title: Integration of boolean models on hormonal interactions and prospects of cytokinin-auxin crosstalk in plant immunity.
abstract: Crosstalk between auxin and cytokinin in plant growth and development has already been established. However, their dynamics in plant immunity is still not well understood and requires systems biological approaches for analysis. Omics based public databases are exploited for the reconstruction, integration and analysis of Boolean models for hormonal interactions in plants. We established a meta-network by combining the plant immune regulatory network and the pathogen virulence specific network and used it as substrate for dynamic simulations on hormonal aspects of plant immunity. Our integrated analysis of this meta-network reveals antagonistic crosstalk between auxin and cytokinin in the Pst DC3000 and Arabidopsis interaction. Moreover, we discuss here the importance of Boolean models in unfolding inferences relevant to plant pathogen interactions.
authors: Functional Genomics and Systems Biology Group; Department of Bioinformatics; Biocenter; Wuerzburg, Germany.
authors: Muhammad
authors: M
authors: Naseem
authors: Meik
authors: M
authors: Kunz
authors: Nazeer
authors: N
authors: Ahmed
authors: Thomas
authors: T
authors: Dandekar
mesh_terms: D017360:Arabidopsis / Q000378:metabolism* / Q000382:microbiology; D003583:Cytokinins / Q000378:metabolism*; D054884:Host-Pathogen Interactions; D007210:Indoleacetic Acids / Q000378:metabolism*; D008954:Models, Biological; D010935:Plant Diseases / Q000382:microbiology*; D010937:Plant Growth Regulators / Q000378:metabolism; D057865:Plant Immunity; D049490:Systems Biology; D014774:Virulence
chemical_list: D003583:Cytokinins; D007210:Indoleacetic Acids; D010937:Plant Growth Regulators
keywords: boolean modeling; crosstalk; dynamic modeling; hormone; plant signaling