Table 2. Linear dependencies of flowering time on expression levelsa.
Gene | Normalization (number of datasets) | Sensitivity | T0 |
---|---|---|---|
SOC1 | Scaled (1×) | −0.74 | 78.3 |
Actin (1×) | −72 | 97.5 | |
Tubulin (1×) | −478.9 | 90.8 | |
FT | Scaled (3×) | −0.30 (0.06) | 38.5 (6.0) |
Actin (2×) | −19.6 (9.95) | 45.4 (11.2) | |
Tubulin (1×) | −11.5 | 29.9 | |
IPP2 (4×) | −4.0 (1.1) | 53.4 (15) | |
UBQ10 (3×) | −363 (451) | 45.8 (24.0) | |
FLC | Scaled (7×) | 5.8 (7.1) | 12.7 (5.1) |
Actin (1×) | 81.0 | 8.1 | |
SVP | Scaled (1×) | 0.29 | 4 |
Tubulin (1×) | 37.2 | −12.5 | |
LFY | Scaled (3×) | −5.0 (1.5) | 14.6 (2.7) |
AGL24 | Scaled (3×) | −1.7 (1.8) | 19.6 (2.1) |
Notes.
Values for parameters in linear fit T = Sensitivity * Expression Level + T0 for data shown in Fig. 2 and Figs. S1–S5. Normalization method used in the different datasets is indicated (scaled means normalization by scaling with wildtype or maximum expression value). Different normalization renders values of Sensitivity incomparable, but should not affect comparisons between values of T0. Reported values are average (standard deviation) in case multiple datasets are available for the same normalization. Characteristics of individual datasets are reported in Table 1. Values for Sensitivity and T0 in individual datasets are reported in Table S1.