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.