Absence of mammals and the evolution of New Zealand grasses

被引:27
作者
Antonelli, Alexandre [1 ]
Humphreys, Aelys M. [1 ]
Lee, William G. [2 ]
Linder, H. Peter [1 ]
机构
[1] Univ Zurich, Inst Systemat Bot, CH-8008 Zurich, Switzerland
[2] Landcare Res, Dunedin 9016, New Zealand
关键词
evolution; plant-animal interactions; species radiations; SNOW TUSSOCK CHIONOCHLOA; CORRELATED EVOLUTION; DRAKENSBERG; INFERENCE; DEFENSES; MRBAYES; LEGACY; MODEL;
D O I
10.1098/rspb.2010.1145
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Anthropogenic alteration of biotic distributions and disturbance regimes has dramatically changed the evolutionary context for the differentiation of species traits. Some of the most striking examples in recent centuries have been on islands where flightless birds, which evolved in the absence of mammalian 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 tools and an exceptionally well-sampled molecular phylogeny to show that a majority of New Zealand danthonioid grasses (Poaceae) may have adapted to the relaxed vertebrate herbivore pressure during the late Cenozoic through the development of a distinctive and unusual habit: abscission of old leaves. This feature occurs in only about 3 per cent of the world's roughly 11 000 grass species and has been empirically shown to increase plant productivity but to reduce protection against mammal grazing. This result suggests that release from a selective pressure can lead to species radiations. This seemingly anachronistic adaptation may represent an overlooked factor contributing to the severe decline in the geographical extent and species diversity of New Zealand's indigenous grasslands following the introduction of herbivorous terrestrial mammals in the 19th century.
引用
收藏
页码:695 / 701
页数:7
相关论文
共 40 条
[31]   Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo [J].
Pagel, Mark ;
Meade, Andrew .
AMERICAN NATURALIST, 2006, 167 (06) :808-825
[32]   A novel supermatrix approach improves resolution of phylogenetic relationships in a comprehensive sample of danthonioid grasses [J].
Pirie, Michael D. ;
Humphreys, Aelys M. ;
Galley, Chloe ;
Barker, Nigel P. ;
Verboom, G. Anthony ;
Orlovich, David ;
Draffin, Suzy J. ;
Lloyd, Kelvin ;
Baeza, C. Marcelo ;
Negritto, Maria ;
Ruiz, Eduardo ;
Sanchez, J. Hugo Cota ;
Reimer, Elizabeth ;
Linder, H. Peter .
MOLECULAR PHYLOGENETICS AND EVOLUTION, 2008, 48 (03) :1106-1119
[33]   Reticulation, Data Combination, and Inferring Evolutionary History: An Example from Danthonioideae (Poaceae) [J].
Pirie, Michael D. ;
Humphreys, Aelys M. ;
Barker, Nigel P. ;
Linder, H. Peter .
SYSTEMATIC BIOLOGY, 2009, 58 (06) :612-628
[34]   MODELTEST: testing the model of DNA substitution [J].
Posada, D ;
Crandall, KA .
BIOINFORMATICS, 1998, 14 (09) :817-818
[35]   SNOW TUSSOCK (CHIONOCHLOA) POPULATION RESPONSES TO REMOVAL OF SHEEP AND EUROPEAN HARES, CANTERBURY, NEW-ZEALAND [J].
ROSE, AB ;
PLATT, KH .
NEW ZEALAND JOURNAL OF BOTANY, 1992, 30 (04) :373-382
[36]  
ROWEROWE DT, 1986, S AFR J WILDL RES, V16, P12
[37]   DODO AND THE TAMBALACOQUE TREE [J].
TEMPLE, SA .
SCIENCE, 1979, 203 (4387) :1364-1364
[38]   Coprolite deposits reveal the diet and ecology of the extinct New Zealand megaherbivore moa (Aves, Dinornithiformes) [J].
Wood, Jamie R. ;
Rawlence, Nicolas J. ;
Rogers, Geoffery M. ;
Austin, Jeremy J. ;
Worthy, Trevor H. ;
Cooper, Alan .
QUATERNARY SCIENCE REVIEWS, 2008, 27 (27-28) :2593-2602
[39]   Miocene mammal reveals a Mesozoic ghost lineage on insular New Zealand, southwest Pacific [J].
Worthy, Trevor H. ;
Tennyson, Alan J. D. ;
Archer, Michael ;
Musser, Anne M. ;
Hand, Suzanne J. ;
Jones, Craig ;
Douglas, Barry J. ;
McNamara, James A. ;
Beck, Robin M. D. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (51) :19419-19423
[40]  
ZWICKL D.J., 2006, Genetic algorithm approaches for the phylogenetic analysis of large biological sequence data sets under the maximum likelihood criterion