Supplemental Tables S3.3, S3.4, S3.5, and S3.6

<b>TABLE S3.3. Lists of all DEGs, Enriched GO terms, and KEGG Pathways Identified as Differentially Expressed in at Least One Comparison. </b><b>Analysis was completed with Blast2GO.</b><b><br></b><b><br></b><b><br></b> <b> </b> <b> </b> <b> </b> <b>TABLE S3.4. A List of the Top 250 Genes with Greatest Relative Importance in Predicting an Environmental Variable with a Specified Artificial Neural Network Model. If a gene is included in a variable’s list of top 250, it is marked with an “x”. The R values were calculated with Pearson’s correlation using the expected and actual values following ANN training. The SSE values represent the model’s sum of squares error. The overall top 250 genes across all samples were selected for further ANN analysis. </b> <b><br></b><b><br></b><b><br></b><b>TABLE S3.5. The Relative Importance of 250 <i>O. Lurida</i> genes in Predicting an Environmental Variable with a Specified Artificial Neural Network Model. The R values were calculated with Pearson’s correlation using the expected and actual values following ANN training. The SSE values represent the model’s sum of squares error.</b> <b><br></b><b><br></b><b><br></b><b>TABLE S3.6. The Relative Importance of Each Environmental Variable in Predicting the Gene Expression of 1920 <i>O. Lurida</i> Differentially Expressed Genes Through a Specified Artificial Neural Network Model. The R values were calculated with Pearson’s correlation using the expected and actual values following ANN training. The SSE values represent the model’s sum of squares error.</b>