Stabia
[WGS84: 40.658447 N, 14.498790 E]
P. Caputo, D. De Luca, 7 August 2020, PI 040502–040521, [24]
S. pinnata20Italy, Tuscany, Apuan Alps, Forno
[WGS84: 44.084178 N, 10.183817 E]
G. Astuti, P. De Giorgi, 9 July 2020, PI 040442–040461, [24]
S. vedranensis13Spain, Balearic Islands, Es Vedrà
[WGS84: 38.867298 N, 1.196176 E]
J. Serapio, 20 July 2020, PI 043075–057906
S. villosa (4x)20Spain, Madrid, Arganda del Rey
[WGS84: 40.332155 N, 3.435883 W]
M. Serrano, 10 August 2021, PI 053328–053347
S. villosa (6x)20Spain, Granada, Gor
[WGS84: 37.403440 N, 3.009413 W]
R. Carballal, 10 July 2021, PI 056652–056672
S. virens4Spain, Burgos, Fuentenebro
[WGS84: 41.516782 N, 3.756607 W]
M. Serrano, 16 June 2021, PI 049949–049952
Table 6. The morphometric characters analyzed in the Santolina chamaecyparissus complex. QC = quantitative continuous, QD = quantitative discrete, CO = ordered factor, CN = nominal, CB = binary.
Table 6. The morphometric characters analyzed in the Santolina chamaecyparissus complex. QC = quantitative continuous, QD = quantitative discrete, CO = ordered factor, CN = nominal, CB = binary.
CodeDescription of the CharacterTypeTool
Vegetative Parts
fs_lenLength of the flowering stem (cm)QCRuler
br_ratioRatio between the highest ramification of the flowering stem and fs_lenQCRuler
dist_cap_lfDistance between the highest leaf on the stem and the floral head (mm)QCCaliper
fs_n_brNumber of branches of the flowering stemQD
br_typeType of branch (no branch/parallel/or erect-patent)CN
fs_n_nodesNumber of nodes of the flowering stemQD
ss_lenLength of the non-flowering stem (cm)QCRuler
ss_n_nodesNumber of nodes of the non-flowering stemQD
ss_hairTomentosity of the non-flowering stem (hairless/slightly pubescent/pubescent/hairy/densely hairy)COImageJ
fs_hairDegree of tomentosity of the flowering stem (%)QCImageJ
fsl_n_segNumber of segments on the flowering stem leaf (the longest)QD
ssl_n_segNumber of segments on the non-flowering stem leaf (the longest)QD
ssl_lenLength of the non-flowering stem leaf (mm)QCImageJ
ssl_pet_lenLength of the petiole of the non-flowering stem leaf (mm)QCImageJ
ssl_seg_lenLength of the segment of the non-flowering stem leaf (mm)QCImageJ
ssl_seg_distDistance between the segments of the non-flowering stem leaf (mm)QCImageJ
ssl_seg_typeSegment of the non-flowering stem pointed at apex (Yes/No)CB
fsl_lenLength of the flowering stem leaf (mm)QCImageJ
fsl_pet_lenLength of the petiole of the flowering stem leaf (mm)QCImageJ
fsl_seg_lenLength of the segment of the flowering stem leaf (mm)QCImageJ
fsl_seg_distDistance between the segments of the flowering stem leaf (mm)QCImageJ
fsl_seg_typeSegment of the flowering stem pointed at apex (Yes/No)CB
ssl_hairDegree of tomentosity of the non-flowering stem leaf segment (%)QCImageJ
fsl_hairDegree of tomentosity of the flowering stem leaf segment (%)QCImageJ
fsl_seg_ratioRatio between the length and the width of the segment of the flowering stem leaf
ssl_seg_ratioRatio between the length and the width of the segment of the non-flowering stem leaf
Floral Head
cap_diamDiameter of the floral head involucre (mm)QCCaliper
fl_colColour of the flowers (white/pale yellow/yellow)CO
fl_typeFlowers totally covering the involucre (Yes/No)CB
flower_lenLength of the floral tube (mm)QCImageJ
fl_th_lenLength of the floral tooth (mm)QCImageJ
sq_ext_lenLength of the external involucral bract (mm)QCImageJ
sq_ext_widWidth of the external involucral bract (mm)QCImageJ
sq_int_lenLength of the internal involucral bract (mm)QCImageJ
sq_int_widWidth of the internal involucral bract (mm)QCImageJ
sq_if_lenLength of the inter-floral bract (mm)QCImageJ
sq_if_widWidth of the inter-floral bract (mm)QCImageJ
sq_if_n_hairTomentosity of the inter-floral bract (hairless/slightly pubescent/pubescent/hairy/densely hairy)COImageJ
sq_ext_hairTomentosity of the external involucral bract (hairless/only on the margin/everywhere)COImageJ
sq_int_hairTomentosity of the internal involucral bract (hairless/only on the margin/everywhere)COImageJ
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Giacò, A.; De Giorgi, P.; Astuti, G.; Caputo, P.; Serrano, M.; Carballal, R.; Sáez, L.; Bacchetta, G.; Peruzzi, L. A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae). Plants 2022, 11, 3458. https://doi.org/10.3390/plants11243458

AMA Style

Giacò A, De Giorgi P, Astuti G, Caputo P, Serrano M, Carballal R, Sáez L, Bacchetta G, Peruzzi L. A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae). Plants. 2022; 11(24):3458. https://doi.org/10.3390/plants11243458

Chicago/Turabian Style

Giacò, Antonio, Paola De Giorgi, Giovanni Astuti, Paolo Caputo, Miguel Serrano, Rodrigo Carballal, Llorenç Sáez, Gianluigi Bacchetta, and Lorenzo Peruzzi. 2022. "A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae)" Plants 11, no. 24: 3458. https://doi.org/10.3390/plants11243458

APA Style

Giacò, A., De Giorgi, P., Astuti, G., Caputo, P., Serrano, M., Carballal, R., Sáez, L., Bacchetta, G., & Peruzzi, L. (2022). A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae). Plants, 11(24), 3458. https://doi.org/10.3390/plants11243458

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