Figure 1.(A) Implementation of a statistical method designed to study OS-elicitation specific responses in untreated tissues in Nicotiana attenuata: Replicated transcriptomic and metabolomic data were analyzed using multi-factorial analysis with both factors (tissue and treatment) taken together across the time series to identify modules showing differential OS-elicitation. Heatmap represents hierarchical cluster analysis of genes showing interactive effect for W+OS and W+W condition when compared for treated and untreated leaf tissue. Temporal profile of NaPAL1 represents the specific pattern, OS specific response at 5 h after elicitation, extracted using this method. Pie chart represents the distribution of enriched GO terms for genes showing interactive effect. (B) Localization of genes showing OS-specific responses dependent on tissue type in different interactive motifs: Probes from interactive bin for the analysis comparing 2 factors (treatment, W+OS vs. W+W; tissue, Treated leaf vs. systemic leaf) were mapped onto SOM grids and found overrepresented in motifs 1a, 1b, 5a and 5c. This set is further divided into 2 sub-groups based on their time response. (A) greater than 0.5 at 1h after treatment; (B) greater than 0.5 at 5h after treatment. Set (B) is represented by 2 well-studied secondary metabolic pathways—the acyclic diterpene glycoside and phenylpropanoid pathways.