Spss statistic v 22

All statistical analyses were carried out using IBM SPSS STATISTIC v.22 (Armonk, NY, USA). The Kolmogorov–Smirnov test of normality (a = 0.05) was used to ensure that the data were normal, and all the analyses were parametric. In depth, independent t-test was used to detect the differences of relative expression levels of miR159 in comparison of W82 + SCN vs. W82CK, OE-miR159 vs. EV and STTM-miR159 vs. EV. Similarly, an independent t-test was also applied to detect the differences the differences of relative expression levels of GmMYB33 genes in comparison of W82 + SCN vs. W82CK, OE-miR159 vs. EV and STTM-miR159 vs. EV. An independent t-test was used to detect the differences of GA content in comparison with W82 + SCN vs. W82CK at different time points, while the GA content in comparison with GA treated roots and control roots was analyzed by one-way analysis of variance (ANOVA) followed by LSD post hoc test. For analysis the SCN penetration and development data, one-way analysis of variance (ANOVA) followed by an LSD post hoc test was used to detect the differences in comparison of OE-miR159 vs. EV, GA treated roots vs. control roots and GA treated transgenic roots vs. EV.

A one-way ANOVA comparison with a Tukey’s post hoc test was performed for all experiments evaluating cytotoxicity, cell viability, cell proliferation and cytokine release. Additionally, a t-Test was performed comparing 24 h and 72 h data for each individual treatment. For all statistical comparisons, a critical value of p < 0.05 was used to test the null hypothesis, HO = all treatments responded identically. In each case, data did not violate assumptions of normality when tested and appeared not to violate other assumptions required for one-way ANOVA comparison. Analyses were conducted with IBM SPSS Statistic v.22, Armonk, NY. All error bars indicate ± 1 standard deviations (SD) for N = 3,unless otherwise stated in the legend of the figure or table.