A quantitative and dynamic model of the Arabidopsis flowering time gene regulatory network.

ABSTRACT: Various environmental signals integrate into a network of floral regulatory genes leading to the final decision on when to flower. Although a wealth of qualitative knowledge is available on how flowering time genes regulate each other, only a few studies incorporated this knowledge into predictive models. Such models are invaluable as they enable to investigate how various types of inputs are combined to give a quantitative readout. To investigate the effect of gene expression disturbances on flowering time, we developed a dynamic model for the regulation of flowering time in Arabidopsis thaliana. Model parameters were estimated based on expression time-courses for relevant genes, and a consistent set of flowering times for plants of various genetic backgrounds. Validation was performed by

SUBMITTER: Leal Valentim F 

PROVIDER: S-EPMC4342252 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature