Figure 7.

Enrichment of individual bacterial taxa is associated with a temperature increase in Ae. Aegypti. The Random forest classifier was used to determine the importance of differentially abundant taxa enriched due to increased temperature across both populations and feeding status using the random forest algorithm within Microbiome Analyst. A supervised classification algorithm of trees was created by using bootstrap samples while training data and random feature selection in tree induction. It is an ensemble of unpruned classification or regression trees trained with the bagging method. The Mean Decrease Accuracy obtained by removing the relationship of a taxa and measuring increase in error is reported for each taxon. The taxa with the highest mean decrease in accuracy is considered to have the highest association with the state. Taxa were listed in order of the strength of their level of association with temperature. Stenotrophomonas is highly associated with L regime while Bacillus is strongly associated with H temperature regime. L represents the D30N26 and H represents D32N28 temperature regime. As a taxon approaches red, it indicates richness while the closer it is to blue, the lower its richness in its representation in either H or L temperature regimes.