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Registro Completo |
Biblioteca(s): |
Embrapa Café; Embrapa Rondônia; Embrapa Semiárido. |
Data corrente: |
20/02/2014 |
Data da última atualização: |
29/09/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRAO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. |
Afiliação: |
L. F. V. Ferrão, Universidade Federal de Viçosa; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; 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. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Plant Systematics and Evolution, v. 300, n. 7, p. 1649-1661, 2014. |
DOI: |
10.1007/s00606-014-09903 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Café canéfora; Café conilon; Codominant markers; Coffee; Diversidade genética; Dominant markers Germplasm; Marcadores dominantes; SSR STRUCTURE. |
Thesagro: |
Café; Coffea Canephora; Marcador molecular. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216289/1/Ferrao-et-al.-2014-1.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/121101/1/Flavio.cpatsa.2014.pdf
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Marc: |
LEADER 02768naa a2200337 a 4500 001 2125174 005 2020-09-29 008 2014 bl uuuu u00u1 u #d 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 $aFERRAO, M. A. G. 700 1 $aZAMBOLIM, Z. 700 1 $aSAKIYAMA, N. S. 773 $tPlant Systematics and Evolution$gv. 300, n. 7, p. 1649-1661, 2014.
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Registro original: |
Embrapa Café (CNPCa) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Hortaliças. Para informações adicionais entre em contato com cnph.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
18/10/1994 |
Data da última atualização: |
18/10/1994 |
Autoria: |
QUEZADO-SOARES, A.M.; LOPES, C. A. |
Afiliação: |
EMBRAPA-CNPH. |
Título: |
Resistencia de genotipos de tomateiro a Pseudomonas solanacearum biovares I e III. |
Ano de publicação: |
1994 |
Fonte/Imprenta: |
Horticultura Brasileira, Brasilia, v.12, n.1, p.97, maio 1994. |
ISSN: |
0102-0536 |
Idioma: |
Português |
Notas: |
Resumo. |
Palavras-Chave: |
Disease; Pseudomonas solanacearum; Resistance; Tomato. |
Thesagro: |
Bactéria; Cerrado; Doença; Lycopersicon Esculentum; Resistência; Tomate. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00718naa a2200265 a 4500 001 1752069 005 1994-10-18 008 1994 bl uuuu u00u1 u #d 022 $a0102-0536 100 1 $aQUEZADO-SOARES, A.M. 245 $aResistencia de genotipos de tomateiro a Pseudomonas solanacearum biovares I e III. 260 $c1994 500 $aResumo. 650 $aBactéria 650 $aCerrado 650 $aDoença 650 $aLycopersicon Esculentum 650 $aResistência 650 $aTomate 653 $aDisease 653 $aPseudomonas solanacearum 653 $aResistance 653 $aTomato 700 1 $aLOPES, C. A. 773 $tHorticultura Brasileira, Brasilia$gv.12, n.1, p.97, maio 1994.
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