Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/981805
Unidade da Embrapa/Coleção:: Embrapa Semiárido - Artigo em periódico indexado (ALICE)
Data do documento: 7-Mar-2014
Tipo do Material: Artigo em periódico indexado (ALICE)
Autoria: FERRÃO, L. F. V.
CAIXETA, E. T.
CRUZ, C. D.
SOUZA, F. de F.
FERRAO, M. A. G.
ZAMBOLIM, Z.
SAKIYAMA, N. S.
Informaçães Adicionais: L. F. V. Ferrão, Universidade Federal de Viçosa; E. T. Caixeta, BIOCAFÉ, Universidade Federal de Viçosa; C. D. Cruz, Universidade Federal de Viçosa; FLAVIO DE FRANCA SOUZA, CPATSA; MARIA AMELIA GAVA FERRAO, SAPC; L. Zambolim, Universidade Federal de Viçosa; N. S. Sakiyama, Universidade Federal de Viçosa.
Título: The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers.
Edição: 2014
Fonte/Imprenta: Plant Systematics and Evolution, New York, v. 300, p.1649-1661, feb. 2014.
Idioma: en
Palavras-chave: Codominant markers
Coffea canephora
Dominant markers Germplasm
SSR STRUCTURE
Café canéfora
Café conilon
Marcadores dominantes
Conteúdo: The use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as microsatellites (SSR), are sensitive enough to distinguish the heterozygotes in genetic studies. Despite this advantage, there are some studies that ignore this feature and work with encoded data because of the simplicity of the evaluation, existence of polyploids and need for the combined analysis of different types of molecular markers. Thus, our study aims to investigate the consequences of these encodings on simulated and real data. In addition, we suggest an alternative analysis for genetic evaluations using different molecular markers. For the simulated data, we proposed the following two scenarios: the first uses SNP markers, and the second SSR markers. For real data, we used the SSR genotyping data from Coffea canephora accessions maintained in the Embrapa Germplasm Collection. The genetic diversity was studied using cluster analysis, the dissimilarity index, and the Bayesian approach implemented in the STRUCTURE software. For the simulated data, we observed a loss of genetic information to the encoded data in both scenarios. The same result was observed in the coffee studies. This loss of information was discussed in the context of a plantbreeding program, and the consequences were weighted to germplasm evaluations and the selection of parents for hybridization. In the studies that involved different types of markers, an alternative to the combined analysis is discussed, where the informativeness, coverage and quality of markers are weighted in the genetic diversity studies.
Thesagro: Café
Marcador molecular
Diversidade genética
NAL Thesaurus: Coffee
Ano de Publicação: 2014
Aparece nas coleções:Artigo em periódico indexado (CPATSA)

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