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Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle

Highlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities...

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Autores principales: Cardoso, Diercles Francisco, Fernandes Júnior, Gerardo Alves, Scalez, Daiane Cristina Becker, Alves, Anderson Antonio Carvalho, Magalhães, Ana Fabrícia Braga, Bresolin, Tiago, Ventura, Ricardo Vieira, Li, Changxi, de Sena Oliveira, Márcia Cristina, Porto-Neto, Laercio Ribeiro, Carvalheiro, Roberto, de Oliveira, Henrique Nunes, Tonhati, Humberto, Albuquerque, Lucia Galvão
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260210/
https://www.ncbi.nlm.nih.gov/pubmed/32471998
http://dx.doi.org/10.1038/s41598-020-65565-1
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author Cardoso, Diercles Francisco
Fernandes Júnior, Gerardo Alves
Scalez, Daiane Cristina Becker
Alves, Anderson Antonio Carvalho
Magalhães, Ana Fabrícia Braga
Bresolin, Tiago
Ventura, Ricardo Vieira
Li, Changxi
de Sena Oliveira, Márcia Cristina
Porto-Neto, Laercio Ribeiro
Carvalheiro, Roberto
de Oliveira, Henrique Nunes
Tonhati, Humberto
Albuquerque, Lucia Galvão
author_facet Cardoso, Diercles Francisco
Fernandes Júnior, Gerardo Alves
Scalez, Daiane Cristina Becker
Alves, Anderson Antonio Carvalho
Magalhães, Ana Fabrícia Braga
Bresolin, Tiago
Ventura, Ricardo Vieira
Li, Changxi
de Sena Oliveira, Márcia Cristina
Porto-Neto, Laercio Ribeiro
Carvalheiro, Roberto
de Oliveira, Henrique Nunes
Tonhati, Humberto
Albuquerque, Lucia Galvão
author_sort Cardoso, Diercles Francisco
collection PubMed
description Highlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N = 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via F(ST) and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77–65.25 Mb) and 14 (22.81–23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with F(ST) and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomic similarity between Angus subpopulations, with noticeable signals of divergent selection in genomic regions associated with the adaptation in different environments.
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spelling pubmed-72602102020-06-05 Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle Cardoso, Diercles Francisco Fernandes Júnior, Gerardo Alves Scalez, Daiane Cristina Becker Alves, Anderson Antonio Carvalho Magalhães, Ana Fabrícia Braga Bresolin, Tiago Ventura, Ricardo Vieira Li, Changxi de Sena Oliveira, Márcia Cristina Porto-Neto, Laercio Ribeiro Carvalheiro, Roberto de Oliveira, Henrique Nunes Tonhati, Humberto Albuquerque, Lucia Galvão Sci Rep Article Highlighting genomic profiles for geographically distinct subpopulations of the same breed may provide insights into adaptation mechanisms to different environments, reveal genomic regions divergently selected, and offer initial guidance to joint genomic analysis. Here, we characterized similarities and differences between the genomic patterns of Angus subpopulations, born and raised in Canada (N = 382) and Brazil (N = 566). Furthermore, we systematically scanned for selection signatures based on the detection of autozygosity islands common between the two subpopulations, and signals of divergent selection, via F(ST) and varLD tests. The principal component analysis revealed a sub-structure with a close connection between the two subpopulations. The averages of genomic relationships, inbreeding coefficients, and linkage disequilibrium at varying genomic distances were rather similar across them, suggesting non-accentuated differences in overall genomic diversity. Autozygosity islands revealed selection signatures common to both subpopulations at chromosomes 13 (63.77–65.25 Mb) and 14 (22.81–23.57 Mb), which are notably known regions affecting growth traits. Nevertheless, further autozygosity islands along with F(ST) and varLD tests unravel particular sites with accentuated population subdivision at BTAs 7 and 18 overlapping with known QTL and candidate genes of reproductive performance, thermoregulation, and resistance to infectious diseases. Our findings indicate overall genomic similarity between Angus subpopulations, with noticeable signals of divergent selection in genomic regions associated with the adaptation in different environments. Nature Publishing Group UK 2020-05-29 /pmc/articles/PMC7260210/ /pubmed/32471998 http://dx.doi.org/10.1038/s41598-020-65565-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cardoso, Diercles Francisco
Fernandes Júnior, Gerardo Alves
Scalez, Daiane Cristina Becker
Alves, Anderson Antonio Carvalho
Magalhães, Ana Fabrícia Braga
Bresolin, Tiago
Ventura, Ricardo Vieira
Li, Changxi
de Sena Oliveira, Márcia Cristina
Porto-Neto, Laercio Ribeiro
Carvalheiro, Roberto
de Oliveira, Henrique Nunes
Tonhati, Humberto
Albuquerque, Lucia Galvão
Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title_full Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title_fullStr Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title_full_unstemmed Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title_short Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle
title_sort uncovering sub-structure and genomic profiles in across-countries subpopulations of angus cattle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260210/
https://www.ncbi.nlm.nih.gov/pubmed/32471998
http://dx.doi.org/10.1038/s41598-020-65565-1
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