title: A population genomic approach to map recent positive selection in model species.
abstract: Based on nearly complete genome sequences from a variety of organisms data on naturally occurring genetic variation on the scale of hundreds of loci to entire genomes have been collected in recent years. In parallel, new statistical tests have been developed to infer evidence of recent positive selection from these data and to localize the target regions of selection in the genome. These methods have now been successfully applied to Drosophila melanogaster, humans, mice and a few plant species. In genomic regions of normal recombination rates, the targets of positive selection have been mapped down to the level of individual genes.
authors.affiliation: Department of Biology, Section of Evolutionary Biology, University of Munich, Grosshaderner Strasse 2, 82152 Planegg-Martinsried, Germany. pavlidis@zi.biologie.uni-muenchen.de
authors.forename: P
authors.initials: P
authors.lastname: Pavlidis
authors.forename: S
authors.initials: S
authors.lastname: Hutter
authors.forename: W
authors.initials: W
authors.lastname: Stephan
mesh_terms: D000818:Animals; D002874:Chromosome Mapping; D004331:Drosophila melanogaster / Q000235:genetics; D019143:Evolution, Molecular; D014644:Genetic Variation; D005828:Genetics, Population; D015894:Genome, Human; D049750:Genome, Insect; D018745:Genome, Plant; D023281:Genomics; D006801:Humans; D016013:Likelihood Functions; D051379:Mice; D008957:Models, Genetic; D012641:Selection, Genetic