Statistica for windows 7

The results obtained were analyzed using the statistical software package Statistica for Windows 7.1. (StatSoft Inc., 2006, Chicago, IL, USA). A non-parametric ANOVA with a significance level of p < 0.05 was carried out for the content of each metal in the root, the stem, and the leaf. The Kruskal–Wallis nonparametric test (p < 0.05) and the post hoc Tukey test (p < 0.05) were used for the testing of statistically significant differences between groups. The correlation between the content of the metal in the specific plant parts (the root, the stem, and the leaf), the proline accumulation, and the chlorophyll content were assessed by the Pearson’s correlation coefficient (p < 0.05).

The values were reported as an average ± S.D. from at least three independent SL-DT experiments. A one-way ANOVA and Dunnett’s post hoc test was computed using SigmaStat (SPSS Inc., Chicago, IL) to determine significance of differences (P<0.05) between a given dysregulator of GJIC and the following groups: (D609 + dysregulator), (U0126 + dysregulator), (resveratrol + dysregulator). The differences in the effects of D609, U0126 and resveratrol on the collection of all GJIC-dysregulators were further summarized in a principal component analysis (PCA) using Statistica for Windows 7.1 (StatSoft, Tulsa, OK, USA) and the results were presented in the component score plot of individual GJIC-dysregulators.