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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
08/08/2019 |
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Data da última atualização: |
08/08/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRÃO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. |
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Afiliação: |
Luís Felipe V. Ferrão, UFV; Eveline T. Caixeta, Embrapa Cafe; Cosme D. Cruz, UFV; Flávio F. de Souza, Embrapa Rondônia; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Laércio Zambolim, UFV; Ney S. Sakiyama, UFV. |
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Título: |
The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Plant Systematics and Evolution, New York v. 300, p.1649-1661, feb. 2014. |
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DOI: |
10.1007/s00606-014-09903 |
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Idioma: |
Português |
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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. MenosThe 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 st... Mostrar Tudo |
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Palavras-Chave: |
Café canéfora; Café conilon; Codominant markers; Coffee; Diversidade genética; Dominant markers Germplasm; Marcadores dominantes; SSR STRUCTURE. |
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Thesagro: |
Café; Coffea Canephora; Marcador molecular. |
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Categoria do assunto: |
-- |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3664/1/the-effects-enconding-ferrao.pdf
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Marc: |
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024 7 $a10.1007/s00606-014-09903$2DOI
100 1 $aFERRÃO, L. F. V.
245 $aThe effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers.$h[electronic resource]
260 $c2014
520 $aThe 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.
650 $aCafé
650 $aCoffea Canephora
650 $aMarcador molecular
653 $aCafé canéfora
653 $aCafé conilon
653 $aCodominant markers
653 $aCoffee
653 $aDiversidade genética
653 $aDominant markers Germplasm
653 $aMarcadores dominantes
653 $aSSR STRUCTURE
700 1 $aCAIXETA, E. T.
700 1 $aCRUZ, C. D.
700 1 $aSOUZA, F. de F.
700 1 $aFERRÃO, M. A. G.
700 1 $aZAMBOLIM, Z.
700 1 $aSAKIYAMA, N. S.
773 $tPlant Systematics and Evolution, New York$gv. 300, p.1649-1661, feb. 2014.
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Biblioteca Rui Tendinha (BRT) |
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| 1. |  | FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRÃO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers. Plant Systematics and Evolution, New York v. 300, p.1649-1661, feb. 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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