Detecting selection along environmental gradients: Analysis of eight methods and their effectiveness for outbreeding and selfing populations

Molecular Ecology

Volumn 22, Issue 5, 2013, Pages 1383-1399

  De Mita, Stéphane ^a,b   Thuillet, Anne Céline ^a   Gay, Laurène ^c   Ahmadi, Nourollah ^d   Manel, Stéphanie ^e   Ronfort, Joëlle ^d   Vigouroux, Yves ^a  

^a INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^b UNIVERSITÉ DE LORRAINE   (France)

^c UMR AGAP   (France)

^d CIRAD   (France)

^e Aix Marseille University Marseille   (France)

Author keywords

adaptation; Bayesian methods; detection of selection; F ST; genome scan

Indexed keywords

ADAPTATION; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; ENVIRONMENT; GENE LOCUS; GENETIC DATABASE; GENETIC DRIFT; GENETIC SELECTION; GENETIC VARIABILITY; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; POPULATION GENETICS; STATISTICAL MODEL;

ADAPTATION, PHYSIOLOGICAL; DATABASES, GENETIC; ENVIRONMENT; GENE-ENVIRONMENT INTERACTION; GENETIC DRIFT; GENETIC LOCI; GENETIC VARIATION; GENETICS, POPULATION; GENOTYPE; LOGISTIC MODELS; MODELS, GENETIC; SELECTION, GENETIC;

EID: 84874409839     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/mec.12182     Document Type: Article

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