Timing and Consequences of Recurrent Polyploidy in
Meadow-Rues (Thalictrum, Ranunculaceae)
Valerie L. Soza,*,1 Kendall L. Haworth,1 and Verónica S. Di Stilio*,1
1
Department of Biology, University of Washington
*Corresponding authors: E-mail: vsoza@u.washington.edu; distilio@u.washington.edu.
Associate editor: Juliette de Meaux
Abstract
Key words: genome size, dioecy, wind pollination, molecular dating.
Introduction
Article
Historically, polyploidy has been considered rarer in animals
than plants (Muller 1925; Orr 1990), but with the advent of
next-generation sequencing techniques and more sophisticated genomic analyses, ancient whole-genome duplications
(WGDs) have been detected in vertebrates (reviewed in
Canestro 2012) and other eukaryotes (reviewed in Jaillon
et al. 2009) as well as plants (reviewed in Soltis et al. 2009;
Jiao et al. 2011; Fawcett et al. 2013). Moreover, multiple recent
episodes of polyploidy have been identified in both vertebrates and invertebrates (reviewed in Mable 2004a; Gregory
and Mable 2005; Otto 2007) as well as fungi (Albertin and
Marullo 2012), suggesting that polyploidy may be important
to the diversification of eukaryotes in general. Unlike animals
and fungi (Stebbins 1950), however, polyploidy has a long
history of recognized relevance to the evolution of plants
(reviewed in Tate et al. 2005; Soltis et al. 2009), and both
allo- and autopolyploidy are contributors to plant speciation
(Soltis et al. 2007). Discovery of ancient WGDs in the
common ancestors of seed plants (" WGD, Jiao et al. 2011),
angiosperms ( WGD, Jiao et al. 2011), and core eudicots
(Vekemans et al. 2012) has renewed interest in polyploidy
and its potential effect on the diversification of major plant
groups.
WGD in angiosperms can result in novel phenotypes
as a result of changes in gene expression, transposable
element reactivation, altered gene dosage, and/or changes
in regulatory/epigenetic interactions (reviewed in Osborn
et al. 2003; Chen and Ni 2006; Finigan et al. 2012; McGrath
and Lynch 2012; Fawcett et al. 2013). The large-scale effects
on gene expression resulting from polyploidy can produce
immediate changes in morphology, breeding system, and
ecological interactions (Otto and Whitton 2000; Chen
2007). Furthermore, the effects from molecular mechanisms
following polyploidization vary among different polyploid
populations, creating plasticity for adaptation to new
environments (Jackson and Chen 2010). Finally, polyploidy
promotes reproductive isolation between diploid progenitors
and resultant polyploids, as well as among polyploid populations, through reciprocal gene loss of duplicate genes
(reviewed in Edger and Pires 2009; McGrath and Lynch
2012; Fawcett et al. 2013). Consequently, polyploidization
can provide angiosperms with novel phenotypes that may
lead to speciation.
Polyploidy is defined as the combination of three or more
genomes in a single nucleus and is therefore expected to
result in an instant increase in genome size (Bennett and
Leitch 2005). In fact, the two main factors contributing to
genome size expansions in plants are polyploidy and the
accumulation of transposable elements (reviewed in
Hawkins et al. 2008). As a result, an enormous amount of
variation in genome size occurs in angiosperms, partly due to
recurrent polyploid events over evolutionary time (reviewed
in Wendel et al. 2002). In recently formed polyploids, genome
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Mol. Biol. Evol. 30(8):1940–1954 doi:10.1093/molbev/mst101 Advance Access publication May 31, 2013
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The discovery of ancient whole-genome duplications in eukaryotic lineages has renewed the interest in polyploidy and its
effects on the diversification of organisms. Polyploidy has large-scale effects on both genotype and phenotype and has
been linked to the evolution of genome size, dioecy, and changes in ecological interactions, such as pollinator visitation.
Here, we take a molecular systematics approach to examine the evolution of polyploidy in the plant genus Thalictrum
(Ranunculaceae) and test its correlation to changes in genome size, sexual system, and pollination mode. Thalictrum is an
ideal study system due to its extensive ploidy range and floral diversity. Phylogenetic analyses were used for character
reconstructions, correlation tests, and dating estimates. Our results suggest that polyploidization occurred frequently
and recently in the evolution of Thalictrum, mostly within the last 10.6–5.8 My, coinciding with the diversification
of particular clades. In spite of an overall trend of genomic downsizing accompanying polyploidy in angiosperms and
proportional increases observed at finer scales, our genome size estimates for Thalictrum show no correlation with
chromosome number. Instead, we observe genomic expansion in diploids and genomic contraction in polyploids with
increased age. Additionally, polyploidy is not correlated with dioecy in Thalictrum; therefore, other factors must have
influenced the evolution of separate sexes in this group. A novel finding from our study is the association of polyploidy
with shifts to wind pollination, in particular, during a time period of global cooling and mountain uplift in the Americas.
Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
(Kaplan and Mulcahy 1971). Moreover, the genus exhibits
an enormous range of ploidy, from 2n = 2x = 14 to
2n = 24x = 168 (Löve 1982; Tamura 1995), with very small
chromosomes known as the T-type in Ranunculaceae
(Langlet 1927). We previously identified the origins of the
different sexual systems and pollination modes within the
genus (Soza et al. 2012) but had yet to investigate the origins
of polyploidy and its correlated evolution with transitions in
sexual system or pollination mode.
The overall goal of this study was to take a molecular
systematics approach to examine the evolution of polyploidy
in the genus Thalictrum and determine whether it is correlated to changes in genome size, sexual system or pollination
mode. Our specific goals were to 1) investigate the frequency
and timing of polyploidization, 2) characterize the relationship between polyploidy and genome size, and 3) determine
whether polyploidy is associated with dioecy or pollination
mode.
Results
A Revised Phylogeny
We increased taxonomic and DNA sampling within
Thalictrum to two to three loci from 69 species (supplementary tables S1 and S2, Supplementary Material online) using
likelihood and Bayesian analyses to obtain a better estimate of
phylogenetic relationships. As before (Soza et al. 2012), we
recovered two strongly supported main clades within the
genus (I and II, bootstrap [bs] = 100%, posterior probability
[pp] = 1.00, fig. 1), with the difference that Thalictrum ichangense and T. macrocarpum are now sister to the rest of clades
I and II, respectively (fig. 1). Within clade II, we identified three
new strongly supported subclades: 1 (bs = 84%, pp = 1.00), 2
(pp = 0.99), and 3 (bs = 97%, pp = 1.00); relationships among
these subclades were unresolved (fig. 1). In clade II, we recovered two dioecious and one andromonoecious, strongly supported subclades (A–C, bs = 100%, pp = 1.00, fig. 1) as
previously shown (Soza et al. 2012). This revised phylogeny
had better resolution and support within both clades I and II
from previous studies (Soza et al. 2012) and was used in
subsequent character reconstructions, correlation tests, and
dating analyses.
Three species were repositioned in the current phylogeny
with respect to our former study (Soza et al. 2012). Previously,
T. macrocarpum was identified as sister to the rest of clade I
(Soza et al. 2012), but our current analyses show this taxon as
sister to the remainder of clade II (fig. 1). The repositioning of
this gynomonoecious species results in extant species with
unisexual flowers occurring only in clade II. Another species,
T. omeiense, was repositioned out of clade I (Soza et al. 2012)
to clade II based on our current data (fig. 1); this placement
has no bearing on the evolution of sexual systems or pollination modes in the genus. Last, we found T. sparsiflorum occurring in clade 3 rather than in clade C as previously reported
(Soza et al. 2012). Insect pollination in this species is therefore
maintained from an ancestrally insect-pollinated species,
rather than a reversal from wind pollination. We believe
these differences are due to sample misidentification in the
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size is expected to increase in direct proportion with ploidy;
however, contrary examples in angiosperms are documented
(reviewed in Bennett and Leitch 2005). For example, overall
genomic downsizing is observed across angiosperms (reviewed in Hawkins et al. 2008), especially after the formation
of polyploids (Leitch and Bennett 2004). This downsizing may
occur due to rampant changes in genomes following allopolyploidization, as evidenced by chromosomal rearrangements
(translocations), concerted evolution of loci, gene silencing,
and epigenetic gene regulation (reviewed in Leitch and
Bennett 1997). In contrast to broad trends across angiosperms, finer scale studies of closely related species illustrate
that genome size evolution in polyploids is variable, either
reflecting proportional increases or downsizing (Ozkan et al.
2003; Pires et al. 2004; Garnatje et al. 2006).
Polyploidy has been correlated to variation in sexual
system in angiosperms. Gender dimorphism (gynodioecy
and dioecy) was shown to follow polyploidization in 12
genera, presumably due to chromosomal rearrangements
that facilitate the evolution of sex chromosomes or the breakdown of gametophytic self-incompatibility (GSI) followed by
inbreeding depression (Miller and Venable 2000, 2002; Spigler
et al. 2010). The breakdown of self-incompatibility as the
result of polyploidy, however, is assumed to occur only in
species with single-locus GSI and not in species with multilocus complementary GSI or sporophytic self-incompatibility
(De Nettancourt 2001). The breakdown of certain self-incompatibility systems following polyploidy should, therefore,
result in an increased association between polyploidy and
self-compatibility (reviewed in Mable 2004b). Yet large-scale
studies across angiosperms have found conflicting evidence
for the association of polyploidy with self-compatibility
(Mable 2004b; Barringer 2007), highlighting lineage-specific
trends.
Ever since Charles Darwin, pollination mode has been recognized as an important contributor to the diversification of
angiosperms (reviewed in Friedman 2009). In fact, pollinator
shifts are known to increase diversification in a variety of
angiosperm groups (van der Niet et al. 2006; Whittall and
Hodges 2007; Johnson 2010). Few studies, however, have
examined whether polyploidy is associated with ecological
interactions, such as shifts in pollinators (reviewed in Soltis
et al. 2010). On the basis of the geographic distribution of
polyploidy and pollination modes, Vamosi et al. (2007)
hypothesized an association between wind pollination and
polyploidy in angiosperms. Cox and Grubb (1991) also suggested that wind pollination could facilitate the colonization
of new habitats by polyploids, as observed in auto- and allopolyploid Atriplex (Stutz and Sanderson 1979). Nevertheless,
no studies to date have examined whether polyploidy may be
linked to shifts between insect and wind pollination.
Thalictrum is an ideal genus to examine the correlated
evolution of polyploidy, sexual system, and pollination
mode because, unlike most genera, it contains variation in
all three features. Specifically, hermaphroditic, dioecious,
andromonoecious, and gynomonoecious species are found
within the group (Boivin 1944; Guzmán 2005); and both
wind and insect pollination are observed within the genus
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Soza et al. . doi:10.1093/molbev/mst101
1942
Thalictrum amurense W
Thalictrum lucidum
1.00
95
1
1.00
99
0.99 58
Thalictrum simplex W
56
Thalictrum foetidum W
Thalictrum flavum
0.94
1.00
84 Thalictrum ramosum
96
Thalictrum squarrosum W
Thalictrum rochebrunnianum
1.00
Thalictrum uchiyamae
100
0.97 Thalictrum pubescens D,W
55
Thalictrum revolutum D,W
63 Thalictrum dasycarpum D,W
1.00
Thalictrum cooleyi D,W
100
Thalictrum coriaceum D,W
55
A
Thalictrum macrostylum D,W
Thalictrum delavayi
Thalictrum grandiflorum
1.00
Thalictrum squamiferum
86
Thalictrum tenue W
1.00
Thalictrum arsenii c1 A,W
1.00 97
Thalictrum arsenii c2 A,W
84
Thalictrum guatemalense c1 A,W
0.98
Thalictrum henricksonii A,W
Thalictrum podocarpum A,W
55
Thalictrum steyermarkii c1 A,W
0.93 Thalictrum hernandezii A,W
Thalictrum strigillosum A,W
71
52
1.00
0.96 Thalictrum steyermarkii c2 A,W
58 Thalictrum grandifolium A,W
100
Thalictrum guatemalense c2 A,W
Thalictrum tripeltiferum A,W
1.00
Thalictrum fendleri D,W
99
Thalictrum heliophilum D,W
Thalictrum dioicum D,W
1.00
Thalictrum pinnatum D,W
1.00
Thalictrum occidentale D,W
100
0.99
1.00
0.95
82 Thalictrum polycarpum D,W
97
Thalictrum venulosum D,W
51
Thalictrum atriplex
1.00
Thalictrum rutifolium
100
Thalictrum decipiens W
Thalictrum lecoyeri
0.92
Thalictrum reticulatum
0.98 55
Thalictrum uncatum W
53 1.00
Thalictrum cultratum W
Thalictrum isopyroides W
83
Thalictrum omeiense
1.00
Thalictrum aquilegiifolium
1.00
Thalictrum petaloideum
97
0.91
67
Thalictrum actaeifolium W
0.94
Thalictrum minus W
Thalictrum baicalense
59
Thalictrum smithii c1 G
1.00
Thalictrum smithii c2 G
100
Thalictrum alpinum W
Thalictrum zernyi
1.00
Thalictrum diffusiflorum
84
55
Thalictrum sparsiflorum
1.00
Thalictrum finetii
97
Thalictrum przewalskii
57
Thalictrum leuconotum W
Thalictrum virgatum
1.00
Thalictrum reniforme
94
Thalictrum rhynchocarpum A,W
Thalictrum macrocarpum G,W
1.00
Thalictrum kiusianum
0.98
Thalictrum punctatum
100
1.00 67
Thalictrum filamentosum
1.00
75
Thalictrum urbainii
1.00
Thalictrum rubescens
100
79
1.00
Thalictrum clavatum
100
Thalictrum thalictroides
Thalictrum ichangense
Leptopyrum fumarioides
Paraquilegia microphylla
1.00
84
1.00
95
B
2
C
II
3
1.00
100
1.00
100
1.00
100
50
1.00
95
Aquilegia formosa
I
0.2 substitutions/site
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FIG. 1. Phylogenetic relationships in the genus Thalictrum and outgroups (Ranunculaceae). Bayesian 50% majority-rule consensus tree based on the combined chloroplast trnV-ndhC and nuclear external and
internal transcribed spacer regions. Ancestral conditions for sexual system and pollination mode in the genus are hermaphroditic and insect, respectively. Andromonoecious (A), dioecious (D), gynomonoecious (G),
and wind-pollinated (W) taxa are indicated on the phylogeny. Two major clades, I and II, indicated within Thalictrum. Three strongly supported clades, 1–3, two dioecious clades, A and C, and one
andromonoecious clade, B, within clade II. Bayesian pps 0.90 displayed above branches. Likelihood bs values 50% displayed below branches; c, clonal sequence.
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Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
former phylogeny. We have re-extracted DNA from original
herbarium specimens, reamplified, and resequenced to verify
our current results.
Chromosome Number and Genome Size Evolution
To study the evolution of polyploidy in Thalictrum, we reconstructed haploid chromosome number using a likelihood
framework in chromEvol (Mayrose et al. 2009). Approximately 1–82 individuals were represented for each species
from published chromosome counts or our own (supplementary table S3, Supplementary Material online). For species
lacking published counts or with conflicting published
counts, we obtained chromosome counts from one to
three cultivated accessions (fig. 2, supplementary tables S3
and S4, Supplementary Material online). On the basis of
two coding schemes of chromosome number (polymorphic
vs. most common, supplementary table S3, Supplementary
Material online), we obtained the same best-fitting model of
chromosome evolution from the eight models tested. Both
analyses indicated the M2 constant-rate model, where chromosomes are gained and lost individually, as the best model
(Akaike Information Criterion [AIC] = 268 or 282.4, respectively). Differences between the analyses were in part due
to missing data for T. minus in the polymorphic coding
scheme, which reduced the number of genome duplication
events inferred in this analysis. More importantly, the polymorphic coding scheme failed to account for genome duplications in terminal lineages that were polymorphic. Therefore,
only the results from the most common coding scheme
are shown (fig. 3).
The ancestral haploid chromosome number at the root of
the tree and for the common ancestor of Thalictrum is 7
(probability [P] = 0. 93 and 1.00, respectively; fig. 3), indicating
diploidy. Twenty-four genome duplication events were inferred with probabilities > 0.5 (fig. 3). No single chromosome
losses or gains (aneuploidy events) were inferred from our
analyses. All 24 genome duplications occurred in clade II; no
duplications were identified in clade I, where all species are
diploids (fig. 3). Of these 24 genome duplications, 14 occurred
within clade 1, five within clade 2, and one within clade 3
(fig. 3). Additionally, we observed that both dioecious
and andromonoecious clades (A–C) are polyploid (fig. 3)
and further tested the significance of this observation. In
summary, our results show that 1) diploidy is the ancestral
condition in Thalictrum, 2) polyploidy occurred multiple
times as a result of doubling or tripling of genomes, 3) aneuploidy did not contribute to the evolution of the genus,
and 4) polyploidy occurred only in clade II, especially in
clades 1 and 2.
To characterize the relationship between polyploidy
and genome size evolution within Thalictrum, we gathered
relative holoploid genome size data from one to five accessions or replicates for 35 species (supplementary table S4,
Supplementary Material online) and denoted this data as
1C values (as defined by Greilhuber et al. 2005). The variation
of holoploid genome size within clades I and II, expressed as
1C value (pg) ± standard error, was indicative of the frequency of genome duplications within each clade: 0.37–0.57
and 0.24–3.57 pg, respectively (fig. 3). Of the strongly
supported clades within clade II, clade 1 showed the most
variation in 1C values, 0.64–3.57 vs. 0.52–1.31 pg in
clade 2 (fig. 3). Holoploid genome size variation in
Thalictrum corresponds with the number of duplications
inferred from our likelihood reconstructions of chromosome
number (fig. 3). Therefore, we proceeded to test the
correlation between 1C value and ploidy in a subset of
20 species, excluding outliers from clade A (fig. 3), and for
which we had estimates of both 1C value and chromosome
number from the same source population or from singlepublished chromosome counts (supplementary table S4, Supplementary Material online). Using a phylogenetic generalized
least squares regression, the haploid chromosome number
and 1C value of sampled Thalictrum species showed no correlation ( = 1.61, 1 = 0.00, 0 = 0.66, r = 0.06, R2 = 0.00;
fig. 4), indicating that holoploid genome size does not proportionally decrease or increase with ploidy.
Correlations between Polyploidy and Sexual System
or Pollination Mode
To determine whether polyploidy was associated with sexual
system or pollination mode in Thalictrum, we conducted
correlation tests in SIMMAP (Bollback 2006). On one hand,
polyploidy was not significantly associated with dioecy
(P = 0.100) or any other sexual system in the genus
(table 1). On the other hand, polyploidy was significantly
associated with wind pollination (P = 0.025, table 1), and
diploidy was significantly associated with insect pollination
(P = 0.025, table 1). In summary, polyploidy is not correlated
with dioecy but appears to correlate with shifts to wind
pollination in Thalictrum.
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FIG. 2. Chromosome spreads from PMCs of Thalictrum species. (A)
Thalictrum punctatum: 2n = 14. (B) T. delavayi: 2n = 28. (C) T. simplex:
2n = 56. (D) T. dasycarpum: 2n = > 100. Scale bar = 10 mm.
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1.00
1.00
7
0.64
0.95
1.00
14
21
1.00
1.00
28
1.00
0.99
A
42
1
70
1.00
1.00
0.97
1.00
84
0.57
105
0.77
Uncertain
0.83
0.87
0.82
B
0.98
1.00
0.99
0.92
1.00
0.66
C
2
1.00
0.99
1.00
0.75
1.00
0.57
1.00
0.89
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
3
1.00
II
1.00
1.00
1.00
1.00
0.51
1.00
1.00
0.98
1.00
I
1.00
0.65
1.00
1.00
1.00
0.93
0.99
T. amurense 14
T. lucidum 14
T. simplex 14, 21, 28, 35
T. foetidum 7, 21
T. flavum 14, 42
T. ramosum
T. squarrosum 21
T. rochebrunnianum 14
T. uchiyamae 7
T. pubescens 42, 63, 77
T. revolutum 70
T. dasycarpum 77, 84
T. cooleyi 105
T. coriaceum 35, 70
T. macrostylum 28
T. delavayi 14, 21
T. grandiflorum
T. squamiferum
T. tenue
T. arsenii
T. henricksonii
T. podocarpum
T. steyermarkii
T. hernandezii 14
T. strigillosum 14
T. grandifolium
T. guatemalense 14
T. tripeltiferum
T. fendleri 14, 21, 28, 35
T. heliophilum
T. dioicum 7, 14, 21
T. pinnatum
T. occidentale 28
T. polycarpum 14
T. venulosum 21
T. atriplex
T. rutifolium
T. decipiens 14
T. lecoyeri
T. reticulatum
T. uncatum
T. cultratum 7, 21
T. isopyroides 21
T. omeiense
T. aquilegiifolium 7, 14
T. petaloideum 7
T. actaeifolium 7
T. minus 21 (7 - 42)
T. baicalense 7
T. alpinum 7, 11
T. smithii
T. zernyi
T. diffusiflorum
T. sparsiflorum 7, 21
T. finetii 21
T . p r z e w a l s k i i 7, 35
T. leuconotum
T. virgatum
T. reniforme 14
T. rhynchocarpum 14
T. macrocarpum 21, 28
T. kiusianum 7
T. punctatum 7
T . f i l a m e n t o s u m 7, 21
T. urbainii
T. rubescens
T. clavatum 7
T. thalictroides 7
T. ichangense 7
Leptopyrum fumarioides 7
Paraquilegia microphylla 7 0
7
Soza et al. . doi:10.1093/molbev/mst101
1
2
3
4
1C-VALUE (pg)
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FIG. 3. Likelihood reconstruction of haploid chromosome number evolution (left) and holoploid genome size (right) for Thalictrum and outgroups (Ranunculaceae). Reconstruction based on the Bayesian 50%
majority-rule consensus tree, resulting from combined chloroplast trnV-ndhC and nuclear ETS and ITS regions. Likelihood reconstruction is based on the most commonly reported haploid chromosome number for
taxa with published or observed chromosome counts. For polymorphic taxa, all reported haploid chromosome numbers are displayed at tips (except for T. minus with 14 different counts, in which case, only range is
reported); the most commonly reported haploid chromosome number is in bold. Ancestral states with probabilities >0.5 are displayed in colored branches with corresponding probabilities above branches. For
ancestral nodes with multiple states reconstructed with probabilities < 0.5 each, reconstructions are displayed as uncertain. Ancestral states at strongly supported nodes (i.e., Bayesian pps 0.95 or likelihood bs
values 70%) indicated in bold. Two major clades in the genus, I and II; three strongly supported clades, 1–3, two dioecious clades, A and C, and one andromonoecious clade, B (within clade II). Outgroups in gray.
Mean 1C value in pg and associated standard error shown for 35 Thalictrum species (right).
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1.00
1N CHROMOSOME NUMBER
alpha = 1.61
r = -0.06
0.4 0.6 0.8 1.0 1.2
1C-value (pg)
Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
10
15
20
25
Haploid chromosome number
FIG. 4. Phylogenetic generalized least squares regression of holoploid
genome size (1C value) and haploid chromosome number for 20 species
of Thalictrum (Ranunculaceae) and associated alpha and correlation
coefficient between these two features.
Trait/State
Sexual systems
Hermaphroditism
Dioecy
Monoecy
Pollination modes
Insect
Wind
Ploidy
Diploid
Polyploid
+ 0.045 (0.068)
0.021 (0.100)
0.024 (0.108)
0.045 (0.068)
+ 0.021 (0.100)
+ 0.024 (0.108)
+ 0.041 (0.025)*
0.041 (0.025)*
0.041 (0.025)*
+ 0.041 (0.025)*
NOTE.—Positive association ( + ); negative association ( ).
*Statistically significant at P < 0.05.
Timing of Polyploidization Events and Major
Divergences in Thalictrum
To estimate ages for major clades within Thalictrum and
for reconstructed polyploidization events, we conducted
Bayesian analyses in BEAST (Drummond and Rambaut
2007; Drummond et al. 2012) to obtain 95% highest posterior
densities (HPDs) for nodes. We used our combined data
set for chloroplast and nuclear ribosomal DNA and three
previous age estimates for Thalictrum and outgroups
(Anderson et al. 2005; Bastida et al. 2010) in BEAST analyses.
The genus itself diverged 27.6–19.5 Ma with a crown age of
22.8–14.0 Ma (fig. 5, supplementary table S5, Supplementary
Material online). Clades I and II diverged from each other
22.8–14.0 Ma, with crown ages for clades I and II of
11.7–4.4 Ma and 17.9–10.1 Ma, respectively (fig. 5, supplementary table S5, Supplementary Material online). These age
estimates place the divergence of Thalictrum from its sister
lineage Leptopyrum + Paraquilegia in the Cenozoic, during
the late Oligocene, with its initial diversification in the
Miocene.
Polyploidization does not appear to have had an impact
on the split between clades I and II, yet it occurred frequently
and recently within clade II. The oldest genome duplication in
clade II occurred between 16.7–9.5 and 11.9–3.9 Ma (fig. 5,
supplementary table S5, Supplementary Material online).
However, the majority of genome duplications that resulted
in more than one extant species occurred more recently, in
clades 1 and 2, between 10.8–5.6 and 1.1–0.0 Ma (fig. 5,
supplementary table S5, Supplementary Material online).
Interestingly, two genome duplications in clade 2 coincide
with the origin of andromonoecious and dioecious clades
(B–C), between 10.8–5.6 and 5.2–1.9 Ma (fig. 5, supplementary table S5, Supplementary Material online). Multiple
genome duplications within clade 1 occurred within the
last 7.7–3.3 to 4.3–0.6 My (fig. 5, supplementary table S5,
Supplementary Material online). Only one of these events is
tied to the origin of dioecy (Clade A), between 2.5–0.6 and
6.2–2.5 Ma (fig. 5, supplementary table S5, Supplementary
Material online). In summary, the timing of the majority of
polyploidization events within Thalictrum is recent and
appears to coincide with the diversification of clades 1 and
2, with clade 1 containing most of the genome duplications.
Discussion
Our reconstructions of species relationships, ploidy, and
age estimates in Thalictrum highlight that polyploidization
occurred frequently, at least 24 times, and relatively recently,
mostly between 10.8–5.6 and 1.1–0.0 Ma. Most of the
genome duplications occurred within two clades (clades
1–2), coincident with the highest diversity in both sexual
system and pollination mode. Despite these recent polyploidization events, 1C value and chromosome number are evolving independently in the genus, as no correlation was found
between holoploid genome size and ploidy.
We found no evidence for polyploidy linked to the
evolution of dioecy in Thalictrum. Given that such a link
has been connected to the evolution of sex chromosomes
or disruption of genetic self-incompatibility in other systems
(Miller and Venable 2000, 2002; Spigler et al. 2010), this highlights that the evolution of dioecy in Thalictrum likely
involved other pathways. Interestingly, we found a strong
and novel association between polyploidy and wind pollination and proceed to discuss possible causes.
Relationships and Ages
Our new estimates for stem and crown ages of Thalictrum, in
the late Oligocene and Miocene, respectively, are consistent
with dating of the oldest fossils for the genus from Europe
(Szafer 1961; Dorofeev 1963; Mai 1995). Our estimate for the
crown age of Thalictrum, 22.8–14.0 Ma (fig. 5, supplementary
table S5, Supplementary Material online), is older than a
previous estimate of 14.5–2.3 Ma (Bastida et al. 2010), which
was based on a reduced sampling of three species. Other divergence dates reported here are consistent with previous
estimates and fossils for Thalictrum and outgroups. For example, our estimate for the divergence between Aquilegia and
Thalictrum was 28.7–24.5 Ma (fig. 5, supplementary table S5,
Supplementary Material online), compared with previous
estimates of 24.9 Ma (Anderson et al. 2005) and 28.6–26.6
Ma (Bastida et al. 2010). Additionally, the divergence
between Thalictrum and Leptopyrum + Paraquilegia
was 27.6–19.5 Ma (fig. 5, supplementary table S5,
1945
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Table 1. Character Correlation d-Statistic (P value) among Sexual
Systems, Pollination Modes, and Ploidy in Thalictrum
(Ranunculaceae), Calculated in SIMMAP (Bollback 2006).
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3.0
1.3
W
4.1
W P D
P
P
1
P
2.1
W P A
3.4
W P D
3.6
2
0.4
1.4 0.5
5.2
8.0
P
6.9
T. amurense
T. lucidum
T. simplex
T. foetidum
T. flavum
T. ramosum
T. squarrosum
T. rochebrunnianum
T. uchiyamae
T. pubescens
T. revolutum
T. dasycarpum
T. cooleyi
T. coriaceum
T. macrostylum
T. delavayi
T. grandiflorum
T. squamiferum
T. tenue
T. arsenii c1
T. arsenii c2
T. guatemalense c1
T. henricksonii
T. podocarpum
T. steyermarkii c1
T. hernandezii
T. strigillosum
T. steyermarkii c2
T. grandifolium
T. guatemalense c2
T. tripeltiferum
T. fendleri
T. heliophilum
T. dioicum
T. pinnatum
T. occidentale
T. polycarpum
T. venulosum
T. atriplex
T. rutifolium
T. decipiens
T. lecoyeri
T. reticulatum
T. uncatum
T. cultratum
T. isopyroides
T. omeiense
T. aquilegiifolium
T. petaloideum
T. actaeifolium
T. minus
T. baicalense
T. smithii c1
T. smithii c2
T. alpinum
T. zernyi
T. diffusiflorum
T. sparsiflorum
T. finetii
T. przewalskii
T. leuconotum
T. virgatum
T. reniforme
T. rhynchocarpum
T. macrocarpum
T. kiusianum
T. punctatum
T. filamentosum
T. urbainii
T. rubescens
T. clavatum
T. thalictroides
T. ichangense
Leptopyrum fum
f
arioides
Paraquilegia microphylla
Aquilegia formosa
Soza et al. . doi:10.1093/molbev/mst101
1946
1.0
1.5 P
II
W
3
12.9
13.8
P
7.6
18.4
23.9*
7.5
26.6*
16.6*
Oligocene
30.0
Miocene
25.0
20.0
15.0
Pliocene
10.0
5.0
I
Pleistocene
0.0
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FIG. 5. Chronogram of Thalictrum and outgroups (Ranunculaceae), using the Bayesian 50% majority-rule consensus tree based on the combined chloroplast trnV-ndhC and nuclear ETS and ITS regions. Estimated
mean ages and corresponding 95% HPD intervals (blue/gray) are indicated for both stem and crown group nodes for the genus Thalictrum and its two major clades, I and II; for chromosome number duplication
events (P = polyploidization) inferred from ML reconstructions that affected more than one taxon; and for origins of andromonoecious (A), dioecious (D), and wind-pollinated (W) clades. Ancestral conditions for
ploidy, sexual system, and pollination mode in the genus are diploid, hermaphroditic, and insect, respectively. Estimated ages at strongly supported nodes (i.e., Bayesian pps 0.95 or likelihood bs values 70%) are
indicated in bold. Three calibration nodes are indicated with asterisks. Three strongly supported clades, 1–3, within clade II. Outgroups are in gray. Geologic epochs (Walker et al. 2012).
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Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
Supplementary Material online), compared with a previous
estimate of 28.6–13.0 Ma (Bastida et al. 2010).
Polyploidy in Thalictrum
Genome Size Evolution
Although trends of genomic downsizing or increasing accompanying polyploidy have been observed in angiosperms
(Ozkan et al. 2003; Leitch and Bennett 2004; Pires et al.
2004; Garnatje et al. 2006), our limited dataset of 1C value
estimates for Thalictrum show no correlation with haploid
chromosome number (fig. 4). Broader sampling across higher
ploidy levels (i.e., > 4x, see outliers in clade A, fig. 3) may show
a positive correlation between genome size and ploidy. This
uncorrelated evolution could be due to chromosome fission
and/or fusion. Although undetected by chromEvol, we do see
the potential for chromosomal fission and/or fusion to contribute to genome size variation in Thalictrum as reported in
other studies (Chung et al. 2011, 2012; Lipnerová et al. 2013).
For example, chromosome fission could explain the difference
in chromosome number but similarity in holoploid genome
size observed in T. rochebrunnianum and T. uchiyamae (fig. 4).
Additionally, chromosome fusion could explain the similarity
in chromosome number but difference in holoploid genome
size observed in diploids in clade I versus those in clade II (fig.
3).
We also observed variation within a given ploidy level, as
inferred by chromosome number, that could be related to
lineage age. On one hand, within diploids, we see a general
increase in 1C value with age. For example, T. kiusianum and
T. punctatum diverged from each other 1.1–0.0 Ma and display holoploid genome sizes of 0.4 pg (figs. 3 and 5, supplementary table S4, Supplementary Material online). In
contrast, an older diploid, T. ichangense, diverged 11.7–4.4
Ma and displays a larger 1C value of 0.57 pg (figs. 3 and 5,
supplementary table S4, Supplementary Material online).
These results suggest that mechanisms of genome expansion
besides polyploidy are contributing to genome size evolution
in Thalictrum. On the other hand, we observed differences in
1C value between recent and older polyploids, indicating a
general decrease in 1C value with age within a certain polyploid level. For example, the tetraploid T. rhynchocarpum
arose from a genome duplication event as early as 11.9–3.9
Ma and displays a 1C value of 0.25 pg (figs. 3 and 5, supplementary table S4, Supplementary Material online). In contrast, a recent tetraploid, T. lucidum, arose from a genome
duplication as early as 1.9–0.3 Ma and displays a larger 1C
value of 0.64 pg (figs. 3 and 5, supplementary table S4,
Supplementary Material online). These results highlight that
genomes of older polyploids may become contracted over
longer periods, in comparison to recent polyploids, who have
not had as much time to undergo mechanisms of DNA loss
(reviewed in Bennett and Leitch 2005).
In spite of rampant polyploidy, our study indicates that the
genus Thalictrum has relatively small 1C values (0.25–3.7 pg,
fig. 3), compared with angiosperm-wide estimates (0.06–
152.23 pg; Greilhuber et al. 2006; Pellicer et al. 2010). This
could be due to their small T-type chromosomes (Langlet
1927) that would better tolerate recurrent polyploidy. An
angiosperm-wide study observed a negative correlation between genome size (4C value) and percentage of polyploids
due to an intolerance for large amounts of DNA (Grif 2000).
Therefore, polyploidy would be expected to occur more readily in groups with small genomes and may have become
rampant in Thalictrum because of its relatively small holoploid genome size, especially as observed in older, diploid
species (i.e., T. ichangense, 0.57 pg, figs. 3 and 5).
No Association between Dioecy and Polyploidy
Unlike previously suggested (Miller and Venable 2000), we
found no significant association between polyploidy and
dioecy in Thalictrum (table 1). In spite of limited information
on mating systems within Thalictrum (except Westergaard
1958), at least two taxa with diploid populations have been
identified as self-compatible (T. alpinum and T. sparsiflorum;
Steven and Waller 2004). Plants do appear to set seed readily
in cultivation and do not exhibit self-incompatibility, but this
remains to be formally tested in the majority of species.
Additionally, we have not observed evidence for heteromorphic sex chromosomes during cytological investigations, yet
there is evidence for homomorphic sex chromosomes in a
few species, based on sex ratios in inter- or intraspecific
crosses (Kuhn 1930, 1939; Westergaard 1958; Di Stilio et al.
2005). In conclusion, polyploidy does not appear to be correlated with the evolution of dioecy in Thalictrum; therefore,
factors other than GSI and polyploidy must have influenced
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Our reconstructions of polyploidy suggest that WGDs may
have contributed to floral diversity in certain Thalictrum lineages (clades 1–2, fig. 3), as these contain variation in both
sexual system and pollination mode: hermaphroditism,
andromonoecy and/or dioecy, and insect and wind pollination. Population-level studies in species with multiple cytotypes (i.e., T. coriaceum, T. pubescens, and T. simplex) are
needed to further investigate whether recent polyploidization
events are contributing to incipient speciation in this genus.
Despite the fact that polyploidy has arisen recently and
frequently in Thalictrum, we found no obvious evidence of
reticulation resulting from allopolyploid hybridization among
species. Although most polyploids in the genus had previously been assumed to be of allopolyploid origin (Kuzmanov
and Dutschewska 1982), the only hint of reticulation we
found was in T. guatemalense and T. steyermarkii, which
had divergent clonal sequences (fig. 1). This evidence of reticulation, however, could result from a number of processes
in addition to hybridization, such as gene duplication or incomplete lineage sorting. Our inability to detect potential
allopolyploids may be due to a prevalence of autopolyploid
events or, more likely, to the nature of the DNA regions used
in our analyses. Given that chloroplast regions are maternally
inherited and nuclear ribosomal regions are known to undergo concerted evolution (Baldwin et al. 1995), they alone
are ill suited to detect hybridization events. Future studies
using single-copy nuclear regions may provide a better understanding of the origin of polyploid species in this genus.
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Soza et al. . doi:10.1093/molbev/mst101
the evolution of dioecy, as observed in other genera (Pannell
et al. 2008; Volz and Renner 2008).
Association between Wind Pollination and Polyploidy
Material and Methods
Sampling
For phylogenetic reconstruction of the genus, we sampled
69 of the 196 species from 13 of the 14 Thalictrum sections
(Tamura 1995), to represent the breadth of taxonomic
classification and geographic distribution (supplementary
table S1, Supplementary Material online). We also sampled
three outgroups: Aquilegia formosa, Leptopyrum fumaroides,
1948
Molecular Methods
For amplification and sequencing of samples, we extracted
genomic DNA from herbarium specimens, field collections,
and cultivated accessions using the DNeasy Plant Kit (Qiagen,
Valencia, CA), FastDNA Kit (MP Biomedicals, Solon, OH), or
following the protocol of Hughey et al. (2001). Voucher specimens are listed in supplementary table S1, Supplementary
Material online.
We selected three DNA regions, two nuclear and one
chloroplast, for phylogenetic analyses of samples. We used
the nuclear ribosomal internal transcribed spacer region
(ITS: ITS1, ITS2, and 5.8S) from taxa previously amplified in
the genus and outgroups (Soza et al. 2012), plus several
additional taxa (supplementary table S1, Supplementary
Material online). We also used the nuclear ribosomal external
transcribed spacer (ETS) region and a more variable chloroplast (cpDNA) region than previously utilized (Soza et al.
2012). To identify the cpDNA region, we conducted preliminary phylogenetic analyses with the five most variable
cpDNA regions from Shaw et al. (2007) from a subset of
Thalictrum taxa: rpl32-trnL, trnQ-5’rps16, 3’trnV-ndhC,
ndhF-rpl32, and trnS-trnG-trnG. We found the 3’trnV-ndhC
(trnV-ndhC) intergenic region as the most suitable cpDNA
region to use in subsequent analyses of Thalictrum, as it provided the most resolution and support among taxa.
For amplification and sequencing of DNA regions, we used
published primers (Nickrent et al. 1994; Baldwin and Markos
1998; Goodwillie and Stiller 2001; Wright et al. 2001; Shaw
et al. 2007; Soza et al. 2012) and the T. thalictroides transcriptome (Johnson et al. 2012) to design Thalictrum-specific
primers for subsequent amplification and sequencing (supplementary table S6, Supplementary Material online).
Polymerase chain reaction conditions for ITS and trnV-ndhC
followed the protocol of Shaw et al. (2007). Polymerase chain
reaction conditions for ETS were 94 C for 2 min, followed by
35 cycles of 94 C for 30 s, 55 C for 30 s, and 72 C for 1 min,
with a final extension step at 72 C for 10 min. Amplified
DNA was purified using ExoSAP-IT (USB Corporation,
Cleveland, OH) and directly sequenced by GENEWIZ
(Seattle, WA).
We cloned ITS and ETS sequences that could not be directly sequenced, due to allelic differences in insertions and
deletions, using the TA Cloning Kit (Invitrogen Corporation,
Carlsbad, CA). Three to 24 positive clones per accession,
depending on known ploidy or genome size, were screened
by colony polymerase chain reaction, purified as outlined
earlier, and sequenced by GENEWIZ using the T7 primer
(Invitrogen Corporation, Carlsbad, CA).
Phylogenetic Analyses
Sequences were edited in Sequencher version 4.9 (Gene
Codes Corporation, Ann Arbor, MI) and aligned manually
for each DNA region using MacClade version 4.08
(Maddison DR and Maddison WP 2005). Alignments are
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We found a strong statistical association between polyploidy
and wind pollination in Thalictrum (table 1). This association
is intriguing and given the diverse suite of floral traits that
contribute to a pollination mode, which specific traits are affected by polyploidy remains to be tested. In Ranunculaceae,
a primarily insect-pollinated family, polyploids have been
correlated with smaller flowers and multiflowered inflorescences (Vamosi et al. 2007). Given that these features are
often characteristic of wind-pollinated flowers, this data
offer tantalizing evidence in light of results presented here,
that polyploidy may have facilitated the evolution of wind
pollination in members of this family.
Wind-pollinated Thalictrum clades evolved in concert with
polyploidy in the Americas between 10.8–5.6 and 2.5–0.6 Ma.
This time period included significant mountain uplift in
North and Meso-America and global cooling that culminated
in the ice ages (Graham 1999, 2011). The creation of higher
elevation habitat and colder, drier environments may have
contributed to the diversification of polyploid Thalictrum
species, as polyploids have been associated with colonization
of recently deglaciated areas (Brochmann et al. 2004; Li et al.
2010) due to their fixed heterozygosity (Brochmann et al.
2004) and with increasing aridity due to higher drought tolerance (Manzaneda et al. 2012). Additionally, insect pollinators are limited at higher elevations or during glaciation
periods, thus giving wind pollination a selective advantage
in open habitats (reviewed in Gomez and Zamora 1996;
Totland and Sottocornola 2001; Duan et al. 2009).
Another potential explanation for the link between polyploidy and wind pollination is a prior association between
alkaloid biosynthesis and ploidy in Thalictrum (Kuzmanov
and Dutschewska 1982; Kuzmanov 1986), whereby polyploids
produce more types of isoquinoline alkaloids than diploids.
Differential biosynthesis of such compounds could have
impacted pollination as these isoquinoline alkaloids are
toxic to insects (Miller and Feeny 1983; Philogene et al.
1984), offering a selective advantage to morphologies predisposed to wind pollination.
Many genetic and epigenetic changes follow WGDs,
and the effect on chemical biosynthesis is just one potential
outcome. Having identified relatively recent polyploids
in Thalictrum, future research in the group will address the
underlying causes of polyploidization and the potential effects
of WGDs on transitions from insect to wind pollination.
and Paraquilegia microphylla, identified from previous
molecular phylogenies of the family (Wang and Chen 2007;
Wang et al. 2009).
Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
To assess the reliability of clades in the resulting likelihood
trees for each data set, we conducted 1,000 nonparametric bs
replicates (Felsenstein 1985) in GARLI. bs replicates were
conducted under the above settings but included one
search replicate and 10,000 generations as the first part of
the termination condition. bs trees were summarized using
NCLconverter version 2.1 (Lewis and Holder 2010) and
CONSENSE version 3.66 (Felsenstein 2006) via the CIPRES
Science Gateway.
Cytology
Chromosome counts were obtained from one to three
cultivated accessions for species lacking published counts or
for those with variable published counts. Chromosomes were
observed from root tips (T. decipiens, T. hernandezii, and
T. strigillosum) or pollen mother cells (PMCs; T. clavatum,
T. dasycarpum, T. delavayi, T. filamentosum, T. foetidum,
T. guatemalense, T. punctatum, and T. simplex; fig. 2, supplementary tables S3 and S4, Supplementary Material online).
Initially, chromosomes were observed using root tips from
several Meso-American species, for which we had wildcollected seed. Subsequently, chromosomes were observed
from PMCs from freshly collected floral buds from cultivated
accessions at the UW Greenhouse, using a modified protocol
of Kato (1999) that has worked well in condensing and
spreading chromosomes in a variety of plants.
Root tips were treated with 0.05% colchicine for 4 h at
room temperature, fixed in 3:1 ethanol:acetic acid overnight,
hydrolyzed with hydrochloric acid for 15 min, stained with
Feulgen for 3 h, and rinsed in sulfurous acid before mounting
(Haskins E, personal communication).
Floral buds were treated according to the protocol of
Matsushita et al. (2012) and Wright et al. (2009), modified
with a N2O treatment for 3 h at 160 PSI and enzyme digestion
for 3.5 h. PMCs were mounted in VECTASHIELD Mounting
Medium with DAPI (Vector Laboratories, Burlingame, CA),
observed and photographed using a Nikon Microphot-FX
microscope (Nikon Instruments, Inc., Melville, NY) and a
Retiga 1300 monochrome camera (QImaging, Surrey, BC,
Canada).
Genome Size Estimation
One to five accessions or replicates for 35 species cultivated
at the UW Greenhouse were analyzed to obtain relative
holoploid genome size, expressed as 1C value (as defined
by Greilhuber et al. 2005; supplementary table S4,
Supplementary Material online). Nuclei were extracted from
fresh leaf tissue and combined with chicken erythrocyte
nuclei (CEN singlets, BioSure, Grass Valley, CA) before staining
with propidium iodide and analyzed with a flow cytometer, as
outlined in Davison et al. (2007). CEN, with a 1C value of
1.25 pg (Gregory 2013), were used as an internal calibration
standard. Animal standards have been discouraged by some
authors for plant studies because 1) they cannot account for
the huge range of plant genome sizes, 2) their nuclei structure
may be different from plant nuclei, and 3) their precise
genome size is unknown (Dolezel and Greilhuber 2010).
1949
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available through TreeBASE (http://purl.org/phylo/treebase/
phylows/study/TB2:S13801). Molecular features for each
DNA region are summarized in supplementary table S2,
Supplementary Material online.
We reconstructed phylogenies for each molecular data
set separately (supplementary figs. S1–S3, Supplementary
Material online) and for all regions combined using
Bayesian and likelihood analyses. For taxa with various
clonal ITS sequences, we constructed a consensus sequence
inclusively from each monophyletic group of sequences
representing a given taxon or from a monophyletic group
of taxa with unresolved relationships that included clones
of a given taxon. All other clonal sequences, not forming
groups with other clones from the same accession, were
included in analyses. For accessions with more than one
included ETS or ITS sequence, the corresponding ITS or ETS
and cpDNA sequences were duplicated for use in the
combined data set.
For Bayesian and likelihood analyses, models of evolution
for each data set were determined separately by jModelTest
version 2.1 (Guindon and Gascuel 2003; Posada 2008).
The models selected under the AIC (Akaike 1974) for ETS,
ITS, and trnV-ndhC were GTR + , GTR + I + , and
TPM1uf + I + , respectively.
Bayesian analyses were conducted separately in MrBayes
version 3.1.2 (Huelsenbeck and Ronquist 2001; Ronquist and
Huelsenbeck 2003) via the CIPRES Science Gateway version
3.1 (Miller et al. 2010) for each data set and the combined
data set, with data partitioned under the selected models
for each DNA region. We used default priors of no prior
knowledge for the parameters of these models. Parameters
for nucleotide frequencies, substitution rates, and gamma
shape were unlinked across data partitions. All partitions
were allowed to evolve under different rates, and site-specific
rates were allowed to vary under a flat Dirichlet prior across
partitions.
Bayesian analyses were conducted with three independent
Markov chain Monte Carlo (MCMC; Yang and Rannala 1997)
analyses of 10 million generations for individual DNA regions
and 20 million generations for the combined data set.
Metropolis coupling for each analysis was conducted under
the default settings. Convergence was determined when the
average standard deviation of split frequencies remained less
than 0.01. For the trnV-ndhC, ETS, ITS, and combined data set,
the first 37%, 60%, 83%, and 28% of trees, respectively, were
discarded before convergence. For each analysis, the remaining trees from each run were pooled to construct a 50%
majority rule consensus tree or a consensus tree with all compatible groups to obtain pps.
Likelihood analyses (maximum likelihood [ML]) were
conducted separately in GARLI version 2.0 (Zwickl 2006) via
the CIPRES Science Gateway for each data set and the combined data set, with data partitioned under the selected
models for each DNA region. All analyses were run under
the default settings but included 5 or 10 search replicates,
model parameters unlinked across subsets, and different
subset rates allowed.
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Character Reconstructions
To identify the number of independent origins of polyploidization within Thalictrum, ancestral character states of ploidy
were reconstructed using likelihood in chromEvol version 1.3
(Mayrose et al. 2009). This program is advantageous because
it allows both polytomies and polymorphic character states.
However, the polymorphic assignment of states has not been
rigorously tested in the program (Mayrose I, personal communication). Ancestral states were reconstructed under the
default settings, using the combined 50% majority-rule
Bayesian consensus tree with clonal sequences pruned to
one per taxon, with all branch lengths multiplied by one.
We also reconstructed ancestral states using the Bayesian
consensus tree but with nodes collapsed that had no support
in either the ML or Bayesian phylogenetic analyses (supplementary fig. S4, Supplementary Material online) to confirm
our results.
The character states for ploidy were coded as haploid
chromosome number (as required by the program) and
were obtained from the literature and/or our cytological
data (supplementary table S3, Supplementary Material
online). The haploid chromosome number of aneuploid or
triploid populations was rounded up to the next whole integer. We attempted two coding assignments for chromosome
number: 1) using all published counts for a taxon (polymorphic) or 2) using the most commonly reported count for a
taxon (most common). For polymorphic coding, we used the
percentage of reports in the literature and/or from personal
observations to obtain the probability for each state. Only
precise reports were used in obtaining probabilities. One
exception was T. minus, which has widely varying counts in
the literature (~14 different counts); chromEvol was unable
to accommodate this computationally. Therefore, we coded
this taxon as missing for the polymorphic analysis. For most
common coding, we took the state with the highest probability for each species from the polymorphic coding and
assigned this state to each species. Several exceptions were
T. coriaceum, T. dasycarpum, and T. pubescens, for which, two
equally likely counts are published. Taxa with unknown states
were coded as missing.
1950
Character Correlation Tests
To evaluate whether a correlation exists between genome
size and ploidy within Thalictrum, we used our estimates
of holoploid genome size and chromosome number for
20 species grown at the UW Greenhouse, for which we had
both estimates from the same source population or from
published chromosome counts that did not vary (supplementary table S4, Supplementary Material online). We performed phylogenetic generalized least squares regression on
this reduced data set of 20 species, excluding three species
considered outliers (T. dasycarpum, T. pubescens, and T. revolutum; clade A, fig. 3), in COMPARE version 4.6b (Martins
2004). We used the fully resolved all-compatible Bayesian
consensus tree (as polytomies are not allowed in
COMPARE) and pruned taxa in Mesquite version 2.75
(Maddison WP and Maddison DR 2011), for which we did
not have both genome size and ploidy estimates. We incorporated our estimates of standard error for genome size data
and used estimates of zero for chromosome number and
genome size samples of one. The correlation coefficient (r),
regression slope ( 1), and intercept ( 0) were determined by
the ML estimate of .
To evaluate whether a correlation exists between dioecy
or pollination mode and polyploidy in Thalictrum, correlation analyses were conducted in SIMMAP version 1.5
(Bollback 2006). SIMMAP is a Bayesian approach for testing
correlated evolution, allows for multiple-state characters,
incorporates phylogenetic uncertainty over a set of trees,
and determines the amount of time along a branch each
state occurred.
For analyses in SIMMAP, morphological models for each
character were configured using the combined Bayesian 50%
majority-rule consensus tree and rescaling the tree length to
one, using an approach by Schultz and Churchill (1999). For
the bias parameter, we used beta distribution priors with 31
categories and empirical priors for two-state and three-state
characters, respectively. For all characters, we used gamma
distribution priors for the overall evolutionary rate parameter
with 90 categories. To determine values of for the beta
distribution prior, and and for the gamma distribution
prior, we obtained values for each character by running an
MCMC analysis under the default settings. Samples from the
posterior distribution of these parameters were used to
obtain best-fitting distributions and parameter values of
and
using the R version 2.15.1 (R Development Core
Team 2011) script available with SIMMAP. All character
states were unordered.
To account for phylogenetic uncertainty and computational time, character correlations were conducted in
SIMMAP with 100 postburnin trees from each MrBayes
run, for a total of 300 trees. We used the character states
and priors determined above, with five samples for each tree
and from the prior distribution for each character, and five
posterior predictive samples simulated to determine P values
for the correlation D statistic (Huelsenbeck et al. 2003).
The character states used for pollination mode and sexual system were insect or wind, and dioecy, hermaphroditism,
Downloaded from http://mbe.oxfordjournals.org/ at University of Washington on July 3, 2014
However, for our purposes, the genome size of CEN falls
within the range of Thalictrum genome size estimates.
Additionally, our goal was to produce relative holoploid
genome size estimates, because absolute estimates are not
feasible due to the lack of complete genome coverage in most
model taxa due to repetitive regions in the genome (Davison
et al. 2007; Dolezel and Greilhuber 2010).
Samples were analyzed on a FACScan flow cytometer
(Becton, Dickinson and Company, Franklin Lakes, NJ) with
FlowJo software (Tree Star, Ashland, OR) at the UW
Department of Immunology Cell Analysis Facility. The 2C
median nuclear peak of propidium iodide fluorescence in
Thalictrum samples was compared with that of the CEN
standard to estimate the 2C nuclear DNA content of
Thalictrum using the CEN 2C DNA content (2.5 pg) and equation in Dolezel and Bartos (2005).
Timing and Consequences of Recurrent Polyploidy . doi:10.1093/molbev/mst101
or monoecy, respectively, as outlined in Soza et al. (2012;
supplementary tables S7 and S8, Supplementary Material
online). The character states for ploidy were diploid or polyploid. For polymorphic taxa, the maximum ploidy reported
was used (supplementary table S7, Supplementary Material
online).
Molecular Dating
Supplementary Material
Supplementary figures S1–S4 and tables S1–S8 are available
at Molecular Biology and Evolution online (http://www.mbe.
oxfordjournals.org/).
Acknowledgments
The authors thank Johanne Brunet, Hongzhi Kong, Rebecca
Penny, Rick Ree, Rui Zhang, and University of California
Botanical Garden at Berkeley for tissue samples; Aaron
Liston, David Guzman Otano, and the US National Plant
Germplasm System, North Central Regional Plant
Introduction Station for seed; Starr Matsushita and Delene
Oldenberg for assistance with cytology; Rebecca de Frates,
Sarah Choe, Patricia Salles Smith, Xuening Chen, YangBo,
and My Linh for assistance with genome size data collection;
Cajsa Lisa Anderson and Jesús Bastida for divergence estimates; Michael Karcher, Itay Mayrose, and Cheng Zheng for
assistance with data analysis; 1KP project (T. thalictroides
material provided by V.S. Di Stilio) for sequencing the
T. thalictroides floral transcriptome, and Jim Leebens-Mack
for providing the data in searchable format; three anonymous
reviewers for valuable comments; and the following herbaria:
CS, GH, MO, OSC, ORE, RSA, and TEX. This work used the
Extreme Science and Engineering Discovery Environment
(XSEDE), which is supported by the National Science
Foundation grant number OCI-1053575. This work was supported by National Science Foundation grant IOS-1121669 to
V.S.D. and a Research Experience for Undergraduates supplement to K.L.H.
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