RNA meets toxicology: efficacy indicators from the experimental design of RNAi studies for insect pest management.

ABSTRACT: RNA interference (RNAi) selectively targets genes and silences their expression in vivo, causing developmental defects, mortality and altered behavior. Consequently, RNAi has emerged as a promising research area for insect pest management. However, it is not yet a viable alternative over conventional pesticides despite several theoretical advantages in safety and specificity. As a first step toward a more standardized approach, a machine learning algorithm was used to identify factors that predict trial efficacy. Current research on RNAi for pest management is highly variable and relatively unstandardized. The applied random forest model was able to reliably predict mortality ranges based on bioassay parameters with 72.6% accuracy. Response time and target gene were the most important vari

SUBMITTER: List F 

PROVIDER: S-EPMC9541735 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature