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,Fábia
Data de Publicação: 2012
Outros Autores: Neves-Borges,Anna Cristina, Viana,Antonio Americo Barbosa, Mesquita,Rosilene Oliveira, Romano,Eduardo, Grossi-de-Sá,Maria de Fátima, Nepomuceno,Alexandre Lima, Loureiro,Marcelo Ehlers, Alves-Ferreira,Márcio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200004
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.
id SBG-1_83f7fde78fc9de0cf8fb0eca5aadd814
oai_identifier_str oai:scielo:S1415-47572012000200004
network_acronym_str SBG-1
network_name_str Genetics and Molecular Biology
repository_id_str
spelling Expression analysis in response to drought stress in soybean: shedding light on the regulation of metabolic pathway genesGlycine maxdrought resistanceqPCRmetabolic pathwaybioinformaticsMetabolomics 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.Sociedade Brasileira de Genética2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200004Genetics and Molecular Biology v.35 n.1 suppl.1 2012reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572012000200004info:eu-repo/semantics/openAccessGuimarães-Dias,FábiaNeves-Borges,Anna CristinaViana,Antonio Americo BarbosaMesquita,Rosilene OliveiraRomano,EduardoGrossi-de-Sá,Maria de FátimaNepomuceno,Alexandre LimaLoureiro,Marcelo EhlersAlves-Ferreira,Márcioeng2012-06-01T00:00:00Zoai:scielo:S1415-47572012000200004Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2012-06-01T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)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,Fábia
Glycine max
drought resistance
qPCR
metabolic pathway
bioinformatics
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,Fábia
author_facet Guimarães-Dias,Fábia
Neves-Borges,Anna Cristina
Viana,Antonio Americo Barbosa
Mesquita,Rosilene Oliveira
Romano,Eduardo
Grossi-de-Sá,Maria de Fátima
Nepomuceno,Alexandre Lima
Loureiro,Marcelo Ehlers
Alves-Ferreira,Márcio
author_role author
author2 Neves-Borges,Anna Cristina
Viana,Antonio Americo Barbosa
Mesquita,Rosilene Oliveira
Romano,Eduardo
Grossi-de-Sá,Maria de Fátima
Nepomuceno,Alexandre Lima
Loureiro,Marcelo Ehlers
Alves-Ferreira,Márcio
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Guimarães-Dias,Fábia
Neves-Borges,Anna Cristina
Viana,Antonio Americo Barbosa
Mesquita,Rosilene Oliveira
Romano,Eduardo
Grossi-de-Sá,Maria de Fátima
Nepomuceno,Alexandre Lima
Loureiro,Marcelo Ehlers
Alves-Ferreira,Márcio
dc.subject.por.fl_str_mv Glycine max
drought resistance
qPCR
metabolic pathway
bioinformatics
topic Glycine max
drought resistance
qPCR
metabolic pathway
bioinformatics
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 2012-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572012000200004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.35 n.1 suppl.1 2012
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
_version_ 1752122384548102144