Extended Data Figure 9. Technical details for model fitting.

a, Normalized NPR1 monomer abundance in mock-treated samples. The blue line presents the mean values from Fig. 2b, where the value at 48 h (marked with an open star) was inferred to be the same as 0 h. The red line represents the smoothened values used for modelling by averaging over two days to create a one-day trace, which was then repeated over two days. The smoothened data were normalized, such that the time average of NPR1 was equal to 1. LL, constant light. a.u., arbitrary unit. White bars represent subjective days and grey bars represent subjective nights. b, SA-treated NPR1 monomer abundance. NPR1 monomer abundance after SA treatment from Extended Data Fig. 4b was normalized so that 0 h has the same value as the corresponding mock-treated NPR1 monomer level. Based on the assumption that the SA induction lasted for two days, the value of the last time point was inferred to be equal to the basal level (marked with an open star). c, Coefficient of variation (CV) of least squares residual Σ for 15 different, random initial parameters for the model fitting of npr1 data. d, CV of n_b^* for 15 different, random initial parameters for the model fitting of npr1 data. e, Optimal $n_a^{\ast },K_d^{\ast }$ exhibit a linear relationship. log(Σ) was plotted as a function of n_a and K_d for mock-treated TOC1-only coupling (no query pairs). A “low”, linear Σ region is evident and is described by a simple analytical linear relationship. n_b^*=0.5689 h⁻¹. f, CV of Σ for 15 different, random initial parameters for the model fitting of SA-treated data. g, The CV of K_d* for 15 different, random initial parameters for the model fitting of SA-treated data.