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Detecting positive selection in the genome

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 di...

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Detalles Bibliográficos
Autores principales: Booker, Tom R., Jackson, Benjamin C., Keightley, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662103/
https://www.ncbi.nlm.nih.gov/pubmed/29084517
http://dx.doi.org/10.1186/s12915-017-0434-y
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author Booker, Tom R.
Jackson, Benjamin C.
Keightley, Peter D.
author_facet Booker, Tom R.
Jackson, Benjamin C.
Keightley, Peter D.
author_sort Booker, Tom R.
collection PubMed
description 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.
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spelling pubmed-56621032017-11-01 Detecting positive selection in the genome Booker, Tom R. Jackson, Benjamin C. Keightley, Peter D. BMC Biol Review 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. BioMed Central 2017-10-30 /pmc/articles/PMC5662103/ /pubmed/29084517 http://dx.doi.org/10.1186/s12915-017-0434-y Text en © Keightley et al. 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Booker, Tom R.
Jackson, Benjamin C.
Keightley, Peter D.
Detecting positive selection in the genome
title Detecting positive selection in the genome
title_full Detecting positive selection in the genome
title_fullStr Detecting positive selection in the genome
title_full_unstemmed Detecting positive selection in the genome
title_short Detecting positive selection in the genome
title_sort detecting positive selection in the genome
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662103/
https://www.ncbi.nlm.nih.gov/pubmed/29084517
http://dx.doi.org/10.1186/s12915-017-0434-y
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