Additional file 6 - dataset and scripts for correlations beween microbiota and metabolome

Correlation analyses between microbiota and metabolome data were conducted using Python. Only metabolites within the quantification range for each sample and bacterial genera with an average abundance above 0.05% were included in the analyses. The Shapiro-Wilk test was used to assess the normality of the metabolite and bacterial genera distributions. For pairs where both variables followed a normal distribution, Pearson's correlation coefficient was employed. Otherwise, Spearman's correlation was used. To account for the risk of false positives associated with multiple comparisons, the Benjamini-Hochberg correction was applied. A global analysis was first performed across all samples, considering all metabolites and bacterial genera, followed by a targeted analysis focusing on the metabolites and bacterial genera that showed significant differences between IUGR and NORM pigs.