Smith 2008
Smith 2008
Plants
Stephen A. Smith and Michael J. Donoghue
Science 322, 86 (2008);
DOI: 10.1126/science.1163197
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REPORTS
each phylogeny, we calculated the number of sub-
Rates of Molecular Evolution Are Linked stitutions per nucleotide site per million years using
branch lengths estimated from the dated molecu-
to Life History in Flowering Plants lar trees. Branch calculations were binned on the
basis of inferred life history to produce box plots
Stephen A. Smith* and Michael J. Donoghue for each clade (Fig. 1). Outliers (values >1.5 times
beyond the first and third quartiles) were excluded
Variable rates of molecular evolution have been documented across the tree of life, but the as artifacts of divergence-time estimation (e.g.,
cause of this observed variation within and among clades remains uncertain. In plants, it has been those with zero or near-zero branch lengths). Within
suggested that life history traits are correlated with the rate of molecular evolution, but each major clade, we noted that trees/shrubs were
previous studies have yielded conflicting results. Exceptionally large phylogenies of five major consistently evolving more slowly than related
angiosperm clades demonstrate that rates of molecular evolution are consistently low in trees herbaceous plants. Median rates of nucleotide
and shrubs, with relatively long generation times, as compared with related herbaceous plants, divergence were 2.7 to 10 times as high in herbs
which generally have shorter generation times. Herbs show much higher rates of molecular change as in trees/shrubs; herbs also showed higher
but also much higher variance in rates. Correlates of life history attributes have long been of ranges and variances (Fig. 1). None of the tree/
interest to biologists, and our results demonstrate how changes in the rate of molecular evolution shrub lineages examined here showed high rates
that are linked to life history traits can affect measurements of the tempo of evolution as of molecular evolution, but some herbaceous
well as our ability to identify and conserve biodiversity. lineages were inferred to have low evolutionary
0.015
0.01
ferred life history states
(brown for trees/shrubs;
0.000
0.000
green for herbs). Box plots
show substitutions per site Apiales
per million years for the Commelinids
0.01
tiles, whiskers extend to Bromeliaceae
0.010
0.000
outlier. Outliers (not shown)
have values >1.5 times
0.000
0.005
beyond the first or third Dipsacales
quartiles.
0.000
Urticaceae
Primulales
Moraceae
Valerianaceae
Dipsacales with substi- Apiales Dipsacales
tutions per site per mil-
lion years plotted for
10-million-year intervals
through the life of the
Apiaceae
Dips
resent inferred life his-
tory states (brown for M L
trees/shrubs; green for
herbs). Box plots as in
Fig. 1. PM, Pittospora-
Caprifolieae
M, Morinaceae; L, Linna-
ceae.
Araliaceae
Adoxaceae
70 60 50 40 30 20 10 0 100 80 60 40 20 0
0.0015
0.002
0.0000
0.0000
lecular evolution.
5
5
Differences in rates of evolution associated
4
ly in synonymous substitutions within coding se-
0.3
1
molecular change
3 2
4 quences (31). We analyzed 1208 commelinid rbcL
11 sequences, pruning species lacking an rbcL se-
3
1
13
9 7
6
8 logeny and using RAxML to estimate branch
9
2
8
6 lengths for several partitions of the data (Table 2)
3
5
(13). As expected, estimated amino acid branch
0.1
13 10
7
lengths showed the least difference in rate be-
1
14
2 12
11 tween life history classes (2.1 times as fast as in
15
10 herbs), with first and second nucleotide positions
0.0
0
12 being next smallest (3.2 times as fast). The rate
trees/shrubs herb difference in the full Commelinidae data set (all
Fig. 3. Branch-length contrasts for trees/shrubs versus herbs. (A) Lines are drawn between the accumulated species, all genes) fell between these two values
average molecular branch lengths for each tree/shrub clade and its sister herbaceous clade (numbers (2.7 times as fast in herbs). The third positions
correspond to those in Table 1). All evolutionary shifts were inferred to be from trees/shrubs to herbs except showed the greatest difference in rate (4.98 times
for the evolution of palms within monocotyledons (arrowhead in contrast 4). Contrasts 1 to 13 were used in as fast in herbs). These findings are similar to
an initial sign test (P = 0.00342). Alternative contrasts within the Dipsacales (14 and 15) are marked by those based on a much smaller sample of rbcL
dotted lines and were substituted for 11 to 13 in one test (P = 0.00049); contrasts 11 to 15 were omitted in a sequences from grasses and palms (11).
third test (P = 0.00195). (B) Magnitude of change between each tree/shrub clade and its herbaceous sister Our findings highlight the need for the meth-
clades; values above 1 show higher rates of molecular evolution in herbs than in trees/shrubs. ods used to date phylogenies to address the form
of clade-dependent heterogeneity documented here.
A rate of nucleotide substitution obtained from
Table 1. Branch length contrasts 1 to 13 derive from the trees in Fig. 1 [see (13) for more exact locations an herbaceous group cannot be used to calibrate a
of the nodes in question]. Plants in the first taxon in each pair of representative taxa are trees/shrubs;
clade of trees/shrubs, or vice versa, without con-
plants in the second are herbs. Within Dipsacales, we explored alternative contrasts, substituting contrasts
founding age estimates. Likewise, relaxed clock
14 and 15 for 11 to 13 in one test and omitting contrasts 11 to 15 in another.
methods [e.g., (32)] are likely to estimate that slow-
Major clade Representative taxa Trees/shrubs Herbs Difference ly evolving groups are younger, and that rapidly
evolving groups are older, than their true ages. It
Apiales 1 Astrotricha–Hydrocotyle 0.0564 0.2173 3.8538
may be possible to avoid mixing clades with very
2 Aralia–Panax 0.0198 0.0679 3.4224
different life histories in designing dating studies.
3 Pittosporaceae–Apiaceae 0.1692 0.2724 1.6097
Otherwise, as we have attempted here, the use of
Commelinidae 4 Arecales–remaining 0.1363 0.4350 3.1915
multiple calibration points spanning clades that
Commelinidae
differ in life history may help alleviate this prob-
Moraceae– 5 Brosimum–Dorstenia 0.0213 0.1013 4.7527
lem. Also, as shown here for Commelinidae, the
Urticaceae 6 Moraceae–Urticaceae 0.1002 0.1800 1.7967
use of amino acid sequences (or the removal of
7 Cecropia/Coussapoa– 0.0361 0.0873 2.4169
third sites) may be useful. Bayesian models that
Boehmeria
do not assume an autocorrelated rate of molecular
Primulales 8 Ardisia–sister Myrsinaceae 0.0433 0.1011 2.3330
evolution [e.g., (33)] are promising, but current
9 Theophrastaceae– 0.0953 0.1824 1.9138
methods are incapable of analyzing large data sets.
Myrsinaceae/Primulaceae
We hope that our results will also focus new
Dipsacales 10 Symphoricarpos–Triosteum 0.0142 0.0210 1.4747
attention on the extent to which molecular and
11 Linnaeeae–Morinaceae 0.0217 0.0626 2.8912
morphological evolution are coupled [see (34, 35)].
12 Woody Sambucus– 0.0075 0.0061 0.8130
Are rates of morphological evolution also slower
herbaceous Sambucus
in trees/shrubs than in herbs [e.g., (36)]? Until
13 Viburnum–Adoxa 0.0352 0.0856 2.4304
this question is addressed, we urge caution in as-
14 Linnaeeae– 0.0219 0.0863 3.9432
suming that morphological change scales with mo-
Morinaceae/Dipsacaceae/
lecular change and in using molecular branch
Valerianaceae
lengths alone to assess “feature diversity” and de-
15 “Woody” Sambucus– 0.0133 0.0554 4.1783
sign conservation strategies [e.g., (37)]. A related
Adoxa
issue is the likely success of “barcoding” methods
tions between the endoderm and mesoderm in a bipotential “mesendoderm” (8). However, Department of Developmental and Cell Biology, University
specify organ locations and symmetries (2). relatively little is known about germ layer– of California, Irvine, CA 92697, USA.
Defects in the endoderm alter the morphogene- specific pathways that establish organ rudiments. *To whom correspondence should be addressed. E-mail:
sis of mesodermal organs (e.g., heart, kidneys, In zebrafish, mesendodermal organ progenitors tschilli@uci.edu