Sigmastat statistical

Statistical analysis was done using SigmaStat statistical software package (SPSS). Student’s unpaired ‘t’ test was performed to analyze the data derived by the 2^−ddCt method. p-value of less than 0.05 was considered as significant. The transcript levels of the target genes for both resistant and sensitive isolates were presented as mean ± SEM (standard error of the mean).

Statistical comparisons of data were carried out by the Student’s t test when the data complied with the conditions of normality and equal variance. Under other conditions, comparisons were done by nonparametric analysis using the Mann-Whitney rank sum test. The Kolmogorov-Smirnov method was used to test for normality, and the Levene’s test was used to test for equal variance. Probability values of P < 0.05, determined from two-sided tests, were considered significant. The Pearson product moment correlation test was used to search for correlation between parameters. Curves were fitted to the data by regression analysis. The statistical analysis was performed by using the SigmaStat statistical software (SPSS Science, Chicago, IL, USA).

Values were expressed as mean ± SD. Differences between groups were determined by analysis of variance (ANOVA) using the Sigma Stat statistical software (SPSS Science, Chicago, USA). A value of P < 0.05 was considered statistically significant.