Cargando…

Selection for complex traits leaves little or no classic signatures of selection

BACKGROUND: Selection signatures aim to identify genomic regions underlying recent adaptations in populations. However, the effects of selection in the genome are difficult to distinguish from random processes, such as genetic drift. Often associations between selection signatures and selected varia...

Descripción completa

Detalles Bibliográficos
Autores principales: Kemper, Kathryn E, Saxton, Sarah J, Bolormaa, Sunduimijid, Hayes, Benjamin J, Goddard, Michael E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3986643/
https://www.ncbi.nlm.nih.gov/pubmed/24678841
http://dx.doi.org/10.1186/1471-2164-15-246
_version_ 1782311746700050432
author Kemper, Kathryn E
Saxton, Sarah J
Bolormaa, Sunduimijid
Hayes, Benjamin J
Goddard, Michael E
author_facet Kemper, Kathryn E
Saxton, Sarah J
Bolormaa, Sunduimijid
Hayes, Benjamin J
Goddard, Michael E
author_sort Kemper, Kathryn E
collection PubMed
description BACKGROUND: Selection signatures aim to identify genomic regions underlying recent adaptations in populations. However, the effects of selection in the genome are difficult to distinguish from random processes, such as genetic drift. Often associations between selection signatures and selected variants for complex traits is assumed even though this is rarely (if ever) tested. In this paper, we use 8 breeds of domestic cattle under strong artificial selection to investigate if selection signatures are co-located in genomic regions which are likely to be under selection. RESULTS: Our approaches to identify selection signatures (haplotype heterozygosity, integrated haplotype score and F(ST)) identified strong and recent selection near many loci with mutations affecting simple traits under strong selection, such as coat colour. However, there was little evidence for a genome-wide association between strong selection signatures and regions affecting complex traits under selection, such as milk yield in dairy cattle. Even identifying selection signatures near some major loci was hindered by factors including allelic heterogeneity, selection for ancestral alleles and interactions with nearby selected loci. CONCLUSIONS: Selection signatures detect loci with large effects under strong selection. However, the methodology is often assumed to also detect loci affecting complex traits where the selection pressure at an individual locus is weak. We present empirical evidence to suggests little discernible ‘selection signature’ for complex traits in the genome of dairy cattle despite very strong and recent artificial selection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-246) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-3986643
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39866432014-04-30 Selection for complex traits leaves little or no classic signatures of selection Kemper, Kathryn E Saxton, Sarah J Bolormaa, Sunduimijid Hayes, Benjamin J Goddard, Michael E BMC Genomics Research Article BACKGROUND: Selection signatures aim to identify genomic regions underlying recent adaptations in populations. However, the effects of selection in the genome are difficult to distinguish from random processes, such as genetic drift. Often associations between selection signatures and selected variants for complex traits is assumed even though this is rarely (if ever) tested. In this paper, we use 8 breeds of domestic cattle under strong artificial selection to investigate if selection signatures are co-located in genomic regions which are likely to be under selection. RESULTS: Our approaches to identify selection signatures (haplotype heterozygosity, integrated haplotype score and F(ST)) identified strong and recent selection near many loci with mutations affecting simple traits under strong selection, such as coat colour. However, there was little evidence for a genome-wide association between strong selection signatures and regions affecting complex traits under selection, such as milk yield in dairy cattle. Even identifying selection signatures near some major loci was hindered by factors including allelic heterogeneity, selection for ancestral alleles and interactions with nearby selected loci. CONCLUSIONS: Selection signatures detect loci with large effects under strong selection. However, the methodology is often assumed to also detect loci affecting complex traits where the selection pressure at an individual locus is weak. We present empirical evidence to suggests little discernible ‘selection signature’ for complex traits in the genome of dairy cattle despite very strong and recent artificial selection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-246) contains supplementary material, which is available to authorized users. BioMed Central 2014-03-28 /pmc/articles/PMC3986643/ /pubmed/24678841 http://dx.doi.org/10.1186/1471-2164-15-246 Text en © Kemper et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Research Article
Kemper, Kathryn E
Saxton, Sarah J
Bolormaa, Sunduimijid
Hayes, Benjamin J
Goddard, Michael E
Selection for complex traits leaves little or no classic signatures of selection
title Selection for complex traits leaves little or no classic signatures of selection
title_full Selection for complex traits leaves little or no classic signatures of selection
title_fullStr Selection for complex traits leaves little or no classic signatures of selection
title_full_unstemmed Selection for complex traits leaves little or no classic signatures of selection
title_short Selection for complex traits leaves little or no classic signatures of selection
title_sort selection for complex traits leaves little or no classic signatures of selection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3986643/
https://www.ncbi.nlm.nih.gov/pubmed/24678841
http://dx.doi.org/10.1186/1471-2164-15-246
work_keys_str_mv AT kemperkathryne selectionforcomplextraitsleaveslittleornoclassicsignaturesofselection
AT saxtonsarahj selectionforcomplextraitsleaveslittleornoclassicsignaturesofselection
AT bolormaasunduimijid selectionforcomplextraitsleaveslittleornoclassicsignaturesofselection
AT hayesbenjaminj selectionforcomplextraitsleaveslittleornoclassicsignaturesofselection
AT goddardmichaele selectionforcomplextraitsleaveslittleornoclassicsignaturesofselection