Characterization of the Tuta absoluta virome reveals higher viral diversity in field populations
Bibliographic record
Abstract
• The RNA virome of Tuta absoluta was described for the first time. • Ten novel RNA ISVs were identified in worldwide T. absoluta populations. • Plant-infecting viruses and mycoviruses were also detected in the insect pest. • Field-collected samples exhibited a greater ISVs diversity than laboratory samples. A significant number of insect-specific viruses (ISVs) have been discovered in agriculturally important insect pests, facilitated by high-throughput sequencing (HTS). Despite its global impact on tomato crops, the RNA virome of the South American tomato pinworm, Tuta absoluta , remains uncharacterized. In this study, we utilized meta -transcriptomics and bioinformatic approaches to discover the RNA virome of T. absoluta across worldwide populations. We identified ten novel ISVs, classified into eight groups: Nidovirales , Bunyavirales , Mononegavirales , Virgaviridae , Iflaviridae , Nodaviridae , Solemoviridae , and Phasmaviridae . Notably, no core virus was consistently present across the studied populations, and field-collected samples revealed a greater diversity of ISVs compared to those from laboratory samples. In addition, we detected plant-infecting viruses and mycoviruses associated with the pest. This study represents the first description of the RNA virome associated with T. absoluta , providing valuable insights into its biological and ecological interactions. It also lays the foundation for future studies aimed to clarify the biological roles of ISVs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".