Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes.
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/926591 |
Resumo: | 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. |
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Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes.BioinformáticaQPCRSojaResistência a secaGeneGenomaSoybeansBioinformaticsBiochemical pathwaysDrought toleranceGenesGenomeMetabolomics 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.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.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.2012-06-18T11:11:11Z2012-06-18T11:11:11Z2012-06-1820122012-07-17T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 222-232, May 2012.http://www.alice.cnptia.embrapa.br/alice/handle/doc/926591enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:35:18Zoai:www.alice.cnptia.embrapa.br:doc/926591Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:35:18falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:35:18Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
title |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
spellingShingle |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. GUIMARÃES-DIAS, F. Bioinformática QPCR Soja Resistência a seca Gene Genoma Soybeans Bioinformatics Biochemical pathways Drought tolerance Genes Genome |
title_short |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
title_full |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
title_fullStr |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
title_full_unstemmed |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
title_sort |
Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes. |
author |
GUIMARÃES-DIAS, F. |
author_facet |
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. |
author_role |
author |
author2 |
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. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
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. |
dc.subject.por.fl_str_mv |
Bioinformática QPCR Soja Resistência a seca Gene Genoma Soybeans Bioinformatics Biochemical pathways Drought tolerance Genes Genome |
topic |
Bioinformática QPCR Soja Resistência a seca Gene Genoma Soybeans Bioinformatics Biochemical pathways Drought tolerance Genes Genome |
description |
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. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-06-18T11:11:11Z 2012-06-18T11:11:11Z 2012-06-18 2012 2012-07-17T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 222-232, May 2012. http://www.alice.cnptia.embrapa.br/alice/handle/doc/926591 |
identifier_str_mv |
Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 222-232, May 2012. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/926591 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503364864638976 |