Abstracts of Presentations at IS-MPMI XVIII Congress
Bibliographic record
Abstract
A large group of plant NLR immune receptors contain TIR (Toll/interleukin-1 receptor, resistance) domains involved in signalling at their N-termini. However, the signalling mechanism has remained unclear. TIR domains are also present in proteins involved in innate immunity and cell-death signaling pathways in animals. We have therefore been able to learn about the molecular mechanisms of signaling by TIR domains by complementary studies of both animal and plant systems. We reconstituted large assemblies of the TLR (Toll-like receptor) adaptor TIR domains and determined the structure of the filamentous assembly of the TLR adaptor MAL by cryo-electron microscopy. We further determined the crystal structure of the TIR domain from the protein SARM1, involved in axon degeneration, a cell-death process operating in neurons that involves cleavage of the dinucleotide NAD+. These studies have informed on the function of plant TIR domains. We have evidence that plant TIR domains can also self-associate though more than one interface. Structural similarities between SARM1 and plant TIR domains led us to demonstrate that plant TIR domains can cleave NAD+, and this activity likely plays a role in their HR function. Our studies unify the mechanism of function of TIR domains as "signaling by cooperative assembly formation (SCAF)" with prion-like features that leads to the activation of effector enzymes, and show that some TIR domains can themselves function as effector enzymes.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.556 | 0.408 |
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".