<scp>TGACG</scp>‐<scp>BINDING FACTOR</scp> 1 (<scp>TGA</scp>1) and <scp>TGA</scp>4 regulate salicylic acid and pipecolic acid biosynthesis by modulating the expression of <i>SYSTEMIC ACQUIRED RESISTANCE <scp>DEFICIENT</scp> 1</i> (<i><scp>SARD</scp>1</i>) and <i><scp>CALMODULIN</scp>‐<scp>BINDING PROTEIN</scp> 60g</i> (<i><scp>CBP</scp>60g</i>)
Bibliographic record
Abstract
Salicylic acid (SA) and pipecolic acid (Pip) play important roles in plant immunity. Here we analyzed the roles of transcription factors TGACG-BINDING FACTOR 1 (TGA1) and TGA4 in regulating SA and Pip biosynthesis in Arabidopsis thaliana. We quantified the expression levels of SYSTEMIC ACQUIRED RESISTANCE DEFICIENT 1 (SARD1) and CALMODULIN-BINDING PROTEIN 60g (CBP60g), which encode two master transcription factors of plant immunity, and the accumulation of SA and Pip in tga1-1 tga4-1 mutant plants. We tested whether SARD1 and CBP60g are direct targets of TGA1 by chromatin immunoprecipitation-polymerase chain reaction (ChIP-PCR). In addition to promoting pathogen-induced SA biosynthesis, we found that SARD1 and CBP60g also positively regulated Pip biosynthesis by targeting genes encoding key biosynthesis enzymes of Pip. TGA1/TGA4 were required for full induction of SARD1 and CBP60g in plant defense. ChIP-PCR analysis showed that SARD1 was a direct target of TGA1. In tga1-1 tga4-1 mutant plants, the expression levels of SARD1 and CBP60g along with SA and Pip accumulation following pathogen infection were dramatically reduced compared with those in wild-type plants. Consistent with reduced expression of SARD1 and CBP60g, pathogen-associated molecular pattern (PAMP)-induced pathogen resistance and systemic acquired resistance were compromised in tga1-1 tga4-1. Our study showed that TGA1 and TGA4 regulate Pip and SA biosynthesis by modulating the expression of SARD1 and CBP60g.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".