Transcriptomic responses to aluminum stress in soybean roots
Bibliographic record
Abstract
Aluminum (Al) toxicity is the primary limitation to crop production and plant growth in acid soils. Soybean has multiple mechanisms of Al resistance including the complexing and exclusion of Al in root apices by Al-induced citrate secretion. Microarray analysis is available for the identification of genes in soybean. In the present study, Affymetrix soybean genome array was used to identify the Al-induced differentially expressed genes in Al-resistant genotype Jiyu 70. With a cutoff of > 2.0-fold (p < 0.05) between non Al-treated and Al-treated root apices, 561 genes were upregulated and 78 genes were downregulated when roots were exposed to 30 μmol/L AlCl(3) for 4 h. Quantitative real-time PCR was used to test the microarray data. The analysis showed that nearly half of the Al-responsive genes were of unknown biological function. A higher proportion of genes related to transcription regulation and cell wall processes were observed in Al-induced up- and downregulated genes, respectively. Some genes homologous to the citrate transporter MATE family gene or C(2)H(2) family transcription factor gene, STOP1, were detected in our analysis. Some genes related to lignin deposition were upregulated, which might be related to Al-induced root elongation inhibition.
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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".