Your browser doesn't support javascript.
loading
Eco-evolutionary dynamics in a coevolving host-virus system.
Frickel, Jens; Sieber, Michael; Becks, Lutz.
Afiliação
  • Frickel J; Community Dynamics Group, Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, 24306, Plön, Germany.
  • Sieber M; Institute of Biochemistry and Biology, Universität Potsdam, D-14469, Potsdam, Germany.
  • Becks L; Community Dynamics Group, Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, 24306, Plön, Germany.
Ecol Lett ; 19(4): 450-9, 2016 Apr.
Article em En | MEDLINE | ID: mdl-26898162
Eco-evolutionary dynamics have been shown to be important for understanding population and community stability and their adaptive potential. However, coevolution in the framework of eco-evolutionary theory has not been addressed directly. Combining experiments with an algal host and its viral parasite, and mathematical model analyses we show eco-evolutionary dynamics in antagonistic coevolving populations. The interaction between antagonists initially resulted in arms race dynamics (ARD) with selective sweeps, causing oscillating host-virus population dynamics. However, ARD ended and populations stabilised after the evolution of a general resistant host, whereas a trade-off between host resistance and growth then maintained host diversity over time (trade-off driven dynamics). Most importantly, our study shows that the interaction between ecology and evolution had important consequences for the predictability of the mode and tempo of adaptive change and for the stability and adaptive potential of populations.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chlorella / Phycodnaviridae / Evolução Biológica / Interações Hospedeiro-Patógeno / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chlorella / Phycodnaviridae / Evolução Biológica / Interações Hospedeiro-Patógeno / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article