Skip to main content
Annals of Botany logoLink to Annals of Botany
. 2012 Dec 30;111(3):361–373. doi: 10.1093/aob/mcs286

Spatio-temporal history of the disjunct family Tecophilaeaceae: a tale involving the colonization of three Mediterranean-type ecosystems

Sven Buerki 1,*, John C Manning 2,3, Félix Forest 1
PMCID: PMC3579441  PMID: 23277471

Abstract

Background and Aims

Tecophilaeaceae (27 species distributed in eight genera) have a disjunct distribution in California, Chile and southern and tropical mainland Africa. Moreover, although the family mainly occurs in arid ecosystems, it has colonized three Mediterranean-type ecosystems. In this study, the spatio-temporal history of the family is examined using DNA sequence data from six plastid regions.

Methods

Modern methods in divergence time estimation (BEAST), diversification (LTT and GeoSSE) and biogeography (LAGRANGE) are applied to infer the evolutionary history of Tecophilaeaceae. To take into account dating and phylogenetic uncertainty, the biogeographical inferences were run over a set of dated Bayesian trees and the analyses were constrained according to palaeogeographical evidence.

Key Results

The analyses showed that the current distribution and diversification of the family were influenced primarily by the break up of Gondwana, separating the family into two main clades, and the establishment of a Mediterranean climate in Chile, coinciding with the radiation of Conanthera. Finally, unlike many other groups, no shifts in diversification rates were observed associated with the dispersals in the Cape region of South Africa.

Conclusions

Although modest in size, Tecophilaeaceae have a complex spatio-temporal history. The family is now most diverse in arid ecosystems in southern Africa, but is expected to have originated in sub-tropical Africa. It has subsequently colonized Mediterranean-type ecosystems in both the Northern and Southern Hemispheres, but well before the onset of the Mediterranean climate in these regions. Only one lineage, genus Conanthera, has apparently diversified to any extent under the impetus of a Mediterranean climate.

Keywords: Biogeography, California, Chile, disjunct distribution, Greater Cape region, Mediterranean climate, Tecophilaeaceae

INTRODUCTION

Tecophilaeaceae are a small family of eight genera and 27 species of perennial herbs with a cormous, usually tunicated rootstock, mostly basal or rarely cauline leaves and long-lasting, often colourful flowers, typically in racemose or paniculate, cymose inflorescences, but sometime solitary and axillary. The flowers are actinomorphic or zygomorphic, with 3 + 3 petaloid tepals fused into a short tube adnate to the ovary, and six stamens, all fertile or some reduced to staminodes, with more or less porose dehiscence. The ovary is inferior or semi-inferior and tricarpellate, and matures into a loculicidal capsule (Ravenna, 1988; Simpson and Rudall, 1998; Manning and Goldblatt, 2012).

The family has an unusual, highly disjunct distribution in California, Chile and southern and tropical mainland Africa (Simpson and Rudall, 1998). Furthermore, the absence of the family in south-western Australia is noteworthy given its presence in other Southern Hemisphere Mediterranean-climate regions. The reported occurrence of the family in Madagascar is based on Walleria paniculata Fritsch, a synonym of Dianella ensifolia (L.) DC. (Xanthorrhoeaceae sensu Chase et al., 2009; Manning and Goldblatt, 2012). Tecophilaeaceae are best represented in Africa, where almost two-thirds of the species are found (Manning and Goldblatt, 2012). Cyanastrum Oliv. (three species) and Kabuyea Brummit (one species) are strictly tropical in wooded and forested habitats, but Walleria J.Kirk (three species), Eremiolirion J.C.Manning & F.Forest (one species) and Cyanella Royen ex L. (nine species) are primarily distributed in sub-tropical and temperate southern African grasslands and open shrublands. The New World taxa comprise Odontostomum Torr. (one species) from north-central California, and Conanthera Ruíz & Pav. (five species) and Zephyra D.Don (=Tecophilaea Bertero & Colla) (four species) from Chile. In addition to their highly disjunct distribution, Tecophilaeaceae are found in three of the five major Mediterranean-type ecosystems: California, Chile and the Cape of South Africa.

With the small size, unusual distribution and occurrence in three major Mediterranean-type climate regions, as well as in tropical, sub-tropical and arid ecosystems, an understanding of the spatio-temporal history of Tecophilaeaceae will provide additional information about the evolutionary mechanisms that shaped the establishment of the current Mediterranean floras. We apply modern methods in divergence time, biogeography and diversification to investigate the spatio-temporal history of Tecophilaeaceae based on plastid DNA sequences for 21 of the 27 species in the family. We accommodated uncertainty in our estimates of phylogenetic and divergence times while inferring the biogeographical scenario of the family, following recommendations by Buerki et al. (2011) and Espindola et al. (2012). In addition, ancestral area reconstructions were constrained by applying a stratified palaeogeographical model adapted from Buerki et al. (2011). Because we have covered almost all described taxa, shifts in diversification rates were investigated by inspecting lineage-through-time curves (LTT curves). The influence of ecology (arid, tropical to sub-tropical and Mediterranean-type ecosystems) on the diversification of the family was examined based on the Geographic State Speciation and Extinction model (GeoSSE; Goldberg et al., 2011).

MATERIALS AND METHODS

Taxon sampling

One hundred and thirty-six (124 for the ingroup) sequences were generated for the present study. See Appendix 1 for voucher information and GenBank accession numbers. Nineteen species of Tecophilaeaceae were sampled, representing all eight genera (see Appendix 2). We also include Conanthera sabulosa and C. variegata, which are considered as synonyms of C. campanulata by some authors; preliminary analyses showed that these taxa did not form a monophyletic group with C. campanulata, thus casting some doubts on the validity of their synonymization. Outgroup taxa were selected based on previous phylogenetic studies of Asparagales (e.g. Fay et al., 2000; Pires et al., 2006; Seberg et al., 2012) and include representatives of Doryanthaceae, Iridaceae and Ixioliriaceae (see Appendix 1).

DNA sequencing and alignment

Total genomic DNA was extracted from 0·03–0·3 g of silica gel-dried plant material or 0·25–1·25 g of fresh material using a modified version of the 2× cetyltrimethyl ammonium bromide (CTAB) method (Doyle and Doyle, 1987). The total DNA was further purified for long-term storage in the DNA Bank at RBG Kew using a caesium chloride/ethidium bromide gradient (1·55 g mL−1) followed by a dialysis procedure.

To infer phylogenetic relationships in Tecophilaeaceae, six plastid regions were sequenced: two coding regions (matK; rbcL), two introns (rpl16; trnL) and two intergenic spacers (atpB–rbcL; trnL–trnF). The trnL intron and trnL–F spacer were generally amplified in one reaction using primers c and f, but in some cases the intron (primers c and d) and the intergenic spacer (primers e and f) were amplified separately (all primers are from Taberlet et al., 1991). Amplification of the rbcL coding region was performed using a combination of primers, usually in one PCR using primers 1F and 1360R, but also using internal primers in some cases (Fay et al., 1998; Reeves et al., 2001). A portion of the matK coding region (about 850 bp in length) was amplified using primers XF and 5R (see www.kew.org/barcoding). Primers atpB-2R and rbcL-1R (reverse complement of primers from Savolainen et al., 2000) were used to amplify the atpB–rbcL intergenic spacer. Amplification of the rpl16 intron was performed using primers rpl16F71 and rpl16R1516 from Shaw et al. (2005).

For the trnL intron, trnL–F intergenic spacer, and rbcL and matK coding regions, 50 µL PCRs were prepared using the ReddyMix PCR Master Mix (2·5 mm MgCl2; ABgene, Epsom, Surrey, UK) with the addition of 1 µL of bovine serum albumin (BSA; 0·4 %) and 50 ng of each primer. For the atpB–rbcL spacer, a 50 µL PCR was prepared using 2 U of Taq polymerase (Bioline, London, UK), NH4 reaction buffer (supplied by the manufacturer), 1·5 mm MgCl2, 50 ng of each primer, 10 nm of dNTPs and 1 µL of 0·4 % BSA. The 20 µL PCR mix used to amplify rpl16 contained 2 U of Taq polymerase (Bioline), NH4 reaction buffer (supplied by the manufacturer), 2·5 mm MgCl2, 50 ng of each primer, 10 nm of dNTPs and 4 µL of 0·4 % BSA. PCR for the trnL intron, trnL–F and atpB–rbcL intergenic spacers and rbcL was performed using the following program: 2 min at 94 °C, 32 cycles of 1 min at 94 °C, annealing at 50 °C for 1 min, 1·5 min at 72 °C, and a final extension of 3 min at 72 °C. PCR conditions for matK were as follows: initial denaturation at 94 °C for 2 min, followed by 32 cycles of 1 min at 94 °C, 1 min at 53 °C, 1·5 min at 72 °C, and a final elongation of 4 min at 72 °C. Amplification of the rpl16 intron was performed as follows: 3 min at 94 °C, 32 cycles of 1 min at 94 °C, annealing at 52 °C for 1 min, 3 min at 72 °C, and a final extension of 7 min at 72 °C. All PCR amplifications were performed on a 9700 GeneAmp thermocycler (ABI; Warrington, Cheshire, UK).

All PCR products were purified with either the QIAquick PCR kit (Qiagen) or the Nucleospin Extract II kit (Machery-Nagel, Germany) and following the manufacturers' protocols. Cycle sequencing reactions were performed in 10 µL reactions using 1 µL of BigDye® Terminator cycle sequencing chemistry (v3·1; ABI; Warrington, Cheshire, UK) and the same primers as for PCR. Complementary strands were sequenced on an ABI 377, ABI 3100 or ABI 3730 automated sequencer.

Phylogenetic and divergence time estimation

A temporal framework for the evolution of Tecophilaeaceae was provided using the Bayesian inference approach implemented in the package BEAST v.1·5·4 (Drummond and Rambaut, 2007). Because the six DNA regions are all part of the plastid genome, we considered them as one partition in the BEAST analysis. The best-fit evolutionary model for the partition was determined using the Akaike information criterion (AIC) as implemented in MrModeltest (Nylander, 2004). The best-fit evolutionary model was the GTR model + gamma + invariable sites. An uncorrelated relaxed molecular clock assuming a lognormal distribution of rates and a Yule speciation model were applied. Four runs of 20 × 106 generations were performed, sampling one tree every 1000th generation. Parameter convergence was confirmed by examining their posterior distributions in TRACER 1·4 (Drummond and Rambaut, 2007). In addition, we have considered the Monte Carlo Markov Chain (MCMC) sampling sufficient when the effective sampling size (ESS) was >200, as assessed using TRACER v1·4 (Rambaut and Drummond, 2007). A maximum clade credibility tree with median branch lengths and a 95 % highest posterior density (HPD) interval on nodes was built using TreeAnnotator 1·5·4 (Drummond and Rambaut, 2007) based on the set of trees after burn-in (for each run, a burn-in period of 2 million generations was applied).

A second phylogenetic algorithm was applied to confirm the results obtained by the Bayesian MCMC inference. Phylogenetic relationships were inferred using maximum likelihood (ML) as implemented in GARLI (version 1·0; Zwickl, 2006). The analysis was conducted on the CIPRES portal (http://www.phylo.org/) using the default options.

Calibration

Calibration of molecular phylogenetic trees is generally better performed using the fossil record (Forest, 2009), but monocots rarely fossilize well and there are currently no unequivocal fossils assignable to Tecophilaeaceae. Thus, two secondary calibration points were used following the same approach as in a recent study conducted by the authors on Asparagaceae subfamily Scilloideae (or Hyacinthaceae; see Buerki et al., 2012; Fig. 1). In the first, the most recent common ancestor of Tecophilaeaceae and the outgroup taxa was constrained using a normal distribution with a mean of 110 Ma and a standard deviation of 5. For the second, the crown node of Tecophilaeaceae was constrained with a normal distribution, a mean of 80 Ma and a standard deviation of 5 (Fig. 1). These values were obtained from a previous molecular estimate of a monocot-wide analysis (Anderson and Janssen, 2009) and were used to calibrate the BEAST analysis.

Fig. 1.

Fig. 1.

(A) BEAST maximum clade credibility tree for Tecophilaeaceae; 95 % highest posterior density intervals on time divergence estimates and posterior probabilities assigned to each node are indicated. The position of the two calibration points used for the BEAST inference are indicated on the nodes (a and b; see text for more details). (B) Maximum likelihood phylogenetic tree inferred using GARLI. (C) Multiple lineage-through-time plot of the 1000 randomly selected trees from the BEAST analysis (after burn-in) used for the LAGRANGE analyses (in grey) and the maximum clade credibility tree (in black). The green interval represents the timing of the first Andean uplift, and the pink interval corresponds to the timing of the second Andean uplift and the establishment of the Mediterranean climates and Atacama desert. Abbreviations: Med, Mediterranean; My, million years; A, Chile, D, Greater Cape region (see Fig. 2).

Biogeographical inferences

Four geographical areas were defined based on palaeogeographical evidence and the current distribution of taxa (Fig. 2): (A) Chile (South America); (B) California (North America); (C) tropical and sub-tropical Africa; and (D) the Greater Cape region (winter-rainfall parts of South Africa and southern Namibia; Born et al., 2007). Because this study included approx. 80 % of the species richness of the family, the distribution of terminals was scored at the species level (see Appendix 2 for more details on the distribution of the missing taxa).

Fig. 2.

Fig. 2.

Stratified palaeogeographical model used to constrain the LAGRANGE biogeographical analyses of Tecophilaeaceae (adapted from Buerki et al., 2011). A dispersal probability of 1·0 was applied for solid lines, whereas a probability of 0·5 was set for dashed lines. For all the other dispersal routes, a probability of 0·01 was applied (see text for more details). Biogeographical areas: (A) Chile (South America); (B) California (North America); (C) tropical and sub-tropical Africa; (D) the Greater Cape region (winter-rainfall parts of South Africa and southern Namibia). Abbreviation: My, million years.

The dispersal–extinction–cladogenesis (DEC) likelihood model implemented in LAGRANGE v.2·0·1 (Ree et al., 2005; Ree and Smith, 2008) was used to investigate the biogeographical history of Tecophilaeaceae (outgroup taxa were not included in the biogeographical analyses). Because most taxa are confined to a single area, the LAGRANGE analyses were run with a maximum area set to two. However, we had to include additional widespread areas to be able to calculate the likelihood of the tree and estimate extinction (see Ree et al., 2005). One of the advantages of the DEC model is its ability to adapt a transition matrix (i.e. Q-matrix) to reflect the changing palaeogeography, connections between areas (e.g. land bridges) through time or dispersal capabilities of the group of interest (Buerki et al., 2011). To reflect this ability, the stratified palaeogeographical model of Buerki et al. (2011) was adapted to reflect geological connections between areas through time (see Fig. 2). The palaeogeographical model spanned the last 80 million years (My) and was divided into three time slices: (1) before 60 My; (2) 60 My to 30 My; and (3) 30 My to the present (see Fig. 2 and Buerki et al., 2011). In this model, direct connections between areas were assigned a probability of 1; connections mediated by abiotic factors (e.g. sub-equatorial currents) had a probability of 0·5 and all the other dispersal probabilities were assigned a probability of 0·01 (Fig. 2 and see Buerki et al., 2011, for more details). Finally, to take phylogenetic and dating uncertainty into account while inferring the biogeographical scenario, we applied the same approach as used by Espindola et al. (2012) and ran the constrained LAGRANGE analyses over a set of 1000 randomly selected BEAST trees, after burn-in. The biogeographical scenario, which encompasses the output of the 1000 LAGRANGE analyses, was subsequently summarized on the maximum credibility clade tree of BEAST using pie charts as implemented in Bayes-DIVA (Nylander et al., 2008) and subsequently accommodated for LAGRANGE outputs in Espindola et al. (2012) using R scripts (R Development Core Team, 2010). All the ancestral areas with probabilities <0·1 were pulled together and depicted in black in the pie charts (referred to as ‘Trash’). Finally, the ancestral area with the highest probability per node was extracted using an R script (R Development Core Team, 2010) and a contingency table depicting dispersals and extinctions per time slice constructed based on the specificities of the DEC model (see Buerki et al., 2011, for more details). This table was used to represent the biogeographical scenario on palaeogeographical maps.

Diversification analyses

To support the biogeographical inference and investigate further the evolution of Tecophilaeaceae, we performed two sets of diversification analyses. First, the temporal accumulation of lineages in the family was assessed based on LTT curves as implemented in the R package ape (Paradis et al., 2004). LTT curves were inferred for the 1000 randomly selected BEAST trees and for the maximum clade credibility tree. To investigate further temporal accumulation of lineages through time in light of taxa divergence, the maximum clade credibility tree and LTT curves were plotted at the same scale using an adapted version of the ltt.coplot function of the R package ape (Paradis et al., 2004).

The effect of ecology on the diversification of the family was investigated by applying the GeoSSE model (Goldberg et al., 2011) to our data set following Buerki et al. (2012). The occurrence of each taxon in the following ecosystems has been recorded based on taxonomic revisions (Carter, 1962; Brummitt et al., 1998; Simpson and Rudall, 1998; Manning and Goldblatt, 2012): (1) Mediterranean; (2) arid (non-Mediterranean); and (3) sub-tropical to tropical. These analyses are crucial to unravel diversification patterns in the family and are complementary to the biogeographical inferences because most of the ecosystems are shared between areas. For instance, Mediterranean ecosystems are found in Chile (area A), California (B) and the Greater Cape (in the Cape region in D). The GeoSSE method simultaneously features the characteristics of the constant-rates birth–death model with a three-state Markov model similar to the DEC model (Goldberg et al., 2011). This likelihood-based approach estimates ecosystem-dependent rates of speciation, extinction and range evolution based on a fully resolved maximum clade credibility tree of BEAST. Seven parameters can be estimated by the model [speciation within regions A (sA) and B (sB), between-region speciation (sAB), extinction from regions A (xA) and B (xB), dispersal from A to B (dA) and dispersal from B to A (dB)] (see fig. 1 in Goldberg et al., 2011). For each ecosystem, an ML parameter estimation and model comparison was conducted followed by Bayesian parameter estimation through MCMC as implemented in the R package diversitree (FitzJohn, 2010). To reduce the complexity of the analysis, two GeoSSE models, the full model and the model without between-region speciation (sAB) as suggested by Goldberg et al. (2011), were estimated under an ML framework and compared using a likelihood ratio test as implemented in diversitree (FitzJohn, 2010). Subsequently an MCMC approach was used to perform a Bayesian analysis based on the best GeoSSE model (incomplete taxon sampling was also considered, but had limited effect since only five species were not sampled; see Appendix 2). Maximum likelihood rate estimates were used as priors to seed the MCMC analysis. The MCMC was run for 5000 generations with a burn-in period of 1000 generations. Finally, posterior probability distributions for the GeoSSE parameters were summarized using functions implemented in diversitree (Fitzjohn, 2010). We could not perform the GeoSSE analyses based on the biogeographical areas because all taxa (with the exception of Walleria nutans) are restricted to a single area (see Goldberg et al., 2011 for more details).

RESULTS

Divergence time estimates

The various statistics related to the six plastid DNA regions are summarized in Table 1. With the exception of rbcL (7·6 % variable characters), all the DNA regions yielded a similar percentage of variable characters (12 % for rpl16 to 17·4 % for matK) and the combined matrix had 12·1 % variable characters (Table 1).

Table 1.

Statistics summarizing the plastid DNA regions used to infer phylogenetic relationships in Tecophilaeaceae

atpB–rbcL matK rbcL rpl16 trnL trnL–trnF Supermatrix
No. of sequences (ingroup/outgroup) 22/0 20/3 22/3 16/0 22/3 22/3 22/3
Alignment length (bp) 736 882 1298 1081 473 406 4876
No. of variable characters: ingroup/all (%) 90/NA 153/213 98/146 130/NA 63/96 57/91 591/766
(12·2/NA) (17·4/24·1) (7·6/11·2) (12·0/NA) (13·3/20·3) (14·0/22·4) (12·1/15·7)
No. of potentially pasimony-informative characters: ingroup/all (%) 37/NA 85/104 43/66 52/NA 26/38 24/32 267/329
(5·0/NA) (9·6/11·8) (3·3/5·0) (4·8/NA) (5·5/8·0) (5·9/7·9) (5·5/6·7)

The ML and BEAST phylogenetic trees had identical topologies and are displayed in Fig. 1. Despite the relatively low level of variability observed in the plastid DNA regions used here (Table 1), phylogenetic relationships in Tecophilaeaceae are well resolved, with only one node with a Bayesian posterior probability (BPP) below 0·5 (i.e. the split between Zephyra elegans and Z. cyanocrocus; Fig. 1). The monophyly of the family is strongly supported, with a BPP of 1·0, and two highly supported clades are retrieved: clade I (BPP: 1·0) which comprises the genera Conanthera and Zephyra; and clade II (BPP: 0·98) containing genera Odontostomum, Cyanastrum, Kabuyea, Walleria, Eremiolirion and Cyanella (Fig. 1). In clade II, sub-clade IIa corresponds to the southern African Eremiolirion and Cyanella (Fig. 1). All genera are confirmed as monophyletic in all analyses (Fig. 1).

Although the stem age leading to the two genera in clade I is estimated to be Palaeocene and Eocene with a large 95 % HPD interval, their crown ages are strikingly different; Zephyra originated sometime during the Oligocene, whereas the diversification of Conanthera was delayed until the Pliocene (Fig. 1). In clade II, the split of the earliest lineage (Ondontostomum hartwegii) from the rest of the clade is estimated to be in the Late Cretaceous. Most of the species in clade II seemed to have diversified gradually through time (see LTT curves, Fig. 1), with the origin of the genera taking place between the Eocene and Oligocene (Fig. 1).

Biogeographical inference

The biogeographical scenario inferred from the 1000 randomly selected BEAST trees and constrained according to palaeogeographical evidence (Fig. 2) is displayed on the maximum credibility clade tree using pie charts (Fig. 3). In addition, dispersal and extinction events per time slice were plotted on palaeogeographical maps (Fig. 4). The biogeographical scenario reported here is based on the highest ancestral area probability per node (as done in Buerki et al., 2011). The most recent common ancestor (MRCA) of Tecophilaeaceae is assessed as widespread between South America and tropical Africa, although this result has to be considered with caution because analyses were performed without outgroup taxa for technical reasons (Figs 3 and 4A). The DEC model estimates that a peripheral-isolate speciation took place from the root (AC) of the family to the nodes, leading to clades I and II (Fig. 3). In this context, the MRCA of clade II inherited the whole ancestral area (AC), whereas the MRCA of clade I became extinct in area C and persisted only in A (Figs 3 and 4). All taxa belonging to clade I are currently restricted to area A (Chile and South America) and the biogeographical inferences supported the sympatric speciation of this clade in this area (Figs 3 and 4). Speciation in the two genera of clade I proceeded at very different tempos, with Zephyra spp. originating during time slice 2 (at the Eocene/Oligocene boundary) and Conanthera spp. originating later during time slice 3 (i.e. Pliocene; Figs 3 and 4). All taxa in clade II, with the exception of the monotypic genus Odontostomum endemic to California (B), are distributed between tropical Africa (C) and the Greater Cape region (D). To explain the current distribution of Odontostomum in B, the model invoked three biogeographical events (starting from AC): (1) an extinction in C followed by (2) dispersal from A to B and (3) a final extinction in A (Figs 2 and 3A). The first event corresponds to a vicariance speciation event between Odontostomum and the rest of clade II (Fig. 3). In the remainder of clade II, this vicariance event was followed by a dispersal event from C to D (during time slice 1; Figs 3 and 4A). A final vicariance event was inferred by the DEC model leading to the extinction of the MRCA of the pair CyanastrumKabuyea in D and the extinction of the MRCA of the Walleria/Eremiolirion/Cyanella clade in C (Figs 3 and 4). A final dispersal event was inferred from D to C (during time slice 2) for the MRCA of Walleria (Figs 3 and 4B). Clade IIa is restricted to D and underwent sympatric speciation within this area mainly during the second time slice, with additional taxa emerging during the last time slice (Fig. 3).

Fig. 3.

Fig. 3.

Biogeographical scenario for Tecophilaeaceae inferred from the 1000 randomly selected trees from the BEAST analysis and constrained using the palaeogeographical model (Fig. 2). The biogeographical ancestral reconstructions are displayed on the maximum clade credibility tree using pie charts. The abbreviations of biogeographical areas are provided in Fig. 2. The green interval represents the timing of the first Andean uplift, whereas the pink interval corresponds to the timing of the second Andean uplift and the establishment of the Mediterranean climates and Atacama desert. Abbreviations: for the ecology, Med = Mediterranean, Arid = deserts and arid climates, SubTrop = sub-tropical; extinction (E) dispersal (D) events; My, million years.

Fig. 4.

Fig. 4.

Dispersal and extinction events occurring during the evolution of Tecophilaeaceae represented on palaeogeographical maps (adapted from Buerki et al., 2011). See Figs 1 and 2 for abbreviations.

Diversification analyses

The LTT curves show a relatively constant speciation rate from the origin of the group until the Miocene, followed by a plateau persisting until the Pliocene (Fig. 1B). Finally, LTT curves indicate an acceleration of speciation from the Pliocene onwards, mostly due to the diversification in Conanthera (clade I) and, to a lesser extent, to the appearance of new species in Cyanella (clade IIa; Fig. 1).

The ecology of each taxon is provided in Fig. 3 (and Appendix 2) and categorized as arid, Mediterranean and/or sub-tropical. Several taxa were restricted to the Mediterranean ecosystem (e.g. Cyanella alba subsp. flavescens), but usually they were shared between the former and arid ecosystems. The colonization of sub-tropical to tropical ecosystems is confined to clade II in two lineages (forming a grade at the base of the clade): the Cyanastrum and Kabuyea clade and the Walleria clade (Fig. 3). The occurrence or migrations into the Mediterranean ecosystem followed two contrasting patterns between clades A and B (Fig. 3). In clade I (especially in Conanthera), taxa seemed to have originated in the Mediterranean ecosystem and subsequently migrated into arid regions, whereas the opposite pattern is found in clade IIa (Fig. 3).

With the exception of the Mediterranean ecosystem (see below), the model without sAB in GeoSSE always fit the data better, suggesting that there are ecosystem differences in diversification. Results of the GeoSSE analyses are shown in Fig. 5. In all analyses, it appeared that the speciation and extinction rates are always higher outside the investigated ecosystem, although less noticeable for speciation rates in the sub-tropical and Mediterranean ecosystems. The most interesting pattern was found for the Mediterranean ecosystem, where sAB had to be invoked, implying co-diversification between ecosystems (Fig. 5C). The posterior distribution of sAB covered the whole range of distribution of sA and sB, indicating that between-region speciation is important in the diversification of species in this ecosystem.

Fig. 5.

Fig. 5.

Posterior probability distributions for the speciation and extinction parameters obtained with GeoSSE. Speciation and extinction shown in a given ecology/ecosystem (sA and xA, respectively) and the remainder of the distributional range of Tecophilaeaceae (sB and xB, respectively) for each area estimated by the GeoSSE analyses for the Tecophilaeaceae data set (see text for more details; speciation in the joint areas AB is identified in blue). My, million years.

DISCUSSION

Taxonomic implications and character evolution

The phylogenetic relationships uncovered here provide support for the monophyly of all genera of Tecophilaeaceae as recognized by Ravenna (1988) (i.e. the inclusion of Tecophilaea in Zephyra), Brummitt et al. (1998) and Manning and Goldblatt (2012). We confirm the sister relationship between the tropical African Cyanastrum and Kabuyea (Fig. 1) inferred from numerous morphological and anatomical synapomorphies identified by Brummitt et al. (1998). The evidently close relationship between these two genera led Brummitt et al. (1998) to unite them as sole members of subfamily Cyanastroideae Engl., although preliminary evidence from their phylogenetic trees based on rbcL of a small sample of taxa located the two genera among others in the family, suggesting that this classification was not phylogenetically sound. The cladistic topology of Brummitt et al. (1998) is strongly supported by our analysis, which nests Cyanastroideae deeply within Tecophilaeoideae. To retain Cyanastroideae would require the recognition of at least two additional subfamilies to render Tecophilaeoideae monophyletic. This is unwarranted due to the modest size of the family. Even the recognition of tribes is excessive, and we conclude that subfamily Cynastroideae should no longer be recognized.

Simpson and Rudall (1998) interpreted the presence of staminodes as a probable synapomorphy uniting the Chilean genera Tecophilaea and Zephyra, and retained the two genera as separate despite an earlier decision by Ravenna (1988) to treat them as congeneric. Our analysis nests Zephyra within Tecophilaea, providing no support for treating them as distinct genera. The two genera were distinguished on the degree of development of the inflorescence and by the number and position of the staminodes: Tecophilaea with one or two flowers per inflorescence and the posterior three stamens sterile; and Zephyra with a racemose or paniculate inflorescence and the postero-lateral two stamens sterile. Modifications in androecial symmetry and form are a recurrent theme in the family. In Cyanella, species have either a 3 + 3 or a 5 + 1 arrangement of stamens and, although most species have racemose or paniculate inflorescences, C. alba produces just 1–9 flowers per stem. The variation in the inflorescence and androecium in Tecophilaea + Zephyra is thus no more extreme than in Cyanella. Molecular and morphological evidence is thus consistent with Ravenna's (1988) decision to include Tecophilaea in Zephyra.

Most genera of Tecophilaeaceae develop tunicated corms, but those of Walleria and Kabuyea + Cyanastrum are non-tunicated. The membranous tunics characteristic of the New World genera are evidently plesiomorphic, and the evolution of fibrous tunics in Eremiolirion and Cyanella represents a synapomorphy for these two genera, evidently a reversal from the non-tunicated condition in other African genera. The cauline foliage and solitary, axillary flowers of Walleria are both autapomorphies for the genus. The basic chromosome number in the family is probably x = 12, but Odontostomum has x = 10 (see Simpson and Rudall, 1998), thus an autapomorphy for the genus. The evolution of an asymmetric or zygomorphic androecium in Odontostomum (5 posterior + 1 anterior) and in Cyanella (5 + 1 and 3 +3) is most parsimoniously interpreted as homoplasious, and the evolution of a yellow or orange perianth in some Cyanella spp. is similarly interpreted as derived from the ancestral blue or white state characteristic of the other genera.

The spatio-temporal evolution of Tecophilaeaceae

This small family poses a challenge for biogeographical analyses. Tecophilaeaceae originated sometime during the Late Cretaceous and now present a disjunct distribution between Chile (A), California (B) and mainland Africa (areas C and D), having colonized three of the five regions of the world with a Mediterranean-type climate (the family is not found in the Mediterranean Basin or south-west Australia). Disjunct continental distributions are well known among angiosperm families [see, for example, Milne (2006) for a review] but the distribution of Tecophilaeaceae is peculiar and unmatched in other flowering plants. Three other characteristics hinder the inference of its biogeographical history, especially the cradle of the family: (1) low species richness (only 27 species); (2) many species with a narrow distribution; and (3) a relatively long evolutionary history and many old taxa. Most taxa in Tecophilaeaceae originated sometime during the Eocene/Oligocene, with the notable exception of Conanthera, which originated in the Pliocene. Most species are also restricted to a single ecogeographic region (Fig. 3). Species richness in the family is unevenly distributed, with the highest diversity in Chile (eight species) and the Greater Cape region (ten species), but only three species in tropical Africa and one in California (Fig. 3).

We infer the cradle of the family to be in tropical Africa and South America sometime during the Late Cretaceous before the break up of Gondwana (Figs 13; see the Results section for more details). Further analyses with an expanded outgroup selection is required to clarify the area optimization on this node. The LAGRANGE analyses strongly suggested vicariance resulting from the break up of Gondwana as an important factor in shaping the current distribution of taxa at deeper nodes, resulting in the establishment of the two main clades in Tecophilaeaceae (Figs 3 and 4). In clade II, a second Late Cretaceous vicariance event split the Californian Odontostomum hartwegii from the rest of the clade, currently restricted to mainland Africa (Figs 3 and 4). This biogeographical event was followed by the dispersal of the MRCA of Odontostomum from South America to North America (Fig. 3). North and South America were connected during the Cretaceous by the proto-Greater Antilles land bridge (Briggs, 1994), but this connection was disrupted in the Palaeocene/Eocene with the emergence of the Caribbean Plate, to reappear later during the Neogene, first through the Greater Antilles and the Aves Ridge and later through the uplift of the Panama Isthmus (3·5 Ma; Iturralde-Vinent, 2006). Although the MRCA of Odontostomum most probably utilized this dispersal route from South to North America, it is impossible to date the event more precisely at present because of the long branch leading to this taxon (Figs 1 and 3).

Species diversity in tropical Africa is markedly lower that of the Greater Cape region and South America (Fig. 3). Cyanastrum and Kabuyea appear to represent relictual lineages restricted to sub-tropical ecosystems in tropical Africa. The most likely biogeographical scenario infers a dispersal of the MRCA of Walleria and of EremiliorionCyanella into the Greater Cape region from tropical Africa, followed by the diversification of Cyanella in southern Africa since the mid Eocene (Figs 3 and 4).

Our analyses highlight the importance of sympatric speciation in Chile (clade I) and the Greater Cape region (clade IIa), both characterized by Mediterranean-type climates (Fig. 3). The onset or intensification of a Mediterranean climate in southern Africa has been identified as a driver of diversification in several groups, including Aizoaceae (Klak et al., 2004), Asparagaceae subfamily Scilloideae (Buerki et al., 2012) and Gladiolus (Iridaceae; Valente et al., 2012). Initial assumptions that the radiations in the Greater Cape flora were primarily initiated by climatic changes in the Late Miocene or Pliocene have been confounded by increasing evidence from phylogenetic dating that the radiation of typical Cape clades was spread over much of the Neogene, with an acceleration from the Late Miocene (Linder, 2008). Our diversification analyses do not support any shift in diversification associated with the Mediterranean ecosystem and suggest that co-speciation (sAB) processes between arid and Mediterranean ecosystems have been important in shaping the current species diversity in this group (Fig. 5).

Andean uplift and past climate change in South America

The uplift of the Andes is known to have greatly influenced the Amazonian biota (see Antonelli et al., 2009; Hoorn et al., 2010), but few studies (e.g. Heibl and Renner, 2012) have focused on the effects of this major geological event and associated collateral events, including the establishment of the Mediterranean climate in Chile and the Atacama desert, on the biogeography and diversification of western South American plant lineages. Our analyses show that the South American species of Tecophilaeaceae form a monophyletic group (clade I) that originated during the Eocene before the first Andean uplift, as a consequence of the break up of the Gondwana (see above; Figs 1 and 3). The two genera recognized in clade I express strikingly different patterns of diversification. The origin of Zephyra coincides with the first Andean uplift (Oligocene), whereas Conanthera originated at the Miocene/Pliocene boundary after the second Andean uplift, which resulted in the establishment of the Mediterranean climate in this area (Figs 1 and 3). Although these two sister genera have different tempos of evolution, both are currently restricted to Mediterranean and arid ecosystems in Chile (Simpson and Rudall, 1998).

The Chilean Mediterranean-type ecosystem, established between 15 and 8 Ma (Armesto et al., 2007), is highly heterogeneous, ranging from the Atacama desert, the driest desert in the world, in the north to mixed deciduous–evergreen temperate forests in the south. Although the first Andean uplift was not of the same magnitude as the second (during which the Andes rose to elevations ranging from 3000 to >6 000 m; Armesto et al., 2007; Hoorn et al., 2010; see Hughes et al., 2013, and references therein), this geological event initiated the progressive aridity along the western margin of South America, also triggered by equatorial currents from the cold Antarctic waters in the South Pacific (Armesto et al., 2007). We hypothesize that the MRCA of Zephyra was adapted to arid regions and subsequently dispersed to the Mediterranean-type ecosystem. In contrast, the origin of Conanthera coincides with the establishment of a Mediterranean climate in Chile and suggests subsequent dispersals into the arid parts of Chile during the Pliocene onwards. The long branch leading to the MRCA of Conanthera might be the signature of either a significant extinction event that occurred sometime between the Eocene and the end of the Miocene or a very low speciation rate in this lineage until only recently (see Crisp and Cook, 2009). A conceivable cause of the extinction event is the drastic ecological changes resulting from the first Andean uplift (see above). In any event, the Conanthera lineage diversified rapidly in the Pliocene during the establishment of a Mediterranean climate in the region.

Sympatric diversification in the Greater Cape region

The phylogenetic framework and ecological data support an origin of species in clade IIa in arid ecosystems during the Eocene, with subsequent diversification in south-western Africa well before the onset of aridification in the Mid Miocene. Although most southern African Cyanella spp. are endemic to the Mediterranean climate of the Greater Cape region, radiation in the genus does not appear to be closely linked to the establishment of the Mediterranean climate in the Mid Miocene. More recent minor diversification events from the Late Miocene and Pliocene, e.g. the species pair C. cygnea/C. orchidiformis and the subspecies of C. alba, are coincident with the establishment of a Mediterranean climate, but Tecophilaeaceae clearly belong to the more arid element of the Greater Cape flora and have only marginally colonized the core Cape region.

ACKNOWLEDGEMENTS

The authors thank Sarah Jose and Olivia Rigby for laboratory assistance. We also thank Kate L. Hertweck and two anonymous reviewers for constructive comments on an earlier version of the manuscript. This project was funded by a Marie Curie Intra-European Fellowship (CRADLE; no. 253866) to S.B. and F.F., and the Royal Botanic Gardens, Kew.

APPENDIX 1

List of species included in the phylogenetic analysis of Tecophilaeaceae, including voucher information and GenBank accession numbers.

Taxon Voucher atpB–rbcL matK rbcL rpl16 trnL intron trnL–trnF
Conanthera bifolia Ruiz & Pav. Living Collection, University of California, Irvine 42; no voucher KC161439 KC161460 KC161479 KC161500 KC161516 KC161534
Conanthera campanulata Lindl. Chase 523 (K) KC161440 KC161461 KC161480 KC161501 KC161517 KC161535
Conanthera sabulosa Ravenna Chase 13820 (K) KC161441 KC161462 KC161481 KC161502 KC161518 KC161536
Conanthera trimaculata (D.Don) F. Meigen Chase 1788 (K) KC161442 KC161463 KC161482 KC161503 KC161519 KC161537
Conanthera variegata Fenzl. ex Reichardt Chase 2970 (K) KC161443 KC161483 KC161504 KC161520 KC161538
Cyanastrum cordifolium Oliv. Chase 18736 (K) AY147743 KC161464 Z73696– U41572 KC161521 KC161539
Cyanella alba L.f. subsp. alba Manning s.n. (NBG) KC161444 KC161465 KC161484 KC161505 KC161522 KC161540
Cyanella alba L.f. subsp. flavescens J.C. Manning Goldblatt & Manning 10741 (NBG) KC161445 KC161466 KC161485 KC161523 KC161541
Cyanella aquatica Oberm ex G. Scott Goldblatt & Manning 10581A (NBG) KC161446 KC161467 KC161486 KC161506 KC161524 KC161542
Cyanella cygnea G. Scott Goldblatt & Manning 9940 (NBG) KC161447 KC161468 KC161487 KC161507 KC161525 KC161543
Cyanella hyacinthoides Royen ex L. Goldblatt & Manning 8583 (NBG) KC161448 KC161469 KC161488 KC161508 KC161526 KC161544
Cyanella lutea L.f. subsp. lutea Manning 2195 (NBG) KC161449 KC161470 KC161489 KC161527 KC161545
Cyanella orchidiformis Jacq. Goldblatt & Manning 9121 (NBG) KC161450 KC161471 KC161490 KC161509 KC161528 KC161546
Eremiolirion amboense (Schinz) J.C. Manning & C.A. Mannheimer Mannheimer 2510 (NBG) KC161451 KC161491 KC161510 KC161529 KC161547
Kabuyea hostifolia (Engl.) R.K. Brummitt Chase 1378 (K) KC161452 KC161472 KC161492 KC161511 AJ290278 AJ290312
Odontostomum hartwegii Torr. Chase 491 (K) KC161453 KC161473 KC161493 KC161512 KC161530 KC161548
Walleria gracilis (Salisb.) S. Carter Manning 2180 (NBG) KC161454 KC161474 KC161494 KC161513 KC161531 KC161549
Walleria mackenzii J. Kirk No voucher KC161455 KC161475 KC161495 KC161514 AJ290279 AJ290313
Walleria nutans J. Kirk Goldblatt & Manning 8802 (NBG) KC161456 KC161476 KC161496 KC161532 KC161550
Zephyra cyanocrocus (Leyb.) Ravenna Chase 447 (K) KC161457 KC161477 KC161497 AJ290276 AJ290310
Zephyra elegans D. Don Chase 1575 (K) KC161458 AJ579994 KC161498 AJ290277 AJ290311
Zephyra violiflora (Bertero ex Colla) Ravenna Chase 1498 (K) KC161459 KC161478 KC161499 KC161515 KC161533 KC161551
Doryanthaceae – Doryanthes excelsea Correa AJ580616 Z73697 AJ290281 AJ290315
Iridaceae – Isophysis tasmanica (Hook.) T. Moore AJ579963 Z77287 AJ290283 AJ290317
Ixioliriaceae – Ixiolirion tataricum (Pall.) Herb. AJ579965 Z73704 AJ290280 AJ290314

List of species of Tecophilaeaceae, including information on the scoring for the biogeographical (LAGRANGE) and diversification (GeoSSE) inferences. Conanthera sabulosa and C. variegata (indicated with *) are considered as synonyms of C. campanulata by some authors; our analyses showed that some further investigations are needed.

Biogeographical areas (LAGRANGE)
Ecology (GeoSSE)
Taxon Sampled? (A) Chile (B) California (C) Tropical Africa (D) Greater Cape region Arid Mediterranean Sub-tropical
Conanthera bifolia Ruiz. & Pav. Yes 1 0 0 0 0 1 0
Conanthera campanulata Lindl. Yes 1 0 0 0 1 1 0
Conanthera sabulosa Ravenna* Yes 1 0 0 0 1 1 0
Conanthera parvula (Phil.) Muñoz-Schick No 1 0 0 0 0 1 0
Conanthera trimaculata (D.Don) F. Meigen Yes 1 0 0 0 0 1 0
Conanthera urceolata Ravenna No 1 0 0 0 1 0 0
Conanthera variegata Fenzl. ex Reichardt* Yes 1 0 0 0 1 1 0
Cyanastrum cordifolium Oliv. Yes 0 0 1 0 0 0 1
Cyanastrum goetzeanum Engl. No 0 0 1 0 0 0 1
Cyanastrum johnstonii Baker No 0 0 1 0 0 0 1
Cyanella alba L.f. subsp. alba Yes 0 0 0 1 0 1 0
Cyanella alba L.f. subsp. flavescens J.C. Manning Yes 0 0 0 1 0 1 0
Cyanella alba L.f. subsp. minor J.C. Manning No 0 0 0 1 0 1 0
Cyanella aquatica Oberm ex G. Scott Yes 0 0 0 1 0 1 0
Cyanella cygnea G. Scott Yes 0 0 0 1 0 1 0
Cyanella hyacinthoides Royen ex L. Yes 0 0 0 1 1 1 0
Cyanella lutea L.f. Yes 0 0 0 1 1 1 0
Cyanella marlothii J.C.Manning & Goldblatt No 0 0 0 1 0 1 0
Cyanella orchidiformis Jacq. Yes 0 0 0 1 0 1 0
Cyanella pentheri Zahlbr No 0 0 0 1 0 1 0
Cyanella ramosissima (Engl. & Krause) Engl. & K. Krause No 0 0 0 1 0 1 0
Eremiolirion amboense (Schinz) J.C.Manning & C.A. Mannheimer Yes 0 0 0 1 1 0 0
Kabuyea hostifolia (Engl.) R.K.Brummitt Yes 0 0 1 0 0 0 1
Odontostomum hartwegii Torr. Yes 0 1 0 0 0 1 0
Walleria gracilis (Salisb.) S. Carter Yes 0 0 0 1 1 1 0
Walleria mackenzii J. Kirk Yes 0 0 1 0 0 0 1
Walleria nutans J. Kirk Yes 0 0 1 1 1 0 1
Zephyra compacta C. Ehrh. No 1 0 0 0 1 1 0
Zephyra cyanocrocus (Leyb.) Ravenna Yes 1 0 0 0 0 1 0
Zephyra elegans D. Don Yes 1 0 0 0 1 1 0
Zephyra violiflora (Bertero ex Colla) Ravenna Yes 1 0 0 0 0 1 0

LITERATURE CITED

  1. Anderson CL, Janssen T. Monocots. In: Hedges SB, Kumar S, editors. The timetree of life. Oxford: Oxford University Press; 2009. pp. 203–212. [Google Scholar]
  2. Antonelli A, Nylander JAA, Persson C, Sanmartín I. Tracing the impact of the Andean uplift on Neotropical plant evolution: evidence from the coffee family. Proceedings of the National Academy of Sciences, USA. 2009;106:9749–9754. doi: 10.1073/pnas.0811421106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Armesto JJ, Arroyo MTK, Hinojosa LF, Veblen TT, Young KR, Orme AR. The Mediterranean environment of central Chile. In: Veblen TT, Orme AR, Young KG, editors. The physical geography of South America. Oxford: Oxford University Press; 2007. pp. 184–199. [Google Scholar]
  4. Born J, Linder HP, Desmet P. The Greater Cape floristic region. Journal of Biogeography. 2007;34:147–162. [Google Scholar]
  5. Briggs JC. The genesis of Central America: biology versus geophysics. Global Ecology and Biogeography. 1994;4:169–172. [Google Scholar]
  6. Brummitt RK, Banks H, Johnson MAT, et al. Taxonomy of Cyanastroideae (Tecophilaeaceae): a multidisciplinary approach. Kew Bulletin. 1998;53:769–803. [Google Scholar]
  7. Buerki S, Forest F, Alvarez N, et al. An evaluation of new parsimony-based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae. Journal of Biogeography. 2011;38:531–550. [Google Scholar]
  8. Buerki S, Jose S, Yadav SR, Goldblatt P, Manning JC, Forest F. Contrasting biogeographic and diversification patterns in two Mediterranean-type ecosystems. PLoS One. 2012;7:e39377. doi: 10.1371/journal.pone.0039377. http://dx.doi.org/10.1371/journal.pone.0039377 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Carter S. Revision of Walleria and Cyanastrum (Tecophilaeaceae) Kew Bulletin. 1962;16:185–195. [Google Scholar]
  10. Chase MW, Reveal JL, Fay MF. A subfamilial classification for the expanded asparagalean families Amaryllidaceae, Asparagaceae and Xanthorrhoeaceae. Botanical Journal of the Linnean Society. 2009;161:132–136. [Google Scholar]
  11. Crisp MD, Cook LG. Explosive radiation of cryptic mass extinction? Interpreting signatures in molecular phylogenies. Evolution. 2009;63:2257–2265. doi: 10.1111/j.1558-5646.2009.00728.x. [DOI] [PubMed] [Google Scholar]
  12. Doyle JJ, Doyle JL. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, Botanical Society of America. 1987;19:11–15. [Google Scholar]
  13. Drummond AJ, Rambaut A. BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology. 2007;7:214. doi: 10.1186/1471-2148-7-214. http://dx.doi.org/10.1186/1471-2148-7-214 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Espindola A, Buerki S, Alvarez N. Ecological and historical drivers of diversification in the fly genus Chiastocheta Pokorny. Molecular Phylogenetics and Evolution. 2012;63:466–474. doi: 10.1016/j.ympev.2012.01.018. [DOI] [PubMed] [Google Scholar]
  15. Fay MF, Bayer C, Alverson WS, de Bruijn AY, Chase MW. Plastid rbcL sequence data indicate a close affinity between Diegodendron and Bixa. Taxon. 1998;47:43–50. [Google Scholar]
  16. Fay MF, Rudall PJ, Sullivan S, et al. Phylogenetic studies of Asparagales based on four plastid DNA regions. In: Wilson KL, Morrison DA, editors. Monocots: systematics and evolution. Collingwood, Australia: CSIRO; 2000. pp. 360–371. International Conference on the Comparative Biology of the Monocotyledons. [Google Scholar]
  17. FitzJohn RG. Quantitative traits and diversification. Systematic Biology. 2010;59:619–633. doi: 10.1093/sysbio/syq053. [DOI] [PubMed] [Google Scholar]
  18. Forest F. Calibrating the Tree of Life: fossils, molecules and evolutionary timescales. Annals of Botany. 2009;104:789–794. doi: 10.1093/aob/mcp192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Goldberg EE, Lancaster LT, Ree RH. Phylogenetic inference of reciprocal effects between geographic range evolution and diversification. Systematic Biology. 2011;60:451–465. doi: 10.1093/sysbio/syr046. [DOI] [PubMed] [Google Scholar]
  20. Heibl C, Renner SS. Distribution models and a dated phylogeny for Chilean Oxalis species reveal occupation of new habitats by different lineages, not rapid adaptive radiation. Systematic Biology. 2012;61:823–834. doi: 10.1093/sysbio/sys034. [DOI] [PubMed] [Google Scholar]
  21. Hoorn C, Wesselingh P, ter Steege H, et al. Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity. Science. 2010;330:927–931. doi: 10.1126/science.1194585. [DOI] [PubMed] [Google Scholar]
  22. Hughes CE, Pennington RT, Antonelli A. Neotropical plant evolution: assembling the big picture. Botanical Journal of the Linnean Society. 2013;171:1–18. [Google Scholar]
  23. Iturralde-Vinent MA. Meso-Cenozoic Caribbean paleogeography: implications for the historical biogeography of the region. International Geology Review. 2006;48:791–827. [Google Scholar]
  24. Klak C, Reeves G, Hedderson TA. Unmatched tempo of evolution in Southern African semi-desert ice plants. Nature. 2004;427:63–65. doi: 10.1038/nature02243. [DOI] [PubMed] [Google Scholar]
  25. Linder HP. Plant species radiations: where, when, why? Philosophical Transactions of the Royal Society B: Biological Sciences. 2008;363:3097–3105. doi: 10.1098/rstb.2008.0075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Manning JC, Goldblatt P. A revision of Tecophilaeaceae subfam. Tecophilaeoideae in Africa. Bothalia. 2012;42:21–41. [Google Scholar]
  27. Milne RI. Northern Hemisphere plant disjunctions: a window on Tertiary land bridges and climate change? Annals of Botany. 2006;98:465–472. doi: 10.1093/aob/mcl148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Nylander JAA, Olsson U, Alström P, Sanmartín I. Accounting for phylogenetic uncertainty in biogeography: a Bayesian approach to dispersal–vicariance analysis of the thrushes (Aves: Turdus) Systematic Biology. 2008;57:257–268. doi: 10.1080/10635150802044003. [DOI] [PubMed] [Google Scholar]
  29. Nylander JAA. MrModeltest. Uppsala: Evolutionary Biology Centre, Uppsala University; 2004. version 2·2. Program distributed by the author http://www.abc.se/~nylander/ [Google Scholar]
  30. Paradis E, Claude J, Strimmer K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 2004;20:289–290. doi: 10.1093/bioinformatics/btg412. [DOI] [PubMed] [Google Scholar]
  31. Pires JC, Maureira IJ, Givnish TJ, et al. Phylogeny, genome size, and chromosome evolution of the Asparagales. Aliso. 2006;22:287–304. [Google Scholar]
  32. R Development Core Team. R: a language and environment for statistical computing. 2010 http://www.r-project.org . [Google Scholar]
  33. Rambaut A, Drummond AJ. Tracer version 1·5. 2007 Available from: http://beast.bio.ed.ac.uk/Tracer . [Google Scholar]
  34. Ravenna P. New or noteworthy Tecophilaeaeceae. Phytologia. 1998;64:288–289. [Google Scholar]
  35. Ree RH, Smith SA. Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. Systematic Biology. 2008;57:4–14. doi: 10.1080/10635150701883881. [DOI] [PubMed] [Google Scholar]
  36. Ree RH, Moore BR, Webb CO, Donoghue MJ. A likelihood framework for inferring the evolution of geographic range on phylogenetic trees. Evolution. 2005;59:2299–2311. [PubMed] [Google Scholar]
  37. Reeves G, Chase MW, Goldblatt P, Rudall P, Fay MF, Cox AV, Lejeune B, Souza-Chies T. Molecular systematics of Iridaceae: Evidence from four plastid DNA regions. American Journal of Botany. 2001;88:2074–2087. [PubMed] [Google Scholar]
  38. Savolainen V, Chase MW, Hoot SB, et al. Phylogenetics of flowering plants based on combined analysis of plastid atpB and rbcL gene sequences. Systematic Biology. 2000;49:306–362. doi: 10.1093/sysbio/49.2.306. [DOI] [PubMed] [Google Scholar]
  39. Seberg O, Petersen G, Davis JI, et al. Phylogeny of the Asparagales based on three plastid and two mitochondrial genes. American Journal of Botany. 2012;99:875–889. doi: 10.3732/ajb.1100468. [DOI] [PubMed] [Google Scholar]
  40. Shaw J, Lickey EB, Beck JT, et al. The tortoise and the hare II: relative utility of 21 noncoding chloroplast DNA sequences for phylogenetic analysis. American Journal of Botany. 2005;92:142–166. doi: 10.3732/ajb.92.1.142. [DOI] [PubMed] [Google Scholar]
  41. Simpson MG, Rudall PJ. Tecophilaeaceae. In: Kubitzki K, editor. The families and genera of vascular plants III. Flowering plants. Monocotyledons. Lilianae (except Orchidaceae) Heidelberg: Springer; 1998. pp. 429–436. [Google Scholar]
  42. Taberlet P, Gielly L, Pautou G, Bouvet J. Universal primers for amplification of three non-coding regions of chloroplast DNA. Plant Molecular Biology. 1991;17:1105–1109. doi: 10.1007/BF00037152. [DOI] [PubMed] [Google Scholar]
  43. Valente LM, Savolainen V, Manning JC, Goldblatt P, Vargas P. Explaining disparities in species richness between Mediterranean floristic regions: a case study in Gladiolus (Iridaceae) Global Ecology and Biogeography. 2012;20:881–892. [Google Scholar]
  44. Zwickl DJ. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. 2006 PhD dissertation, The University of Texas at Austin. Available from: http://garli.googlecode.com . [Google Scholar]

Articles from Annals of Botany are provided here courtesy of Oxford University Press

RESOURCES