Characterization of the partial RNA1 and RNA2 3′ untranslated region of Tomato ringspot virus isolates from North America
Bibliographic record
Abstract
The 3′ untranslated regions (UTRs) of RNA1 and RNA2 of Tomato ringspot virus (ToRSV) are 1.3 kb in size and virtually identical. In this study, sequences containing most of the 3′ UTRs (1168–1265 bp) were determined from 18 ToRSV isolates collected from fruit trees, small fruits and grapevines in North America. Pairwise nucleotide sequence comparisons with sequences of two isolates available in GenBank showed identities ranging from 95.1 to 100% for the majority of ToRSV isolates. Most genetic variation occurs as point mutations and single insertions and/or deletions. Phylogenetic analysis showed that 17 of the 20 isolates grouped together into a major cluster and three isolates grouped into two minor clusters, with genetic divergence rates among the three clusters of 11.8% to 23.8%. No correlation was found between the 3′ UTR sequences and symptom expression on Nicotiana benthamiana, host plant or geographic origin of ToRSV isolates. RT-PCR using primers designed within the highly conserved 3′ UTR regions detected all 18 ToRSV isolates as well as two isolates from a vineyard. This assay can serve as a practical methodology for the sensitive detection of varied ToRSV isolates as it is more sensitive than a RT-PCR assay based on previously reported U1/D1 primers.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".