cDNA arrays as a tool to identify mycorrhiza-regulated genes: identification of mycorrhiza-induced genes that encode or generate signaling molecules implicated in the control of root growth
Bibliographic record
Abstract
Arbuscular mycorrhizas (AM) are symbiotic associations formed by fungi from the Glomeromycota and most angiosperms. Despite the widespread occurrence of the association, its ecological significance, and its potential importance in agriculture, relatively little is known at the molecular level about the development, functioning, and regulation of the symbiosis. We have selected Medicago truncatula Gaertn. 'Jemalong' and an AM fungus, Glomus versiforme (Karsten) Berch, for molecular genetic analyses of the AM symbiosis. Here we used macroarrays as a screening tool to enable the rapid identification of genes that show differential expression in mycorrhizal roots. Forty-three genes showing increased transcript levels and 18 genes showing decreased transcripts in mycorrhizal roots were identified. This set contained several genes predicted to encode regulatory proteins including an alpha-fucosidase implicated in the generation of signaling molecules that modulate plant growth and a gene encoding a putative peptide also implicated in the control of plant growth.Key words: legume, symbiosis, arbuscular mycorrhizal fungi.
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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 | 0.001 | 0.001 |
| 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) | 0.003 | 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".