Data/hora: 02/06/2024 08:27:31

Provedor de dados: 	74	
País: 	Brazil	
Título: 	Network analysis of ABA-dependent and ABA-independent drought responsive genes in Arabidopsis thaliana	
Autores: 	Liu,Shiwei; Lv,Zongyou; Liu,Yihui; Li,Ling; Zhang,Lida.	
Data: 	2018-09-01	
Ano: 	2018	
Palavras-chave: 	Drought stress; Abscisic acid; RNA-seq; Gene expression; Protein-protein interaction network; Arabidopsis thaliana.	
Resumo: 	Abstract Drought is one of the most severe abiotic factors restricting plant growth and yield. Numerous genes functioning in drought response are regulated by abscisic acid (ABA) dependent and independent pathways, but knowledge of interplay between the two pathways is still limited. Here, we integrated transcriptome sequencing and network analyses to explore interplays between ABA-dependent and ABA-independent pathways responding to drought stress in Arabidopsis thaliana. We identified 211 ABA-dependent differentially expressed genes (DEGs) and 1,118 ABA-independent DEGs under drought stress. Functional analysis showed that ABA-dependent DEGs were significantly enriched in expected biological processes in response to water deprivation and ABA stimulus, while ABA-independent DEGs were preferentially enriched in response to jasmonic acid (JA), salicylic acid (SA) and gibberellin (GA) stimuli. We found significantly enriched interactions between ABA-dependent and ABA-independent pathways with 94 genes acting as core interacting components by combining network analyses. A link between ABA and JA signaling mediated through a direct interaction of the ABA responsive elements-binding factor ABF3 with the basic helix-loop-helix transcription factor MYC2 was validated by yeast two-hybrid and bimolecular fluorescence complementation (BiFC) assays. Our study provides a systematic view of the interplay between ABA-dependent and ABA-independent pathways in response to drought stress.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000400624	
Editor: 	Sociedade Brasileira de Genética	
Relação: 	10.1590/1678-4685-gmb-2017-0229	
Formato: 	text/html	
Fonte: 	Genetics and Molecular Biology  v.41 n.3 2018	
Fonte: 	info:eu-repo/semantics/openAccess