RNA-seq reveals that multiple plant hormones are regulated by <i>Bacillus cereus</i> G2 in <i>Glycyrrhiza uralensis</i> subjected to salt stress
Bibliographic record
Abstract
Bacillus cereus G2 can alleviate the adverse effect caused by salt in Glycyrrhiza uralensis Fisch. Transcriptome in the salt (S) treatment and control (CK) groups with or without G2 (CK + B or S + B) were sequenced to identify G2 regulate genes and response pathways under salt stress in G. uralensis. A total of 3608 differentially expressed genes (DEGs) were identified, of which 1589, 623, 469, and 927 DEGs were identified in S vs CK, CK + B vs CK, S + B vs S and S + B vs CK + B comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that G2 improved salt-tolerance mainly by regulating phytohormone in G. uralensis. Specifically, G2 up-regulated the DEGs related to auxin (IAA) signal transduction, abscisic acid (ABA) biosynthesis, signal transduction, and catabolism, and jasmonic acid (JA) biosynthesis and signal transduction under salt stress. Overall, multiple phytohormones were involved in the interaction of salt stress and G2 in G. uralensis.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".