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Detecting positive selection in the genome.
Booker, Tom R; Jackson, Benjamin C; Keightley, Peter D.
Afiliação
  • Booker TR; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, EH9 3FL, UK.
  • Jackson BC; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, EH9 3FL, UK.
  • Keightley PD; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, EH9 3FL, UK. peter.keightley@ed.ac.uk.
BMC Biol ; 15(1): 98, 2017 10 30.
Article em En | MEDLINE | ID: mdl-29084517
ABSTRACT
Population geneticists have long sought to understand the contribution of natural selection to molecular evolution. A variety of approaches have been proposed that use population genetics theory to quantify the rate and strength of positive selection acting in a species' genome. In this review we discuss methods that use patterns of between-species nucleotide divergence and within-species diversity to estimate positive selection parameters from population genomic data. We also discuss recently proposed methods to detect positive selection from a population's haplotype structure. The application of these tests has resulted in the detection of pervasive adaptive molecular evolution in multiple species.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Seleção Genética / Variação Genética / Genoma / Evolução Molecular / Genética Populacional Idioma: En Revista: BMC Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Seleção Genética / Variação Genética / Genoma / Evolução Molecular / Genética Populacional Idioma: En Revista: BMC Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido