Extinction in Phylogenetics and Biogeography: From Timetrees to Patterns of Biotic Assemblage
| Autor: | Isabel Sanmartín, Andrea S. Meseguer |
|---|---|
| Přispěvatelé: | RJB, Consejo Superior de Investigaciones Científicas, Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Financial supportcamefromMINECO,theSpanishMinistry of EconomyandCompetitiveness,projectCGL2012-40129-C02- 01 toIS,and from a Marie-Curie FP7–COFUND(AgreenSkills fellowship–26719)toAM., European Project: 267196, Sanmartin, Isabel, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Ministerio de Economía, Industria y Competitividad (España), Ministerio de Economía y Competitividad (España), European Commission |
| Rok vydání: | 2016 |
| Předmět: |
phylogénétique
0106 biological sciences 0301 basic medicine asymmetric spatial extinction diversification Speciation [SDV]Life Sciences [q-bio] Biogeography Bayesian inference Biodiversity Inference Likelihood-based methods biogeographie Review Biology 010603 evolutionary biology 01 natural sciences Mass extinction global diversity patterns 03 medical and health sciences Phylogenetics birth–death models birth-death model Genetics Genetics (clinical) Extinction event Extinction Phylogenetic tree Ecology diversification des espèces inférence bayésienne 15. Life on land spéciation 030104 developmental biology speciation extinction d'espèce 13. Climate action Diversification species diversification Global diversity patterns Molecular Medicine Birth–death models likelihood-based methods mass extinction Asymmetric spatial extinction |
| Zdroj: | Frontiers in Genetics Frontiers in Genetics, Frontiers, 2016, 7, ⟨10.3389/fgene.2016.00035⟩ Frontiers in Genetics, 2016, 7, ⟨10.3389/fgene.2016.00035⟩ Frontiers in Genetics (7), . (2016) Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 1664-8021 |
| Popis: | Global climate change and its impact on biodiversity levels have made extinction a relevant topic in biological research. Yet, until recently, extinction has received less attention in macroevolutionary studies than speciation; the reason is the difficulty to infer an event that actually eliminates rather than creates new taxa. For example, in biogeography, extinction has often been seen as noise, introducing homoplasy in biogeographic relationships, rather than a pattern-generating process. The molecular revolution and the possibility to integrate time into phylogenetic reconstructions have allowed studying extinction under different perspectives. Here, we review phylogenetic (temporal) and biogeographic (spatial) approaches to the inference of extinction and the challenges this process poses for reconstructing evolutionary history. Specifically, we focus on the problem of discriminating between alternative high extinction scenarios using time trees with only extant taxa, and on the confounding effect introduced by asymmetric spatial extinction – different rates of extinction across areas – in biogeographic inference. Finally, we identify the most promising avenues of research in both fields, which include the integration of additional sources of evidence such as the fossil record or environmental information in birth–death models and biogeographic reconstructions, the development of new models that tie extinction rates to phenotypic or environmental variation, or the implementation within a Bayesian framework of parametric non-stationary biogeographic models. Financial support came from MINECO, the Spanish Ministry of Economy and Competitiveness, project CGL2012-40129-C02-01 to IS, and from a Marie-Curie FP7–COFUND (AgreenSkills fellowship–26719) to AM. |
| Databáze: | OpenAIRE |
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