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
DOI: 10.3389/fgene.2016.00035
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