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2. | | CENTENO, D. da C.; MACHADO, D. N.; SILVA, M. A. P.; LOUREIRO, M. E. Atividades da proteína desacopladora e da hexocinase em mitocôndrias de tubérculos de batata (Solanum tuberosum L.) In: CONGRESSO NACIONAL DE BOTÂNICA, 55.; ENCONTRO REGIONAL DE BOTÂNICOS DE MG, BA, ES, 26., 2004, Viçosa. Conservação bioprospeccção e biotecnologia: [livro de resumos]. Viçosa: Sociedade Botânica do Brasil: Universidade Federal de Viçosa, 2004. CD-ROM. Biblioteca(s): Embrapa Hortaliças. |
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4. | | LOUREIRO, M. E.; CADINELLI, G.; BARBOSA, W.; MATINEZ Y HUAMAN, C.; CARNEIRO, M. Physiological effects of the rolA gene expression in transgenic tobacco plants. In: ENCUENTRO LATINO AMERICANO DE BIOTECNOLOGIA VEGETAL, 2., 1995, Puerto Iguazu, Argentina. REDBIO95. [S.l.:s.n.], 1995. n.A-71. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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7. | | CARVALHO, L. J. C. B.; CASCARDO, J. C. M.; FERREIRA, M. A.; LOUREIRO, M. E. Studies on proteins and enzymes related to tuverization and starch biosynthesis in cassava roots. Cali, Colombia: CIAT, 1993 234-238p CIAT, Working Document,123 International scientific meeting Cassava Biotechnology Network, 1, 1992, Cartajena, Colombia. Proceedinjs... Cali, Colombia: CIAT, 1993. Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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9. | | DIOLA, V.; BRITO, G. G. de; CAIXETA, E. T.; MACIEL-ZAMBOLIM, E.; SAKIYAMA, N. S.; LOUREIRO, M. E. High-density genetic mapping for coffee leaf rust resistance. Tree Genetics & Genomes, v. 7, n. 6, p. 1199-1208, Dec. 2011. Biblioteca(s): Embrapa Café. |
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12. | | DIOLA, V.; LOUREIRO, M. E.; ALMEIDA, A. M. de; CAIXETA, E. T.; ZAMBOLIN, E. M.; BRITO, G. G. de. Expressão gênica em resposta a infecção de Hemileia vastatrix em café. In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 12., 2009, Fortaleza. Desafios para produção de alimentos e bioenergia. Fortaleza: SBFV: UFC: Embrapa Agroindústria Tropical, 2009. Biblioteca(s): Embrapa Algodão. |
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13. | | BRITO, G. G. de; CAIXETA, E. T.; GALLINA, A. P.; DIOLA, V.; ZAMBOLIM, E. M.; ZAMBOLIM, L.; LOUREIRO, M. E. Inheritance of coffee leaf rust resistance and identification of AFLP markers linked to the resistance gene. In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 12., 2009, Fortaleza. Desafios para produção de alimentos e bioenergia. Fortaleza: SBFV: UFC: Embrapa Agroindústria Tropical, 2009. Biblioteca(s): Embrapa Algodão. |
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19. | | BRITO, G. G.; CAIXETA, E. T.; ZAMBOLIN, E. M.; ZAMBOLIM, L.; ALMEIDA, R. M.; DIOLA, V.; SAKIYAMA, N.; LOUREIRO, M. E. Mapeamento genético de marcadores AFLP ligados ao gene de resistência do híbrido de timor à Hemileia vastatrix. In: Simpósio de Pesquisa dos Cafés do Brasil, 5., 2007, Águas de Lindóia. Anais. Brasília, D.F. : Embrapa Café, 2007. Biblioteca(s): Embrapa Café. |
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20. | | PEREIRA, L. F. P.; DIOLA, V.; CAÇÃO, S. M. B.; CAIXETA, E. T.; BRITO, G. G. de; ZAMBOLIN, E. M.; LOUREIRO, M. E. Mapeamento integrado de Coffea arabica: identificação de marcadores e clones BAC para o gene de resistência a ferrugem. In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 23. 2010, Bali, Indonesia. Biblioteca(s): Embrapa Café. |
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Registros recuperados : 42 | |
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Registro Completo
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Soja. |
Data corrente: |
18/06/2012 |
Data da última atualização: |
03/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
GUIMARÃES-DIAS, F.; NEVES-BORGES, A. C.; VIANA, A. A. B.; MESQUITA, R. O.; ROMANO, E.; GROSSI-DE-SÁ, M. de F.; NEPOMUCENO, A. L.; LOUREIRO, M. E.; ALVES-FERREIRA, M. |
Afiliação: |
FÁBIA GUIMARÃES DIAS, UFRJ; ANNA CRISTINA NEVES-BORGES, UNIRIO; ANTONIO AMERICO BARBOSA VIANA, CENARGEN; ROSILENE OLIVEIRA MESQUITA, UFV; EDUARDO ROMANO DE CAMPOS PINTO, CENARGEN; MARIA FATIMA GROSSI DE SA, CENARGEN; ALEXANDRE LIMA NEPOMUCENO, SRI; MARCELO EHLERS LOUREIRO, UFV; MÁRCIO ALVES-FERREIRA, UFRJ. |
Título: |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 222-232, May 2012. |
Idioma: |
Inglês |
Conteúdo: |
Metabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plants. MenosMetabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plan... Mostrar Tudo |
Palavras-Chave: |
Bioinformática; QPCR. |
Thesagro: |
Gene; Genoma; Resistência a seca; Soja. |
Thesaurus NAL: |
Biochemical pathways; Bioinformatics; Drought tolerance; Genes; Genome; Soybeans. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61069/1/gmb.expression.anal.v35n1s.222-232.2012.pdf
|
Marc: |
LEADER 02539naa a2200361 a 4500 001 1946634 005 2023-03-03 008 2012 bl uuuu u00u1 u #d 100 1 $aGUIMARÃES-DIAS, F. 245 $aExpression analysis in response to drought stress in soybean$bshedding light on the regulation of metabolic pathway genes. 260 $c2012 520 $aMetabolomics analysis of wild type Arabidopsis thaliana plants, under control and drought stress conditions revealed several metabolic pathways that are induced under water deficit. The metabolic response to drought stress is also associated with ABA dependent and independent pathways, allowing a better understanding of the molecular mechanisms in this model plant. Through combining an in silico approach and gene expression analysis by quantitative real-time PCR, the present work aims at identifying genes of soybean metabolic pathways potentially associated with water deficit. Digital expression patterns of Arabidopsis genes, which were selected based on the basis of literature reports, were evaluated under drought stress condition by Genevestigator. Genes that showed strong induction under drought stress were selected and used as bait to identify orthologs in the soybean genome. This allowed us to select 354 genes of putative soybean orthologs of 79 Arabidopsis genes belonging to 38 distinct metabolic pathways. The expression pattern of the selected genes was verified in the subtractive libraries available in the GENOSOJA project. Subsequently, 13 genes from different metabolic pathways were selected for validation by qPCR experiments. The expression of six genes was validated in plants undergoing drought stress in both pot-based and hydroponic cultivation systems. The results suggest that the metabolic response to drought stress is conserved in Arabidopsis and soybean plants. 650 $aBiochemical pathways 650 $aBioinformatics 650 $aDrought tolerance 650 $aGenes 650 $aGenome 650 $aSoybeans 650 $aGene 650 $aGenoma 650 $aResistência a seca 650 $aSoja 653 $aBioinformática 653 $aQPCR 700 1 $aNEVES-BORGES, A. C. 700 1 $aVIANA, A. A. B. 700 1 $aMESQUITA, R. O. 700 1 $aROMANO, E. 700 1 $aGROSSI-DE-SÁ, M. de F. 700 1 $aNEPOMUCENO, A. L. 700 1 $aLOUREIRO, M. E. 700 1 $aALVES-FERREIRA, M. 773 $tGenetics and Molecular Biology, Ribeirão Preto$gv. 35, n. 1, suppl., p. 222-232, May 2012.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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