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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
05/06/2014 |
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Data da última atualização: |
05/06/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VILLELA, A. T.; ANTUNES, I. F.; EICHHOLZ, C. J.; FEIJÓ, C. T.; BEVILAQUA, G. A. P.; GREHS, R. C. |
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Afiliação: |
Alexandre Terracciano Villela, UFPEL; IRAJA FERREIRA ANTUNES, CPACT; Claiton Joel Eichholz, UFPEL; Cristíane Tavares Feijó, UFPEL; GILBERTO ANTONIO P BEVILAQUA, CPACT; RAUL CELSO GREHS, CPACT. |
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Título: |
Biodlversity score and its effects on common bean (Phaseolus vulgaris L.) crop genetic diversity. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Annual Report of the Bean Improvement Cooperative, Prosser, WA, n. 57, p. 259-260, March 2014. |
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Idioma: |
Português |
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Thesagro: |
Soja. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/103210/1/digitalizar0039.pdf
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Marc: |
LEADER 00601naa a2200181 a 4500
001 1987768
005 2014-06-05
008 2014 bl uuuu u00u1 u #d
100 1 $aVILLELA, A. T.
245 $aBiodlversity score and its effects on common bean (Phaseolus vulgaris L.) crop genetic diversity.$h[electronic resource]
260 $c2014
650 $aSoja
700 1 $aANTUNES, I. F.
700 1 $aEICHHOLZ, C. J.
700 1 $aFEIJÓ, C. T.
700 1 $aBEVILAQUA, G. A. P.
700 1 $aGREHS, R. C.
773 $tAnnual Report of the Bean Improvement Cooperative, Prosser, WA$gn. 57, p. 259-260, March 2014.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
14/03/2017 |
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Data da última atualização: |
27/11/2023 |
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Tipo da produção científica: |
Orientação de Tese de Pós-Graduação |
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Autoria: |
VIEIRA, N. G. |
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Afiliação: |
NATALIA GOMES VIEIRA. |
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Título: |
Identificação e caracterização de genes órfãos ('NO HITS') de café (Coffea spp.). |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
2013. |
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Páginas: |
130 p. |
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Descrição Física: |
il. |
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Idioma: |
Português |
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Notas: |
Dissertação (mestrado em Biotecnologia Vegetal) - Universidade Federal de Lavras, Lavras, MG. Orientador: Alan Carvalho de Andrade, Embrapa Recursos Genéticos e Biotecnologia. Coorientador: Pierre Marraccini. |
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Conteúdo: |
Coffee is one of the most important agricultural commodities worldwide. Breeding programs aimed at introducing new characters to produce novel varieties with superior agronomic traits, such as, uniform flowering, yield, grain size, beverage quality, lower caffeine content, as well as, disease and drought resistance have been ongoing for several decades. However, with a large number of gene sequences available in Coffea spp. databases, the identification and characterization of novel genes with unknown function (no hits) are feasible and necessary. The aim of this study was to identify and functionally characterize no hits found in coffee databases, using in silico analysis and qPCR gene expression. For in silico analyses, no hits were identified by similarity search in NCBI databases. Coffea arabica and Coffea canephora libraries from different tissues were generated by sequencing data using the Sanger and 454 methods. We performed an electronic Northern search of the no hits in the coffee libraries. Plant material, for qPCR assays, was obtained from different tissues (leaves, roots, fruits and meristems) of the species C. arabica and C. canephora subjected to different biological conditions (biotic and abiotic stresses) and fruits at early, intermediate and late development stages. As a result, in silico analyzes identified and characterized 1.568 orphan genes in accordance with the libraries in which they were expressed. Therefore, we selected and performed qPCR of 17 orphan genes potentially involved in tolerance to biotic and abiotic stresses, as well as, orphan genes involved in coffee fruit development. These genes responded differentially in tissues and with biological conditions, confirming in silico analyzes previously obtained and providing evidences for their probable involvement in specific biological processes in coffee plants. MenosCoffee is one of the most important agricultural commodities worldwide. Breeding programs aimed at introducing new characters to produce novel varieties with superior agronomic traits, such as, uniform flowering, yield, grain size, beverage quality, lower caffeine content, as well as, disease and drought resistance have been ongoing for several decades. However, with a large number of gene sequences available in Coffea spp. databases, the identification and characterization of novel genes with unknown function (no hits) are feasible and necessary. The aim of this study was to identify and functionally characterize no hits found in coffee databases, using in silico analysis and qPCR gene expression. For in silico analyses, no hits were identified by similarity search in NCBI databases. Coffea arabica and Coffea canephora libraries from different tissues were generated by sequencing data using the Sanger and 454 methods. We performed an electronic Northern search of the no hits in the coffee libraries. Plant material, for qPCR assays, was obtained from different tissues (leaves, roots, fruits and meristems) of the species C. arabica and C. canephora subjected to different biological conditions (biotic and abiotic stresses) and fruits at early, intermediate and late development stages. As a result, in silico analyzes identified and characterized 1.568 orphan genes in accordance with the libraries in which they were expressed. Therefore, we selected and performed qPCR of 17 orph... Mostrar Tudo |
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Palavras-Chave: |
Estresse; Expressão gênica. |
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Thesagro: |
Base de dados; Cafe. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02566nam a2200181 a 4500
001 2067199
005 2023-11-27
008 2013 bl uuuu m 00u1 u #d
100 1 $aVIEIRA, N. G.
245 $aIdentificação e caracterização de genes órfãos ('NO HITS') de café (Coffea spp.).$h[electronic resource]
260 $a2013.$c2013
300 $a130 p.$cil.
500 $aDissertação (mestrado em Biotecnologia Vegetal) - Universidade Federal de Lavras, Lavras, MG. Orientador: Alan Carvalho de Andrade, Embrapa Recursos Genéticos e Biotecnologia. Coorientador: Pierre Marraccini.
520 $aCoffee is one of the most important agricultural commodities worldwide. Breeding programs aimed at introducing new characters to produce novel varieties with superior agronomic traits, such as, uniform flowering, yield, grain size, beverage quality, lower caffeine content, as well as, disease and drought resistance have been ongoing for several decades. However, with a large number of gene sequences available in Coffea spp. databases, the identification and characterization of novel genes with unknown function (no hits) are feasible and necessary. The aim of this study was to identify and functionally characterize no hits found in coffee databases, using in silico analysis and qPCR gene expression. For in silico analyses, no hits were identified by similarity search in NCBI databases. Coffea arabica and Coffea canephora libraries from different tissues were generated by sequencing data using the Sanger and 454 methods. We performed an electronic Northern search of the no hits in the coffee libraries. Plant material, for qPCR assays, was obtained from different tissues (leaves, roots, fruits and meristems) of the species C. arabica and C. canephora subjected to different biological conditions (biotic and abiotic stresses) and fruits at early, intermediate and late development stages. As a result, in silico analyzes identified and characterized 1.568 orphan genes in accordance with the libraries in which they were expressed. Therefore, we selected and performed qPCR of 17 orphan genes potentially involved in tolerance to biotic and abiotic stresses, as well as, orphan genes involved in coffee fruit development. These genes responded differentially in tissues and with biological conditions, confirming in silico analyzes previously obtained and providing evidences for their probable involvement in specific biological processes in coffee plants.
650 $aBase de dados
650 $aCafe
653 $aEstresse
653 $aExpressão gênica
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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