RESUMEN
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., tomato). This algorithm, mimicking the RNA silencing mechanism thought to be linked to viroid pathogenicity, requires only the genome sequences of the viroids and host plants. It involves three steps: alignment of synthetic short sequences of the viroids to the host plant genome, calculation of the alignment coverage, and clustering of the viroids based on coverage using UMAP and DBSCAN. Validation through inoculation experiments confirmed the effectiveness of the algorithm in predicting the severity of disease symptoms induced by viroids. As the algorithm only requires the genome sequence data, it may be applied to any viroid and plant combination. These findings underscore a correlation between viroid pathogenicity and the genome sequences of viroid isolates and host plants, potentially aiding in the prevention of viroid outbreaks and the breeding of viroid-resistant crops.
Asunto(s)
Genoma Viral , Enfermedades de las Plantas , Solanum lycopersicum , Viroides , Solanum lycopersicum/virología , Enfermedades de las Plantas/virología , Viroides/genética , Viroides/patogenicidad , Genoma Viral/genética , Algoritmos , Genoma de PlantaRESUMEN
Peach latent mosaic viroid (PLMVd) infects peach trees in China and induces a conspicuous albino phenotype (peach calico, PC) that is closely associated with variants containing a 12-to-14 nucleotide hairpin insertion capped by a U-rich loop. Initially, PC disease distribution was limited to parts of Italy, and it was first detected in the field in China in 2019. To explore the molecular and biological characteristics of PLMVd PC isolates in peach in China, we conducted a comprehensive analysis of disease phenotype development and investigated the data-associated pathogenicity and in vivo dynamics of the Chinese isolate PC-A2 using slash-inoculation into GF-305 peach seedlings. Inoculated seedlings displayed PC symptoms much earlier following topping treatment, and PLMVd infectivity was further assessed using bioassay and semiquantitative RT-PCR experiments. Evolutionary analysis showed that the PC isolate and its progeny variants clustered into a single phylogroup distinct from reference PC-C40 isolates from Italy and PC-K1 and PC-K2 from South Korea. Some PC-A2 progeny variants from green leaves of PC-expressing seedlings showed unbalanced point mutations in hairpin stems compared with the PC-C40 reference sequence and constituted a new stem insertion type. The results reveal associations between the recessive phenotypes of peach albino symptoms and base variation in hairpin stem insertions relative to the PC-C40/chloroplastic heat shock protein 90 reference sequence.