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Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle
BACKGROUND: This study aimed at (1) assessing the genomic stratification of experimental lines of Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying genomic regions that have undergone recent selection. We used a sample of 763 animals genotyped wit...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930444/ https://www.ncbi.nlm.nih.gov/pubmed/29720080 http://dx.doi.org/10.1186/s12711-018-0381-2 |
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author | Cardoso, Diercles F. de Albuquerque, Lucia Galvão Reimer, Christian Qanbari, Saber Erbe, Malena do Nascimento, André V. Venturini, Guilherme C. Scalez, Daiane C. Becker Baldi, Fernando de Camargo, Gregório M. Ferreira Mercadante, Maria E. Zerlotti do Santos Gonçalves Cyrillo, Joslaine N. Simianer, Henner Tonhati, Humberto |
author_facet | Cardoso, Diercles F. de Albuquerque, Lucia Galvão Reimer, Christian Qanbari, Saber Erbe, Malena do Nascimento, André V. Venturini, Guilherme C. Scalez, Daiane C. Becker Baldi, Fernando de Camargo, Gregório M. Ferreira Mercadante, Maria E. Zerlotti do Santos Gonçalves Cyrillo, Joslaine N. Simianer, Henner Tonhati, Humberto |
author_sort | Cardoso, Diercles F. |
collection | PubMed |
description | BACKGROUND: This study aimed at (1) assessing the genomic stratification of experimental lines of Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying genomic regions that have undergone recent selection. We used a sample of 763 animals genotyped with the Illumina BovineHD BeadChip, among which 674 animals originated from two lines that are maintained under directional selection for increased yearling body weight and 89 animals from a control line that is maintained under stabilizing selection. RESULTS: Multidimensional analysis of the genomic dissimilarity matrix and admixture analysis revealed a substantial level of population stratification between the directional selection lines and the stabilizing selection control line. Two of the three tests used to detect selection signatures (F(ST), XP-EHH and iHS) revealed six candidate regions with indications of selection, which strongly indicates truly positive signals. The set of identified candidate genes included several genes with roles that are functionally related to growth metabolism, such as COL14A1, CPT1C, CRH, TBC1D1, and XKR4. CONCLUSIONS: The current study identified genetic stratification that resulted from almost four decades of divergent selection in an experimental Nelore population, and highlighted autosomal genomic regions that present patterns of recent selection. Our findings provide a basis for a better understanding of the metabolic mechanism that underlies the growth traits, which are modified by selection for yearling body weight. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12711-018-0381-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5930444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59304442018-05-09 Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle Cardoso, Diercles F. de Albuquerque, Lucia Galvão Reimer, Christian Qanbari, Saber Erbe, Malena do Nascimento, André V. Venturini, Guilherme C. Scalez, Daiane C. Becker Baldi, Fernando de Camargo, Gregório M. Ferreira Mercadante, Maria E. Zerlotti do Santos Gonçalves Cyrillo, Joslaine N. Simianer, Henner Tonhati, Humberto Genet Sel Evol Research Article BACKGROUND: This study aimed at (1) assessing the genomic stratification of experimental lines of Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying genomic regions that have undergone recent selection. We used a sample of 763 animals genotyped with the Illumina BovineHD BeadChip, among which 674 animals originated from two lines that are maintained under directional selection for increased yearling body weight and 89 animals from a control line that is maintained under stabilizing selection. RESULTS: Multidimensional analysis of the genomic dissimilarity matrix and admixture analysis revealed a substantial level of population stratification between the directional selection lines and the stabilizing selection control line. Two of the three tests used to detect selection signatures (F(ST), XP-EHH and iHS) revealed six candidate regions with indications of selection, which strongly indicates truly positive signals. The set of identified candidate genes included several genes with roles that are functionally related to growth metabolism, such as COL14A1, CPT1C, CRH, TBC1D1, and XKR4. CONCLUSIONS: The current study identified genetic stratification that resulted from almost four decades of divergent selection in an experimental Nelore population, and highlighted autosomal genomic regions that present patterns of recent selection. Our findings provide a basis for a better understanding of the metabolic mechanism that underlies the growth traits, which are modified by selection for yearling body weight. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12711-018-0381-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-02 /pmc/articles/PMC5930444/ /pubmed/29720080 http://dx.doi.org/10.1186/s12711-018-0381-2 Text en © The Author(s) 2018 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 | Research Article Cardoso, Diercles F. de Albuquerque, Lucia Galvão Reimer, Christian Qanbari, Saber Erbe, Malena do Nascimento, André V. Venturini, Guilherme C. Scalez, Daiane C. Becker Baldi, Fernando de Camargo, Gregório M. Ferreira Mercadante, Maria E. Zerlotti do Santos Gonçalves Cyrillo, Joslaine N. Simianer, Henner Tonhati, Humberto Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title | Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title_full | Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title_fullStr | Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title_full_unstemmed | Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title_short | Genome-wide scan reveals population stratification and footprints of recent selection in Nelore cattle |
title_sort | genome-wide scan reveals population stratification and footprints of recent selection in nelore cattle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930444/ https://www.ncbi.nlm.nih.gov/pubmed/29720080 http://dx.doi.org/10.1186/s12711-018-0381-2 |
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