Jasmonic acid–induced inhibition of root growth and leaf senescence is reduced by <i>GmbHLH3</i>, a soybean bHLH transcription factor
Bibliographic record
Abstract
Basic helix-loop-helix (bHLH) transcription factors (TFs) are known to play significant roles in plant growth and development, secondary metabolite synthesis, and stress responses. However, the functions of soybean [Glycine max (L.) Merr.] bHLH TFs have been less widely explored. The main purpose of this study was to explore the function of a bHLH TF subfamily gene, GmbHLH3, by overexpression in wild type Arabidopsis thaliana (L.) Heynh. GmbHLH3 is a homolog of Arabidopsis bHLH3 (AtbHLH3) that participates in the regulation of jasmonic acid (JA) signaling. Several cis-regulatory elements responding to methyl-jasmonate (MeJA), including G-Box CGTCA and TGACG motifs, were found in the promoter of GmbHLH3. GmbHLH3 is located in the nucleus. It can form dimers with AtbHLH3, AtbHLH13, and GmbHLH3a, respectively, by yeast two-hybrid and bimolecular fluorescence complementation assay. GmbHLH3 induced root growth by suppressing expression of AtPDF1.2, AtVSPP1, AtLOX2, and AtTAT1 under MeJA treatment. GmbHLH3 inhibited JA-induced leaf senescence by limiting transcription levels of the senescence-related genes AtSAG29, AtAZF2, AtWRKY22, and AtMKP2, and the chlorophyll degradation genes AtSGR, AtNYC1, AtCLH1, AtPPH, and AtPAO. Under long day conditions, in the absence of JA treatment the GmbHLH3-overexpression lines tended to have a reduced time to flowering. Moreover, GmbHLH3 transcript expression pattern analysis revealed that MeJA treatment could induce GmbHLH3 transcript in soybean. This study provides evidence that JA treatment alters the effects of GmbHLH3 on the regulation of plant growth and gene expression. It contributes to future research on the functions of bHLH TFs in soybean.
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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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".