Cargando…

Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping

BACKGROUND: The detection of signatures of selection in genomic regions provides insights into the evolutionary process, enabling discoveries regarding complex phenotypic traits. In this research, we focused on identifying genomic regions affected by different selection pressures, mainly highlightin...

Descripción completa

Detalles Bibliográficos
Autores principales: Santos, Wellington B., Schettini, Gustavo P., Maiorano, Amanda M., Bussiman, Fernando O., Balieiro, Júlio C. C., Ferraz, Guilherme C., Pereira, Guilherme L., Baldassini, Welder Angelo, Neto, Otávio R. M., Oliveira, Henrique N., Curi, Rogério A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515666/
https://www.ncbi.nlm.nih.gov/pubmed/34645387
http://dx.doi.org/10.1186/s12864-021-08053-8
_version_ 1784583659075928064
author Santos, Wellington B.
Schettini, Gustavo P.
Maiorano, Amanda M.
Bussiman, Fernando O.
Balieiro, Júlio C. C.
Ferraz, Guilherme C.
Pereira, Guilherme L.
Baldassini, Welder Angelo
Neto, Otávio R. M.
Oliveira, Henrique N.
Curi, Rogério A.
author_facet Santos, Wellington B.
Schettini, Gustavo P.
Maiorano, Amanda M.
Bussiman, Fernando O.
Balieiro, Júlio C. C.
Ferraz, Guilherme C.
Pereira, Guilherme L.
Baldassini, Welder Angelo
Neto, Otávio R. M.
Oliveira, Henrique N.
Curi, Rogério A.
author_sort Santos, Wellington B.
collection PubMed
description BACKGROUND: The detection of signatures of selection in genomic regions provides insights into the evolutionary process, enabling discoveries regarding complex phenotypic traits. In this research, we focused on identifying genomic regions affected by different selection pressures, mainly highlighting the recent positive selection, as well as understanding the candidate genes and functional pathways associated with the signatures of selection in the Mangalarga Marchador genome. Besides, we seek to direct the discussion about genes and traits of importance in this breed, especially traits related to the type and quality of gait, temperament, conformation, and locomotor system. RESULTS: Three different methods were used to search for signals of selection: Tajima’s D (TD), the integrated haplotype score (iHS), and runs of homozygosity (ROH). The samples were composed of males (n = 62) and females (n = 130) that were initially chosen considering well-defined phenotypes for gait: picada (n = 86) and batida (n = 106). All horses were genotyped using a 670 k Axiom® Equine Genotyping Array​ (Axiom MNEC670). In total, 27, 104 (chosen), and 38 candidate genes were observed within the signatures of selection identified in TD, iHS, and ROH analyses, respectively. The genes are acting in essential biological processes. The enrichment analysis highlighted the following functions: anterior/posterior pattern for the set of genes (GLI3, HOXC9, HOXC6, HOXC5, HOXC4, HOXC13, HOXC11, and HOXC10); limb morphogenesis, skeletal system, proximal/distal pattern formation, JUN kinase activity (CCL19 and MAP3K6); and muscle stretch response (MAPK14). Other candidate genes were associated with energy metabolism, bronchodilator response, NADH regeneration, reproduction, keratinization, and the immunological system. CONCLUSIONS: Our findings revealed evidence of signatures of selection in the MM breed that encompass genes acting on athletic performance, limb development, and energy to muscle activity, with the particular involvement of the HOX family genes. The genome of MM is marked by recent positive selection. However, Tajima’s D and iHS results point also to the presence of balancing selection in specific regions of the genome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08053-8.
format Online
Article
Text
id pubmed-8515666
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-85156662021-10-20 Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping Santos, Wellington B. Schettini, Gustavo P. Maiorano, Amanda M. Bussiman, Fernando O. Balieiro, Júlio C. C. Ferraz, Guilherme C. Pereira, Guilherme L. Baldassini, Welder Angelo Neto, Otávio R. M. Oliveira, Henrique N. Curi, Rogério A. BMC Genomics Research BACKGROUND: The detection of signatures of selection in genomic regions provides insights into the evolutionary process, enabling discoveries regarding complex phenotypic traits. In this research, we focused on identifying genomic regions affected by different selection pressures, mainly highlighting the recent positive selection, as well as understanding the candidate genes and functional pathways associated with the signatures of selection in the Mangalarga Marchador genome. Besides, we seek to direct the discussion about genes and traits of importance in this breed, especially traits related to the type and quality of gait, temperament, conformation, and locomotor system. RESULTS: Three different methods were used to search for signals of selection: Tajima’s D (TD), the integrated haplotype score (iHS), and runs of homozygosity (ROH). The samples were composed of males (n = 62) and females (n = 130) that were initially chosen considering well-defined phenotypes for gait: picada (n = 86) and batida (n = 106). All horses were genotyped using a 670 k Axiom® Equine Genotyping Array​ (Axiom MNEC670). In total, 27, 104 (chosen), and 38 candidate genes were observed within the signatures of selection identified in TD, iHS, and ROH analyses, respectively. The genes are acting in essential biological processes. The enrichment analysis highlighted the following functions: anterior/posterior pattern for the set of genes (GLI3, HOXC9, HOXC6, HOXC5, HOXC4, HOXC13, HOXC11, and HOXC10); limb morphogenesis, skeletal system, proximal/distal pattern formation, JUN kinase activity (CCL19 and MAP3K6); and muscle stretch response (MAPK14). Other candidate genes were associated with energy metabolism, bronchodilator response, NADH regeneration, reproduction, keratinization, and the immunological system. CONCLUSIONS: Our findings revealed evidence of signatures of selection in the MM breed that encompass genes acting on athletic performance, limb development, and energy to muscle activity, with the particular involvement of the HOX family genes. The genome of MM is marked by recent positive selection. However, Tajima’s D and iHS results point also to the presence of balancing selection in specific regions of the genome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08053-8. BioMed Central 2021-10-14 /pmc/articles/PMC8515666/ /pubmed/34645387 http://dx.doi.org/10.1186/s12864-021-08053-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Santos, Wellington B.
Schettini, Gustavo P.
Maiorano, Amanda M.
Bussiman, Fernando O.
Balieiro, Júlio C. C.
Ferraz, Guilherme C.
Pereira, Guilherme L.
Baldassini, Welder Angelo
Neto, Otávio R. M.
Oliveira, Henrique N.
Curi, Rogério A.
Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title_full Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title_fullStr Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title_full_unstemmed Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title_short Genome-wide scans for signatures of selection in Mangalarga Marchador horses using high-throughput SNP genotyping
title_sort genome-wide scans for signatures of selection in mangalarga marchador horses using high-throughput snp genotyping
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515666/
https://www.ncbi.nlm.nih.gov/pubmed/34645387
http://dx.doi.org/10.1186/s12864-021-08053-8
work_keys_str_mv AT santoswellingtonb genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT schettinigustavop genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT maioranoamandam genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT bussimanfernandoo genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT balieirojuliocc genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT ferrazguilhermec genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT pereiraguilhermel genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT baldassiniwelderangelo genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT netootaviorm genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT oliveirahenriquen genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping
AT curirogerioa genomewidescansforsignaturesofselectioninmangalargamarchadorhorsesusinghighthroughputsnpgenotyping