Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genes.

Detalhes bibliográficos
Autor(a) principal: GUIMARÃES-DIAS, F.
Data de Publicação: 2012
Outros Autores: 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.
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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spelling 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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