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Computational identification and systematic classification of novel GRAS genes in Isatis indigotica / 中国天然药物
Chinese Journal of Natural Medicines (English Ed.) ; (6): 161-176, 2016.
Artículo en Inglés | WPRIM | ID: wpr-812439
ABSTRACT
Isatis indigotica Fort., belonging to Cruciferae, is one of the most commonly used plants in traditional Chinese medicine. The accumulation of the effective components of I. indigotica is related with its growth conditions. The GRAS genes are members of a multigene family of transcriptional regulators that play a crucial role in plant growth. Although the activities of many GRAS genes have long been recognized, only in recent years were some of them identified and functionally characterized in detail. In the present study, 41 GRAS genes were identified from I. indigotica through bioinformatics methods for the first time. They were classified into ten groups according to the classification of Arabidopsis and rice. The characterization, gene structure, conserved motifs, disordered N-terminal domains, and phylogenetic reconstruction of these GRASs were analyzed. Forty-three orthologous gene pairs were shared by I. indigotica and Arabidopsis, and interaction networks of these orthologous genes were constructed. Furthermore, gene expression patterns were investigated by analysis in methyl jasmonate (MeJA)-treated I. indigotica hairy roots based on RNA-seq data. In conclusion, this comprehensive analysis would provide rich resources for further studies of GRAS protein functions in this plant.
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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Factores de Transcripción / Genes de Plantas / Biología Computacional / Perfilación de la Expresión Génica / Isatis / Genética / Medicina Tradicional China Tipo de estudio: Estudio diagnóstico / Estudio pronóstico Idioma: Inglés Revista: Chinese Journal of Natural Medicines (English Ed.) Año: 2016 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Factores de Transcripción / Genes de Plantas / Biología Computacional / Perfilación de la Expresión Génica / Isatis / Genética / Medicina Tradicional China Tipo de estudio: Estudio diagnóstico / Estudio pronóstico Idioma: Inglés Revista: Chinese Journal of Natural Medicines (English Ed.) Año: 2016 Tipo del documento: Artículo