Home LiteratureArticle Details
PMID: 18627454 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

A population genomic approach to map recent positive selection in model species.

Molecular ecology ·Vol. 17 ·No. 16 ·2008-08-00 ·Pages 3585-98

Pavlidis P, Hutter S, Stephan W

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.

MeSH Terms
Animals Chromosome Mapping Drosophila melanogaster/genetics Evolution, Molecular Genetic Variation Genetics, Population Genome, Human Genome, Insect Genome, Plant Genomics Humans Likelihood Functions Mice Models, Genetic Selection, Genetic
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Pavlidis P
Department of Biology, Section of Evolutionary Biology, University of Munich, Grosshaderner Strasse 2, 82152 Planegg-Martinsried, Germany. pavlidis@zi.biologie.uni-muenchen.de
Hutter S
Stephan W
Article Info
Journal
Molecular ecology
Abbr.
Mol Ecol
ISSN
1365-294X
Published
2008-08-00
Pages
3585-98
Language
English
Region
England
NLM ID
9214478
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com