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Predicting Symptom Severity in Infected Tomato Plants Using the Genome Sequence
Greg Howard
4th July, 2024
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Image Source: Natural Science News, 2024
Key Findings
- Researchers in Japan developed an algorithm to predict the severity of viroid-induced symptoms in plants using genome sequences
- The algorithm mimics the plant's natural defense process and clusters viroids based on how well they match the host genome
- Validation experiments confirmed the algorithm's effectiveness, showing a strong correlation between viroid and host plant genome sequences
References
Main Study
1) Predicting symptom severity in PSTVd-infected tomato plants using the PSTVd genome sequence.
Published 3rd July, 2024
https://doi.org/10.1111/mpp.13469
Related Studies
2) Potato spindle tuber viroid infection triggers degradation of chloride channel protein CLC-b-like and Ribosomal protein S3a-like mRNAs in tomato plants.
3) RNAi mediated inhibition of viroid infection in transgenic plants expressing viroid-specific small RNAs derived from various functional domains.
4) Current overview on viroid-host interactions.