Data/hora: 21/09/2024 17:50:12

Biblioteca(s): 	Embrapa Roraima.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 2	
Data corrente: 	15/09/2021	
Data da última atualização: 	15/09/2021	
Autoria: 	McMANUS, C.; PAIVA, S. R.; CAETANO, A. R.; HERMUCHE, P.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; BRAGA, R. M.; CARNEIRO, P. L. S.; MORAES, J. C. F.; SOUZA, C. J. H. de; FACO, O.; SANTOS, S. A.; AZEVEDO, H. C.; ARAUJO, A. M. de; FAÇANHA, D. A. E.; IANELLA, P.	
Afiliação: 	CONCEPTA MCMANUS, Universidade de Brasília (UnB) - Brasília, DF, Brazil; SAMUEL REZENDE PAIVA, Cenargen; ALEXANDRE RODRIGUES CAETANO, Cenargen; POTIRA HERMUCHE, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RENATO FONTES GUIMARÃES, Universidade de Brasília (UnB) - Brasília, DF, Brazil; OSMAR ABILIO CARVALHO JUNIOR, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RAMAYANA MENEZES BRAGA, CPAF-RR; PAULO LUIZ SOUZA CARNEIRO, Universidade Estadual Do Sudoeste da Bahia (UESB) - Vitória da Conquista - BA, Brazil; JOSE CARLOS FERRUGEM MORAES, CPPSUL; CARLOS JOSE HOFF DE SOUZA; OLIVARDO FACO, CNPC; SANDRA APARECIDA SANTOS; HYMERSON COSTA AZEVEDO, CPATC; ADRIANA MELLO DE ARAUJO, CPAMN; DEBORA ANDRÉA E. FAÇANHA, Federal Rural University of the Semi-arid Region (UFERSA) - Mossoró, RN, Brazil; PATRICIA IANELLA, Cenargen.	
Título: 	Landscape genetics of sheep in Brazil using SNP markers.	
Ano de publicação: 	2020	
Fonte/Imprenta: 	Small Ruminant Research, v. 192, e106239, 2020.	
DOI: 	https://doi.org/10.1016/j.smallrumres.2020.106239	
Idioma: 	Inglês	
Conteúdo: 	Abstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P <0.00099). Observed AAIA results (Rave =0.16, P <0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variability in future germplasm samplings for conservation of genetic resources.	
Palavras-Chave: 	Delaunay triangulation; Genetic landscape shape; Mantel.	
Thesaurus Nal: 	Brazil; Genetic polymorphism; Germplasm conservation; Sampling; Sheep; Sheep breeds; Single nucleotide polymorphism.	
Categoria do assunto: 	G Melhoramento Genético	
Registro original: 	Embrapa Roraima (CPAF-RR)	
Exemplares: 	CPAF-RR - (16179-1) - UPC - AP - DD -  -  -  - DIS