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© 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 216 Botanical Journal of the Linnean Society, 2019, 191, 216–235. With 4 figures. Evolution of reproductive traits and selfing syndrome in the sub-endemic Mediterranean genus Centaurium Hill (Gentianaceae) VANIA JIMÉNEZ-LOBATO1,*, MARCIAL ESCUDERO1,, ZOILA DÍAZ LIFANTE1, CRISTINA ANDRÉS CAMACHO1, ALEJANDRA DE CASTRO1, GUILHEM MANSION2, LOUIS ZELTNER3 and JUAN ARROYO1 1Departamento de Biología Vegetal y Ecología, Facultad de Biología, Universidad de Sevilla, Spain 2Freelance writer, Zurich, Switzerland 3Laboratoire de Botanique Evolutive, Université de Neuchâtel, Neuchâtel, Switzerland Received 18 June 2018; revised 22 May 2019; accepted for publication 18 June 2019 In flowering plants, the shift from outcrossing to selfing is associated with a set of correlated changes in morphological and reproductive features known as the ‘selfing syndrome’. Species of the sub-endemic Mediterranean genus Centaurium Hill (Gentianaceae) exhibit a wide array of flower traits related to pollination biology and different ploidy levels. We explored if the evolutionary transitions of seven flower traits and life cycle, typically associated with the selfing syndrome, are related to polyploidy, diversification patterns, divergence times and the geological and climatic history of the Mediterranean Basin. Using 26 species of Centaurium we reconstructed a phylogenetic tree, inferred the ancestral states of the selected traits, estimated their phylogenetic signal and tested the correlative evolution among them. We found a significant increase in diversification rates during the Quaternary. Anther length, flower size, herkogamy and polyploidy undergo rapid state transitions without phylogenetic signal that could be the result of adaptation for selfing. Changes in character states do not show evidence of correlative evolution among them, as would be predicted during the evolution of selfing syndrome. The evolution of reproductive traits in Centaurium has probably relied on a more diverse array of drivers than just reproductive assurance or polyploidy events. KEYWORDS: comparative method – flower evolution – herkogamy – Iberian Peninsula – mating system – Mediterranean Basin – phylogenetic tree – polyploidy – reproductive assurance – selfing. INTRODUCTION Flowering plants have moulded their history in close association with pollinators. The world’s astonishing diversity of flowers is regarded as a logical outcome in plants pollinated by animals (Baker & Stebbins, 1965). On the other hand, during many periods of time and in many regions angiosperms have had to confront a lack or scarcity of adequate pollinators. In the past, the ability to self-fertilize has played a role in the persistence of certain lineages under environmental conditions characterized by a shortage or unsuitability of pollinators (Baker, 1955; Pannell, 2015). The shift from outcrossing to partial or complete selfing is one of the most frequent evolutionary transitions in flowering plants (Goodwillie, Kalisz & Eckert, 2005; Eckert et al., 2010). The critical stage in the transition towards selfing is the loss of a selfincompatibility system (SI) (Baker, 1955; Goodwillie, 1999). Once SI is lost, self-compatible (SC) species can outcross, self or develop a mixed mating system. Although a mating system can be measured directly by outcrossing rates (t), the flower phenotype and reproductive changes associated with transitions towards selfing are frequently used as a proxy given the difficulties inherent in estimating outcrossing rates in a large number of populations and species over time (Goodwillie et al., 2010; Sicard & Lenhard, 2011). The selfing syndrome consists of a set of correlated reproductive features usually associated with self-pollination, be it autonomous or mediated by pollinators. 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THE EVOLUTION OF SELFING SYNDROME IN CENTAURIUM 217 © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 flower (herkogamy) (Herlihy & Eckert, 2007) or a diminution in the size of perianth traits that attract pollinators (Goodwillie et al., 2010) are commonly reported. However, selfing increases homozygosity in populations, which itself may generate inbreeding depression (Charlesworth & Willis, 2009), a lack of potential for novel allelic combinations (Glemin, Bazin & Charlesworth, 2006; Wright et al., 2008), or drive a drastic increase in extinction rates (Goldberg et al., 2010; Igic & Busch, 2013). For this reason, selfing has been described as a hypothetical evolutionary ‘deadend’ (Stebbins, 1957). The advantage of selfing over outcrossing can be explained by several factors. The two main theories are (1) the ‘automatic advantage of selfing’ (Fisher, 1941), based on the 3:2 potential gene-level advantage of selfing genes over genes causing outcrossing, and (2) selfing as a mechanism of reproductive assurance (Baker, 1955; Stebbins, 1957). The latter factor refers to the fact that, under conditions of pollen limitation, an increase in the self-fertilization rate may in fact be beneficial for populations and ensure sexual reproduction (Morgan & Wilson, 2005; Eckert, Samis & Dart, 2006). The evolution of selfing is promoted in colonizer, pioneer and annual/short-lived species in recently available and disturbed habitas, probably because these species frequently have to withstand a scarcity or dearth of pollinators (Barrett, 2010; Pannell, 2015). The reproductive assurance hypothesis has been tested both at macro- and micro-evolutionary levels (e.g. Goodwillie, 1999; Kalisz, Vogler & Hanley, 2004; Moeller & Geber, 2005). Moreover, modern genomic tools are now being applied in an attempt to unravel the underlying genetic mechanisms in, for example, selfing Capsella Medik. species (Foxe et al., 2009; Sas et al., 2016; Sicard et al., 2016). A third but less well understood theory explaining the evolution of selfing is polyploidy. Polyploid plants frequently have higher selfing rates than their diploid relatives (Stebbins, 1950; Barringer, 2007; Glick et al., 2016) due potentially to a reduction in inbreeding depression. This could be provoked by the presence of multiple gene copies hindering the formation of homozygotes, given the ability of polyploids to break down the SI and the minority-cytotype disadvantage (Levin, 1975), which can occur in neopolyploids co-occurring with their diploid progenitors (Barringer, 2007). Polyploidization is regarded as a unidirectional and irreversible process (Ramsey & Schemske, 2002; Meyers & Levin, 2006; the reversion to the original ploidy level, polyhaploidy, albeit possible, is extremely rare). Polyploids have sometimes been considered ‘dead-ends’ that are present more often at the tips of phylogenies and tend to be nested within larger diploid groups (Mayrose et al., 2011, 2015). However, it is known that many plant radiations have been preceded by polyploidy events (Soltis et al., 2014). Evolutionary patterns of mating systems along lineages support the hypothesis of outcrossers as ancestors of selfing taxa (Takebayashi & Morrell, 2001; Wright et al., 2008). The SI to SC transition is frequent and follows Dollo’s law of irreversibility (Goodwillie, 1999; Igic, Bohs & Kohn, 2004). Similarly, the switch from outcrossing to selfing is most frequently encountered in clades in which SC has already evolved but which are not necessarily selfers (Takebayashi & Morrell, 2001). However, controversy still reigns regarding the ancestral and derived states of selfing traits, which in many cases are idiosyncratic of particular plant groups. For instance, as predicted, in some taxa such as Clarkia xantiana A.Gray (Moeller & Geber, 2005), Gilia achilleifolia Benth. (Takebayashi, Wolf & Delph, 2006), Eichhornia paniculata Solms (Vallejo-Marín & Barrett, 2009) and Mimulus guttatus DC. (Ritland & Ritland, 1989) the evolution of the selfing syndrome from outcrossing relatives has been accompanied by an increase in selfing rates. However, in other cases, floral traits related to outcrossing such as large corollas and approach herkogamy (the stigma protruding beyond the anthers; Webb & Lloyd, 1986) seem to be derived from states associated with selfing (small corolla and non-herkogamy) (Olmstead, 1989; Armbruster, 1993; de Vos, Wüest & Conti, 2013). It is evident that the directional transition from outcrossing towards selfing has occurred repeatedly in angiosperms (Eckert et al., 2010). Conversely, there is as yet no consensus as to (1) whether the selfing syndrome always evolves as a consequence of the evolution of selfing or is a by-product of the relatedness between species with no current adaptive value; (2) whether or not there is a directional trajectory of character states along lineages and (3) whether or not there are consistent patterns of phenotypic and genetic correlations between ‘selfing traits’ or between these traits and polyploidy. Studies using a phylogenetic framework to examine the evolution of the reproductive traits putatively associated with the respective mating strategies remain scarce. The family Gentianaceae Juss. and, in particular, the genus Centaurium Hill exhibit a wide array of flower forms and architectures (see Fig. 1) in, above all, structures related to pollination and reproductive biology (Struwe et al., 2002; Pringle, 2014). Available data in the literature suggest that the SC system is widespread in this family and in Centaurium species (Pringle, 2014; and Supporting Information, Table S1), which will help any analysis of the value of flower variation in selfing, regardless of a virtually constant SC. Hence, Centaurium is a good model for studying how a mating system such as the selfing syndrome Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
218 V. JIMÉNEZ-LOBATO ET AL. © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
THE EVOLUTION OF SELFING SYNDROME IN CENTAURIUM 219 © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 may evolve mediated by morphological flower traits, independently of incompatibility systems (Randle, Slyder & Kalisz, 2009). Centaurium consists of 27–30 species/subspecies, some of which are polyploids (Mansion, Zeltner & Bretagnolle, 2005; Díaz Lifante, 2012). This genus is sub-endemic to the Mediterranean Basin, and just a few Centaurium species are found in temperate Europe, western and central Asia, North Africa and North America. Unfortunately, data on the predominant mating systems in Centaurium are very scarce and reports suggest that they are mainly facultative or obligate selfers (Pringle, 2014) (Supporting Information, Table S1). In three species – C. erythraea Rafn subsp. erythraea, C. pulchellum (Sw.) Druce and C. littorale subsp. littorale (Turner) Gilmour – selfing is associated with the evolution of the selfing syndrome as a reproductive assurance mechanism dependent on pollinator behaviour (Brys & Jacquemyn, 2011). However, it is not clear whether or not the selfing syndrome occurs throughout the whole genus or whether it is only found in one or just a few related clades. Diversification patterns in Centaurium are expected to be related to the complex geological and climatic history of the Mediterranean Basin, as has already been disentangled for a number of lineages (e.g. Cistaceae Juss., Guzmán & Vargas, 2009). In particular, transitions towards selfing could be related to harsher environmental conditions, as in the case of C. erythraea subsp. erythraea at micro-evolutionary scale (Brys & Jacquemyn, 2012). In addition, the high percentage of polyploids suggests that genome duplication may also have played an important role in the evolution of selfing in the genus (Stebbins, 1950; Mable, 2004). In this study, we explored the diversification patterns and divergence times, as well as the evolutionary transitions and trajectories, of the flower traits that are typically related to the mating system, life history and polyploidy in the genus Centaurium. As a result of the close relationship between the selfing strategy and certain floral traits reported in this genus (Brys & Jacquemyn, 2011, 2012), we used the traits putatively related to the selfing syndrome as a proxy for the mating system. Specifically, our goals were (1) to clarify the phylogenetic relationships within the genus, (2) to infer divergence times, (3) to explore diversification patterns, (4) to map the transitions and trajectories of polyploidy, and reproductive and life-history traits on the phylogenetic tree, (5) to study the phylogenetic signal in polyploidy and reproductive and life-history traits and, finally, (6) to test whether or not there is correlative evolution between herkogamy, flower size, flower display and polyploidy, expected under a transition towards the selfing syndrome. In attempting to answer these evolutionary questions, we hope to throw more light on how different plants confront environmental changes, in particular those associated with disturbances and pollinator decline, two processes that are predicted to intensify as a result of global change. MATERIAL AND METHODS Study plantS Centaurium, mainly found in the Mediterranean Basin, Europe and western Asia, is the most speciesrich genus in subtribe Chironiinae of Gentianaceae (Mansion et al., 2005). Its monophyly has already been demonstrated (Mansion et al., 2005). The most recent systematic studies of the genus have identified 27–30 species and subspecies, with c. 40% diploid and 60% polyploid taxa (probably c. 30% autopolyploids and 30% allopolyploids; Zeltner, 1970; Melderis, 1972a, b; Mansion et al., 2005; Díaz Lifante, 2012). Previous phylogenetic analyses based on sequences from plastid DNA (trnL intron and trnL-F spacer) and nrDNA (ITS) have inferred several major clades (Mansion et al., 2005). Mansion et al. (2005) report that allopolyploidy has played an important role in the evolutionary history of this genus. However, the allopolyploidy/ autopolyploidy origin of these polyploids has not yet been proven. The exception is C. discolor (Gand.) Ronniger, which has been shown to be an allopolyploid species (Guggisberg, Bretagnolle & Mansion, 2006). In the current study, we expand on the work by Mansion et al. (2005) and increase the number of taxa and studied DNA regions. A total of 69 samples belonging to 29 taxa were included in our study: 26 taxa (18 species and 8 subspecies) of Centaurium, Schenkia spicata (L.) G. Mans. and Exaculum pusillum Caruel as sister lineages, and Blackstonia perfoliata (L.) Huds. as an outgroup (Mansion & Struwe, 2004; Mansion et al., 2005). The taxonomic treatment proposed by Mansion & Struwe (2004), with modifications by Díaz Lifante Figure 1. Reproductive traits analysed in Centaurium species. A, Medium-to-low flower display in C. pulchellum (left) and C. tenuiflorum (right); B, High flower display in C. quadrifolium subsp. barrelieri. Variation in herkogamy level: C, High lateral herkogamy in C. grandiflorum subsp. boissieri; D, Medium herkogamy in C. grandiflorum subsp. majus; E, Nonherkogamy in C. pulchellum; F, Outline of a C. discolor flower; G, outline of a C. suffruticossum flower and H, Outline of a C. scilloides flower. Photographs A, D, E: Z. Díaz Lifante; B: V. Jiménez-Lobato; C: R. Santos-Gally and F–H were obtained from Díaz Lifante (2012). Fs, flower size; Al, anther length; Anz, zygomorphic androecium symmetry; Anr, radial androecium symmetry; Stc, curved style position; Ste, erect style position and Hk, herkogamy. Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
220 V. JIMÉNEZ-LOBATO ET AL. © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 (2012) for the species present in the Iberian Peninsula, was followed (Supporting Information, Table S2). The collection of the material was performed both in the field and in herbaria [Universidad de Sevilla (SEV), Real Jardín Botánico de Madrid (MA), Universidad de Santiago de Compostela (SANT), Universidad de Valencia (VAL), Universidad de Málaga (MGC), Neuchatel (NEU)]. Thirty-six accessions from ITS and the trnL-F spacer-trnL intron complex were downloaded from GenBank (Supporting Information, Table S3). trait characterization Nine traits (seven floral traits, polyploidy and life history) were selected to analyse evolutionary patterns. The selection of traits was based on their putative relationship with selfing and their variability across species samples. Trait values were obtained by direct observations in the field or greenhouses, from measurements of herbarium material and from diverse taxonomic and floristic sources (Supporting Information, Table S4). The ploidy (Pl) level was taken from Mansion et al. (2005) and the values for the rest of the traits from Mansion & Struwe (2004), Mansion et al. (2005) and Díaz Lifante (2012). Traits were coded as binaries as follows: ploidy level (Pl), 0: diploid, 1: polyploid; flower display (Fd, as total number of flowers in anthesis phase simultaneously), 0: low [pauciflora (< 30 flowers per plant)], 1: high [multiflora (> 30 flowers per plant)]; flower size (length) (Fs), 0: small- to-medium (< 15 mm), 1: large (> 15.1 mm); anther length (Al), 0: medium-to-large (> 2.1 mm), 1: short (< 2 mm); androecium symmetry (An), 0: radial, 1: zygomorphic; style position (S), 0: erect, 1: curved; herkogamy (Hk), 0: low (contact between stigmas and anthers), 1: high (no contact between stigmas and anthers); and stigma length (Sl), 0: medium-to-large (> 0.8 mm), 1: short (< 0.7 mm). The life-history traits were classified as follows: life cycle (Lc), 0: annual or biennial; 1: perennial. A binary categorization of certain continuous data (Fd, Fs, Al, Hk, Sl) was employed for the sake of simplicity in further phylogenetic correlation analyses with natural binary traits. Categories were based on the knowledge of the diagnostic value of the distribution of measurements published by Díaz Lifante (2012) for the Iberian plants, completed with measurements of herbaria specimens from other Euro-Mediterranean regions based in the same criteria (Díaz Lifante, 2012). The low sample number (N = 26) precluded a proper analysis of the frequency distribution of these continuous traits, which would have enabled us to select cut-off points. dna extraction, molecular markerS and Sequencing We extracted and isolated the total genomic DNA from 30 mg of leaf tissue using Invisorb Spin Plant Mini Kit (Stratec molecular, Berlin, Germany). For each sample, six plastid DNA regions (matK, psbA-trnH intergenic spacer, trnL intron + trnL-F intergenic spacer, rpoB, rpoC and atpF-atpH intergenic spacer) and three nuclear DNA regions [internal transcribed spacer (ITS), external transcribed spacer (ETS) and NADPH- cytochrome P450 reductase (CPR1)] were amplified and sequenced. PCR reactions were performed using a Veriti 96 Well Thermal Cycler (Thermo Fisher Scientific Inc., MA, USA) at the University of Seville, and sequencing reactions were performed in a Bio- Rad DNA Engine Tetrad 2 Peltier Thermal Cycler (Bio-Rad, CA, USA) using the ABI BigDye Terminator v.3.1 Cycle Sequencing Kit (Thermo Fisher Scientific Inc., MA, USA) in the Macrogene Europe Laboratory (Amsterdam, the Netherlands). The PCR mixture consisted of 5 μL 5× reaction buffer, 1 μL dimethyl sulphoxide solution, 1 μL 10 mg mL−1 bovine serum albumin solution, 1 μL 10 μM for each primer, 0.1 u per μL polymerase (My Taq Red), 1–2 μL template DNA and 11–12.5 μL distilled water, resulting in a total volume of 25 μL per reaction. We used the primers and PCR parameters employed previously in published studies on Centaurium species: Mansion et al. (2005) for ITS and trnL-F; Schwarz et al. (2009) for CPR1; Schaefer et al. (2011) for matK; Fazekas et al. (2008) for atpF-atpH, rpoB and rpoC and Kress & Erickson (2007) for psbA-trnH. The ETS DNA region had not been previously amplified or sequenced for any Centaurium species. We followed the conditions specified by Heenan et al. (2010) for Gentianella Moench. Due to the low success rates of amplification and sequencing, we designed a reverse primer for ETS (ETS-Gent_Rw: 5´-CAT GCA TGG CTT AAT CTT TGA -3´). The sequences obtained were edited with Sequencher v.4.1.4 (Gene Codes Corporation) and aligned using Muscle (Robert, 2004). We obtained 13 DNA matrices, one for each DNA region (nine), a combined plastid DNA matrix, an ITS + ETS combined matrix (including only those samples for which we were able to amplify and sequence ITS and ETS DNA regions), a nuclear DNA combined matrix (with only those samples for which we were able to amplify and sequence ITS and ETS DNA regions) and a nuclearplastid DNA combined matrix (including only those samples for which we were able to amplify and sequence ITS and ETS DNA regions). The accession numbers and localities sampled are described in the Supporting Information, Table S5. phylogenetic analySeS Bayesian inference analyses were performed on the 13 DNA matrices (see above) using a Markov chain Monte Carlo (MCMC) as implemented in MrBayes v.3.2 (Huelsenbeck et al., 2001; Ronquist & Huelsenbeck, Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
THE EVOLUTION OF SELFING SYNDROME IN CENTAURIUM 221 © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 2003; Ronquist et al., 2012). The simplest model of DNA evolution for each DNA region was selected using the AIC criterion from the analysis of each matrix in jModeltest v.2.1.3 (Guindon & Gascuel, 2003; Darriba et al., 2012). Two independent analyses of four Metropolis-coupled Markov chains were run for 5 million generations for single DNA region matrices and 10 million generations for the combined matrices, with convergence and stationarity determined using Tracer v.1.6 (Rambaut et al., 2014). After a burn-in of 25%, the remaining trees were used to construct a majority-rule consensus tree using posterior probability (PP) values as a measure of clade support (Alfaro, Zoller & Lutzoni, 2003). diverSification timeS A chronogram with absolute times was first estimated using combined nuclear (ITS1 and ITS2) and plastid (trnL intron and trnL-F spacer) matrices in BEAST2 (Drummond et al., 2012; Bouckaert et al., 2014) including one randomly selected sample per Centaurium species and one sample per main lineage from subtribe Chironiinae (Mansion & Struwe, 2004), downloaded from GenBank (Supporting Information, Table S3). Clock and tree models were linked for the nuclear and plastid partitions. The site model was unlinked (two different nucleotide mutations schemes were used based on jModeltest results). Two tree models (Yule model and Birth-Death model) in two alternative analyses were performed and the tree model with the best fit using the Bayes factor was selected. Trees were estimated using an uncorrelated lognormal relaxed clock model. Three calibration points (two secondary calibration points and one calibration point based on a geological event) were used: (1) a normal distribution prior with a mean of 27.7 Mya and SD of 4.0 Myr was applied to the crown node of subtribe Chironiinae (Mathews, Ruigrok & Mansion, 2015); (2) a normal distribution prior with a mean of 9.0 Mya and SD of 1.7 Myr was applied to the crown node of the clade Gyrandra Griseb. – Sabatia Adans. (Mathews et al., 2015) and (3) a uniform prior with an upper bound of 15.1 Myr, lower bound of 0.0 Myr and offset of 1.0 Myr was applied to the crown node of the clade Blackstonia Huds. – Ixanthus Griseb. (Mansion & Struwe, 2004). This last calibration was implemented using a flat prior since the dispersal-speciation of Ixanthus on the island of Tenerife could have happened any time since its origin to the present. This strategy was adopted given the absence of reliable fossils for subtribe Chironiinae and, specifically, for the genus Centaurium (Mansion & Struwe, 2004). The settings of the calibration points were determined using the recommendations by Ho & Phillips (2009). Analyses were conducted using three independent MCMC runs of 10 million generations each. Run convergences and burn-ins were assessed in Tracer v.1.6 (Lemey et al., 2009). Maximum clade credibility trees were calculated with TreeAnnotator v.2.3.2 (Drummond & Rambaut, 2007) using a PP limit of 0.95, a maximum clade credibility tree and the mean heights options. To obtain an ultrametric tree (that is, a chronogram with branch length proportional to the absolute time in million years) with the highest resolution for performing the comparative phylogenetic analyses, we conducted a second analysis with BEAST2. The first BEAST2 analysis inferred respective ages of 10.3 Mya (95% highest posterior densities [HPD]: 8.3–12.3) for the crown node of the genus Centaurium and 14.9 Mya (95% HPD: 12.6–17.2) for crown node of the clade Schenkia Griseb. – Exaculum Caruel – Centaurium. Those estimates were then used as secondary calibration points in a 29-taxa dataset analysis (26 Centaurium samples, one per taxon randomly selected, plus one Schenkia, one Exaculum and one Blackstonia sample) using ITS, ETS and CPR1 DNA regions. The rest of the parameters were set as in the preliminary analysis. Despite sequencing and combining six plastid DNA regions in the MrBayes analyses, the combined plastid tree had a low resolution (mostly polytomies) and retrieved exceptionally only a few poorly supported clades, which were incongruent with the inferred nuclear tree and with previous taxonomic treatments (see Results). Accordingly, plastid regions were not included in this analysis because of the lack of resolution and probable partial incongruence (although this was difficult to evaluate due to the lack of resolution). SpecieS tree and diverSification timeS A species tree with absolute times was estimated from ITS, ETS, CPR1 and plastid gene trees with StarBEAST2 (Drummond et al., 2012; Bouckaert et al., 2014). We used 50 samples (1–2 samples per taxa) for which we were able to amplify and sequence ITS and ETS (plastid sequences were available for these 50 samples and for most CPR1). Clock model, tree model and site model were unlinked for ITS, ETS, CPR1 and plastid partitions. A calibrated Yule model was selected as the tree model for gene trees, which were estimated using an uncorrelated lognormal relaxed clock model. As indicated above, for subtribe Chironiinae the BEAST2 analysis inferred ages of 10.3 Mya (95% HPD: 8.3–12.3) for the crown node of the genus Centaurium and 14.9 Mya (95% HPD: 12.6–17.2) for the crown node of the clade Schenkia – Exaculum – Centaurium. These estimates were used again as secondary calibration points. Analyses were conducted using twelve independent MCMC runs of 500 million generations each. Run convergences and burn-ins were assessed in Tracer v.1.6 (Lemey Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
222 V. JIMÉNEZ-LOBATO ET AL. © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 et al., 2009). A maximum clade credibility tree was calculated with TreeAnnotator v.2.3.2 (Drummond & Rambaut, 2007) using a PP limit of 0.90, a maximum clade credibility tree and the mean heights options. The tool DensiTree (Drummond & Rambaut, 2007) was also used to represent inferred trees (we plotted consensus trees representing the HPD of 95% of the species tree searches). diverSification patternS The 29 taxa consensus tree and 1000 randomly selected post-burn-in trees obtained from the BEAST2 analysis were pruned using the drop.tip function implemented in R package ape (Paradis, Claude & Strimmer, 2004; R Development Core Team, 2015) to remove samples from Schenkia, Exaculum and Blackstonia. The pruned trees were used to study diversification patterns and trait evolution. Lineages-through-time (LTT) analyses were performed using the pruned BEAST2 consensus tree and 1000 post-burn-in trees with the functions mltt.plot and ltt.lines implemented in R package ape (Paradis et al., 2004). The gamma statistic (Pybus & Harvey, 2000) was also calculated for the 1000 post-burn-in trees as implemented in the ltt R function in phytools (Revell, 2012). The diversification pattern was studied by fitting different models of diversification (Pure- Birth, Birth-Death, DDL, DDX, yule2rate, yule3rate and yule4rate) on the consensus tree, as well as on the 100 post-burn-in trees, using the function fitdAICrc implemented in the R package laser (Rabosky, 2007). anceStral State reconStruction We reconstructed the evolution of traits as binary characters using the one-state symmetrical Markov model (Mk1) and the two-state asymmetrical Markov model (Mk2), implemented in the R package diversitree (Fitzjohn, 2012). We assumed that we had a full sample of the genus Centaurium (although the species limits are not totally clear in this genus, we believe we sampled most of its evolutionary significant units). In the case of polyploidy, we constrained the model to be unidirectional, thereby assuming an irreversible transition from polyploidy to diploidy. phylogenetic Signal The phylogenetic signal was estimated with the D measure used by Fritz & Purvis (2010), appropriate for binary traits, and implemented in the function phylo.d in R package caper (Orme, 2013). D is based on the sum of the differences between the two pairs of tips of each branch in the phylogenetic tree, scaled by the sum resulting from the differences obtained in a Brownian and a random phylogenetic pattern of evolution (Fritz & Purvis, 2010). A D statistic value of 1 (D = 1) means that the observed binary trait has a phylogenetically random distribution, while a value of 0 (D = 0) supports a clumped or Brownian pattern. The D value can fall outside this range with D < 0 in extremely clumped cases and D > 1 in case of overdispersion between character states. In addition, we tested the significance of the departure of D from 0 and 1 with P values obtained from 1000 permutations of the parameters used by D. trait correlation analySeS We used Pagel’s model (Pagel, 1994) for the correlated evolution of two binary traits as implemented in the function fitPagel of the R package phytools (Revell, 2012). We ran the analyses twice assuming both equal and different rates of transitions between character states. The analysed traits were: flower size, flower display, herkogamy and polyploidy; all of which are typically related to the selfing syndrome. RESULTS phylogenetic inference The combined nuclear matrix contained 1535 aligned characters (635 characters from ITS, 388 from ETS and 512 from CPR1). The topology recovered by MrBayes (Supporting Information, Fig. S1) showed three wellseparated clades, similar to those reported by Mansion et al. (2005): Clade A consisting of C. pulchellum, C. centaurioides (Roxb.) R.S.Rao & Hemadri, C. capense C.R.Broome, C. mairei Zeltner, C. discolor, C. maritimum (L.) Fritsch and C. malzacianum Maire; clade B consisting of C. tenuiflorum (Hoffmanns. & Link) Fritsch and C. serpentinicola Carlström; and clade C, whose internal lineage relationships are not very well resolved, consisting of three main subclades clustering as Clade C1: C. chloodes (Brot.) Samp., C. somedanum M.Laínz, C. scilloides (L.f.) Samp. and C. littorale subsp. littorale; Clade C2: C. grandiflorum subsp. boissieri (Willk.) Z.Díaz, C. quadrifolium subsp. barrelieri (L.M.Dufour) G.López, C. quadrifolium subsp. quadrifolium (L.) G.López & C.E.Jarvis and C. quadrifolium subsp. parviflorum (Willk.) Pedrol (this latter taxon is diploid and seems to be polyphyletic as one of its samples is sister to clade C2) and, finally, Clade C3: C. suffruticosum (Griseb.) Ronniger, C. grandiflorum (Pers.) Ronniger subsp. grandiflorum, C. grandiflorum subsp. majus (Hoffmanns. & Link) Z.Díaz, C. turcicum (Velen.) Ronniger, C. erythrea subsp. rumelicum (Velen.) Melderis, C. littorale subsp. uliginosum (Waldst. & Kit.) Melderis, C. erythraea subsp. erythraea and C. erythraea subsp. rhodense (Boiss. & Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
THE EVOLUTION OF SELFING SYNDROME IN CENTAURIUM 223 © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 Reut.) Melderis. The relationships between species and subspecies in this latter clade were poorly resolved and not well supported. Finally, C. quadrifolium subsp. linariifolium (Lam.) G.López forms a polytomy with the remaining species in clade C. Trees recovered from Bayesian inference from nuclear data regions, ITS, ETS, CPR1 and ITS-ETS (Supporting Information, Figs S2–S5, respectively), showed congruence for the main clades and for the within-clades relationships (PP > 0.90) and also were congruent with the nuclear combined ITS-ETS-CPR1 tree (Fig. S1). The combined plastid matrix contained 3772 aligned characters. The matrices of the six plastid DNA regions each revealed a limited number of informative characters (inferred trees displayed extremely low resolution; results not shown). The plastid tree inferred from the concatenated plastid sequences (also with a small number of informative characters) was also poorly resolved at within-clades relationships (Supporting Information, Fig. S6). The few inferred clades with high-to-moderate support were mostly incongruent with the taxonomical species delimitation, the subgeneric classification and the trees inferred from nuclear DNA regions (that mainly concern clades A and B). The tree inferred from combined nuclear and plastid DNA regions (Fig. S7) displayed similar results to the tree inferred from combined nuclear regions (Supporting Information, Fig. S1). diverSification time analySeS In the analysis of Chironiinae, the Yule model tree was better supported than the one based on the Birth-Death model (Bayes factor = 3.046). The divergence time in the Yule model tree for the crown node of Centaurium (PP = 1) inferred from ITS and trnL intron-trnLF of Chironiinae using BEAST2 (Fig. 2A) was 10.25 (Mya) (95% HPD: 6.37–15.17). The crown node of clade B–C of Centaurium was dated to 8.22 Mya (95% HPD: 4.55–12.5; PP = 0.99) and that of clade A to 7.29 Mya (95% HPD: 4.19–10.94; PP = 1.00). The crown node for clade B was dated to 0.67 Mya (95% HPD: 0.09–1.47; PP = 1.00) and that of clade C to about 2.73 Mya (95% HPD: 1.41–4.23; PP = 1.00). The topology of the maximum clade credibility (MCC) tree of Centaurium analysis (Fig. 2B) inferred from ITS, ETS and CPR1 using BEAST2 was congruent with the Centaurium clade in tree of the analysis of Chironiinae and also topologically congruent with the tree inferred from ITS, ETS and CPR1 nuclear regions using MrBayes (Supporting Information, Fig. S1). The crown node of Centaurium (PP = 1) was 10.32 Mya (95% HPD: 7.46–13.18). The crown node of clade B–C (PP = 1) was 8.13 Mya (95% HPD: 5.39–10.93); for clade A (PP = 1) was 5.8 Mya (95% HPD: 3.55–8.09); for clade B (PP = 1) was 0.35 Mya (95% HPD: 0.02– 0.82; PP = 1.00) and that of clade C to about 2.71 Mya (95% HPD: 1.57–4.08; PP = 1.00) (Fig. 2B). SpecieS tree and timeS of diverSification Species tree inferred using StarBEAST2 supported the monophyly of Centaurium and resolved two main clades (A–B and C) within (all with a PP = 1). In addition within the clade only two clades were supported with a PP of 0.91–0.94 (Fig. 3A). The remaining clades in the inferred species tree had a support lower than 0.90 PP. This pattern is also show in Fig. 3B in which just clades C and A–B are clearly separated. The lack of resolution at within-clade level in the species trees was explained by the fact that the single partitions (ITS, ETS, CPR1 and plastid) were not very explanative. As result, the gene trees were poorly resolved (mostly polytomies and poorly supported clades) and the species trees resulting from the combination of the gene trees was also poorly resolved (Fig. 3A, B). The diversification dates between BEAST2 and StarBeast2, taking into account the confidence intervals, are congruent. Nevertheless, the dates inferred in StarBeast2 are in general younger that the ones inferred in BEAST2, especially in the shallower nodes in StarBeast2 that are inferred as very recent. The MCC tree from the BEAST2 analysis of Centaurium was much better resolved as ITS, ETS and CPR1 were linked for the tree model in the MCMC iterations; the resulting MCC tree was better resolved as it combined the information from all the tree DNA regions (Fig. 2B). This lack of phylogenetic resolution from the species trees from StarBEAST2 precluded its use in further analyses. We used instead the MCC tree from the BEAST2 analysis of the genus Centaurium (Fig. 2B). diverSification patternS The gamma value for the MCC tree from Centaurium analysis using BEAST2 tree was 1.98 (P = 0.047), while the mean gamma value for the 1000 postburn-in trees was 2.05 (SD = 0.54). This indicates that nodes are concentrated towards the tips, which in turn suggests a recent and accelerated net diversification rate towards the present. The best model for explaining the diversification pattern in the MCC tree was yule3rate (AIC = −32.50); the second and third best models were yule4rate (AIC = −30.90) and yule2rate (AIC = −27.69), respectively. Yule3rate predicts an initial background diversification rate of 0.19 lineages per million years (lin. MY-1), with a significant increase in the diversification rate to 1.26 lin. MY-1 by 1.32 Mya, and with significant decrease in the diversification rate to 0.22 lin. MY-1 by 0.53 Mya. This model is also the best model for explaining the diversification patterns Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
224 V. JIMÉNEZ-LOBATO ET AL. © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 in 595 of the 1000 post-burn-in trees. There was a mean initial background diversification rate of 0.17 lin. MY-1 (SD = 0.08), with a significant increase in the diversification rate up to 1.41 lin. MY-1 (SD = 1.02) by 1.94 Ma (SD = 1.10 Mya) and a significant decrease in the diversification rate to 0.31 lin. MY-1 (SD = 0.17) by 0.73 Mya (SD = 0.72). For the rest of trees, the best models for explaining diversification patterns were yule2rate (280 trees) and yule4rate (120 trees). In yule2rate, the initial increase in diversification Figure 2. Phylogenetic trees inferred using BEAST2 for subtribe Chironiinae based on A, ITS, trnL-F spacer and trnL intron, and B, for Centaurium based on ITS, ETS and CPR1. Letters A–C refer to the clades reported by Mansion et al. (2005). Italic numbers associated with nodes refer to the mean estimated ages. The bars in grey show 95% highest posterior densities (HPD) of the estimated ages. Numbers above branches are posterior probability (PP) values (only shown > 0.90). Time scale in millions of years is below the trees and the Messinian Salinity Crisis (MSC) and the onset of the Mediterranean Climate (OMC) are highlighted in blue. Each code after taxon names (CENT) is associated with an accession number in GenBank. Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019
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THE EVOLUTION OF SELFING SYNDROME IN CENTAURIUM 235 © 2019 The Linnean Society of London, Botanical Journal of the Linnean Society, 2019, 191, 216–235 SUPPORTING INFORMATION Figure S1. Bayesian consensus tree of Centaurium obtained from the concatenated nuclear DNA matrix using MrBayes. Letters A–C refer to the clades and subclades reported by Mansion et al. (2005) and referred to in the text. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S2. Bayesian consensus tree of Centaurium obtained from the ITS matrix using MrBayes. Letters A–C refer approximately to the clades and subclades reported by Mansion et al. (2005) and referred to in the text. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S3. Bayesian consensus tree of Centaurium obtained from the ETS matrix using MrBayes. Letters A–C refer approximately to the clades reported by Mansion et al. (2005) and referred to in the text. Subclades C1–C3 are not clearly delimited and only clade C in shown. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S4. Bayesian consensus tree of Centaurium obtained from CPR1 matrix using MrBayes. Letters A–C refer approximately to the clades reported by Mansion et al. (2005) and referred to in the text. Subclades C1–C3 are not clearly delimited and only clade C in shown. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S5. Bayesian consensus tree of Centaurium obtained from the concatenated ITS-ETS DNA matrix using MrBayes. Letters A–C refer approximately to the clades and subclades reported by Mansion et al. (2005) and referred to in the text, with the exception of C. mairei (CENT58) associated to clade B and C. quadrifolium parviflorum (CENT60) associated to subclade C1. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S6. Bayesian consensus tree of Centaurium obtained from the concatenated plastid DNA matrix using MrBayes. Letters A–C refer approximately to the clades reported by Mansion et al. (2005) and referred to in the text. Subclades C1–C3 are not clearly delimited and only clade C in shown. Each code after taxa names (CENT) is associated with an accession number in GenBank. Figure S7. Bayesian consensus tree of Centaurium obtained from the concatenated nuclear and plastid DNA matrix using MrBayes. Letters A–C refer approximately to the clades reported by Mansion et al. (2005) and referred to in the text. Subclades C1–C3 are not clearly delimited and only clade C in shown. Each code after taxon names (CENT) is associated with an accession number in GenBank. Figure S8. Reconstruction of the ancestral states for Centaurium species obtained from Mk1 model, displayed on Nuclear DNAtree. A, Androecium symmetry (An); B, Style position (St) and C, Stigma length (Sl). Asterix (*) refers to significant supported nodes (PP > 0.94). Downloaded from https://academic.oup.com/botlinnean/article-abstract/191/2/216/5545651 by University of New England user on 25 September 2019