10.7554/eLife.22114.017Figure 5—figure supplement 1.FLM-ß expression correlates with flowering time in transgenic lines carrying different FLM alleles.(A) and (B) Results from qRT-PCR analyses of FLM-β (A) and FLM-δ (B) expression in ten day-old seedlings of pools (n = 18–40) of independent T2 transgenic lines. Error bars indicate SD of four replicate pools comprising between four and ten transgenic lines or three Col-0 replicates. (C) Photographs of representative 57 day-old plants expressing FLMCol-0 and PRO2+ and INT6+ variants grown at 15°C in long-day photoperiod. Col-0 and Nd-1, which served as genetic background for the transgenic analysis, are shown in each photograph for comparison. Plants of both pictures are from the same experiment but were photographed separately. (D) Correlation (simple linear regression) between FLM-δ expression data as presented in (B) and flowering time as shown in Figure 5A. Data points of INT6+ variants with contrasting FLM expression and FLMCol-0 are designated. p=0.005. The shaded areas indicate the 95% confidence intervals. (E) Box plot of quantitative flowering time analysis (rosette leaf number) of independent T2 transgenic lines at 15°C and long day photoperiod. Ten plants of three replicate pools were analysed for each construct (uncorrected data). Single values are shown as jittered dots, the colour represents the type of variant as introduced in Figure 4D, the median of the FLMCol-0 reference is indicated as dotted line. The 25% of the plants that show a very early flowering that most likely represent the wild type Nd-1 segregants are indicated with a red circle and these were extracted for correction as presented in Figure 5A. Wilcoxon rank test: *p≤0.05; **p≤0.01; ***p≤0.001; n.s., not significant. (F) Correlation (simple linear regression) between FLM-ß and FLM-δ. qRT-PCR expression data as presented in (A) and (B) and flowering time analysis as shown in (D). FLM-ß, p<0.0001; FLM-δ, p=0.002. The shaded areas indicate the 95% confidence intervals.DOI: http://dx.doi.org/10.7554/eLife.22114.017