Predicting symptom severity in PSTVd-infected tomato plants using the PSTVd genome sequence.

ABSTRACT: Viroids, one of the smallest known infectious agents, induce symptoms of varying severity, ranging from latent to severe, based on the combination of viroid isolates and host plant species. Because viroids are transmissible between plant species, asymptomatic viroid-infected plants may serve as latent sources of infection for other species that could exhibit severe symptoms, occasionally leading to agricultural and economic losses. Therefore, predicting the symptoms induced by viroids in host plants without biological experiments could remarkably enhance control measures against viroid damage. Here, we developed an algorithm using unsupervised machine learning to predict the severity of disease symptoms caused by viroids (e.g., potato spindle tuber viroid; PSTVd) in host plants (e.g., toma

SUBMITTER: Sun J 

PROVIDER: S-EPMC11219469 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature