Reconstructing the origins of high-alpine niches and cushion life form in the genus Androsace S.L. (Primulaceae).

Details

Ressource 1Download: BIB_218B805A8799.P001.pdf (1378.45 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_218B805A8799
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Reconstructing the origins of high-alpine niches and cushion life form in the genus Androsace S.L. (Primulaceae).
Journal
Evolution
Author(s)
Boucher F.C., Thuiller W., Roquet C., Douzet R., Aubert S., Alvarez N., Lavergne S.
ISSN
1558-5646 (Electronic)
ISSN-L
0014-3820
Publication state
Published
Issued date
2012
Peer-reviewed
Oui
Volume
66
Number
4
Pages
1255-1268
Language
english
Abstract
Relatively, few species have been able to colonize extremely cold alpine environments. We investigate the role played by the cushion life form in the evolution of climatic niches in the plant genus Androsace s.l., which spreads across the mountain ranges of the Northern Hemisphere. Using robust methods that account for phylogenetic uncertainty, intraspecific variability of climatic requirements and different life-history evolution scenarios, we show that climatic niches of Androsace s.l. exhibit low phylogenetic signal and that they evolved relatively recently and punctually. Models of niche evolution fitted onto phylogenies show that the cushion life form has been a key innovation providing the opportunity to occupy extremely cold environments, thus contributing to rapid climatic niche diversification in the genus Androsace s.l. We then propose a plausible scenario for the adaptation of plants to alpine habitats.
Keywords
Adaptation, Physiological, Altitude, Biological Evolution, Chloroplast Proteins/genetics, Climate, DNA, Intergenic/genetics, Ecosystem, Genes, Plant, Phylogeny, Primulaceae/anatomy & histology, Primulaceae/classification, Sequence Alignment, Sequence Analysis, DNA
Pubmed
Web of science
Open Access
Yes
Create date
28/11/2011 15:03
Last modification date
20/08/2019 12:58
Usage data