2.5. Data Analysis
Common statistical processing was applied to better understand the distribution of the data and discern the presence of significant differences. All errors are reported in terms of the Standard Error of the Mean (SEM). Shapiro-Wilk and Mann-Whitney U tests were used to check the normal distribution and presence of significant differences between behavioral data of various groups, respectively. For RT-qPCR, the statistical significance was tested by a Pair Wise Fixed Reallocation Randomisation Test © and plotted using SEM estimation[43]. Sample sizes were determined by power analysis. An upper limit of 0.05 and a significance level of 80% was applied.