RNA-seq analysis of transcription patterns during infection of <i>Mesorhizobium japonicum</i> by phage Cp1R7A-A1
Bibliographic record
Abstract
RNA-Seq analysis of Mesorhizobium japonicum infected by phage Cp1R7A-A1 (full name vB_MloS_Cp1R7A-A1) revealed the transcription of all 237 putative phage genes, including 27 tRNA and 210 protein-encoding genes. All predicted protein-encoding genes of Cp1R7A_A1 showed expression. The phage tRNA genes also showed a notable expression, indicating a possible tRNA-dependant phage survival strategy. Host genes related to nutrient uptake and energy metabolism were significantly upregulated within 1–2 h post infection, likely reflecting the phage's metabolic demands. Notably, peptidoglycan-cleaving enzymes showed elevated expression after 3 h, suggesting host stress responses. These findings show the transcriptional interplay between phage Cp1R7A-A1 and M. japonicum, providing a foundation for future functional studies.
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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) | 0.001 | 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".