Data/hora: 10/06/2024 14:14:54

Provedor de dados: 	Pesquisa Agropecuária Brasileira	
País: 	Brazil	
Título: 	Detection and evaluation of selection signatures in sheep	
Autores: 	Paim,Tiago do Prado; Ianella,Patrícia; Paiva,Samuel Rezende; Caetano,Alexandre Rodrigues; Pimentel,Concepta Margaret McManus.	
Data: 	2018-05-01	
Ano: 	2018	
Palavras-chave: 	Ovis aries; Analysis software; Animal genetic resources; Genetic improvement; Genomics; Molecular genetics; SNP markers.	
Resumo: 	Abstract: The recent development of genome-wide single nucleotide polymorphism (SNP) arrays made it possible to carry out several studies with different species. The selection process can increase or reduce allelic (or genic) frequencies at specific loci in the genome, besides dragging neighboring alleles in the chromosome. This way, genomic regions with increased frequencies of specific alleles are formed, caracterizing selection signatures or selective sweeps. The detection of these signatures is important to characterize genetic resources, as well as to identify genes or regions involved in the control and expression of important production and economic traits. Sheep are an important species for theses studies as they are dispersed worldwide and have great phenotypic diversity. Due to the large amounts of genomic data generated, specific statistical methods and softwares are necessary for the detection of selection signatures. Therefore, the objectives of this review are to address the main statistical methods and softwares currently used for the analysis of genomic data and the identification of selection signatures; to describe the results of recent works published on selection signatures in sheep; and to discuss some challenges and opportunities in this research field.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000500527	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s0100-204x2018000500001	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.53 n.5 2018	
Fonte: 	info:eu-repo/semantics/openAccess