4.8 Article

Prediction of Photoperiodic Regulators from Quantitative Gene Circuit Models

Journal

CELL
Volume 139, Issue 6, Pages 1170-1179

Publisher

CELL PRESS
DOI: 10.1016/j.cell.2009.11.029

Keywords

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Funding

  1. BBSRC [BEP17427]
  2. BBSRC/EPSRC SABR award [F0052371]
  3. Gatsby Charitable Trust
  4. Royal Thai Government
  5. EU [005137]
  6. EPSRC [D019621]
  7. Biotechnology and Biological Sciences Research Council [BB/F005237/1, P19861/2, BB/D019621/1] Funding Source: researchfish
  8. Engineering and Physical Sciences Research Council [EP/C544587/1] Funding Source: researchfish
  9. BBSRC [BB/D019621/1, BB/F005237/1] Funding Source: UKRI
  10. EPSRC [EP/C544587/1] Funding Source: UKRI

Ask authors/readers for more resources

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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