Transcriptomic changes associated with infection of Nicotiana benthamiana plants with tomato ringspot virus (genus Nepovirus) during the acute symptomatic stage and after symptom recovery
Bibliographic record
Abstract
We have characterized the transcriptome of Nicotiana benthamiana plants infected with tomato ringspot virus (ToRSV), a nepovirus. We analyzed two different stages of infection: the acute systemic symptomatic stage and the symptom recovery stage in which young leaves emerge without visible symptoms. In agreement with previous observations, we note a similar concentration of viral RNAs in symptomatic and recovered leaves. Extensive reprogramming of the plant transcriptome was observed in symptomatic leaves, including upregulation of genes characteristic of biotic stress responses and downregulation of genes associated with the function and translation of chloroplasts. The majority of plant genes that were differentially regulated during the symptomatic stage returned to their basal levels after recovery. Thus, the extent of changes in the plant transcriptome was correlated with symptom intensity. However, we also identified genes that remained upregulated after the symptomatic stage or that were specifically induced at the symptom recovery stage. The list of genes that were upregulated at the symptom recovery stage was diverse and included several types of cysteine-rich antimicrobial peptides, notably two defensin-like genes that were specifically upregulated in recovered leaves, as confirmed by droplet-digital PCR. Several plant miRNAs were also differentially expressed in ToRSV-infected plants. Notably, miR391 was upregulated at both stages of infection, whereas miR530 and miR1919 were specifically upregulated during the symptomatic stage of infection. Several predicted miRNA targets were differentially regulated in our dataset, including new targets as well as previously validated targets (e.g., zinc finger A20/AN1 domain-containing stress-associated protein 1, a known target of miR530). Many of the miRNA predicted targets were related to plant defense responses and may contribute to symptom induction and/or symptom recovery.
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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".