Genetics and Molecular Biology | |
Expression pattern of drought stress marker genes in soybean roots under two water deficit systems | |
Anna Cristina Neves-borges2  Fábia Guimarães-dias1  Fernanda Cruz1  Rosilene Oliveira Mesquita1  Alexandre Lima Nepomuceno1  Eduardo Romano1  Marcelo Ehlers Loureiro1  Maria De Fátima Grossi-de-sá1  Márcio Alves-ferreira1  | |
[1] ,, Universidade Federal do Rio de Janeiro Departamento de Botânica Rio de Janeiro RJ ,Brazil | |
关键词: water deficit; drought adaptation; marker genes; Glycine max; | |
DOI : 10.1590/S1415-47572012000200003 | |
来源: SciELO | |
【 摘 要 】
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.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
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