Fig. 4

Host-microbiome delay correlation analysis, GO ontology, and KEGG pathways enrichment analysis in stable sites. Using the R package dynOmics [73], we measured the correlation between the two time series at different time lags. We identified the delay (positive or negative lag) at which the two variables most strongly correlated. a Human activities that preceded microbiome activities by 2 months. b Microbiome activities that preceded human activities by 2 months. The percentages represent the %terms/group, that is, the proportion of terms within each functional group or category relative to the total number of terms in your analysis. It shows how many enriched terms are associated with each functional group, showing their relative importance. n = number of nodes in the network. In red, metabolic activities were activated (enriched). The detailed list of enriched terms is presented in Table S7