Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata

Author:

Leempoel Kevin1ORCID,Parisod Christian23ORCID,Geiser Céline2,Joost Stéphane1ORCID

Affiliation:

1. Laboratory of Geographic Information Systems (LASIG); School of Civil and Environmental Engineering (ENAC); École Polytechnique Fédérale de Lausanne (EPFL); Lausanne Switzerland

2. Laboratory of Evolutionary Botany; University of Neuchâtel; Neuchâtel Switzerland

3. Institute of Plant Sciences; University of Bern; Bern Switzerland

Funder

Velux Stiftung

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference47 articles.

1. Bates , D. Maechler , M. 2009 lme4: Linear mixed-effects models using {S4} classes.{R} package version 0.999375-32

2. A physically based, variable contributing area model of basin hydrology/Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant;Beven;Hydrological Sciences Bulletin,1979

3. Generalized linear mixed models: A practical guide for ecology and evolution;Bolker;Trends in Ecology & Evolution,2009

4. Explorative genome scan to detect candidate loci for adaptation along a gradient of altitude in the common frog (Rana temporaria);Bonin;Molecular Biology and Evolution,2006

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