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
<i>Bacillus cereus</i> G2 can alleviate the adverse effect caused by salt in <i>Glycyrrhiza uralensis</i> 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 <i>G. uralensis</i>. 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 <i>G. uralensis</i>. 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 <i>G. uralensis</i>.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.082 | 0.003 |
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; both teacher heads agree on what is shown here.
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".