Partner communication in the arbuscular mycorrhizal interaction
Bibliographic record
Abstract
During 400 million years of genomegenome interaction, plants and arbuscular mycorrhizal (AM) fungi have become highly interdependent, both ecologically and physiologically. As a result, the differentiation of a functional mycorrhiza is a multistep process requiring the active participation of both partners. During the presymbiotic stage of the AM interaction, some active molecules present in root exudates rapidly induce several fungal genes, in addition to stimulating important cellular and metabolic functions in the fungus, such as mitochondrial biogenesis and respiration. As a result of this activation, the fungus can use its lipidic reserves and reach further developmental stages. Subsequently, the fungus produces factors that induce new gene expression in roots. The fact that the partners of the AM symbiosis exchange such "pheromonal" active molecules during the presymbiotic stage of their interaction suggests the existence of other cross-signaling molecules during the symbiotic stage. These later signals might be involved in activating fungal fatty acid synthesis and sugar uptake or be responsible for specific plant gene induction. Now the challenge is to characterize the chemical nature and the exact role of these fungal and plant regulators in the AM symbiosis.Key words: arbuscular mycorrhizal symbiosis, signaling, root exudates, Myc factor, respiration, lipid metabolism.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".