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Unraveling coevolutionary dynamics using ecological genomics.
Amandine, Cornille; Ebert, Dieter; Stukenbrock, Eva; Rodríguez de la Vega, Ricardo C; Tiffin, Peter; Croll, Daniel; Tellier, Aurélien.
Afiliação
  • Amandine C; Université Paris Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190 Gif-sur-Yvette, France. Electronic address: amandine.cornille@cnrs.fr.
  • Ebert D; Department of Environmental Sciences, Zoology, University of Basel, Vesalgasse 1, 4051 Basel, Switzerland.
  • Stukenbrock E; Max Planck Institute for Terrestrial Microbiology, Max Planck Research Group, Fungal Biodiversity, Marburg, Germany.
  • Rodríguez de la Vega RC; Ecologie Systematique Evolution, Université Paris Saclay, CNRS, AgroParisTech, Université Paris-Saclay, Orsay, France.
  • Tiffin P; Department of Plant and Microbial Biology, 250 Biological Sciences, 1445 Gortner Ave., University of Minnesota, Saint Paul, MN 55108, USA.
  • Croll D; Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, 2000 Neuchâtel, Switzerland. Electronic address: daniel.croll@unine.ch.
  • Tellier A; Population Genetics, Department of Life Science Systems, Technical University of Munich, Liesel-Beckman-Str. 2, 85354 Freising, Germany. Electronic address: aurelien.tellier@tum.de.
Trends Genet ; 38(10): 1003-1012, 2022 10.
Article em En | MEDLINE | ID: mdl-35715278
ABSTRACT
Coevolutionary interactions, from the delicate co-dependency in mutualistic interactions to the antagonistic relationship of hosts and parasites, are a ubiquitous driver of adaptation. Surprisingly, little is known about the genomic processes underlying coevolution in an ecological context. However, species comprise genetically differentiated populations that interact with temporally variable abiotic and biotic environments. We discuss the recent advances in coevolutionary theory and genomics as well as shortcomings, to identify coevolving genes that take into account this spatial and temporal variability of coevolution, and propose a practical guide to understand the dynamic of coevolution using an ecological genomics lens.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Evolução Biológica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Evolução Biológica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article