Arabidopsis Triphosphate Tunnel Metalloenzyme2 Is a Negative Regulator of the Salicylic Acid-Mediated Feedback Amplification Loop for Defense Responses
Bibliographic record
Abstract
The triphosphate tunnel metalloenzyme (TTM) superfamily represents a group of enzymes that is characterized by their ability to hydrolyze a range of tripolyphosphate substrates. Arabidopsis (Arabidopsis thaliana) encodes three TTM genes, AtTTM1, AtTTM2, and AtTTM3. Although AtTTM3 has previously been reported to have tripolyphosphatase activity, recombinantly expressed AtTTM2 unexpectedly exhibited pyrophosphatase activity. AtTTM2 knockout mutant plants exhibit an enhanced hypersensitive response, elevated pathogen resistance against both virulent and avirulent pathogens, and elevated accumulation of salicylic acid (SA) upon infection. In addition, stronger systemic acquired resistance compared with wild-type plants was observed. These enhanced defense responses are dependent on SA, PHYTOALEXIN-DEFICIENT4, and NONEXPRESSOR OF PATHOGENESIS-RELATED GENES1. Despite their enhanced pathogen resistance, ttm2 plants did not display constitutively active defense responses, suggesting that AtTTM2 is not a conventional negative regulator but a negative regulator of the amplification of defense responses. The transcriptional suppression of AtTTM2 by pathogen infection or treatment with SA or the systemic acquired resistance activator benzothiadiazole further supports this notion. Such transcriptional regulation is conserved among TTM2 orthologs in the crop plants soybean (Glycine max) and canola (Brassica napus), suggesting that TTM2 is involved in immunity in a wide variety of plant species. This indicates the possible usage of TTM2 knockout mutants for agricultural applications to generate pathogen-resistant crop plants.
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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) | 0.000 | 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) | 0.002 | 0.001 |
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".