The buckwheat family Polygonaceae is a diverse group of plants and is a good model for investigating biogeography, breeding systems, coevolution with symbionts such as ants and fungi, functional trait evolution, hybridization, invasiveness, morphological plasticity, pollen morphology and wood anatomy. The main goal of this study was to obtain age estimates for Polygonaceae by calibrating a Bayesian phylogenetic analysis, using a relaxed molecular clock with fossil data. Based on the age estimates, we also develop hypotheses about the historical biogeography of the Southern Hemisphere group Muehlenbeckia. We are interested in addressing whether vicariance or dispersal could account for the diversification of Muehlenbeckia, which has a “Gondwanan” distribution.
Eighty-one species of Polygonaceae were analysed with MrBayes to infer species relationships. One nuclear (nrITS) and three chloroplast markers (the trnL-trnF spacer region, matK and ndhF genes) were used. The molecular data were also analysed with Beast to estimate divergence times. Seven calibration points including fossil pollen and a leaf fossil of Muehlenbeckia were used to infer node ages.
Results of the Beast analyses indicate an age of 110.9 (exponential/lognormal priors)/118.7 (uniform priors) million years (Myr) with an uncertainty interval of (90.7–125.0) Myr for the stem age of Polygonaceae. This age is older than previously thought (Maastrichtian, approximately 65.5–70.6 Myr). The estimated divergence time for Muehlenbeckia is 41.0/41.6 (39.6–47.8) Myr and its crown clade is 20.5/22.3 (14.2–33.5) Myr old. Because the breakup of Gondwana occurred from 95–30 Myr ago, diversification of Muehlenbeckia is best explained by oceanic long-distance and maybe stepping-stone dispersal rather than vicariance. This study is the first to give age estimates for clades of Polygonaceae and functions as a jumping-off point for future studies on the historical biogeography of the family.
Citation: Schuster TM, Setaro SD, Kron KA (2013) Age Estimates for the Buckwheat Family Polygonaceae Based on Sequence Data Calibrated by Fossils and with a Focus on the Amphi-Pacific Muehlenbeckia. PLoS ONE 8(4): e61261. doi:10.1371/journal.pone.0061261
Editor: Simon Ho, University of Sydney, Australia
Received: July 16, 2012; Accepted: March 11, 2013; Published: April 5, 2013
Copyright: © 2013 Schuster et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Richter Scholarship Program, Wake Forest University; the Vecellio Graduate Student Fund, Wake Forest University; and the Graduate School, Wake Forest University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The buckwheat family Polygonaceae Juss. with approximately 1,200 species  is morphologically diverse and growth forms include trees, shrubs, vines, lianas and herbs. Polygonaceae are found in a wide range of habitats from the Arctic to the tropics, from montane to lowland regions, and from arid to aquatic situations. Many thrive in disturbed habitats, are primary successors or short-lived fire ephemerals. Few synapomorphies exist for the entire group, but ocreae are found in most species. Ocreae are located at the leaf base and they encircle and sheathe the stem at the node, which may be swollen. Pollen and wood are exceptionally diverse in the buckwheat family and should be investigated with cladistic studies. Even though Polygonaceae are not considered a group of great economic value, some species are used as crops and in horticulture. For example, buckwheat (Fagopyrum esculentum Moench) is a staple in Russia and soba noodles made from its flour are popular in Japanese cuisine. Several species, such as Antigonon leptopus Hook & Arn., Persicaria perfoliata (L.) H.Gross and Reynoutria japonica Houtt. are used as ornamentals and have become invasive outside their native range.
Polygonaceae are mainly distributed in north temperate regions . For example, 35 of the 50 described genera occur in North America  and Polygonaceae are one of the approximately 30 plant families that occur north of the Arctic Circle . Few members of Polygonaceae are native to the Southern Hemisphere and these include Afrobrunnichia Hutch. & Dalziel, Chorizanthe R.Br. ex Benth., Coccoloba P.Browne, Duma T.M.Schust., Emex Neck. ex Campd., Magoniella Sanchez and Reveal, Muehlenbeckia Meisn., Oxygonum Burch. ex Campd., Persicaria Mill., Polygonum L., Rheum L., Ruprechtia C.A.Mey., Rumex L., Salta Sanchez and Reveal, Symmeria Benth. and Triplaris Loefl. –. Of these, Persicaria, Polygonum, Rheum and Rumex are more or less cosmopolitan, while the others are more restricted in their range, and a few have disjunct distributions across Australasia and South America as well as Africa and South America (e.g., Muehlenbeckia and Symmeria respectively). Based on fossil pollen from central Europe, Polygonaceae were estimated to have a minimum age corresponding to the Maastrichtian (approximately 65.5–70.6 Myr) to the Palaeocene (circa 55.8–65.5 Myr) , .
Muehlenbeckia is unique within Polygonaceae because of its amphi-Pacific disjunct distribution pattern. Eighteen species of Muehlenbeckia occur in Australasia and nine others are endemic to Central and South America (Table 1). Therefore, Muehlenbeckia is a good model to address vicariance and long distance dispersal (LDD) hypotheses for the Southern Hemisphere. The historic biogeography of Southern Hemisphere genera with a similar distribution to that of Muehlenbeckia, such as Araucaria Juss., Hebe Comm. ex Juss., Nothofagus, Podocarpus L'Hér. ex Pers. and Weinmannia L., is often viewed in the context of an ancient Gondwanan association of Antarctica, Australia (including Tasmania), New Caledonia, New Guinea, New Zealand and (southern) South America. Vicariance is a process that leads to speciation through the fragmentation of a widespread ancestral population by physical barriers, such as the breakup of landmasses due to plate tectonic movement. Extant taxa with disjunct distributions therefore, are likely the product of these taxa rafting to their present day localities on the fragmented landmasses that once made up Gondwana. Lineages that occur on constituent Gondwanan landmasses were long thought of as classic examples of vicariant speciation . Recently a paradigm shift has taken place concerning Southern Hemisphere biogeography, and LDD is thought to be at least equally as important for Southern Hemisphere plant group disjunctions –. This shift has occurred mainly because new molecular dating methods applied to Southern Hemisphere lineages have shown that in many cases these groups are much younger than the last physical contact of the vicariant landmasses they occur on , –. Because Muehlenbeckia has a so-called Gondwanan distribution (Table 1), we address the question of whether vicariant speciation is likely for this Southern Hemisphere group. Mainly, our goal is to report the first age estimates for major clades of Polygonaceae, which are based on Bayesian phylogenetic analyses of molecular data calibrated with fossils. Hypotheses for the biogeographic history of Southern Hemisphere groups such as Muehlenbeckia are also discussed.
Materials and Methods
The data set included 81 species of Polygonoideae (with an emphasis on Muehlenbeckia and its closest relatives Fallopia and Reynoutria ), Eriogonoideae and Plumbaginaceae, and the latter were used as outgroup. Afrobrunnichia and Symmeria were not included in this study because their position is labile. Nineteen of the 27 currently recognized species of Muehlenbeckia were included in the analyses and are shown in bold font in Table 1. Molecular data were not available for Muehlenbeckia andina, M. fruticulosa, M. hastulata, M. monticola, M. nummularia, M. polybotrya, M. sagittifolia and M. triloba. Species authors are not given in the text, but in Table 1 and Appendix S1.
Molecular data of four gene regions (2678 base pairs) were used including the two chloroplast (cp) genes matK and ndhF, one cp intergenic spacer region trnL-trnF, and the nuclear marker ribosomal ITS. Most sequences used here were generated for previous studies in Polygonaceae – and NCBI accession numbers are given in Appendix S1.
Sequences were aligned with Mafft v.6.717b  and option L-INS-i. This strategy assumes that there is one alignable domain that is flanked by difficult to align residues. Each DNA region was aligned individually and poorly aligned regions (characters with more than 50% gaps) were excluded from the analyses with Gblocks 0.91b . Congruence of datasets was tested with the Congruence Among Distance Matrices (Cadm) test by using Kendall's W statistic . We created a smaller dataset that contained only those species available for all four gene regions (35 taxa), because the program can only test congruence of distance matrices of the exact same size. This dataset included species from nearly all tribes (excluding Rumiceae). All aligned regions were concatenated into one dataset, because Cadm indicated congruence among the gene regions and comparison of bootstrap support among individual datasets and combined cp vs. nuclear analyses did not indicate strongly supported conflict. See Appendix S2 in Supporting Information for the alignment file.
Phylogenetic Analysis–Bayesian Inference
The dataset was analysed with MrBayes v.3.1.2 . Two parallel Bayesian analyses with four chains each and partitioned by DNA region were run for 10 million generations, a sample frequency of 1000 and a burn-in of 25%. Evolutionary models for each DNA region were determined by the Akaike Information Criterion (AIC)  with MrAIC v.1.4.3 . Detailed information about the models and priors used is given in Appendix S3. Tracer v.1.5  was used to evaluate mixing of chains and to determine burn-in. Posterior Probabilities (PP) indicate clade support and we define values of 1.00–0.90 as good, 0.89–0.70 as moderate and 0.69–0.50 as weak support.
Phylogenetic Analysis–Maximum Likelihood
A Maximum Likelihood (ML) phylogeny was inferred with RAxML 7.0.4 sequential version  based on the same dataset used for the MrBayes analysis. The partitioned ML analysis was conducted with a general time reversible (GTR) substitution model and 1000 rapid bootstrap replicates , with the latter indicating clade support. Likelihood of the final tree was optimized under GAMMA. We consider 100–90% bootstrap support (BS) as good, 89–70% as moderate and 69–50% as low.
Age Estimates–Fossil Calibration Points
We used seven fossils and a maximum age constraint of 125 Myr on the root of the tree in order to calibrate the Beast analyses. Based on the current consensus for the likely appearance of angiosperms 125 Myr ago –, we consider this to be the maximum age for Polygonaceae. Several pollen fossil dates and a leaf fossil of Muehlenbeckia from New Zealand are available for Polygonaceae. The publications citing the fossils used for our age calibrations (Table 2) include micrographs of the fossil pollen and illustrations of the leaf fossil, and can therefore be identified as belonging to the clades they were used to calibrate. For example, based on venation pattern and leaf shape, the leaf fossil was determined as similar to Muehlenbeckia australis by Pole . To the best of our knowledge, only Reynoutria has a similar leaf shape and venation pattern, but it is not native to New Zealand or Australia, which is why we agree with Pole's determination of the leaf fossil as Muehlenbeckia. The leaf fossil was dated to 12.7–22.0 Myr in the Miocene and was used to calibrate the age prior for the divergence of M. australis from its sister species. We use Ogg  and Cooper  to determine absolute ages of the fossils.
Table 2. A compilation of fossils cited for Polygonaceae.doi:10.1371/journal.pone.0061261.t002
Estimating Divergence Times–Relaxed Molecular Clock Analyses
In order to estimate divergence times within Polygonaceae, relaxed molecular clock analyses  were done with Beast 1.6.2 . Because we cannot be certain for how long a clade already existed before a particular fossil find, analyses were performed with uniform and non-uniform priors, which each operate under different assumptions that can impact the age estimates. The uniform and non-uniform priors were used to explore the range of possible ages and to get limits for the oldest and youngest age estimates of each clade. We performed two types of analyses with fossil calibrations: (1) uniform, hard minimum priors (2) exponential/lognormal distribution priors using an exponential distribution for pollen fossils and a lognormal distribution for the leaf fossil. We chose exponential priors for pollen fossils, because pollen data give a good estimate of the first occurrence of a taxon , , which is reflected in the shape of the exponential distribution . Lognormal priors are better suited when the assumption is reasonable that a clade is older than the fossil find . Because leaf fossils are much more rare than pollen fossils, they may be weak indicators of the exact time a clade occurred . Both exponential and lognormal priors can be calibrated to give the highest probability distribution close to the date of the respective fossil. Uniform priors allow for a higher range of uncertainty in the analysis but tend to estimate older ages than exponential or lognormal priors .
For all analyses, we set the maximum tree height to 125 Myr (Table 3). For the analysis using uniform priors, the lower bound was set to the youngest age of the fossil and the upper bound was set to 125 Myr. For the analysis using exponential priors (pollen fossils) the younger fossil ages were used as offset and the mean was set to the older fossil dates. With this option, there is a greater probability for a clade to be older than the oldest fossil age, because a clade has to be present before its fossils accumulate in the stratigraphic record , . For the same reason, we set the offset to the lowest and the mean to the upper age value for the lognormal priors (leaf fossil). Where no age range was available (Table 3), we used the given fossil age as offset and set the mean 10% older.
Table 3. Dating strategies for the Beast analyses.doi:10.1371/journal.pone.0061261.t003
A Yule prior was used to construct the tree and the ucld.mean was adjusted to a uniform prior of 10–0.000001 to reflect reasonable substitution rates per site for plants (Simon Ho, personal communication). Two independent runs for each prior setting (uniform and exponential/lognormal) were done in Beast with 100 million generations. Further details about parameters and priors are given in Appendix S3. The phylogenetic tree constructed with RAxML was used as a starting tree and all groups for which a fossil was available, and which were supported as monophyletic by the RAxML and MrBayes analyses, were constrained as monophyletic in Beast. Branch lengths of the starting tree were transformed to ages with the nonparametric rate smoothing (NPRS) algorithm  implemented in TreeEdit v1.0a10 . Each run was evaluated with Tracer v.1.5  for correct mixing of chains and stable ESS (effective sample size) values and burnin was set to 10%. Both runs were combined with LogCombiner v.1.6.2.  and summarized with TreeAnnotator v.1.6.2. .
The program Gblocks excluded 621 sites for nrITS, 140 for matK, 378 for ndhF and 567 for trnL-trnF (39% of the original alignment). The Cadm test indicated that the individual gene regions are congruent and yielded a Kendal's W statistic of 0.84 (p-value of 0.001), where 0 denotes incongruent data and 1 equals maximum congruency. The Akaike information criterion suggested a general time reversible model (GTR) of sequence evolution with GAMMA distribution of rates across sites (GTRG) for matK and trnL-trnF, and the addition of invariant sites for ndhF, and nrITS (GTRIG). Maximum Likelihood and MrBayes analyses resulted in the same phylogenetic relationships (Fig. 1, tree files in Appendix S4). Results discussed in the text mainly consider the MrBayes analysis, and findings for the ML analysis are shown as bootstrap support values on the Bayesian phylogram in Figure 1.
Figure 1. Fifty percent majority rule Bayesian tree.
Tree results from a MrBayes analysis of an 81-species dataset including four combined chloroplast and nuclear gene regions (matK, ndhF, trnL-trnF and nrITS). The analysis was run with 10 million generations and a burn-in of 25%. Clade support above 0.49 posterior probability (PP) and 49% bootstrap support (BS) is shown on the tree, and thick branches indicate a support of 1.00 PP/100% BS. Subclades within Muehlenbeckia that correspond to the geographical regions shown to the left of the tree are indicated as x, y-a, y-b and z. Polygonoideae are shown in black font, Eriogonoideae are indicated in blue and Plumbaginaceae (outgroup) in orange. The positions of fossil calibration points used in the Beast analyses are indicated by circled letters A–G (Table 3). Letter H indicates the maximum age constraint of 125 million years, which corresponds to the appearance of eudicots in the fossil record.doi:10.1371/journal.pone.0061261.g001
Polygonaceae are composed of two large clades that correspond to Eriogonoideae and Polygonoideae (Fig. 1). Within Polygonoideae, the addition of several more species of Atraphaxis in our study shows for the first time that this clade is sister to Polygonum (0.92 PP/87% BS) and that Duma is sister to this pair (1.00 PP/99% BS). Subclades formed by species of Muehlenbeckia from Australia and New Zealand (clade x), Australia (clades y-a and y-b), and species from New Zealand and Central and South America (clade z) receive good to moderate support. The relationships among these clades are weakly supported though.
With the exception of M. adpressa and M. tuggeranong, the Australian species of Muehlenbeckia form a clade (y-a plus y-b), which receives some support (0.73 PP/-% BS) in the MrBayes analysis. The well-supported clade y-a (1.00 PP/88% BS) includes the tropical M. arnhemica from northern Australia plus M. zippelii, which occurs in north eastern Australia and New Guinea, and another species pair formed by M. diclina and M. rhyticarya, which occur in southern Australia and on the East coast respectively (Fig. 1). The second clade of Australian species of Muehlenbeckia (y-b) includes the predominantly coastal species M. gunnii from southern Australia and Tasmania as well as the fire-ephemerals M. costata and M. gracillima. Clade y-b receives a support of 0.93 PP/63% BS. Muehlenbeckia tuggeranong in clade x, which is a narrow endemic of eastern Australia, is nested among species from New Zealand. The widespread M. adpressa, which occurs in the southern half of Australia as well as Tasmania, may be sister to clade x, but this relationship receives weak support. Also included in clade x is M. axillaris, which occurs in Australia, Tasmania and predominantly New Zealand. Clade z contains a well-supported subclade (1.00 PP/87% BS) of Central and South American species as sister to M. australis from New Zealand. Muehlenbeckia platyclada from New Guinea and the Solomon Islands is indicated as sister to clade z by both the MrBayes and ML analyses, but with weak support (0.63 PP/-% BS).
The uniform and exponential/lognormal analyses resulted in different age estimates (Fig. 2, Table 4). In all cases, age estimates for the uniform are older than for the exponential/lognormal analysis. Following, we show the youngest and oldest age of the 95% highest posterior density range of both analyses combined in parentheses after the exponential/lognormal and uniform prior mean age estimates.
Figure 2. Results from the Beast analyses.
Mean age estimates within Polygonaceae from the exponential/lognormal (top, regular font) and uniform (bottom, bold font) prior analyses are shown on the tree from the exponential/lognormal analysis. Highest posterior density (HPD) values (95%) are shown in square brackets. Mean age estimates and HPD values are not shown for nodes below 0.50 posterior probability. The scale axis indicates millions of years, and grey bars correspond to the stratigraphic ages Maastrichtian, Eocene and Miocene, while white bars indicate the Palaeocene and Oligocene. Subclade designations (x, y-a, y-b, z) within Muehlenbeckia correspond to clades recovered in the Bayesian analysis shown in Fig. 1 where fossil calibration points and individual species are shown. The corresponding geographic states for clades (x, y-a, y-b, z) are indicated to the left of the tree. Subclade designations for Muehlenbeckia, tribes of Polygonaceae and the outgroup are shown in bold font.doi:10.1371/journal.pone.0061261.g002
Table 4. Age estimates for selected stem clades of Polygonaceae.doi:10.1371/journal.pone.0061261.t004
With respect to divergence times (Table 4), results of the Beast analyses (Fig. 2, Appendix S4) indicate that the split between Polygonaceae and its sister group Plumbaginaceae is relatively old with 110.9/118.7 (90.7–125.0) Myr as compared to the age of eudicots at 125 Myr. This is also much older than previous ages given for Polygonaceae (55.8–70.6 Myr). The two main clades in the buckwheat family, Eriogonoideae and Polygonoideae split 97.8/105.5 (78.2–122.5) Myr ago and Polygoneae, which include the Southern Hemisphere genera Duma and Muehlenbeckia, likely diverged 69.1/75.8 (55.8–92.5) Myr ago. The stem node of Muehlenbeckia indicates that it diverged from its sister clade in the Eocene with a minimum age of 41.0/41.6 (39.6–47.8) Myr (Fig. 2). Most extant species of Muehlenbeckia diversified 20.5/22.3 (14.2–33.5) Myr ago, and the crown clade of the Central and South American group diversified 7.9/8.4 (3.2–15.3) Myr ago. The stem node of the Australian endemic Duma diverged around 39.4/44.5 (26.9–56.8) Myr ago, which is a similar time frame as for Muehlenbeckia, and Duma's crown clade diversified around 21.0/24.2 (8.8–38.8) Myr ago.
Results of the current MrBayes and ML analysis (Fig. 1) of one nr (ITS) and three cp (matK, ndhF and trnL-trnF) markers for the most part show the same results for the evolutionary relationships among and within all genera included when compared to the ML and Maximum Parsimony analyses of other studies (e.g., , , , , ). Since the evolutionary relationships among clades and the placement of genera within Polygonaceae are congruent across these studies, these results will not be reiterated here and only differences are discussed briefly. For example, the placement of Gilmania luteola with respect to Pterostegia drymarioides differs from Kempton's recent study  on Eriogonoideae. In Kempton's analysis, G. luteola is placed as sister to all other Eriogoneae, and Pterostegieae (including P. drymarioides and Harfordia macroptera) is sister to that clade with both relationships well supported. In our study and in previous analyses G. luteola branches before P. drymarioides and Eriogoneae with good support (1.00 PP/100% BS) and Burke and Sanchez  include Pterostegia in Eriogoneae. Since Kempton's  taxon sampling for Eriogonoideae and in particular Eriogoneae is much denser, we defer to her results. Furthermore, in Polygonoideae, the addition of more data for Atraphaxis resolved its position as sister to Polygonum (0.92 PP/87% BS), which is a novel result.
While most subclades within Muehlenbeckia receive good to moderate support, the relationships among these clades are not clear from the MrBayes and ML analyses, and more data are necessary to clarify this. For the most part, relationships within Muehlenbeckia are consistent with results from previous studies (e.g., ). In Schuster et al.'s  study, most species of Muehlenbeckia that occur in Australia formed a clade (except M. axillaris and M. tuggeranong), albeit with weak bootstrap support. The current MrBayes analysis shows similar results, except that M. adpressa may be included in clade x along with M. tuggeranong, M. axillaris and other species from New Zealand. Clade y-a includes a species pair of the tropical M. arnhemica from northern Australia and M. zippelii from north eastern Australia and New Guinea, and another species pair formed by M. diclina from southern Australia and M. rhyticarya from the East coast. The relationship of these two sister pairs shows a pattern observed in other groups of Australian plants, such as Eucalyptus L′Hér and Jacksonia Rees ,  as well as birds including Melithreptus honeyeaters  and fairy wrens . There appears to be a deep split between a Monsoon group from the Northern Territory and an East/South Coast group, which may have once been separated by the Carpentarian barrier –. The second clade (y-b) formed by Australian species of Muehlenbeckia in the MrBayes analysis includes M. gunnii from southern Australia and Tasmania as well as M. costata and M. gracillima from the East Coast. Clade z is always recovered with good support and is composed of a well-supported subclade formed by all Central and South American species sampled, which is sister to M. australis from New Zealand.
Age Estimates and Fossil Calibrations
These are the first age estimates for clades of the buckwheat family Polygonaceae. Our findings are based on dating methods using a relaxed molecular clock model calibrated with one leaf fossil of Muehlenbeckia and six pollen fossils of this genus and other Polygonaceae as implemented in Beast. Using fossils for calibration is not an easy task (e.g.,  and references therein), but it remains the best dating method currently available when care is taken with the calibration process , . Our results will allow for further hypothesis testing in a historical biogeographic context, although there are relatively large time span errors (Fig. S1).
Results from this study indicate that Polygonaceae likely diverged much earlier than previously thought (55.8–70.6 Myr ago) with estimated mean ages of 110.9 Myr for the exponential/lognormal and 118.7 Myr for the uniform analyses and comparatively early with respect to other eudicots (125 Myr ago). Taking the 95% highest posterior density values into account, the age estimates range from 90.7–125 Myr (Fig. 2). Given that eudicots are thought to have emerged approximately 125 Myr ago, this is relatively old for a group in the superasterids (including Asteridae, Caryophyllales and Santalales ). Eudicot (tricolpate) pollen appears in the fossil record about 125 Myr ago  and this date is well accepted based on the presence of monocolpate pollen and spores in earlier stratigraphic layers . It stands to reason though that eudicots could be older than 125 Myr, because they likely originated before the massive and abrupt appearance of tricolpate pollen in the fossil record. To our knowledge, no other studies discuss the age of Polygonaceae specifically, but several authors give estimates for the age of Caryophyllales. Ages of 99–102 Myr for crown Caryophyllales , 94.2–94.5 and 110.7–111.3 Myr for their crown and stem ages respectively , 104–111 Myr  and approximately 101 Myr  are given. Different data, analytic and fossil calibration approaches utilizing one to many fossils were used for these studies and they are therefore not necessarily comparable, but their results indicate a range of 94–111 Myr for the emergence of Caryophyllales.
The fossils used to calibrate the trees in these studies are for the most part macrofossils. Only one macrofossil, a Muehlenbeckia-like leaf has so far been reported for Polygonaceae , while several more calibration points are available when fossil pollen is taken into account. Thornhill et al.  argue that pollen fossils have several advantages over macrofossils due to the durability of sporopollenin and because they are stratigraphically and temporally vastly more abundant. Therefore, the probability of fossil pollen indicating a date closer to the actual origin of a group is higher. A weak point for pollen fossils is the limited availability of morphological characteristics in some groups [40 and references therein], . In Polygonaceae however, pollen morphology is a character of potentially great phylogenetic value , –. For example, in Polygonum the ektexine clearly differentiates the four recognized sections in the genus. Persicaria, which had been included in Polygonum until recent molecular analyses showed that it is not closely related to this group –, has a rather different pollen type as well , –. It is also important to note that one character that supports the segregation of Duma from Muehlenbeckia  is that they have a completely different pollen morphology as evidenced by Scanning Electron Microscopy data. While Muehlenbeckia has a punctate-striate pollen morphology, Duma has a faveolate pollen surface with micro-spinules , . This supports the inclusion of fossil pollen data in our analyses. Using pollen fossils allows for more calibration points, which estimates rate heterogeneity among lineages better and should result in more accurate age estimates . Thornhill et al.'s  results indicate that calibrations with additional fossil pollen dates yield older estimated ages compared to analyses dated with macrofossils alone, and this might explain our comparatively old age estimates for Polygonaceae with respect to previous analyses of Caryophyllales.
In addition, in our results, age estimates are consistently older for the uniform than for the exponential/lognormal analysis. Other authors  using a similar calibration scheme also found that exponential priors resulted in younger ages than analyses using uniform priors. This is not unexpected, because in our calibration scheme the exponential/lognormal priors gave a much smaller probability to the maximum age of 125 Myr than the uniform priors. In our exponential/lognormal prior calibration, the mean probability distribution was at the older age boundary of the fossil, whereas in the uniform calibration the probability for ages ranging from the maximum to the minimum age was the same. This was done to give a higher probability to ages older than the fossil find date for the exponential/lognormal analyses (see Material and Methods for more explanation). Setting the mean age to a date closer to the lower age boundary could have potentially resulted in slightly younger age estimates for the exponential/lognormal analyses. However, the time span between offset (younger fossil age) and mean (older date) overall only differed between 2.7 and 9.7 Myr (Table 3), so it is unlikely that this would have resulted in a considerably younger age of Polygonaceae. Interestingly, overall variation of ages was similar in the exponential/lognormal and uniform analyses (33.4 vs. 33.1 Myr respectively for clades shown in Table 4 and Fig. S1).
With respect to the historical biogeography of Polygonaceae, Schuster et al.  noted that the family might have its origin in Africa, because the African Symmeria and Afrobrunnichia likely are sister to all other members of the family , . The difficulty with testing this hypothesis is that the position of Afrobrunnichia is uncertain and strongly varies with taxon sampling and genetic markers used as does the position of Symmeria when Afrobrunnichia is excluded. Therefore, we decided to exclude these two species from our analyses. Until more data for these important African species are available, we can only develop hypotheses about the historical biogeography of Polygonaceae.
For Polygonaceae we here propose a working hypothesis, which involves either an African or a Gondwanan ancestor that gave rise to an American and Caribbean lineage (Eriogonoideae) and a second, widespread lineage that mostly occurs in the Northern Hemisphere (Polygonoideae). The question is whether diversification of the two main clades Eriogonoideae and Polygonoideae can be explained by vicariance or LDD. If the African Afrobrunnichia and Symmeria with a disjunct distribution in Africa and South America are indeed sister to the rest of the family vicariance seems somewhat plausible for Eriogonoideae, because the age estimates of 97.8/105.5 (78.2–122.5) Myr (Table 4) fit the time frame for the separation of South America from Africa 119–105 Myr ago . Clades within Eriogonoideae indicate a complex pattern of dispersal events between Central and South America, the Caribbean as well as western and eastern North America. The disjunction of the South American and African Symmeria will require further testing to say more about vicariance or LDD patterns of Eriogonoideae.
Polygonoideae may have an even more complex history, because they include several large clades with a worldwide distribution (Persicaria, Polygonum and Rumiceae). Within Polygonoideae, Knorringia sibirica from Central Asia and Yunnan is always indicated as sister to all other members of Polygoneae (Fig. 1). Within Polygoneae, the split between the mainly Australasian Muehlenbeckia and its closest relative Fallopia is dated at 41.0/41.6 (39.6–47.8) Myr. Most extant species of Fallopia occur in temperate Asia (mainly China, Japan and Korea) although some species are widespread due to anthropogenic factors . Reynoutria, another genus from temperate Asia, is sister to Fallopia + Muehlenbeckia. It is plausible that the ancestor of Muehlenbeckia could have spread to Australia and/or New Zealand from temperate Asia, because there is evidence for exchange of taxa between Asia and Australia in the Miocene , , . The presence of Muehlenbeckia in Oceania may be explained by stepping-stone dispersal of its ancestor from Asia (maybe via New Guinea). It should be noted that the extant Fallopia and Reynoutria are not native to Australia and New Zealand and that Muehlenbeckia is not extant in temperate Asia.
Alternatively, one could argue that the origin of Muehlenbeckia was a vicariant event, in which its ancestor rafted on a Gondwanan fragment such as India or Australia, because India made contact with Asia approximately 43 Myr ago and Australia is thought to be isolated only since 35–28 Myr ago , . However, by definition, a vicariance explanation for the diversification of Muehlenbeckia implies that the clades formed by species of this group which are found in New Zealand (clade x), Australia (clades y-a, y-b) and South America (subgroup of clade z) were present on all of these constituent land masses before the breakup of Gondwana 95–30 Myr ago . This is unlikely, since diversification of the crown clade of Muehlenbeckia is estimated at 20.5/22.3 (14.2–33.5) Myr (Fig. 2, Table 4), which is too young to satisfy the vicariance hypothesis. At 14.4–33.5 Myr, the 95% highest posterior density values of the uniform prior analysis for Muehlenbeckia (Fig. 2) is close to the breakup age of Gondwana, but all clades within Muehlenbeckia with disjunct distributions across e.g. New Zealand and South America are too young for vicariance.
For example, the chronogram (Fig. 2) shows evidence of LDD from New Zealand to Australia in Muehlenbeckia's clade x. Muehlenbeckia tuggeranong, which only occurs in Australia, is nested within clade x among species from New Zealand. Vicariance is unlikely, because crown clade x is estimated to be 13.3/14.6 (6.4–24.1) Myr old and Australia has been isolated since 35–28 Myr while New Zealand has been cut off since approximately 80–56 Myr. Long distance dispersal is likely also the most parsimonious explanation for the diversification of Muehlenbeckia, because the South American species of Muehlenbeckia are sister to M. australis, which is native to New Zealand and Norfolk Island in clade z. The age estimates for the split of M. australis and the South American clade at 12.5/13.1 (6.0–22.2) Myr is younger than the isolation ages of South America and New Zealand. South America has been isolated since 30 Myr ,  and New Zealand is thought to be isolated since 55.8 Myr , , though dates around 80 Myr are more commonly found in the literature (e.g., , ).
The date for the diversification of the Central and South American subclade in clade z (M. tamnifolia, M. tiliifolia, M. urubambensis, M. volcanica) at 7.9/8.4 (3.2–15.3) Myr correlates well with age estimates for a second uplift of the Eastern Cordilleras of the Northern and Central Andes , . Mountain building may also have influenced climatic and edaphic factors, since high mountain ranges create a barrier to precipitation . Climatic and edaphic factors, landslides and erosion could have created a mosaic of microhabitats that afforded new possibilities for diversification ,  as is thought to have happened in the species-rich Cape Floristic Province in South Africa . Radiation events during the uplift of the Andes have also been reported in other groups such as Chloranthaceae , Ericaceae , Fabaceae , Rubiaceae , Lepidoptera  and hummingbirds .
Most diversification events in Muehlenbeckia occurred after 20.5/22.3 (14.2–33.5) Myr ago, which correlates with the aridification and cooling of Australia in the Miocene –. Aridification may have resulted in an increase in the frequency of bushfires. Several of the Australian species of Muehlenbeckia (in clades y-a and y-b) are adapted to fire . For example, the fire-ephemeral M. diclina grows in scleromorphic mallee, a habitat characterized by stands of Eucalyptus L'Hér., Acacia Mill. and Triodia R.Br., which are adapted to burns. The fire-adapted species of Muehlenbeckia are difficult to classify as facultative or obligate seeders, because they usually senesce before another burn. However, they do respond strongly to fire cues for germination (Peter Clarke, personal communication). In contrast, the flora of New Zealand has few fire-adapted species and the Australian species that belong to the mixed Australian/New Zealand clade (x), such as M. tuggeranong and M. axillaris are also not adapted to fire. Radiation of Australian groups in the Miocene is observed frequently, and the crown clade of Duma also diversified within this time frame around 21.0/24.2 (8.8–38.8) Myr ago. Allocasuarina L.A.S. Johnson, Banksia L.f. , some Elaeocarpaceae Juss. , Eucalyptus  and some scleromorphic groups of Fabaceae Lindl.  also radiated during the Miocene in Australia. Similar adaptations to disturbance that may be caused by fire have occurred in other ecosystems, such as the South African fynbos, the chaparral in California, the Chilean matorral and the South American cerrado , , –.
To summarize, because the sister genera of Muehlenbeckia mainly occur in temperate Asia, which has never been considered part of Gondwana, and because clades of Muehlenbeckia with disjunct distributions across e.g. New Zealand and South America are younger than when these landmasses broke apart, LDD rather than vicariance is likely the main driver for diversification within this group. The crown clade of Muehlenbeckia diversified 20.5/22.3 (14.2–33.5) Myr ago, and this is younger than the isolation dates of Australia (35–28 Myr), Antarctica (32–30 Myr), New Zealand (80–55 Myr) and South America (32–30 Myr). Our age estimates for Polygonaceae and clades such as Muehlenbeckia are a starting point for further testing of its phylogeny in a biogeographic context. This will give more insights about the origin of Polygonaceae and the diversification of specific clades within this diverse and widespread family.
Comparison of age estimate variation (difference between highest and lowest 95% highest posterior density values) for selected clades of Polygonaceae from the Beast analyses using either exponential/lognormal or uniform priors.
NCBI accession numbers and voucher information for sequence data used in this study.
Concatenated alignment file for the four analysed gene regions, ndh F, mat K, trn L- trn F and nrITS.
Input files for the 1) exponential/lognormal and 2) uniform prior analyses in Beast for divergence time estimation of Polygonaceae.
Tree files resulting from the 1) Maximum Likelihood, 2) MrBayes, 3) Beast exponential/lognormal prior and 4) Beast uniform prior analyses.
This study would not have been possible without the generous help of Karen Wilson (National Herbarium of NSW, Royal Botanic Gardens, Sydney), who facilitated field trips to collect Australian species of Muehlenbeckia. We are also grateful to Simon Ho (U. of Sydney) for help with Beast and to Mike Macphail (Australian National U.) for discussions about Duma and Muehlenbeckia pollen. Jeremy Bruhl, Peter Clarke (U. of New England) and John Hosking (NSW Department of Primary Industries) are thanked for clarification about reproduction of fire-adapted species of Muehlenbeckia. Finally, the manuscript was improved based on the comments of two reviewers, whom we also thank.
Conceived and designed the experiments: TMS SDS KAK. Performed the experiments: TMS. Analyzed the data: TMS SDS. Contributed reagents/materials/analysis tools: TMS SDS KAK. Wrote the paper: TMS SDS KAK.
- 1. Sanchez A, Schuster TM, Burke JM, Kron KA (2011) Taxonomy of Polygonoideae (Polygonaceae): a new tribal classification. Taxon 60: 151–160.
- 2. Freeman CC, Reveal JL (2005) Polygonaceae. In: Flora of North America Editorial Committee, editors. Flora of North America.vol. 5. New York: Oxford University Press. pp. 216–218.
- 3. Alsos IG, Arnesen G, Sandbakk BE Flora of Svalbard. Available: http://svalbardflora.net/index.php?id=357. Accessed 2010 Dec 29.
- 4. Hutchinson J, Dalziel JM (1927) Polygonaceae. In: Hutchinson J, Dalziel JM, editors. Flora of west tropical Africa.vol. 1. London: Whitefriars. pp. 116–120.
- 5. Standley PC (1939) Polygonaceae. In: MacBride JF, Dahlgren BE, editors. Flora of Peru.vol. 13. Chicago: Field Museum of Natural History Press.pp. 444–469.
- 6. Graham RA (1957) A revision of Oxygonum. Kew Bull 12: 145–172. doi: 10.2307/4109117
- 7. Graham RA (1958) Polygonaceae. In: Turrill WB, Milne-Redhead E, editors. Flora of Tropical East Africa.vol. 1. London: Crown Agents.pp. 1–40.
- 8. Wilson KL (1990) Polygonaceae. In: Harden GJ, editor. Flora of New South Wales. vol. 1. Kensington: New South Wales University Press. pp. 278–293.
- 9. Greene PS (1994) Polygonaceae. Flora of Australia Online. Available: http://www.anbg.gov.au/abrs/online-resources/flora/stddisplay.xsql?pnid=52441. Accessed 2010 Dec 03.
- 10. Ayodele AE, Olowokudejo JD (2006) The family Polygonaceae in West Africa: Taxonomic significance of leaf epidermal characters. S Af J Bot 72: 442–459. doi: 10.1016/j.sajb.2005.12.009
- 11. Nowicke JW, Skvarla JJ (1977) Pollen morphology and the relationship of the Plumbaginaceae, Polygonaceae, and Primulaceae to the order Centrospermae. Smithsonian Contributions to Botany 37: 1–64. doi: 10.5479/si.0081024x.37
- 12. Muller J (1981) Fossil pollen records of extant Angiosperms-Polygonaceae. Bot Rev 47: 34–35. doi: 10.1007/bf02860537
- 13. de Quieroz A (2005) The resurrection of oceanic dispersal in historical biogeography. Trends Ecol Evol 20: 68–73. doi: 10.1016/j.tree.2004.11.006
- 14. Pole M (1994) The New Zealand flora-entirely long-distance dispersal? J Biogeogr 21: 625–635. doi: 10.2307/2846036
- 15. Winkworth RC, Wagstaff SJ, Glenny D, Lockhart PJ (2002) Plant dispersal N.E.W.S. from New Zealand. Trends Ecol Evol 17: 514–520. doi: 10.1016/s0169-5347(02)02590-9
- 16. Givinish TJ, Renner SS (2004) Tropical intercontinental disjunctions: Gondwana breakup, immigration from the Boreotropics, and transoceanic dispersal. Int J Plant Sci 165 (Suppl. 4)S1–S6. doi: 10.1086/424022
- 17. Pennington RT, Richardson JE, Lavin M (2004) Insights into the historical construction of species-rich biomes from dated plant phylogenies, neutral ecological theory and phylogenetic community structure. New Phytol 172: 605–616. doi: 10.1111/j.1469-8137.2006.01902.x
- 18. McGlone MS (2005) Goodbye Gondwana. J Biogeogr 32: 739–740. doi: 10.1111/j.1365-2699.2005.01278.x
- 19. Barker NP, Weston PH, Rutschmann F, Sauquet H (2007) Molecular dating of the ‘Gondwanan’ plant family Proteaceae is only partially congruent with the timing of the break-up of Gondwana. J Biogeogr 34: 2012–2027. doi: 10.1111/j.1365-2699.2007.01749.x
- 20. Renner SS, Foreman DB, Murray D (2000) Timing Transarctic disjunctions in the Atherospermataceae (Laurales): Evidence from coding and noncoding chloroplast sequences. Syst Biol 49: 579–591.
- 21. Sanmartín I, Ronquist F (2004) Southern Hemisphere Biogeography inferred by event-based models: plant versus animal patterns. Syst Biol 53: 216–243.
- 22. Schuster TM, Wilson KL, Kron KA (2011a) Phylogenetic relationships of Muehlenbeckia, Fallopia and Reynoutria (Polygonaceae) investigated with chloroplast and nuclear sequence data. Int J Plant Sci 172: 1053–1066. doi: 10.1086/661293
- 23. Sanchez A, Schuster TM, Kron KA (2009) A large-scale phylogeny of Polygonaceae based on molecular data. Int J Plant Sci 170: 1044–1055. doi: 10.1086/605121
- 24. Katoh K, Toh H (2008) Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform 9: 286–298. doi: 10.1093/bib/bbn013
- 25. Catresana J (2000) Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol 17: 540–552. doi: 10.1093/oxfordjournals.molbev.a026334
- 26. Leigh JW, Lapointe F-J, Lopez P, Bapteste E (2011) Evaluating phylogenetic congruence in the post-genomic era. Genome Biol Evol 3: 571–587. doi: 10.1093/gbe/evr050
- 27. Huelsenbeck JP, Ronquist FR (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinform 17: 754–755. doi: 10.1093/bioinformatics/17.8.754
- 28. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19: 716–723. doi: 10.1109/tac.1974.1100705
- 29. Nylander JAA (2004) MrAIC, program distributed by the author. Evolutionary Biology Centre, Uppsala University, Sweden. Available: http://www.abc.se/~nylander/. Accessed 2012 Feb 28.
- 30. Rambaut A, Drummond AJ (2007) Tracer version 1.5. Available: http://beast.bio.ed.ac.uk/Tracer. Accessed 2012 Mar 05.
- 31. Stamatakis A (2006) RAxML-VI-HPC: Maximum Likelihood-based Phylogenetic Analyses with Thousands of Taxa and Mixed Models. Bioinform 22: 2688–2690. doi: 10.1093/bioinformatics/btl446
- 32. Stamatakis A, Hoover P, Rougemont J (2008) A Rapid Bootstrap Algorithm for the RAxML Web Servers. Syst Biol 57: 758–771.
- 33. Hughes NF, McDougall AB (1990) Barremian-Aptian angiospermid pollen records from southern England. Rev Palaeobot Palynol 65: 145–151. doi: 10.1016/0034-6667(90)90065-q
- 34. Doyle JA, Hotton CL (1991) Diversification of early angiosperm pollen in a cladistic context. Pollen et Spores 44: 169–195.
- 35. Anderson CL, Bremer K, Friis EM (2005) Dating phylogenetically basal eudicots using rbcL sequences and multiple fossil reference points. Am J Bot 92: 1737–1748. doi: 10.3732/ajb.92.10.1737
- 36. Magallón S, Castillo A (2009) Angiosperm diversification through time. Am J Bot 96: 349–365. doi: 10.3732/ajb.0800060
- 37. Sauquet H, Weston PH, Anderson CL, Barker NP, Cantrill DJ, et al. (2009a) Contrasted patterns of hyperdiversification in Mediterranean hotspots. Proc Natl Acad Sci U S A 106: 221–225. doi: 10.1073/pnas.0805607106
- 38. Sauquet H, Weston PH, Barker NP, Anderson CL, Cantrill AR, et al. (2009b) Using fossils and molecular data to reveal the origins of the Cape proteas (subfamily Proteoideae). Mol Phylogenet Evol 51: 31–43. doi: 10.1016/j.ympev.2008.12.013
- 39. Wang H, Moore MJ, Soltis PS, Bell CD, Brockington SF, et al. (2009) Rosid radiation and the rapid rise of angiosperm-dominated forests. Proc Natl Acad Sci U S A 106: 3853–3858. doi: 10.1073/pnas.0813376106
- 40. Sauquet H, Ho SYW, Gandolfo MA, Jordan GJ, Wilf P, et al. (2012) Testing the impact of calibrations on molecular divergence times using a fossil-rich group: the case of Nothofagus (Fagales). Syst Biol 61: 289–313.
- 41. Pole M (1993) Early Miocene flora of the Manuherikia Group, New Zealand. 5. Smilacaceae, Polygonaceae, Elaeocarpaceae. J R Soc N Z 23: 289–302. doi: 10.1080/03036758.1993.10721227
- 42. Ogg G (2008) International stratigraphic chart. International Commission on Stratigraphy. Available: http://www.stratigraphy.org/upload/ISCart.2008.pdf. Accessed 2010 Dec 03.
- 43. Cooper RA (2004) New Zealand geological timescale 2004/2 wallchart. Institute of Geological & Nuclear Sciences Information Series 64. Available: http://paleodb.geology.wisc.edu/cgi-bin/bridge.pl?action=displayInterval&interval_no=954. Accessed 2010 Dec 03.
- 44. Drummond AJ, Ho SYW, Phillips MJ, Rambaut A (2006) Relaxed phylogenetics and dating with confidence. PLoS Biol 4: E88. doi: 10.1371/journal.pbio.0040088
- 45. Drummond AJ, Rambaut A (2007) BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol 7: 214–221. doi: 10.1186/1471-2148-7-214
- 46. Blackmore S (2007) Pollen and spores: Microscopic keys to understanding the earth's biodiversity. Plant Syst Evol 263: 3–12. doi: 10.1007/s00606-006-0464-3
- 47. Thornhill AH, Popple LW, Carter RJ, Ho SYW, Crisp MD (2012) Are pollen fossils useful for calibrating relaxed molecular clock dating of phylogenies? A comparative study using Myrtaceae. Mol Phylogenet Evol 63: 15–27. doi: 10.1016/j.ympev.2011.12.003
- 48. Ho SYW (2007) Calibrating molecular estimates of substitution rates and divergence times in birds. J Avian Biol 38: 409–414. doi: 10.1111/j.0908-8857.2007.04168.x
- 49. Sanderson MJ (1997) A nonparametric approach to estimating divergence times in the absence of rate constancy. Mol Biol Evol 14: 1218–1231. doi: 10.1093/oxfordjournals.molbev.a025731
- 50. Rambaut A, Charleston M (2001). TreeEdit version 1.0a10. Available: http://tree.bio.ed.ac.uk/software/treeedit/. Accessed 2012 Mar 05.
- 51. Schuster TM, Reveal JL, Kron KA (2011b) Evolutionary Relationships within Polygoneae (Polygonaceae: Polygonoideae). Taxon 60: 1653–1666.
- 52. Burke JM, Sanchez A (2011) Revised subfamily classification for Polygonaceae, with a tribal classification for Eriogonoideae. Brittonia 63: 510–520. doi: 10.1007/s12228-011-9197-x
- 53. Kempton EA (2012) Systematics of Eriogonoideae s.s. (Polygonaceae). Syst Bot 37: 723–737. doi: 10.1600/036364412x648698
- 54. Crisp MD, Linder HP, Weston PH (1995) Cladistic biogeography of plants in Australia and New Guinea: congruent pattern reveals two endemic tropical tracks. Syst Biol 44: 457–473.
- 55. Bowman DMJS, Brown GK, Braby MF, Brown JR, Cook LG, et al. (2010) Biogeography of the Australian monsoon tropics. J Biogeogr 37: 201–216. doi: 10.1111/j.1365-2699.2009.02210.x
- 56. Toon A, Hughes JM, Joseph L (2012) Multilocus analysis of honeyeaters (Aves: Meliphagidae) highlights spatio-temporal heterogeneity in the influence of biogeographic barriers in the Australian monsoonal zone. Molec Ecol 19: 2980–2994. doi: 10.1111/j.1365-294x.2010.04730.x
- 57. Lee JY, Edwards SV (2008) Divergence across Australia's Carpentarian Barrier: statistical phylogeography of the red-backed fairy wren (Malurus melanocephalus). Evol 62: 3117–3134. doi: 10.1111/j.1558-5646.2008.00543.x
- 58. Forest F (2009) Calibrating the Tree of Life: fossils, molecules and evolutionary timescales. Ann Bot 104: 789–794.
- 59. Gandolfo MA, Nixon KC, Crepet WL (2008) Selection of Fossils for Calibration of Molecular Dating Models. Annals of the Missouri Botanical Garden 95: 34–42. doi: 10.3417/2007064
- 60. Magallón S (2004) Dating Lineages: Molecular and Paleontological Approaches to the Temporal Framework of Clades. Int J Plant Sci 165: S7–S21. doi: 10.1086/383336
- 61. Moore MJ, Soltis PS, Bell CD, Burleigh JG, Soltis DE (2010) Phylogenetic analysis of 83 plastid genes further resolve the early diversification of eudicots. Proc Natl Acad Sci U S A 107: 4623–4628. doi: 10.1073/pnas.0907801107
- 62. Wikstörm N, Savolainen V, Chase MW (2001) Evolution of the angiosperms: calibrating the family tree. Royal Soc 268: 2211–2220. doi: 10.1098/rspb.2001.1782
- 63. Hedberg O (1946) Pollen morphology in the genus Polygonum L. s. lat. and its taxonomical significance. Svensk Botanisk Tidskrift 40: 370–404.
- 64. Ronse De Craene LP, Hong SP, Smets EF (2004) What is the taxonomic status of Polygonella? Evidence of floral morphology. Ann Missouri Bot Gard 91: 320–345.
- 65. Hong SP, Oh IC, Ronse De Craene LP (2005) Pollen morphology of the genera Polygonum s. str. and Polygonella (Polygoneae: Polygonaceae). Plant Syst Evol 254: 13–30. doi: 10.1007/s00606-005-0334-4
- 66. Kim ST, Donoghue MJ (2008a) Molecular phylogeny of Persicaria (Persicarieae, Polygonaceae). Syst Bot 33: 77–86. doi: 10.1600/036364408783887302
- 67. Kim ST, Donoghue MJ (2008b) Incongruence between cpDNA and nrITS trees indicates intensive hybridization within Eupersicaria (Polygonaceae). Am J Bot 95: 1122–1135. doi: 10.3732/ajb.0700008
- 68. Kim ST, Sultan SE, Donoghue MJ (2008) Allopolyploid speciation in Persicaria (Polygonaceae): insights from a low-copy nuclear region. Proc Natl Acad Sci U S A 105: 12370–12375. doi: 10.1073/pnas.0805141105
- 69. Macphail MK (1999) Palynostratigraphy of the Murray Basin, inland southeastern Australia. Palynology 23: 197–240. doi: 10.1080/01916122.1999.9989528
- 70. Brandbyge J (1992) The genus Muehlenbeckia (Polygonaceae) in South and Central America. Bot Jahrb Syst Pflanzengesch Pflanzengeogr 114: 349–416.
- 71. McLoughlin S (2001) The breakup history of Gondwana and its impact on pre-Cenozoic floristic provincialism. Aust J Bot 49: 271–300.
- 72. Bailey JP, Stace CA (1992) Chromosome number, morphology, pairing, and DNA values of species and hybrids in the genus Fallopia (Polygonaceae). Plant Syst Evol 180: 29–52. doi: 10.1007/bf00940396
- 73. Barlow BA, Hyland BPM (1988) The origins of the flora of Australia's wet tropics. Proc Ecol Soc Aust 15: 1–17.
- 74. Crayn DM, Rossetto M, Maynard DJ (2006) Molecular phylogeny and dating reveals an Oligo-Miocene radiation of dry-adapted shrubs (former Tremandraceae) from rainforest tree progenitors (Elaeocarpaceae) in Australia. Am J Bot 93: 1328–1342. doi: 10.3732/ajb.93.9.1328
- 75. Crisp MD, Cook L, Steane D (2004) Radiation of the Australian flora: what can comparisons of molecular phylogenies across multiple taxa tell us about the evolution of diversity in present-day communities? Philos Trans R Soc Lond B Biol Sci 359: 1551–1571. doi: 10.1098/rstb.2004.1528
- 76. Cook LG, Crisp MD (2005) Directional asymmetry of long-distance dispersal and colonization could mislead reconstructions of biogeography. J Biogeogr 32: 741–754. doi: 10.1111/j.1365-2699.2005.01261.x
- 77. Exon NF, Hill PJ, Lafoy Y, Heine C, Bernardel G (2006) Kenn Plateau off northeast Australia: a continental fragment in the southwest Pacific jigsaw. Aust J Earth Sci 53: 541–564. doi: 10.1080/08120090600632300
- 78. Antonelli A, Nylander JAA, Persson C, Sanmartín I (2009) Tracing the impact of the Andean uplift on Neotropical plant evolution. Proc Natl Acad Sci U S A 106: 9749–9754. doi: 10.1073/pnas.0811421106
- 79. Hoorn C, Wesselingh FP, ter Steege H, Bermudez MA, Mora A, et al. (2010) Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity. Science 330: 927–931. doi: 10.1126/science.1194585
- 80. Garzione CN, Hoke GD, Libarkin JC, Withers S, MacFadden B, et al. (2008) Rise of the Andes. Science 320: 1304–1307. doi: 10.1126/science.1148615
- 81. Särkinen T, Pennington RT, Lavin M, Simon MF, Hughes CE (2012) Evolutionary islands in the Andes: persistence and isolation explain high endemism in Andean dry tropical forests. J Biogeogr 39: 884–900. doi: 10.1111/j.1365-2699.2011.02644.x
- 82. Cowling R, Procheş Ş, Partridge TC (2009) Explaining the uniqueness of the Cape flora: Incorporating geomorphic evolution as a factor for explaining its diversification. Molec Phylogen Evol 51: 64–76. doi: 10.1016/j.ympev.2008.05.034
- 83. Antonelli A, Sanmartín I (2011) Mass extinction, gradual cooling, or rapid radiation? Reconstructing the spatiotemporal evolution of the ancient angiosperm genus Hedyosma (Chlorantaceae) using empirical and simulated approaches. Syst Biol 60: 596–615.
- 84. Luteyn JL (2001) Diversity, adaptation, and endemism in neotropical Ericaceae: biogeographical patterns in the Vaccinieae. Bot Rev 68: 55–87. doi: 10.1663/0006-8101(2002)068[0055:daaein]2.0.co;2
- 85. Hughes C, Eastwood R (2006) Island radiation on a contienental scale: exceptional rates of plant diversification after uplift of the Andes. Proc Natl Acad Sci U S A 103: 10334–10339. doi: 10.1073/pnas.0601928103
- 86. Elias M, Joron M, Willmott K, Silva-Brandão L, Kaiser V, et al. (2009) Out of the Andes: patterns of diversification in clearwing butterflies. Mol Ecol 18: 1716–1729. doi: 10.1111/j.1365-294x.2009.04149.x
- 87. Bleiweiss R (1998) Origins of hummingbird faunas. Biol J Linn Soc Lond 65: 77–97. doi: 10.1111/j.1095-8312.1998.tb00352.x
- 88. Kemp EM (1978) Tertiary climate evolution and vegetation history in the S. E. Indian Ocean region. Palaeography, Palaeoclimatology, Palaeoecology 24: 169–208. doi: 10.1016/0031-0182(78)90042-1
- 89. Bowler JM (1982) Aridity in the late Tertiary and Quaternary of Australia. In: Barker WR, Greensdale PMJ, editors. Evolution of the flora and fauna of arid Australia. Frewville, South Australia: Peacock Publishers. pp. 35–45.
- 90. Truswell EM, Harris WK (1982) The Cenozoic palaeobotanical record in arid Australia: fossil evidence for an arid adapted flora. In: Barker WR, Greensdale PMJ, editors. Evolution of the flora and fauna of arid Australia. Frewville, South Australia: Peacock Publishers. pp. 67–76.
- 91. Frakes LA (1999) Evolution of Australian Environments. In: Orchard AE, Thompson HS, editors. Flora of Australia–Introduction. vol. 1. Melbourne: ABRS/CSIRO Australia. pp. 163–203.
- 92. Steane DA, Nicolle D, McKinnon GE, Vaillancourt RE, Potts BM (2002) Higher-level relationships among the eucalypts are resolved by ITS-sequence data. Aust Syst Bot 15: 49–62.
- 93. Wojciechowski MF (2003) Reconstructing the phylogeny of legumes (Leguminosae): an early 21st century perspective. In: Klintgaard BB, Bruneau A, editors. Advances in Legume Systematics. part 10 . Kew, U K: Royal Botanic Gardens Press. pp. 5–35.
- 94. Cowling RM, Rundel PW, Lamont BB, Arroyo MK, Arianoutsou M (1996) Plant diversity in Mediterranean-climate regions. Trends Ecol Evol 11: 362–366. doi: 10.1016/0169-5347(96)10044-6
- 95. Bytebier B, Antonielli A, Bellstedt DU, Linder HP (2011) Estimating the age of fire in the Cape flora of South Africa from an orchid phylogeny. Proc Roy Soc Biol 278: 188–195. doi: 10.1098/rspb.2010.1035
- 96. Simon MF, Grether R, de Queiroz LP, Skema C, Pennington T, et al. (2009) Recent assembly of the cerrado, a Neotropical plant diversity hotspot, by in situ evolution of adaptations to fire. Proc Natl Acad Sci U S A 106: 20359–20364. doi: 10.1073/pnas.0903410106
- 97. Gray J (1964) Northwest American Tertiary palynology: the emerging picture. In: Cranwell LM, editor. Ancient Pacific Floras. Honolulu: University of Hawaii Press. pp. 21–30.
- 98. Beucher F (1975) Étude palynologique de formations néogènes et quaternaires au Sahara Nord-Occidental. Centre de Recherches sur les Zones Arides, Sér Géolog, vol. 20. Paris: C N R S doi: 10.2307/4109674
- 99. Krutzsch W (1962) Stratigraphisch beziehungsweise botanisch wichtige neue Sporen- und Pollenformen aus dem deutschen Tertiär. Geologie 11: 265–307.
- 100. Krutzsch W (1970d) Die stratigraphisch verwertbaren Sporen- und Pollenformen des mitteleuropäischen Alttertiärs. Jahrb Geol 3: 103–122.
- 101. von der Brelie G (1977) Die Pollenflora der Seesedimente in der Forschungsbohrung Nördlingen 1973. Geologica Bavarica 75: 111–125.
- 102. Demarcq G, Méon-Vilain H, Miquet R, Kujawski H (1976) Un basin paralique Néogène: celui de Skanes-Monastir (Tunisie orientale). Notes Serv Géol Tunisie 42: 97–147.
- 103. Gruas-Cavagnetto C (1978) Etude palynologique de l′Eocène du Bassin Anglo-Parisien. Mém. Soc. Géol. Fr, Nouv. Sér. 56 (131): 1–64.
- 104. Sah SCD, Dutta K (1968) Palynostratigraphy of the Tertiary sedimentary formations of Assam. 2. Stratigraphic significance of spores and pollen in the Tertiary succession of Assam. The Palaeobotanist 16: 177–195.
- 105. Graham A (1976) Studies in Neotropical paleobotany. II. The Miocene communities of Veracruz, Mexico. Ann Missouri Bot Gard 63: 787–842. doi: 10.2307/2395250
- 106. van Campo E (1976) La flore sporopollénique du gisement Miocène terminal de Venta del Moro (Espagne). Rev Micropaléo 18: 264–268.