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Year: 2011
Absence of mammals and the evolution of New Zealand grasses
Antonelli, A; Humphreys, A M; Lee, W G; Linder, H P
Antonelli, A; Humphreys, A M; Lee, W G; Linder, H P (2011). Absence of mammals and the evolution of NewZealand grasses. Proceedings of the Royal Society. Series B, Biological Sciences, 278(1706):695-701.Postprint available at:http://www.zora.uzh.ch
Posted at the Zurich Open Repository and Archive, University of Zurich.http://www.zora.uzh.ch
Originally published at:Antonelli, A; Humphreys, A M; Lee, W G; Linder, H P (2011). Absence of mammals and the evolution of NewZealand grasses. Proceedings of the Royal Society. Series B, Biological Sciences, 278(1706):695-701.
Antonelli, A; Humphreys, A M; Lee, W G; Linder, H P (2011). Absence of mammals and the evolution of NewZealand grasses. Proceedings of the Royal Society. Series B, Biological Sciences, 278(1706):695-701.Postprint available at:http://www.zora.uzh.ch
Posted at the Zurich Open Repository and Archive, University of Zurich.http://www.zora.uzh.ch
Originally published at:Antonelli, A; Humphreys, A M; Lee, W G; Linder, H P (2011). Absence of mammals and the evolution of NewZealand grasses. Proceedings of the Royal Society. Series B, Biological Sciences, 278(1706):695-701.
Absence of mammals and the evolution of New Zealand grasses
Abstract
Anthropogenic alteration of biotic distributions and disturbance regimes has dramatically changed theevolutionary context for the differentiation of species traits. Some of the most striking examples inrecent centuries have been on islands where flightless birds, which evolved in the absence ofmammalian carnivores, have been decimated following the widespread introduction of exotic predators.Until now, no equivalent case has been reported for plants. Here, we make use of robust analytical toolsand an exceptionally well-sampled molecular phylogeny to show that a majority of New Zealanddanthonioid grasses (Poaceae) may have adapted to the relaxed vertebrate herbivore pressure during thelate Cenozoic through the development of a distinctive and unusual habit: abscission of old leaves. Thisfeature occurs in only about 3 per cent of the world's roughly 11 000 grass species and has beenempirically shown to increase plant productivity but to reduce protection against mammal grazing. Thisresult suggests that release from a selective pressure can lead to species radiations. This seeminglyanachronistic adaptation may represent an overlooked factor contributing to the severe decline in thegeographical extent and species diversity of New Zealand's indigenous grasslands following theintroduction of herbivorous terrestrial mammals in the 19th century.
1
Absence of mammals and the evolution of New Zealand 1
grasses 2
Alexandre Antonelli1,3,*
, Aelys M. Humphreys1, William G. Lee
2 & H. Peter Linder
1 3
1Institute of Systematic Botany, University of Zurich, Zollikerstrasse 107, CH 8008, 4
Zurich, Switzerland. 2Landcare Research, Private Bag 1930, Dunedin 9016, New 5
Zealand. 3Current address: Gothenburg Botanical Garden, Carl Skottsbergs gata 22A, 6
413 19, Göteborg, Sweden. 7
*Corresponding author (E-mail: [email protected]) 8
9
Running Head: „Ghost‟ adaptation in New Zealand 10
11
SUMMARY 12
Anthropogenic alteration of biotic distributions and disturbance regimes has 13
dramatically changed the evolutionary context for the differentiation of species traits. 14
Some of the most striking examples in recent centuries have been on islands where 15
flightless birds, which evolved in the absence of mammalian carnivores, have been 16
decimated following the widespread introduction of exotic predators. Until now, no 17
equivalent case has been reported for plants. Here we make use of robust analytical 18
tools and an exceptionally well sampled molecular phylogeny to show that a majority of 19
New Zealand danthonioid grasses (Poaceae) may have adapted to the relaxed vertebrate 20
herbivore pressure during the late Cenozoic through the development of a distinctive 21
2
and unusual habit: abscission of old leaves. This feature occurs in only about 3% of the 22
world‟s ca. 11,000 grass species, and has been empirically shown to increase plant 23
productivity but to reduce protection against mammal grazing. This result suggests that 24
release from a selective pressure can lead to species radiations. This seemingly 25
anachronistic adaptation may represent an overlooked factor contributing to the severe 26
decline in the geographical extent and species diversity of New Zealand‟s indigenous 27
grasslands following the introduction of herbivorous terrestrial mammals in the 19th
28
century. 29
30
KEY WORDS: evolution; plant-animal interactions; species radiations. 31
32
33
3
1. INTRODUCTION 34
Plant species show many adaptations caused by specific interactions with past and 35
present herbivorous animals, including leaf toughness and spines. However, 36
distinguishing current and historical pressures for different plant traits is hampered by 37
the Late Pleistocene and Holocene extinctions of herbivores associated with human 38
colonisation of continents and islands (1-5). A possible solution to this is to utilise 39
natural evolutionary experiments by comparing plants in regions with different 40
herbivore histories (6). 41
Diversification and expansion of grasslands during the late Cenozoic has been 42
linked to the evolution of large herbivorous mammals (4). Various common features of 43
grasses (family Poaceae), e.g. phytoliths and rhizomatous growth form, may decrease 44
vulnerability to grazers. New Zealand constitutes an ideal system for investigating the 45
evolution of herbivores and grasses because the animals that lived in the archipelago 46
prior to human colonisation ca. 750 years ago are well documented. During prehistoric 47
times, no terrestrial mammals existed – except for a mouse-sized species that went 48
extinct (7) – and birds were the dominant herbivores, including moas, diverse 49
waterfowl, and rails (8). Mammals and birds feed differently on grasses. Mammals 50
remove and ingest entire leaves by manipulating forage with their lips and tongue and 51
cutting material with their teeth; birds graze tussock grasses by pulling and cutting 52
foliage, and several (notably rails) use clamping and tugging to remove tillers and 53
access basal meristematic tissue (9). The historical absence of mammals could thus have 54
resulted in different grass adaptations in New Zealand compared to the mammal 55
dominated savannahs of Africa and pampas of South America. 56
4
One possible candidate for such an adaptation is the ability to shed dead leaves. 57
Accumulation of dead leaves in grasses is known to reduce light availability and CO2 58
uptake, convert immediately usable inorganic nitrogen in rainwater to less readily 59
available organic nitrogen in microbial biomass, inhibit nitrogen fixation, decrease soil 60
temperatures and reduce root productivity (10). Despite the deleterious effects of 61
retaining dead leaves, only about 3% of the world‟s ca. 11,000 grass species are able to 62
abscise old leaves (11) (Table 1). Leaf abscission typically occurs at a fracture zone at 63
the base of the leaf blade (Fig. 1). Experimental evidence has led to a recent possible 64
explanation of this paradox. Leaf abscission (mimicked by manual removal of dead 65
leaves) increases biomass production, but it also makes grasses more palatable (12). 66
Under pressure by grazing mammals, leaf loss to herbivory becomes so severe that it 67
outweighs the benefits of increased biomass production (12). 68
New Zealand grasslands are dominated by long-lived tussock species, a major 69
component of which are the snow grasses (Chionochloa) and allied short tussock 70
species (Rytidosperma). Both genera belong to the grass subfamily Danthonioideae 71
(“pampas grasses” and allies), a clade of ca. 280 species of temperate grasses 72
distributed on all continents except Antarctica (13) (Fig. 2), and comprising both leaf-73
abscising species and species in which old leaves are retained. If New Zealand grasses 74
have experienced different selection pressures to their African and American relatives 75
we would expect these differences to have left a detectable morphological signature in 76
the extant species. We explored this hypothesis by analysing the occurrence of leaf 77
abscission in danthonioid grasses present in New Zealand compared to those occurring 78
elsewhere. 79
80
5
2. MATERIAL AND METHODS 81
(a) Phylogenetic and dating analyses 82
Recent studies have investigated relationships (14, 15) and hybridization (16) within the 83
grass subfamily Danthonioideae, leading to a new taxonomic revision of its genera (17). 84
To take into account phylogenetic and branch length uncertainty in our analyses, we 85
generated here a set of optimal trees by combining two recently published data sets (14, 86
15). The final matrix comprised 299 accessions (representing ca. 81% of the 280 87
described species), including 8 genera outside the Danthonioideae (Amphipogon, 88
Andropogon, Aristida, Arundo, Hordeum, Micraira, Setaria and Stipagrostis) and 89
contained 14,425 aligned nucleotide positions from 8 plastid and 2 nuclear sequence 90
regions: trnL–trnF, rpl16, rbcL, ndhF, matK, atpB-rbcL, trnT-trnL, trnC-trnD, ITS and 91
26S rDNA. 92
We inferred phylogenetic relationships in MrBayes v. 3.12 (18, 19) by 93
performing 10 topologically unconstrained runs of 1.2 x 106 generations each, under the 94
GTR++I model as selected by the Akaike Information Criterion in ModelTest v. 3.7 95
(20), sampling every 500th
generation, with 1 cold and 3 heated chains. All runs started 96
from the tree with Maximum Likelihood (ML) score obtained during 50 independent 97
ML analyses in GARLI v. 0.96b (21). We estimated absolute divergence times in 98
BEAST v.1.5.2 (22), by calibrating the root of the Danthonioideae with a normally 99
distributed prior (mean 26.1 Ma, standard deviation 0.5) following the results of a large 100
analysis of Poaceae based on fossil constraints (23), assuming a Yule model of 101
speciation under an uncorrelated lognormal clock, and following other standard settings. 102
We performed 2 independent runs of 107 generations each, sampling every 5000
th 103
6
generation. We assessed convergence of runs and effective sample sizes for all MCMC 104
parameters in Tracer v. 1.5 (22) and AWTY (24). An initial burn in of 500 trees was 105
excluded from each independent MrBayes runs, leaving 11406 trees for calculating a 106
50% majority-rule consensus. For the BEAST runs, 1500 trees were excluded, leaving 107
8232 time-calibrated trees (see also Humphreys et al., submitted). 108
To minimize sampling biases, where multiple DNA accessions were available 109
for a species and the species was shown to be monophyletic, we subsequently pruned all 110
but one of the sequences from the MrBayes and BEAST post burn-in tree samples, 111
while keeping the remaining branch lengths unaltered. In few cases where plastid and 112
nuclear DNA partitions for the same species appeared in conflict during pilot runs, we 113
duplicated these taxa in the matrix such that each duplicate was represented by one 114
partition only, following the approach and rationale described by Pirie et al. (16). 115
(b) Ancestral state optimisation 116
We used a carefully verified DELTA database (17) to code for species distributions 117
(absent in New Zealand=0; present in New Zealand=1) and leaf type (leaves 118
persistent=0, leaves abscising=1). We used both Fitch parsimony and ML (under two 119
models: the Markov k-state 1 parameter and the Asymmetrical Markov k-state 2 120
parameters) implemented in Mesquite v. 2.72 (25) to reconstruct ancestral states for all 121
nodes in a sample of 5,000 Bayesian trees, randomly selected from all independent runs 122
(burn-in excluded). For each node of the 50% majority-rule consensus tree from the 123
Bayesian analysis, we computed the relative frequency of uniquely best states across the 124
tree sample. These results were used to identify clades where shifts to abscission most 125
probably occurred and compute the number of species descending from these shifts. 126
7
(c) Directionality and conservativeness of shifts 127
We tested whether shifts to leaf abscission occurred more times than shifts into the other 128
direction by comparing the distribution of shifts into each direction across our sample of 129
optimal trees. We tested whether shifts in leaf type were phylogenetically conservative 130
by calculating the distribution of observed shifts with number of shifts across a sample 131
of trees in which terminals had been randomly shuffled (10 x 1,000 randomly selected 132
Bayesian trees). To evaluate whether any pattern of conservativeness depended on 133
presence in New Zealand, we performed this test for trees containing all sampled 134
accessions of Danthonioideae and trees in which New Zealand terminals had been 135
pruned while retaining branch lengths of unpruned lineages. These analyses were 136
performed in Mesquite (25). 137
(d) Correlation analysis 138
To test whether leaf retention and leaf abscission have evolved depending on 139
geographic distribution, we compared the fit of models of dependent and independent 140
evolution to our data. Correlation analyses were carried out using the Discrete (ML) and 141
BayesDiscrete (mcmc) commands (26, 27) in BayesTraits (available from: 142
www.evolution.rdg.ac.uk/BayesTraits.html). Eight rate parameters constitute the 143
dependent model, which assumes that each character evolves (forward and backward 144
shifts) at different rates depending on the state of the second character. In the 145
independent model forward and backward shifts in one character occur at the same rate 146
regardless of the state of the second parameter (coefficients q12=q34, q13=q24, 147
q21=q43 and q31=q42; Table S1). Hence, a model of independent evolution has four 148
parameters. Definitions of rate coefficients and the results for the correlation analyses 149
8
are provided in Table S1. Since the number of reversals inferred seemed unrealistically 150
large we did not use these values for testing directionality of shifts. Inflated rate 151
coefficients are to be expected when shifts are inferred to have occurred along short 152
branches (28), therefore we only used information on reversals from the parsimony 153
analysis, as this test ignores differences in branch lengths. 154
Fit of dependent and independent models using ML was compared using a 155
likelihood ratio test over a sample of 5,000 randomly selected Bayesian trees (burn-in 156
excluded) and with ten likelihood iterations per tree. Fit of dependent and independent 157
models in a Bayesian framework were compared using Bayes factors, calculated as 158
twice the difference in log harmonic mean of the worst fitting model and the better 159
fitting model (29). Multiple, long Markov runs were performed to ensure that the 160
harmonic mean remained stable within and among runs. We used the reversible jump 161
MCMC method (26, 30), which allows sampling of the various possible models of 162
evolution in proportion to their posterior probabilities (26) as opposed to only the rate 163
parameters being sampled in this way, as in conventional MCMC (28). We used an 164
exponentially distributed hyperprior (28) with its mean value seeded from a uniform 165
distribution in the interval specified, to ensure that posterior values were contained 166
within, but not determined by, the prior range. We varied the amount by which the rate 167
parameters are allowed to change between iterations of the Markov chain, by varying 168
the „ratedev‟ value, so that acceptance rates averaged 20-40%. This should avoid 169
autocorrelation while ensuring adequate exploration of parameter space. To improve 170
initially low acceptance rates we used a modified version of the code that accepts either 171
a move to a new model or a move to a different tree (courtesy of A. Meade). We ran 1.5 172
x 108 generations, sampling every 1,000 generations, yielding a sample of 145,000 173
9
iterations after 5 x 106 iterations were removed as burnin. In addition we ran a separate 174
series of analyses restricted to sampling only independent models. 175
In total, 5 sampled species are polymorphic for leaf type, and 3 for distribution. 176
All analyses above were repeated coding polymorphic species with (0,1) followed by 177
coding only for presence (1), with the rationale of retaining information about all those 178
species able to abscise their leaves and being native to New Zealand even if they show 179
polymorphism in one or both traits (except ML optimisations in Mesquite, unable to 180
handle polymorphisms). All statistical tests yielded the same level of significance in 181
both cases. 182
3. RESULTS AND DISCUSSION 183
The 50% majority-rule consensus tree of the Bayesian analysis in MrBayes, together 184
with posterior probabilities of all resolved clades, is provided in Electronic 185
Supplementary Material, Fig. S1. Figure 3 shows a simplified version of that tree, with 186
duplicated species pruned and indicating the presence of leaf abscission and distribution 187
in New Zealand. Relationships obtained are congruent with previous estimates of the 188
danthonioid phylogeny (14, 15). The time-calibrated tree of the subfamily, estimated in 189
BEAST and showing 95% highest posterior densities of node ages, is provided in Fig. 190
S2. 191
Results from the parsimony and ML optimisations for leaf abscission and 192
distribution, coding only for presence, produced nearly identical results with respect to 193
ancestral states (the main difference being a higher level of ambiguity for the 194
reconstruction of early diverging nodes under the 2-rate ML model, as compared to 195
parsimony and the 1-rate ML model). Given these similarities, and since ML in 196
10
Mesquite cannot handle polymorphic taxa and thus requires an arbitrary simplification 197
of reality, we report here only the parsimony results for leaf type and distribution (Figs. 198
S3 and S4, respectively). The optimisations over 5,000 trees resulted in a mean of 29 199
shifts in leaf abscission and 12 shifts in distribution. 200
Leaf abscission occurs in the majority of danthonioid species native to New 201
Zealand, a proportion that is markedly higher than found in other regions (Table 1; 202
Fisher‟s Exact test, one tailed P<0.001). This striking imbalance could be the result of 203
differences in the rates of shifts between leaf abscission and leaf retention, differences 204
in the retention of one state over the other, differences in speciation rates between 205
lineages with abscising and persistent leaves, or a combination of more than one of 206
these factors. 207
(a) Evolution and retention of leaf abscission 208
Shifts in leaf type (persistentabscising) are strongly correlated with geographical 209
distribution (present in New Zealandabsent in New Zealand; Figs. 3 and 4a–b; 210
average Likelihood Ratio 16.1, average logBayes Factor 14.6; in both cases 4 d.f.). The 211
rate of transition to leaf abscission is higher in New Zealand than elsewhere (Wilcoxon 212
rank sum test, based on Bayesian posterior rate coefficients, n=1.8x108, one tailed 213
P<0.001). On all continents, shifts from persistent to abscising leaves have been more 214
common than shifts in the opposite direction (Fig. S5; parsimony ancestral state 215
reconstruction, t test for independent samples, n=5000, one tailed P<0.001). However, 216
the ultimate consequences of evolving abscission have been very different in New 217
Zealand compared to other regions: lineages that evolved this ability outside New 218
Zealand have rarely diversified, producing at most 6 leaf-abscising species in genus 219
11
Merxmuellera in the southern African Drakensberg – a region that, interestingly and in 220
accordance with the patterns obtained for New Zealand, historically has only sustained a 221
very low density of small-sized mammal herbivores (31, 32). Within New Zealand, on 222
the other hand, lineages that evolved leaf abscission have become significantly more 223
species rich, as indicated by a Wilcoxon rank sum test (n1=16, n2=3, one tailed P=0.001; 224
Fig. S3 shows which clades were included in the test). The same test remains significant 225
even after correcting for incomplete species sampling in Merxmuellera (4 out of 7 226
species sampled) and the potential effect of time in species accumulation. Time was 227
taken into account by calculating speciation rates under a pure birth [Yule] model for 228
each leaf abscising clade, based on the number of descendant species S and the median 229
stem age t obtained in the BEAST analysis, such that = ln[S]/t (33) (P=0.004 in both 230
cases). Retention of leaf abscission over more diversification events in New Zealand is 231
also evident by the fact that in all mammal dominated regions the phylogenetic 232
distribution of leaf-abscising species is not distinguishable from a random distribution, 233
whereas in New Zealand leaf-abscising species show a phylogenetically conserved 234
pattern (Figs. S6 and S7; t test for independent samples, n=5000, one tailed P<0.001). 235
These results show that the higher proportion of leaf-abscising danthonioid grass 236
species native to New Zealand compared to species absent from New Zealand is due to 237
two factors: a higher frequency of evolution of leaf abscission in new Zealand lineages 238
and greater net diversification rates of these lineages. 239
(b) A “ghost” adaptation? 240
12
There has been a long debate on the factors shaping the evolution of New Zealand 241
plants. New Zealand enjoys a rich endemic flora with many peculiar adaptations, such 242
as the „divaricate‟ life form, which characterizes ca. 20% of the endemic woody species 243
(9). Juveniles of these species produce densely intertangled branches no taller than 2–3 244
m, forming cage-like barriers to predation. In adult individuals, branches are acute-245
angled, often with larger leaves and reach above 3 m in height. Although the divaricate 246
habit has long been interpreted as a response to climatic conditions (34), recent studies 247
have provided overwhelming evidence that it instead served as an adaptation against 248
browsing by the now extinct moas (9, 35). However, it is unlikely that leaf abscission 249
evolved as a response to evolutionary pressures exerted by browsing birds. From 250
detailed analyses of fossilized dung and gizzards, moas appear to have eaten tussock 251
grasses only rarely (35). Similarly, there is no indication that the extant native grassland 252
rail (Porphyrio hochstetteri) would have influenced the evolution of leaf abscising 253
grasses, since it has been documented to access leaf bases of certain tussock species 254
irrespective of dehiscent features (36). The absence of mammals in New Zealand 255
therefore appears to have been the major factor conferring a strong evolutionary 256
advantage to leaf abscising grasses in New Zealand in the past. The results presented 257
here support this hypothesis and even if they do not provide evidence against other 258
possible causative factors (e.g. soil nutrient differences) they do provide insight into a 259
possibly important factor in the shaping of the New Zealand grass flora. 260
(c) A current disadvantage? 261
If leaf abscission in New Zealand grasses evolved as a response to the absence of 262
grazing mammals, native grasses would be expected to be poorly adapted to the 263
13
introduction of sheep, cattle and rabbits during European settlement after ca. 1850. 264
There is strong evidence that endemic grasses are inherently susceptible to mammalian 265
grazers (37-39), but grassland deterioration at large scales is complex and usually 266
involves multiple causes including burning, stocking rates, feral animals and invasive 267
weeds (40). To date no studies have experimentally tested whether adult leaf-abscising 268
grasses native to New Zealand are more susceptible to grazing than grasses with 269
persistent leaves, because leaf abscission has never been considered a relevant 270
parameter in ecological studies. There is however evidence that dominance (m2/ha) of a 271
leaf-abscising species (Chionochloa flavescens) increased significantly during the 21 272
years that followed the removal of mammal grazers in north facing plots of New 273
Zealand‟s South Island (38). A comparable significant increase in dominance was not 274
observed in the same plots for C. macra, a closely related species with persistent leaves. 275
Although further studies are clearly needed to test this prediction, these differences 276
reinforce the idea that leaf abscission confers higher productivity and thus a competitive 277
advantage in the absence of mammal grazers (12) – an advantage that may have been 278
turned into a disadvantage in many areas of New Zealand today. 279
280
281
ACKNOWLEDGEMENTS 282
We thank J. Wood, C. Carbutt and T. O‟Connor for discussion, R. Wüest for help with 283
GIS, and the Computational Biology Service Unit hosted by Cornell University, USA 284
(http://cbsuapps.tc.cornell.edu) where the MrBayes and BEAST analyses were 285
performed. We are very thankful to the constructive comments by the associated editor 286
14
Susanne Renner and two anonymous reviewers. This project was financed by a grant 287
from the Swiss Science Foundation to HPL. 288
289
FIGURE CAPTIONS 290
Fig 1. Leaf abscission in grasses. a) Herbarium specimen of the New 291
Zealand grass Chionochloa rigida, a leaf-abscising species. b) Detail of fracture 292
zone where old leaves are shed. 293
Fig 2: Distribution of grass subfamily Danthonioideae. GIS-based map 294
based on 22,025 occurrences from GBIF (www.gbif.org) and 19,372 from 295
various sources. Occurrences coded as New Zealand are marked in red, all 296
others in green. 297
Fig 3. Phylogeny of Danthonioideae. Bayesian consensus cladogram 298
showing leaf type and distribution for 270 accessions (representing ca. 81% of 299
all described species; only presence is coded). Relationships were derived from 300
analysis of 14,425 aligned nucleotide positions from 8 plastid and 2 nuclear 301
DNA sequence regions. See Fig. S1 for the fully annotated MrBayes consensus 302
reporting posterior probabilities for all clades. 303
Fig 4. Results from the phylogeny-based correlation analyses. a) 304
distribution and leaf type, using Maximum Likelihood implemented in 305
BayesTraits (26); b) Bayes factor (calculated as twice the difference of the log 306
harmonic mean between dependent and independent analyses) plotted against 307
iteration in the reversible-jump Markov chain Monte Carlo analysis in 308
15
BayesTraits (26). The analysis stabilizes after an initial burn-in phase. The 309
dashed lines indicate significance levels, under which there is “very strong 310
evidence” for correlation (29). 311
312
16
313
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