Association of the transcriptional response of soybean plants with soybean mosaic virus systemic infection
Bibliographic record
Abstract
Compatible virus infection induces and suppresses host gene expression at the global level. These gene-expression changes are the molecular basis of symptom development and general stress and defence-like responses of the host. To assess transcriptional changes in soybean plants infected with soybean mosaic virus (SMV), the first soybean trifoliate leaf, immediately above the SMV-inoculated unifoliate leaf, was sampled at 7, 14 and 21 days post-inoculation (p.i.) and subjected to microarray analysis. The identified changes in gene expression in soybean leaves with SMV infection at different time points were associated with the observed symptom development. By using stringent selection criteria (>or=2- or <or=-2-fold change and a Q value of <or=0.05), 273 (1.5 %) and 173 (0.9 %) transcripts were identified to be up- and downregulated, respectively, from 18 613 soybean cDNAs on the array. The expression levels of many transcripts encoding proteins for hormone metabolism, cell-wall biogenesis, chloroplast functions and photosynthesis were repressed at 14 days p.i. and were associated with the highest levels of viral RNA in the host cells. A number of transcripts corresponding to genes involved in defence were either downregulated or not affected at the early stages of infection, but upregulated at the late stages, indicating that the plant immune response is not activated until the late time points of infection. Such a delayed defence response may be critical for SMV to establish its systemic infection.
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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 | 0.001 |
| 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".