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Expression pattern of drought stress marker genes in soybean roots under two water deficit systems

The study of tolerance mechanisms for drought stress in soybean is fundamental to the understanding and development of tolerant varieties. Using in silico analysis, four marker genes involved in the classical ABA-dependent and ABA-independent pathways of drought response were identified in the Glyci...

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Autores principales: Neves-Borges, Anna Cristina, Guimarães-Dias, Fábia, Cruz, Fernanda, Mesquita, Rosilene Oliveira, Nepomuceno, Alexandre Lima, Romano, Eduardo, Loureiro, Marcelo Ehlers, de Fátima Grossi-de-Sá, Maria, Alves-Ferreira, Márcio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392874/
https://www.ncbi.nlm.nih.gov/pubmed/22802707
http://dx.doi.org/10.1590/S1415-47572012000200003
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author Neves-Borges, Anna Cristina
Guimarães-Dias, Fábia
Cruz, Fernanda
Mesquita, Rosilene Oliveira
Nepomuceno, Alexandre Lima
Romano, Eduardo
Loureiro, Marcelo Ehlers
de Fátima Grossi-de-Sá, Maria
Alves-Ferreira, Márcio
author_facet Neves-Borges, Anna Cristina
Guimarães-Dias, Fábia
Cruz, Fernanda
Mesquita, Rosilene Oliveira
Nepomuceno, Alexandre Lima
Romano, Eduardo
Loureiro, Marcelo Ehlers
de Fátima Grossi-de-Sá, Maria
Alves-Ferreira, Márcio
author_sort Neves-Borges, Anna Cristina
collection PubMed
description The study of tolerance mechanisms for drought stress in soybean is fundamental to the understanding and development of tolerant varieties. Using in silico analysis, four marker genes involved in the classical ABA-dependent and ABA-independent pathways of drought response were identified in the Glycine max genome in the present work. The expression profiles of the marker genes ERD1-like, GmaxRD20A-like, GmaxRD22-like and GmaxRD29B-like were investigated by qPCR in root samples of drought sensitive and tolerant soybean cultivars (BR 16 and Embrapa 48, respectively), submitted to water deficit conditions in hydroponic and pot-based systems. Among the four putative soybean homologs to Arabidopsis genes investigated herein, only GmaxRD29B-like was not regulated by water deficit stress. Distinct expression profiles and different induction levels were observed among the genes, as well as between the two drought-inducing systems. Our results showed contrasting gene expression responses for the GmaxRD20A-like and GmaxRD22-like genes. GmaxRD20A-like was highly induced by continuous drought acclimating conditions, whereas GmaxRD22-like responses decreased after abrupt water deprivation. GmaxERD1-like showed a different expression profile for the cultivars in each system. Conversely, GmaxRD20A-like and GmaxRD22-like genes exhibited similar expression levels in tolerant plants in both systems.
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spelling pubmed-33928742012-07-16 Expression pattern of drought stress marker genes in soybean roots under two water deficit systems Neves-Borges, Anna Cristina Guimarães-Dias, Fábia Cruz, Fernanda Mesquita, Rosilene Oliveira Nepomuceno, Alexandre Lima Romano, Eduardo Loureiro, Marcelo Ehlers de Fátima Grossi-de-Sá, Maria Alves-Ferreira, Márcio Genet Mol Biol Research Article The study of tolerance mechanisms for drought stress in soybean is fundamental to the understanding and development of tolerant varieties. Using in silico analysis, four marker genes involved in the classical ABA-dependent and ABA-independent pathways of drought response were identified in the Glycine max genome in the present work. The expression profiles of the marker genes ERD1-like, GmaxRD20A-like, GmaxRD22-like and GmaxRD29B-like were investigated by qPCR in root samples of drought sensitive and tolerant soybean cultivars (BR 16 and Embrapa 48, respectively), submitted to water deficit conditions in hydroponic and pot-based systems. Among the four putative soybean homologs to Arabidopsis genes investigated herein, only GmaxRD29B-like was not regulated by water deficit stress. Distinct expression profiles and different induction levels were observed among the genes, as well as between the two drought-inducing systems. Our results showed contrasting gene expression responses for the GmaxRD20A-like and GmaxRD22-like genes. GmaxRD20A-like was highly induced by continuous drought acclimating conditions, whereas GmaxRD22-like responses decreased after abrupt water deprivation. GmaxERD1-like showed a different expression profile for the cultivars in each system. Conversely, GmaxRD20A-like and GmaxRD22-like genes exhibited similar expression levels in tolerant plants in both systems. Sociedade Brasileira de Genética 2012-06 /pmc/articles/PMC3392874/ /pubmed/22802707 http://dx.doi.org/10.1590/S1415-47572012000200003 Text en Copyright © 2012, Sociedade Brasileira de Genética. License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Neves-Borges, Anna Cristina
Guimarães-Dias, Fábia
Cruz, Fernanda
Mesquita, Rosilene Oliveira
Nepomuceno, Alexandre Lima
Romano, Eduardo
Loureiro, Marcelo Ehlers
de Fátima Grossi-de-Sá, Maria
Alves-Ferreira, Márcio
Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title_full Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title_fullStr Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title_full_unstemmed Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title_short Expression pattern of drought stress marker genes in soybean roots under two water deficit systems
title_sort expression pattern of drought stress marker genes in soybean roots under two water deficit systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392874/
https://www.ncbi.nlm.nih.gov/pubmed/22802707
http://dx.doi.org/10.1590/S1415-47572012000200003
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