Molecular characterization of <i>Potato mop-top virus</i> isolates from China and Canada and development of RT-PCR differentiation of two sequence variant groups
Bibliographic record
Abstract
The complete genome comprising three genomic RNAs of three Canadian and two Chinese isolates of Potato mop-top virus were sequenced and analyzed. Two open reading frames (ORFs) were found in RNA1 of 6.1 kb, encoding a readthrough RNA-dependent RNA polymerase (RdRp). A coat protein (CP)-readthrough protein was encoded by RNA2 of 3.1 kb. Four ORFs that encoded the triple gene block proteins (TGBps) and a cysteine-rich protein were found in RNA3 (2.9 kb) of the Chinese isolate “Yunnan”; whereas in the remaining isolates (three Canadian isolates and the Chinese isolate “Guangdong”), only three ORFs encoding TGBps were observed in RNA3. A single nucleotide mutation of A2462 to G2462 abolished the start codon “AUG” for the fourth putative ORF in RNA3 of these isolates. Based on phylogenetic and sequence similarity analysis of these isolates well as those reported by others at the complete RNA sequence level, each of RNA1, RNA2 and RNA3 could be divided into at least two groups. In Canadian isolates “Ch9”, “Ch10” and “Ch20” and Chinese isolate “Guangdong”, all genomic RNAs belonged to group A; and in Chinese isolate “Yunnan”, all of its RNA belonged to group B. Interestingly, in Swedish isolate “Sw”, RNA1 and RNA2 belonged to group A while RNA3 belonged to group B. A duplex RT-PCR for differentiating groups A and B of RNA3 was developed and evaluated. All PMTV samples collected in Guangdong, China, and New Brunswick, Canada, possessed a RNA3 belonging to group A; whereas the samples collected in Yunnan, China, possessed a RNA3 belonging to group B.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".