Prediction of Photoperiodic Regulators from Quantitative Gene Circuit Models
Author(s) -
José Domingo Salazar,
Treenut Saithong,
Paul E. Brown,
Julia Foreman,
James Locke,
Karen Halliday,
Isabelle A. Carré,
D.A.J. Rand,
Andrew J. Millar
Publication year - 2009
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2009.11.029
Subject(s) - biology , photoperiodism , arabidopsis , circadian clock , gene , adaptation (eye) , endogeny , circadian rhythm , coincidence detection in neurobiology , genetics , microbiology and biotechnology , coincidence , botany , neuroscience , biochemistry , mutant , medicine , alternative medicine , pathology
Photoperiod sensors allow physiological adaptation to the changing seasons. The prevalent hypothesis is that day length perception is mediated through coupling of an endogenous rhythm with an external light signal. Sufficient molecular data are available to test this quantitatively in plants, though not yet in mammals. In Arabidopsis, the clock-regulated genes CONSTANS (CO) and FLAVIN, KELCH, F-BOX (FKF1) and their light-sensitive proteins are thought to form an external coincidence sensor. Here, we model the integration of light and timing information by CO, its target gene FLOWERING LOCUS T (FT), and the circadian clock. Among other predictions, our models show that FKF1 activates FT. We demonstrate experimentally that this effect is independent of the known activation of CO by FKF1, thus we locate a major, novel controller of photoperiodism. External coincidence is part of a complex photoperiod sensor: modeling makes this complexity explicit and may thus contribute to crop improvement.
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