Polyploidy Did Not Predate the Evolution of Nodulation
in All Legumes
Steven B. Cannon1*, Dan Ilut2, Andrew D. Farmer3, Sonja L. Maki4, Gregory D. May3, Susan R. Singer4,
Jeff J. Doyle2
1United States Department of Agriculture-Agricultural Research Service, Corn Insects and Crop Genomics Research Unit, Iowa State University, Ames, Iowa, United States
of America, 2Department of Plant Biology, Cornell University, Ithaca, New York, United States of America, 3National Center for Genome Resources, Santa Fe, New Mexico,
United States of America, 4Department of Biology, Carleton College, Northfield, Minnesota, United States of America
Background: Several lines of evidence indicate that polyploidy occurred by around 54 million years ago, early in the history of
legume evolution, but it has not been known whether this event was confined to the papilionoid subfamily (Papilionoideae;
e.g. beans, medics, lupins) or occurred earlier. Determining the timing of the polyploidy event is important for understanding
whether polyploidy might have contributed to rapid diversification and radiation of the legumes near the origin of the family;
and whether polyploidy might have provided genetic material thatenabledthe evolutionof a novel organ, the nitrogen-fixing
nodule. Although symbioses with nitrogen-fixing partners have evolved in several lineages in the rosid I clade, nodules are
widespread only in legume taxa, being nearly universal in the papilionoids and in the mimosoid subfamily (e.g., mimosas,
acacias) – which diverged from the papilionoid legumes around 58 million years ago, soon after the origin of the legumes.
Methodology/Principal Findings: Using transcriptome sequence data from Chamaecrista fasciculata, a nodulating member
of the mimosoid clade, we tested whether this species underwent polyploidy within the timeframe of legume
diversification. Analysis of gene family branching orders and synonymous-site divergence data from C. fasciculata, Glycine
max (soybean), Medicago truncatula, and Vitis vinifera (grape; an outgroup to the rosid taxa) establish that the polyploidy
event known from soybean and Medicago occurred after the separation of the mimosoid and papilionoid clades, and at or
shortly before the Papilionoideae radiation.
Conclusions: The ancestral legume genome was not fundamentally polyploid. Moreover, because there has not been an
independent instance of polyploidy in the Chamaecrista lineage there is no necessary connection between polyploidy and
nodulation in legumes. Chamaecrista may serve as a useful model in the legumes that lacks a paleopolyploid history, at least
relative to the widely studied papilionoid models.
Citation: Cannon SB, Ilut D, Farmer AD, Maki SL, May GD, et al. (2010) Polyploidy Did Not Predate the Evolution of Nodulation in All Legumes. PLoS ONE 5(7):
Editor: Shin-Han Shiu, Michigan State University, United States of America
Received March 13, 2010; Accepted June 18, 2010; Published July 16, 2010
This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public
domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
Funding: Supported by the National Science Foundation (grants DEB-0746571 and DUE-0837375). 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.
* E-mail: firstname.lastname@example.org
Polyploidy (or ‘‘whole genome duplication’’ WGD) is a major
force shaping plant genomes, a generator of mutation and a source
of raw material for evolution. It is thought to be a driver of
morphological change , has been implicated in the origin of the
flowering plants , and may have had a role in the differential
survival of lineages at the Cretaceous-Tertiary extinction event .
The deployment of paralogous genes created by segmental or
whole genome duplication is thought to have contributed to the
origin and diversification of the angiosperm flower . Thus, is it
possible that ancient WGD in legumes also contributed the raw
material for the evolution of nodulation – the symbiotic association
of plants and soil bacteria that is characteristic of most members of
the legume family?
The timing of a polyploidy event early in the radiation of the
legumes has been inferred from synonymous-site distances (Ks) in
gene sequences [5,6], and from synteny comparisons within and
between genomic sequences [7,8,9]. The timing of the early-
legume WGD has been narrowed as follows. The WGD predates
the separation of the millettioid legumes (including soybean and
common bean) from the ‘‘cool-season’’ legumes (in the Hologa-
legina or ‘‘galegoid’’ clade, including the models Medicago truncatula
and Lotus japonicus) (Figure 1) [5,8]. On the basis of fossil-calibrated
legume phylogenies, the millettioid and galegoid clades are
estimated to have separated approximately 54 Mya  or 45
Mya  (for consistency, the former number and dates for other
clades will be used except where noted). Further, Arachis (peanut)
separated prior to the millettioid and galegoid lineages, around 55
Mya . On the basis of marker data and marker/genomic
sequence comparisons, Arachis shares the early polyploidy event
with the other papilionoids . There are also reports of evidence
for the early polyploidy event being present in the genistoids (e.g.
Lupinus) [13 and Phil McClean, pers. comm] – though timing
PLoS ONE | www.plosone.org1 July 2010 | Volume 5 | Issue 7 | e11630
relative to the genistoid origin is uncertain. Therefore, the early-
legume polyploidy predated the origin of at least most of the
papilionoids – leaving only a small number of early-diverging
papilionoid taxa such as the Swartzia and Cladastris (and possibly
the genistoid) clades uncertain with respect to the early polyploidy
event (Figure 1). The next taxonomic landmark with near-
complete genomic sequence is Populus trichocarpa, in Salicaceae.
The Salicaceae are estimated to have separated from the legumes
70–84 Mya [14,15,16]. Populus does not appear to share the same
polyploidy event as legumes [3, 8,but see 17]. This leaves a
window of ,15–30 million years in which the early-legume
polyploidy might have occurred: between the origin of the
papilionoids, and the common ancestor of the legumes and the
Determining the relative WGD and speciation timing is
important for addressing two hypotheses: that polyploidy might
have contributed to rapid diversification and radiation of the
legumes near the origin of the family; and that polyploidy might
have provided genetic material that led to or contributed to
evolution of a novel organ, the nodule. Although symbioses with
nitrogen-fixing partners have evolved independently in several
lineages in the rosid I clade , nodules that host unicellular
bacteria (collectively called ‘‘rhizobia’’) as the symbiont are
reported only in the legumes and in the genus Parasponia in
Ulmaceae . If the mechanisms for symbiotic partnerships were
present early during the diversification of the rosid I clade, perhaps
through a modification of the infection thread symbioses of the
ancient plant-arbuscular mycorrhizal symbiosis [as suggested by
20], then polyploidy early in the legumes may have provided the
gene duplicates for further developmental specializations leading
to the nodule. An alternative hypothesis is that there were multiple
origins of nodulation in the legumes [as suggested by 21].
Determining the WGD timing requires examination of species
that may have diverged before the duplication event. Ideally,
several species would be chosen along a taxonomic grade, allowing
precise timing (Figure 1). If transcript sequences are used to
evaluate gene phylogenies, substantial numbers of genes are
required in order to overcome the problems of gene loss, non-
recovery, and misleading phylogenetic signals. Alternatively, Ks
analysis might be used (to track the numbers of accumulated
mutations in each lineage); but mutation rates are highly variable
among both genes and lineages, so Ks results may not be
conclusive, even with large numbers of sampled genes and taxa.
Assembling the transcriptomes of numerous species is costly,
especially if the goal is the near-full-length transcript sequences
required for phylogenetic work. Nevertheless, although having
multiple well-sampled species would be ideal, a single well-chosen
species should be sufficient at least to determine whether an
Figure 1. Skeleton phylogeny of the legumes [after 38, 39, 40, 44]. Nodulation in subtended clades is indicated with ‘‘N’’. Clades with
italicized ‘‘N’’ contain some nodulating species, but also many non-nodulators. Most sampled genera in the Papilionoideae and Mimosoideae
nodulate. The dotted vertical line next to Caesalpinoideae indicates that this subfamily is polyphyletic.
Evolution of Nodulation
PLoS ONE | www.plosone.org2July 2010 | Volume 5 | Issue 7 | e11630
episode of polyploidy occurred before or after separation of that
species from others that are known to have the polyploidy event in
We chose Chamaecrista fasciculata because molecular phylogenies
place Chamaecrista in the large ‘‘mimosoid’’ clade that is sister to the
papilionoid clade ; the two clades diverged approximately 58
Mya . The clade containing Chamaecrista is dominated by
mimosoid legumes, the other major group of nodulating legumes
outside of the papilionoids . Chamaecrista also nodulates, but is
not part of the core mimosoid group . Therefore, Chamaecrista
has a common ancestor with the papilionoids near the origin of the
legumes, and a common ancestor with the mimosoids near the
origin of the mimosoid clade. Determining whether Chamaecrista
has the papilionoid WGD therefore will test whether the common
ancestor shared with papilionoids was already polyploid, or,
alternatively, whether the WGD known from Glycine and Medicago
is confined to papilionoids. Besides being well placed taxonomi-
cally to address the question of polyploidy timing early in legume
evolution, the species also has characteristics that make it a good
candidate as a biological model in several respects in addition to
nodulation, including small size, short generation time, self
compatibility, and high ecotypic diversity .
To determine the relative timings of polyploidy and speciations
in the legumes, we sequenced a large portion of the transcriptome
of C. fasciculata (Cf) and examined the phylogenetic placements of a
large number of these sequences in gene families relative to
sequences from G. max (Gm), M. truncatula (Mt), and V. vinifera (Vv).
Vitis serves as a useful outgroup because it is in the rosid clade, as
an outgroup to both rosid I and rosid II [24,25], yet has not
undergone an additional WGD after its separation from other
rosid I taxa . In contrast, poplar, a candidate outgroup in rosid
I, has undergone an additional, independent WGD since its
separation from the legumes [26,27,28]. Comparisons of gene
trees from these species enables conclusions about WGD timing in
early legume evolution.
Our primary strategy to distinguish relative dates for WGD and
speciation was to examine gene phylogenies from low-copy genes
belonging to gene families where there were sufficient representa-
tives from all four species (Cf, Gm, Mt, and Vv); and then to score
the phylogenies as fitting one of two evolutionary models. The
‘‘WGD-late’’ hypothesis (1) is that WGD occurred within or very
shortly before the papilionoids, after the mimosoid (Cf)/papilio-
noid (Gm, Mt) split; and the ‘‘WGD-early’’ hypothesis (2) is that
WGD predated the mimosoid/papilionoid split. It is also possible
that the Cf lineage has an additional WGD independent of the
episode apparent in the papilionoid lineage; this can be tested as a
separate hypothesis: ‘‘Cf WGD’’, with two alternatives (a, no
WGD vs. b, WGD). The two sets of hypotheses together give four
hypotheses, H1a, H1b, H2a, H2b (Figure 2).
A phylogenetic strategy mostly avoids the problems introduced
by the imprecision and lineage-specific rates of silent-site changes
in Ks analyses. Nevertheless, a phylogenetic approach also
presents challenges. Gene families that undergo rapid birth and
death or gene conversion may not be suitable for this analysis.
Gene families with some rapidly evolving members may not be
suitable if these introduce conflicting phylogenetic signals (such as
long-branch attraction). Additionally, some families might other-
wise be suitable given complete genome (or transcriptome)
sequences, but the phylogenies are unusable because of gene loss
or data incompleteness. The completeness of the Cf transcriptome
is not yet known, although one estimate places the proportion of at
least partially-sequenced genes at ,72–86% (see details below).
The Mt gene set is estimated at 65% complete for the 2007 Mt2.0
genome release . Gene sets are estimated to be more than 95%
complete for Gm  and Vv .
The diversity of sampled tissues and the sequencing depth gives
us confidence that the majority of the Chamaecrista transcriptome is
captured in our sequence assemblies. The 454 Titanium
sequencing generated 367,802 sequences and 124 Mbp total,
with 338 bp average read length. The Illumina sequencing
generated 132,003,973 passing sequences, each 46 bp long, for a
total of 6,069 Mbp. After contigging just the 454 sequences, there
were 90,329 sequences and 46,537 Mbp total, with 515 bp
average length. Adding the Illumina sequence to the 454 contigs
produced fewer, and significantly larger contigs: 54,903 contigs,
with average length 599 bp (maximum 5758, minimum 43).
Evaluation of the Cf contigs in the context of codon-space
alignments suggests that de novo assemblies of the large number of
454 and Illumina reads generally gave coherent sequences (e.g.,
few obvious chimeric or nonsensical sequences were present in the
alignments), but also that the contigs contained relatively high
numbers of apparently allelic sequences and sequences differing by
a few single-base indels. To further collapse these before
phylogeny construction, we identified open reading frames, and
then re-contigged the resulting sequences. This produced 21,781
Figure 2. Models of speciation and polyploidy timings. Each
figure represents a gene tree that would be expected, assuming no
gene losses or additional gains, under the following models: H1 =
polyploidy after the Chamaecrista – papilionoid split; H2 = polyploidy
before the Chamaecrista – papilionoid split; ‘‘a’’ variants = no
independent polyploidy in the Chamaecrista lineage; ‘‘b’’ variants =
independent polyploidy in the Chamaecrista lineage.
Evolution of Nodulation
PLoS ONE | www.plosone.org3 July 2010 | Volume 5 | Issue 7 | e11630
sequences, with average length of 463 nt (maximum 3,376,
minimum 48). Contig sequences are available in Supplementary
Several features from the Cf sequence statistics are worth
highlighting. New sequencing technologies generate large amounts
of data: this project produced more than 124 million bases in long
reads, and more than 6 billion bases in short reads. The final
contigs of 54,903 sequences (average length 599 nt), and 21,781
in-frame, non-redundant contigs (463 nt), can be compared (for
point of reference) to the contigs produced from the major
Medicago Sanger-sequence EST project. The Dana Farber Cancer
Institute Medicago truncatula EST release 9.0, on 259,642 ESTs,
includes 29,273 TCs (‘‘tentative consensus’’ sequences, or contigs),
with average contig length of 1,013 bases .
One approximate indication of coverage completeness is the
number of Gm genes that are matched by Cf transcripts, so that Gm
genes without Cf homologs suggest ‘‘missing’’ Cf genes. This
comparison makes the assumptions that most Gm genes have been
predicted, that homology can be detected over this evolutionary
distance, and that few completely novel genes (i.e. without
homology) have arisen in either lineage. The same procedure
can be made with Mt predicted genes for comparison (from the
Mt2.0 release, ). Using blastx at E-value ,= 1e-8, 85.7% and
80.0% of predicted soybean genes have matches to one or more Cf
contigs or Mt genes, respectively; 80.1% and 66.2% have matches
to Cf contigs or Mt genes with percent identity of .=50%; and
72.7% and 53.7% have matches to Cf contigs or Mt genes with
percent identity of .=60%. So in this range of parameters,
between ,72 and 86% of Gm genes are matched by Cf contigs;
and over the whole range, Cf transcript coverage is greater than for
Mt gene coverage.
Clustering and alignment results
We attempted to avoid systematic biases in generating and
scoring phylogenetic trees. Sequences were compared for
similarity, then clustered, aligned, and used for tree construction.
At each stage, we applied filtering criteria selected to retain
informative gene families and trees. The initial clustering
step produced 11,820 clusters. Clusters were filtered to require
at least enough representatives from each species (Cf .=1,
Gm .=2, Mt .=1, Vv .=1) to be potentially informative
regarding the duplication/polyploidy timing hypotheses. Addi-
tionally, we considered only families with no more than 100
sequences. These species-composition filters left 3,330 clusters.
After aligning sequences for each cluster and trimming to regions
present in at least half of the Cf sequences in the alignment,
2,667 alignments remained. Finally, we retained only those
alignments that could be put consistently in-frame (with fewer
than 0.1% internal stops), and that had an alignment length of at
least 60 aa. This left 1,249 final alignments and trees, with 9,861
sequences. The average alignment length was 552.8 nt. All of
these sequences were usable for determining basic statistics such
as species composition (details below), but only 825 alignments
and trees were scorable manually (with 3 or fewer sequence
losses) for the four phylogenetic models (Figure 2 and Table S3).
These 825 trees resulted in 852 scorable clades (results below),
and 180 scorable clades with our automated procedure with 3 or
fewer sequence losses. Trimmed alignments and trees are
available in Supplementary File S2.
Transcriptome completeness, gene loss, and
In the 1,249 trees used for mining of phylogenetic patterns, the
numbers of sequences from Cf, Mt, and Vv (Table 1) are all within
20% of one another. The counts may be affected by losses in Mt
(due in some part to the estimated 65% transcriptome complete-
ness in the Mt 2.0 assembly version) and Cf (with likely non-
recovery of some transcripts). Despite these sources of noise in the
counts, the effect of recent polyploidy in Gm is evident, with the Gm
count being 2.35 times larger than Mt.
Phylogenetic pattern-mining results
Each of the multi-species gene families was scored for the total
number of sequences present from each species and for the
presence of inferred duplications in the Gm, Mt, and Cf lineages.
Despite substantial completeness of the predicted transcriptome
sets from the four species in the study, gene loss and non-recovery
Table 1. Summary of clade-pattern counts from 1249
informative phylogenetic trees.
gene loss vs. model sum,sum,
Model0123 0–1 0–3
1a11 62 36 2273 131
2a39 304 1246
1ab/2ab 3.7 6.91.3 184.108.40.206
D. Manual counting
gene loss vs. model sum,sum,
1a 31128 116492 159767
2a2 14 3419 1669
1ab/2ab16.59.4 3.424.9 10.3 11.1
Columns indicate numbers of missing sequences relative to full patterns for
each model. Columns 1 and 2 correspond to counts shown in Table 1;
individual counts for the remaining patterns are shown in Tables S2 and S3.
A. Single-sequence counts. The 1,249 scored trees contained these numbers of
Chamaecrista, Medicago, Glycine, and Vitis sequences.
B. Pair counts. The scored trees contained these numbers of simple sequence
pairs. The elevated number of (G,G) is consistent with recent genome
duplication in Glycine.
C. Automated counting, using pattern matching; numbers in cells are the
number of trees or, for more complex trees, clades scored as having either
strong or weak support for a given model (hypothesis). Columns: numbers of
gene losses for scored trees (up to 3) relative to the indicated models. Rows:
D. Manual counting, using visual inspection of all trees. Columns and rows are
the same as in C. Numbers in bold are referred to in the text.
Evolution of Nodulation
PLoS ONE | www.plosone.org4 July 2010 | Volume 5 | Issue 7 | e11630
were observed in many gene families. In general, this produced
uninformative (not scorable) rather than mis-informative results.
Patterns with more losses are subject to more uncertainty, since
‘‘lossy’’ patterns may be the degenerate products of different initial
patterns. For each of the four hypotheses, we considered patterns
with zero through up to three sequence losses, using both
automated pattern matching and visual inspection. Count
summaries for the automated and manual methods are shown in
Table 1. The patterns and counts for all enumerated patterns and
trees are shown in Tables S2 and S3.
Counts based on automated pattern matching used relatively
strict criteria for matches: alternate tree rootings were not
considered, and additional gene duplications beyond those in the
four models were disallowed. In contrast, visual evaluations of
trees allowed for some discretion and interpretation, resulting in
higher counts (for example, consideration of additional paralogous
duplications, alternate rootings, or multiple informative clades in a
tree). Figure 3 shows three trees that illustrate typical clade
patterns, including confounding factors such as sequence losses (in
all clades except the top in 3B) and probable branch-placement
conflicts (e.g. 3C upper), and low bootstrap support for some
clades (e.g. 3C lower). In Figure 3C, visual inspection allows
scoring of both legume clades whereas automated scoring did not.
Nevertheless, these trees together contain six clades scorable with
respect to the four models.
Table 1 shows counts of trees or clades consistent with the four
models, for both automated and manual counting. For example,
considering patterns with losses of up to three sequences from the
models, there are 767, 14, 69, and 1 trees consistent with models
1a, 1b, 2a, 2b, respectively (Table 1, numbers in bold). The
counting procedures can be seen in Figure 3. The tree in Figure 3A
contributes a count of 1 to H1a and also 1 to H2a. No adjustments
were made in the counts to reflect ‘‘weak’’ or ‘‘strong’’ cases
(Figure 3). However, in general, the H2 counts more often tended
to be ‘‘weak’’, typically due to low-bootstrap placement of one Cf
sequence with a ((Gm,Gm),Mt) clade (shown in one clade in each of
Figs. 3A–C). In short, there is virtually no support for independent
duplication in the Cf lineage (model variant b; one of 852 scored
clades, with three sequences losses vs. the model). Considering
patterns with losses of up to three sequences, there is approxi-
mately 11 times more support for ‘‘duplication late’’ (model
variant 1 rather than 2).
Figure 3. Sample gene phylogenies. Each is consistent with gene triplication before the Vitaceae/rosid I separation, followed by the
Chamaecrista/Papilionoideae separation, then WGD before the Glycine/Medicago separation; and lastly, WGD in Glycine. At least 18 of the 518
families examined contain similar early triplications with multi-family (Vitis and legume) clades. Inferred duplication timings are shown with red
circles. Figure 3A: Vessicle-associated membrane protein family (cl3975, Table S3). The top clade is ambiguous because of four sequence losses (2Gm,
1Mt, 1Cf), so did not contribute to counts toward any of the four hypotheses. The second is consistent with H2a, but is weak evidence: it has three
sequence losses (2Mt, Cf), and has bootstrap value of 43% on placement of Cf. The third clade has two sequence losses (Mt, Cf), and is consistent with
H1a. Figure 3B: lactoylglutathione lyase protein family. The first clade is ‘‘complete’’ and supports H1a. The second clade is missing four sequences, so
contributed to none of the hypotheses. The third clade, with two sequence losses (Mt, Cf), is consistent with H2a (though is weak evidence,
considering the bootstrap value of 26% on placement of Cf). Figure 3C: RmlC-type cupin family (cl5891, Table S3). Neither of the legume clades were
counted by the automated methods, but on visual examination, they are weakly consistent with H1a and H2a, respectively. The first clade likely has
misordered sequences Glyma16g04150, Glyma17g24120 (which derive from the recent WGD and should group together), and MtAC148965_5. This
pattern is closest to H1a if the Mt sequence, with bootstrap support of 51%, groups with one of the Gm clades. The Cf sequence, with high bootstrap
value, is in an outgroup position with respect to the papilionoid sequences. The second clade, with two sequence losses (both Mt), is consistent with
H2a (though is weak evidence, considering the bootstrap value of 47% on placement of Cf).
Evolution of Nodulation
PLoS ONE | www.plosone.org5 July 2010 | Volume 5 | Issue 7 | e11630
The patterns of single-species terminal duplications provide an
indication of duplications due to polyploidy. Counts are 49, 190,
1749, and 68 for (Cf,Cf), (Mt,Mt), (Gm,Gm), (Vv,Vv), respectively
(Table 1). The fact that Gm shows nine-fold more terminal
duplications than the next closest pair, (Mt,Mt), may be explained
primarily by these factors: Gm experienced a much more recent
second WGD ; the genomic sequence used in this comparison is
more complete for Gm than for Mt; and patterns of the old legume
duplication that affected Mt have been interrupted by subsequent
speciation with Gm, producing e.g. (((Gm,Gm),Mt),((Gm,Gm),Mt)).
The lowest number of terminal duplications, 49, is for (Cf,Cf). It is
worth noting that this number is comparable to 68 for (Vv,Vv), and
that Vitis is known not to have experienced a WGD since the pre-
rosid triplication event .
In addition to duplication and speciation patterns in the
legumes, the multi-species gene trees show intriguing evidence for
the pre-rosid triplication . At least 18 trees show clear clade
triples, each consisting of a Vv sequence and one or more legume
sequences. Two such trees are shown in Figure 3. Further, of 335
trees scored with up to two sequence losses, 82 have at least two
early-diverging Vv sequences indicating at least some widespread
duplications prior to the split between Vitis and other rosids, and
consistent with the pre-rosid triplication.
The 825 scorable trees contained an average of 7.0 sequences
per tree – though some trees contained multiple clades that
contributed to the tallies. The trees in Figure 3 display typical
clade arrangements, although most scored trees contained one or
two legume clades rather than the three shown in 3A and 3B. For
each tree, we calculated distances based on synonymous and non-
synonymous nucleotide changes for each gene pair. Histograms of
Ks frequencies from these comparisons are shown in Figures 4A–
C. The self-comparisons (GmGm, CfCf, MtMt, VvVv) in Figure 4A
show two well-defined Ks peaks for GmGm, with modes at 0.1, and
0.5, and similar to those reported in Schmutz et al.  from the
full soybean genome and in earlier studies based on ESTs [30,31].
These are consistent with WGD in the Glycine genus and early in
the legumes. The earlier rosid duplication may be swamped out in
GmGm by duplicates from the more recent peaks; indeed, the early
duplication was also not reported by Blanc and Wolfe . A very
old, diffuse peak may be evident in both CfCf and VvVv, with mode
around Ks 1.0–1.4.
Recent gene duplications in MtMt and VvVv, around Ks 0.0–0.1
(Figure 4A), are likely the result of the ongoing recent paralogous
duplications that are common in eukaryotic genomes . The
much lower proportion of such very recent duplicates in CfCf may
reflect collapsing of highly similar paralogs during contig
construction, or lower rates of recent paralogous duplications, or
both. Assuming the lack of a peak in the Ks 0.0–0.1 range is
predominantly an artifact of over-contigging, this could concei-
vably mask a very recent episode of polyploidy in Cf. However,
karyotype and genome-size considerations argue against recent
polyploidy: there are only 8 chromosomes (gametophytic), and the
genome size is estimated at only 637 Mb for the related C. absus
. Further, to collapse duplications from the timeframe of the
early episode of polyploidy would require collapsing at the Ks
,0.5 range. In this Ks range, more than half of the non-coding
sites differ; whereas we estimate the rate of nucleotide corrections
during contigging to be approximately two bases per thousand,
based on the number of changes made by the software exonerate
 during frame-correction (data not shown). There are also no
clear middle-age peaks in the CfCf line, suggesting what is evident
in the tree patterns: that there has been no WGD in Cf since the
early rosid triplication. This inference should be tempered,
though, by lack of a clear peak in the 0.5–0.7 range for Mt.
(The early-WGD peak in Mt should be shifted rightward (older)
with respect to Gm, due to the higher rates of nucleotide changes in
the Mt lineage [5,35]). The Ks plots for Mt and Cf – which are
aggregate reports of any duplication regardless of its nature or the
evolutionary pace of its gene family – should be far less informative
about early duplication events than the evaluation of branching
orders in individual trees. The absence of a clear early-WGD Ks
peak in both Mt and Cf is not necessarily informative in either
direction due to the small number of Mt and Cf paralogs from
these trees – and, therefore, to higher standard error for the Ks
estimates. There were, in the 1249 trees from which Ks values
were calculated, 891 Mt gene pairs, vs 7488 Gm gene pairs and 408
Cf gene pairs. The small number of paralogs in Mt is likely due to a
combination of factors: incompleteness of the Mt2.0 genome
assembly, and possibly also to greater rates of gene loss or change
in that lineage – reported by Cannon et al.  and consistent with
the higher rate of nucleotide changes in the Mt lineage (see below).
In the between-legume comparisons (Figure 4B) the GmMt peak,
at ,0.4–0.5, is clearly younger than the CfGm or CfMt peaks, at
,0.6–0.7. This corresponds well with the species phylogeny: Cf
separated before the split of Gm and Mt . Also evident in
Figure 4B is that CfMt and CfGm peaks differ, at approximately
0.65 and 0.75, respectively. Since these peaks represent the same
divergence event (on the basis of duplication and speciation
patterns in gene families), Mt must be accumulating silent-site
changes more rapidly than Gm. The finding of more rapid silent-
site accumulations in Mt has been reported before [5,6,31]. This
type of rate difference following a common duplication event has
been observed in numerous other plant lineages , re-
emphasizing that despite major differences in age estimates from
Ks distributions, the Ks peaks in two species may represent the
In the comparisons of the legume species with Vv (Figure 4C),
the Ks peaks are diffuse, but all have modes around 1.0–1.4. This
is in the same range as the oldest peaks in CfCf and VvVv
(Figure 4A), suggesting again that the oldest WGD in Cf occurred
in the same time frame as the separation of Vitaceae from other
rosids. It is worth noting that the MtVv curve is shifted (by , +0.1)
with respect to the CfVv and GmVv curves, again consistent with
more rapid accumulation of silent-site mutations in Mt following
the Cf/Mt and Cf/Gm speciations.
The Chamaecrista genome does not show evidence of a whole
genome duplication other than one that occurred in a distant pre-
rosid ancestor. In particular, our results do not support that the
Chamaecrista lineage experienced the polyploidy event found in
papilionoid legumes such as Medicago and Glycine. This finding adds
considerably to our understanding of the legumes, which comprise
the third largest family of flowering plants and are of great
economic and ecological importance [37,38,39].
The legumes are intriguing for their capacity for symbiotic
nitrogen fixation, for their great diversity, and for their rapid
radiation and global spread following the origin of the family,
approximately 60 Mya . However, nodulation and diversity
are unevenly distributed across the family. Traditionally, the
family has been classified into three subfamilies of very unequal
sizes [phylogenetic numbers and summary from 40]: Papilionoi-
deae (the typical ‘‘beans’’ such as pea, lupine, soybean, and
peanut, with 478 genera and an estimated 13,805 species);
Mimosoideae (e.g., acacia; 92 genera and 3,271 species); and
Evolution of Nodulation
PLoS ONE | www.plosone.org6 July 2010 | Volume 5 | Issue 7 | e11630
Evolution of Nodulation
PLoS ONE | www.plosone.org7 July 2010 | Volume 5 | Issue 7 | e11630
Caesalpinioideae (171 genera and 2,251 species). Mimosoideae
and Papilionoideae are monophyletic groups, whereas Caesalpi-
nioideae is polyphyletic. The largest group of caesalpinioid
legumes (59 genera and 1,094 species) are part of the ‘‘mimosoid’’
clade that also includes Mimosoideae, and is sister to Papilionoi-
deae. Thus, the two largest radiations of the family—85% of the
genera and 94% of the species—belong to these two sister clades,
which diverged from the remaining legume lineages shortly after
the origin of the family [10,39].
Nodulation is confined to these two largest clades, but is not
universal in either . Some early diverging lineages of
Papilionoideae do not nodulate, suggesting a possible origin of
nodulation after origination of the subfamily. Although most
surveyed species in Mimosoideae nodulate, and nodulation occurs
in the closest caesalpinioid relatives of Mimosoideae, nodulation is
confined to only a few genera outside of this group, one of them
being Chamaecrista. Given this distribution, it is therefore possible
that nodulation has originated multiple times in the family –
though multiple-loss scenarios are also plausible .
Thus, in legumes we have nodulation and a polyploidy event
that could be correlated with it, and either of these phenomena
could be correlated with extensive speciation. Is there a causal
relationship? Our data are not consistent with a single polyploidy
event in the ancestor of all legumes, and thus refinement of these
hypotheses is required. Because Chamaecrista does not share the
papilionoid polyploidy event found in Medicago and Glycine, that
genome duplication must have occurred either in the common
ancestor of all papilionoids or early in the radiation of that
subfamily. Details of the early phylogenetic history of the
papilionoid clade remain unclear due to its apparently rapid
radiation [10,42]. The fact that the polyploidy event is shared by
Glycine (millettioid clade) and Medicago (Hologalegina) means that it
took place before 54 Mya, during the initial rapid radiation of the
papilionoids that began around 59 Mya. Other major clades that
comprise that radiation are now known to have undergone the
same polyploidy event found in the genomes of Glycine and
Medicago. These include the dalbergioid Arachis  and possibly
the genistoid Lupinus . A small number of additional early-
diverging papilionoids [10,22] also remain to be sampled for this
event, including the Swartzia and Cladastris clades (Figure 1). Thus,
regardless of whether every papilionoid taxon experienced the
polyploidy event, there is a strong correlation between polyploidy
and evolutionary radiation—the legume lineage with the largest
number of genera and species is polyploid. It is also among the
‘‘basal papilionoid’’ group of genera that the non-nodulating
members of the subfamily occur, e.g. the vataireoids and the
Cladastris clade [22,42,43,44,45]. Therefore, it is possible that
polyploidy and nodulation in the papilionoids are correlated, and
thus there could be a causal relationship (though not a necessary
one). Determination of early papilionoid phylogeny, more
information on the distribution of nodulation in many mostly
tropical woody genera, and detailed studies of individual gene
families involved in nodulation could provide the data needed to
test this hypothesis.
The absence of polyploidy in Chamaecrista is what eliminates any
necessary correspondence between nodulation and polyploidy in
legumes. There has been neither a single polyploidy event in the
common ancestor of all nodulating species (i.e., in the common
ancestor of the papilionoids and the mimosoid clade), nor two
independent polyploidy events in papilionoids and Chamaecrista (or
the common ancestor of Chamaecrista and the Mimosoideae and its
nodulating close relatives). Whether the common ancestor of the
Mimosoideae and their close relatives (excluding Chamaecrista)
underwent a whole genome duplication awaits genomic studies in
these taxa; the base chromosome number of x =13 or 14 suggests
that the mimosoids may be polyploid. If so, the mimosoid crown
polyploid event occurred sometime during the past ca. 55 Mya,
since its common ancestor with Chamaecrista. In any case, the lack
of polyploidy for Chamaecrista means that, in the sense of a family-
defining event, the legumes are not fundamentally polyploid as a
It remains to be seen whether nodulation is homologous in
Chamaecrista and other legumes, such as other members of the
mimosoid clade or in the more distantly related papilionoids.
Nodulation has arisen multiple times in members of the rosid I
‘‘nitrogen-fixing clade’’ including the legumes, suggesting a
predisposition for nodulation that evolved in the non-nodulating
common ancestor of this large group . This same predisposi-
tion could underlie multiple origins within the legumes. However,
neither in the case of the nitrogen-fixing clade nor in the legumes
as a whole has polyploidy been directly associated with the origin
If genome duplication was not required for origination of
nodulation in the legumes, is there anything about Chamaecrista
nodules that might clarify our understanding of nodule evolution?
Indeed, Chamaecrista nodules appear to exhibit a number of
putatively ancestral nodule characters relative to nodules of most
papilionoid lineages. Rhizobia appear to enter via epidermal
cracks [41,46]. Shortly after entry, the bacteria are surrounded by
a plant membrane; this modified infection-thread-like structure,
called the ‘‘fixation thread’’ by Sprent , varies substantially
among the evaluated Chamaecrista species. Naisbitt et al. 
describe thick-walled, persistent fixation threads (the tree species C.
ensiformis); thin-walled threads (the perennial shrub C. desvauxii);
and transient threads that release bacteria into the cytoplasm (C.
fasciculata and 10 other species sampled, including perennial and
annual shrubs and herbs). In most papilionoid genera, nitrogen
fixation occurs only after bacteria are released from the infection
thread. In contrast, nitrogen fixation occurs within the persistent
fixation thread in those Chamaecrista species that contain this
structure. The crack entry seen in Chamaecrista (i.e. infection not via
root-hair), followed by variable response by the plant (formation of
a persistent vs. a transient membrane), both suggest a less
elaborate process than the process found in most papilionoids,
involving root-hair curling and formation of an infection thread in
advance of the bacteria’s path [44,47]. Even in legumes that
normally produce nodules through infection threads, rhizobial
infection and subsequent nodulation via crack entry has been
observed; examples include both papilionoids (e.g., Trifolium, Lotus)
and mimosoids (e.g., Neptunia, Mimosa) [reviewed in 41, 48, 49].
This suggests that the ability to nodulate via crack or apoplastic
Figure 4. Frequencies of gene pairs by Ks bin from 518 informative multi-species gene trees. Rates of synonymous-site changes (Ks) were
calculated for each gene pair from each informative gene. Frequencies were calculated for each Ks value, in intervals of 0.1 Ks, and plotted as a
proportion of all such pairs, for the indicated categories. Figure 4A: self-comparisons (CfCf, etc.). Note the recent peak in GmGm, corresponding to the
,10 Mya Glycine duplication (value at this peak is 14.6). Figure 4B: legume-to-legume comparisons (CfGm, CfMt, etc.). Note the more recent peak in
GmMt than in either CfGm or CfMt, as would be expected from the species phylogeny. Figure 4C: legume-to-Vitis comparisons (CfVv, etc.). Note the
much ‘‘older’’ peak than in any of the legume self-comparisons, and the possible shift in MtVv relative to CfVv or GmVv – which would be consistent
with more rapid change in Mt (also evident in Figure 4B).
Evolution of Nodulation
PLoS ONE | www.plosone.org8 July 2010 | Volume 5 | Issue 7 | e11630
entry may be a more ancestral state to which other legumes may
default under some conditions .
Thus, a revised hypothesis in light of the Chamaecrista
information is that nodulation or proto-nodulation existed before
the papilionoid WGD, perhaps utilizing crack- or epidermal entry,
with a plant response involving membrane production around the
invading rhizobia. This remained the evolutionary path in most of
the caesalpinoid, the mimosoid and in the dalbergioid and
genistoid legumes (the latter being papilionoids, but perhaps
retaining more ancestral nodule developmental patterns). Follow-
ing WGD in the lineage leading to the papilionoids or early in that
lineage, duplicated genes facilitated elaboration of biochemical
responses and developmental structures (e.g. infection thread and
root-hair involvement). Thus, although WGD was evidently not
required for the evolution of nitrogen-fixing nodulation, it may
have fostered development of several elaborate papilionoid nodule
forms, and may also have helped spur the rapid radiation and
ecological success of the papilionoids. Testing of these hypotheses
will require further examination of gene function in the context of
gene duplication patterns in species exhibiting various nodule
characteristics across the legumes.
Materials and Methods
Plants from a C. fasciculata ecotype collected in Minnesota
(MN98, originally JEM98 obtained from J. Etterson) were grown
for tissue in a controlled environment growth room. Tissues were
collected from 14 conditions, including root, shoot, nodule, and
inflorescence tissues at several time points (Table S1). Tissue was
prepared for mRNA library production. For shoot tip tissue, seeds
were surface sterilized, scarified with sandpaper, and germinated
on moistened filter paper in Petri dishes in a growth chamber with
the following conditions: 16 h high intensity light (21uC), 8 h
darkness (21uC). Germinated seedlings were placed in pots
containing a soilless media (Metromix 360, Fafard) and grown in
a growth room with the following conditions: 8 h high intensity
light (21uC) followed by 10 h day extension lighting with
incandescent light (18.5uC), 6 h darkness (18.5uC). Shoot tips
(apical tips above the last expanded leaf) were harvested from age-
staged plants. For nodules and root tissue, germinated seeds were
placed on a sterilized mixture of vermiculite:perlite (1:1) moistened
with 1/4 strength Hoagland nitrogen-free media, pH 7.0 (Plant
Media) and inoculated at planting with Rhizobium Cowpea Type
(Nitragin EL, EMD Crop Biosciences, Inc., Milwaukee, WI) and
grown in a growth chamber with the following conditions: 16 h
high intensity light (21uC), 8 h darkness (21uC). Plants were
watered with 1/4 strength Hoagland nitrogen-free media, pH 7.0,
and monitored for root and nodule formation.
RNA was isolated from developmentally staged C. fasciculata
(MN98) shoot tips, roots, root tips, nodules, and nodules with
associated root tissue at the point of attachment (Table S1,
showing conditions and tissue photographs). RNA for the mRNA
library production was extracted from tissue with an RNA
Progreen RNA Isolation Kit (Q-Biogene). The RNA was then
treated with DNAse (Turbo DNA-free, Ambion) and stored at
28uC prior to shipment to NCGR for mRNA library production.
Libraries were sequenced using two methods: with Roche 454
Titanium on pooled RNA from all 14 tissues to generate long
reads to serve as alignment templates; and with the Illumina
Genome Analyzer to generate high sequence coverage and
transcript counts (for use in analyses to be published separately).
For the Roche 454 Titanium sequencing, cDNA was synthe-
sized with the following adaptors, and subsequently sheared during
454 library prep.
The total number of reads in the bulk run was 950,227 with an
average read-length of 344.69 bp and a total number of bases of
For short-read generation (Illumina sequence), whole transcrip-
tome shotgun (WTS) libraries were generated, and were
sequenced on an Illumina Genome Analyzer to a read length of
46 base pairs. The average number of reads per library was 9.428
million, and total reads were 132 million, and 6 billion DNA bases
Sequence assembly and processing
Assembly proceeded by contigging the 454 reads, followed by
several rounds of contig extensions. The 454 reads were contigged
using a custom perl pipeline and Blat  to bin homologous
sequences, then cap3  to align sequences in contigs. Illumina
reads were filtered for quality as follows. Low-scoring right tails
were trimmed from any bases with phred score ,4 (after
conversion to phred scores with a custom perl script). Additionally,
the following low-scoring sequences were removed: sequences
consisting of greater than 66% of poly-A -T -G or -C; and
sequences with fewer than 30 high quality bases.
Contig generation and extension with Illumina sequence
proceeded using VCAKE , adding sequences in four batches
(to avoid computer memory limitations in the 32 bit perl
implementation of VCAKE). Each round used VCAKE para-
meters -k 42 (i.e. use 42 nucleotides from each sequence); -n 21
(percent overlap required; default is 18). The first VCAKE round
extended from the 454 contigs, and next two round extended from
the preceding contigs. After the third round, contigs were
collapsed using cap3 , using default parameters. In the final
round of Illumina extensions, contigs and singletons from cap3
were extended with the remaining batch of Illumina reads, then
re-collapsed with a final round of cap3. This set of preliminary
contigs consisted of 54,903 contigs, with average length 599 nt.
Evaluation of the initial contigs by homology comparisons of the
sequences with themselves indicated under-contigging, with highly
similar sequences probably remaining from allelic variants (from
heterozygous source DNA), splice variants, and minor sequencing
variants. Therefore, preparatory to alignments and tree construc-
tion, we used two additional rounds of contigging with cap3,
followed by conceptual translation using exonerate  to align
each C. fasciculata sequence in-frame to the most similar soybean
peptide sequence from the Glyma1.01 annotation. We used the
exonerate alignments and custom perl scripts to remove single-
base insertions responsible for probable frame shifts, and a final
run of cap3 to re-collapse in-frame sequences resulting from the
exonerate comparisons. The resulting file has 21,781 sequences,
with average length 463 nt. Of these sequences, 90.7% are
without internal stop codons in frame 0. The remainder may
either be ORFs in other frames, or may contain frame shifts.
Contig sequences are available in Supplementary File S1.
Clustering, alignments, and phylogeny construction
Sources of predicted gene sequences for the comparison genomes
were as follows: for Mt, the Mt2.0 mRNA sequences from http://
Vitis_vinifera_mRNA_v1.f file from http://www.genoscope.cns.fr/
Evolution of Nodulation
PLoS ONE | www.plosone.org9 July 2010 | Volume 5 | Issue 7 | e11630
from Gm, the Glyma1.cDNA.fa file from the Glyma1.01 genome
build and annotation from http://www.phytozome.org/soybean .
Gene families were generated by first making all-by-all
homology comparisons among cDNA sequences in the four
genomes, then constructing single-linkage clusters. Homology
searches were conducted with NCBI blastall , with parameters
-p blastp -e 1e-10 -b 10. Blast hits were further filtered to require
.=50% identity and match length .=60 aa (180 nt). Clusters
were also filtered to identify likely informative families prior
to alignment and tree-making. Filtering for retaining clusters used
the following count restrictions Cf .=1, Gm .=2, Mt .=1,
Vv .=1, Cf+Gm+Mt+Vv ,=100.
Maximum likelihood phylogenies were calculated on in-
frame codon alignments with RAxML , using the GTR
model with four gamma categories for rate heterogeneity
(with parameters estimated from the alignment by RAxML).
Trimmed alignments and trees are available in Supplementary
Synonymous site analysis
Counts of changes per synonymous site were calculated between
all sequence pairs in each gene family, based on in-frame codon
alignments, implemented in the SNAP program . The Ks
values in SNAP are calculated using the method of Nei and
Gojobori , with Jukes-Cantor correction for multiple hits in
the proportion of synonymous substitutions.
Quantification of tree patterns
Trees were evaluated for patterns consistent with hypotheses 1 and
2, and variants a and b (Figure 2), using two methods: first, pattern
searches, implemented in Perl regular expressions, to count patterns
consistent with the hypotheses (allowing for prescribed numbers of
gene losses); and second, manual examination and scoring of alltrees.
For the automated approach, trees were first rooted on an arbitrarily
chosen Vv sequence. Branch lengths were stripped, sequence names
were simplified, and clades were rotated to reduce the number of
potential patterns. All patterns used for these counts, as well as the
perl counting program, are provided in Table S2. For the manual
approach, trees were rooted by inspection, with the goal of selecting a
plausible root by reconciling the gene tree with the known species
tree. In practice, the selected root was usually either a Vv clade or a
midpoint between two or more multi-species (Vv + legume) clades.
For hypotheses 1 and 2, all possible deletion variants up to loss of two
Gm and one Mt sequence were considered, as shown in Table1. Also,
for hypothesis 2 (duplication before the Cf,(MtGm) separation), loss of
one Cf gene was considered.
isolation. MN98 refers to the Minnesota ecotype that was
sequenced. Age refers to the number of expanded leaves present
on plants from which shoot tips were isolated.
Summary of C. fasciculata tissues used for RNA
phylogenetic trees. The indicated patterns are simplified text
representations of phylogenetic tree topologies. The enumerated
counts include all variants consistent with models H1a, H1b, H2a,
H2b, allowing up to four missing sequence from the full ‘‘canonical’’
patterns. For example, ((((G,G),M),((G,G),M)),C) is the representation
of model H1a, assuming outgroup rooting by either Vv or other
multi-species clades. Clades in all trees were first modified where
necessary to ensure that variants such as ((G,G),M) and (M,(G,G))
were both counted.
phylogenetic trees. Columns D-G show the numbers of sequences
missing relative to the canonical pattern for the indicated model
(H1a … H2b).
Manual counts of patterns found in 1,249 informative
Found at: doi:10.1371/journal.pone.0011630.s004 (2.09 MB GZ)
Chamaecrista fasciculata contig sequences.
all 1249 trees described in the paper.
Found at: doi:10.1371/journal.pone.0011630.s005 (2.55 MB GZ)
Alignments and trees. Trimmed alignments and trees for
We thank Randy Shoemaker and Rex Nelson and anonymous reviewers
for helpful discussions, and Nathan Weeks for bioinformatics support.
Conceived and designed the experiments: SBC SS JD. Performed the
experiments: SLM. Analyzed the data: SBC DI ADF. Contributed
reagents/materials/analysis tools: GM SS. Wrote the paper: SBC JD.
1. Freeling M, Thomas BC (2006) Gene-balanced duplications, like tetraploidy,
provide predictable drive to increase morphological complexity. Genome Res
2. De Bodt S, Maere S, Peer YVd (2005) Genome duplication and the origin of
angiosperms. Trends in Ecology and Evolution 20: 591–597.
3. Fawcett JA, Maere S, Van de Peer Y (2009) Plants with double genomes might
have had a better chance to survive the Cretaceous-Tertiary extinction event.
Proc Natl Acad Sci U S A 106: 5737–5742.
4. Irish VF, Litt A (2005) Flower development and evolution: gene duplication,
diversification and redeployment. Curr Opin Genet Dev 15: 454–460.
5. Pfeil BE, Schlueter JA, Shoemaker RC, Doyle JJ (2005) Placing paleopolyploidy
in relation to taxon divergence: a phylogenetic analysis in legumes using 39 gene
families. Syst Biol 54: 441–454.
6. Schlueter JA, Dixon P, Granger C, Grant D, Clark L, et al. (2004) Mining EST
databases to resolve evolutionary events in major crop species. Genome 47:
7. Mudge J, Cannon SB, Kalo P, Oldroyd GE, Roe BA, et al. (2005) Highly
syntenic regions in the genomes of soybean, Medicago truncatula, and
Arabidopsis thaliana. BMC Plant Biol 5: 15.
8. Cannon SB, Sterck L, Rombauts S, Sato S, Cheung F, et al. (2006) Legume
genome evolution viewed through the Medicago truncatula and Lotus japonicus
genomes. Proc Natl Acad Sci U S A 103: 14959–14964.
9. Schmutz J, Cannon SB, Schlueter J, Ma J, Mitros T, et al. (2009) Genome
sequence of the paleopolyploid soybean. Nature (in press).
10. Lavin M, Herendeen PS, Wojciechowski MF (2005) Evolutionary rates analysis
of Leguminosae implicates a rapid diversification of lineages during the tertiary.
Syst Biol 54: 575–594.
11. Bruneau A, Mercure M, Lewis G, Herendeen PS (2008) Phylogenetic patterns
and diversification in the caesalpinioid legumes. Botany 86: 697–718.
12. Bertioli DJ, Moretzsohn MC, Madsen LH, Sandal N, Leal-Bertioli SC, et al.
(2009) An analysis of synteny of Arachis with Lotus and Medicago sheds new
light on the structure, stability and evolution of legume genomes. BMC
Genomics 10: 45.
13. Nelson MN, Phan HT, Ellwood SR, Moolhuijzen PM, Hane J, et al. (2006) The first
gene-based map of Lupinus angustifolius L.-location of domestication genes and
conserved synteny with Medicago truncatula. Theor Appl Genet 113: 225–238.
14. Wikstrom N, Savolainen V, Chase MW (2001) Evolution of the angiosperms:
calibrating the family tree. Prooceedings of the Royal Society of London, series B
15. Wikstrom N, Savolainen V, Chase MW (2003) Angiosperm divergence times:
congruence and incongruence between fossils and sequence divergence
estimates. In: Donohue PCJ, Smith MP, eds. Telling the evolutionary time:
molecular clocks and the fossil record. London, UK: Taylor & Francis. pp
Evolution of Nodulation
PLoS ONE | www.plosone.org10 July 2010 | Volume 5 | Issue 7 | e11630
16. Sanderson MJ, Thorne JL, Wikstrom N, Bremer K (2004) Molecular evidence Download full-text
on plant divergence times. Am J Bot 91: 1656–1665.
17. Freeling M (2009) Bias in plant gene content following different sorts of
duplication: tandem, whole-genome, segmental, or by transposition. Annu Rev
Plant Biol 60: 433–453.
18. Soltis DE, Soltis PS, Morgan DR, Swensen SM, Mullin BC, et al. (1995)
Chloroplast gene sequence data suggest a single origin of the predisposition for
symbiotic nitrogen fixation in angiosperms. Proc Natl Acad Sci U S A 92:
19. Trinick MJ, Goodchild DJ, Miller C (1989) Localization of Bacteria and
Hemoglobin in Root Nodules of Parasponia andersonii Containing Both
Bradyrhizobium Strains and Rhizobium leguminosarum biovar trifolii. Appl
Environ Microbiol 55: 2046–2055.
20. Kistner C, Parniske M (2002) Evolution of signal transduction in intracellular
symbiosis. Trends Plant Sci 7: 511–518.
21. Doyle JJ (1994) Phylogeny of the legume family: an approach to understanding
the origins of nodulation. Annu Rev Ecol Syst 25: 325–349.
22. Wojciechowski MF, Lavin M, Sanderson MJ (2004) A phylogeny of legumes
(Leguminosae) based on analysis of the plastid MatK gene resolves many well-
supported subclades within the family. Am J Bot 91: 1846–1862.
23. Singer SR, Maki SL, Farmer AD, Ilut D, May GD, et al. (2009) Venturing
beyond beans and peas: what can we learn from Chamaecrista? Plant Physiol
24. Ravi V, Khurana JP, Tyagi AK, Khurana P (2007) Rosales sister to Fabales:
towards resolving the rosid puzzle. Mol Phylogenet Evol 44: 488–493.
25. Soltis PS, Soltis DE, Chase MW (1999) Angiosperm phylogeny inferred from
multiple genes as a tool for comparative biology. Nature 402: 402–404.
26. Jaillon O, Aury JM, Noel B, Policriti A, Clepet C, et al. (2007) The grapevine
genome sequence suggests ancestral hexaploidization in major angiosperm
phyla. Nature 449: 463–467.
27. Tang H, Wang X, Bowers JE, Ming R, Alam M, et al. (2008) Unraveling ancient
hexaploidy through multiply-aligned angiosperm gene maps. Genome Res 18:
28. Tuskan GA, Difazio S, Jansson S, Bohlmann J, Grigoriev I, et al. (2006) The
genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science 313:
29. MGSC (2007) Medicago truncatula genome ‘‘Mt2.0’’ release whitepaper.
30. Quackenbush J, Cho J, Lee D, Liang F, Holt I, et al. (2001) The TIGR Gene
Indices: analysis of gene transcript sequences in highly sampled eukaryotic
species. Nucleic Acids Res 29: 159–164.
31. Blanc G, Wolfe KH (2004) Widespread paleopolyploidy in model plant species
inferred from age distributions of duplicate genes. Plant Cell 16: 1667–1678.
32. Lynch M, Conery JS (2000) The evolutionary fate and consequences of duplicate
genes. Science 290: 1151–1155.
33. Ohri D, Kumar A, Pal M (1986) Correlations between 2C DNA values and
habit in Cassia (Leguminosae: Caesalpinioideae). Plant Syst and Evol 153:
34. Slater GS, Birney E (2005) Automated generation of heuristics for biological
sequence comparison. BMC Bioinformatics 6: 31.
35. Schlueter JA, Lin JY, Schlueter SD, Vasylenko-Sanders IF, Deshpande S, et al.
(2007) Gene duplication and paleopolyploidy in soybean and the implications for
whole genome sequencing. BMC Genomics 8: 330.
36. Cui L, Wall PK, Leebens-Mack JH, Lindsay BG, Soltis DE, et al. (2006)
Widespread genome duplications throughout the history of flowering plants.
Genome Res 16: 738–749.
37. Graham PH, Vance CP (2003) Legumes: importance and constraints to greater
use. Plant Physiol 131: 872–877.
38. Cannon SB, May GD, Jackson SA (2009) Three sequenced legume genomes and
many crop species: rich opportunities for translational genomics. Plant Physiol
39. Doyle JJ, Luckow MA (2003) The rest of the iceberg. Legume diversity and
evolution in a phylogenetic context. Plant Physiol 131: 900–910.
40. Lewis G, Schrire B, Mackind B, Lock M (2005) Legumes of the World: Royal
Botanic Gardens, Kew.
41. Sprent JI (2007) Evolving ideas of legume evolution and diversity: a taxonomic
perspective on the occurrence of nodulation. New Phytol 174: 11–25.
42. Doyle JJ, Doyle JL, Ballenger JA, Dickson EA, Kajita T, et al. (1997) A
phylogeny of the chloroplast gene rbcL in the Leguminosae: taxonomic
correlations and insights into the evolution of nodulation. Am J Bot 84: 541–554.
43. Pennington RT, Lavin M, Ireland H, Klitgaard BB, Preston J, et al. (2001)
Phylogenetic relationships of basal papilionoid legumes based upon sequences of
the chloroplast trnL intron. Syst Bot 26: 537–556.
44. Sprent J (2009) Legume nodulation: a global perspective. Oxford, UK: Wiley-
45. Foster CM, Horner HT, Graves WR (1998) Nodulation response of woody
Papilionoid species after innoculation with rhizobia and soil from Hawaii, Asia
and North America. Plant and Soil 205: 103–111.
46. Naisbitt T, James EK, Sprent JI (1992) The evolutionary significance of the
legume genus Chamaecrista, as determined by nodule structure. New Phytol 122:
47. Lee A, Hirsch AM (2006) Signals and Responses: Choreographing the Complex
Interaction between Legumes and alpha- and beta-Rhizobia. Plant Signal Behav
48. James EK, Sprent JI (1999) Development of N2-fixing nodules on the wetland
legume Lotus uglinosus exposted to conditions of flooding. New Phytol 142:
49. Mathesius U, Charon C, Rolfe BG, Kondorosi A, Crespi M (2000) Temporal
and spatial order of events during the induction of cortical cell divisions in white
clover by Rhizobium leguminosarum bv. trifolii inoculation or localized
cytokinin addition. Mol Plant Microbe Interact 13: 617–628.
50. Kent WJ (2002) BLAT—the BLAST-like alignment tool. Genome Res 12:
51. Huang X, Madan A (1999) CAP3: A DNA sequence assembly program.
Genome Res 9: 868–877.
52. Jeck WR, Reinhardt JA, Baltrus DA, Hickenbotham MT, Magrini V, et al.
(2007) Extending assembly of short DNA sequences to handle error.
Bioinformatics 23: 2942–2944.
53. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, et al. (1997) Gapped
BLAST and PSI-BLAST: a new generation of protein database search
programs. Nucleic Acids Res 25: 3389–3402.
54. Stamatakis A, Ott M (2008) Efficient computation of the phylogenetic likelihood
function on multi-gene alignments and multi-core architectures. Philos
Trans R Soc Lond B Biol Sci 363: 3977–3984.
55. Korber B (2000) HIV signature and sequence variation analysis. In: Rodrigo AG,
Learn GH, eds. Computational Analysis of HIV Molecular Sequences.
Dordrecht, Netherlands: Kluwer. pp 55–72.
56. Nei M, Gojobori T (1986) Simple methods for estimating the numbers of
synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol 3:
Evolution of Nodulation
PLoS ONE | www.plosone.org11 July 2010 | Volume 5 | Issue 7 | e11630