Potato Virus Y Strain N-Wi Offers Cross-Protection in Potato Against Strain NTN-NW by Superior Competition
Bibliographic record
Abstract
Potato virus Y (PVY) is one of the most economically important pathogens of potato. PVY exhibits different phenotypes in dissimilar potato cultivars. Previously, we observed that two recombinant isolates, PVYN-Wi-HLJ-BDH-2 (BDH) and PVYNTN-NW(SYR-II)-INM-W-369-12 (369), exhibited different virulence levels in potato cultivar Kexin 13 despite high genome sequence identity. Indeed, 369 induced severe necrosis and plant death in severe cases in Kexin 13 and severe mosaic in cultivar Yanshu 8, whereas BDH caused mainly mosaic symptoms on the plants of both cultivars. We hypothesized that preinfection of plants with BDH could cross-protect them from 369 infection, and not vice versa. Challenge inoculation, either by mechanical wounding or through grafting, with 369 on plants that were preinfected with BDH did not augment the symptom expression in both cultivars. Reverse transcription quantitative PCR analysis showed that, after challenge inoculation with 369, the titer of the isolate on BDH-preinfected plants remained at a low level (about 3 × 104 copy/µl) during the tested time course (0 h to 30 days). In contrast, in plants that were preinoculated with buffer (mock) and challenge inoculated with 369, the titer of 369 increased continuously until reaching its highest level of about 2 × 107 (Yanshu 8) and about 4 × 108 (Kexin 13) during the time course. Surprisingly, in plants that were preinfected with 369 and challenge inoculated with BDH, the accumulation of BDH reached nearly the same level as that in plants that were preinoculated with buffer and challenge inoculated with BDH. Taken together, these results suggest that PVYN-Wi mediated cross-protection against PVYNTN-NW(SYR-II) by superior competition and better fitness.
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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 | 0.000 | 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".