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Livestock Science
journal homepage: www.elsevier.com/locate/livsci
Genome-wide search for signatures of selection in three major Brazilian
locally adapted sheep breeds
João José de Simoni Gouveia
a,b,
⁎
, Samuel Rezende Paiva
c
, Concepta M. McManus
d
, Alexandre
Rodrigues Caetano
e
, James W. Kijas
f
, Olivardo Facó
g
, Hymerson Costa Azevedo
h
, Adriana
Mello de Araujo
i
, Carlos José Hoff de Souza
j
, Michel Eduardo B. Yamagishi
k
, Paulo Luiz
Souza Carneiro
l
, Raimundo Nonato Braga Lôbo
g
, Sônia Maria Pinheiro de Oliveira
m
, Marcos
Vinicius G.B. da Silva
n
a
Colegiado Acadêmico de Zootecnia, Universidade Federal do Vale do São Francisco, Petrolina/PE 56300-000, Brazil
b
Programa de Doutorado Integrado em Zootecnia (PDIZ-UFC/UFPB/UFRPE), Universidade Federal do Ceará, Fortaleza/CE 60020-181, Brazil
c
Secretaria de Relações Internacionais, Embrapa Sede, Brasília/DF 70770-901, Brazil
d
INCT Pecuária, Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Brasília/DF 70910-900, Brazil
e
Embrapa Recursos Genéticos e Biotecnologia, Brasília/DF 70770-917, Brazil
f
CSIRO Animal, Food and Health Sciences, St Lucia, Brisbane, Queensland 4067, Australia
g
Embrapa Caprinos e Ovinos, Sobral/CE 62011-970, Brazil
h
Embrapa Tabuleiros Costeiros, Aracaju/SE 49025-040, Brazil
i
Embrapa Meio-Norte, Teresina/PI 64006-220, Brazil
j
Embrapa Pecuária Sul, Bagé/RS 96401-970, Brazil
k
Embrapa Informática Agropecuária, Campinas/SP 13083-970, Brazil
l
Departamento de Ciências Biológicas, Universidade Estadual do Sudoeste da Bahia, Jequié/BA 45200-000, Brazil
m
Departamento de Zootecnia, Universidade Federal do Ceará, Fortaleza/CE 60020-181, Brazil
n
Embrapa Gado de Leite, Juiz de Fora/MG 36038-330, Brazil
ARTICLE INFO
Keywords:
Ovis aries
Selective sweep
Climate change
Conservation animal genetic resources
SNP markers
ABSTRACT
The study of locally adapted breeds has the potential to underpin the discovery of genes involved in
economically and ecologically important traits. Brazilian locally adapted sheep breeds have distinctive
characteristics that could be of value for specialized production systems. Therefore, the main objective of the
present study was to identify genomic regions that may have been under selection and therefore may explain
ecological and production differences observed among three important Brazilian locally adapted sheep breeds.
Animals from the Brazilian Creole, Morada Nova and Santa Ines breeds were genotyped using the Illumina
Ovine SNP50 BeadChip. The identification of selection signatures was based on two groups of methodologies:
differentiation among populations (F
ST
) and linkage disequilibrium (iHS and RsB). Taken together, these
analyses allowed for the identification of 86 candidate genes. Functional analysis revealed genes related to
immunity, nervous system development, reproduction and sensory perception. A number of genes are of
particular interest including: RXFP2, which has recently been associated with the presence/absence and
morphology of horns in sheep; the TRPM8 gene, involved in regulation of body temperature at low
temperatures; DIS3L2, PLAG1 and NIPBL, associated with height variation; and finally, SPEF2 and SPAG6,
important for spermatogenesis. Selective sweeps were identified using multiple methods, and in a number of
cases sweep regions contained genes with a demonstrated role in phenotypic variation. The genomic
distribution of the sweep regions differed between populations, suggesting that breed specific signatures were
successfully identified that may reflect the consequence of local adaptation.
1. Introduction
Identification of genomic regions subject to selection in livestock
may assist in both understanding the processes involved in genome
evolution as well as in the discovery and validation of genomic regions
involved in the manifestation of traits of economic and ecological
http://dx.doi.org/10.1016/j.livsci.2017.01.006
Received 3 March 2016; Received in revised form 5 January 2017; Accepted 6 January 2017
⁎
Corresponding author at: Colegiado Acadêmico de Zootecnia, Universidade Federal do Vale do São Francisco, Petrolina/PE 56300-000, Brazil.
E-mail address: joao.gouveia@univasf.edu.br (J.J. de Simoni Gouveia).
Livestock Science 197 (2017) 36–45
1871-1413/ © 2017 Elsevier B.V. All rights reserved.
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